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Sample records for cnn diagnostic system

  1. CNN a paradigm for complexity

    CERN Document Server

    Chua, Leon O

    1998-01-01

    Revolutionary and original, this treatise presents a new paradigm of EMERGENCE and COMPLEXITY, with applications drawn from numerous disciplines, including artificial life, biology, chemistry, computation, physics, image processing, information science, etc.CNN is an acronym for Cellular Neural Networks when used in the context of brain science, or Cellular Nonlinear Networks, when used in the context of emergence and complexity. A CNN is modeled by cells and interactions: cells are defined as dynamical systems and interactions are defined via coupling laws. The CNN paradigm is a universal Tur

  2. Statistical Hypothesis Testing using CNN Features for Synthesis of Adversarial Counterexamples to Human and Object Detection Vision Systems

    Energy Technology Data Exchange (ETDEWEB)

    Raj, Sunny [Univ. of Central Florida, Orlando, FL (United States); Jha, Sumit Kumar [Univ. of Central Florida, Orlando, FL (United States); Pullum, Laura L. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Ramanathan, Arvind [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

    2017-05-01

    Validating the correctness of human detection vision systems is crucial for safety applications such as pedestrian collision avoidance in autonomous vehicles. The enormous space of possible inputs to such an intelligent system makes it difficult to design test cases for such systems. In this report, we present our tool MAYA that uses an error model derived from a convolutional neural network (CNN) to explore the space of images similar to a given input image, and then tests the correctness of a given human or object detection system on such perturbed images. We demonstrate the capability of our tool on the pre-trained Histogram-of-Oriented-Gradients (HOG) human detection algorithm implemented in the popular OpenCV toolset and the Caffe object detection system pre-trained on the ImageNet benchmark. Our tool may serve as a testing resource for the designers of intelligent human and object detection systems.

  3. Cnn: a Paradigm for Complexity

    Science.gov (United States)

    Chua, Leon O.

    The following sections are included: * What is a CNN? * Part I: Standard CNNs * Standard CNNs are uniquely specified by CNN genes * Oscillations and chaos from standard CNNs * Complete stability criteria for standard CNNs * Bistable criterion * Coding the CNN gene * Edge detection CNN * Corner detection CNN * A gallery of basic CNN genes * Does there exist a CNN gene for solving Minsky's global connectivity problem? * Decoding the CNN gene * Examples of input-output CNN operators * Uncoupled CNN genes * Boolean CNN genes and truth tables * What task can an uncoupled Boolean CNN gene Perform? * Bifurcation of CNN genes * The game-of-life CNN gene * The CNN universal machine * Generalized cellular automata * A glimpse at some real-world CNN applications * Part II: Autonomous CNNs * Pattern formation in standard CNNs * Characterization of stable equilibria * The dynamics of pattern formation * CNN pattern formation in biology and physics * Pattern formation in reaction-diffusion CNNs * Nonlinear waves in reaction-diffusion CNNs * Simulating nonlinear PDEs via autonomous CNNs * Part III: Local Activity: The Genesis of Complexity * Transistors and local activity: What do they have to common? * Nonlinear circuit models for reaction-diffusion CNNs * What is local activity? * Cell equilibrium points * Local state equations and local power flows * Local activity in reaction-diffusion CNN cells * Testing for local activity * Testing one-port CNN cells for local activity * Testing two-port CNN cells for local activity * Why is local activity necessary for pattern formation? * How to choose locally-active CNN parameters? * Local activity and stability are different concepts * The local activity dogma

  4. Evaluation of CNN as anthropomorphic model observer

    Science.gov (United States)

    Massanes, Francesc; Brankov, Jovan G.

    2017-03-01

    Model observers (MO) are widely used in medical imaging to act as surrogates of human observers in task-based image quality evaluation, frequently towards optimization of reconstruction algorithms. In this paper, we explore the use of convolutional neural networks (CNN) to be used as MO. We will compare CNN MO to alternative MO currently being proposed and used such as the relevance vector machine based MO and channelized Hotelling observer (CHO). As the success of the CNN, and other deep learning approaches, is rooted in large data sets availability, which is rarely the case in medical imaging systems task-performance evaluation, we will evaluate CNN performance on both large and small training data sets.

  5. Thioaptamer Diagnostic System Project

    Data.gov (United States)

    National Aeronautics and Space Administration — AM Biotechnologies (AM) will develop a diagnostic system in response to SBIR Topic X10.01 Reusable Diagnostic Lab Technology that will simultaneously detect and...

  6. A CNN-Specific Integrated Processor

    Directory of Open Access Journals (Sweden)

    Suleyman Malki

    2009-01-01

    Full Text Available Integrated Processors (IP are algorithm-specific cores that either by programming or by configuration can be re-used within many microelectronic systems. This paper looks at Cellular Neural Networks (CNN to become realized as IP. First current digital implementations are reviewed, and the memoryprocessor bandwidth issues are analyzed. Then a generic view is taken on the structure of the network, and a new intra-communication protocol based on rotating wheels is proposed. It is shown that this provides for guaranteed high-performance with a minimal network interface. The resulting node is small and supports multi-level CNN designs, giving the system a 30-fold increase in capacity compared to classical designs. As it facilitates multiple operations on a single image, and single operations on multiple images, with minimal access to the external image memory, balancing the internal and external data transfer requirements optimizes the system operation. In conventional digital CNN designs, the treatment of boundary nodes requires additional logic to handle the CNN value propagation scheme. In the new architecture, only a slight modification of the existing cells is necessary to model the boundary effect. A typical prototype for visual pattern recognition will house 4096 CNN cells with a 2% overhead for making it an IP.

  7. A CNN-Specific Integrated Processor

    Science.gov (United States)

    Malki, Suleyman; Spaanenburg, Lambert

    2009-12-01

    Integrated Processors (IP) are algorithm-specific cores that either by programming or by configuration can be re-used within many microelectronic systems. This paper looks at Cellular Neural Networks (CNN) to become realized as IP. First current digital implementations are reviewed, and the memoryprocessor bandwidth issues are analyzed. Then a generic view is taken on the structure of the network, and a new intra-communication protocol based on rotating wheels is proposed. It is shown that this provides for guaranteed high-performance with a minimal network interface. The resulting node is small and supports multi-level CNN designs, giving the system a 30-fold increase in capacity compared to classical designs. As it facilitates multiple operations on a single image, and single operations on multiple images, with minimal access to the external image memory, balancing the internal and external data transfer requirements optimizes the system operation. In conventional digital CNN designs, the treatment of boundary nodes requires additional logic to handle the CNN value propagation scheme. In the new architecture, only a slight modification of the existing cells is necessary to model the boundary effect. A typical prototype for visual pattern recognition will house 4096 CNN cells with a 2% overhead for making it an IP.

  8. Thioaptamer Diagnostic System Project

    Data.gov (United States)

    National Aeronautics and Space Administration — AM Biotechnologies (AM) in partnership with Sandia National Laboratories will develop a Thioaptamer Diagnostic System (TDS) in response to Topic X10.01 Reusable...

  9. Gene Disease Diagnostic System

    Institute of Scientific and Technical Information of China (English)

    黄国亮; 张腾飞; 程京; 周玉祥; 刘诚迅; 金国藩; 邬敏贤; 严瑛白; 杨蓉

    2002-01-01

    Binary optics, where the optical element can be fabricated on a thin glass plate with micro-ion-etching film layer, has been widely applied in recent years. A novel optical scanning system for gene disease diagnostics described in this paper has four kinds of optical devices, including beam splitters, an array lens, an array filter and detection arrays. A software was developed to design the binary optics system using an iterative method. Two beam splitters were designed and fabricated, which can divide a beam into a 9×9 array or into a 13×13 array. The beam splitters have good diffraction efficiencies (>70%) and an even energy distribution. The gene disease diagnostic system is a portable biochip and binary optics technology. The binary optical devices in the non-confocal scanning system can raise the fluorescence detection sensitivity of the micro-array hybrid biochip.

  10. PbCNN: A molecule containing Pb≡C bonding

    Institute of Scientific and Technical Information of China (English)

    ZHANG Wen-Bin; SHI Guo-Sheng; DING Yi-Hong; SUN Chia-Chung

    2009-01-01

    In order to predict potential molecules with Pb≡C bonding, we investigated the potential energy sur-face of a tetra-atomic system [PbCN2] at the CCSD(T)//B3LYP level. We found that the linear isomer PbCNN possesses good thermodynamic and kinetic stability. The combined molecular orbital analysis, hydrogenation heat, bond energy and bond dissociation energy all proved that PbCNN is composed of Pb≡C triple bonding.

  11. PbCNN: A molecule containing Pb≡C bonding

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    In order to predict potential molecules with Pb≡C bonding, we investigated the potential energy sur-face of a tetra-atomic system [PbCN2] at the CCSD(T)//B3LYP level. We found that the linear isomer PbCNN possesses good thermodynamic and kinetic stability. The combined molecular orbital analysis, hydrogenation heat, bond energy and bond dissociation energy all proved that PbCNN is composed of Pb≡ C triple bonding.

  12. Bio-inspired nano-sensor-enhanced CNN visual computer.

    Science.gov (United States)

    Porod, Wolfgang; Werblin, Frank; Chua, Leon O; Roska, Tamas; Rodriguez-Vazquez, Angel; Roska, Botond; Fay, Patrick; Bernstein, Gary H; Huang, Yih-Fang; Csurgay, Arpad I

    2004-05-01

    Nanotechnology opens new ways to utilize recent discoveries in biological image processing by translating the underlying functional concepts into the design of CNN (cellular neural/nonlinear network)-based systems incorporating nanoelectronic devices. There is a natural intersection joining studies of retinal processing, spatio-temporal nonlinear dynamics embodied in CNN, and the possibility of miniaturizing the technology through nanotechnology. This intersection serves as the springboard for our multidisciplinary project. Biological feature and motion detectors map directly into the spatio-temporal dynamics of CNN for target recognition, image stabilization, and tracking. The neural interactions underlying color processing will drive the development of nanoscale multispectral sensor arrays for image fusion. Implementing such nanoscale sensors on a CNN platform will allow the implementation of device feedback control, a hallmark of biological sensory systems. These biologically inspired CNN subroutines are incorporated into the new world of analog-and-logic algorithms and software, containing also many other active-wave computing mechanisms, including nature-inspired (physics and chemistry) as well as PDE-based sophisticated spatio-temporal algorithms. Our goal is to design and develop several miniature prototype devices for target detection, navigation, tracking, and robotics. This paper presents an example illustrating the synergies emerging from the convergence of nanotechnology, biotechnology, and information and cognitive science.

  13. Contributions of Cnn to Bio-Robotics and Brain Science

    Science.gov (United States)

    Arena, Paolo; Patané, Luca

    2013-01-01

    The paradigm of Cellular Non-linear Networks is ubiquitously applied in different research fields. In this chapter the breakthrough in bio-robotics and brain science research is focused. In particular the implementation of CNN-based CPGs is discussed proposing different implementations on bio-inspired robots: hexapods, lamprey-like structures, crab-inspired platforms and others. Furthermore the locomotion control system has been extended following a bottom-up procedure to include higher cognitive capabilities. The CNN paradigm was applied to design and implement perceptual architecture inspired by the insect world. Reaction-Diffusion CNN systems have been used to model the arousal of behavioral solution optimized to the on-going environmental conditions. An approach based on Turing patterns is illustrated including experimental results on navigation control with a roving robot. Finally, interesting works based on the olfactory system of insects, modeled with the Winner-less Competition principle, are reported and discussed.

  14. ITER diagnostic system: Vacuum interface

    Energy Technology Data Exchange (ETDEWEB)

    Patel, K.M., E-mail: Kaushal.Patel@iter.org [ITER Organization, Route de Vinon sur Verdon, 13115 St Paul-Lez-Durance (France); Udintsev, V.S.; Hughes, S.; Walker, C.I.; Andrew, P.; Barnsley, R.; Bertalot, L. [ITER Organization, Route de Vinon sur Verdon, 13115 St Paul-Lez-Durance (France); Drevon, J.M. [Bertin Technologies, BP 22, 13762 Aix-en Provence cedex 3 (France); Encheva, A. [ITER Organization, Route de Vinon sur Verdon, 13115 St Paul-Lez-Durance (France); Kashchuk, Y. [Institution “PROJECT CENTER ITER”, 1, Akademika Kurchatova pl., Moscow (Russian Federation); Maquet, Ph. [Bertin Technologies, BP 22, 13762 Aix-en Provence cedex 3 (France); Pearce, R.; Taylor, N.; Vayakis, G.; Walsh, M.J. [ITER Organization, Route de Vinon sur Verdon, 13115 St Paul-Lez-Durance (France)

    2013-10-15

    Diagnostics play an essential role for the successful operation of the ITER tokamak. They provide the means to observe control and to measure plasma during the operation of ITER tokamak. The components of the diagnostic system in the ITER tokamak will be installed in the vacuum vessel, in the cryostat, in the upper, equatorial and divertor ports, in the divertor cassettes and racks, as well as in various buildings. Diagnostic components that are placed in a high radiation environment are expected to operate for the life of ITER. There are approx. 45 diagnostic systems located on ITER. Some diagnostics incorporate direct or independently pumped extensions to maintain their necessary vacuum conditions. They require a base pressure less than 10{sup −7} Pa, irrespective of plasma operation, and a leak rate of less than 10{sup −10} Pa m{sup 3} s{sup −1}. In all the cases it is essential to maintain the ITER closed fuel cycle. These directly coupled diagnostic systems are an integral part of the ITER vacuum containment and are therefore subject to the same design requirements for tritium and active gas confinement, for all normal and accidental conditions. All the diagnostics, whether or not pumped, incorporate penetration of the vacuum boundary (i.e. window assembly, vacuum feedthrough etc.) and demountable joints. Monitored guard volumes are provided for all elements of the vacuum boundary that are judged to be vulnerable by virtue of their construction, material, load specification etc. Standard arrangements are made for their construction and for the monitoring, evacuating and leak testing of these volumes. Diagnostic systems are incorporated at more than 20 ports on ITER. This paper will describe typical and particular arrangements of pumped diagnostic and monitored guard volume. The status of the diagnostic vacuum systems, which are at the start of their detailed design, will be outlined and the specific features of the vacuum systems in ports and extensions

  15. First Steps Toward Incorporating Image Based Diagnostics Into Particle Accelerator Control Systems Using Convolutional Neural Networks

    Energy Technology Data Exchange (ETDEWEB)

    Edelen, A. L.; Biedron, S. G.; Milton, S. V.; Edelen, J. P.

    2016-12-16

    At present, a variety of image-based diagnostics are used in particle accelerator systems. Often times, these are viewed by a human operator who then makes appropriate adjustments to the machine. Given recent advances in using convolutional neural networks (CNNs) for image processing, it should be possible to use image diagnostics directly in control routines (NN-based or otherwise). This is especially appealing for non-intercepting diagnostics that could run continuously during beam operation. Here, we show results of a first step toward implementing such a controller: our trained CNN can predict multiple simulated downstream beam parameters at the Fermilab Accelerator Science and Technology (FAST) facility's low energy beamline using simulated virtual cathode laser images, gun phases, and solenoid strengths.

  16. Phase and Antiphase Synchronization between 3-Cell CNN and Volta Fractional-Order Chaotic Systems via Active Control

    OpenAIRE

    Zahra Yaghoubi; Hassan Zarabadipour

    2012-01-01

    Synchronization of fractional-order chaotic dynamical systems is receiving increasing attention owing to its interesting applications in secure communications of analog and digital signals and cryptographic systems. In this paper, a drive-response synchronization method is studied for “phase and antiphase synchronization” of a class of fractional-order chaotic systems via active control method, using the 3-cell and Volta systems as an example. These examples are used to illustrate the effecti...

  17. Phase and Antiphase Synchronization between 3-Cell CNN and Volta Fractional-Order Chaotic Systems via Active Control

    Directory of Open Access Journals (Sweden)

    Zahra Yaghoubi

    2012-01-01

    Full Text Available Synchronization of fractional-order chaotic dynamical systems is receiving increasing attention owing to its interesting applications in secure communications of analog and digital signals and cryptographic systems. In this paper, a drive-response synchronization method is studied for “phase and antiphase synchronization” of a class of fractional-order chaotic systems via active control method, using the 3-cell and Volta systems as an example. These examples are used to illustrate the effectiveness of the synchronization method.

  18. Theorems and Application of Local Activity of CNN with Five State Variables and One Port

    Directory of Open Access Journals (Sweden)

    Gang Xiong

    2012-01-01

    Full Text Available Coupled nonlinear dynamical systems have been widely studied recently. However, the dynamical properties of these systems are difficult to deal with. The local activity of cellular neural network (CNN has provided a powerful tool for studying the emergence of complex patterns in a homogeneous lattice, which is composed of coupled cells. In this paper, the analytical criteria for the local activity in reaction-diffusion CNN with five state variables and one port are presented, which consists of four theorems, including a serial of inequalities involving CNN parameters. These theorems can be used for calculating the bifurcation diagram to determine or analyze the emergence of complex dynamic patterns, such as chaos. As a case study, a reaction-diffusion CNN of hepatitis B Virus (HBV mutation-selection model is analyzed and simulated, the bifurcation diagram is calculated. Using the diagram, numerical simulations of this CNN model provide reasonable explanations of complex mutant phenomena during therapy. Therefore, it is demonstrated that the local activity of CNN provides a practical tool for the complex dynamics study of some coupled nonlinear systems.

  19. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

    Science.gov (United States)

    Hoo-Chang, Shin; Roth, Holger R.; Gao, Mingchen; Lu, Le; Xu, Ziyue; Nogues, Isabella; Yao, Jianhua; Mollura, Daniel

    2016-01-01

    Remarkable progress has been made in image recognition, primarily due to the availability of large-scale annotated datasets (i.e. ImageNet) and the revival of deep convolutional neural networks (CNN). CNNs enable learning data-driven, highly representative, layered hierarchical image features from sufficient training data. However, obtaining datasets as comprehensively annotated as ImageNet in the medical imaging domain remains a challenge. There are currently three major techniques that successfully employ CNNs to medical image classification: training the CNN from scratch, using off-the-shelf pre-trained CNN features, and conducting unsupervised CNN pre-training with supervised fine-tuning. Another effective method is transfer learning, i.e., fine-tuning CNN models (supervised) pre-trained from natural image dataset to medical image tasks (although domain transfer between two medical image datasets is also possible). In this paper, we exploit three important, but previously understudied factors of employing deep convolutional neural networks to computer-aided detection problems. We first explore and evaluate different CNN architectures. The studied models contain 5 thousand to 160 million parameters, and vary in numbers of layers. We then evaluate the influence of dataset scale and spatial image context on performance. Finally, we examine when and why transfer learning from pre-trained ImageNet (via fine-tuning) can be useful. We study two specific computeraided detection (CADe) problems, namely thoraco-abdominal lymph node (LN) detection and interstitial lung disease (ILD) classification. We achieve the state-of-the-art performance on the mediastinal LN detection, with 85% sensitivity at 3 false positive per patient, and report the first five-fold cross-validation classification results on predicting axial CT slices with ILD categories. Our extensive empirical evaluation, CNN model analysis and valuable insights can be extended to the design of high performance

  20. CNN Newsroom Classroom Guides. August, 1997.

    Science.gov (United States)

    Turner Educational Services, Inc., Atlanta, GA.

    These guides are designed to accompany CNN Newsroom, a daily 15-minute news program produced for classroom use and provided free to participating schools. Top stories include: peace talks stalled due to a suicide bombing in a Jerusalem market; inauguration of Iran's new president; UPS strike; budget agreement signed into law; news on teenage drug…

  1. From Cnn Dynamics to Cellular Wave Computers

    Science.gov (United States)

    Roska, Tamas

    2013-01-01

    Embedded in a historical overview, the development of the Cellular Wave Computing paradigm is presented, starting from the standard CNN dynamics. The theoretical aspects, the physical implementation, the innovation process, as well as the biological relevance are discussed in details. Finally, the latest developments, the physical versus virtual cellular machines, as well as some open questions are presented.

  2. CNN Newsroom Classroom Guides. September 1999.

    Science.gov (United States)

    Cable News Network, Atlanta, GA.

    These guides, designed to accompany the daily Cable News Network (CNN) Newsroom broadcasts for September 1-30, 1999, provide program rundowns, suggestions for class activities and discussion, links to relevant World Wide Web sites, and a list of related news terms. Top stories include: Venezuela constitutional crisis, Panama's first female…

  3. CNN Newsroom Classroom Guides. September 1999.

    Science.gov (United States)

    Cable News Network, Atlanta, GA.

    These guides, designed to accompany the daily Cable News Network (CNN) Newsroom broadcasts for September 1-30, 1999, provide program rundowns, suggestions for class activities and discussion, links to relevant World Wide Web sites, and a list of related news terms. Top stories include: Venezuela constitutional crisis, Panama's first female…

  4. CNN Newsroom Classroom Guides, July 2000.

    Science.gov (United States)

    Cable News Network, Atlanta, GA.

    These classroom guides, designed to accompany the daily CNN (Cable News Network) Newsroom broadcasts for the month of July 2000, provide program rundowns, suggestions for class activities and discussion, student handouts, and a list of related news terms. Top stories include: Mexican voters go to polls in a landmark election (July 3); Mexico's…

  5. CNN Newsroom Classroom Guides, September 2001.

    Science.gov (United States)

    Cable News Network, Atlanta, GA.

    These classroom guides, designed to accompany the daily CNN (Cable News Network) Newsroom broadcasts for the month of September 2001 provide program rundowns, suggestions for class activities and discussion, student handouts, and a list of related news terms. Top stories include: shark attacks ignite controversy in some Florida communities,…

  6. CNN-SVM for Microvascular Morphological Type Recognition with Data Augmentation.

    Science.gov (United States)

    Xue, Di-Xiu; Zhang, Rong; Feng, Hui; Wang, Ya-Lei

    2016-01-01

    This paper focuses on the problem of feature extraction and the classification of microvascular morphological types to aid esophageal cancer detection. We present a patch-based system with a hybrid SVM model with data augmentation for intraepithelial papillary capillary loop recognition. A greedy patch-generating algorithm and a specialized CNN named NBI-Net are designed to extract hierarchical features from patches. We investigate a series of data augmentation techniques to progressively improve the prediction invariance of image scaling and rotation. For classifier boosting, SVM is used as an alternative to softmax to enhance generalization ability. The effectiveness of CNN feature representation ability is discussed for a set of widely used CNN models, including AlexNet, VGG-16, and GoogLeNet. Experiments are conducted on the NBI-ME dataset. The recognition rate is up to 92.74% on the patch level with data augmentation and classifier boosting. The results show that the combined CNN-SVM model beats models of traditional features with SVM as well as the original CNN with softmax. The synthesis results indicate that our system is able to assist clinical diagnosis to a certain extent.

  7. A GPA diagnostic system for aeroengine applications

    Institute of Scientific and Technical Information of China (English)

    Yi-Guang Li

    2007-01-01

    In this research,a GPA(Gas Path Analysis)diagnostic system enhanced with GPA Index is described for gas path sensor and component fault diagnosis.A method of measurement correction is used in order that the measurement data obtained at un-standard ambient and operating conditions can be used for diagnostic analysis.The developed diagnostic system has been implemented into a Cranfield University gas turbine performance and diagnostic analysis software PYTHIA for gas turbine performance degradation analysis.The developed method and software have been applied to a model aero gas turbine engine to test the effectiveness of the system.The analysis shows that the developed diagnostic system can diagnose degraded sensor and components effectively using performance deviation measured at un-standard ambient and operational conditions.Theoretically,the idea of the diagnostic approach can be applied to different gas turbine engines.

  8. CMOS realization of a 2-layer CNN universal machine chip.

    Science.gov (United States)

    Carmona, R; Jiménez-Garrido, F; Domínguez-Castro, R; Espejo, S; Rodríguez-Vázquez, A

    2003-12-01

    Some features of the biological retina can be modelled by a 2-layer cellular neural network (CNN) composed of locally connected elementary nonlinear processors. In order to explore these complex spatiotemporal dynamics for image processing, a prototype chip has been designed and fabricated in a 0.5 microm CMOS technology. Design challenges, trade-offs, the building blocks and the tests results for this system with 0.5 x 10(6) transistors, most of them operating in analog mode, are presented in this paper.

  9. Inspecting rapidly moving surfaces for small defects using CNN cameras

    Science.gov (United States)

    Blug, Andreas; Carl, Daniel; Höfler, Heinrich

    2013-04-01

    A continuous increase in production speed and manufacturing precision raises a demand for the automated detection of small image features on rapidly moving surfaces. An example are wire drawing processes where kilometers of cylindrical metal surfaces moving with 10 m/s have to be inspected for defects such as scratches, dents, grooves, or chatter marks with a lateral size of 100 μm in real time. Up to now, complex eddy current systems are used for quality control instead of line cameras, because the ratio between lateral feature size and surface speed is limited by the data transport between camera and computer. This bottleneck is avoided by "cellular neural network" (CNN) cameras which enable image processing directly on the camera chip. This article reports results achieved with a demonstrator based on this novel analogue camera - computer system. The results show that computational speed and accuracy of the analogue computer system are sufficient to detect and discriminate the different types of defects. Area images with 176 x 144 pixels are acquired and evaluated in real time with frame rates of 4 to 10 kHz - depending on the number of defects to be detected. These frame rates correspond to equivalent line rates on line cameras between 360 and 880 kHz, a number far beyond the available features. Using the relation between lateral feature size and surface speed as a figure of merit, the CNN based system outperforms conventional image processing systems by an order of magnitude.

  10. Real-time vehicle detection and tracking in video based on faster R-CNN

    Science.gov (United States)

    Zhang, Yongjie; Wang, Jian; Yang, Xin

    2017-08-01

    Vehicle detection and tracking is a significant part in auxiliary vehicle driving system. Using the traditional detection method based on image information has encountered enormous difficulties, especially in complex background. To solve this problem, a detection method based on deep learning, Faster R-CNN, which has very high detection accuracy and flexibility, is introduced. An algorithm of target tracking with the combination of Camshift and Kalman filter is proposed for vehicle tracking. The computation time of Faster R-CNN cannot achieve realtime detection. We use multi-thread technique to detect and track vehicle by parallel computation for real-time application.

  11. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.

    Science.gov (United States)

    Shin, Hoo-Chang; Roth, Holger R; Gao, Mingchen; Lu, Le; Xu, Ziyue; Nogues, Isabella; Yao, Jianhua; Mollura, Daniel; Summers, Ronald M

    2016-05-01

    Remarkable progress has been made in image recognition, primarily due to the availability of large-scale annotated datasets and deep convolutional neural networks (CNNs). CNNs enable learning data-driven, highly representative, hierarchical image features from sufficient training data. However, obtaining datasets as comprehensively annotated as ImageNet in the medical imaging domain remains a challenge. There are currently three major techniques that successfully employ CNNs to medical image classification: training the CNN from scratch, using off-the-shelf pre-trained CNN features, and conducting unsupervised CNN pre-training with supervised fine-tuning. Another effective method is transfer learning, i.e., fine-tuning CNN models pre-trained from natural image dataset to medical image tasks. In this paper, we exploit three important, but previously understudied factors of employing deep convolutional neural networks to computer-aided detection problems. We first explore and evaluate different CNN architectures. The studied models contain 5 thousand to 160 million parameters, and vary in numbers of layers. We then evaluate the influence of dataset scale and spatial image context on performance. Finally, we examine when and why transfer learning from pre-trained ImageNet (via fine-tuning) can be useful. We study two specific computer-aided detection (CADe) problems, namely thoraco-abdominal lymph node (LN) detection and interstitial lung disease (ILD) classification. We achieve the state-of-the-art performance on the mediastinal LN detection, and report the first five-fold cross-validation classification results on predicting axial CT slices with ILD categories. Our extensive empirical evaluation, CNN model analysis and valuable insights can be extended to the design of high performance CAD systems for other medical imaging tasks.

  12. Nova alignment and laser diagnostics systems - 1

    Energy Technology Data Exchange (ETDEWEB)

    Bliss, E.S.; Ozarski, R.G.; Myers, D.W.; Richards, J.B.; Swift, C.D.; Boyd, R.D.; Hugenberger, R.E.; Seppala, L.G.; Parker, J.; Dryden, E.H.

    1981-01-01

    The alignment and laser diagnostic systems guide laser pulses through the separate amplifier chains to the target, measure their temporal, spatial and energy characteristics, and ensure simultaneous arrival at the target to within 5 picoseconds. Alignment tasks accomplished prior to each target shot involve automatic or remote-manual adjustments of approximately 2000 stepper motors and other actuators for the full 20 beam, 3 wavelength system. The primary detectors for alignment functions are CCD cameras with both digital and standard video output. Diagnostic data handling and processing is accomplished digitally, and both the alignment and diagnostic systems are integrated into the facility-wide digital control network.

  13. Design for CNN Templates with Performance of Global Connectivity Detection

    Institute of Scientific and Technical Information of China (English)

    LIU Jin-Zhu; MIN Le-Quan

    2004-01-01

    The cellular neural/nonlinear network (CNN) is a powerful tool for image and video signal processing,robotic and biological visions. This paper discusses a general method for designing template of the global connectivity detection (GCD) CNN, which provides parameter inequalities for determining parameter intervals for implementing the corresponding functions. The GCD CNN has stronger ability and faster rate for determining global connectivity in binary patterns than the GCD CNN proposed by Zarandy. An example for detecting the connectivity in complex patterns is given.

  14. Fusion Enhanced Vehicle Level Diagnostic System Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Global Technology Connection, Inc. in conjunction with its partner, Vanderbilt University, is proposing to build a Fusion-enhanced Vehicle Diagnostics System (FVDS)...

  15. Reliability and diagnostic of modular systems

    Directory of Open Access Journals (Sweden)

    J. Kohlas

    2014-01-01

    Full Text Available Reliability and diagnostic are in general two problems discussed separately. Yet the two problems are in fact closely related to each other. Here, this relation is considered in the simple case of modular systems. We show, how the computation of reliability and diagnostic can efficiently be done within the same Bayesian network induced by the modularity of the structure function of the system.

  16. SSME Post Test Diagnostic System: Systems Section

    Science.gov (United States)

    Bickmore, Timothy

    1995-01-01

    An assessment of engine and component health is routinely made after each test firing or flight firing of a Space Shuttle Main Engine (SSME). Currently, this health assessment is done by teams of engineers who manually review sensor data, performance data, and engine and component operating histories. Based on review of information from these various sources, an evaluation is made as to the health of each component of the SSME and the preparedness of the engine for another test or flight. The objective of this project - the SSME Post Test Diagnostic System (PTDS) - is to develop a computer program which automates the analysis of test data from the SSME in order to detect and diagnose anomalies. This report primarily covers work on the Systems Section of the PTDS, which automates the analyses performed by the systems/performance group at the Propulsion Branch of NASA Marshall Space Flight Center (MSFC). This group is responsible for assessing the overall health and performance of the engine, and detecting and diagnosing anomalies which involve multiple components (other groups are responsible for analyzing the behavior of specific components). The PTDS utilizes several advanced software technologies to perform its analyses. Raw test data is analyzed using signal processing routines which detect features in the data, such as spikes, shifts, peaks, and drifts. Component analyses are performed by expert systems, which use 'rules-of-thumb' obtained from interviews with the MSFC data analysts to detect and diagnose anomalies. The systems analysis is performed using case-based reasoning. Results of all analyses are stored in a relational database and displayed via an X-window-based graphical user interface which provides ranked lists of anomalies and observations by engine component, along with supporting data plots for each.

  17. Fingerprint image enhancement using CNN filtering techniques.

    Science.gov (United States)

    Saatci, Ertugrul; Tavsanoglu, Vedat

    2003-12-01

    Due to noisy acquisition devices and variation in impression conditions, the ridgelines of fingerprint images are mostly corrupted by various kinds of noise causing cracks, scratches and bridges in the ridges as well as blurs. These cause matching errors in fingerprint recognition. For an effective recognition the correct ridge pattern is essential which requires the enhancement of fingerprint images. Segment by segment analysis of the fingerprint pattern yields various ridge direction and frequencies. By selecting a directional filter with correct filter parameters to match ridge features at each point, we can effectively enhance fingerprint ridges. This paper proposes a fingerprint image enhancement based on CNN Gabor-Type filters.

  18. Beam trip diagnostic system at SSRF

    Institute of Scientific and Technical Information of China (English)

    HOU Hongtao; ZHAO Shenjie; LUO Chen; ZHAO Yubin; ZHANG Zhigang; FENG Ziqiang; MAO Dongqing; LIU Jianfei

    2009-01-01

    In this paper we report the design and realization of beam trip diagnostic system at Shanghai Synchrotron Radiation Facility (SSRF).The system can find out the first fault signal in the key operation signals related to the RF system by analyzing the time sequence,also it can decide which trips occurs first among the three superconducting RF stations.All the states of monitored signals in a time period ahead and behind beam trip are recorded.The results are compared with those from other diagnostic tools at SSRF.The work is of help in improving reliability of the superconducting RF system and stability of the storage ring operation.

  19. Diagnostic, reliablility and control systems

    CERN Document Server

    Leondes

    2014-01-01

    1. Explicit-Model-Based Fault Detection Method in Industrial Plants 2. Soft Sensor: An Effective Approach to Improve Control 3. Techniques in Soft Computing and Their Utilization in Mechatronic Products 4. Techniques in the Control of Interconnected Plants 5. A Mechatronic Systems Approach to Controlling Robotic Systems with Actuator Dynamics 6. Process and Control Design for Fast Coordinate Measuring Machines 7. Techniques in the Stability of Mechatronic Systems with Sensor or Actuator Failure.

  20. IMPLEMENTATION OF TURNOUTS TECHNICAL DIAGNOSTICS SYSTEMS

    Directory of Open Access Journals (Sweden)

    S. YU. Buryak

    2015-06-01

    Full Text Available Purpose. In the paper it is necessary to: 1 find out the causes of turnouts faults to determine diagnostic features failures; 2 consider the requirements structure, purpose components of turnouts, work and technology of their maintenance to determine the construction of the economic activities related to system to the turnout’s maintenance; 3 substantiate the possibility, necessity and prospects of automated diagnostics turnout’s implementation; 4 elaborate a prototype of an automated hardware and software system for the turnouts control parameters and perform diagnostics on them. Methodology. In the paper possible turnouts faults were presented and manifestations and influence on its work were shown. According to the current technology works the process analyze of turnouts’ maintenance was conducted, were defined the basic performed operations during the examination of appearance, parameters and check the repair or replacement of parts and assemblies. Based on the analysis of reasons of turnouts malfunctioning and their fixes were systematized types of damages and ways to deal with them, an information scheme of troubleshooting were created, opportunities and limits of automating the process of diagnostics were identified and compared with the existing method of turnouts maintenance. A diagnostics system block diagram was created, an algorithm of its work was developed and established main basic principles of operation. Software and hardware to determine the turnout’s state considering diagnostic performance of points in use were applied. Findings. During the experiment was created a method of automated turnout’s diagnostics with AC electric drives, managed centrally. The results of automated hardware and software system make it possible to control turnout’s parameters and perform diagnostics on them. Originality. Authors created the method of turnout’s state determination by current curve and its spectral composition in the

  1. Remote online machine fault diagnostic system

    Science.gov (United States)

    Pan, Min-Chun; Li, Po-Ching

    2004-07-01

    The study aims at implementing a remote online machine fault diagnostic system built up in the architecture of both the BCB software-developing environment and Internet transmission communication. Variant signal-processing computation schemes for signal analysis and pattern recognition purposes are implemented in the BCB graphical user interface. Hence, machine fault diagnostic capability can be extended by using the socket application program interface as the TCP/IP protocol. In the study, the effectiveness of the developed remote diagnostic system is validated by monitoring a transmission-element test rig. A complete monitoring cycle includes data acquisition, signal processing, feature extraction, pattern recognition through the ANNs, and online video monitoring, is demonstrated.

  2. Three-Class Mammogram Classification Based on Descriptive CNN Features

    Science.gov (United States)

    Zhang, Qianni; Jadoon, Adeel

    2017-01-01

    In this paper, a novel classification technique for large data set of mammograms using a deep learning method is proposed. The proposed model targets a three-class classification study (normal, malignant, and benign cases). In our model we have presented two methods, namely, convolutional neural network-discrete wavelet (CNN-DW) and convolutional neural network-curvelet transform (CNN-CT). An augmented data set is generated by using mammogram patches. To enhance the contrast of mammogram images, the data set is filtered by contrast limited adaptive histogram equalization (CLAHE). In the CNN-DW method, enhanced mammogram images are decomposed as its four subbands by means of two-dimensional discrete wavelet transform (2D-DWT), while in the second method discrete curvelet transform (DCT) is used. In both methods, dense scale invariant feature (DSIFT) for all subbands is extracted. Input data matrix containing these subband features of all the mammogram patches is created that is processed as input to convolutional neural network (CNN). Softmax layer and support vector machine (SVM) layer are used to train CNN for classification. Proposed methods have been compared with existing methods in terms of accuracy rate, error rate, and various validation assessment measures. CNN-DW and CNN-CT have achieved accuracy rate of 81.83% and 83.74%, respectively. Simulation results clearly validate the significance and impact of our proposed model as compared to other well-known existing techniques. PMID:28191461

  3. The ELENA Beam Diagnostics Systems

    CERN Document Server

    Tranquille, G

    2013-01-01

    The Extra Low ENergy Antiproton ring (ELENA) to be built at CERN is aimed at substantially increasing the number of antiprotons to the low energy antiproton physics community. It will be a small machine which will decelerate low intensity beams (<4x107) from 5.3 MeV to 100 keV and will be equipped with an electron cooler to avoid beam losses during the deceleration and to significantly reduce beam phase space at extraction. To measure the beam parameters from the extraction point of the Antiproton Decelerator (AD), through the ELENA ring and all the way to the experiments, many systems will be needed to ensure that the desired beam characteristics are obtained. Particular attention needs to be paid to the performance of the electron cooler which depends on reliable instrumentation in order to efficiently cool the antiprotons. This contribution will present the different monitors that have been proposed to measure the various beam parameters as well as some of the developments going on to further improve th...

  4. [Development of the lung cancer diagnostic system].

    Science.gov (United States)

    Lv, You-Jiang; Yu, Shou-Yi

    2009-07-01

    To develop a lung cancer diagnosis system. A retrospective analysis was conducted in 1883 patients with primary lung cancer or benign pulmonary diseases (pneumonia, tuberculosis, or pneumonia pseudotumor). SPSS11.5 software was used for data processing. For the relevant factors, a non-factor Logistic regression analysis was used followed by establishment of the regression model. Microsoft Visual Studio 2005 system development platform and VB.Net corresponding language were used to develop the lung cancer diagnosis system. The non-factor multi-factor regression model showed a goodness-of-fit (R2) of the model of 0.806, with a diagnostic accuracy for benign lung diseases of 92.8%, a diagnostic accuracy for lung cancer of 89.0%, and an overall accuracy of 90.8%. The model system for early clinical diagnosis of lung cancer has been established.

  5. Video integrated measurement system. [Diagnostic display devices

    Energy Technology Data Exchange (ETDEWEB)

    Spector, B.; Eilbert, L.; Finando, S.; Fukuda, F.

    1982-06-01

    A Video Integrated Measurement (VIM) System is described which incorporates the use of various noninvasive diagnostic procedures (moire contourography, electromyography, posturometry, infrared thermography, etc.), used individually or in combination, for the evaluation of neuromusculoskeletal and other disorders and their management with biofeedback and other therapeutic procedures. The system provides for measuring individual diagnostic and therapeutic modes, or multiple modes by split screen superimposition, of real time (actual) images of the patient and idealized (ideal-normal) models on a video monitor, along with analog and digital data, graphics, color, and other transduced symbolic information. It is concluded that this system provides an innovative and efficient method by which the therapist and patient can interact in biofeedback training/learning processes and holds considerable promise for more effective measurement and treatment of a wide variety of physical and behavioral disorders.

  6. Adaptive Embedded Digital System for Plasma Diagnostics

    Science.gov (United States)

    González, Angel; Rodríguez, Othoniel; Mangual, Osvaldo; Ponce, Eduardo; Vélez, Xavier

    2014-05-01

    An Adaptive Embedded Digital System to perform plasma diagnostics using electrostatic probes was developed at the Plasma Engineering Laboratory at Polytechnic University of Puerto Rico. The system will replace the existing instrumentation at the Laboratory, using reconfigurable hardware to minimize the equipment and software needed to perform diagnostics. The adaptability of the design resides on the possibility of replacing the computational algorithm on the fly, allowing to use the same hardware for different probes. The system was prototyped using Very High Speed Integrated Circuits Hardware Description Language (VHDL) into an Field Programmable Gate Array (FPGA) board. The design of the Embedded Digital System includes a Zero Phase Digital Filter, a Derivative Unit, and a Computational Unit designed using the VHDL-2008 Support Library. The prototype is able to compute the Plasma Electron Temperature and Density from a Single Langmuir probe. The system was tested using real data previously acquired from a single Langmuir probe. The plasma parameters obtained from the embedded system were compared with results computed using matlab yielding excellent matching. The new embedded system operates on 4096 samples versus 500 on the previous system, and completes its computations in 26 milliseconds compared with about 15 seconds on the previous system.

  7. Nike Facility Diagnostics and Data Acquisition System

    Science.gov (United States)

    Chan, Yung; Aglitskiy, Yefim; Karasik, Max; Kehne, David; Obenschain, Steve; Oh, Jaechul; Serlin, Victor; Weaver, Jim

    2013-10-01

    The Nike laser-target facility is a 56-beam krypton fluoride system that can deliver 2 to 3 kJ of laser energy at 248 nm onto targets inside a two meter diameter vacuum chamber. Nike is used to study physics and technology issues related to laser direct-drive ICF fusion, including hydrodynamic and laser-plasma instabilities, material behavior at extreme pressures, and optical and x-ray diagnostics for laser-heated targets. A suite of laser and target diagnostics are fielded on the Nike facility, including high-speed, high-resolution x-ray and visible imaging cameras, spectrometers and photo-detectors. A centrally-controlled, distributed computerized data acquisition system provides robust data management and near real-time analysis feedback capability during target shots. Work supported by DOE/NNSA.

  8. Climate Model Diagnostic Analyzer Web Service System

    Science.gov (United States)

    Lee, S.; Pan, L.; Zhai, C.; Tang, B.; Kubar, T. L.; Li, J.; Zhang, J.; Wang, W.

    2015-12-01

    Both the National Research Council Decadal Survey and the latest Intergovernmental Panel on Climate Change Assessment Report stressed the need for the comprehensive and innovative evaluation of climate models with the synergistic use of global satellite observations in order to improve our weather and climate simulation and prediction capabilities. The abundance of satellite observations for fundamental climate parameters and the availability of coordinated model outputs from CMIP5 for the same parameters offer a great opportunity to understand and diagnose model biases in climate models. In addition, the Obs4MIPs efforts have created several key global observational datasets that are readily usable for model evaluations. However, a model diagnostic evaluation process requires physics-based multi-variable comparisons that typically involve large-volume and heterogeneous datasets, making them both computationally- and data-intensive. In response, we have developed a novel methodology to diagnose model biases in contemporary climate models and implementing the methodology as a web-service based, cloud-enabled, provenance-supported climate-model evaluation system. The evaluation system is named Climate Model Diagnostic Analyzer (CMDA), which is the product of the research and technology development investments of several current and past NASA ROSES programs. The current technologies and infrastructure of CMDA are designed and selected to address several technical challenges that the Earth science modeling and model analysis community faces in evaluating and diagnosing climate models. In particular, we have three key technology components: (1) diagnostic analysis methodology; (2) web-service based, cloud-enabled technology; (3) provenance-supported technology. The diagnostic analysis methodology includes random forest feature importance ranking, conditional probability distribution function, conditional sampling, and time-lagged correlation map. We have implemented the

  9. Diagnostic systems in DEMO: engineering design issues

    CERN Document Server

    Todd, T N

    2014-01-01

    The diagnostic systems of DEMO that are mounted on or near the torus, whether intended for the monitoring and control functions of the engineering aspects or the physics behaviour of the machine, will have to be designed to suit the hostile nuclear environment. This will be necessary not just for their survival and correct functioning but also to satisfy the pertinent regulatory bodies, especially where any of them relate to machine protection or the prevention or mitigation of accidents foreseen in the safety case. This paper aims to indicate the more important of the reactor design considerations that are likely to apply to diagnostics for DEMO, drawn from experience on JET, the provisions in hand for ITER and modelling results for the wall erosion and neutron damage effects in DEMO.

  10. Diagnostics of polymeric materials coloring systems

    Science.gov (United States)

    Golunov, A. V.; Golunova, A. S.; Fedorova, M. A.; Trapeznikova, O. V.; Nagornova, I. V.

    2017-08-01

    The diagnostics of the color formation systems of thermosetting plastics LasilCast4, Synthene PR 403, Synthene PR 2000 was carried out. The process of selection the concentrations of coloring media for coloring thermosetting plastics in bulk is considered. An approach for improving the coloring of polymers using colour management systems based on the use of subtractive coloring media (CMY + K) is proposed. The cause-effect relationships of the influence of colorimetric parameters of pigment pastes on the process of polymers coloring were established. To describe the reproducible colors, it is proposed to construct a body of color gamut based on the data on the color-forming components. The results of the color gamut of the multicomponent polyurethane color formation system using viscous pigment pastes are presented. The technique of diagnostics coloring systems for polymers-thermosetting plastics is proposed, which provides visual clarity and high accuracy in predicting color reproduction during polymer coloring. The accuracy is confirmed by the experimental data and the calculated values of the color difference. It is shown that the system of color formation on the basis of the Synthene PR 403 polymer has the broadest color gamut.

  11. REXS : A financial risk diagnostic expert system

    Directory of Open Access Journals (Sweden)

    W. Richter

    2012-01-01

    Full Text Available

    ENGLISH ABSTRACT: Artificial intelligence techniques are rapidly emerging as important contributors to more effective management. One of the greatest growth areas probably lies in the use of Expert System methodology for supporting managerial decision processes.
    Existing Decision Support Systems often attempt to apply analytical techniques in combination with traditional data access and retrieval functions. One of the problems usually encountered while developing such decision support systems is the need to transform an unstructured problem environment into a structured analytical model. Using an expert system approach to strategic decision making in such unstructured problem environments may provide significant advantages.
    The financial Risk diagnostic EXpert System (REXS concentrates on Financial Risk Analysis. Based on a Forecasting Model the system will, with the support of several expert system knowledge bases, attempt to evaluate the financial risk of a business and provide guidelines for improvement.

    AFRIKAANSE OPSOMMING: Tegnieke gebaseer op Kunsmatige Intelligensie toon tans die belofte om belangrike bydraes te maak tot meerBestaande Besluitsteunstelsels poog dikwels om analitiese tegnieke en lradisionele datatoegang- en onttrekkingsfunksies te kombineer. Een van die probleme wat gewoonlik ondervind word gedurende die ontwikkeling van '0 besluitsteunstelsel bestaan uit die behoefte om 'n ongestruktueerde probleemomgewing te transformeer na 'n gestruktueerde analitiese model. 'n Ekspertstelselbenadering lot strategiese besluitneming in 'n ongeSlruktureerde probleemomgewing mag betekenisvolle voordele inhou.
    Die "financial Risk diagnostic EXpert System (REXS" konsentreer op fmansiele risiko-analise. Uitgaande vanaf 'n Vooruitskattingsmode~ en deur gebruik te maak van verskeie ekspertstelselkennisbasisse, poog die stelsel om die fmansiele risiko van 'n onderneming te evalueer en riglyne vir moontlike verbetering

  12. Real time PV manufacturing diagnostic system

    Energy Technology Data Exchange (ETDEWEB)

    Kochergin, Vladimir [MicroXact Inc., Blacksburg, VA (United States); Crawford, Michael A. [MicroXact Inc., Blacksburg, VA (United States)

    2015-09-01

    The main obstacle Photovoltaic (PV) industry is facing at present is the higher cost of PV energy compared to that of fossil energy. While solar cell efficiencies continue to make incremental gains these improvements are so far insufficient to drive PV costs down to match that of fossil energy. Improved in-line diagnostics however, has the potential to significantly increase the productivity and reduce cost by improving the yield of the process. On this Phase I/Phase II SBIR project MicroXact developed and demonstrated at CIGS pilot manufacturing line a high-throughput in-line PV manufacturing diagnostic system, which was verified to provide fast and accurate data on the spatial uniformity of thickness, an composition of the thin films comprising the solar cell as the solar cell is processed reel-to-reel. In Phase II project MicroXact developed a stand-alone system prototype and demonstrated the following technical characteristics: 1) ability of real time defect/composition inconsistency detection over 60cm wide web at web speeds up to 3m/minute; 2) Better than 1mm spatial resolution on 60cm wide web; 3) an average better than 20nm spectral resolution resulting in more than sufficient sensitivity to composition imperfections (copper-rich and copper-poor regions were detected). The system was verified to be high vacuum compatible. Phase II results completely validated both technical and economic feasibility of the proposed concept. MicroXact’s solution is an enabling technique for in-line PV manufacturing diagnostics to increase the productivity of PV manufacturing lines and reduce the cost of solar energy, thus reducing the US dependency on foreign oil while simultaneously reducing emission of greenhouse gasses.

  13. An inference engine for embedded diagnostic systems

    Science.gov (United States)

    Fox, Barry R.; Brewster, Larry T.

    1987-01-01

    The implementation of an inference engine for embedded diagnostic systems is described. The system consists of two distinct parts. The first is an off-line compiler which accepts a propositional logical statement of the relationship between facts and conclusions and produces data structures required by the on-line inference engine. The second part consists of the inference engine and interface routines which accept assertions of fact and return the conclusions which necessarily follow. Given a set of assertions, it will generate exactly the conclusions which logically follow. At the same time, it will detect any inconsistencies which may propagate from an inconsistent set of assertions or a poorly formulated set of rules. The memory requirements are fixed and the worst case execution times are bounded at compile time. The data structures and inference algorithms are very simple and well understood. The data structures and algorithms are described in detail. The system has been implemented on Lisp, Pascal, and Modula-2.

  14. Applying Diagnostics to Enhance Cable System Reliability (Cable Diagnostic Focused Initiative, Phase II)

    Energy Technology Data Exchange (ETDEWEB)

    Hartlein, Rick [Georgia Tech Research Corporation (GTRC), Atlanta, GA (United States). National Electric Energy Testing, Research and Applications Center (NEETRAC); Hampton, Nigel [Georgia Tech Research Corporation (GTRC), Atlanta, GA (United States). National Electric Energy Testing, Research and Applications Center (NEETRAC); Perkel, Josh [Georgia Tech Research Corporation (GTRC), Atlanta, GA (United States). National Electric Energy Testing, Research and Applications Center (NEETRAC); Hernandez, JC [Univ. de Los Andes, Merida (Venezuela); Elledge, Stacy [Georgia Tech Research Corporation (GTRC), Atlanta, GA (United States). National Electric Energy Testing, Research and Applications Center (NEETRAC); del Valle, Yamille [Georgia Tech Research Corporation (GTRC), Atlanta, GA (United States). National Electric Energy Testing, Research and Applications Center (NEETRAC); Grimaldo, Jose [Georgia Inst. of Technology, Atlanta, GA (United States). School of Electrical and Computer Engineering; Deku, Kodzo [Georgia Inst. of Technology, Atlanta, GA (United States). George W. Woodruff School of Mechanical Engineering

    2016-02-01

    The Cable Diagnostic Focused Initiative (CDFI) played a significant and powerful role in clarifying the concerns and understanding the benefits of performing diagnostic tests on underground power cable systems. This project focused on the medium and high voltage cable systems used in utility transmission and distribution (T&D) systems. While many of the analysis techniques and interpretations are applicable to diagnostics and cable systems outside of T&D, areas such as generating stations (nuclear, coal, wind, etc.) and other industrial environments were not the focus. Many large utilities in North America now deploy diagnostics or have changed their diagnostic testing approach as a result of this project. Previous to the CDFI, different diagnostic technology providers individually promoted their approach as the “the best” or “the only” means of detecting cable system defects.

  15. A comparative study of diagnostic scoring systems for autoimmune pancreatitis

    NARCIS (Netherlands)

    J. Buijs (Jorie); M. van Heerde (Marianne); E.A.J. Rauws (Erik); L.J.M. De Buy Wenniger (Lucas J. Maillette); B.E. Hansen (Bettina); K. Biermann (Katharina); J. Verheij (Joanne); F.P. Vleggaar (Frank); M.A. Brink (Menno); U. Beuers (Ulrich); E.J. Kuipers (Ernst); H.R. van Buuren (Henk); M.J. Bruno (Marco)

    2014-01-01

    textabstractOBJECTIVE: Several diagnostic scoring systems for autoimmune pancreatitis (AIP) have been proposed including the Asian, HISORt (Histology, Imaging, Serology, Other organ involvement and Response to therapy), and International Consensus Diagnostic Criteria (ICDC), which have been compared

  16. A CNN Based Approach for Garments Texture Design Classification

    Directory of Open Access Journals (Sweden)

    S.M. Sofiqul Islam

    2017-05-01

    Full Text Available Identifying garments texture design automatically for recommending the fashion trends is important nowadays because of the rapid growth of online shopping. By learning the properties of images efficiently, a machine can give better accuracy of classification. Several Hand-Engineered feature coding exists for identifying garments design classes. Recently, Deep Convolutional Neural Networks (CNNs have shown better performances for different object recognition. Deep CNN uses multiple levels of representation and abstraction that helps a machine to understand the types of data more accurately. In this paper, a CNN model for identifying garments design classes has been proposed. Experimental results on two different datasets show better results than existing two well-known CNN models (AlexNet and VGGNet and some state-of-the-art Hand-Engineered feature extraction methods.

  17. Modelling lava flows by Cellular Nonlinear Networks (CNN: preliminary results

    Directory of Open Access Journals (Sweden)

    C. Del Negro

    2005-01-01

    Full Text Available The forecasting of lava flow paths is a complex problem in which temperature, rheology and flux-rate all vary with space and time. The problem is more difficult to solve when lava runs down a real topography, considering that the relations between characteristic parameters of flow are typically nonlinear. An alternative approach to this problem that does not use standard differential equation methods is Cellular Nonlinear Networks (CNNs. The CNN paradigm is a natural and flexible framework for describing locally interconnected, simple, dynamic systems that have a lattice-like structure. They consist of arrays of essentially simple, nonlinearly coupled dynamic circuits containing linear and non-linear elements able to process large amounts of information in real time. Two different approaches have been implemented in simulating some lava flows. Firstly, a typical technique of the CNNs to analyze spatio-temporal phenomena (as Autowaves in 2-D and in 3-D has been utilized. Secondly, the CNNs have been used as solvers of partial differential equations of the Navier-Stokes treatment of Newtonian flow.

  18. Diagnostics and reliability of pipeline systems

    CERN Document Server

    Timashev, Sviatoslav

    2016-01-01

    The book contains solutions to fundamental problems which arise due to the logic of development of specific branches of science, which are related to pipeline safety, but mainly are subordinate to the needs of pipeline transportation.          The book deploys important but not yet solved aspects of reliability and safety assurance of pipeline systems, which are vital aspects not only for the oil and gas industry and, in general, fuel and energy industries , but also to virtually all contemporary industries and technologies. The volume will be useful to specialists and experts in the field of diagnostics/ inspection, monitoring, reliability and safety of critical infrastructures. First and foremost, it will be useful to the decision making persons —operators of different types of pipelines, pipeline diagnostics/inspection vendors, and designers of in-line –inspection (ILI) tools, industrial and ecological safety specialists, as well as to researchers and graduate students.

  19. System control module diagnostic Expert Assistant

    Science.gov (United States)

    Flores, Luis M.; Hansen, Roger F.

    1990-01-01

    The Orbiter EXperiments (OEX) Program was established by NASA's Office of Aeronautics and Space Technology (OAST) to accomplish the precise data collection necessary to support a complete and accurate assessment of Space Transportation System (STS) Orbiter performance during all phases of a mission. During a mission, data generated by the various experiments are conveyed to the OEX System Control Module (SCM) which arranges for and monitors storage of the data on the OEX tape recorder. The SCM Diagnostic Expert Assistant (DEA) is an expert system which provides on demand advice to technicians performing repairs of a malfunctioning SCM. The DEA is a self-contained, data-driven knowledge-based system written in the 'C' Language Production System (CLIPS) for a portable micro-computer of the IBM PC/XT class. The DEA reasons about SCM hardware faults at multiple levels; the most detailed layer of encoded knowledge of the SCM is a representation of individual components and layouts of the custom-designed component boards.

  20. Performance of the ATLAS Beam Diagnostic Systems

    CERN Document Server

    Macek, B; The ATLAS collaboration

    2010-01-01

    The beam diagnostic system of the ATLAS detector comprises two diamond sensor based devices. The innovative Beam Conditions Monitor (BCM) is aimed at resolving background from collision particles by sub-ns time-of-flight measurement. The Beam Loss Monitor (BLM) is a clone of the LHC machine BLM system, replacing ionization chambers with diamond sensors. BCM uses 16 1x1 cm2 0.5 mm thick polycrystalline chemical vapor deposition (pCVD) diamond sensors arranged in 8 positions at a radius r ≈ 55 mm, ~1.9 m up- and down-stream the interaction point. Time measurements at 2.56 GHz sampling rate are performed to distinguish between collision and shower particles from beam incidents. A FPGA-based readout system performs real-time data analysis and interfaces the results to ATLAS and the LHC beam permit system. The diamond sensors, the detector modules and their readout system are described. Results of performance with LHC beams of increasing energy and intensity including timing separation of collisions from beam re...

  1. Going Deeper With Contextual CNN for Hyperspectral Image Classification.

    Science.gov (United States)

    Lee, Hyungtae; Kwon, Heesung

    2017-10-01

    In this paper, we describe a novel deep convolutional neural network (CNN) that is deeper and wider than other existing deep networks for hyperspectral image classification. Unlike current state-of-the-art approaches in CNN-based hyperspectral image classification, the proposed network, called contextual deep CNN, can optimally explore local contextual interactions by jointly exploiting local spatio-spectral relationships of neighboring individual pixel vectors. The joint exploitation of the spatio-spectral information is achieved by a multi-scale convolutional filter bank used as an initial component of the proposed CNN pipeline. The initial spatial and spectral feature maps obtained from the multi-scale filter bank are then combined together to form a joint spatio-spectral feature map. The joint feature map representing rich spectral and spatial properties of the hyperspectral image is then fed through a fully convolutional network that eventually predicts the corresponding label of each pixel vector. The proposed approach is tested on three benchmark data sets: the Indian Pines data set, the Salinas data set, and the University of Pavia data set. Performance comparison shows enhanced classification performance of the proposed approach over the current state-of-the-art on the three data sets.

  2. CNN Newsroom Classroom Guides. March 1-31, 1996.

    Science.gov (United States)

    Cable News Network, Atlanta, GA.

    These classroom guides, designed to accompany the daily CNN (Cable News Network) Newsroom broadcasts for the month of March, provide program rundowns, suggestions for class activities and discussion, student handouts, and a list of related news terms. Topics include: negative campaign ads, the end of the Sarajevo siege, alternative medicine in…

  3. CNN Newsroom Classroom Guides. December 1-31, 1997.

    Science.gov (United States)

    Cable News Network, Atlanta, GA.

    These classroom guides, designed to accompany the daily CNN (Cable News Network) Newsroom broadcasts for the month of December, provide program rundowns, suggestions for class activities and discussion, student handouts, and a list of related news terms. Topics include: Japan hosts the Climate Change Conference, space shuttle is unable to deploy…

  4. 40 CFR 1033.112 - Emission diagnostics for SCR systems.

    Science.gov (United States)

    2010-07-01

    ... 40 Protection of Environment 32 2010-07-01 2010-07-01 false Emission diagnostics for SCR systems. 1033.112 Section 1033.112 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR....112 Emission diagnostics for SCR systems. Engines equipped with SCR systems using separate...

  5. Collected abstracts on particle beam diagnostic systems

    Energy Technology Data Exchange (ETDEWEB)

    Hickok, R.L.

    1979-01-01

    This report contains a compilation of abstracts on work related to particle beam diagnostics for high temperature plasmas. The abstracts were gathered in early 1978 and represent the status of the various programs as of that date. It is not suggested that this is a comprehensive list of all the work that is going on in the development of particle beam diagnostics, but it does provide a representative view of the work in this field. For example, no abstracts were received from the U.S.S.R. even though they have considerable activity in particle beam diagnostics.

  6. Mechatronics in design of monitoring and diagnostic systems

    Energy Technology Data Exchange (ETDEWEB)

    Uhl, T.; Barszcz, T. [Univ. of Mining and Metallurgy, Krakow (Poland); Hanc, A. [Energocontrol Ltd., Krakow (Poland)

    2003-07-01

    Nowadays development of computer engineering in area of hardware and software gives new possibilities of monitoring and diagnostics system design. The paper presents analysis of new possible solutions for design of monitoring and diagnostic systems including; smart sensor design, modular software design and communication modules. New concept of monitoring system based on home page server solution (nano-server) is presented. Smart sensor design concept with embedded hardware for diagnostic application is shown. New software concept for monitoring and diagnostics automation and examples of applications of new design for condition monitoring based on proposed solution are carefully discussed. (orig.)

  7. Intelligent systems in technical and medical diagnostics

    CERN Document Server

    Korbicz, Jozef

    2013-01-01

    For many years technical and medical diagnostics has been the area of intensive scientific research. It covers well-established topics as well as emerging developments in control engineering, artificial intelligence, applied mathematics, pattern recognition and statistics. At the same time, a growing number of applications of different fault diagnosis methods, especially in electrical, mechanical, chemical and medical engineering, is being observed. This monograph contains a collection of 44 carefully selected papers contributed by experts in technical and medical diagnostics, and constitutes

  8. Systematic Benchmarking of Diagnostic Technologies for an Electrical Power System

    Science.gov (United States)

    Kurtoglu, Tolga; Jensen, David; Poll, Scott

    2009-01-01

    Automated health management is a critical functionality for complex aerospace systems. A wide variety of diagnostic algorithms have been developed to address this technical challenge. Unfortunately, the lack of support to perform large-scale V&V (verification and validation) of diagnostic technologies continues to create barriers to effective development and deployment of such algorithms for aerospace vehicles. In this paper, we describe a formal framework developed for benchmarking of diagnostic technologies. The diagnosed system is the Advanced Diagnostics and Prognostics Testbed (ADAPT), a real-world electrical power system (EPS), developed and maintained at the NASA Ames Research Center. The benchmarking approach provides a systematic, empirical basis to the testing of diagnostic software and is used to provide performance assessment for different diagnostic algorithms.

  9. Pre-trained D-CNN models for detecting complex events in unconstrained videos

    Science.gov (United States)

    Robinson, Joseph P.; Fu, Yun

    2016-05-01

    Rapid event detection faces an emergent need to process large videos collections; whether surveillance videos or unconstrained web videos, the ability to automatically recognize high-level, complex events is a challenging task. Motivated by pre-existing methods being complex, computationally demanding, and often non-replicable, we designed a simple system that is quick, effective and carries minimal overhead in terms of memory and storage. Our system is clearly described, modular in nature, replicable on any Desktop, and demonstrated with extensive experiments, backed by insightful analysis on different Convolutional Neural Networks (CNNs), as stand-alone and fused with others. With a large corpus of unconstrained, real-world video data, we examine the usefulness of different CNN models as features extractors for modeling high-level events, i.e., pre-trained CNNs that differ in architectures, training data, and number of outputs. For each CNN, we use 1-fps from all training exemplar to train one-vs-rest SVMs for each event. To represent videos, frame-level features were fused using a variety of techniques. The best being to max-pool between predetermined shot boundaries, then average-pool to form the final video-level descriptor. Through extensive analysis, several insights were found on using pre-trained CNNs as off-the-shelf feature extractors for the task of event detection. Fusing SVMs of different CNNs revealed some interesting facts, finding some combinations to be complimentary. It was concluded that no single CNN works best for all events, as some events are more object-driven while others are more scene-based. Our top performance resulted from learning event-dependent weights for different CNNs.

  10. Climate Model Diagnostic Analyzer Web Service System

    Science.gov (United States)

    Lee, S.; Pan, L.; Zhai, C.; Tang, B.; Jiang, J. H.

    2014-12-01

    We have developed a cloud-enabled web-service system that empowers physics-based, multi-variable model performance evaluations and diagnoses through the comprehensive and synergistic use of multiple observational data, reanalysis data, and model outputs. We have developed a methodology to transform an existing science application code into a web service using a Python wrapper interface and Python web service frameworks. The web-service system, called Climate Model Diagnostic Analyzer (CMDA), currently supports (1) all the observational datasets from Obs4MIPs and a few ocean datasets from NOAA and Argo, which can serve as observation-based reference data for model evaluation, (2) many of CMIP5 model outputs covering a broad range of atmosphere, ocean, and land variables from the CMIP5 specific historical runs and AMIP runs, and (3) ECMWF reanalysis outputs for several environmental variables in order to supplement observational datasets. Analysis capabilities currently supported by CMDA are (1) the calculation of annual and seasonal means of physical variables, (2) the calculation of time evolution of the means in any specified geographical region, (3) the calculation of correlation between two variables, (4) the calculation of difference between two variables, and (5) the conditional sampling of one physical variable with respect to another variable. A web user interface is chosen for CMDA because it not only lowers the learning curve and removes the adoption barrier of the tool but also enables instantaneous use, avoiding the hassle of local software installation and environment incompatibility. CMDA will be used as an educational tool for the summer school organized by JPL's Center for Climate Science in 2014. In order to support 30+ simultaneous users during the school, we have deployed CMDA to the Amazon cloud environment. The cloud-enabled CMDA will provide each student with a virtual machine while the user interaction with the system will remain the same

  11. Climate Model Diagnostic Analyzer Web Service System

    Science.gov (United States)

    Lee, S.; Pan, L.; Zhai, C.; Tang, B.; Jiang, J. H.

    2013-12-01

    The latest Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report stressed the need for the comprehensive and innovative evaluation of climate models with newly available global observations. The traditional approach to climate model evaluation, which compares a single parameter at a time, identifies symptomatic model biases and errors but fails to diagnose the model problems. The model diagnosis process requires physics-based multi-variable comparisons that typically involve large-volume and heterogeneous datasets, making them both computationally- and data-intensive. To address these challenges, we are developing a parallel, distributed web-service system that enables the physics-based multi-variable model performance evaluations and diagnoses through the comprehensive and synergistic use of multiple observational data, reanalysis data, and model outputs. We have developed a methodology to transform an existing science application code into a web service using a Python wrapper interface and Python web service frameworks (i.e., Flask, Gunicorn, and Tornado). The web-service system, called Climate Model Diagnostic Analyzer (CMDA), currently supports (1) all the datasets from Obs4MIPs and a few ocean datasets from NOAA and Argo, which can serve as observation-based reference data for model evaluation and (2) many of CMIP5 model outputs covering a broad range of atmosphere, ocean, and land variables from the CMIP5 specific historical runs and AMIP runs. Analysis capabilities currently supported by CMDA are (1) the calculation of annual and seasonal means of physical variables, (2) the calculation of time evolution of the means in any specified geographical region, (3) the calculation of correlation between two variables, and (4) the calculation of difference between two variables. A web user interface is chosen for CMDA because it not only lowers the learning curve and removes the adoption barrier of the tool but also enables instantaneous use

  12. Diagnostics Systems for Permanent Hall Thrusters Development

    Science.gov (United States)

    Ferreira, Jose Leonardo; Soares Ferreira, Ivan; Santos, Jean; Miranda, Rodrigo; Possa, M. Gabriela

    This work describes the development of Permanent Magnet Hall Effect Plasma Thruster (PHALL) and its diagnostic systems at The Plasma Physics Laboratory of University of Brasilia. The project consists on the construction and characterization of plasma propulsion engines based on the Hall Effect. Electric thrusters have been employed in over 220 successful space missions. Two types stand out: the Hall-Effect Thruster (HET) and the Gridded Ion Engine (GIE). The first, which we deal with in this project, has the advantage of greater simplicity of operation, a smaller weight for the propulsion subsystem and a longer shelf life. It can operate in two configurations: magnetic layer and anode layer, the difference between the two lying in the positioning of the anode inside the plasma channel. A Hall-Effect Thruster-HET is a type of plasma thruster in which the propellant gas is ionized and accelerated by a magneto hydrodynamic effect combined with electrostatic ion acceleration. So the essential operating principle of the HET is that it uses a J x B force and an electrostatic potential to accelerate ions up to high speeds. In a HET, the attractive negative charge is provided by electrons at the open end of the Thruster instead of a grid, as in the case of the electrostatic ion thrusters. A strong radial magnetic field is used to hold the electrons in place, with the combination of the magnetic field and the electrostatic potential force generating a fast circulating electron current, the Hall current, around the axis of the Thruster, mainly composed by drifting electrons in an ion plasma background. Only a slow axial drift towards the anode occurs. The main attractive features of the Hall-Effect Thruster are its simple design and operating principles. Most of the Hall-Effect Thrusters use electromagnet coils to produce the main magnetic field responsible for plasma generation and acceleration. In this paper we present a different new concept, a Permanent Magnet Hall

  13. Overcoming limitations of model-based diagnostic reasoning systems

    Science.gov (United States)

    Holtzblatt, Lester J.; Marcotte, Richard A.; Piazza, Richard L.

    1989-01-01

    The development of a model-based diagnostic system to overcome the limitations of model-based reasoning systems is discussed. It is noted that model-based reasoning techniques can be used to analyze the failure behavior and diagnosability of system and circuit designs as part of the system process itself. One goal of current research is the development of a diagnostic algorithm which can reason efficiently about large numbers of diagnostic suspects and can handle both combinational and sequential circuits. A second goal is to address the model-creation problem by developing an approach for using design models to construct the GMODS model in an automated fashion.

  14. System-related factors contributing to diagnostic errors.

    Science.gov (United States)

    Thammasitboon, Satid; Thammasitboon, Supat; Singhal, Geeta

    2013-10-01

    Several studies in primary care, internal medicine, and emergency departments show that rates of errors in test requests and result interpretations are unacceptably high and translate into missed, delayed, or erroneous diagnoses. Ineffective follow-up of diagnostic test results could lead to patient harm if appropriate therapeutic interventions are not delivered in a timely manner. The frequency of system-related factors that contribute directly to diagnostic errors depends on the types and sources of errors involved. Recent studies reveal that the errors and patient harm in the diagnostic testing loop have occurred mainly at the pre- and post-analytic phases, which are directed primarily by clinicians who may have limited expertise in the rapidly expanding field of clinical pathology. These errors may include inappropriate test requests, failure/delay in receiving results, and erroneous interpretation and application of test results to patient care. Efforts to address system-related factors often focus on technical errors in laboratory testing or failures in delivery of intended treatment. System-improvement strategies related to diagnostic errors tend to focus on technical aspects of laboratory medicine or delivery of treatment after completion of the diagnostic process. System failures and cognitive errors, more often than not, coexist and together contribute to the incidents of errors in diagnostic process and in laboratory testing. The use of highly structured hand-off procedures and pre-planned follow-up for any diagnostic test could improve efficiency and reliability of the follow-up process. Many feedback pathways should be established so that providers can learn if or when a diagnosis is changed. Patients can participate in the effort to reduce diagnostic errors. Providers should educate their patients about diagnostic probabilities and uncertainties. The patient-safety strategies focusing on the interface between diagnostic system and therapeutic

  15. Design and integration of lower ports for ITER diagnostic systems

    Energy Technology Data Exchange (ETDEWEB)

    Casal, Natalia, E-mail: Natalia.casal@iter.org [ITER Organization, Route de Vinon-sur-Verdon – CS 90 046 – 13067 St Paul Lez Durance Cedex (France); Bertalot, Luciano; Cheng, Hao; Drevon, Jean Marc; Duckworth, Philip; Giacomin, Thibaud; Guirao, Julio; Iglesias, Silvia [ITER Organization, Route de Vinon-sur-Verdon – CS 90 046 – 13067 St Paul Lez Durance Cedex (France); Kochergin, Mikhail [IOFFE Institute, Saint Petersburg (Russian Federation); Martin, Alex [ITER Organization, Route de Vinon-sur-Verdon – CS 90 046 – 13067 St Paul Lez Durance Cedex (France); McCarron, Eddie [Oxford Technologies Ltd., Abingdon (United Kingdom); Mokeev, Alexander [Russian Federation Domestic Agency, Moscow (Russian Federation); Mota, Fernando [CIEMAT, Madrid (Spain); Penot, Christophe; Portales, Mickael [ITER Organization, Route de Vinon-sur-Verdon – CS 90 046 – 13067 St Paul Lez Durance Cedex (France); Kitazawa, Sin-iti [Japanese Domestic Agency, Naka (Japan); Sky, Jack [Oxford Technologies Ltd., Abingdon (United Kingdom); Suarez, Alejandro; Udintsev, Victor; Utin, Yuri [ITER Organization, Route de Vinon-sur-Verdon – CS 90 046 – 13067 St Paul Lez Durance Cedex (France); and others

    2015-10-15

    Highlights: • Lower port structures are in its conceptual design phase. • Electromagnetic and seismic loads, will dominate all other mechanical loads. • Design allows diagnostics support, neutron shielding while and signals transmission. • Installation and maintenance operations are fully remote handling compatible. - Abstract: All around the ITER vacuum vessel, forty-four ports will provide access to the vacuum vessel for remote handling operations, diagnostic systems, heating, and vacuum systems: 18 upper ports, 17 equatorial ports, and 9 lower ports. Among the lower ports, three of them will be used for the remote handling installation of the ITER divertor. Once the divertor is in place, these ports will host various diagnostic systems mounted in the so-called diagnostic racks. The diagnostic racks must allow the support and cooling of the diagnostics, extraction of the required diagnostic signals, and providing access and maintainability while minimizing the leakage of radiation toward the back of the port where the humans are allowed to enter. A fully integrated inner rack, carrying the near plasma diagnostic components, will be an stainless steel structure, 4.2 m long, with a maximum weight of 10 t. This structure brings water for cooling and baking at maximum temperature of 240 °C and provides connection with gas, vacuum and electric services. Additional racks (placed away from plasma and not requiring cooling) may be required for the support of some particular diagnostic components. The diagnostics racks and its associated ex vessel structures, which are in its conceptual design phase, are being designed to survive the lifetime of ITER of 20 years. This paper presents the current state of development including interfaces, diagnostic integration, operation and maintenance, shielding requirements, remote handling, loads cases and discussion of the main challenges coming from the severe environment and engineering requirements.

  16. Simulation, Modeling, and Analysis of Soliton Waves Interaction and Propagation in CNN Transmission Lines for Innovative Data Communication and Processing

    Directory of Open Access Journals (Sweden)

    G. Borgese

    2015-01-01

    Full Text Available We present an innovative approach to study the interaction between oblique solitons, using nonlinear transmission lines, based on Cellular Neural Network (CNN paradigm. A single transmission line consists of a 1D array of cells that interact with neighboring cells, through both linear and nonlinear connections. Each cell is controlled by a nonlinear Ordinary Differential Equation, in particular the Korteweg de Vries equation, which defines the cell status and behavior. Two typologies of CNN transmission lines are modelled: crisscross and ring lines. In order to solve KdV equations two different methods are used: 4th-order Runge-Kutta and Forward Euler methods. This is done to evaluate their accuracy and stability with the purpose of implementing CNN transmission lines on embedded systems such as FPGA and microcontrollers. Simulation/analysis Graphic User Interface platforms are designed to conduct numerical simulations and to display elaboration results. From this analysis it is possible both to identify the presence and the propagation of soliton waves on the transmission lines and to highlight the interaction between solitons and rich nonlinear dynamics. With this approach it is possible to simulate and develop the transmission and processing of information within large brain networks and high density sensor systems.

  17. Validation Tools and Methods for Diagnostic Systems Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The potential benefits of advanced algorithms for diagnostics and prognostics, inner-loop control, and other flight critical systems have been demonstrated in a...

  18. A Verification and Validation Tool for Diagnostic Systems Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Advanced diagnostic systems have the potential to improve safety, increase availability, and reduce maintenance costs in aerospace vehicle and a variety of other...

  19. Integrated Fault Diagnostics of Networks and IT Systems

    Data.gov (United States)

    National Aeronautics and Space Administration — The lecture of the Stanford-IVHM lecture series will give an overview of the approaches in building diagnostic solutions for networks and complex systems. The...

  20. A Framework for Systematic Benchmarking of Monitoring and Diagnostic Systems

    Data.gov (United States)

    National Aeronautics and Space Administration — In this paper, we present an architecture and a formal framework to be used for systematic benchmarking of monitoring and diagnostic systems and for producing...

  1. Thomson Scattering Diagnostic Data Acquisition Systems for Modern Fusion Systems

    Energy Technology Data Exchange (ETDEWEB)

    Ivanenko, S.V.; Khilchenko, A.D. [Budker Institute of Nuclear Physics and Novosibirsk State University, Novosibirsk (Russian Federation); Ovchar, V.K.; Zubarev, P.V.; Kvashnin, A.N.; Puryga, E.A.; Ivanova, A.A.; Kotelnikov, A.I. [Budker Institute of Nuclear Physics, Novosibirsk (Russian Federation)

    2015-07-01

    Uniquely designed complex data acquisition system for Thomson scattering diagnostic was developed. It allows recording short duration (3-5 ns) scattered pulses with 2 GHz sampling rate and 10-bit total resolution in oscilloscope mode. The system consists up to 48 photo detector modules with 0- 200 MHz bandwidth, 1-48 simultaneously sampling ADC modules and synchronization subsystem. The photo detector modules are based on avalanche photodiodes (APD) and ultra-low noise trans-impedance amplifiers. ADC modules include fast analog to digital converters and digital units based on the FPGA (Field- Programmable Gate Array) for data processing and storage. The synchronization subsystem is used to form triggering pulses and to organize the simultaneously mode of ADC modules operation. (authors)

  2. Diagnostic timing system for the TMX-Upgrade

    Energy Technology Data Exchange (ETDEWEB)

    Bell, H.H. Jr.; Coutts G.W.; Hinz, A.F.

    1981-10-13

    This system provides trigger signals at various times and clock signals at various frequencies for the CAMAC transient recorders of the plasma diagnostics system for the TMX-Upgrade. The timing system is designed so that all clocks are in fixed-phase relation to their corresponding triggers and to each other. Therefore, data recorded from the different diagnostics can be directly time compared. Trigger signals can be generated in 100-ns increments, with an uncertainty of 500 ps. The clock signals have a time uncertainty of less than 1 ns. The system is arranged so that these accuracies are maintained over the entire diagnostic room. The timing system is modular and uses mostly digital delay generators, signal fan outs, and frequency dividers. Because of the modular approach, the system can be arranged in several ways (producing many possible trigger times and sample rate clocks) and still maintain a system in which all clocks and triggers are in a fixed-phase relationship.

  3. Status of Beam Diagnostic Systems for the PEFP

    CERN Document Server

    Park Jang Ho; Choi Byung Ho; Ha Hwang Woon; Han, Sang-Hyo; Park, Sung-Ju; Woon Parc, Yong; Yun Huang Jung

    2005-01-01

    A proton linear accelerator is currently the construction at the KAERI (Korea Atomic Research Institute) to the PEFP (Proton Engineering Frontier Project) in Korea. We are accomplished the technique development of beam diagnostic system to be currently the construction. We treat beam diagnostics for the high power proton linear accelerator. Prototype beam position & phase monitor (BPPM) electronics was made and tested successfully in one of the beam diagnostic systems. The beam position monitor pickup electrode is a capacitive type (electrostatic type) which has a button form. Button form electrode, in common use around electron synchrotrons and storage rings, are a variant of the electrode with small button form (e.g., sub mm diameter). However, we are designed button form electrode to measure beam position of proton beam. The BCM (Beam Current Monitor) is developed Tuned CT (Current Transformer) for collaborate with Bergoz Instruments. This paper describes the status of beam diagnostic systems for the P...

  4. DIAGNOSTIC OF CNC LATHE WITH QC 20 BALLBAR SYSTEM

    Directory of Open Access Journals (Sweden)

    Jerzy Józwik

    2015-11-01

    Full Text Available This paper presents the evaluation of the influence of the feedmotion speed on the value of selected geometric errors of CNC lathe CTX 310 eco by DMG, indentified by QC 20 Ballbar system. Diagnostically evaluated were: the deviation of the axis squareness, reversal spike, and backlash. These errors determine the forming of the dimensional and shape accuracy of a machine tool. The article discusses the process of the CNC diagnostic test, the diagnostic evaluation and formulates guidelines on further CNC operation. The results of measurements were presented in tables and diagrams.

  5. Study of Failure Diagnostic Methods and Intelligent Diagnostic System for Reciprocating Compressors

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Three categories of failure diagnostic methods for reciprocating compressors are classified according to the signals adopted by the diagnosis. They are parameter method, vibration method, and oil analysis method. In this paper, the applicable range and operational difficulties of these methods are discussed on the basis of analysis and induction upon normal failure. It is proposed that a compressors normal failure can be divided into thermodynamical property failure and mechanical function failure. As to the former, the parameter method that takes a cylinder pressure signal as the main diagnostic signal may be applied ; and as to the latter, the vibration signal frequency spectrum can be used to diagnose. At the same time, the structure of an intelligent diagnostic system based on neural networks is introduced, and its schematic is given.

  6. Benchmarking Diagnostic Algorithms on an Electrical Power System Testbed

    Science.gov (United States)

    Kurtoglu, Tolga; Narasimhan, Sriram; Poll, Scott; Garcia, David; Wright, Stephanie

    2009-01-01

    Diagnostic algorithms (DAs) are key to enabling automated health management. These algorithms are designed to detect and isolate anomalies of either a component or the whole system based on observations received from sensors. In recent years a wide range of algorithms, both model-based and data-driven, have been developed to increase autonomy and improve system reliability and affordability. However, the lack of support to perform systematic benchmarking of these algorithms continues to create barriers for effective development and deployment of diagnostic technologies. In this paper, we present our efforts to benchmark a set of DAs on a common platform using a framework that was developed to evaluate and compare various performance metrics for diagnostic technologies. The diagnosed system is an electrical power system, namely the Advanced Diagnostics and Prognostics Testbed (ADAPT) developed and located at the NASA Ames Research Center. The paper presents the fundamentals of the benchmarking framework, the ADAPT system, description of faults and data sets, the metrics used for evaluation, and an in-depth analysis of benchmarking results obtained from testing ten diagnostic algorithms on the ADAPT electrical power system testbed.

  7. Detecting lung cancer symptoms with analogic CNN algorithms based on a constrained diffusion template

    Energy Technology Data Exchange (ETDEWEB)

    Hirakawa, Satoshi; Nishio, Yoshifumi; Ushida, Akio; Ueno, Junji; Kasem, I.; Nishitani, Hiromu [Tokushima Univ. (Japan); Rekeczky, C.; Roska, T.

    1997-07-01

    In this article, a new type of diffusion template and an analogic CNN algorithm using this diffusion template for detecting some lung cancer symptoms in X-ray films are proposed. The performance of the diffusion template is investigated and our CNN algorithm is verified to detect some key lung cancer symptoms, successfully. (author)

  8. A diagnostic system for high-voltage electrical components

    Energy Technology Data Exchange (ETDEWEB)

    Masetti, C.

    1988-10-01

    This paper presents an example, indicating system logic and architecture, of a centralized diagnostic system for a modern substation. Detail are provided of the part relevant to the most important functions and operations required: measurements and transduction; local signal transmission, data acquisition and possible display; remote signal transmission; central processing, interpretation and decision-making. The diagnostic system in this case was designed to control a number of power transformers of a utility or large industrial user operating on a regional scale: the example can be extended in a modular way to include also the monitoring of other components (GIS, circuit breakers, arresters, etc.), or of more stations of a larger national network. The diagnostic system envisaged is thus flexible, with respect to the different functions required to solve, and modular, so that it can be integrated and expanded gradually as one pleases.

  9. Deblurring of QR Code Images by Linear CNN%线性CNN用于QR码图像去模糊化处理

    Institute of Scientific and Technical Information of China (English)

    刘砚一; 胡洁; 刘红英

    2012-01-01

    摘要在物联网时代中,QR码的应用非常广泛,QR码图像的去模糊研究具有重要的实际意义.细胞神经网络(CNN)以其高速并行处理、二值输入输出、便于电路实现等特性,在图像处理中有着广泛的应用,文章在分析了图像去模糊化理论基础上,采用线性CNN构造图像的去模糊化模型,实现了模糊图像的恢复.通过实验比较,在相同参数条件下,线性CNN去模糊化模型对含噪模糊图像的恢复效果更好,鲁棒性更高.%In the periods of the Internet of things, the applications of QR code are extensive. The researches about deblurring of QR code images are important. The CNN used in images processing with its superior characteristic in high speed parallel processing; binary inputs and outputs and suitable for on-chip implementations. In this paper, we used linear CNN system to construct the delurring module to recover the degraded images. With comparing the results of experiment, the module of linear CNN get the better result for including noise degraded images.

  10. Analytical Criteria for Local Activity of CNN with Two Ports and Application to Smoothed Chua's Circuit

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Presents analytic criteria for the local activity theory in two-port cellular neural network (CNN) cells with four local state variables, and gives the application to a smoothed Chua's circuit (SCC) CNN with two-port and 1515 arrays. The bifurcation diagrams of the SCC CNN show that they are completely the same as those of an SCC CNN with one-port calculated earlier, which do not exist locally passive domain. The evolution of the patterns of the state variables of the SCC CNN is stimulated. Oscillatory patterns, chaotic patterns, or divergent patterns may emerge if the selected cell parameters are located in the locally active unstable domains but nearby the edge of chaos domain.

  11. Fast infectious diseases diagnostics based on microfluidic biochip system

    Directory of Open Access Journals (Sweden)

    Qin Huang

    2017-03-01

    Full Text Available Molecular diagnostics is one of the most important tools currently in use for clinical pathogen detection due to its high sensitivity, specificity, and low consume of sample and reagent is keyword to low cost molecular diagnostics. In this paper, a sensitive DNA isothermal amplification method for fast clinical infectious diseases diagnostics at aM concentrations of DNA was developed using a polycarbonate (PC microfluidic chip. A portable confocal optical fluorescence detector was specifically developed for the microfluidic chip that was capable of highly sensitive real-time detection of amplified products for sequence-specific molecular identification near the optical diffraction limit with low background. The molecular diagnostics of Listeria monocytogenes with nucleic acid extracted from stool samples was performed at a minimum DNA template concentration of 3.65aM, and a detection limit of less than five copies of genomic DNA. Contrast to the general polymerase chain reaction (PCR at eppendorf (EP tube, the detection time in our developed method was reduced from 1.5h to 45min for multi-target parallel detection, the consume of sample and reagent was dropped from 25μL to 1.45μL. This novel microfluidic chip system and method can be used to develop a micro total analysis system as a clinically relevant pathogen molecular diagnostics method via the amplification of targets, with potential applications in biotechnology, medicine, and clinical molecular diagnostics.

  12. Digital Schlieren System for Flow Diagnostics Project

    Data.gov (United States)

    National Aeronautics and Space Administration — This is an SBIR proposal to develop a revolutionary digital schlieren imaging system that will greatly improve a widely used aerodynamics tool and render it so...

  13. A Comparison of Particle Diagnostic Systems

    Science.gov (United States)

    1981-08-01

    Figs. 3a and b) consists of a flowmetering venturi , plenum chamber, water spray system, belimouth, removable inlet connecting ducts, and a test...Supply ~ _ _ X C2~ X X ~ FBcl lm°uth . - c . . . . ~=, , ~ - ~ \\ \\ \\ 1 / A1 r Supplp~y Venturi Throat Diam) Plenum Chamber Ins t rumenta t...34 l 7 ~ (Optics ¥ Electronics Y Mask Oscillator \\ 60 deg m o Do o Mask Lens Figure 11. AEDC<leveloped PSI optical system. Tubo

  14. Electrically heated particulate filter diagnostic systems and methods

    Science.gov (United States)

    Gonze, Eugene V [Pinckney, MI

    2009-09-29

    A system that diagnoses regeneration of an electrically heated particulate filter is provided. The system generally includes a grid module that diagnoses a fault of the grid based on at least one of a current signal and a voltage signal. A diagnostic module at least one of sets a fault status and generates a warning signal based on the fault of the grid.

  15. Automatic system for corneal ulcer diagnostic: II

    Science.gov (United States)

    Ventura, Liliane; Chiaradia, Caio; Faria de Sousa, Sidney J.

    1998-06-01

    Corneal Ulcer is a deepithelization of the cornea and it is a very common disease in agricultural countries. The clinician most used parameter in order to identify a favorable ulcer evolution is the regress of the affected area. However, this kind of evaluation is subjective, once just the horizontal and vertical axes are measured based on a graduated scale and the affected area is estimated. Also, the registration of the disease is made by photographs. In order to overcome the subjectiveness and to register the images in a more accessible way (hard disks, floppy disks, etc.), we have developed an automatic system in order to evaluate the affected area (the ulcer). An optical system is implemented in a Slit Lamp (SL) and connected to a CCD detector. The image is displayed in PC monitor by a commercial frame grabber and a dedicated software for determining the area of the ulcer (precision of 20 mm) has been developed.

  16. Facial-paralysis diagnostic system based on 3D reconstruction

    Science.gov (United States)

    Khairunnisaa, Aida; Basah, Shafriza Nisha; Yazid, Haniza; Basri, Hassrizal Hassan; Yaacob, Sazali; Chin, Lim Chee

    2015-05-01

    The diagnostic process of facial paralysis requires qualitative assessment for the classification and treatment planning. This result is inconsistent assessment that potential affect treatment planning. We developed a facial-paralysis diagnostic system based on 3D reconstruction of RGB and depth data using a standard structured-light camera - Kinect 360 - and implementation of Active Appearance Models (AAM). We also proposed a quantitative assessment for facial paralysis based on triangular model. In this paper, we report on the design and development process, including preliminary experimental results. Our preliminary experimental results demonstrate the feasibility of our quantitative assessment system to diagnose facial paralysis.

  17. The oral-systemic connection: role of salivary diagnostics

    Science.gov (United States)

    Malamud, Daniel

    2013-05-01

    Utilizing saliva instead of blood for diagnosis of both local and systemic health is a rapidly emerging field. Recognition of oral-systemic interrelationships for many diseases has fostered collaborations between medicine and dentistry, and many of these collaborations rely on salivary diagnostics. The oral cavity is easily accessed and contains most of the analytes present in blood. Saliva and mucosal transudate are generally utilized for oral diagnostics, but gingival crevicular fluid, buccal swabs, dental plaque and volatiles may also be useful depending on the analyte being studied. Examples of point-of-care devices capable of detecting HIV, TB, and Malaria targets are being developed and discussed in this overview.

  18. Dynamic Visualization of SNS Diagnostics Summary Report and System Status

    CERN Document Server

    Blokland, Willem; Long, Cary D; Murphy, Darryl J; Purcell, John D; Sundaram, Madhan

    2005-01-01

    The Spallation Neutron Source (SNS) accelerator systems will deliver a 1.0 GeV, 1.4 MW proton beam to a liquid mercury target for neutron scattering research. The accelerator complex consists of a 1 GeV linear accelerator, an accumulator ring and associated transport lines. The SNS diagnostics platform is PC-based running Embedded Windows XP and LabVIEW. The diagnostics instruments communicate with the control system using the Channel Access (CA) protocol of the Experimental Physics and Industrial Control System (EPICS). This paper describes the Diagnostics Group's approach to collecting data from the instruments, processing it, and presenting live in a summarized way over the web. Effectively, adding a supervisory level to the diagnostics instruments. One application of this data mining is the "Diagnostics Status Page" that summarizes the insert-able devices, transport efficiencies, and the mode of the accelerator in a compact webpage. The displays on the webpage change automatically to show the latest and/o...

  19. [SCAN system--semi-structured interview based on diagnostic criteria].

    Science.gov (United States)

    Adamowski, Tomasz; Kiejna, Andrzej; Hadryś, Tomasz

    2006-01-01

    This paper presents the main features of contemporary diagnostic systems which are implemented into the SCAN--modern and semi-structured diagnostic interview. The concepts of further development of the classifications, rationale for operationalized diagnostic criteria and for the divisional approach to mental diagnoses will be in focus. The structure and components of SCAN ver. 2.1 (WHO), i.e. Present State Examination--10th edition, Item Group Checklist, Clinical History Schedule, Glossary of Definitions and computer software with the diagnostic algorithm: I-Shell, as well as rules for a reliable use of diagnostic rating scales, will be discussed within the scope of this paper. The materials and training sets necessary for the learning of proper use of the SCAN, especially training sets for SCAN Training Centers and the Reference Manual--a form of guidebook for SCAN shall be introduced. Finally the paper will present evidence that SCAN is an instrument feasible in different cultural settings. Reliability and validity data of SCAN will also be dealt with indicating that SCAN could be widely used in research studies as well as in everyday clinical practice facilitating more detailed diagnostic approach to a patient.

  20. Atypical epigenetic mark in an atypical location: cytosine methylation at asymmetric (CNN sites within the body of a non-repetitive tomato gene

    Directory of Open Access Journals (Sweden)

    Iusem Norberto D

    2011-05-01

    Full Text Available Abstract Background Eukaryotic DNA methylation is one of the most studied epigenetic processes, as it results in a direct and heritable covalent modification triggered by external stimuli. In contrast to mammals, plant DNA methylation, which is stimulated by external cues exemplified by various abiotic types of stress, is often found not only at CG sites but also at CNG (N denoting A, C or T and CNN (asymmetric sites. A genome-wide analysis of DNA methylation in Arabidopsis has shown that CNN methylation is preferentially concentrated in transposon genes and non-coding repetitive elements. We are particularly interested in investigating the epigenetics of plant species with larger and more complex genomes than Arabidopsis, particularly with regards to the associated alterations elicited by abiotic stress. Results We describe the existence of CNN-methylated epialleles that span Asr1, a non-transposon, protein-coding gene from tomato plants that lacks an orthologous counterpart in Arabidopsis. In addition, to test the hypothesis of a link between epigenetics modifications and the adaptation of crop plants to abiotic stress, we exhaustively explored the cytosine methylation status in leaf Asr1 DNA, a model gene in our system, resulting from water-deficit stress conditions imposed on tomato plants. We found that drought conditions brought about removal of methyl marks at approximately 75 of the 110 asymmetric (CNN sites analysed, concomitantly with a decrease of the repressive H3K27me3 epigenetic mark and a large induction of expression at the RNA level. When pinpointing those sites, we observed that demethylation occurred mostly in the intronic region. Conclusions These results demonstrate a novel genomic distribution of CNN methylation, namely in the transcribed region of a protein-coding, non-repetitive gene, and the changes in those epigenetic marks that are caused by water stress. These findings may represent a general mechanism for the

  1. Preliminary consideration of CFETR ITER-like case diagnostic system.

    Science.gov (United States)

    Li, G S; Yang, Y; Wang, Y M; Ming, T F; Han, X; Liu, S C; Wang, E H; Liu, Y K; Yang, W J; Li, G Q; Hu, Q S; Gao, X

    2016-11-01

    Chinese Fusion Engineering Test Reactor (CFETR) is a new superconducting tokamak device being designed in China, which aims at bridging the gap between ITER and DEMO, where DEMO is a tokamak demonstration fusion reactor. Two diagnostic cases, ITER-like case and towards DEMO case, have been considered for CFETR early and later operating phases, respectively. In this paper, some preliminary consideration of ITER-like case will be presented. Based on ITER diagnostic system, three versions of increased complexity and coverage of the ITER-like case diagnostic system have been developed with different goals and functions. Version A aims only machine protection and basic control. Both of version B and version C are mainly for machine protection, basic and advanced control, but version C has an increased level of redundancy necessary for improved measurements capability. The performance of these versions and needed R&D work are outlined.

  2. A method for knowledge acquisition in diagnostic expert system.

    Science.gov (United States)

    Li, Weishi; Li, Aiping; Li, Shudong

    2015-01-01

    Knowledge acquisition plays very important role in the diagnostic expert system. It usually takes a long period to acquire disease knowledge using the traditional methods. To solve this problem, this paper describes relations between rough set theory and rule-based description of diseases, which corresponds to the process of knowledge acquisition of diagnostic expert system. Then the exclusive rules, inclusive rules and disease images of disease are built based on the PDES diagnosis model, and the definition of probability rule is put forward. At last, the paper presents the rule-based automated induction reasoning method, including exhaustive search, post-processing procedure, estimation for statistic test and the bootstrap and resampling methods. We also introduce automated induction of the rule-based description, which is used in our diseases diagnostic expert system. The experimental results not only show that rough set theory gives a very suitable framework to represent processes of uncertain knowledge extraction, but also that this method induces diagnostic rules correctly. This method can act as the assistant tool for development of diagnosis expert system, and has an extensive application in intelligent information systems.

  3. Mining key elements for severe convection prediction based on CNN

    Science.gov (United States)

    Liu, Ming; Pan, Ning; Zhang, Changan; Sha, Hongzhou; Zhang, Bolei; Liu, Liang; Zhang, Meng

    2017-04-01

    Severe convective weather is a kind of weather disasters accompanied by heavy rainfall, gust wind, hail, etc. Along with recent developments on remote sensing and numerical modeling, there are high-volume and long-term observational and modeling data accumulated to capture massive severe convective events over particular areas and time periods. With those high-volume and high-variety weather data, most of the existing studies and methods carry out the dynamical laws, cause analysis, potential rule study, and prediction enhancement by utilizing the governing equations from fluid dynamics and thermodynamics. In this study, a key-element mining method is proposed for severe convection prediction based on convolution neural network (CNN). It aims to identify the key areas and key elements from huge amounts of historical weather data including conventional measurements, weather radar, satellite, so as numerical modeling and/or reanalysis data. Under this manner, the machine-learning based method could help the human forecasters on their decision-making on operational weather forecasts on severe convective weathers by extracting key information from the real-time and historical weather big data. In this paper, it first utilizes computer vision technology to complete the data preprocessing work of the meteorological variables. Then, it utilizes the information such as radar map and expert knowledge to annotate all images automatically. And finally, by using CNN model, it cloud analyze and evaluate each weather elements (e.g., particular variables, patterns, features, etc.), and identify key areas of those critical weather elements, then help forecasters quickly screen out the key elements from huge amounts of observation data by current weather conditions. Based on the rich weather measurement and model data (up to 10 years) over Fujian province in China, where the severe convective weathers are very active during the summer months, experimental tests are conducted with

  4. Study for the design method of multi-agent diagnostic system to improve diagnostic performance for similar abnormality

    Energy Technology Data Exchange (ETDEWEB)

    Minowa, Hirotsugu; Gofuku, Akio [Okayama University, Okayama (Japan)

    2014-08-15

    Accidents on industrial plants cause large loss on human, economic, social credibility. In recent, studies of diagnostic methods using techniques of machine learning such as support vector machine is expected to detect the occurrence of abnormality in a plant early and correctly. There were reported that these diagnostic machines has high accuracy to diagnose the operating state of industrial plant under mono abnormality occurrence. But the each diagnostic machine on the multi-agent diagnostic system may misdiagnose similar abnormalities as a same abnormality if abnormalities to diagnose increases. That causes that a single diagnostic machine may show higher diagnostic performance than one of multi-agent diagnostic system because decision-making considering with misdiagnosis is difficult. Therefore, we study the design method for multi-agent diagnostic system to diagnose similar abnormality correctly. This method aimed to realize automatic generation of diagnostic system where the generation process and location of diagnostic machines are optimized to diagnose correctly the similar abnormalities which are evaluated from the similarity of process signals by statistical method. This paper explains our design method and reports the result evaluated our method applied to the process data of the fast-breeder reactor Monju.

  5. The Feasibility of a Diagnostic Media Test System Model.

    Science.gov (United States)

    Rapp, Alfred V.

    Research investigated the feasibility of a diagnostic media test system. Two distinct tests were developed for sixth grade and university populations, each having: 1) a main phase with three specific teaching sequences, one for each media form; 2) test items for each teaching sequence; and 3) a validation phase with one teaching sequence…

  6. Synchronization in driven chaotic systems: Diagnostics and bifurcations

    DEFF Research Database (Denmark)

    Vadivasova, T.E.; Balanov, A.G.; Sosnovtseva, O.V.;

    1999-01-01

    We investigate generic aspects of chaos synchronization in an externally forced Rössler system. By comparing different diagnostic methods, we show the existence of a well-defined cut-off of synchronization associated with the transition from weak to fully developed chaos. Two types of chaotic beh...... behavior, differing by the number of vanishing Lyapunov exponents, are observed outside the synchronization regime....

  7. Diagnostic Systems Approach to Watershed Management

    Energy Technology Data Exchange (ETDEWEB)

    Davisson, M L

    2001-02-23

    The water quality of discharge from the surface water system is ultimately dictated by land use and climate within the watershed. Water quality has vastly improved from point source reduction measures, yet, non-point source pollutants continue to rise. 30 to 40% of rivers still do not meet water quality standards for reasons that include impact from urban storm water runoff, agricultural and livestock runoff, and loss of wetlands. Regulating non-point source pollutants proves to be difficult since specific dischargers are difficult to identify. However, parameters such as dissolved organic carbon (DOC) limit the amounts of chlorination due to simultaneous disinfection by-product formation. The concept of watershed management has gained much ground over the years as a means to resolve non-point source problems. Under this management scheme stakeholders in a watershed collectively agree to the nature and extent of non-point sources, determine water quality causes using sound scientific approaches, and together develop and implement a corrective plan. However, the ''science'' of watershed management currently has several shortcomings according to a recent National Research Council report. The scientific component of watershed management depends on acquiring knowledge that links water quality sources with geographic regions. However, there is an observational gap in this knowledge. In particular, almost all the water quality data that exists at a utility are of high frequency collected at a single point over a long period of time. Water quality data for utility purposes are rarely collected over an entire watershed. The potential is high, however, for various utilities in a single watershed to share and integrate water quality data, but no regulatory incentives exist at this point. The only other available water quality data originate from special scientific studies. Unfortunately these data rarely have long-term records and are usually tailored to

  8. NEURAL NETWORK SYSTEM FOR DIAGNOSTICS OF AVIATION DESIGNATION PRODUCTS

    Directory of Open Access Journals (Sweden)

    В. Єременко

    2011-02-01

    Full Text Available In the article for solving the classification problem of the technical state of the  object, proposed to use a hybrid neural network with a Kohonen layer and multilayer perceptron. The information-measuring system can be used for standardless diagnostics, cluster analysis and to classify the products which made from composite materials. The advantage of this architecture is flexibility, high performance, ability to use different methods for collecting diagnostic information about unit under test, high reliability of information processing

  9. Artificial intelligence methods in diagnostics of analog systems

    Directory of Open Access Journals (Sweden)

    Bilski Piotr

    2014-06-01

    Full Text Available The paper presents the state of the art and advancement of artificial intelligence methods in analog systems diagnostics. Firstly, the diagnostic domain is introduced and its problems explained. Then, computational intelligence approaches usable for fault detection and identification are reviewed. Particular groups of methods are presented in detail, explaining their usefulness and drawbacks. Examples, such as the induction motor or the electronic filter, are provided to show the applicability of the presented approaches for monitoring the state of analog objects from engineering domains. The discussion section reviews the presented approaches, their future prospects and problems to be solved.

  10. BrainNetCNN: Convolutional neural networks for brain networks; towards predicting neurodevelopment.

    Science.gov (United States)

    Kawahara, Jeremy; Brown, Colin J; Miller, Steven P; Booth, Brian G; Chau, Vann; Grunau, Ruth E; Zwicker, Jill G; Hamarneh, Ghassan

    2017-02-01

    We propose BrainNetCNN, a convolutional neural network (CNN) framework to predict clinical neurodevelopmental outcomes from brain networks. In contrast to the spatially local convolutions done in traditional image-based CNNs, our BrainNetCNN is composed of novel edge-to-edge, edge-to-node and node-to-graph convolutional filters that leverage the topological locality of structural brain networks. We apply the BrainNetCNN framework to predict cognitive and motor developmental outcome scores from structural brain networks of infants born preterm. Diffusion tensor images (DTI) of preterm infants, acquired between 27 and 46 weeks gestational age, were used to construct a dataset of structural brain connectivity networks. We first demonstrate the predictive capabilities of BrainNetCNN on synthetic phantom networks with simulated injury patterns and added noise. BrainNetCNN outperforms a fully connected neural-network with the same number of model parameters on both phantoms with focal and diffuse injury patterns. We then apply our method to the task of joint prediction of Bayley-III cognitive and motor scores, assessed at 18 months of age, adjusted for prematurity. We show that our BrainNetCNN framework outperforms a variety of other methods on the same data. Furthermore, BrainNetCNN is able to identify an infant's postmenstrual age to within about 2 weeks. Finally, we explore the high-level features learned by BrainNetCNN by visualizing the importance of each connection in the brain with respect to predicting the outcome scores. These findings are then discussed in the context of the anatomy and function of the developing preterm infant brain.

  11. Final design of thermal diagnostic system in SPIDER ion source

    Science.gov (United States)

    Brombin, M.; Dalla Palma, M.; Pasqualotto, R.; Pomaro, N.

    2016-11-01

    The prototype radio frequency source of the ITER heating neutral beams will be first tested in SPIDER test facility to optimize H- production, cesium dynamics, and overall plasma characteristics. Several diagnostics will allow to fully characterise the beam in terms of uniformity and divergence and the source, besides supporting a safe and controlled operation. In particular, thermal measurements will be used for beam monitoring and system protection. SPIDER will be instrumented with mineral insulated cable thermocouples, both on the grids, on other components of the beam source, and on the rear side of the beam dump water cooled elements. This paper deals with the final design and the technical specification of the thermal sensor diagnostic for SPIDER. In particular the layout of the diagnostic, together with the sensors distribution in the different components, the cables routing and the conditioning and acquisition cubicles are described.

  12. Final design of thermal diagnostic system in SPIDER ion source

    Energy Technology Data Exchange (ETDEWEB)

    Brombin, M., E-mail: matteo.brombin@igi.cnr.it; Dalla Palma, M.; Pasqualotto, R.; Pomaro, N. [Consorzio RFX, Corso Stati Uniti 4, I-35127 Padova (Italy)

    2016-11-15

    The prototype radio frequency source of the ITER heating neutral beams will be first tested in SPIDER test facility to optimize H{sup −} production, cesium dynamics, and overall plasma characteristics. Several diagnostics will allow to fully characterise the beam in terms of uniformity and divergence and the source, besides supporting a safe and controlled operation. In particular, thermal measurements will be used for beam monitoring and system protection. SPIDER will be instrumented with mineral insulated cable thermocouples, both on the grids, on other components of the beam source, and on the rear side of the beam dump water cooled elements. This paper deals with the final design and the technical specification of the thermal sensor diagnostic for SPIDER. In particular the layout of the diagnostic, together with the sensors distribution in the different components, the cables routing and the conditioning and acquisition cubicles are described.

  13. Remote network control plasma diagnostic system for Tokamak T-10

    Science.gov (United States)

    Troynov, V. I.; Zimin, A. M.; Krupin, V. A.; Notkin, G. E.; Nurgaliev, M. R.

    2016-09-01

    The parameters of molecular plasma in closed magnetic trap is studied in this paper. Using the system of molecular diagnostics, which was designed by the authors on the «Tokamak T-10» facility, the radiation of hydrogen isotopes at the plasma edge is investigated. The scheme of optical radiation registration within visible spectrum is described. For visualization, identification and processing of registered molecular spectra a new software is developed using MatLab environment. The software also includes electronic atlas of electronic-vibrational-rotational transitions for molecules of protium and deuterium. To register radiation from limiter cross-section a network control system is designed using the means of the Internet/Intranet. Remote control system diagram and methods are given. The examples of web-interfaces for working out equipment control scenarios and viewing of results are provided. After test run in Intranet, the remote diagnostic system will be accessible through Internet.

  14. A Study on Development of Engine Fault Diagnostic System

    Directory of Open Access Journals (Sweden)

    Hwa-seon Kim

    2015-01-01

    Full Text Available This study implemented a mobile diagnosing system that provides user-centered interfaces for more precisely estimating and diagnosing engine conditions through communications with the self-developed ECU only for industrial CRDI engine use. For the implemented system, a new protocol was designed and applied based on OBD-II standard to receive engine data values of the developed ECU. The designed protocol consists of a message structure to request data transmission from a smartphone to ECU and a response message structure for ECU to send data to a smartphone. It transmits 31 pieces of engine condition information simultaneously and sends the trouble diagnostic code. Because the diagnostic system enables real-time communication through modules, the engine condition information can be checked at any time. Thus, because when troubles take place on the engine, users can check them right away, quick response and resolution are possible, and stable system management can be expected.

  15. Protection and Diagnostic Systems for High Intensity Beams

    CERN Document Server

    Jensen, L; Vismara, Giuseppe

    2000-01-01

    This paper presents a summary of the facilities for beam interlocks and diagnostics to protect the CERN SPS machine. An overview of the existing systems is given, which are based on beam loss and beam current monitors and large beam position excursion in the horizontal plane. The later system mainly protects the system against a failure of the transverse damping system. The design for a new large excursion interlock for both transverse planes is also presented in some detail. For this system a digital approach is being taken to allow post-mortem analysis of the behaviour of the beam prior to the activation of the interlock.

  16. Knowledge-based diagnostic system with probabilistic approach

    Directory of Open Access Journals (Sweden)

    Adina COCU

    2007-12-01

    Full Text Available This paper presents a knowledge learning diagnostic approach implemented in an educational system. Probabilistic inference is used here to diagnose knowledge understanding level and to reason about probable cause of learner’s misconceptions. When one learner takes an assessment, the system use probabilistic reasoning and will advice the learner about the most appropriate error cause and will also provide, the conforming part of theory which treats errors related to his misconceptions.

  17. On a New Video Encryption Algorithm Based on CNN Hyperchaos%基于 CNN 超混沌的视频加密新算法

    Institute of Scientific and Technical Information of China (English)

    朱艳平

    2016-01-01

    针对视频数据实时性高,数据量大等特点,提出了一种基于细胞神经网络的视频加密新算法。该算法以五维CNN 作为密钥源,根据明文视频帧的尺寸和明文视频帧本身来选择加密密钥,依据扩散思想,对视频进行加密处理。该算法加/解密速度快,可对任何格式的视频数据实现保密通信,具备通用性,且密钥敏感性和明文敏感性强,密钥空间大,可有效抵抗穷举攻击、统计分析攻击、已知明文攻击、选择明文攻击和密文攻击,安全性更高,具有一定的实用价值。%Aiming at video data high real-time performance,the characteristics of large amount of data, proposed a new video encryption algorithm based on cellular neural network.In the algorithm,five dimen-sional CNN hyperchaotic system have been used as key source,according to the plaintext video frame size and the plaintext video frame itself,selected the encryption key,based on diffusion theory,encrypted vid-eo.The encryption and decryption speed of the algorithm is fast,any format video data can achieve secure communications,has universality;the key sensitivity and plaintext sensitivity are strong,the key space is large.Can effectively resist brute attack,statistical attack,known plaintext attack,chosen plaintext at-tack and cipher text attack,has higher security and a certain practical value.

  18. Optical diagnostics integrated with laser spark delivery system

    Science.gov (United States)

    Yalin, Azer; Willson, Bryan; Defoort, Morgan; Joshi, Sachin; Reynolds, Adam

    2008-09-02

    A spark delivery system for generating a spark using a laser beam is provided, and includes a laser light source and a laser delivery assembly. The laser delivery assembly includes a hollow fiber and a launch assembly comprising launch focusing optics to input the laser beam in the hollow fiber. The laser delivery assembly further includes exit focusing optics that demagnify an exit beam of laser light from the hollow fiber, thereby increasing the intensity of the laser beam and creating a spark. Other embodiments use a fiber laser to generate a spark. Embodiments of the present invention may be used to create a spark in an engine. Yet other embodiments include collecting light from the spark or a flame resulting from the spark and conveying the light for diagnostics. Methods of using the spark delivery systems and diagnostic systems are provided.

  19. Advanced monitoring, fault diagnostics, and maintenance of cryogenic systems

    CERN Document Server

    Girone, Mario; Pezzetti, Marco

    In this Thesis, advanced methods and techniques of monitoring, fault diagnostics, and predictive maintenance for cryogenic processes and systems are described. In particular, in Chapter 1, mainstreams in research on measurement systems for cryogenic processes are reviewed with the aim of dening key current trends and possible future evolutions. Then, in Chapter 2, several innovative methods are proposed. A transducer based on a virtual ow meter is presented for monitoring helium distribution and consumption in cryogenic systems for particle accelerators [1]. Furthermore, a comprehensive metrological analysis of the proposed transducer for verifying the metrological performance and pointing out most critical uncertainty sources is described [2]. A model-based method for fault detection and early-stage isolation, able to work with few records of Frequency Response Function (FRF) on an unfaulty compressor, is then proposed [3]. To enrich the proposal, a distributed diagnostic procedure, based on a micro-genetic...

  20. Prototyping low-cost and flexible vehicle diagnostic systems

    Directory of Open Access Journals (Sweden)

    Marisol GARCÍA-VALLS

    2016-12-01

    Full Text Available Diagnostic systems are software and hardware-based equipment that interoperate with an external monitored system. Traditionally, they have been expensive equipment running test algorithms to monitor physical properties of, e.g., vehicles, or civil infrastructure equipment, among others. As computer hardware is increasingly powerful (whereas its cost and size is decreasing and communication software becomes easier to program and more run-time efficient, new scenarios are enabled that yield to lower cost monitoring solutions. This paper presents a low cost approach towards the development of a diagnostic systems relying on a modular component-based approach and running on a resource limited embedded computer. Results on a prototype implementation are shown that validate the presented design, its flexibility, performance, and communication latency.

  1. ISHM-oriented adaptive fault diagnostics for avionics based on a distributed intelligent agent system

    Science.gov (United States)

    Xu, Jiuping; Zhong, Zhengqiang; Xu, Lei

    2015-10-01

    In this paper, an integrated system health management-oriented adaptive fault diagnostics and model for avionics is proposed. With avionics becoming increasingly complicated, precise and comprehensive avionics fault diagnostics has become an extremely complicated task. For the proposed fault diagnostic system, specific approaches, such as the artificial immune system, the intelligent agents system and the Dempster-Shafer evidence theory, are used to conduct deep fault avionics diagnostics. Through this proposed fault diagnostic system, efficient and accurate diagnostics can be achieved. A numerical example is conducted to apply the proposed hybrid diagnostics to a set of radar transmitters on an avionics system and to illustrate that the proposed system and model have the ability to achieve efficient and accurate fault diagnostics. By analyzing the diagnostic system's feasibility and pragmatics, the advantages of this system are demonstrated.

  2. A new dump system design for stray light reduction of Thomson scattering diagnostic system on EAST

    Science.gov (United States)

    Xiao, Shumei; Zang, Qing; Han, Xiaofeng; Wang, Tengfei; Yu, Jin; Zhao, Junyu

    2016-07-01

    Thomson scattering (TS) diagnostic is an important diagnostic for measuring electron temperature and density during plasma discharge. However, the measurement of Thomson scattering signal is disturbed by the stray light easily. The stray light sources in the Experimental Advanced Superconducting Tokamak (EAST) TS diagnostic system were analyzed by a simulation model of the diagnostic system, and simulation results show that the dump system is the primary stray light source. Based on the optics theory and the simulation analysis, a novel dump system including an improved beam trap was proposed and installed. The measurement results indicate that the new dump system can reduce more than 60% of the stray light for the diagnostic system, and the influence of stray light on the error of measured density decreases.

  3. A new dump system design for stray light reduction of Thomson scattering diagnostic system on EAST.

    Science.gov (United States)

    Xiao, Shumei; Zang, Qing; Han, Xiaofeng; Wang, Tengfei; Yu, Jin; Zhao, Junyu

    2016-07-01

    Thomson scattering (TS) diagnostic is an important diagnostic for measuring electron temperature and density during plasma discharge. However, the measurement of Thomson scattering signal is disturbed by the stray light easily. The stray light sources in the Experimental Advanced Superconducting Tokamak (EAST) TS diagnostic system were analyzed by a simulation model of the diagnostic system, and simulation results show that the dump system is the primary stray light source. Based on the optics theory and the simulation analysis, a novel dump system including an improved beam trap was proposed and installed. The measurement results indicate that the new dump system can reduce more than 60% of the stray light for the diagnostic system, and the influence of stray light on the error of measured density decreases.

  4. Automatization of hardware configuration for plasma diagnostic system

    Science.gov (United States)

    Wojenski, A.; Pozniak, K. T.; Kasprowicz, G.; Kolasinski, P.; Krawczyk, R. D.; Zabolotny, W.; Linczuk, P.; Chernyshova, M.; Czarski, T.; Malinowski, K.

    2016-09-01

    Soft X-ray plasma measurement systems are mostly multi-channel, high performance systems. In case of the modular construction it is necessary to perform sophisticated system discovery in parallel with automatic system configuration. In the paper the structure of the modular system designed for tokamak plasma soft X-ray measurements is described. The concept of the system discovery and further automatic configuration is also presented. FCS application (FMC/ FPGA Configuration Software) is used for running sophisticated system setup with automatic verification of proper configuration. In order to provide flexibility of further system configurations (e.g. user setup), common communication interface is also described. The approach presented here is related to the automatic system firmware building presented in previous papers. Modular construction and multichannel measurements are key requirement in term of SXR diagnostics with use of GEM detectors.

  5. Diagnostics monitor of the braking efficiency in the on board diagnostics system for the motor vehicles

    Science.gov (United States)

    Gajek, Andrzej

    2016-09-01

    The article presents diagnostics monitor for control of the efficiency of brakes in various road conditions in cars equipped with pressure sensor in brake (ESP) system. Now the brake efficiency of the vehicles is estimated periodically in the stand conditions on the base of brake forces measurement or in the road conditions on the base of the brake deceleration. The presented method allows to complete the stand - periodical tests of the brakes by current on board diagnostics system OBD for brakes. First part of the article presents theoretical dependences between deceleration of the vehicle and brake pressure. The influence of the vehicle mass, initial speed of braking, temperature of brakes, aerodynamic drag, rolling resistance, engine resistance, state of the road surface, angle of the road sloping on the deceleration have been analysed. The manner of the appointed of these parameters has been analysed. The results of the initial investigation have been presented. At the end of the article the strategy of the estimation and signalization of the irregular value of the deceleration are presented.

  6. The Diagnostic Value of Skin Disease Diagnosis Expert System.

    Science.gov (United States)

    Jeddi, Fatemeh Rangraz; Arabfard, Masoud; Arabkermany, Zahra; Gilasi, Hamidreza

    2016-02-01

    Evaluation is a necessary measure to ensure the effectiveness and efficiency of all systems, including expert systems. The aim of this study was to determine the diagnostic value of expert system for diagnosis of complex skin diseases. A case-control study was conducted in 2015 to determine the diagnostic value of an expert system. The study population included patients who were referred to Razi Specialized Hospital, affiliated to Tehran University of Medical Sciences. The control group was selected from patients without the selected skin diseases. Data collection tool was a checklist of clinical signs of diseases including pemphigus vulgaris, lichen planus, basal cell carcinoma, melanoma, and scabies. The sample size formula estimated 400 patients with skin diseases selected by experts and 200 patients without the selected skin diseases. Patient selection was undertaken with randomized stratified sampling and their sign and symptoms were logged into the system. Physician's diagnosis was determined as the gold standard and was compared with the diagnosis of expert system by SPSS software version 16 and STATA. Kappa statistics, indicators of sensitivity, specificity, accuracy and confidence intervals were calculated for each disease. An accuracy of 90% was considered appropriate. Comparing the results of expert system and physician's diagnosis at the evaluation stage showed an accuracy of 97.1%, sensitivity of 97.5% and specificity of 96.5% The Kappa test indicated a high agreement of 93.6%. The expert system can diagnose complex skin diseases. Development of such systems is recommended to identify all skin diseases.

  7. A Diagnostic System for Speed-Varying Motor Rotary Faults

    Directory of Open Access Journals (Sweden)

    Chwan-Lu Tseng

    2014-01-01

    Full Text Available This study proposed an intelligent rotary fault diagnostic system for motors. A sensorless rotational speed detection method and an improved dynamic structural neural network are used. Moreover, to increase the convergence speed of training, a terminal attractor method and a hybrid discriminant analysis are also adopted. The proposed method can be employed to detect the rotary frequencies of motors with varying speeds and can enhance the discrimination of motor faults. To conduct the experiments, this study used wireless sensor nodes to transmit vibration data and employed MATLAB to write codes for functional modules, including the signal processing, sensorless rotational speed estimation, neural network, and stochastic process control chart. Additionally, Visual Basic software was used to create an integrated human-machine interface. The experimental results regarding the test of equipment faults indicated that the proposed novel diagnostic system can effectively estimate rotational speeds and provide superior ability of motor fault discrimination with fast training convergence.

  8. Some Congruence Properties of a Restricted Bipartition Function cN(n

    Directory of Open Access Journals (Sweden)

    Nipen Saikia

    2016-01-01

    Full Text Available Let cN(n denote the number of bipartitions (λ,μ of a positive integer n subject to the restriction that each part of μ is divisible by N. In this paper, we prove some congruence properties of the function cN(n for N=7, 11, and 5l, for any integer l≥1, by employing Ramanujan’s theta-function identities.

  9. Programmable bio-nano-chip system for saliva diagnostics

    Science.gov (United States)

    Christodoulides, Nicolaos; De La Garza, Richard; Simmons, Glennon W.; McRae, Michael P.; Wong, Jorge; Kosten, Thomas R.; Miller, Craig S.; Ebersole, Jeffrey L.; McDevitt, John

    2014-06-01

    This manuscript describes programmable Bio-Nano-Chip (p-BNC) approach that serves as miniaturized assay platform designed for the rapid detection and quantitation of multiple analytes in biological fluids along with the specific applications in salivary diagnostics intended for the point of need (PON). Included here are oral fluid-based tests for local periodontal disease, systemic cardiac disease and multiplexed tests for drugs of abuse.

  10. The Diagnostic System of A – 604 Automatic Transmission

    Directory of Open Access Journals (Sweden)

    Czaban Jaroslaw

    2014-09-01

    Full Text Available Automatic gearbox gains increasing popularity in Europe. Little interest in diagnosis of such type of transmission in Poland results from the fact of small share in the whole market of operated cars, so there is a lack of availability of special diagnostic devices. These factors cause issues of expensive repairs, often involving a replacement of subassembly to new or aftermarket one. To a small extent some prophylactic diagnostic tests are conducted, which can eliminate future gearbox system failures. In the paper, the proposition of diagnostic system of popular A - 604 gearbox was presented. The authors are seeking for the possibility of using such type of devices to functional elaboration of gearboxes after renovation. The built system pursues the drive of the researched object, connected with simulated load, where special controller, replacing the original one, is responsible for controlling gearbox operation. This way is used to evaluate the mechanic and hydraulic parts' state. Analysis of signal runs, registered during measurements lets conclude about operation correctness, where as comparison with stock data verifies the technical state of an automatic gearbox.

  11. Application of cellular neural network (CNN) to the prediction of missing air pollutant data

    Science.gov (United States)

    Şahin, Ülkü Alver; Bayat, Cuma; Uçan, Osman N.

    2011-07-01

    For air-quality assessments in most major urban centers, air pollutants are monitored using continuous samplers. Sometimes data are not collected due to equipment failure or during equipment calibration. In this paper, we predict daily air pollutant concentrations (PM 10 and SO 2) from the Yenibosna and Umraniye air pollution measurement stations in Istanbul for times at which pollution data was not recorded. We predicted these pollutant concentrations using the CNN model with meteorological parameters, estimating missing daily pollutant concentrations for two data sets from 2002 to 2003. These data sets had 50 and 20% of data missing. The results of the CNN model predictions are compared with the results of a multivariate linear regression (LR). Results show that the correlation between predicted and observed data was higher for all pollutants using the CNN model (0.54-0.87). The CNN model predicted SO 2 concentrations better than PM 10 concentrations. Another interesting result is that winter concentrations of all pollutants were predicted better than summer concentrations. Experiments showed that accurate predictions of missing air pollutant concentrations are possible using the new approach contained in the CNN model. We therefore proposed a new approach to model air-pollution monitoring problem using CNN.

  12. [Development of expert diagnostic system for common respiratory diseases].

    Science.gov (United States)

    Xu, Wei-hua; Chen, You-ling; Yan, Zheng

    2014-03-01

    To develop an internet-based expert diagnostic system for common respiratory diseases. SaaS system was used to build architecture; pattern of forward reasoning was applied for inference engine design; ASP.NET with C# from the tool pack of Microsoft Visual Studio 2005 was used for website-interview medical expert system.The database of the system was constructed with Microsoft SQL Server 2005. The developed expert system contained large data memory and high efficient function of data interview and data analysis for diagnosis of various diseases.The users were able to perform this system to obtain diagnosis for common respiratory diseases via internet. The developed expert system may be used for internet-based diagnosis of various respiratory diseases,particularly in telemedicine setting.

  13. Expert system applications in support of system diagnostics and prognostics at EBR-II

    Energy Technology Data Exchange (ETDEWEB)

    Lehto, W.K.; Gross, K.C. (Argonne National Lab., Idaho Falls, ID (USA); Argonne National Lab., IL (USA))

    1989-01-01

    Expert systems have been developed to aid in the monitoring and diagnostics of the Experimental Breeder Reactor-II (EBR-II) at the Idaho National Engineering Laboratory (INEL) in Idaho Falls, Idaho. Systems have been developed for failed fuel surveillance and diagnostics and reactor coolant pump monitoring and diagnostics. A third project is being done jointly by ANL-W and EG G Idaho to develop a transient analysis system to enhance overall plant diagnostic and prognostic capability. The failed fuel surveillance and diagnosis system monitors, processes, and interprets information from nine key plant sensors. It displays to the reactor operator diagnostic information needed to make proper decisions regarding technical specification conformance during reactor operation with failed fuel. 8 refs., 9 figs., 2 tabs.

  14. Design of Thomson scattering diagnostic system on J-TEXT

    Science.gov (United States)

    Zhou, Yinan; Gao, Li; Huang, Jiefeng; Qiu, Qingshuang; Zhuang, Ge

    2016-11-01

    An infrared multi-channel Thomson scattering diagnostic system is designed from the viewpoint of development of the proposed system on the Joint Texas Experimental Tokamak (J-TEXT). A 3 J/50 Hz Nd:YAG laser, which is injected vertically into plasma in the direction from top to bottom, serves as the power source of the system. The scattering light is then collected horizontally and is transmitted to an interference-filter avalanche photodiode based polychromater for spectrum analysis. The system covers the half plasma cross section, providing 14 spatial points with 2 cm resolution. The proposed system can thus satisfy the requirements of the J-TEXT at present and in the near future. A detailed description of the system design is presented in this paper.

  15. Evaluation of the NDP (neutron diagnostic probe) system

    Energy Technology Data Exchange (ETDEWEB)

    Pentaleri, E.A.; Eisen, Y.Y.

    1990-12-01

    The neutron diagnostic probe (NDP), an explosive detection system developed by Consolidated Controls Corporation and based on the associated-alpha-particle technique, was evaluated. Although many problems were found with the prototype system that make it useless for most practical applications, the NDP system may be considered a successful proof-of-principle for the basic explosive detection system design. In addition to evaluating the design and performance of the present system, models were developed to estimate the performance that might reasonably be expected from full scale systems of different conceptual design. Specific examples involved various types of bulk and sheet explosives contained in a suitcase and a large crate. Also considered were the effects of innocuous materials surrounding explosives in different scenarios, including the deliberate use of shielding materials as a countermeasure to detection. 11 refs., 46 figs., 24 tabs.

  16. Design of Thomson scattering diagnostic system on J-TEXT.

    Science.gov (United States)

    Zhou, Yinan; Gao, Li; Huang, Jiefeng; Qiu, Qingshuang; Zhuang, Ge

    2016-11-01

    An infrared multi-channel Thomson scattering diagnostic system is designed from the viewpoint of development of the proposed system on the Joint Texas Experimental Tokamak (J-TEXT). A 3 J/50 Hz Nd:YAG laser, which is injected vertically into plasma in the direction from top to bottom, serves as the power source of the system. The scattering light is then collected horizontally and is transmitted to an interference-filter avalanche photodiode based polychromater for spectrum analysis. The system covers the half plasma cross section, providing 14 spatial points with 2 cm resolution. The proposed system can thus satisfy the requirements of the J-TEXT at present and in the near future. A detailed description of the system design is presented in this paper.

  17. Lithium beam diagnostic system on the COMPASS tokamak

    Energy Technology Data Exchange (ETDEWEB)

    Anda, G.; Bencze, A. [Wigner – RCP, HAS, Budapest (Hungary); Berta, M., E-mail: bertam@sze.hu [Institute of Plasma Physics AS CR, Prague (Czech Republic); Széchenyi István University, Győr (Hungary); Dunai, D. [Wigner – RCP, HAS, Budapest (Hungary); Hacek, P. [Institute of Plasma Physics AS CR, Prague (Czech Republic); Faculty of Mathematics and Physics, Charles University in Prague, Prague (Czech Republic); Krbec, J. [Institute of Plasma Physics AS CR, Prague (Czech Republic); Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Prague (Czech Republic); Réfy, D.; Krizsanóczi, T.; Bató, S.; Ilkei, T.; Kiss, I.G.; Veres, G.; Zoletnik, S. [Wigner – RCP, HAS, Budapest (Hungary)

    2016-10-15

    Highlights: • Li-beam diagnostic system on the COMPASS tokamak is an improved and compact system to allow testing of Atomic Beam Probe. • The possibility to measure background corrected density profiles on the few microseconds time scale. • First Li-beam diagnostic system with recirculating neutralizer. • The system includes the redesigned ion source with longer lifetime. - Abstract: An improved lithium beam based beam emission spectroscopy system – installed on COMPASS tokamak – is described. The beam energy enhanced up to 120 keV for Atomic Beam Probe measurement. The size of the ion source is doubled, using a newly developed thermionic heater instead of the conventionally used heating (tungsten or molybdenum) filament. The neutralizer is also improved. It produces the same sodium vapor in a cell but minimize the loss condensing the vapor on a cold surface which is led back (in fluid state) into the sodium oven. This way we call it recirculating neutralizer. The observation system consists of a CCD camera and an avalanche photodiode array.

  18. Gated integrator PXI-DAQ system for Thomson scattering diagnostics

    Energy Technology Data Exchange (ETDEWEB)

    Patel, Kiran, E-mail: kkpatel@ipr.res.in; Pillai, Vishal; Singh, Neha; Thomas, Jinto; Kumar, Ajai

    2017-06-15

    Gated Integrator (GI) PXI based data acquisition (DAQ) system has been designed and developed for the ease of acquiring fast Thomson Scattered signals (∼50 ns pulse width). The DAQ system consists of in-house designed and developed GI modules and PXI-1405 chassis with several PXI-DAQ modules. The performance of the developed system has been validated during the SST-1 campaigns. The dynamic range of the GI module depends on the integrating capacitor (C{sub i}) and the modules have been calibrated using 12 pF and 27 pF integrating capacitors. The developed GI module based data acquisition system consists of sixty four channels for simultaneous sampling using eight PXI based digitization modules having eight channels per module. The error estimation and functional tests of this unit are carried out using standard source and also with the fast detectors used for Thomson scattering diagnostics. User friendly Graphical User Interface (GUI) has been developed using LabVIEW on Windows platform to control and acquire the Thomson scattering signal. A robust, easy to operate and maintain with low power consumption, having higher dynamic range with very good sensitivity and cost effective DAQ system is developed and tested for the SST-1 Thomson scattering diagnostics.

  19. How to Use the DX SYSTEM of Diagnostic Testing. Methodology Project.

    Science.gov (United States)

    McArthur, David; Cabello, Beverly

    The DX SYSTEM of Diagnostic Testing is an easy-to-use computerized system for developing and administering diagnostic tests. A diagnostic test measures a student's mastery of a specific domain (skill or content area). It examines the necessary subskills hierarchically from the most to the least complex. The DX SYSTEM features tailored testing with…

  20. An intelligent online fault diagnostic scheme for nonlinear systems

    Institute of Scientific and Technical Information of China (English)

    Hing Tung MOK; Che Wai CHAN; Zaiyue YANG

    2008-01-01

    An online fault diagnostic scheme for nonlinear systems based on neurofuzzy networks is proposed in this paper.The scheme involves two stages.In the first stage,the nonlinear system is approximated by a neurofuzzy network,which is trained offline from data obtained during the normal operation of the system.In the second stage,residual is generated online from this network and is modelled by another neurofuzzy network trained online.Fuzzy rules are extracted from this network,and are compared with those in the fault database obmined under different faulty operations,from which faults are diagnosed.The performance of the proposed intelligent fault scheme is illustrated using a two.tank water level control system under different faulty conditions.

  1. Neural network diagnostic system for dengue patients risk classification.

    Science.gov (United States)

    Faisal, Tarig; Taib, Mohd Nasir; Ibrahim, Fatimah

    2012-04-01

    With the dramatic increase of the worldwide threat of dengue disease, it has been very crucial to correctly diagnose the dengue patients in order to decrease the disease severity. However, it has been a great challenge for the physicians to identify the level of risk in dengue patients due to overlapping of the medical classification criteria. Therefore, this study aims to construct a noninvasive diagnostic system to assist the physicians for classifying the risk in dengue patients. Systematic producers have been followed to develop the system. Firstly, the assessment of the significant predictors associated with the level of risk in dengue patients was carried out utilizing the statistical analyses technique. Secondly, Multilayer perceptron neural network models trained via Levenberg-Marquardt and Scaled Conjugate Gradient algorithms was employed for constructing the diagnostic system. Finally, precise tuning for the models' parameters was conducted in order to achieve the optimal performance. As a result, 9 noninvasive predictors were found to be significantly associated with the level of risk in dengue patients. By employing those predictors, 75% prediction accuracy has been achieved for classifying the risk in dengue patients using Scaled Conjugate Gradient algorithm while 70.7% prediction accuracy were achieved by using Levenberg-Marquardt algorithm.

  2. TV-acquired optical diagnostics systems on ATA

    Energy Technology Data Exchange (ETDEWEB)

    Kalibjian, R.; Chong, Y.P.; Cornish, J.P.; Jackson, C.H.; Fessenden, T.J.

    1984-06-01

    The purpose of this paper is to report on optical system developments on the ATA and their applications to ATA beam characterization. Television (TV)-acquired optical diagnostics data provide spatial and temporal properties of the ATA beam that complements recorded information from other types of sensors, such as, beam-wall current monitors, x-ray probes, and rf probes. The ATA beam operates: (1) in the normal mode at 50-MeV, 10-kA at a 1-Hz rate; and (2) in the 1-KHz burst mode (for 10-pulses) at a 0.5 Hz rate. The beam has a 70-ns pulse width in vacuum propagation; however, beam-head erosion will occur in atmospheric propagation, thus limiting the pulse width to less than 50-ns. Various optical systems are used for ATA diagnostics. Optical-imaging provides a convenient measurement in a single pulse of the 2-dimensional profile of the beam intensity. It can also provide multiple 2-D framing in a single pulse. In some studies it may be desirable to study optical events with temporal resolution less than 100-ps with 1-dimensional streak cameras. Spatially integrated data from phototube cameras can also be used for background measurement applications as well as for single pixel monitoring. The optical line-of-sight (LOS) configurations have been made versatile to accommodate a large number of options for the various optical systems.

  3. Modeling and Measurement Constraints in Fault Diagnostics for HVAC Systems

    Energy Technology Data Exchange (ETDEWEB)

    Najafi, Massieh; Auslander, David M.; Bartlett, Peter L.; Haves, Philip; Sohn, Michael D.

    2010-05-30

    Many studies have shown that energy savings of five to fifteen percent are achievable in commercial buildings by detecting and correcting building faults, and optimizing building control systems. However, in spite of good progress in developing tools for determining HVAC diagnostics, methods to detect faults in HVAC systems are still generally undeveloped. Most approaches use numerical filtering or parameter estimation methods to compare data from energy meters and building sensors to predictions from mathematical or statistical models. They are effective when models are relatively accurate and data contain few errors. In this paper, we address the case where models are imperfect and data are variable, uncertain, and can contain error. We apply a Bayesian updating approach that is systematic in managing and accounting for most forms of model and data errors. The proposed method uses both knowledge of first principle modeling and empirical results to analyze the system performance within the boundaries defined by practical constraints. We demonstrate the approach by detecting faults in commercial building air handling units. We find that the limitations that exist in air handling unit diagnostics due to practical constraints can generally be effectively addressed through the proposed approach.

  4. A diagnostic methodology for refrigerating systems; Methodologie de diagnostic des installations frigorifiques

    Energy Technology Data Exchange (ETDEWEB)

    Vrinat, G. [Association Francaise du Froid (AFF), 75 - Paris (France)

    1997-12-31

    A diagnostic methodology for refrigerating machines, equipment and plants has been defined and evaluated for EDF, the French national power utility and ADEME, the French Agency for Energy Conservation, in the framework of energy conservation objectives: the diagnostic method should enable to identify malfunctions, assess the cost efficiency of the equipment, identify limiting factors, and consider corrective measures

  5. Enhancement of ELDA Tracker Based on CNN Features and Adaptive Model Update.

    Science.gov (United States)

    Gao, Changxin; Shi, Huizhang; Yu, Jin-Gang; Sang, Nong

    2016-04-15

    Appearance representation and the observation model are the most important components in designing a robust visual tracking algorithm for video-based sensors. Additionally, the exemplar-based linear discriminant analysis (ELDA) model has shown good performance in object tracking. Based on that, we improve the ELDA tracking algorithm by deep convolutional neural network (CNN) features and adaptive model update. Deep CNN features have been successfully used in various computer vision tasks. Extracting CNN features on all of the candidate windows is time consuming. To address this problem, a two-step CNN feature extraction method is proposed by separately computing convolutional layers and fully-connected layers. Due to the strong discriminative ability of CNN features and the exemplar-based model, we update both object and background models to improve their adaptivity and to deal with the tradeoff between discriminative ability and adaptivity. An object updating method is proposed to select the "good" models (detectors), which are quite discriminative and uncorrelated to other selected models. Meanwhile, we build the background model as a Gaussian mixture model (GMM) to adapt to complex scenes, which is initialized offline and updated online. The proposed tracker is evaluated on a benchmark dataset of 50 video sequences with various challenges. It achieves the best overall performance among the compared state-of-the-art trackers, which demonstrates the effectiveness and robustness of our tracking algorithm.

  6. Enhancement of ELDA Tracker Based on CNN Features and Adaptive Model Update

    Directory of Open Access Journals (Sweden)

    Changxin Gao

    2016-04-01

    Full Text Available Appearance representation and the observation model are the most important components in designing a robust visual tracking algorithm for video-based sensors. Additionally, the exemplar-based linear discriminant analysis (ELDA model has shown good performance in object tracking. Based on that, we improve the ELDA tracking algorithm by deep convolutional neural network (CNN features and adaptive model update. Deep CNN features have been successfully used in various computer vision tasks. Extracting CNN features on all of the candidate windows is time consuming. To address this problem, a two-step CNN feature extraction method is proposed by separately computing convolutional layers and fully-connected layers. Due to the strong discriminative ability of CNN features and the exemplar-based model, we update both object and background models to improve their adaptivity and to deal with the tradeoff between discriminative ability and adaptivity. An object updating method is proposed to select the “good” models (detectors, which are quite discriminative and uncorrelated to other selected models. Meanwhile, we build the background model as a Gaussian mixture model (GMM to adapt to complex scenes, which is initialized offline and updated online. The proposed tracker is evaluated on a benchmark dataset of 50 video sequences with various challenges. It achieves the best overall performance among the compared state-of-the-art trackers, which demonstrates the effectiveness and robustness of our tracking algorithm.

  7. Beam Diagnostics Systems For The National Ignition Facility

    CERN Document Server

    Demaret, R D; Bliss, E S; Gates, A J; Severyn, J R

    2001-01-01

    The National Ignition Facility laser focuses 1.8 Mega-joules of ultraviolet light (wavelength 351 nano-meters) from 192 beams into a 600-micro-meter-diameter volume. Effective use of this output in target experiments requires that the power output from all the beams match within 8% over their entire 20-nanosecond waveform. The scope of NIF beam diagnostics systems necessary to accomplish this task is unprecedented for laser facilities. Each beam line contains 110 major optical components distributed over a 510 meter path, and diagnostic tolerances for beam measurement are demanding. Total laser pulse energy is measured with 2.8% precision, and the inter-beam temporal variation of pulse power is measured with 4% precision. These measurement goals are achieved through use of approximately 160 sensor packages that measure the energy at five locations and power at 3 locations along each beamline using 335 photodiodes, 215 calorimeters and 36 digitizers. Successful operation of such a system requires a high level ...

  8. Materials issues in diagnostic systems for BPX and ITER

    Energy Technology Data Exchange (ETDEWEB)

    Clinard, F.W. Jr.; Farnum, E.H. (Los Alamos National Lab., NM (United States)); Griscom, D.L. (Naval Research Lab., Washington, DC (United States)); Mattas, R.F. (Argonne National Lab., IL (United States)); Medley, S.S.; Young, K. M. (Princeton Univ., NJ (United States). Plasma Physics Lab.); Wiffen, F.W. (USDOE, Washington, DC (United States)); Wojtowicz, S.S. (General Atomics, San Diego, CA (Unit

    1991-01-01

    Diagnostic systems in advanced D-T-burning fusion devices will be subjected to intense fluxes and fluences of high-energy neutrons and gamma rays. Materials used in these systems may suffer significant degradation of structural, optical, and electrical properties, either promptly upon irradiation or after accumulation of structural damage. Of particular concern are windows, optical fibers, reflectors, and insulators. Many materials currently specified for these components are known to degrade under anticipated operating conditions. However, careful materials selection and modification based on an appropriate irradiation testing program, when combined with optimization of design-sensitive factors such as location, shielding, and ease of replacement, should help to alleviate these materials problems. 30 refs., 2 figs., 1 tab.

  9. Wearable diagnostic system for age-related macular degeneration.

    Science.gov (United States)

    Mohaghegh, N; Zadeh, E Ghafar; Magierowski, S

    2016-08-01

    This paper presents a novel head-mounted point-of-care diagnostic system for detection and continuous monitoring of Age-related Macular Degeneration (AMD). This wearable embedded open-source platform enables accurate monitoring of AMD by taking advantage of multiple standard graphical interface techniques such as Amsler Grid, Threshold Amsler Grid, Macular Computerized Psychophysical Test and Preferential Hyperacuity Perimeter (PHP). Here, we describe the proposed multi-Grid or so-called NGRID software and elaborate on the hardware prototype. This prototype includes a commercially available Oculus HMD incorporated with a single board computer. As the first step towards a fully integrated wearable system, this paper successfully proves the functionality of head-mounted graphical interface device ready for a live demonstration. Participants can experience this device and take a 10-minute AMD eye-exam. Furthermore, NGRID has been approved and permitted for an in-hospital clinical trial.

  10. Mach-Zehnder recording systems for pulsed power diagnostics

    Energy Technology Data Exchange (ETDEWEB)

    Miller, E. K.; Abbott, R. Q.; McKenna, I.; Macrum, G.; Baker, D.; Tran, V.; Rodriguez, E.; Kaufman, M. I.; Tibbits, A.; Silbernagel, C. T.; Waltman, T. B. [National Security Technologies, LLC, Santa Barbara and Livermore, California 93111 (United States); National Security Technologies, LLC, Los Alamos, New Mexico 87544 (United States); and National Security Technologies, LLC, North Las Vegas, Nevada 89193 (United States); Herrmann, H. W.; Kim, Y. H.; Mack, J. M.; Young, C. S.; Caldwell, S. E.; Evans, S. C.; Sedillo, T. J. [Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States); Stoeffl, W.; Grafil, E. [Lawrence Livermore National Laboratory, Livermore, California (United States); and others

    2012-10-15

    Fiber-optic transmission and recording systems, based on Mach-Zehnder modulators, have been developed and installed at the National Ignition Facility (NIF), and are being developed for other pulsed-power facilities such as the Z accelerator at Sandia, with different requirements. We present the design and performance characteristics for the mature analog links, based on the system developed for the Gamma Reaction History diagnostic at the OMEGA laser and at NIF. For a single detector channel, two Mach-Zehnders are used to provide high dynamic range at the full recording bandwidth with no gaps in the coverage. We present laboratory and shot data to estimate upper limits on the radiation effects as they impact recorded data quality. Finally, we will assess the technology readiness level for mature and developing implementations of Mach-Zehnder links for these environments.

  11. Mach-Zehnder recording systems for pulsed power diagnostics.

    Science.gov (United States)

    Miller, E K; Abbott, R Q; McKenna, I; Macrum, G; Baker, D; Tran, V; Rodriguez, E; Kaufman, M I; Tibbits, A; Silbernagel, C T; Waltman, T B; Herrmann, H W; Kim, Y H; Mack, J M; Young, C S; Caldwell, S E; Evans, S C; Sedillo, T J; Stoeffl, W; Grafil, E; Liebman, J; Beeman, B; Watts, P; Carpenter, A; Horsfied, C J; Rubery, M S; Chandler, G A; Torres, J A; Smelser, R M

    2012-10-01

    Fiber-optic transmission and recording systems, based on Mach-Zehnder modulators, have been developed and installed at the National Ignition Facility (NIF), and are being developed for other pulsed-power facilities such as the Z accelerator at Sandia, with different requirements. We present the design and performance characteristics for the mature analog links, based on the system developed for the Gamma Reaction History diagnostic at the OMEGA laser and at NIF. For a single detector channel, two Mach-Zehnders are used to provide high dynamic range at the full recording bandwidth with no gaps in the coverage. We present laboratory and shot data to estimate upper limits on the radiation effects as they impact recorded data quality. Finally, we will assess the technology readiness level for mature and developing implementations of Mach-Zehnder links for these environments.

  12. Mach-Zehnder Recording Systems for Pulsed Power Diagnostics

    Energy Technology Data Exchange (ETDEWEB)

    Miller, E K; McKenna, I; Macrum, G; Baker, D; Tran, V; Rodriguez, E; Kaufman, M I; Tibbits, A; Silbernagel, C T; Waltman, T B; Herrmann, H W; Kim, Y H; Mack, J M; Young, C S; Caldwell, S E; Evans, S C; Sedillo, T J; Stoeffl, W; Grafil, E; Liebman, J; Beeman, B; Watts, P; Carpenter, A; Horsfied, C J; Rubery, M S; Chandler, G A; Torres, J A

    2012-10-01

    Fiber-optic transmission and recording systems, based on Mach-Zehnder modulators, have been developed and installed at the National Ignition Facility (NIF), and are being developed for other pulsed-power facilities such as Z-R at Sandia, with different requirements. We present the design and performance characteristics for the mature analog links, based on the system developed for the Gamma Reaction History (GRH) diagnostic at OMEGA and NIF. For a single detector channel, two Mach-Zehnders are used to provide high dynamic range at the full recording bandwidth with no gaps in the coverage. We present laboratory and shot data to estimate upper limits on the radiation effects as they impact recorded data quality. Finally, we will assess the technology readiness level for mature and developing implementations of Mach-Zehnder links for these environments.

  13. Comparative guide to emerging diagnostic tools for large commercial HVAC systems

    Energy Technology Data Exchange (ETDEWEB)

    Friedman, Hannah; Piette, Mary Ann

    2001-05-01

    This guide compares emerging diagnostic software tools that aid detection and diagnosis of operational problems for large HVAC systems. We have evaluated six tools for use with energy management control system (EMCS) or other monitoring data. The diagnostic tools summarize relevant performance metrics, display plots for manual analysis, and perform automated diagnostic procedures. Our comparative analysis presents nine summary tables with supporting explanatory text and includes sample diagnostic screens for each tool.

  14. Using a failure modes, effects and diagnostic analysis (FMEDA) to measure diagnostic coverage in programmable electronic systems

    Energy Technology Data Exchange (ETDEWEB)

    Goble, W.M.; Brombacher, A.C

    1999-11-01

    One of the key issues in the quantitative evaluation of programmable electronic systems is the diagnostic capability of the equipment. This is measured by a parameter called the Coverage Factor, C. This factor can vary widely. The range of possible values is often the subject of great debate. Within limits, the diagnostic coverage factor can be calculated by knowing which component failure modes are detected by diagnostics. An extension of the Failure Modes and Effects Analysis (FMEA) can be used to show this information. This extension, called a Failure Modes, Effects and Diagnostic Analysis can serve as a useful design verification tool as well as a means to provide more precise input to reliability and safety modeling.

  15. System Modeling and Diagnostics for Liquefying-Fuel Hybrid Rockets

    Science.gov (United States)

    Poll, Scott; Iverson, David; Ou, Jeremy; Sanderfer, Dwight; Patterson-Hine, Ann

    2003-01-01

    A Hybrid Combustion Facility (HCF) was recently built at NASA Ames Research Center to study the combustion properties of a new fuel formulation that burns approximately three times faster than conventional hybrid fuels. Researchers at Ames working in the area of Integrated Vehicle Health Management recognized a good opportunity to apply IVHM techniques to a candidate technology for next generation launch systems. Five tools were selected to examine various IVHM techniques for the HCF. Three of the tools, TEAMS (Testability Engineering and Maintenance System), L2 (Livingstone2), and RODON, are model-based reasoning (or diagnostic) systems. Two other tools in this study, ICS (Interval Constraint Simulator) and IMS (Inductive Monitoring System) do not attempt to isolate the cause of the failure but may be used for fault detection. Models of varying scope and completeness were created, both qualitative and quantitative. In each of the models, the structure and behavior of the physical system are captured. In the qualitative models, the temporal aspects of the system behavior and the abstraction of sensor data are handled outside of the model and require the development of additional code. In the quantitative model, less extensive processing code is also necessary. Examples of fault diagnoses are given.

  16. Diagnostic Reasoning using Prognostic Information for Unmanned Aerial Systems

    Science.gov (United States)

    Schumann, Johann; Roychoudhury, Indranil; Kulkarni, Chetan

    2015-01-01

    With increasing popularity of unmanned aircraft, continuous monitoring of their systems, software, and health status is becoming more and more important to ensure safe, correct, and efficient operation and fulfillment of missions. The paper presents integration of prognosis models and prognostic information with the R2U2 (REALIZABLE, RESPONSIVE, and UNOBTRUSIVE Unit) monitoring and diagnosis framework. This integration makes available statistically reliable health information predictions of the future at a much earlier time to enable autonomous decision making. The prognostic information can be used in the R2U2 model to improve diagnostic accuracy and enable decisions to be made at the present time to deal with events in the future. This will be an advancement over the current state of the art, where temporal logic observers can only do such valuation at the end of the time interval. Usefulness and effectiveness of this integrated diagnostics and prognostics framework was demonstrated using simulation experiments with the NASA Dragon Eye electric unmanned aircraft.

  17. UAS-Systems Integration, Validation, and Diagnostics Simulation Capability

    Science.gov (United States)

    Buttrill, Catherine W.; Verstynen, Harry A.

    2014-01-01

    As part of the Phase 1 efforts of NASA's UAS-in-the-NAS Project a task was initiated to explore the merits of developing a system simulation capability for UAS to address airworthiness certification requirements. The core of the capability would be a software representation of an unmanned vehicle, including all of the relevant avionics and flight control system components. The specific system elements could be replaced with hardware representations to provide Hardware-in-the-Loop (HWITL) test and evaluation capability. The UAS Systems Integration and Validation Laboratory (UAS-SIVL) was created to provide a UAS-systems integration, validation, and diagnostics hardware-in-the-loop simulation capability. This paper discusses how SIVL provides a robust and flexible simulation framework that permits the study of failure modes, effects, propagation paths, criticality, and mitigation strategies to help develop safety, reliability, and design data that can assist with the development of certification standards, means of compliance, and design best practices for civil UAS.

  18. A new beam diagnostic system for the MASHA setup

    Science.gov (United States)

    Motycak, S.; Rodin, A. M.; Novoselov, A. S.; Podshibyakin, A. V.; Krupa, L.; Belozerov, A. V.; Vedeneyev, V. Yu.; Gulyaev, A. V.; Gulyaeva, A. V.; Kliman, J.; Salamatin, V. S.; Stepantsov, S. V.; Chernysheva, E. V.; Yuchimchuk, S. A.; Komarov, A. B.; Kamas, D.

    2016-09-01

    A new beam diagnostic system based on the PXI standard was developed, tested, and used in the MASHA setup experiment. The beam energy and beam current measurements were carried out using several methods. The online time-of-flight energy measurements were carried out using three pick-up detectors. We used two electronic systems to measure the time between the pick-ups. The first system was based on fast Agilent digitizers (2-channel, 4-GHz sampling rate), and the second one was based on a constant fraction discriminator (CFD) connected to a time-to-digital converter (TDC, 5-ps resolution). A new graphical interface to monitor the electronic devices and to perform the online calculations of energy was developed using MFC C++. The second system based on microchannel plate (time-of-flight) and silicon detectors for the determination of beam energy and the type of accelerated particles was also used. The beam current measurements were carried out with two different sensors. The first sensor is a rotating Faraday cup placed in front of the target, and the second one is an emission detector installed at the rear of the target. This system is now used in experiments for the synthesis of superheavy elements at the U400M cyclotron of the Flerov Laboratory of Nuclear Reactions (FLNR).

  19. A New Method of Embedded Fourth Order with Four Stages to Study Raster CNN Simulation

    Institute of Scientific and Technical Information of China (English)

    R. Ponalagusamy; S. Senthilkumar

    2009-01-01

    A new Runge-Kutta (PK) fourth order with four stages embedded method with error control is presented in this paper for raster simulation in cellular neural network (CNN) environment. Through versatile algorithm, single layer/raster CNN array is implemented by incorporating the proposed technique. Simulation results have been obtained, and comparison has also been carried out to show the efficiency of the proposed numerical integration algorithm. The analytic expressions for local truncation error and global truncation error are derived. It is seen that the RK-embedded root mean square outperforms the RK-embedded Heronian mean and RK-embedded harmonic mean.

  20. Analytical criteria for local activity of CNN with five state variables and application to Hyper-chaos synchronization Chua's circuit

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    The analytic criteria for the local activity theory in one-port cellular neural network (CNN) with five local state variables are presented. The application to a Hyper-chaos synchronization Chua's circuit (HCSCC) CNN with 1125 variables is studied. The bifurcation diagrams of the HCSCC CNN show that they are slightly different from the smoothed CNN with one or two ports and four state variables calculated earlier. The evolution of the patterns of the state variables of the HCSCC CNN is stimulated. Oscillatory patterns, chaotic patterns, convergent or divergent patterns may emerge if the selected cell parameters are located in the locally active domains but nearby or in the edge of chaos domain.

  1. Central nervous system tumors: Radiologic pathologic correlation and diagnostic approach

    Directory of Open Access Journals (Sweden)

    Ishita Pant

    2015-01-01

    Full Text Available Objective: This study was conducted to formulate location-wise radiologic diagnostic algorithms and assess their concordance with the final histopathological diagnosis so as to evaluate their utility in a rural setting where only basic facilities are available. Materials and Methods: A retrospective analysis to assess the concordance of radiology (primarily MRI with final histopathology report was done. Based on the most common incidence of tumor location and basic radiology findings, diagnostic algorithms were prepared. Results: For supratentorial intraaxial parenchymal location concordance was seen in all high-grade astrocytomas, low- and high-grade oligodendrogliomas, metastatic tumors, primitive neuroectodermal tumors, high-grade ependymomas, neuronal and mixed neuro-glial tumors and tumors of hematopoietic system. Lowest concordance was seen in low-grade astrocytomas. In the supratentorial intraaxial ventricular location, agreement was observed in choroid plexus tumors, ependymomas, low-grade astrocytomas and meningiomas; in the supratentorial extraaxial location, except for the lack of concordance in the only case of metastatic tumor, concordance was observed in meningeal tumors, tumors of the sellar region, tumors of cranial and paraspinal nerves; the infratentorial intraaxial parenchymal location showed agreement in low- as well as high-grade astrocytomas, metastatic tumors, high-grade ependymoma, embryonal tumors and hematopoietic tumors; in the infratentorial intraaxial ventricular location, except for the lack of concordance in one case of low-grade astrocytoma and two cases of medulloblastomas, agreement was observed in low- and high-grade ependymoma; infratentorial extraaxial tumors showed complete agreement in all tumors of cranial and paraspinal nerves, meningiomas, and hematopoietic tumors. Conclusion: A location-based approach to central nervous system (CNS tumors is helpful in establishing an appropriate differential diagnosis.

  2. High frequency system project implementation plan. [Diagnostic recording system for Nevada Test Site

    Energy Technology Data Exchange (ETDEWEB)

    Moon, L. L.

    1976-03-12

    The High Frequency System is a new mobile, digital diagnostic recording system for use at the Nevada Test Site. Many different kinds of event data will be digitized in real-time by this system, and these data will be recorded and stored for later read-out and transmission to NADCEN. The hardware and software requirements of the High Frequency System are examined, and the parameters of the system are proposed.

  3. Diagnostics and testing of high voltage cable systems

    Energy Technology Data Exchange (ETDEWEB)

    Hyvoenen, P.; Oyegoke, B.; Aro, M.

    2003-07-01

    Reliability demands on electricity generation and distribution are increasing. Power utilities have faced new challenges due to liberalisation of electricity markets, increasing authors regulation and new claims for compensation of unexpected power shut downs. As a result power utilities have to concentrate more on asset management to reduce costs, to postpone investments, to optimise technical management keeping at the same time reliability and power quality at high level. Nowadays it is important to do right things at right place at right time. Maintenance strategy is changing from predictive or repairing maintenance to the condition based maintenance (CBM). Success of CBM depends partly on how good and reliable tools are available to determine condition of electrical apparatus. Cables have been used in electricity distribution since beginning of 20th century. Oldest still in use cables in Finland has been installed late 1940's. Nowadays almost all new distribution systems in urban areas are done using cables. Wide variety of cables are in use. Knowledge of condition and history of cables is not so well documented. Professional skill to install cable systems is disappearing due to outsourcing of maintenance groups. There is a worry about increasing amount of after installation faults due to loosing of professional skills to install cable systems. Wide variety of cable insulation systems and large variety in ages of cables still in use will place hard challenges for cable condition assessment. Earlier studies showed that measurement of insulation resistance is almost only diagnostic measurement performed to cable systems. Knowledge and experience of new diagnostic method is not so widely distributed. Based on previous project, dielectric response (DR) measurement and partial discharge (PD) measurement seemed to be most promising tools for the condition assessment of cable systems. Increased moisture content in oil-paper insulated cable or water trees in

  4. Acoustic imaging for diagnostics of chemically reacting systems

    Science.gov (United States)

    Ramohalli, K.; Seshan, P.

    1983-01-01

    The concept of local diagnostics, in chemically reacting systems, with acoustic imaging is developed. The elements of acoustic imaging through ellipsoidal mirrors are theoretically discussed. In a general plan of the experimental program, the first system is chosen in these studies to be a simple open jet, non premixed turbulent flame. Methane is the fuel and enriched air is the oxidizer. This simple chemically reacting flow system is established at a Reynolds number (based on cold viscosity) of 50,000. A 1.5 m diameter high resolution acoustic mirror with an f-number of 0.75 is used to map the acoustic source zone along the axis of the flame. The results are presented as acoustic power spectra at various distances from the nozzle exit. It is seen that most of the reaction intensity is localized in a zone within 8 diameters from the exit. The bulk reactions (possibly around the periphery of the larger eddies) are evenly distributed along the length of the flame. Possibilities are seen for locally diagnosing single zones in a multiple cluster of reaction zones that occur frequently in practice. A brief outline is given of the future of this work which will be to apply this technique to chemically reacting flows not limited to combustion.

  5. Optical Design of ECEI Diagnostic System for HT-7 Tokamak

    Institute of Scientific and Technical Information of China (English)

    Wang Jun(王俊); Wen Yizhi(闻一之); Yu Changxuan(俞昌旋); Wan Baonian(万宝年); N.C. Luhmann; Wang Jian; Xia Z. G.

    2004-01-01

    Electron cyclotron emission imaging system in the frequency range of 95 GHz ~125 GHz is going to be constructed for a two-dimensional diagnosis of the electron temperature profiles and fluctuations on the HT-7 Tokamak. The optical design for the ECEI diagnostic system is completed. Because of the superconducting technology used in HT-7, the vacuum chamber is rather thick (630 mm), the height of the horizontal windows is limited (maximum 450 mm), which constrains greatly the ECE imaging Gaussian beam that passing through the windows. We here comes to make a design compromise between the number of the beams that can pass through the windows and the spatial resolution (around 1.1 cm). We also find that due to the field curvature of the optical system, the gaussian beams of edge channels are always overlapped. To flatten the field curvature, it is needed to insert a concave made of a material with a low refractive index (compared with the one used in the convex). But the suitable material has not been available so far, therefore the deterioration of the resolution in some channels (e.g. the edge channels) is acceptable.

  6. The analysis of diagnostics possibilities of the Dual- Drive electric power steering system using diagnostics scanner and computer method

    Science.gov (United States)

    Szczypiński-Sala, W.; Dobaj, K.

    2016-09-01

    The article presents the analysis of diagnostics possibilities of electric power steering system using computer diagnostics scanner. Several testing attempts were performed. There were analyzed the changes of torque moment exerted on steering wheel by the driver and the changes of the angle of rotation steering wheel accompanying them. The tests were conducted in variable conditions comprising wheel load and the friction coefficient of tyre road interaction. Obtained results enabled the analysis of the influence of changeable operations conditions, possible to acquire in diagnostics scanners of chosen parameters of electric power steering system. Moreover, simulation model of operation, electric drive power steering system with the use of the Matlab simulation software was created. The results of the measurements obtained in road conditions served to verify this model. Subsequently, model response to inputs change of the device was analyzed and its reaction to various constructional and exploitative parameters was checked. The entirety of conducted work constitutes a step to create a diagnostic monitor possible to use in self-diagnosis of electric power steering system.

  7. Smart Structures and Intelligent Systems for Health Monitoring and Diagnostics

    Directory of Open Access Journals (Sweden)

    M. A. El-Sherif

    2005-01-01

    Full Text Available “Smart and intelligent” structures are defined as structures capable of monitoring their own “health” condition and structural behavior, such structures are capable of sensing external environmental conditions, making decisions, and sending the information to other locations. Available conventional devices and systems are not technologically mature for such applications. New classes of miniature devices and networking systems are urgently needed for such applications. In this paper, two examples of the successful work achieved so far, in biomedical application of smart structures, are presented. The first one is based on the development of a smart bone fixation device for rehabilitation and treatment. This device includes a smart composite bar that can sense physical stress applied to the fractured bones, and send the information to the patient's physician remotely. The second is on the development of smart fabrics for many applications including health monitoring and diagnostics. Successful development of such smart fabrics with embedded fiber optic sensors and networks is mainly dependent on the development of the proper miniature sensor technology, and on the integration of these sensors into textile structures. The developed smart structures will be discussed and samples of the results will be presented.

  8. The LEP RF Trip and Beam Loss Diagnostics System

    CERN Document Server

    Arnaudon, L; Beetham, G; Ciapala, Edmond; Juillard, J C; Olsen, R

    2002-01-01

    During the last years of operation the number of operationally independent RF stations distributed around LEP reached a total of 40. A serious difficulty when running at high energy and high beam intensities was to establish cause and effect in beam loss situations, where the trip of any single RF station would result in beam loss, rapidly producing further multiple RF station trips. For the last year of operation a fast post-mortem diagnostics system was developed to allow precise time-stamping of RF unit trips and beam intensity changes. The system was based on eight local DSP controlled fast acquisition and event recording units, one in each RF sector, connected to critical RF control signals and fast beam intensity monitors and synchronised by GPS. The acquisition units were armed and synchronised at the start of each fill. At the end of the fill the local time-stamped RF trip and beam intensity change history tables were recovered, events ordered and the results stored in a database for subsequent analys...

  9. Visual Cortex Inspired CNN Model for Feature Construction in Text Analysis

    Science.gov (United States)

    Fu, Hongping; Niu, Zhendong; Zhang, Chunxia; Ma, Jing; Chen, Jie

    2016-01-01

    Recently, biologically inspired models are gradually proposed to solve the problem in text analysis. Convolutional neural networks (CNN) are hierarchical artificial neural networks, which include a various of multilayer perceptrons. According to biological research, CNN can be improved by bringing in the attention modulation and memory processing of primate visual cortex. In this paper, we employ the above properties of primate visual cortex to improve CNN and propose a biological-mechanism-driven-feature-construction based answer recommendation method (BMFC-ARM), which is used to recommend the best answer for the corresponding given questions in community question answering. BMFC-ARM is an improved CNN with four channels respectively representing questions, answers, asker information and answerer information, and mainly contains two stages: biological mechanism driven feature construction (BMFC) and answer ranking. BMFC imitates the attention modulation property by introducing the asker information and answerer information of given questions and the similarity between them, and imitates the memory processing property through bringing in the user reputation information for answerers. Then the feature vector for answer ranking is constructed by fusing the asker-answerer similarities, answerer's reputation and the corresponding vectors of question, answer, asker, and answerer. Finally, the Softmax is used at the stage of answer ranking to get best answers by the feature vector. The experimental results of answer recommendation on the Stackexchange dataset show that BMFC-ARM exhibits better performance. PMID:27471460

  10. Visual cortex inspired CNN model for feature construction in text analysis

    Directory of Open Access Journals (Sweden)

    Hongping Fu

    2016-07-01

    Full Text Available Recently, biologically inspired models are gradually proposed to solve the problem in text analysis. Convolutional neural networks (CNN are hierarchical artificial neural networks, which include a various of multilayer perceptrons. According to biological research, CNN can be improved by bringing in the attention modulation and memory processing of primate visual cortex. In this paper, we employ the above properties of primate visual cortex to improve CNN and propose a biological-mechanism-driven-feature-construction based answer recommendation method (BMFC-ARM, which is used to recommend the best answer for the corresponding given questions in community question answering. BMFC-ARM is an improved CNN with four channels respectively representing questions, answers, asker information and answerer information, and mainly contains two stages: biological mechanism driven feature construction (BMFC and answer ranking. BMFC imitates the attention modulation property by introducing the asker information and answerer information of given questions and the similarity between them, and imitates the memory processing property through bringing in the user reputation information for answerers. Then the feature vector for answer ranking is constructed by fusing the asker-answerer similarities, answerer's reputation and the corresponding vectors of question, answer, asker and answerer. Finally, the Softmax is used at the stage of answer ranking to get best answers by the feature vector. The experimental results of answer recommendation on the Stackexchange dataset show that BMFC-ARM exhibits better performance.

  11. Simulating Some Complex Phenomena in Hydrothermal Ore-Forming Processes by Reaction-Diffusion CNN

    Institute of Scientific and Technical Information of China (English)

    Xu Deyi; Yu Chongwen; Bao Zhengyu

    2003-01-01

    Complexity phenomena like dynamic and static patterns, order from disorder, chaos and catastrophe were simulated by the application of 2-D reaction-diffusion CNN of two state variables and two diffusion coefficients transformed from Zhabotinksii model. They revealed somehow the mechanism of hydrothermal ore-forming processes, and answered several questions about the onset of ore forming.

  12. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

    Science.gov (United States)

    Zhang, Kai; Zuo, Wangmeng; Chen, Yunjin; Meng, Deyu; Zhang, Lei

    2017-07-01

    Discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance. In this paper, we take one step forward by investigating the construction of feed-forward denoising convolutional neural networks (DnCNNs) to embrace the progress in very deep architecture, learning algorithm, and regularization method into image denoising. Specifically, residual learning and batch normalization are utilized to speed up the training process as well as boost the denoising performance. Different from the existing discriminative denoising models which usually train a specific model for additive white Gaussian noise (AWGN) at a certain noise level, our DnCNN model is able to handle Gaussian denoising with unknown noise level (i.e., blind Gaussian denoising). With the residual learning strategy, DnCNN implicitly removes the latent clean image in the hidden layers. This property motivates us to train a single DnCNN model to tackle with several general image denoising tasks such as Gaussian denoising, single image super-resolution and JPEG image deblocking. Our extensive experiments demonstrate that our DnCNN model can not only exhibit high effectiveness in several general image denoising tasks, but also be efficiently implemented by benefiting from GPU computing.

  13. Diagnostic for Plasma Enhanced Chemical Vapor Deposition and Etch Systems

    Science.gov (United States)

    Cappelli, Mark A.

    1999-01-01

    In order to meet NASA's requirements for the rapid development and validation of future generation electronic devices as well as associated materials and processes, enabling technologies ion the processing of semiconductor materials arising from understanding etch chemistries are being developed through a research collaboration between Stanford University and NASA-Ames Research Center, Although a great deal of laboratory-scale research has been performed on many of materials processing plasmas, little is known about the gas-phase and surface chemical reactions that are critical in many etch and deposition processes, and how these reactions are influenced by the variation in operating conditions. In addition, many plasma-based processes suffer from stability and reliability problems leading to a compromise in performance and a potentially increased cost for the semiconductor manufacturing industry. Such a lack of understanding has hindered the development of process models that can aid in the scaling and improvement of plasma etch and deposition systems. The research described involves the study of plasmas used in semiconductor processes. An inductively coupled plasma (ICP) source in place of the standard upper electrode assembly of the Gaseous Electronics Conference (GEC) radio-frequency (RF) Reference Cell is used to investigate the discharge characteristics and chemistries. This ICP source generates plasmas with higher electron densities (approximately 10(exp 12)/cu cm) and lower operating pressures (approximately 7 mTorr) than obtainable with the original parallel-plate version of the GEC Cell. This expanded operating regime is more relevant to new generations of industrial plasma systems being used by the microelectronics industry. The motivation for this study is to develop an understanding of the physical phenomena involved in plasma processing and to measure much needed fundamental parameters, such as gas-phase and surface reaction rates. species

  14. Evolving a Diagnostic Assessment System for Formative Use by Senior School System Executives in the USA.

    Science.gov (United States)

    Carter, D. S. G.; And Others

    1991-01-01

    Describes the Diagnostic Executive Competency Analysis System (DECAS) developed by researchers at the University of Texas (Austin). Applies assessment center methods conventionally used for selection and screening purposes to formative needs-based professional development activities. Presents DECAS within the framework of the U.S. Multi-Site…

  15. Model-based Diagnostics for Propellant Loading Systems

    Data.gov (United States)

    National Aeronautics and Space Administration — The loading of spacecraft propellants is a complex, risky operation. Therefore, diagnostic solutions are neces- sary to quickly identify when a fault occurs, so that...

  16. Aircraft Electrical Power System Diagnostics and Health Management Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The objective of the project is the development of an open architecture, computational toolbox for design and implementation of diagnostic and prognostic algorithms...

  17. Development of a Diagnostic and Remedial Learning System Based on an Enhanced Concept--Effect Model

    Science.gov (United States)

    Panjaburees, Patcharin; Triampo, Wannapong; Hwang, Gwo-Jen; Chuedoung, Meechoke; Triampo, Darapond

    2013-01-01

    With the rapid advances in computer technology during recent years, researchers have demonstrated the pivotal influences of computer-assisted diagnostic systems on student learning performance improvement. This research aims to develop a Diagnostic and Remedial Learning System (DRLS) for an algebra course in a Thai lower secondary school context…

  18. Combining high-speed SVM learning with CNN feature encoding for real-time target recognition in high-definition video for ISR missions

    Science.gov (United States)

    Kroll, Christine; von der Werth, Monika; Leuck, Holger; Stahl, Christoph; Schertler, Klaus

    2017-05-01

    For Intelligence, Surveillance, Reconnaissance (ISR) missions of manned and unmanned air systems typical electrooptical payloads provide high-definition video data which has to be exploited with respect to relevant ground targets in real-time by automatic/assisted target recognition software. Airbus Defence and Space is developing required technologies for real-time sensor exploitation since years and has combined the latest advances of Deep Convolutional Neural Networks (CNN) with a proprietary high-speed Support Vector Machine (SVM) learning method into a powerful object recognition system with impressive results on relevant high-definition video scenes compared to conventional target recognition approaches. This paper describes the principal requirements for real-time target recognition in high-definition video for ISR missions and the Airbus approach of combining an invariant feature extraction using pre-trained CNNs and the high-speed training and classification ability of a novel frequency-domain SVM training method. The frequency-domain approach allows for a highly optimized implementation for General Purpose Computation on a Graphics Processing Unit (GPGPU) and also an efficient training of large training samples. The selected CNN which is pre-trained only once on domain-extrinsic data reveals a highly invariant feature extraction. This allows for a significantly reduced adaptation and training of the target recognition method for new target classes and mission scenarios. A comprehensive training and test dataset was defined and prepared using relevant high-definition airborne video sequences. The assessment concept is explained and performance results are given using the established precision-recall diagrams, average precision and runtime figures on representative test data. A comparison to legacy target recognition approaches shows the impressive performance increase by the proposed CNN+SVM machine-learning approach and the capability of real-time high

  19. Mental Disorder Diagnostic System Based on Logical-Combinatorial Methods of Pattern Recognition

    Directory of Open Access Journals (Sweden)

    Anna Yankovskaya

    2013-11-01

    Full Text Available The authors describe mental disorder diagnostic system based on logical-combinatorial methods of pattern recognition called as the intelligent system DIAPROD-LOG. The system is designed for diagnostics and prevention of depression. The mathematical apparatus for creation of the proposed system based on a matrix model of data and knowledge representation, as well as various kinds of regularities in data and knowledge are presented. The description of the system is given.

  20. Electron beam diagnostic system using computed tomography and an annular sensor

    Science.gov (United States)

    Elmer, John W.; Teruya, Alan T.

    2014-07-29

    A system for analyzing an electron beam including a circular electron beam diagnostic sensor adapted to receive the electron beam, the circular electron beam diagnostic sensor having a central axis; an annular sensor structure operatively connected to the circular electron beam diagnostic sensor, wherein the sensor structure receives the electron beam; a system for sweeping the electron beam radially outward from the central axis of the circular electron beam diagnostic sensor to the annular sensor structure wherein the electron beam is intercepted by the annular sensor structure; and a device for measuring the electron beam that is intercepted by the annular sensor structure.

  1. Laboratory diagnostic methods, system of quality and validation

    Directory of Open Access Journals (Sweden)

    Ašanin Ružica

    2005-01-01

    Full Text Available It is known that laboratory investigations secure safe and reliable results that provide a final confirmation of the quality of work. Ideas, planning, knowledge, skills, experience, and environment, along with good laboratory practice, quality control and reliability of quality, make the area of biological investigations very complex. In recent years, quality control, including the control of work in the laboratory, is based on international standards and is used at that level. The implementation of widely recognized international standards, such as the International Standard ISO/IEC 17025 (1 and the implementing of the quality system series ISO/IEC 9000 (2 have become the imperative on the grounds of which laboratories have a formal, visible and corresponding system of quality. The diagnostic methods that are used must constantly yield results which identify the animal as positive or negative, and the precise status of the animal is determined with a predefined degree of statistical significance. Methods applied on a selected population reduce the risk of obtaining falsely positive or falsely negative results. A condition for this are well conceived and documented methods, with the application of the corresponding reagents, and work with professional and skilled staff. This process requires also a consistent implementation of the most rigorous experimental plans, epidemiological and statistical data and estimations, with constant monitoring of the validity of the applied methods. Such an approach is necessary in order to cut down the number of misconceptions and accidental mistakes, for a referent population of animals on which the validity of a method is tested. Once a valid method is included in daily routine investigations, it is necessary to apply constant monitoring for the purpose of internal quality control, in order adequately to evaluate its reproducibility and reliability. Consequently, it is necessary at least twice yearly to conduct

  2. First Steps Toward Incorporating Image Based Diagnostics Into Particle Accelerator Control Systems Using Convolutional Neural Networks

    OpenAIRE

    Edelen, A. L.; Biedron, S. G.; Milton, S. V.; Edelen, J. P.

    2016-01-01

    At present, a variety of image-based diagnostics are used in particle accelerator systems. Often times, these are viewed by a human operator who then makes appropriate adjustments to the machine. Given recent advances in using convolutional neural networks (CNNs) for image processing, it should be possible to use image diagnostics directly in control routines (NN-based or otherwise). This is especially appealing for non-intercepting diagnostics that could run continuously during beam operatio...

  3. BASIC REQUIREMENTS AND PRINCIPLES OF CREATION ONBOARD DIAGNOSTIC SYSTEMS OF LOCOMOTIVES

    Directory of Open Access Journals (Sweden)

    YE. B. Bodnar

    2014-01-01

    Full Text Available Purpose. Justification of the basic principles of construction on-board diagnostic systems locomotive and choose from high-performance and reliable interface for the exchange of information on-board diagnostic systems. Methodology. Problem of getting correct and adequate information about the technical state of the technical object is solved with the use and compliance of the fundamental principles of modern computers. Findings. High-performance and reliable interface to exchange messages between different units of management systems and on-board diagnostic systems was selected. Properties which are required high data rate, high reliability and low error rate of information transfer. Originality. The main principles of building on-board diagnostic systems which ensure compliance locomotives accumulation of accurate and adequate information about the technical condition which is necessary to organize its maintenance and repair were formulated. Practical value. Diagnostic equipment designed with use of requirements set forth above and principles will affect the technical condition of the engine, increasing the likelihood of uptime, productivity and locomotive repair teams. The introduction of on-board diagnostic systems and stationary locomotives will significantly improve the system and optimize their maintenance costs of maintenance and repairs. Besides, information about diagnostic parameters changing accumulated with the aim of airborne systems will be used in order to create mathematical models that, in turn, will organize a system of maintenance and predict the technical condition of locomotives

  4. Towards intelligent diagnostic system employing integration of mathematical and engineering model

    Science.gov (United States)

    Isa, Nor Ashidi Mat

    2015-05-01

    The development of medical diagnostic system has been one of the main research fields during years. The goal of the medical diagnostic system is to place a nosological system that could ease the diagnostic evaluation normally performed by scientists and doctors. Efficient diagnostic evaluation is essentials and requires broad knowledge in order to improve conventional diagnostic system. Several approaches on developing the medical diagnostic system have been designed and tested since the earliest 60s. Attempts on improving their performance have been made which utilizes the fields of artificial intelligence, statistical analyses, mathematical model and engineering theories. With the availability of the microcomputer and software development as well as the promising aforementioned fields, medical diagnostic prototypes could be developed. In general, the medical diagnostic system consists of several stages, namely the 1) data acquisition, 2) feature extraction, 3) feature selection, and 4) classifications stages. Data acquisition stage plays an important role in converting the inputs measured from the real world physical conditions to the digital numeric values that can be manipulated by the computer system. One of the common medical inputs could be medical microscopic images, radiographic images, magnetic resonance image (MRI) as well as medical signals such as electrocardiogram (ECG) and electroencephalogram (EEG). Normally, the scientist or doctors have to deal with myriad of data and redundant to be processed. In order to reduce the complexity of the diagnosis process, only the significant features of the raw data such as peak value of the ECG signal or size of lesion in the mammogram images will be extracted and considered in the subsequent stages. Mathematical models and statistical analyses will be performed to select the most significant features to be classified. The statistical analyses such as principal component analysis and discriminant analysis as well

  5. Towards intelligent diagnostic system employing integration of mathematical and engineering model

    Energy Technology Data Exchange (ETDEWEB)

    Isa, Nor Ashidi Mat [Imaging and Intelligent System Research Team (ISRT), School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang (Malaysia)

    2015-05-15

    The development of medical diagnostic system has been one of the main research fields during years. The goal of the medical diagnostic system is to place a nosological system that could ease the diagnostic evaluation normally performed by scientists and doctors. Efficient diagnostic evaluation is essentials and requires broad knowledge in order to improve conventional diagnostic system. Several approaches on developing the medical diagnostic system have been designed and tested since the earliest 60s. Attempts on improving their performance have been made which utilizes the fields of artificial intelligence, statistical analyses, mathematical model and engineering theories. With the availability of the microcomputer and software development as well as the promising aforementioned fields, medical diagnostic prototypes could be developed. In general, the medical diagnostic system consists of several stages, namely the 1) data acquisition, 2) feature extraction, 3) feature selection, and 4) classifications stages. Data acquisition stage plays an important role in converting the inputs measured from the real world physical conditions to the digital numeric values that can be manipulated by the computer system. One of the common medical inputs could be medical microscopic images, radiographic images, magnetic resonance image (MRI) as well as medical signals such as electrocardiogram (ECG) and electroencephalogram (EEG). Normally, the scientist or doctors have to deal with myriad of data and redundant to be processed. In order to reduce the complexity of the diagnosis process, only the significant features of the raw data such as peak value of the ECG signal or size of lesion in the mammogram images will be extracted and considered in the subsequent stages. Mathematical models and statistical analyses will be performed to select the most significant features to be classified. The statistical analyses such as principal component analysis and discriminant analysis as well

  6. Sensorless PV Array Diagnostic Method for Residential PV Systems

    DEFF Research Database (Denmark)

    Sera, Dezso; Spataru, Sergiu; Mathe, Laszlo

    2011-01-01

    This work proposes a temperature and irradiance sensorless diagnostic method suitable for small residential PV installations, focusing on detection of partial shadows. The method works by detection of failures in crystalline silicone PV arrays by concomitant monitoring of some of their key parame...

  7. Teacher's Psycho-Diagnostic Activities in School Educational System

    Science.gov (United States)

    Minakhmetova, Albina Z.; Pyanova, Ekaterina N.; Akhmetshina, Enze M.

    2016-01-01

    The urgency of the problem stated in the article stems from the fact that in modern conditions the study of the psycho-diagnostic component of the teacher's activities is relevant in practical terms, since the functions of these activities affect the efficiency of pedagogical activity and the educational process itself, including the effectiveness…

  8. Development of instrumentation and control systems for the ITER diagnostic systems in JADA

    Energy Technology Data Exchange (ETDEWEB)

    Yamamoto, Tsuyoshi, E-mail: yamamoto.tsuyoshi@jaea.go.jp [Japan Atomic Energy Agency, Naka-shi, Ibaraki (Japan); Hashimoto, Yasunori [Japan Expert Clone Corporation, Shinjuku-ku, Tokyo (Japan); Kitazawa, Sin-iti; Yatsuka, Eiichi; Hatae, Takaki; Sugie, Tatsuo; Ogawa, Hiroaki; Takeuchi, Masaki; Kawano, Yasunori; Itami, Kiyoshi [Japan Atomic Energy Agency, Naka-shi, Ibaraki (Japan)

    2015-10-15

    Highlights: • JADA developed a prototype I&C system for ITER divertor thermocouples. • Conversion tool from SFC flowchart to EPICS record source codes was developed. • Python-base sequence control management function was developed. - Abstract: Japan Domestic Agency (JADA) is responsible for six diagnostic systems in the ITER project. We have successfully developed a prototype instrumentation and control (I&C) system for the ITER divertor thermocouples system. The prototype I&C system includes a supervisory function, a sequencing management function, and a data acquisition function. The supervisory function, which was implemented using EPICS (Experimental Physics and Industrial Control System), manages internal operations for measurement such as health check of sensors. We developed a conversion tool from flowcharts to EPICS record source codes. The EPICS records generated by the conversion tool are used to trigger each operation step and to indicate the progress of the sequence. We also developed the sequencing management function that coordinates the execution of operation steps. Both the flowchart conversion tool and sequencing management function were developed to reduce designers’ mistakes and to ensure rapid development. The prototype I&C system for the DTC was tested. We confirmed that the I&C system performed satisfying the requirements. This validated design will be applied to other ITER diagnostic systems procured by JADA.

  9. A ROUGH SET DECISION TREE BASED MLP-CNN FOR VERY HIGH RESOLUTION REMOTELY SENSED IMAGE CLASSIFICATION

    Directory of Open Access Journals (Sweden)

    C. Zhang

    2017-09-01

    Full Text Available Recent advances in remote sensing have witnessed a great amount of very high resolution (VHR images acquired at sub-metre spatial resolution. These VHR remotely sensed data has post enormous challenges in processing, analysing and classifying them effectively due to the high spatial complexity and heterogeneity. Although many computer-aid classification methods that based on machine learning approaches have been developed over the past decades, most of them are developed toward pixel level spectral differentiation, e.g. Multi-Layer Perceptron (MLP, which are unable to exploit abundant spatial details within VHR images. This paper introduced a rough set model as a general framework to objectively characterize the uncertainty in CNN classification results, and further partition them into correctness and incorrectness on the map. The correct classification regions of CNN were trusted and maintained, whereas the misclassification areas were reclassified using a decision tree with both CNN and MLP. The effectiveness of the proposed rough set decision tree based MLP-CNN was tested using an urban area at Bournemouth, United Kingdom. The MLP-CNN, well capturing the complementarity between CNN and MLP through the rough set based decision tree, achieved the best classification performance both visually and numerically. Therefore, this research paves the way to achieve fully automatic and effective VHR image classification.

  10. Development and Integration of a Data Acquisition System for SST-1 Phase-1 Plasma Diagnostics

    Institute of Scientific and Technical Information of China (English)

    Amit K SRIVASTAVA; Manika SHARMA; Imran MANSURI; Atish SHARMA; Tushar RAVAL; Subrata PRADHAN

    2012-01-01

    Long pulse (of the order of 1000 s or more) SST-1 tokamak experiments demand a data acquisition system that is capable of acquiring data from various diagnostics channels without losing useful data (and hence physics information) while avoiding unnecessary generation of a large volume data. SST-1 Phase-1 tokamak operation has been envisaged with data acquisition of several essential diagnostics channels. These channels demand data acquisition at a sampling rate ranging from 1 kilo samples per second (KSPS) to 1 mega samples per second (MSPS). Considering the technical characteristics and requirements of the diagnostics, a data acquisition system based on PXI and CAMAC has been developed for SST-1 plasma diagnostics. Both these data acquisition systems are scalable. Present data acquisition needs involving slow plasma diagnostics are catered by the PXI based data acquisition system. On the other hand, CAMAC data acquisition hardware meets all requirements of the SST-1 Phase-1 fast plasma diagnostics channels. A graphical user interface for both data acquisition systems (PXI and CAMAC) has been developed using LabVIEW application development software. The collected data on the local hard disk are directly streaming to the central server through a dedicated network for post-shot data analysis. This paper describes the development and integration of the data acquisition system for SST-1 Phase-1 plasma diagnostics. The integrated testing of the developed data acquisition system has been performed using SST-1 central control and diagnostics signal conditioning units. In the absence of plasma shots, the integrated testing of the data acquisition system for the initial diagnostics of SST-1 Phase-1 operation has been performed with simulated physical signals. The primary engineering objective of this integrated testing is to validate the performance of the developed data acquisition system under simulated conditions close to that of actual tokamak operation. The data

  11. Robustness Design for CNN Templates with Performance of Extracting Closed Domain

    Institute of Scientific and Technical Information of China (English)

    LI Wei-Dong; MIN Le-Quan

    2006-01-01

    The cellular neural/nonlinear network (CNN) is a powerful tool for image and video signal processing,robotic and biological visions. This paper introduces a kind of CNNs with performance of extracting closed domains in binary images, and gives a general method for designing templates of such a kind of CNNs. One theorem provides parameter inequalities for determining parameter intervals for implementing prescribed image processing functions,respectively. Examples for extracting closed domains in binary scale images are given.

  12. CNN intelligent early warning for apple skin lesion image acquired by infrared video sensors

    Institute of Scientific and Technical Information of China (English)

    谭文学

    2016-01-01

    Video sensors and agricultural IoT ( internet of things) have been widely used in the informa-tionalized orchards.In order to realize intelligent-unattended early warning for disease-pest, this pa-per presents convolutional neural network ( CNN) early warning for apple skin lesion image, which is real-time acquired by infrared video sensor.More specifically, as to skin lesion image, a suite of processing methods is devised to simulate the disturbance of variable orientation and light condition which occurs in orchards.It designs a method to recognize apple pathologic images based on CNN, and formulates a self-adaptive momentum rule to update CNN parameters.For example, a series of experiments are carried out on the recognition of fruit lesion image of apple trees for early warning. The results demonstrate that compared with the shallow learning algorithms and other involved, well-known deep learning methods, the recognition accuracy of the proposal is up to 96.08%, with a fairly quick convergence, and it also presents satisfying smoothness and stableness after conver-gence.In addition, statistics on different benchmark datasets prove that it is fairly effective to other image patterns concerned.

  13. Strategies for adding adaptive learning mechanisms to rule-based diagnostic expert systems

    Science.gov (United States)

    Stclair, D. C.; Sabharwal, C. L.; Bond, W. E.; Hacke, Keith

    1988-01-01

    Rule-based diagnostic expert systems can be used to perform many of the diagnostic chores necessary in today's complex space systems. These expert systems typically take a set of symptoms as input and produce diagnostic advice as output. The primary objective of such expert systems is to provide accurate and comprehensive advice which can be used to help return the space system in question to nominal operation. The development and maintenance of diagnostic expert systems is time and labor intensive since the services of both knowledge engineer(s) and domain expert(s) are required. The use of adaptive learning mechanisms to increment evaluate and refine rules promises to reduce both time and labor costs associated with such systems. This paper describes the basic adaptive learning mechanisms of strengthening, weakening, generalization, discrimination, and discovery. Next basic strategies are discussed for adding these learning mechanisms to rule-based diagnostic expert systems. These strategies support the incremental evaluation and refinement of rules in the knowledge base by comparing the set of advice given by the expert system (A) with the correct diagnosis (C). Techniques are described for selecting those rules in the in the knowledge base which should participate in adaptive learning. The strategies presented may be used with a wide variety of learning algorithms. Further, these strategies are applicable to a large number of rule-based diagnostic expert systems. They may be used to provide either immediate or deferred updating of the knowledge base.

  14. Experience with current multiaxial diagnostic systems: a critical review.

    Science.gov (United States)

    Kastrup, Marianne

    2002-01-01

    It is difficult to capture the complexity of the psychiatric condition with a single diagnostic category, and a multiaxial approach provides a more comprehensive picture of the current disorder. The WPA section on classification has developed a multiaxial schema based on the ICD-10 family of classifications. Four axes are proposed. Axis I: on clinical disorders; axis II: on disabilities; axis III: on contextual factors, and axis IV: on quality of life. Even though the multiaxial approach has been widely taught and surveys report on its international acceptability, daily use by clinicians of the 'non-diagnostic' axes have till now been limited, despite expressed interest by the very same clinicians. The multiaxial formulation is still developing and transcultural experiences need to be gained.

  15. Laser-based temperature diagnostics in practical combustion systems

    OpenAIRE

    Kronemayer, Helmut

    2007-01-01

    Today’s energy supply relies on the combustion of fossil fuels. This results in emissions of toxic pollutants and green-house gases that most likely influence the global climate. Hence, there is a large need for developing efficient combustion processes with low emissions. In order to achieve this, quantitative measurement techniques are required that allow accurate probing of important quantities, such as e.g. the gas temperature, in practical combustion devices. Diagnostic techniques: Ther...

  16. Diagnostic omission errors in acute paediatric practice: impact of a reminder system on decision-making

    Directory of Open Access Journals (Sweden)

    Fisher Helen

    2006-11-01

    Full Text Available Abstract Background Diagnostic error is a significant problem in specialities characterised by diagnostic uncertainty such as primary care, emergency medicine and paediatrics. Despite wide-spread availability, computerised aids have not been shown to significantly improve diagnostic decision-making in a real world environment, mainly due to the need for prolonged system consultation. In this study performed in the clinical environment, we used a Web-based diagnostic reminder system that provided rapid advice with free text data entry to examine its impact on clinicians' decisions in an acute paediatric setting during assessments characterised by diagnostic uncertainty. Methods Junior doctors working over a 5-month period at four paediatric ambulatory units consulted the Web-based diagnostic aid when they felt the need for diagnostic assistance. Subjects recorded their clinical decisions for patients (differential diagnosis, test-ordering and treatment before and after system consultation. An expert panel of four paediatric consultants independently suggested clinically significant decisions indicating an appropriate and 'safe' assessment. The primary outcome measure was change in the proportion of 'unsafe' workups by subjects during patient assessment. A more sensitive evaluation of impact was performed using specific validated quality scores. Adverse effects of consultation on decision-making, as well as the additional time spent on system use were examined. Results Subjects attempted to access the diagnostic aid on 595 occasions during the study period (8.6% of all medical assessments; subjects examined diagnostic advice only in 177 episodes (30%. Senior House Officers at hospitals with greater number of available computer workstations in the clinical area were most likely to consult the system, especially out of working hours. Diagnostic workups construed as 'unsafe' occurred in 47/104 cases (45.2%; this reduced to 32.7% following system

  17. USING THE INFORMATION OF ON-BOARD DIAGNOSTIC SYSTEMS IN DETERMINING THE TECHNICAL STATE OF THE LOCOMOTIVE

    Directory of Open Access Journals (Sweden)

    B. Ye. Bodnar

    2008-12-01

    Full Text Available The issues of increase of efficiency of information processing by оn-board systems of diagnostics of locomotives are considered. The examples of information processing by the on-board system of diagnostics of electric locomotives DE1 are presented. The suggestions on improvement of systematization and processing of information by on-board systems of diagnostics are given.

  18. Use of the target diagnostic control system in the National Ignition Facility

    Energy Technology Data Exchange (ETDEWEB)

    Shelton, R; Lagin, L; Nelson, J

    2011-07-25

    The extreme physics of targets shocked by NIF's 192-beam laser are observed by a diverse suite of diagnostics including optical backscatter, time-integrated, time resolved and gated X-ray sensors, laser velocity interferometry, and neutron time of flight. Diagnostics to diagnose fusion ignition implosion and neutron emissions have been developed. A Diagnostic Control System (DCS) for both hardware and software facilitates development and eases integration. Each complex diagnostic typically uses an ensemble of electronic instruments attached to sensors, digitizers, cameras, and other devices. In the DCS architecture each instrument is interfaced to a low-cost Window XP processor and Java application. Instruments are aggregated as needed in the supervisory system to form an integrated diagnostic. The Java framework provides data management, control services and operator GUI generation. During the past several years, over thirty-six diagnostics have been deployed using this architecture in support of the National Ignition Campaign (NIC). The DCS architecture facilitates the expected additions and upgrades to diagnostics as more experiments are performed. This paper presents the DCS architecture, framework and our experiences in using it during the NIC to operate, upgrade and maintain a large set of diagnostic instruments.

  19. EULAR points to consider in the development of classification and diagnostic criteria in systemic vasculitis

    DEFF Research Database (Denmark)

    Basu, Neil; Watts, Richard; Bajema, Ingeborg;

    2010-01-01

    The systemic vasculitides are multiorgan diseases where early diagnosis and treatment can significantly improve outcomes. Robust nomenclature reduces diagnostic delay. However, key aspects of current nomenclature are widely perceived to be out of date, these include disease definitions, classific...

  20. Shifting Diagnostic Systems for Defining Intellectual Disability in Death Penalty Cases: Hall vs. Florida

    Science.gov (United States)

    Mukherjee, Mina; Westphal, Alexander

    2015-01-01

    The case of Hall vs. Florida tested Florida's so called "bright line rule" in determining intellectual disability in capital cases. The Supreme Court Decision reflects a more general trend from categorical to dimensional approaches in psychiatric diagnostic systems.

  1. Halo current diagnostic system of experimental advanced superconducting tokamak

    Energy Technology Data Exchange (ETDEWEB)

    Chen, D. L.; Shen, B.; Sun, Y.; Qian, J. P., E-mail: jpqian@ipp.ac.cn; Wang, Y.; Xiao, B. J. [Institute of Plasma Physics, Chinese Academy of Sciences, P.O. Box 1126, Hefei 230031 (China); Granetz, R. S. [MIT Plasma Science and Fusion Center, Cambridge, Massachusetts 02139 (United States)

    2015-10-15

    The design, calibration, and installation of disruption halo current sensors for the Experimental Advanced Superconducting Tokamak are described in this article. All the sensors are Rogowski coils that surround conducting structures, and all the signals are analog integrated. Coils with two different cross-section sizes have been fabricated, and their mutual inductances are calibrated. Sensors have been installed to measure halo currents in several different parts of both the upper divertor (tungsten) and lower divertor (graphite) at several toroidal locations. Initial measurements from disruptions show that the halo current diagnostics are working well.

  2. Halo current diagnostic system of experimental advanced superconducting tokamak

    Science.gov (United States)

    Chen, D. L.; Shen, B.; Granetz, R. S.; Sun, Y.; Qian, J. P.; Wang, Y.; Xiao, B. J.

    2015-10-01

    The design, calibration, and installation of disruption halo current sensors for the Experimental Advanced Superconducting Tokamak are described in this article. All the sensors are Rogowski coils that surround conducting structures, and all the signals are analog integrated. Coils with two different cross-section sizes have been fabricated, and their mutual inductances are calibrated. Sensors have been installed to measure halo currents in several different parts of both the upper divertor (tungsten) and lower divertor (graphite) at several toroidal locations. Initial measurements from disruptions show that the halo current diagnostics are working well.

  3. EAST-AIA deployment under vacuum: Calibration of laser diagnostic system using computer vision

    Energy Technology Data Exchange (ETDEWEB)

    Yang, Yang, E-mail: yangyang@ipp.ac.cn [Institute of Plasma Physics, Chinese Academy of Sciences, 350 Shushanhu Rd, Hefei, Anhui (China); Song, Yuntao; Cheng, Yong; Feng, Hansheng; Wu, Zhenwei; Li, Yingying; Sun, Yongjun; Zheng, Lei [Institute of Plasma Physics, Chinese Academy of Sciences, 350 Shushanhu Rd, Hefei, Anhui (China); Bruno, Vincent; Eric, Villedieu [CEA-IRFM, F-13108 Saint-Paul-Lez-Durance (France)

    2016-11-15

    Highlights: • The first deployment of the EAST articulated inspection arm robot under vacuum is presented. • A computer vision based approach to measure the laser spot displacement is proposed. • An experiment on the real EAST tokamak is performed to validate the proposed measure approach, and the results shows that the measurement accuracy satisfies the requirement. - Abstract: For the operation of EAST tokamak, it is crucial to ensure that all the diagnostic systems are in the good condition in order to reflect the plasma status properly. However, most of the diagnostic systems are mounted inside the tokamak vacuum vessel, which makes them extremely difficult to maintain under high vacuum condition during the tokamak operation. Thanks to a system called EAST articulated inspection arm robot (EAST-AIA), the examination of these in-vessel diagnostic systems can be performed by an embedded camera carried by the robot. In this paper, a computer vision algorithm has been developed to calibrate a laser diagnostic system with the help of a monocular camera at the robot end. In order to estimate the displacement of the laser diagnostic system with respect to the vacuum vessel, several visual markers were attached to the inner wall. This experiment was conducted both on the EAST vacuum vessel mock-up and the real EAST tokamak under vacuum condition. As a result, the accuracy of the displacement measurement was within 3 mm under the current camera resolution, which satisfied the laser diagnostic system calibration.

  4. [A pilot study on the quality management system of in-vitro diagnostic reagents].

    Science.gov (United States)

    Liu, Xin; Huang, Jia-hua; Xu, Feng-ling; Wang, Ze; Gu, Wei-kang

    2006-05-01

    This article makes a pilot study on the key points of the quality management system of in-vitro diagnostic reagents by analyzing the technical characteristics and production methods of these products as well as the status in quo, and problems the in-vitro diagnostic reagent industry in China is facing nowadays. It can serve as a reference to the supervision departments and the manufacturers in this field which are establishing and running the quality management system.

  5. EULAR points to consider in the development of classification and diagnostic criteria in systemic vasculitis

    DEFF Research Database (Denmark)

    Basu, Neil; Watts, Richard; Bajema, Ingeborg;

    2010-01-01

    The systemic vasculitides are multiorgan diseases where early diagnosis and treatment can significantly improve outcomes. Robust nomenclature reduces diagnostic delay. However, key aspects of current nomenclature are widely perceived to be out of date, these include disease definitions, classific......, classification and diagnostic criteria. Therefore, the aim of the present work was to identify deficiencies and provide contemporary points to consider for the development of future definitions and criteria in systemic vasculitis....

  6. Active spectroscopic measurements using the ITER diagnostic system.

    Science.gov (United States)

    Thomas, D M; Counsell, G; Johnson, D; Vasu, P; Zvonkov, A

    2010-10-01

    Active (beam-based) spectroscopic measurements are intended to provide a number of crucial parameters for the ITER device being built in Cadarache, France. These measurements include the determination of impurity ion temperatures, absolute densities, and velocity profiles, as well as the determination of the plasma current density profile. Because ITER will be the first experiment to study long timescale (∼1 h) fusion burn plasmas, of particular interest is the ability to study the profile of the thermalized helium ash resulting from the slowing down and confinement of the fusion alphas. These measurements will utilize both the 1 MeV heating neutral beams and a dedicated 100 keV hydrogen diagnostic neutral beam. A number of separate instruments are being designed and built by several of the ITER partners to meet the different spectroscopic measurement needs and to provide the maximum physics information. In this paper, we describe the planned measurements, the intended diagnostic ensemble, and we will discuss specific physics and engineering challenges for these measurements in ITER.

  7. Diagnostic System of Wireless Acoustic Emission Signal Transfer for Monitoring Oil-and-Gas Facilities

    Directory of Open Access Journals (Sweden)

    Skalsky, V.R.

    2016-01-01

    Full Text Available The structure of diagnostic 8-channel system for wireless transfer of acoustic emission information during monitoring the objects of long operation is revealed. The results of the development of algorithmic software for hardware system and personal computer, which performs system control and post-processing of acoustic emission information. are presented. The basic specifications of the system are described.

  8. MIDAS, prototype Multivariate Interactive Digital Analysis System, Phase 1. Volume 2: Diagnostic system

    Science.gov (United States)

    Kriegler, F. J.; Christenson, D.; Gordon, M.; Kistler, R.; Lampert, S.; Marshall, R.; Mclaughlin, R.

    1974-01-01

    The MIDAS System is a third-generation, fast, multispectral recognition system able to keep pace with the large quantity and high rates of data acquisition from present and projected sensors. A principal objective of the MIDAS Program is to provide a system well interfaced with the human operator and thus to obtain large overall reductions in turn-around time and significant gains in throughout. The hardware and software generated in Phase I of the over-all program are described. The system contains a mini-computer to control the various high-speed processing elements in the data path and a classifier which implements an all-digital prototype multivariate-Gaussian maximum likelihood decision algorithm operating 2 x 105 pixels/sec. Sufficient hardware was developed to perform signature extraction from computer-compatible tapes, compute classifier coefficients, control the classifier operation, and diagnose operation. Diagnostic programs used to test MIDAS' operations are presented.

  9. Non deterministic finite automata for power systems fault diagnostics

    Directory of Open Access Journals (Sweden)

    LINDEN, R.

    2009-06-01

    Full Text Available This paper introduces an application based on finite non-deterministic automata for power systems diagnosis. Automata for the simpler faults are presented and the proposed system is compared with an established expert system.

  10. Evaluation of a vibration diagnostic system for the detection of spur gear pitting failures

    Science.gov (United States)

    Townsend, Dennis P.; Zakrajsek, James J.

    1993-06-01

    A vibration diagnostic system was used to detect spur gear surface pitting fatigue in a closed-loop spur gear fatigue test rig. The diagnostic system, comprising a personal computer with an analog-to-digital conversion board, a diagnostic system unit, and software, uses time-synchronous averaging of the vibration signal to produce a vibration image of each tooth on any gear in a transmission. Several parameters were analyzed including gear pair stress wave and raw baseband vibration, kurtosis, peak ratios, and others. The system provides limits for the various parameters and gives a warning when the limits are exceeded. Several spur gear tests were conducted with this system and vibration data analyzed at 5-min. intervals. The results presented herein show that the system is fairly effective at detecting spur gear tooth surface fatigue pitting failures.

  11. A convolutional learning system for object classification in 3-D Lidar data.

    Science.gov (United States)

    Prokhorov, Danil

    2010-05-01

    In this brief, a convolutional learning system for classification of segmented objects represented in 3-D as point clouds of laser reflections is proposed. Several novelties are discussed: (1) extension of the existing convolutional neural network (CNN) framework to direct processing of 3-D data in a multiview setting which may be helpful for rotation-invariant consideration, (2) improvement of CNN training effectiveness by employing a stochastic meta-descent (SMD) method, and (3) combination of unsupervised and supervised training for enhanced performance of CNN. CNN performance is illustrated on a two-class data set of objects in a segmented outdoor environment.

  12. Advanced Ground Systems Maintenance Physics Models For Diagnostics Project

    Science.gov (United States)

    Perotti, Jose M.

    2015-01-01

    The project will use high-fidelity physics models and simulations to simulate real-time operations of cryogenic and systems and calculate the status/health of the systems. The project enables the delivery of system health advisories to ground system operators. The capability will also be used to conduct planning and analysis of cryogenic system operations. This project will develop and implement high-fidelity physics-based modeling techniques tosimulate the real-time operation of cryogenics and other fluids systems and, when compared to thereal-time operation of the actual systems, provide assessment of their state. Physics-modelcalculated measurements (called “pseudo-sensors”) will be compared to the system real-timedata. Comparison results will be utilized to provide systems operators with enhanced monitoring ofsystems' health and status, identify off-nominal trends and diagnose system/component failures.This capability can also be used to conduct planning and analysis of cryogenics and other fluidsystems designs. This capability will be interfaced with the ground operations command andcontrol system as a part of the Advanced Ground Systems Maintenance (AGSM) project to helpassure system availability and mission success. The initial capability will be developed for theLiquid Oxygen (LO2) ground loading systems.

  13. High Temperature PEM Fuel Cell Systems, Control and Diagnostics

    DEFF Research Database (Denmark)

    Andreasen, Søren Juhl; Kær, Søren Knudsen; Justesen, Kristian Kjær

    2015-01-01

    Various system topologies are available when it comes to designing high temperature PEM fuel cell systems. Very simple system designs are possible using pure hydrogen, and more complex system designs present themselves when alternative fuels are desired, using reformer systems. The use of reformed...... fuels utilizes one of the main advantages of the high temperature PEM fuel cell: robustness to fuel quality and impurities. In order for such systems to provide efficient, robust, and reliable energy, proper control strategies are needed. The complexity and nonlinearity of many of the components...

  14. Development of laser-based imaging systems for medical diagnostics

    Science.gov (United States)

    Witte, S.; Salumbides, M.; Peterman, E. J. G.; Brakenhoff, R.; van Dongen, G.; Toonen, R.; Mansvelder, H. D.; Groot, M. L.

    We present a laser system with high wavelength flexibility, suitable for nonlinear microscopy and optical coherence tomography, for visualization of disease-related morphological changes in vivo. A single-shot 2D OCT system is demonstrated.

  15. The Diagnostic Challenge Competition: Probabilistic Techniques for Fault Diagnosis in Electrical Power Systems

    Science.gov (United States)

    Ricks, Brian W.; Mengshoel, Ole J.

    2009-01-01

    Reliable systems health management is an important research area of NASA. A health management system that can accurately and quickly diagnose faults in various on-board systems of a vehicle will play a key role in the success of current and future NASA missions. We introduce in this paper the ProDiagnose algorithm, a diagnostic algorithm that uses a probabilistic approach, accomplished with Bayesian Network models compiled to Arithmetic Circuits, to diagnose these systems. We describe the ProDiagnose algorithm, how it works, and the probabilistic models involved. We show by experimentation on two Electrical Power Systems based on the ADAPT testbed, used in the Diagnostic Challenge Competition (DX 09), that ProDiagnose can produce results with over 96% accuracy and less than 1 second mean diagnostic time.

  16. Evaluation of the field size in dental diagnostic radiology system

    Energy Technology Data Exchange (ETDEWEB)

    Andrade, P.S.; Potiens, M.P.A. [Instituto de Pesquisas Energeticas e Nucleares, Sao Paulo (Brazil)

    2006-07-01

    In this work the field size of a dental X rays machine was evaluated considering the recommendation of the Brazilian Health Ministry Regulation 453 which established basic lines of radiological protection in medical and dental diagnostic radiology. The diameter of the field should not be superior to 6 cm in the localized end point, limiting the radiated area and protecting the head-neck region. The measurements were carried out in a dental X rays machine, Dabi Atlante, model Spectro 70X Seletronic. For the field size or useful beam determination, the intra-oral films were positioned on a plain surface to be exposed in four stages and two focus-film distances (FFD), 20 cm and 27.5 cm: 1) with spacer cone; 2) without spacer cone; 3) with spacer cone and film-holding device; 4) without spacer cone and film-holding device. The results show that the diameter of the field size is satisfactory only for FFD = 20 cm. When the film-holding device is used, which is recommended by the Regulation 453, item 5.8 d(ii), the diameter of the field size exceeds the maximum recommended value of 6 cm. (authors)

  17. Between the headlines of the Israeli - Arabic conflict: the coverage of CNN and Al Jazeera

    OpenAIRE

    Hemelberg, Stephany

    2015-01-01

    The purpose of this article is to analyze the coverage made by CNN and Al Jazeera (in Arabic) to operation Caste Lead and the Goldstone Report during 2008 and 2009. This investigation is based in the theory of Qualitative Analysis of Content, by Wildemuth and Zhang. The methodology follows up with the one proposed by the authors in the main theory, complementing it with the Gamson and Modigliani´s Framing theory. The methodology mention above display the different in the coverage development,...

  18. An Embedded Rule-Based Diagnostic Expert System in Ada

    Science.gov (United States)

    Jones, Robert E.; Liberman, Eugene M.

    1992-01-01

    Ada is becoming an increasingly popular programming language for large Government-funded software projects. Ada with it portability, transportability, and maintainability lends itself well to today's complex programming environment. In addition, expert systems have also assumed a growing role in providing human-like reasoning capability expertise for computer systems. The integration is discussed of expert system technology with Ada programming language, especially a rule-based expert system using an ART-Ada (Automated Reasoning Tool for Ada) system shell. NASA Lewis was chosen as a beta test site for ART-Ada. The test was conducted by implementing the existing Autonomous Power EXpert System (APEX), a Lisp-based power expert system, in ART-Ada. Three components, the rule-based expert systems, a graphics user interface, and communications software make up SMART-Ada (Systems fault Management with ART-Ada). The rules were written in the ART-Ada development environment and converted to Ada source code. The graphics interface was developed with the Transportable Application Environment (TAE) Plus, which generates Ada source code to control graphics images. SMART-Ada communicates with a remote host to obtain either simulated or real data. The Ada source code generated with ART-Ada, TAE Plus, and communications code was incorporated into an Ada expert system that reads the data from a power distribution test bed, applies the rule to determine a fault, if one exists, and graphically displays it on the screen. The main objective, to conduct a beta test on the ART-Ada rule-based expert system shell, was achieved. The system is operational. New Ada tools will assist in future successful projects. ART-Ada is one such tool and is a viable alternative to the straight Ada code when an application requires a rule-based or knowledge-based approach.

  19. A handheld point-of-care genomic diagnostic system.

    Directory of Open Access Journals (Sweden)

    Frank B Myers

    , CAD drawings, and source code for the µBAR instrument with the goal of spurring further innovation toward low-cost genetic diagnostics.

  20. Interactive Error Diagnostics for an Instructional Programming System.

    Science.gov (United States)

    Davis, Alan; And Others

    The development of an interactive error analysis system for a highly interactive programing language compiler is explored. A project is underway at the University of Illinois to automate the teaching of elementary computer science programing language courses by utilizing the PLATO IV interactive computer system. One goal of the project is to…

  1. Analyzing the Appropriateness of Internet-Based School News Programs for Social Studies Classrooms: "CNN Student News" as a Case Study

    Science.gov (United States)

    Journell, Wayne

    2014-01-01

    This article describes a research study on the appropriateness for social studies classrooms of "CNN Student News," a free online news program specifically aimed at middle and high school students. The author conducted a content analysis of "CNN Student News" during October 2012 and evaluated the program's content for…

  2. Optimal Sequential Diagnostic Strategy Generation Considering Test Placement Cost for Multimode Systems

    Directory of Open Access Journals (Sweden)

    Shigang Zhang

    2015-10-01

    Full Text Available Sequential fault diagnosis is an approach that realizes fault isolation by executing the optimal test step by step. The strategy used, i.e., the sequential diagnostic strategy, has great influence on diagnostic accuracy and cost. Optimal sequential diagnostic strategy generation is an important step in the process of diagnosis system construction, which has been studied extensively in the literature. However, previous algorithms either are designed for single mode systems or do not consider test placement cost. They are not suitable to solve the sequential diagnostic strategy generation problem considering test placement cost for multimode systems. Therefore, this problem is studied in this paper. A formulation is presented. Two algorithms are proposed, one of which is realized by system transformation and the other is newly designed. Extensive simulations are carried out to test the effectiveness of the algorithms. A real-world system is also presented. All the results show that both of them have the ability to solve the diagnostic strategy generation problem, and they have different characteristics.

  3. Optimal Sequential Diagnostic Strategy Generation Considering Test Placement Cost for Multimode Systems

    Science.gov (United States)

    Zhang, Shigang; Song, Lijun; Zhang, Wei; Hu, Zheng; Yang, Yongmin

    2015-01-01

    Sequential fault diagnosis is an approach that realizes fault isolation by executing the optimal test step by step. The strategy used, i.e., the sequential diagnostic strategy, has great influence on diagnostic accuracy and cost. Optimal sequential diagnostic strategy generation is an important step in the process of diagnosis system construction, which has been studied extensively in the literature. However, previous algorithms either are designed for single mode systems or do not consider test placement cost. They are not suitable to solve the sequential diagnostic strategy generation problem considering test placement cost for multimode systems. Therefore, this problem is studied in this paper. A formulation is presented. Two algorithms are proposed, one of which is realized by system transformation and the other is newly designed. Extensive simulations are carried out to test the effectiveness of the algorithms. A real-world system is also presented. All the results show that both of them have the ability to solve the diagnostic strategy generation problem, and they have different characteristics. PMID:26457709

  4. The reliability of child psychiatric diagnosis. A comparison among Danish child psychiatrists of traditional diagnoses and a multiaxial diagnostic system

    DEFF Research Database (Denmark)

    Skovgaard, A M; Isager, T; Jørgensen, O S

    1988-01-01

    diagnostic systems. Diagnostic reliability was measured as percentage of interrater agreement. The highest diagnostic reliability was obtained in psychotic disorders, the lowest in personality disorders. The MAS implied improved diagnostic reliability of mental retardation, somatic disorders......The study was conducted to compare an experimental multiaxial diagnostic system (MAS) with traditional multicategorical diagnoses in child psychiatric work. Sixteen written case histories were circulated to 21 child psychiatrists, who made diagnoses independently of one another, using two different...... and developmental disorders. Adjustment reaction (reactio maladaptiva) was the diagnosis most commonly used, but with varying reliability in both systems. The reliability of the socio-economic and psychosocial axes were generally high....

  5. In Situ Diagnostic Sensors for Thermal Protection Systems Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Low-profile, embedded sensors are proposed for condition monitoring and health management (HM) of thermal protection systems. The sensors will be fabricated using a...

  6. INTELLIGENT DIAGNOSTIC SYSTEM OF EMERGENCY SITUATIONS IN TRACTION SUBSTATIONS DC

    Directory of Open Access Journals (Sweden)

    Sh. N. Nasyrov

    2009-09-01

    Full Text Available In the article the architecture and algorithm of operating an expert system providing the efficiency of functioning the electric equipment for traction substation as well as the four-parameter belonging function are determined.

  7. SERS diagnostic platforms, methods and systems microarrays, biosensors and biochips

    Energy Technology Data Exchange (ETDEWEB)

    Vo-Dinh, Tuan (Knoxville, TN)

    2007-09-11

    A Raman integrated sensor system for the detection of targets including biotargets includes at least one sampling platform, at least one receptor probe disposed on the sampling platform, and an integrated circuit detector system communicably connected to the receptor. The sampling platform is preferably a Raman active surface-enhanced scattering (SERS) platform, wherein the Raman sensor is a SERS sensor. The receptors can include at least one protein receptor and at least one nucleic acid receptor.

  8. SERS diagnostic platforms, methods and systems microarrays, biosensors and biochips

    Science.gov (United States)

    Vo-Dinh, Tuan

    2007-09-11

    A Raman integrated sensor system for the detection of targets including biotargets includes at least one sampling platform, at least one receptor probe disposed on the sampling platform, and an integrated circuit detector system communicably connected to the receptor. The sampling platform is preferably a Raman active surface-enhanced scattering (SERS) platform, wherein the Raman sensor is a SERS sensor. The receptors can include at least one protein receptor and at least one nucleic acid receptor.

  9. A computer-aided diagnostic system for kidney disease

    Science.gov (United States)

    Jahantigh, Farzad Firouzi; Malmir, Behnam; Avilaq, Behzad Aslani

    2017-01-01

    Background Disease diagnosis is complicated since patients may demonstrate similar symptoms but physician may diagnose different diseases. There are a few number of investigations aimed to create a fuzzy expert system, as a computer aided system for disease diagnosis. Methods In this research, a cross-sectional descriptive study conducted in a kidney clinic in Tehran, Iran in 2012. Medical diagnosis fuzzy rules applied, and a set of symptoms related to the set of considered diseases defined. The input case to be diagnosed defined by assigning a fuzzy value to each symptom and then three physicians asked about each suspected diseases. Then comments of those three physicians summarized for each disease. The fuzzy inference applied to obtain a decision fuzzy set for each disease, and crisp decision values attained to determine the certainty of existence for each disease. Results Results indicated that, in the diagnosis of seven cases of kidney disease by examining 21 indicators using fuzzy expert system, kidney stone disease with 63% certainty was the most probable, renal tubular was at the lowest level with 15%, and other kidney diseases were at the other levels. The most remarkable finding of this study was that results of kidney disease diagnosis (e.g., kidney stone) via fuzzy expert system were fully compatible with those of kidney physicians. Conclusion The proposed fuzzy expert system is a valid, reliable, and flexible instrument to diagnose several typical input cases. The developed system decreases the effort of initial physical checking and manual feeding of input symptoms.

  10. Increased fibroblast functionality on CNN2-loaded titania nanotubes.

    Science.gov (United States)

    Wei, Hongbo; Wu, Shuyi; Feng, Zhihong; Zhou, Wei; Dong, Yan; Wu, Guofeng; Bai, Shizhu; Zhao, Yimin

    2012-01-01

    Infection and epithelial downgrowth are major problems associated with maxillofacial percutaneous implants. These complications are mainly due to the improper closure of the implant-skin interface. Therefore, designing a percutaneous implant that better promotes the formation of a stable soft tissue biologic seal around percutaneous sites is highly desirable. Additionally, the fibroblast has been proven to play an important role in the formation of biologic seals. In this study, titania nanotubes were filled with 11.2 kDa C-terminal CCN2 (connective tissue growth factor) fragment, which could exert full CCN2 activity to increase the biological functionality of fibroblasts. This drug delivery system was fabricated on a titanium implant surface. CCN2 was loaded into anodized titania nanotubes using a simplified lyophilization method and the loading efficiency was approximately 80%. Then, the release kinetics of CCN2 from these nanotubes was investigated. Furthermore, the influence of CCN2-loaded titania nanotubes on fibroblast functionality was examined. The results revealed increased fibroblast adhesion at 0.25, 0.5, 1, 2, 4, and 24 hours, increased fibroblast viability over the course of 5 days, as well as enhanced actin cytoskeleton organization on CCN2-loaded titania nanotubes surfaces compared to uncoated, unmodified counterparts. Therefore, the results from this in vitro study demonstrate that CCN2-loaded titania nanotubes have the ability to increase fibroblast functionality and should be further studied as a method of promoting the formation of a stable soft tissue biologic seal around percutaneous sites.

  11. Diagnostic model for assessing traceability system performance in fish processing plants

    NARCIS (Netherlands)

    Mgonja, J.T.; Luning, P.A.; Vorst, van der J.G.A.J.

    2013-01-01

    This paper introduces a diagnostic tool that can be used by fish processing companies to evaluate their own traceability systems in a systematic manner. The paper begins with discussions on the rationale of traceability systems in food manufacturing companies, followed by a detailed analysis of the

  12. Advanced signal processing theory and implementation for sonar, radar, and non-invasive medical diagnostic systems

    CERN Document Server

    Stergiopoulos, Stergios

    2009-01-01

    Integrates topics of signal processing from sonar, radar, and medical system technologies by identifying their concept similarities. This book covers non-invasive medical diagnostic system applications, including intracranial ultrasound, a technology that attempts to address non-invasive detection on brain injuries and stroke.

  13. Increased fibroblast functionality on CNN2-loaded titania nanotubes

    Directory of Open Access Journals (Sweden)

    Wei HB

    2012-02-01

    Full Text Available Hongbo Wei*, Shuyi Wu*, Zhihong Feng, Wei Zhou, Yan Dong, Guofeng Wu, Shizhu Bai, Yimin Zhao Department of Prosthodontics, School of Stomatology, Fourth Military Medical University, Xi'an, People's Republic of China *These authors contributed equally to this workAbstract: Infection and epithelial downgrowth are major problems associated with maxillofacial percutaneous implants. These complications are mainly due to the improper closure of the implant–skin interface. Therefore, designing a percutaneous implant that better promotes the formation of a stable soft tissue biologic seal around percutaneous sites is highly desirable. Additionally, the fibroblast has been proven to play an important role in the formation of biologic seals. In this study, titania nanotubes were filled with 11.2 kDa C-terminal CCN2 (connective tissue growth factor fragment, which could exert full CCN2 activity to increase the biological functionality of fibroblasts. This drug delivery system was fabricated on a titanium implant surface. CCN2 was loaded into anodized titania nanotubes using a simplified lyophilization method and the loading efficiency was approximately 80%. Then, the release kinetics of CCN2 from these nanotubes was investigated. Furthermore, the influence of CCN2-loaded titania nanotubes on fibroblast functionality was examined. The results revealed increased fibroblast adhesion at 0.25, 0.5, 1, 2, 4, and 24 hours, increased fibroblast viability over the course of 5 days, as well as enhanced actin cytoskeleton organization on CCN2-loaded titania nanotubes surfaces compared to uncoated, unmodified counterparts. Therefore, the results from this in vitro study demonstrate that CCN2-loaded titania nanotubes have the ability to increase fibroblast functionality and should be further studied as a method of promoting the formation of a stable soft tissue biologic seal around percutaneous sites.Keywords: anodization, titania nanotubes, adhesion, connective

  14. Development of an Adaptable Display and Diagnostic System for the Evaluation of Tropical Cyclone Forecasts

    Science.gov (United States)

    Kucera, P. A.; Burek, T.; Halley-Gotway, J.

    2015-12-01

    NCAR's Joint Numerical Testbed Program (JNTP) focuses on the evaluation of experimental forecasts of tropical cyclones (TCs) with the goal of developing new research tools and diagnostic evaluation methods that can be transitioned to operations. Recent activities include the development of new TC forecast verification methods and the development of an adaptable TC display and diagnostic system. The next generation display and diagnostic system is being developed to support evaluation needs of the U.S. National Hurricane Center (NHC) and broader TC research community. The new hurricane display and diagnostic capabilities allow forecasters and research scientists to more deeply examine the performance of operational and experimental models. The system is built upon modern and flexible technology that includes OpenLayers Mapping tools that are platform independent. The forecast track and intensity along with associated observed track information are stored in an efficient MySQL database. The system provides easy-to-use interactive display system, and provides diagnostic tools to examine forecast track stratified by intensity. Consensus forecasts can be computed and displayed interactively. The system is designed to display information for both real-time and for historical TC cyclones. The display configurations are easily adaptable to meet the needs of the end-user preferences. Ongoing enhancements include improving capabilities for stratification and evaluation of historical best tracks, development and implementation of additional methods to stratify and compute consensus hurricane track and intensity forecasts, and improved graphical display tools. The display is also being enhanced to incorporate gridded forecast, satellite, and sea surface temperature fields. The presentation will provide an overview of the display and diagnostic system development and demonstration of the current capabilities.

  15. Diagnostic Solution Assistant cornerstone for intelligent system monitoring, management, analysis and administration

    Science.gov (United States)

    Aaseng, Gordon; Holland, Courtney; Nelson, Bill

    2000-01-01

    The Diagnostic Solution Assistant (DSA) provides diagnostics for space hardware and subsystems. Advanced Honewell `smart' model-based technology performs the real-time fault detection, isolation and diagnostics. This model-based technology provides 24-hour access to the operational knowledge of the system experts. The complexity of the International Space Station (ISS) and other manned space vehicles requires that a full staff of ground based system diagnosis experts be trained and available at all times. Response to critical situations must be immediate no matter what time of the day or night. Installation of new systems plus normal staff turnover cause personnel to be in training constantly. Domain knowledge lost due to staff attrition may also never be regained. All of these factors lead to higher cost ground based flight system monitoring stations and sub-optimal efficiency. The Diagnostic Solution Assistant (DSA) provides a solution to these issues. The DSA can be deployed into the ISS Mission Control Center to enhance Flight Controller awareness and decision making. DSA can be utilized onboard the vehicle to enhance crew awareness and potentially offload the crew in time- or safety-critical situations. The DSA can be used to isolate and diagnose faults during flight preparation, thus reducing the overall vehicle turn-around time. In addition to having diagnostic capability, DSA is a tremendous requirements and operations knowledge capture tool that could streamline training for the flight controller and crew, and facilitate the rapid location of important information. .

  16. Development of prototype polychromator system for KSTAR Thomson scattering diagnostic

    Science.gov (United States)

    Lee, J. H.; Lee, S. H.; Son, S. H.; Ko, W. H.; Seo, D. C.; Yamada, I.; Her, K. H.; Jeon, J. S.; Bog, M. G.

    2015-12-01

    A polychromator is widely used by the Thomson scattering system for measuring the electron temperature and density. This type of spectrometer includes optic elements such as band-pass filters, focusing lens, collimating lens, and avalanche photodiodes (APDs). The characteristics of band-pass filters in the polychromator are determined by the measuring range of the Thomson system. KSTAR edge polychromators were developed by co-works at NIFS in Japan, and the KSTAR core polychromators were developed by NFRI in Korea. The power supply system of these polychromators is connected only to one power supply module and can manually control the APD's voltage at the front side of the power supply by using a potentiometer. In this paper, a prototype polychromator is introduced at the KSTAR. The prototype polychromator system has a built-in power supply unit that includes high voltage for the APD and ± 5 V for an op-amp IC. The high voltage for the APD is finely controlled and monitored using a PC with the LabView software. One out of the six band pass-filters has a center wavelength of 523.5 nm with 2-nm bandwidth, which can measure Zeff, and the other five band-pass filters can simultaneously measure the Thomson signal. In addition, we will show the test result of this prototype polychromator system during the KSTAR experiment campaign (2015).

  17. Combined medical diagnostic system with separated laser-Doppler and reflectance oximeter channels

    Science.gov (United States)

    Amzina, M. V.; Micheev, A. A.; Rogatkin, D. A.; Sidorov, V. V.

    2006-08-01

    On the basis of studying of opportunities of Reflectance Tissues Oximetry (RTO) as well as on the basis of RTO and Laser Doppler Flowmetry (LDF) comparative data, received in Moscow Regional Research and Clinical Institute "MONIKI" while patients with the peripheral blood microcirculation disorders were under examination, it was offered to unite the RTO and LDF techniques in a single diagnostic system. The new two-channel diagnostic system will contain the first LDF channel to measure the blood microcirculation parameters and the second RTO channel to register an average peripheral blood oxygenation. In the report the features of the new system design and a number of experimental data on correlation of RTO and LDF results are considered. The prospects of amalgamation of these two different techniques in a single diagnostic device are shown as well.

  18. A fuzzy logic intelligent diagnostic system for spacecraft integrated vehicle health management

    Science.gov (United States)

    Wu, G. Gordon

    1995-01-01

    Due to the complexity of future space missions and the large amount of data involved, greater autonomy in data processing is demanded for mission operations, training, and vehicle health management. In this paper, we develop a fuzzy logic intelligent diagnostic system to perform data reduction, data analysis, and fault diagnosis for spacecraft vehicle health management applications. The diagnostic system contains a data filter and an inference engine. The data filter is designed to intelligently select only the necessary data for analysis, while the inference engine is designed for failure detection, warning, and decision on corrective actions using fuzzy logic synthesis. Due to its adaptive nature and on-line learning ability, the diagnostic system is capable of dealing with environmental noise, uncertainties, conflict information, and sensor faults.

  19. Advanced Diagnostics and Instrumentation for Chemically Reactive Flow Systems.

    Science.gov (United States)

    1981-09-01

    AO-Aill 912 STANFORD UNIV CA DEPT OF MECHANICAL ENINEERING F/S 20/5 ADVANCED IAGNOSTICS AN ZNSYR%0TATON FOR CHMICALLY R9[ACT!VY-fTCU) SP 1 R K HANSON...fused silica fiber optics. 2. development of hardware and software to modulate the dye laser wave- length, transfer detector signals to a dedicated...color display monitor, the high speed Versatec graphics printer and the CAMAC 4 M~z A/D system. We have installed the com- puter software system and

  20. S-Cnn Ship Detection from High-Resolution Remote Sensing Images

    Science.gov (United States)

    Zhang, Ruiqian; Yao, Jian; Zhang, Kao; Feng, Chen; Zhang, Jiadong

    2016-06-01

    Reliable ship detection plays an important role in both military and civil fields. However, it makes the task difficult with high-resolution remote sensing images with complex background and various types of ships with different poses, shapes and scales. Related works mostly used gray and shape features to detect ships, which obtain results with poor robustness and efficiency. To detect ships more automatically and robustly, we propose a novel ship detection method based on the convolutional neural networks (CNNs), called SCNN, fed with specifically designed proposals extracted from the ship model combined with an improved saliency detection method. Firstly we creatively propose two ship models, the "V" ship head model and the "||" ship body one, to localize the ship proposals from the line segments extracted from a test image. Next, for offshore ships with relatively small sizes, which cannot be efficiently picked out by the ship models due to the lack of reliable line segments, we propose an improved saliency detection method to find these proposals. Therefore, these two kinds of ship proposals are fed to the trained CNN for robust and efficient detection. Experimental results on a large amount of representative remote sensing images with different kinds of ships with varied poses, shapes and scales demonstrate the efficiency and robustness of our proposed S-CNN-Based ship detector.

  1. A CNN-based approach to integrate the 3-D turbolent diffusion equation

    Science.gov (United States)

    Nunnari, G.

    2003-04-01

    The paper deals with the integration of the 3-D turbulent diffusion equation. This problem is relevant in several application fields including fluid dynamics, air/water pollution, volcanic ash emissions and industrial hazard assessment. As it is well known numerical solution of such a kind of equation is very time consuming even by using modern digital computers and this represents a short-coming for on-line applications. To overcome this drawback a Cellular Neural Network Approach is proposed in this paper. CNN's proposed by Chua and Yang in 1988 are massive parallel analog non-linear circuits with local interconnections between the computing elements that allow very fast distributed computations. Nowadays several producers of semiconductors such as SGS-Thomson are producing on chip CNN's so that their massive use for heavy computing applications is expected in the near future. In the paper the methodological background of the proposed approach will be outlined. Further some results both in terms of accuracy and computation time will be presented also in comparison with traditional three-dimensional computation schemes. Some results obtained to model 3-D pollution problems in the industrial area of Siracusa (Italy), characterised by a large concentration of petrol-chemical plants, will be presented.

  2. Discrimination of Oil Slicks and Lookalikes in Polarimetric SAR Images Using CNN.

    Science.gov (United States)

    Guo, Hao; Wu, Danni; An, Jubai

    2017-08-09

    Oil slicks and lookalikes (e.g., plant oil and oil emulsion) all appear as dark areas in polarimetric Synthetic Aperture Radar (SAR) images and are highly heterogeneous, so it is very difficult to use a single feature that can allow classification of dark objects in polarimetric SAR images as oil slicks or lookalikes. We established multi-feature fusion to support the discrimination of oil slicks and lookalikes. In the paper, simple discrimination analysis is used to rationalize a preferred features subset. The features analyzed include entropy, alpha, and Single-bounce Eigenvalue Relative Difference (SERD) in the C-band polarimetric mode. We also propose a novel SAR image discrimination method for oil slicks and lookalikes based on Convolutional Neural Network (CNN). The regions of interest are selected as the training and testing samples for CNN on the three kinds of polarimetric feature images. The proposed method is applied to a training data set of 5400 samples, including 1800 crude oil, 1800 plant oil, and 1800 oil emulsion samples. In the end, the effectiveness of the method is demonstrated through the analysis of some experimental results. The classification accuracy obtained using 900 samples of test data is 91.33%. It is here observed that the proposed method not only can accurately identify the dark spots on SAR images but also verify the ability of the proposed algorithm to classify unstructured features.

  3. Operational modelling to guide implementation and scale-up of diagnostic tests within the health system: exploring opportunities for parasitic disease diagnostics based on example application for tuberculosis.

    Science.gov (United States)

    Langley, Ivor; Adams, Emily; Doulla, Basra; Squire, S Bertel

    2014-12-01

    Research and innovation in the diagnosis of infectious and parasitic diseases has led to the development of several promising diagnostic tools, for example in malaria there is extensive literature concerning the use of rapid diagnostic tests. This means policymakers in many low and middle income countries need to make difficult decisions about which of the recommended tools and approaches to implement and scale-up. The test characteristics (e.g. sensitivity and specificity) of the tools alone are not a sufficient basis on which to make these decisions as policymakers need to also consider the best combination of tools, whether the new tools should complement or replace existing diagnostics and who should be tested. Diagnostic strategies need dovetailing to different epidemiology and structural resource constraints (e.g. existing diagnostic pathways, human resources and laboratory capacity). We propose operational modelling to assist with these complex decisions. Projections of patient, health system and cost impacts are essential and operational modelling of the relevant elements of the health system could provide these projections and support rational decisions. We demonstrate how the technique of operational modelling applied in the developing world to support decisions on diagnostics for tuberculosis, could in a parallel way, provide useful insights to support implementation of appropriate diagnostic innovations for parasitic diseases.

  4. Strategic Explanations for a Diagnostic Consultation System. Technical Report #8.

    Science.gov (United States)

    Hasling, Diane Warner; And Others

    This paper examines the problem of automatic explanation of reasoning, or the ability of a program to discuss what it is doing in some understandable way, particularly as part of an expert system. An introduction presents a general framework in which to view explanation and reviews some of the research in this area. This is followed by a…

  5. Manufacturing routes for disposable polymer blood diagnostic microfluidic systems

    DEFF Research Database (Denmark)

    Tosello, Guido; Griffiths, Christian; Azcarate, Sabino

    2008-01-01

    The future vision of multi - analysis point of care testing (POCT) shows a hand-held device that patients can use with an ease similar to current blood sugar test systems. Additionally the mobile instrument would require transfer of the measured test results wirelessly to the doctor’s office, thus...

  6. Development of a system to provide diagnostics-while-drilling.

    Energy Technology Data Exchange (ETDEWEB)

    Wise, Jack LeRoy; Jacobson, Ronald David; Finger, John Travis; Mansure, Arthur James; Knudsen, Steven Dell

    2003-06-01

    This report describes development of a system that provides high-speed, real-time downhole data while drilling. Background of the project, its benefits, major technical challenges, test planning, and test results are covered by relatively brief descriptions in the body of the report, with some topics presented in more detail in the attached appendices.

  7. Built-in active sensing diagnostic system for civil infrastructure systems

    Science.gov (United States)

    Wu, Fan; Chang, Fu-Kuo

    2001-07-01

    A reliable, robust monitoring system can improve the maintenance of and provide safety protection for civil structures and therefore prolong their service lives. A built-in, active sensing diagnostic technique for civil structures has been under investigation. In this technique, piezoelectric materials are used as sensors/actuators to receive and generate signals. The transducers are embedded in reinforced concrete (RC) beams and are designed to detect damage, particularly debonding damage between the reinforcing bars and concrete. This paper presents preliminary results from a feasibility study of the technology. Laboratory experiments performed on RC beams, with piezo-electric sensors and actuators mounted on reinforced steel bars, have clearly demonstrated that the proposed technique could detect debonding damage. Analytical work, using a special purpose finite-element software, PZFlex, was also conducted to interpret the relationship between the measured data and actual debonding damage. Effectiveness of the proposed technique for detecting debonding damage in civil structures has been demonstrated.

  8. Multipurpose X-ray diagnostic system, Ultimax; Tamokuteki x sen shindan system Ultimax

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2000-03-01

    A multipurpose X-ray diagnostic system, Ultimax has been developed. It is widely applicable to clinic purposes, e.g., digestive organ examination, angiography and catheterism (interventional treatment) under fluoroscopy, and can be installed in an existing X-ray TV monitoring room. Its major features are: (1) manual adjustment of C arm (stroke: 165 cm) at 18 cm/s at the highest and improved operability/response, to be quickly positioned on a whole body, (2) pulse fluoroscopy, quality filter and low-exposure mode fluoroscopy, which can reduce exposure by up to around 90%, and (3) panel computer adopted on the operational table, facilitating the manipulation by the aid of graphical user interface (GUI). (translated by NEDO)

  9. Combined pulse-oximeter-NIRS system for biotissue diagnostics

    Science.gov (United States)

    Hovhannisyan, Vladimir A.

    2005-08-01

    Multi-wavelength (670, 805, 848 and 905 nm), multi-detector device for non-invasive measurement of biochemical components concentration in human or animal tissues, combining the methods of conventional pulse-oximetry and near infrared spectroscopy, is developed. The portable and clinically applicable system allows to measure heart pulse rate, oxygen saturation of arterial hemoglobin (pulse-oximetry method) and local absolute concentration of oxyhemoglobin, deoxyhemoglobin and oxidized cytochrome aa3 or other IR absorbed compounds (NIRS method). The system can be applied in monitoring of oxygen availability and utilization by the brain in neonatal and adults, neuro- traumatology, intensive care medicine, transplantation and plastic surgery, in sport, high-altitude and aviation medicine.

  10. [Application of chromatography methods for the diagnostics of systemic inflammation].

    Science.gov (United States)

    Pastukhova, N K; Starkov, G E

    2010-01-01

    Specific manifestations of systemic inflammation in patients with acute destructive cholecystitis in the postoperative period were studied by the methods of high-precision exclusive liquid chromatography with chromatograph "Trirotar" (Japan) with columns "Polysep G-5", "Toyopearl-Sw - 2000-2500". It was found that systemic inflammation was accompanied by active accumulation of middle- and low-molecular mass. Later their spectrum was found to change when going over to unfavorable clinical course. In patients with septic shock there occurred enrichment of the chromatographic picture spectrum with new peaks (substances which can be considered as endotoxins), decrease of the albumin concentration, as well as increase of dispersity of the biochemical composition of blood.

  11. Study on Unified Chaotic System-Based Wind Turbine Blade Fault Diagnostic System

    Science.gov (United States)

    Kuo, Ying-Che; Hsieh, Chin-Tsung; Yau, Her-Terng; Li, Yu-Chung

    At present, vibration signals are processed and analyzed mostly in the frequency domain. The spectrum clearly shows the signal structure and the specific characteristic frequency band is analyzed, but the number of calculations required is huge, resulting in delays. Therefore, this study uses the characteristics of a nonlinear system to load the complete vibration signal to the unified chaotic system, applying the dynamic error to analyze the wind turbine vibration signal, and adopting extenics theory for artificial intelligent fault diagnosis of the analysis signal. Hence, a fault diagnostor has been developed for wind turbine rotating blades. This study simulates three wind turbine blade states, namely stress rupture, screw loosening and blade loss, and validates the methods. The experimental results prove that the unified chaotic system used in this paper has a significant effect on vibration signal analysis. Thus, the operating conditions of wind turbines can be quickly known from this fault diagnostic system, and the maintenance schedule can be arranged before the faults worsen, making the management and implementation of wind turbines smoother, so as to reduce many unnecessary costs.

  12. Study of Internet-based Open Remote Diagnostic System

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    With the wide application of information technologi es , Internet-based remote diagnosis (IRD) of plant will surely become the main se rvice mode of corporations in the future. Therefore, it has received a great dea l recognition from academia and the industry. The IRD technology, which is based upon database, computer, and network technologies is the focus of correlative r esearch all over the world. Although some scientific institutions have developed primary IRD systems, their functions are quite narro...

  13. Prodiag--a hybrid artificial intelligence based reactor diagnostic system for process faults

    Energy Technology Data Exchange (ETDEWEB)

    Reifman, J.; Wei, T.Y.C.; Vitela, J.E. [Argonne National Lab., IL (United States); Applequist, C. A. [Commonwealth Research Corp., Chicago, IL (United States); Chasensky, T.M. [Commonwealth Edison Co., Chicago, IL (United States)

    1996-03-01

    Commonwealth Research Corporation (CRC) and Argonne National Laboratory (ANL) are collaborating on a DOE-sponsored Cooperative Research and Development Agreement (CRADA), project to perform feasibility studies on a novel approach to Artificial Intelligence (Al) based diagnostics for component faults in nuclear power plants. Investigations are being performed in the construction of a first-principles physics-based plant level process diagnostic expert system (ES) and the identification of component-level fault patterns through operating component characteristics using artificial neural networks (ANNs). The purpose of the proof-of-concept project is to develop a computer-based system using this Al approach to assist process plant operators during off-normal plant conditions. The proposed computer-based system will use thermal hydraulic (T-H) signals complemented by other non-T-H signals available in the data stream to provide the process operator with the component which most likely caused the observed process disturbance.To demonstrate the scale-up feasibility of the proposed diagnostic system it is being developed for use with the Chemical Volume Control System (CVCS) of a nuclear power plant. A full-scope operator training simulator representing the Commonwealth Edison Braidwood nuclear power plant is being used both as the source of development data and as the means to evaluate the advantages of the proposed diagnostic system. This is an ongoing multi-year project and this paper presents the results to date of the CRADA phase.

  14. Systemic sclerosis - focus on dermatological aspects. Part 2: diagnostics, therapy.

    Science.gov (United States)

    Sticherling, Michael

    2012-11-01

    Systemic sclerosis is a chronic inflammatory multiorgan disease which may involve the skin and internal organs to a varying extent. Pathogenetically the vasculature, connective tissue and the immune system are involved in a yet to be defined sequence and impact. Case history and results of physical as well as laboratory examinations will determine individually adapted further organ imaging or invasive procedures. Based on their results therapy is initiated which may include supportive measures such as physiotherapy as well as basic skin care and avoidance of any trauma. Many agents are available for the circulatory problems including Raynaud phenomenon and digital ulcers such as calcium channel blockers, ACE inhibitors and intravenous prostacyclin derivatives, as well as endothelin receptor blockers and phosphodiesterase inhibitors. Immunosuppressive and immunomodulatory agents are of varying efficacy depending on organ involvement. Though various therapeutic measures are available, beneficial effects are limited and associated with various unwanted effects. In any case, the therapy has to be individually adapted to the disease stage and course of the disease.

  15. Conceptual architecture of the plant system controller for the magnetics diagnostic of the ITER tokamak

    Energy Technology Data Exchange (ETDEWEB)

    Neto, A.C., E-mail: Andre.Neto@f4e.europa.eu [Fusion for Energy, 08019 Barcelona (Spain); Arshad, S.; Sartori, F. [Fusion for Energy, 08019 Barcelona (Spain); Vayakis, G. [ITER Organization, Route de Vinon sur Verdon, 13115 Saint Paul-lez-Durance (France); Ambrosino, G. [Consorzio CREATE/Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli (Italy); Batista, A. [Instituto de Plasmas e Fusão Nuclear, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa (Portugal); Bas, I. [GTD Sistemas de Información, 08005 Barcelona (Spain); Campagnolo, R. [Fusion for Energy, 08019 Barcelona (Spain); Carvalho, B.B. [Instituto de Plasmas e Fusão Nuclear, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa (Portugal); De Magneval, G. [GTD Sistemas de Información, 08005 Barcelona (Spain); De Tommasi, G. [Consorzio CREATE/Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli (Italy); Dominguez, O. [GTD Sistemas de Información, 08005 Barcelona (Spain); Fernandez-Hernando, J.L. [ITER Organization, Route de Vinon sur Verdon, 13115 Saint Paul-lez-Durance (France); Pironti, A. [Consorzio CREATE/Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli (Italy); Simrock, S. [ITER Organization, Route de Vinon sur Verdon, 13115 Saint Paul-lez-Durance (France); and others

    2015-10-15

    In a tokamak the magnetic diagnostics are key to the exploitation of the machine. They play a central role in the real-time control of fundamental plasma properties, such as the plasma shape and position, while also contributing with important data to a better understanding of the plasma physics. One of the particular challenges of the ITER magnetics diagnostic is the need to balance high system reliability with sufficient freedom to tune and improve the quality of the diagnostic physics output. This requirement calls for a design pattern where the functions related to plasma control and protection are loosely coupled with the functions related to the plasma science. This work reports on the current status of the magnetics plant system controller design and discusses some possible design solutions that address the aforementioned issue.

  16. Handbook of technical diagnostics fundamentals and application to structures and systems

    CERN Document Server

    2013-01-01

    This book presents concepts, methods and techniques to examine symptoms of faults and failures of structures, systems and components and to monitor functional performance and structural integrity. The book is organized in five parts. Part A introduces the scope and application of technical diagnostics and gives a comprehensive overview of the physics of failure. Part B presents all relevant methods and techniques for diagnostics and monitoring: from stress, strain, vibration analysis, nondestructive evaluation, thermography and industrial radiology to computed tomography and subsurface microstructural analysis. Part C cores the principles and concepts of technical failure analysis, illustrates case studies, and outlines machinery diagnostics with an emphasis on tribological systems. Part D describes the application of structural health monitoring and performance control to plants and the technical infrastructure, including buildings, bridges, pipelines, electric power stations, offshore wind structures, and r...

  17. [Lab-on-a-chip systems in the point-of-care diagnostics].

    Science.gov (United States)

    Szabó, Barnabás; Borbíró, András; Fürjes, Péter

    2015-12-27

    The need in modern medicine for near-patient diagnostics being able to accelerate therapeutic decisions and possibly replacing laboratory measurements is significantly growing. Reliable and cost-effective bioanalytical measurement systems are required which - acting as a micro-laboratory - contain integrated biomolecular recognition, sensing, signal processing and complex microfluidic sample preparation modules. These micro- and nanofabricated Lab-on-a-chip systems open new perspectives in the diagnostic supply chain, since they are able even for quantitative, high-precision and immediate analysis of special disease specific molecular markers or their combinations from a single drop of sample. Accordingly, crucial requirements regarding the instruments and the analytical methods are the high selectivity, extremely low detection limit, short response time and integrability into the healthcare information networks. All these features can make the hierarchical examination chain shorten, and revolutionize laboratory diagnostics, evolving a brand new situation in therapeutic intervention.

  18. [Intelligent system to perform a diagnostic protocol for lymphatic invasion in laryngeal cancer].

    Science.gov (United States)

    Zapater, E; Moreno, S; Armengot, M; Campos, A; Taleb, C; Alba, J R; Basterra, J

    2002-11-01

    Laryngeal carcinoma is the most frequent malignant tumour in head and neck. Node invasion is known to be one of the most important prognostic factors. The aim of this study has been to design an intelligent system to perform a diagnostic algorithm of metastasic neck nodes. 122 clinical reports of patients diagnosed of laryngeal carcinoma in our department have been reviewed. The compiled data have been: tumor site, T stage, N stage (clinical, after CT scan and post-surgery). The method used to design the intelligent system has been the ID3, which is able to generate a minimal decision tree. Palpation has been the variable that has given more information about node invasion. CT has proved to be more efficient in supraglottic tumours. ID3 method has shown to be useful in performing diagnostic algorithms, specially when the number of cases and diagnostic tests are high.

  19. Cryogenic systems advanced monitoring, fault diagnostics, and predictive maintenance

    CERN Document Server

    Arpaia, Pasquale

    2017-01-01

    Cryogenics, the study and technology of materials and systems at very low temperature, is widely used for sensors and instruments requiring very highly precise measurements with low electrical resistance, especially for measurements of materials and energies at a very small scale. Thus, the need to understand how instruments operate and perform over time at temperatures below -2920 F (-1800 C) is critical, for applications from Magnetic Resonance Imaging (MRI) to Nuclear Magnetic Resonance Spectroscopy to instrumentation for particle accelerators of all kinds. This book brings to the reader guidance learned from work at the European Laboratory for Nuclear Research (CERN), and its large scale particle accelerator in Switzerland to help engineers and technicians implement best practices in instrumentation at cryogenic temperatures, including a better understanding of fault detection and predictive maintenance. Special problems with devices like flow meters, pressure gauges, and temperature gauges when operating...

  20. [Systemic sarcoidosis: a diagnostic challenge in pediatrics. Case report].

    Science.gov (United States)

    Díaz Angarita, Tomás; Morales Camacho, William; Lozano Neira, Laura; Plata Ortiz, Jessica; Zárate Taborda, Linda

    2016-10-01

    Sarcoidosis is a granulomatous inflammatory disease of unknown etiology, evidenced most often in young adults, which can compromise several organs, mainly lung, lymph nodes, eyes and skin. The presence of the disease in pediatric population is rare. Denomination in pediatrics is made based on age and clinical manifestations of the patient. The aim of this report is to present a case of systemic sarcoidosis in a pediatric patient without lung involvement with severe extrapulmonary manifestations. Fifteen year old patient who debuted with nonspecific symptoms (emesis, weight loss). Radiographic studies without lung involvement but with findings suggestive of Langerhans cell histiocytosis; however, histopathological report (bone and lymph) showed the presence of chronic granulomatous nonnecrotizing disease, sarcoidosis type. Childhood sarcoidosis is a rare and difficult entity to diagnose, mainly by the lack of specific biomarkers for diagnosis.

  1. Early Diagnostic and Predictive Value of Capillaroscopy in Systemic Sclerosis.

    Science.gov (United States)

    Cutolo, Maurizio; Pizzorni, Carmen; Sulli, Alberto; Smith, Vanessa

    2013-01-01

    Nailfold microvascular impairment represents an early feature of systemic sclerosis (SSc) and its progression through different patterns of capillary damage and their validated scoring, is evaluable by nailfold videocapillaroscopy (NVC) in a safe and reliable manner. The presence of specific morphological microvascular alterations at the NVC (i.e., presence of giant capillaries) is fundamental and mandatory for the early diagnosis of SSc, together with the presence of the Raynaud's phenomenon. Furthermore, a recent longitudinal study showed a dynamic transition of microvascular damage through different NVC patterns of microangiopathy in almost 50% of SSc patients and clinical symptoms progressed in accordance with the NVC morphologic changes in 60% of the SSc patients. A pilot study was the first demonstrating an association between baseline NVC patterns and future severe, peripheral vascular and lung involvement with stronger odds according to worsening scleroderma patterns. Prognostic indexes for digital trophic lesions, especially for daily use in SSc clinics and simply limited to the mean score of capillary loss are now validated. Very recently, it has been described that efficacious potentially disease modifying therapies in SSc may interfere with progression of nailfold microvascular damage, as assessed by NVC, over long term at least in presence of digital ulcers. NVC is a safe and reliable tool for the early diagnosis of SSc and the different NVC scleroderma patterns have a predictive value for the clinical complications of the disease.

  2. Penile involvement in Systemic Sclerosis: New Diagnostic and Therapeutic Aspects

    Directory of Open Access Journals (Sweden)

    Antonio Aversa

    2010-01-01

    Full Text Available Systemic Sclerosis (SSc is a connective tissue disorder featuring vascular alterations and an immunological activation leading to a progressive and widespread fibrosis of several organs such as the skin, lung, gastrointestinal tract, heart, and kidney. Men with SSc are at increased risk of developing erectile dysfunction (ED because of the evolution of early microvascular tissutal damage into corporeal fibrosis. The entity of penile vascular damage in SSc patients has been demonstrated by using Duplex ultrasonography and functional infra-red imaging and it is now clear that this is a true clinical entity invariably occurring irrespective of age and disease duration and constituting the ‘‘sclerodermic penis’’. Once-daily phosphodiesterase type-5 (PDE5 inhibitors improve both sexual function and vascular measures of cavernous arteries by improving surrogate markers of endothelial dysfunction, that is, plasma endothelin-1 and adrenomedullin levels, which may play a potential role in preventing progression of penile fibrosis and ED. Also, the beneficial effect of long-term PDE5i add-on therapy to SSc therapy in the treatment of Raynaud's phenomenon is described.

  3. Diagnostics of power transmissions system with tooth gear

    Directory of Open Access Journals (Sweden)

    Grzegorz WOJNAR

    2008-01-01

    Full Text Available This paper presents results of laboratory tests that were aimed at detecting early stages of various faults in toothed wheels by measurement and analysis of transverse vibration speed of the transmission gear shafts. In experimental investigation, cracking of the root tooth and chipping of the tooth were detected. The laser vibrometer Ometron VH300+ was used for non-contact measurement of shaft transversal vibration speed. Gear vibrations were recorded in selected points of gear housing and gear shafts at different speeds and gear loads. Results were analyzed and compared but in this paper is presented only selected examples. This paper shows that on the basis of the transverse vibration speed of transmission gear shafts, it is possible to detect defects at an earlier stage than on the basis of the housing vibration accelerations. In the case of measuring gear shaft vibration velocity, the way of the signal generated by the defect of a gear wheel (or bearing is shortened as well as the influence of composed transmittance of the bearing-gear housing system is eliminated. WV time-frequency analysis and complex continuous wavelet transformations were used for detection. The authors introduced a measure of local tooth damage, which was proportional to the size of damage. The results of research presented in this paperconfirmed that the defect's measure is very sensitive to the development of teeth faults.

  4. Global Accelerator Network, Control Systems And Beam Diagnostics

    CERN Document Server

    Raich, U

    2003-01-01

    Falling funds force all accelerator centers to look for new sources of financing and for the most efficient way of implementing new projects. This very often leads to collaborations between institutes scattered around the globe, a problem well known to big high energy physics experiments. The collaborations working on big detectors e.g. for LHC started thinking about detector acquisition and control systems which can be remotely used from their respective home institutes with minimal support on the spot. This idea was taken up by A. Wagner from DESY for the TESLA machine, who proposed the “Global Accelerator Network” (GAN) enabling users from around the world to run an accelerator remotely. Questions around this subject that immediately come to mind Is the GAN only relevant to big labs ? Or is it reasonable e.g. for operators or engineers in charge to do certain manipulations from home? Are our instruments ready for the GAN? Does the fact of being “GAN ready” increa...

  5. Applications of cellular systems biology in breast cancer patient stratification and diagnostics.

    Science.gov (United States)

    Critchley-Thorne, Rebecca J; Miller, Steven M; Taylor, D Lansing; Lingle, Wilma L

    2009-11-01

    Tumors are complex structures of malignant cells and stromal cells that function as an integrated system that promotes tumor progression. Immune cells and other stromal components serve vital cooperative functions that often support tumor growth and metastasis; stromal content and function are strongly associated with disease progression and clinical outcome in cancer patients. Cellular systems biology considers tissues and tumors, and the cells within them, as integrated and interactive networks that function in concert as a system. Assessment of tumors as a "system" within the system of a patient using the cellular systems biology approach has the potential to improve on the current diagnostic tools for breast cancer by creating high content profiles of an individual patient's tumor. The application of cellular systems biology (CSB) profiling to early drug discovery using cellular models of disease [1] and to drug development using the CellCiphr Cytotoxicity Profiling panels [2] can optimize the efficacy and decrease the potential toxicity of compounds taken into pre-clinical trials. However, it has become clear that patient sub-populations can respond differently to drug candidates in clinical trials due to patient variability. Therefore, cellular systems biology can also be a powerful approach to patient stratification for clinical trials and could become an important diagnostic tool. This review describes how the cellular systems biology approach can be applied to patient stratification and diagnostics in breast cancer, focusing on the advantages of quantifying functional biomarkers representing key tumor system processes in intact tissues from patients in order to make highly specific and sensitive predictions towards development of individualized medicine for breast cancer. We discuss the state-of-the-art of multiplexing of functional biomarkers in tissues and the practical utilization of the cellular systems biology approach in creating classifiers for

  6. ELECTRICALLY CONDUCTIVE OF NANOCOMPOSITES FOR SYSTEMS DIAGNOSTICS OF THE ENVELOPE WALLS TECHNICAL CONDITION OF NPP

    Directory of Open Access Journals (Sweden)

    BOLSHAKOV V. I.

    2016-05-01

    Full Text Available Raising of the problem. Enveloped concrete wall type structures of localizing safety systems for restaint and localization of radioactive decay products or in the case of special natural or man-made impacts on the power unit is one of the most important components to ensure the safety of nuclear power. The promising direction for the development of the NPP technical system monitoring is to use conductive nanocomposites as primary elements of information. The purpose of the article is to review the theoretical background and experience in the conductive nanocomposites creating for diagnostics of localizing nuclear safety systems. Conclusions. A promising area for the development of diagnostic systems of localizing nuclear safety systems is the use of electrically conductive nanocomposites (conductive concrete - bethels, plasters, paint coatings. A mechanism for conductive nanocomposites creating is the use of the filler metal and carbon nanoparticles. As binders is promising to use nanocomposites of the mineral binders (cement and water glass.

  7. On-Line Partial Discharge Monitoring and Diagnostic System for Power Transformer

    Institute of Scientific and Technical Information of China (English)

    LIN Du; JIANG Lei; LI Fuqi; ZHU Deheng; TAN Kexiong; WU Chengqi; JIN Xianhe; WANG Changchang; CHENG T. C.

    2005-01-01

    This paper introduces a computerized on-line partial discharge (PD) monitoring and diagnostic system for transformers. The system, which is already in use in a power station, uses wide-band active transducers and a data acquisition unit with modularized and exchangeable components. The system software is a power equipment monitoring and diagnostic system, which is based on the component object model, and was developed for monitoring multiple parameters in multiple power supply systems. The statistical characteristics of PDs in power transformers were studied using 7 experimental models for simulating PDs in transformers and 3 models for simulating interfering discharges in air. The discharge features were analyzed using a 3-D pattern chart with a three-layer back-propagation artificial neural network used to recognize the patterns. The results show that PDs in air and oil can be distinguished. The model can be used for interference rejection on-line monitoring of partial discharge in transformers.

  8. Diagnostic and Therapeutic Challenges in a Liver Transplant Recipient with Central Nervous System Invasive Aspergillosis

    Science.gov (United States)

    Dionissios, Neofytos; Shmuel, Shoham; Kerry, Dierberg; Katharine, Le; Simon, Dufresne; Sean, Zhang X; Kieren, Marr A

    2012-01-01

    This is a case report of central nervous system (CNS) invasive aspergillosis (IA) in a liver transplant recipient, which illustrates the utility of enzyme-based diagnostic tools for the timely and accurate diagnosis of IA, the treatment challenges and poor outcomes associated with CNS IA in liver transplant recipients. PMID:22676861

  9. Organisation of the life circle with account of the diagnostic system

    Directory of Open Access Journals (Sweden)

    G. A. Mirskikh

    2008-05-01

    Full Text Available It is shown, that at organization of life cycle of the radioelectronic device it is expedient to consider it as a subsystem, which is included into structure of the integrated system along-side with a subsystem carrying out function of diagnostics

  10. A participatory diagnostic study of the oil palm (Elaeis guineensis) seed system in Benin

    NARCIS (Netherlands)

    Akpo, E.; Vissoh, P.V.; Tossou, R.C.; Crane, T.; Kossou, D.K.; Richards, P.; Stomph, T.J.; Struik, P.C.

    2012-01-01

    A participatory diagnostic study of the oil palm (Elaeis guineensis Jacq.) seed system (OPSS) was conducted along a gradient of rainfall and distance to the oil palm research centre across the oil palm growing belt of Benin. The objective was to identify, jointly with key actors, the constraints in

  11. Biomedical visual data analysis to build an intelligent diagnostic decision support system in medical genetics.

    Science.gov (United States)

    Kuru, Kaya; Niranjan, Mahesan; Tunca, Yusuf; Osvank, Erhan; Azim, Tayyaba

    2014-10-01

    In general, medical geneticists aim to pre-diagnose underlying syndromes based on facial features before performing cytological or molecular analyses where a genotype-phenotype interrelation is possible. However, determining correct genotype-phenotype interrelationships among many syndromes is tedious and labor-intensive, especially for extremely rare syndromes. Thus, a computer-aided system for pre-diagnosis can facilitate effective and efficient decision support, particularly when few similar cases are available, or in remote rural districts where diagnostic knowledge of syndromes is not readily available. The proposed methodology, visual diagnostic decision support system (visual diagnostic DSS), employs machine learning (ML) algorithms and digital image processing techniques in a hybrid approach for automated diagnosis in medical genetics. This approach uses facial features in reference images of disorders to identify visual genotype-phenotype interrelationships. Our statistical method describes facial image data as principal component features and diagnoses syndromes using these features. The proposed system was trained using a real dataset of previously published face images of subjects with syndromes, which provided accurate diagnostic information. The method was tested using a leave-one-out cross-validation scheme with 15 different syndromes, each of comprised 5-9 cases, i.e., 92 cases in total. An accuracy rate of 83% was achieved using this automated diagnosis technique, which was statistically significant (pdiagnostic DSSs to that described in the present study, i.e., visual diagnostic DSS, thereby demonstrating the benefits of using hybrid image processing and ML-based computer-aided diagnostics for identifying facial phenotypes. Copyright © 2014. Published by Elsevier B.V.

  12. Diagnostic Value of Saliva in Oral and Systemic Diseases: A Literature Rewiew

    Directory of Open Access Journals (Sweden)

    Sérgio Adriane Bezerra de MOURA

    2007-05-01

    Full Text Available Introduction: The value of saliva as a diagnostic resource of oral and systemic diseases has been object of study of several researchers that intend to add a possible complementary examination. The analysis of saliva, as analyses based on the use of blood, has two goals: first, to identify individuals with disease, and second, to follow the evolution of the affected individual, evaluating the effectiveness of the treatment. Among the advantages of the use of this resource, it may be mentioned ease of material collection and handing, which are important points in the technical operationalization of this type of examination. Saliva can be useful in the evaluation of caries risk as well as in the diagnosis of other diseases by means of syalometric and syalochemical methods (flow salivary. These methods allow that substances are dosed and thus contribute to the diagnosis of diseases from the assessment of the levels of inorganic and organic elements, such as hormonal dosages, analysis of biological, viral, bacterial and fungal agents, in addition to bacterial markers that are useful in cancer diagnosis and prognosis. It is necessary to consider a hierarchical model used for diagnostic evaluation of the technology, which consists in five basic levels of analysis in which the efficacy of the entire diagnostic test should be evaluated: the analytical, which considers the accuracy and exactness; the diagnostic sensitivity and specificity; the efficacy of the result for the patient based on the medical decision making; the operational evaluation, which considers the predictive value and the test efficiency; and the cost/benefit.Purpose: To perform an ample literature review on the use of saliva as a diagnostic resource of diseases and monitoring of oral and systemic health.Conclusion: The advances in the studies of diagnostic methods that use saliva as a biological mean for diagnosis and surveillance of oral and systemic conditions present promising

  13. Picture archiving and communication systems (PACS) of dynamic image processing for cardiologic diagnostics of transportation workers

    Science.gov (United States)

    Gnedenko, Valeri G.; Ioseliani, D. G.; Nikiforov, S. N.; Fainberg, Evgeny M.

    2002-04-01

    Picture Archiving and Communication Systems (PACS) are the most perspective branch of medical technologies development. One of the most mass, cheap and effective methods of diagnostics and treatment of cardio-vascular diseases is interventional cardiology based on angiologic procedures. The principal difference of PACS for interventional cardiology is in necessity of gaining, analysis and archiving of dynamic images (angiology scenes). Russian Research Center > has developed and successfully implemented the first Russian PACS for interventional cardiology - complex for diagnostics, monitoring and treatment of cardio-vascular disease > which is described later in the article.

  14. Assessing Leg length Discrepancy Using a Biplane Low Dose Imaging System. A Comparative Diagnostic Study

    DEFF Research Database (Denmark)

    Jensen, Janni; Mussmann, Bo Redder; Torfing, Trine

    study was to evaluate the diagnostic accuracy of leg length (LL) measurements performed on low dose pre-view images acquired using a new bi-planar imaging system. The administered radiation dose from the pre-view image is approximately 20,17μGycm2 vs. 2670μGycm2 when acquiring the diagnostic image......Purpose. The etiology of leg length discrepancy (LLD) is multiple and children with LLD often undergo repetitive radiographic assessment and monitoring, stressing the need for a reliable measuring tool whilst administering as little radiation to the child as possible. The aim of this retrospective...

  15. Infant Hip Joint Diagnostic Support System Based on Clinical Manifestations in X-ray Images

    Directory of Open Access Journals (Sweden)

    Honda,Mitsugi

    2010-06-01

    Full Text Available Plain X-ray radiography is frequently used for the diagnosis of developmental dislocation of the hip (DDH. The aim of this study was to construct a diagnostic support system for DDH based on clinical findings obtained from the X-ray images of 154 female infants with confirmed diagnoses made by orthopedists. The data for these subjects were divided into 2 groups. The Min-Max method of nonlinear analysis was applied to the data from Group 1 to construct the diagnostic support system based on the measurement of 4 items in X-ray images:the outward displacement rate, upward displacement rate, OE angle, and alpha angle. This system was then applied to the data from Group 2, and the results were compared between the 2 groups to verify the reliability of the system. We obtained good results that matched the confirmed diagnoses of orthopedists with an accuracy of 85.9%.

  16. [Validation of a diagnostic scoring system (Ohmann score) in acute appendicitis].

    Science.gov (United States)

    Zielke, A; Sitter, H; Rampp, T A; Schäfer, E; Hasse, C; Lorenz, W; Rothmund, M

    1999-07-01

    A diagnostic scoring system, recently published by Ohmann et al. in this journal, was validated by analyzing the clinicopathological data of a consecutive series of 2,359 patients, admitted for suspicion of acute appendicitis. The results of the scoring system were compared to the results of clinical evaluation by junior (provisional) and senior surgeons (final clinical diagnosis). To assess the diagnostic ability of the score, the accuracy and positive predictive value were defined as the major diagnostic performance parameters; the rate of theoretical negative laparotomies and that of diagnostic errors served as the major procedural performance parameters. Of 2,359 patients admitted for suspected acute appendicitis, 662 were proven to have acute appendicitis by histology, for a prevalence of 28%. The overall sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the provisional clinical diagnosis were 0.50, 0.94, 0.77, 0.83, and 0.82; 0.93, for the score 0.63, 0.93, 0.77, 0.86 and 0.84, and for the final clinical diagnosis 0.90, 0.94, 0.85, 0.96, and 0.93, respectively. Of the main diagnostic performance parameter, the accuracy of the score was significantly better than that of provisional clinical diagnosis (P apendicitis, the score demonstrated a superior performance, with only 6 cases missed (0.9%). However, the number of patients with acute appendicitis, including those with perforated disease, who were not identified by the score, was almost four times that of the final clinical diagnosis (245 vs 63). With regard to the main procedural performance parameter, the score resulted in a significantly smaller number of diagnostic errors than the provisional clinical investigator (P < 0.05, chi 2 test). The results of this study indicate that the diagnostic scoring system might be helpful when experienced investigators or additional diagnostic modalities such as ultrasonography are not available. It may therefore be of value

  17. A Study of Laser System Requirements for Application in Beam Diagnostics And Polarimetry at the ILC

    Energy Technology Data Exchange (ETDEWEB)

    Dixit, S.; Delerue, N.; Foster, B.; Howell, D.F.; Peach, K.; Quelch, G.; Qureshi, M.; Reichold, A.; /Oxford U.; Hirst, G.; Ross, I.; /Rutherford; Urakawa, J.; /KEK,; Soskov, V.; Variola, A.; Zomer, F.; /Orsay, LAL; Blair, G.A.; Boogert, S.T.; Boorman, G.; Bosco, A.; Driouichi, C.; Karataev, P.; /Royal Holloway, U. of London; Brachmann,; /SLAC

    2007-02-12

    Advanced laser systems will be essential for a range of diagnostics devices and polarimetry at the ILC. High average power, high beam quality, excellent stability and reliability will be crucial in order to deliver the information required to attain the necessary ILC luminosity as well as for efficient polarimetry. The key parameters are listed together with the R & D required to achieve the necessary laser system performance.

  18. Salivary biomarkers : diagnostic potential in oral and systemic diseases in epidemiological surveys

    OpenAIRE

    Rathnayake,Nilminie

    2014-01-01

    Human saliva is a fluid with many biological functions, and essential for the maintenance of oral health. Several studies report local and systemic biomarkers appearing in saliva, including electrolytes, blood products, enzymes and tissue destruction molecules, inflammatory markers as well as proteins putatively associated with different diseases. However, the clinical utility of salivary diagnostics for the assessment of oral and systemic disease remains elusive. The general aim of this proj...

  19. A Multi-Expert Approach for Developing Testing and Diagnostic Systems Based on the Concept-Effect Model

    Science.gov (United States)

    Panjaburee, Patcharin; Hwang, Gwo-Jen; Triampo, Wannapong; Shih, Bo-Ying

    2010-01-01

    With the popularization of computer and communication technologies, researchers have attempted to develop computer-assisted testing and diagnostic systems to help students improve their learning performance on the Internet. In developing a diagnostic system for detecting students' learning problems, it is difficult for individual teachers to…

  20. [Primary malignant melanoma of the central nervous system: A diagnostic challenge].

    Science.gov (United States)

    Quillo-Olvera, Javier; Uribe-Olalde, Juan Salvador; Alcántara-Gómez, Leopoldo Alberto; Rejón-Pérez, Jorge Dax; Palomera-Gómez, Héctor Guillermo

    2015-01-01

    The rare incidence of primary malignant melanoma of the central nervous system and its ability to mimic other melanocytic tumors on images makes it a diagnostic challenge for the neurosurgeon. A 51-year-old patient, with a tumor located in the right forniceal callosum area. Total surgical excision was performed. Histopathological result was consistent with the diagnosis of primary malignant melanoma of the central nervous system, after ruling out extra cranial and extra spinal melanocytic lesions. The primary malignant melanoma of the central nervous system is extremely rare. There are features in magnetic resonance imaging that increase the diagnostic suspicion; nevertheless there are other tumors with more prevalence that share some of these features through image. Since there is not an established therapeutic standard its prognosis is discouraging. Copyright © 2015 Academia Mexicana de Cirugía A.C. Published by Masson Doyma México S.A. All rights reserved.

  1. Data Processing and Acquisition System for the HT-7 Multipulse Thomson Scattering Diagnostic

    Institute of Scientific and Technical Information of China (English)

    陈卓天; 赵君煜; 方自深; 李亚东; 杨利

    2003-01-01

    This article describes the data processing and acquisition system for the HT-7 mul-tipulse Thomson scattering diagnostic. An eight-pulse laser is used in the Thomson scatteringsystem to obtain electron temperature profiles at eight different times throughout an entire plasmadischarge. The major components of the diagnostic system consist of a multipulse Nd-glass laser,system. The data processing software along with LeCroy 2250L will perform the data acquisition.In order to simplify the operation and extend the capability of its compatibility with other mathsoftwares, the processing software has been improved by the authors. The new software based onthe VC++ easily utilizes some math softwares to calculate the electron temperature. The newsoftware is simpler and more operational than the old one.

  2. Assessment of radiological protection systems among diagnostic radiology facilities in North East India.

    Science.gov (United States)

    Singh, Thokchom Dewan; Jayaraman, T; Arunkumar Sharma, B

    2017-03-01

    This study aims to assess the adequacy level of radiological protection systems available in the diagnostic radiology facilities located in three capital cities of North East (NE) India. It further attempts to understand, using a multi-disciplinary approach, how the safety codes/standards in diagnostic radiology framed by the Atomic Energy Regulatory Board (AERB) and the International Atomic Energy Agency (IAEA) to achieve adequate radiological protection in facilities, have been perceived, conceptualized, and applied accordingly in these facilities. About 30 diagnostic radiology facilities were randomly selected from three capitals of states in NE India; namely Imphal (Manipur), Shillong (Meghalaya) and Guwahati (Assam). A semi-structured questionnaire developed based on a multi-disciplinary approach was used for this study. It was observed that radiological practices undertaken in these facilities were not exactly in line with safety codes/standards in diagnostic radiology of the AERB and the IAEA. About 50% of the facilities had registered/licensed x-ray equipment with the AERB. More than 80% of the workers did not use radiation protective devices, although these devices were available in the facilities. About 85% of facilities had no institutional risk management system. About 70% of the facilities did not carry out periodic quality assurance testing of their x-ray equipment or surveys of radiation leakage around the x-ray room, and did not display radiation safety indicators in the x-ray rooms. Workers in these facilities exhibited low risk perception about the risks associated with these practices. The majority of diagnostic radiology facilities in NE India did not comply with the radiological safety codes/standards framed by the AERB and IAEA. The study found inadequate levels of radiological protection systems in the majority of facilities. This study suggests a need to establish firm measures that comply with the radiological safety codes/standards of the

  3. OpenID connect as a security service in Cloud-based diagnostic imaging systems

    Science.gov (United States)

    Ma, Weina; Sartipi, Kamran; Sharghi, Hassan; Koff, David; Bak, Peter

    2015-03-01

    The evolution of cloud computing is driving the next generation of diagnostic imaging (DI) systems. Cloud-based DI systems are able to deliver better services to patients without constraining to their own physical facilities. However, privacy and security concerns have been consistently regarded as the major obstacle for adoption of cloud computing by healthcare domains. Furthermore, traditional computing models and interfaces employed by DI systems are not ready for accessing diagnostic images through mobile devices. RESTful is an ideal technology for provisioning both mobile services and cloud computing. OpenID Connect, combining OpenID and OAuth together, is an emerging REST-based federated identity solution. It is one of the most perspective open standards to potentially become the de-facto standard for securing cloud computing and mobile applications, which has ever been regarded as "Kerberos of Cloud". We introduce OpenID Connect as an identity and authentication service in cloud-based DI systems and propose enhancements that allow for incorporating this technology within distributed enterprise environment. The objective of this study is to offer solutions for secure radiology image sharing among DI-r (Diagnostic Imaging Repository) and heterogeneous PACS (Picture Archiving and Communication Systems) as well as mobile clients in the cloud ecosystem. Through using OpenID Connect as an open-source identity and authentication service, deploying DI-r and PACS to private or community clouds should obtain equivalent security level to traditional computing model.

  4. Improving diagnostic accuracy using agent-based distributed data mining system.

    Science.gov (United States)

    Sridhar, S

    2013-09-01

    The use of data mining techniques to improve the diagnostic system accuracy is investigated in this paper. The data mining algorithms aim to discover patterns and extract useful knowledge from facts recorded in databases. Generally, the expert systems are constructed for automating diagnostic procedures. The learning component uses the data mining algorithms to extract the expert system rules from the database automatically. Learning algorithms can assist the clinicians in extracting knowledge automatically. As the number and variety of data sources is dramatically increasing, another way to acquire knowledge from databases is to apply various data mining algorithms that extract knowledge from data. As data sets are inherently distributed, the distributed system uses agents to transport the trained classifiers and uses meta learning to combine the knowledge. Commonsense reasoning is also used in association with distributed data mining to obtain better results. Combining human expert knowledge and data mining knowledge improves the performance of the diagnostic system. This work suggests a framework of combining the human knowledge and knowledge gained by better data mining algorithms on a renal and gallstone data set.

  5. A Turbidity Test Based Centrifugal Microfluidics Diagnostic System for Simultaneous Detection of HBV, HCV, and CMV

    Directory of Open Access Journals (Sweden)

    Hung-Cheng Chang

    2015-01-01

    Full Text Available This paper presents a LAMP- (loop-mediated isothermal amplification- based lab-on-disk optical system that allows the simultaneous detection of hepatitis B virus, hepatitis C virus, and cytomegalovirus. The various flow stages are controlled in the proposed system using different balance among centrifugal pumping, Coriolis pumping, and the capillary force. We have implemented a servo system for positioning and speed control for the heating and centrifugal pumping. We have also successfully employed a polymer light-emitting diode section for turbidity detection. The easy-to-use one-click system can perform diagnostics in less than 1 hour.

  6. Design of Multi-faults Diagnostic System%含故障模式的诊断系统设计

    Institute of Scientific and Technical Information of China (English)

    张学农; 陈蔼祥; 张立成

    2013-01-01

    This paper presented framework of diagnostic models and diagnostic systems,and discussed two important properties,sound and complete that describe the power of a diagnostic system.For designing a diagnostic system,a set of models were selected to be tested such that a diagnostic system based on these tests is sound and complete,then tests were designed for all selected model to obtain a diagnostic system.Finally,the equivalence between diagnostic system using tests and the model-based diagnostic system was proved.%为基于模型的诊断系统设计建立了一个基本理论框架.以系统模型为基础,生成一组诊断测试,并以之代替系统模型而建立了一个基于测试的诊断系统.从完备和可靠性两方面证明了以测试为基础的诊断系统的诊断能力与基于一致性的诊断系统是相同的.

  7. The video fluorescent device for diagnostics of cancer of human reproductive system

    Science.gov (United States)

    Brysin, Nickolay N.; Linkov, Kirill G.; Stratonnikov, Alexander A.; Savelieva, Tatiana A.; Loschenov, Victor B.

    2008-06-01

    Photodynamic therapy (PDT) is one of the advanced methods of treatment of skin cancer and surfaces of internal organs. The basic advantages of PDT are high efficiency and low cost of treatment. PDT technique is needed for providing fluorescent diagnostics. Laser-based systems are widely applied to the fluorescence excitations for diagnostic because of a narrow spectrum of fluorescence excitation and high density of radiation. Application of laser systems for carrying out fluorescent diagnostics gives the image of a tumor distorted by speckles that does not give an opportunity to obtain full information about the form of a tumor quickly. Besides, these laser excitation systems have complicated structure and high cost. As a base for the development and creation of a video fluorescent device one of commercially produced colposcopes was chosen. It allows to decrease cost of the device, and also has enabled to make modernization for already used colposcopes. A LED-based light source was offered to be used for fluorescence excitation in this work. The maximum in a spectrum of radiation of LEDs corresponds to the general spectral maximum of protoporphyrin IX (PPIX) absorption. Irradiance in the center of a light spot is 31 mW/cm2. The receiving optical system of the fluorescent channel is adjusted at 635 nm where a general spectral maximum of fluorescence PPIX is located. Also the device contains a RGB video channel, a white light source and a USB spectrometer LESA-01-BIOSPEC, for measurement of spectra of fluorescence and diffusion reflections in treatment area. The software is developed for maintenance of the device. Some studies on laboratory animals were made. As a result, areas with the increased concentration of a PPIX were correctly detected. At present, the device is used for diagnostics of cancer of female reproductive system in Research Centre for Obstetrics, Gynecology and Perinatology of the Russian Academy of Medical Sciences (Moscow, Russia).

  8. MCNPX simulations of fast neutron diagnostics for accelerator-driven systems

    Energy Technology Data Exchange (ETDEWEB)

    Habob, Moinul

    2005-12-15

    In accelerator-driven systems, the neutron spectrum will extend all the way up to the incident beam energy, i.e., several hundred MeV or even up to GeV energies. The high neutron energy allows novel diagnostics with a set of measurement techniques that can be used in a sub-critical reactor environment. Such measurements are primarily connected to system safety and validation. This report shows that in-core fast-neutron diagnostics can be employed to monitor changes in the position of incidence of the primary proton beam onto the neutron production target. It has also been shown that fast neutrons can be used to detect temperature-dependent density changes in a liquid lead-bismuth target. Fast neutrons can escape the system via the beam pipe for the incident proton beam. Out-of-core monitoring of these so called back-streaming neutrons could potentially be used to monitor beam changes if the target has a suitable shape. Moreover, diagnostics of back-streaming neutrons might be used for validation of the system design.

  9. Diagnostic system for identification of accident scenarios in nuclear power plants using artificial neural networks

    Energy Technology Data Exchange (ETDEWEB)

    Santosh, T.V. [Health, Safety and Environment Group, Bhabha Atomic Research Centre, Trombay, Mumbai 400 085 (India)], E-mail: santutv@barc.gov.in; Srivastava, A.; Sanyasi Rao, V.V.S.; Ghosh, A.K.; Kushwaha, H.S. [Health, Safety and Environment Group, Bhabha Atomic Research Centre, Trombay, Mumbai 400 085 (India)

    2009-03-15

    This paper presents the work carried out towards developing a diagnostic system for the identification of accident scenarios in 220 MWe Indian PHWRs. The objective of this study is to develop a methodology based on artificial neural networks (ANNs), which assists in identifying a transient quickly and suggests the operator to initiate the corrective actions during abnormal operations of the reactor. An operator support system, known as symptom-based diagnostic system (SBDS), has been developed using ANN that diagnoses the transients based on reactor process parameters, and continuously displays the status of the reactor. As a pilot study, the large break loss of coolant accident (LOCA) with and without the emergency core cooling system (ECCS) in reactor headers has been considered. Several break scenarios of large break LOCA have been analyzed. The time-dependent transient data have been generated using the RELAP5 thermal hydraulic code assuming an equilibrium core, which conforms to a realistic estimation. The diagnostic results obtained from the ANN study are satisfactory. These results have been incorporated in the SBDS software for operator assistance. A few important outputs of the SBDS have been discussed in this paper.

  10. Experimental analysis of a novel and low-cost pin photodiode dosimetry system for diagnostic radiology

    Energy Technology Data Exchange (ETDEWEB)

    Nazififard, Mohammad, E-mail: nazifi@kashanu.ac.ir; Mahmoudieh, Afshin [Department of Energy Systems Engineering, Energy Research Institute, University of Kashan, Kashan (Iran, Islamic Republic of); Suh, Kune Y. [Seoul National University, 1 Gwanak Ro, Gwanak Gu, Seoul 151-744 (Korea, Republic of)

    2016-07-15

    Silicon PIN photodiode has recently found broad and exciting applications in the ionizing radiation dosimetry. In this study a compact and novel dosimetry system using a commercially available PIN photodiode (BPW34) has been experimentally tested for diagnostic radiology. The system was evaluated with clinical beams routinely used for diagnostic radiology and calibrated using a secondary reference standard. Measured dose with PIN photodiode (Air Kerma) varied from 10 to 430 μGy for tube voltages from 40 to 100 kVp and tube current from 0.4 to 40 mAs. The minimum detectable organ dose was estimated to be 10 μGy with 20% uncertainty. Results showed a linear correlation between the PIN photodiode readout and dose measured with standard dosimeters spanning doses received. The present dosimetry system having advantages of suitable sensitivity with immediate readout of dose values, low cost, and portability could be used as an alternative to passive dosimetry system such as thermoluminescent dosimeter for dose measurements in diagnostic radiology.

  11. Experimental analysis of a novel and low-cost pin photodiode dosimetry system for diagnostic radiology

    Science.gov (United States)

    Nazififard, Mohammad; Suh, Kune Y.; Mahmoudieh, Afshin

    2016-07-01

    Silicon PIN photodiode has recently found broad and exciting applications in the ionizing radiation dosimetry. In this study a compact and novel dosimetry system using a commercially available PIN photodiode (BPW34) has been experimentally tested for diagnostic radiology. The system was evaluated with clinical beams routinely used for diagnostic radiology and calibrated using a secondary reference standard. Measured dose with PIN photodiode (Air Kerma) varied from 10 to 430 μGy for tube voltages from 40 to 100 kVp and tube current from 0.4 to 40 mAs. The minimum detectable organ dose was estimated to be 10 μGy with 20% uncertainty. Results showed a linear correlation between the PIN photodiode readout and dose measured with standard dosimeters spanning doses received. The present dosimetry system having advantages of suitable sensitivity with immediate readout of dose values, low cost, and portability could be used as an alternative to passive dosimetry system such as thermoluminescent dosimeter for dose measurements in diagnostic radiology.

  12. Ontology-Oriented Diagnostic System for Traditional Chinese Medicine Based on Relation Refinement

    Directory of Open Access Journals (Sweden)

    Peiqin Gu

    2013-01-01

    Full Text Available Although Chinese medicine treatments have become popular recently, the complicated Chinese medical knowledge has made it difficult to be applied in computer-aided diagnostics. The ability to model and use the knowledge becomes an important issue. In this paper, we define the diagnosis in Traditional Chinese Medicine (TCM as discovering the fuzzy relations between symptoms and syndromes. An Ontology-oriented Diagnosis System (ODS is created to address the knowledge-based diagnosis based on a well-defined ontology of syndromes. The ontology transforms the implicit relationships among syndromes into a machine-interpretable model. The clinical data used for feature selection is collected from a national TCM research institute in China, which serves as a training source for syndrome differentiation. The ODS analyzes the clinical cases to obtain a statistical mapping relation between each syndrome and associated symptom set, before rechecking the completeness of related symptoms via ontology refinement. Our diagnostic system provides an online web interface to interact with users, so that users can perform self-diagnosis. We tested 12 common clinical cases on the diagnosis system, and it turned out that, given the agree metric, the system achieved better diagnostic accuracy compared to nonontology method—92% of the results fit perfectly with the experts’ expectations.

  13. [Mobile phone based data acquisition and evaluation system for the alternative four diagnostic methods of traditional Chinese medicine].

    Science.gov (United States)

    Yang, Jun; Liu, Jing; Liu, Ran

    2013-01-01

    This study is dedicated to integrate the theories of the four diagnostic methods of TCM and the methods of mobile healthcare so as to achieve the goal of the four diagnostic functions of TCM on mobile phone. An Android smartphone based data acquisition system has been developed and experimentally demonstrated. It was shown that the prototype could successfully achieve the fundamental function of the four diagnostic methods of TCM and thus help preliminarily interpret the symptoms of human diseases.

  14. The resources of neurophysiological methods for diagnostic localization of nervous system lesion in children’s neuroinfections

    Directory of Open Access Journals (Sweden)

    V. N. Komantsev

    2010-01-01

    Full Text Available The algorithms of neurophysiological diagnostic of impairment localization of nervous system in acute phase of neuroinfection in children were elaborated. The combined some EMG and evoked potentials methods were reliable for diagnostic botulism, polyneuropathy, mononeuropathy, polyradiculopathy, poliomyelitis, inflammation myelopathy, myelitis, meningitis, encephalitis. The reliability of neuriphysiologic diagnostic was 81–93%.

  15. [Diagnostic image management and communication systems: experience at the University of Pisa].

    Science.gov (United States)

    Caramella, D; Del Sarto, M; Bartolozzi, C; Beltrame, F; Sobel, I

    1995-01-01

    Our work was aimed at implementing and validating a system for the acquisition, local management and remote transmission of diagnostic images. Integration of imaging equipment was performed in each of the two sites (5 km apart) in which the Department of Radiology of the University of Pisa is divided. Teleradiology was carried out using 64 Kbit/s lines as well as a 140 Mbit/s Metropolitan Area Network compliant with the Distributed Queue Dual Bus standard. Application domains included remote expert consultation and teleprocessing of diagnostic images. Remote expert consultation was performed in particular by using the 34 Mbit/s interconnection with the Metropolitan Area Network of Florence. Remote processing of diagnostic images using the high speed link allowed the cooperative work with scientific institutions in a field often limited by the complexity of image transfer and by the lack of a timely feed-back concerning the clinical value of processed images. Advanced processing of diagnostic images was performed in the field of stereographic display of CT and MR data sets. Moreover, experience was gained in the visualization, on a single composite image, of the multiparametric data obtained by means of different MR sequences (T1, Spin Density, T2), thus allowing to summarize, by using false colors, different tissue contrast information.

  16. A diagnostic system for electrical faults in a high current discharge plasma setup.

    Science.gov (United States)

    Nigam, S; Aneesh, K; Navathe, C P; Gupta, P D

    2011-02-01

    A diagnostic system to detect electrical faults inside a coaxial high current discharge device is presented here. This technique utilizes two biconical antennas picking up electromagnetic radiation from the discharge device, a voltage divider sensing input voltage, and a Rogowski coil measuring the main discharge current. A computer program then analyses frequency components in these signals and provides information as to whether the discharge event was normal or any breakdown fault occurred inside the coaxial device. The diagnostic system is developed for a 450 kV and 50 kA capillary discharge plasma setup. For the setup various possible faults are analyzed by electrical simulation, followed by experimental results. In the case of normal discharge through the capillary load the dominant frequency is ∼4 MHz. Under faulty conditions, the peak in magnitude versus frequency plot of the antenna signal changes according to the fault position which involves different paths causing variation in the equivalent circuit elements.

  17. Mismatch between diagnostic reports and special educational needs classification in a public educational system.

    Science.gov (United States)

    Teixeira, Maria Cristina Triguero Veloz; Brunoni, Décio; Carreiro, Luiz Renato Rodrigues; Braga, Ana Claudia; Silva, Naiara Adorna da; Paula, Cristiane Silvestre

    2017-04-01

    To assess the diagnostic status, the sociodemographic and health profiles for students with special educational needs (SEN) in a public educational system, and to map their use of educational/social services. The sample comprised 1,202 SEN students from a total of 59,344 students. Only 792 students of the 1,202 had an established diagnosis. The most prevalent SEN condition was intellectual disability. There was a low percentage (29.4%) of use of specialized educational services or support. It was found that, for some neurodevelopmental disorders, prevalence data suggest an under-reporting in the school system. Results suggest that there is a mismatch between the diagnostic reports and the SEN condition legally recognized according to Brazilian law, in addition to the under-reporting and under specialized service use of students with disabilities.

  18. Systems approaches in osteoarthritis: Identifying routes to novel diagnostic and therapeutic strategies.

    Science.gov (United States)

    Mueller, Alan J; Peffers, Mandy J; Proctor, Carole J; Clegg, Peter D

    2017-03-20

    Systems orientated research offers the possibility of identifying novel therapeutic targets and relevant diagnostic markers for complex diseases such as osteoarthritis. This review demonstrates that the osteoarthritis research community has been slow to incorporate systems orientated approaches into research studies, although a number of key studies reveal novel insights into the regulatory mechanisms that contribute both to joint tissue homeostasis and its dysfunction. The review introduces both top-down and bottom-up approaches employed in the study of osteoarthritis. A holistic and multiscale approach, where clinical measurements may predict dysregulation and progression of joint degeneration, should be a key objective in future research. The review concludes with suggestions for further research and emerging trends not least of which is the coupled development of diagnostic tests and therapeutics as part of a concerted effort by the osteoarthritis research community to meet clinical needs. This article is protected by copyright. All rights reserved.

  19. A diagnostic system for electrical faults in a high current discharge plasma setup

    Science.gov (United States)

    Nigam, S.; Aneesh, K.; Navathe, C. P.; Gupta, P. D.

    2011-02-01

    A diagnostic system to detect electrical faults inside a coaxial high current discharge device is presented here. This technique utilizes two biconical antennas picking up electromagnetic radiation from the discharge device, a voltage divider sensing input voltage, and a Rogowski coil measuring the main discharge current. A computer program then analyses frequency components in these signals and provides information as to whether the discharge event was normal or any breakdown fault occurred inside the coaxial device. The diagnostic system is developed for a 450 kV and 50 kA capillary discharge plasma setup. For the setup various possible faults are analyzed by electrical simulation, followed by experimental results. In the case of normal discharge through the capillary load the dominant frequency is ˜4 MHz. Under faulty conditions, the peak in magnitude versus frequency plot of the antenna signal changes according to the fault position which involves different paths causing variation in the equivalent circuit elements.

  20. Spontaneous Raman Scattering Diagnostics: Applications in Practical Combustion Systems. Chapter 5

    Science.gov (United States)

    Kojima, Jun; Viet-Nguyen, Quang; Lackner, Maximilian (Editor); Winter, Franz (Editor); Agarwal, Avinash (Editor)

    2010-01-01

    In this chapter, the recent advancements and practical aspects of laser SRS diagnostics have been reviewed wi til regards to applications in practical combustion systems. Clearly, SRS represents a theoretically and experimentally mature diagnostic technology that has become an essential tool for multiscalar measurements in turbulent combustion at elevated pressures. Today, time-, space-, spectrally, and even polarization-resolved S RS diagnostics is at hand, with aid from recent innovations in theoretical and technological developments on electro-optical or electromechanical devices. Whilst a linear increase in SRS signals can be expected in high-pressure systems (this is perhaps one of the most important advantages for using SRS in high-pressure systems), there are practical (often severe) restrictions associated with pressurized vessels, due mainly to the limited degree of optical access. This narrows ti,e available choice of diagnostics that can be employed at any given time. Point-wise SRS diagnostics provides the highest accuracy on the chemical species and temperature measurements, and will continue to remain a vital approach for the study in such harsh environments. The practical design considerations and hands-on set-up guide for SRS diagnostics provided in this chapter are rarely presented elsewhere. Although the second-harmonic Nd:YAG pulsed laser (532 nm), combined with pulse-stretching optics or the recently introduced White Cell-based laser, seems to be the most favored excitation source of choice by the research community, UV excitation will undoubtedly continue to be used on many occasions, and especially in sooting flames. Detection methods may be divided into ICCD-based nanosecond-gate detection or a rotary-chopper electromechanical shutter-based CCD array detection, and the levels of background flame emission in individual cases would determine this critical design choice. Here, a process of Raman signal calibration based on ti,e crosstalk matrix

  1. Control of Multibunch Longitudinal Instabilities and Beam Diagnostics Using a DSP-based Feedback System

    Energy Technology Data Exchange (ETDEWEB)

    Teytelman, Dmitry

    2000-03-30

    A bunch-by-bunch longitudinal feedback system has been designed and built to control coupled-bunch instabilities in the PEP-II machine. A prototype system has been installed at the Advanced Light Source at LBNL. Programmable DSPs allow longitudinal feedback processing in conjunction with data acquisition or instrumentation algorithms. Here the authors describe techniques developed for different beam and system diagnostics, such as measurements of the modal growth and damping rates and measurements of the bunch-by-bunch currents. Results from the Advanced Light Source are presented to illustrate these techniques.

  2. VIA-RAD: a blackboard-based system for diagnostic radiology. Visual Interaction Assistant for Radiology.

    Science.gov (United States)

    Rogers, E

    1995-08-01

    The work described in this article presents an approach to the integration of computer-displayed radiological images with cooperative computerized assistance for decision-making. The VIA-RAD system (Visual Interaction Assistant for Radiology) is a blackboard-based architecture, founded on extensive data collection and analysis in the domain of diagnostic radiology, together with cognitive modeling of the interaction between perception and problem-solving. The details of this system are presented in terms of domain knowledge representation and domain knowledge mapping. A small prototype of the system has been implemented and tested with radiology subjects, and the results of this study are also described.

  3. Commitments of Psychological Contracts and Diagnostic Use of Management Control Systems

    Directory of Open Access Journals (Sweden)

    Ivan Canan

    2016-06-01

    Full Text Available Investigating the commitments the Surveillance Agents from the National Telecommunications Agency (Anatel made in their psychological contracts and the diagnostic use of the management control system of the entity, this study tested the hypothesis that individuals tend to be more committed to aspects they are charged for within organizations. This is a theoretical and empirical study that assumed that the commitments comprise the part of the belief that individuals develop on reciprocal relations of exchange between themselves and their contractors, in line with the model by Rousseau (1989; 1995. It was also assumed that the extent to which aspects are charged from the members of an organization matches their perception of the diagnostic use of formal and informal control systems. Methodologically, the research was developed in two phases, the first qualitative, involving documentary analysis and content analysis of organizational documents; and the second quantitative, with the application of questionnaires answered by individuals who occupy the individual position referred to in the organization, who evaluated behavioral parameters that act on them and that were identified in the first phase. The data showed that 42 respondents tend to maintain high levels of commitment to the rules and standards proposed for their function. Statistical results also suggest that there is a significant positive correlation between the commitments assumed and the perceived diagnostic use of control systems for the surveillance agents who answered the questionnaire.

  4. IGENPRO knowledge-based digital system for process transient diagnostics and management

    Energy Technology Data Exchange (ETDEWEB)

    Morman, J.A.; Reifman, J.; Wei, T.Y.C. [Argonne National Lab., IL (United States)] [and others

    1997-12-31

    Verification and validation issues have been perceived as important factors in the large scale deployment of knowledge-based digital systems for plant transient diagnostics and management. Research and development (R&D) is being performed on the IGENPRO package to resolve knowledge base issues. The IGENPRO approach is to structure the knowledge bases on generic thermal-hydraulic (T-H) first principles and not use the conventional event-basis structure. This allows for generic comprehensive knowledge, relatively small knowledge bases and above all the possibility of T-H system/plant independence. To demonstrate concept feasibility the knowledge structure has been implemented in the diagnostic module PRODIAG. Promising laboratory testing results have been obtained using data from the full scope Braidwood PWR operator training simulator. This knowledge structure is now being implemented in the transient management module PROMANA to treat unanticipated events and the PROTREN module is being developed to process actual plant data. Achievement of the IGENPRO R&D goals should contribute to the acceptance of knowledge-based digital systems for transient diagnostics and management.

  5. About the Big Graphs Arising when Forming the Diagnostic Models in a Reconfigurable Computing Field of Functional Monitoring and Diagnostics System of the Spacecraft Onboard Control Complex

    Directory of Open Access Journals (Sweden)

    L. V. Savkin

    2015-01-01

    Full Text Available One of the problems in implementation of the multipurpose complete systems based on the reconfigurable computing fields (RCF is the problem of optimum redistribution of logicalarithmetic resources in growing scope of functional tasks. Irrespective of complexity, all of them are transformed into an orgraph, which functional and topological structure is appropriately imposed on the RCF based, as a rule, on the field programmable gate array (FPGA.Due to limitation of the hardware configurations and functions realized by means of the switched logical blocks (SLB, the abovementioned problem becomes even more critical when there is a need, within the strictly allocated RCF fragment, to realize even more complex challenge in comparison with the problem which was solved during the previous computing step. In such cases it is possible to speak about graphs of big dimensions with respect to allocated RCF fragment.The article considers this problem through development of diagnostic algorithms to implement diagnostics and control of an onboard control complex of the spacecraft using RCF. It gives examples of big graphs arising with respect to allocated RCF fragment when forming the hardware levels of a diagnostic model, which, in this case, is any hardware-based algorithm of diagnostics in RCF.The article reviews examples of arising big graphs when forming the complicated diagnostic models due to drastic difference in formation of hardware levels on closely located RCF fragments. It also pays attention to big graphs emerging when the multichannel diagnostic models are formed.Three main ways to solve the problem of big graphs with respect to allocated RCF fragment are given. These are: splitting the graph into fragments, use of pop-up windows with relocating and memorizing intermediate values of functions of high hardware levels of diagnostic models, and deep adaptive update of diagnostic model.It is shown that the last of three ways is the most efficient

  6. Millimeter-wave imaging diagnostics systems on the EAST tokamak (invited)

    Energy Technology Data Exchange (ETDEWEB)

    Zhu, Y. L.; Xie, J. L., E-mail: jlxie@ustc.edu.cn; Yu, C. X.; Zhao, Z. L.; Gao, B. X.; Chen, D. X.; Liu, W. D.; Liao, W.; Qu, C. M.; Luo, C. [School of Physics, University of Science and Technology of China, Anhui 230026 (China); Hu, X.; Spear, A. G.; Luhmann, N. C.; Domier, C. W.; Chen, M.; Ren, X. [University of California, Davis, California 95616 (United States); Tobias, B. J. [Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543 (United States)

    2016-11-15

    Millimeter-wave imaging diagnostics, with large poloidal span and wide radial range, have been developed on the EAST tokamak for visualization of 2D electron temperature and density fluctuations. A 384 channel (24 poloidal × 16 radial) Electron Cyclotron Emission Imaging (ECEI) system in F-band (90-140 GHz) was installed on the EAST tokamak in 2012 to provide 2D electron temperature fluctuation images with high spatial and temporal resolution. A co-located Microwave Imaging Reflectometry (MIR) will be installed for imaging of density fluctuations by December 2016. This “4th generation” MIR system has eight independent frequency illumination beams in W-band (75-110 GHz) driven by fast tuning synthesizers and active multipliers. Both of these advanced millimeter-wave imaging diagnostic systems have applied the latest techniques. A novel design philosophy “general optics structure” has been employed for the design of the ECEI and MIR receiver optics with large aperture. The extended radial and poloidal coverage of ECEI on EAST is made possible by innovations in the design of front-end optics. The front-end optical structures of the two imaging diagnostics, ECEI and MIR, have been integrated into a compact system, including the ECEI receiver and MIR transmitter and receiver. Two imaging systems share the same mid-plane port for simultaneous, co-located 2D fluctuation measurements of electron density and temperature. An intelligent remote-control is utilized in the MIR electronics systems to maintain focusing at the desired radial region even with density variations by remotely tuning the probe frequencies in about 200 μs. A similar intelligent technique has also been applied on the ECEI IF system, with remote configuration of the attenuations for each channel.

  7. Millimeter-wave imaging diagnostics systems on the EAST tokamak (invited)

    Science.gov (United States)

    Zhu, Y. L.; Xie, J. L.; Yu, C. X.; Zhao, Z. L.; Gao, B. X.; Chen, D. X.; Liu, W. D.; Liao, W.; Qu, C. M.; Luo, C.; Hu, X.; Spear, A. G.; Luhmann, N. C.; Domier, C. W.; Chen, M.; Ren, X.; Tobias, B. J.

    2016-11-01

    Millimeter-wave imaging diagnostics, with large poloidal span and wide radial range, have been developed on the EAST tokamak for visualization of 2D electron temperature and density fluctuations. A 384 channel (24 poloidal × 16 radial) Electron Cyclotron Emission Imaging (ECEI) system in F-band (90-140 GHz) was installed on the EAST tokamak in 2012 to provide 2D electron temperature fluctuation images with high spatial and temporal resolution. A co-located Microwave Imaging Reflectometry (MIR) will be installed for imaging of density fluctuations by December 2016. This "4th generation" MIR system has eight independent frequency illumination beams in W-band (75-110 GHz) driven by fast tuning synthesizers and active multipliers. Both of these advanced millimeter-wave imaging diagnostic systems have applied the latest techniques. A novel design philosophy "general optics structure" has been employed for the design of the ECEI and MIR receiver optics with large aperture. The extended radial and poloidal coverage of ECEI on EAST is made possible by innovations in the design of front-end optics. The front-end optical structures of the two imaging diagnostics, ECEI and MIR, have been integrated into a compact system, including the ECEI receiver and MIR transmitter and receiver. Two imaging systems share the same mid-plane port for simultaneous, co-located 2D fluctuation measurements of electron density and temperature. An intelligent remote-control is utilized in the MIR electronics systems to maintain focusing at the desired radial region even with density variations by remotely tuning the probe frequencies in about 200 μs. A similar intelligent technique has also been applied on the ECEI IF system, with remote configuration of the attenuations for each channel.

  8. Consolidated Laser-Induced Fluorescence Diagnostic Systems for the NASA Ames Arc Jet Facilities

    Science.gov (United States)

    Grinstead, Jay H.; Wilder, Michael C.; Porter, Barry J.; Brown, Jeffrey D.; Yeung, Dickson; Battazzo, Stephen J.; Brubaker, Timothy R.

    2016-01-01

    The spectroscopic diagnostic technique of two photon absorption laser-induced fluorescence (LIF) of atomic species for non-intrusive arc jet flow property measurement was first implemented at NASA Ames in the mid-1990s. In 2013-2014, NASA combined the agency's large-scale arc jet test capabilities at NASA Ames. Concurrent with that effort, the agency also sponsored a project to establish two comprehensive LIF diagnostic systems for the Aerodynamic Heating Facility (AHF) and Interaction Heating Facility (IHF) arc jets. The scope of the project enabled further engineering development of the existing IHF LIF system as well as the complete reconstruction of the AHF LIF system. The updated LIF systems are identical in design and capability. They represent the culmination of over 20 years of development experience in transitioning a specialized laboratory research tool into a measurement system for large-scale, high-demand test facilities. This paper will document the latest improvements of the LIF system design and demonstrations of the redeveloped AHF and IHF LIF systems.

  9. Consolidated Laser-Induced Fluorescence Diagnostic Systems for the NASA Ames Arc Jet Facilities

    Science.gov (United States)

    Grinstead, Jay; Wilder, Michael C.; Porter, Barry; Brown, Jeff; Yeung, Dickson; Battazzo, Steve; Brubaker, Tim

    2016-01-01

    The spectroscopic diagnostic technique of two photon absorption laser-induced fluorescence (TALIF) of atomic species for non-intrusive arc jet flow property measurement was first implemented at NASA Ames in the mid-1990s. Use of TALIF expanded at NASA Ames and to NASA Johnsons arc jet facility in the late 2000s. In 2013-2014, NASA combined the agency's large-scale arc jet test capabilities at NASA Ames. Concurrent with that effort, the agency also sponsored a project to establish two comprehensive LIF diagnostic systems for the Aerodynamic Heating Facility (AHF) and Interaction Heating Facility (IHF) arc jets. The scope of the project enabled further engineering development of the existing IHF LIF system as well as the complete reconstruction of the original AHF LIF system. The updated LIF systems are identical in design and capability. They represent the culmination of over 20 years of development experience in transitioning a specialized laboratory research tool into a measurement system for large-scale, high-demand test facilities. This paper documents the overall system design from measurement requirements to implementation. Representative data from the redeveloped AHF and IHF LIF systems are also presented.

  10. A Chinese literature overview on ultra-weak photon emission as promising technology for studying system-based diagnostics

    NARCIS (Netherlands)

    He, M.; Sun, M.; Wijk, E. van; Wietmarschen, H. van; Wijk, R. van; Wang, Z.; Wang, M.; Hankemeier, T.; Greef, J. van der

    2016-01-01

    To present the possibilities pertaining to linking ultra-weak photon emission (UPE) with Chinese medicine-based diagnostics principles, we conducted a review of Chinese literature regarding UPE with respect to a systems view of diagnostics. Data were summarized from human clinical studies and animal

  11. The Global Discourse on Human Trafficking and the Construction of a Standard of Civilization: Explored through The CNN Freedom Project

    OpenAIRE

    Larsen, Line Liblik

    2014-01-01

    This thesis is an integrated research study in two study programs cultural encounters and global studies. The thesis performs a critical discourse analysis of a mass media humanitarian campaign called The CNN Freedom Project and the broader global discourse on human trafficking in which the campaign is situated. The complexity of the issue of human trafficking is owed to the plethora of competing and influential elements, where various definitions, understandings, statistics, and ideologies e...

  12. Design of a new optical system for Alcator C-Mod motional Stark effect diagnostic.

    Science.gov (United States)

    Ko, Jinseok; Scott, Steve; Bitter, Manfred; Lerner, Scott

    2008-10-01

    The motional Stark effect (MSE) diagnostic on Alcator C-Mod uses an in-vessel optical system (five lenses and three mirrors) to relay polarized light to an external polarimeter because port access limitations on Alcator C-Mod preclude a direct view of the diagnostic beam. The system experiences unacceptable, spurious drifts of order several degrees in measured pitch angle over the course of a run day. Recent experiments illuminated the MSE diagnostic with polarized light of fixed orientation as heat was applied to various optical elements. A large change in measured angle was observed as two particular lenses were heated, indicating that thermal-stress-induced birefringence is a likely cause of the spurious variability. Several new optical designs have been evaluated to eliminate the affected in-vessel lenses and to replace the focusing they provide with curved mirrors; however, ray tracing calculations imply that this method is not feasible. A new approach is under consideration that utilizes in situ calibrations with in-vessel reference polarized light sources.

  13. Developmental trauma disorder: pros and cons of including formal criteria in the psychiatric diagnostic systems

    Directory of Open Access Journals (Sweden)

    Schmid Marc

    2013-01-01

    Full Text Available Abstract Background This article reviews the current debate on developmental trauma disorder (DTD with respect to formalizing its diagnostic criteria. Victims of abuse, neglect, and maltreatment in childhood often develop a wide range of age-dependent psychopathologies with various mental comorbidities. The supporters of a formal DTD diagnosis argue that post-traumatic stress disorder (PTSD does not cover all consequences of severe and complex traumatization in childhood. Discussion Traumatized individuals are difficult to treat, but clinical experience has shown that they tend to benefit from specific trauma therapy. A main argument against inclusion of formal DTD criteria into existing diagnostic systems is that emphasis on the etiology of the disorder might force current diagnostic systems to deviate from their purely descriptive nature. Furthermore, comorbidities and biological aspects of the disorder may be underdiagnosed using the DTD criteria. Summary Here, we discuss arguments for and against the proposal of DTD criteria and address implications and consequences for the clinical practice.

  14. Diagnostic Systems Plan for the Advanced Light Source Top-OffUpgrade

    Energy Technology Data Exchange (ETDEWEB)

    Barry, Walter; Chin, Mike; Robin, David; Sannibale, Fernando; Scarvie, Tom; Steier, Christoph

    2005-05-10

    The Advanced Light Source (ALS) will soon be upgraded to enable top-off operations [1], in which electrons are quasi-continuously injected to produce constant stored beam current. The upgrade is structured in two phases. First, we will upgrade our injector from 1.5 GeV to 1.9 GeV to allow full energy injection and will start top-off operations. In the second phase, we will upgrade the Booster Ring (BR) with a bunch cleaning system to allow high bunch purity top-off injection. A diagnostics upgrade will be crucial for success in both phases of the top-off project, and our plan for it is described in this paper. New booster ring diagnostics will include updated beam position monitor (BPM) electronics, a tune monitoring system, and a new scraper. Two new synchrotron light monitors and a beam stop will be added to the booster-to-storage ring transfer line (BTS), and all the existing beam current monitors along the accelerator chain will be integrated into a single injection efficiency monitoring application. A dedicated bunch purity monitor will be installed in the storage ring (SR). Together, these diagnostic upgrades will enable smooth commissioning of the full energy injector and a quick transition to high quality top-off operation at the ALS.

  15. Digital learning object for diagnostic reasoning in nursing applied to the integumentary system

    Directory of Open Access Journals (Sweden)

    Cecília Passos Vaz da Costa

    Full Text Available Objective: To describe the creation of a digital learning object for diagnostic reasoning in nursing applied to the integumentary system at a public university of Piaui. Method: A methodological study applied to technological production based on the pedagogical framework of problem-based learning. The methodology for creating the learning object observed the stages of analysis, design, development, implementation and evaluation recommended for contextualized instructional design. The revised taxonomy of Bloom was used to list the educational goals. Results: The four modules of the developed learning object were inserted into the educational platform Moodle. The theoretical assumptions allowed the design of an important online resource that promotes effective learning in the scope of nursing education. Conclusion: This study should add value to nursing teaching practices through the use of digital learning objects for teaching diagnostic reasoning applied to skin and skin appendages.

  16. [Digital learning object for diagnostic reasoning in nursing applied to the integumentary system].

    Science.gov (United States)

    da Costa, Cecília Passos Vaz; Luz, Maria Helena Barros Araújo

    2015-12-01

    To describe the creation of a digital learning object for diagnostic reasoning in nursing applied to the integumentary system at a public university of Piaui. A methodological study applied to technological production based on the pedagogical framework of problem-based learning. The methodology for creating the learning object observed the stages of analysis, design, development, implementation and evaluation recommended for contextualized instructional design. The revised taxonomy of Bloom was used to list the educational goals. The four modules of the developed learning object were inserted into the educational platform Moodle. The theoretical assumptions allowed the design of an important online resource that promotes effective learning in the scope of nursing education. This study should add value to nursing teaching practices through the use of digital learning objects for teaching diagnostic reasoning applied to skin and skin appendages.

  17. BRAF mutation testing with a rapid, fully integrated molecular diagnostics system

    OpenAIRE

    Janku, Filip; Claes, Bart; Huang, Helen J.; Falchook, Gerald S.; Devogelaere, Benoit; Kockx, Mark; Bempt, Isabelle Vanden; Reijans, Martin; Naing, Aung; Fu, Siqing; Piha-Paul, Sarina A.; Hong, David S.; Holley, Veronica R.; Tsimberidou, Apostolia M.; Stepanek, Vanda M.

    2015-01-01

    Fast and accurate diagnostic systems are needed for further implementation of precision therapy of BRAF-mutant and other cancers. The novel IdyllaTM BRAF Mutation Test has high sensitivity and shorter turnaround times compared to other methods. We used Idylla to detect BRAF V600 mutations in archived formalin-fixed paraffin-embedded (FFPE) tumor samples and compared these results with those obtained using the cobas 4800 BRAF V600 Mutation Test or MiSeq deep sequencing system and with those ob...

  18. Designing diagnostics in complexity: Measuring technical and contextual aspects in monitoring and evaluation systems

    Directory of Open Access Journals (Sweden)

    Caitlin Blaser Mapitsa

    2017-04-01

    Full Text Available Background: This article emphasizes the importance of reflecting on the methods employed when designing diagnostic tools for monitoring and evaluation (M&E systems. It sheds light on a broader debate about how we understand and assess M&E systems within their political and organisational contexts.Objectives: The article looks at what divergent purposes of M&E mean for how M&E systems are assessed, and how context-appropriate diagnostic studies can be designed.Method: The article draws on two different approaches: a survey that looks at the technical components of an M&E system and a complexity framework that analyses the way a system functions in a broader political and organisational context. The foundation is provided by survey and interview data from over 70 officials from across the City of Johannesburg’s administration.Results: The study revealed great diversity as to respondents’ understanding of what M&E structures and processes should do and achieve within the city, ranging from a management function closely linked to auditing and oversight responsibilities to a governance role that is more linked to learning and planning. Limitations in M&E capacity and/or performance were linked to contested political and bureaucratic structures.Conclusion: The mixed method approach to diagnostics proposed in this article contributes to the call in the ‘Made in Africa’ debate for more contextualised methods and tools around the practice and the assessment of M&E. The article proposes the development of a synthetic tool that covers both M&E technical components and capacity on one hand, and an analysis of how these are embedded in a political and organisational context on the other.

  19. Design and Development of a Diagnostics Client for a Beam Loss Measurement System at CERN

    CERN Document Server

    Angelogiannopoulos, Emmanouil; Jackson, Stephen

    The European Organization for Nuclear Research, known as CERN, is one of the biggest research centers in the field of particle physics. Its main function is to provide particle accelerators and other infrastructure needed for high energy physics research. Particles are accelerated through a complex of accelerators and are brought into collision, in order to study the fundamental elements of matter and the forces acting between them. Of course, such complex and expensive machines need control and protection. For that purpose, a variety of different systems -hardware and/or software- is needed. One such system is the Beam Loss Monitoring (BLM) system of an accelerator. This kind of system is designed for measuring beam losses around an accelerator. An appropriate design of the BLM system and an appropriate location of the monitors enable a wide field of very useful beam diagnostics and machine protection possibilities. This thesis focuses on the design and development of a client application, which is realized ...

  20. Feedback control and beam diagnostic algorithms for a multiprocessor DSP system

    Energy Technology Data Exchange (ETDEWEB)

    Teytelman, D.; Claus, R.; Fox, J.; Hindi, H.; Linscott, I.; Prabhakar, S. [Stanford Linear Accelerator Center, P.O. Box 4349, Stanford, California 94309 (United States); Drago, A. [INFN---Laboratori Nazionali di Frascati, P.O. Box 13, I-00044 Frascati (Roma) (Italy); Stover, G. [Lawrence Berkeley Laboratory, 1 Cyclotron Road, Berkeley, California 94563 (United States)

    1997-01-01

    The multibunch longitudinal feedback system developed for use by PEP-II, ALS, and DA{Phi}NE uses a parallel array of digital signal processors (DSPs) to calculate the feedback signals from measurements of beam motion. The system is designed with general-purpose programmable elements which allow many feedback operating modes as well as system diagnostics, calibrations, and accelerator measurements. The overall signal processing architecture of the system is illustrated. The real-time DSP algorithms and off-line postprocessing tools are presented. The problems in managing 320k samples of data collected in one beam transient measurement are discussed and our solutions are presented. Example software structures are presented showing the beam feedback process, techniques for modal analysis of beam motion (used to quantify growth and damping rates of instabilities), and diagnostic functions (such as timing adjustment of beam pick-up and kicker components). These operating techniques are illustrated with example results obtained from the system installed at the Advanced Light Source at LBL. {copyright} {ital 1997 American Institute of Physics.}

  1. Feedback control and beam diagnostic algorithms for a multiprocessor DSP system

    Energy Technology Data Exchange (ETDEWEB)

    Teytelman, D.; Claus, R.; Fox, J.; Hindi, H.; Linscott, I.; Prabhakar, S. [Stanford Univ., CA (United States). Stanford Linear Accelerator Center; Drago, A. [INFN, Roma (Italy). Lab. Nazionali di Frascati; Stover, G. [Lawrence Berkeley Lab., CA (United States)

    1996-09-01

    The multibunch longitudinal feedback system developed for use by PEP-II, ALS and DA{Phi}NE uses a parallel array of digital signal processors to calculate the feedback signals from measurements of beam motion. The system is designed with general-purpose programmable elements which allow many feedback operating modes as well as system diagnostics, calibrations and accelerator measurements. The overall signal processing architecture of the system is illustrated. The real-time DSP algorithms and off-line postprocessing tools are presented. The problems in managing 320 K samples of data collected in one beam transient measurement are discussed and the solutions are presented. Example software structures are presented showing the beam feedback process, techniques for modal analysis of beam motion(used to quantify growth and damping rates of instabilities) and diagnostic functions (such as timing adjustment of beam pick-up and kicker components). These operating techniques are illustrated with example results obtained from the system installed at the Advanced Light Source at LBL.

  2. EICT Based Diagnostic Tool and Monitoring System for EMF Radiation to Sustain Environmental Safety

    Directory of Open Access Journals (Sweden)

    K Parandham

    2013-10-01

    Full Text Available the adverse effects of electromagnetic radiation from mobile phones and communication towers on health issues are being well documented today. However, exact correlation between radiation of communication towers and their radiation levels, are not monitored. Aim of this paper is to study, analyze, apply networking and data mining technologies to develop an EICT based Diagnostic tool and Monitoring system for electromagnetic radiation levels into environment. This system is to network all mobile towers of each service provider as a single entity and then connect all service providers to a central monitoring agency online for continuous monitoring. Since very large numbers of mobile towers exist in India, each state can have its own regional network which is further networked with national central network. This can be enlarged to entire world for monitoring the EMF radiation levels near every mobile tower. For these regional national and international networks the connectivity is to be instituted by the respective service provider. In this paper an attempt is made to logically apply Data Mining and networking technologies to develop a central EICT based diagnostic tool and monitoring system for EMF radiation from each transmission tower. With this system regional, national and international agencies/authorities can monitor the EMF radiation at each and every transmission tower area continuously and verify them with exposure standards. It is proposed to display this information using Integrated Display System in front of monitoring authority at appropriate levels.

  3. The Types of Argument Structure Used by Hillary Clinton in the CNN Democratic Presidential Debate

    Directory of Open Access Journals (Sweden)

    Anggie Angeline

    2009-01-01

    Full Text Available This qualitative research was conducted to examine the types of argument structure by Hillary Clinton in part one of the CNN Democratic Presidential Debate since Hillary, who had a great deal of experiences in political parties, was supposed to be able to construct convincing arguments that had good argument structures. The theories used to analyze were Bierman and Assali’s (1996, King’s (n.d. and Stanlick’s (2003. The findings showed that there were five types of argument structure used: serial, linked, convergent, divergent, and hybrid argument structures. The linked argument structure was the argument structure used the most frequently in Hillary’s utterances in the debate, while the divergent was the least one. Thus, it could be concluded that Hillary’s speech in the Presidential Debate was quite interesting since she could combine all the five types of argument structure, though the frequency of using them was not the same and it seems that linked argument structure was the most effective strategy for her in arguing about the politic, economy, and social issues.

  4. Towards completing the cyclopropenylidene cycle: rovibrational analysis of cyclic N3(+), CNN, HCNN(+), and CNC().

    Science.gov (United States)

    Fortenberry, Ryan C; Lee, Timothy J; Huang, Xinchuan

    2017-08-30

    The simple aromatic hydrocarbon, cyclopropenylidene (c-C3H2), is a known, naturally-occurring molecule. The question remains as to whether its isoelectronic, cyclic, fellow aromatics of c-N3(+), c-CNN, HCNN(+), and c-CNC(-) are as well. Each of these are exciting objects for observation of Titan, and the rotational constants and vibrational frequencies produced here will allow for remote sensing of Titan's atmosphere or other astrophysical or terrestrial sources. None of these four aromatic species are vibrationally strong absorbers/emitters, but the two ions, HCNN(+) and c-CNC(-), have dipole moments of greater than 3 D and 1 D, respectively, making them good targets for rotational spectroscopic observation. Each of these molecules is shown here to exhibit its own, unique vibrational properties, but the general trends put the vibrational behavior for corresponding fundamental modes within close ranges of one another, even producing nearly the same heavy atom, symmetric stretching frequencies for HCNN(+) and c-C3H2 at 1600 cm(-1). The c-N3(+) cation is confirmed to be fairly unstable and has almost no intensity in its ν2 fundamental. Hence, it will likely remain difficult to characterize experimentally.

  5. PLZT-Modified Relaxor Piezoelectric Ceramic System for Medical Diagnostic Applications

    Directory of Open Access Journals (Sweden)

    Koduri Ramam

    2008-01-01

    Full Text Available The piezoelectric ceramic system [Pb0.978–yLa0.012Ba0.01Sry][(Zr0.534Ti0.4660.987Nb0.008]O3 (PLBSZNT has been fabricated for use in medical diagnostics applications. The fundamental pre-requisites are high-density, high dielectric constant and high piezoelectric properties that serve as compatible ceramic materials for medical diagnostic applications. It is essential for sensitive transducers that the piezoelectric ceramics must efficiently convert between electrical and mechanical energy, and so the electromechanical coupling coefficients should be high, as the fabrication process of tiny elements for medical arrays must be carried out without damaging the material and its properties. In our study, Sr-modified PLBZNT had shown single ferroelectric tetragonal phase. An analysis of different Sr doping concentration is reported, and the high dielectric permittivity, low dielectric loss along with high electromechanical properties indicate that PLBSZNT is suitable for medical diagnostic applications as well as sensors and actuators.

  6. A Diagnostic Assessment of Evolutionary Multiobjective Optimization for Water Resources Systems

    Science.gov (United States)

    Reed, P.; Hadka, D.; Herman, J.; Kasprzyk, J.; Kollat, J.

    2012-04-01

    This study contributes a rigorous diagnostic assessment of state-of-the-art multiobjective evolutionary algorithms (MOEAs) and highlights key advances that the water resources field can exploit to better discover the critical tradeoffs constraining our systems. This study provides the most comprehensive diagnostic assessment of MOEAs for water resources to date, exploiting more than 100,000 MOEA runs and trillions of design evaluations. The diagnostic assessment measures the effectiveness, efficiency, reliability, and controllability of ten benchmark MOEAs for a representative suite of water resources applications addressing rainfall-runoff calibration, long-term groundwater monitoring (LTM), and risk-based water supply portfolio planning. The suite of problems encompasses a range of challenging problem properties including (1) many-objective formulations with 4 or more objectives, (2) multi-modality (or false optima), (3) nonlinearity, (4) discreteness, (5) severe constraints, (6) stochastic objectives, and (7) non-separability (also called epistasis). The applications are representative of the dominant problem classes that have shaped the history of MOEAs in water resources and that will be dominant foci in the future. Recommendations are provided for which modern MOEAs should serve as tools and benchmarks in the future water resources literature.

  7. Portable Bio/Chemosensoristic Devices: Innovative Systems for Environmental Health and Food Safety Diagnostics

    Science.gov (United States)

    Dragone, Roberto; Grasso, Gerardo; Muccini, Michele; Toffanin, Stefano

    2017-01-01

    This mini-review covers the newly developed biosensoristic and chemosensoristic devices described in recent literature for detection of contaminants in both environmental and food real matrices. Current needs in environmental and food surveillance of contaminants require new simplified, sensitive systems, which are portable and allow for rapid and on-site monitoring and diagnostics. Here, we focus on optical and electrochemical bio/chemosensoristic devices as promising tools with interesting analytical features that can be potentially exploited for innovative on-site and real-time applications for diagnostics and monitoring of environmental and food matrices (e.g., agricultural waters and milk). In near future, suitably developed and implemented bio/chemosensoristic devices will be a new and modern technological solution for the identification of new quality and safety marker indexes as well as for a more proper and complete characterization of abovementioned environmental and food matrices. Integrated bio/chemosensoristic devices can also allow an “holistic approach” that may prove to be more suitable for diagnostics of environmental and food real matrices, where the copresence of more bioactive substances is frequent. Therefore, this approach can be focused on the determination of net effect (mixture effect) of bioactive substances present in real matrices. PMID:28529937

  8. COMPREHENSIVE DIAGNOSTIC AND IMPROVEMENT TOOLS FOR HVAC-SYSTEM INSTALLATIONS IN LIGHT COMMERCIAL BUILDINGS

    Energy Technology Data Exchange (ETDEWEB)

    Abram Conant; Mark Modera; Joe Pira; John Proctor; Mike Gebbie

    2004-10-31

    Proctor Engineering Group, Ltd. (PEG) and Carrier-Aeroseal LLP performed an investigation of opportunities for improving air conditioning and heating system performance in existing light commercial buildings. Comprehensive diagnostic and improvement tools were created to address equipment performance parameters (including airflow, refrigerant charge, and economizer operation), duct-system performance (including duct leakage, zonal flows and thermal-energy delivery), and combustion appliance safety within these buildings. This investigation, sponsored by the National Energy Technology Laboratory, a division of the U.S. Department of Energy, involved collaboration between PEG and Aeroseal in order to refine three technologies previously developed for the residential market: (1) an aerosol-based duct sealing technology that allows the ducts to be sealed remotely (i.e., without removing the ceiling tiles), (2) a computer-driven diagnostic and improvement-tracking tool for residential duct installations, and (3) an integrated diagnosis verification and customer satisfaction system utilizing a combined computer/human expert system for HVAC performance. Prior to this work the aerosol-sealing technology was virtually untested in the light commercial sector--mostly because the savings potential and practicality of this or any other type of duct sealing had not been documented. Based upon the field experiences of PEG and Aeroseal, the overall product was tailored to suit the skill sets of typical HVAC-contractor personnel.

  9. A diagnostic system for identifying accident conditions in a nuclear reactor

    Energy Technology Data Exchange (ETDEWEB)

    Santhosh, T.V., E-mail: santoshiitb@yahoo.co [Reactor Safety Division, Bhabha Atomic Research Centre, Mumbai (India); Kumar, M.; Thangamani, I.; Srivastava, A.; Dutta, A.; Verma, V.; Mukhopadhyay, D.; Ganju, S.; Chatterjee, B.; Rao, V.V.S.S.; Lele, H.G.; Ghosh, A.K. [Reactor Safety Division, Bhabha Atomic Research Centre, Mumbai (India)

    2011-01-15

    Research highlights: Neural networks based diagnostic system has been developed to identify transients quickly, estimate the source-term and assist the operator to take corrective actions during abnormal situations in 220 MWe PHWRs. The transient data for the break scenarios ranging from 20% to 200% has been generated using RELAP5 and CONTRAN codes. 32 break scenarios of large break LOCA in inlet and outlet reactor headers with and without ECCS have been analyzed using artificial neural networks. A few break scenarios were directly predicted without being trained earlier. Test results obtained from ANN are within the acceptable range. - Abstract: The objective of this study is to develop a system, which assists the operator in identifying an accident quickly using ANNs that diagnoses the accidents based on reactor process parameters, and continuously displays the status of the nuclear reactor. A large database of transient data of reactor process parameters has been generated for reactor core, containment, environmental dispersion and radiological dose to train the ANNs. These data have been generated using various codes e.g., RELAP5-thermal-hydraulics code for the core. The present version of this system is capable of identifying large break LOCA scenarios of 220 MWe Indian PHWRs. The system has been designed to provide the necessary information to the operator to handle emergency situations when the reactor is operating. The diagnostic results obtained from ANNs study are satisfactory.

  10. Correcting raw diagnostic data for oscilloscope recording system distortions at the National Ignition Facility

    Energy Technology Data Exchange (ETDEWEB)

    Liebman, Judith, E-mail: Liebman1@LLNL.gov [Lawrence Livermore National Laboratory, Livermore, CA (United States); Azevedo, Steve; Williams, Wade [Lawrence Livermore National Laboratory, Livermore, CA (United States); Miller, Kirk [NSTec Special Technologies Laboratory (United States); Bettenhausen, Rita; Clowdus, Lisa; Marsh, Amber; Chakicherla, Anu; Hutton, Matthew; Casey, Allan [Lawrence Livermore National Laboratory, Livermore, CA (United States)

    2012-12-15

    Highlights: Black-Right-Pointing-Pointer High-speed shot data from NIF oscilloscope waveforms are often distorted. Black-Right-Pointing-Pointer We describe specialized corrections for two example NIF diagnostic systems. Black-Right-Pointing-Pointer For Dante, non-uniform time-base corrections for the scopes are applied. Black-Right-Pointing-Pointer Mach-Zehnder optical demodulation and 'stitching' are applied to GRH. Black-Right-Pointing-Pointer A multi-node analysis engine performs scope corrections automatically. - Abstract: The National Ignition Facility (NIF) is now producing experimental results for the study of inertial confinement fusion (ICF). These results are captured by complex diagnostic systems and are key to achieving NIF's goal to demonstrate thermonuclear burn of deuterium and tritium fuel in a laboratory setting. High bandwidth gamma-ray fusion-burn measurements and soft X-ray indirect and direct drive energetic measurements are both captured with oscilloscope recording systems that distort or modulate the raw data. The Shot Data Analysis team has developed signal processing corrections for these oscilloscope recording systems through an automated engine. Once these corrections are applied, accurate fundamental quantities can be discerned.

  11. T-scan III system diagnostic tool for digital occlusal analysis in orthodontics - a modern approach.

    Science.gov (United States)

    Trpevska, Vesna; Kovacevska, Gordana; Benedeti, Alberto; Jordanov, Bozidar

    2014-01-01

    This systematic literature review was performed to establish the mechanism, methodology, characteristics, clinical application and opportunities of the T-Scan III System as a diagnostic tool for digital occlusal analysis in different fields of dentistry, precisely in orthodontics. Searching of electronic databases, using MEDLINE and PubMed, hand searching of relevant key journals, and screening of reference lists of included studies with no language restriction was performed. Publications providing statistically examined data were included for systematic review. Twenty potentially relevant Randomized Controlled Trials (RCTs) were identified. Only ten met the inclusion criteria. The literature demonstrates that using digital occlusal analysis with T-Scan III System in orthodontics has significant advantage with regard to the capability of measuring occlusal parameters in static positions and during dynamic of the mandible. Within the scope of this systematic review, there is evidence to support that T-Scan system is rapid and accurate in identifying the distribution of the tooth contacts and it shows great promise as a clinical diagnostic screening device for occlusion and for improving the occlusion after various dental treatments. Additional clinical studies are required to advance the indication filed of this system. Importance of using digital occlusal T-Scan analysis in orthodontics deserves further investigation.

  12. Therapeutic and diagnostic outcomes of a standardised, comprehensive care pathway for patients with systemic sclerosis

    Science.gov (United States)

    Meijs, Jessica; Schouffoer, Anne A; Ajmone Marsan, Nina; Kroft, Lucia J M; Stijnen, Theo; Ninaber, Maarten K; Huizinga, Tom W J; Vliet Vlieland, Theodora P M; de Vries-Bouwstra, Jeska K

    2016-01-01

    Objectives To determine the outcomes, including number of medical interventions and initiation of immunosuppressive treatment of a standardised, comprehensive, diagnostic care pathway for patients with systemic sclerosis (SSc). Patient characteristics associated with need for medical interventions and with need for immunosuppressive treatment were determined. Methods Data were routinely gathered in connection with a 2-day care pathway combining multidisciplinary care and complete diagnostic work-up of organ involvement in SSc. The number of patients in whom the pathway resulted in medical interventions, and/or initiation of immunosuppressives was recorded. Patient characteristics and diagnostic tests results were compared between patients with and without medical interventions, and patients with and without initiation of immunosuppressives by means of multivariable logistic regression analyses. Results During a period of 44 months, 226 patients with SSc were referred to the care pathway. They included 186 (82%) women with mean age of 54 (SD 14.5) years, and median disease duration of 4 years (range 1–11); 73 (32%) of them had diffuse cutaneous SSc. Medical interventions were initiated in 191 (85%) patients, including initiation of immunosuppressive treatment in n=49 (22%). Presence of telangiectasias and higher erythrocyte sedimentation rate were associated with any medical intervention. Of commonly available variables, lower age, higher skin score and absence of anticentromere antibody were associated with initiation of immunosuppressives. Conclusions A standardised comprehensive 2-day care pathway for patients with SSc resulted in additional diagnostic or therapeutic interventions in 85% of the patients, regardless of SSc subtype and disease duration. In 22% of the patients, immunosuppressive treatment was initiated. PMID:27042333

  13. Smartphone-Based Fluorescent Diagnostic System for Highly Pathogenic H5N1 Viruses.

    Science.gov (United States)

    Yeo, Seon-Ju; Choi, Kyunghan; Cuc, Bui Thi; Hong, Nguyen Ngoc; Bao, Duong Tuan; Ngoc, Nguyen Minh; Le, Mai Quynh; Hang, Nguyen Le Khanh; Thach, Nguyen Co; Mallik, Shyam Kumar; Kim, Hak Sung; Chong, Chom-Kyu; Choi, Hak Soo; Sung, Haan Woo; Yu, Kyoungsik; Park, Hyun

    2016-01-01

    Field diagnostic tools for avian influenza (AI) are indispensable for the prevention and controlled management of highly pathogenic AI-related diseases. More accurate, faster and networked on-site monitoring is demanded to detect such AI viruses with high sensitivity as well as to maintain up-to-date information about their geographical transmission. In this work, we assessed the clinical and field-level performance of a smartphone-based fluorescent diagnostic device with an efficient reflective light collection module using a coumarin-derived dendrimer-based fluorescent lateral flow immunoassay. By application of an optimized bioconjugate, a smartphone-based diagnostic device had a two-fold higher detectability as compared to that of the table-top fluorescence strip reader for three different AI subtypes (H5N3, H7N1, and H9N2). Additionally, in a clinical study of H5N1-confirmed patients, the smartphone-based diagnostic device showed a sensitivity of 96.55% (28/29) [95% confidence interval (CI): 82.24 to 99.91] and a specificity of 98.55% (68/69) (95% CI: 92.19 to 99.96). The measurement results from the distributed individual smartphones were wirelessly transmitted via short messaging service and collected by a centralized database system for further information processing and data mining. Smartphone-based diagnosis provided highly sensitive measurement results for H5N1 detection within 15 minutes. Because of its high sensitivity, portability and automatic reporting feature, the proposed device will enable agile identification of patients and efficient control of AI dissemination.

  14. Leishmania Surveillance and Diagnostic Capability in Support of the Joint Biological Agent Identification and Diagnostic System (JBAIDS) and Leishmania Vector Surveillance

    Science.gov (United States)

    2013-02-07

    biosurveillance uses and pre-clinical test phase will be conducted under separate protocols. Proposed follow-on activities are directed at near-term...commercialization of biosurveillance kits and ultimately transition and FDA clearance using the Next Generation Diagnostic System (NGDS). Project... biosurveillance uses and pre-clinical test phase will be conducted under a separate protocol. 3. Validate performance of the Leishmania epidemiology

  15. Gender responsiveness diagnostic of national monitoring and evaluation systems – methodological reflections

    Directory of Open Access Journals (Sweden)

    Madri S. Jansen van Rensburg

    2017-04-01

    Full Text Available Background: This article reflects on the implementation of a diagnostic study carried out to understand the gender responsiveness of the national monitoring and evaluation (M&E systems of Benin, South Africa and Uganda. Carrying out the study found that the potential for integrating the cross-cutting systems of gender and monitoring and evaluation (M&E are strong. At the same time, it highlighted a range of challenges intersecting these two areas of work. This article explores these issues, which range from logistical to conceptual.Objectives: This article aims to share reflections from the gender diagnostic study to enable more appropriate capacity building in the field of gender responsiveness in national M&E systems. Developing more sophisticated tools to measure gender responsiveness in complex contexts is critical. A better understanding of how gender and national M&E systems intersect is important to understanding firstly how we can more accurately measure the gender responsiveness of existing systems and secondly how better to engender capacity development initiatives.Method: As part of the Twende Mbele programme, Centre for Learning on Evaluation and Results (CLEAR commissioned Africa Gender and Development Evaluator’s Network (AGDEN to coordinate teams of researchers in Benin, Uganda, and South Africa to collaboratively develop the diagnostic tool, and then implement it by conducting a review of key documentation and to interview officials within the government wide monitoring and evaluation systems as well as the national gender machinery in each country.Results: The study found that the gender responsiveness of M&E systems across all three systems was unequal, but more importantly, it is important to do more work on how M&E and gender are conceptualised, to ensure this can be studied in a more meaningful way. To strengthen national monitoring and evaluation systems, gender responsiveness and equity must serve as a foundation for

  16. Comparison of serum amyloid A and C-reactive protein as diagnostic markers of systemic inflammation in dogs

    DEFF Research Database (Denmark)

    Christensen, Michelle Brønniche; Langhorn, Rebecca; Goddard, Amelia

    2014-01-01

    The diagnostic performance of canine serum amyloid A (SAA) was compared with that of C-reactive protein (CRP) in the detection of systemic inflammation in dogs. Sera from 500 dogs were retrospectively included in the study. C-reactive protein and SAA were measured using validated automated assays....... The overlap performance, clinical decision limits, overall diagnostic performance, correlations, and agreement in the clinical classification between these 2 diagnostic markers were compared. Significantly higher concentrations of both proteins were detected in dogs with systemic inflammation (SAA range: 48.......75 to > 2700 mg/L; CRP range: 0.4 to 907.4 mg/L) compared to dogs without systemic inflammation (SAA range: 1.06 to 56.4 mg/L; CRP range: 0.07 to 24.7 mg/L). Both proteins were shown to be sensitive and specific markers of systemic inflammation in dogs. Significant correlations and excellent diagnostic...

  17. Development of Diagnostics for Large-Scale Experiments with Dense Magnetized Plasmas - MJ Plasma-focus diagnostics systems

    Energy Technology Data Exchange (ETDEWEB)

    Scholz, M.; Karpinski, L.; Paduch, M.; Pisarczyk, T.; Zielinska, E.; Chodukowski, T. [Institute of Plasma Physics and Laser Microfusion IPPLM, 01-497 Warsaw (Poland); Sadowski, M.J. [Institute of Plasma Physics and Laser Microfusion IPPLM, 01-497 Warsaw (Poland)] [The Andrzej Soltan Institute for Nuclear Studies IPJ, 05-400 Otwock-Swiert (Poland); Skladnik-Sadowska, E.; Czaus, K.; Kwiatkowski, R.; Malinowski, K. [The Andrzej Soltan Institute for Nuclear Studies IPJ, 05-400 Otwock-Swiert (Poland); Krauz, S. [RNC Kurchatov Institute, Moscow (Russian Federation); Mitrovanov, K. [FGUP GNC RF Triniti, Troick (Russian Federation)

    2011-07-01

    This document presents the diagnostics arrangements and interesting results of research on fusion pulsed plasma, which was generated within the large PF-1000 facility operated in the Institute of Plasma Physics and Laser Microfusion (Warsaw, Poland). Experimental studies were carried out with the following diagnostic techniques: 1) Rogovski coil for current measurements; 2) Four dI/dt probes in different places around the collector of PF-1000; 3) Voltage divider; 4) Mach-Zender interferometer (16 frames); 5) Fast scintillation probes for X-ray and neutron detection; 6) Silver activation counters; 7) Specially prepared current probes; 8) Thomson spectrometer for mass- and energy-analysis of deuterium beams; 9) Ion-pinhole cameras equipped with nuclear-track detectors, etc. The studies have been carried out with the pure deuterium filling, and particular attention was paid to correlations between the fast-neutron emission and an evolution of plasma parameters. The total fusion-neutron yield, as measured with four silver-activation counters, was found to be up to 7*10{sup 11} per shot, depending on the experimental conditions. Correlations of the neutron pulses with interferometric frame-pictures of the PF pinch column were studied. From time-of-flight (ToF) measurements of the fusion neutrons it was possible to estimate a CM velocity of deuterons involved in the D-D reactions. The fast fusion-produced protons have also been recorded and analyzed by means pinhole cameras and shielded track detectors. The document is composed of an abstract followed by the slides of the presentation. (authors)

  18. A local search with smoothing approximation in hybrid algorithms of diagnostics of hydromechanical systems

    Directory of Open Access Journals (Sweden)

    V. D. Sulimov

    2014-01-01

    Full Text Available Modern methods for solving practical problems relating to trouble free, efficient and pro-longed operation of complex systems are presumed the application of computational diagnos-tics. Input data for diagnosing usually contain the results of experimental measurements of the system certain investigatory characteristics; among them may be registered parameters of oscillatory motion or impact process. The diagnostic procedure is founded on the solution of the corresponding inverse spectral problem; the problem in many cases may be reduced to a minimization of an appropriate error criterion. Eigenvalues from the direct problem for the mathematical model and useful measured data for the system are used in order to construct the corresponding criterion. When solving these inverse problems, consideration must be given to following special features: the error criterion may be represented by nondifferentiable and multiextremal function.Consideration is being given to problems of identification of anomalies in the phase constitution of the coolant circulating throw the reactor primary circuit. Main dynamical char-acteristics of the object under diagnosing are considered as continuous functions of the bounded set of control variables. Possible occurrence of anomalies in the phase constitution of the coolant can be detected owing to changes in dynamical characteristics of the two-phase flow. It is suggested that criterion functions are continuous, Lipschitzian, multiextremal and not everywhere differentiable. Two novel hybrid algorithms are proposed with scanning a search space by use of the modern stochastic Multi-Particle Collision Algorithm on base of analogy with absorbtion and scattering processes for nuclear particles. The local search is im-plemented using the hyperbolic smoothing function method for the first algorithm, and the linearization method with two-parametric smoothing approximations of criteria for the second one. Some results on solving

  19. A contactless microwave-based diagnostic tool for high repetition rate laser systems

    CERN Document Server

    Braggio, C

    2014-01-01

    We report on a novel electro-optic device for the diagnostics of high repetition rate laser systems. It is composed of a microwave receiver and of a second order nonlinear crystal, whose irradiation with a train of short laser pulses produces a time-dependent polarization in the crystal itself as a consequence of optical rectification. This process gives rise to the emission of microwave radiation that is detected by a receiver and is analyzed to infer the repetition rate and intensity of the pulses. We believe that this new method may overcome some of the limitations of photodetection techniques.

  20. The Development of a Framework for Target Diagnostic Centralized Control System (TDCCS) in ICF Experiments

    Science.gov (United States)

    Zhang, Chi; Wang, Jian; Yu, Xiaoqi; Yang, Dong

    2008-02-01

    A framework for target diagnostic centralized control system (TDCCS) in inertial confinement fusion (ICF) experiment has been developed. The developed framework is based on the common object request broker architecture (CORBA) standard and part of the concept from the ICFRoot (a framework based on ROOT for ICF experiments) framework design. This framework is of a component architecture, including a message bus, command executer, status processor, parser and proxy. To test the function of the framework, a simplified prototype of the TDCCS has been developed as well.

  1. Clinical evaluation of a wireless ECG sensor system for arrhythmia diagnostic purposes.

    Science.gov (United States)

    Fensli, Rune; Gundersen, Torstein; Snaprud, Tormod; Hejlesen, Ole

    2013-06-01

    In a clinical study, a novel wireless electrocardiogram (ECG) recorder has been evaluated with regard to its ability to perform arrhythmia diagnostics. As the ECG recorder will detect a "non-standard" ECG signal, it has been necessary to compare those signals to "standard" ECG recording signals in order to evaluate the arrhythmia detection ability of the new system. Simultaneous recording of ECG signals from both the new wireless ECG recorder and a conventional Holter recorder was compared by two independent cardiology specialists with regard to signal quality for performing arrhythmia diagnosis. In addition, calculated R-R intervals from the two systems were correlated. A total number of 16 patients participated in the study. It can be considered that recorded ECG signals obtained from the wireless ECG system had an acceptable quality for arrhythmia diagnosis. Some of the patients used the wireless sensor while doing physical sport activities, and the quality of the recorded ECG signals made it possible to perform arrhythmia diagnostics even under such conditions. Consequently, this makes possible improvements in correlating arrhythmias to physical activities.

  2. System Design and Development of a Robotic Device for Automated Venipuncture and Diagnostic Blood Cell Analysis.

    Science.gov (United States)

    Balter, Max L; Chen, Alvin I; Fromholtz, Alex; Gorshkov, Alex; Maguire, Tim J; Yarmush, Martin L

    2016-10-01

    Diagnostic blood testing is the most prevalent medical procedure performed in the world and forms the cornerstone of modern health care delivery. Yet blood tests are still predominantly carried out in centralized labs using large-volume samples acquired by manual venipuncture, and no end-to-end solution from blood draw to sample analysis exists today. Our group is developing a platform device that merges robotic phlebotomy with automated diagnostics to rapidly deliver patient information at the site of the blood draw. The system couples an image-guided venipuncture robot, designed to address the challenges of routine venous access, with a centrifuge-based blood analyzer to obtain quantitative measurements of hematology. In this paper, we first present the system design and architecture of the integrated device. We then perform a series of in vitro experiments to evaluate the cannulation accuracy of the system on blood vessel phantoms. Next, we assess the effects of vessel diameter, needle gauge, flow rate, and viscosity on the rate of sample collection. Finally, we demonstrate proof-of-concept of a white cell assay on the blood analyzer using in vitro human samples spiked with fluorescently labeled microbeads.

  3. Optical system for the Protein Crystallisation Diagnostics Facility (PCDF) on board the ISS

    Science.gov (United States)

    Joannes, Luc; Dupont, Olivier; Dewandel, Jean-Luc; Ligot, Renaud; Algrain, Hervé

    2004-06-01

    The Protein Crystallisation Diagnostic Facility (PCDF) is a multi-user facility to study the protein crystallisation under the conditions of micro-gravity onboard the International Space Station (ISS) Columbus facility. Large size protein crystals will growth under reduced gravity in thermally controlled reactors. A combination of diagnostic tools like video system, microscope, interferometer, and light scattering device shall help to understand the growth phenomena. Common methods of protein crystallisation shall be performed in PCDF: Dialysis where the protein solution and the salt solution are separated by a semi-permeable membrane. Extended Length Dialysis Batch where the saturation to get crystals is achieved by changing the concentration of the protein in the sample liquid. The overall ESA project is leaded by EADS Space Transportation, Friedrichshafen, Germany. Lambda-X is responsible for the Optical System (OS), with Verhaert Design and Development as sub-contractor for the mechanical design. The OS includes different compact parts: Original illumination systems based on LEDs of difference colours; Quantitative Mach-Zehnder interferometers to measure the concentration distribution around crystals; Imaging assemblies to visualize the protein volume with different field of views. The paper concentrates on the description of each part, and in particular on the imaging assembly which allow switching from one field of view to another by passive elements only.

  4. CENTRAL NERVOUS SYSTEM INVOLVEMENT IN ADULT ACUTE LYMPHOBLASTIC LEUKEMIA: DIAGNOSTIC TOOLS, PROPHYLAXIS AND THERAPY

    Directory of Open Access Journals (Sweden)

    Maria Ilaria Del Principe

    2014-11-01

    Full Text Available In adult patients with acute lymphoblastic leukemia (ALL, Central Nervous System (CNS involvement is associated with a very poor prognosis. The diagnostic assessment of this condition relies on the use of neuroradiology, conventional cytology (CC and flow cytometry (FCM. Among these approaches, which is the gold standard it is still a matter of debate. Neuroradiology and CC have a limited sensitivity with a higher rate of false negative results. FCM demonstrated a superior sensitivity over CC, particularly when low levels of CNS infiltrating cells are present. Although prospective studies of large series of patients are still awaited, a positive finding by FCM appears to anticipate an adverse outcome even if CC shows no infiltration. Current strategies for adult ALL CNS-directed prophylaxis or therapy involve systemic and intrathecal chemotherapy and radiation therapy. Actually, early and frequent intrathecal injection of cytostatic combined with systemic chemotherapy is the most effective strategy to reduce the frequency of CNS involvement. In patients with CNS overt ALL, at diagnosis or upon relapse, allogenic hematopoietic stem cell transplantation might be considered. This review will discuss risk factors, diagnostic techniques for identification of CNS infiltration and modalities of prophylaxis and therapy to manage it.

  5. Classification of anthropogenic soils by new diagnostic criteria involved in the Slovak Soil Classification System (2014)

    Science.gov (United States)

    Sobocká, Jaroslava; Balkovič, Juraj; Bedrna, Zoltán

    2017-04-01

    Anthropogenic soils can be found mostly in SUITMA areas. The issue of adequate and correct description and classification of these soils occurs very often and can result in inconsistent even in contradictory opinions. In the new version of the anthropogenic soil classification system in Slovakia some new diagnostics criteria were involved and applied for better understanding the inherent nature of these soils. The group of the former anthropogenic soils was divided following scheme of soil reference groups in the WRB 2014 (Anthrozem and Technozem). According to the new version of the Slovak anthropogenic soils classification (2014) there have been distinguished 2 groups of anthropogenic soils: 1) cultivated soils group including 2 soil types (in Slovak terminology): Kultizem and Hortizem and 2) technogenic soils group having 2 soil types: Antrozem and Technozem. Cultivated soil group represents soils developing or forming "in-situ" with diagnostic horizons characterized by human deeply influenced cultivated processes. Technogenic soil group are soils developing like "ex-situ" soils. The key features recognizing technogenic soil group are human-transported and altered material (HTAM = ex-situ aspect), and artefacts content. Diagnostic horizons (top and subsoil) were described as various material affected by physical-mechanical excavation, transportation and spread, mixing, and containing artefacts (the new diagnostic feature). Kultizems are differentiated by cultivated horizon(s) and Technozems by anthropogenic horizon(s). Cultivated horizons are mostly well-known described horizon in many scientific references. Anthropogenic horizons for Technozem are developed from the human-induced transported and altered material which origin is from the other ecological locality that adjacent area. Materials (or substrates) can consist of various material (natural, technogenic or their mixing) with thickness ≥ 60 cm. Artefacts are the second diagnostic feature which presence

  6. Handbook of the diagnostic radiology. The cardiovascular system; Handbuch der diagnostishen Radiologie. Kardiovaskulaeres System

    Energy Technology Data Exchange (ETDEWEB)

    Hahn, D. (ed.) [Wuerzburg Univ. (Germany). Inst. fuer Roentgendiagnostik

    2007-07-01

    Cardiovascular system diseases are the most common causes for death besides the progress in medical sciences. The book contains the following contributions within two main chapters: The heart, normal anatomy and important variants, cardiac diseases, thoracic aorta and pulmonal vascular system, abdominal vascular system, peripheric vascular system, veins, supraaortal vascular system, thoracic and abdominal aorta, abdomial vascular system, kidney arteries, mesenterial vascular system, abdominopelvic vascular system, peripheric arteries, hemodialysis shunt, transjugular portosystemic shunt.

  7. ASIC design of a digital fuzzy system on chip for medical diagnostic applications.

    Science.gov (United States)

    Roy Chowdhury, Shubhajit; Roy, Aniruddha; Saha, Hiranmay

    2011-04-01

    The paper presents the ASIC design of a digital fuzzy logic circuit for medical diagnostic applications. The system on chip under consideration uses fuzzifier, memory and defuzzifier for fuzzifying the patient data, storing the membership function values and defuzzifying the membership function values to get the output decision. The proposed circuit uses triangular trapezoidal membership functions for fuzzification patients' data. For minimizing the transistor count, the proposed circuit uses 3T XOR gates and 8T adders for its design. The entire work has been carried out using TSMC 0.35 µm CMOS process. Post layout TSPICE simulation of the whole circuit indicates a delay of 31.27 ns and the average power dissipation of the system on chip is 123.49 mW which indicates a less delay and less power dissipation than the comparable embedded systems reported earlier.

  8. On-ground tests of LISA PathFinder thermal diagnostics system

    CERN Document Server

    Lobo, A; Ramos-Castro, J; Sanjuan, J; Lobo, Alberto; Nofrarias, Miquel; Ramos-Castro, Juan; Sanjuan, Josep

    2006-01-01

    Thermal conditions in the LTP, the LISA Technology Package, are required to be very stable, and in such environment precision temperature measurements are also required for various diagnostics objectives. A sensitive temperature gauging system for the LTP is being developed at IEEC, which includes a set of thermistors and associated electronics. In this paper we discuss the derived requirements applying to the temperature sensing system, and address the problem of how to create in the laboratory a thermally quiet environment, suitable to perform meaningful on-ground tests of the system. The concept is a two layer spherical body, with a central aluminium core for sensor implantation surrounded by a layer of polyurethane. We construct the insulator transfer function, which relates the temperature at the core with the laboratory ambient temperature, and evaluate the losses caused by heat leakage through connecting wires. The results of the analysis indicate that, in spite of the very demanding stability conditio...

  9. Development of the Beam Diagnostics System for the J-PARC Rapid-Cycling Synchrotron

    CERN Document Server

    Hayashi, Naoki; Hiroki, Seiji; Kishiro, Junichi; Lee, Seishu; Miura, Takako; Teruyama, Yuzou; Toyama, Takeshi; Toyokawa, Ryoji

    2005-01-01

    Development of the beam diagnostics system for the J-PARC (Japan Proton Accelerator Research Complex) Rapid-Cycling Synchrotron is described. The system consists of Beam Position Monitor (BPM), Beam Loss Monitor (BLM), Current monitors (DCCT, SCT, MCT, FCT, WCM), Tune meter system, 324MHz-BPM, Profile monitor, and Halo monitor. BPM electrode is electro-static type and its electronics is designed for both COD and turn-by-turn measurements. Five current monitors have different time constants in order to cover wide frequency range. The tune meter is consisted of RFKO and the beam pick-up electrode. For the continuous injected beam monitoring, 324MHz-BPM detects Linac frequency. Two types of profile monitor are multi-wire for low intensity tuning and the residual gas monitor for non-destructive measurement.

  10. Automated System for Control of the Vacuum Diagnostic System for the TJ-II; Control Automatico de los Sistemas de Vacio de Diagnosticos del Dispositivos TJ-II

    Energy Technology Data Exchange (ETDEWEB)

    Lopez Sanchez, A.; Montoro Peinado, A.; Encabo Fernandez, J.; Gama de la Serrano, J.; Sanchez Sarabia, E. [Ciemat, Madrid (Spain)

    2000-07-01

    This report describes the monitorization and remote control systems belonging to the high vacuum systems of the TJ-II diagnostics. These systems are part of each diagnostic and their control has been integrated into the automata that carries out this task. All the controllers are connected through a Profibus network, so as to interchange data between themselves as well as between the general system of TJ-II. (Author)

  11. Computer-assisted diagnostic system for neurodegenerative dementia using brain SPECT and 3D-SSP

    Energy Technology Data Exchange (ETDEWEB)

    Ishii, Kazunari; Kanda, Tomonori; Uemura, Takafumi; Miyamoto, Naokazu; Yoshikawa, Toshiki [Hyogo Brain and Heart Center, Department of Radiology and Nuclear Medicine, Himeji, Hyogo (Japan); Shimada, Kenichi; Ohkawa, Shingo [Hyogo Brain and Heart Center, Institute for Aging Brain and Cognitive Disorders, Himeji, Hyogo (Japan); Minoshima, Satoshi [University of Washington, Radiology and Bioengineering, Department of Radiology, Seattle, WA (United States)

    2009-05-15

    To develop a computer-assisted automated diagnostic system to distinguish among Alzheimer disease (AD), dementia with Lewy bodies (DLB), and other degenerative disorders in patients with mild dementia. Single photon emission computed tomography (SPECT) images with injection of N-Isopropyl-p-[{sup 123}I]iodoamphetamine (IMP) were obtained from patients with mild degenerative dementia. First, datasets from 20 patients mild AD, 15 patients with dementia with DLB, and 17 healthy controls were used to develop an automated diagnosing system based on three-dimensional stereotactic surface projections (3D-SSP). AD- and DLB-specific regional templates were created using 3D-SSP, and critical Z scores in the templates were established. Datasets from 50 AD patients, 8 DLB patients, and 10 patients with non-AD/DLB type degenerative dementia (5 with frontotemporal dementia and 5 with progressive supranuclear palsy) were then used to test the diagnostic accuracy of the optimized automated system in comparison to the diagnostic interpretation of conventional IMP-SPECT images. These comparisons were performed to differentiate AD and DLB from non-AD/DLB and to distinguish AD from DLB. A receiver operating characteristic (ROC) analysis was performed. The area under the ROC curve (Az) and the accuracy of the automated diagnosis system were 0.89 and 82%, respectively, for AD/DLB vs. non-AD/DLB patients, and 0.70 and 65%, respectively, for AD vs. DLB patients. The mean Az and the accuracy of the visual inspection were 0.84 and 77%, respectively, for AD/DLB vs. non-AD/DLB patients, and 0.70 and 65%, respectively, for AD vs. DLB patients. The mean Az and the accuracy of the combination of visual inspection and this system were 0.96 and 91%, respectively, for AD/DLB vs. non-AD/DLB patients, and 0.70 and 66%, respectively, for AD vs. DLB patients. The system developed in the present study achieved as good discrimination of AD, DLB, and other degenerative disorders in patients with mild

  12. Use of the isabel decision support system to improve diagnostic accuracy of pediatric nurse practitioner and family nurse practitioner students.

    Science.gov (United States)

    John, Rita Marie; Hall, Elizabeth; Bakken, Suzanne

    2012-01-01

    Patient safety is a priority for healthcare today. Despite a large proportion of malpractice claims the result of diagnostic error, the use of diagnostic decision support to improve diagnostic accuracy has not been widely used among healthcare professionals. Moreover, while the use of diagnostic decision support has been studied in attending physicians, residents, medical students and advanced practice nurses, the use of decision support among Advanced Practice Nurse (APN) students has not been studied. The authors have implemented the Isabel diagnostic decision support system into the curriculum and are evaluating its impact. The goals of the evaluation study are to describe the diagnostic accuracy and self-reported confidence levels of Pediatric Nurse Practitioner (PNP) and Family Nurse Practitioner (FNP) students over the course of their programs, to examine changes in diagnostic accuracy and self-reported confidence levels over the study period, and to evaluate differences between FNP and PNP students in diagnostic accuracy and self-reported confidence levels for pediatric cases. This paper summarizes establishment of the academic/industry collaboration, case generation, integration of Isabel into the curriculum, and evaluation design.

  13. A system for investigation of biological effects of diagnostic ultrasound on development of zebrafish embryos.

    Science.gov (United States)

    Miller, Douglas L; Zhou, Weibin

    2013-12-01

    A system for scanning zebrafish embryos with diagnostic ultrasound was developed for research into possible biological effects during development. Two troughs for holding embryos were formed from agarose in a rectangular dish and separated by an ultrasound absorber. A 4.9 MHz linear array ultrasound probe was positioned to uniformly scan all the embryos at the bottom of one trough, with the other used for controls. Zebrafish embryos were scanned continuously from 10-24 h post fertilization (hpf) during the segmentation period and gross morphological parameters were measured at 30 hpf, including viability, length, number of visible axons, and the progression of the lateral line primordium (LLP). Our initial tests were encumbered by the thermal effects of probe self-heating, which resulted in accelerated development of the zebrafish embryos. After subsequent optimization, our test revealed a significant retardation of primary motor axons and the migration of the LLP in embryos scanned with ultrasound, which indicated a potential for nonthermal effects on neuronal development. This diagnostic ultrasound exposure system is suitable for further investigation of possible subtle bioeffects, such as perturbation of neuronal migration.

  14. In Depth Diagnostics for RF System Operation in the PEP-II B Factory

    CERN Document Server

    Van Winkle, Daniel; Teytelman, Dmitry

    2005-01-01

    The PEP-II RF systems incorporate numerous feedback loops in the low-level processing for impedance control and operating point regulation. The interaction of the multiple loops with the beam is complicated, and the systems incorporate online diagnostic tools to configure the feedback loops as well as to record fault files in the case of an RF abort. Rapid and consistent analysis of the RF-related beam aborts and other failures is critical to the reliable operation of the B-Factory, especially at the recently achieved high beam currents. Procedures and algorithms used to extract diagnostic information from time domain fault files are presented and illustrated via example interpretations of PEP-II fault file data. Example faults presented will highlight the subtle interpretation required to determine to root cause. Some such examples are: abort kicker firing asynchronously, klystron and cavity arcs, beam loss leading to longitudinal instability, tuner read back jumps and poorly configured low-level RF feedback...

  15. Diagnostics in a digital age: an opportunity to strengthen health systems and improve health outcomes.

    Science.gov (United States)

    Peeling, Rosanna W

    2015-11-01

    Diagnostics play a critical role in clinical decision making, and in disease control and prevention. Rapid point-of-care (POC) tests for infectious diseases can improve access to diagnosis and patient management, but the quality of these tests vary, quality of testing is often not assured and there are few mechanisms to capture test results for surveillance when the testing is so decentralised. A new generation of POC molecular tests that are highly sensitive and specific, robust and easy to use are now available for deployment in low resource settings. Decentralisation of testing outside of the laboratory can put tremendous stress on the healthcare system and presents challenges for training and quality assurance. A feature of many of these POC molecular devices is that they are equipped with data transmission capacities. In a digital age, it is possible to link data from diagnostic laboratories and POC test readers and devices to provide data on testing coverage, disease trends and timely information for early warning of infectious disease outbreaks to inform design or optimisation of disease control and elimination programmes. Data connectivity also allows control programmes to monitor the quality of tests and testing, and optimise supply chain management; thus, increasing the efficiency of healthcare systems and improving patient outcomes.

  16. In Depth Diagnostics for RF System Operation in the PEP-II B Factory

    Energy Technology Data Exchange (ETDEWEB)

    Van Winkle, Daniel; Fox, John; Teytelman, Dmitry; /SLAC

    2005-05-27

    The PEP-II RF systems incorporate numerous feedback loops in the low-level processing for impedance control and operating point regulation. The interaction of the multiple loops with the beam is complicated, and the systems incorporate online diagnostic tools to configure the feedback loops as well as to record fault files in the case of an RF abort. Rapid and consistent analysis of the RF-related beam aborts and other failures is critical to the reliable operation of the B-Factory, especially at the recently achieved high beam currents. Procedures and algorithms used to extract diagnostic information from time domain fault files are presented and illustrated via example interpretations of PEP-II fault file data. Example faults presented will highlight the subtle interpretation required to determine the root cause. Some such examples are: abort kicker firing asynchronously, klystron and cavity arcs, beam loss leading to longitudinal instability, tuner read back jumps and poorly configured low-level RF feedback loop.

  17. A Chinese literature overview on ultra-weak photon emission as promising technology for studying system-based diagnostics.

    Science.gov (United States)

    He, Min; Sun, Mengmeng; van Wijk, Eduard; van Wietmarschen, Herman; van Wijk, Roeland; Wang, Zhihong; Wang, Mei; Hankemeier, Thomas; van der Greef, Jan

    2016-04-01

    To present the possibilities pertaining to linking ultra-weak photon emission (UPE) with Chinese medicine-based diagnostics principles, we conducted a review of Chinese literature regarding UPE with respect to a systems view of diagnostics. Data were summarized from human clinical studies and animal models published from 1979 through 1998. The research fields can be categorized as follows: (1) human physiological states measured using UPE; (2) characteristics of human UPE in relation to various pathological states; and (3) the relationship between diagnosis (e.g., Chinese syndromes) and the dynamics of UPE in animal models. We conclude that UPE has clear potential in terms of understanding the systems view on health and disease as described using Chinese medicine-based diagnostics, particularly from a biochemistry-based regulatory perspective. Linking UPE with metabolomics can further bridge biochemistry-based Western diagnostics with the phenomenology-based Chinese diagnostics, thus opening new avenues for studying systems diagnostics in the early stage of disease, for prevention-based strategies, as well as for systems-based intervention in chronic disease.

  18. Application Of The CSRL Language To The Design Of Diagnostic Expert Systems: The Moodis Experience, A Preliminary Report

    Science.gov (United States)

    Bravos, Angelo; Hill, Howard; Choca, James; Bresolin, Linda B.; Bresolin, Michael J.

    1986-03-01

    Computer technology is rapidly becoming an inseparable part of many health science specialties. Recently, a new area of computer technology, namely Artificial Intelligence, has been applied toward assisting the medical experts in their diagnostic and therapeutic decision making process. MOODIS is an experimental diagnostic expert system which assists Psychiatry specialists in diagnosing human Mood Disorders, better known as Affective Disorders. Its diagnostic methodology is patterned after MDX, a diagnostic expert system developed at LAIR (Laboratory for Artificial Intelligence Research) of Ohio State University. MOODIS is implemented in CSRL (Conceptual Structures Representation Language) also developed at LAIR. This paper describes MOODIS in terms of conceptualization and requirements, and discusses why the MDX approach and CSRL were chosen.

  19. Fluorescence-Raman Dual Modal Endoscopic System for Multiplexed Molecular Diagnostics

    Science.gov (United States)

    Jeong, Sinyoung; Kim, Yong-Il; Kang, Homan; Kim, Gunsung; Cha, Myeong Geun; Chang, Hyejin; Jung, Kyung Oh; Kim, Young-Hwa; Jun, Bong-Hyun; Hwang, Do Won; Lee, Yun-Sang; Youn, Hyewon; Lee, Yoon-Sik; Kang, Keon Wook; Lee, Dong Soo; Jeong, Dae Hong

    2015-03-01

    Optical endoscopic imaging, which was recently equipped with bioluminescence, fluorescence, and Raman scattering, allows minimally invasive real-time detection of pathologies on the surface of hollow organs. To characterize pathologic lesions in a multiplexed way, we developed a dual modal fluorescence-Raman endomicroscopic system (FRES), which used fluorescence and surface-enhanced Raman scattering nanoprobes (F-SERS dots). Real-time, in vivo, and multiple target detection of a specific cancer was successful, based on the fast imaging capability of fluorescence signals and the multiplex capability of simultaneously detected SERS signals using an optical fiber bundle for intraoperative endoscopic system. Human epidermal growth factor receptor 2 (HER2) and epidermal growth factor receptor (EGFR) on the breast cancer xenografts in a mouse orthotopic model were successfully detected in a multiplexed way, illustrating the potential of FRES as a molecular diagnostic instrument that enables real-time tumor characterization of receptors during routine endoscopic procedures.

  20. A fully automated in vitro diagnostic system based on magnetic tunnel junction arrays and superparamagnetic particles

    Science.gov (United States)

    Lian, Jie; Chen, Si; Qiu, Yuqin; Zhang, Suohui; Shi, Stone; Gao, Yunhua

    2012-04-01

    A fully automated in vitro diagnostic (IVD) system for diagnosing acute myocardial infarction was developed using high sensitivity MTJ array as sensors and nano-magnetic particles as tags. On the chip is an array of 12 × 106 MTJ devices integrated onto a 3 metal layer CMOS circuit. The array is divided into 48 detection areas, therefore 48 different types of bio targets can be analyzed simultaneously if needed. The chip is assembled with a micro-fluidic cartridge which contains all the reagents necessary for completing the assaying process. Integrated with electrical, mechanical and micro-fluidic pumping devices and with the reaction protocol programed in a microprocessor, the system only requires a simple one-step analyte application procedure to operate and yields results of the three major AMI bio-markers (cTnI, MYO, CK-MB) in 15 mins.

  1. [EOS imaging acquisition system : 2D/3D diagnostics of the skeleton].

    Science.gov (United States)

    Tarhan, T; Froemel, D; Meurer, A

    2015-12-01

    The application spectrum of the EOS imaging acquisition system is versatile. It is especially useful in the diagnostics and planning of corrective surgical procedures in complex orthopedic cases. The application is indicated when assessing deformities and malpositions of the spine, pelvis and lower extremities. It can also be used in the assessment and planning of hip and knee arthroplasty. For the first time physicians have the opportunity to conduct examinations of the whole body under weight-bearing conditions in order to anticipate the effects of a planned surgical procedure on the skeletal system as a whole and therefore on the posture of the patient. Compared to conventional radiographic examination techniques, such as x-ray or computed tomography, the patient is exposed to much less radiation. Therefore, the pediatric application of this technique can be described as reasonable.

  2. Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms

    Directory of Open Access Journals (Sweden)

    Ammara Masood

    2013-01-01

    Full Text Available Image-based computer aided diagnosis systems have significant potential for screening and early detection of malignant melanoma. We review the state of the art in these systems and examine current practices, problems, and prospects of image acquisition, pre-processing, segmentation, feature extraction and selection, and classification of dermoscopic images. This paper reports statistics and results from the most important implementations reported to date. We compared the performance of several classifiers specifically developed for skin lesion diagnosis and discussed the corresponding findings. Whenever available, indication of various conditions that affect the technique’s performance is reported. We suggest a framework for comparative assessment of skin cancer diagnostic models and review the results based on these models. The deficiencies in some of the existing studies are highlighted and suggestions for future research are provided.

  3. Embedded diagnostic, prognostic, and health management system and method for a humanoid robot

    Science.gov (United States)

    Barajas, Leandro G. (Inventor); Sanders, Adam M (Inventor); Reiland, Matthew J (Inventor); Strawser, Philip A (Inventor)

    2013-01-01

    A robotic system includes a humanoid robot with multiple compliant joints, each moveable using one or more of the actuators, and having sensors for measuring control and feedback data. A distributed controller controls the joints and other integrated system components over multiple high-speed communication networks. Diagnostic, prognostic, and health management (DPHM) modules are embedded within the robot at the various control levels. Each DPHM module measures, controls, and records DPHM data for the respective control level/connected device in a location that is accessible over the networks or via an external device. A method of controlling the robot includes embedding a plurality of the DPHM modules within multiple control levels of the distributed controller, using the DPHM modules to measure DPHM data within each of the control levels, and recording the DPHM data in a location that is accessible over at least one of the high-speed communication networks.

  4. Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms

    Science.gov (United States)

    Masood, Ammara; Al-Jumaily, Adel Ali

    2013-01-01

    Image-based computer aided diagnosis systems have significant potential for screening and early detection of malignant melanoma. We review the state of the art in these systems and examine current practices, problems, and prospects of image acquisition, pre-processing, segmentation, feature extraction and selection, and classification of dermoscopic images. This paper reports statistics and results from the most important implementations reported to date. We compared the performance of several classifiers specifically developed for skin lesion diagnosis and discussed the corresponding findings. Whenever available, indication of various conditions that affect the technique's performance is reported. We suggest a framework for comparative assessment of skin cancer diagnostic models and review the results based on these models. The deficiencies in some of the existing studies are highlighted and suggestions for future research are provided. PMID:24575126

  5. A Review on Traditional Caries Diagnostic Systems and Introduction of New International Caries Detection and Assessment System (ICDAS

    Directory of Open Access Journals (Sweden)

    Malek Mohammadi T.

    2011-04-01

    Full Text Available Dental caries is a chronic infection disease that manifests itself through demineralization of dental tissues and cavitations in the tooth structure. The diagnosis of dental caries poses challenges due to the complex interaction of multiple endogenous causal factors. Naturally, visual and visual-tactile examinations have been the most commonly used diagnostic aids in caries examination for many years. A major drawback in common dental examination was the use of varied diagnostic criteria by various authors. Some extensive reviews regarding this have emphasized the need for a unique system for the diagnosis of such caries. Thus, International Caries Detection and Assessment System (ICDAS emerged as a benchmark for detection and assessment of dental caries. The main objective of the new system is to improve the level of information to help make informed decision about diagnosis, prognosis, and clinical management of caries at both individual and public health levels.This study aimed to review traditional caries diagnosis methods and also describe the philosophy of the new ICDAS system for diagnosis and assessment of caries and also demonstrate how it can serve as a basis and benchmark for clinical and epidemiological research.

  6. Optical diagnostics based on elastic scattering: Recent clinical demonstrations with the Los Alamos Optical Biopsy System

    Energy Technology Data Exchange (ETDEWEB)

    Bigio, I.J.; Loree, T.R.; Mourant, J.; Shimada, T. [Los Alamos National Lab., NM (United States); Story-Held, K.; Glickman, R.D. [Texas Univ. Health Science Center, San Antonio, TX (United States). Dept. of Ophthalmology; Conn, R. [Lovelace Medical Center, Albuquerque, NM (United States). Dept. of Urology

    1993-08-01

    A non-invasive diagnostic tool that could identify malignancy in situ and in real time would have a major impact on the detection and treatment of cancer. We have developed and are testing early prototypes of an optical biopsy system (OBS) for detection of cancer and other tissue pathologies. The OBS invokes a unique approach to optical diagnosis of tissue pathologies based on the elastic scattering properties, over a wide range of wavelengths, of the microscopic structure of the tissue. The use of elastic scattering as the key to optical tissue diagnostics in the OBS is based on the fact that many tissue pathologies, including a majority of cancer forms, manifest significant architectural changes at the cellular and sub-cellular level. Since the cellular components that cause elastic scattering have dimensions typically on the order of visible to near-IR wavelengths, the elastic (Mie) scattering properties will be strongly wavelength dependent. Thus, morphology and size changes can be expected to cause significant changes in an optical signature that is derived from the wavelength dependence of elastic scattering. The data acquisition and storage/display time with the OBS instrument is {approximately}1 second. Thus, in addition to the reduced invasiveness of this technique compared with current state-of-the-art methods (surgical biopsy and pathology analysis), the OBS offers the possibility of impressively faster diagnostic assessment. The OBS employs a small fiber-optic probe that is amenable to use with any endoscope, catheter or hypodermic, or to direct surface examination (e.g. as in skin cancer or cervical cancer). It has been tested in vitro on animal and human tissue samples, and clinical testing in vivo is currently in progress.

  7. EMAT weld inspection and weld machine diagnostic system for continuous coil processing lines

    Science.gov (United States)

    Latham, Wayne M.; MacLauchlan, Daniel T.; Geier, Dan P.; Lang, Dennis D.

    1996-11-01

    Weld breaks of steel coil during cold rolling and continuous pickling operations are a significant source of lost productivity and product yield. Babcock and Wilcox Innerspec Technologies has developed a weld process control system which monitors the key variables of the welding process and determines the quality of the welds generated by flash butt welding equipment. This system is known as the Temate 2000 Automated Flash Butt Weld Inspection and Weld Machine Diagnostic System. The Temate 2000 system utilizes electro- magnetic acoustic transducer (EMAT) technology as the basis for performing on-line, real-time, nondestructive weld quality evaluation. This technique accurately detects voids, laps, misalignment and over/under trim conditions in the weld. Results of the EMAT weld inspection are immediately presented to the weld machine operator for disposition. Welding process variables such as voltage, current, platen movements and upset pressures are monitored and collected with the high speed data acquisition system. This data is processed and presented in real-time display to indicate useful welding process information such as platen crabbing, upset force, peak upset current, and many others. Alarming for each variable is provided and allows detailed maintenance reports and summary information to be generated. All weld quality and process parameter data are stored, traceable to each unique weld, and available for post process evaluation. Installation of the Temate 2000 system in a major flat rolled steel mill has contributed to near elimination of weld breakage and increased productivity at this facility.

  8. Computer-based diagnostic expert systems in rheumatology: where do we stand in 2014?

    Science.gov (United States)

    Alder, Hannes; Michel, Beat A; Marx, Christian; Tamborrini, Giorgio; Langenegger, Thomas; Bruehlmann, Pius; Steurer, Johann; Wildi, Lukas M

    2014-01-01

    Background. The early detection of rheumatic diseases and the treatment to target have become of utmost importance to control the disease and improve its prognosis. However, establishing a diagnosis in early stages is challenging as many diseases initially present with similar symptoms and signs. Expert systems are computer programs designed to support the human decision making and have been developed in almost every field of medicine. Methods. This review focuses on the developments in the field of rheumatology to give a comprehensive insight. Medline, Embase, and Cochrane Library were searched. Results. Reports of 25 expert systems with different design and field of application were found. The performance of 19 of the identified expert systems was evaluated. The proportion of correctly diagnosed cases was between 43.1 and 99.9%. Sensitivity and specificity ranged from 62 to 100 and 88 to 98%, respectively. Conclusions. Promising diagnostic expert systems with moderate to excellent performance were identified. The validation process was in general underappreciated. None of the systems, however, seemed to have succeeded in daily practice. This review identifies optimal characteristics to increase the survival rate of expert systems and may serve as valuable information for future developments in the field.

  9. Development of simple designs of multitip probe diagnostic systems for RF plasma characterization.

    Science.gov (United States)

    Naz, M Y; Shukrullah, S; Ghaffar, A; Rehman, N U

    2014-01-01

    Multitip probes are very useful diagnostics for analyzing and controlling the physical phenomena occurring in low temperature discharge plasmas. However, DC biased probes often fail to perform well in processing plasmas. The objective of the work was to deduce simple designs of DC biased multitip probes for parametric study of radio frequency plasmas. For this purpose, symmetric double probe, asymmetric double probe, and symmetric triple probe diagnostic systems and their driving circuits were designed and tested in an inductively coupled plasma (ICP) generated by a 13.56 MHz radio frequency (RF) source. Using I-V characteristics of these probes, electron temperature, electron number density, and ion saturation current was measured as a function of input power and filling gas pressure. An increasing trend was noticed in electron temperature and electron number density for increasing input RF power whilst a decreasing trend was evident in these parameters when measured against filling gas pressure. In addition, the electron energy probability function (EEPF) was also studied by using an asymmetric double probe. These studies confirmed the non-Maxwellian nature of the EEPF and the presence of two groups of the energetic electrons at low filling gas pressures.

  10. Development of Simple Designs of Multitip Probe Diagnostic Systems for RF Plasma Characterization

    Directory of Open Access Journals (Sweden)

    M. Y. Naz

    2014-01-01

    Full Text Available Multitip probes are very useful diagnostics for analyzing and controlling the physical phenomena occurring in low temperature discharge plasmas. However, DC biased probes often fail to perform well in processing plasmas. The objective of the work was to deduce simple designs of DC biased multitip probes for parametric study of radio frequency plasmas. For this purpose, symmetric double probe, asymmetric double probe, and symmetric triple probe diagnostic systems and their driving circuits were designed and tested in an inductively coupled plasma (ICP generated by a 13.56 MHz radio frequency (RF source. Using I-V characteristics of these probes, electron temperature, electron number density, and ion saturation current was measured as a function of input power and filling gas pressure. An increasing trend was noticed in electron temperature and electron number density for increasing input RF power whilst a decreasing trend was evident in these parameters when measured against filling gas pressure. In addition, the electron energy probability function (EEPF was also studied by using an asymmetric double probe. These studies confirmed the non-Maxwellian nature of the EEPF and the presence of two groups of the energetic electrons at low filling gas pressures.

  11. Comparison of the diagnostic utility of digital pathology systems for telemicrobiology

    Science.gov (United States)

    Rhoads, Daniel D.; Habib-Bein, Nadia F.; Hariri, Rahman S.; Hartman, Douglas J.; Monaco, Sara E.; Lesniak, Andrew; Duboy, Jon; Salama, Mohamed El-Sayed; Pantanowitz, Liron

    2016-01-01

    Introduction: Telemicrobiology is a growing component of clinical microbiology informatics. However, few studies have been performed to assess the diagnostic utility of telemicroscopy systems in evaluating infectious agents. Objective: Evaluate multiple contemporary digital pathology platforms for use in diagnostic telemicrobiology. Materials and Methods: A mix of thirty cases that included viral, bacterial, fungal, and parasitological findings were evaluated by four experts using ×40 whole slide imaging (WSI) scans, ×83 oil-immersion WSI scans, ×100 oil-immersion WSI scans, digital photomicrographs, and glass slides. Results: The ×83 WSI, ×100 WSI, and photomicrograph interpretations were not significantly different in quality and accuracy when compared to glass slide interpretations. The ×40 WSI interpretations were of lower quality and were more likely to be incorrect when compared to glass slide interpretations. Conclusions: In this study, high magnification, oil-immersion digital pathology platforms are better suited to support telemicrobiology applications and yield interpretations on par with glass slide evaluations. PMID:27076988

  12. Synthetic Diagnostics Of The JET System Of The JET-2 Unmanned Drone

    Directory of Open Access Journals (Sweden)

    Sabak Ryszard

    2014-12-01

    Full Text Available In recent years, , newer and newer designs of unmanned air vehicles have been appeared and in a spread and spread area. That is why, their service and in particular their diagnostics should be carried out both before and in each flight. In this paper, a description of both unmanned air vehicle JET-2 and its units and control system are presented. The paper includes also description of signals which are transmitted in a real time from the dron to the flight control station. These signals enable to state whether the vehicle works in a correct way. An interactive diagnostics model is presented as two united equations of state which are based on an observation that the usable value of the UAV resulting from its working standards, depends on its technical condition and what is more, technical condition depends on its working condition (intensity of usage. It should be stated that technical conditions are an environment for working conditions and working conditions are an environments for technical conditions. Presented model gives a comprehensive information about technical and working capability of a vehicle. It enables to plan next flights taking into account their currant potential and capability.

  13. FAR-TECH's Nanoparticle Plasma Jet System and its Application to Disruptions, Deep Fueling, and Diagnostics

    Science.gov (United States)

    Thompson, J. R.; Bogatu, I. N.; Galkin, S. A.; Kim, J. S.

    2012-10-01

    Hyper-velocity plasma jets have potential applications in tokamaks for disruption mitigation, deep fueling and diagnostics. Pulsed power based solid-state sources and plasma accelerators offer advantages of rapid response and mass delivery at high velocities. Fast response is critical for some disruption mitigation scenario needs, while high velocity is especially important for penetration into tokamak plasma and its confining magnetic field, as in the case of deep fueling. FAR-TECH is developing the capability of producing large-mass hyper-velocity plasma jets. The prototype solid-state source has produced: 1) >8.4 mg of H2 gas only, and 2) >25 mg of H2 and >180 mg of C60 in a H2/C60 gas mixture. Using a coaxial plasma gun coupled to the source, we have successfully demonstrated the acceleration of composite H/C60 plasma jets, with momentum as high as 0.6 g.km/s, and containing an estimated C60 mass of ˜75 mg. We present the status of FAR-TECH's nanoparticle plasma jet system and discuss its application to disruptions, deep fueling, and diagnostics. A new TiH2/C60 solid-state source capable of generating significantly higher quantities of H2 and C60 in <0.5 ms will be discussed.

  14. Coronary Heart Disease Preoperative Gesture Interactive Diagnostic System Based on Augmented Reality.

    Science.gov (United States)

    Zou, Yi-Bo; Chen, Yi-Min; Gao, Ming-Ke; Liu, Quan; Jiang, Si-Yu; Lu, Jia-Hui; Huang, Chen; Li, Ze-Yu; Zhang, Dian-Hua

    2017-08-01

    Coronary heart disease preoperative diagnosis plays an important role in the treatment of vascular interventional surgery. Actually, most doctors are used to diagnosing the position of the vascular stenosis and then empirically estimating vascular stenosis by selective coronary angiography images instead of using mouse, keyboard and computer during preoperative diagnosis. The invasive diagnostic modality is short of intuitive and natural interaction and the results are not accurate enough. Aiming at above problems, the coronary heart disease preoperative gesture interactive diagnostic system based on Augmented Reality is proposed. The system uses Leap Motion Controller to capture hand gesture video sequences and extract the features which that are the position and orientation vector of the gesture motion trajectory and the change of the hand shape. The training planet is determined by K-means algorithm and then the effect of gesture training is improved by multi-features and multi-observation sequences for gesture training. The reusability of gesture is improved by establishing the state transition model. The algorithm efficiency is improved by gesture prejudgment which is used by threshold discriminating before recognition. The integrity of the trajectory is preserved and the gesture motion space is extended by employing space rotation transformation of gesture manipulation plane. Ultimately, the gesture recognition based on SRT-HMM is realized. The diagnosis and measurement of the vascular stenosis are intuitively and naturally realized by operating and measuring the coronary artery model with augmented reality and gesture interaction techniques. All of the gesture recognition experiments show the distinguish ability and generalization ability of the algorithm and gesture interaction experiments prove the availability and reliability of the system.

  15. David Skae and his nineteenth century etiologic psychiatric diagnostic system: looking forward by looking back.

    Science.gov (United States)

    Kendler, K S

    2017-03-14

    The Kraepelinian syndromal approach to diagnosis taken by DSM-III and its successors, which defines disorders by their clinical phenomenon, has come under rising criticism with increasing calls for an etiologically based nosology. The relative virtues of a syndromal versus etiologic psychiatric nosology have actually been debated within our field for a long time. To deepen and historically contextualize our current discussion, I review in detail the proposal for etiologic diagnostic systems for insanity by David Skae (1814-1873). While his proposal was intuitive and appealing to some, others questioned its viability and utility pointing out a number of potential problems in its implementation that remain relevant today. Something critical might be lost for psychiatric disorders, they argued, if mental symptoms were removed from diagnostic criteria. Etiologically based diagnoses work best for mono-causal disorders and those where the causes all operate on the same scientific level. However, psychiatric disorders are highly multifactorial with a wide diversity of risk factors spread across biological, psychological and social-environmental domains so identification of a particular cause on which to base diagnoses would be difficult. Not only do individual risk factors contribute to many different disorders but most disorders are influenced by many etiologic factors. With respect to causes and disorders, psychiatry is characterized by a 'many to many' relationship which would make an etiologic nosologic system inherently problematic. Finally, causes and effects can be devilishly difficult to distinguish for psychiatric illness and, while clinically based nosologies aid in differential diagnosis, etiologically based system might not operate similarly.Molecular Psychiatry advance online publication, 14 March 2017; doi:10.1038/mp.2017.32.

  16. A diagnostic procedure for applying the social-ecological systems framework in diverse cases

    Directory of Open Access Journals (Sweden)

    Jochen Hinkel

    2015-03-01

    Full Text Available The framework for analyzing sustainability of social-ecological systems (SES framework of Elinor Ostrom is a multitier collection of concepts and variables that have proven to be relevant for understanding outcomes in diverse SES. The first tier of this framework includes the concepts resource system (RS and resource units (RU, which are then further characterized through lower tier variables such as clarity of system boundaries and mobility. The long-term goal of framework development is to derive conclusions about which combinations of variables explain outcomes across diverse types of SES. This will only be possible if the concepts and variables of the framework can be made operational unambiguously for the different types of SES, which, however, remains a challenge. Reasons for this are that case studies examine other types of RS than those for which the framework has been developed or consider RS for which different actors obtain different kinds of RU. We explore these difficulties and relate them to antecedent work on common-pool resources and public goods. We propose a diagnostic procedure which resolves some of these difficulties by establishing a sequence of questions that facilitate the step-wise and unambiguous application of the SES framework to a given case. The questions relate to the actors benefiting from the SES, the collective goods involved in the generation of those benefits, and the action situations in which the collective goods are provided and appropriated. We illustrate the diagnostic procedure for four case studies in the context of irrigated agriculture in New Mexico, common property meadows in the Swiss Alps, recreational fishery in Germany, and energy regions in Austria. We conclude that the current SES framework has limitations when applied to complex, multiuse SES, because it does not sufficiently capture the actor interdependencies introduced through RS and RU characteristics and dynamics.

  17. Flexible intelligence remote diagnostic decision system using fuzzy technology. Advancement of diagnostic decision for computers; Fuzzy gijutsu wo oyoshita remote kosho shindan system. Computer kosho shindan no koseinoka ni tsuite

    Energy Technology Data Exchange (ETDEWEB)

    Yokota, A.

    1996-06-01

    AV/Alert system of U.S. Data General Co. (DGC) is a system which performs the remote trouble response to UNIX servers of DGC. As the diagnostic decision has provided low accuracy, highly skilled field engineers have been required. Accordingly, the enhancement of accuracy in the diagnostic decision has been strongly required. For the purpose of drastic improvement in accuracy of the diagnostic decision without experts utilizing fuzzy technology, a flexible intelligence diagnostic decision system (FI-DDS) of AV/Alert has been developed. The FI-remote-DDS is composed of AV/Alert, FI-DDS, and an automatic accumulation software for accident examples. The FI-DDS has made the diagnostic decision engine of AV/Alert highly accurate. The automatic accumulation software for accident examples provides accident examples and statistic data of accident examples required by FI-DDS, automatically. The system was found to be extremely useful from the analytic results of error code and factors using about 400 actual accident example data in the past. 4 figs.

  18. Diagnostic accuracy of frozen section in Central nervous system lesions, a 10-year study.

    Directory of Open Access Journals (Sweden)

    Maliheh KHODDAMI*

    2015-01-01

    Full Text Available How to Cite This Article: Khoddami M, Akbarzadeh A, Mordai A, Bidari Zerehpoush F, Alipour H, Samadzadeh S, Alipour B.Diagnostic Accuracy of Frozen Section of Central Nervous System Lesions: A 10-Year Study. Iran J Child Neurol. 2015 Winter;9(1:25-30. AbstractObjectiveDefinitive diagnosis of the central nervous system (CNS lesions is unknown prior to histopathological examination. To determine the method and the endpoint for surgery, intraoperative evaluation of the lesion helps the surgeon.In this study, the diagnostic accuracy and pitfalls of using frozen section (FS ofCNS lesions is determined.Materials & MethodsIn this retrospective study, we analyzed the results of FS and permanent diagnoses of all CNS lesions by reviewing reports from 3 general hospitals between March 2001 and March 2011.Results273 cases were reviewed and patients with an age range from 3 to 77 years of age were considered. 166 (60.4% had complete concordance between FS and permanent section diagnosis, 83 (30.2% had partial concordance, and 24 cases (9.5% were discordant. Considering the concordant and partially concordant cases, the accuracy rate was 99.5%, sensitivity was 91.4%, specificity was 99.7%, and positive and negative predictive values were 88.4% and 99.8%, respectively.ConclusionOur results show high sensitivity and specificity of FS diagnosis in the evaluation of CNS lesions. A Kappa agreement score of 0.88 shows high concordance for FS results with permanent section. Pathologist’s misinterpretation, small biopsy samples (not representative of the entire tumor, suboptimal slides, and inadequate information about tumor location and radiologic findings appear to be the major causes for these discrepancies indicated from our study. ReferencesTaxy JB, Anthony G. Biopsy interpretation: the frozen section. 1st ed. China: Lippincott Williams & Wilkins; 2010. P.301-3.Somerset HL, Kleinschmidt-DeMasters BK. Approach to the intraoperative consultation for

  19. Fast data transmission in dynamic data acquisition system for plasma diagnostics

    Science.gov (United States)

    Byszuk, Adrian; Poźniak, Krzysztof; Zabołotny, Wojciech M.; Kasprowicz, Grzegorz; Wojeński, Andrzej; Cieszewski, Radosław; Juszczyk, Bartłomiej; Kolasiński, Piotr; Zienkiewicz, Paweł; Chernyshova, Maryna; Czarski, Tomasz

    2014-11-01

    This paper describes architecture of a new data acquisition system (DAQ) targeted mainly at plasma diagnostic experiments. Modular architecture, in combination with selected hardware components, allows for straightforward reconfiguration of the whole system, both offline and online. Main emphasis will be put into the implementation of data transmission subsystem in said system. One of the biggest advantages of described system is modular architecture with well defined boundaries between main components: analog frontend (AFE), digital backplane and acquisition/control software. Usage of a FPGA chips allows for a high flexibility in design of analog frontends, including ADC FPGA interface. Data transmission between backplane boards and user software was accomplished with the use of industry-standard PCI Express (PCIe) technology. PCIe implementation includes both FPGA firmware and Linux device driver. High flexibility of PCIe connections was accomplished due to use of configurable PCIe switch. Whenever it's possible, described DAQ system tries to make use of standard off-the-shelf (OTF) components, including typical x86 CPU & motherboard (acting as PCIe controller) and cabling.

  20. The upgraded JET toroidal Alfvén eigenmode diagnostic system

    Science.gov (United States)

    Puglia, P.; Pires de Sa, W.; Blanchard, P.; Dorling, S.; Dowson, S.; Fasoli, A.; Figueiredo, J.; Galvão, R.; Graham, M.; Jones, G.; Perez von Thun, C.; Porkolab, M.; Ruchko, L.; Testa, D.; Woskov, P.; Albarracin-Manrique, M. A.; Contributors, JET

    2016-11-01

    The main characteristics of toroidal Alfvén eigenmodes (TAEs) have been successfully investigated in JET (Joint European Torus) using the scheme of sweeping-frequency external excitation with tracking of the synchronously-detected resonances. However, due to technical limitations, only modes with low values of the toroidal mode number n≤slant 7 could be effectively excited and unambiguously identified by the Alfvén Eigenmode Active Diagnostic (AEAD) system. This represents a serious restriction because theoretical models indicate that medium-n Alfvén eigenmodes (AEs) are the most prone to be destabilized by energetic particles in ignited plasmas and, therefore, reliable measurement of their damping rates remains a relevant issue to properly access their effect in ignited plasmas. For this reason, a major upgrade of the AEAD system has been carried out aiming at providing a state-of-the-art excitation and real-time detection system for the planned DT campaign in JET. This required the development of a new type of radio frequency amplifier and filter, not commercially available, and also a control system. In this paper, details of the concepts that are relevant to understand the operation of the new system in the next experimental campaigns are presented, as are the results of numerical simulations to model its performance.

  1. Development of intelligent control system for X-ray streak camera in diagnostic instrument manipulator

    Energy Technology Data Exchange (ETDEWEB)

    Pei, Chengquan [Key Laboratory for Physical Electronics and Devices of the Ministry of Education, Xi' an Jiaotong University, Xi' an 710049 (China); Wu, Shengli, E-mail: slwu@mail.xjtu.edu.cn [Key Laboratory for Physical Electronics and Devices of the Ministry of Education, Xi' an Jiaotong University, Xi' an 710049 (China); Tian, Jinshou [Xi' an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi' an 710119 (China); Liu, Zhen [Key Laboratory for Physical Electronics and Devices of the Ministry of Education, Xi' an Jiaotong University, Xi' an 710049 (China); Fang, Yuman [Key Laboratory for Physical Electronics and Devices of the Ministry of Education, Xi' an Jiaotong University, Xi' an 710049 (China); University of the Chinese Academy of Sciences, Beijing 100039 (China); Gao, Guilong; Liang, Lingliang [Key Laboratory for Physical Electronics and Devices of the Ministry of Education, Xi' an Jiaotong University, Xi' an 710049 (China); Xi' an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi' an 710119 (China); University of the Chinese Academy of Sciences, Beijing 100039 (China); Wen, Wenlong [Key Laboratory for Physical Electronics and Devices of the Ministry of Education, Xi' an Jiaotong University, Xi' an 710049 (China)

    2015-11-01

    An intelligent control system for an X ray streak camera in a diagnostic instrument manipulator (DIM) is proposed and implemented, which can control time delay, electric focusing, image gain adjustment, switch of sweep voltage, acquiring environment parameters etc. The system consists of 16 A/D converters and 16 D/A converters, a 32-channel general purpose input/output (GPIO) and two sensors. An isolated DC/DC converter with multi-outputs and a single mode fiber were adopted to reduce the interference generated by the common ground among the A/D, D/A and I/O. The software was designed using graphical programming language and can remotely access the corresponding instrument from a website. The entire intelligent control system can acquire the desirable data at a speed of 30 Mb/s and store it for later analysis. The intelligent system was implemented on a streak camera in a DIM and it shows a temporal resolution of 11.25 ps, spatial distortion of less than 10% and dynamic range of 279:1. The intelligent control system has been successfully used in a streak camera to verify the synchronization of multi-channel laser on the Inertial Confinement Fusion Facility.

  2. Engineering requirements due to the ESP/ESPN regulation apply at the port plug for ITER diagnostic system

    Energy Technology Data Exchange (ETDEWEB)

    Giacomin, T., E-mail: Thibaud.Giacomin@iter.org [ITER Organization, Route de Vinon sur Verdon, 13115 St Paul-lez-Durance (France); Delhom, D.; Drevon, J.-M. [Bertin Technologies, Aix en Provence (France); Guirao, J.; Iglesias, S. [NATEC Ingenieros (Spain); Jourdan, T. [ITER Organization, Route de Vinon sur Verdon, 13115 St Paul-lez-Durance (France); Loesser, D. [Princeton Plasma Physics Laboratory (United States); Maquet, P. [ITER Organization, Route de Vinon sur Verdon, 13115 St Paul-lez-Durance (France); Ordieres, J. [NATEC Ingenieros (Spain); Pak, S. [ITER Organization, Route de Vinon sur Verdon, 13115 St Paul-lez-Durance (France); Proust, M. [CEA Cadarache, St. Paul-lez-Durance (France); Smith, M. [Princeton Plasma Physics Laboratory (United States); Udintsev, V.S. [ITER Organization, Route de Vinon sur Verdon, 13115 St Paul-lez-Durance (France); Vacas, C. [NATEC Ingenieros (Spain); Walsh, M.J. [ITER Organization, Route de Vinon sur Verdon, 13115 St Paul-lez-Durance (France); Zhai, Y. [Princeton Plasma Physics Laboratory (United States)

    2015-10-15

    Highlights: • The ESP/ESPN regulation is applied to all equatorial and upper port-based diagnostic systems. • The EPP and UPP structure provides a flexible platform for a variety of diagnostics. • The EPP and UPP structure provide a support the diagnostic shielding module. - Abstract: Due to this position close to the plasma, the port plug structure and the diagnostic first wall (DFW) contain water to allow cooling during operation and for heating during bake-out. To remove the heat coming from the plasma due to radiation and neutrons, the pressure inside these structures should be up to 44 bars. On the other hand, the dominant load expected to drive the design of these structures is of electromagnetic origin during the plasma disruption. Description of the loads acting on DFWs and generic port plug structures and the significance of the load due to the water pressure, with implications on the design and inspection, are discussed in this paper.

  3. Diagnostic automated testing system for automotive ECU%汽车ECU诊断自动化测试系统

    Institute of Scientific and Technical Information of China (English)

    张永刚; 刘志峰

    2015-01-01

    The importance of developing and testing of automotive diagnostic function is rising,since the complexity of automotive electric and electronic systems are growing.This issue introduced a diagnostic automated testing system for automotive ECU(Electronic Control Unit),which tests the diagnostic protocol and diagnostic function automatically,significant increasing the efficiency and accuracy of diagnostic testing, also increasing the coverage and reproducibility of diagnostic testing.%汽车电子电器复杂度的提高使得汽车诊断功能的开发和测试愈加重要。本文介绍了一种汽车ECU(Electronic Control Unit)诊断自动化测试系统,可以实现ECU诊断协议及诊断功能的自动化测试,大幅提高诊断测试效率和精度,增加诊断测试的覆盖度和可重复性。

  4. Development of a computer-aided diagnostic system for Alzheimer's disease using magnetic resonance imaging

    CERN Document Server

    Murase, Kenya; Soma, Tsutomu

    2016-01-01

    Alzheimer's disease (AD) is the most common type of dementia accompanied with brain atrophy. Structural measurements of brain atrophy in specific brain structures such as hippocampus using magnetic resonance imaging (MRI) have been reported to detect the development of dementia early in the course of the disease. The purpose of this study was to develop a computer-aided diagnostic system for AD using MRI, which is based on the automatic volumetry of segmented brain images and generation of three-dimensional cortical thickness images using the Eulerian partial differential equation (PDE) approach. We investigated the effect of the inhomogeneity of magnetic field strength and statistical noise on the accuracy of our automatic volumetry and the PDE approach using the simulated MR images generated from BrainWeb. Our automatic volumetry and PDE approach were robust against inhomogeneous magnetic field strength. Although the accuracy of our automatic volumetry decreased with increasing statistical noise, it was mai...

  5. [An update of the diagnostic coding system by the Spanish Society of Pediatric Emergencies].

    Science.gov (United States)

    Benito Fernández, J; Luaces Cubells, C; Gelabert Colomé, G; Anso Borda, I

    2015-06-01

    The Quality Working Group of the Spanish Society of Pediatric Emergencies (SEUP) presents an update of the diagnostic coding list. The original list was prepared and published in Anales de Pediatría in 2000, being based on the International Coding system ICD-9-CM current at that time. Following the same methodology used at that time and based on the 2014 edition of the ICD-9-CM, 35 new codes have been added to the list, 15 have been updated, and a list of the most frequent references to trauma diagnoses in pediatrics have been provided. In the current list of diagnoses, SEUP reflects the significant changes that have taken place in Pediatric Emergency Services in the last decade. Copyright © 2014 Asociación Española de Pediatría. Published by Elsevier España, S.L.U. All rights reserved.

  6. New detection system and signal processing for the tokamak ISTTOK heavy ion beam diagnostic

    Energy Technology Data Exchange (ETDEWEB)

    Henriques, R. B.; Nedzelskiy, I. S.; Malaquias, A.; Fernandes, H. [Associacao Euratom/IST, Instituto de Plasmas e Fusao Nuclear, Instituto Superior Tecnico, Universidade Tecnica de Lisboa, 1049-001 Lisboa (Portugal)

    2012-10-15

    The tokamak ISTTOK heavy ion beam diagnostic (HIBD) operates with a multiple cell array detector (MCAD) that allows for the plasma density and the plasma density fluctuations measurements simultaneously at different sampling volumes across the plasma. To improve the capability of the plasma density fluctuations investigations, a new detection system and new signal conditioning amplifier have been designed and tested. The improvements in MCAD design are presented which allow for nearly complete suppression of the spurious plasma background signal by applying a biasing potential onto special electrodes incorporated into MCAD. The new low cost and small size transimpedance amplifiers are described with the parameters of 400 kHz, 10{sup 7} V/A, 0.4 nA of RMS noise, adequate for the plasma density fluctuations measurements.

  7. Intestinal pseudo-obstruction in patients with systemic lupus erythematosus: a real diagnostic challenge.

    Science.gov (United States)

    García López, Carlos Alberto; Laredo-Sánchez, Fernando; Malagón-Rangel, José; Flores-Padilla, Miguel G; Nellen-Hummel, Haiko

    2014-08-28

    Intestinal pseudo-obstruction secondary to systemic lupus erythematosus (SLE) is a rare syndrome described in recent decades. There are slightly over 30 published cases in the English language literature, primarily associated with renal and hematological disease activity. Its presentation and evolution are a diagnostic challenge for the clinician. We present four cases of intestinal pseudo-obstruction due to lupus in young Mexican females. One patient had a previous diagnosis of SLE and all presented with a urinary tract infection of varying degrees of severity during their evolution. We consider that recognition of the disease is of vital importance because it allows for establishing appropriate management, leading to a better prognosis and avoiding unnecessary surgery and complications.

  8. Early evaluation of a second generation information monitoring and diagnostic system

    Energy Technology Data Exchange (ETDEWEB)

    Piette, Mary Ann; Kinney, Satkartar; Bourassa, Norman; Xu, Peng; Haves, Philip; Kinney, Kristopher; Shockman, Christine

    2002-03-25

    Private sector commercial office buildings are challenging environments for energy efficiency projects. This challenge is related to the complexity of business environments that involve ownership, operation, and tenant relationships. Whether it is poor quality design, inefficient operations, degradation of equipment over time, or merely the increasing use of energy by tenants and inattention from landlords, commercial office building energy use continues to increase. This research project was developed to examine the environment for building operations and identify causes of inefficient use of energy related to technical and organizational issues. This report discusses a second-generation Information Monitoring and Diagnostic System (IMDS) installed at a leased office building in Sacramento, California. The report begins with a brief summary of the IMDS research at the previous building, followed by a discussion of the building selection process, the IMDS design and installation, recent use of the IMDS, costs and benefits, and fault detection and diagnostic research using the IMDS. A web site describes the IMDS in detail (see imds.lbl.gov). The underlying principle of this research project is that high quality building performance data can help show where energy is being used and how buildings systems actually perform is an important first step toward improving building energy efficiency. The project utilizes a high-quality monitoring system that has been developed during the past decade by a partnership between LBNL and private industry. This research project has been successful in demonstrating that the IMDS is tremendously valuable to the building operators at the Sacramento site. The building operators not only accept the technology, but it has become the core of their day-to-day building control concepts. The innovative property management company, Jones Lang LaSalle, is interested in installing more sites to determine if the system could provide an economic

  9. Development of recombinant nucleoprotein-based diagnostic systems for Lassa fever.

    Science.gov (United States)

    Saijo, Masayuki; Georges-Courbot, Marie-Claude; Marianneau, Philippe; Romanowski, Victor; Fukushi, Shuetsu; Mizutani, Tetsuya; Georges, Alain-Jean; Kurata, Takeshi; Kurane, Ichiro; Morikawa, Shigeru

    2007-09-01

    Diagnostic systems for Lassa fever (LF), a viral hemorrhagic fever caused by Lassa virus (LASV), such as enzyme immunoassays for the detection of LASV antibodies and LASV antigens, were developed using the recombinant nucleoprotein (rNP) of LASV (LASV-rNP). The LASV-rNP was expressed in a recombinant baculovirus system. LASV-rNP was used as an antigen in the detection of LASV-antibodies and as an immunogen for the production of monoclonal antibodies. The LASV-rNP was also expressed in HeLa cells by transfection with the expression vector encoding cDNA of the LASV-NP gene. An immunoglobulin G enzyme-linked immunosorbent assay (ELISA) using LASV-rNP and an indirect immunofluorescence assay using LASV-rNP-expressing HeLa cells were confirmed to have high sensitivity and specificity in the detection of LASV-antibodies. A novel monoclonal antibody to LASV-rNP, monoclonal antibody 4A5, was established. A sandwich antigen capture (Ag-capture) ELISA using the monoclonal antibody and an anti-LASV-rNP rabbit serum as capture and detection antibodies, respectively, was then developed. Authentic LASV nucleoprotein in serum samples collected from hamsters experimentally infected with LASV was detected by the Ag-capture ELISA. The Ag-capture ELISA specifically detected LASV-rNP but not the rNPs of lymphocytic choriomeningitis virus or Junin virus. The sensitivity of the Ag-capture ELISA in detecting LASV antigens was comparable to that of reverse transcription-PCR in detecting LASV RNA. These LASV rNP-based diagnostics were confirmed to be useful in the diagnosis of LF even in institutes without a high containment laboratory, since the antigens can be prepared without manipulation of the infectious viruses.

  10. A starch-based microparticulate system dedicated to diagnostic and therapeutic nuclear medicine applications.

    Science.gov (United States)

    Lacoeuille, F; Hindré, F; Venier-Julienne, M C; Sergent, M; Bouchet, F; Jouaneton, S; Denizot, B; Askienazy, S; Benoit, J P; Couturier, O F; Le Jeune, J J

    2011-11-01

    The aim of this work was to develop a new microparticulate system able to form a complex with radionuclides with a high yield of purity for diagnostic or therapeutic applications. Owing to its properties potato starch was chosen as starting material and modified by oxidization and coupling of a ligand (polyamine) enabling modified starch to chelate radionuclides. The choice of suitable experiments was based on a combination of a Rechtschaffner experimental design and a surface response design to determine the influence of experimental parameters and to optimize the final product. Starch-based microparticle formulations from the experimental plans were compared and characterized through particle size analysis, scanning electron microscopy, elemental analysis and, for the most promising formulations, by in vitro labeling stability studies and determination of free polyamine content or in vivo imaging studies. The mechanism of starch-based microparticle degradation was identified by means of size measurements. The results of the Rechtschaffner design showed the positive qualitative effect of the temperature and the duration of coupling reaction whereas surface response analysis clearly showed that, by increasing the oxidization level and starch concentration, the nitrogen content in the final product is increased. In vitro and in vivo characterization led to identification of the best formulation. With a size around 30 μm, high radiochemical purity (over 95%) and a high signal-to-noise ratio (over 600), the new starch-based microparticulate system could be prepared as ready-to-use kits and sterilized without modification of its characteristics, and thus meet the requirement for in vivo diagnostic and therapeutic applications.

  11. Diagnostic performance and prognostic value of extravascular retention of I-123-labeled serum amyloid P component in systemic amyloidosis

    NARCIS (Netherlands)

    Hazenberg, Bouke P. C.; van Rijswijk, Martin H.; Lub-de Hooge, Marjolijn N.; Vellenga, Edo; Haagsma, Elizabeth B.; Posthumus, Marcel D.; Jager, Pieter L.

    2007-01-01

    Serum amyloid P component (SAP) binds to amyloid.I-123-SAP scintigraphy is used to evaluate the extent and distribution of amyloid in systemic amyloidosis and has great clinical value in the detection of systemic amyloidosis. The aim of the study was to assess during scintigraphy the diagnostic perf

  12. Design strategy and implementation of the medical diagnostic image support system at two large military medical centers

    Science.gov (United States)

    Smith, Donald V.; Smith, Stan M.; Sauls, F.; Cawthon, Michael A.; Telepak, Robert J.

    1992-07-01

    The Medical Diagnostic Imaging Support (MDIS) system contract for federal medical treatment facilities was awarded to Loral/Siemens in the Fall of 1991. This contract places ''filmless'' imaging in a variety of situations from small clients to large medical centers. The MDIS system approach is a ''turn-key'', performance based specification driven by clinical requirements.

  13. Performance optimization of a diagnostic system based upon a simulated strain field for fatigue damage characterization

    Science.gov (United States)

    Sbarufatti, C.; Manes, A.; Giglio, M.

    2013-11-01

    The work presented hereafter is about the development of a diagnostic system for crack damage detection, localization and quantification on a typical metallic aeronautical structure (skin stiffened through riveted stringers). Crack detection and characterization are based upon strain field sensitivity to damage. The structural diagnosis is carried out by a dedicated smart algorithm (Artificial Neural Network) which is trained on a database of Finite Element simulations relative to damaged and undamaged conditions, providing the system with an accurate predictor at low overall cost. The algorithm, trained on numerical damage experience, is used in a simulated environment to provide reliable preliminary information concerning the algorithm performances for damage diagnosis, thus further reducing the experimental costs and efforts associated with the development and optimization of such systems. The same algorithm has been tested on real experimental strain patterns acquired during real fatigue crack propagation, thus verifying the capability of the numerically trained algorithm for anomaly detection, damage assessment and localization on a real complex structure. The load variability, the discrepancy between the Finite Element Model and the real structure, and the uncertainty in the algorithm training process have been addressed in order to enhance the robustness of the system inference process. Some further algorithm training strategies are discussed, aimed at minimizing the risk for false alarms while maintaining a high probability of damage detection.

  14. A comparison of classification methods as diagnostic system: A case study on skin lesions.

    Science.gov (United States)

    Odeh, Suhail M; Baareh, Abdel Karim Mohamed

    2016-12-01

    Numerous classification methods are currently available, but most of them were performed on different datasets. In this paper, different classification techniques were used for a diagnostic system on different skin lesions for the same data, which gives consistency for the data to have more accurate and better results. Four classification methods were proposed, a classical method based on K-Nearest Neighbor with Sequential Scanning selection technique for feature selection, a classical method with complex technique KNN with Genetic Algorithm, a complex method based on Artificial Neural Networks with Genetic Algorithm and an Adaptive Neuro-Fuzzy Inference System. From the results obtained we can say that the performance of KNN with optimization of genetic algorithm for the feature selection was the best with an accuracy rate of 94%. The Adaptive Neuro-Fuzzy Inference System result was also good with an accuracy rate of 92%, and the other techniques' results were also satisfactory. The improvement on the performance of the classifier depends on the feature selection methods. In addition, the diagnosis system as a decision support tool could be used to increase the performance of human experts to make a correct decision. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  15. Astrovirus Diagnostics

    Science.gov (United States)

    Pérot, Philippe; Lecuit, Marc; Eloit, Marc

    2017-01-01

    Various methods exist to detect an astrovirus infection. Current methods include electron microscopy (EM), cell culture, immunoassays, polymerase chain reaction (PCR) and various other molecular approaches that can be applied in the context of diagnostic or in surveillance studies. With the advent of metagenomics, novel human astrovirus (HAstV) strains have been found in immunocompromised individuals in association with central nervous system (CNS) infections. This work reviews the past and current methods for astrovirus detection and their uses in both research laboratories and for medical diagnostic purposes. PMID:28085120

  16. [Expanded anamnesis and psychodiagnostic classification in psychosomatic rheumatic patients. II: A recommendation for diagnostic classification of psychosomatic disorders of the locomotor system].

    Science.gov (United States)

    Eich, W

    1993-01-01

    This paper tries to associate psychosomatic manifestations of the locomotion-system to one of the following four diagnosis: 1) conversion disorder, 2) anxiety disorder, 3) depressive mood disorder, 4) somatization disorder. For each of these diagnosis definition, clinical manifestation, diagnostic and differential-diagnostic criteria are mentioned. The diagnostic criteria can easily be associated to the new ICD-10 (V)F diagnosis.

  17. On-board diagnostics of fully variable valve actuator systems in spark-ignited combustion engines

    Energy Technology Data Exchange (ETDEWEB)

    Sarac, Ipek

    2010-07-01

    Variable valve actuation (VVA) is being employed in contemporary engines to improve fuel consumption, torque characteristics and emissions of combustion engines by enabling the realization of different combustion strategies. Fully variable valve actuation (FVVA) makes it possible to apply a wider range of strategies (e.g., homogenous charge compression ignition (HCCI), dethrottling, internal residual gas mechanism, 2/4 Stroke Switching). With FVVA, the gas exchange valves can be actuated at arbitrary points in time, with separate variable lifting for the intake and exhaust valves of each cylinder. Making FVVA systems ready for the market requires to provide the system with appropriate fault-diagnostic functionality. Additional degrees of freedom of FVVA systems introduce different fault cases which have to be considered in terms of their emission relevance within the scope of diagnostics standards such as On-Board Diagnosis II (OBD II). The faults and their effects on emissions have not been analyzed by any other study, yet. To fill this gab, here the possible faults are generated using a four-cylinder gasoline camless test bench engine. Measurements are carried out using different strategies at low loads, namely dethrottling with early intake valve closing and combining high internal residual gas with dethrottling. Each fault case is thoroughly analyzed, and the emission-relevant faults are pointed out for initial consideration. A trivial approach to diagnose fully variable valve actuators is to introduce position sensors for each actuator to track the valve lift curve. However, this approach increases the cost of the system undesirably. Thus, here alternative methods are explored such as indirect use of common powertrain sensors. Considering that active diagnosis may lead to suboptimal engine control schemes, the possibilities of fault detection and isolation are investigated without relying on active diagnosis. Air path sensors are affected foremost by any

  18. Implementation of Diagnostic Model for Integrated System Health Monitoring of a Habitat Instrumentation System Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The approach to developing this tool are the following: to use SysML to model the instrumentation system, to develop a method to seamlessly transfer data from SysML...

  19. Plasma-water systems studied with optical diagnostics including sum-frequency generation spectroscopy

    Science.gov (United States)

    Ito, Tsuyohito

    2016-09-01

    Recently, various applications of plasma-water systems have been reported, such as materials synthesis, agricultural applications, and medical treatments. As one of basic studies of such systems, we are investigating water surface structure influenced by a plasma via vibrational sum-frequency generation spectroscopy. Vibrational sum-frequency generation spectroscopy is known to be an interfacially active diagnostic technique, as such process occurs in noncentrosymmetric medium. Visible and wavenumber-tunable infrared beams are simultaneously irradiated to the interface. The interfacial water has ice-like ( 3200 cm-1), liquid-like ( 3400 cm-1), and free OH (3700 cm-1) structures (assignment of the ice-like structure still remains contentious), and the intensity of the signal becomes stronger when the tunable infrared beam resonates with a vibration of the structures. The results indicate that with generating air dielectric barrier discharges for supplying reactive species to the water surface, all investigated signals originating from the above-mentioned three structures decrease. Furthermore, the signal strengths are recovered after terminating the plasma generation. We currently believe that the surface density of the reactive species should be high when they are found at the water surface. Details on the experimental results of the sum-frequency generation spectroscopy, as well as other spectroscopic results of plasma-water systems, will be presented at the conference.

  20. Summary and early findings from a second generation information monitoring and diagnostic system

    Energy Technology Data Exchange (ETDEWEB)

    Piette, Mary Ann; Kinney, Satkartar; Bourassa, Norman; Kinney, Kristopher L.; Shockman, Christine

    2003-04-02

    Private sector commercial office buildings are challenging environments for energy efficiency projects. This challenge is related to the complexity of business environments that involve ownership, operation, and tenant relationships. This research project was developed to examine the environment for building operations and identify causes of inefficient use of energy related to technical and organizational issues. This paper discusses a second-generation Information Monitoring and Diagnostic System (IMDS) installed at a leased office building in Sacramento, California. The underlying principle of this project is that high quality building performance data can help show where energy is being used and how buildings systems actually perform. Such data are an important first step toward improving building energy efficiency. This project has demonstrated that the IMDS is valuable to the building operators at the Sacramento site. The building operators not only accept the technology, but it has become the core of their day-to-day building control concepts. One objective of this project was to evaluate the costs and benefits of the IMDS. The system cost about $0.70 per square foot, which includes the design, hardware, software, and installation, which is about 30% less than the previous IMDS in San Francisco. A number of operational problems have been identified with the IMDS.

  1. Design and fabrication of a multi-purpose soft x-ray array diagnostic system for KSTAR.

    Science.gov (United States)

    Lee, Seung Hun; Chai, Kil Byoung; Jang, Siwon; Ko, Won-Ha; Kim, Junghee; Seo, Dongcheol; Lee, Jongha; Bogatu, I N; Kim, Jin-Soo; Choe, Wonho

    2012-10-01

    A multi-purpose soft x-ray array diagnostic system was developed for measuring two-dimensional x-ray emissivity profile, electron temperature, Ar impurity transport, and total radiation power. A remotely controlled filter wheel was designed with three different choices of filters. The electron temperature profile can be determined from the ratio of two channels having different thickness of Be layer, and the Ar impurity concentration transport can be determined from a pair of Ar Ross filters (CaF(2) and NaCl thin films). Without any filters, this diagnostic system can also be used as a bolometer.

  2. The impact of a diagnostic decision support system on the consultation: perceptions of GPs and patients.

    Science.gov (United States)

    Porat, Talya; Delaney, Brendan; Kostopoulou, Olga

    2017-06-02

    Clinical decision support systems (DSS) aimed at supporting diagnosis are not widely used. This is mainly due to usability issues and lack of integration into clinical work and the electronic health record (EHR). In this study we examined the usability and acceptability of a diagnostic DSS prototype integrated with the EHR and in comparison with the EHR alone. Thirty-four General Practitioners (GPs) consulted with 6 standardised patients (SPs) using only their EHR system (baseline session); on another day, they consulted with 6 different but matched for difficulty SPs, using the EHR with the integrated DSS prototype (DSS session). GPs were interviewed twice (at the end of each session), and completed the Post-Study System Usability Questionnaire at the end of the DSS session. The SPs completed the Consultation Satisfaction Questionnaire after each consultation. The majority of GPs (74%) found the DSS useful: it helped them consider more diagnoses and ask more targeted questions. They considered three user interface features to be the most useful: (1) integration with the EHR; (2) suggested diagnoses to consider at the start of the consultation and; (3) the checklist of symptoms and signs in relation to each suggested diagnosis. There were also criticisms: half of the GPs felt that the DSS changed their consultation style, by requiring them to code symptoms and signs while interacting with the patient. SPs sometimes commented that GPs were looking at their computer more than at them; this comment was made more often in the DSS session (15%) than in the baseline session (3%). Nevertheless, SP ratings on the satisfaction questionnaire did not differ between the two sessions. To use the DSS effectively, GPs would need to adapt their consultation style, so that they code more information during rather than at the end of the consultation. This presents a potential barrier to adoption. Training GPs to use the system in a patient-centred way, as well as improvement of the

  3. A novel neural-wavelet approach for process diagnostics and complex system modeling

    Science.gov (United States)

    Gao, Rong

    Neural networks have been effective in several engineering applications because of their learning abilities and robustness. However certain shortcomings, such as slow convergence and local minima, are always associated with neural networks, especially neural networks applied to highly nonlinear and non-stationary problems. These problems can be effectively alleviated by integrating a new powerful tool, wavelets, into conventional neural networks. The multi-resolution analysis and feature localization capabilities of the wavelet transform offer neural networks new possibilities for learning. A neural wavelet network approach developed in this thesis enjoys fast convergence rate with little possibility to be caught at a local minimum. It combines the localization properties of wavelets with the learning abilities of neural networks. Two different testbeds are used for testing the efficiency of the new approach. The first is magnetic flowmeter-based process diagnostics: here we extend previous work, which has demonstrated that wavelet groups contain process information, to more general process diagnostics. A loop at Applied Intelligent Systems Lab (AISL) is used for collecting and analyzing data through the neural-wavelet approach. The research is important for thermal-hydraulic processes in nuclear and other engineering fields. The neural-wavelet approach developed is also tested with data from the electric power grid. More specifically, the neural-wavelet approach is used for performing short-term and mid-term prediction of power load demand. In addition, the feasibility of determining the type of load using the proposed neural wavelet approach is also examined. The notion of cross scale product has been developed as an expedient yet reliable discriminator of loads. Theoretical issues involved in the integration of wavelets and neural networks are discussed and future work outlined.

  4. Diagnostic Algorithm Benchmarking

    Science.gov (United States)

    Poll, Scott

    2011-01-01

    A poster for the NASA Aviation Safety Program Annual Technical Meeting. It describes empirical benchmarking on diagnostic algorithms using data from the ADAPT Electrical Power System testbed and a diagnostic software framework.

  5. Participatory Rural Appraisal for Diagnostic Analysis of spate irrigation systems in Raya Valley, Ethiopia

    Directory of Open Access Journals (Sweden)

    Giulio Castelli

    2017-05-01

    Full Text Available Spate irrigation is a complex and unique form of water management, which represent the main source of irrigation water in semi-arid river catchments. Water is diverted from seasonal rivers by using diversion structures made by stones, earth and brushwood, located within the river bed. The modernisation of spate irrigation realised in Raya Valley (northern Ethiopia resulted in disappointing performances. One of the main reasons for this failure was the poor consideration of the characteristics of seasonal catchments and local communities’ needs and preferences. Local farmers, who showed a deep knowledge of the river system, were involved only at the level of consultation. The aim of this research was to develop a participatory Diagnostic Analysis (DA for a traditional non-modernised spate irrigation system in Raya Valley, in order to involve local farmers within the development process, and to build a solid knowledge basis for effective improvements. A Participatory Rural Appraisal (PRA of the Harosha spate irrigation system was undertaken. PRA techniques focusing on spatial, temporal, socio-economical and spatiotemporal aspects of the system were performed with local farmers in order to identify and rank main problems and constraints to development. Farmers recognised the need of more resistant diversion structures and gabion walls for the stabilisation of the river bank. The involvement of farmers also helped to highlight that not only irrigation-related problems, but also flood-related problems threaten agricultural production and rural livelihoods. Rather than an irrigation system approach, an approach integrating irrigation development and flood risk mitigation is suggested for framing future development strategies.

  6. [Quality assurance in diagnostic radiology using an automated system. Experience and results].

    Science.gov (United States)

    Princivalli, M; Stea, L; Ordóñez, P L; Bussoli, L; Marchetti, C

    1995-05-01

    The authors report their personal experience with the use of an integrated quality control system in the radiology department. The system we used was the RTI DIGI-X Plus, a Swedish-made product, allowing a wide range of parameters to be measured on diagnostic X-ray units for general radiography, mammography and fluoroscopy. Data can be retrieved with a minimum number of measurements. The "oRTIgo" software improves the quality assurance system and ensures document compliance with international recommendations. The equipment consists of a detector unit, a processor and a display unit. The detector consists of a rotating holder with 12 combinations of metal filters of various thickness mounted in front of two photo-diodes covered with identical X-ray intensifying gadoliniumoxysulfide screens. This unit is connected to a data acquisition system controlled by a microcomputer. Peak tube voltage and total tube filtration are derived from the ratio of detector signals. The relationship between this ratio and the measured quantity is determined by a calibration procedure. Furthermore, exposure time "mAs" value, "mAs" linearity and exposure (or kerma in air) can be measured. Digital storage can be performed and input signals displayed. A serial interface is used to communicate with a PC for QC management purposes. An error propagation model is used to determine the inaccuracy of peak tube voltage measurements. With the DIGI-X Plus system, measurements can be carried out in a shorter time and the stored data reprocessed later on. After QA testing on 20 X-ray units in the radiology department, in vivo doses were measured using a TLD Harshaw 100 on 46 randomly selected patients undergoing chest examinations. The results are reported and analyzed following the NRPB protocol and show high agreement with the recommended values.

  7. Integrated Urban Wastewater System Data Network - Data network system: Diagnostic Report Cali, Colombia

    NARCIS (Netherlands)

    Unesco-IHE

    2008-01-01

    The pressure on the Urban Wastewater Systems (UWwS) increases as urbanization continues relentlessly and climate change appears to lead to more extreme rainfall events. These pressures have a negative effect on the efficiency of UWwS to reduce the urban pollution reaching water-receiving

  8. Systems Diagnostics: A McREL Report Prepared for Stupski Foundation's Learning System

    Science.gov (United States)

    Igel, Charles; Apthorp, Helen; Peterson, Gary; Davis, Tony; Moore, Laurie; Englert, Kerry

    2009-01-01

    This document is one of eight reports prepared to support the development of a new learning system, an effort that is the first step in a major initiative undertaken by the Stupski Foundation. The report was created collaboratively by researchers from McRel with guidance from officers of the Stupski Foundation. Its purpose is to provide members of…

  9. Infrared Thermography-based Biophotonics: Integrated Diagnostic Technique for Systemic Reaction Monitoring

    Science.gov (United States)

    Vainer, Boris G.; Morozov, Vitaly V.

    A peculiar branch of biophotonics is a measurement, visualisation and quantitative analysis of infrared (IR) radiation emitted from living object surfaces. Focal plane array (FPA)-based IR cameras make it possible to realize in medicine the so called interventional infrared thermal diagnostics. An integrated technique aimed at the advancement of this new approach in biomedical science and practice is described in the paper. The assembled system includes a high-performance short-wave (2.45-3.05 μm) or long-wave (8-14 μm) IR camera, two laser Doppler flowmeters (LDF) and additional equipment and complementary facilities implementing the monitoring of human cardiovascular status. All these means operate synchronously. It is first ascertained the relationship between infrared thermography (IRT) and LDF data in humans in regard to their systemic cardiovascular reactivity. Blood supply real-time dynamics in a narcotized patient is first visualized and quantitatively represented during surgery in order to observe how the general hyperoxia influences thermoregulatory mechanisms; an abrupt increase in temperature of the upper limb is observed using IRT. It is outlined that the IRT-based integrated technique may act as a take-off runway leading to elaboration of informative new methods directly applicable to medicine and biomedical sciences.

  10. A Genetically Optimized Predictive System for Success in General Chemistry Using a Diagnostic Algebra Test

    Science.gov (United States)

    Cooper, Cameron I.; Pearson, Paul T.

    2012-02-01

    In higher education, many high-enrollment introductory courses have evolved into "gatekeeper" courses due to their high failure rates. These courses prevent many students from attaining their educational goals and often become graduation roadblocks. At the authors' home institution, general chemistry has become a gatekeeper course in which approximately 25% of students do not pass. This failure rate in chemistry is common, and often higher, at many other institutions of higher education, and mathematical deficiencies are perceived to be a large contributing factor. This paper details the development of a highly accurate predictive system that identifies students at the beginning of the semester who are "at-risk" for earning a grade of C- or below in chemistry. The predictive accuracy of this system is maximized by using a genetically optimized neural network to analyze the results of a diagnostic algebra test designed for a specific population. Once at-risk students have been identified, they can be helped to improve their chances of success using techniques such as concurrent support courses, online tutorials, "just-in-time" instructional aides, study skills, motivational interviewing, and/or peer mentoring.

  11. Comparison of the diagnostic accuracy of direct digital radiography system, filtered images, and subtraction radiography

    Directory of Open Access Journals (Sweden)

    Wilton Mitsunari Takeshita

    2013-01-01

    Full Text Available Background: To compare the diagnostic accuracy of three different imaging systems: Direct digital radiography system (DDR-CMOS, four types of filtered images, and a priori and a posteriori registration of digital subtraction radiography (DSR in the diagnosis of proximal defects. Materials and Methods: The teeth were arranged in pairs in 10 blocks of vinyl polysiloxane, and proximal defects were performed with drills of 0.25, 0.5, and 1 mm diameter. Kodak RVG 6100 sensor was used to capture the images. A posteriori DSR registrations were done with Regeemy 0.2.43 and subtraction with Image Tool 3.0. Filtered images were obtained with Kodak Dental Imaging 6.1 software. Images (n = 360 were evaluated by three raters, all experts in dental radiology. Results: Sensitivity and specificity of the area under the receiver operator characteristic (ROC curve (Az were higher for DSR images with all three drills (Az = 0.896, 0.979, and 1.000 for drills 0.25, 0.5, and 1 mm, respectively. The highest values were found for 1-mm drills and the lowest for 0.25-mm drills, with negative filter having the lowest values of all (Az = 0.631. Conclusion: The best method of diagnosis was by using a DSR. The negative filter obtained the worst results. Larger drills showed the highest sensitivity and specificity values of the area under the ROC curve.

  12. a Diagnostic System Measuring Orthogonal Factors of Sound Fields in a Scale Model of Auditorium

    Science.gov (United States)

    SAKURAI, M.; AIZAWA, S.; SUZUMURA, Y.; ANDO, Y.

    2000-04-01

    Based on the model of auditory-brain system which consists of the autocorrelation mechanism, the interaural cross-correlation mechanism between both the auditory pathways, and the specialization of human cerebral hemispheres (Y. Ando 1998 Architectural Acoustics, Blending Sound Sources, Sound Fields, and Listeners New York: AIP Press/Springer-Verlag), a new diagnostic system was developed. After obtaining the binaural impulse response, four orthogonal factors including the SPL, the initial time-delay gap between the direct sound and the first reflection, the subsequent reverberation time and the IACC can be analyzed for the calculation of the scale values of both global and individual subjective preferences. In addition, two more factors extracted from the interaural cross-correlation functionτIACC and WIACC, can be figured out. Also, the sound energy,Φ (0), the effective duration, τe, and fine structures of autocorrelation function of sound signals including the magnitude of first maximum, φ1, and its delay time,τ1 , can be analyzed. As an example of the measurement, effects of reflectors' array above the stage in a 1/10 scale model of auditorium at each seat are discussed here.

  13. OPPORTUNITIES OF ECHOCARDIOGRAPHY IN DIAGNOSTICS OF HEART LESIONS IN CHILDREN WITH SYSTEMIC LUPUS ERYTHEMATOSUS

    Directory of Open Access Journals (Sweden)

    A.B. Sugak

    2010-01-01

    Full Text Available Heart lesions in systemic lupus erythematosus (SLE are detected in a half of patients, but in most cases it has no clear clinical symptoms and can be revealed only during instrumental diagnostics. 40 children with SLE and 40 conditionally healthy children were examined in this study. The signs of pericardium lesion were detected in 50% of children with SLE, cardiac valves (aortal and mitral — in 23% of patients, hypertrophy of myocardium of left ventricle — in 33%, dilatation of its camera — in 20%, disorders of diastolic function — in 12,5%, and decrease of contractility of myocardium — in 15%. In total, the signs of myocardium lesions were detected in children and adolescents with SLE more frequently, and valvulitis — rarely than in adults (according to literature data. Revealed differences in heart structure may reflect peculiarities of disease in children and adverse effects of immunosuppressive therapy.Key words: children, systemic lupus erythematosus, echocardiography, pericarditis, myocarditis, endocarditis.(Voprosy sovremennoi pediatrii — Current Pediatrics. – 2010;9(3:43-49

  14. Transformation of personal computers and mobile phones into genetic diagnostic systems.

    Science.gov (United States)

    Walker, Faye M; Ahmad, Kareem M; Eisenstein, Michael; Soh, H Tom

    2014-09-16

    Molecular diagnostics based on the polymerase chain reaction (PCR) offer rapid and sensitive means for detecting infectious disease, but prohibitive costs have impeded their use in resource-limited settings where such diseases are endemic. In this work, we report an innovative method for transforming a desktop computer and a mobile camera phone--devices that have become readily accessible in developing countries--into a highly sensitive DNA detection system. This transformation was achieved by converting a desktop computer into a de facto thermal cycler with software that controls the temperature of the central processing unit (CPU), allowing for highly efficient PCR. Next, we reconfigured the mobile phone into a fluorescence imager by adding a low-cost filter, which enabled us to quantitatively measure the resulting PCR amplicons. Our system is highly sensitive, achieving quantitative detection of as little as 9.6 attograms of target DNA, and we show that its performance is comparable to advanced laboratory instruments at approximately 1/500th of the cost. Finally, in order to demonstrate clinical utility, we have used our platform for the successful detection of genomic DNA from the parasite that causes Chagas disease, Trypanosoma cruzi, directly in whole, unprocessed human blood at concentrations 4-fold below the clinical titer of the parasite.

  15. In situ distributed diagnostics of flowable electrode systems: resolving spatial and temporal limitations.

    Science.gov (United States)

    Dennison, C R; Gogotsi, Y; Kumbur, E C

    2014-09-14

    In this study, we have developed an in situ distributed diagnostics tool to investigate spatial and temporal effects in electrochemical systems based on flowable electrodes. Specifically, an experimental approach was developed that enables spatially-resolved voltage measurements to be obtained in situ, in real-time. To extract additional data from these distributed measurements, an experimentally-parameterized equivalent circuit model with a new 'flow capacitor' circuit element was developed to predict the distributions of various system parameters during operation. As a case study, this approach was applied to investigate the behavior of the suspension electrodes used in an electrochemical flow capacitor under flowing and static conditions. The volumetric capacitance is reduced from 15.6 F ml(-1) to 1.1 F ml(-1) under flowing conditions. Results indicate that the majority of the charging in suspension electrodes occurs within ∼750 μm of the current collectors during flow, which gives rise to significant state-of-charge gradients across the cell, as well as underutilization of the available active material. The underlying cause of this observation is attributed to the relatively high electrical resistance of the slurry coupled with a stratified charging regime and insufficient residence time. The observations highlight the need to develop more conductive slurries and to design cells with reduced charge transport lengths.

  16. Assessment of the potential impact of a reminder system on the reduction of diagnostic errors: a quasi-experimental study

    Directory of Open Access Journals (Sweden)

    Taylor Paul M

    2006-04-01

    Full Text Available Abstract Background Computerized decision support systems (DSS have mainly focused on improving clinicians' diagnostic accuracy in unusual and challenging cases. However, since diagnostic omission errors may predominantly result from incomplete workup in routine clinical practice, the provision of appropriate patient- and context-specific reminders may result in greater impact on patient safety. In this experimental study, a mix of easy and difficult simulated cases were used to assess the impact of a novel diagnostic reminder system (ISABEL on the quality of clinical decisions made by various grades of clinicians during acute assessment. Methods Subjects of different grades (consultants, registrars, senior house officers and medical students, assessed a balanced set of 24 simulated cases on a trial website. Subjects recorded their clinical decisions for the cases (differential diagnosis, test-ordering and treatment, before and after system consultation. A panel of two pediatric consultants independently provided gold standard responses for each case, against which subjects' quality of decisions was measured. The primary outcome measure was change in the count of diagnostic errors of omission (DEO. A more sensitive assessment of the system's impact was achieved using specific quality scores; additional consultation time resulting from DSS use was also calculated. Results 76 subjects (18 consultants, 24 registrars, 19 senior house officers and 15 students completed a total of 751 case episodes. The mean count of DEO fell from 5.5 to 5.0 across all subjects (repeated measures ANOVA, p Conclusion The provision of patient- and context-specific reminders has the potential to reduce diagnostic omissions across all subject grades for a range of cases. This study suggests a promising role for the use of future reminder-based DSS in the reduction of diagnostic error.

  17. Final design of the generic upper port plug structure for ITER diagnostic systems

    NARCIS (Netherlands)

    Pak, S.; Feder, R.; Giacomin, T.; Guirao, J.; Iglesias, S.; Josseaume, F.; Kalish, M.; Loesser, D.; Maquet, P.; Ronden, D.; Ordieres, J.; Panizo, M.; Pitcher, S.; M. Portalès,; Proust, M.; Serikov, A.; Suarez, A.; Tanchuk, V.; Udintsev, V.; Vacas, C.; Walsh, M.; Zhai, Y.

    2016-01-01

    The generic upper port plug (GUPP) structure in ITER is a 6 m long metal box which deploys diagnostic components into the vacuum vessel. This structure is commonly used for all the diagnostic upper ports. The final design of the GUPP structure, which has successfully passed the final design review i

  18. Secular trends in diagnostic code density in electronic healthcare data from health care systems in the Vaccine Safety Datalink project.

    Science.gov (United States)

    Hechter, Rulin C; Qian, Lei; Sy, Lina S; Greene, Sharon K; Weintraub, Eric S; Naleway, Allison L; Rowhani-Rahbar, Ali; Donahue, James G; Daley, Matthew F; Vazquez-Benitez, Gabriela; Lugg, Marlene M; Jacobsen, Steven J

    2013-02-04

    Large observational vaccine safety studies often use automated diagnoses extracted from medical care databases to identify pre-specified potential adverse events following immunization (AEFI). We assessed the secular trends and variability in the number of diagnoses per encounter regardless of immunization status referred as diagnostic code density, by healthcare setting, age, and pre-specified condition in eight large health care systems of the Vaccine Safety Datalink project during 2001-2009. An increasing trend in diagnostic code density was observed in all healthcare settings and age groups, with variations across the sites. Sudden increases in diagnostic code density were observed at certain sites when changes in coding policies or data inclusion criteria took place. When vaccine safety studies use an historical comparator, the increased diagnostic code density over time may generate low expected rates (based on historical data) and high observed rates (based on current data), suggesting a false positive association between a vaccine and AEFI. The ongoing monitoring of the diagnostic code density can provide guidance on study design and choice of appropriate comparison groups. It can also be used to ensure data quality and allow timely correction of errors in an active safety surveillance system. Copyright © 2012 Elsevier Ltd. All rights reserved.

  19. Determination of ionization energies of CnN (n=4-12): Vacuum-ultraviolet (VUV) photoionization experiments and theoretical calculations

    Energy Technology Data Exchange (ETDEWEB)

    Kostko, Oleg; Zhou, Jia; Sun, Bian Jian; Lie, Jie Shiuan; Chang, Agnes H.H.; Kaiser, Ralf I.; Ahmed, Musahid

    2010-06-10

    Results from single photon vacuum ultraviolet photoionization of astrophysically relevant CnN clusters, n = 4 - 12, in the photon energy range of 8.0 eV to 12.8 eV are presented. The experimental photoionization efficiency curves, combined with electronic structure calculations, provide improved ionization energies of the CnN species. A search through numerous nitrogen-terminated CnN isomers for n=4-9 indicates that the linear isomer has the lowest energy, and therefore should be the most abundant isomer in the molecular beam. Comparison with calculated results also shed light on the energetics of the linear CnN clusters, particularly in the trends of the even-carbon and the odd-carbon series. These results can help guide the search of potential astronomical observations of these neutral molecules together with their cations in highly ionized regions or regions with a high UV/VUV photon flux (ranging from the visible to VUV with flux maxima in the Lyman- region) in the interstellar medium.

  20. Determination of ionization energies of CnN (n=4-12): Vacuum-ultraviolet (VUV) photoionization experiments and theoretical calculations

    Energy Technology Data Exchange (ETDEWEB)

    Kostko, Oleg; Zhou, Jia; Sun, Bian Jian; Lie, Jie Shiuan; Chang, Agnes H.H.; Kaiser, Ralf I.; Ahmed, Musahid

    2010-03-02

    Results from single photon vacuum ultraviolet photoionization of astrophysically relevant CnN clusters, n = 4 - 12, in the photon energy range of 8.0 eV to 12.8 eV are presented. The experimental photoionization efficiency curves, combined with electronic structure calculations, provide improved ionization energies of the CnN species. A search through numerous nitrogen-terminated CnN isomers for n=4-9 indicates that the linear isomer has the lowest energy, and therefore should be the most abundant isomer in the molecular beam. Comparison with calculated results also shed light on the energetics of the linear CnN clusters, particularly in the trends of the even-carbon and the odd-carbon series. These results can help guide the search of potential astronomical observations of these neutral molecules together with their cations in highly ionized regions or regions with a high UV/VUV photon flux (ranging from the visible to VUV with flux maxima in the Lyman-a region) in the interstellar medium.

  1. Extraction and diagnostic systems of the CIME cyclotron for SPIRAL project; Systemes d`ejection et de diagnostics du cyclotron CIME du projet SPIRAL

    Energy Technology Data Exchange (ETDEWEB)

    Bibet, D.; Bourgarel, M.P. [Grand Accelerateur National d`Ions Lourds (GANIL), 14 - Caen (France); Laune, B.; Malard, M.; Mormiche, M.; Serafini, A.; Szott, Ph. [Services Techniques, Inst. de Physique Nucleaire, Paris-11 Univ., 91 - Orsay (France)

    1999-11-01

    The extraction of the CIME cyclotron of the SPIRAL R.I.B. facility is composed of two electrostatic deflectors followed by two magnetostatic channels. For the diagnostics, a radial probe carrying a plastic scintillator for the radioactive beams, has been built, as well as dedicated probes in front of each of the channels. A set of 15 electrostatic pick up probes will enable the phase tuning for the stable beams. All these elements have been built and fully tested at the IPN, prior to there final installation on the CIME cyclotron. (authors) 4 figs.

  2. A Design Research Study of a Curriculum and Diagnostic Assessment System for a Learning Trajectory on Equipartitioning

    Science.gov (United States)

    Confrey, Jere; Maloney, Alan

    2015-01-01

    Design research studies provide significant opportunities to study new innovations and approaches and how they affect the forms of learning in complex classroom ecologies. This paper reports on a two-week long design research study with twelve 2nd through 4th graders using curricular materials and a tablet-based diagnostic assessment system, both…

  3. [Site inspection procedures and methods for evaluation of the quality management system of in vitro diagnostic regents].

    Science.gov (United States)

    Tian, Shaolei

    2010-03-01

    In this paper, the procedures, logos, methods, essentials as well as notable problems for inspecting the qualification management system of in vitro diagnostic regent manufactures are discussed, with aims of promoting inspector's practical level and consequentially ensuring the quality, standard and efficacy of the inspection.

  4. A Design Research Study of a Curriculum and Diagnostic Assessment System for a Learning Trajectory on Equipartitioning

    Science.gov (United States)

    Confrey, Jere; Maloney, Alan

    2015-01-01

    Design research studies provide significant opportunities to study new innovations and approaches and how they affect the forms of learning in complex classroom ecologies. This paper reports on a two-week long design research study with twelve 2nd through 4th graders using curricular materials and a tablet-based diagnostic assessment system, both…

  5. A method of data structuring in the decision-making support system in oncological diagnostics of prostate diseases

    Science.gov (United States)

    Zaytsev, S. M.; Nikitaev, V. G.; Pronichev, A. N.; Nagornov, O. V.; Polyakov, E. V.; Romanov, N. A.; Pushkar, D. Y.; Prilepskaya, E. A.; Kovilina, M. V.; Govorov, A. V.; Glotov, A. V.; Vasilyev, A. O.; Kolontarev, K. V.

    2017-01-01

    The study proposes the way of data organization to store the information obtained as the result of measurements of morphological structures of prostate gland preparations in the computer microscopy system. The proposed data structure provides fast access to object features in interactive analysis of preparation images during oncologic diagnostics of prostate gland diseases.

  6. Intermediate frequency band digitized high dynamic range radiometer system for plasma diagnostics and real-time Tokamak control

    NARCIS (Netherlands)

    Bongers, WA.; Van Beveren, V.; Thoen, D.J.; Nuij, P.J.W.M.; De Baar, M.R.; Donné, A.J.H.; Westerhof, E.; Goede, A.P.H.; Krijger, B.; Van den Berg, M.A.; Kantor, M.; Graswinckel, M.F.; Hennen, B.A.; Schüller, F.C.

    2011-01-01

    An intermediate frequency (IF) band digitizing radiometer system in the 100–200 GHz frequency range has been developed for Tokamak diagnostics and control, and other fields of research which require a high flexibility in frequency resolution combined with a large bandwidth and the retrieval of the f

  7. Performance assessment and adoption processes of an information monitoring and diagnostic system prototype

    Energy Technology Data Exchange (ETDEWEB)

    Piette, Mary Ann

    1999-10-01

    This report addresses the problem that buildings do not perform as well as anticipated during design. We partnered with an innovative building operator to evaluate a prototype Information Monitoring and Diagnostic System (IMDS). The IMDS consists of high-quality measurements archived each minute, a data visualization tool, and a web-based capability. The operators recommend similar technology be adopted in other buildings. The IMDS has been used to identify and correct a series of control problems. It has also allowed the operators to make more effective use of the building control system, freeing up time to take care of other tenant needs. They believe they have significantly improved building comfort, potentially improving tenant health, and productivity. The reduction in hours to operate the building are worth about $20,000 per year, which could pay for the IMDS in about five years. A control system retrofit based on findings from the IMDS is expected to reduce energy use by 20 percent over the next year, worth over $30,000 per year. The main conclusion of the model-based chiller fault detection work is that steady-state models can be used as reference models to monitor chiller operation and detect faults. The ability of the IMDS to measure cooling load and chiller power to one-percent accuracy with a one-minute sampling interval permits detection of additional faults. Evolutionary programming techniques were also evaluated, showing promise in the detection of patterns in building data. We also evaluated two technology adoption processes, radical and routine. In routine adoption, managers enhance features of existing products that are already well understood. In radical adoption, innovative building managers introduce novel technology into their organizations without using the rigorous payback criteria used in routine innovations.

  8. Surveillance Event Detection Based on CNN%基于CNN的监控视频事件检测

    Institute of Scientific and Technical Information of China (English)

    王梦来; 李想; 陈奇; 李澜博; 赵衍运

    2016-01-01

    It is well-known that event detection in real-world surveillance videos is a challenging task. The corpus of TRECVID-SED evaluation is acquired from the surveillance video of London Gatwick International Airport and it is well known for its high difficulties. We propose a comprehensive event detection framework based on an effective part-based deep network cascade — head-shoulder networks (HsNet) and tra jectory analysis. On the one hand, the deep network detects pedestrians very precisely, laying a foundation for tracking pedestrians. On the other hand, convolutional neural networks (CNNs) are good at detecting key-pose-based single events. Trajectory analysis is introduced for group events. In TRECVID-SED15 evaluation, our approach outperformed others in 3 out of 6 events, demonstrating the power of our proposal.%复杂监控视频中事件检测是一个具有挑战性的难题,而TRECVID-SED 评测使用的数据集取自机场的实际监控视频,以高难度著称。针对TRECVID-SED评测集,提出了一种基于卷积神经网络(Convolutional neural network, CNN)级联网络和轨迹分析的监控视频事件检测综合方案。在该方案中,引入级联CNN 网络在拥挤场景中准确地检测行人,为跟踪行人奠定了基础;采用CNN 网络检测具有关键姿态的个体事件,引入轨迹分析方法检测群体事件。该方案在国际评测中取得了很好的评测排名:在6个事件检测的评测中,3个事件检测排名第一。

  9. Development and performance of a diagnostic/prognostic scoring system for breakthrough pain

    Directory of Open Access Journals (Sweden)

    Samolsky Dekel BG

    2017-05-01

    Full Text Available Boaz Gedaliahu Samolsky Dekel,1–3 Marco Palma,4 Maria Cristina Sorella,1–3 Alberto Gori,3 Alessio Vasarri,3 Rita Maria Melotti1–3 1Department of Medicine and Surgery Sciences, University of Bologna, 2Department of Emergency-Urgency, Bologna’s University Teaching Hospital, Policlinic S. Orsola-Malpighi, 3University of Bologna, Post Graduate School of Anaesthesia and Intensive Care, 4Collegio Superiore, Istituto di Studi Superiori – ISS, University of Bologna, Bologna, Italy Objectives: Variable prevalence and treatment of breakthrough pain (BTP in different clinical contexts are partially due to the lack of reliable/validated diagnostic tools with prognostic capability. We report the statistical basis and performance analysis of a novel BTP scoring system based on the naïve Bayes classifier (NBC approach and an 11-item IQ-BTP validated questionnaire. This system aims at classifying potential BTP presence in three likelihood classes: “High,” “Intermediate,” and “Low.”Methods: Out of a training set of n=120 mixed chronic pain patients, predictors associated with the BTP likelihood variables (Pearson’s χ2 and/or Fisher’s exact test were employed for the NBC planning. Adjusting the binary classification to a three–likelihood classes case enabled the building of a scoring algorithm and to retrieve the score of each predictor’s answer options and the Patient’s Global Score (PGS. The latter medians were used to establish the NBC thresholds, needed to evaluate the scoring system performance (leave-one-out cross-validation.Results: Medians of PGS in the “High,” “Intermediate,” and “Low” likelihood classes were 3.44, 1.53, and −2.84, respectively. Leading predictors for the model (based on score differences were flair frequency (∆S=1.31, duration (∆S=5.25, and predictability (∆S=1.17. Percentages of correct classification were 63.6% for the “High” and of 100.0% for either the “Intermediate” and

  10. The charge exchange recombination diagnostic system on the DIII-D tokamak

    Energy Technology Data Exchange (ETDEWEB)

    Gohil, P.; Burrell, K.H.; Groebner, R.J.; Kim, J.; Martin, W.C.; McKee, E.L.; Seraydarian, R.P.

    1991-11-01

    The charge exchange recombination (CER) diagnostic system on the DIII-D tokamak is used to make spatially and temporally resolved measurements of the ion temperature and toroidal and poloidal rotation velocities. This is performed through visible spectroscopic measurements of the Doppler broadened and Doppler shifted HE II 468.6 nm, the CVI 529.1 nm, and the BV 494.5 nm spectral lines which have been excited by charge exchange recombination interactions between the fully stripped ions and the neutral atoms from the heating beams. The plasma viewing optics comprises 32 viewing chords spanning a typical plasma minor radius of 63 cm across the midplane, of which 15 spatial chords span 4.2 cm at the plasma edge just within the separatrix and provide a chord-to-chord spatial resolution of 0.3 cm. Fast camera readout electronics can provide a temporal resolution of 260 {mu}s per time slice, but the effective minimum integration time, at present, is 1 ms which is limited by the detected photon flux from the plasma and the decay times of the phosphors used on the multichannel plate image intensifiers. Significant changes in the edge plasma radial electric field at the L-H transition have been observed, as determined from the CER measurements, and these results are being extensively compared to theories which consider the effects of sheared electric fields on plasma turbulence. 13 refs., 10 figs.

  11. Priming nanoparticle-guided diagnostics and therapeutics towards human organs-on-chips microphysiological system

    Science.gov (United States)

    Choi, Jin-Ha; Lee, Jaewon; Shin, Woojung; Choi, Jeong-Woo; Kim, Hyun Jung

    2016-10-01

    Nanotechnology and bioengineering have converged over the past decades, by which the application of multi-functional nanoparticles (NPs) has been emerged in clinical and biomedical fields. The NPs primed to detect disease-specific biomarkers or to deliver biopharmaceutical compounds have beena validated in conventional in vitro culture models including two dimensional (2D) cell cultures or 3D organoid models. However, a lack of experimental models that have strong human physiological relevance has hampered accurate validation of the safety and functionality of NPs. Alternatively, biomimetic human "Organs-on-Chips" microphysiological systems have recapitulated the mechanically dynamic 3D tissue interface of human organ microenvironment, in which the transport, cytotoxicity, biocompatibility, and therapeutic efficacy of NPs and their conjugates may be more accurately validated. Finally, integration of NP-guided diagnostic detection and targeted nanotherapeutics in conjunction with human organs-on-chips can provide a novel avenue to accelerate the NP-based drug development process as well as the rapid detection of cellular secretomes associated with pathophysiological processes.

  12. Electrodiffusion Method of Near-Wall Flow Diagnostics in Microfluidic Systems

    Directory of Open Access Journals (Sweden)

    Tihona J.

    2015-01-01

    Full Text Available The electrodiffusion technique has been mostly used for the near-wall flow diagnostics on large scales. A novel technique for fabrication of plastic microfluidic systems with integrated metal microelectrodes (called technique of sacrificed substrate enables us to produce microfluidic devices with precisely shaped sensors for wall shear stress measurements. Several micrometer thick gold sensors, which are built-in a plastic substrate, exhibit good mechanical resistance and smoothness. Proper functioning of prepared chips with microsensors has been first tested in various calibration experiments (polarization curve, sensor response to polarization set-up, steady flow calibration, temperature dependence of diffusivity. Our first results obtained for separating/reattaching flow behind a backward-facing step and for gas-liquid Taylor flow in microchannels then demonstrate its applicability for the detection of near-wall flow reversal, the delimitation of flow - recirculation zones, and the determination of wall shear stress response to moving bubbles. Other applications of these sensors in microfluidics (e.g. characterization of liquid films, capillary waves, bubbles or drops can be also envisaged.

  13. Sequential fault diagnosis for mechatronics system using diagnostic hybrid bond graph and composite harmony search

    Directory of Open Access Journals (Sweden)

    Ming Yu

    2015-12-01

    Full Text Available This article proposes a sequential fault diagnosis method to handle asynchronous distinct faults using diagnostic hybrid bond graph and composite harmony search. The faults under consideration include fault mode, abrupt fault, and intermittent fault. The faults can occur in different time instances, which add to the difficulty of decision making for fault diagnosis. This is because the earlier occurred fault can exhibit fault symptom which masks the fault symptom of latter occurred fault. In order to solve this problem, a sequential identification algorithm is developed in which the identification task is reactivated based on two conditions. The first condition is that the latter occurred fault has at least one inconsistent coherence vector element which is consistent in coherence vector of the earlier occurred fault, and the second condition is that the existing fault coherence vector has the ability to hide other faults and the second-level residual exceeds the threshold. A new composite harmony search which is capable of handling continuous variables and binary variables simultaneously is proposed for identification purpose. Experiments on a mobile robot system are conducted to assess the proposed sequential fault diagnosis algorithm.

  14. Fasciola hepatica: epidemiology, perspectives in the diagnostic and the use of geoprocessing systems for prevalence studies

    Directory of Open Access Journals (Sweden)

    Marcos André Aleixo

    2015-06-01

    Full Text Available Fasciola hepatica is a parasite that is located in the liver of ruminants with the possibility to infect horses, pigs and humans. The parasite belongs to the Trematoda class, and it is the agent causing the disease called fasciolosis. This disease occurs mainly in temperate regions where climate favors the development of the organism. These conditions must facilitate the development of the intermediate host, the snail of the genus Lymnaea. The infection in domestic animals can lead to decrease in production and control is made by using triclabendazole. Triclabendazole resistance in F. hepatica has been reported worldwide including in Brazil. Another concern is the increase number of human cases with the consumption of contaminated vegetables in regions where sanitation is inadequate together with the presence of infected animals and the absence of efficient control methods. The knowledge of the epidemiology of animal fasciolosis, including their occurrence, distribution and monitoring with techniques such as PCR and ELISA is reaching a new level with the usage of the Geographic Information System. The objective is to use new technologies for early fasciolosis diagnostic, as well as, to develop geoprocessing technics that could allow the determination of its prevalence and the evolution of clinical cases in animals before hand. This review paper provides an overview of F. hepatica, covering the aspects listed above, including original data.

  15. CD30 expression by bone marrow mast cells from different diagnostic variants of systemic mastocytosis.

    Science.gov (United States)

    Morgado, José M; Perbellini, Omar; Johnson, Ryan C; Teodósio, Cristina; Matito, Almudena; Álvarez-Twose, Iván; Bonadonna, Patrizia; Zamò, Alberto; Jara-Acevedo, Maria; Mayado, Andrea; Garcia-Montero, Andrés; Mollejo, Manuela; George, Tracy I; Zanotti, Roberta; Orfao, Alberto; Escribano, Luis; Sánchez-Muñoz, Laura

    2013-12-01

    CD30 expression by bone marrow (BM) mast cells (MC) has been reported recently in systemic mastocytosis (SM) patients. The aim of this study was to investigate the potential diagnostic and prognostic value of CD30 expression in SM as assessed by multiparameter flow cytometry. A total of 163 consecutive BM samples corresponding to 142 SM patients and 21 non-mastocytosis cases were studied. CD30 was positive in most SM patients (80%), but in only one non-mastocytosis case (4.8%). When combined with CD25, CD30 contributed to an improved accuracy over that of CD25 alone (98% versus 93%) mainly because most (eight of nine) of the well-differentiated SM (WDSM), who lacked CD25, were CD30(+). Similar levels of expression of CD30 were observed among all different subgroups of SM except mast cell leukaemia; among indolent SM (ISM) patients, no significant association was observed between the levels of CD30 expression and other clinical and biological features of the disease. The increased expression of CD30 associated with absence of CD25 contributes to the diagnosis of WDSM and its distinction from other subtypes of SM. By contrast, CD30 expression did not contribute either to prognostic stratification of ISM or to the differential diagnosis between ISM and aggressive SM cases. © 2013 John Wiley & Sons Ltd.

  16. Developing diagnostic systems for ITER – the next step fusion energy experiment

    DEFF Research Database (Denmark)

    Korsholm, Søren Bang; Leipold, Frank; Gutierrez Espinoza, Heidi Estibaliz

    to be a viable energy source. Fusion energy power plants will be safe and can be operated to supply the baseload of an energy system. The fuel resources are inexhaustible, and can be derived from sea water. Fusion energy is based on the nuclear reaction fusing hydrogen isotopes into helium – like in the Sun......Fusion energy research is moving to the next stage with the well progressed construction of one of the largest research infrastructures ever – ITER. The goal of ITER is to produce 500 MW of fusion power while heating the fuel –deuterium/tritium plasma – by 50 MW. This will confirm fusion energy...... is the ultimate goal of fusion energy, the path towards this is challenging. A fusion plasma has a temperature of 200 mio. degrees (15 times that of the core of the Sun), and this is confined by a magnetic field generated by powerful superconducting magnets in a vacuum chamber of 1000 m3. Operating diagnostic...

  17. A comparison of three Rorschach diagnostic systems and use of the Hand Test for detecting multiple personality disorder in outpatients.

    Science.gov (United States)

    Young, G R; Wagner, E E; Finn, R F

    1994-06-01

    Eleven individuals diagnosed with multiple personality disorder (MPD) on the basis of clinical observation by experienced therapists plus elevated scores on the Dissociative Experiences Scale (DES; Bernstein & Putnam, 1986) were administered the Rorschach Inkblot Test and the Hand Test. Results from the sample (n = 11) and a matched control group (N = 22) were analyzed and discussed in accordance with previous Rorschach diagnostic systems. The Wagner Signs diagnosed 91% (n = 10) of the MPD cases in this outpatient sample, with no false positives. The Labott Signs were found to have no utility, and the Barach Signs, when they occurred, seemed to be diagnostic of MPD but yielded a high rate of false negatives. Hand Test results were analyzed and found to be possibly diagnostic of MPD. Tentative criteria were proposed for its use as an additional tool for diagnosing MPD.

  18. Study on Practical Application of Turboprop Engine Condition Monitoring and Fault Diagnostic System Using Fuzzy-Neuro Algorithms

    Science.gov (United States)

    Kong, Changduk; Lim, Semyeong; Kim, Keunwoo

    2013-03-01

    The Neural Networks is mostly used to engine fault diagnostic system due to its good learning performance, but it has a drawback due to low accuracy and long learning time to build learning data base. This work builds inversely a base performance model of a turboprop engine to be used for a high altitude operation UAV using measuring performance data, and proposes a fault diagnostic system using the base performance model and artificial intelligent methods such as Fuzzy and Neural Networks. Each real engine performance model, which is named as the base performance model that can simulate a new engine performance, is inversely made using its performance test data. Therefore the condition monitoring of each engine can be more precisely carried out through comparison with measuring performance data. The proposed diagnostic system identifies firstly the faulted components using Fuzzy Logic, and then quantifies faults of the identified components using Neural Networks leaned by fault learning data base obtained from the developed base performance model. In leaning the measuring performance data of the faulted components, the FFBP (Feed Forward Back Propagation) is used. In order to user's friendly purpose, the proposed diagnostic program is coded by the GUI type using MATLAB.

  19. Development of ion diagnostic system based on electrostatic probe in the boundary plasma of the JFT-2M tokamak

    Energy Technology Data Exchange (ETDEWEB)

    Uehara, Kazuya; Kawakami, Tomohide [Japan Atomic Energy Research Inst., Naka, Ibaraki (Japan). Naka Fusion Research Establishment; Amemiya, Hiroshi; Hoethker, K.; Cosler, A.; Bieger, W.

    1995-06-01

    An ion diagnostic system using electrostatic probes for measurements in the JFT-2M tokamak boundary plasma has been developed under the collaboration program between KFA and JAERI. The rotating double probe system, on which the Hoethker double probe and Amemiya asymmetric probe can mounted, are manufactured at KFA workshop while the linear driver to support the rotating double probe, the ion toothbrush probe, the Katsumata probe and the cubic Mach probe are developed at JAERI. This report describes the hardware of this probe system for ion diagnostics in the boundary plasma and preliminary data obtained by means of this system. Furthermore, results on the transport are estimated on the basis of these probe data. (author).

  20. Diagnostic Evaluation of Ozone Production and Horizontal Transport in a Regional Photochemical Air Quality Modeling System

    Science.gov (United States)

    A diagnostic model evaluation effort has been performed to focus on photochemical ozone formation and the horizontal transport process since they strongly impact the temporal evolution and spatial distribution of ozone (O3) within the lower troposphere. Results from th...

  1. BRAF mutation testing with a rapid, fully integrated molecular diagnostics system

    Science.gov (United States)

    Huang, Helen J.; Falchook, Gerald S.; Devogelaere, Benoit; Kockx, Mark; Bempt, Isabelle Vanden; Reijans, Martin; Naing, Aung; Fu, Siqing; Piha-Paul, Sarina A.; Hong, David S.; Holley, Veronica R.; Tsimberidou, Apostolia M.; Stepanek, Vanda M.; Patel, Sapna P.; Kopetz, E. Scott; Subbiah, Vivek; Wheler, Jennifer J.; Zinner, Ralph G.; Karp, Daniel D.; Luthra, Rajyalakshmi; Roy-Chowdhuri, Sinchita; Sablon, Erwin; Meric-Bernstam, Funda; Maertens, Geert; Kurzrock, Razelle

    2015-01-01

    Fast and accurate diagnostic systems are needed for further implementation of precision therapy of BRAF-mutant and other cancers. The novel IdyllaTM BRAF Mutation Test has high sensitivity and shorter turnaround times compared to other methods. We used Idylla to detect BRAF V600 mutations in archived formalin-fixed paraffin-embedded (FFPE) tumor samples and compared these results with those obtained using the cobas 4800 BRAF V600 Mutation Test or MiSeq deep sequencing system and with those obtained by a Clinical Laboratory Improvement Amendments (CLIA)-certified laboratory employing polymerase chain reaction–based sequencing, mass spectrometric detection, or next-generation sequencing. In one set of 60 FFPE tumor samples (15 with BRAF mutations per Idylla), the Idylla and cobas results had an agreement of 97%. Idylla detected BRAF V600 mutations in two additional samples. The Idylla and MiSeq results had 100% concordance. In a separate set of 100 FFPE tumor samples (64 with BRAF mutation per Idylla), the Idylla and CLIA-certified laboratory results demonstrated an agreement of 96% even though the tests were not performed simultaneously and different FFPE blocks had to be used for 9 cases. The IdyllaTM BRAF Mutation Test produced results quickly (sample to results time was about 90 minutes with about 2 minutes of hands on time) and the closed nature of the cartridge eliminates the risk of PCR contamination. In conclusion, our observations demonstrate that the Idylla test is rapid and has high concordance with other routinely used but more complex BRAF mutation–detecting tests. PMID:26330075

  2. Optical diagnostics based on elastic scattering: An update of clinical demonstrations with the Optical Biopsy System

    Energy Technology Data Exchange (ETDEWEB)

    Bigio, I.J.; Boyer, J.; Johnson, T.M.; Lacey, J.; Mourant, J.R. [Los Alamos National Lab., NM (United States); Conn, R. [Lovelace Medical Center, Albuquerque, NM (United States); Bohorfoush, A. [Wisconsin Medical School, Milwaukee, WI (United States)

    1994-10-01

    The Los Alamos National Laboratory has continued the development of the Optical Biopsy System (OBS) for noninvasive, real-time in situ diagnosis of tissue pathologies. Our clinical studies have expanded since the last Biomedical Optics Europe conference (Budapest, September 1993), and we report here on the latest results of clinical tests in gastrointestinal tract. The OBS invokes a unique approach to optical diagnosis of tissue pathologies based on the elastic scattering properties, over a wide range of wavelengths, of the tissue. The use of elastic scattering as the key to optical tissue diagnostics in the OBS is based on the fact that many tissue pathologies, including a majority of cancer forms, manifest significant architectural changes at the cellular and sub-cellular level. Since the cellular components that cause elastic scattering have dimensions typically on the order of visible to near-IR wavelengths, the elastic (Mie) scattering properties will be wavelength dependent. Thus, morphology and size changes can be expected to cause significant changes in an optical signature that is derived from the wavelength-dependence of elastic scattering. The OBS employs a small fiberoptic probe that is amenable to use with any endoscope or catheter, or to direct surface examination. The probe is designed to be used in optical contact with the tissue under examination and has separate illuminating and collecting fibers. Thus, the light that is collected and transmitted to the analyzing spectrometer must first scatter through a small volume of the tissue before entering the collection fiber(s). Consequently, the system is also sensitive to the optical absorption spectrum of the tissue, over an effective operating range of <300 to 950 nm, and such absorption adds valuable complexity to the scattering spectral signature.

  3. Algorithm for the Diagnosis of Scleroderma. Early Systemic Sclerosis: Definitions and diagnostic criteria

    Directory of Open Access Journals (Sweden)

    Domenico Galasso

    2013-04-01

    Full Text Available Introduction: The term scleroderma derives from the Greek words skleros, which means hard, and derma, which means skin. It refers to an acquired systemic inflammatory disease of the connective tissue –also known as systemic sclerosis (SSc– characterized by excessive collagen deposition in the skin and the internal organs that results in fibrosis. The typical vascular lesion in SSc leads to narrowing of the vessel lumen, intimal thickening, medial hypotrophy, and adventitial fibrosis of small muscular vessels, collagen deposition in the other matrix components of interstice, and the Raynaud phenomenon secondary to these widespread microvascular abnormalities. All these characteristics lead to a connective tissue re-modeling. Discussion: Several clinical studies utilize the American Rheumatology Association’s 1980 classification. However, these diagnostic criteria are unsatisfactory because they fail to take into consideration part of the disease spectrum. Early-phase SSc is characterized by the Raynaud phenomenon (in 90% of all patients, sclerodactyly, and positivity for SSc-specific autoantibodies (antinuclear antibodies, anti-topoisomerase I antibodies, anti-RNA polymerase I and III antibodies, anti-centromere antibodies, anti-fibrillarin antibodies, anti-PM-SCL antibodies.. It is necessary to reduce delays in the diagnosis of SSc. Conclusions: Patients with red-flag positivity (Raynaud phenomenon and digital edema require Phase I SSc screening, which consists in capillaroscopic assessment of possible microvascular abnormalities. The work-up will then focus on inflammatory indices, renal function tests, and internal organ involvement (echocardiography, high-resolution computed tomography of the chest, diffusing capacity of the lungs for carbon monoxide.

  4. Present status of the electron beam diagnostics system of the PLS-II linac

    Science.gov (United States)

    Choi, Jae-Young; Kim, Changbum; Kim, Mungyung; Kim, Dotae; Kim, Jae Myung; Lee, Eunhee; Kim, Ghyung Hwa; Shin, Seunghwan; Huang, Jung Yun

    2015-02-01

    The PLS-II, the upgraded PLS (Pohang Light Source), has been providing users with photon beams in the top-up mode since March 2013. The requirements for the PLS-II linac to achieve the top-up injection are very demanding because it is a full energy injector with a very limited energy margin. One of the requirements is to ensure high injection efficiency in order to minimize the beam loss at the storage ring injection point and the experimental hall during injection because loss leads to a high radiation level in the experimental hall. The energy stability and energy spread of the accelerated electron beam are fundamental parameters to monitor and manage for high injection efficiency. An energy feedback system consisting of a stripline-type beam position monitor and the last klystron was implemented. To diagnose the injected beam's energy and energy spread in real time during top-up mode injection, we installed an optical transition radiation (OTR) monitor system upstream of the beam transport line (BTL) after the first bending magnet. The energy and the energy spread ranges can be controlled with a horizontal slit installed after the OTR monitor. The vertical beam size of the accelerated beam must be decreased for efficient injection because the electron beam is injected into the storage ring with many in-vacuum undulators of small gaps. For this purpose, two vertical slits were installed in the BTL region. We will describe mainly those instruments closely related to top-up operation, though other beam diagnostic instruments have been used since PLS.

  5. A fast method for particle picking in cryo-electron micrographs based on fast R-CNN

    Science.gov (United States)

    Xiao, Yifan; Yang, Guangwen

    2017-06-01

    We propose a fast method to automatically pick protein particles in cryo-EM micrographs, which is now completed manually in practice. Our method is based on Fast R-CNN, with sliding window as the regions proposal solution. To reduce the false positive detections, we set a single class for the major contaminant ice, and pick out all the ice particles in the whole datasets. Tests on the recently-published cryo-EM data of three proteins have demonstrated that our approach can automatically accomplish the human-level particle picking task, and we successfully reduce the test time from 1.5 minutes of previous deep learning method to 2 seconds without any recall or precision losses. Our program is available under the MIT License at https://github.com/xiao1fan/FastParticlePicker.

  6. [Cu13 {S2 CN(n) Bu2 }6 (acetylide)4 ](+) : A Two-Electron Superatom.

    Science.gov (United States)

    Chakrahari, Kiran Kumarvarma; Liao, Jian-Hong; Kahlal, Samia; Liu, Yu-Chiao; Chiang, Ming-Hsi; Saillard, Jean-Yves; Liu, C W

    2016-11-14

    The first structurally characterized copper cluster with a Cu13 centered cuboctahedral arrangement, a model of the bulk copper fcc structure, was observed in [Cu13 (S2 CN(n) Bu2 )6 (C≡CR)4 ](PF6 ) (R=C(O)OMe, C6 H4 F) nanoclusters. Four of the eight triangular faces of the cuboctahedron are capped by acetylide groups in μ3  fashion, and each of the six square faces is bridged by a dithiolate ligand in μ2 ,μ2 fashion, which leads to a truncated tetrahedron of twelve sulfur atoms. DFT calculations are fully consistent with the description of these Cu13 clusters as two-electron superatoms, that is, a [Cu13 ](11+) core passivated by ten monoanionic ligands, with an a1 HOMO containing two 1S jellium electrons.

  7. A diagnostic interface for the ICOsahedral Non-hydrostatic (ICON) modelling framework based on the Modular Earth Submodel System (MESSy v2.50)

    Science.gov (United States)

    Kern, Bastian; Jöckel, Patrick

    2016-10-01

    Numerical climate and weather models have advanced to finer scales, accompanied by large amounts of output data. The model systems hit the input and output (I/O) bottleneck of modern high-performance computing (HPC) systems. We aim to apply diagnostic methods online during the model simulation instead of applying them as a post-processing step to written output data, to reduce the amount of I/O. To include diagnostic tools into the model system, we implemented a standardised, easy-to-use interface based on the Modular Earth Submodel System (MESSy) into the ICOsahedral Non-hydrostatic (ICON) modelling framework. The integration of the diagnostic interface into the model system is briefly described. Furthermore, we present a prototype implementation of an advanced online diagnostic tool for the aggregation of model data onto a user-defined regular coarse grid. This diagnostic tool will be used to reduce the amount of model output in future simulations. Performance tests of the interface and of two different diagnostic tools show, that the interface itself introduces no overhead in form of additional runtime to the model system. The diagnostic tools, however, have significant impact on the model system's runtime. This overhead strongly depends on the characteristics and implementation of the diagnostic tool. A diagnostic tool with high inter-process communication introduces large overhead, whereas the additional runtime of a diagnostic tool without inter-process communication is low. We briefly describe our efforts to reduce the additional runtime from the diagnostic tools, and present a brief analysis of memory consumption. Future work will focus on optimisation of the memory footprint and the I/O operations of the diagnostic interface.

  8. The ESA FELYX High Resolution Diagnostic Data Set System Design and Implementation

    Science.gov (United States)

    Taberner, M.; Shutler, J.; Walker, P.; Poulter, D.; Piolle, J.-F.; Donlon, C.; Guidetti, V.

    2013-10-01

    Felyx is currently under development and is the latest evolution of a generalised High Resolution Diagnostic Data Set system funded by ESA. It draws on previous prototype developments and experience in the GHRSST, Medspiration, GlobColour and GlobWave projects. In this paper, we outline the design and implementation of the system, and illustrate using the Ocean Colour demonstration activities. Felyx is fundamentally a tool to facilitate the analysis of EO data: it is being developed by IFREMER, PML and Pelamis. It will be free software written in python and javascript. The aim is to provide Earth Observation data producers and users with an opensource, flexible and reusable tool to allow the quality and performance of data streams from satellite, in situ and model sources to be easily monitored and studied. New to this project, is the ability to establish and incorporate multi-sensor match-up database capabilities. The systems will be deployable anywhere and even include interaction mechanisms between the deployed instances. The primary concept of Felyx is to work as an extraction tool. It allows for the extraction of subsets of source data over predefined target areas(which can be static or moving). These data subsets, and associated metrics, can then be accessed by users or client applications either as raw files or through automatic alerts. These data can then be used to generate periodic reports or be used for statistical analysis and visualisation through a flexible web interface. Felyx can be used for subsetting, the generation of statistics, the generation of reports or warnings/alerts, and in-depth analyses, to name a few. There are many potential applications but important uses foreseen are: * monitoring and assessing the quality of Earth observations (e.g. satellite products and time series) through statistical analysis and/or comparison with other data sources * assessing and inter-comparing geophysical inversion algorithms * observing a given phenomenon

  9. The Challenges of Sensing and Repairing Software Defects in Autonomous Systems

    Science.gov (United States)

    2014-05-09

    designing accurate anomaly detection systems.” IFIP/ACM Latin American Networking Conference, San Jose, Costa Rica , 2007. 14  Approved for public...loss-to-computer-bugs-18122012.htm, 2012. [9] Mike Mount, Quijano Elaine. “Iraqi insurgents hacked Predator drone feeds, U.S. official indicates...CNN.com, URL: http: // www. cnn. com/ 2009/ US/ 12/ 17/ drone . video. hacked/ index. html , Dec. 17, 2009. [10] B. Cox, D. Evans, A. Filipi, J

  10. Development of a majority vote decision module for a self-diagnostic monitoring system for an air-operated valve system

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Woo Shin [Dept. of Information and Communication Engineering, Sejong University, Seoul (Korea, Republic of); Chai, Jang Bom [Dept. of Mechanical Engineering, Ajou University, Suwon (Korea, Republic of); Kim, In Taek [Dept. of Information and Communication Engineering, Myongji University, Yongin (Korea, Republic of)

    2015-08-15

    A self-diagnostic monitoring system is a system that has the ability to measure various physical quantities such as temperature, pressure, or acceleration from sensors scattered over a mechanical system such as a power plant, in order to monitor its various states, and to make a decision about its health status. We have developed a self-diagnostic monitoring system for an air-operated valve system to be used in a nuclear power plant. In this study, we have tried to improve the self-diagnostic monitoring system to increase its reliability. We have implemented three different machine learning algorithms, i.e., logistic regression, an artificial neural network, and a support vector machine. After each algorithm performs the decision process independently, the decision-making module collects these individual decisions and makes a final decision using a majority vote scheme. With this, we performed some simulations and presented some of its results. The contribution of this study is that, by employing more robust and stable algorithms, each of the algorithms performs the recognition task more accurately. Moreover, by integrating these results and employing the majority vote scheme, we can make a definite decision, which makes the self-diagnostic monitoring system more reliable.

  11. ANALYSIS OF THE POSSIBILITY OF INTEGRATING A MINING RIGHT-ANGLE PLANETARY GEARBOX WITH TECHNICAL DIAGNOSTICS SYSTEMS

    Directory of Open Access Journals (Sweden)

    Andrzej WIECZOREK

    2016-12-01

    Full Text Available A key factor enabling the achievement of the required capacity by longwall mining systems is to obtain a satisfactory service life for individual components of such systems. Such components include right-angle planetary gearboxes for armoured face conveyors. An increase in the service life of such equipment can be achieved by ensuring adequacy in terms of design, materials and organization. As a part of organizational changes, the use of individual diagnostics systems may have the greatest impact on the service life of mining gearboxes; however, their widespread implementation is limited by economic and operational barriers. This paper presents an analysis of the possibility of integrating mining gearboxes with electronic systems of technical diagnostics, as well as expanding the scope of the technical condition monitoring by the machines operating together with these gearboxes. As a result of the calculation and design work performed, it has been demonstrated that it is possible to integrate technical diagnostics systems with advanced data transmission capabilities inside gearboxes.

  12. Differential diagnostics of the musculoskeletal system in sports medicine; Differenzialdiagnostische Untersuchung in der Sportmedizin des Bewegungsapparats

    Energy Technology Data Exchange (ETDEWEB)

    Nehrer, S. [Donau-Universitaet Krems, Department fuer Klinische Medizin und Biotechnologie, Zentrum fuer Regenerative Medizin, Krems (Austria)

    2010-05-15

    The positive effects of sports on the cardiovascular and musculoskeleal systems are widely accepted. Nevertheless, sports also can cause injury and overuse leading to sport-specific problems, which are often a challenge in diagnosing and treatment. The history of the sport-related injury is crucial for further differential diagnosis. Careful inspection, palpation and functional testing can reveal the possible pathology and lead to an effective strategy in the diagnostic assessment using radiographic tools such as sonography, X-ray and MR imaging (MRI). In muscle and tendon injuries sonography can provide ready to use information concerning muscle tears and tendon ruptures or degenerative lesions. Plain X-rays give a good overview on joint conditions regarding the bone and sometimes have to be completed by focused enlargement of the critical structure, especially in stress fractures and small bone lesions. MRT is the gold standard in the evaluation of interarticular and extra-articular sport-related pathologies, however, an exact clinical diagnosis allows a more effective investigation protocol. Profound knowledge of possible sport-specific injury and overuse patterns is necessary to detect lesions of the musculoskeletal system in active athletes and to use the fitting radiographic strategy for confirmation. The exact diagnosis is the prerequisite for initiating the appropriate treatment and a fast sports medical rehabilitation process. (orig.) [German] Die positive Auswirkung von Sport auf das Herz-Kreislauf-System und den Bewegungsapparat ist weitgehend gesichert. Trotzdem kann es bei der Sportausuebung zu sportspezifischen Problemen kommen, die den Sportarzt bei der Abklaerung dieser Schmerzsyndrome oft vor grosse Herausforderungen stellen. Die Ursache von Sportschaeden und Verletzungen sind einerseits akute Traumata, andererseits aber auch Ueberlastungen oder Kombinationen von beiden. Die Erhebung einer Anamnese unter Beruecksichtigung sportspezifischer Aspekte

  13. Pushing the boundaries of diagnostic CT systems for high spatial resolution imaging tasks

    Science.gov (United States)

    Cruz-Bastida, Juan P.; Gomez-Cardona, Daniel; Garrett, John W.; Szczykutowicz, Timothy P.; Chen, Guang-Hong; Li, Ke

    2017-03-01

    In a previous work [Cruz-Bastida et al Med. Phys. 43, 2399 (2016)], the spatial resolution performance of a new High-Resolution (Hi-Res) multi-detector row CT (MDCT) scan mode and the associated High Definition (HD) reconstruction kernels was systematically characterized. The purpose of the present work was to study the noise properties of the Hi-Res scan mode and the joint impact of spatial resolution and noise characteristics on high contrast and high spatial resolution imaging tasks. Using a physical phantom and a diagnostic MDCT system, equipped with both Hi-Res and conventional scan modes, noise power spectrum (NPS) measurements were performed at 8 off-centered positions (0 to 14 cm with an increment of 2 cm) for 8 non-HD kernels and 7 HD kernels. An in vivo rabbit experiment was then performed to demonstrate the potential clinical value of the Hi-Res scan mode. Without the HD kernels, the Hi-Res scan mode preserved the shape of the NPS and slightly increased noise magnitude across all object positions. The combined use of the Hi-Res scan mode and HD kernels led to a greater noise increase and pushed the NPS towards higher frequencies, particularly for those edge-preserving or edge-enhancing HD kernels. Results of the in vivo rabbit study demonstrate important trade-offs between spatial resolution and noise characteristics. Overall, for a given high contrast and high spatial resolution imaging task (bronchi imaging), the benefit of spatial resolution improvement introduced by the Hi-Res scan mode outweighs the potential noise amplification, leading to better overall imaging performance for both centered and off-centered positions.

  14. Predictive validity of the physical disorders axis of the DSM multiaxial diagnostic system.

    Science.gov (United States)

    Saavedra, J E; Mezzich, J E; Salloum, I M; Kirisci, L

    2001-07-01

    This paper reports on the predictive validity of the physical disorders axis (axis III) of the DSM multiaxial diagnostic system at 3-year follow-up. A total of 515 general psychiatric patients were assessed with a semistructured procedure that covers all DSM-III diagnoses and axes, and were subsequently followed up for 3 years. Outcome was assessed with several measures of adaptive functioning. Baseline axis III was analyzed according to a) presence of any physical disorder, b) the number of these, c) presence of major chronic physical disorders (MCPD), and d) the number of these. Prediction of impairment in functioning (Strauss-Carpenter Scale), derived from baseline axis III, ranged from a correlation coefficient of .18 when expressed as the presence of any physical disorder to .35 when represented by the number of MCPD. Furthermore, within patients with specific psychiatric disorders, it was found that number of MCPD reached a predictive validity of .55 for patients with dysthymic disorders, .44 for those with anxiety disorders, and .41 for those with major depression. Comparative multiple regression analyses, controlling for demographic and clinical variables, showed that the number of MCPD at baseline was the most important predictor of functioning outcome among patients with dysthymic disorders and major depression. The number of MCPD experienced by general psychiatric patients seems to be an important predictor of future functioning, particularly for patients with certain psychiatric disorders. This points out the importance of considering the relationship between psychiatric and MCPD when conducting systematic clinical assessments towards the prediction of course and outcome.

  15. A Diagnostic System for Studying Energy Partitioning and Assessing the Response of the Ionosphere during HAARP Modification Experiments

    Science.gov (United States)

    Djuth, Frank T.; Elder, John H.; Williams, Kenneth L.

    1996-01-01

    This research program focused on the construction of several key radio wave diagnostics in support of the HF Active Auroral Ionospheric Research Program (HAARP). Project activities led to the design, development, and fabrication of a variety of hardware units and to the development of several menu-driven software packages for data acquisition and analysis. The principal instrumentation includes an HF (28 MHz) radar system, a VHF (50 MHz) radar system, and a high-speed radar processor consisting of three separable processing units. The processor system supports the HF and VHF radars and is capable of acquiring very detailed data with large incoherent scatter radars. In addition, a tunable HF receiver system having high dynamic range was developed primarily for measurements of stimulated electromagnetic emissions (SEE). A separate processor unit was constructed for the SEE receiver. Finally, a large amount of support instrumentation was developed to accommodate complex field experiments. Overall, the HAARP diagnostics are powerful tools for studying diverse ionospheric modification phenomena. They are also flexible enough to support a host of other missions beyond the scope of HAARP. Many new research programs have been initiated by applying the HAARP diagnostics to studies of natural atmospheric processes.

  16. Developing a science of clinical utility in diagnostic classification systems field study strategies for ICD-11 mental and behavioral disorders.

    Science.gov (United States)

    Keeley, Jared W; Reed, Geoffrey M; Roberts, Michael C; Evans, Spencer C; Medina-Mora, María Elena; Robles, Rebeca; Rebello, Tahilia; Sharan, Pratap; Gureje, Oye; First, Michael B; Andrews, Howard F; Ayuso-Mateos, José Luís; Gaebel, Wolfgang; Zielasek, Juergen; Saxena, Shekhar

    2016-01-01

    The World Health Organization (WHO) Department of Mental Health and Substance Abuse has developed a systematic program of field studies to evaluate and improve the clinical utility of the proposed diagnostic guidelines for mental and behavioral disorders in the Eleventh Revision of the International Classification of Diseases and Related Health Problems (ICD-11). The clinical utility of a diagnostic classification is critical to its function as the interface between health encounters and health information, and to making the ICD-11 be a more effective tool for helping the WHO's 194 member countries, including the United States, reduce the global disease burden of mental disorders. This article describes the WHO's efforts to develop a science of clinical utility in regard to one of the two major classification systems for mental disorders. We present the rationale and methodologies for an integrated and complementary set of field study strategies, including large international surveys, formative field studies of the structure of clinicians' conceptualization of mental disorders, case-controlled field studies using experimental methodologies to evaluate the impact of proposed changes to the diagnostic guidelines on clinicians' diagnostic decision making, and ecological implementation field studies of clinical utility in the global settings in which the guidelines will ultimately be implemented. The results of these studies have already been used in making decisions about the structure and content of ICD-11. If clinical utility is indeed among the highest aims of diagnostic systems for mental disorders, as their developers routinely claim, future revision efforts should continue to build on these efforts. (PsycINFO Database Record

  17. Final design of the generic upper port plug structure for ITER diagnostic systems

    Energy Technology Data Exchange (ETDEWEB)

    Pak, Sunil, E-mail: paksunil@nfri.re.kr [National Fusion Research Institute, Daejeon (Korea, Republic of); Feder, Russell [Princeton Plasma Physics Laboratory, Princeton, NJ (United States); Giacomin, Thibaud; Guirao, Julio; Iglesias, Silvia; Josseaume, Fabien [ITER Organization, Route de Vinon sur Verdon, 13115 St Paul-lez-Durance (France); Kalish, Michael; Loesser, Douglas [Princeton Plasma Physics Laboratory, Princeton, NJ (United States); Maquet, Philippe [ITER Organization, Route de Vinon sur Verdon, 13115 St Paul-lez-Durance (France); Ordieres, Javier; Panizo, Marcos [NATEC, Ingenieros, Gijón (Spain); Pitcher, Spencer; Portalès, Mickael [ITER Organization, Route de Vinon sur Verdon, 13115 St Paul-lez-Durance (France); Proust, Maxime [CEA, Cadarache, St. Paul-lez-Durance (France); Ronden, Dennis [FOM Institute DIFFER, Nieuwegein (Netherlands); Serikov, Arkady [Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen (Germany); Suarez, Alejandro [ITER Organization, Route de Vinon sur Verdon, 13115 St Paul-lez-Durance (France); Tanchuk, Victor [NIIEFA, St.-Petersburg (Russian Federation); Udintsev, Victor; Vacas, Christian [ITER Organization, Route de Vinon sur Verdon, 13115 St Paul-lez-Durance (France); and others

    2016-01-15

    The generic upper port plug (GUPP) structure in ITER is a 6 m long metal box which deploys diagnostic components into the vacuum vessel. This structure is commonly used for all the diagnostic upper ports. The final design of the GUPP structure, which has successfully passed the final design review in 2013, is described here. The diagnostic port plug is cantilevered to the vacuum vessel with a heavy payload at the front, so called the diagnostic first wall (DFW) and the diagnostic shield module (DSM). Most of electromagnetic (EM) load (∼80%) occurs in DFW/DSM. Therefore, the mounting design to transfer the EM load from DFW/DSM to the GUPP structure is challenging, which should also comply with thermal expansion and tolerance for assembly and manufacturing. Another key design parameter to be considered is the gap between the port plug and the vacuum vessel port. The gap should be large enough to accommodate the remote handling of the heavy port plug (max. 25 t), the structural deflection due to external loads and machine assembly tolerance. At the same time, the gap should be minimized to stop the neutron streaming according to the ALARA (as low as reasonably achievable) principle. With these design constraints, the GUPP structure should also provide space for diagnostic integration as much as possible. This requirement has led to the single wall structure having the gun-drilled water channels inside the structure. Furthermore, intensive efforts have been made on the manufacturing study including material selection, manufacturing codes and French regulation related to nuclear equipment and safety. All these main design and manufacturing aspects are discussed in this paper, including requirements, interfaces, loads and structural assessment and maintenance.

  18. Preliminary Calculations of Shutdown Dose Rate for the CTS Diagnostics System

    DEFF Research Database (Denmark)

    Klinkby, Esben Bryndt; Nonbøl, Erik; Lauritzen, Bent

    2015-01-01

    DTU and IST 2 are partners in the design of a collective Thomson Scattering (CTS) diagnostics for ITER through a contract with F4E. The CTS diagnostic utilizes probing radiation of ~60 GHz emitted into the plasma and, using a mirror, collects the scattered radiation by an array of receivers. Having...... a direct and unshielded view to the plasma, the first mirror will be subject to significant radiation and among the first tasks in the CTS design, is to determine whether the mirror will need active cooling. At present the CTS is in the conceptual design phase and the related neutronics calculations focus...

  19. Decentralized diagnostics based on a distributed micro-genetic algorithm for transducer networks monitoring large experimental systems.

    Science.gov (United States)

    Arpaia, P; Cimmino, P; Girone, M; La Commara, G; Maisto, D; Manna, C; Pezzetti, M

    2014-09-01

    Evolutionary approach to centralized multiple-faults diagnostics is extended to distributed transducer networks monitoring large experimental systems. Given a set of anomalies detected by the transducers, each instance of the multiple-fault problem is formulated as several parallel communicating sub-tasks running on different transducers, and thus solved one-by-one on spatially separated parallel processes. A micro-genetic algorithm merges evaluation time efficiency, arising from a small-size population distributed on parallel-synchronized processors, with the effectiveness of centralized evolutionary techniques due to optimal mix of exploitation and exploration. In this way, holistic view and effectiveness advantages of evolutionary global diagnostics are combined with reliability and efficiency benefits of distributed parallel architectures. The proposed approach was validated both (i) by simulation at CERN, on a case study of a cold box for enhancing the cryogeny diagnostics of the Large Hadron Collider, and (ii) by experiments, under the framework of the industrial research project MONDIEVOB (Building Remote Monitoring and Evolutionary Diagnostics), co-funded by EU and the company Del Bo srl, Napoli, Italy.

  20. On the lifetime of the first mirrors in the diagnostic systems of the international thermonuclear experimental reactor

    OpenAIRE

    De Temmerman, Gregory

    2006-01-01

    Plasma diagnostic systems will be necessary tools for the future success of the International Thermonuclear Experimental Reactor (ITER) both to better understand the physics involved in magnetically confined burning plasma and for the protection of the device in case of disruptions etc. In contrast to conditions in today’s tokamaks, a high level of radiation and neutrons is expected in ITER. To reduce the extent of the possible neutron leakage and to protect the optical compone...

  1. A Portable, Pressure Driven, Room Temperature Nucleic Acid Extraction and Storage System for Point of Care Molecular Diagnostics

    OpenAIRE

    Byrnes, Samantha; Fan, Andy; Trueb, Jacob; Jareczek, Francis; Mazzochette, Mark; Sharon, Andre; Sauer-Budge, Alexis F.; Klapperich, Catherine M.

    2013-01-01

    Many new and exciting portable HIV viral load testing technologies are emerging for use in global medicine. While the potential to provide fast, isothermal, and quantitative molecular diagnostic information to clinicians in the field will soon be a reality, many of these technologies lack a robust front end for sample clean up and nucleic acid preparation. Such a technology would enable many different downstream molecular assays. Here, we present a portable system for centrifuge-free room tem...

  2. Status of the R&D activities to the design of an ITER core CXRS diagnostic system

    Energy Technology Data Exchange (ETDEWEB)

    Mertens, Philippe, E-mail: ph.mertens@fz-juelich.de [Institute of Energy and Climate Research IEK-4 (Plasma Physics), Forschungszentrum Jülich (FZJ), Trilateral Euregio Cluster, D-52425 Jülich (Germany); Castaño Bardawil, David A. [Institute of Energy and Climate Research IEK-4 (Plasma Physics), Forschungszentrum Jülich (FZJ), Trilateral Euregio Cluster, D-52425 Jülich (Germany); Baross, Tétény [Wigner Research Centre for Physics (Wigner RCP), HU-1121 Budapest (Hungary); Biel, Wolfgang; Friese, Sebastian [Institute of Energy and Climate Research IEK-4 (Plasma Physics), Forschungszentrum Jülich (FZJ), Trilateral Euregio Cluster, D-52425 Jülich (Germany); Hawkes, Nick [Culham Centre for Fusion Energy (CCFE), Culham OX14 3DB (United Kingdom); Jaspers, Roger J.E. [Eindhoven University of Technology (TU/e), PO Box 513, NL-5600 MB Eindhoven (Netherlands); Kotov, Vladislav; Krasikov, Yury; Krimmer, Andreas; Litnovsky, Andrey; Marchuk, Oleksander; Neubauer, Olaf [Institute of Energy and Climate Research IEK-4 (Plasma Physics), Forschungszentrum Jülich (FZJ), Trilateral Euregio Cluster, D-52425 Jülich (Germany); Offermanns, Guido [Zentralinstitut für Engineering, Elektronik und Analytik ZEA-1 (Engineering and Technology), FZJ, Trilateral Euregio Cluster, D-52425 Jülich (Germany); Panin, Anatoly [Institute of Energy and Climate Research IEK-4 (Plasma Physics), Forschungszentrum Jülich (FZJ), Trilateral Euregio Cluster, D-52425 Jülich (Germany); and others

    2015-10-15

    Highlights: • The CXRS diagnostic for the core plasma of ITER will provide observation of the dedicated diagnostic beam (DNB) over a wide radial range, roughly r/a = 0.7 to 0. • A high performance (étendue × transmission, dynamic range) is expected for the port plug system since the beam attenuation is large and the background light omnipresent. • The design is particularly challenging in view of the ITER environment, especially with respect to the first mirror which faces the plasma. • The current status of development is presented by detailing several sub-systems before a four years design phase under an FPA between F4E and the ITER core CXRS Consortium (IC3). - Abstract: The CXRS (Charge-eXchange Recombination Spectroscopy) diagnostic for the core plasma of ITER will be designed to provide observation of the dedicated diagnostic beam (DNB) over a wide radial range, roughly from a normalised radius r/a = 0.7 to close to the plasma axis. The collected light will be transported through the Upper Port Plug #3 (UPP3) to a bundle of fibres and ultimately to a set of remote spectrometers. The design is particularly challenging in view of the ITER environment of particle, heat and neutron fluxes, temperature cycles, electromagnetic loads, vibrations, expected material degradation and fatigue, constraints against tritium penetration, integration in the plug and limited opportunities for maintenance. Moreover, a high performance (étendue × transmission, dynamic range) is expected for the port plug system since the beam attenuation is large and the background light omnipresent, especially in terms of bremsstrahlung, line radiation and reflections. The present contribution will give an overview of the current status and activities which deal with the core CXRS system, summarising the investigations which have taken place before entering the actual development and design phase.

  3. Development and improvement of the operating diagnostics systems of NPO CKTI works for turbine of thermal and nuclear power plants

    Science.gov (United States)

    Kovalev, I. A.; Rakovskii, V. G.; Isakov, N. Yu.; Sandovskii, A. V.

    2016-03-01

    The work results on the development and improvement of the techniques, algorithms, and software-hardware of continuous operating diagnostics systems of rotating units and parts of turbine equipment state are presented. In particular, to ensure the full remote service of monitored turbine equipment using web technologies, the web version of the software of the automated systems of vibration-based diagnostics (ASVD VIDAS) was developed. The experience in the automated analysis of data obtained by ASVD VIDAS form the basis of the new algorithm of early detection of such dangerous defects as rotor deflection, crack in the rotor, and strong misalignment of supports. The program-technical complex of monitoring and measuring the deflection of medium pressure rotor (PTC) realizing this algorithm will alert the electric power plant staff during a deflection and indicate its value. This will give the opportunity to take timely measures to prevent the further extension of the defect. Repeatedly, recorded cases of full or partial destruction of shrouded shelves of rotor blades of the last stages of low-pressure cylinders of steam turbines defined the need to develop a version of the automated system of blade diagnostics (ASBD SKALA) for shrouded stages. The processing, analysis, presentation, and backup of data characterizing the mechanical state of blade device are carried out with a newly developed controller of the diagnostics system. As a result of the implementation of the works, the diagnosed parameters determining the operation security of rotating elements of equipment was expanded and the new tasks on monitoring the state of units and parts of turbines were solved. All algorithmic solutions and hardware-software implementations mentioned in the article were tested on the test benches and applied at some power plants.

  4. Conference "Internet, Web, What's next?" on 26 June 1998 at CERN: Mark Bernstein, Vice President of CNN Interactive, describes the impact of the Web on world media and predicts what we can expect as the next developments

    CERN Multimedia

    1998-01-01

    Conference "Internet, Web, What's next?" on 26 June 1998 at CERN: Mark Bernstein, Vice President of CNN Interactive, describes the impact of the Web on world media and predicts what we can expect as the next developments

  5. Overview on R and D and design activities for the ITER core charge exchange spectroscopy diagnostic system

    Energy Technology Data Exchange (ETDEWEB)

    Biel, W., E-mail: w.biel@fz-juelich.de [Institut fuer Energieforschung - Plasmaphysik, Forschungszentrum Juelich Gmbh, Association EURATOM-FZJ, member of Trilateral Euregio Cluster, 52425 Juelich (Germany); Baross, T. [KFKI RMKI, EURATOM Association, PO Box 49, H-1521 Budapest (Hungary); Bourauel, P. [Institut fuer Energieforschung - Plasmaphysik, Forschungszentrum Juelich Gmbh, Association EURATOM-FZJ, member of Trilateral Euregio Cluster, 52425 Juelich (Germany); Dunai, D. [KFKI RMKI, EURATOM Association, PO Box 49, H-1521 Budapest (Hungary); Durkut, M. [TNO Science and Industry, Partner in ITER-NL, P.O. Box 155, 2600 AD Delft (Netherlands); Erdei, G. [BME, EURATOM Association, PO Box 91, H-1521 Budapest (Hungary); Hawkes, N. [Association EURATOM/CCFE, OX14 3DB Abingdon (United Kingdom); Hellermann, M. von [FOM-Institute for Plasma Physics Rijnhuizen, Association EURATOM-FOM, partner in the Trilateral Euregio Cluster and ITER-NL, P.O. Box 1207, 3430 BE Nieuwegein (Netherlands); Hogenbirk, A. [Nuclear Research and Consultancy Group V.o.F., Petten (Netherlands); Jaspers, R. [Department of Applied Physics, Eindhoven University of Technology (Netherlands); Kiss, G. [Institut fuer Energieforschung - Plasmaphysik, Forschungszentrum Juelich Gmbh, Association EURATOM-FZJ, member of Trilateral Euregio Cluster, 52425 Juelich (Germany); Klinkhamer, F. [TNO Science and Industry, Partner in ITER-NL, P.O. Box 155, 2600 AD Delft (Netherlands); Koning, J.F. [FOM-Institute for Plasma Physics Rijnhuizen, Association EURATOM-FOM, partner in the Trilateral Euregio Cluster and ITER-NL, P.O. Box 1207, 3430 BE Nieuwegein (Netherlands); Kotov, V.; Krasikov, Y.; Krimmer, A. [Institut fuer Energieforschung - Plasmaphysik, Forschungszentrum Juelich Gmbh, Association EURATOM-FZJ, member of Trilateral Euregio Cluster, 52425 Juelich (Germany)

    2011-10-15

    The ITER core charge exchange recombination spectroscopy (core CXRS) diagnostic system is designed to provide experimental access to various measurement quantities in the ITER core plasma such as ion densities, temperatures and velocities. The implementation of the approved CXRS diagnostic principle on ITER faces significant challenges: First, a comparatively low CXRS signal intensity is expected, together with a high noise level due to bremsstrahlung, while the requested measurement accuracy and stability for the core CXRS system go far beyond the level commonly achieved in present-day fusion experiments. Second, the lifetime of the first mirror surface is limited due to either erosion by fast particle bombardment or deposition of impurities. Finally, the hostile technical environment on ITER imposes challenging boundary conditions for the diagnostic integration and operation, including high neutron loads, electro-magnetic loads, seismic events and a limited access for maintenance. A brief overview on the R and D and design activities for the core CXRS system is presented here, while the details are described in parallel papers.

  6. Ischemic Stroke Detection System with a Computer-Aided Diagnostic Ability Using an Unsupervised Feature Perception Enhancement Method

    Directory of Open Access Journals (Sweden)

    Yeu-Sheng Tyan

    2014-01-01

    Full Text Available We propose an ischemic stroke detection system with a computer-aided diagnostic ability using a four-step unsupervised feature perception enhancement method. In the first step, known as preprocessing, we use a cubic curve contrast enhancement method to enhance image contrast. In the second step, we use a series of methods to extract the brain tissue image area identified during preprocessing. To detect abnormal regions in the brain images, we propose using an unsupervised region growing algorithm to segment the brain tissue area. The brain is centered on a horizontal line and the white matter of the brain’s inner ring is split into eight regions. In the third step, we use a coinciding regional location method to find the hybrid area of locations where a stroke may have occurred in each cerebral hemisphere. Finally, we make corrections and mark the stroke area with red color. In the experiment, we tested the system on 90 computed tomography (CT images from 26 patients, and, with the assistance of two radiologists, we proved that our proposed system has computer-aided diagnostic capabilities. Our results show an increased stroke diagnosis sensitivity of 83% in comparison to 31% when radiologists use conventional diagnostic images.

  7. Ischemic stroke detection system with a computer-aided diagnostic ability using an unsupervised feature perception enhancement method.

    Science.gov (United States)

    Tyan, Yeu-Sheng; Wu, Ming-Chi; Chin, Chiun-Li; Kuo, Yu-Liang; Lee, Ming-Sian; Chang, Hao-Yan

    2014-01-01

    We propose an ischemic stroke detection system with a computer-aided diagnostic ability using a four-step unsupervised feature perception enhancement method. In the first step, known as preprocessing, we use a cubic curve contrast enhancement method to enhance image contrast. In the second step, we use a series of methods to extract the brain tissue image area identified during preprocessing. To detect abnormal regions in the brain images, we propose using an unsupervised region growing algorithm to segment the brain tissue area. The brain is centered on a horizontal line and the white matter of the brain's inner ring is split into eight regions. In the third step, we use a coinciding regional location method to find the hybrid area of locations where a stroke may have occurred in each cerebral hemisphere. Finally, we make corrections and mark the stroke area with red color. In the experiment, we tested the system on 90 computed tomography (CT) images from 26 patients, and, with the assistance of two radiologists, we proved that our proposed system has computer-aided diagnostic capabilities. Our results show an increased stroke diagnosis sensitivity of 83% in comparison to 31% when radiologists use conventional diagnostic images.

  8. A Review on Traditional Caries Diagnostic Systems and Introduction of New International Caries Detection and Assessment System (ICDAS)

    OpenAIRE

    Malek Mohammadi T.; Hajizamani A.

    2011-01-01

    Dental caries is a chronic infection disease that manifests itself through demineralization of dental tissues and cavitations in the tooth structure. The diagnosis of dental caries poses challenges due to the complex interaction of multiple endogenous causal factors. Naturally, visual and visual-tactile examinations have been the most commonly used diagnostic aids in caries examination for many years. A major drawback in common dental examination was the use of varied diagnostic criteria by v...

  9. Radiation protection in medicine (542) comparison of different dosimetry systems for dose measurements in diagnostic radiology

    Energy Technology Data Exchange (ETDEWEB)

    Milkovic, D. [Srebrnjak, Specialized Hospital for Respiratory System Diseases in Children and Youth, Zagreb (Croatia); Ranogajec-Komor, M.; Miljanic, S.; Knezevic, Z.; Krpan, K. [Ruder Boskovic Institute, Zagreb (Croatia)

    2006-07-01

    The dose measurement on patients in X-ray diagnostic is not simple, because low doses with low and various energies have to be measured. The aim of this preliminary study was to compare high sensitivity thermoluminescent dosimeter (T.L.D.) (LiF:Mg,Cu,P) and radio-photoluminescent (R.P.L.) glass dosimeters for dose measurements in routine X-ray diagnostic of chest of children. The energy dependence of the dosimeters was investigated in Secondary Standard Dosimetry Laboratory (SSDL). The energy range was 33- 65 keV mean energy, the dosimeters were placed free in air and on the water phantom. The results were compared to calculated values of Hp(10). The next step was the irradiation in a routine X-ray diagnostic unit. Irradiations were performed by the Shimadzu X-ray unit. The selected irradiation conditions were the same as that most commonly used for baby examinations. Doses were measured with dosimeters placed free-in-air and also with the dosimeters placed on the water phantom and baby phantom. The results show that the R.P.L. glass dosimeters and LiF:Mg,Cu,P based T.L.D. are suitable for low dose measurements in X-ray diagnostic. The uncertainty of dose determination is mainly caused by the energy dependence of dosimeters. (authors)

  10. Learning Diagnostic Diagrams in Transport-Based Data-Collection Systems

    DEFF Research Database (Denmark)

    Tran, Vu The; Eklund, Peter; Cook, Chris

    2014-01-01

    Insights about service improvement in a transit network can be gained by studying transit service reliability. In this paper, a general procedure for constructing a transit service reliability diagnostic (Tsrd) diagram based on a Bayesian network is proposed to automatically build a behavioural m...

  11. Parent Training Manual Emphasizing Data Systems for Mothers and Children in a Diagnostic Preschool.

    Science.gov (United States)

    Hester, Peggy; Ora, John P.

    Intended for the parents (mothers) of children with behavior problems in a diagnostic intake preschool, the training manual instructs parents in methods of observing and interacting with the children. Parents are instructed in classroom observation techniques involving the collection and recording of data on rating sheets. Detailed are how to rate…

  12. Rotorcraft Diagnostics

    Science.gov (United States)

    Haste, Deepak; Azam, Mohammad; Ghoshal, Sudipto; Monte, James

    2012-01-01

    Health management (HM) in any engineering systems requires adequate understanding about the system s functioning; a sufficient amount of monitored data; the capability to extract, analyze, and collate information; and the capability to combine understanding and information for HM-related estimation and decision-making. Rotorcraft systems are, in general, highly complex. Obtaining adequate understanding about functioning of such systems is quite difficult, because of the proprietary (restricted access) nature of their designs and dynamic models. Development of an EIM (exact inverse map) solution for rotorcraft requires a process that can overcome the abovementioned difficulties and maximally utilize monitored information for HM facilitation via employing advanced analytic techniques. The goal was to develop a versatile HM solution for rotorcraft for facilitation of the Condition Based Maintenance Plus (CBM+) capabilities. The effort was geared towards developing analytic and reasoning techniques, and proving the ability to embed the required capabilities on a rotorcraft platform, paving the way for implementing the solution on an aircraft-level system for consolidation and reporting. The solution for rotorcraft can he used offboard or embedded directly onto a rotorcraft system. The envisioned solution utilizes available monitored and archived data for real-time fault detection and identification, failure precursor identification, and offline fault detection and diagnostics, health condition forecasting, optimal guided troubleshooting, and maintenance decision support. A variant of the onboard version is a self-contained hardware and software (HW+SW) package that can be embedded on rotorcraft systems. The HM solution comprises components that gather/ingest data and information, perform information/feature extraction, analyze information in conjunction with the dependency/diagnostic model of the target system, facilitate optimal guided troubleshooting, and offer

  13. Development of an Information Fusion System for Engine Diagnostics and Health Management

    Science.gov (United States)

    Volponi, Allan J.; Brotherton, Tom; Luppold, Robert; Simon, Donald L.

    2004-01-01

    Aircraft gas-turbine engine data are available from a variety of sources including on-board sensor measurements, maintenance histories, and component models. An ultimate goal of Propulsion Health Management (PHM) is to maximize the amount of meaningful information that can be extracted from disparate data sources to obtain comprehensive diagnostic and prognostic knowledge regarding the health of the engine. Data Fusion is the integration of data or information from multiple sources, to achieve improved accuracy and more specific inferences than can be obtained from the use of a single sensor alone. The basic tenet underlying the data/information fusion concept is to leverage all available information to enhance diagnostic visibility, increase diagnostic reliability and reduce the number of diagnostic false alarms. This paper describes a basic PHM Data Fusion architecture being developed in alignment with the NASA C17 Propulsion Health Management (PHM) Flight Test program. The challenge of how to maximize the meaningful information extracted from disparate data sources to obtain enhanced diagnostic and prognostic information regarding the health and condition of the engine is the primary goal of this endeavor. To address this challenge, NASA Glenn Research Center (GRC), NASA Dryden Flight Research Center (DFRC) and Pratt & Whitney (P&W) have formed a team with several small innovative technology companies to plan and conduct a research project in the area of data fusion as applied to PHM. Methodologies being developed and evaluated have been drawn from a wide range of areas including artificial intelligence, pattern recognition, statistical estimation, and fuzzy logic. This paper will provide a broad overview of this work, discuss some of the methodologies employed and give some illustrative examples.

  14. [Diagnostic value of HASTE technique and excretory MR urography in urinary system obstructions].

    Science.gov (United States)

    Erdoğmuş, Beşir; Bozkurt, Mahmut; Bakir, Zeki

    2004-12-01

    To compare the diagnostic value of static-liquid magnetic resonance urography (MRU) in T2-weighted HASTE (half-fourier acquisition single-shot turbo spinecho) sequences and T1-weighted excretory MRU with i.v. diuretic and contrast material injection. The study included 29 patients (15 men, 14 women). Thirty-one urinary obstructions were detected on intravenous urography (IVU) two of which were due to bilateral obstructions. The cases were evaluated by T2 HASTE sequences combined with T1-weighted FLASH 3D sequences after i.v. diuretics and gadolinium DTPA injection. Thirty-one urinary obstructions were detected on IVU. Thirty of which were confirmed by T2-weighted MRU and all were confirmed by excretory MRU. In one nonobstructive case, unilateral grade 1 ureteropelvicaliectasis related to ureteral stone was falsely interpreted by both sequences. There were no statistical differences among IVU, T2-weighted MRU and excretory MRU in detecting the obstruction levels. In 22 cases with ureteral stones, 12 of which were confirmed by T2-weighted MRU and 18 cases were confirmed by excretory MRU. Sensitivity and specificity fo detecting the ureteral stones as a cause of obstruction with T2-weighted MRU were 50%and 89% and with excretory MRU were 77% and 89% respectively. In 9 obstructive cases due to causes other than the stones, 8 of which were detected by T2-weighted MRU and all of which were detected by excretory MRU. Sensitivity and specificity for detecting the causes other than the stones with T2-weighted MRU were 96% and 100% and with excretory MRU were 100% and 100% respectively. MRU is a useful thechnique revealing high-quality images to determine the urinary system obstructions to obtain the causes of obstructions. MRU should be used as an alternative imaging technique in cases which IVU can not be applied. The existence and the causes of obstruction can be detected by HASTE MRU. Excretory MRU can supply additional information in cases with functional kidneys where

  15. A novel fully automated molecular diagnostic system (AMDS for colorectal cancer mutation detection.

    Directory of Open Access Journals (Sweden)

    Shiro Kitano

    Full Text Available BACKGROUND: KRAS, BRAF and PIK3CA mutations are frequently observed in colorectal cancer (CRC. In particular, KRAS mutations are strong predictors for clinical outcomes of EGFR-targeted treatments such as cetuximab and panitumumab in metastatic colorectal cancer (mCRC. For mutation analysis, the current methods are time-consuming, and not readily available to all oncologists and pathologists. We have developed a novel, simple, sensitive and fully automated molecular diagnostic system (AMDS for point of care testing (POCT. Here we report the results of a comparison study between AMDS and direct sequencing (DS in the detection of KRAS, BRAF and PI3KCA somatic mutations. METHODOLOGY/PRINCIPAL FINDING: DNA was extracted from a slice of either frozen (n = 89 or formalin-fixed and paraffin-embedded (FFPE CRC tissue (n = 70, and then used for mutation analysis by AMDS and DS. All mutations (n = 41 among frozen and 27 among FFPE samples detected by DS were also successfully (100% detected by the AMDS. However, 8 frozen and 6 FFPE samples detected as wild-type in the DS analysis were shown as mutants in the AMDS analysis. By cloning-sequencing assays, these discordant samples were confirmed as true mutants. One sample had simultaneous "hot spot" mutations of KRAS and PIK3CA, and cloning assay comfirmed that E542K and E545K were not on the same allele. Genotyping call rates for DS were 100.0% (89/89 and 74.3% (52/70 in frozen and FFPE samples, respectively, for the first attempt; whereas that of AMDS was 100.0% for both sample sets. For automated DNA extraction and mutation detection by AMDS, frozen tissues (n = 41 were successfully detected all mutations within 70 minutes. CONCLUSIONS/SIGNIFICANCE: AMDS has superior sensitivity and accuracy over DS, and is much easier to execute than conventional labor intensive manual mutation analysis. AMDS has great potential for POCT equipment for mutation analysis.

  16. Diagnostic value of nine nucleic acid amplification test systems for Mycobacterium tuberculosis complex

    Directory of Open Access Journals (Sweden)

    Gülnur Tarhan

    2015-09-01

    Full Text Available Objective: In this study, nine commercial Nucleic Acid Amplification Test Systems (NAATs were evaluated for diagnostic performance of Mycobacterium tuberculosis complex (MTBC from smear positive sputum species (SPss and smear negative sputum specimens (SNss. Methods: Sixty SPss and 55 SNss were examined icroscopically by Ehrlich Ziehl Neelsen (EZN staining method, and also inoculated on Löwenstein Jensen (LJ medium for culture. The sensitivity and specificity of nine NAATs were calculated according to LJ culture method accepted as gold standard. Results: When LJ culture results were taken as gold standard; the sensitivity rates of method COBAS Amplicor MTB (Method A, GenProbe MTD (Method B, Cobas TaqMan MTB PCR Method C, iCycler iQ RT PCR (Method D, TaqMan PCR AB 5700 (Method E, TaqMan PCR AB7700 (Method F, ightCycler® 480 RT PCR (Method G, Rotor Gene RT PCR (Method H and the AdvanSure TB/NTM RT PCR (Method I for SPss were 98.3 %, 93.3 %, 96.7 %, 100 %, 93.3 %, 100 %, 100 %, 100 % and 100 %, respectively. The sensitivity was 53.84% for the methods A, B, D, E, G and I; 38.46% for the method C and H; 61.5% for the method F for the method I in SNss. There were no statistical significant differences between the nine NAATs (p≥0.05. The specificity was 100% for all nine NAATs in SNss. The positivity rates of methods were 53.8% for methods A, B, D, E, G, I; 38.5% for methods C and H, and 61.5% for method F in SNss. These rates were 100% for D, F, G, H and I; 98.3% for method A; 96.7% for method C; 93,3% for methods B and E in SPss. Statistical analysis showed that there was no statistically significant differences among the nine NAATs (p≥0.05. Conclusion: It is concluded that the nine NAATs might be useful for detecting MTBC from SPss, but not effective for SNss. J Microbiol Infect Dis 2015;5(3: 103-109

  17. Diagnostic accuracy of apparent diffusion coefficient and 123I-metaiodobenzylguanidine for differentiation of multiple system atrophy and Parkinson's disease.

    Directory of Open Access Journals (Sweden)

    Atsushi Umemura

    Full Text Available BACKGROUND: It is often hard to differentiate Parkinson's disease (PD and parkinsonian variant of multiple system atrophy (MSA-P, especially in the early stages. Cardiac sympathetic denervation and putaminal rarefaction are specific findings for PD and MSA-P, respectively. PURPOSE: We investigated diagnostic accuracy of putaminal apparent diffusion coefficient (ADC test for MSA-P and (123I-metaiodobenzylguanidine (MIBG scintigram for PD, especially in early-stage patients. METHODS: The referral standard diagnosis of PD and MSA-P were the diagnostic criteria of the United Kingdom Parkinson's Disease Society Brain Bank Criteria and the second consensus criteria, respectively. Based on the referral standard criteria, diagnostic accuracy [area under the receiver-operator characteristic curve (AUC, sensitivity and specificity] of the ADC and MIBG tests was estimated retrospectively. Diagnostic accuracy of these tests performed within 3 years of symptom onset was also investigated. RESULTS: ADC and MIBG tests were performed on 138 patients (20 MSA and 118 PD. AUC was 0.95 and 0.83 for the ADC and MIBG tests, respectively. Sensitivity and specificity were 85.0% and 89.0% for MSA-P diagnosis by ADC test and 67.0% and 80.0% for PD diagnosis by MIBG test. When these tests were restricted to patients with disease duration ≤ 3 years, the sensitivity and specificity were 75.0% and 91.4% for the ADC test (MSA-P diagnosis and 47.7% and 92.3% for the MIBG test (PD diagnosis. CONCLUSIONS: Both tests were useful in differentiating between PD and MSA-P, even in the early stages. In early-stage patients, elevated putaminal ADC was a diagnostic marker for MSA-P. Despite high specificity of the MIBG test, careful neurological history and examinations were required for PD diagnosis because of possible false-negative results.

  18. Intermediate frequency band digitized high dynamic range radiometer system for plasma diagnostics and real-time Tokamak control

    Science.gov (United States)

    Bongers, W. A.; van Beveren, V.; Thoen, D. J.; Nuij, P. J. W. M.; de Baar, M. R.; Donné, A. J. H.; Westerhof, E.; Goede, A. P. H.; Krijger, B.; van den Berg, M. A.; Kantor, M.; Graswinckel, M. F.; Hennen, B. A.; Schüller, F. C.

    2011-06-01

    An intermediate frequency (IF) band digitizing radiometer system in the 100-200 GHz frequency range has been developed for Tokamak diagnostics and control, and other fields of research which require a high flexibility in frequency resolution combined with a large bandwidth and the retrieval of the full wave information of the mm-wave signals under investigation. The system is based on directly digitizing the IF band after down conversion. The enabling technology consists of a fast multi-giga sample analog to digital converter that has recently become available. Field programmable gate arrays (FPGA) are implemented to accomplish versatile real-time data analysis. A prototype system has been developed and tested and its performance has been compared with conventional electron cyclotron emission (ECE) spectrometer systems. On the TEXTOR Tokamak a proof of principle shows that ECE, together with high power injected and scattered radiation, becomes amenable to measurement by this device. In particular, its capability to measure the phase of coherent signals in the spectrum offers important advantages in diagnostics and control. One case developed in detail employs the FPGA in real-time fast Fourier transform (FFT) and additional signal processing. The major benefit of such a FFT-based system is the real-time trade-off that can be made between frequency and time resolution. For ECE diagnostics this corresponds to a flexible spatial resolution in the plasma, with potential application in smart sensing of plasma instabilities such as the neoclassical tearing mode (NTM) and sawtooth instabilities. The flexible resolution would allow for the measurement of the full mode content of plasma instabilities contained within the system bandwidth.

  19. Intermediate frequency band digitized high dynamic range radiometer system for plasma diagnostics and real-time Tokamak control

    Energy Technology Data Exchange (ETDEWEB)

    Bongers, W. A.; Beveren, V. van; Westerhof, E.; Goede, A. P. H.; Krijger, B.; Berg, M. A. van den; Graswinckel, M. F.; Schueller, F. C. [FOM-Institute for Plasma Physics Rijnhuizen, Association EURATOM-FOM, Trilateral Euregio Cluster, PO Box 1207, 3430 BE Nieuwegein (Netherlands); Thoen, D. J. [Kavli Institute of Nanoscience, Delft University of Technology, Lorentzweg 1, 2628 CJ Delft (Netherlands); Nuij, P. J. W. M. [Eindhoven University of Technology, Control Systems Technology Group, and Applied Physics Department, PO Box 513, NL-5600 MB Eindhoven (Netherlands); Baar, M. R. de; Donne, A. J. H.; Hennen, B. A. [FOM-Institute for Plasma Physics Rijnhuizen, Association EURATOM-FOM, Trilateral Euregio Cluster, PO Box 1207, 3430 BE Nieuwegein (Netherlands); Eindhoven University of Technology, Control Systems Technology Group, and Applied Physics Department, PO Box 513, NL-5600 MB Eindhoven (Netherlands); Kantor, M. [FOM-Institute for Plasma Physics Rijnhuizen, Association EURATOM-FOM, Trilateral Euregio Cluster, PO Box 1207, 3430 BE Nieuwegein (Netherlands); Forschungszentrum Juelich GMBH, Institute of Energy and Climate research, Plasma Physics, Association EURATOM-FZJ, Trilateral Euregio Cluster, 52425 Juelich (Germany); Ioffe Institute, RAS, Saint-Petersburg, 195256 (Russian Federation)

    2011-06-15

    An intermediate frequency (IF) band digitizing radiometer system in the 100-200 GHz frequency range has been developed for Tokamak diagnostics and control, and other fields of research which require a high flexibility in frequency resolution combined with a large bandwidth and the retrieval of the full wave information of the mm-wave signals under investigation. The system is based on directly digitizing the IF band after down conversion. The enabling technology consists of a fast multi-giga sample analog to digital converter that has recently become available. Field programmable gate arrays (FPGA) are implemented to accomplish versatile real-time data analysis. A prototype system has been developed and tested and its performance has been compared with conventional electron cyclotron emission (ECE) spectrometer systems. On the TEXTOR Tokamak a proof of principle shows that ECE, together with high power injected and scattered radiation, becomes amenable to measurement by this device. In particular, its capability to measure the phase of coherent signals in the spectrum offers important advantages in diagnostics and control. One case developed in detail employs the FPGA in real-time fast Fourier transform (FFT) and additional signal processing. The major benefit of such a FFT-based system is the real-time trade-off that can be made between frequency and time resolution. For ECE diagnostics this corresponds to a flexible spatial resolution in the plasma, with potential application in smart sensing of plasma instabilities such as the neoclassical tearing mode (NTM) and sawtooth instabilities. The flexible resolution would allow for the measurement of the full mode content of plasma instabilities contained within the system bandwidth.

  20. Design of bionic eyes based on digital CNN and biological vision%基于数字CNN与生物视觉的仿生眼设计

    Institute of Scientific and Technical Information of China (English)

    陈瑞森

    2009-01-01

    在充分研究第一代视觉假体功能的基础上,利用细胞神经网络(CNN)的图像处理能力,结合生物视觉中信息加工与编码的原理,设计了一款符合第一代视觉假体功能的仿生眼电路系统.

  1. Challenges to Providing a Successful Central Configuration Service to Support CERN’s New Controls Diagnostics and Monitoring System

    CERN Document Server

    Makonnen, Z; Zaharieva, Z

    2014-01-01

    The Controls Diagnostic and Monitoring service (DIAMON) provides monitoring and diagnostics tools to the operators in the CERN Control Centre. A recent reengineering presented the opportunity to restructure its data management and to integrate it with the central Controls Configuration Service (CCS). The CCS provides the Configuration Management for the Controls System for all accelerators at CERN. The new facility had to cater for the configuration management of all agents monitored by DIAMON, (>3000 computers of different types), provide deployment information, relations between metrics, and historical information. In addition, it had to be integrated into the operational CCS, while ensuring stability and data coherency. An important design decision was to largely reuse the existing infrastructure in the CCS and adapt the DIAMON data management to it e.g. by using the device/property model through a Virtual Devices framework to model the DIAMON agents. This article will show how these challenging requiremen...

  2. Genetic algorithms for the synthesis optimization of a set of irredundant diagnostic tests in the intelligent system

    Directory of Open Access Journals (Sweden)

    Anna E. Yankovskaya

    2001-12-01

    Full Text Available Method of the synthesis optimization of a set of irredundant diagnostic tests with genetic algorithms used to solve problems of large dimension is suggested. The idea of creating the irredundant partial implication matrix sectionalized by classification mechanisms lies in the base; creating a set of irredundant diagnostic tests is based on revealing certain kinds of regularities with the use of genetic transformations. All the obligatory and non-informative features are not used in genetic transformations. Procedures of selection able-to-compete individuals from populations, decision making concerning the object under examination of each able-to-compete individual from populations, and organizing of voting on the set of these individuals are suggested. In order to solve these problems the intelligent system is used.

  3. Heating, Ventilating, and Air-Conditioning: Recent Advances in Diagnostics and Controls to Improve Air-Handling System Performance

    Energy Technology Data Exchange (ETDEWEB)

    Wray, Craig; Wray, Craig P.; Sherman, Max H.; Walker, I.S.; Dickerhoff, D.J.; Federspiel, C.C.

    2008-02-01

    The performance of air-handling systems in buildings needs to be improved. Many of the deficiencies result from myths and lore and a lack of understanding about the non-linear physical principles embedded in the associated technologies. By incorporating these principles, a few important efforts related to diagnostics and controls have already begun to solve some of the problems. This paper illustrates three novel solutions: one rapidly assesses duct leakage, the second configures ad hoc duct-static-pressure reset strategies, and the third identifies useful intermittent ventilation strategies. By highlighting these efforts, this paper seeks to stimulate new research and technology developments that could further improve air-handling systems.

  4. The importance of input variables to a neural network fault-diagnostic system for nuclear power plants

    Energy Technology Data Exchange (ETDEWEB)

    Lanc, T.L.

    1992-12-31

    This thesis explores safety enhancement for nuclear power plants. Emergency response systems currently in use depend mainly on automatic systems engaging when certain parameters go beyond a pre-specified safety limit. Often times the operator has little or no opportunity to react since a fast scram signal shuts down the reactor smoothly and efficiently. These accidents are of interest to technical support personnel since examining the conditions that gave rise to these situations help determine causality. In many other cases an automated fault-diagnostic advisor would be a valuable tool in assisting the technicians and operators to determine what just happened and why.

  5. The importance of input variables to a neural network fault-diagnostic system for nuclear power plants

    Energy Technology Data Exchange (ETDEWEB)

    Lanc, T.L.

    1992-01-01

    This thesis explores safety enhancement for nuclear power plants. Emergency response systems currently in use depend mainly on automatic systems engaging when certain parameters go beyond a pre-specified safety limit. Often times the operator has little or no opportunity to react since a fast scram signal shuts down the reactor smoothly and efficiently. These accidents are of interest to technical support personnel since examining the conditions that gave rise to these situations help determine causality. In many other cases an automated fault-diagnostic advisor would be a valuable tool in assisting the technicians and operators to determine what just happened and why.

  6. Transformation of Personal Computers and Mobile Phones into Genetic Diagnostic Systems

    Science.gov (United States)

    2014-08-31

    Supporting Information). Post-PCR Imaging. Initial characterization of the camera phone’s ( Samsung Galaxy S) fluorescent imaging capabilities was...the reach of technology in areas of need.47,48 Using two programs, one free and the other affordably priced , we are able to convert a PC into a highly...offer versatile strategies for providing molecular diagnostic capabilities to resource-limited settings in a cost-effective manner for a diverse spectrum

  7. Nanomaterials—Tools, Technology and Methodology of Nanotechnology Based Biomedical Systems for Diagnostics and Therapy

    Directory of Open Access Journals (Sweden)

    Christian Schmidt

    2015-07-01

    Full Text Available Nanomedicine helps to fight diseases at the cellular and molecular level by utilizing unique properties of quasi-atomic particles at a size scale ranging from 1 to 100 nm. Nanoparticles are used in therapeutic and diagnostic approaches, referred to as theranostics. The aim of this review is to illustrate the application of general principles of nanotechnology to select examples of life sciences, molecular medicine and bio-assays. Critical aspects relating to those examples are discussed.

  8. Development of Portable Rapid Diagnostic Microbiology Systems for Support of Primary Health Care Delivery.

    Science.gov (United States)

    1981-11-01

    should receive primary attention. In the collective opinion of the delegates to the Alma -Ata Con- ference in 1978, sponsored by the World Health...diagnostic challenge of tropical diseases as seen by an epidemiologist. Amer J Trop Med Hyg 28:171, 1979. 3. WHO (Ed): Alma -Ata 1978. Primary Health Care...World Health Organization, Geneva. p2. 4. Waddy BB: African epidemic cerebro -spinal, meningitis. J Trop Med Hyg 60:179, 19. 5. Sanborn WR: A portable

  9. A sample-to-answer, real-time convective polymerase chain reaction system for point-of-care diagnostics.

    Science.gov (United States)

    Shu, Bowen; Zhang, Chunsun; Xing, Da

    2017-11-15

    Timely and accurate molecular diagnostics at the point-of-care (POC) level is critical to global health. To this end, we propose a handheld convective-flow real-time polymerase chain reaction (PCR) system capable of direct sample-to-answer genetic analysis for the first time. Such a system mainly consists of a magnetic bead-assisted photothermolysis sample preparation, a closed-loop convective PCR reactor, and a wireless video camera-based real-time fluorescence detection. The sample preparation exploits the dual functionality of vancomycin-modified magnetic beads (VMBs) for bacteria enrichment and photothermal conversion, enabling cell pre-concentration and lysis to be finished in less than 3min. On the presented system, convective thermocycling is driven by a single-heater thermal gradient, and its amplification is monitored in real-time, with an analysis speed of less than 25min, a dynamic linear range from 10(6) to 10(1) copies/µL and a detection sensitivity of as little as 1 copies/µL. Additionally, the proposed PCR system is self-contained with a control electronics, pocket-size and battery-powered, providing a low-cost genetic analysis in a portable format. Therefore, we believe that this integrated system may become a potential candidate for fast, accurate and affordable POC molecular diagnostics. Copyright © 2017 Elsevier B.V. All rights reserved.

  10. DIAGNOSTIC CARDIAC CATHETERIZATION USING THE MEDRAD AVANTA FLUID MANAGEMENT SYSTEM AS COMPARED TO THE TRADITIONAL MANUAL INJECTION METHOD

    Energy Technology Data Exchange (ETDEWEB)

    Winniford, Michael D

    2013-02-08

    smaller diameter catheters have both been shown to reduce the volume of contrast administered. The use of smaller size catheters also permits more rapid hemostasis, thus allowing shorter ambulation time without the need for costly wound closure devices. These factors can result in enhanced patient satisfaction as well as more efficient management of post-procedure rooms. The intent of this study was to demonstrate that using the MEDRAD Avanta Fluid Management Injection System (MEDRAD, INC., Pittsburgh, PA) for coronary diagnostic procedures can produce a reduction in the volume of contrast administered without loss of operational quality or efficiency. In addition, this study will explore procedure time and efficiency in an effort to minimize the amount of ionizing radiation delivered to the patient as well as the diagnostic team members. Study Design This is a post-market study designed to collect data during diagnostic cardiac catheterization when utilizing 5FR or 6FR catheters in conjunction with the Avanta Fluid Management System or a manual manifold injection method control group. A minimum of 420 patients scheduled for diagnostic cardiac catheterization will be enrolled in the study cohort. Patients will be assigned into the following two groups. Group 1: Catheterization with 5FR or 6FR catheters, using the traditional manual manifold injection method for contrast media delivery which is defined as manual hand injection of contrast media through a 3 or 4 port manifold and left ventriculography performed via standard fixed rate power injection. Group 2: Catheterization with 5FR or 6FR catheters, using the MEDRAD Avanta system for contrast media delivery. Study endpoints include volume of contrast media administered during diagnostic cardiac catheterization, volume of contrast media wasted post-procedure, procedure time (defined as the time from first catheter insertion to last diagnostic catheter removal), fluoroscopy time and angiographic image quality. The study

  11. On-line experimental validation of a model-based diagnostic algorithm dedicated to a solid oxide fuel cell system

    Science.gov (United States)

    Polverino, Pierpaolo; Esposito, Angelo; Pianese, Cesare; Ludwig, Bastian; Iwanschitz, Boris; Mai, Andreas

    2016-02-01

    In the current energetic scenario, Solid Oxide Fuel Cells (SOFCs) exhibit appealing features which make them suitable for environmental-friendly power production, especially for stationary applications. An example is represented by micro-combined heat and power (μ-CHP) generation units based on SOFC stacks, which are able to produce electric and thermal power with high efficiency and low pollutant and greenhouse gases emissions. However, the main limitations to their diffusion into the mass market consist in high maintenance and production costs and short lifetime. To improve these aspects, the current research activity focuses on the development of robust and generalizable diagnostic techniques, aimed at detecting and isolating faults within the entire system (i.e. SOFC stack and balance of plant). Coupled with appropriate recovery strategies, diagnosis can prevent undesired system shutdowns during faulty conditions, with consequent lifetime increase and maintenance costs reduction. This paper deals with the on-line experimental validation of a model-based diagnostic algorithm applied to a pre-commercial SOFC system. The proposed algorithm exploits a Fault Signature Matrix based on a Fault Tree Analysis and improved through fault simulations. The algorithm is characterized on the considered system and it is validated by means of experimental induction of faulty states in controlled conditions.

  12. Diagnostics of materials and structures of heating system as a component of ecological management in a modern city

    Directory of Open Access Journals (Sweden)

    Verstina Natalia

    2016-01-01

    Full Text Available The maintenance of materials and structures of the underground space in modern cities which contains many engineering structures is considered in the article. It is claimed on the example of quantitative data that the underground structures exert a great influence on the ecological situation of the city. The matters of the research included the analysis of the main heating systems as the most responsible city structure; the conclusions obtained can be also used for smaller heat pipelines. The article includes the comparisons of modern technical methods of diagnostics of materials and heating systems structures according to the results of experiment, as well as the characteristic of norms of control of the materials condition at the stages of construction and maintenance applied in the developed countries. On this basis, the author has developed and presented a system of diagnostics taking into account the alternation of measures during the heating period as well as the season when heat supply is not required. For an effective ecological management in modern cities, it is suggested to create the automated data base of materials and structures of the heating systems on the basis of the developed scheme of their conditions and events, which needs to be used for forecasting of environmental risks and planning of recovery works with consideration of special features of the maintenance processes. The direction of the further research is defined: it is the expansion of the stated approaches on other types of underground communications in modern cities.

  13. Development of a dual-modal tissue diagnostic system combining time-resolved fluorescence spectroscopy and ultrasonic backscatter microscopy

    Science.gov (United States)

    Sun, Yang; Park, Jesung; Stephens, Douglas N.; Jo, Javier A.; Sun, Lei; Cannata, Jonathan M.; Saroufeem, Ramez M. G.; Shung, K. Kirk; Marcu, Laura

    2009-06-01

    We report a tissue diagnostic system which combines two complementary techniques of time-resolved laser-induced fluorescence spectroscopy (TR-LIFS) and ultrasonic backscatter microscopy (UBM). TR-LIFS evaluates the biochemical composition of tissue, while UBM provides tissue microanatomy and enables localization of the region of diagnostic interest. The TR-LIFS component consists of an optical fiber-based time-domain apparatus including a spectrometer, gated multichannel plate photomultiplier, and fast digitizer. It records the fluorescence with high sensitivity (nM concentration range) and time resolution as low as 300 ps. The UBM system consists of a transducer, pulser, receiving circuit, and positioning stage. The transducer used here is 45 MHz, unfocused, with axial and lateral resolutions 38 and 200 μm. Validation of the hybrid system and ultrasonic and spectroscopic data coregistration were conducted both in vitro (tissue phantom) and ex vivo (atherosclerotic tissue specimens of human aorta). Standard histopathological analysis of tissue samples was used to validate the UBM-TRLIFS data. Current results have demonstrated that spatially correlated UBM and TR-LIFS data provide complementary characterization of both morphology (necrotic core and calcium deposits) and biochemistry (collagen, elastin, and lipid features) of the atherosclerotic plaques at the same location. Thus, a combination of fluorescence spectroscopy with ultrasound imaging would allow for better identification of features associated with tissue pathologies. Current design and performance of the hybrid system suggests potential applications in clinical diagnosis of atherosclerotic plaque.

  14. Analysis of News Programs in CNN International Channel%CNN国际频道新闻节目浅析

    Institute of Scientific and Technical Information of China (English)

    李宇

    2005-01-01

    CNN(Cable News Network)隶属于时代华纳公司,是美国最大的有线电视新闻网。CNN的国际频道是个庞大的体系,根据服务地区的不同,提供四套不同版本的节目:欧洲版、拉丁美洲版、美国版、亚太地区版。四套节目基本框架是相同的,都包含《世界报道》、《世界商业》、《世界体育》、《世界气象》、《世界音乐》等主要栏目,但具体内容则因地区而异,充分考虑不同观众的不同需要和不同的文化背景。CNN在新闻节目编排、报道形式、选题等方面有自身的特点和优势,在当今新闻界具有一定的影响力。

  15. A comparison of the boomerang wire vascular access management system versus manual compression alone during percutaneous diagnostic and interventional cardiovascular procedures.

    Science.gov (United States)

    Echeverria, Angela; Krajcer, Zvonimir

    2016-01-01

    Vascular closure devices allow for early sheath removal, allowing for earlier patient mobilization The Boomerang vascular access management system does not alter arterial integrity for future interventions Access site complications provide significant morbidity in diagnostic and therapeutic interventions.

  16. 'MDI Wind' machine diagnostic interface. The online condition monitoring system that's not just for wind turbines; Machine Diagnostic Interface 'MDI-Wind'. Online Condition Monitoring System nicht nur fuer Windenergieanlagen

    Energy Technology Data Exchange (ETDEWEB)

    Eicke, Andreas [ThyssenKrupp System Engineering GmbH, Langenhagen (Germany). Messtechnik

    2012-07-01

    It is becoming increasingly important to be able to implement condition monitoring to protect high-grade investments such as wind turbines and other major industrial plant and installations. ThyssenKrupp System Engineering has developed a Machine Diagnostic Interface (MDI) for this purpose that is based on proven and reliable standard components in terms of the hardware used. As regards the software, the measuring and automation system used is based on mature technology, was developed in-house and has proved its worth over many years on testing and assembly lines in the automotive and supply industry. The basic concept of the Condition Monitoring System (CMS) and the essential technical elements of the MDI are introduced here. The development was funded by the German Federal Ministry of Economics and Technology (BMWi). (orig.)

  17. Evaluation of annealing and double ion beam irradiation by a laser-induced and laser-detected surface acoustic wave diagnostic system

    Science.gov (United States)

    Kitazawa, Sin-iti; Wakai, Eiichi; Aoto, Kazumi

    2016-10-01

    The effects of annealing and double ion irradiation on nuclear structural materials were investigated using a novel, non-destructive, non-contact diagnostic method. A laser-induced and laser-detected surface acoustic wave (SAW) was adopted as a diagnostic system. The SAWs propagation velocity and the SAWs vibration velocity along the normal direction of the surface were measured to investigate mechanical properties of the substrates. Change of the shear modulus was detected in the annealed substrates. Non-linear effect on amplitude of the excited SAW was observed on the double ion irradiated materials. The potential of the SAW diagnostic system for assessing nuclear structural materials was demonstrated.

  18. The impact of commercial rapid respiratory virus diagnostic tests on patient outcomes and health system utilization.

    Science.gov (United States)

    Ko, Fiona; Drews, Steven J

    2017-10-01

    Acute respiratory tract infections due to influenza A/B and respiratory syncytial virus (RSV) are major causes of morbidity and mortality globally. Rapid tests for detection of these pathogens include antigen detection point of care tests (POC) and newer easy to use molecular tests. From experience, these assays improve both laboratory workflow and assay interpretation issues. However, the question of the benefits of using rapid test technology compared to routine laboratory testing for respiratory viral pathogens is still often asked. Areas covered: Specifically, this review aims to; 1) identify clinical/patient indicators that can be measured prior to and following the implementation of rapid diagnostic test for influenza and RSV, 2) provide multiple perspectives on the extent of impact of a rapid diagnostic test, including direct and indirect outcomes, and 3) identify the technological advancements in the development of rapid testing, demonstrating a timeline that transitions from antigen-based assays to molecular assays. Expert commentary: Key benefits to the use of either antigen-based or molecular rapid tests for patient care, patient flow within institutions, as well as laboratory utilization are identified. Due to improved test characteristics, the authors feel that rapid molecular tests have greater benefits than antigen-based detection methods.

  19. Exploiting the Campylobacter jejuni protein glycosylation system for glycoengineering vaccines and diagnostic tools directed against brucellosis

    Directory of Open Access Journals (Sweden)

    Iwashkiw Jeremy A

    2012-01-01

    Full Text Available Abstract Background Immune responses directed towards surface polysaccharides conjugated to proteins are effective in preventing colonization and infection of bacterial pathogens. Presently, the production of these conjugate vaccines requires intricate synthetic chemistry for obtaining, activating, and attaching the polysaccharides to protein carriers. Glycoproteins generated by engineering bacterial glycosylation machineries have been proposed to be a viable alternative to traditional conjugation methods. Results In this work we expressed the C. jejuni oligosaccharyltansferase (OTase PglB, responsible for N-linked protein glycosylation together with a suitable acceptor protein (AcrA in Yersinia enterocolitica O9 cells. MS analysis of the acceptor protein demonstrated the transfer of a polymer of N-formylperosamine to AcrA in vivo. Because Y. enterocolitica O9 and Brucella abortus share an identical O polysaccharide structure, we explored the application of the resulting glycoprotein in vaccinology and diagnostics of brucellosis, one of the most common zoonotic diseases with over half a million new cases annually. Injection of the glycoprotein into mice generated an IgG response that recognized the O antigen of Brucella, although this response was not protective against a challenge with a virulent B. abortus strain. The recombinant glycoprotein coated onto magnetic beads was efficient in differentiating between naïve and infected bovine sera. Conclusion Bacterial engineered glycoproteins show promising applications for the development on an array of diagnostics and immunoprotective opportunities in the future.

  20. Use of hyperspectral imaging technology to develop a diagnostic support system for gastric cancer

    Science.gov (United States)

    Goto, Atsushi; Nishikawa, Jun; Kiyotoki, Shu; Nakamura, Munetaka; Nishimura, Junichi; Okamoto, Takeshi; Ogihara, Hiroyuki; Fujita, Yusuke; Hamamoto, Yoshihiko; Sakaida, Isao

    2015-01-01

    Hyperspectral imaging (HSI) is a new technology that obtains spectroscopic information and renders it in image form. This study examined the difference in the spectral reflectance (SR) of gastric tumors and normal mucosa recorded with a hyperspectral camera equipped with HSI technology and attempted to determine the specific wavelength that is useful for the diagnosis of gastric cancer. A total of 104 gastric tumors removed by endoscopic submucosal dissection from 96 patients at Yamaguchi University Hospital were recorded using a hyperspectral camera. We determined the optimal wavelength and the cut-off value for differentiating tumors from normal mucosa to establish a diagnostic algorithm. We also attempted to highlight tumors by image processing using the hyperspectral camera's analysis software. A wavelength of 770 nm and a cut-off value of 1/4 the corrected SR were selected as the respective optimal wavelength and cut-off values. The rates of sensitivity, specificity, and accuracy of the algorithm's diagnostic capability were 71%, 98%, and 85%, respectively. It was possible to enhance tumors by image processing at the 770-nm wavelength. HSI can be used to measure the SR in gastric tumors and to differentiate between tumorous and normal mucosa.