WorldWideScience

Sample records for automatic target recognizer

  1. Unification of automatic target tracking and automatic target recognition

    Science.gov (United States)

    Schachter, Bruce J.

    2014-06-01

    The subject being addressed is how an automatic target tracker (ATT) and an automatic target recognizer (ATR) can be fused together so tightly and so well that their distinctiveness becomes lost in the merger. This has historically not been the case outside of biology and a few academic papers. The biological model of ATT∪ATR arises from dynamic patterns of activity distributed across many neural circuits and structures (including retina). The information that the brain receives from the eyes is "old news" at the time that it receives it. The eyes and brain forecast a tracked object's future position, rather than relying on received retinal position. Anticipation of the next moment - building up a consistent perception - is accomplished under difficult conditions: motion (eyes, head, body, scene background, target) and processing limitations (neural noise, delays, eye jitter, distractions). Not only does the human vision system surmount these problems, but it has innate mechanisms to exploit motion in support of target detection and classification. Biological vision doesn't normally operate on snapshots. Feature extraction, detection and recognition are spatiotemporal. When vision is viewed as a spatiotemporal process, target detection, recognition, tracking, event detection and activity recognition, do not seem as distinct as they are in current ATT and ATR designs. They appear as similar mechanism taking place at varying time scales. A framework is provided for unifying ATT and ATR.

  2. Digital-Electronic/Optical Apparatus Would Recognize Targets

    Science.gov (United States)

    Scholl, Marija S.

    1994-01-01

    Proposed automatic target-recognition apparatus consists mostly of digital-electronic/optical cross-correlator that processes infrared images of targets. Infrared images of unknown targets correlated quickly with images of known targets. Apparatus incorporates some features of correlator described in "Prototype Optical Correlator for Robotic Vision System" (NPO-18451), and some of correlator described in "Compact Optical Correlator" (NPO-18473). Useful in robotic system; to recognize and track infrared-emitting, moving objects as variously shaped hot workpieces on conveyor belt.

  3. Physics of Automatic Target Recognition

    CERN Document Server

    Sadjadi, Firooz

    2007-01-01

    Physics of Automatic Target Recognition addresses the fundamental physical bases of sensing, and information extraction in the state-of-the art automatic target recognition field. It explores both passive and active multispectral sensing, polarimetric diversity, complex signature exploitation, sensor and processing adaptation, transformation of electromagnetic and acoustic waves in their interactions with targets, background clutter, transmission media, and sensing elements. The general inverse scattering, and advanced signal processing techniques and scientific evaluation methodologies being used in this multi disciplinary field will be part of this exposition. The issues of modeling of target signatures in various spectral modalities, LADAR, IR, SAR, high resolution radar, acoustic, seismic, visible, hyperspectral, in diverse geometric aspects will be addressed. The methods for signal processing and classification will cover concepts such as sensor adaptive and artificial neural networks, time reversal filt...

  4. The Automatic Measurement of Targets

    DEFF Research Database (Denmark)

    Höhle, Joachim

    1997-01-01

    The automatic measurement of targets is demonstrated by means of a theoretical example and by an interactive measuring program for real imagery from a réseau camera. The used strategy is a combination of two methods: the maximum correlation coefficient and the correlation in the subpixel range. F...... interactive software is also part of a computer-assisted learning program on digital photogrammetry....

  5. Automatic grunt detector and recognizer for Atlantic cod (Gadus morhua).

    Science.gov (United States)

    Urazghildiiev, Ildar R; Van Parijs, Sofie M

    2016-05-01

    Northwest Atlantic cod (Gadus morhua) have been heavily overfished in recent years and have not yet recovered. Passive acoustic technology offers a new approach to identify the spatial location of spawning fish, as well as their seasonal and long term persistence in an area. To date, the lack of a species-specific detector has made searching for Atlantic cod grunts in large amounts of passive acoustic data cumbersome. To address this problem, an automatic grunt detection and recognition algorithm that processes yearlong passive acoustic data recordings was designed. The proposed technique is a two-stage hypothesis testing algorithm that includes detecting and recognizing all grunt-like sounds. Test results demonstrated that the algorithm provided a detection probability of 0.93 for grunts with a signal-to-noise ratio (SNR) higher than 10 dB, and a detection probability of 0.8 for grunts with the SNR ranging from 3 to 10 dB. This detector is being used to identify cod in current and historical data from U.S. waters. Its use has significantly reduced the time required to find and validate the presence of cod grunts. PMID:27250148

  6. Automatic recognizing of vocal fold disorders from glottis images.

    Science.gov (United States)

    Huang, Chang-Chiun; Leu, Yi-Shing; Kuo, Chung-Feng Jeffrey; Chu, Wen-Lin; Chu, Yueng-Hsiang; Wu, Han-Cheng

    2014-09-01

    The laryngeal video stroboscope is an important instrument to test glottal diseases and read vocal fold images and voice quality for physician clinical diagnosis. This study is aimed to develop a medical system with functionality of automatic intelligent recognition of dynamic images. The static images of glottis opening to the largest extent and closing to the smallest extent were screened automatically using color space transformation and image preprocessing. The glottal area was also quantized. As the tongue base movements affected the position of laryngoscope and saliva would result in unclear images, this study used the gray scale adaptive entropy value to set the threshold in order to establish an elimination system. The proposed system can improve the effect of automatically captured images of glottis and achieve an accuracy rate of 96%. In addition, the glottal area and area segmentation threshold were calculated effectively. The glottis area segmentation was corrected, and the glottal area waveform pattern was drawn automatically to assist in vocal fold diagnosis. When developing the intelligent recognition system for vocal fold disorders, this study analyzed the characteristic values of four vocal fold patterns, namely, normal vocal fold, vocal fold paralysis, vocal fold polyp, and vocal fold cyst. It also used the support vector machine classifier to identify vocal fold disorders and achieved an identification accuracy rate of 98.75%. The results can serve as a very valuable reference for diagnosis. PMID:25313026

  7. Automatic target recognition apparatus and method

    Energy Technology Data Exchange (ETDEWEB)

    Baumgart, Chris W. (Santa Fe, NM); Ciarcia, Christopher A. (Los Alamos, NM)

    2000-01-01

    An automatic target recognition apparatus (10) is provided, having a video camera/digitizer (12) for producing a digitized image signal (20) representing an image containing therein objects which objects are to be recognized if they meet predefined criteria. The digitized image signal (20) is processed within a video analysis subroutine (22) residing in a computer (14) in a plurality of parallel analysis chains such that the objects are presumed to be lighter in shading than the background in the image in three of the chains and further such that the objects are presumed to be darker than the background in the other three chains. In two of the chains the objects are defined by surface texture analysis using texture filter operations. In another two of the chains the objects are defined by background subtraction operations. In yet another two of the chains the objects are defined by edge enhancement processes. In each of the analysis chains a calculation operation independently determines an error factor relating to the probability that the objects are of the type which should be recognized, and a probability calculation operation combines the results of the analysis chains.

  8. 面向纸质胸环靶的自动识别报靶系统研究%Automatic Recognization Target-reading System for Chest Silhouette of Paper

    Institute of Scientific and Technical Information of China (English)

    刘瑞香; 刘天时; 王洪伟

    2015-01-01

    为了克服在靶场射击训练中人工报靶消耗大量的人力和时间的同时还存在诸多隐患,如误报和谎报等,本文设计了一套硬件配置相对简单、性能稳定可靠、判靶精准快速的面向纸质胸环靶的自动识别报靶系统。该系统结合嵌入式技术、图像处理技术、有线以及无线网络传输技术,实现快速检测靶面信息以及弹孔坐标。在图像处理的基础上,对图像使用区域特征消除法对干扰背景进行了消除,同时采用灰度双向肖波投影确定靶心位置,提取出靶面图像的所有有效特征信息。通过嵌入式终端、wifi通信以及网络传输等完成了整个系统的搭建。本系统具有高效、快速和判靶精准等特点。%This paper proposes an automatic recognition target-scoring system for chest bitmap with simple hardware requirement, stable and reliable performance, precise and fast scoring in order to overcome the problems that the artificial counting consumes a lot of manpower, time and also there are many dangers in shooting training, such as the misinformation and the misrepresentation. Combining with the embedded technology, image processing technology, wired and wireless network transmission technology, the system implements the detecting of target surface information rapidly and the coordinates of bullet holes. The regional feature re⁃moving method is employed to eliminate background interference, and the grey two-direction clipping projection is also taken to de⁃termine bull's eye position based on the original picture processing. Finally, all characteristic information of the image is extracted effectively. The system is built through the embedded terminal, WiFi communication and network transmission. It has the charac⁃teristics of efficient, fast and good scoring precision.

  9. Automatic Recognization Target-reading System for Chest Silhouette of Paper%面向纸质胸环靶的自动识别报靶系统研究

    Institute of Scientific and Technical Information of China (English)

    刘瑞香; 刘天时; 王洪伟

    2015-01-01

    为了克服在靶场射击训练中人工报靶消耗大量的人力和时间的同时还存在诸多隐患,如误报和谎报等,本文设计了一套硬件配置相对简单、性能稳定可靠、判靶精准快速的面向纸质胸环靶的自动识别报靶系统。该系统结合嵌入式技术、图像处理技术、有线以及无线网络传输技术,实现快速检测靶面信息以及弹孔坐标。在图像处理的基础上,对图像使用区域特征消除法对干扰背景进行了消除,同时采用灰度双向肖波投影确定靶心位置,提取出靶面图像的所有有效特征信息。通过嵌入式终端、wifi通信以及网络传输等完成了整个系统的搭建。本系统具有高效、快速和判靶精准等特点。%This paper proposes an automatic recognition target-scoring system for chest bitmap with simple hardware requirement, stable and reliable performance, precise and fast scoring in order to overcome the problems that the artificial counting consumes a lot of manpower, time and also there are many dangers in shooting training, such as the misinformation and the misrepresentation. Combining with the embedded technology, image processing technology, wired and wireless network transmission technology, the system implements the detecting of target surface information rapidly and the coordinates of bullet holes. The regional feature re⁃moving method is employed to eliminate background interference, and the grey two-direction clipping projection is also taken to de⁃termine bull's eye position based on the original picture processing. Finally, all characteristic information of the image is extracted effectively. The system is built through the embedded terminal, WiFi communication and network transmission. It has the charac⁃teristics of efficient, fast and good scoring precision.

  10. Self-assessing target with automatic feedback

    Science.gov (United States)

    Larkin, Stephen W.; Kramer, Robert L.

    2004-03-02

    A self assessing target with four quadrants and a method of use thereof. Each quadrant containing possible causes for why shots are going into that particular quadrant rather than the center mass of the target. Each possible cause is followed by a solution intended to help the marksman correct the problem causing the marksman to shoot in that particular area. In addition, the self assessing target contains possible causes for general shooting errors and solutions to the causes of the general shooting error. The automatic feedback with instant suggestions and corrections enables the shooter to improve their marksmanship.

  11. Automatic target tracking in FLIR image sequences

    Science.gov (United States)

    Bal, Abdullah; Alam, Mohammad S.

    2004-09-01

    Moving target tracking is a challenging task and is increasingly becoming important for various applications. In this paper, we have presented target detection and tracking algorithm based on target intensity feature relative to surrounding background, and shape information of target. Proposed automatic target tracking algorithm includes two techniques: intensity variation function (IVF) and template modeling (TM). The intensity variation function is formulated by using target intensity feature while template modeling is based on target shape information. The IVF technique produces the maximum peak value whereas the reference target intensity variation is similar to the candidate target intensity variation. When IVF technique fails, due to background clutter, non-target object or other artifacts, the second technique, template modeling, is triggered by control module. By evaluating the outputs from the IVF and TM techniques, the tracker determines the real coordinates of the target. Performance of the proposed ATT is tested using real life forward-looking infrared (FLIR) image sequences taken from an airborne, moving platform.

  12. Robust automatic target recognition in FLIR imagery

    Science.gov (United States)

    Soyman, Yusuf

    2012-05-01

    In this paper, a robust automatic target recognition algorithm in FLIR imagery is proposed. Target is first segmented out from the background using wavelet transform. Segmentation process is accomplished by parametric Gabor wavelet transformation. Invariant features that belong to the target, which is segmented out from the background, are then extracted via moments. Higher-order moments, while providing better quality for identifying the image, are more sensitive to noise. A trade-off study is then performed on a few moments that provide effective performance. Bayes method is used for classification, using Mahalanobis distance as the Bayes' classifier. Results are assessed based on false alarm rates. The proposed method is shown to be robust against rotations, translations and scale effects. Moreover, it is shown to effectively perform under low-contrast objects in FLIR images. Performance comparisons are also performed on both GPU and CPU. Results indicate that GPU has superior performance over CPU.

  13. Research on Automatic Target Tracking Based on PTZ System

    Directory of Open Access Journals (Sweden)

    Ni Zhang

    2012-11-01

    Full Text Available This paper studies an algorithm of automatic target tracking based on PTZ system. Select the tracking target and set up the target motion trajectory in the video screen. Along the motion trajectory, the system controls the PTZ rotation automatically to track the target real-timely. At the same time, it adjusts the zoom to enlarge or reduce to make sure the target can display on the video screen center clearly at the suitable size. By testing on groups of video, verify the effectiveness of the automatic target tracking algorithm.

  14. Automatic target extraction in complicated background for camera calibration

    Science.gov (United States)

    Guo, Xichao; Wang, Cheng; Wen, Chenglu; Cheng, Ming

    2016-03-01

    In order to perform high precise calibration of camera in complex background, a novel design of planar composite target and the corresponding automatic extraction algorithm are presented. Unlike other commonly used target designs, the proposed target contains the information of feature point coordinate and feature point serial number simultaneously. Then based on the original target, templates are prepared by three geometric transformations and used as the input of template matching based on shape context. Finally, parity check and region growing methods are used to extract the target as final result. The experimental results show that the proposed method for automatic extraction and recognition of the proposed target is effective, accurate and reliable.

  15. Automatic speech recognizer based on the Spanish spoken in Valdivia, Chile

    Science.gov (United States)

    Sanchez, Maria L.; Poblete, Victor H.; Sommerhoff, Jorge

    2001-05-01

    The performance of an automatic speech recognizer is affected by training process (dependent on or independent of the speaker) and the size of the vocabulary. The language used in this study was the Spanish spoken in the city of Valdivia, Chile. A representative sample of 14 students and six professionals all natives of Valdivia (ten women and ten men) were used to complete the study. The sample ranged in age between 20 and 30 years old. Two systems were programmed based on the classical principles: digitalizing, end point detection, linear prediction coding, cepstral coefficients, dynamic time warping, and a final decision stage with a previous step of training: (i) one dependent speaker (15 words: five colors and ten numbers), (ii) one independent speaker (30 words: ten verbs, ten nouns, and ten adjectives). A simple didactical application, with options to choose colors, numbers and drawings of the verbs, nouns and adjectives, was designed to be used with a personal computer. In both programs, the tests carried out showed a tendency towards errors in short words with monosyllables like ``flor,'' and ``sol.'' The best results were obtained in words with three syllables like ``disparar'' and ``mojado.'' [Work supported by Proyecto DID UACh N S-200278.

  16. Automatic targeting of plasma spray gun

    International Nuclear Information System (INIS)

    A means for monitoring the material portion in the flame of a plasma spray gun during spraying operations is described. A collimated detector, sensitive to certain wavelengths of light emission, is used to locate the centroid of the material with each pass of the gun. The response from the detector is then relayed to the gun controller to be used to automatically realign the gun

  17. Automatic targeting of plasma spray gun

    Science.gov (United States)

    Abbatiello, Leonard A.; Neal, Richard E.

    1978-01-01

    A means for monitoring the material portion in the flame of a plasma spray gun during spraying operations is provided. A collimated detector, sensitive to certain wavelengths of light emission, is used to locate the centroid of the material with each pass of the gun. The response from the detector is then relayed to the gun controller to be used to automatically realign the gun.

  18. Automatic target validation based on neuroscientific literature mining for tractography

    OpenAIRE

    Xavier Vasques; Renaud Richardet; Etienne Pralong; LAURA CIF

    2015-01-01

    Target identification for tractography studies requires solid anatomical knowledge validated by an extensive literature review across species for each seed structure to be studied. Manual literature review to identify targets for a given seed region is tedious and potentially subjective. Therefore, complementary approaches would be useful. We propose to use text-mining models to automatically suggest potential targets from the neuroscientific literature, full-text articles and abstracts, so t...

  19. Automatic Target Detection by Optimal Morphological Filters

    Institute of Scientific and Technical Information of China (English)

    YU Nong(余农); WU Hao(吴昊); WU ChangYong(吴常泳); LI YuShu(李予蜀)

    2003-01-01

    It is widely accepted that the design of morphological filters, which are optimal in some sense, is a difficult task. In this paper a novel method for optimal learning of morphological filtering parameters (Genetic training algorithm for morphological filters, GTAMF) is presented.GTAMF adopts new crossover and mutation operators called the curved cylinder crossover and master-slave mutation to achieve optimal filtering parameters in a global searching. Experimental results show that this method is practical, easy to extend, and markedly improves the performances of morphological filters. The operation of a morphological filter can be divided into two basic problems including morphological operation and structuring element (SE) selection. The rules for morphological operations are predefined so that the filter's properties depend merely on the selection of SE. By means of adaptive optimization training, structuring elements possess the shape and structural characteristics of image targets, and give specific information to SE. Morphological filters formed in this way become certainly intelligent and can provide good filtering results and robust adaptability to image targets with clutter background.

  20. High Range Resolution Profile Automatic Target Recognition Using Sparse Representation

    Institute of Scientific and Technical Information of China (English)

    Zhou Nuo; Chen Wei

    2010-01-01

    Sparse representation is a new signal analysis method which is receiving increasing attention in recent years.In this article,a novel scheme solving high range resolution profile automatic target recognition for ground moving targets is proposed.The sparse representation theory is applied to analyzing the components of high range resolution profiles and sparse coefficients are used to describe their features.Numerous experiments with the target type number ranging from 2 to 6 have been implemented.Results show that the proposed scheme not only provides higher recognition preciseness in real time,but also achieves more robust performance as the target type number increases.

  1. Radar automatic target recognition (ATR) and non-cooperative target recognition (NCTR)

    CERN Document Server

    Blacknell, David

    2013-01-01

    The ability to detect and locate targets by day or night, over wide areas, regardless of weather conditions has long made radar a key sensor in many military and civil applications. However, the ability to automatically and reliably distinguish different targets represents a difficult challenge. Radar Automatic Target Recognition (ATR) and Non-Cooperative Target Recognition (NCTR) captures material presented in the NATO SET-172 lecture series to provide an overview of the state-of-the-art and continuing challenges of radar target recognition. Topics covered include the problem as applied to th

  2. Advanced automatic target recognition for police helicopter missions

    Science.gov (United States)

    Stahl, Christoph; Schoppmann, Paul

    2000-08-01

    The results of a case study about the application of an advanced method for automatic target recognition to infrared imagery taken from police helicopter missions are presented. The method consists of the following steps: preprocessing, classification, fusion, postprocessing and tracking, and combines the three paradigms image pyramids, neural networks and bayesian nets. The technology has been developed using a variety of different scenes typical for military aircraft missions. Infrared cameras have been in use for several years at the Bavarian police helicopter forces and are highly valuable for night missions. Several object classes like 'persons' or 'vehicles' are tested and the possible discrimination between persons and animals is shown. The analysis of complex scenes with hidden objects and clutter shows the potentials and limitations of automatic target recognition for real-world tasks. Several display concepts illustrate the achievable improvement of the situation awareness. The similarities and differences between various mission types concerning object variability, time constraints, consequences of false alarms, etc. are discussed. Typical police actions like searching for missing persons or runaway criminals illustrate the advantages of automatic target recognition. The results demonstrate the possible operational benefits for the helicopter crew. Future work will include performance evaluation issues and a system integration concept for the target platform.

  3. Automatic radar target recognition of objects falling on railway tracks

    International Nuclear Information System (INIS)

    This paper presents an automatic radar target recognition procedure based on complex resonances using the signals provided by ultra-wideband radar. This procedure is dedicated to detection and identification of objects lying on railway tracks. For an efficient complex resonance extraction, a comparison between several pole extraction methods is illustrated. Therefore, preprocessing methods are presented aiming to remove most of the erroneous poles interfering with the discrimination scheme. Once physical poles are determined, a specific discrimination technique is introduced based on the Euclidean distances. Both simulation and experimental results are depicted showing an efficient discrimination of different targets including guided transport passengers

  4. Information fusion based on addition of unascertained rational numbers for recognization of spatial point targets

    Institute of Scientific and Technical Information of China (English)

    张池平; 宋向勃; 崔祜涛

    2003-01-01

    A new uncertain information model, i.e. unascertainment, which is different from randomness,fuzziness and grayness, has been introduced into information fusion to give a reasoning method,which is basedon addition of unascertained rational number and can be used to recognize spatial point targets. The validity ofthe method proposed is verified through an example.

  5. Automatic target validation based on neuroscientific literature mining for tractography

    Directory of Open Access Journals (Sweden)

    Xavier Vasques

    2015-05-01

    Full Text Available Target identification for tractography studies requires solid anatomical knowledge validated by an extensive literature review across species for each seed structure to be studied. Manual literature review to identify targets for a given seed region is tedious and potentially subjective. Therefore, complementary approaches would be useful. We propose to use text-mining models to automatically suggest potential targets from the neuroscientific literature, full-text articles and abstracts, so that they can be used for anatomical connection studies and more specifically for tractography. We applied text-mining models to three structures: two well studied structures, since validated deep brain stimulation targets, the internal globus pallidus and the subthalamic nucleus and, the nucleus accumbens, an exploratory target for treating psychiatric disorders. We performed a systematic review of the literature to document the projections of the three selected structures and compared it with the targets proposed by text-mining models, both in rat and primate (including human. We ran probabilistic tractography on the nucleus accumbens and compared the output with the results of the text-mining models and literature review. Overall, text-mining the literature could find three times as many targets as two man-weeks of curation could. The overall efficiency of the text-mining against literature review in our study was 98% recall (at 36% precision, meaning that over all the targets for the three selected seeds, only one target has been missed by text-mining. We demonstrate that connectivity for a structure of interest can be extracted from a very large amount of publications and abstracts. We believe this tool will be useful in helping the neuroscience community to facilitate connectivity studies of particular brain regions. The text mining tools used for the study are part of the HBP Neuroinformatics Platform, publicly available at http://connectivity-brainer.rhcloud.com/.

  6. Recognizing cat-eye targets with dual criterions of shape and modulation frequency

    Institute of Scientific and Technical Information of China (English)

    Ximing Ren; Li Li

    2011-01-01

    We present an image recognition method to distinguish targets with cat-eye effect from the dynamic background based on target shape and modulation frequency. Original image sequences to be processed are acquired through an imaging mechanism that utilizes a pulsed laser as active illuminator and an industrial camera as detection device. There are two criterions to recognize a target: one exploits shape priors and the other is the active illuminator's modulation frequency. The feasibility of the proposed method and its superiority over the single criterion method have been demonstrated by practical experiments.%@@ We present an image recognition method to distinguish targets with cat-eye effect from the dynamic background based on target 8hape and modulation frequency.Original image sequences to be processed are acquired through an imaging mechanism that utilizes a pulsed laser as active illuminator and an industrialcamera as detection device.There are two criterions to recognize a target: one exploits shape prior8 and the other is the active illuminator's modulation frequency.The feasibility of the proposed method and its superiority over the single criterion method have been demonstrated by practical experiments.

  7. Automatic detection of sea-sky horizon line and small targets in maritime infrared imagery

    Science.gov (United States)

    Kong, Xiangyu; Liu, Lei; Qian, Yunsheng; Cui, Minjie

    2016-05-01

    It is usually difficult but important to extract distant targets from sea clutters and clouds since the targets are small compared to the pixel field of view. In this paper, an algorithm based on wavelet transformation is proposed for automatic detection of small targets under the maritime background. We recognize that the distant small targets generally appear near the sea-sky horizon line and noises lie along the direction of sea-sky horizon line. So the sea-sky horizon is located firstly by examining the approximate image of a Haar wavelet decomposition of the original image. And the equation of the sea-sky horizon is set up, no matter whether the sea-sky horizon is horizontal or not. Since the sea-sky horizon is located, not only the potential area but also the strip direction of noise is got. Then the modified mutual wavelet energy combination algorithm is applied to extract targets with targets being marked by red windows. Computer simulations are shown to validate the great adaptability of the sea-sky horizon line detection and the accuracy of the small targets detection. The algorithm should be useful to engineers and scientists to design precise guidance or maritime monitoring system.

  8. Deep transfer learning for automatic target classification: MWIR to LWIR

    Science.gov (United States)

    Ding, Zhengming; Nasrabadi, Nasser; Fu, Yun

    2016-05-01

    Publisher's Note: This paper, originally published on 5/12/2016, was replaced with a corrected/revised version on 5/18/2016. If you downloaded the original PDF but are unable to access the revision, please contact SPIE Digital Library Customer Service for assistance. When dealing with sparse or no labeled data in the target domain, transfer learning shows its appealing performance by borrowing the supervised knowledge from external domains. Recently deep structure learning has been exploited in transfer learning due to its attractive power in extracting effective knowledge through multi-layer strategy, so that deep transfer learning is promising to address the cross-domain mismatch. In general, cross-domain disparity can be resulted from the difference between source and target distributions or different modalities, e.g., Midwave IR (MWIR) and Longwave IR (LWIR). In this paper, we propose a Weighted Deep Transfer Learning framework for automatic target classification through a task-driven fashion. Specifically, deep features and classifier parameters are obtained simultaneously for optimal classification performance. In this way, the proposed deep structures can extract more effective features with the guidance of the classifier performance; on the other hand, the classifier performance is further improved since it is optimized on more discriminative features. Furthermore, we build a weighted scheme to couple source and target output by assigning pseudo labels to target data, therefore we can transfer knowledge from source (i.e., MWIR) to target (i.e., LWIR). Experimental results on real databases demonstrate the superiority of the proposed algorithm by comparing with others.

  9. Recognizing subsurface target responses in ground penetrating radar data using convolutional neural networks

    Science.gov (United States)

    Sakaguchi, Rayn T.; Morton, Kenneth D.; Collins, Leslie M.; Torrione, Peter A.

    2015-05-01

    Improved performance in the discrimination of buried threats using Ground Penetrating Radar (GPR) data has recently been achieved using features developed for applications in computer vision. These features, designed to characterize local shape information in images, have been utilized to recognize patches that contain a target signature in two-dimensional slices of GPR data. While these adapted features perform very well in this GPR application, they were not designed to specifically differentiate between target responses and background GPR data. One option for developing a feature specifically designed for target differentiation is to manually design a feature extractor based on the physics of GPR image formation. However, as seen in the historical progression of computer vision features, this is not a trivial task. Instead, this research evaluates the use of convolutional neural networks (CNNs) applied to two-dimensional GPR data. The benefit of using a CNN is that features extracted from the data are a learned parameter of the system. This has allowed CNN implementations to achieve state of the art performance across a variety of data types, including visual images, without the need for expert designed features. However, the implementation of a CNN must be done carefully for each application as network parameters can cause performance to vary widely. This paper presents results from using CNNs for object detection in GPR data and discusses proper parameter settings and other considerations.

  10. Localization accuracy from automatic and semi-automatic rigid registration of locally-advanced lung cancer targets during image-guided radiation therapy

    OpenAIRE

    Robertson, Scott P.; Weiss, Elisabeth; Hugo, Geoffrey D.

    2011-01-01

    Purpose: To evaluate localization accuracy resulting from rigid registration of locally-advanced lung cancer targets using fully automatic and semi-automatic protocols for image-guided radiation therapy.

  11. The benefit obtained from visually displayed text from an automatic speech recognizer during listening to speech presented in noise

    NARCIS (Netherlands)

    Zekveld, A.A.; Kramer, S.E.; Kessens, J.M.; Vlaming, M.S.M.G.; Houtgast, T.

    2008-01-01

    OBJECTIVES: The aim of this study was to evaluate the benefit that listeners obtain from visually presented output from an automatic speech recognition (ASR) system during listening to speech in noise. DESIGN: Auditory-alone and audiovisual speech reception thresholds (SRTs) were measured. The SRT i

  12. Gaussian process classification using automatic relevance determination for SAR target recognition

    Science.gov (United States)

    Zhang, Xiangrong; Gou, Limin; Hou, Biao; Jiao, Licheng

    2010-10-01

    In this paper, a Synthetic Aperture Radar Automatic Target Recognition approach based on Gaussian process (GP) classification is proposed. It adopts kernel principal component analysis to extract sample features and implements target recognition by using GP classification with automatic relevance determination (ARD) function. Compared with k-Nearest Neighbor, Naïve Bayes classifier and Support Vector Machine, GP with ARD has the advantage of automatic model selection and hyper-parameter optimization. The experiments on UCI datasets and MSTAR database show that our algorithm is self-tuning and has better recognition accuracy as well.

  13. Automatic Attraction of Visual Attention by Supraletter Features of Former Target Strings

    DEFF Research Database (Denmark)

    Kyllingsbæk, Søren; Van Lommel, Sven; Sørensen, Thomas Alrik;

    2014-01-01

    Observers were trained to search for a particular horizontal string of 3 capital letters presented among similar strings consisting of exactly the same letters in different orders. The training was followed by a test in which the observers searched for a new target that was identical to one of the...... circumference of an imaginary circle around the fixation point. The training phase of Experiment 2 was similar, but in the test phase of the experiment, the strings were located in a vertical array centered on fixation, and in target-present arrays, the target always appeared at fixation. In both experiments......, performance (d’) degraded on trials in which former targets were present, suggesting that the former targets automatically drew processing resources away from the current targets. Apparently, the two experiments showed automatic attraction of visual attention by supraletter features of former target strings....

  14. Automatic target recognition of moving target based on empirical mode decomposition and genetic algorithm support vector machine

    Institute of Scientific and Technical Information of China (English)

    张军; 欧建平; 占荣辉

    2015-01-01

    In order to improve measurement accuracy of moving target signals, an automatic target recognition model of moving target signals was established based on empirical mode decomposition (EMD) and support vector machine (SVM). Automatic target recognition process on the nonlinear and non-stationary of Doppler signals of military target by using automatic target recognition model can be expressed as follows. Firstly, the nonlinearity and non-stationary of Doppler signals were decomposed into a set of intrinsic mode functions (IMFs) using EMD. After the Hilbert transform of IMF, the energy ratio of each IMF to the total IMFs can be extracted as the features of military target. Then, the SVM was trained through using the energy ratio to classify the military targets, and genetic algorithm (GA) was used to optimize SVM parameters in the solution space. The experimental results show that this algorithm can achieve the recognition accuracies of 86.15%, 87.93%, and 82.28%for tank, vehicle and soldier, respectively.

  15. Automatic Detection and Decoding of Photogrammetric Coded Targets

    OpenAIRE

    Wijenayake, Udaya; Choi, Sung-In; Park, Soon-Yong

    2016-01-01

    Close-range Photogrammetry is widely used in many industries because of the cost effectiveness and efficiency of the technique. In this research, we introduce an automated coded target detection method which can be used to enhance the efficiency of the Photogrammetry.

  16. Automatic target recognition in SAR images using multilinear analysis

    OpenAIRE

    Porgès, Tristan; Favier, Gérard

    2011-01-01

    International audience Multilinear analysis provides a powerful mathematical framework for analyzing synthetic aperture radar (SAR) images resulting from the interaction of multiple factors like sky luminosity and viewing angles, while preserving their original shape. In this paper, we propose a multilinear principal component analysis (MPCA) algorithm for target recognition in SAR images. First, we form a high order tensor with the training image set and we apply the higher-order singular...

  17. System for automatic x-ray-image analysis, measurement, and sorting of laser fusion targets

    International Nuclear Information System (INIS)

    This paper describes the Automatic X-Ray Image Analysis and Sorting (AXIAS) system which is designed to analyze and measure x-ray images of opaque hollow microspheres used as laser fusion targets. The x-ray images are first recorded on a high resolution film plate. The AXIAS system then digitizes and processes the images to accurately measure the target parameters and defects. The primary goals of the AXIAS system are: to provide extremely accurate and rapid measurements, to engineer a practical system for a routine production environment and to furnish the capability of automatically measuring an array of images for sorting and selection

  18. Automatic target recognition in synthetic aperture sonar images for autonomous mine hunting

    NARCIS (Netherlands)

    Quesson, B.A.J.; Sabel, J.C.; Bouma, H.; Dekker, R.J.; Lengrand-Lambert, J.

    2010-01-01

    The future of Mine Countermeasures (MCM) operations lies with unmanned platforms where Automatic Target Recognition (ATR) is an essential step in making the mine hunting process autonomous. At TNO, a new ATR method is currently being developed for use on an Autonomous Underwater Vehicle (AUV), using

  19. An integrated approach toward recognizing, locating and combating targets from a modern interceptor aircraft

    Science.gov (United States)

    Meyhoff, E. G.; Kloeckner, H. W.

    1985-08-01

    Interceptor aircraft of the future will find themselves in an environment which will not only be significantly more hostile than today but also far more difficult to assess. On the one hand the requirement will be to reduce the detectability of the own aircraft and on the other to enhance the capability of destroying enemy targets. Reduction of detectability can be achieved through a variety of measures such as lowering the radar cross section, the IR emission or the RF emission. Enhancement of the capability to destroy enemy target requires, next to better weapons, longer detection and identification ranges as well as quicker reaction times. Faster reaction times are not only required to gain advantages in combating the designated enemy targets but also to respond to threat situations which may emanate from sources other than the targets. The requirement will exist for an avionic system capable of correlating all relevant data and either reaching decisions itself or presenting the pilot with information in such a way that they support his own making process. This paper describes a typical set of aircraft equipments which would be involved in the data acquisition and decision making processes; it quantifies data volumes and rates and, based on these figures, attempts to define processing and correlation requirements. It then proposes a system architecture which might be suitable for the tasks at hand. The emphasis of the paper will be on assessing the impact of LSI/VHSIC technology on those portions of the avionics system which are utilized in the processes described above.

  20. Automatic target recognition on land using three dimensional (3D laser radar and artificial neural networks

    Directory of Open Access Journals (Sweden)

    Göztepe, K.

    2013-05-01

    Full Text Available During combat, measuring the dimensions of targets is extremely important for knowing when to fire on the enemy. The importance of identifying a known target on land emphasizes the importance of techniques devoted to automatic target recognition. Although a number of object-recognition techniques have been developed in the past, none of them have provided the desired specifics for unidentified target recognition. Studies on target recognition are largely based on images that assume that images of a known target can be readily viewed under any circumstance. But this is not true for military operations conducted on various terrains under specific circumstances. Usually it is not possible to capture images of unidentified objects because of weather, inadequate equipment, or concealment. In this study, a new approach that integrates neural networks and laser radar has been developed for automatic target recognition in order to reduce the above-mentioned problems. Unlike current studies, the proposed model uses the geometric dimensions of unidentified targets in order to detect and recognise them under severe weather conditions.

  1. Linking Single Domain Antibodies that Recognize Different Epitopes on the Same Target.

    Science.gov (United States)

    Glaven, Richard H; Anderson, George P; Zabetakis, Dan; Liu, Jinny L; Long, Nina C; Goldman, Ellen R

    2012-01-01

    Single domain antibodies (sdAb) are the recombinantly expressed variable regions from the heavy-chain-only antibodies found in camelids and sharks. SdAb are able to bind antigens with high affinity, and most are capable of refolding after heat or chemical denaturation to bind antigen again. Starting with our previously isolated ricin binding sdAb determined to bind to four non-overlapping epitopes, we constructed a series of sdAb pairs, which were genetically linked through peptides of different length. We designed the series so that the sdAb are linked in both orientations with respect to the joining peptide. We confirmed that each of the sdAb in the constructs was able to bind to the ricin target, and have evidence that they are both binding ricin simultaneously. Through this work we determined that the order of genetically linked sdAb seems more important than the linker length. The genetically linked sdAb allowed for improved ricin detection with better limits of detection than the best anti-ricin monoclonal we evaluated, however they were not able to refold as well as unlinked component sdAb. PMID:25585631

  2. Pseudo-Zernike Based Multi-Pass Automatic Target Recognition From Multi-Channel SAR

    OpenAIRE

    Carmine CLEMENTE; Pallotta, Luca; Proudler, Ian; De Maio, Antonio; John J. Soraghan; Farina, Alfonso

    2014-01-01

    The capability to exploit multiple sources of information is of fundamental importance in a battlefield scenario. Information obtained from different sources, and separated in space and time, provide the opportunity to exploit diversities in order to mitigate uncertainty. For the specific challenge of Automatic Target Recognition (ATR) from radar platforms, both channel (e.g. polarization) and spatial diversity can provide useful information for such a specific and critical task. In this pape...

  3. Automatic target recognition performance losses in the presence of atmospheric and camera effects

    Science.gov (United States)

    Chen, Xiaohan; Schmid, Natalia A.

    2010-04-01

    The importance of networked automatic target recognition systems for surveillance applications is continuously increasing. Because of the requirement of a low cost and limited payload, these networks are traditionally equipped with lightweight, low-cost sensors such as electro-optical (EO) or infrared sensors. The quality of imagery acquired by these sensors critically depends on the environmental conditions, type and characteristics of sensors, and absence of occluding or concealing objects. In the past, a large number of efficient detection, tracking, and recognition algorithms have been designed to operate on imagery of good quality. However, detection and recognition limits under nonideal environmental and/or sensor-based distortions have not been carefully evaluated. We introduce a fully automatic target recognition system that involves a Haar-based detector to select potential regions of interest within images, performs adjustment of detected regions, segments potential targets using a region-based approach, identifies targets using Bessel K form-based encoding, and performs clutter rejection. We investigate the effects of environmental and camera conditions on target detection and recognition performance. Two databases are involved. One is a simulated database generated using a 3-D tool. The other database is formed by imaging 10 die-cast models of military vehicles from different elevation and orientation angles. The database contains imagery acquired both indoors and outdoors. The indoors data set is composed of clear and distorted images. The distortions include defocus blur, sided illumination, low contrast, shadows, and occlusions. All images in this database, however, have a uniform (blue) background. The indoors database is applied to evaluate the degradations of recognition performance due to camera and illumination effects. The database collected outdoors includes a real background and is much more complex to process. The numerical results

  4. Morphological self-organizing feature map neural network with applications to automatic target recognition

    Institute of Scientific and Technical Information of China (English)

    Shijun Zhang; Zhongliang Jing; Jianxun Li

    2005-01-01

    @@ The rotation invariant feature of the target is obtained using the multi-direction feature extraction property of the steerable filter. Combining the morphological operation top-hat transform with the self-organizing feature map neural network, the adaptive topological region is selected. Using the erosion operation, the topological region shrinkage is achieved. The steerable filter based morphological self-organizing feature map neural network is applied to automatic target recognition of binary standard patterns and realworld infrared sequence images. Compared with Hamming network and morphological shared-weight networks respectively, the higher recognition correct rate, robust adaptability, quick training, and better generalization of the proposed method are achieved.

  5. MAXIMUM A POSTERIORI-BASED AUTOMATIC TARGET DETECTION IN SAR IMAGES

    Institute of Scientific and Technical Information of China (English)

    Wang Yimin; An Jinwen

    2005-01-01

    The paper presents an algorithm of automatic target detection in Synthetic Aperture Radar(SAR) images based on Maximum A Posteriori(MAP). The algorithm is divided into three steps. First, it employs Gaussian mixture distribution to approximate and estimate multi-modal histogram of SAR image. Then, based on the principle of MAP, when a priori probability is both unknown and learned respectively, the sample pixels are classified into different classes c = {target,shadow, background}. Last, it compares the results of two different target detections. Simulation results preferably indicate that the presented algorithm is fast and robust, with the learned a priori probability, an approach to target detection is reliable and promising.

  6. Study of an automatized experimental device for the irradiation of a radioactive target

    International Nuclear Information System (INIS)

    In order to solve the enigma of solar neutrinos, a team of physicians of the nuclear research center of Bordeaux-Gradignan and of the center of nuclear spectroscopy and mass spectroscopy of Orsay (France) decided to measure again the cross section of the beryllium-proton nuclear reaction at the lowest possible energies. This measurement requires the design of an automatized experimental device to irradiate in a specific way a beryllium target with an accelerated proton beam. The aim of this work is the study of such a device for an energy range of 800 to 300 KeV. This device comprises a particle multi-detector and a shutter for the irradiation of the target and the counting of the reaction products according to a programmable time sequence. The advantage of this setup is to allow an important bombardment of the target and to ensure its cooling. This device is automatically controlled thanks to a micro-controller, actuators (step motors and electrostatic deflector). It includes some beam diagnosis elements controlled by step motors and a target temperature monitoring system controlling a safety valve. The management of the experiment cell vacuum has led to the design of a vacuum monitor allowing the precise follow up of the vacuum and the control of the safety valves of the device. The nuclear instrumentation necessary to be implemented for this measurement is also presented. (J.S.)

  7. Automatic geolocation of targets tracked by aerial imaging platforms using satellite imagery

    Science.gov (United States)

    Shukla, P. K.; Goel, S.; Singh, P.; Lohani, B.

    2014-11-01

    Tracking of targets from aerial platforms is an important activity in several applications, especially surveillance. Knowled ge of geolocation of these targets adds additional significant and useful information to the application. This paper determines the geolocation of a target being tracked from an aerial platform using the technique of image registration. Current approaches utilize a POS to determine the location of the aerial platform and then use the same for geolocation of the targets using the principle of photogrammetry. The constraints of cost and low-payload restrict the applicability of this approach using UAV platforms. This paper proposes a methodology for determining the geolocation of a target tracked from an aerial platform in a partially GPS devoid environment. The method utilises automatic feature based registration technique of a georeferenced satellite image with an ae rial image which is already stored in UAV's database to retrieve the geolocation of the target. Since it is easier to register subsequent aerial images due to similar viewing parameters, the subsequent overlapping images are registered together sequentially thus resulting in the registration of each of the images with georeferenced satellite image thus leading to geolocation of the target under interest. Using the proposed approach, the target can be tracked in all the frames in which it is visible. The proposed concept is verified experimentally and the results are found satisfactory. Using the proposed method, a user can obtain location of target of interest as well features on ground without requiring any POS on-board the aerial platform. The proposed approach has applications in surveillance for target tracking, target geolocation as well as in disaster management projects like search and rescue operations.

  8. Analgorithmic Framework for Automatic Detection and Tracking Moving Point Targets in IR Image Sequences

    Directory of Open Access Journals (Sweden)

    R. Anand Raji

    2015-05-01

    Full Text Available Imaging sensors operating in infrared (IR region of electromagnetic spectrum are gaining importance in airborne automatic target recognition (ATR applications due to their passive nature of operation. IR imaging sensors exploit the unintended IR radiation emitted by the targets of interest for detection. The ATR systems based on the passive IR imaging sensors employ a set of signal processing algorithms for processing the image information in real-time. The real-time execution of signal processing algorithms provides the sufficient reaction time to the platform carrying ATR system to react upon the target of interest. These set of algorithms include detection, tracking, and classification of low-contrast, small sized-targets. Paper explained a signal processing framework developed to detect and track moving point targets from the acquired IR image sequences in real-time.Defence Science Journal, Vol. 65, No. 3, May 2015, pp.208-213, DOI: http://dx.doi.org/10.14429/dsj.65.8164

  9. Automatic determination of the number of targets present when using the time reversal operator.

    Science.gov (United States)

    Quinlan, Angela; Barbot, Jean-Pierre; Larzabal, Pascal

    2006-04-01

    Acoustical time reversal mirrors have been shown to provide a highly accurate means of studying and focusing on acoustical sources. The DORT method is a derivation of the time reversal process, which allows for focusing on multiple targets. An important step in this process is the determination of the number of targets or sources present. This is achieved by examining the eigenvalues of the time reversal operator (TRO). The number of significant eigenvalues is then chosen as the number of sources present. However, as mentioned in [N. Mordant, C. Prada, and M. Fink, J. Acoust. Soc. Am. 105, 2634-2642 (1999) and C. Prada, M. Tanter, and M. Fink, in Proceedings of the IEEE Symposium, 1997, pp. 679-683], factors such as low signal to noise ratio (SNR), small data sample, array configuration and the target location may result in the eigenvalues corresponding to the targets no longer being distinguishable from the background noise eigenvalues. This paper proposes a robust method of automatically determining the number of targets even in the presence of a small number of snapshots. For white Gaussian noise, the profile of the ordered eigenvalues is seen to fit an exponential law. The observed eigenvalues are then compared to this model and a mismatch is detected between the observed profile and the noise-only model. The index of the mismatch gives the number of scatterers present. PMID:16642836

  10. Atlas-based automatic segmentation of head and neck organs at risk and nodal target volumes: a clinical validation

    OpenAIRE

    Daisne, Jean-François; Blumhofer, Andreas

    2013-01-01

    Background Intensity modulated radiotherapy for head and neck cancer necessitates accurate definition of organs at risk (OAR) and clinical target volumes (CTV). This crucial step is time consuming and prone to inter- and intra-observer variations. Automatic segmentation by atlas deformable registration may help to reduce time and variations. We aim to test a new commercial atlas algorithm for automatic segmentation of OAR and CTV in both ideal and clinical conditions. Methods The updated Brai...

  11. Dynamic Data Driven Applications Systems (DDDAS) modeling for automatic target recognition

    Science.gov (United States)

    Blasch, Erik; Seetharaman, Guna; Darema, Frederica

    2013-05-01

    The Dynamic Data Driven Applications System (DDDAS) concept uses applications modeling, mathematical algorithms, and measurement systems to work with dynamic systems. A dynamic systems such as Automatic Target Recognition (ATR) is subject to sensor, target, and the environment variations over space and time. We use the DDDAS concept to develop an ATR methodology for multiscale-multimodal analysis that seeks to integrated sensing, processing, and exploitation. In the analysis, we use computer vision techniques to explore the capabilities and analogies that DDDAS has with information fusion. The key attribute of coordination is the use of sensor management as a data driven techniques to improve performance. In addition, DDDAS supports the need for modeling from which uncertainty and variations are used within the dynamic models for advanced performance. As an example, we use a Wide-Area Motion Imagery (WAMI) application to draw parallels and contrasts between ATR and DDDAS systems that warrants an integrated perspective. This elementary work is aimed at triggering a sequence of deeper insightful research towards exploiting sparsely sampled piecewise dense WAMI measurements - an application where the challenges of big-data with regards to mathematical fusion relationships and high-performance computations remain significant and will persist. Dynamic data-driven adaptive computations are required to effectively handle the challenges with exponentially increasing data volume for advanced information fusion systems solutions such as simultaneous target tracking and ATR.

  12. Localization accuracy from automatic and semi-automatic rigid registration of locally-advanced lung cancer targets during image-guided radiation therapy

    International Nuclear Information System (INIS)

    Purpose: To evaluate localization accuracy resulting from rigid registration of locally-advanced lung cancer targets using fully automatic and semi-automatic protocols for image-guided radiation therapy. Methods: Seventeen lung cancer patients, fourteen also presenting with involved lymph nodes, received computed tomography (CT) scans once per week throughout treatment under active breathing control. A physician contoured both lung and lymph node targets for all weekly scans. Various automatic and semi-automatic rigid registration techniques were then performed for both individual and simultaneous alignments of the primary gross tumor volume (GTVP) and involved lymph nodes (GTVLN) to simulate the localization process in image-guided radiation therapy. Techniques included ''standard'' (direct registration of weekly images to a planning CT), ''seeded'' (manual prealignment of targets to guide standard registration), ''transitive-based'' (alignment of pretreatment and planning CTs through one or more intermediate images), and ''rereferenced'' (designation of a new reference image for registration). Localization error (LE) was assessed as the residual centroid and border distances between targets from planning and weekly CTs after registration. Results: Initial bony alignment resulted in centroid LE of 7.3 ± 5.4 mm and 5.4 ± 3.4 mm for the GTVP and GTVLN, respectively. Compared to bony alignment, transitive-based and seeded registrations significantly reduced GTVP centroid LE to 4.7 ± 3.7 mm (p = 0.011) and 4.3 ± 2.5 mm (p -3), respectively, but the smallest GTVP LE of 2.4 ± 2.1 mm was provided by rereferenced registration (p -6). Standard registration significantly reduced GTVLN centroid LE to 3.2 ± 2.5 mm (p -3) compared to bony alignment, with little additional gain offered by the other registration techniques. For simultaneous target alignment, centroid LE as low as 3.9 ± 2.7 mm and 3.8 ± 2.3 mm were achieved for the GTVP and GTVLN, respectively, using

  13. Automatic target classification of man-made objects in synthetic aperture radar images using Gabor wavelet and neural network

    Science.gov (United States)

    Vasuki, Perumal; Roomi, S. Mohamed Mansoor

    2013-01-01

    Processing of synthetic aperture radar (SAR) images has led to the development of automatic target classification approaches. These approaches help to classify individual and mass military ground vehicles. This work aims to develop an automatic target classification technique to classify military targets like truck/tank/armored car/cannon/bulldozer. The proposed method consists of three stages via preprocessing, feature extraction, and neural network (NN). The first stage removes speckle noise in a SAR image by the identified frost filter and enhances the image by histogram equalization. The second stage uses a Gabor wavelet to extract the image features. The third stage classifies the target by an NN classifier using image features. The proposed work performs better than its counterparts, like K-nearest neighbor (KNN). The proposed work performs better on databases like moving and stationary target acquisition and recognition against the earlier methods by KNN.

  14. Hardware bitstream sequence recognizer

    OpenAIRE

    Karpin, Oleksandr; Sokil, Volodymyr

    2009-01-01

    This paper describes how to implement in hardware a bistream sequence recognizer using the PSoC Pseudo Random Sequence Generator (PRS) User Module. The PRS can be used in digital communication systems with the serial data interface for automatic preamble detection and extraction, control words selection, etc.

  15. A comparative study of automatic image segmentation algorithms for target tracking in MR-IGRT.

    Science.gov (United States)

    Feng, Yuan; Kawrakow, Iwan; Olsen, Jeff; Parikh, Parag J; Noel, Camille; Wooten, Omar; Du, Dongsu; Mutic, Sasa; Hu, Yanle

    2016-01-01

    On-board magnetic resonance (MR) image guidance during radiation therapy offers the potential for more accurate treatment delivery. To utilize the real-time image information, a crucial prerequisite is the ability to successfully segment and track regions of interest (ROI). The purpose of this work is to evaluate the performance of different segmentation algorithms using motion images (4 frames per second) acquired using a MR image-guided radiotherapy (MR-IGRT) system. Manual con-tours of the kidney, bladder, duodenum, and a liver tumor by an experienced radia-tion oncologist were used as the ground truth for performance evaluation. Besides the manual segmentation, images were automatically segmented using thresholding, fuzzy k-means (FKM), k-harmonic means (KHM), and reaction-diffusion level set evolution (RD-LSE) algorithms, as well as the tissue tracking algorithm provided by the ViewRay treatment planning and delivery system (VR-TPDS). The performance of the five algorithms was evaluated quantitatively by comparing with the manual segmentation using the Dice coefficient and target registration error (TRE) measured as the distance between the centroid of the manual ROI and the centroid of the automatically segmented ROI. All methods were able to successfully segment the bladder and the kidney, but only FKM, KHM, and VR-TPDS were able to segment the liver tumor and the duodenum. The performance of the thresholding, FKM, KHM, and RD-LSE algorithms degraded as the local image contrast decreased, whereas the performance of the VP-TPDS method was nearly independent of local image contrast due to the reference registration algorithm. For segmenting high-contrast images (i.e., kidney), the thresholding method provided the best speed (< 1 ms) with a satisfying accuracy (Dice = 0.95). When the image contrast was low, the VR-TPDS method had the best automatic contour. Results suggest an image quality determination procedure before segmentation and a combination of

  16. Automatic identification of bird targets with radar via patterns produced by wing flapping.

    Science.gov (United States)

    Zaugg, Serge; Saporta, Gilbert; van Loon, Emiel; Schmaljohann, Heiko; Liechti, Felix

    2008-09-01

    Bird identification with radar is important for bird migration research, environmental impact assessments (e.g. wind farms), aircraft security and radar meteorology. In a study on bird migration, radar signals from birds, insects and ground clutter were recorded. Signals from birds show a typical pattern due to wing flapping. The data were labelled by experts into the four classes BIRD, INSECT, CLUTTER and UFO (unidentifiable signals). We present a classification algorithm aimed at automatic recognition of bird targets. Variables related to signal intensity and wing flapping pattern were extracted (via continuous wavelet transform). We used support vector classifiers to build predictive models. We estimated classification performance via cross validation on four datasets. When data from the same dataset were used for training and testing the classifier, the classification performance was extremely to moderately high. When data from one dataset were used for training and the three remaining datasets were used as test sets, the performance was lower but still extremely to moderately high. This shows that the method generalizes well across different locations or times. Our method provides a substantial gain of time when birds must be identified in large collections of radar signals and it represents the first substantial step in developing a real time bird identification radar system. We provide some guidelines and ideas for future research. PMID:18331979

  17. Automatic gas-levitation system for vacuum deposition of laser-fusion targets

    International Nuclear Information System (INIS)

    An improved simple system has been developed to gas-levitate microspheres during vacuum-deposition processes. The automatic operation relies on two effects: a lateral stabilizing force provided by a centering-ring; and an automatically incremented gas metering system to offset weight increases during coating

  18. Recognizing Cataracts

    Science.gov (United States)

    ... please review our exit disclaimer . Subscribe Recognizing Cataracts Watch for Vision Changes as You Age As life ... your eyes from harmful ultraviolet rays from the sun. Try wearing sunglasses or a hat with a ...

  19. Using locality-constrained linear coding in automatic target detection of HRS images

    Science.gov (United States)

    Rezaee, M.; Mirikharaji, Z.; Zhang, Y.

    2016-04-01

    Automatic target detection with complicated shapes in high spatial resolution images is an ongoing challenge in remote sensing image processing. This is because most methods use spectral or texture information, which are not sufficient for detecting complex shapes. In this paper, a new detection framework, based on Spatial Pyramid Matching (SPM) and Locality- constraint Linear Coding (LLC), is proposed to solve this problem, and exemplified using airplane shapes. The process starts with partitioning the image into sub-regions and generating a unique histogram for local features of each sub-region. Then, linear Support Vector Machines (SVMs) are used to detect objects based on a pyramid-matching kernel, which analyses the descriptors inside patches in different resolution. In order to generate the histogram, first a point feature detector (e.g. SIFT) is applied on the patches, and then a quantization process is used to select local features. In this step, the k-mean method is used in conjunction with the locality-constrained linear coding method. The LLC forces the coefficient matrix in the quantization process to be local and sparse as well. As a result, the speed of the method improves around 24 times in comparison to using sparse coding for quantization. Quantitative analysis also shows improvement in comparison to just using k-mean, but the accuracy in comparison to using sparse coding is similar. Rotation and shift of the desired object has no effect on the obtained results. The speed and accuracy of this algorithm for high spatial resolution images make it capable for use in real-world applications.

  20. Automatic online adaptive radiation therapy techniques for targets with significant shape change: a feasibility study

    Energy Technology Data Exchange (ETDEWEB)

    Court, Laurence E; Tishler, Roy B; Petit, Joshua; Cormack, Robert; Chin Lee [Department of Radiation Oncology, Dana-Farber/Brigham and Women' s Hospital Cancer Center, 75 Francis Street, ASBI-L2, Boston, MA 02115 (United States)

    2006-05-21

    This work looks at the feasibility of an online adaptive radiation therapy concept that would detect the daily position and shape of the patient, and would then correct the daily treatment to account for any changes compared with planning position. In particular, it looks at the possibility of developing algorithms to correct for large complicated shape change. For co-planar beams, the dose in an axial plane is approximately associated with the positions of a single multi-leaf collimator (MLC) pair. We start with a primary plan, and automatically generate several secondary plans with gantry angles offset by regular increments. MLC sequences for each plan are calculated keeping monitor units (MUs) and number of segments constant for a given beam (fluences are different). Bulk registration (3D) of planning and daily CT images gives global shifts. Slice-by-slice (2D) registration gives local shifts and rotations about the longitudinal axis for each axial slice. The daily MLC sequence is then created for each axial slice/MLC leaf pair combination, by taking the MLC positions from the pre-calculated plan with the nearest rotation, and shifting using a beam's-eye-view calculation to account for local linear shifts. A planning study was carried out using two head and neck region MR images of a healthy volunteer which were contoured to simulate a base-of-tongue treatment: one with the head straight (used to simulate the planning image) and the other with the head tilted to the left (the daily image). Head and neck treatment was chosen to evaluate this technique because of its challenging nature, with varying internal and external contours, and multiple degrees of freedom. Shape change was significant: on a slice-by-slice basis, local rotations in the daily image varied from 2 to 31 deg, and local shifts ranged from -0.2 to 0.5 cm and -0.4 to 0.0 cm in right-left and posterior-anterior directions, respectively. The adapted treatment gave reasonable target coverage (100

  1. Dolphin: a tool for automatic targeted metabolite profiling using 1D and 2D (1)H-NMR data.

    Science.gov (United States)

    Gómez, Josep; Brezmes, Jesús; Mallol, Roger; Rodríguez, Miguel A; Vinaixa, Maria; Salek, Reza M; Correig, Xavier; Cañellas, Nicolau

    2014-12-01

    One of the main challenges in nuclear magnetic resonance (NMR) metabolomics is to obtain valuable metabolic information from large datasets of raw NMR spectra in a high throughput, automatic, and reproducible way. To date, established software packages used to match and quantify metabolites in NMR spectra remain mostly manually operated, leading to low resolution results and subject to inconsistencies not attributable to the NMR technique itself. Here, we introduce a new software package, called Dolphin, able to automatically quantify a set of target metabolites in multiple sample measurements using an approach based on 1D and 2D NMR techniques to overcome the inherent limitations of 1D (1)H-NMR spectra in metabolomics. Dolphin takes advantage of the 2D J-resolved NMR spectroscopy signal dispersion to avoid inconsistencies in signal position detection, enhancing the reliability and confidence in metabolite matching. Furthermore, in order to improve accuracy in quantification, Dolphin uses 2D NMR spectra to obtain additional information on all neighboring signals surrounding the target metabolite. We have compared the targeted profiling results of Dolphin, recorded from standard biological mixtures, with those of two well established approaches in NMR metabolomics. Overall, Dolphin produced more accurate results with the added advantage of being a fully automated and high throughput processing package. PMID:25370160

  2. Automatic localization of target vertebrae in spine surgery using fast CT-to-fluoroscopy (3D-2D) image registration

    Science.gov (United States)

    Otake, Y.; Schafer, S.; Stayman, J. W.; Zbijewski, W.; Kleinszig, G.; Graumann, R.; Khanna, A. J.; Siewerdsen, J. H.

    2012-02-01

    Localization of target vertebrae is an essential step in minimally invasive spine surgery, with conventional methods relying on "level counting" - i.e., manual counting of vertebrae under fluoroscopy starting from readily identifiable anatomy (e.g., the sacrum). The approach requires an undesirable level of radiation, time, and is prone to counting errors due to the similar appearance of vertebrae in projection images; wrong-level surgery occurs in 1 of every ~3000 cases. This paper proposes a method to automatically localize target vertebrae in x-ray projections using 3D-2D registration between preoperative CT (in which vertebrae are preoperatively labeled) and intraoperative fluoroscopy. The registration uses an intensity-based approach with a gradient-based similarity metric and the CMA-ES algorithm for optimization. Digitally reconstructed radiographs (DRRs) and a robust similarity metric are computed on GPU to accelerate the process. Evaluation in clinical CT data included 5,000 PA and LAT projections randomly perturbed to simulate human variability in setup of mobile intraoperative C-arm. The method demonstrated 100% success for PA view (projection error: 0.42mm) and 99.8% success for LAT view (projection error: 0.37mm). Initial implementation on GPU provided automatic target localization within about 3 sec, with further improvement underway via multi-GPU. The ability to automatically label vertebrae in fluoroscopy promises to streamline surgical workflow, improve patient safety, and reduce wrong-site surgeries, especially in large patients for whom manual methods are time consuming and error prone.

  3. Automatic Shape-Based Target Extraction for Close-Range Photogrammetry

    Science.gov (United States)

    Guo, X.; Chen, Y.; Wang, C.; Cheng, M.; Wen, C.; Yu, J.

    2016-06-01

    In order to perform precise identification and location of artificial coded targets in natural scenes, a novel design of circle-based coded target and the corresponding coarse-fine extraction algorithm are presented. The designed target separates the target box and coding box totally and owns an advantage of rotation invariance. Based on the original target, templates are prepared by three geometric transformations and are used as the input of shape-based template matching. Finally, region growing and parity check methods are used to extract the coded targets as final results. No human involvement is required except for the preparation of templates and adjustment of thresholds in the beginning, which is conducive to the automation of close-range photogrammetry. The experimental results show that the proposed recognition method for the designed coded target is robust and accurate.

  4. Plasma membrane associated, virus-specific polypeptides required for the formation of target antigen complexes recognized by virus-specific cytotoxic T lymphocytes

    International Nuclear Information System (INIS)

    These studies were undertaken to define some of the poxvirus-specific target antigens which are synthesized in infected cells and recognized by vaccinia virus-specific CTLs (VV-CTLs). Since vaccinia virus infected, unmanipulated target cells express numerous virus-specific antigens on the plasma membrane, attempts were made to manipulate expression of the poxvirus genome after infection so that one or a few defined virus-specified antigens were expressed on the surface of infected cells. In vitro [51Cr]-release assays determined that viral DNA synthesis and expression of late viral proteins were not necessary to form a target cell which was fully competent for lysis by VV-CTLs. Under the conditions employed in these experiments, 90-120 minutes of viral protein synthesis were necessary to produce a competent cell for lysis by VV-CTLs. In order to further inhibit the expression of early viral proteins in infected cells, partially UV-inactivated vaccinia virus was employed to infect target cells. It was determined that L-cells infected with virus preparations which had been UV-irradiated for 90 seconds were fully competent for lysis by VV-CTLs. Cells infected with 90 second UV-irr virus expressed 3 predominant, plasma membrane associated antigens of 36-37K, 27-28K, and 19-17K. These 3 viral antigens represent the predominant membrane-associated viral antigens available for interaction with class I, major histocompatibility antigens and hence are potential target antigens for VV-CTLs

  5. Automatic Target Recognition in Synthetic Aperture Sonar Images Based on Geometrical Feature Extraction

    OpenAIRE

    J. Del Rio Vera; Coiras, E.; Groen, J; Evans, B.

    2009-01-01

    This paper presents a new supervised classification approach for automated target recognition (ATR) in SAS images. The recognition procedure starts with a novel segmentation stage based on the Hilbert transform. A number of geometrical features are then extracted and used to classify observed objects against a previously compiled database of target and non-target features. The proposed approach has been tested on a set of 1528 simulated images created by the NURC SIGMAS sonar model, achieving...

  6. Automatic Target Recognition in Synthetic Aperture Sonar Images Based on Geometrical Feature Extraction

    Science.gov (United States)

    Del Rio Vera, J.; Coiras, E.; Groen, J.; Evans, B.

    2009-12-01

    This paper presents a new supervised classification approach for automated target recognition (ATR) in SAS images. The recognition procedure starts with a novel segmentation stage based on the Hilbert transform. A number of geometrical features are then extracted and used to classify observed objects against a previously compiled database of target and non-target features. The proposed approach has been tested on a set of 1528 simulated images created by the NURC SIGMAS sonar model, achieving up to 95% classification accuracy.

  7. Recognizing Facial Expressions Automatically from Video

    Science.gov (United States)

    Shan, Caifeng; Braspenning, Ralph

    Facial expressions, resulting from movements of the facial muscles, are the face changes in response to a person's internal emotional states, intentions, or social communications. There is a considerable history associated with the study on facial expressions. Darwin [22] was the first to describe in details the specific facial expressions associated with emotions in animals and humans, who argued that all mammals show emotions reliably in their faces. Since that, facial expression analysis has been a area of great research interest for behavioral scientists [27]. Psychological studies [48, 3] suggest that facial expressions, as the main mode for nonverbal communication, play a vital role in human face-to-face communication. For illustration, we show some examples of facial expressions in Fig. 1.

  8. Validation of experts versus atlas-based and automatic registration methods for subthalamic nucleus targeting on MRI

    International Nuclear Information System (INIS)

    Objects: In functional stereotactic neurosurgery, one of the cornerstones upon which the success and the operating time depends is an accurate targeting. The subthalamic nucleus (STN) is the usual target involved when applying deep brain stimulation for Parkinson's disease (PD). Unfortunately, STN is usually not clearly visible in common medical imaging modalities, which justifies the use of atlas-based segmentation techniques to infer the STN location. Materials and methods: Eight bilaterally implanted PD patients were included in this study. A three-dimensional T1-weighted sequence and inversion recovery T2-weighted coronal slices were acquired pre-operatively. We propose a methodology for the construction of a ground truth of the STN location and a scheme that allows both, to perform a comparison between different non-rigid registration algorithms and to evaluate their usability to locate the STN automatically. Results: The intra-expert variability in identifying the STN location is 1.06±0.61 mm while the best non-rigid registration method gives an error of 1.80±0.62 mm. On the other hand, statistical tests show that an affine registration with only 12 degrees of freedom is not enough for this application. Conclusions: Using our validation-evaluation scheme, we demonstrate that automatic STN localization is possible and accurate with non-rigid registration algorithms. (orig.)

  9. I-TevI, the endonuclease encoded by the mobile td intron, recognizes binding and cleavage domains on its DNA target.

    Science.gov (United States)

    Bell-Pedersen, D; Quirk, S M; Bryk, M; Belfort, M

    1991-09-01

    Mobility of the phage T4 td intron depends on activity of an intron-encoded endonuclease (I-TevI), which cleaves a homologous intronless (delta In) target gene. The double-strand break initiates a recombination event that leads to intron transfer. We found previously that I-TevI cleaves td delta In target DNA 23-26 nucleotides upstream of the intron insertion site. DNase I-footprinting experiments and gel-shift assays indicate that I-TevI makes primary contacts around the intron insertion site. A synthetic DNA duplex spanning the insertion site but lacking the cleavage site was shown to bind I-TevI specifically, and when cloned, to direct cleavage into vector sequences. The behavior of the cloned duplex and that of deletion and insertion mutants support a primary role for sequences surrounding the insertion site in directing I-TevI binding, conferring cleavage ability, and determining cleavage polarity. On the other hand, sequences around the cleavage site were shown to influence cleavage efficiency and cut-site selection. The role of cleavage-site sequences in determining cleavage distance argues against a strict "ruler" mechanism for cleavage by I-TevI. The complex nature of the homing site recognized by this unusual type of endonuclease is considered in the context of intron spread. PMID:1881913

  10. Automatic Target Recognition in Synthetic Aperture Sonar Images Based on Geometrical Feature Extraction

    Directory of Open Access Journals (Sweden)

    J. Del Rio Vera

    2009-01-01

    Full Text Available This paper presents a new supervised classification approach for automated target recognition (ATR in SAS images. The recognition procedure starts with a novel segmentation stage based on the Hilbert transform. A number of geometrical features are then extracted and used to classify observed objects against a previously compiled database of target and non-target features. The proposed approach has been tested on a set of 1528 simulated images created by the NURC SIGMAS sonar model, achieving up to 95% classification accuracy.

  11. Morphological neural networks for automatic target detection by simulated annealing learning algorithm

    Institute of Scientific and Technical Information of China (English)

    余农; 吴昊; 吴常泳; 李范鸣; 吴立德

    2003-01-01

    A practical neural network model for morphological filtering and a simulated annealing optimal algorithm for the network parameters training are proposed in this paper. It is pointed out that the optimal designing process of the morphological filtering network in fact is the optimal learning process of adjusting network parameters (structuring element, or SE for short) to accommodate image environment. Then the network structure may possess the characteristics ofimage targets, and so give specific infor- mation to the SE. Morphological filters formed in this way become certainly intelligent and can provide good filtering results and robust adaptability to complex changing image. For application tomotional image target detection, dynamic training algorithm is applied to the designing process using asymptotic shrinking error and appropriate network weights adjusting. Experimental results show that the algorithm has invariant propertywith respect to shift, scale and rotation of moving target in continuing detection of moving targets.

  12. Real-time tumor tracking: Automatic compensation of target motion using the Siemens 160 MLC

    International Nuclear Information System (INIS)

    Purpose: Advanced high quality radiation therapy techniques such as IMRT require an accurate delivery of precisely modulated radiation fields to the target volume. Interfractional and intrafractional motion of the patient's anatomy, however, may considerably deteriorate the accuracy of the delivered dose to the planned dose distributions. In order to compensate for these potential errors, a dynamic real-time capable MLC control system was designed. Methods: The newly developed adaptive MLC control system contains specialized algorithms which are capable of continuous optimization and correction of the aperture of the MLC according to the motion of the target volume during the dose delivery. The algorithms calculate the new leaf positions based on target information provided online to the system. The algorithms were implemented in a dynamic target tracking control system designed for a Siemens 160 MLC. To assess the quality of the new target tracking system in terms of dosimetric accuracy, experiments with various types of motion patterns using different phantom setups were performed. The phantoms were equipped with radiochromic films placed between solid water slabs. Dosimetric results of exemplary deliveries to moving targets with and without dynamic MLC tracking applied were compared in terms of the gamma criterion to the reference dose delivered to a static phantom. Results: Our measurements indicated that dose errors for clinically relevant two-dimensional target motion can be compensated by the new control system during the dose delivery of open fields. For a clinical IMRT dose distribution, the gamma success rate was increased from 19% to 77% using the new tracking system. Similar improvements were achieved for the delivery of a complete IMRT treatment fraction to a moving lung phantom. However, dosimetric accuracy was limited by the system's latency of 400 ms and the finite leaf width of 5 mm in the isocenter plane. Conclusions: Different experimental setups

  13. Experimental new automatic tools for robotic stereotactic neurosurgery: towards "no hands" procedure of leads implantation into a brain target.

    Science.gov (United States)

    Mazzone, P; Arena, P; Cantelli, L; Spampinato, G; Sposato, S; Cozzolino, S; Demarinis, P; Muscato, G

    2016-07-01

    The use of robotics in neurosurgery and, particularly, in stereotactic neurosurgery, is becoming more and more adopted because of the great advantages that it offers. Robotic manipulators easily allow to achieve great precision, reliability, and rapidity in the positioning of surgical instruments or devices in the brain. The aim of this work was to experimentally verify a fully automatic "no hands" surgical procedure. The integration of neuroimaging to data for planning the surgery, followed by application of new specific surgical tools, permitted the realization of a fully automated robotic implantation of leads in brain targets. An anthropomorphic commercial manipulator was utilized. In a preliminary phase, a software to plan surgery was developed, and the surgical tools were tested first during a simulation and then on a skull mock-up. In such a way, several tools were developed and tested, and the basis for an innovative surgical procedure arose. The final experimentation was carried out on anesthetized "large white" pigs. The determination of stereotactic parameters for the correct planning to reach the intended target was performed with the same technique currently employed in human stereotactic neurosurgery, and the robotic system revealed to be reliable and precise in reaching the target. The results of this work strengthen the possibility that a neurosurgeon may be substituted by a machine, and may represent the beginning of a new approach in the current clinical practice. Moreover, this possibility may have a great impact not only on stereotactic functional procedures but also on the entire domain of neurosurgery. PMID:27194228

  14. Stereographic Targeting in Prostate Radiotherapy: Speed and Precision by Daily Automatic Positioning Corrections Using Kilovoltage/Megavoltage Image Pairs

    International Nuclear Information System (INIS)

    Purpose: A fully automated, fast, on-line prostate repositioning scheme using implanted markers, kilovoltage/megavoltage imaging, and remote couch movements has been developed and clinically applied. The initial clinical results of this stereographic targeting (SGT) method, as well as phantom evaluations, are presented. Methods and Materials: Using the SGT method, portal megavoltage images are acquired with the first two to six monitor units of a treatment beam, immediately followed by acquisition of an orthogonal kilovoltage image without gantry motion. The image pair is automatically analyzed to obtain the marker positions and three-dimensional prostate displacement and rotation. Remote control couch shifts are applied to correct for the displacement. The SGT performance was measured using both phantom images and images from 10 prostate cancer patients treated using SGT. Results: With phantom measurements, the accuracy of SGT was 0.5, 0.2, and 0.3 mm (standard deviation [SD]) for the left-right, craniocaudal, and anteroposterior directions, respectively, for translations and 0.5o (SD) for the rotations around all axes. Clinically, the success rate for automatic marker detection was 99.5%, and the accuracy was 0.3, 0.5 and 0.8 mm (SD) in the left-right, craniocaudal, and anteroposterior axes. The SDs of the systematic center-of-mass positioning errors (Σ) were reduced from 4.0 mm to <0.5 mm for all axes. The corresponding SD of the random (σ) errors was reduced from 3.0 to <0.8 mm. These small residual errors were achieved with a treatment time extension of <1 min. Conclusion: Stereographic targeting yields systematic and random prostate positioning errors of <1 mm with <1 min of added treatment time

  15. Iaser gun automatic shoting target and reporting%激光枪自动射击报靶装置

    Institute of Scientific and Technical Information of China (English)

    陈启昂; 潘瑶麟; 楼奇力

    2013-01-01

    This article is an automatic shooting indication of shots device design, largely by the Laser Gun and aiming, chest round target, correction detection circuit that some parts.The entire system is to control the k60 microcontroller core, through the camera, on the chest round target for image acquisition, processing, feedback to the SCM, determine where the correction, and can use the keyboard to change the wave pwm servo motor turns the appropriate angle, thus controlling laser correction.In addition to basic requirements met, the system designed to expand links : graphic dot matrix displays on the monitor chest round target graphics, and flash display correction.Automatic control of laser guns, the laser beam spot in 15 seconds from the rapid aiming at the specified location on the chest round target and hit the bull’s -eye ( that is, 10 Loop area ), other : Any number to ring, laser pointer to the appropriate place, is quite precise, and be able to voice indication of shots.%  本文设计的是一个自动射击报靶装置,主要由激光枪及瞄准机构、胸环靶、弹着点检测电路这几个部分构成。整个系统是以K60单片机为控制核心,通过摄像头,对胸环靶进行图像采集、处理,反馈给单片机,判断出弹着点所在位置,并且能通过键盘来改变PWM波使伺服电机转动相应角度,从而调控激光枪的弹着点。除基本要求满足外,本系统设计了一些拓展环节:图形点阵显示器上显示胸环靶的相应图形,并闪烁显示弹着点。自动控制激光枪,在15秒内将激光束光斑从胸环靶上的指定位置迅速瞄准并击中靶心(即10环区域),其他:任意给环数,激光笔打到相应位置,相当精确,并且能够语音报靶。

  16. Performance portability study of an automatic target detection and classification algorithm for hyperspectral image analysis using OpenCL

    Science.gov (United States)

    Bernabe, Sergio; Igual, Francisco D.; Botella, Guillermo; Garcia, Carlos; Prieto-Matias, Manuel; Plaza, Antonio

    2015-10-01

    Recent advances in heterogeneous high performance computing (HPC) have opened new avenues for demanding remote sensing applications. Perhaps one of the most popular algorithm in target detection and identification is the automatic target detection and classification algorithm (ATDCA) widely used in the hyperspectral image analysis community. Previous research has already investigated the mapping of ATDCA on graphics processing units (GPUs) and field programmable gate arrays (FPGAs), showing impressive speedup factors that allow its exploitation in time-critical scenarios. Based on these studies, our work explores the performance portability of a tuned OpenCL implementation across a range of processing devices including multicore processors, GPUs and other accelerators. This approach differs from previous papers, which focused on achieving the optimal performance on each platform. Here, we are more interested in the following issues: (1) evaluating if a single code written in OpenCL allows us to achieve acceptable performance across all of them, and (2) assessing the gap between our portable OpenCL code and those hand-tuned versions previously investigated. Our study includes the analysis of different tuning techniques that expose data parallelism as well as enable an efficient exploitation of the complex memory hierarchies found in these new heterogeneous devices. Experiments have been conducted using hyperspectral data sets collected by NASA's Airborne Visible Infra- red Imaging Spectrometer (AVIRIS) and the Hyperspectral Digital Imagery Collection Experiment (HYDICE) sensors. To the best of our knowledge, this kind of analysis has not been previously conducted in the hyperspectral imaging processing literature, and in our opinion it is very important in order to really calibrate the possibility of using heterogeneous platforms for efficient hyperspectral imaging processing in real remote sensing missions.

  17. A semantic approach to the efficient integration of interactive and automatic target recognition systems for the analysis of complex infrastructure from aerial imagery

    Science.gov (United States)

    Bauer, A.; Peinsipp-Byma, E.

    2008-04-01

    The analysis of complex infrastructure from aerial imagery, for instance a detailed analysis of an airfield, requires the interpreter, besides to be familiar with the sensor's imaging characteristics, to have a detailed understanding of the infrastructure domain. The required domain knowledge includes knowledge about the processes and functions involved in the operation of the infrastructure, the potential objects used to provide those functions and their spatial and functional interrelations. Since it is not possible yet to provide reliable automatic object recognition (AOR) for the analysis of such complex scenes, we developed systems to support a human interpreter with either interactive approaches, able to assist the interpreter with previously acquired expert knowledge about the domain in question, or AOR methods, capable of detecting, recognizing or analyzing certain classes of objects for certain sensors. We believe, to achieve an optimal result at the end of an interpretation process in terms of efficiency and effectivity, it is essential to integrate both interactive and automatic approaches to image interpretation. In this paper we present an approach inspired by the advancing semantic web technology to represent domain knowledge, the capabilities of available AOR modules and the image parameters in an explicit way. This enables us to seamlessly extend an interactive image interpretation environment with AOR modules in a way that we can automatically select suitable AOR methods for the current subtask, focus them on an appropriate area of interest and reintegrate their results into the environment.

  18. Improved clutter rejection in automatic target recognition and tracking using eigen-extended maximum average correlation height (EEMACH) filter and polynomial distance classifier correlation filter (PDCCF)

    Science.gov (United States)

    Islam, M. F.; Alam, M. S.

    2006-04-01

    Various correlation based techniques for detection and classification of targets in forward looking infrared (FLIR) imagery have been developed in last two decades. Correlation filters are attractive for automatic target recognition (ATR) because of their distortion tolerance and shift invariance capabilities. The extended maximum average correlation height (EMACH) filter was developed to detect a target with low false alarm rate while providing good distortion tolerance using a trade off parameter (beta). By decomposing the EMACH filter using the eigen-analysis, another generalized filter, called the eigen-EMACH (EEMACH) filter was developed. The EEMACH filter exhibits consistent performance over a wide range which controls the trade-off between distortion tolerance and clutter rejection. In this paper, a new technique is proposed to combine the EEMACH and polynomial distance classifier correlation filter (PDCCF) for detecting and tracking both single and multiple targets in real life FLIR sequences. At first, EEMACH filter was used to select regions of interest (ROI) from input images and then PDCCF is applied to identify targets using thresholds and distance measures. Both the EEMACH and PDCCF filters are trained with different sizes and orientations corresponding to the target to be detected. This method provides improved clutter rejection capability by exploiting the eigen vectors of the desired class. Both single and multiple targets were identified in each frame by independently using EEMACH-PDCCF algorithm to avoid target disappearance problems under complicated scenarios.

  19. I-TevI, the endonuclease encoded by the mobile td intron, recognizes binding and cleavage domains on its DNA target.

    OpenAIRE

    Bell-Pedersen, D; Quirk, S M; Bryk, M; Belfort, M

    1991-01-01

    Mobility of the phage T4 td intron depends on activity of an intron-encoded endonuclease (I-TevI), which cleaves a homologous intronless (delta In) target gene. The double-strand break initiates a recombination event that leads to intron transfer. We found previously that I-TevI cleaves td delta In target DNA 23-26 nucleotides upstream of the intron insertion site. DNase I-footprinting experiments and gel-shift assays indicate that I-TevI makes primary contacts around the intron insertion sit...

  20. A Model for Quick Searching and Recognizing Path of a Moving Target%运动目标快速搜索辨识的路径规划

    Institute of Scientific and Technical Information of China (English)

    袁俊华; 年福耿; 刘李楠

    2013-01-01

    运动目标快速搜索辨识问题属于路径规划,与背包问题以及推销员最佳路线问题相似,但又存在明显区别:前者问题目标是运动的,后者是静止的;当运动目标是待辨识可疑船只时,还要考虑多种因素和资源.基于此,提出“动静结合”,在利用Hamilton回路算法和Kruskal避圈法的基础上,设计截相遇迭代算法,并根据目标的威胁等级以及聚集程度建立最优搜索策略.%The problem to search and identify the path of a moving is a path planning problem.It is similar to knappack problem and best saleman route,but with significant differences:problem targets at moving objects,while other problems deal with static situation.Especially when the target is a suspicious ship,the safety of convoy should be also considered.Based on this,a model combining target movement and static condition are proposd.Model use the Hamilton loop optimal algorithm and Kruskal’s algorithm to establish a optimal search strategy,with a cut-off encounter algorithm to solving the problem.

  1. Monitoring targeted therapy using dual-energy CT: semi-automatic RECIST plus supplementary functional information by quantifying iodine uptake of melanoma metastases

    Science.gov (United States)

    Sedlmair, M.; Schlemmer, H.P.; Hassel, J.C.; Ganten, M.

    2013-01-01

    Abstract Aim: Supplementary functional information can contribute to assess response in targeted therapies. The aim of this study was to evaluate semi-automatic RECIST plus iodine uptake (IU) determination in melanoma metastases under BRAF inhibitor (vemurafenib) therapy using dual-energy computed tomography (DECT). Methods: Nine patients with stage IV melanoma treated with a BRAF inhibitor were included. Contrast-enhanced DECT was performed before and twice after treatment onset. Changes in tumor size were assessed according to RECIST. Quantification of IU (absolute value for total IU (mg) and volume-normalized IU (mg/ml)) was based on semi-automatic tumor volume segmentation. The decrease compared with baseline was calculated. Results: The mean change of RECIST diameter sum per patient was −47% at the first follow-up (FU), −56% at the second FU (P < 0.01). The mean normalized IU per patient was −21% at the first FU (P < 0.2) and −45% at the second FU (P < 0.01). Total IU per patient, combining both normalized IU and volume, showed the most pronounced decrease: −89% at the first FU and −90% at the second FU (P < 0.01). Conclusion: Semi-automatic RECIST plus IU quantification in DECT enables objective, easy and fast parameterization of tumor size and contrast medium uptake, thus providing 2 complementary pieces of information for response monitoring applicable in daily routine. PMID:23876444

  2. Air Mouse Solution Based on the IR Small Target Recognize%基于红外小目标识别的空中鼠标解决方案

    Institute of Scientific and Technical Information of China (English)

    李震; 郑建宝; 朱振驰; 林耀聪

    2014-01-01

    该文提出一种基于运动物体DBT(detect before track)背景消除法识别红外小目标,并将其应用于空中鼠标中。实验主要经过色彩空间转换、阈值分割、图像开运算、连通分析后进行目标识别,并通过摄像头标定获取识别目标在视野中的相对位置。通过单片机以及2.4G通信模块,将除位置信息以外的控制信息传递到电脑。以电脑进行位置运算,单片机进行控制。实验结果表明,该方案识别的目标精度较高,价格低廉,具有一定应用前景。%In this paper, we have proposed one method to identify the infrared small target based on moving object DBT (detect before track) background elimination, and applied it to the air mouse. The target is recognized mainly through the steps below:color space conversion, threshold segmentation, image open operation, connection area analysis, and then identify the target rela-tive position in the field of vision captured .By MCU(micro-controller unit) and 2.4G communication module, the control infor-mation will be transmitted to the computer. Recognized the position by computer and control by the MCU. The result shows that the proposed scheme has higher target accuracy, lower price and a certain application prospect.

  3. Automatic Number Plate Recognition System

    OpenAIRE

    Rajshree Dhruw; Dharmendra Roy

    2014-01-01

    Automatic Number Plate Recognition (ANPR) is a mass surveillance system that captures the image of vehicles and recognizes their license number. The objective is to design an efficient automatic authorized vehicle identification system by using the Indian vehicle number plate. In this paper we discus different methodology for number plate localization, character segmentation & recognition of the number plate. The system is mainly applicable for non standard Indian number plates by recognizing...

  4. An Approach for Automatic Orientation of Big Point Clouds from the Stationary Scanners Based on the Spherical Targets

    Directory of Open Access Journals (Sweden)

    YAO Jili

    2015-04-01

    Full Text Available Terrestrial laser scanning (TLS technology has high speed of data acquisition, large amount of point cloud, long distance of measuring. However, there are some disadvantages such as distance limitation in target detecting, hysteresis in point clouds processing, low automation and weaknesses of adapting long-distance topographic survey. In this case, we put forward a method on long-range targets detecting in big point clouds orientation. The method firstly searches point cloud rings that contain targets according to their engineering coordinate system. Then the detected rings are divided into sectors to detect targets in a very short time so as to obtain central coordinates of these targets. Finally, the position and orientation parameters of scanner are calculated and point clouds in scanner's own coordinate system(SOCS are converted into engineering coordinate system. The method is able to be applied in ordinary computers for long distance topographic(the distance between scanner and targets ranges from 180 to 700 m survey in mountainous areas with targets radius of 0.162m.

  5. 基于回光强度的平面标靶自动识别方法%Automatic recognition method of planar target based on return light intensity

    Institute of Scientific and Technical Information of China (English)

    王力; 李广云; 张洪新

    2011-01-01

    平面标靶在中长距离三维激光扫描仪的检校、数据采集、单点测量等环节中发挥着重要作用,而平面标靶的高精度、自动化识别是在其使用中面临的一个关键问题.在分析扫描数据特点的基础上,提出一种基于回光强度的平面标靶自动识别方法.具体的步骤为:改正回光强度以消除距离的影响;基于回光强度进行阈值分割以得到平面标靶点云;提出一种基于扫描线的聚类算法,将平面标靶点云聚集在一起;采用形状检测技术排除非标靶对象;采用回光强度加权法计算平面标靶中心的三维坐标.通过对Riegl公司的三维激光扫描仪LMS Z620获取的实测数据进行实验,结果表明:此方法能完成标靶的快速、全自动识别,点位精度优于2mm,能够满足测量任务的需要.%Planar target plays an important role in the calibration, data collection and single point measurement of 3D laser scanner of middle and long range. The high precision and automatic recognition of planar targets is a key problem in application of laser scanner. A new recognizing method was put forward by using return light intensity based on analyzing the character of scan data. The steps are as follows: the return light intensity was corrected to eliminate the effects of distance. The point cloud of planar target was obtained by threshold segmenting based on return light intensity. A cluster method was proposed to gather the point cloud of planar target. The area detection was adopted to eliminate those objects which were not real target. 3D coordinate of planar target center was computed by adopting return light intensity weighting method. Experimental results obtained by using Riegl's LMS Z620 show that this method can realize the full automatic recognition quickly with the accuracy of point position better than 2 mm and meet the needs of survey task.

  6. FDA Recognized Consensus Standards

    Data.gov (United States)

    U.S. Department of Health & Human Services — This database consists of those national and international standards recognized by FDA which manufacturers can declare conformity to and is part of the information...

  7. Recognizing teen depression

    Science.gov (United States)

    ... page: //medlineplus.gov/ency/patientinstructions/000648.htm Recognizing teen depression To use the sharing features on this ... teen's life. Be Aware of the Risk for Teen Depression Your teen is more at risk for ...

  8. A continuous Putonghua recognizer

    OpenAIRE

    Wong, PK; Chan, C.

    1997-01-01

    A multi-speaker continuous Putonghua recognizer has been developed composing of 20 speaker-dependent recognizer as sub-systems. Each sub-system is a network of hidden Markov models modeling triphones as the fundamental speech units. Over 3 GB of speech data have been collected for training from twenty native Putonghua speakers reading carefully designed tests trying to include all phone-to-phone transitions in Putonghua. A Viterbi path search yields the best speech unit sequence over the HMMn...

  9. Impact of planning CT slice thickness on the accuracy of automatic target registration using the on-board cone-beam CT

    International Nuclear Information System (INIS)

    We have evaluated relationship between planning CT slice thickness and the accuracy of automatic target registration using cone-beam CT (CBCT). Planning CT images were acquired with reconstructed slice thickness of 1, 2, 3, 5, and 10 mm for three different phantoms: Penta-Guide phantom, acrylic ball phantom, and pelvic phantom. After correctly placing the phantom at the isocenter using an in-room laser, we purposely displaced it by moving the treatment couch and then obtained CBCT images. Registration between the planning CT and the CBCT was performed using automatic target registration software, and the registration errors were recorded for each planning CT data set with different slice thickness. The respective average and standard deviation of errors for 10 mm slice thickness CT in the lateral, longitudinal, and vertical directions (n=15 data sets) were: 0.7±0.2 mm, 0.8±0.2 mm, and 0.2±0.2 mm for the Penta-Guide phantom; 0.5±0.4 mm, 0.6±0.3 mm, and 0.4±0.3 mm for the acrylic ball phantom and 0.6±0.2 mm, 0.9±0.2 mm, and 0.2±0.2 mm for the pelvic phantom. We found that the mean registration errors were always less than 1 mm regardless of the slice thickness tested. The results suggest that there is no obvious correlation between the planning CT slice thickness and the registration errors. (author)

  10. Recognizing Strokes in Tennis Videos Using Hidden Markov Models

    NARCIS (Netherlands)

    Petkovic, M.; Jonker, W.; Zivkovic, Z.

    2001-01-01

    This paper addresses content-based video retrieval with an emphasis on recognizing events in tennis game videos. In particular, we aim at recognizing different classes of tennis strokes using automatic learning capability of Hidden Markov Models. Driven by our domain knowledge, a robust player segme

  11. ROBIN: a platform for evaluating automatic target recognition algorithms: I. Overview of the project and presentation of the SAGEM DS competition

    Science.gov (United States)

    Duclos, D.; Lonnoy, J.; Guillerm, Q.; Jurie, F.; Herbin, S.; D'Angelo, E.

    2008-04-01

    The last five years have seen a renewal of Automatic Target Recognition applications, mainly because of the latest advances in machine learning techniques. In this context, large collections of image datasets are essential for training algorithms as well as for their evaluation. Indeed, the recent proliferation of recognition algorithms, generally applied to slightly different problems, make their comparisons through clean evaluation campaigns necessary. The ROBIN project tries to fulfil these two needs by putting unclassified datasets, ground truths, competitions and metrics for the evaluation of ATR algorithms at the disposition of the scientific community. The scope of this project includes single and multi-class generic target detection and generic target recognition, in military and security contexts. From our knowledge, it is the first time that a database of this importance (several hundred thousands of visible and infrared hand annotated images) has been publicly released. Funded by the French Ministry of Defence (DGA) and by the French Ministry of Research, ROBIN is one of the ten Techno-vision projects. Techno-vision is a large and ambitious government initiative for building evaluation means for computer vision technologies, for various application contexts. ROBIN's consortium includes major companies and research centres involved in Computer Vision R&D in the field of defence: Bertin Technologies, CNES, ECA, DGA, EADS, INRIA, ONERA, MBDA, SAGEM, THALES. This paper, which first gives an overview of the whole project, is focused on one of ROBIN's key competitions, the SAGEM Defence Security database. This dataset contains more than eight hundred ground and aerial infrared images of six different vehicles in cluttered scenes including distracters. Two different sets of data are available for each target. The first set includes different views of each vehicle at close range in a "simple" background, and can be used to train algorithms. The second set

  12. Recognizing Computational Science

    Science.gov (United States)

    Bland-Hawthorn, J.

    2006-08-01

    There are prestigious international awards that recognize the role of theory and experiment in science and mathematics, but there are no awards of a similar stature that explicitly recognize the role of computational science in a scientific field. In 1945, John von Neumann noted that "many branches of both pure and applied mathematics are in great need of computing instruments to break the present stalemate created by the failure of the purely analytical approach to nonlinear problems." In the past few decades, great strides in mathematics and in the applied sciences can be linked to computational science.

  13. Automatic sequences

    CERN Document Server

    Haeseler, Friedrich

    2003-01-01

    Automatic sequences are sequences which are produced by a finite automaton. Although they are not random they may look as being random. They are complicated, in the sense of not being not ultimately periodic, they may look rather complicated, in the sense that it may not be easy to name the rule by which the sequence is generated, however there exists a rule which generates the sequence. The concept automatic sequences has special applications in algebra, number theory, finite automata and formal languages, combinatorics on words. The text deals with different aspects of automatic sequences, in particular:· a general introduction to automatic sequences· the basic (combinatorial) properties of automatic sequences· the algebraic approach to automatic sequences· geometric objects related to automatic sequences.

  14. Conformation-specific antibodies targeting the trimer-of-hairpins motif of the human T-cell leukemia virus type 1 transmembrane glycoprotein recognize the viral envelope but fail to neutralize viral entry.

    Science.gov (United States)

    Mirsaliotis, Antonis; Nurkiyanova, Kulpash; Lamb, Daniel; Woof, Jenny M; Brighty, David W

    2007-06-01

    Human T-cell leukemia virus type 1 (HTLV-1) entry into cells is dependent upon the viral envelope glycoprotein-catalyzed fusion of the viral and cellular membranes. Following receptor activation of the envelope, the transmembrane glycoprotein (TM) is thought to undergo a series of fusogenic conformational transitions through a rod-like prehairpin intermediate to a compact trimer-of-hairpins structure. Importantly, synthetic peptides that interfere with the conformational changes of TM are potent inhibitors of membrane fusion and HTLV-1 entry, suggesting that TM is a valid target for antiviral therapy. To assess the utility of TM as a vaccine target and to explore further the function of TM in HTLV-1 pathogenesis, we have begun to examine the immunological properties of TM. Here we demonstrate that a recombinant trimer-of-hairpins form of the TM ectodomain is strongly immunogenic. Monoclonal antibodies raised against the TM immunogen specifically bind to trimeric forms of TM, including structures thought to be important for membrane fusion. Importantly, these antibodies recognize the envelope on virally infected cells but, surprisingly, fail to neutralize envelope-mediated membrane fusion or infection by pseudotyped viral particles. Our data imply that, even in the absence of overt membrane fusion, there are multiple forms of TM on virally infected cells and that some of these display fusion-associated structures. Finally, we demonstrate that many of the antibodies possess the ability to recruit complement to TM, suggesting that envelope-derived immunogens capable of eliciting a combination of neutralizing and complement-fixing antibodies would be of value as subunit vaccines for intervention in HTLV infections. PMID:17376912

  15. Automatic Parallelization Using OpenMP Based on STL Semantics

    Energy Technology Data Exchange (ETDEWEB)

    Liao, C; Quinlan, D J; Willcock, J J; Panas, T

    2008-06-03

    Automatic parallelization of sequential applications using OpenMP as a target has been attracting significant attention recently because of the popularity of multicore processors and the simplicity of using OpenMP to express parallelism for shared-memory systems. However, most previous research has only focused on C and Fortran applications operating on primitive data types. C++ applications using high level abstractions such as STL containers are largely ignored due to the lack of research compilers that are readily able to recognize high level object-oriented abstractions of STL. In this paper, we use ROSE, a multiple-language source-to-source compiler infrastructure, to build a parallelizer that can recognize such high level semantics and parallelize C++ applications using certain STL containers. The idea of our work is to automatically insert OpenMP constructs using extended conventional dependence analysis and the known domain-specific semantics of high-level abstractions with optional assistance from source code annotations. In addition, the parallelizer is followed by an OpenMP translator to translate the generated OpenMP programs into multi-threaded code targeted to a popular OpenMP runtime library. Our work extends the applicability of automatic parallelization and provides another way to take advantage of multicore processors.

  16. Recognize and classify pneumoconiosis

    International Nuclear Information System (INIS)

    In the year 2012, out of the 10 most frequently recognized occupational diseases 6 were forms of pneumoconiosis. With respect to healthcare and economic aspects, silicosis and asbestos-associated diseases are of foremost importance. The latter are to be found everywhere and are not restricted to large industrial areas. Radiology has a central role in the diagnosis and evaluation of occupational lung disorders. In cases of known exposure mainly to asbestos and quartz, the diagnosis of pneumoconiosis, with few exceptions will be established primarily by the radiological findings. As these disorders are asymptomatic for a long time they are quite often detected as incidental findings in examinations for other reasons. Therefore, radiologists have to be familiar with the pattern of findings of the most frequent forms of pneumoconiosis and the differential diagnoses. For reasons of equal treatment of the insured a quality-based, standardized performance, documentation and evaluation of radiological examinations is required in preventive procedures and evaluations. Above all, a standardized low-dose protocol has to be used in computed tomography (CT) examinations, although individualized concerning the dose, in order to keep radiation exposure as low as possible for the patient. The International Labour Office (ILO) classification for the coding of chest X-rays and the international classification of occupational and environmental respiratory diseases (ICOERD) classification used since 2004 for CT examinations meet the requirements of the insured and the occupational insurance associations as a means of reproducible and comparable data for decision-making. (orig.)

  17. MOVING TARGETS PATTERN RECOGNITION BASED ON THE WAVELET NEURAL NETWORK

    Institute of Scientific and Technical Information of China (English)

    Ge Guangying; Chen Lili; Xu Jianjian

    2005-01-01

    Based on pattern recognition theory and neural network technology, moving objects automatic detection and classification method integrating advanced wavelet analysis are discussed in detail. An algorithm of moving targets pattern recognition on the combination of inter-frame difference and wavelet neural network is presented. The experimental results indicate that the designed BP wavelet network using this algorithm can recognize and classify moving targets rapidly and effectively.

  18. Recognizing one's own face.

    Science.gov (United States)

    Kircher, T T; Senior, C; Phillips, M L; Rabe-Hesketh, S; Benson, P J; Bullmore, E T; Brammer, M; Simmons, A; Bartels, M; David, A S

    2001-01-01

    We report two studies of facial self-perception using individually tailored, standardized facial photographs of a group of volunteers and their partners. A computerized morphing procedure was used to merge each target face with an unknown control face. In the first set of experiments, a discrimination task revealed a delayed response time for the more extensively morphed self-face stimuli. In a second set of experiments, functional magnetic resonance imaging (fMRI) was used to measure brain activation while subjects viewed morphed versions of either their own or their partner's face, alternating in blocks with presentation of an unknown face. When subjects viewed themselves (minus activation for viewing an unknown face), increased blood oxygenation was detected in right limbic (hippocampal formation, insula, anterior cingulate), left prefrontal cortex and superior temporal cortex. In the partner (versus unknown) experiment, only the right insula was activated. We suggest that a neural network involving the right hemisphere in conjunction with left-sided associative and executive regions underlies the process of visual self-recognition. Together, this combination produces the unique experience of self-awareness. PMID:11062324

  19. Automatic Speaker Recognition System

    Directory of Open Access Journals (Sweden)

    Parul,R. B. Dubey

    2012-12-01

    Full Text Available Spoken language is used by human to convey many types of information. Primarily, speech convey message via words. Owing to advanced speech technologies, people's interactions with remote machines, such as phone banking, internet browsing, and secured information retrieval by voice, is becoming popular today. Speaker verification and speaker identification are important for authentication and verification in security purpose. Speaker identification methods can be divided into text independent and text-dependent. Speaker recognition is the process of automatically recognizing speaker voice on the basis of individual information included in the input speech waves. It consists of comparing a speech signal from an unknown speaker to a set of stored data of known speakers. This process recognizes who has spoken by matching input signal with pre- stored samples. The work is focussed to improve the performance of the speaker verification under noisy conditions.

  20. Semantic Priming from Letter-Searched Primes Occurs for Low- but Not High-Frequency Targets: Automatic Semantic Access May Not Be a Myth

    Science.gov (United States)

    Tse, Chi-Shing; Neely, James H.

    2007-01-01

    Letter-search (LS) within a prime often eliminates semantic priming. In 2 lexical decision experiments, the authors found that priming from LS primes occurred for low-frequency (LF) but not high-frequency (HF) targets whether the target's word frequency was manipulated between or within participants and whether the prime-target pairs were…

  1. Automatic integration of social information in emotion recognition.

    Science.gov (United States)

    Mumenthaler, Christian; Sander, David

    2015-04-01

    This study investigated the automaticity of the influence of social inference on emotion recognition. Participants were asked to recognize dynamic facial expressions of emotion (fear or anger in Experiment 1 and blends of fear and surprise or of anger and disgust in Experiment 2) in a target face presented at the center of a screen while a subliminal contextual face appearing in the periphery expressed an emotion (fear or anger) or not (neutral) and either looked at the target face or not. Results of Experiment 1 revealed that recognition of the target emotion of fear was improved when a subliminal angry contextual face gazed toward-rather than away from-the fearful face. We replicated this effect in Experiment 2, in which facial expression blends of fear and surprise were more often and more rapidly categorized as expressing fear when the subliminal contextual face expressed anger and gazed toward-rather than away from-the target face. With the contextual face appearing for 30 ms in total, including only 10 ms of emotion expression, and being immediately masked, our data provide the first evidence that social influence on emotion recognition can occur automatically. PMID:25688908

  2. Infrared Targeting System (IRTS) demonstration

    Science.gov (United States)

    Ohair, Mark A.; Eucker, Shelly S.; Eucker, Brad A.; Lewis, Tim

    1992-02-01

    The objective of the Infrared Targeting System (IRTS) is to successfully demonstrate the mission performance that can be achieved in manned air-to-ground targeting applications utilizing a synergistic combination of state of the art active/passive infrared sensor and automatic target recognizer (ATR) technologies. The IRTS program is centered around a demonstration FLIR/Laser Radar/ATR (FLASHER). The FLASHER consists of a dual field of view (2 x 2 degree and 6 x 6 degree) second generation FLIR pixel mapped to a CO2 laser radar, with a FLIR ATR processor, a laser radar ATR processor, and a sensor fusion ATR processor. Following construction and laboratory testing of the IRTS, the system will be installed on a test aircraft and demonstrated in flight against realistic tactical, strategic, and special operations scenarios.

  3. Using automatic programming for simulating reliability network models

    Science.gov (United States)

    Tseng, Fan T.; Schroer, Bernard J.; Zhang, S. X.; Wolfsberger, John W.

    1988-01-01

    This paper presents the development of an automatic programming system for assisting modelers of reliability networks to define problems and then automatically generate the corresponding code in the target simulation language GPSS/PC.

  4. Multi-Mode Radar Target Detection and Recognition Using Neural Networks

    OpenAIRE

    Briones, Janette C.; Benjamin Flores; Raul Cruz-Cano

    2012-01-01

    In typical radar systems, the process of recognizing a target requires human involvement. This human element makes radar systems not fully reliable due to unstable performance that varies between operators. This paper describes an intelligent radar system which addresses this problem in a border surveillance environment. The proposed radar system is capable of automatically detecting and then classifying different targets using an artificial neural network trained with the Levenberg‐Marquardt...

  5. Do You Recognize This Parent?

    Science.gov (United States)

    Wallace, Edna

    1997-01-01

    Suggests effective ways to work with parents who may be permissive, busy, detached, overprotective, or negative. Recommends that child care professionals be sensitive and understanding, recognize other demands on parents' time and communicate competitively with them, use terms parents understand, accept various levels of parental involvement, be…

  6. Automatic readout micrometer

    International Nuclear Information System (INIS)

    A measuring system is disclosed for surveying and very accurately positioning objects with respect to a reference line. A principal use of this surveying system is for accurately aligning the electromagnets which direct a particle beam emitted from a particle accelerator. Prior art surveying systems require highly skilled surveyors. Prior art systems include, for example, optical surveying systems which are susceptible to operator reading errors, and celestial navigation-type surveying systems, with their inherent complexities. The present invention provides an automatic readout micrometer which can very accurately measure distances. The invention has a simplicity of operation which practically eliminates the possibilities of operator optical reading error, owning to the elimination of traditional optical alignments for making measurements. The invention has an extendable arm which carries a laser surveying target. The extendable arm can be continuously positioned over its entire length of travel by either a coarse or fine adjustment without having the fine adjustment outrun the coarse adjustment until a reference laser beam is centered on the target as indicated by a digital readout. The length of the micrometer can then be accurately and automatically read by a computer and compared with a standardized set of alignment measurements. Due to its construction, the micrometer eliminates any errors due to temperature changes when the system is operated within a standard operating temperature range

  7. Recognizing Prefixes in Scientific Quantities

    Science.gov (United States)

    Sokolowski, Andrzej

    2015-09-01

    Although recognizing prefixes in physical quantities is inherent for practitioners, it might not be inherent for students, who do not use prefixes in their everyday life experiences. This deficiency surfaces in AP Physics exams. For example, readers of an AP Physics exam reported "a common mistake of incorrectly converting nanometers to meters." Similar students' mistakes were reported also by AP Chemistry readers "as in previous years, students still had difficulty converting kJ to J." While traditional teaching focuses on memorizing the symbols of prefixes, little attention is given to helping learners recognize a prefix in a given quantity. I noticed in my teaching practice that by making the processes of identifying prefixes more explicit, students make fewer mistakes on unit conversion. Thus, this paper presents an outline of a lesson that focuses on prefix recognition. It is designed for a first-year college physics class; however, its key points can be addressed to any group of physics students.

  8. Recognizing body dysmorphic disorder (dysmorphophobia

    Directory of Open Access Journals (Sweden)

    Anukriti Varma

    2015-01-01

    Full Text Available Dysmorphophobia is a psychiatric condition which frequently presents in the clinics of dermatologists and plastic surgeons. This disorder (also called body dysmorphic disorder is troublesome to the patient whilst being confusing for the doctor. This commonly undiagnosed condition can be detected by a few simple steps. Timely referral to a psychiatrist benefits most patients suffering from it. This article describes with a case vignette, how to recognize body dysmorphic disorder presenting in the dermatological or aesthetic surgery set up. Diagnostic criteria, eitiology, approach to patient, management strategy and when to refer are important learning points. The importance of recognizing this disorder timely and referring the patient to the psychiatrist for appropriate treatment is crucial.This article covers all aspects of body dysmorphic disorder relevant to dermatologists and plastic surgeons and hopes to be useful in a better understanding of this disorder.

  9. Recognizing Body Dysmorphic Disorder (Dysmorphophobia).

    Science.gov (United States)

    Varma, Anukriti; Rastogi, Rajesh

    2015-01-01

    Dysmorphophobia is a psychiatric condition which frequently presents in the clinics of dermatologists and plastic surgeons. This disorder (also called body dysmorphic disorder) is troublesome to the patient whilst being confusing for the doctor. This commonly undiagnosed condition can be detected by a few simple steps. Timely referral to a psychiatrist benefits most patients suffering from it. This article describes with a case vignette, how to recognize body dysmorphic disorder presenting in the dermatological or aesthetic surgery set up. Diagnostic criteria, eitiology, approach to patient, management strategy and when to refer are important learning points. The importance of recognizing this disorder timely and referring the patient to the psychiatrist for appropriate treatment is crucial. This article covers all aspects of body dysmorphic disorder relevant to dermatologists and plastic surgeons and hopes to be useful in a better understanding of this disorder. PMID:26644741

  10. Recognizing Body Dysmorphic Disorder (Dysmorphophobia)

    OpenAIRE

    Anukriti Varma; Rajesh Rastogi

    2015-01-01

    Dysmorphophobia is a psychiatric condition which frequently presents in the clinics of dermatologists and plastic surgeons. This disorder (also called body dysmorphic disorder) is troublesome to the patient whilst being confusing for the doctor. This commonly undiagnosed condition can be detected by a few simple steps. Timely referral to a psychiatrist benefits most patients suffering from it. This article describes with a case vignette, how to recognize body dysmorphic disorder presenting in...

  11. Recognizing Anaphora Reference in Persian Sentences

    Directory of Open Access Journals (Sweden)

    Farshid Fallahi

    2011-03-01

    Full Text Available Finding the reference of pronouns in a piece of text, which is a type of co-reference resolution, is an important task in discourse analysis and processing natural language texts.Pronoun reference is the noun that is replaced by the pronoun.In this paper, we propose a rule-based method for pronoun reference resolution in Persian texts. Our method exploits rules to recognize the reference of various types of pronouns in a 3-sentences interval. An automatic reference resolution system is developed based on the proposed method as the first pronoun reference resolution system for the Persian language. The experimental results show admissible accuracy in test cases. In this paper firstly we will describe some problems and challenges in detecting pronoun references and have an overview of related works in this field. In the next sections, after a brief description of the proposed method and the developed system, its features and architecture, we will discuss its components in detail. Then we will explain the experimental results and discuss further works to improve the system.

  12. Antarctic skuas recognize individual humans.

    Science.gov (United States)

    Lee, Won Young; Han, Yeong-Deok; Lee, Sang-Im; Jablonski, Piotr G; Jung, Jin-Woo; Kim, Jeong-Hoon

    2016-07-01

    Recent findings report that wild animals can recognize individual humans. To explain how the animals distinguish humans, two hypotheses are proposed. The high cognitive abilities hypothesis implies that pre-existing high intelligence enabled animals to acquire such abilities. The pre-exposure to stimuli hypothesis suggests that frequent encounters with humans promote the acquisition of discriminatory abilities in these species. Here, we examine individual human recognition abilities in a wild Antarctic species, the brown skua (Stercorarius antarcticus), which lives away from typical human settlements and was only recently exposed to humans due to activities at Antarctic stations. We found that, as nest visits were repeated, the skua parents responded at further distances and were more likely to attack the nest intruder. Also, we demonstrated that seven out of seven breeding pairs of skuas selectively responded to a human nest intruder with aggression and ignored a neutral human who had not previously approached the nest. The results indicate that Antarctic skuas, a species that typically inhabited in human-free areas, are able to recognize individual humans who disturbed their nests. Our findings generally support the high cognitive abilities hypothesis, but this ability can be acquired during a relatively short period in the life of an individual as a result of interactions between individual birds and humans. PMID:26939544

  13. Around the laboratories: Rutherford: Successful tests on bubble chamber target technique; Stanford (SLAC): New storage rings proposal; Berkeley: The HAPPE project to examine cosmic rays with superconducting magnets; The 60th birthday of Professor N.N. Bogolyubov; Argonne: Performance of the automatic film measuring system POLLY II

    CERN Multimedia

    1969-01-01

    Around the laboratories: Rutherford: Successful tests on bubble chamber target technique; Stanford (SLAC): New storage rings proposal; Berkeley: The HAPPE project to examine cosmic rays with superconducting magnets; The 60th birthday of Professor N.N. Bogolyubov; Argonne: Performance of the automatic film measuring system POLLY II

  14. Recognizing child maltreatment in Bangladesh.

    Science.gov (United States)

    Khan, N Z; Lynch, M A

    1997-08-01

    Concern is increasing in Bangladesh over child abuse, neglect, and exploitation. Children from all walks of life are being treated at the Child Development Center (CDC) Dhaka Shishu Hospital for neurodevelopmental problems resulting from abuse and neglect. Efforts to protect children from sexual harassment result in girls being isolated at home or married at an early age. Some young brides are eventually abandoned and forced into prostitution. Early marriage reflects the lack of acknowledgement of a period of adolescence and the belief that puberty is a marker of adulthood. Many girls aged 8-16 are employed as live-in domestic servants, and many suffer sexual as well as emotional abuse. Garment factories, on the other hand, offer girls an escape from extreme poverty, domestic service, and early marriage but are threatened by forces that condemn child labor. Rather than ending such opportunities, employers should be encouraged to provide employees with educational and welfare facilities. The CDC seeks to explore the extent and depth of the problem of child abuse while recognizing the special circumstances at work in Bangladesh. It is also necessary to raise awareness of these issues and of the discrepancies between the law and cultural practices. For example, the legal marriage age of 18 years for a woman and 21 years for a man is often ignored. Additional forms of abuse receiving the attention of women's organizations and human rights groups include the trafficking of children. A network of concerned organizations should be created to work against the child abuse, neglect, and exploitation that Bangladesh has pledged to overcome by signing the UN Convention on the Rights of the Child. PMID:9280385

  15. Automatic processing of dominance and submissiveness

    OpenAIRE

    Moors, Agnes; De Houwer, Jan

    2005-01-01

    We investigated whether people are able to detect in a relatively automatic manner the dominant or submissive status of persons engaged in social interactions. Using a variant of the affective Simon task (De Houwer & Eelen, 1998), we demonstrated that the verbal response DOMINANT or SUBMISSIVE was facilitated when it had to be made to a target person that was respectively dominant or submissive. These results provide new information about the automatic nature of appraisals and ...

  16. Recognizing foreground-background interaction

    Science.gov (United States)

    Jenkins, Jeffrey; Szu, Harold

    2010-04-01

    Can the background affect a foreground target in distant, low-quality imagery? If it does, it might occur in our mind, or perhaps it may represent a snapshot of our early vision. An affirmative answer, one way or another, may affect our current understanding of this phenomena and potentially for related applications. How can we be sure about this in the psycho-physical sense? We begin with the physiology of our brain's homeostasis, of which an isothermal equilibrium is characterized by the minimum of Helmholtz isothermal Free Energy: A = U - T0S >= 0, where T0 = 37°C, the Boltzmann Entropy S = KB1n(W), and U is the unknown internal energy to be computed.

  17. Distributed image processing for automatic target recognition

    Science.gov (United States)

    Cozien, Roger F.

    2001-02-01

    Our purpose is, in medium term, to detect in air images, characteristic shapes and objects such as airports, industrial plants, planes, tanks, trucks, . with great accuracy and low rate of mistakes. However, we also want to value whether the link between neural networks and multi-agents systems is relevant and effective. If it appears to be really effective, we hope to use this kind of technology in other fields. That would be an easy and convenient way to depict and to use the agents' knowledge which is distributed and fragmented. After a first phase of preliminary tests to know if agents are able to give relevant information to a neural network, we verify that only a few agents running on an image are enough to inform the network and let it generalize the agents' distributed and fragmented knowledge. In a second phase, we developed a distributed architecture allowing several multi-agents systems running at the same time on different computers with different images. All those agents send information to a "multi neural networks system" whose job is to identify the shapes detected by the agents. The name we gave to our project is Jarod.

  18. Arabic word recognizer for mobile applications

    Science.gov (United States)

    Khanna, Nitin; Abdollahian, Golnaz; Brame, Ben; Boutin, Mireille; Delp, Edward J.

    2011-03-01

    When traveling in a region where the local language is not written using a "Roman alphabet," translating written text (e.g., documents, road signs, or placards) is a particularly difficult problem since the text cannot be easily entered into a translation device or searched using a dictionary. To address this problem, we are developing the "Rosetta Phone," a handheld device (e.g., PDA or mobile telephone) capable of acquiring an image of the text, locating the region (word) of interest within the image, and producing both an audio and a visual English interpretation of the text. This paper presents a system targeted for interpreting words written in Arabic script. The goal of this work is to develop an autonomous, segmentation-free Arabic phrase recognizer, with computational complexity low enough to deploy on a mobile device. A prototype of the proposed system has been deployed on an iPhone with a suitable user interface. The system was tested on a number of noisy images, in addition to the images acquired from the iPhone's camera. It identifies Arabic words or phrases by extracting appropriate features and assigning "codewords" to each word or phrase. On a dictionary of 5,000 words, the system uniquely mapped (word-image to codeword) 99.9% of the words. The system has a 82% recognition accuracy on images of words captured using the iPhone's built-in camera.

  19. Automatic input rectification

    OpenAIRE

    Long, Fan; Ganesh, Vijay; Carbin, Michael James; Sidiroglou, Stelios; Rinard, Martin

    2012-01-01

    We present a novel technique, automatic input rectification, and a prototype implementation, SOAP. SOAP learns a set of constraints characterizing typical inputs that an application is highly likely to process correctly. When given an atypical input that does not satisfy these constraints, SOAP automatically rectifies the input (i.e., changes the input so that it satisfies the learned constraints). The goal is to automatically convert potentially dangerous inputs into typical inputs that the ...

  20. Automatic Fiscal Stabilizers

    Directory of Open Access Journals (Sweden)

    Narcis Eduard Mitu

    2013-11-01

    Full Text Available Policies or institutions (built into an economic system that automatically tend to dampen economic cycle fluctuations in income, employment, etc., without direct government intervention. For example, in boom times, progressive income tax automatically reduces money supply as incomes and spendings rise. Similarly, in recessionary times, payment of unemployment benefits injects more money in the system and stimulates demand. Also called automatic stabilizers or built-in stabilizers.

  1. Recognizing Variable Environments The Theory of Cognitive Prism

    CERN Document Server

    Dong, Tiansi

    2012-01-01

    Normal adults do not have any difficulty in recognizing their homes. But can artificial systems do in the same way as humans? This book collects interdisciplinary evidences and presents an answer from the perspective of computing, namely, the theory of cognitive prism. To recognize an environment, an intelligent system only needs to classify objects, structures them based on the connection relation (not through measuring!), subjectively orders the objects, and compares with the target environment, whose knowledge is similarly structured. The intelligent system works, therefore, like a prism: when a beam of light (a scene) reaches (is perceived) to an optical prism (by an intelligent system), some light (objects) is reflected (are neglected), those passed through (the recognized objects) are distorted (are ordered differently). So comes the term 'cognitive prism'! Two fundamental propositions used in the theory can be informally stated as follow: an orientation relation is a kind of distance comparison relatio...

  2. Automatic differentiation bibliography

    Energy Technology Data Exchange (ETDEWEB)

    Corliss, G.F. (comp.)

    1992-07-01

    This is a bibliography of work related to automatic differentiation. Automatic differentiation is a technique for the fast, accurate propagation of derivative values using the chain rule. It is neither symbolic nor numeric. Automatic differentiation is a fundamental tool for scientific computation, with applications in optimization, nonlinear equations, nonlinear least squares approximation, stiff ordinary differential equation, partial differential equations, continuation methods, and sensitivity analysis. This report is an updated version of the bibliography which originally appeared in Automatic Differentiation of Algorithms: Theory, Implementation, and Application.

  3. Automatic contrast: evidence that automatic comparison with the social self affects evaluative responses.

    Science.gov (United States)

    Ruys, Kirsten I; Spears, Russell; Gordijn, Ernestine H; de Vries, Nanne K

    2007-08-01

    The aim of the present research was to investigate whether unconsciously presented affective information may cause opposite evaluative responses depending on what social category the information originates from. We argue that automatic comparison processes between the self and the unconscious affective information produce this evaluative contrast effect. Consistent with research on automatic behaviour, we propose that when an intergroup context is activated, an automatic comparison to the social self may determine the automatic evaluative responses, at least for highly visible categories (e.g. sex, ethnicity). Contrary to previous research on evaluative priming, we predict automatic contrastive responses to affective information originating from an outgroup category such that the evaluative response to neutral targets is opposite to the valence of the suboptimal primes. Two studies using different intergroup contexts provide support for our hypotheses. PMID:17705936

  4. Techniques for automatic speech recognition

    Science.gov (United States)

    Moore, R. K.

    1983-05-01

    A brief insight into some of the algorithms that lie behind current automatic speech recognition system is provided. Early phonetically based approaches were not particularly successful, due mainly to a lack of appreciation of the problems involved. These problems are summarized, and various recognition techniques are reviewed in the contect of the solutions that they provide. It is pointed out that the majority of currently available speech recognition equipments employ a "whole-word' pattern matching approach which, although relatively simple, has proved particularly successful in its ability to recognize speech. The concepts of time-normalizing plays a central role in this type of recognition process and a family of such algorithms is described in detail. The technique of dynamic time warping is not only capable of providing good performance for isolated word recognition, but how it is also extended to the recognition of connected speech (thereby removing one of the most severe limitations of early speech recognition equipment).

  5. Application Accuracy of Automatic Registration in Frameless Stereotaxy

    OpenAIRE

    Rachinger, Jens; Keller, Boris von; Ganslandt, Oliver; Fahlbusch, Rudolf; Nimsky, Christopher

    2013-01-01

    Objective: We compared the application accuracy of an infrared- based neuronavigation system when used with a novel automatic registration with its application accuracy when standard fiducial-based registration is performed. Methods: The automatic referencing tool is based on markers that are integrated in the headrest holder we routinely use in our intraoperative magnetic resonance imaging (MRI) setting and can be detected by the navigation software automatically. For navigation targeting we...

  6. Annual review in automatic programming

    CERN Document Server

    Goodman, Richard

    2014-01-01

    Annual Review in Automatic Programming, Volume 2 is a collection of papers that discusses the controversy about the suitability of COBOL as a common business oriented language, and the development of different common languages for scientific computation. A couple of papers describes the use of the Genie system in numerical calculation and analyzes Mercury autocode in terms of a phrase structure language, such as in the source language, target language, the order structure of ATLAS, and the meta-syntactical language of the assembly program. Other papers explain interference or an ""intermediate

  7. Using Nanoinformatics Methods for Automatically Identifying Relevant Nanotoxicology Entities from the Literature

    Directory of Open Access Journals (Sweden)

    Miguel García-Remesal

    2013-01-01

    Full Text Available Nanoinformatics is an emerging research field that uses informatics techniques to collect, process, store, and retrieve data, information, and knowledge on nanoparticles, nanomaterials, and nanodevices and their potential applications in health care. In this paper, we have focused on the solutions that nanoinformatics can provide to facilitate nanotoxicology research. For this, we have taken a computational approach to automatically recognize and extract nanotoxicology-related entities from the scientific literature. The desired entities belong to four different categories: nanoparticles, routes of exposure, toxic effects, and targets. The entity recognizer was trained using a corpus that we specifically created for this purpose and was validated by two nanomedicine/nanotoxicology experts. We evaluated the performance of our entity recognizer using 10-fold cross-validation. The precisions range from 87.6% (targets to 93.0% (routes of exposure, while recall values range from 82.6% (routes of exposure to 87.4% (toxic effects. These results prove the feasibility of using computational approaches to reliably perform different named entity recognition (NER-dependent tasks, such as for instance augmented reading or semantic searches. This research is a “proof of concept” that can be expanded to stimulate further developments that could assist researchers in managing data, information, and knowledge at the nanolevel, thus accelerating research in nanomedicine.

  8. Using nanoinformatics methods for automatically identifying relevant nanotoxicology entities from the literature.

    Science.gov (United States)

    García-Remesal, Miguel; García-Ruiz, Alejandro; Pérez-Rey, David; de la Iglesia, Diana; Maojo, Víctor

    2013-01-01

    Nanoinformatics is an emerging research field that uses informatics techniques to collect, process, store, and retrieve data, information, and knowledge on nanoparticles, nanomaterials, and nanodevices and their potential applications in health care. In this paper, we have focused on the solutions that nanoinformatics can provide to facilitate nanotoxicology research. For this, we have taken a computational approach to automatically recognize and extract nanotoxicology-related entities from the scientific literature. The desired entities belong to four different categories: nanoparticles, routes of exposure, toxic effects, and targets. The entity recognizer was trained using a corpus that we specifically created for this purpose and was validated by two nanomedicine/nanotoxicology experts. We evaluated the performance of our entity recognizer using 10-fold cross-validation. The precisions range from 87.6% (targets) to 93.0% (routes of exposure), while recall values range from 82.6% (routes of exposure) to 87.4% (toxic effects). These results prove the feasibility of using computational approaches to reliably perform different named entity recognition (NER)-dependent tasks, such as for instance augmented reading or semantic searches. This research is a "proof of concept" that can be expanded to stimulate further developments that could assist researchers in managing data, information, and knowledge at the nanolevel, thus accelerating research in nanomedicine. PMID:23509721

  9. The Developmental Dimensions of Recognizing Racist Thoughts

    Science.gov (United States)

    Torres, Vasti

    2009-01-01

    This study focuses on understanding the developmental process that occurs when racist ideas are recognized as a part of college students' thought processes. Longitudinal data were collected from 29 Latino/a college students in order to illustrate how these students made meaning of racist thoughts when they began to recognize it. The framework of…

  10. Vitrification: Machines learn to recognize glasses

    Science.gov (United States)

    Ceriotti, Michele; Vitelli, Vincenzo

    2016-05-01

    The dynamics of a viscous liquid undergo a dramatic slowdown when it is cooled to form a solid glass. Recognizing the structural changes across such a transition remains a major challenge. Machine-learning methods, similar to those Facebook uses to recognize groups of friends, have now been applied to this problem.

  11. Neuroanatomical automatic segmentation in brain cancer patients

    OpenAIRE

    D’Haese, P.; Niermann, K; Cmelak, A.; Donnelly, E.; Duay, V.; Li, R; Dawant, B.

    2003-01-01

    Conformally prescribed radiation therapy for brain cancer requires precisely defining the target treatment area, as well as delineating vital brain structures which must be spared from radiotoxicity. The current clinical practice of manually segmenting brain structures can be complex and exceedingly time consuming. Automatic computeraided segmentation methods have been proposed to increase efficiency and reproducibility in developing radiation treatment plans. Previous studies have establishe...

  12. Anti-peptide aptamers recognize amino acid sequence and bind a protein epitope.

    OpenAIRE

    Xu, W; Ellington, A. D.

    1996-01-01

    In vitro selection of nucleic acid binding species (aptamers) is superficially similar to the immune response. Both processes produce biopolymers that can recognize targets with high affinity and specificity. While antibodies are known to recognize the sequence and conformation of protein surface features (epitopes), very little is known about the precise interactions between aptamers and their epitopes. Therefore, aptamers that could recognize a particular epitope, a peptide fragment of huma...

  13. Immune Cells in Blood Recognize Tumors

    Science.gov (United States)

    NCI scientists have developed a novel strategy for identifying immune cells circulating in the blood that recognize specific proteins on tumor cells, a finding they believe may have potential implications for immune-based therapies.

  14. Automatic Implantable Cardiac Defibrillator

    Medline Plus

    Full Text Available Automatic Implantable Cardiac Defibrillator February 19, 2009 Halifax Health Medical Center, Daytona Beach, FL Welcome to Halifax Health Daytona Beach, Florida. Over the next hour you' ...

  15. Automatic Payroll Deposit System.

    Science.gov (United States)

    Davidson, D. B.

    1979-01-01

    The Automatic Payroll Deposit System in Yakima, Washington's Public School District No. 7, directly transmits each employee's salary amount for each pay period to a bank or other financial institution. (Author/MLF)

  16. Automatic Arabic Text Classification

    OpenAIRE

    Al-harbi, S; Almuhareb, A.; Al-Thubaity , A; Khorsheed, M. S.; Al-Rajeh, A.

    2008-01-01

    Automated document classification is an important text mining task especially with the rapid growth of the number of online documents present in Arabic language. Text classification aims to automatically assign the text to a predefined category based on linguistic features. Such a process has different useful applications including, but not restricted to, e-mail spam detection, web page content filtering, and automatic message routing. This paper presents the results of experiments on documen...

  17. Automatic graphene transfer system for improved material quality and efficiency

    OpenAIRE

    Alberto Boscá; Jorge Pedrós; Javier Martínez; Tomás Palacios; Fernando Calle

    2015-01-01

    In most applications based on chemical vapor deposition (CVD) graphene, the transfer from the growth to the target substrate is a critical step for the final device performance. Manual procedures are time consuming and depend on handling skills, whereas existing automatic roll-to-roll methods work well for flexible substrates but tend to induce mechanical damage in rigid ones. A new system that automatically transfers CVD graphene to an arbitrary target substrate has been developed. The proce...

  18. Recognizing Thousands of Legal Entities through Instance-based Visual Classification

    OpenAIRE

    Leveau, Valentin; Joly, Alexis; Buisson, Olivier; Letessier, Pierre; Valduriez, Patrick

    2014-01-01

    This paper considers the problem of recognizing legal en-tities in visual contents in a similar way to named-entity recognizers for text documents. Whereas previous works were restricted to the recognition of a few tens of logotypes, we generalize the problem to the recognition of thousands of legal persons, each being modeled by a rich corporate identity automatically built from web images. We intro-duce a new geometrically-consistent instance-based classifi-cation method that is shown to ou...

  19. Automatic recognition of lactating sow behaviors through depth image processing

    Science.gov (United States)

    Manual observation and classification of animal behaviors is laborious, time-consuming, and of limited ability to process large amount of data. A computer vision-based system was developed that automatically recognizes sow behaviors (lying, sitting, standing, kneeling, feeding, drinking, and shiftin...

  20. Survey of evaluation methods in image complexity of target and background

    Science.gov (United States)

    Xiao, Bo; Duan, Jin; Zhu, Yong; Chen, Yanqin; Li, Guangming

    2015-10-01

    In the domain of target recognition, the image complexity of target and background is used to describe the difficult degree of extracting and recognizing target from complex background, which has important guiding significance and widely application prospect in a lot of domains such as biological medical, information encrypt, image compression, meteorological analysis, automatic target recognition. This paper comprehensively took the innate characteristics of target and the target local background characteristic into consideration, which affected the algorithm performance of target extraction and recognition, then made generalizations of three classes of evaluation methods: methods based on the target characteristic, including the target shape characteristic, the gray standard deviation of target pixels, the target Local background entropy difference, etc; methods based on the target similitude, including the edge profile and structural characteristic similitude between target and phony target; methods based on the background characteristic, including texture characteristic edge ratio, etc. And on this basis, we made research on the relationship of structural features and evaluation parameters, and analyzed the foundation and properties of each method by contrast. Thoughts and foresights of this field are given at the end of this paper.

  1. Weakly Supervised Models For Recognizing And Clustering High-level Complex Events In Video

    OpenAIRE

    Vahdat, Arash

    2014-01-01

    In the last decade, we have witnessed exponential growth of visual content in internet social media such as YouTube or Facebook. Developing automatic analysis tools is becoming essential to summarize and retrieve desired videos from a large collection on the internet. In this thesis, we propose frameworks for recognizing and clustering high-level events in unconstrained internet videos. The events considered here are complex events such as ``wedding ceremony'' or ``getting a vehicle unstuck''...

  2. Setswana Speech Recognizer for Computer Based Applications

    Directory of Open Access Journals (Sweden)

    Oratile Leteane

    2012-11-01

    Full Text Available This study is the development and adaptation of Setswana speech recognizer into computer applications. Setswana database is used together with sphinx decoder to build a generic Setswana speech recognizer. The recognizer is then adapted into a developed game called General Knowledge Game (GKG in which the user plays the game using Setswana speech. The developed recognizers level of accuracy was 60 percent on the worst case. The recognizer improves to more than 80 percent when shorter words are used to drive the application. Participants have shown that they prefer using speech driven applications over traditional approach of using mouse and keyboard. Analysis shows that though it is more effective to use keyboard and mouse to drive computer applications, users still prefer speech interaction because HCI method is easy to learn particularly for the users who are semi-literate and illiterate. It shows that using traditional approach (mouse and keyboard requires some degree of literacy for someone to be competent while with speech interaction, anyone can use

  3. Recognizing, Confronting, and Eliminating Workplace Bullying.

    Science.gov (United States)

    Berry, Peggy Ann; Gillespie, Gordon L; Fisher, Bonnie S; Gormley, Denise K

    2016-07-01

    Workplace bullying (WPB) behaviors negatively affect nurse productivity, satisfaction, and retention, and hinder safe patient care. The purpose of this article is to define WPB, differentiate between incivility and WPB, and recommend actions to prevent WPB behaviors. Informed occupational and environmental health nurses and nurse leaders must recognize, confront, and eliminate WPB in their facilities and organizations. Recognizing, confronting, and eliminating WPB behaviors in health care is a crucial first step toward sustained improvements in patient care quality and the health and safety of health care employees. PMID:27053288

  4. Recognizing textual entailment models and applications

    CERN Document Server

    Dagan, Ido; Sammons, Mark

    2013-01-01

    In the last few years, a number of NLP researchers have developed and participated in the task of Recognizing Textual Entailment (RTE). This task encapsulates Natural Language Understanding capabilities within a very simple interface: recognizing when the meaning of a text snippet is contained in the meaning of a second piece of text. This simple abstraction of an exceedingly complex problem has broad appeal partly because it can be conceived also as a component in other NLP applications, from Machine Translation to Semantic Search to Information Extraction. It also avoids commitment to any sp

  5. Two Systems for Automatic Music Genre Recognition

    DEFF Research Database (Denmark)

    Sturm, Bob L.

    2012-01-01

    trials of cross-validation. Second, we test the robustness of each system to spectral equalization. Finally, we test how well human subjects recognize the genres of music excerpts composed by each system to be highly genre representative. Our results suggest that neither high-performing system has a......We re-implement and test two state-of-the-art systems for automatic music genre classification; but unlike past works in this area, we look closer than ever before at their behavior. First, we look at specific instances where each system consistently applies the same wrong label across multiple...

  6. Automatic Program Development

    DEFF Research Database (Denmark)

    Automatic Program Development is a tribute to Robert Paige (1947-1999), our accomplished and respected colleague, and moreover our good friend, whose untimely passing was a loss to our academic and research community. We have collected the revised, updated versions of the papers published in his...... honor in the Higher-Order and Symbolic Computation Journal in the years 2003 and 2005. Among them there are two papers by Bob: (i) a retrospective view of his research lines, and (ii) a proposal for future studies in the area of the automatic program derivation. The book also includes some papers by...... members of the IFIP Working Group 2.1 of which Bob was an active member. All papers are related to some of the research interests of Bob and, in particular, to the transformational development of programs and their algorithmic derivation from formal specifications. Automatic Program Development offers a...

  7. Automatic utilities auditing

    Energy Technology Data Exchange (ETDEWEB)

    Smith, Colin Boughton [Energy Metering Technology (United Kingdom)

    2000-08-01

    At present, energy audits represent only snapshot situations of the flow of energy. The normal pattern of energy audits as seen through the eyes of an experienced energy auditor is described. A brief history of energy auditing is given. It is claimed that the future of energy auditing lies in automatic meter reading with expert data analysis providing continuous automatic auditing thereby reducing the skill element. Ultimately, it will be feasible to carry out auditing at intervals of say 30 minutes rather than five years.

  8. Automatic Camera Control

    DEFF Research Database (Denmark)

    Burelli, Paolo; Preuss, Mike

    2014-01-01

    Automatically generating computer animations is a challenging and complex problem with applications in games and film production. In this paper, we investigate howto translate a shot list for a virtual scene into a series of virtual camera configurations — i.e automatically controlling the virtual...... camera. We approach this problem by modelling it as a dynamic multi-objective optimisation problem and show how this metaphor allows a much richer expressiveness than a classical single objective approach. Finally, we showcase the application of a multi-objective evolutionary algorithm to generate a shot...

  9. Automatic text summarization

    CERN Document Server

    Torres Moreno, Juan Manuel

    2014-01-01

    This new textbook examines the motivations and the different algorithms for automatic document summarization (ADS). We performed a recent state of the art. The book shows the main problems of ADS, difficulties and the solutions provided by the community. It presents recent advances in ADS, as well as current applications and trends. The approaches are statistical, linguistic and symbolic. Several exemples are included in order to clarify the theoretical concepts.  The books currently available in the area of Automatic Document Summarization are not recent. Powerful algorithms have been develop

  10. Engineering alumnus John Sparks recognized for contributions

    OpenAIRE

    Nystrom, Lynn A.

    2008-01-01

    Virginia Tech's College of Engineering presented its 2008 Distinguished Service Award to mechanical engineering alumnus John Sparks, director of engineering and technology programs at Aerojet, a GenCorp Inc. company, recognized as a major space and defense leader specializing in missile and space propulsion as well as defense and armaments.

  11. Automatic Implantable Cardiac Defibrillator

    Medline Plus

    Full Text Available ... chronic obstructive lung disease or emphysema, automobile or accidents of all kind, diabetes -- all combined. You put ... up in an emergency room -- say an automobile accident or something -- and somebody recognizes there’s a pacemaker ...

  12. Special hydrogen target (Prop. 210)

    International Nuclear Information System (INIS)

    This guide contains a description of the electrical control and automatic vacuum systems for the Special Hydrogen Target (Prop. 210) together with the flow diagram and the mimic control panel layout for the system. (U.K.)

  13. Automatic Dance Lesson Generation

    Science.gov (United States)

    Yang, Yang; Leung, H.; Yue, Lihua; Deng, LiQun

    2012-01-01

    In this paper, an automatic lesson generation system is presented which is suitable in a learning-by-mimicking scenario where the learning objects can be represented as multiattribute time series data. The dance is used as an example in this paper to illustrate the idea. Given a dance motion sequence as the input, the proposed lesson generation…

  14. Automatic Complexity Analysis

    DEFF Research Database (Denmark)

    Rosendahl, Mads

    1989-01-01

    One way to analyse programs is to to derive expressions for their computational behaviour. A time bound function (or worst-case complexity) gives an upper bound for the computation time as a function of the size of input. We describe a system to derive such time bounds automatically using abstract...

  15. Automatic detection of abnormalities in mammograms

    OpenAIRE

    Suhail, Zobia; Sarwar, Mansoor; Murtaza, Kashif

    2015-01-01

    Background In recent years, an increased interest has been seen in the area of medical image processing and, as a consequence, Computer Aided Diagnostic (CAD) systems. The basic purpose of CAD systems is to assist doctors in the process of diagnosis. CAD systems, however, are quite expensive, especially, in most of the developing countries. Our focus is on developing a low-cost CAD system. Today, most of the CAD systems regarding mammogram classification target automatic detection of calcific...

  16. Recognizing frequency characteristics of gas sensor array

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    A novel method based on independent component analyzing (ICA) in frequency domain to distinguish the frequency characteristics of multi-sensor system is presented. The conditions of this type of ICA are considered and each step of resolving the problem is discussed. For a two gas sensor array, the frequency characteristics including amplitude-frequency and phase-frequency are recognized by this method, and cross-sensitivity between them is also eliminated. From the principle of similarity, the recognition m...

  17. How does a dictation machine recognize speech?

    OpenAIRE

    Dutoit, T.; Couvreur, L.; Bourlard, Hervé

    2008-01-01

    There is magic (or is it witchcraft?) in a speech recognizer that transcribes continuous radio speech into text with a word accuracy of even not more than 50%. The extreme difficulty of this task, tough, is usually not perceived by the general public. This is because we are almost deaf to the infinite acoustic variations that accompany the production of vocal sounds, which arise from physiological constraints (co-articulation), but also from the acoustic environment (additive or convolutional...

  18. Textual Entailment Recognizing by Theorem Proving Approach

    CERN Document Server

    Tatar, Doina

    2008-01-01

    In this paper we present two original methods for recognizing textual inference. First one is a modified resolution method such that some linguistic considerations are introduced in the unification of two atoms. The approach is possible due to the recent methods of transforming texts in logic formulas. Second one is based on semantic relations in text, as presented in WordNet. Some similarities between these two methods are remarked.

  19. Siamangs (Hylobates syndactylus) Recognize their Mirror Image

    OpenAIRE

    Heschl, Adolf; Fuchsbichler, Conny

    2009-01-01

    The ability to recognize oneself in the mirror is assumed to represent an important step towards a higher level of animal intelligence that, ultimately, can lead to human-like self-awareness and empathy. Even though rarely successful in the classical mark test, the siamang’s spontaneous behavior in front of the mirror, a visually controlled manipulation of its face, suggests that it interprets the reflection as belonging to itself. As a consequence, the cognitive status of the gibbons may nee...

  20. Recognizing team formation in american football

    KAUST Repository

    Atmosukarto, Indriyati

    2014-01-01

    Most existing software packages for sports video analysis require manual annotation of important events in the video. Despite being the most popular sport in the United States, most American football game analysis is still done manually. Line of scrimmage and offensive team formation recognition are two statistics that must be tagged by American Football coaches when watching and evaluating past play video clips, a process which takesmanyman hours per week. These two statistics are the building blocks for more high-level analysis such as play strategy inference and automatic statistic generation. In this chapter, we propose a novel framework where given an American football play clip, we automatically identify the video frame in which the offensive team lines in formation (formation frame), the line of scrimmage for that play, and the type of player formation the offensive team takes on. The proposed framework achieves 95% accuracy in detecting the formation frame, 98% accuracy in detecting the line of scrimmage, and up to 67%accuracy in classifying the offensive team’s formation. To validate our framework, we compiled a large dataset comprising more than 800 play-clips of standard and high definition resolution from real-world football games. This dataset will be made publicly available for future comparison.

  1. Automatic indexing, compiling and classification

    International Nuclear Information System (INIS)

    A review of the principles of automatic indexing, is followed by a comparison and summing-up of work by the authors and by a Soviet staff from the Moscou INFORM-ELECTRO Institute. The mathematical and linguistic problems of the automatic building of thesaurus and automatic classification are examined

  2. The automatic NMR gaussmeter

    International Nuclear Information System (INIS)

    The paper describes the automatic gaussmeter operating according to the principle of nuclear magnetic resonance. There have been discussed the operating principle, the block diagram and operating parameters of the meter. It can be applied to measurements of induction in electromagnets of wide-line radio-spectrometers EPR and NMR and in calibration stands of magnetic induction values. Frequency range of an autodyne oscillator from 0,6 up to 86 MHz for protons is corresponding to the field range from 0.016 up to 2T. Applicaton of other nuclei, such as 7Li and 2D is also foreseen. The induction measurement is carried over automatically, and the NMR signal and value of measured induction are displayed on a monitor screen. (author)

  3. Automatic trend estimation

    CERN Document Server

    Vamos¸, C˘alin

    2013-01-01

    Our book introduces a method to evaluate the accuracy of trend estimation algorithms under conditions similar to those encountered in real time series processing. This method is based on Monte Carlo experiments with artificial time series numerically generated by an original algorithm. The second part of the book contains several automatic algorithms for trend estimation and time series partitioning. The source codes of the computer programs implementing these original automatic algorithms are given in the appendix and will be freely available on the web. The book contains clear statement of the conditions and the approximations under which the algorithms work, as well as the proper interpretation of their results. We illustrate the functioning of the analyzed algorithms by processing time series from astrophysics, finance, biophysics, and paleoclimatology. The numerical experiment method extensively used in our book is already in common use in computational and statistical physics.

  4. Automatic Wall Painting Robot

    OpenAIRE

    P.KEERTHANAA, K.JEEVITHA, V.NAVINA, G.INDIRA, S.JAYAMANI

    2013-01-01

    The Primary Aim Of The Project Is To Design, Develop And Implement Automatic Wall Painting Robot Which Helps To Achieve Low Cost Painting Equipment. Despite The Advances In Robotics And Its Wide Spreading Applications, Interior Wall Painting Has Shared Little In Research Activities. The Painting Chemicals Can Cause Hazards To The Human Painters Such As Eye And Respiratory System Problems. Also The Nature Of Painting Procedure That Requires Repeated Work And Hand Rising Makes It Boring, Time A...

  5. Automatic Program Reports

    OpenAIRE

    Lígia Maria da Silva Ribeiro; Gabriel de Sousa Torcato David

    2007-01-01

    To profit from the data collected by the SIGARRA academic IS, a systematic setof graphs and statistics has been added to it and are available on-line. Thisanalytic information can be automatically included in a flexible yearly report foreach program as well as in a synthesis report for the whole school. Somedifficulties in the interpretation of some graphs led to the definition of new keyindicators and the development of a data warehouse across the university whereeffective data consolidation...

  6. Automatic Inductive Programming Tutorial

    OpenAIRE

    Aler, Ricardo

    2006-01-01

    Computers that can program themselves is an old dream of Artificial Intelligence, but only nowadays there is some progress of remark. In relation to Machine Learning, a computer program is the most powerful structure that can be learned, pushing the final goal well beyond neural networks or decision trees. There are currently many separate areas, working independently, related to automatic programming, both deductive and inductive. The first goal of this tutorial is to give to the attendants ...

  7. Automatic food decisions

    DEFF Research Database (Denmark)

    Mueller Loose, Simone

    Consumers' food decisions are to a large extent shaped by automatic processes, which are either internally directed through learned habits and routines or externally influenced by context factors and visual information triggers. Innovative research methods such as eye tracking, choice experiments...... and food diaries allow us to better understand the impact of unconscious processes on consumers' food choices. Simone Mueller Loose will provide an overview of recent research insights into the effects of habit and context on consumers' food choices....

  8. Automatic Differentiation Variational Inference

    OpenAIRE

    Kucukelbir, Alp; Tran, Dustin; Ranganath, Rajesh; Gelman, Andrew; Blei, David M.

    2016-01-01

    Probabilistic modeling is iterative. A scientist posits a simple model, fits it to her data, refines it according to her analysis, and repeats. However, fitting complex models to large data is a bottleneck in this process. Deriving algorithms for new models can be both mathematically and computationally challenging, which makes it difficult to efficiently cycle through the steps. To this end, we develop automatic differentiation variational inference (ADVI). Using our method, the scientist on...

  9. Automaticity or active control

    DEFF Research Database (Denmark)

    Tudoran, Ana Alina; Olsen, Svein Ottar

    This study addresses the quasi-moderating role of habit strength in explaining action loyalty. A model of loyalty behaviour is proposed that extends the traditional satisfaction–intention–action loyalty network. Habit strength is conceptualised as a cognitive construct to refer to the psychologic......, respectively, between intended loyalty and action loyalty. At high levels of habit strength, consumers are more likely to free up cognitive resources and incline the balance from controlled to routine and automatic-like responses....

  10. Automatic digital image registration

    Science.gov (United States)

    Goshtasby, A.; Jain, A. K.; Enslin, W. R.

    1982-01-01

    This paper introduces a general procedure for automatic registration of two images which may have translational, rotational, and scaling differences. This procedure involves (1) segmentation of the images, (2) isolation of dominant objects from the images, (3) determination of corresponding objects in the two images, and (4) estimation of transformation parameters using the center of gravities of objects as control points. An example is given which uses this technique to register two images which have translational, rotational, and scaling differences.

  11. Real-time automatic registration in optical surgical navigation

    Science.gov (United States)

    Lin, Qinyong; Yang, Rongqian; Cai, Ken; Si, Xuan; Chen, Xiuwen; Wu, Xiaoming

    2016-05-01

    An image-guided surgical navigation system requires the improvement of the patient-to-image registration time to enhance the convenience of the registration procedure. A critical step in achieving this aim is performing a fully automatic patient-to-image registration. This study reports on a design of custom fiducial markers and the performance of a real-time automatic patient-to-image registration method using these markers on the basis of an optical tracking system for rigid anatomy. The custom fiducial markers are designed to be automatically localized in both patient and image spaces. An automatic localization method is performed by registering a point cloud sampled from the three dimensional (3D) pedestal model surface of a fiducial marker to each pedestal of fiducial markers searched in image space. A head phantom is constructed to estimate the performance of the real-time automatic registration method under four fiducial configurations. The head phantom experimental results demonstrate that the real-time automatic registration method is more convenient, rapid, and accurate than the manual method. The time required for each registration is approximately 0.1 s. The automatic localization method precisely localizes the fiducial markers in image space. The averaged target registration error for the four configurations is approximately 0.7 mm. The automatic registration performance is independent of the positions relative to the tracking system and the movement of the patient during the operation.

  12. ANPS - AUTOMATIC NETWORK PROGRAMMING SYSTEM

    Science.gov (United States)

    Schroer, B. J.

    1994-01-01

    Development of some of the space program's large simulation projects -- like the project which involves simulating the countdown sequence prior to spacecraft liftoff -- requires the support of automated tools and techniques. The number of preconditions which must be met for a successful spacecraft launch and the complexity of their interrelationship account for the difficulty of creating an accurate model of the countdown sequence. Researchers developed ANPS for the Nasa Marshall Space Flight Center to assist programmers attempting to model the pre-launch countdown sequence. Incorporating the elements of automatic programming as its foundation, ANPS aids the user in defining the problem and then automatically writes the appropriate simulation program in GPSS/PC code. The program's interactive user dialogue interface creates an internal problem specification file from user responses which includes the time line for the countdown sequence, the attributes for the individual activities which are part of a launch, and the dependent relationships between the activities. The program's automatic simulation code generator receives the file as input and selects appropriate macros from the library of software modules to generate the simulation code in the target language GPSS/PC. The user can recall the problem specification file for modification to effect any desired changes in the source code. ANPS is designed to write simulations for problems concerning the pre-launch activities of space vehicles and the operation of ground support equipment and has potential for use in developing network reliability models for hardware systems and subsystems. ANPS was developed in 1988 for use on IBM PC or compatible machines. The program requires at least 640 KB memory and one 360 KB disk drive, PC DOS Version 2.0 or above, and GPSS/PC System Version 2.0 from Minuteman Software. The program is written in Turbo Prolog Version 2.0. GPSS/PC is a trademark of Minuteman Software. Turbo Prolog

  13. An Efficient Approach to Recognize Fingerprints

    Directory of Open Access Journals (Sweden)

    Muhammad Sheikh Sadi

    2012-10-01

    Full Text Available Fingerprint analysis is typically based on the position and pattern of detected singular points in the fingerprint images. These singular points (cores and deltas represent the characteristics of local ridge patterns, determine the topological structure (i.e., fingerprint type and largely influence the orientation field. A core-delta relation is used as a global constraint for the final selection of singular points. This paper proposed an approach for singular points detection and then recognizes fingerprints based on singular points position and their relative distances. Experimental results show that the approach is efficient and robust, giving better results than existing dominant approaches.

  14. Recognizing frequency characteristics of gas sensor array

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    A novel method based on independent component analyzing (ICA) in frequency domain to distinguish the frequency characteristics of multi-sensor system is presented. The conditions of this type of ICA are considered and each step of resolving the problem is discussed. For a two gas sensor array, the frequency characteristics including amplitude-frequency and phase-frequency are recognized by this method, and cross-sensitivity between them is also eliminated. From the principle of similarity, the recognition mean square error is no more than 0.085.

  15. Automatic Implantable Cardiac Defibrillator

    Medline Plus

    Full Text Available ... metal device again. And when you walk through security you'll set off the security alarms probably. And so somebody wants to know ... are recognized and honored very, very clearly at security checkpoints. And you just present them, explain the ...

  16. Automatic registration of laser-scanned point clouds based on planar features

    Science.gov (United States)

    Li, Minglei; Gao, Xinyuan; Wang, Li; Li, Guangyun

    2016-03-01

    Automatic multistation registration of laser-scanned point clouds is a research hotspot in laser-scanned point clouds registration. Some targets such as common buildings have plenty of planar features, and using these features as constraints properly can bring about high accuracy registration results. Starting from this, a new automatic multistation registration method using homologous planar features of two scan stations was proposed. In order to recognize planes from different scan stations and get plane equations in corresponding scan station coordinate systems, k-means dynamic clustering method was improved to be adaptive and robust. And to match the homologous planes of the two scan stations, two different procedures were proposed, respectively, one of which was based on the "common" relationship between planes and the other referenced RANSAC algorithm. And the transformation parameters of the two scan station coordinate systems were calculated after homologous plane matching. Finally, the transformation parameters based on the optimal match of planes was adopted as the final registration result. Comparing with ICP algorithm in experiment, the method is proved to be effective.

  17. Traceability Through Automatic Program Generation

    Science.gov (United States)

    Richardson, Julian; Green, Jeff

    2003-01-01

    Program synthesis is a technique for automatically deriving programs from specifications of their behavior. One of the arguments made in favour of program synthesis is that it allows one to trace from the specification to the program. One way in which traceability information can be derived is to augment the program synthesis system so that manipulations and calculations it carries out during the synthesis process are annotated with information on what the manipulations and calculations were and why they were made. This information is then accumulated throughout the synthesis process, at the end of which, every artifact produced by the synthesis is annotated with a complete history relating it to every other artifact (including the source specification) which influenced its construction. This approach requires modification of the entire synthesis system - which is labor-intensive and hard to do without influencing its behavior. In this paper, we introduce a novel, lightweight technique for deriving traceability from a program specification to the corresponding synthesized code. Once a program has been successfully synthesized from a specification, small changes are systematically made to the specification and the effects on the synthesized program observed. We have partially automated the technique and applied it in an experiment to one of our program synthesis systems, AUTOFILTER, and to the GNU C compiler, GCC. The results are promising: 1. Manual inspection of the results indicates that most of the connections derived from the source (a specification in the case of AUTOFILTER, C source code in the case of GCC) to its generated target (C source code in the case of AUTOFILTER, assembly language code in the case of GCC) are correct. 2. Around half of the lines in the target can be traced to at least one line of the source. 3. Small changes in the source often induce only small changes in the target.

  18. High pressure gas target

    Science.gov (United States)

    Gelbart, W.; Johnson, R. R.; Abeysekera, B.

    2012-12-01

    Compact, high pressure, high current gas target features all metal construction and semi-automatic window assembly change. The unique aspect of this target is the domed-shaped window. The Havar alloy window is electron beam welded to a metal ring, thus forming one, interchangeable assembly. The window assembly is sealed by knife-edges locked by a pneumatic toggle allowing a quick, in situ window change.

  19. Automatic Facial Expression Recognition Based on Hybrid Approach

    Directory of Open Access Journals (Sweden)

    Ali K. K. Bermani

    2012-12-01

    Full Text Available The topic of automatic recognition of facial expressions deduce a lot of researchers in the late last century and has increased a great interest in the past few years. Several techniques have emerged in order to improve the efficiency of the recognition by addressing problems in face detection and extraction features in recognizing expressions. This paper has proposed automatic system for facial expression recognition which consists of hybrid approach in feature extraction phase which represent a combination between holistic and analytic approaches by extract 307 facial expression features (19 features by geometric, 288 feature by appearance. Expressions recognition is performed by using radial basis function (RBF based on artificial neural network to recognize the six basic emotions (anger, fear, disgust, happiness, surprise, sadness in addition to the natural.The system achieved recognition rate 97.08% when applying on person-dependent database and 93.98% when applying on person-independent.

  20. Novel Moment Features Extraction for Recognizing Handwritten Arabic Letters

    Directory of Open Access Journals (Sweden)

    Gheith Abandah

    2009-01-01

    Full Text Available Problem statement: Offline recognition of handwritten Arabic text awaits accurate recognition solutions. Most of the Arabic letters have secondary components that are important in recognizing these letters. However these components have large writing variations. We targeted enhancing the feature extraction stage in recognizing handwritten Arabic text. Approach: In this study, we proposed a novel feature extraction approach of handwritten Arabic letters. Pre-segmented letters were first partitioned into main body and secondary components. Then moment features were extracted from the whole letter as well as from the main body and the secondary components. Using multi-objective genetic algorithm, efficient feature subsets were selected. Finally, various feature subsets were evaluated according to their classification error using an SVM classifier. Results: The proposed approach improved the classification error in all cases studied. For example, the improvements of 20-feature subsets of normalized central moments and Zernike moments were 15 and 10%, respectively. Conclusion/Recommendations: Extracting and selecting statistical features from handwritten Arabic letters, their main bodies and their secondary components provided feature subsets that give higher recognition accuracies compared to the subsets of the whole letters alone.

  1. Rule Based System for Recognizing Emotions Using Multimodal Approach

    Directory of Open Access Journals (Sweden)

    Preeti Khanna

    2013-08-01

    Full Text Available Emotion is assuming increasing importance in human computer interaction (HCI, in general, with the growing feeling that emotion is central to human communication and intelligence. Users expect not just functionality as a factor of usability, but experiences, matched to their expectations, emotional states, and interaction goals. Endowing computers with this kind of intelligence for HCI is a complex task. It becomes more complex with the fact that the interaction of humans with their environment (including other humans is naturally multimodal. In reality, one uses a combination of modalities and they are not treated independently. In an attempt to render HCI more similar to human-human communication and enhance its naturalness, research on multiple modalities of human expressions has seen ongoing progress in the past few years. As compared to unimodal approaches, various problems arise in case of multimodal emotion recognition especially concerning fusion architecture of multimodal information. In this paper we will be proposing a rule based hybrid approach to combine the information from various sources for recognizing the target emotions. The results presented in this paper shows that it is feasible to recognize human affective states with a reasonable accuracy by combining the modalities together using rule based system.

  2. Automatic radioactive waste recycling

    International Nuclear Information System (INIS)

    The production of a plutonium ingot by calcium reduction process at CEA/Valduc generates a residue called 'slag'. This article introduces the recycling unit which is dedicated to the treatment of slags. The aim is to separate and to recycle the plutonium trapped in this bulk on the one hand, and to generate a disposable waste from the slag on the other hand. After a general introduction of the facilities, some elements will be enlightened, particularly the dissolution step, the filtration and the drying equipment. Reflections upon technological constraints will be proposed, and the benefits of a fully automatic recycling unit of nuclear waste will also be stressed. (authors)

  3. Automatic Configuration in NTP

    Institute of Scientific and Technical Information of China (English)

    Jiang Zongli(蒋宗礼); Xu Binbin

    2003-01-01

    NTP is nowadays the most widely used distributed network time protocol, which aims at synchronizing the clocks of computers in a network and keeping the accuracy and validation of the time information which is transmitted in the network. Without automatic configuration mechanism, the stability and flexibility of the synchronization network built upon NTP protocol are not satisfying. P2P's resource discovery mechanism is used to look for time sources in a synchronization network, and according to the network environment and node's quality, the synchronization network is constructed dynamically.

  4. 46 CFR 160.049-8 - Recognized laboratory.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 6 2010-10-01 2010-10-01 false Recognized laboratory. 160.049-8 Section 160.049-8... Recognized laboratory. (a) A manufacturer seeking Coast Guard approval of a product under this subpart shall... to a recognized independent laboratory. The following laboratories are recognized under §...

  5. 46 CFR 162.039-5 - Recognized laboratory.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 6 2010-10-01 2010-10-01 false Recognized laboratory. 162.039-5 Section 162.039-5... Recognized laboratory. (a) A recognized laboratory is one which is regularly engaged in the examination... motorboats. The following laboratories are recognized, and the semiportable fire extinguishers bearing...

  6. 46 CFR 160.048-8 - Recognized laboratory.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 6 2010-10-01 2010-10-01 false Recognized laboratory. 160.048-8 Section 160.048-8... Recognized laboratory. (a) A manufacturer seeking Coast Guard approval of a product under this subpart shall... to a recognized independent laboratory. The following laboratories are recognized under §...

  7. 46 CFR 160.077-9 - Recognized laboratory.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 6 2010-10-01 2010-10-01 false Recognized laboratory. 160.077-9 Section 160.077-9... Recognized laboratory. (a) A manufacturer seeking Coast Guard approval of a product under this subpart shall... to a recognized independent laboratory. The following laboratories are recognized under §...

  8. Design and realization of dynamic target tracking and automatic close-up snapshot%动态目标跟踪与自动特写快照系统的设计及实现

    Institute of Scientific and Technical Information of China (English)

    盛平; 倪冬玮; 张净

    2011-01-01

    The existing dynamic target tracking and snapshot system is difficult to meet the requirements of clear, reliable, real-time and accurate tracking capture simultaneously. To solve the problem , this paper proposes a new dynamic target tracking and snapshot system which is more practical and less complex. A fast mixture Gaussian background difference method is adopted to segment the moving object, and accurate target positioning is obtained by the project method. Besides, in order to achieve the purpose of dynamic tracking, the methods of Kalman filter and template matching are both applied by combining with the method of pan-tilt-zoom (PTZ) camera calibration. Meanwhile, in the PTZ tracking process, on the basis of the extreme value of gradient and the actual motion vector of the target, a method to realize the adaptive capture of clear snapshot of objectives is proposed. In VC + +environment, the human body is taken as the moving target for testing. The experimental results indicate that this system has realized the purpose of dynamic target tracking and snapshot, and also has advantages of real-time, clarity and robustness.%针对现有动态跟踪和快照系统难以同时满足清晰、可靠、实时、准确的跟踪抓拍要求的缺点,提出了一种复杂度较低的新型实用动态跟踪和快照系统.采用一种快速的混合高斯背景差分法分割出运动目标,并使用投影法实现目标的精确定位;然后采用Kalman滤波与模板匹配的方法,结合摄像机标定结果进行云台控制实现动态跟踪;同时,在PTZ跟踪过程中,提出一种基于梯度极值结合目标实际运动矢量的方法实现目标快照的抓拍.在VC ++环境中,以人体为运动目标进行测试,实验结果表明该系统实现了运动目标的动态跟踪与快照,并且具有很好的鲁棒性、实时性和清晰度.

  9. Recognizing limitations in eddy current testing

    International Nuclear Information System (INIS)

    This paper addresses known limitations and constraints in eddy current nondestructive testing. Incomplete appreciation for eddy current limitations is believed to have contributed to both under-utilization and misapplication of the technique. Neither situation need arise if known limitations are recognized. Some, such as the skin depth effect, are inherent to electromagnetic test methods and define the role of eddy current testing. Others can be overcome with available technology such as surface probes to find circumferential cracks in tubes and magnetic saturation of ferromagnetic alloys to eliminate permeability effects. The variables responsible for limitations in eddy current testing are discussed and where alternative approaches exist, these are presented. Areas with potential for further research and development are also identified

  10. Automatic personnel contamination monitor

    International Nuclear Information System (INIS)

    United Nuclear Industries, Inc. (UNI) has developed an automatic personnel contamination monitor (APCM), which uniquely combines the design features of both portal and hand and shoe monitors. In addition, this prototype system also has a number of new features, including: micro computer control and readout, nineteen large area gas flow detectors, real-time background compensation, self-checking for system failures, and card reader identification and control. UNI's experience in operating the Hanford N Reactor, located in Richland, Washington, has shown the necessity of automatically monitoring plant personnel for contamination after they have passed through the procedurally controlled radiation zones. This final check ensures that each radiation zone worker has been properly checked before leaving company controlled boundaries. Investigation of the commercially available portal and hand and shoe monitors indicated that they did not have the sensitivity or sophistication required for UNI's application, therefore, a development program was initiated, resulting in the subject monitor. Field testing shows good sensitivity to personnel contamination with the majority of alarms showing contaminants on clothing, face and head areas. In general, the APCM has sensitivity comparable to portal survey instrumentation. The inherit stand-in, walk-on feature of the APCM not only makes it easy to use, but makes it difficult to bypass. (author)

  11. Pattern-Driven Automatic Parallelization

    Directory of Open Access Journals (Sweden)

    Christoph W. Kessler

    1996-01-01

    Full Text Available This article describes a knowledge-based system for automatic parallelization of a wide class of sequential numerical codes operating on vectors and dense matrices, and for execution on distributed memory message-passing multiprocessors. Its main feature is a fast and powerful pattern recognition tool that locally identifies frequently occurring computations and programming concepts in the source code. This tool also works for dusty deck codes that have been "encrypted" by former machine-specific code transformations. Successful pattern recognition guides sophisticated code transformations including local algorithm replacement such that the parallelized code need not emerge from the sequential program structure by just parallelizing the loops. It allows access to an expert's knowledge on useful parallel algorithms, available machine-specific library routines, and powerful program transformations. The partially restored program semantics also supports local array alignment, distribution, and redistribution, and allows for faster and more exact prediction of the performance of the parallelized target code than is usually possible.

  12. Recognizing obesity and comorbidities in sparse data.

    Science.gov (United States)

    Uzuner, Ozlem

    2009-01-01

    In order to survey, facilitate, and evaluate studies of medical language processing on clinical narratives, i2b2 (Informatics for Integrating Biology to the Bedside) organized its second challenge and workshop. This challenge focused on automatically extracting information on obesity and fifteen of its most common comorbidities from patient discharge summaries. For each patient, obesity and any of the comorbidities could be Present, Absent, or Questionable (i.e., possible) in the patient, or Unmentioned in the discharge summary of the patient. i2b2 provided data for, and invited the development of, automated systems that can classify obesity and its comorbidities into these four classes based on individual discharge summaries. This article refers to obesity and comorbidities as diseases. It refers to the categories Present, Absent, Questionable, and Unmentioned as classes. The task of classifying obesity and its comorbidities is called the Obesity Challenge. The data released by i2b2 was annotated for textual judgments reflecting the explicitly reported information on diseases, and intuitive judgments reflecting medical professionals' reading of the information presented in discharge summaries. There were very few examples of some disease classes in the data. The Obesity Challenge paid particular attention to the performance of systems on these less well-represented classes. A total of 30 teams participated in the Obesity Challenge. Each team was allowed to submit two sets of up to three system runs for evaluation, resulting in a total of 136 submissions. The submissions represented a combination of rule-based and machine learning approaches. Evaluation of system runs shows that the best predictions of textual judgments come from systems that filter the potentially noisy portions of the narratives, project dictionaries of disease names onto the remaining text, apply negation extraction, and process the text through rules. Information on disease-related concepts

  13. Development of NATO's recognized environmental picture

    Science.gov (United States)

    Teufert, John F.; Trabelsi, Mourad

    2006-05-01

    An important element for the fielding of a viable, effective NATO Response Force (NRF) is access to meteorological, oceanographic, geospatial data (GEOMETOC) and imagery. Currently, the available GEOMETOC information suffers from being very fragmented. NATO defines the Recognised Environmental Picture as controlled information base for GEOMETOC data. The NATO REP proposes an architecture that is both flexible and open. The focus lies on enabling a network-centric approach. The key into achieving this is relying on using open, well recognized standards that apply to both the data exchange protocols and the data formats. Communication and information exchange based on open standards enables system interoperability. Diverse systems, each with unique, specialized contributions to an increased understanding of the battlespace, can now cooperate to a manageable information sphere. By clearly defining responsibilities in the generation of information, a reduction in data transfer overhead is achieved . REP identifies three main stages in the dissemination of GEOMETOC data. These are Collection, Fusion (and Analysis) and Publication. A REP architecture has been successfully deployed during the NATO Coalition Warrior Interoperability Demonstration (CWID) in Lillehammer, Norway during June 2005. CWID is an annual event to validate and improve the interoperability of NATO and national Consultation and command, control, communications, computers, intelligence, surveillance, and reconnaissance (C4ISR) systems. With a test case success rate of 84%, it was able to provide relevant GEOMETOC support to the main NRF component headquarters. In 2006, the REP architecture will be deployed and validated during the NATO NRF Steadfast live exercises.

  14. Recognizing and identifying people: A neuropsychological review.

    Science.gov (United States)

    Barton, Jason J S; Corrow, Sherryse L

    2016-02-01

    Recognizing people is a classic example of a cognitive function that involves multiple processing stages and parallel routes of information. Neuropsychological data have provided important evidence for models of this process, particularly from case reports; however, the quality and extent of the data varies widely between studies. In this review we first discuss the requirements and logical basis of the types of neuropsychological evidence to support conclusions about the modules in this process. We then survey the adequacy of the current body of reports to address two key issues. First is the question of which cognitive operation generates a sense of familiarity: the current debate revolves around whether familiarity arises in modality-specific recognition units or later amodal processes. Key evidence on this point comes from the search for dissociations between familiarity for faces, voices and names. The second question is whether lesions can differentially affect the abilities to link diverse sources of person information (e.g., face, voice, name, biographic data). Dissociations of these linkages may favor a 'distributed-only' model of the organization of semantic knowledge, whereas a 'person-hub' model would predict uniform impairments of all linkages. While we conclude that there is reasonable evidence for dissociations in name, voice and face familiarity in regards to the first question, the evidence for or against dissociated linkages between information stores in regards to the second question is tenuous at best. We identify deficiencies in the current literature that should motivate and inform the design of future studies. PMID:26773237

  15. Artificial Immune System for Recognizing Patterns

    Science.gov (United States)

    Huntsberger, Terrance

    2005-01-01

    A method of recognizing or classifying patterns is based on an artificial immune system (AIS), which includes an algorithm and a computational model of nonlinear dynamics inspired by the behavior of a biological immune system. The method has been proposed as the theoretical basis of the computational portion of a star-tracking system aboard a spacecraft. In that system, a newly acquired star image would be treated as an antigen that would be matched by an appropriate antibody (an entry in a star catalog). The method would enable rapid convergence, would afford robustness in the face of noise in the star sensors, would enable recognition of star images acquired in any sensor or spacecraft orientation, and would not make an excessive demand on the computational resources of a typical spacecraft. Going beyond the star-tracking application, the AIS-based pattern-recognition method is potentially applicable to pattern- recognition and -classification processes for diverse purposes -- for example, reconnaissance, detecting intruders, and mining data.

  16. Matching and Clustering: Two Steps Towards Automatic Model Generation in Computer Vision

    OpenAIRE

    Gros, Patrick

    1993-01-01

    International audience In this paper, we present a general frame for a system of automatic modelling and recognition of 3D polyhedral objects. Such a system has many applications for robotics : recognition, localization, grasping,...Here we focus upon one main aspect of the system : when many images of one 3D object are taken from different unknown viewpoints, how to recognize those of them which represent the same aspect of the object ? Briefly, it is possible to determine automatically i...

  17. Automatic Wall Painting Robot

    Directory of Open Access Journals (Sweden)

    P.KEERTHANAA, K.JEEVITHA, V.NAVINA, G.INDIRA, S.JAYAMANI

    2013-07-01

    Full Text Available The Primary Aim Of The Project Is To Design, Develop And Implement Automatic Wall Painting Robot Which Helps To Achieve Low Cost Painting Equipment. Despite The Advances In Robotics And Its Wide Spreading Applications, Interior Wall Painting Has Shared Little In Research Activities. The Painting Chemicals Can Cause Hazards To The Human Painters Such As Eye And Respiratory System Problems. Also The Nature Of Painting Procedure That Requires Repeated Work And Hand Rising Makes It Boring, Time And Effort Consuming. When Construction Workers And Robots Are Properly Integrated In Building Tasks, The Whole Construction Process Can Be Better Managed And Savings In Human Labour And Timing Are Obtained As A Consequence. In Addition, It Would Offer The Opportunity To Reduce Or Eliminate Human Exposure To Difficult And Hazardous Environments, Which Would Solve Most Of The Problems Connected With Safety When Many Activities Occur At The Same Time. These Factors Motivate The Development Of An Automated Robotic Painting System.

  18. Automatic alkaloid removal system.

    Science.gov (United States)

    Yahaya, Muhammad Rizuwan; Hj Razali, Mohd Hudzari; Abu Bakar, Che Abdullah; Ismail, Wan Ishak Wan; Muda, Wan Musa Wan; Mat, Nashriyah; Zakaria, Abd

    2014-01-01

    This alkaloid automated removal machine was developed at Instrumentation Laboratory, Universiti Sultan Zainal Abidin Malaysia that purposely for removing the alkaloid toxicity from Dioscorea hispida (DH) tuber. It is a poisonous plant where scientific study has shown that its tubers contain toxic alkaloid constituents, dioscorine. The tubers can only be consumed after it poisonous is removed. In this experiment, the tubers are needed to blend as powder form before inserting into machine basket. The user is need to push the START button on machine controller for switching the water pump ON by then creating turbulence wave of water in machine tank. The water will stop automatically by triggering the outlet solenoid valve. The powders of tubers are washed for 10 minutes while 1 liter of contaminated water due toxin mixture is flowing out. At this time, the controller will automatically triggered inlet solenoid valve and the new water will flow in machine tank until achieve the desire level that which determined by ultra sonic sensor. This process will repeated for 7 h and the positive result is achieved and shows it significant according to the several parameters of biological character ofpH, temperature, dissolve oxygen, turbidity, conductivity and fish survival rate or time. From that parameter, it also shows the positive result which is near or same with control water and assuming was made that the toxin is fully removed when the pH of DH powder is near with control water. For control water, the pH is about 5.3 while water from this experiment process is 6.0 and before run the machine the pH of contaminated water is about 3.8 which are too acid. This automated machine can save time for removing toxicity from DH compared with a traditional method while less observation of the user. PMID:24783795

  19. Automatic Loop Parallelization via Compiler Guided Refactoring

    DEFF Research Database (Denmark)

    Larsen, Per; Ladelsky, Razya; Lidman, Jacob;

    For many parallel applications, performance relies not on instruction-level parallelism, but on loop-level parallelism. Unfortunately, many modern applications are written in ways that obstruct automatic loop parallelization. Since we cannot identify sufficient parallelization opportunities for t...... the OpenMP code (within 75-111%). The second benchmark outperforms hand-parallelized and optimized OpenMP code (within 109-242%)....... be combined with target-specific optimizations. Furthermore, comparing the first benchmark to hand-parallelized, hand-optimized pthreads and OpenMP versions, we find that code generated using our approach typically outperforms the pthreads code (within 93-339%). It also performs competitively against...

  20. Mental imagery affects subsequent automatic defense responses

    Directory of Open Access Journals (Sweden)

    Muriel A Hagenaars

    2015-06-01

    Full Text Available Automatic defense responses promote survival and appropriate action under threat. They have also been associated with the development of threat-related psychiatric syndromes. Targeting such automatic responses during threat may be useful in populations with frequent threat exposure. Here, two experiments explored whether mental imagery as a pre-trauma manipulation could influence fear bradycardia (a core characteristic of freezing during subsequent analogue trauma (affective picture viewing. Image-based interventions have proven successful in the treatment of threat-related disorders, and are easily applicable. In Experiment 1 43 healthy participants were randomly assigned to an imagery script condition. Participants executed a passive viewing task with blocks of neutral, pleasant and unpleasant pictures after listening to an auditory script that was either related (with a positive or a negative outcome or unrelated to the unpleasant pictures from the passive viewing task. Heart rate was assessed during script listening and during passive viewing. Imagining negative related scripts resulted in greater bradycardia (neutral-unpleasant contrast than imagining positive scripts, especially unrelated. This effect was replicated in Experiment 2 (N = 51, again in the neutral-unpleasant contrast. An extra no-script condition showed that bradycardia was not induced by the negative related script, but rather that a positive script attenuated bradycardia. These preliminary results might indicate reduced vigilance after unrelated positive events. Future research should replicate these findings using a larger sample. Either way, the findings show that highly automatic defense behavior can be influenced by relatively simple mental imagery manipulations.

  1. Target detection and recognition in SAR imagery based on KFDA

    Institute of Scientific and Technical Information of China (English)

    Fei Gao; Jingyuan Mei; Jinping Sun; Jun Wang; Erfu Yang; Amir Hussain

    2015-01-01

    Current research on target detection and recognition from synthetic aperture radar (SAR) images is usual y carried out separately. It is difficult to verify the ability of a target recognition algorithm for adapting to changes in the environment. To realize the whole process of SAR automatic target recognition (ATR), es-pecial y for the detection and recognition of vehicles, an algorithm based on kernel fisher discriminant analysis (KFDA) is proposed. First, in order to make a better description of the difference be-tween the background and the target, KFDA is extended to the detection part. Image samples are obtained with a dual-window approach and features of the inner and outer window samples are extracted by using KFDA. The difference between the features of inner and outer window samples is compared with a threshold to determine whether a vehicle exists. Second, for the target area, we propose an improved KFDA-IMED (image Euclidean distance) combined with a support vector machine (SVM) to recognize the vehicles. Experimental results validate the performance of our method. On the detection task, our proposed method obtains not only a high detection rate but also a low false alarm rate without using any prior information. For the recognition task, our method overcomes the SAR image aspect angle sensitivity, reduces the requirements for image preprocessing and improves the recogni-tion rate.

  2. Design and recognition of three dimensional calibration target based on coded marker

    Science.gov (United States)

    Zhai, You; Xiong, Wei; Zeng, Luan; Gu, Dalong

    2015-08-01

    Traditional three-dimensional (3D) calibration targets consist of two or three mutual orthogonal planes (each of the planes contains several control points constituted by corners or circular points) that cannot be captured simultaneously by cameras in front view. Therefore, large perspective distortions exist in the images of the calibration targets resulting in inaccurate image coordinate detection of the control points. Besides, in order to eliminate mismatches, recognition of the control points usually needs manual intervention consuming large amount of time. A new design of 3D calibration target is presented for automatic and accurate camera calibration. The target employs two parallel planes instead of orthogonal planes to reduce perspective distortion, which can be captured simultaneously by cameras in front view. Control points of the target are constituted by carefully designed circular coded markers, which can be used to realize automatic recognition without manual intervention. Due to perspective projection, projections of the circular coded markers' centers deviate from the centers of their corresponding imaging ellipses. Colinearity of the control points is used to correct perspective distortions of the imaging ellipses. Experiment results show that the calibration target can be automatically and correctly recognized under large illumination and viewpoint change. The image extraction errors of the control points are under 0.1 pixels. When applied to binocular cameras calibration, the mean reprojection errors are less than 0.15 pixels and the 3D measurement errors are less than 0.2mm in x and y axis and 0.5mm in z axis respectively.

  3. Bayesian multiple target tracking

    CERN Document Server

    Streit, Roy L

    2013-01-01

    This second edition has undergone substantial revision from the 1999 first edition, recognizing that a lot has changed in the multiple target tracking field. One of the most dramatic changes is in the widespread use of particle filters to implement nonlinear, non-Gaussian Bayesian trackers. This book views multiple target tracking as a Bayesian inference problem. Within this framework it develops the theory of single target tracking, multiple target tracking, and likelihood ratio detection and tracking. In addition to providing a detailed description of a basic particle filter that implements

  4. Design of Automatic Detection and Tracking System for Ground Forest Fire Targets Based on Infrared Detection%基于红外探测的地面林火目标自动检测与追踪系统设计

    Institute of Scientific and Technical Information of China (English)

    赵亚凤; 凌滨; 刘立臣

    2011-01-01

    针对红外林火图像的特点,从实际应用的角度出发,在FPGA+DSP构建的硬件平台上,实现了森林灰度图像的正确采集和进行有无火点的判断,并提出了图像边缘检测和自适应阈值相结合提取林火目标的方法,达到了林火目标的自动检测;然后利用通信协议和算法控制云台转动,使热像仪的光学系统主光轴始终对准最大灰度值点,达到追踪的效果.在多种环境下对此方法进行了验证,结果表明,这一方法的实用效果、实时性和可靠性均达到了要求.%A practical method for fire target detection was proposed through grayscale image collection and analysis on a FPGA-based DSP hardware platform, in view of the characteristics of infrared forest-fire images. The automatic detection of forest fire targets could be realized by target extraction based on image edge detection and adaptive threshold. The software depends on the communication protocol and algorithm to realize the tracking by controlling the circular movement of the tripod head and making the optical axis of the thermal imager aim at the maximum gray value. Validation experiments were conducted under a series of different environments. Results show that the effectiveness, timeliness and reliability of the method all meet the design requirements.

  5. Making automatic differentiation truly automatic : coupling PETSc with ADIC

    International Nuclear Information System (INIS)

    Despite its name, automatic differentiation (AD) is often far from an automatic process. often one must specify independent and dependent variables, indicate the derivative quantities to be computed, and perhaps even provide information about the structure of the Jacobians or Hessians being computed. However, when AD is used in conjunction with a toolkit with well-defined interfaces, many of these issues do not arise. They describe recent research into coupling the ADIC automatic differentiation tool with PETSc, a toolkit for the parallel numerical solution of PDEs. This research leverages the interfaces and objects of PETSc to make the AD process very nearly transparent

  6. An application of nuclear emulsions with automatic scanning

    International Nuclear Information System (INIS)

    It will be shown that emulsions can be mass produced and automatically scanned in large quantities. CHORUS demonstrated the first large-scale application. Emulsions can be used to search for rare events in a high track density environment like DONUT. Heavy target masses as in OPERA are possible. The use of emulsions is getting more and more easier

  7. 46 CFR 42.05-60 - Recognized classification society.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 2 2010-10-01 2010-10-01 false Recognized classification society. 42.05-60 Section 42... society. The term recognized classification society means the American Bureau of Shipping or other classification society recognized by the Commandant, as provided in 46 U.S.C. 5107, and who also may be...

  8. 46 CFR 90.10-35 - Recognized classification society.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 4 2010-10-01 2010-10-01 false Recognized classification society. 90.10-35 Section 90... classification society. The term recognized classification society means the American Bureau of Shipping or other classification society recognized by the Commandant....

  9. 46 CFR 164.012-12 - Recognized laboratory.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 6 2010-10-01 2010-10-01 false Recognized laboratory. 164.012-12 Section 164.012-12...: SPECIFICATIONS AND APPROVAL MATERIALS Interior Finishes for Merchant Vessels § 164.012-12 Recognized laboratory. A recognized laboratory is one which is operated as a nonprofit public service and is...

  10. 46 CFR 160.047-7 - Recognized laboratory.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 6 2010-10-01 2010-10-01 false Recognized laboratory. 160.047-7 Section 160.047-7... and Child § 160.047-7 Recognized laboratory. (a) A manufacturer seeking Coast Guard approval of a... shall apply for approval directly to a recognized independent laboratory. The following laboratories...

  11. 46 CFR 164.019-17 - Recognized laboratory.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 6 2010-10-01 2010-10-01 false Recognized laboratory. 164.019-17 Section 164.019-17...: SPECIFICATIONS AND APPROVAL MATERIALS Personal Flotation Device Components § 164.019-17 Recognized laboratory. (a) General. A laboratory may be designated as a recognized laboratory under this subpart if it is—...

  12. 46 CFR 160.060-9 - Recognized laboratory.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 6 2010-10-01 2010-10-01 false Recognized laboratory. 160.060-9 Section 160.060-9..., Adult and Child § 160.060-9 Recognized laboratory. (a) A manufacturer seeking Coast Guard approval of a... shall apply for approval directly to a recognized independent laboratory. The following laboratories...

  13. 46 CFR 160.064-7 - Recognized laboratory.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 6 2010-10-01 2010-10-01 false Recognized laboratory. 160.064-7 Section 160.064-7...: SPECIFICATIONS AND APPROVAL LIFESAVING EQUIPMENT Marine Buoyant Devices § 160.064-7 Recognized laboratory. (a) A... laboratory. The following laboratories are recognized under § 159.010-7 of this part, to perform testing...

  14. 46 CFR 160.052-9 - Recognized laboratory.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 6 2010-10-01 2010-10-01 false Recognized laboratory. 160.052-9 Section 160.052-9..., Adult and Child § 160.052-9 Recognized laboratory. (a) A manufacturer seeking Coast Guard approval of a... shall apply for approval directly to a recognized independent laboratory. The following laboratories...

  15. Automatic Kurdish Dialects Identification

    Directory of Open Access Journals (Sweden)

    Hossein Hassani

    2016-02-01

    Full Text Available Automatic dialect identification is a necessary Lan guage Technology for processing multi- dialect languages in which the dialects are linguis tically far from each other. Particularly, this becomes crucial where the dialects are mutually uni ntelligible. Therefore, to perform computational activities on these languages, the sy stem needs to identify the dialect that is the subject of the process. Kurdish language encompasse s various dialects. It is written using several different scripts. The language lacks of a standard orthography. This situation makes the Kurdish dialectal identification more interesti ng and required, both form the research and from the application perspectives. In this research , we have applied a classification method, based on supervised machine learning, to identify t he dialects of the Kurdish texts. The research has focused on two widely spoken and most dominant Kurdish dialects, namely, Kurmanji and Sorani. The approach could be applied to the other Kurdish dialects as well. The method is also applicable to the languages which are similar to Ku rdish in their dialectal diversity and differences.

  16. Automatic Detect and Trace of Solar Filaments

    Science.gov (United States)

    Fang, Cheng; Chen, P. F.; Tang, Yu-hua; Hao, Qi; Guo, Yang

    We developed a series of methods to automatically detect and trace solar filaments in solar Hα images. The programs are able to not only recognize filaments and determine their properties, such as the position, the area and other relevant parameters, but also to trace the daily evolution of the filaments. For solar full disk Hα images, the method consists of three parts: first, preprocessing is applied to correct the original images; second, the Canny edge-detection method is used to detect the filaments; third, filament properties are recognized through the morphological operators. For each Hα filament and its barb features, we introduced the unweighted undirected graph concept and adopted Dijkstra shortest-path algorithm to recognize the filament spine; then, using polarity inversion line shift method for measuring the polarities in both sides of the filament to determine the filament axis chirality; finally, employing connected components labeling method to identify the barbs and calculating the angle between each barb and spine to indicate the barb chirality. Our algorithms are applied to the observations from varied observatories, including the Optical & Near Infrared Solar Eruption Tracer (ONSET) in Nanjing University, Mauna Loa Solar Observatory (MLSO) and Big Bear Solar Observatory (BBSO). The programs are demonstrated to be effective and efficient. We used our method to automatically process and analyze 3470 images obtained by MLSO from January 1998 to December 2009, and a butterfly diagram of filaments is obtained. It shows that the latitudinal migration of solar filaments has three trends in the Solar Cycle 23: The drift velocity was fast from 1998 to the solar maximum; after the solar maximum, it became relatively slow and after 2006, the migration became divergent, signifying the solar minimum. About 60% filaments with the latitudes larger than 50 degree migrate towards the Polar Regions with relatively high velocities, and the latitudinal migrating

  17. Electronic amplifiers for automatic compensators

    CERN Document Server

    Polonnikov, D Ye

    1965-01-01

    Electronic Amplifiers for Automatic Compensators presents the design and operation of electronic amplifiers for use in automatic control and measuring systems. This book is composed of eight chapters that consider the problems of constructing input and output circuits of amplifiers, suppression of interference and ensuring high sensitivity.This work begins with a survey of the operating principles of electronic amplifiers in automatic compensator systems. The succeeding chapters deal with circuit selection and the calculation and determination of the principal characteristics of amplifiers, as

  18. Automated target recognition and tracking using an optical pattern recognition neural network

    Science.gov (United States)

    Chao, Tien-Hsin

    1991-01-01

    The on-going development of an automatic target recognition and tracking system at the Jet Propulsion Laboratory is presented. This system is an optical pattern recognition neural network (OPRNN) that is an integration of an innovative optical parallel processor and a feature extraction based neural net training algorithm. The parallel optical processor provides high speed and vast parallelism as well as full shift invariance. The neural network algorithm enables simultaneous discrimination of multiple noisy targets in spite of their scales, rotations, perspectives, and various deformations. This fully developed OPRNN system can be effectively utilized for the automated spacecraft recognition and tracking that will lead to success in the Automated Rendezvous and Capture (AR&C) of the unmanned Cargo Transfer Vehicle (CTV). One of the most powerful optical parallel processors for automatic target recognition is the multichannel correlator. With the inherent advantages of parallel processing capability and shift invariance, multiple objects can be simultaneously recognized and tracked using this multichannel correlator. This target tracking capability can be greatly enhanced by utilizing a powerful feature extraction based neural network training algorithm such as the neocognitron. The OPRNN, currently under investigation at JPL, is constructed with an optical multichannel correlator where holographic filters have been prepared using the neocognitron training algorithm. The computation speed of the neocognitron-type OPRNN is up to 10(exp 14) analog connections/sec that enabling the OPRNN to outperform its state-of-the-art electronics counterpart by at least two orders of magnitude.

  19. Automatic laser tracking and ranging system.

    Science.gov (United States)

    Cooke, C R

    1972-02-01

    An automatic laser tracking and ranging system has been developed for use with cooperative retroreflective targets. Target position is determined with high precision at ranges out to 19 km and sample rates up to one hundred measurements per second. The data are recorded on a magnetic tape in the form of azimuth, elevation, range, and standard time and are computer-compatible. The system is fully automatic with the exception of the initial acquisition sequence, which is performed manually. This eliminates the need for expensive and time-consuming photographic data reduction. Also, position is uniquely determined by a single instrument. To provide convenient operation at remote sites, the system is van-mounted and operates off a portable power generator. The transmitter is a flash-pumped Q-spoiled Nd:YAG laser developing 1 MW peak power in a 10-mrad beam at a rate of 100 pps. The beam, which is coaxial with the receiver, is directed to the target by an azimuth-elevation mirror mount. The return beam is imaged o separate ranging and tracking receivers. The ranging receiver measures time of flight of the 25-nsec laser pulse with range accuracies of +/-15 cm. The tracking receiver uses a quadrant photodiode followed by matched log video amplifiers and achieves a tracking accuracy of +/-0.1 mrad. An optical dynamic range of 30 dB is provided to minimize error due to scintillation. Also, 80 dB of optical dynamic range is provided by adjustable neutral density filters to compensate for changes in target range. PMID:20111495

  20. Automatic Knowledge Extraction and Knowledge Structuring for a National Term Bank

    DEFF Research Database (Denmark)

    Lassen, Tine; Madsen, Bodil Nistrup; Erdman Thomsen, Hanne

    2011-01-01

    This paper gives an introduction to the plans and ongoing work in a project, the aim of which is to develop methods for automatic knowledge extraction and automatic construction and updating of ontologies. The project also aims at developing methods for automatic merging of terminological data from...... various existing sources, as well as methods for target group oriented knowledge dissemination. In this paper, we mainly focus on the plans for automatic knowledge extraction and knowledge structuring that will result in ontologies for a national term bank....

  1. Victimization: a newly recognized outcome of prematurity.

    Science.gov (United States)

    Nadeau, Line; Tessier, Réjean; Lefebvre, Francine; Robaey, Philippe

    2004-08-01

    Victimization by peers affects 10 to 20% of school children under the age of 12 years. Physical, verbal, and psychological victimization (being pushed, hit, called names, teased, being the target of rumours, theft, extortion) is associated with short- and long-term adjustment problems, such as peer rejection, social withdrawal, low self-esteem, anxiety, loneliness, and depression, as well as academic problems and school drop-out. Research on populations of school children (primary and secondary) has associated victimization with personal risk factors (the victim's characteristics and behaviour) and interpersonal risk factors (social relationships between peers). Studies on the social adjustment of preterm children at school age show that, even in the absence of a major motor or cognitive disability, this population has several personal risk factors associated with victimization. The objective of this study was to compare the level of victimization experienced by a group of 96 seven-year-old children born extremely preterm (EP, born EP had a mean gestational age of 27.3 weeks (SD 1.2) and a mean birthweight of 1001.1g (SD 223) and normal birthweight children had a mean gestational age of 39.5 weeks (SD 1.5) and a mean birthweight of 3468.7g (SD 431). Physical and verbal victimization were assessed in a school setting by peers with individual sociometric interviews (Modified Peer Nomination Inventory). After controlling for physical growth (height and weight) at the age of 7 years, the data indicate two independent effects: males were more victimized than females, and children born preterm experienced more verbal victimization by their peers than their term classmates, even when participants with a visible motor, intellectual, or sensory disability were excluded. Several hypotheses are presented to account for the higher incidence of verbal victimization of preterm children. PMID:15287240

  2. Clothes Dryer Automatic Termination Evaluation

    Energy Technology Data Exchange (ETDEWEB)

    TeGrotenhuis, Ward E.

    2014-10-01

    Volume 2: Improved Sensor and Control Designs Many residential clothes dryers on the market today provide automatic cycles that are intended to stop when the clothes are dry, as determined by the final remaining moisture content (RMC). However, testing of automatic termination cycles has shown that many dryers are susceptible to over-drying of loads, leading to excess energy consumption. In particular, tests performed using the DOE Test Procedure in Appendix D2 of 10 CFR 430 subpart B have shown that as much as 62% of the energy used in a cycle may be from over-drying. Volume 1 of this report shows an average of 20% excess energy from over-drying when running automatic cycles with various load compositions and dryer settings. Consequently, improving automatic termination sensors and algorithms has the potential for substantial energy savings in the U.S.

  3. Prospects for de-automatization.

    Science.gov (United States)

    Kihlstrom, John F

    2011-06-01

    Research by Raz and his associates has repeatedly found that suggestions for hypnotic agnosia, administered to highly hypnotizable subjects, reduce or even eliminate Stroop interference. The present paper sought unsuccessfully to extend these findings to negative priming in the Stroop task. Nevertheless, the reduction of Stroop interference has broad theoretical implications, both for our understanding of automaticity and for the prospect of de-automatizing cognition in meditation and other altered states of consciousness. PMID:20356765

  4. Process automatization in system administration

    OpenAIRE

    Petauer, Janja

    2013-01-01

    The aim of the thesis is to present automatization of user management in company Studio Moderna. The company has grown exponentially in recent years, that is why we needed to find faster, easier and cheaper way of man- aging user accounts. We automatized processes of creating, changing and removing user accounts within Active Directory. We prepared user interface inside of existing application, used Java Script for drop down menus, wrote script in scripting programming langu...

  5. Eating as an Automatic Behavior

    OpenAIRE

    Deborah A. Cohen, MD, MPH; Thomas A. Farley, MD, MPH

    2007-01-01

    The continued growth of the obesity epidemic at a time when obesity is highly stigmatizing should make us question the assumption that, given the right information and motivation, people can successfully reduce their food intake over the long term. An alternative view is that eating is an automatic behavior over which the environment has more control than do individuals. Automatic behaviors are those that occur without awareness, are initiated without intention, tend to continue without contr...

  6. Structural basis of Zika virus helicase in recognizing its substrates.

    Science.gov (United States)

    Tian, Hongliang; Ji, Xiaoyun; Yang, Xiaoyun; Zhang, Zhongxin; Lu, Zuokun; Yang, Kailin; Chen, Cheng; Zhao, Qi; Chi, Heng; Mu, Zhongyu; Xie, Wei; Wang, Zefang; Lou, Huiqiang; Yang, Haitao; Rao, Zihe

    2016-08-01

    The recent explosive outbreak of Zika virus (ZIKV) infection has been reported in South and Central America and the Caribbean. Neonatal microcephaly associated with ZIKV infection has already caused a public health emergency of international concern. No specific vaccines or drugs are currently available to treat ZIKV infection. The ZIKV helicase, which plays a pivotal role in viral RNA replication, is an attractive target for therapy. We determined the crystal structures of ZIKV helicase-ATP-Mn(2+) and ZIKV helicase-RNA. This is the first structure of any flavivirus helicase bound to ATP. Comparisons with related flavivirus helicases have shown that although the critical P-loop in the active site has variable conformations among different species, it adopts an identical mode to recognize ATP/Mn(2+). The structure of ZIKV helicase-RNA has revealed that upon RNA binding, rotations of the motor domains can cause significant conformational changes. Strikingly, although ZIKV and dengue virus (DENV) apo-helicases share conserved residues for RNA binding, their different manners of motor domain rotations result in distinct individual modes for RNA recognition. It suggests that flavivirus helicases could have evolved a conserved engine to convert chemical energy from nucleoside triphosphate to mechanical energy for RNA unwinding, but different motor domain rotations result in variable RNA recognition modes to adapt to individual viral replication. PMID:27430951

  7. The advanced linked extended reconnaissance and targeting technology demonstration project

    Science.gov (United States)

    Cruickshank, James; de Villers, Yves; Maheux, Jean; Edwards, Mark; Gains, David; Rea, Terry; Banbury, Simon; Gauthier, Michelle

    2007-06-01

    The Advanced Linked Extended Reconnaissance & Targeting (ALERT) Technology Demonstration (TD) project is addressing key operational needs of the future Canadian Army's Surveillance and Reconnaissance forces by fusing multi-sensor and tactical data, developing automated processes, and integrating beyond line-of-sight sensing. We discuss concepts for displaying and fusing multi-sensor and tactical data within an Enhanced Operator Control Station (EOCS). The sensor data can originate from the Coyote's own visible-band and IR cameras, laser rangefinder, and ground-surveillance radar, as well as beyond line-of-sight systems such as a mini-UAV and unattended ground sensors. The authors address technical issues associated with the use of fully digital IR and day video cameras and discuss video-rate image processing developed to assist the operator to recognize poorly visible targets. Automatic target detection and recognition algorithms processing both IR and visible-band images have been investigated to draw the operator's attention to possible targets. The machine generated information display requirements are presented with the human factors engineering aspects of the user interface in this complex environment, with a view to establishing user trust in the automation. The paper concludes with a summary of achievements to date and steps to project completion.

  8. Performance of automatic scanning microscope for nuclear emulsion experiments

    International Nuclear Information System (INIS)

    The impressive improvements in scanning technology and methods let nuclear emulsion to be used as a target in recent large experiments. We report the performance of an automatic scanning microscope for nuclear emulsion experiments. After successful calibration and alignment of the system, we have reached 99% tracking efficiency for the minimum ionizing tracks that penetrating through the emulsions films. The automatic scanning system is successfully used for the scanning of emulsion films in the OPERA experiment and plan to use for the next generation of nuclear emulsion experiments

  9. Performance of automatic scanning microscope for nuclear emulsion experiments

    Science.gov (United States)

    Güler, A. Murat; Altınok, Özgür

    2015-12-01

    The impressive improvements in scanning technology and methods let nuclear emulsion to be used as a target in recent large experiments. We report the performance of an automatic scanning microscope for nuclear emulsion experiments. After successful calibration and alignment of the system, we have reached 99% tracking efficiency for the minimum ionizing tracks that penetrating through the emulsions films. The automatic scanning system is successfully used for the scanning of emulsion films in the OPERA experiment and plan to use for the next generation of nuclear emulsion experiments.

  10. Tracking control mechanisms for positioning automatic CRD exchanger

    International Nuclear Information System (INIS)

    Purpose: To enable completely automatic positioning for the automatic CRD (control rod drives) exchanger, as well as shorten the time for the exchanging operation and save the operator's labour. Constitution: Images of a target attached to the lower flange face of CRD are picked up by a fiber scope mounted to a mounting head. The images are converted through I.T.V. into electrical signals, passed through a cable and then sent to a pattern recognition mechanism. The position for the images of the target is calculated and the calculated position is sent to a drive control section, where the position for the images of the target is compared with a reference position for the images (exactly aligned position) and the moving amount of the mounting head is calculated to move the driving section and thereby complete the positioning. (Kawakami, Y.)

  11. From motion to faces: 3D-assisted automatic analysis of people

    OpenAIRE

    Iacopo Masi

    2014-01-01

    From motion to faces: 3D-assisted automatic analysis of people. This work proposes new computer vision algorithms about recognizing people by exploiting the face and the imaged appearance of the body. Many computer vision algorithms are covered: tracking, face recognition and person re-identification.

  12. AROMA-AIRWICK: a CHLOE/CDC-3600 system for the automatic identification of spark images and their association into tracks

    Energy Technology Data Exchange (ETDEWEB)

    Clark, R K

    1980-06-26

    The AROMA-AIRWICK System for CHLOE, an automatic film scanning equipment built at Argonne by Donald Hodges, and the CDC-3600 computer is a system for the automatic identification of spark images and their association into tracks. AROMA-AIRWICK has been an outgrowth of the generally recognized need for the automatic processing of high energy physics data and the fact that the Argonne National Laboratory has been a center of serious spark chamber development in recent years.

  13. AROMA-AIRWICK: a CHLOE/CDC-3600 system for the automatic identification of spark images and their association into tracks

    International Nuclear Information System (INIS)

    The AROMA-AIRWICK System for CHLOE, an automatic film scanning equipment built at Argonne by Donald Hodges, and the CDC-3600 computer is a system for the automatic identification of spark images and their association into tracks. AROMA-AIRWICK has been an outgrowth of the generally recognized need for the automatic processing of high energy physics data and the fact that the Argonne National Laboratory has been a center of serious spark chamber development in recent years

  14. Accelerating convergence in automatic lens design

    International Nuclear Information System (INIS)

    Among the various factors that slow lens optimization-insufficient performance targets, the absence of a unique solution, false local minima, a poorly scaled change vector, failure to find the optimum damping number, and failure to equalize the parameter gradients-the importance of parameter gradient equalization has been insufficiently recognized. Gradients can be approximately equalized by scaling the lens to a suitable size while it is being optimized. For best results, the size of the damping number should also be optimized during each iteration. If these two procedures are followed, scaling the change vector is usually not crucial. To illustrate the importance of parameter equalization, a lens optimization is analyzed

  15. Automatic Identification of Human Erythrocytes in Microscopic Fecal Specimens.

    Science.gov (United States)

    Liu, Lin; Lei, Haoting; Zhang, Jing; Yuan, Yang; Zhang, Zhenglong; Liu, Juanxiu; Xie, Yu; Ni, Guangming; Liu, Yong

    2015-11-01

    Traditional fecal erythrocyte detection is performed via a manual operation that is unsuitable because it depends significantly on the expertise of individual inspectors. To recognize human erythrocytes automatically and precisely, automatic segmentation is very important for extraction of characteristics. In addition, multiple recognition algorithms are also essential. This paper proposes an algorithm based on morphological segmentation and a fuzzy neural network. The morphological segmentation process comprises three operational steps: top-hat transformation, Otsu's method, and image binarization. Following initial screening by area and circularity, fuzzy c-means clustering and the neural network algorithms are used for secondary screening. Subsequently, the erythrocytes are screened by combining the results of five images obtained at different focal lengths. Experimental results show that even when the illumination, noise pollution, and position of the erythrocytes are different, they are all segmented and labeled accurately by the proposed method. Thus, the proposed method is robust even in images with significant amounts of noise. PMID:26349804

  16. The RNA world, automatic sequences and oncogenetics

    International Nuclear Information System (INIS)

    We construct a model of the RNA world in terms of naturally evolving nucleotide sequences assuming only Crick-Watson base pairing and self-cleaving/splicing capability. These sequences have the following properties. 1) They are recognizable by an automation (or automata). That is, to each k-sequence, there exist a k-automation which accepts, recognizes or generates the k-sequence. These are known as automatic sequences. Fibonacci and Morse-Thue sequences are the most natural outcome of pre-biotic chemical conditions. 2) Infinite (resp. large) sequences are self-similar (resp. nearly self-similar) under certain rewrite rules and consequently give rise to fractal (resp.fractal-like) structures. Computationally, such sequences can also be generated by their corresponding deterministic parallel re-write system, known as a DOL system. The self-similar sequences are fixed points of their respective rewrite rules. Some of these automatic sequences have the capability that they can read or 'accept' other sequences while others can detect errors and trigger error-correcting mechanisms. They can be enlarged and have block and/or palindrome structure. Linear recurring sequences such as Fibonacci sequence are simply Feed-back Shift Registers, a well know model of information processing machines. We show that a mutation of any rewrite rule can cause a combinatorial explosion of error and relates this to oncogenetical behavior. On the other hand, a mutation of sequences that are not rewrite rules, leads to normal evolutionary change. Known experimental results support our hypothesis. (author). Refs

  17. DNA Aptamers against Taiwan Banded Krait α-Bungarotoxin Recognize Taiwan Cobra Cardiotoxins

    OpenAIRE

    Ying-Jung Chen; Chia-Yu Tsai; Wan-Ping Hu; Long-Sen Chang

    2016-01-01

    Bungarus multicinctus α-bungarotoxin (α-Bgt) and Naja atra cardiotoxins (CTXs) share a common structural scaffold, and their tertiary structures adopt three-fingered loop motifs. Four DNA aptamers against α-Bgt have been reported previously. Given that the binding of aptamers with targeted proteins depends on structural complementarity, in this study, we investigated whether DNA aptamers against α-Bgt could also recognize CTXs. It was found that N. atra cardiotoxin 3 (CTX3) reduced the electr...

  18. Automatic Control of Configuration of Web Anonymization

    Directory of Open Access Journals (Sweden)

    Tomas Sochor

    2013-01-01

    Full Text Available Anonymization of the Internet traffic usually hides details about the request originator from the target server. Such a disguise might be required in some situations, especially in the case of web browsing. Although the web traffic anonymization is not a part of the http specification, it could be achieved using a certain extra tool. Significant deceleration of anonymized traffic compared to normal traffic is inevitable but it can be controlled in some cases as this article suggests. The results presented here focus on measuring the parameters of such deceleration in terms of response time, transmission speed and latency and proposing the way how to control it. This study focuses on TOR primarily because recent studies have concluded that other tools (like I2P and JAP provide worse service. Sets of 14 file locations and 30 web pages have been formed and the latency, response time and transmission speed during the page or file download were measured repeatedly both with TOR active in various configurations and without TOR. The main result presented here comprises several ways how to improve the TOR anonymization efficiency and the proposal for its automatic control. In spite of the fact that efficiency still remains too low compared to normal web traffic for ordinary use, its automatic control could make TOR a useful tool in special cases.

  19. Automatic abundance analysis of high resolution spectra

    CERN Document Server

    Bonifacio, P; Bonifacio, Piercarlo; Caffau, Elisabetta

    2003-01-01

    We describe an automatic procedure for determining abundances from high resolution spectra. Such procedures are becoming increasingly important as large amounts of data are delivered from 8m telescopes and their high-multiplexing fiber facilities, such as FLAMES on ESO-VLT. The present procedure is specifically targeted for the analysis of spectra of giants in the Sgr dSph; however, the procedure may be, in principle, tailored to analyse stars of any type. Emphasis is placed on the algorithms and on the stability of the method; the external accuracy rests, ultimately, on the reliability of the theoretical models (model-atmospheres, synthetic spectra) used to interpret the data. Comparison of the results of the procedure with the results of a traditional analysis for 12 Sgr giants shows that abundances accurate at the level of 0.2 dex, comparable with that of traditional analysis of the same spectra, may be derived in a fast and efficient way. Such automatic procedures are not meant to replace the traditional ...

  20. Automatic Lumbar Spondylolisthesis Measurement in CT Images.

    Science.gov (United States)

    Liao, Shu; Zhan, Yiqiang; Dong, Zhongxing; Yan, Ruyi; Gong, Liyan; Zhou, Xiang Sean; Salganicoff, Marcos; Fei, Jun

    2016-07-01

    Lumbar spondylolisthesis is one of the most common spinal diseases. It is caused by the anterior shift of a lumbar vertebrae relative to subjacent vertebrae. In current clinical practices, staging of spondylolisthesis is often conducted in a qualitative way. Although meyerding grading opens the door to stage spondylolisthesis in a more quantitative way, it relies on the manual measurement, which is time consuming and irreproducible. Thus, an automatic measurement algorithm becomes desirable for spondylolisthesis diagnosis and staging. However, there are two challenges. 1) Accurate detection of the most anterior and posterior points on the superior and inferior surfaces of each lumbar vertebrae. Due to the small size of the vertebrae, slight errors of detection may lead to significant measurement errors, hence, wrong disease stages. 2) Automatic localize and label each lumbar vertebrae is required to provide the semantic meaning of the measurement. It is difficult since different lumbar vertebraes have high similarity of both shape and image appearance. To resolve these challenges, a new auto measurement framework is proposed with two major contributions: First, a learning based spine labeling method that integrates both the image appearance and spine geometry information is designed to detect lumbar vertebrae. Second, a hierarchical method using both the population information from atlases and domain-specific information in the target image is proposed for most anterior and posterior points positioning. Validated on 258 CT spondylolisthesis patients, our method shows very similar results to manual measurements by radiologists and significantly increases the measurement efficiency. PMID:26849859

  1. Automatic transcription of Turkish microtonal music.

    Science.gov (United States)

    Benetos, Emmanouil; Holzapfel, André

    2015-10-01

    Automatic music transcription, a central topic in music signal analysis, is typically limited to equal-tempered music and evaluated on a quartertone tolerance level. A system is proposed to automatically transcribe microtonal and heterophonic music as applied to the makam music of Turkey. Specific traits of this music that deviate from properties targeted by current transcription tools are discussed, and a collection of instrumental and vocal recordings is compiled, along with aligned microtonal reference pitch annotations. An existing multi-pitch detection algorithm is adapted for transcribing music with 20 cent resolution, and a method for converting a multi-pitch heterophonic output into a single melodic line is proposed. Evaluation metrics for transcribing microtonal music are applied, which use various levels of tolerance for inaccuracies with respect to frequency and time. Results show that the system is able to transcribe microtonal instrumental music at 20 cent resolution with an F-measure of 56.7%, outperforming state-of-the-art methods for the same task. Case studies on transcribed recordings are provided, to demonstrate the shortcomings and the strengths of the proposed method. PMID:26520294

  2. Automatic anatomy recognition of sparse objects

    Science.gov (United States)

    Zhao, Liming; Udupa, Jayaram K.; Odhner, Dewey; Wang, Huiqian; Tong, Yubing; Torigian, Drew A.

    2015-03-01

    A general body-wide automatic anatomy recognition (AAR) methodology was proposed in our previous work based on hierarchical fuzzy models of multitudes of objects which was not tied to any specific organ system, body region, or image modality. That work revealed the challenges encountered in modeling, recognizing, and delineating sparse objects throughout the body (compared to their non-sparse counterparts) if the models are based on the object's exact geometric representations. The challenges stem mainly from the variation in sparse objects in their shape, topology, geographic layout, and relationship to other objects. That led to the idea of modeling sparse objects not from the precise geometric representations of their samples but by using a properly designed optimal super form. This paper presents the underlying improved methodology which includes 5 steps: (a) Collecting image data from a specific population group G and body region Β and delineating in these images the objects in Β to be modeled; (b) Building a super form, S-form, for each object O in Β; (c) Refining the S-form of O to construct an optimal (minimal) super form, S*-form, which constitutes the (fuzzy) model of O; (d) Recognizing objects in Β using the S*-form; (e) Defining confounding and background objects in each S*-form for each object and performing optimal delineation. Our evaluations based on 50 3D computed tomography (CT) image sets in the thorax on four sparse objects indicate that substantially improved performance (FPVF~2%, FNVF~10%, and success where the previous approach failed) can be achieved using the new approach.

  3. Annual review in automatic programming

    CERN Document Server

    Goodman, Richard

    2014-01-01

    Annual Review in Automatic Programming focuses on the techniques of automatic programming used with digital computers. Topics covered range from the design of machine-independent programming languages to the use of recursive procedures in ALGOL 60. A multi-pass translation scheme for ALGOL 60 is described, along with some commercial source languages. The structure and use of the syntax-directed compiler is also considered.Comprised of 12 chapters, this volume begins with a discussion on the basic ideas involved in the description of a computing process as a program for a computer, expressed in

  4. Recognizing molecular patterns by machine learning: an agnostic structural definition of the hydrogen bond

    CERN Document Server

    Gasparotto, Piero

    2014-01-01

    The concept of chemical bonding can ultimately be seen as a rationalization of the recurring structural patterns observed in molecules and solids. Chemical intuition is nothing but the ability to recognize and predict such patterns, and how they transform into one another. Here we discuss how to use a computer to identify atomic patterns automatically, so as to provide an algorithmic definition of a bond based solely on structural information. We concentrate in particular on hydrogen bonding -- a central concept to our understanding of the physical chemistry of water, biological systems and many technologically important materials. Since the hydrogen bond is a somewhat fuzzy entity that covers a broad range of energies and distances, many different criteria have been proposed and used over the years, based either on sophisticate electronic structure calculations followed by an energy decomposition analysis, or on somewhat arbitrary choices of a range of structural parameters that is deemed to correspond to a ...

  5. Automatically processing physical data from LHD experiments

    Energy Technology Data Exchange (ETDEWEB)

    Emoto, M., E-mail: emoto.masahiko@nifs.ac.jp; Ida, K.; Suzuki, C.; Yoshida, M.; Akiyama, T.; Nakamura, Y.; Sakamoto, R.; Yokoyama, M.; Yoshinuma, M.

    2014-05-15

    Physical data produced by large helical device (LHD) experiments is supplied by the Kaiseki server, and registers more than 200 types of diagnostic data. Dependencies exist amongst the data; i.e., in many cases, the calculation of one data requires other data. Therefore, to obtain unregistered data, one needs to calculate not only the diagnostic data itself but also the dependent data; however, because the data is registered by different scientists, each scientist must separately calculate and register their respective data. To simplify this complicated procedure, we have developed an automatic calculation system called AutoAna. The calculation programs of AutoAna are distributed on a network, and the number of such programs can be easily increased dynamically. Our system is therefore scalable and ready for substantial increases in the size of the target data.

  6. Using immobilized G-protein coupled receptors to screen bioactive traditional Chinese medicine compounds with multiple targets.

    Science.gov (United States)

    Zhao, Xinfeng; Li, Qian; Bian, Liujiao; Zheng, Xiaohui; Zheng, Jianbin; Zhang, Youyi; Li, Zijian

    2012-11-01

    Demand on high-throughput methods for multi-target compounds screening continues to increase nowadays due to the decline of new drugs on the market. Two kinds of G-protein-coupled receptors, alpha1-adrenoceptor (α(1A)-AR) and beta2-adrenoceptor (β(2)-AR), were purified and immobilized on the surface of macroporous silica gel to prepare new chromatographic stationary phases. Control drugs (e.g., prazosin, terazosin, salbutamol, and terbutaline) were used to characterize the retention behavior of the obtained α(1A)-AR and β(2)-AR columns. This study also coupled both columns with a six-way switching valve to construct an automatic two-dimensional system for multi-target compounds screening in complex mixtures. Adrenaline hydrochloride was used as a representative drug to evaluate the chromatographic performance of the two dimensional system. The aqueous extracts from Salvia miltiorrhiza and Coptis chinensis were also analyzed by the automatic system. The compounds in S. miltiorrhiza had no binding to both α(1A)-AR and β(2)-AR columns. But berberine, palmatine and jatrorrhizine were screened as the bioactive compounds in C. chinensis, targeting both the receptors. The proposed method is an alternative for recognizing and separating the compounds targeting different proteins from a complex matrix. PMID:22651959

  7. Automatic Arabic Hand Written Text Recognition System

    Directory of Open Access Journals (Sweden)

    I. A. Jannoud

    2007-01-01

    Full Text Available Despite of the decent development of the pattern recognition science applications in the last decade of the twentieth century and this century, text recognition remains one of the most important problems in pattern recognition. To the best of our knowledge, little work has been done in the area of Arabic text recognition compared with those for Latin, Chins and Japanese text. The main difficulty encountered when dealing with Arabic text is the cursive nature of Arabic writing in both printed and handwritten forms. An Automatic Arabic Hand-Written Text Recognition (AHTR System is proposed. An efficient segmentation stage is required in order to divide a cursive word or sub-word into its constituting characters. After a word has been extracted from the scanned image, it is thinned and its base line is calculated by analysis of horizontal density histogram. The pattern is then followed through the base line and the segmentation points are detected. Thus after the segmentation stage, the cursive word is represented by a sequence of isolated characters. The recognition problem thus reduces to that of classifying each character. A set of features extracted from each individual characters. A minimum distance classifier is used. Some approaches are used for processing the characters and post processing added to enhance the results. Recognized characters will be appended directly to a word file which is editable form.

  8. Automatic Radiation Monitoring in Slovenia

    International Nuclear Information System (INIS)

    Full text: The automatic radiation monitoring system in Slovenia started in early nineties and now it comprises measurements of: 1. External gamma radiation: For the time being there are forty-three probes with GM tubes integrated into a common automatic network, operated at the SNSA. The probes measure dose rate in 30 minute intervals. 2. Aerosol radioactivity: Three automatic aerosol stations measure the concentration of artificial alpha and beta activity in the air, gamma emitting radionuclides, radioactive iodine 131 in the air (in all chemical forms, - natural radon and thoron progeny, 3. Radon progeny concentration: Radon progeny concentration is measured hourly and results are displayed as the equilibrium equivalent concentrations (EEC), 4. Radioactive deposition measurements: As a support to gamma dose rate measurements - the SNSA developed and installed an automatic measuring station for surface contamination equipped with gamma spectrometry system (with 3x3' NaI(Tl) detector). All data are transferred through the different communication pathways to the SNSA. They are collected in 30 minute intervals. Within these intervals the central computer analyses and processes the collected data, and creates different reports. Every month QA/QC analysis of data is performed, showing the statistics of acquisition errors and availability of measuring results. All results are promptly available at the our WEB pages. The data are checked and daily sent to the EURDEP system at Ispra (Italy) and also to the Austrian, Croatian and Hungarian authorities. (author)

  9. Eating as an Automatic Behavior

    Directory of Open Access Journals (Sweden)

    Deborah A. Cohen, MD, MPH

    2008-01-01

    Full Text Available The continued growth of the obesity epidemic at a time when obesity is highly stigmatizing should make us question the assumption that, given the right information and motivation, people can successfully reduce their food intake over the long term. An alternative view is that eating is an automatic behavior over which the environment has more control than do individuals. Automatic behaviors are those that occur without awareness, are initiated without intention, tend to continue without control, and operate efficiently or with little effort. The concept that eating is an automatic behavior is supported by studies that demonstrate the impact of the environmental context and food presentation on eating. The amount of food eaten is strongly influenced by factors such as portion size, food visibility and salience, and the ease of obtaining food. Moreover, people are often unaware of the amount of food they have eaten or of the environmental influences on their eating. A revised view of eating as an automatic behavior, as opposed to one that humans can self-regulate, has profound implications for our response to the obesity epidemic, suggesting that the focus should be less on nutrition education and more on shaping the food environment.

  10. Automatic Association of News Items.

    Science.gov (United States)

    Carrick, Christina; Watters, Carolyn

    1997-01-01

    Discussion of electronic news delivery systems and the automatic generation of electronic editions focuses on the association of related items of different media type, specifically photos and stories. The goal is to be able to determine to what degree any two news items refer to the same news event. (Author/LRW)

  11. Automatic quantification of iris color

    DEFF Research Database (Denmark)

    Christoffersen, S.; Harder, Stine; Andersen, J. D.;

    2012-01-01

    An automatic algorithm to quantify the eye colour and structural information from standard hi-resolution photos of the human iris has been developed. Initially, the major structures in the eye region are identified including the pupil, iris, sclera, and eyelashes. Based on this segmentation, the ...

  12. 05501 Summary -- Automatic Performance Analysis

    OpenAIRE

    Gerndt, Hans Michael; Malony, Allen; Miller, Barton P.; Nagel, Wolfgang

    2006-01-01

    The Workshop on Automatic Performance Analysis (WAPA 2005, Dagstuhl Seminar 05501), held December 13-16, 2005, brought together performance researchers, developers, and practitioners with the goal of better understanding the methods, techniques, and tools that are needed for the automation of performance analysis for high performance computing.

  13. Automatic Identification of Metaphoric Utterances

    Science.gov (United States)

    Dunn, Jonathan Edwin

    2013-01-01

    This dissertation analyzes the problem of metaphor identification in linguistic and computational semantics, considering both manual and automatic approaches. It describes a manual approach to metaphor identification, the Metaphoricity Measurement Procedure (MMP), and compares this approach with other manual approaches. The dissertation then…

  14. Effects of PCB mixtures on recognized targets of endocrine disrupters exposure: search for early biomarkers

    Directory of Open Access Journals (Sweden)

    L. Stecca

    2011-01-01

    Full Text Available Polychlorinated Biphenyls (PCBs are Endocrine Disrupters (EDs relevant to human dietary exposure. Since liver is the main organ involved in metabolism, a human hepatoblastoma cell line (HuH6 was used as in vitro model. A panel of nuclear receptors (NRs was selected as early markers of PCBs exposure and analysed by qPCR. PCB congeners, grouped in three mixtures according to similarities in the modes of action, were used at the concentrations derived from previous data on human internal exposure. Preliminary results indicated that PCB mixtures exert different NRs modulations in HuH6.

  15. Identification of human T cell targets recognized during Chlamydia trachomatis genital infection

    DEFF Research Database (Denmark)

    Olsen, Anja Weinreich; Follmann, Frank; Højrup, Peter; Leah, Robert; Sand, Carsten; Andersen, Peter; Theisen, Michael

    2007-01-01

    The specificity of the human T cell response to Chlamydia trachomatis was investigated by stimulating lymphocytes from 16 case patients with urogenital infection by use of a size-fractionated serovar D lysate. Considerable heterogeneity was found among case patients, and multiple protein fraction...

  16. LabelTranslator: A Tool to Automatically Localize an Ontology

    OpenAIRE

    Espinoza, M; A. GÓMEZ-PÉREZ; E. Mena

    2008-01-01

    This demo proposal briefly presents LabelTranslator, a system that suggests translations of ontology labels, with the purpose of localizing ontologies. LabelTranslator takes as input an ontology whose labels are described in a source natural language and obtains the most probable translation of each ontology label into a target natural language.Our main contribution is the automatization of this process, which reduces human efforts to localize manually the ontology.

  17. Automatic Classification of Seafloor Image Data by Geospatial Texture Descriptors

    OpenAIRE

    Lüdtke, Andree

    2014-01-01

    A novel approach for automatic context-sensitive classification of spatially distributed image data is introduced. The proposed method targets applications of seafloor habitat mapping but is generally not limited to this domain or use case. Spatial context information is incorporated in a two-stage classification process, where in the second step a new descriptor for patterns of feature class occurrence according to a generically defined classification scheme is applied. The method is based o...

  18. Image-based air target identification

    Science.gov (United States)

    Glais, Thierry; Ayoun, Andre

    1994-09-01

    This paper presents the main results obtained through a study on aircraft identification and attitude estimation conducted by Thomson TRT Defense for the French Ministry of Defense/Direction Generale de l'Armement/Direction des Constructions Aeronautiques. The purpose of this study was automatic assistance to aircraft identification. Indeed, modern fight airplanes are equipped with optronic systems capable of detecting and tracking enemy aircraft. In order to react quickly, the pilot must know at least the target type and possibly its identity. Recognition of the target type and attitude is obtained by matching the observed image with patterns belonging to a database. Two matching algorithms, which have been tested, are presented. The first one, based on the contour Fourier transform, needs the complete target silhouette extraction. The second one, belonging to the class of prediction and verification algorithms, compares the individual parts of the target to the database and is able to recognize the target, even when it is partially occluded or ill-segmented due to the lack of contrast between the target and its environment. An original feature of the algorithm stays in a validation process which increases the reliability of transmitted answers. In case of low confidence, no answer is provided. In addition, successive answers are consolidated. This strategy is interesting especially for image sequences where the tracked airplane achieves attitude evolution or even simply flies over various backgrounds. The main output of this study is the parametric analysis of various factors which influence performance such as contrast, background complexity, distance, attitude and type. The evaluation method, largely based on image synthesis (including image sequences), allows fine interpretation of statistical results. Misclassification errors occur when resolution is not sufficient or when complex backgrounds cause erroneous segmentation. Best results are obtained when the

  19. Automatic graphene transfer system for improved material quality and efficiency

    Science.gov (United States)

    Boscá, Alberto; Pedrós, Jorge; Martínez, Javier; Palacios, Tomás; Calle, Fernando

    2016-02-01

    In most applications based on chemical vapor deposition (CVD) graphene, the transfer from the growth to the target substrate is a critical step for the final device performance. Manual procedures are time consuming and depend on handling skills, whereas existing automatic roll-to-roll methods work well for flexible substrates but tend to induce mechanical damage in rigid ones. A new system that automatically transfers CVD graphene to an arbitrary target substrate has been developed. The process is based on the all-fluidic manipulation of the graphene to avoid mechanical damage, strain and contamination, and on the combination of capillary action and electrostatic repulsion between the graphene and its container to ensure a centered sample on top of the target substrate. The improved carrier mobility and yield of the automatically transferred graphene, as compared to that manually transferred, is demonstrated by the optical and electrical characterization of field-effect transistors fabricated on both materials. In particular, 70% higher mobility values, with a 30% decrease in the unintentional doping and a 10% strain reduction are achieved. The system has been developed for lab-scale transfer and proved to be scalable for industrial applications.

  20. Recognizing molecular patterns by machine learning: An agnostic structural definition of the hydrogen bond

    Science.gov (United States)

    Gasparotto, Piero; Ceriotti, Michele

    2014-11-01

    The concept of chemical bonding can ultimately be seen as a rationalization of the recurring structural patterns observed in molecules and solids. Chemical intuition is nothing but the ability to recognize and predict such patterns, and how they transform into one another. Here, we discuss how to use a computer to identify atomic patterns automatically, so as to provide an algorithmic definition of a bond based solely on structural information. We concentrate in particular on hydrogen bonding - a central concept to our understanding of the physical chemistry of water, biological systems, and many technologically important materials. Since the hydrogen bond is a somewhat fuzzy entity that covers a broad range of energies and distances, many different criteria have been proposed and used over the years, based either on sophisticate electronic structure calculations followed by an energy decomposition analysis, or on somewhat arbitrary choices of a range of structural parameters that is deemed to correspond to a hydrogen-bonded configuration. We introduce here a definition that is univocal, unbiased, and adaptive, based on our machine-learning analysis of an atomistic simulation. The strategy we propose could be easily adapted to similar scenarios, where one has to recognize or classify structural patterns in a material or chemical compound.

  1. Recognizing molecular patterns by machine learning: An agnostic structural definition of the hydrogen bond

    International Nuclear Information System (INIS)

    The concept of chemical bonding can ultimately be seen as a rationalization of the recurring structural patterns observed in molecules and solids. Chemical intuition is nothing but the ability to recognize and predict such patterns, and how they transform into one another. Here, we discuss how to use a computer to identify atomic patterns automatically, so as to provide an algorithmic definition of a bond based solely on structural information. We concentrate in particular on hydrogen bonding – a central concept to our understanding of the physical chemistry of water, biological systems, and many technologically important materials. Since the hydrogen bond is a somewhat fuzzy entity that covers a broad range of energies and distances, many different criteria have been proposed and used over the years, based either on sophisticate electronic structure calculations followed by an energy decomposition analysis, or on somewhat arbitrary choices of a range of structural parameters that is deemed to correspond to a hydrogen-bonded configuration. We introduce here a definition that is univocal, unbiased, and adaptive, based on our machine-learning analysis of an atomistic simulation. The strategy we propose could be easily adapted to similar scenarios, where one has to recognize or classify structural patterns in a material or chemical compound

  2. Breathing Problems? Learn to Recognize the Symptoms of COPD

    Science.gov (United States)

    ... Printable Version (PDF—498 kb) Coping with Grief Breathing Problems? Breathing Problems? Learn to Recognize the Symptoms of COPD ... health care provider and ask for a simple breathing test called spirometry. Together, you can come up ...

  3. A novel approach in recognizing magnetic material with simplified algorithm

    KAUST Repository

    Talukdar, Abdul Hafiz Ibne

    2011-04-01

    In this article a cost-effective and simple system (circuit and algorithm) which allows recognizing different kinds of films by their magneto-field conductive properties is demonstrated. The studied signals are generated by a proposed circuit. This signal was further analyzed (recognized) in frequency domain creating the Fourier frequency spectrum which is easily used to detect the response of magnetic sample. The novel algorithm in detecting magnetic field is presented here with both simulation and experimental results. © 2011 IEEE.

  4. Recognizing Multi-user Activities using Body Sensor Networks

    DEFF Research Database (Denmark)

    Gu, Tao; Wang, Liang; Chen, Hanhua;

    2011-01-01

    The advances of wireless networking and sensor technology open up an interesting opportunity to infer human activities in a smart home environment. Existing work in this paradigm focuses mainly on recognizing activities of a single user. In this work, we address the fundamental problem of recogni......The advances of wireless networking and sensor technology open up an interesting opportunity to infer human activities in a smart home environment. Existing work in this paradigm focuses mainly on recognizing activities of a single user. In this work, we address the fundamental problem...... of recognizing activities of multiple users using a wireless body sensor network, and propose a scalable pattern mining approach to recognize both single- and multi-user activities in a unified framework. We exploit Emerging Pattern—a discriminative knowledge pattern which describes significant changes among...... activity classes of data—for building activity models and design a scalable, noise-resistant, Emerging Pattern based Multi-user Activity Recognizer (epMAR) to recognize both single- and multi-user activities. We develop a multi-modal, wireless body sensor network for collecting real-world traces in a smart...

  5. Automatic analysis of ventilation and perfusion pulmonary scintigrams

    International Nuclear Information System (INIS)

    A fully automatic program is used to analyse Pulmonary Ventilation and Perfusion Scintigrams. Ventilation study is performed using a standard washin-washout 133Xe method. Multiple View Late Xenon Washout Images are also recorded. Perfusion study is performed using sup(99m)Tc serum albumin. The FORTRAN program recognizes the different steps of the test, whatever their durations are. It performs background subtraction, drows pulmonary Regions of Interest and calculate Ventilation and Perfusion parameters for each ROI and each lung. It also processes Multiple View Late Xenon Washout Images in such a way that they give not only a topographic information about hypoventilated regions, but also a semi-quantitative information about the strongness of xenon retention. During the processing, the operator has only to control two intermediate results (e.g. automatically determained pulmonary ROI). All the numerical and processed iconographic results are obtained within 10 minutes after the end of the test. This program has already been used to analyse 1,000 pulmonary studies. During those studies, correction of intermediate results has been very scarcely necessary. This efficient and reliable automatic program is very useful for the daily practice of a Nuclear Medecin Department

  6. Category Cued Recall Evokes a Generate-Recognize Retrieval Process

    Science.gov (United States)

    Hunt, R. Reed; Smith, Rebekah E.; Toth, Jeffrey P.

    2016-01-01

    The experiments reported here were designed to replicate and extend McCabe, Roediger, and Karpicke's (2011) finding that retrieval in category cued recall involves both controlled and automatic processes. The extension entailed identifying whether distinctive encoding affected 1 or both of these 2 processes. The first experiment successfully…

  7. Size-based protocol optimization using automatic tube current modulation and automatic kV selection in computed tomography.

    Science.gov (United States)

    MacDougall, Robert D; Kleinman, Patricia L; Callahan, Michael J

    2016-01-01

    Size-based diagnostic reference ranges (DRRs) for contrast-enhanced pediatric abdominal computed tomography (CT) have been published in order to establish practical upper and lower limits of CTDI, DLP, and SSDE. Based on these DRRs, guidelines for establishing size-based SSDE target levels from the SSDE of a standard adult by applying a linear correction factor have been published and provide a great reference for dose optimization initiatives. The necessary step of designing manufacturer-specific CT protocols to achieve established SSDE targets is the responsibility of the Qualified Medical Physicist. The task is straightforward if fixed-mA protocols are used, however, more difficult when automatic exposure control (AEC) and automatic kV selection are considered. In such cases, the physicist must deduce the operation of AEC algorithms from technical documentation or through testing, using a wide range of phantom sizes. Our study presents the results of such testing using anthropomorphic phantoms ranging in size from the newborn to the obese adult. The effect of each user-controlled parameter was modeled for a single-manufacturer AEC algorithm (Siemens CARE Dose4D) and automatic kV selection algorithm (Siemens CARE kV). Based on the results presented in this study, a process for designing mA-modulated, pediatric abdominal CT protocols that achieve user-defined SSDE and kV targets is described. PMID:26894344

  8. Orbital welding automatic pressure test by ODA automatic machines is 35 years old

    International Nuclear Information System (INIS)

    Development review of technology and equipment of automatic orbital welding with automatic pressures test of nuclear power stations pipelines and different purpose objects is performed. Welding variants with automatic pressure test and different welding automatic machines are described. Priority of national developments is underlined

  9. Automatic mapping of monitoring data

    DEFF Research Database (Denmark)

    Lophaven, Søren; Nielsen, Hans Bruun; Søndergaard, Jacob

    2005-01-01

    This paper presents an approach, based on universal kriging, for automatic mapping of monitoring data. The performance of the mapping approach is tested on two data-sets containing daily mean gamma dose rates in Germany reported by means of the national automatic monitoring network (IMIS). In the...... second dataset an accidental release of radioactivity in the environment was simulated in the South-Western corner of the monitored area. The approach has a tendency to smooth the actual data values, and therefore it underestimates extreme values, as seen in the second dataset. However, it is capable of...... identifying a release of radioactivity provided that the number of sampling locations is sufficiently high. Consequently, we believe that a combination of applying the presented mapping approach and the physical knowledge of the transport processes of radioactivity should be used to predict the extreme values...

  10. Automatic Schema Evolution in Root

    Institute of Scientific and Technical Information of China (English)

    ReneBrun; FonsRademakers

    2001-01-01

    ROOT version 3(spring 2001) supports automatic class schema evolution.In addition this version also produces files that are self-describing.This is achieved by storing in each file a record with the description of all the persistent classes in the file.Being self-describing guarantees that a file can always be read later,its structure browsed and objects inspected.also when the library with the compiled code of these classes is missing The schema evolution mechanism supports the frequent case when multiple data sets generated with many different class versions must be analyzed in the same session.ROOT supports the automatic generation of C++ code describing the data objects in a file.

  11. Automatic schema evolution in Root

    International Nuclear Information System (INIS)

    ROOT version 3 (spring 2001) supports automatic class schema evolution. In addition this version also produces files that are self-describing. This is achieved by storing in each file a record with the description of all the persistent classes in the file. Being self-describing guarantees that a file can always be read later, its structure browsed and objects inspected, also when the library with the compiled code of these classes is missing. The schema evolution mechanism supports the frequent case when multiple data sets generated with many different class versions must be analyzed in the same session. ROOT supports the automatic generation of C++ code describing the data objects in a file

  12. Automatic spikes detection in seismogram

    Institute of Scientific and Technical Information of China (English)

    王海军; 靳平; 刘贵忠

    2003-01-01

    @@ Data processing for seismic network is very complex and fussy, because a lot of data is recorded in seismic network every day, which make it impossible to process these data all by manual work. Therefore, seismic data should be processed automatically to produce a initial results about events detection and location. Afterwards, these results are reviewed and modified by analyst. In automatic processing data quality checking is important. There are three main problem data thatexist in real seismic records, which include: spike, repeated data and dropouts. Spike is defined as isolated large amplitude point; the other two problem datahave the same features that amplitude of sample points are uniform in a interval. In data quality checking, the first step is to detect and statistic problem data in a data segment, if percent of problem data exceed a threshold, then the whole data segment is masked and not be processed in the later process.

  13. Automatic registration of satellite imagery

    Science.gov (United States)

    Fonseca, Leila M. G.; Costa, Max H. M.; Manjunath, B. S.; Kenney, C.

    1997-01-01

    Image registration is one of the basic image processing operations in remote sensing. With the increase in the number of images collected every day from different sensors, automated registration of multi-sensor/multi-spectral images has become an important issue. A wide range of registration techniques has been developed for many different types of applications and data. The objective of this paper is to present an automatic registration algorithm which uses a multiresolution analysis procedure based upon the wavelet transform. The procedure is completely automatic and relies on the grey level information content of the images and their local wavelet transform modulus maxima. The registration algorithm is very simple and easy to apply because it needs basically one parameter. We have obtained very encouraging results on test data sets from the TM and SPOT sensor images of forest, urban and agricultural areas.

  14. The Automatic Galaxy Collision Software

    CERN Document Server

    Smith, Beverly J; Pfeiffer, Phillip; Perkins, Sam; Barkanic, Jason; Fritts, Steve; Southerland, Derek; Manchikalapudi, Dinikar; Baker, Matt; Luckey, John; Franklin, Coral; Moffett, Amanda; Struck, Curtis

    2009-01-01

    The key to understanding the physical processes that occur during galaxy interactions is dynamical modeling, and especially the detailed matching of numerical models to specific systems. To make modeling interacting galaxies more efficient, we have constructed the `Automatic Galaxy Collision' (AGC) code, which requires less human intervention in finding good matches to data. We present some preliminary results from this code for the well-studied system Arp 284 (NGC 7714/5), and address questions of uniqueness of solutions.

  15. Automatic Generation of Technical Documentation

    OpenAIRE

    Reiter, Ehud; Mellish, Chris; Levine, John

    1994-01-01

    Natural-language generation (NLG) techniques can be used to automatically produce technical documentation from a domain knowledge base and linguistic and contextual models. We discuss this application of NLG technology from both a technical and a usefulness (costs and benefits) perspective. This discussion is based largely on our experiences with the IDAS documentation-generation project, and the reactions various interested people from industry have had to IDAS. We hope that this summary of ...

  16. Annual review in automatic programming

    CERN Document Server

    Halpern, Mark I; Bolliet, Louis

    2014-01-01

    Computer Science and Technology and their Application is an eight-chapter book that first presents a tutorial on database organization. Subsequent chapters describe the general concepts of Simula 67 programming language; incremental compilation and conversational interpretation; dynamic syntax; the ALGOL 68. Other chapters discuss the general purpose conversational system for graphical programming and automatic theorem proving based on resolution. A survey of extensible programming language is also shown.

  17. Automatically constructing the semantic web

    OpenAIRE

    Becerra, Victor Manuel; Brown, Matthew; Nasuto, Slawomir

    2008-01-01

    The storage and processing capacity realised by computing has lead to an explosion of data retention. We now reach the point of information overload and must begin to use computers to process more complex information. In particular, the proposition of the Semantic Web has given structure to this problem, but has yet realised practically. The largest of its problems is that of ontology construction; without a suitable automatic method most will have to be encoded by hand. In this paper we disc...

  18. Approaches to Automatic Text Structuring

    OpenAIRE

    Erbs, Nicolai

    2015-01-01

    Structured text helps readers to better understand the content of documents. In classic newspaper texts or books, some structure already exists. In the Web 2.0, the amount of textual data, especially user-generated data, has increased dramatically. As a result, there exists a large amount of textual data which lacks structure, thus making it more difficult to understand. In this thesis, we will explore techniques for automatic text structuring to help readers to fulfill their information need...

  19. Automatically-Programed Machine Tools

    Science.gov (United States)

    Purves, L.; Clerman, N.

    1985-01-01

    Software produces cutter location files for numerically-controlled machine tools. APT, acronym for Automatically Programed Tools, is among most widely used software systems for computerized machine tools. APT developed for explicit purpose of providing effective software system for programing NC machine tools. APT system includes specification of APT programing language and language processor, which executes APT statements and generates NC machine-tool motions specified by APT statements.

  20. Automatic translation among spoken languages

    Science.gov (United States)

    Walter, Sharon M.; Costigan, Kelly

    1994-02-01

    The Machine Aided Voice Translation (MAVT) system was developed in response to the shortage of experienced military field interrogators with both foreign language proficiency and interrogation skills. Combining speech recognition, machine translation, and speech generation technologies, the MAVT accepts an interrogator's spoken English question and translates it into spoken Spanish. The spoken Spanish response of the potential informant can then be translated into spoken English. Potential military and civilian applications for automatic spoken language translation technology are discussed in this paper.

  1. Dynamic Optimization of Feedforward Automatic Gauge Control Based on Extended Kalman Filter

    Institute of Scientific and Technical Information of China (English)

    YANG Bin-hu; YANG Wei-dong; CHEN Lian-gui; QU Lei

    2008-01-01

    Automatic gauge control is an essentially nonlinear process varying with time delay, and stochastically varying input and process noise always influence the target gauge control accuracy. To improve the control capability of feedforward automatic gauge control, Kalman filter was employed to filter the noise signal transferred from one stand to another. The linearized matrix that the Kalman filter algorithm needed was concluded; thus, the feedforward automatic gauge control architecture was dynamically optimized. The theoretical analyses and simulation show that the proposed algorithm is reasonable and effective.

  2. Experimental identification of microRNA targets

    DEFF Research Database (Denmark)

    Ørom, Ulf Andersson; Lund, Anders H

    microRNAs are small RNAs that regulate protein synthesis post-transcriptionally. Animal microRNAs recognize their targets by incomplete base pairing to sequence motifs most often present in the 3' untranslated region of their target mRNAs. This partial complementarity vastly expands the repertoire...... of potential targets and constitutes a problem for computational target prediction. Although computational analyses have shed light on important aspects of microRNA target recognition, several questions remain regarding how microRNAs can recognize and regulate their targets. Forward experimental...... approaches allow for an unbiased study of microRNA target recognition and may unveil novel, rare or uncommon target binding patterns. In this review we focus on animal microRNAs and the experimental approaches that have been described for identification of their targets....

  3. A Method for Recognizing Noisy Romanized Japanese Words in Learner English

    Science.gov (United States)

    Nagata, Ryo; Kakegawa, Jun-Ichi; Sugimoto, Hiromi; Yabuta, Yukiko

    This paper describes a method for recognizing romanized Japanese words in learner English. They become noise and problematic in a variety of systems and tools for language learning and teaching including text analysis, spell checking, and grammatical error detection because they are Japanese words and thus mostly unknown to such systems and tools. A problem one encounters when recognizing romanized Japanese words in learner English is that the spelling rules of romanized Japanese words are often violated. To address this problem, the described method uses a clustering algorithm reinforced by a small set of rules. Experiments show that it achieves an F-measure of 0.879 and outperforms other methods. They also show that it only requires the target text and an English word list of reasonable size.

  4. Should the United Nations Framework Convention on Climate Change recognize climate migrants?

    International Nuclear Information System (INIS)

    Climate change is expected to increase migration flows, especially from socially and environmentally vulnerable populations. These ‘climate migrants’ do not have any official protection under international law, which has implications for the human security of migrants. This work argues that the United Nations Framework Convention on Climate Change (UNFCCC) can and should recognize climate migrants, and is the most relevant international framework for doing so. While not legally binding, the acknowledgment of climate displacement, migration and planned relocation issues in the UNFCCC’s Cancun Adaptation Framework indicates a willingness to address the issue through an adaptation lens. Herein, the paper proposes a framework for setting the institutional groundwork for recognizing climate migrants, focusing on the most vulnerable, promoting targeted research and policy agendas, and situating policies within a comprehensive strategy. (letter)

  5. Perspective taking combats automatic expressions of racial bias.

    Science.gov (United States)

    Todd, Andrew R; Bodenhausen, Galen V; Richeson, Jennifer A; Galinsky, Adam D

    2011-06-01

    Five experiments investigated the hypothesis that perspective taking--actively contemplating others' psychological experiences--attenuates automatic expressions of racial bias. Across the first 3 experiments, participants who adopted the perspective of a Black target in an initial context subsequently exhibited more positive automatic interracial evaluations, with changes in automatic evaluations mediating the effect of perspective taking on more deliberate interracial evaluations. Furthermore, unlike other bias-reduction strategies, the interracial positivity resulting from perspective taking was accompanied by increased salience of racial inequalities (Experiment 3). Perspective taking also produced stronger approach-oriented action tendencies toward Blacks (but not Whites; Experiment 4). A final experiment revealed that face-to-face interactions with perspective takers were rated more positively by Black interaction partners than were interactions with nonperspective takers--a relationship that was mediated by perspective takers' increased approach-oriented nonverbal behaviors (as rated by objective, third-party observers). These findings indicate that perspective taking can combat automatic expressions of racial biases without simultaneously decreasing sensitivity to ongoing racial disparities. PMID:21381852

  6. Research of recognizing intelligence based on commanding decision-making

    Institute of Scientific and Technical Information of China (English)

    Liu Jingxue; Fei Qi

    2006-01-01

    In commanding decision-making, the commander usually needs to know a lot of situations(intelligence) on the adversary. Because of the military intelligence with opposability, it is inevitable that intelligence personnel take some deceptive information released by the rival as intelligence data in the process of intelligence gathering. Since the failure of intelligence is likely to lead to a serious aftereffect, the recognition of intelligence is a very important problem. An elementary research on recognizing military intelligence and puts forward a systematic processing method are made. First, the types and characteristics of military intelligence are briefly discussed, a research thought of recognizing military intelligence by means of recognizing military hypotheses are presented. Next, the reasoning mode and framework for recognizing military hypotheses are presented from the angle of psychology of intelligence analysis and non-monotonic reasoning. Then, a model for recognizing military hypothesis is built on the basis of fuzzy judgement information given by intelligence analysts. A calculative example shows that the model has the characteristics of simple calculation and good maneuverability. Last, the methods that selecting the most likely hypothesis from the survival hypotheses via final recognition are discussed.

  7. Social influence effects on automatic racial prejudice.

    Science.gov (United States)

    Lowery, B S; Hardin, C D; Sinclair, S

    2001-11-01

    Although most research on the control of automatic prejudice has focused on the efficacy of deliberate attempts to suppress or correct for stereotyping, the reported experiments tested the hypothesis that automatic racial prejudice is subject to common social influence. In experiments involving actual interethnic contact, both tacit and expressed social influence reduced the expression of automatic prejudice, as assessed by two different measures of automatic attitudes. Moreover, the automatic social tuning effect depended on participant ethnicity. European Americans (but not Asian Americans) exhibited less automatic prejudice in the presence of a Black experimenter than a White experimenter (Experiments 2 and 4), although both groups exhibited reduced automatic prejudice when instructed to avoid prejudice (Experiment 3). Results are consistent with shared reality theory, which postulates that social regulation is central to social cognition. PMID:11708561

  8. Automatic hypermnesia and impaired recollection in schizophrenia.

    Science.gov (United States)

    Linscott, R J; Knight, R G

    2001-10-01

    Evidence from studies of nonmnemonic automatic cognitive processes provides reason to expect that schizophrenia is associated with exaggerated automatic memory (implicit memory), or automatic hypermnesia. Participants with schizophrenia (n = 22) and control participants (n = 26) were compared on word stem completion (WSC) and list discrimination (LD) tasks administered using the process dissociation procedure. Unadjusted, extended measurement model and dual-process signal-detection methods were used to estimate recollection and automatic memory indices. Schizophrenia was associated with automatic hypermnesia on the WSC task and impaired recollection on both tasks. Thought disorder was associated with even greater automatic hypermnesia. The absence of automatic hypermnesia on the LD task was interpreted with reference to the neuropsychological bases of context and content memory. PMID:11761047

  9. Scanner OPC signatures: automatic vendor-to-vendor OPE matching

    Science.gov (United States)

    Renwick, Stephen P.

    2009-03-01

    As 193nm lithography continues to be stretched and the k1 factor decreases, optical proximity correction (OPC) has become a vital part of the lithographer's tool kit. Unfortunately, as is now well known, the design variations of lithographic scanners from different vendors cause them to have slightly different optical-proximity effect (OPE) behavior, meaning that they print features through pitch in distinct ways. This in turn means that their response to OPC is not the same, and that an OPC solution designed for a scanner from Company 1 may or may not work properly on a scanner from Company 2. Since OPC is not inexpensive, that causes trouble for chipmakers using more than one brand of scanner. Clearly a scanner-matching procedure is needed to meet this challenge. Previously, automatic matching has only been reported for scanners of different tool generations from the same manufacturer. In contrast, scanners from different companies have been matched using expert tuning and adjustment techniques, frequently requiring laborious test exposures. Automatic matching between scanners from Company 1 and Company 2 has remained an unsettled problem. We have recently solved this problem and introduce a novel method to perform the automatic matching. The success in meeting this challenge required three enabling factors. First, we recognized the strongest drivers of OPE mismatch and are thereby able to reduce the information needed about a tool from another supplier to that information readily available from all modern scanners. Second, we developed a means of reliably identifying the scanners' optical signatures, minimizing dependence on process parameters that can cloud the issue. Third, we carefully employed standard statistical techniques, checking for robustness of the algorithms used and maximizing efficiency. The result is an automatic software system that can predict an OPC matching solution for scanners from different suppliers without requiring expert intervention.

  10. Automatic detection of AutoPEEP during controlled mechanical ventilation

    Directory of Open Access Journals (Sweden)

    Nguyen Quang-Thang

    2012-06-01

    Full Text Available Abstract Background Dynamic hyperinflation, hereafter called AutoPEEP (auto-positive end expiratory pressure with some slight language abuse, is a frequent deleterious phenomenon in patients undergoing mechanical ventilation. Although not readily quantifiable, AutoPEEP can be recognized on the expiratory portion of the flow waveform. If expiratory flow does not return to zero before the next inspiration, AutoPEEP is present. This simple detection however requires the eye of an expert clinician at the patient’s bedside. An automatic detection of AutoPEEP should be helpful to optimize care. Methods In this paper, a platform for automatic detection of AutoPEEP based on the flow signal available on most of recent mechanical ventilators is introduced. The detection algorithms are developed on the basis of robust non-parametric hypothesis testings that require no prior information on the signal distribution. In particular, two detectors are proposed: one is based on SNT (Signal Norm Testing and the other is an extension of SNT in the sequential framework. The performance assessment was carried out on a respiratory system analog and ex-vivo on various retrospectively acquired patient curves. Results The experiment results have shown that the proposed algorithm provides relevant AutoPEEP detection on both simulated and real data. The analysis of clinical data has shown that the proposed detectors can be used to automatically detect AutoPEEP with an accuracy of 93% and a recall (sensitivity of 90%. Conclusions The proposed platform provides an automatic early detection of AutoPEEP. Such functionality can be integrated in the currently used mechanical ventilator for continuous monitoring of the patient-ventilator interface and, therefore, alleviate the clinician task.

  11. Integrated Coordinated Optimization Control of Automatic Generation Control and Automatic Voltage Control in Regional Power Grids

    Directory of Open Access Journals (Sweden)

    Qiu-Yu Lu

    2012-09-01

    Full Text Available Automatic Generation Control (AGC and Automatic Voltage Control (AVC are key approaches to frequency and voltage regulation in power systems. However, based on the assumption of decoupling of active and reactive power control, the existing AGC and AVC systems work independently without any coordination. In this paper, a concept and method of hybrid control is introduced to set up an Integrated Coordinated Optimization Control (ICOC system for AGC and AVC. Concerning the diversity of control devices and the characteristics of discrete control interaction with a continuously operating power system, the ICOC system is designed in a hierarchical structure and driven by security, quality and economic events, consequently reducing optimization complexity and realizing multi-target quasi-optimization. In addition, an innovative model of Loss Minimization Control (LMC taking into consideration active and reactive power regulation is proposed to achieve a substantial reduction in network losses and a cross iterative method for AGC and AVC instructions is also presented to decrease negative interference between control systems. The ICOC system has already been put into practice in some provincial regional power grids in China. Open-looping operation tests have proved the validity of the presented control strategies.

  12. Hand posture recognizer based on separator wavelet networks

    Science.gov (United States)

    Bouchrika, Tahani; Jemai, Olfa; Zaied, Mourad; Ben Amar, Chokri

    2015-12-01

    This paper presents a novel hand posture recognizer based on separator wavelet networks (SWNs). Aiming at creating a robust and rapid hand posture recognizer, we have contributed by proposing a new training algorithm for the wavelet network classifier based on fast wavelet transform (FWN). So, the contribution resides in reducing the number of WNs modeling training data. To make that, inspiring from the adaboost feature selection method, we thought to create SWNs (n-1 WNs for n classes) instead of modeling each training sample by its wavelet network (WN). By proposing the new training algorithm, the recognition phase will be positively influenced. It will be more rapid thanks to the reduction of the number of comparisons between test images WNs and training WNs. Comparisons with other works, employing universal hand posture datasets are presented and discussed. Obtained results have shown that the new hand posture recognizer is comparable to previously established ones.

  13. Non-Target Screening of Veterinary Drugs Using Tandem Mass Spectrometry on SmartMass

    Science.gov (United States)

    Xia, Bing; Liu, Xin; Gu, Yu-Cheng; Zhang, Zhao-Hui; Wang, Hai-Yan; Ding, Li-Sheng; Zhou, Yan

    2013-05-01

    Non-target screening of veterinary drugs using tandem mass spectrometric data was performed on the SmartMass platform. This newly developed software uses the characteristic fragmentation patterns (CFP) to identify chemicals, especially those containing particular substructures. A mixture of 17 sulfonamides was separated by ultra performance liquid chromatography (UPLC), and SmartMass was used to process the tandem mass spectrometry (MS/MS) data acquired on an Orbitrap mass spectrometer. The data were automatically extracted, and each sulfonamide was recognized and analyzed with a prebuilt analysis rule. By using this software, over 98 % of the false candidate structures were eliminated, and all the correct structures were found within the top 10 of the ranking lists. Furthermore, SmartMass could also be used to identify slightly modified contraband drugs and metabolites with simple prebuilt rules. [Figure not available: see fulltext.

  14. An automatic tooth preparation technique: A preliminary study.

    Science.gov (United States)

    Yuan, Fusong; Wang, Yong; Zhang, Yaopeng; Sun, Yuchun; Wang, Dangxiao; Lyu, Peijun

    2016-01-01

    The aim of this study is to validate the feasibility and accuracy of a new automatic tooth preparation technique in dental healthcare. An automatic tooth preparation robotic device with three-dimensional motion planning software was developed, which controlled an ultra-short pulse laser (USPL) beam (wavelength 1,064 nm, pulse width 15 ps, output power 30 W, and repeat frequency rate 100 kHz) to complete the tooth preparation process. A total of 15 freshly extracted human intact first molars were collected and fixed into a phantom head, and the target preparation shapes of these molars were designed using customised computer-aided design (CAD) software. The accuracy of tooth preparation was evaluated using the Geomagic Studio and Imageware software, and the preparing time of each tooth was recorded. Compared with the target preparation shape, the average shape error of the 15 prepared molars was 0.05-0.17 mm, the preparation depth error of the occlusal surface was approximately 0.097 mm, and the error of the convergence angle was approximately 1.0°. The average preparation time was 17 minutes. These results validated the accuracy and feasibility of the automatic tooth preparation technique. PMID:27125874

  15. An automatic tooth preparation technique: A preliminary study

    Science.gov (United States)

    Yuan, Fusong; Wang, Yong; Zhang, Yaopeng; Sun, Yuchun; Wang, Dangxiao; Lyu, Peijun

    2016-04-01

    The aim of this study is to validate the feasibility and accuracy of a new automatic tooth preparation technique in dental healthcare. An automatic tooth preparation robotic device with three-dimensional motion planning software was developed, which controlled an ultra-short pulse laser (USPL) beam (wavelength 1,064 nm, pulse width 15 ps, output power 30 W, and repeat frequency rate 100 kHz) to complete the tooth preparation process. A total of 15 freshly extracted human intact first molars were collected and fixed into a phantom head, and the target preparation shapes of these molars were designed using customised computer-aided design (CAD) software. The accuracy of tooth preparation was evaluated using the Geomagic Studio and Imageware software, and the preparing time of each tooth was recorded. Compared with the target preparation shape, the average shape error of the 15 prepared molars was 0.05–0.17 mm, the preparation depth error of the occlusal surface was approximately 0.097 mm, and the error of the convergence angle was approximately 1.0°. The average preparation time was 17 minutes. These results validated the accuracy and feasibility of the automatic tooth preparation technique.

  16. Production of antibodies which recognize opiate receptors on murine leukocytes

    Energy Technology Data Exchange (ETDEWEB)

    Carr, D.J.J.; Bost, K.L.; Blalock, J.E.

    1988-01-01

    An antibody has been developed which recognizes opiate receptors on cells of the immune system. This antibody blocks specific binding of the radiolabeled opiate receptor ligand, /sup 3/H-dihydromorphine, to receptors on murine splenocytes. Additionally, the anti-receptor antibody competes with ..beta..-endorphin, meta-enkephalin, and naloxone for the same binding site on the leukocytes. Moreover, the anti-receptor antibody possesses agonist activity similar to ..beta..-endorphin in suppressing cAMP production by lymphocytes. These results suggest the development of an antibody which recognizes classical opiate receptors on cells of the immune system.

  17. A Familiar-Size Stroop Effect: Real-World Size Is an Automatic Property of Object Representation

    Science.gov (United States)

    Konkle, Talia; Oliva, Aude

    2012-01-01

    When we recognize an object, do we automatically know how big it is in the world? We employed a Stroop-like paradigm, in which two familiar objects were presented at different visual sizes on the screen. Observers were faster to indicate which was bigger or smaller on the screen when the real-world size of the objects was congruent with the visual…

  18. Evaluation of information retrieval and text mining tools on automatic named entity extraction. Intelligence and security informatics. Proceedings

    OpenAIRE

    Kumar, Nishant; De Beer, Jan; Vanthienen, Jan; Moens, Marie-Francine

    2006-01-01

    We will report evaluation of Automatic Named Entity Extraction feature of IR tools on Dutch, French, and English text. The aim is to analyze the competency of off-the-shelf information extraction tools in recognizing entity types including person, organization, location, vehicle, time, & currency from unstructured text. Within such an evaluation one can compare the effectiveness of different approaches for identifying named entities.

  19. The Ability of Immunoglobulin Yolk Recognized the Antigen in the Tissue of Ascaridia galli

    OpenAIRE

    Darmawi; U. Balqis; M. Hambal; R. Tiuria; B.P Priosoeryanto; E Handharyani

    2012-01-01

    Antigen-antibody reaction is an important tool for the analysis of localization of target molecules, including antigenic protein within worm tissues. The purpose of the present research was to demonstrate the ability of immunoglobulin yolk (IgY) anti-excretory/secretory recognized the antigen in the tissue of Ascaridia galli by mean of immunohistochemistry method. The excretory/secretory protein was procured from A. galli and concentrated by mean of vivaspin 30,000 MWCO. IgY was produced by e...

  20. Automatic Generation of Technical Documentation

    CERN Document Server

    Reiter, E R; Levine, J; Reiter, Ehud; Mellish, Chris; Levine, John

    1994-01-01

    Natural-language generation (NLG) techniques can be used to automatically produce technical documentation from a domain knowledge base and linguistic and contextual models. We discuss this application of NLG technology from both a technical and a usefulness (costs and benefits) perspective. This discussion is based largely on our experiences with the IDAS documentation-generation project, and the reactions various interested people from industry have had to IDAS. We hope that this summary of our experiences with IDAS and the lessons we have learned from it will be beneficial for other researchers who wish to build technical-documentation generation systems.

  1. Unsupervised automatic music genre classification

    OpenAIRE

    Barreira, Luís Filipe Marques

    2010-01-01

    Trabalho apresentado no âmbito do Mestrado em Engenharia Informática, como requisito parcial para obtenção do grau de Mestre em Engenharia Informática In this study we explore automatic music genre recognition and classification of digital music. Music has always been a reflection of culture di erences and an influence in our society. Today’s digital content development triggered the massive use of digital music. Nowadays,digital music is manually labeled without following a universa...

  2. Real time automatic scene classification

    OpenAIRE

    Israël, Menno; Broek, van den, Wouter; Putten, van, M.J.A.M.; Uyl, den, T.M.; Verbrugge, R.; Taatgen, N.; Schomaker, L.

    2004-01-01

    This work has been done as part of the EU VICAR (IST) project and the EU SCOFI project (IAP). The aim of the first project was to develop a real time video indexing classification annotation and retrieval system. For our systems, we have adapted the approach of Picard and Minka [3], who categorized elements of a scene automatically with so-called ’stuff’ categories (e.g., grass, sky, sand, stone). Campbell et al. [1] use similar concepts to describe certain parts of an image, which they named...

  3. Annual review in automatic programming

    CERN Document Server

    Goodman, Richard

    2014-01-01

    Annual Review in Automatic Programming, Volume 4 is a collection of papers that deals with the GIER ALGOL compiler, a parameterized compiler based on mechanical linguistics, and the JOVIAL language. A couple of papers describes a commercial use of stacks, an IBM system, and what an ideal computer program support system should be. One paper reviews the system of compilation, the development of a more advanced language, programming techniques, machine independence, and program transfer to other machines. Another paper describes the ALGOL 60 system for the GIER machine including running ALGOL pro

  4. Automatic transcription of polyphonic singing

    OpenAIRE

    Paščinski, Uroš

    2015-01-01

    In this work we focus on automatic transcription of polyphonic singing. In particular we do the multiple fundamental frequency (F0) estimation. From the terrain recordings a test set of Slovenian folk songs with polyphonic singing is extracted and manually transcribed. On the test set we try the general algorithm for multiple F0 detection. An interactive visualization of the main parts of the algorithm is made to analyse how it works and try to detect possible issues. As the data set is ne...

  5. Automatic analysis of multiparty meetings

    Indian Academy of Sciences (India)

    Steve Renals

    2011-10-01

    This paper is about the recognition and interpretation of multiparty meetings captured as audio, video and other signals. This is a challenging task since the meetings consist of spontaneous and conversational interactions between a number of participants: it is a multimodal, multiparty, multistream problem. We discuss the capture and annotation of the Augmented Multiparty Interaction (AMI) meeting corpus, the development of a meeting speech recognition system, and systems for the automatic segmentation, summarization and social processing of meetings, together with some example applications based on these systems.

  6. Coordinated hybrid automatic repeat request

    KAUST Repository

    Makki, Behrooz

    2014-11-01

    We develop a coordinated hybrid automatic repeat request (HARQ) approach. With the proposed scheme, if a user message is correctly decoded in the first HARQ rounds, its spectrum is allocated to other users, to improve the network outage probability and the users\\' fairness. The results, which are obtained for single- and multiple-antenna setups, demonstrate the efficiency of the proposed approach in different conditions. For instance, with a maximum of M retransmissions and single transmit/receive antennas, the diversity gain of a user increases from M to (J+1)(M-1)+1 where J is the number of users helping that user.

  7. Effectiveness of an Automatic Tracking Software in Underwater Motion Analysis

    Directory of Open Access Journals (Sweden)

    Fabrício A. Magalhaes

    2013-12-01

    Full Text Available Tracking of markers placed on anatomical landmarks is a common practice in sports science to perform the kinematic analysis that interests both athletes and coaches. Although different software programs have been developed to automatically track markers and/or features, none of them was specifically designed to analyze underwater motion. Hence, this study aimed to evaluate the effectiveness of a software developed for automatic tracking of underwater movements (DVP, based on the Kanade-Lucas-Tomasi feature tracker. Twenty-one video recordings of different aquatic exercises (n = 2940 markers’ positions were manually tracked to determine the markers’ center coordinates. Then, the videos were automatically tracked using DVP and a commercially available software (COM. Since tracking techniques may produce false targets, an operator was instructed to stop the automatic procedure and to correct the position of the cursor when the distance between the calculated marker’s coordinate and the reference one was higher than 4 pixels. The proportion of manual interventions required by the software was used as a measure of the degree of automation. Overall, manual interventions were 10.4% lower for DVP (7.4% than for COM (17.8%. Moreover, when examining the different exercise modes separately, the percentage of manual interventions was 5.6% to 29.3% lower for DVP than for COM. Similar results were observed when analyzing the type of marker rather than the type of exercise, with 9.9% less manual interventions for DVP than for COM. In conclusion, based on these results, the developed automatic tracking software presented can be used as a valid and useful tool for underwater motion analysis.

  8. Automatic alignment of double optical paths in excimer laser amplifier

    Science.gov (United States)

    Wang, Dahui; Zhao, Xueqing; Hua, Hengqi; Zhang, Yongsheng; Hu, Yun; Yi, Aiping; Zhao, Jun

    2013-05-01

    A kind of beam automatic alignment method used for double paths amplification in the electron pumped excimer laser system is demonstrated. In this way, the beams from the amplifiers can be transferred along the designated direction and accordingly irradiate on the target with high stabilization and accuracy. However, owing to nonexistence of natural alignment references in excimer laser amplifiers, two cross-hairs structure is used to align the beams. Here, one crosshair put into the input beam is regarded as the near-field reference while the other put into output beam is regarded as the far-field reference. The two cross-hairs are transmitted onto Charge Coupled Devices (CCD) by image-relaying structures separately. The errors between intersection points of two cross-talk images and centroid coordinates of actual beam are recorded automatically and sent to closed loop feedback control mechanism. Negative feedback keeps running until preset accuracy is reached. On the basis of above-mentioned design, the alignment optical path is built and the software is compiled, whereafter the experiment of double paths automatic alignment in electron pumped excimer laser amplifier is carried through. Meanwhile, the related influencing factors and the alignment precision are analyzed. Experimental results indicate that the alignment system can achieve the aiming direction of automatic aligning beams in short time. The analysis shows that the accuracy of alignment system is 0.63μrad and the beam maximum restoration error is 13.75μm. Furthermore, the bigger distance between the two cross-hairs, the higher precision of the system is. Therefore, the automatic alignment system has been used in angular multiplexing excimer Main Oscillation Power Amplification (MOPA) system and can satisfy the requirement of beam alignment precision on the whole.

  9. Detection of Off-normal Images for NIF Automatic Alignment

    Energy Technology Data Exchange (ETDEWEB)

    Candy, J V; Awwal, A S; McClay, W A; Ferguson, S W; Burkhart, S C

    2005-07-11

    One of the major purposes of National Ignition Facility at Lawrence Livermore National Laboratory is to accurately focus 192 high energy laser beams on a nanoscale (mm) fusion target at the precise location and time. The automatic alignment system developed for NIF is used to align the beams in order to achieve the required focusing effect. However, if a distorted image is inadvertently created by a faulty camera shutter or some other opto-mechanical malfunction, the resulting image termed ''off-normal'' must be detected and rejected before further alignment processing occurs. Thus the off-normal processor acts as a preprocessor to automatic alignment image processing. In this work, we discuss the development of an ''off-normal'' pre-processor capable of rapidly detecting the off-normal images and performing the rejection. Wide variety of off-normal images for each loop is used to develop the criterion for rejections accurately.

  10. Evaluation of the Recognizing and Responding to Suicide Risk Training

    Science.gov (United States)

    Jacobson, Jodi Michelle; Osteen, Philip; Jones, Andrea; Berman, Alan

    2012-01-01

    Changes in attitudes, confidence, and practice behaviors were assessed among 452 clinicians who completed the training, Recognizing and Responding to Suicide Risk, and who work with clients at risk for suicide. Data were collected at three time points. Scores on measures of attitudes toward suicide prevention and confidence to work with clients at…

  11. Detecting Child Abuse: Recognizing Children at Risk through Drawings.

    Science.gov (United States)

    Cantlay, Lynne

    This guidebook is designed to help parents, teachers, day care professionals, nannies, and others in the childcare arena recognize signs of distress in children's drawings. The handbook is intended for those with little or no knowledge of art therapy. Information the book provides is a compilation of indicators that commonly appear in the drawings…

  12. 46 CFR 188.10-59 - Recognized classification society.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 7 2010-10-01 2010-10-01 false Recognized classification society. 188.10-59 Section 188.10-59 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) OCEANOGRAPHIC RESEARCH... classification society. This term means the American Bureau of Shipping or other classification...

  13. Recognizing Family Dynamics in the Treatment of Chronic Fatigue Syndrome

    Science.gov (United States)

    Sperry, Len

    2012-01-01

    Chronic fatigue syndrome (CFS) is an increasingly common chronic medical condition that affects not only patients but also their families. Because family dynamics, particularly the family life cycle, can and does influence the disease process, those providing counseling to CFS patients and their families would do well to recognize these dynamics.…

  14. 76 FR 33419 - Nationally Recognized Statistical Rating Organizations

    Science.gov (United States)

    2011-06-08

    ... ensure that a process is in place for employees to report failures to adhere to the internal control... Statistical Rating Organizations, Exchange Act Release No. 55857 (June 5, 2007), 72 FR 33564 (June 18, 2007..., 2009), 74 FR 6456 (Feb. 9, 2009) and Amendments to Rules for Nationally Recognized Statistical...

  15. Recognizing Risk-of-Failure in Communication Design Projects

    Science.gov (United States)

    Yee, Joyce; Lievesley, Matthew; Taylor, Louise

    2009-01-01

    The pace of commercial graphic design practice presents very few opportunities to conduct user research after a project's launch. This makes the design team's ability to anticipate and address risks during the design development phase even more important, recognized in the astute observation from Tim Brown, CEO of leading international design…

  16. The Civic (and Pedagogical) Virtue of Recognizing Reasonable Disagreement

    Science.gov (United States)

    Kunzman, Robert

    2006-01-01

    This paper argues for civic education that helps students recognize that reasonable people will disagree about the best ways to live, and that this recognition should frequently impel us toward compromise and accommodation in the public square. Fostering this virtue of reasonable disagreement will require a concerted curricular effort toward…

  17. Recognizing and Developing Adaptive Expertise within Outdoor and Expedition Leaders

    Science.gov (United States)

    Tozer, Mark; Fazey, Ioan; Fazey, John

    2007-01-01

    Adaptive expertise, an individual's ability to perform flexibly and innovatively in novel and unstructured situations, could have particular relevance for expedition and outdoor leaders. This element may be recognized in leadership practitioners who are able to act more effectively when problem-solving in complex, ambiguous and unpredictable…

  18. Recognize the Signs: Reading Young Adult Literature to Address Bullying

    Science.gov (United States)

    Pytash, Kristine E.; Morgan, Denise N.; Batchelor, Katherine E.

    2013-01-01

    This article summarizes preservice teachers' experiences in a book club that read young adult literature focused on issues related to bullying. Preservice teachers learned to recognize various incidents of bullying in the books. They also began to consider how they might handle incidents of bullying in their future classrooms. (Contains 2 figures.)

  19. 100+ Ways to Recognize and Reward Your School Staff

    Science.gov (United States)

    Houck, Emily E.

    2012-01-01

    When you're in a leadership position and can't control paychecks, what can you do to increase morale and lower staff turnover? Get this book and use the many practical ideas for motivating educators and creating a more positive work climate in schools. Author and experienced school leader Emily E. Houck explains: (1) Why recognizing and cheering…

  20. Development of monoclonal antibodies that recognize Treponema pallidum.

    OpenAIRE

    Saunders, J. M.; Folds, J D

    1983-01-01

    We developed a panel of monoclonal antibodies to Treponema pallidum (Nichols) antigens, some of which recognize treponemal antigens on T. pallidum (Nichols), T. pallidum strain 14, and Treponema phagedenis biotype Reiter. The antibodies were detected by either an enzyme-linked immunosorbent assay or a radioimmunoassay.

  1. A method for automatically constructing the initial contour of the common carotid artery

    OpenAIRE

    Yara Omran; Kamil Riha

    2013-01-01

    In this article we propose a novel method to automatically set the initial contour that is used by the Active contours algorithm.The proposed method exploits the accumulative intensity profiles to locate the points on the arterial wall. The intensity profiles of sections that intersect the artery show distinguishable characterstics that make it possible to recognize them from the profiles of sections that do not intersect the artery walls. The proposed method is applied on ultrasound images o...

  2. Adaptive Gearshift Strategy Based on Generalized Load Recognition for Automatic Transmission Vehicles

    OpenAIRE

    Yulong Lei; Ke Liu; Yuanxia Zhang; Yao Fu; Hongbo Liu; Ge Lin; Hui Tang

    2015-01-01

    Recognizing various driving conditions in real time and adjusting control strategy accordingly in automatic transmission vehicles are important to improve their adaptability to the external environment. This study defines a generalized load concept which can comprehensively reflect driving condition information. The principle of a gearshift strategy based on generalized load is deduced theoretically, adopting linear interpolation between the shift lines on flat and on the largest gradient roa...

  3. Using Nanoinformatics Methods for Automatically Identifying Relevant Nanotoxicology Entities from the Literature

    OpenAIRE

    Miguel García-Remesal; Alejandro García-Ruiz; David Pérez-Rey; Diana de la Iglesia; Víctor Maojo

    2013-01-01

    Nanoinformatics is an emerging research field that uses informatics techniques to collect, process, store, and retrieve data, information, and knowledge on nanoparticles, nanomaterials, and nanodevices and their potential applications in health care. In this paper, we have focused on the solutions that nanoinformatics can provide to facilitate nanotoxicology research. For this, we have taken a computational approach to automatically recognize and extract nanotoxicology-related entities from t...

  4. Method for automatic control rod operation using rule-based control

    International Nuclear Information System (INIS)

    An automatic control rod operation method using rule-based control is proposed. Its features are as follows: (1) a production system to recognize plant events, determine control actions and realize fast inference (fast selection of a suitable production rule), (2) use of the fuzzy control technique to determine quantitative control variables. The method's performance was evaluated by simulation tests on automatic control rod operation at a BWR plant start-up. The results were as follows; (1) The performance which is related to stabilization of controlled variables and time required for reactor start-up, was superior to that of other methods such as PID control and program control methods, (2) the process time to select and interpret the suitable production rule, which was the same as required for event recognition or determination of control action, was short (below 1 s) enough for real time control. The results showed that the method is effective for automatic control rod operation. (author)

  5. Molecular Targets for Targeted Radionuclide Therapy

    International Nuclear Information System (INIS)

    radiolabelled regulatory peptides and their metabolically stabilised analogues. Antigen epitopes: Antibodies, as unlabelled biological drugs, are becoming of increasing interest. They exert an antibody-dependent cellular cytotoxicity which leads to lysis of tumour cells. Radiolabelled versions of these (and other) antibodies are being developed worldwide. The disadvantage of the long circulating time of antibodies can be solved by engineering fragments such as diabodies, bivalent single chain variable fragments (scFv), minibodies or by pretargeting approaches. Transmembrane transporters: Other interesting targets are transporters for radiolabelled amino acids and nutrients. Cancer cells require an increased supply of many such nutrients and obtain these by increased expression of some types of amino-acid transporter. A more detailed analysis of the relationship between amino-acid uptake and transporter expression in normal and malignant cells would be very valuable in identifying the clinical therapeutic potential of this class of tracer. Tumour blood supply: Tumours require an efficient blood supply to grow and metastatise and active angiogenesis of new blood vessels is a feature of many tumours. Specific receptors expressed during this process represent a novel class of targets for TRT. Extra-cellular matrix: Recently, another relevant class of target antigens has raised interest. Lectins, or carbohydrate binding proteins, recognize specific oligosaccharide structures on glycoproteins and glycolipids. It is well known that protein and lipid glycosylation are consistently altered in cancer cells for the aberrant activity of specific glycosyltransferase and glycosydases. Experimental evidence demonstrated that tumor growth and progression may depend, at least in part, on the presence of altered glycoproteins on the cell surface, which can mediate aberrant receptor-ligand interactions. (author)

  6. Automatic generation of tourist brochures

    KAUST Repository

    Birsak, Michael

    2014-05-01

    We present a novel framework for the automatic generation of tourist brochures that include routing instructions and additional information presented in the form of so-called detail lenses. The first contribution of this paper is the automatic creation of layouts for the brochures. Our approach is based on the minimization of an energy function that combines multiple goals: positioning of the lenses as close as possible to the corresponding region shown in an overview map, keeping the number of lenses low, and an efficient numbering of the lenses. The second contribution is a route-aware simplification of the graph of streets used for traveling between the points of interest (POIs). This is done by reducing the graph consisting of all shortest paths through the minimization of an energy function. The output is a subset of street segments that enable traveling between all the POIs without considerable detours, while at the same time guaranteeing a clutter-free visualization. © 2014 The Author(s) Computer Graphics Forum © 2014 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd.

  7. Automatic scanning for nuclear emulsion

    International Nuclear Information System (INIS)

    Automatic scanning systems have been recently developed for application in neutrino experiments exploiting nuclear emulsion detectors of particle tracks. These systems speed up substantially the analysis of events in emulsion, allowing the realisation of experiments with unprecedented statistics. The pioneering work on automatic scanning has been done by the University of Nagoya (Japan). The so called new track selector has a very good reproducibility in position (∼1 μm) and angle (∼3 mrad), with the possibility to reconstruct, in about 3 s, all the tracks in a view of 150x150 μm2 and 1 mm of thickness. A new system (ultratrack selector), with speed higher by one order of magnitude, has started to be in operation. R and D programs are going on in Nagoya and in other laboratories for new systems. The scanning speed in nuclear emulsion be further increased by an order of magnitude. The recent progress in the technology of digital signal processing and of image acquisition systems (CCDs and fast frame grabbers) allows the realisation of systems with high performance. New interesting applications of the technique in other fields (e.g. in biophysics) have recently been envisaged

  8. SRV-automatic handling device

    International Nuclear Information System (INIS)

    Automatic handling device for the steam relief valves (SRV's) is developed in order to achieve a decrease in exposure of workers, increase in availability factor, improvement in reliability, improvement in safety of operation, and labor saving. A survey is made during a periodical inspection to examine the actual SVR handling operation. An SRV automatic handling device consists of four components: conveyor, armed conveyor, lifting machine, and control/monitoring system. The conveyor is so designed that the existing I-rail installed in the containment vessel can be used without any modification. This is employed for conveying an SRV along the rail. The armed conveyor, designed for a box rail, is used for an SRV installed away from the rail. By using the lifting machine, an SRV installed away from the I-rail is brought to a spot just below the rail so that the SRV can be transferred by the conveyor. The control/monitoring system consists of a control computer, operation panel, TV monitor and annunciator. The SRV handling device is operated by remote control from a control room. A trial equipment is constructed and performance/function testing is carried out using actual SRV's. As a result, is it shown that the SRV handling device requires only two operators to serve satisfactorily. The required time for removal and replacement of one SRV is about 10 minutes. (Nogami, K.)

  9. Automatic validation of numerical solutions

    DEFF Research Database (Denmark)

    Stauning, Ole

    1997-01-01

    This thesis is concerned with ``Automatic Validation of Numerical Solutions''. The basic theory of interval analysis and self-validating methods is introduced. The mean value enclosure is applied to discrete mappings for obtaining narrow enclosures of the iterates when applying these mappings wit...... the mean value enclosure of an integral operator and uses interval Bernstein polynomials for enclosing the solution. Two numerical examples are given, using two orders of approximation and using different numbers of discretization points.......This thesis is concerned with ``Automatic Validation of Numerical Solutions''. The basic theory of interval analysis and self-validating methods is introduced. The mean value enclosure is applied to discrete mappings for obtaining narrow enclosures of the iterates when applying these mappings with...... intervals as initial values. A modification of the mean value enclosure of discrete mappings is considered, namely the extended mean value enclosure which in most cases leads to even better enclosures. These methods have previously been described in connection with discretizing solutions of ordinary...

  10. Automatic Differentiation of Algorithms for Machine Learning

    OpenAIRE

    Baydin, Atilim Gunes; Pearlmutter, Barak A.

    2014-01-01

    Automatic differentiation --- the mechanical transformation of numeric computer programs to calculate derivatives efficiently and accurately --- dates to the origin of the computer age. Reverse mode automatic differentiation both antedates and generalizes the method of backwards propagation of errors used in machine learning. Despite this, practitioners in a variety of fields, including machine learning, have been little influenced by automatic differentiation, and make scant use of available...

  11. Automatic Speech Segmentation Based on HMM

    OpenAIRE

    M. Kroul

    2007-01-01

    This contribution deals with the problem of automatic phoneme segmentation using HMMs. Automatization of speech segmentation task is important for applications, where large amount of data is needed to process, so manual segmentation is out of the question. In this paper we focus on automatic segmentation of recordings, which will be used for triphone synthesis unit database creation. For speech synthesis, the speech unit quality is a crucial aspect, so the maximal accuracy in segmentation is ...

  12. Automatic Control of Water Pumping Stations

    Institute of Scientific and Technical Information of China (English)

    Muhannad Alrheeh; JIANG Zhengfeng

    2006-01-01

    Automatic Control of pumps is an interesting proposal to operate water pumping stations among many kinds of water pumping stations according to their functions.In this paper, our pumping station is being used for water supply system. This paper is to introduce the idea of pump controller and the important factors that must be considering when we want to design automatic control system of water pumping stations. Then the automatic control circuit with the function of all components will be introduced.

  13. Automatic inference of specifications using matching logic

    OpenAIRE

    Alpuente Frasnedo, María; Feliú Gabaldón, Marco Antonio; Villanueva García, Alicia

    2013-01-01

    Formal specifications can be used for various software engineering activities ranging from finding errors to documenting software and automatic test-case generation. Automatically discovering specifications for heap-manipulating programs is a challenging task. In this paper, we propose a technique for automatically inferring formal specifications from C code which is based on the symbolic execution and automated reasoning tandem "MATCHING LOGIC /K framework". We implemented our technique for ...

  14. An automatic visual analysis system for tennis

    OpenAIRE

    Connaghan, Damien; Moran, Kieran; O''Connor, Noel E.

    2013-01-01

    This article presents a novel video analysis system for coaching tennis players of all levels, which uses computer vision algorithms to automatically edit and index tennis videos into meaningful annotations. Existing tennis coaching software lacks the ability to automatically index a tennis match into key events, and therefore, a coach who uses existing software is burdened with time-consuming manual video editing. This work aims to explore the effectiveness of a system to automatically de...

  15. Automatic Specification Evaluator for Effective Migration

    Directory of Open Access Journals (Sweden)

    P. Sakthivel

    2012-01-01

    Full Text Available Problem statement: Software Reengineering is an effective technique for reuse the older application in the new environment. Nowadays, Reengineering techniques are increasing in spite of many difficulties and issues arise when the older application is converted to newer one. So there is a need to enhance the new system to satisfy the user requirements and quality aspects. Approach: For this enhancement of new system, we propose a method namely Automatic Specification Evaluator (ASE where the interference and their effects on the new system were identified by their attributes and modify the interference if necessary. The accuracy of the migration was further increased by reimplementation of the same method. Results: After the proposed ASE method, the system interference was reduced and the efficiency of the new system was improved. In many migration situations, ASE produces the target system with zero interference. Conclusion: Our proposed method gives a good performance in the new system and hence the new system can adopt the properties of the legacy system and also satisfies the user requirements

  16. Fuzzy logic in automatic control devices

    International Nuclear Information System (INIS)

    Fuzzy logic is a theory that, applied to an automatic control device, allows to perform a regulation as efficiently as an operating expert could have done manually. The description of the behaviour of a regulation system implies the use of laws such as 'if...then', these laws link input variables that are 'conditions' to output variables that are 'conclusions'. In DAPNIA facilities fuzzy logic has been used to improve the performances of 3 control systems: -the regulation of the helium cycle compressor of a condenser, this regulation has required 21 laws, 4 conditions and 3 conclusions, -the regulation of the temperature of the LHC testing station at STCM, and -the regulation of the temperature of hydrogen target for the CLAS experiment, by means of fuzzy logic temperature stability has been driven from ±150 mK to ±20 mK, this regulation is based on 9 laws, 2 conditions and 2 conclusions. The application of fuzzy logic to regulation is presented on a simple example. (A.C.)

  17. Automatic Energy Schemes for High Performance Applications

    Energy Technology Data Exchange (ETDEWEB)

    Sundriyal, Vaibhav [Iowa State Univ., Ames, IA (United States)

    2013-01-01

    Although high-performance computing traditionally focuses on the efficient execution of large-scale applications, both energy and power have become critical concerns when approaching exascale. Drastic increases in the power consumption of supercomputers affect significantly their operating costs and failure rates. In modern microprocessor architectures, equipped with dynamic voltage and frequency scaling (DVFS) and CPU clock modulation (throttling), the power consumption may be controlled in software. Additionally, network interconnect, such as Infiniband, may be exploited to maximize energy savings while the application performance loss and frequency switching overheads must be carefully balanced. This work first studies two important collective communication operations, all-to-all and allgather and proposes energy saving strategies on the per-call basis. Next, it targets point-to-point communications to group them into phases and apply frequency scaling to them to save energy by exploiting the architectural and communication stalls. Finally, it proposes an automatic runtime system which combines both collective and point-to-point communications into phases, and applies throttling to them apart from DVFS to maximize energy savings. The experimental results are presented for NAS parallel benchmark problems as well as for the realistic parallel electronic structure calculations performed by the widely used quantum chemistry package GAMESS. Close to the maximum energy savings were obtained with a substantially low performance loss on the given platform.

  18. Neuroanatomical Correlates of Recognizing Face Expressions in Mild Stages of Alzheimer's Disease.

    Directory of Open Access Journals (Sweden)

    Laurie-Anne Sapey-Triomphe

    Full Text Available Early Alzheimer's disease can involve social disinvestment, possibly as a consequence of impairment of nonverbal communication skills. This study explores whether patients with Alzheimer's disease at the mild cognitive impairment or mild dementia stage have impaired recognition of emotions in facial expressions, and describes neuroanatomical correlates of emotion processing impairment. As part of the ongoing PACO study (personality, Alzheimer's disease and behaviour, 39 patients with Alzheimer's disease at the mild cognitive impairment or mild dementia stage and 39 matched controls completed tests involving discrimination of four basic emotions-happiness, fear, anger, and disgust-on photographs of faces. In patients, automatic volumetry of 83 brain regions was performed on structural magnetic resonance images using MAPER (multi-atlas propagation with enhanced registration. From the literature, we identified for each of the four basic emotions one brain region thought to be primarily associated with the function of recognizing that emotion. We hypothesized that the volume of each of these regions would be correlated with subjects' performance in recognizing the associated emotion. Patients showed deficits of basic emotion recognition, and these impairments were correlated with the volumes of the expected regions of interest. Unexpectedly, most of these correlations were negative: better emotional facial recognition was associated with lower brain volume. In particular, recognition of fear was negatively correlated with the volume of amygdala, disgust with pallidum, and happiness with fusiform gyrus. Recognition impairment in mild stages of Alzheimer's disease for a given emotion was thus associated with less visible atrophy of functionally responsible brain structures within the patient group. Possible explanations for this counterintuitive result include neuroinflammation, regional β-amyloid deposition, or transient overcompensation during

  19. SEMI-AUTOMATIC SPEAKER VERIFICATION SYSTEM

    Directory of Open Access Journals (Sweden)

    E. V. Bulgakova

    2016-03-01

    Full Text Available Subject of Research. The paper presents a semi-automatic speaker verification system based on comparing of formant values, statistics of phone lengths and melodic characteristics as well. Due to the development of speech technology, there is an increased interest now in searching for expert speaker verification systems, which have high reliability and low labour intensiveness because of the automation of data processing for the expert analysis. System Description. We present a description of a novel system analyzing similarity or distinction of speaker voices based on comparing statistics of phone lengths, formant features and melodic characteristics. The characteristic feature of the proposed system based on fusion of methods is a weak correlation between the analyzed features that leads to a decrease in the error rate of speaker recognition. The system advantage is the possibility to carry out rapid analysis of recordings since the processes of data preprocessing and making decision are automated. We describe the functioning methods as well as fusion of methods to combine their decisions. Main Results. We have tested the system on the speech database of 1190 target trials and 10450 non-target trials, including the Russian speech of the male and female speakers. The recognition accuracy of the system is 98.59% on the database containing records of the male speech, and 96.17% on the database containing records of the female speech. It was also experimentally established that the formant method is the most reliable of all used methods. Practical Significance. Experimental results have shown that proposed system is applicable for the speaker recognition task in the course of phonoscopic examination.

  20. Research on automatic loading & unloading technology for vertical hot ring rolling process

    Directory of Open Access Journals (Sweden)

    Xiaokai Wang

    2015-01-01

    Full Text Available The automatic loading & unloading technology is the key to the automatic ring production line. In this paper, the automatic vertical hot ring rolling (VHRR process is taken as the target, the method of the loading & unloading for VHRR is proposed, and the mechanical structure of loading & unloading system is designed, The virtual prototype model of VHRR mill and loading & unloading mechanism is established, and the coordinated control method of VHRR mill and loading & unloading auxiliaries is studied, the movement trace and dynamic characteristic of the critical components are obtained. Finally, a series of hot ring rolling tests are conducted on the VHRR mill, and the production rhythm and the formed rings' geometric precision are analysed. The tests results show that the loading & unloading technology can meet the high quality and high efficiency ring production requirement. The research conclusions have practical significance for the large-scale automatic ring production.

  1. CERN: Fixed target targets

    International Nuclear Information System (INIS)

    Full text: While the immediate priority of CERN's research programme is to exploit to the full the world's largest accelerator, the LEP electron-positron collider and its concomitant LEP200 energy upgrade (January, page 1), CERN is also mindful of its long tradition of diversified research. Away from LEP and preparations for the LHC proton-proton collider to be built above LEP in the same 27-kilometre tunnel, CERN is also preparing for a new generation of heavy ion experiments using a new source, providing heavier ions (April 1992, page 8), with first physics expected next year. CERN's smallest accelerator, the LEAR Low Energy Antiproton Ring continues to cover a wide range of research topics, and saw a record number of hours of operation in 1992. The new ISOLDE on-line isotope separator was inaugurated last year (July, page 5) and physics is already underway. The remaining effort concentrates around fixed target experiments at the SPS synchrotron, which formed the main thrust of CERN's research during the late 1970s. With the SPS and LEAR now approaching middle age, their research future was extensively studied last year. Broadly, a vigorous SPS programme looks assured until at least the end of 1995. Decisions for the longer term future of the West Experimental Area of the SPS will have to take into account the heavy demand for test beams from work towards experiments at big colliders, both at CERN and elsewhere. The North Experimental Area is the scene of larger experiments with longer lead times. Several more years of LEAR exploitation are already in the pipeline, but for the longer term, the ambitious Superlear project for a superconducting ring (January 1992, page 7) did not catch on. Neutrino physics has a long tradition at CERN, and this continues with the preparations for two major projects, the Chorus and Nomad experiments (November 1991, page 7), to start next year in the West Area. Delicate neutrino oscillation effects could become

  2. Federally-Recognized Tribes of the Columbia-Snake Basin.

    Energy Technology Data Exchange (ETDEWEB)

    United States. Bonneville Power Administration

    1997-11-01

    This is an omnibus publication about the federally-recognized Indian tribes of the Columbia-Snake river basin, as presented by themselves. It showcases several figurative and literal snapshots of each tribe, bits and pieces of each tribe`s story. Each individual tribe or tribal confederation either submitted its own section to this publication, or developed its own section with the assistance of the writer-editor. A federally-recognized tribe is an individual Indian group, or confederation of Indian groups, officially acknowledged by the US government for purposes of legislation, consultation and benefits. This publication is designed to be used both as a resource and as an introduction to the tribes. Taken together, the sections present a rich picture of regional indian culture and history, as told by the tribes.

  3. Recognizing intentions in infant-directed speech: evidence for universals.

    Science.gov (United States)

    Bryant, Gregory A; Barrett, H Clark

    2007-08-01

    In all languages studied to date, distinct prosodic contours characterize different intention categories of infant-directed (ID) speech. This vocal behavior likely exists universally as a species-typical trait, but little research has examined whether listeners can accurately recognize intentions in ID speech using only vocal cues, without access to semantic information. We recorded native-English-speaking mothers producing four intention categories of utterances (prohibition, approval, comfort, and attention) as both ID and adult-directed (AD) speech, and we then presented the utterances to Shuar adults (South American hunter-horticulturalists). Shuar subjects were able to reliably distinguish ID from AD speech and were able to reliably recognize the intention categories in both types of speech, although performance was significantly better with ID speech. This is the first demonstration that adult listeners in an indigenous, nonindustrialized, and nonliterate culture can accurately infer intentions from both ID speech and AD speech in a language they do not speak. PMID:17680948

  4. A system of automatic speaker recognition on a minicomputer

    International Nuclear Information System (INIS)

    This study describes a system of automatic speaker recognition using the pitch of the voice. The pre-treatment consists in the extraction of the speakers' discriminating characteristics taken from the pitch. The programme of recognition gives, firstly, a preselection and then calculates the distance between the speaker's characteristics to be recognized and those of the speakers already recorded. An experience of recognition has been realized. It has been undertaken with 15 speakers and included 566 tests spread over an intermittent period of four months. The discriminating characteristics used offer several interesting qualities. The algorithms concerning the measure of the characteristics on one hand, the speakers' classification on the other hand, are simple. The results obtained in real time with a minicomputer are satisfactory. Furthermore they probably could be improved if we considered other speaker's discriminating characteristics but this was unfortunately not in our possibilities. (author)

  5. Automatic recognition of bone for x-ray bone densitometry

    Science.gov (United States)

    Shepp, Larry A.; Vardi, Y.; Lazewatsky, J.; Libeau, James; Stein, Jay A.

    1991-06-01

    We described a method for automatically identifying and separating pixels representing bone from those representing soft tissue in a dual- energy point-scanned projection radiograph of the abdomen. In order to achieve stable quantitative measurement of projected bone mineral density, a calibration using sample bone in regions containing only soft tissue must be performed. In addition, the projected area of bone must be measured. We show that, using an image with a realistically low noise, the histogram of pixel values exhibits a well-defined peak corresponding to the soft tissue region. A threshold at a fixed multiple of the calibration segment value readily separates bone from soft tissue in a wide variety of patient studies. Our technique, which is employed in the Hologic QDR-1000 Bone Densitometer, is rapid, robust, and significantly simpler than a conventional artificial intelligence approach using edge-detection to define objects and expert systems to recognize them.

  6. Capsular Weakness around Breast Implant: A Non-Recognized Complication

    OpenAIRE

    Arquero, Pedro Salinero; Zanata, Fabiana Cristina; Ferreira, Lydia Masako; Nahas, Fabio Xerfan

    2015-01-01

    Capsular contraction is a frequent complication following breast augmentation. On the other hand, capsular weakness, a not widely recognized complication, may occur around the implant. A weak capsule allows the migration of the prosthesis to the lateral region of the thoracic region or inferiorly, towards the abdomen, due to gravitational forces. The cause of capsular weakness remains unresolved. Implant malposition, with lateral or downward displacement, breast asymmetry, improper contour, w...

  7. Strategic Sustainable Investing : Recognizing Value in Transitional Leadership

    OpenAIRE

    Blandford, Nicholas; Nash, Timothy; Winter, André

    2008-01-01

    Institutional Investors own a large share of publicly traded companies, controlling a significant amount of the economy‟s working capital. These investors currently use little or no sustainability-related information to make their decisions, reinforcing a loop of increasingly unsustainable growth. This paper puts forward a new investment strategy that recognizes true movement towards sustainability and its link with bottom line benefits for investors: Strategic Sustainable Investing (SSI). To...

  8. T Cells Recognizing a Peptide Contaminant Undetectable by Mass Spectrometry

    OpenAIRE

    Brezar, Vedran; Culina, Slobodan; Østerbye, Thomas; Guillonneau, François; Chiappetta, Giovanni; Verdier, Yann; Vinh, Joelle; Wong, F. Susan; Buus, Søren; Mallone, Roberto

    2011-01-01

    Synthetic peptides are widely used in immunological research as epitopes to stimulate their cognate T cells. These preparations are never completely pure, but trace contaminants are commonly revealed by mass spectrometry quality controls. In an effort to characterize novel major histocompatibility complex (MHC) Class I-restricted β-cell epitopes in non-obese diabetic (NOD) mice, we identified islet-infiltrating CD8+ T cells recognizing a contaminating peptide. The amount of this contaminant w...

  9. Combined pulmonary fibrosis and emphysema: an increasingly recognized condition

    OpenAIRE

    Olívia Meira Dias; Bruno Guedes Baldi; André Nathan Costa; Carlos Roberto Ribeiro de Carvalho

    2014-01-01

    Combined pulmonary fibrosis and emphysema (CPFE) has been increasingly recognized in the literature. Patients with CPFE are usually heavy smokers or former smokers with concomitant lower lobe fibrosis and upper lobe emphysema on chest HRCT scans. They commonly present with severe breathlessness and low DLCO, despite spirometry showing relatively preserved lung volumes. Moderate to severe pulmonary arterial hypertension is common in such patients, who are also at an increased risk of developin...

  10. Combined pulmonary fibrosis and emphysema: an increasingly recognized condition* **

    OpenAIRE

    Dias, Olívia Meira; Baldi, Bruno Guedes; Costa, André Nathan; Carvalho, Carlos Roberto Ribeiro

    2014-01-01

    Combined pulmonary fibrosis and emphysema (CPFE) has been increasingly recognized in the literature. Patients with CPFE are usually heavy smokers or former smokers with concomitant lower lobe fibrosis and upper lobe emphysema on chest HRCT scans. They commonly present with severe breathlessness and low DLCO, despite spirometry showing relatively preserved lung volumes. Moderate to severe pulmonary arterial hypertension is common in such patients, who are also at an increased risk of developin...

  11. Osteitis Pubis After TURP: A Rare Complication Difficult to Recognize

    OpenAIRE

    Pieter Jan Elshout; Pieter Verleyen; Guy Putzeys

    2015-01-01

    TURP is a widespread urologic procedure that is performed by many urologists. This report describes a rare complication that causes serious morbidity because it is not recognized in time. This is also the first report of a prostatosymphyseal fistula treated without major surgery. Eventually diagnosis is made by a MRI 5 months after surgery. Decompressive surgery was necessary to treat pubic osteïtis with invalidating pain. Culture results revealed Escherichia coli but eventually the diagnosis...

  12. Craig Reynolds: Recognized for Excellence in Medicine | Poster

    Science.gov (United States)

    The Distinguished Alumni Award is one of the most prestigious awards at the University of Iowa Roy J. and Lucille A. Carver College of Medicine. This award recognizes influential alumni who have achieved excellence in the art and science of medicine. One of this year’s recipients is Craig Reynolds, Ph.D., associate director, NCI. When asked how he felt about receiving this award, Reynolds responded, “Really good, I was pleased to even be nominated.”

  13. An emergency command recognizer for voiced system control

    Science.gov (United States)

    Wetterlind, P.; Johnston, Waymon L.

    1987-10-01

    An algorithm for accepting speaker-independent voiced input, aimed especially at accommodating emergency acoustic commands, is described. The algorithm is directed toward correctly identifying commands from speaker-independent acoustic input using machine recognition of common, standarized phonemic input, using these recognized sounds to reconstruct entire words and phrases. Speaker-dependent phonemes are not used during the command reconstruction process, so that speaker idiosyncracies are accommodated. Machine recognition extends to voice pitch and emotional tension characteristics.

  14. Recognizing intentions in infant-directed speech: Evidence for universals

    OpenAIRE

    Bryant, GA; Barrett, HC

    2007-01-01

    In all languages studied to date, distinct prosodic contours characterize different intention categories of infant-directed (ID) speech. This vocal behavior likely exists universally as a species-typical trait, but little research has examined whether listeners can accurately recognize intentions in ID speech using only vocal cues, without access to semantic information. We recorded native-English-speaking mothers producing four intention categories of utterances (prohibition, approval, comfo...

  15. Recognizing shipbuilding parts using artificial neural networks and Fourier descriptors

    OpenAIRE

    Sanders, David

    2009-01-01

    A pattern recognition system is described for recognizing shipbuilding parts using artificial neural networks and Fourier descriptors. The system uses shape contour information that is invariant of size, translation, and rotation. Fourier descriptors provide information, and the neural networks make decisions about the shapes. A brief review of the current state of the art is included, and results from testing show that the system distinguished between various shapes and proved to be a valid ...

  16. Super-Memorizers Are Not Super-Recognizers

    OpenAIRE

    Ramon, Meike; Miellet, Sebastien; Dzieciol, Anna M.; Konrad, Boris Nikolai; Dresler, Martin; Caldara, Roberto

    2016-01-01

    Humans have a natural expertise in recognizing faces. However, the nature of the interaction between this critical visual biological skill and memory is yet unclear. Here, we had the unique opportunity to test two individuals who have had exceptional success in the World Memory Championships, including several world records in face-name association memory. We designed a range of face processing tasks to determine whether superior/expert face memory skills are associated with distinctive perce...

  17. Lifting as We Climb: Recognizing Intersectional Gender Violence in Law

    OpenAIRE

    Shreya Atrey

    2015-01-01

    This paper interrogates the meaning of lifting all women as we climb the ladder of gender equality and justice by recognizing that gender violence affects women differently. This is because violence against women is perpetrated not only on the basis of their gender or sex but also other identities of race, religion, caste, region, age, disability, nationality, sexual orientation etc. With reference to CEDAW jurisprudence and examples from India, I seek to explain this understanding with the h...

  18. Patient Selection in Plastic Surgery: Recognizing Body Dysmorphic Disorder

    OpenAIRE

    Cihan Sahin; Onat Yilmaz; Yalcin Bayram; Huseyin Karagoz; Celalettin Sever; Yalcin Kulahci; Alpay Ates

    2013-01-01

    Plastic surgery is a branch of medicine that provides significant improvements to the people with positive changes. But first of all, this branch has a characteristic which requires analysing patients' psychological situation very carefully. Plastic surgeons are often confronted by patients with mental disorders seeking aesthetic surgery. It is imperative for surgeons to recognize possible underlying psychiatric illnesses. Common psychiatric conditions seen in cosmetic surgery patients includ...

  19. Comprehensive Context Recognizer Based on Multimodal Sensors in a Smartphone

    Directory of Open Access Journals (Sweden)

    Sungyoung Lee

    2012-09-01

    Full Text Available Recent developments in smartphones have increased the processing capabilities and equipped these devices with a number of built-in multimodal sensors, including accelerometers, gyroscopes, GPS interfaces, Wi-Fi access, and proximity sensors. Despite the fact that numerous studies have investigated the development of user-context aware applications using smartphones, these applications are currently only able to recognize simple contexts using a single type of sensor. Therefore, in this work, we introduce a comprehensive approach for context aware applications that utilizes the multimodal sensors in smartphones. The proposed system is not only able to recognize different kinds of contexts with high accuracy, but it is also able to optimize the power consumption since power-hungry sensors can be activated or deactivated at appropriate times. Additionally, the system is able to recognize activities wherever the smartphone is on a human’s body, even when the user is using the phone to make a phone call, manipulate applications, play games, or listen to music. Furthermore, we also present a novel feature selection algorithm for the accelerometer classification module. The proposed feature selection algorithm helps select good features and eliminates bad features, thereby improving the overall accuracy of the accelerometer classifier. Experimental results show that the proposed system can classify eight activities with an accuracy of 92.43%.

  20. Recognizing surgeon's actions during suture operations from video sequences

    Science.gov (United States)

    Li, Ye; Ohya, Jun; Chiba, Toshio; Xu, Rong; Yamashita, Hiromasa

    2014-03-01

    Because of the shortage of nurses in the world, the realization of a robotic nurse that can support surgeries autonomously is very important. More specifically, the robotic nurse should be able to autonomously recognize different situations of surgeries so that the robotic nurse can pass necessary surgical tools to the medical doctors in a timely manner. This paper proposes and explores methods that can classify suture and tying actions during suture operations from the video sequence that observes the surgery scene that includes the surgeon's hands. First, the proposed method uses skin pixel detection and foreground extraction to detect the hand area. Then, interest points are randomly chosen from the hand area so that their 3D SIFT descriptors are computed. A word vocabulary is built by applying hierarchical K-means to these descriptors, and the words' frequency histogram, which corresponds to the feature space, is computed. Finally, to classify the actions, either SVM (Support Vector Machine), Nearest Neighbor rule (NN) for the feature space or a method that combines "sliding window" with NN is performed. We collect 53 suture videos and 53 tying videos to build the training set and to test the proposed method experimentally. It turns out that the NN gives higher than 90% accuracies, which are better recognition than SVM. Negative actions, which are different from either suture or tying action, are recognized with quite good accuracies, while "Sliding window" did not show significant improvements for suture and tying and cannot recognize negative actions.

  1. Smart responsive microcapsules capable of recognizing heavy metal ions.

    Science.gov (United States)

    Pi, Shuo-Wei; Ju, Xiao-Jie; Wu, Han-Guang; Xie, Rui; Chu, Liang-Yin

    2010-09-15

    Smart responsive microcapsules capable of recognizing heavy metal ions are successfully prepared with oil-in-water-in-oil double emulsions as templates for polymerization in this study. The microcapsules are featured with thin poly(N-isopropylacrylamide-co-benzo-18-crown-6-acrylamide) (P(NIPAM-co-BCAm)) membranes, and they can selectively recognize special heavy metal ions such as barium(II) or lead(II) ions very well due to the "host-guest" complexation between the BCAm receptors and barium(II) or lead(II) ions. The stable BCAm/Ba(2+) or BCAm/Pb(2+) complexes in the P(NIPAM-co-BCAm) membrane cause a positive shift of the volume phase transition temperature of the crosslinked P(NIPAM-co-BCAm) hydrogel to a higher temperature, and the repulsion among the charged BCAm/Ba(2+) or BCAm/Pb(2+) complexes and the osmotic pressure within the P(NIPAM-co-BCAm) membranes result in the swelling of microcapsules. Induced by recognizing barium(II) or lead(II) ions, the prepared microcapsules with P(NIPAM-co-BCAm) membranes exhibit isothermal and significant swelling not only in outer and inner diameters but also in the membrane thickness. The proposed microcapsules in this study are highly attractive for developing smart sensors and/or carriers for detection and/or elimination of heavy metal ions. PMID:20656104

  2. Automatic gamma spectrometry analytical apparatus

    International Nuclear Information System (INIS)

    This invention falls within the area of quantitative or semi-quantitative analysis by gamma spectrometry and particularly refers to a device for bringing the samples into the counting position. The purpose of this invention is precisely to provide an automatic apparatus specifically adapted to the analysis of hard gamma radiations. To this effect, the invention relates to a gamma spectrometry analytical device comprising a lead containment, a detector of which the sensitive part is located inside the containment and additionally comprising a transfer system for bringing the analyzed samples in succession to a counting position inside the containment above the detector. A feed compartment enables the samples to be brought in turn one by one on to the transfer system through a duct connecting the compartment to the transfer system. Sequential systems for the coordinated forward feed of the samples in the compartment and the transfer system complete this device

  3. Automatic home medical product recommendation.

    Science.gov (United States)

    Luo, Gang; Thomas, Selena B; Tang, Chunqiang

    2012-04-01

    Web-based personal health records (PHRs) are being widely deployed. To improve PHR's capability and usability, we proposed the concept of intelligent PHR (iPHR). In this paper, we use automatic home medical product recommendation as a concrete application to demonstrate the benefits of introducing intelligence into PHRs. In this new application domain, we develop several techniques to address the emerging challenges. Our approach uses treatment knowledge and nursing knowledge, and extends the language modeling method to (1) construct a topic-selection input interface for recommending home medical products, (2) produce a global ranking of Web pages retrieved by multiple queries, and (3) provide diverse search results. We demonstrate the effectiveness of our techniques using USMLE medical exam cases. PMID:20703712

  4. Automatic sampling of radioactive liquors

    International Nuclear Information System (INIS)

    This paper describes the latest techniques in sampling radioactive liquors in an Irradiated Fuel Reprocessing Plant. Previously to obtain a sample from these liquors operators were involved at the point of sampling, the transport of samples in shielded containers to the laboratories and at the offloading of the samples at the laboratory. Penetration of the radioactive containments occurred at the sampling point and again in the laboratory, these operations could lead to possible radioactive contamination. The latest design consists of a Sample Bottle Despatch Facility Autosampler units, Pneumatic Transfer System and Receipt Facility which reduces considerably operator involvement, provides a safe rapid transport system and minimises any possibility of radioactive contamination. The system can be made fully automatic and ease of maintenance has been ensured by the design

  5. Automatic sampling of radioactive liquors

    International Nuclear Information System (INIS)

    This paper describes the latest techniques in sampling radioactive liquors in an Irradiated Fuel Reprocessing Plant. Previously to obtain a sample from these liquors operators were involved at the point of sampling, the transport of samples in shielded containers to the laboratories and at the offloading of the samples at the laboratory. Penetration of the radioactive containments occurred at the sampling point and again in the laboratory, these operations could lead to possible radioactive contamination. The latest design consists of a Sample Bottle Despatch Facility Autosampler units, Pneumatic Transfer System and Receipt Facility which reduces considerably operator involvement, provides a safe rapid transport system and minimises any possibility of radioactive contamination. The system can be made fully automatic and ease of maintenance has been ensured by the design. (author)

  6. Automatic sampling of radioactive liquors

    International Nuclear Information System (INIS)

    The latest techniques in sampling radioactive liquors in an Irradiated Fuel Reprocessing Plant are described. Previously to obtain a sample from these liquors operators were involved at the point of sampling, the transport of samples in shielded containers to the laboratories and at the offloading of the samples at the laboratory. Penetration of the radioactive containments occurred at the sampling point and again in the laboratory; these operations could lead to possible radioactive contamination. The latest design consists of a Sample Bottle Despatch Facility Autosampler units, Pneumatic Transfer System and Receipt Facility which reduces considerably operator involvement, provides a safe rapid transport system and minimises any possibility of radioactive contamination. The system can be made fully automatic and ease of maintenance has been ensured by the design. (author)

  7. Automatic Sequencing for Experimental Protocols

    Science.gov (United States)

    Hsieh, Paul F.; Stern, Ivan

    We present a paradigm and implementation of a system for the specification of the experimental protocols to be used for the calibration of AXAF mirrors. For the mirror calibration, several thousand individual measurements need to be defined. For each measurement, over one hundred parameters need to be tabulated for the facility test conductor and several hundred instrument parameters need to be set. We provide a high level protocol language which allows for a tractable representation of the measurement protocol. We present a procedure dispatcher which automatically sequences a protocol more accurately and more rapidly than is possible by an unassisted human operator. We also present back-end tools to generate printed procedure manuals and database tables required for review by the AXAF program. This paradigm has been tested and refined in the calibration of detectors to be used in mirror calibration.

  8. Autoclass: An automatic classification system

    Science.gov (United States)

    Stutz, John; Cheeseman, Peter; Hanson, Robin

    1991-01-01

    The task of inferring a set of classes and class descriptions most likely to explain a given data set can be placed on a firm theoretical foundation using Bayesian statistics. Within this framework, and using various mathematical and algorithmic approximations, the AutoClass System searches for the most probable classifications, automatically choosing the number of classes and complexity of class descriptions. A simpler version of AutoClass has been applied to many large real data sets, has discovered new independently-verified phenomena, and has been released as a robust software package. Recent extensions allow attributes to be selectively correlated within particular classes, and allow classes to inherit, or share, model parameters through a class hierarchy. The mathematical foundations of AutoClass are summarized.

  9. Automatic force balance calibration system

    Science.gov (United States)

    Ferris, Alice T.

    1995-05-01

    A system for automatically calibrating force balances is provided. The invention uses a reference balance aligned with the balance being calibrated to provide superior accuracy while minimizing the time required to complete the calibration. The reference balance and the test balance are rigidly attached together with closely aligned moment centers. Loads placed on the system equally effect each balance, and the differences in the readings of the two balances can be used to generate the calibration matrix for the test balance. Since the accuracy of the test calibration is determined by the accuracy of the reference balance and current technology allows for reference balances to be calibrated to within +/-0.05% the entire system has an accuracy of +/-0.2%. The entire apparatus is relatively small and can be mounted on a movable base for easy transport between test locations. The system can also accept a wide variety of reference balances, thus allowing calibration under diverse load and size requirements.

  10. Sputter target

    Science.gov (United States)

    Gates, Willard G.; Hale, Gerald J.

    1980-01-01

    The disclosure relates to an improved sputter target for use in the deposition of hard coatings. An exemplary target is given wherein titanium diboride is brazed to a tantalum backing plate using a gold-palladium-nickel braze alloy.

  11. Towards Autonomous Agriculture: Automatic Ground Detection Using Trinocular Stereovision

    Directory of Open Access Journals (Sweden)

    Annalisa Milella

    2012-09-01

    Full Text Available Autonomous driving is a challenging problem, particularly when the domain is unstructured, as in an outdoor agricultural setting. Thus, advanced perception systems are primarily required to sense and understand the surrounding environment recognizing artificial and natural structures, topology, vegetation and paths. In this paper, a self-learning framework is proposed to automatically train a ground classifier for scene interpretation and autonomous navigation based on multi-baseline stereovision. The use of rich 3D data is emphasized where the sensor output includes range and color information of the surrounding environment. Two distinct classifiers are presented, one based on geometric data that can detect the broad class of ground and one based on color data that can further segment ground into subclasses. The geometry-based classifier features two main stages: an adaptive training stage and a classification stage. During the training stage, the system automatically learns to associate geometric appearance of 3D stereo-generated data with class labels. Then, it makes predictions based on past observations. It serves as well to provide training labels to the color-based classifier. Once trained, the color-based classifier is able to recognize similar terrain classes in stereo imagery. The system is continuously updated online using the latest stereo readings, thus making it feasible for long range and long duration navigation, over changing environments. Experimental results, obtained with a tractor test platform operating in a rural environment, are presented to validate this approach, showing an average classification precision and recall of 91.0% and 77.3%, respectively.

  12. fastSCOP: a fast web server for recognizing protein structural domains and SCOP superfamilies.

    Science.gov (United States)

    Tung, Chi-Hua; Yang, Jinn-Moon

    2007-07-01

    The fastSCOP is a web server that rapidly identifies the structural domains and determines the evolutionary superfamilies of a query protein structure. This server uses 3D-BLAST to scan quickly a large structural classification database (SCOP1.71 with structural alignment tool, is adopted to align these top 10 structures to refine domain boundaries and to identify evolutionary superfamilies. Our previous works demonstrated that 3D-BLAST is as fast as BLAST, and has the characteristics of BLAST (e.g. a robust statistical basis, effective search and reliable database search capabilities) in large structural database searches based on a structural alphabet database and a structural alphabet substitution matrix. The classification accuracy of this server is approximately 98% for 586 query structures and the average execution time is approximately 5. This server was also evaluated on 8700 structures, which have no annotations in the SCOP; the server can automatically assign 7311 (84%) proteins (9420 domains) to the SCOP superfamilies in 9.6 h. These results suggest that the fastSCOP is robust and can be a useful server for recognizing the evolutionary classifications and the protein functions of novel structures. The server is accessible at http://fastSCOP.life.nctu.edu.tw. PMID:17485476

  13. Technical evaluation of TomoTherapy automatic roll correction.

    Science.gov (United States)

    Laub, Steve; Snyder, Michael; Burmeister, Jay

    2015-01-01

    The TomoTherapy Hi·Art System allows the application of rotational corrections as a part of the pretreatment image guidance process. This study outlines a custom method to perform an end-to-end evaluation of the TomoTherapy Hi·Art roll correction feature. A roll-sensitive plan was designed and delivered to a cylindrical solid water phantom to test the accuracy of roll corrections, as well as the ability of the automatic registration feature to detect induced roll. Cylindrical target structures containing coaxial inner avoidance structures were placed adjacent to the plane bisecting the phantom and 7 cm laterally off central axis. The phantom was positioned at isocenter with the target-plane parallel to the couch surface. Varying degrees of phantom roll were induced and dose to the targets and inner avoidance structures was measured using Kodak EDR2 films placed in the target-plane. Normalized point doses were compared with baseline (no roll) data to determine the sensitivity of the test and the effectiveness of the roll correction feature. Gamma analysis comparing baseline, roll-corrected, and uncorrected films was performed using film analysis software. MVCT images were acquired prior to plan delivery. Measured roll was compared with induced roll to evaluate the automatic registration feature's ability to detect rotational misalignment. Rotations beyond 0.3° result in statistically significant deviation from baseline point measurements. Gamma pass rates begin to drop below 90% at approximately 0.5° induced rotation at 3%/3 mm and between 0.2° and 0.3° for 2%/2 mm. With roll correction applied, point dose measurements for all rotations are indistinguishable from baseline, and gamma pass rates exceed 96% when using 3% and 3 mm as evaluation criteria. Measured roll via the automatic registration algorithm agrees with induced rotation to within the test sensitivity for nearly all imaging settings. The TomoTherapy automatic registration system accurately detects

  14. AUTO-LAY: automatic layout generation for procedure flow diagrams

    International Nuclear Information System (INIS)

    Nuclear Power Plant Procedures can be seen from essentially two viewpoints: the process and the information management. From the first point of view, it is important to supply the knowledge apt to solve problems connected with the control of the process, from the second one the focus of attention is on the knowledge representation, its structure, elicitation and maintenance, formal quality assurance. These two aspects of procedure representation can be considered and solved separately. In particular, methodological, formal and management issues require long and tedious activities, that in most cases constitute a great barrier for procedures development and upgrade. To solve these problems, Ansaldo is developing DIAM, a wide integrated tool for procedure management to support in procedure writing, updating, usage and documentation. One of the most challenging features of DIAM is AUTO-LAY, a CASE sub-tool that, in a complete automatical way, structures parts or complete flow diagrams. This is a feature that is partially present in some other CASE products, that, anyway, do not allow complex graph handling and isomorphism between video and paper representation AUTO-LAY has the unique prerogative to draw graphs of any complexity, to section them in pages, and to automatically compose a document. This has been recognized in the literature as the most important second-generation CASE improvement. (author). 5 refs., 9 figs

  15. Structuring Lecture Videos by Automatic Projection Screen Localization and Analysis.

    Science.gov (United States)

    Li, Kai; Wang, Jue; Wang, Haoqian; Dai, Qionghai

    2015-06-01

    We present a fully automatic system for extracting the semantic structure of a typical academic presentation video, which captures the whole presentation stage with abundant camera motions such as panning, tilting, and zooming. Our system automatically detects and tracks both the projection screen and the presenter whenever they are visible in the video. By analyzing the image content of the tracked screen region, our system is able to detect slide progressions and extract a high-quality, non-occluded, geometrically-compensated image for each slide, resulting in a list of representative images that reconstruct the main presentation structure. Afterwards, our system recognizes text content and extracts keywords from the slides, which can be used for keyword-based video retrieval and browsing. Experimental results show that our system is able to generate more stable and accurate screen localization results than commonly-used object tracking methods. Our system also extracts more accurate presentation structures than general video summarization methods, for this specific type of video. PMID:26357345

  16. Concept of automatic programming of NC machine for metal plate cutting by genetic algorithm method

    Directory of Open Access Journals (Sweden)

    B. Vaupotic

    2005-12-01

    Full Text Available Purpose: In this paper the concept of automatic programs of the NC machine for metal plate cutting by genetic algorithm method has been presented.Design/methodology/approach: The paper was limited to automatic creation of NC programs for two-dimensional cutting of material by means of adaptive heuristic search algorithms.Findings: Automatic creation of NC programs in laser cutting of materials combines the CAD concepts, the recognition of features and creation and optimization of NC programs. The proposed intelligent system is capable to recognize automatically the nesting of products in the layout, to determine the incisions and sequences of cuts forming the laid out products. Position of incisions is determined at the relevant places on the cut. The system is capable to find the shortest path between individual cuts and to record the NC program.Research limitations/implications: It would be appropriate to orient future researches towards conceiving an improved system for three-dimensional cutting with optional determination of positions of incisions, with the capability to sense collisions and with optimization of the speed and acceleration during cutting.Practical implications: The proposed system assures automatic preparation of NC program without NC programer.Originality/value: The proposed concept shows a high degree of universality, efficiency and reliability and it can be simply adapted to other NC-machines.

  17. Methods of automatic scanning of SSNTDs

    International Nuclear Information System (INIS)

    The methods of automatic scanning of solid state nuclear track detectors are reviewed. The paper deals with transmission of light, charged particles, chemicals and electrical current through conventionally etched detectors. Special attention is given to the jumping spark technique and breakdown counters. Eventually optical automatic devices are examined. (orig.)

  18. Automatic control of nuclear power plants

    International Nuclear Information System (INIS)

    The fundamental concepts in automatic control are surveyed, and the purpose of the automatic control of pressurized water reactors is given. The response characteristics for the main components are then studied and block diagrams are given for the main control loops (turbine, steam generator, and nuclear reactors)

  19. Towards unifying inheritance and automatic program specialization

    DEFF Research Database (Denmark)

    Schultz, Ulrik Pagh

    2002-01-01

    inheritance with covariant specialization to control the automatic application of program specialization to class members. Lapis integrates object-oriented concepts, block structure, and techniques from automatic program specialization to provide both a language where object-oriented designs can be e...

  20. ANNUAL REPORT-AUTOMATIC INDEXING AND ABSTRACTING.

    Science.gov (United States)

    Lockheed Missiles and Space Co., Palo Alto, CA. Electronic Sciences Lab.

    THE INVESTIGATION IS CONCERNED WITH THE DEVELOPMENT OF AUTOMATIC INDEXING, ABSTRACTING, AND EXTRACTING SYSTEMS. BASIC INVESTIGATIONS IN ENGLISH MORPHOLOGY, PHONETICS, AND SYNTAX ARE PURSUED AS NECESSARY MEANS TO THIS END. IN THE FIRST SECTION THE THEORY AND DESIGN OF THE "SENTENCE DICTIONARY" EXPERIMENT IN AUTOMATIC EXTRACTION IS OUTLINED. SOME OF…

  1. Solar Powered Automatic Shrimp Feeding System

    Directory of Open Access Journals (Sweden)

    Dindo T. Ani

    2015-12-01

    Full Text Available - Automatic system has brought many revolutions in the existing technologies. One among the technologies, which has greater developments, is the solar powered automatic shrimp feeding system. For instance, the solar power which is a renewable energy can be an alternative solution to energy crisis and basically reducing man power by using it in an automatic manner. The researchers believe an automatic shrimp feeding system may help solve problems on manual feeding operations. The project study aimed to design and develop a solar powered automatic shrimp feeding system. It specifically sought to prepare the design specifications of the project, to determine the methods of fabrication and assembly, and to test the response time of the automatic shrimp feeding system. The researchers designed and developed an automatic system which utilizes a 10 hour timer to be set in intervals preferred by the user and will undergo a continuous process. The magnetic contactor acts as a switch connected to the 10 hour timer which controls the activation or termination of electrical loads and powered by means of a solar panel outputting electrical power, and a rechargeable battery in electrical communication with the solar panel for storing the power. By undergoing through series of testing, the components of the modified system were proven functional and were operating within the desired output. It was recommended that the timer to be used should be tested to avoid malfunction and achieve the fully automatic system and that the system may be improved to handle changes in scope of the project.

  2. Key epitopes on the ESAT-6 antigen recognized in mice during the recall of protective immunity to Mycobacterium tuberculosis.

    Science.gov (United States)

    Brandt, L; Oettinger, T; Holm, A; Andersen, A B; Andersen, P

    1996-10-15

    The recall of long-lived immunity in a mouse model of tuberculosis (TB) is defined as an accelerated accumulation of reactive T cells in the target organs. We have recently identified Ag 85B and a 6-kilodalton early secretory antigenic target, designated ESAT-6, as key antigenic targets recognized by these cells. In the present study, preferential recognition of the ESAT-6 Ag during the recall of immunity was found to be shared by five of six genetically different strains of mice. Overlapping peptides spanning the sequence of ESAT-6 were used to map two T cell epitopes on this molecule. One epitope recognized in the context of H-2b,d was located in the N-terminal part of the molecule, whereas an epitope recognized in the context of H-2a,k covered amino acids 51 to 60. Shorter versions of the N-terminal epitope allowed the precise definition of a 13-amino acid core sequence recognized in the context of H-2b. The peptide covering the N-terminal epitope was immunogenic, and a T cell response with the same fine specificity as that induced during TB infection was generated by immunization with the peptide in IFA. In the C57BL/6j strain, this single epitope was recognized by an exceedingly high frequency of splenic T cells (approximately 1:1000), representing 25 to 35% of the total culture filtrate-reactive T cells recruited to the site of infection during the first phase of the recall response. These findings emphasize the relevance of this Ag in the immune response to TB and suggest that immunologic recognition in the first phase of infection is a highly restricted event dominated by a limited number of T cell clones. PMID:8871652

  3. AUTOMATIC DESIGNING OF POWER SUPPLY SYSTEMS

    Directory of Open Access Journals (Sweden)

    A. I. Kirspou

    2016-01-01

    Full Text Available Development of automatic designing system for power supply of industrial enterprises is considered in the paper. Its complete structure and principle of operation are determined and established. Modern graphical interface and data scheme are developed, software is completely realized. Methodology and software correspond to the requirements of the up-to-date designing, describe a general algorithm of program process and also reveals properties of automatic designing system objects. Automatic designing system is based on module principle while using object-orientated programming. Automatic designing system makes it possible to carry out consistently designing calculations of power supply system and select the required equipment with subsequent output of all calculations in the form of explanatory note. Automatic designing system can be applied by designing organizations under conditions of actual designing.

  4. Automatic Performance Debugging of SPMD Parallel Programs

    CERN Document Server

    Liu, Xu; Zhan, Jianfeng; Tu, Bibo; Meng, Dan

    2010-01-01

    Automatic performance debugging of parallel applications usually involves two steps: automatic detection of performance bottlenecks and uncovering their root causes for performance optimization. Previous work fails to resolve this challenging issue in several ways: first, several previous efforts automate analysis processes, but present the results in a confined way that only identifies performance problems with apriori knowledge; second, several tools take exploratory or confirmatory data analysis to automatically discover relevant performance data relationships. However, these efforts do not focus on locating performance bottlenecks or uncovering their root causes. In this paper, we design and implement an innovative system, AutoAnalyzer, to automatically debug the performance problems of single program multi-data (SPMD) parallel programs. Our system is unique in terms of two dimensions: first, without any apriori knowledge, we automatically locate bottlenecks and uncover their root causes for performance o...

  5. Automatic Testcase Generation for Flight Software

    Science.gov (United States)

    Bushnell, David Henry; Pasareanu, Corina; Mackey, Ryan M.

    2008-01-01

    The TacSat3 project is applying Integrated Systems Health Management (ISHM) technologies to an Air Force spacecraft for operational evaluation in space. The experiment will demonstrate the effectiveness and cost of ISHM and vehicle systems management (VSM) technologies through onboard operation for extended periods. We present two approaches to automatic testcase generation for ISHM: 1) A blackbox approach that views the system as a blackbox, and uses a grammar-based specification of the system's inputs to automatically generate *all* inputs that satisfy the specifications (up to prespecified limits); these inputs are then used to exercise the system. 2) A whitebox approach that performs analysis and testcase generation directly on a representation of the internal behaviour of the system under test. The enabling technologies for both these approaches are model checking and symbolic execution, as implemented in the Ames' Java PathFinder (JPF) tool suite. Model checking is an automated technique for software verification. Unlike simulation and testing which check only some of the system executions and therefore may miss errors, model checking exhaustively explores all possible executions. Symbolic execution evaluates programs with symbolic rather than concrete values and represents variable values as symbolic expressions. We are applying the blackbox approach to generating input scripts for the Spacecraft Command Language (SCL) from Interface and Control Systems. SCL is an embedded interpreter for controlling spacecraft systems. TacSat3 will be using SCL as the controller for its ISHM systems. We translated the SCL grammar into a program that outputs scripts conforming to the grammars. Running JPF on this program generates all legal input scripts up to a prespecified size. Script generation can also be targeted to specific parts of the grammar of interest to the developers. These scripts are then fed to the SCL Executive. ICS's in-house coverage tools will be run to

  6. Patients with schizophrenia do not preserve automatic grouping when mentally re-grouping figures: shedding light on an ignored difficulty

    Directory of Open Access Journals (Sweden)

    AnneGiersch

    2012-08-01

    Full Text Available Looking at a pair of objects is easy when automatic grouping mechanisms bind these objects together, but visual exploration can also be more flexible. It is possible to mentally ‘re-group’ two objects that are not only separate but belong to different pairs of objects. ‘Re-grouping’ is in conflict with automatic grouping, since it entails a separation of each item from the set it belongs to. This ability appears to be impaired in patients with schizophrenia. Here we check if this impairment is selective, which would suggest a dissociation between grouping and ‘re-grouping’, or if it impacts on usual, automatic grouping, which would call for a better understanding of the interactions between automatic grouping and ‘re-grouping’. Sixteen outpatients with schizophrenia and healthy controls had to identify two identical and contiguous target figures within a display of circles and squares alternating around a fixation point. Eye-tracking was used to check central fixation. The target pair could be located in the same or separate hemifields. Identical figures were grouped by a connector (grouped automatically or not (to be re-grouped. Attention modulation of automatic grouping was tested by manipulating the proportion of connected and unconnected targets, thus prompting subjects to focalize on either connected or unconnected pairs. Both groups were sensitive to automatic grouping in most conditions, but patients were unusually slowed down for connected targets while focalizing on unconnected pairs. In addition, this unusual effect occurred only when target were presented within the same hemifield. Patients and controls differed on this asymmetry between within- and across-hemifield presentation, suggesting that patients with schizophrenia do not re-group figures in the same way as controls do. We discuss possible implications on how ‘re-grouping’ ties in with ongoing, automatic perception in healthy volunteers.

  7. A Data Mining Approach for Predicting Attacks and Recognizing Threat Strategy in the context of Collaborative Attackers and Network Security Management

    OpenAIRE

    Femi Oriola

    2014-01-01

    Data Mining has been novel in predictive modeling. In fact, various Data Mining Models have been used to predict future attacks and recognize threat strategy. However, none has been applied to predict attack and recognize threat strategy in the context of Collaborative Attacker and Victim. In recent times, Internet-facilitated Threats such as botnet and advanced persistent threats have been responsible for most successful attacks in organisations while multiple targets have been the victims o...

  8. Automatic learning-based beam angle selection for thoracic IMRT

    Energy Technology Data Exchange (ETDEWEB)

    Amit, Guy; Marshall, Andrea [Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario M5G 2M9 (Canada); Purdie, Thomas G., E-mail: tom.purdie@rmp.uhn.ca; Jaffray, David A. [Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario M5G 2M9 (Canada); Department of Radiation Oncology, University of Toronto, Toronto, Ontario M5S 3E2 (Canada); Techna Institute, University Health Network, Toronto, Ontario M5G 1P5 (Canada); Levinshtein, Alex [Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3G4 (Canada); Hope, Andrew J.; Lindsay, Patricia [Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario M5G 2M9, Canada and Department of Radiation Oncology, University of Toronto, Toronto, Ontario M5S 3E2 (Canada); Pekar, Vladimir [Philips Healthcare, Markham, Ontario L6C 2S3 (Canada)

    2015-04-15

    Purpose: The treatment of thoracic cancer using external beam radiation requires an optimal selection of the radiation beam directions to ensure effective coverage of the target volume and to avoid unnecessary treatment of normal healthy tissues. Intensity modulated radiation therapy (IMRT) planning is a lengthy process, which requires the planner to iterate between choosing beam angles, specifying dose–volume objectives and executing IMRT optimization. In thorax treatment planning, where there are no class solutions for beam placement, beam angle selection is performed manually, based on the planner’s clinical experience. The purpose of this work is to propose and study a computationally efficient framework that utilizes machine learning to automatically select treatment beam angles. Such a framework may be helpful for reducing the overall planning workload. Methods: The authors introduce an automated beam selection method, based on learning the relationships between beam angles and anatomical features. Using a large set of clinically approved IMRT plans, a random forest regression algorithm is trained to map a multitude of anatomical features into an individual beam score. An optimization scheme is then built to select and adjust the beam angles, considering the learned interbeam dependencies. The validity and quality of the automatically selected beams evaluated using the manually selected beams from the corresponding clinical plans as the ground truth. Results: The analysis included 149 clinically approved thoracic IMRT plans. For a randomly selected test subset of 27 plans, IMRT plans were generated using automatically selected beams and compared to the clinical plans. The comparison of the predicted and the clinical beam angles demonstrated a good average correspondence between the two (angular distance 16.8° ± 10°, correlation 0.75 ± 0.2). The dose distributions of the semiautomatic and clinical plans were equivalent in terms of primary target volume

  9. Automatic learning-based beam angle selection for thoracic IMRT

    International Nuclear Information System (INIS)

    Purpose: The treatment of thoracic cancer using external beam radiation requires an optimal selection of the radiation beam directions to ensure effective coverage of the target volume and to avoid unnecessary treatment of normal healthy tissues. Intensity modulated radiation therapy (IMRT) planning is a lengthy process, which requires the planner to iterate between choosing beam angles, specifying dose–volume objectives and executing IMRT optimization. In thorax treatment planning, where there are no class solutions for beam placement, beam angle selection is performed manually, based on the planner’s clinical experience. The purpose of this work is to propose and study a computationally efficient framework that utilizes machine learning to automatically select treatment beam angles. Such a framework may be helpful for reducing the overall planning workload. Methods: The authors introduce an automated beam selection method, based on learning the relationships between beam angles and anatomical features. Using a large set of clinically approved IMRT plans, a random forest regression algorithm is trained to map a multitude of anatomical features into an individual beam score. An optimization scheme is then built to select and adjust the beam angles, considering the learned interbeam dependencies. The validity and quality of the automatically selected beams evaluated using the manually selected beams from the corresponding clinical plans as the ground truth. Results: The analysis included 149 clinically approved thoracic IMRT plans. For a randomly selected test subset of 27 plans, IMRT plans were generated using automatically selected beams and compared to the clinical plans. The comparison of the predicted and the clinical beam angles demonstrated a good average correspondence between the two (angular distance 16.8° ± 10°, correlation 0.75 ± 0.2). The dose distributions of the semiautomatic and clinical plans were equivalent in terms of primary target volume

  10. Target capture and target ghosts

    Science.gov (United States)

    Auerbach, Steven P.

    1996-05-01

    Optimal detection methods for small targets rely on whitened matched filters, which convolve the measured data with the signal model, and whiten the result with the noise covariance. In real-world implementations of such filters, the noise covariance must be estimated from the data, and the resulting covariance estimate may be corrupted by presence of the target. The resulting loss in SNR is called 'target capture'. Target capture is often thought to be a problem only for bright targets. This presentation shows that target capture also arises for dim targets, leading to an SNR loss which is independent of target strength and depends on the averaging method used to estimate the noise covariance. This loss is due to a 'coherent beat' between the true noise and that portion of the estimated noise covariance due to the target. This beat leads to 'ghost targets', which diminish the target SNR by producing a negative target ghost at the target's position. A quantitative estimate of this effect will be given, and shown to agree with numerical results. The effect of averaging on SNR is also discussed for data scenes with synthetic injected targets, in cases where the noise covariance is estimated using 'no target' data. For these cases, it is shown that the so-called 'optimal' filter, which uses the true noise covariance, is actually worse than a 'sub-optimal' filter which estimates the noise from scene. This apparent contradiction is resolved by showing that the optimal filter is best if the same filter is used for many scenes, but is outperformed by a filter adapted to a specific scene.

  11. Recognizing and Treating Malaria in U.S. Residents

    Centers for Disease Control (CDC) Podcasts

    2010-06-09

    This podcast is an overview of the Clinician Outreach and Communication Activity (COCA) Call: It's a Small World After All: Dengue and Malaria in U.S. Residents - Recognizing and Treating These Mosquito-borne Diseases. CDC's David Townes discusses clinical presentation, transmission, prevention strategies, new treatments, and malaria resources available to health care providers.  Created: 6/9/2010 by Division of Parasitic Diseases and Malaria, Center for Global Health and Emergency Communication System (ECS)/Joint Information Center (JIC); Office of Public Health Preparedness and Response (OPHPR).   Date Released: 6/15/2010.

  12. New efficient algorithm for recognizing handwritten Hindi digits

    Science.gov (United States)

    El-Sonbaty, Yasser; Ismail, Mohammed A.; Karoui, Kamal

    2001-12-01

    In this paper a new algorithm for recognizing handwritten Hindi digits is proposed. The proposed algorithm is based on using the topological characteristics combined with statistical properties of the given digits in order to extract a set of features that can be used in the process of digit classification. 10,000 handwritten digits are used in the experimental results. 1100 digits are used for training and another 5500 unseen digits are used for testing. The recognition rate has reached 97.56%, a substitution rate of 1.822%, and a rejection rate of 0.618%.

  13. T cells recognizing a peptide contaminant undetectable by mass spectrometry

    DEFF Research Database (Denmark)

    Brezar, Vedran; Culina, Slobodan; Østerbye, Thomas;

    2011-01-01

    Synthetic peptides are widely used in immunological research as epitopes to stimulate their cognate T cells. These preparations are never completely pure, but trace contaminants are commonly revealed by mass spectrometry quality controls. In an effort to characterize novel major histocompatibility...... complex (MHC) Class I-restricted ß-cell epitopes in non-obese diabetic (NOD) mice, we identified islet-infiltrating CD8+ T cells recognizing a contaminating peptide. The amount of this contaminant was so small to be undetectable by direct mass spectrometry. Only after concentration by liquid...

  14. Osteitis Pubis After TURP: A Rare Complication Difficult to Recognize.

    Science.gov (United States)

    Elshout, Pieter Jan; Verleyen, Pieter; Putzeys, Guy

    2016-01-01

    TURP is a widespread urologic procedure that is performed by many urologists. This report describes a rare complication that causes serious morbidity because it is not recognized in time. This is also the first report of a prostatosymphyseal fistula treated without major surgery. Eventually diagnosis is made by a MRI 5 months after surgery. Decompressive surgery was necessary to treat pubic osteïtis with invalidating pain. Culture results revealed Escherichia coli but eventually the diagnosis was made by fistulography. Treatment consisted of bladder drainage and long-term antibiotic treatment and these could eventually heal the fistula. PMID:26793582

  15. Osteitis Pubis After TURP: A Rare Complication Difficult to Recognize

    Directory of Open Access Journals (Sweden)

    Pieter Jan Elshout

    2016-01-01

    Full Text Available TURP is a widespread urologic procedure that is performed by many urologists. This report describes a rare complication that causes serious morbidity because it is not recognized in time. This is also the first report of a prostatosymphyseal fistula treated without major surgery. Eventually diagnosis is made by a MRI 5 months after surgery. Decompressive surgery was necessary to treat pubic osteïtis with invalidating pain. Culture results revealed Escherichia coli but eventually the diagnosis was made by fistulography. Treatment consisted of bladder drainage and long-term antibiotic treatment and these could eventually heal the fistula.

  16. Recognizing risk-of-failure in communication design projects

    OpenAIRE

    Yee, Joyce; Lievesley, Matthew; Taylor, Louise

    2009-01-01

    The pace of commercial graphic design practice presents very few opportunities to conduct user research after a project’s launch. This makes the design team’s ability to anticipate and address risks during the design development phase even more important, recognized in the astute observation from Tim Brown, CEO of leading international design group IDEO, that sometimes you must “fail early to succeed early.” This paper presents the methods and strategies used by the Centre for Design Rese...

  17. Relatedness Proportion Effects in Semantic Categorization: Reconsidering the Automatic Spreading Activation Process

    Science.gov (United States)

    de Wit, Bianca; Kinoshita, Sachiko

    2014-01-01

    Semantic priming effects at a short prime-target stimulus onset asynchrony are commonly explained in terms of an automatic spreading activation process. According to this view, the proportion of related trials should have no impact on the size of the semantic priming effect. Using a semantic categorization task ("Is this a living…

  18. Tumor targeting via integrin ligands

    Directory of Open Access Journals (Sweden)

    HorstKessler

    2013-08-01

    Full Text Available Selective and targeted delivery of drugs to tumors is a major challenge for an effective cancer therapy and also to overcome the side effects associated with current treatments. Overexpression of various receptors on tumor cells is a characteristic structural and biochemical aspect of tumors and distinguishes them from physiologically normal cells. This abnormal feature is therefore suitable for selectively directing anticancer molecules to tumors by using ligands that can preferentially recognize such receptors. Several subtypes of integrin receptors that are crucial for cell adhesion, cell signaling, cell viability and motility have been shown to have an upregulated expression on cancer cells. Thus, ligands that recognize specific integrin subtypes represent excellent candidates to be conjugated to drugs or drug carrier systems and be targeted to tumors. In this regard, integrins recognizing the RGD cell adhesive sequence have been extensively targeted for tumor specific drug delivery. Here we review key recent examples on the presentation of RGD-based integrin ligands by means of distinct drug delivery systems, and discuss the prospects of such therapies to specifically target tumor cells.

  19. Semi-Automatic Medical Image Segmentation with Adaptive Local Statistics in Conditional Random Fields Framework

    OpenAIRE

    Hu, Yu-Chi J.; Michael D. Grossberg; Mageras, Gikas S.

    2008-01-01

    Planning radiotherapy and surgical procedures usually require onerous manual segmentation of anatomical structures from medical images. In this paper we present a semi-automatic and accurate segmentation method to dramatically reduce the time and effort required of expert users. This is accomplished by giving a user an intuitive graphical interface to indicate samples of target and non-target tissue by loosely drawing a few brush strokes on the image. We use these brush strokes to provide the...

  20. Automatic reactor power control device

    International Nuclear Information System (INIS)

    Anticipated transient without scram (ATWS) of a BWR type reactor is judged to generate a signal based on a reactor power signal and a scram actuation demand signal. The ATWS signal and a predetermined water level signal to be generated upon occurrence of ATWS are inputted, and an injection water flow rate signal exhibiting injection water flow rate optimum to reactor flooding and power suppression is outputted. In addition, a reactor pressure setting signal is outputted based on injection performance of a high pressure water injection system or a lower pressure water injection system upon occurrence of ATWS. Further, the reactor pressure setting signal is inputted to calculate opening/closing setting pressure of a main steam relief valve and output an opening setting pressure signal and a closure setting pressure signal for the main steam relief valve. As a result, the reactor power and the reactor water level can be automatically controlled even upon occurrence of ATWS due to failure of insertion of all of the control rods thereby enabling to maintain integrity and safety of the reactor, the reactor pressure vessel and the reactor container. (N.H.)

  1. Recognizing Bharatnatyam Mudra Using Principles of Gesture Recognition

    Directory of Open Access Journals (Sweden)

    Shweta Mozarkar

    2013-08-01

    Full Text Available A primary goal of gesture recognition research is to create a system which can identify specific human gestures and use them to convey information for the device control. Gesture Recognition is interpreting human gestures via mathematical algorithms. Indian classical Dance uses the expressive gestures called Mudra as a supporting visual mode of communication with the audience. These mudras are expressive meaningful (static or dynamic positions of body parts. This project attempts to recognize the mudra sequence using Image-processing and Pattern Recognition techniques and link the result to understand the corresponding expressions of the Indian classical dance via interpretation of few static Bharatnatyam Mudras. Here, a novel approach of computer aided recognition of Bharatnatyam Mudras is proposed using the saliency technique which uses the hypercomplex representation (i.e., quaternion Fourier Transform of the image, to highlight the object from background and in order to get the salient features of the static double hand mudra image. K Nearest Neighbor algorithm is used for classification. The entry giving the minimum difference for all the mudra features is the match for the given input image. Finally emotional description for the recognized mudra image is displayed.

  2. T cells recognizing a peptide contaminant undetectable by mass spectrometry.

    Science.gov (United States)

    Brezar, Vedran; Culina, Slobodan; Østerbye, Thomas; Guillonneau, François; Chiappetta, Giovanni; Verdier, Yann; Vinh, Joelle; Wong, F Susan; Buus, Søren; Mallone, Roberto

    2011-01-01

    Synthetic peptides are widely used in immunological research as epitopes to stimulate their cognate T cells. These preparations are never completely pure, but trace contaminants are commonly revealed by mass spectrometry quality controls. In an effort to characterize novel major histocompatibility complex (MHC) Class I-restricted β-cell epitopes in non-obese diabetic (NOD) mice, we identified islet-infiltrating CD8+ T cells recognizing a contaminating peptide. The amount of this contaminant was so small to be undetectable by direct mass spectrometry. Only after concentration by liquid chromatography, we observed a mass peak corresponding to an immunodominant islet-specific glucose-6-phosphatase catalytic subunit-related protein (IGRP)(206-214) epitope described in the literature. Generation of CD8+ T-cell clones recognizing IGRP(206-214) using a novel method confirmed the identity of the contaminant, further underlining the immunodominance of IGRP(206-214). If left undetected, minute impurities in synthetic peptide preparations may thus give spurious results. PMID:22194932

  3. Recognizing induced emotions of happiness and sadness from dance movement.

    Directory of Open Access Journals (Sweden)

    Edith Van Dyck

    Full Text Available Recent research revealed that emotional content can be successfully decoded from human dance movement. Most previous studies made use of videos of actors or dancers portraying emotions through choreography. The current study applies emotion induction techniques and free movement in order to examine the recognition of emotional content from dance. Observers (N = 30 watched a set of silent videos showing depersonalized avatars of dancers moving to an emotionally neutral musical stimulus after emotions of either sadness or happiness had been induced. Each of the video clips consisted of two dance performances which were presented side-by-side and were played simultaneously; one of a dancer in the happy condition and one of the same individual in the sad condition. After every film clip, the observers were asked to make forced-choices concerning the emotional state of the dancer. Results revealed that observers were able to identify the emotional state of the dancers with a high degree of accuracy. Moreover, emotions were more often recognized for female dancers than for their male counterparts. In addition, the results of eye tracking measurements unveiled that observers primarily focus on movements of the chest when decoding emotional information from dance movement. The findings of our study show that not merely portrayed emotions, but also induced emotions can be successfully recognized from free dance movement.

  4. Patient Selection in Plastic Surgery: Recognizing Body Dysmorphic Disorder

    Directory of Open Access Journals (Sweden)

    Cihan Sahin

    2013-04-01

    Full Text Available Plastic surgery is a branch of medicine that provides significant improvements to the people with positive changes. But first of all, this branch has a characteristic which requires analysing patients' psychological situation very carefully. Plastic surgeons are often confronted by patients with mental disorders seeking aesthetic surgery. It is imperative for surgeons to recognize possible underlying psychiatric illnesses. Common psychiatric conditions seen in cosmetic surgery patients include body dysmorphic disorder (BDD, narcissistic personality disorder and histrionic personality disorders. BDD is of particular importance to plastic surgeons. Because outrageous dissatisfaction with one's appearance may conceal psychopathologic traits that are not always easily recognizable, and which, if neglected, may result in serious iatrogenic and medicolegal consequences, we hope that this paper will help plastic surgeons in ultimately preventing patient and surgeon dissatisfaction within the population of patients with psychiatric disorders, and should recognize the diagnostic features of body dysmorphic disorder and screen psychologically unstable patients who may never be satisfied with surgery. [Arch Clin Exp Surg 2013; 2(2.000: 109-115

  5. Automatic Verification of Timing Constraints for Safety Critical Space Systems

    Science.gov (United States)

    Fernandez, Javier; Parra, Pablo; Sanchez Prieto, Sebastian; Polo, Oscar; Bernat, Guillem

    2015-09-01

    In this paper is presented an automatic process of verification. We focus in the verification of scheduling analysis parameter. This proposal is part of process based on Model Driven Engineering to automate a Verification and Validation process of the software on board of satellites. This process is implemented in a software control unit of the energy particle detector which is payload of Solar Orbiter mission. From the design model is generated a scheduling analysis model and its verification model. The verification as defined as constraints in way of Finite Timed Automatas. When the system is deployed on target the verification evidence is extracted as instrumented points. The constraints are fed with the evidence, if any of the constraints is not satisfied for the on target evidence the scheduling analysis is not valid.

  6. Dosimetric Evaluation of Automatic Segmentation for Adaptive IMRT for Head-and-Neck Cancer

    International Nuclear Information System (INIS)

    Purpose: Adaptive planning to accommodate anatomic changes during treatment requires repeat segmentation. This study uses dosimetric endpoints to assess automatically deformed contours. Methods and Materials: Sixteen patients with head-and-neck cancer had adaptive plans because of anatomic change during radiotherapy. Contours from the initial planning computed tomography (CT) were deformed to the mid-treatment CT using an intensity-based free-form registration algorithm then compared with the manually drawn contours for the same CT using the Dice similarity coefficient and an overlap index. The automatic contours were used to create new adaptive plans. The original and automatic adaptive plans were compared based on dosimetric outcomes of the manual contours and on plan conformality. Results: Volumes from the manual and automatic segmentation were similar; only the gross tumor volume (GTV) was significantly different. Automatic plans achieved lower mean coverage for the GTV: V95: 98.6 ± 1.9% vs. 89.9 ± 10.1% (p = 0.004) and clinical target volume: V95: 98.4 ± 0.8% vs. 89.8 ± 6.2% (p 3 of the spinal cord 39.9 ± 3.7 Gy vs. 42.8 ± 5.4 Gy (p = 0.034), but no difference for the remaining structures. Conclusions: Automatic segmentation is not robust enough to substitute for physician-drawn volumes, particularly for the GTV. However, it generates normal structure contours of sufficient accuracy when assessed by dosimetric end points.

  7. Development of remote automatic equipment for BWR power plants

    International Nuclear Information System (INIS)

    The development of remote control, automatic equipment for nuclear power stations has been promoted to raise the rate of operation of plants by shortening regular inspection period, to improve the safety and reliability of inspection and maintenance works by mechanization, to reduce the radiation exposure dose of workers and to reduce the manpower required for works. The taking-off of control rod drives from reactors and fixing again have been mechanized, but the disassembling, cleaning, inspection and assembling of control rod drives are manually carried out. Therefore, Hitachi Ltd. has exerted effort to develop the automatic equipment for this purpose. The target of development, investigation, the construction and function of the equipment, the performance and the effect of adopting it are reported. The equipment for the volume reduction of spent fuel channel boxes and spent control rods is developed since these are major high level radioactive solid wastes, and their apparent volume is large. Also the target of development, investigated things, the construction and function of the equipment, the performance and the effect of adopting it are reported. (Kako, I.)

  8. Automatic radioisotope production devices adapted to a medical cyclotron

    International Nuclear Information System (INIS)

    The authors describe an irradiation device set up beside a compact medical cyclotron (520.CGR-MeV cyclotron). The variable energy machine can accelerate 3-22 MeV protons, 3-13 MeV deuterons, 6-26 MeV alpha particles and 5-31 MeV helium-3 particles, the currents extracted at the maximum energies reaching 50 μA for 4He and 3He, 70 μA for protons and deuterons. The essential characteristics demanded of the apparatus in order to produce a regular and abundant supply of short-lived radioisotopes were as follows: - Flexibility of use or the possibility of fast, completely non-manual target changing. - Simplicity of operation: the target-holder components must be easily interchangeable and the transfer of radioisotopes from the irradiation point to the chemical laboratory must be rapid. - Working safety: the automatic target-holder cooling controls must be duplicated by manual controls. - Target cooling efficiency: these targets, whether gaseous, liquid or solid, must be able to support a high particle current. (Auth.)

  9. Development of artificial nucleic acid that recognizes a CG base pair in triplex DNA formation.

    Science.gov (United States)

    Hari, Yoshiyuki

    2013-01-01

    An oligonucleotide that can form a triplex with double-stranded DNA is called a triplex-forming oligonucleotide (TFO). TFOs have gained considerable attention because of their potential as gene targeting tools. However, triplex DNA formation involves inherent problems for practical use. The most important problem is that natural nucleotides in TFO do not have sufficient affinity and base pair-selectivity to pyrimidine-purine base pair, like a CG or TA base pair, within dsDNA. This suggests that dsDNA region including a CG or TA base pair cannot be targeted. Therefore, artificial nucleotides, especially with non-natural nucleobases, capable of direct recognition of a CG or TA base pair via hydrogen bond formation have been developed; however, nucleotides with better selectivity and stronger affinity are necessary for implementing this dsDNA-targeting technology using TFOs. Under such a background, we considered that facile and efficient synthesis of various nucleobase derivatives in TFOs would be useful for finding an ideal nucleobase for recognition of a CG or TA base pair because detailed and rational exploration of nucleobase structures is facilitated. Recently, to develop a nucleobase recognizing a CG base pair, we have used post-elongation modification, i.e., modification after oligonucleotide synthesis, for the facile synthesis of nucleobase derivatives. This review mainly summarizes our recent findings on the development of artificial nucleobases and nucleotides for recognition of a CG base pair in triplexes formed between dsDNA and TFOs. PMID:24189561

  10. ANALYSIS OF EXISTING AND PROSPECTIVE TECHNICAL CONTROL SYSTEMS OF NUMERIC CODES AUTOMATIC BLOCKING

    Directory of Open Access Journals (Sweden)

    A. M. Beznarytnyy

    2013-09-01

    Full Text Available Purpose. To identify the characteristic features of the engineering control measures system of automatic block of numeric code, identifying their advantages and disadvantages, to analyze the possibility of their use in the problems of diagnosing status of the devices automatic block and setting targets for the development of new diagnostic systems. Methodology. In order to achieve targets the objective theoretical and analytical method and the method of functional analysis have been used. Findings. The analysis of existing and future facilities of the remote control and diagnostics automatic block devices had shown that the existing systems of diagnosis were not sufficiently informative, designed primarily to control the discrete parameters, which in turn did not allow them to construct a decision support subsystem. In developing of new systems of technical diagnostics it was proposed to use the principle of centralized distributed processing of diagnostic data, to include a subsystem support decision-making in to the diagnostics system, it will reduce the amount of work to maintain the devices blocking and reduce recovery time after the occurrence injury. Originality. As a result, the currently existing engineering controls facilities of automatic block can not provide a full assessment of the state distillation alarms and locks. Criteria for the development of new systems of technical diagnostics with increasing amounts of diagnostic information and its automatic analysis were proposed. Practical value. These results of the analysis can be used in practice in order to select the technical control of automatic block devices, as well as the further development of diagnostic systems automatic block that allows for a gradual transition from a planned preventive maintenance service model to the actual state of the monitored devices.

  11. The Ability of Immunoglobulin Yolk Recognized the Antigen in the Tissue of Ascaridia galli

    Directory of Open Access Journals (Sweden)

    Darmawi

    2012-12-01

    Full Text Available Antigen-antibody reaction is an important tool for the analysis of localization of target molecules, including antigenic protein within worm tissues. The purpose of the present research was to demonstrate the ability of immunoglobulin yolk (IgY anti-excretory/secretory recognized the antigen in the tissue of Ascaridia galli by mean of immunohistochemistry method. The excretory/secretory protein was procured from A. galli and concentrated by mean of vivaspin 30,000 MWCO. IgY was produced by egg yolks of immunized chickens with excretory/secretory, and purified using fast protein liquid chromatography (FPLC method. A. galli adult worms were cut in transversal and longitudinal section of the center and anterior region. Slides were incubated with both primary IgY for overnight at 4 oC and secondary antibody rabbit anti-chicken IgY HRP-conjugate for one hour at room temperature. The slides were stained with 3-amino, 9-ethylcarbazole (AEC chromogen, counterstained with Lillie Mayer Haematoxylin, and mounted in glyserin aqueous mount. Antigen-antibody reaction was investigated under a microscope. The result showed that antigen was appeared in the tissues such as cuticle, epicuticle, buccal cavity, and eggs inside the uterine of A. galli. This research concluded that IgY stimulated by the excretory/secretory was able to recognized the antigen scattered in the tissues of A. galli so the IgY could be applied for immunodiagnostic.

  12. A Decentralized Partially Observable Decision Model for Recognizing the Multiagent Goal in Simulation Systems

    Directory of Open Access Journals (Sweden)

    Shiguang Yue

    2016-01-01

    Full Text Available Multiagent goal recognition is important in many simulation systems. Many of the existing modeling methods need detailed domain knowledge of agents’ cooperative behaviors and a training dataset to estimate policies. To solve these problems, we propose a novel decentralized partially observable decision model (Dec-POMDM, which models cooperative behaviors by joint policies. In this compact way, we only focus on the distribution of joint policies. Additionally, a model-free algorithm, cooperative colearning based on Sarsa, is exploited to estimate agents’ policies under the assumption of rationality, which makes the training dataset unnecessary. In the inference, considering that the Dec-POMDM is discrete and its state space is large, we implement a marginal filter (MF under the framework of the Dec-POMDM, where the initial world states and results of actions are uncertain. In the experiments, a new scenario is designed based on the standard predator-prey problem: we increase the number of preys, and our aim is to recognize the real target of predators. Experiment results show that (a our method recognizes goals well even when they change dynamically; (b the Dec-POMDM outperforms supervised trained HMMs in terms of precision, recall, and F-measure; and (c the MF infers goals more efficiently than the particle filter under the framework of the Dec-POMDM.

  13. A method for automatically constructing the initial contour of the common carotid artery

    Directory of Open Access Journals (Sweden)

    Yara Omran

    2013-10-01

    Full Text Available In this article we propose a novel method to automatically set the initial contour that is used by the Active contours algorithm.The proposed method exploits the accumulative intensity profiles to locate the points on the arterial wall. The intensity profiles of sections that intersect the artery show distinguishable characterstics that make it possible to recognize them from the profiles of sections that do not intersect the artery walls. The proposed method is applied on ultrasound images of the transverse section of the common carotid artery, but it can be extended to be used on the images of the longitudinal section. The intensity profiles are classified using Support vector machine algorithm, and the results of different kernels are compared. The extracted features used for the classification are basically statistical features of the intensity profiles. The echogenicity of the arterial lumen, and gives the profiles that intersect the artery a special shape that helps recognizing these profiles from other general profiles.The outlining of the arterial walls may seem a classic task in image processing. However, most of the methods used to outline the artery start from a manual, or semi-automatic, initial contour.The proposed method is highly appreciated in automating the entire process of automatic artery detection and segmentation.

  14. Semantic-Aware Automatic Parallelization of Modern Applications Using High-Level Abstractions

    Energy Technology Data Exchange (ETDEWEB)

    Liao, C; Quinlan, D J; Willcock, J J; Panas, T

    2009-12-21

    Automatic introduction of OpenMP for sequential applications has attracted significant attention recently because of the proliferation of multicore processors and the simplicity of using OpenMP to express parallelism for shared-memory systems. However, most previous research has only focused on C and Fortran applications operating on primitive data types. Modern applications using high-level abstractions, such as C++ STL containers and complex user-defined class types, are largely ignored due to the lack of research compilers that are readily able to recognize high-level object-oriented abstractions and leverage their associated semantics. In this paper, we use a source-to-source compiler infrastructure, ROSE, to explore compiler techniques to recognize high-level abstractions and to exploit their semantics for automatic parallelization. Several representative parallelization candidate kernels are used to study semantic-aware parallelization strategies for high-level abstractions, combined with extended compiler analyses. Preliminary results have shown that semantics of abstractions can help extend the applicability of automatic parallelization to modern applications and expose more opportunities to take advantage of multicore processors.

  15. Recognizing and Preventing Overexposure to Methylmercury from Fish and Seafood Consumption: Information for Physicians

    Directory of Open Access Journals (Sweden)

    Susan M. Silbernagel

    2011-01-01

    Full Text Available Fish is a valuable source of nutrition, and many people would benefit from eating fish regularly. But some people eat a lot of fish, every day or several meals per week, and thus can run a significant risk of overexposure to methylmercury. Current advice regarding methylmercury from fish consumption is targeted to protect the developing brain and nervous system but adverse health effects are increasingly associated with adult chronic low-level methylmercury exposure. Manifestations of methylmercury poisoning are variable and may be difficult to detect unless one considers this specific diagnosis and does an appropriate test (blood or hair analysis. We provide information to physicians to recognize and prevent overexposure to methylmercury from fish and seafood consumption. Physicians are urged to ask patients if they eat fish: how often, how much, and what kinds. People who eat fish frequently (once a week or more often and pregnant women are advised to choose low mercury fish.

  16. Extensometer automatically measures elongation in elastomers

    Science.gov (United States)

    Hooper, C. D.

    1966-01-01

    Extensometer, with a calibrated shaft, measures the elongation of elastomers and automatically records this distance on a chart. It is adaptable to almost any tensile testing machine and is fabricated at a relatively low cost.

  17. 2010 United States Automatic Identification System Database

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The 2010 United States Automatic Identification System Database contains vessel traffic data for planning purposes within the U.S. coastal waters. The database is...

  18. Computer systems for automatic earthquake detection

    Science.gov (United States)

    Stewart, S.W.

    1974-01-01

    U.S Geological Survey seismologists in Menlo park, California, are utilizing the speed, reliability, and efficiency of minicomputers to monitor seismograph stations and to automatically detect earthquakes. An earthquake detection computer system, believed to be the only one of its kind in operation, automatically reports about 90 percent of all local earthquakes recorded by a network of over 100 central California seismograph stations. The system also monitors the stations for signs of malfunction or abnormal operation. Before the automatic system was put in operation, all of the earthquakes recorded had to be detected by manually searching the records, a time-consuming process. With the automatic detection system, the stations are efficiently monitored continuously. 

  19. Automatic program debugging for intelligent tutoring systems

    Energy Technology Data Exchange (ETDEWEB)

    Murray, W.R.

    1986-01-01

    This thesis explores the process by which student programs can be automatically debugged in order to increase the instructional capabilities of these systems. This research presents a methodology and implementation for the diagnosis and correction of nontrivial recursive programs. In this approach, recursive programs are debugged by repairing induction proofs in the Boyer-Moore Logic. The potential of a program debugger to automatically debug widely varying novice programs in a nontrivial domain is proportional to its capabilities to reason about computational semantics. By increasing these reasoning capabilities a more powerful and robust system can result. This thesis supports these claims by examining related work in automated program debugging and by discussing the design, implementation, and evaluation of Talus, an automatic degugger for LISP programs. Talus relies on its abilities to reason about computational semantics to perform algorithm recognition, infer code teleology, and to automatically detect and correct nonsyntactic errors in student programs written in a restricted, but nontrivial, subset of LISP.

  20. Variable load automatically tests dc power supplies

    Science.gov (United States)

    Burke, H. C., Jr.; Sullivan, R. M.

    1965-01-01

    Continuously variable load automatically tests dc power supplies over an extended current range. External meters monitor current and voltage, and multipliers at the outputs facilitate plotting the power curve of the unit.

  1. 2012 United States Automatic Identification System Database

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The 2012 United States Automatic Identification System Database contains vessel traffic data for planning purposes within the U.S. coastal waters. The database is...

  2. Coke oven automatic combustion control system

    Energy Technology Data Exchange (ETDEWEB)

    Shihara, Y.

    1981-01-01

    This article describes and discusses the development and application of an automatic combustion control system for coke ovens that has been used at the Yawata Works of the Nippon Steel Corporation, Japan. (In Japanese)

  3. 2014 United States Automatic Identification System Database

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The 2014 United States Automatic Identification System Database contains vessel traffic data for planning purposes within the U.S. coastal waters. The database is...

  4. 2009 United States Automatic Identification System Database

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The 2009 United States Automatic Identification System Database contains vessel traffic data for planning purposes within the U.S. coastal waters. The database is...

  5. Automatic calibration system for pressure transducers

    Science.gov (United States)

    1968-01-01

    Fifty-channel automatic pressure transducer calibration system increases quantity and accuracy for test evaluation calibration. The pressure transducers are installed in an environmental tests chamber and manifolded to connect them to a pressure balance which is uniform.

  6. A Demonstration of Automatically Switched Optical Network

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    We build an automatically switched optical network (ASON) testbed with four optical cross-connect nodes. Many fundamental ASON features are demonstrated, which is implemented by control protocols based on generalized multi-protocol label switching (GMPLS) framework.

  7. Case management's value is finally recognized. What happens now? .

    Science.gov (United States)

    2015-10-01

    In recent years, case management has been recognized as a key in improving healthcare quality and reducing costs, but while hospitals are giving case managers more responsibilities, many administrators are not approving an increase in staff to handle the extra work. Case managers can help their hospital succeed with the Centers for Medicare & Medicaid Services' Value-based Purchasing program, the readmission reduction program, and bundled payments. Case management directors should make sure the hospital's senior leadership understands the roles and responsibilities of case managers and how their interventions can affect outcomes and the bottom line. The number of caseloads depends on the case management model, the responsibilities of case managers, and whether they have assistants or case management extenders who can take over some tasks and allow the licensed staff to work at the top of their licenses. Don't let technology replace communication and patient-centered interactions. PMID:26427224

  8. Combined pulmonary fibrosis and emphysema: an increasingly recognized condition

    Directory of Open Access Journals (Sweden)

    Olívia Meira Dias

    2014-06-01

    Full Text Available Combined pulmonary fibrosis and emphysema (CPFE has been increasingly recognized in the literature. Patients with CPFE are usually heavy smokers or former smokers with concomitant lower lobe fibrosis and upper lobe emphysema on chest HRCT scans. They commonly present with severe breathlessness and low DLCO, despite spirometry showing relatively preserved lung volumes. Moderate to severe pulmonary arterial hypertension is common in such patients, who are also at an increased risk of developing lung cancer. Unfortunately, there is currently no effective treatment for CPFE. In this review, we discuss the current knowledge of the pathogenesis, clinical characteristics, and prognostic factors of CPFE. Given that most of the published data on CPFE are based on retrospective analysis, more studies are needed in order to address the role of emphysema and its subtypes; the progression of fibrosis/emphysema and its correlation with inflammation; treatment options; and prognosis.

  9. An Attempt to Recognize Handwritten Tamil Character Using Kohonen SOM

    Directory of Open Access Journals (Sweden)

    R.Indra Gandhi

    2009-11-01

    Full Text Available This paper presents a new approach of Kohonen neural network based Self Organizing Map (SOM algorithm for Tamil Character Recognition. Which provides much higher performance than the traditional neural network. Approaches: Step 1: It describes how a system is used to recognize a hand written Tamil characters using a classification approach. The aim of the pre-classification is to reduce the number of possible candidates of unknown character, to a subset of the total character set. This is otherwise known as cluster, so the algorithm will try to group similar characters together. Step 2: Members of pre-classified group are further analyzed using a statistical classifier for final recognition. A recognition rate of around 79.9% was achieved for the first choice and more than 98.5% for the top three choices. The result shows that the proposed Kohonen SOM algorithm yields promising output and feasible with other existing techniques.

  10. Single-chip self-contained speech recognizer

    Energy Technology Data Exchange (ETDEWEB)

    Kimura, T.; Yano, T.; Hamaguchi, S.; Miyahara, N.; Muramoto, K.; Nagashima, H.

    1983-06-01

    A fully integrated speech recognition LSI has been developed. The speech recognition LSI can recognize a speaker-dependent vocabulary of about 200 isolated words with high accuracy in real time, using several memories, which are a phoneme template memory, word dictionary memory, and work memory. This LSI is designed to perform the total speech recognition processing, including the endpoint detection of the input utterance in a self-contained manner. With the pipelined structure of the function blocks, highly efficient parallel operations are achieved. Furthermore, satisfactory testability is assured with a scan path technique. The speech recognition LSI is fabricated with 2 MUM e/d NMOS process technology, employing two aluminium interconnection layers and a high resistivity poly-si layer. 7 references.

  11. The problem of automatic identification of concepts

    International Nuclear Information System (INIS)

    This paper deals with the problem of the automatic recognition of concepts and describes an important language tool, the ''linguistic filter'', which facilitates the construction of statistical algorithms. Certain special filters, of prepositions, conjunctions, negatives, logical implication, compound words, are presented. This is followed by a detailed description of a statistical algorithm allowing recognition of pronoun referents, and finally the problem of the automatic treatment of negatives in French is discussed

  12. Automatic text categorisation of racist webpages

    OpenAIRE

    Greevy, Edel

    2004-01-01

    Automatic Text Categorisation (TC) involves the assignment of one or more predefined categories to text documents in order that they can be effectively managed. In this thesis we examine the possibility of applying automatic text categorisation to the problem of categorising texts (web pages) based on whether or not they are racist. TC has proven successful for topic-based problems such as news story categorisation. However, the problem of detecting racism is dissimilar to topic-based pro...

  13. Development of automatic weld strength testing machine

    International Nuclear Information System (INIS)

    In order to improve the testing process and accuracy so as to carry out all the manual works including documentation automatically and effortlessly, an automatic computerised strength testing machine with the latest state-of-art technology, including both the hardware and software was developed. The operator has to only submit the weld to the machine for testing and start the testing process merely by pressing a switch. This paper depicts the salient features of this machine

  14. Dynamic Automatic Noisy Speech Recognition System (DANSR)

    OpenAIRE

    Paul, Sheuli

    2014-01-01

    In this thesis we studied and investigated a very common but a long existing noise problem and we provided a solution to this problem. The task is to deal with different types of noise that occur simultaneously and which we call hybrid. Although there are individual solutions for specific types one cannot simply combine them because each solution affects the whole speech. We developed an automatic speech recognition system DANSR ( Dynamic Automatic Noisy Speech Recognition System) for hybri...

  15. AUTOMATIC CAPTION GENERATION FOR ELECTRONICS TEXTBOOKS

    OpenAIRE

    Veena Thakur; Trupti Gedam

    2015-01-01

    Automatic or semi-automatic approaches for developing Technology Supported Learning Systems (TSLS) are required to lighten their development cost. The main objective of this paper is to automate the generation of a caption module; it aims at reproducing the way teachers prepare their lessons and the learning material they will use throughout the course. Teachers tend to choose one or more textbooks that cover the contents of their subjects, determine the topics to be addressed, and identify...

  16. Automatic Morphometry of Nerve Histological Sections

    OpenAIRE

    Romero, E.; Cuisenaire, O.; Denef, J.; Delbeke, J.; Macq, B.; Veraart, C.

    2000-01-01

    A method for the automatic segmentation, recognition and measurement of neuronal myelinated fibers in nerve histological sections is presented. In this method, the fiber parameters i.e. perimeter, area, position of the fiber and myelin sheath thickness are automatically computed. Obliquity of the sections may be taken into account. First, the image is thresholded to provide a coarse classification between myelin and non-myelin pixels. Next, the resulting binary image is further simplified usi...

  17. An automatic system for multielement solvent extractions

    International Nuclear Information System (INIS)

    The automatic system described is suitable for multi-element separations by solvent extraction techniques with organic solvents heavier than water. The analysis is run automatically by a central control unit and includes steps such as pH regulation and reduction or oxidation. As an example, the separation of radioactive Hg2+, Cu2+, Mo6+, Cd2+, As5+, Sb5+, Fe3+, and Co3+ by means of diethyldithiocarbonate complexes is reported. (Auth.)

  18. Automatic terrain modeling using transfinite element analysis

    KAUST Repository

    Collier, Nathaniel O.

    2010-05-31

    An automatic procedure for modeling terrain is developed based on L2 projection-based interpolation of discrete terrain data onto transfinite function spaces. The function space is refined automatically by the use of image processing techniques to detect regions of high error and the flexibility of the transfinite interpolation to add degrees of freedom to these areas. Examples are shown of a section of the Palo Duro Canyon in northern Texas.

  19. Evaluation framework for automatic singing transcription

    OpenAIRE

    Molina, Emilio; Ana M. Barbancho; Tardón, Lorenzo J.; Barbancho, Isabel

    2014-01-01

    In this paper, we analyse the evaluation strategies used in previous works on automatic singing transcription, and we present a novel, comprehensive and freely available evaluation framework for automatic singing transcription. This framework consists of a cross-annotated dataset and a set of extended evaluation measures, which are integrated in a Matlab toolbox. The presented evaluation measures are based on standard MIREX note-tracking measures, but they provide extra information about the ...

  20. Automatic Programming with Ant Colony Optimization

    OpenAIRE

    Green, Jennifer; Jacqueline L. Whalley; Johnson, Colin G.

    2004-01-01

    Automatic programming is the use of search techniques to find programs that solve a problem. The most commonly explored automatic programming technique is genetic programming, which uses genetic algorithms to carry out the search. In this paper we introduce a new technique called Ant Colony Programming (ACP) which uses an ant colony based search in place of genetic algorithms. This algorithm is described and compared with other approaches in the literature.

  1. Face-Based Automatic Personality Perception

    OpenAIRE

    Al Moubayed, Noura; Vazquez-Alvarez, Yolanda; McKay, Alex; Vinciarelli, Alessandro

    2014-01-01

    Automatic Personality Perception is the task of automatically predicting the personality traits people attribute to others. This work presents experiments where such a task is performed by mapping facial appearance into the Big-Five personality traits, namely Openness, Conscientiousness, Extraversion, Agreeableness and Neuroticism. The experiments are performed over the pictures of the FERET corpus, originally collected for biometrics purposes, for a total of 829 individuals. The results show...

  2. Antiproton Target

    CERN Multimedia

    1980-01-01

    Antiproton target used for the AA (antiproton accumulator). The first type of antiproton production target used from 1980 to 1982 comprised a rod of copper 3mm diameter and 120mm long embedded in a graphite cylinder that was itself pressed into a finned aluminium container. This assembly was air-cooled and it was used in conjunction with the Van der Meer magnetic horn. In 1983 Fermilab provided us with lithium lenses to replace the horn with a view to increasing the antiproton yield by about 30%. These lenses needed a much shorter target made of heavy metal - iridium was chosen for this purpose. The 50 mm iridium rod was housed in an extension to the original finned target container so that it could be brought very close to the entrance to the lithium lens. Picture 1 shows this target assembly and Picture 2 shows it mounted together with the lithium lens. These target containers had a short lifetime due to a combination of beam heating and radiation damage. This led to the design of the water-cooled target in...

  3. Automatic patient dose registry and clinical audit on line for mammography

    International Nuclear Information System (INIS)

    The use of automatic registry systems for patient dose in digital mammography allows clinical audit and patient dose analysis of the whole sample of individual mammography exposures while fulfilling the requirements of the European Directives and other international recommendations. Further parameters associated with radiation exposure (tube voltage, X-ray tube output and HVL values for different kVp and target/filter combinations, breast compression, etc.) should be periodically verified and used to evaluate patient doses. This study presents an experience in routine clinical practice for mammography using automatic systems. (authors)

  4. Recent advances in automatic alignment system for the National Iginition Facility

    Energy Technology Data Exchange (ETDEWEB)

    Wilhelmsen, K; Awwal, A; Kalantar, D; Leach, R; Lowe-Webb, R; McGuigan, D; Kamm, V

    2010-12-08

    The automatic alignment system for the National Ignition Facility (NIF) is a large-scale parallel system that directs all 192 laser beams along the 300-m optical path to a 50-micron focus at target chamber in less than 50 minutes. The system automatically commands 9,000 stepping motors to adjust mirrors and other optics based upon images acquired from high-resolution digital cameras viewing beams at various locations. Forty-five control loops per beamline request image processing services running on a LINUX cluster to analyze these images of the beams and references, and automaticallys teer the beams toward the target. This paper discusses the upgrades to the NIF automatic alignment system to handle new alignment needs and evolving requirements as related to various types of experiments performed. As NIF becomes a continuously-operated system and more experiments are performed, performance monitoring is increasingly important for maintenance and commissioning work. Data, collected during operations, is analyzed for tuning of the laser and targeting maintenance work. handling evolving alignment and maintenance needs is expected for the planned 30-year operational life of NIF.

  5. Non-kinetic capabilities: complementing the kinetic prevalence to targeting

    OpenAIRE

    Ducheine, P.

    2014-01-01

    Targeting is used in military doctrine to describe a military operational way, using (military) means to influence a target (or addressee) in order to achieve designated political and/or military goals. The four factors italicized are used to analyse non-kinetic targeting, complementing our knowledge and understanding of the kinetic prevalence. Paradoxically, non-kinetic targeting is not recognized as a separate concept: kinetic and non-kinetic are intertwined facets of targeting. Kinetic tar...

  6. Automatic Three-Dimensional Measurement of Large-Scale Structure Based on Vision Metrology

    Directory of Open Access Journals (Sweden)

    Zhaokun Zhu

    2014-01-01

    Full Text Available All relevant key techniques involved in photogrammetric vision metrology for fully automatic 3D measurement of large-scale structure are studied. A new kind of coded target consisting of circular retroreflective discs is designed, and corresponding detection and recognition algorithms based on blob detection and clustering are presented. Then a three-stage strategy starting with view clustering is proposed to achieve automatic network orientation. As for matching of noncoded targets, the concept of matching path is proposed, and matches for each noncoded target are found by determination of the optimal matching path, based on a novel voting strategy, among all possible ones. Experiments on a fixed keel of airship have been conducted to verify the effectiveness and measuring accuracy of the proposed methods.

  7. Recognizing Focal Liver Lesions in CEUS With Dynamically Trained Latent Structured Models.

    Science.gov (United States)

    Liang, Xiaodan; Lin, Liang; Cao, Qingxing; Huang, Rui; Wang, Yongtian

    2016-03-01

    This work investigates how to automatically classify Focal Liver Lesions (FLLs) into three specific benign or malignant types in Contrast-Enhanced Ultrasound (CEUS) videos, and aims at providing a computational framework to assist clinicians in FLL diagnosis. The main challenge for this task is that FLLs in CEUS videos often show diverse enhancement patterns at different temporal phases. To handle these diverse patterns, we propose a novel structured model, which detects a number of discriminative Regions of Interest (ROIs) for the FLL and recognize the FLL based on these ROIs. Our model incorporates an ensemble of local classifiers in the attempt to identify different enhancement patterns of ROIs, and in particular, we make the model reconfigurable by introducing switch variables to adaptively select appropriate classifiers during inference. We formulate the model learning as a non-convex optimization problem, and present a principled optimization method to solve it in a dynamic manner: the latent structures (e.g. the selections of local classifiers, and the sizes and locations of ROIs) are iteratively determined along with the parameter learning. Given the updated model parameters in each step, the data-driven inference is also proposed to efficiently determine the latent structures by using the sequential pruning and dynamic programming method. In the experiments, we demonstrate superior performances over the state-of-the-art approaches. We also release hundreds of CEUS FLLs videos used to quantitatively evaluate this work, which to the best of our knowledge forms the largest dataset in the literature. Please find more information at "http://vision.sysu.edu.cn/projects/fllrecog/". PMID:26513779

  8. Detailed analyses of antibodies recognizing mitochondrial antigens suggest similar or identical mechanism for production of natural antibodies and natural autoantibodies.

    Science.gov (United States)

    Czömpöly, Tamás; Olasz, Katalin; Nyárády, Zoltán; Simon, Diána; Bovári, Judit; Németh, Péter

    2008-06-01

    Because of their endosymbiotic evolutionary origin, proteins compartmentalized into mitochondria represent an interesting transition from prokaryotic foreign to essential self molecules. We investigated the presence of naturally occurring antibodies (nAbs) recognizing mitochondrial inner membrane enzymes. Epitope mapping analysis of a mitochondrial inner membrane enzyme, citrate synthase (CS) by synthetic overlapping peptides and phage display libraries using sera from healthy individuals and from patients having systemic autoimmune disease revealed CS recognizing nAbs with IgM isotype. We analyzed cross-reactive epitopes on human CS, bacterial CS, and various standard autoantigens. We have found that the fine epitope pattern on CS is different under physiological and pathological conditions. Moreover sera affinity purified on CS cross reacts with nucleosome antigen, which cross-reactivity could be mapped to a short epitope on human CS. These data indicate that in theory, nAbs "specific" for a given self antigen could fulfill the function of participating in innate defense mechanisms and at the same time recognize a target antigen in a systemic autoimmune disease. Thus, at the level of recognized epitopes there is a possible link between the innate like part and the adaptive-autoimmune arm of the humoral immune system. PMID:18558363

  9. Long Baseline Stereovision for Automatic Detection and Ranging of Moving Objects in the Night Sky

    Directory of Open Access Journals (Sweden)

    Vlad Turcu

    2012-09-01

    Full Text Available As the number of objects in Earth’s atmosphere and in low Earth orbit is continuously increasing; accurate surveillance of these objects has become important. This paper presents a generic, low cost sky surveillance system based on stereovision. Two cameras are placed 37 km apart and synchronized by a GPS-controlled external signal. The intrinsic camera parameters are calibrated before setup in the observation position, the translation vectors are determined from the GPS coordinates and the rotation matrices are continuously estimated using an original automatic calibration methodology based on following known stars. The moving objects in the sky are recognized as line segments in the long exposure images, using an automatic detection and classification algorithm based on image processing. The stereo correspondence is based on the epipolar geometry and is performed automatically using the image detection results. The resulting experimental system is able to automatically detect moving objects such as planes, meteors and Low Earth Orbit satellites, and measure their 3D position in an Earth-bound coordinate system.

  10. AUTOMATIC RECOGNITION OF BOTH INTER AND INTRA CLASSES OF DIGITAL MODULATED SIGNALS USING ARTIFICIAL NEURAL NETWORK

    Directory of Open Access Journals (Sweden)

    JIDE JULIUS POPOOLA

    2014-04-01

    Full Text Available In radio communication systems, signal modulation format recognition is a significant characteristic used in radio signal monitoring and identification. Over the past few decades, modulation formats have become increasingly complex, which has led to the problem of how to accurately and promptly recognize a modulation format. In addressing these challenges, the development of automatic modulation recognition systems that can classify a radio signal’s modulation format has received worldwide attention. Decision-theoretic methods and pattern recognition solutions are the two typical automatic modulation recognition approaches. While decision-theoretic approaches use probabilistic or likelihood functions, pattern recognition uses feature-based methods. This study applies the pattern recognition approach based on statistical parameters, using an artificial neural network to classify five different digital modulation formats. The paper deals with automatic recognition of both inter-and intra-classes of digitally modulated signals in contrast to most of the existing algorithms in literature that deal with either inter-class or intra-class modulation format recognition. The results of this study show that accurate and prompt modulation recognition is possible beyond the lower bound of 5 dB commonly acclaimed in literature. The other significant contribution of this paper is the usage of the Python programming language which reduces computational complexity that characterizes other automatic modulation recognition classifiers developed using the conventional MATLAB neural network toolbox.

  11. Visual Benefits in Apparent Motion Displays: Automatically Driven Spatial and Temporal Anticipation Are Partially Dissociated.

    Science.gov (United States)

    Ahrens, Merle-Marie; Veniero, Domenica; Gross, Joachim; Harvey, Monika; Thut, Gregor

    2015-01-01

    Many behaviourally relevant sensory events such as motion stimuli and speech have an intrinsic spatio-temporal structure. This will engage intentional and most likely unintentional (automatic) prediction mechanisms enhancing the perception of upcoming stimuli in the event stream. Here we sought to probe the anticipatory processes that are automatically driven by rhythmic input streams in terms of their spatial and temporal components. To this end, we employed an apparent visual motion paradigm testing the effects of pre-target motion on lateralized visual target discrimination. The motion stimuli either moved towards or away from peripheral target positions (valid vs. invalid spatial motion cueing) at a rhythmic or arrhythmic pace (valid vs. invalid temporal motion cueing). Crucially, we emphasized automatic motion-induced anticipatory processes by rendering the motion stimuli non-predictive of upcoming target position (by design) and task-irrelevant (by instruction), and by creating instead endogenous (orthogonal) expectations using symbolic cueing. Our data revealed that the apparent motion cues automatically engaged both spatial and temporal anticipatory processes, but that these processes were dissociated. We further found evidence for lateralisation of anticipatory temporal but not spatial processes. This indicates that distinct mechanisms may drive automatic spatial and temporal extrapolation of upcoming events from rhythmic event streams. This contrasts with previous findings that instead suggest an interaction between spatial and temporal attention processes when endogenously driven. Our results further highlight the need for isolating intentional from unintentional processes for better understanding the various anticipatory mechanisms engaged in processing behaviourally relevant stimuli with predictable spatio-temporal structure such as motion and speech. PMID:26623650

  12. Visual Benefits in Apparent Motion Displays: Automatically Driven Spatial and Temporal Anticipation Are Partially Dissociated.

    Directory of Open Access Journals (Sweden)

    Merle-Marie Ahrens

    Full Text Available Many behaviourally relevant sensory events such as motion stimuli and speech have an intrinsic spatio-temporal structure. This will engage intentional and most likely unintentional (automatic prediction mechanisms enhancing the perception of upcoming stimuli in the event stream. Here we sought to probe the anticipatory processes that are automatically driven by rhythmic input streams in terms of their spatial and temporal components. To this end, we employed an apparent visual motion paradigm testing the effects of pre-target motion on lateralized visual target discrimination. The motion stimuli either moved towards or away from peripheral target positions (valid vs. invalid spatial motion cueing at a rhythmic or arrhythmic pace (valid vs. invalid temporal motion cueing. Crucially, we emphasized automatic motion-induced anticipatory processes by rendering the motion stimuli non-predictive of upcoming target position (by design and task-irrelevant (by instruction, and by creating instead endogenous (orthogonal expectations using symbolic cueing. Our data revealed that the apparent motion cues automatically engaged both spatial and temporal anticipatory processes, but that these processes were dissociated. We further found evidence for lateralisation of anticipatory temporal but not spatial processes. This indicates that distinct mechanisms may drive automatic spatial and temporal extrapolation of upcoming events from rhythmic event streams. This contrasts with previous findings that instead suggest an interaction between spatial and temporal attention processes when endogenously driven. Our results further highlight the need for isolating intentional from unintentional processes for better understanding the various anticipatory mechanisms engaged in processing behaviourally relevant stimuli with predictable spatio-temporal structure such as motion and speech.

  13. WIRELESS SENSOR NETWORK (WSN BASED AUTOMATIC FIRING PRACTICE SYSTEM (AFPS FOR TRAINING OF LAW ENFORCEMENT AGENCIES (LEAS

    Directory of Open Access Journals (Sweden)

    Imran Jattala

    2014-12-01

    Full Text Available The critical importance of an efficient infantryman in special operations force, tactical paramilitary and Law Enforcement Agencies (LEAs is insurmountable. One of the many vital aspects of an effective solider is excellent marksmanship which requires extensive training at sophisticated firing ranges. Modern firing ranges are supported by Automatic Firing Practice Systems (AFPS and this paper presents the design and development of such a system based on WSN. AFPS provide an automatic bullet-impact count during firing training session and is modular scalable in design for multiple of eight concurrent shooters. The system is versatile and flexible allowing for different small-arms and firing training modes and supports night firing exercise. AFPS comprises of two major components, the automatic target-box and a commander console. Automatic target-box has a motor & gear assembly, target sheet, bullet-impact sensor, control board, and WiFi communication module. Commander console is a ruggedized sunlight readable 10.4” Tablet PC, which with a built-in WiFi acts an access point. The automatic target-boxes equipped with embedded WiFi modules form sensor nodes of a WSN. The paper presents the complete System Development Life Cycle (SDLC of the firing practice system and associated WSN. The AFPS and bullet-impact sensor was extensively tested on Firing Ranges for accuracy of bullet-impact count. The results showed a bullet-impact count accuracy of over 97 percent.

  14. Combinatorial microRNA target predictions

    DEFF Research Database (Denmark)

    Krek, Azra; Grün, Dominic; Poy, Matthew N.;

    2005-01-01

    MicroRNAs are small noncoding RNAs that recognize and bind to partially complementary sites in the 3' untranslated regions of target genes in animals and, by unknown mechanisms, regulate protein production of the target transcript1, 2, 3. Different combinations of microRNAs are expressed in...... different cell types and may coordinately regulate cell-specific target genes. Here, we present PicTar, a computational method for identifying common targets of microRNAs. Statistical tests using genome-wide alignments of eight vertebrate genomes, PicTar's ability to specifically recover published micro......RNA targets, and experimental validation of seven predicted targets suggest that PicTar has an excellent success rate in predicting targets for single microRNAs and for combinations of microRNAs. We find that vertebrate microRNAs target, on average, roughly 200 transcripts each. Furthermore, our results...

  15. Automatic Recognition of Fetal Facial Standard Plane in Ultrasound Image via Fisher Vector.

    Science.gov (United States)

    Lei, Baiying; Tan, Ee-Leng; Chen, Siping; Zhuo, Liu; Li, Shengli; Ni, Dong; Wang, Tianfu

    2015-01-01

    Acquisition of the standard plane is the prerequisite of biometric measurement and diagnosis during the ultrasound (US) examination. In this paper, a new algorithm is developed for the automatic recognition of the fetal facial standard planes (FFSPs) such as the axial, coronal, and sagittal planes. Specifically, densely sampled root scale invariant feature transform (RootSIFT) features are extracted and then encoded by Fisher vector (FV). The Fisher network with multi-layer design is also developed to extract spatial information to boost the classification performance. Finally, automatic recognition of the FFSPs is implemented by support vector machine (SVM) classifier based on the stochastic dual coordinate ascent (SDCA) algorithm. Experimental results using our dataset demonstrate that the proposed method achieves an accuracy of 93.27% and a mean average precision (mAP) of 99.19% in recognizing different FFSPs. Furthermore, the comparative analyses reveal the superiority of the proposed method based on FV over the traditional methods. PMID:25933215

  16. Automatic track recognition for large-angle minimum ionizing particles in nuclear emulsions

    CERN Document Server

    Fukuda, T; Ishida, H; Matsumoto, T; Matsuo, T; Mikado, S; Nishimura, S; Ogawa, S; Shibuya, H; Sudou, J; Ariga, A; Tufanli, S

    2014-01-01

    We previously developed an automatic track scanning system which enables the detection of large-angle nuclear fragments in the nuclear emulsion films of the OPERA experiment. As a next step, we have investigated this system's track recognition capability for large-angle minimum ionizing particles $(1.0 \\leq |tan \\theta| \\leq 3.5)$. This paper shows that, for such tracks, the system has a detection efficiency of 95$\\%$ or higher and reports the achieved angular accuracy of the automatically recognized tracks. This technology is of general purpose and will likely contribute not only to various analyses in the OPERA experiment, but also to future experiments, e.g. on low-energy neutrino and hadron interactions, or to future research on cosmic rays using nuclear emulsions carried by balloons.

  17. Automatic track recognition for large-angle minimum ionizing particles in nuclear emulsions

    International Nuclear Information System (INIS)

    We previously developed an automatic track scanning system which enables the detection of large-angle nuclear fragments in the nuclear emulsion films of the OPERA experiment. As a next step, we have investigated this system's track recognition capability for large-angle minimum ionizing particles (1.0 ≤ |tan θ| ≤ 3.5). This paper shows that, for such tracks, the system has a detection efficiency of 95% or higher and reports the achieved angular accuracy of the automatically recognized tracks. This technology is of general purpose and will likely contribute not only to various analyses in the OPERA experiment, but also to future experiments, e.g. on low-energy neutrino and hadron interactions, or to future research on cosmic rays using nuclear emulsions carried by balloons

  18. [Is the parasite fauna of Poland well recognized?].

    Science.gov (United States)

    Pojmańska, Teresa; Niewiadomska, Katarzyna

    2003-01-01

    The studies of parasite fauna have in Poland a long tradition. Generally the helmint fauna of all groups of vertebrates was more or less examined and as much as over 100 species of Monogenea, almost 400 Digenea, over 250 Cestoda, about 500 Nematoda and 32 Acanthocephala have been recorded. The best recognized are the helminths of fish (especially those of Cyprinidae, Esocidae, Percidae and Salmonidae), frogs examined in various regions of Poland, some birds (especially connected with water environment: Anseriformes, Ciconiformes, Podicipediformes), most of insectivores (although examined only in few localities), European bisons, deers, foxes and wild boars (all under permanent monitoring), as well as domestic animals (cattle, horses, sheeps) and pets. Such groups like some amphibians, reptiles, bats, carniwores, some birds (especially Passeriformes, Charadriiformes, falcons and eagles) need further exploration, as some host species were not the subject of parasitological investigation. In some cases it will be rather difficult goal, as most of these animals are under strict preservation, and only dead (naturally or accidentally) specimens can be autopsied. PMID:16888930

  19. The repertoire of glycosphingolipids recognized by Vibrio cholerae.

    Directory of Open Access Journals (Sweden)

    John Benktander

    Full Text Available The binding of cholera toxin to the ganglioside GM1 as the initial step in the process leading to diarrhea is nowadays textbook knowledge. In contrast, the knowledge about the mechanisms for attachment of Vibrio cholerae bacterial cells to the intestinal epithelium is limited. In order to clarify this issue, a large number of glycosphingolipid mixtures were screened for binding of El Tor V. cholerae. Several specific interactions with minor complex non-acid glycosphingolipids were thereby detected. After isolation of binding-active glycosphingolipids, characterization by mass spectrometry and proton NMR, and comparative binding studies, three distinct glycosphingolipid binding patterns were defined. Firstly, V. cholerae bound to complex lacto/neolacto glycosphingolipids with the GlcNAcβ3Galβ4GlcNAc sequence as the minimal binding epitope. Secondly, glycosphingolipids with a terminal Galα3Galα3Gal moiety were recognized, and the third specificity was the binding to lactosylceramide and related compounds. V. cholerae binding to lacto/neolacto glycosphingolipids, and to the other classes of binding-active compounds, remained after deletion of the chitin binding protein GbpA. Thus, the binding of V. cholerae to chitin and to lacto/neolacto containing glycosphingolipids represents two separate binding specificities.

  20. Human efficiency for recognizing 3-D objects in luminance noise.

    Science.gov (United States)

    Tjan, B S; Braje, W L; Legge, G E; Kersten, D

    1995-11-01

    The purpose of this study was to establish how efficiently humans use visual information to recognize simple 3-D objects. The stimuli were computer-rendered images of four simple 3-D objects--wedge, cone, cylinder, and pyramid--each rendered from 8 randomly chosen viewing positions as shaded objects, line drawings, or silhouettes. The objects were presented in static, 2-D Gaussian luminance noise. The observer's task was to indicate which of the four objects had been presented. We obtained human contrast thresholds for recognition, and compared these to an ideal observer's thresholds to obtain efficiencies. In two auxiliary experiments, we measured efficiencies for object detection and letter recognition. Our results showed that human object-recognition efficiency is low (3-8%) when compared to efficiencies reported for some other visual-information processing tasks. The low efficiency means that human recognition performance is limited primarily by factors intrinsic to the observer rather than the information content of the stimuli. We found three factors that play a large role in accounting for low object-recognition efficiency: stimulus size, spatial uncertainty, and detection efficiency. Four other factors play a smaller role in limiting object-recognition efficiency: observers' internal noise, stimulus rendering condition, stimulus familiarity, and categorization across views. PMID:8533342

  1. AN EFFICIENT NEURAL NETWORK FOR RECOGNIZING GESTURAL HINDI DIGITS

    Directory of Open Access Journals (Sweden)

    Nidal Fawzi Shilbayeh

    2013-01-01

    Full Text Available Handwritten Hindi digit recognition plays an important role in eastern Arab countries especially in the courtesy amounts of Arab bank checks, recognizing numbers in car plates, or in postal code for mail sorting. In our study, we proposed an efficient Hindi Digit Recognition System drawn by the mouse and developed using Multilayer Perceptron Neural Network (MLP with backpropagation. The system has been designed, implemented and tested successfully. Analysis has been carried out to determine the number of hidden nodes that achieves high performance. The proposed system has been trained on samples of 800 images and tested on samples of 300 images written by different users selected from different ages. An experimental result shows high accuracy of about 91% on the testing samples and very close to 100% on the training samples. Experiments showed that our result is high in comparison with other Hindi digit recognition systems especially if we consider the way of writing (mouse and children in our trained and tested results.

  2. A deep convolutional neural network for recognizing foods

    Science.gov (United States)

    Jahani Heravi, Elnaz; Habibi Aghdam, Hamed; Puig, Domenec

    2015-12-01

    Controlling the food intake is an efficient way that each person can undertake to tackle the obesity problem in countries worldwide. This is achievable by developing a smartphone application that is able to recognize foods and compute their calories. State-of-art methods are chiefly based on hand-crafted feature extraction methods such as HOG and Gabor. Recent advances in large-scale object recognition datasets such as ImageNet have revealed that deep Convolutional Neural Networks (CNN) possess more representation power than the hand-crafted features. The main challenge with CNNs is to find the appropriate architecture for each problem. In this paper, we propose a deep CNN which consists of 769; 988 parameters. Our experiments show that the proposed CNN outperforms the state-of-art methods and improves the best result of traditional methods 17%. Moreover, using an ensemble of two CNNs that have been trained two different times, we are able to improve the classification performance 21:5%.

  3. Feature Engineering for Recognizing Adverse Drug Reactions from Twitter Posts

    Directory of Open Access Journals (Sweden)

    Hong-Jie Dai

    2016-05-01

    Full Text Available Social media platforms are emerging digital communication channels that provide an easy way for common people to share their health and medication experiences online. With more people discussing their health information online publicly, social media platforms present a rich source of information for exploring adverse drug reactions (ADRs. ADRs are major public health problems that result in deaths and hospitalizations of millions of people. Unfortunately, not all ADRs are identified before a drug is made available in the market. In this study, an ADR event monitoring system is developed which can recognize ADR mentions from a tweet and classify its assertion. We explored several entity recognition features, feature conjunctions, and feature selection and analyzed their characteristics and impacts on the recognition of ADRs, which have never been studied previously. The results demonstrate that the entity recognition performance for ADR can achieve an F-score of 0.562 on the PSB Social Media Mining shared task dataset, which outperforms the partial-matching-based method by 0.122. After feature selection, the F-score can be further improved by 0.026. This novel technique of text mining utilizing shared online social media data will open an array of opportunities for researchers to explore various health related issues.

  4. Developing paediatric medicines: identifying the needs and recognizing the challenges.

    Science.gov (United States)

    Ernest, Terry B; Elder, David P; Martini, Luigi G; Roberts, Matthew; Ford, James L

    2007-08-01

    There is a significant need for research and development into paediatric medicines. Only a small fraction of the drugs marketed and utilized as therapeutic agents in children have been clinically evaluated. The majority of marketed drugs are either not labelled, or inadequately labelled, for use in paediatric patients. The absence of suitable medicines or critical safety and efficacy information poses significant risks to a particularly vulnerable patient population. However, there are many challenges associated with developing medicines for the paediatric population and this review paper is intended to highlight these. The paediatric population is made up of a wide range of individuals of substantially varied physical size, weight and stage of physiological development. Experimentation on children is considered by many to be unethical, resulting in difficulties in obtaining critical safety data. Clinical trials are subject to detailed scrutiny by the various regulatory bodies who have recently recognized the need for pharmaceutical companies to invest in paediatric medicines. The costs associated with paediatric product development could result in poor or negative return on investment and so incentives have been proposed by the EU and US regulatory bodies. Additionally, some commonly used excipients may be unsuitable for use in children; and some dosage forms may be undesirable to the paediatric population. PMID:17725846

  5. Recognizing sights, smells, and sounds with gnostic fields.

    Directory of Open Access Journals (Sweden)

    Christopher Kanan

    Full Text Available Mammals rely on vision, audition, and olfaction to remotely sense stimuli in their environment. Determining how the mammalian brain uses this sensory information to recognize objects has been one of the major goals of psychology and neuroscience. Likewise, researchers in computer vision, machine audition, and machine olfaction have endeavored to discover good algorithms for stimulus classification. Almost 50 years ago, the neuroscientist Jerzy Konorski proposed a theoretical model in his final monograph in which competing sets of "gnostic" neurons sitting atop sensory processing hierarchies enabled stimuli to be robustly categorized, despite variations in their presentation. Much of what Konorski hypothesized has been remarkably accurate, and neurons with gnostic-like properties have been discovered in visual, aural, and olfactory brain regions. Surprisingly, there have not been any attempts to directly transform his theoretical model into a computational one. Here, I describe the first computational implementation of Konorski's theory. The model is not domain specific, and it surpasses the best machine learning algorithms on challenging image, music, and olfactory classification tasks, while also being simpler. My results suggest that criticisms of exemplar-based models of object recognition as being computationally intractable due to limited neural resources are unfounded.

  6. On Automatic Fire Extinguishing Sprinkler System%浅谈自动喷水灭火系统

    Institute of Scientific and Technical Information of China (English)

    马龙; 吕兆毅; 张小洁

    2013-01-01

    Having the function of fire prevention, fire control and fire extinguishing, the automatic fire extinguishing sprinkler system is internationally recognized as the most effective automatic fire extinguishing facility and is an important component of modern building fire prevention technology. This article briefly analyzes the automatic fire extinguishing sprinkler system and discusses the common problems in design.%自动喷水灭火系统同时具备了防火、控火、灭火的功能,是国际上公认的最为有效的自动灭火设施,是现代建筑防火技术的重要组成部分。文章简单对自动喷水灭火系统进行分析,对设计中常见问题进行讨论。

  7. Realization of the ergonomics design and automatic control of the fundus cameras

    Science.gov (United States)

    Zeng, Chi-liang; Xiao, Ze-xin; Deng, Shi-chao; Yu, Xin-ye

    2012-12-01

    The principles of ergonomics design in fundus cameras should be extending the agreeableness by automatic control. Firstly, a 3D positional numerical control system is designed for positioning the eye pupils of the patients who are doing fundus examinations. This system consists of a electronically controlled chin bracket for moving up and down, a lateral movement of binocular with the detector and the automatic refocusing of the edges of the eye pupils. Secondly, an auto-focusing device for the object plane of patient's fundus is designed, which collects the patient's fundus images automatically whether their eyes is ametropic or not. Finally, a moving visual target is developed for expanding the fields of the fundus images.

  8. Tracker-aided adaptive multi-frame recognition of a specific target

    Science.gov (United States)

    Mahalanobis, Abhijit

    2016-05-01

    We consider the problem of recognizing a particular target of interest (i.e. the "correct" target) while rejecting other targets and background clutter. In such instances, the probability of recognizing the correct target (PCT) is a suitable metric for assessing the performance of the target recognition algorithm. We present a definition for PCT and illustrate how it differs from conventional metrics for target recognition by means of an example. It is further shown that an adaptive target recognition algorithm, which relies on track position to obtain multiple looks at the target, can significantly improve PCT while reducing the track uncertainty.

  9. Distinct oligoclonal band antibodies in multiple sclerosis recognize ubiquitous self-proteins.

    Science.gov (United States)

    Brändle, Simone M; Obermeier, Birgit; Senel, Makbule; Bruder, Jessica; Mentele, Reinhard; Khademi, Mohsen; Olsson, Tomas; Tumani, Hayrettin; Kristoferitsch, Wolfgang; Lottspeich, Friedrich; Wekerle, Hartmut; Hohlfeld, Reinhard; Dornmair, Klaus

    2016-07-12

    Oligoclonal Ig bands (OCBs) of the cerebrospinal fluid are a hallmark of multiple sclerosis (MS), a disabling inflammatory disease of the central nervous system (CNS). OCBs are locally produced by clonally expanded antigen-experienced B cells and therefore are believed to hold an important clue to the pathogenesis. However, their target antigens have remained unknown, mainly because it was thus far not possible to isolate distinct OCBs against a background of polyclonal antibodies. To overcome this obstacle, we copurified disulfide-linked Ig heavy and light chains from distinct OCBs for concurrent analysis by mass spectrometry and aligned patient-specific peptides to corresponding transcriptome databases. This method revealed the full-length sequences of matching chains from distinct OCBs, allowing for antigen searches using recombinant OCB antibodies. As validation, we demonstrate that an OCB antibody from a patient with an infectious CNS disorder, neuroborreliosis, recognized a Borrelia protein. Next, we produced six recombinant antibodies from four MS patients and identified three different autoantigens. All of them are conformational epitopes of ubiquitous intracellular proteins not specific to brain tissue. Our findings indicate that the B-cell response in MS is heterogeneous and partly directed against intracellular autoantigens released during tissue destruction. In addition to helping elucidate the role of B cells in MS, our approach allows the identification of target antigens of OCB antibodies in other neuroinflammatory diseases and the production of therapeutic antibodies in infectious CNS diseases. PMID:27325759

  10. Selection and characterization of single stranded DNA aptamers recognizing fumonisin B1

    International Nuclear Information System (INIS)

    We present an improved method for the selection of single-stranded DNA aptamers that can recognize fumonisin B1 (FB1). FB1 is a carcinogenic mycotoxin mainly found in corn and corn-based food products worldwide, posing a global threat to feed and food safety. Selection was based on the mag-SELEX (magnetic bead systematic evolution of ligands by exponential enrichment) technology modified by adopting free analogs of targets rather than immobilized targets for counter selections. Firstly, aptamer candidates for FB1 were selected from an 80 nt random DNA library after 13 rounds of selection. Next, binding assays were performed for affinity evaluation, and circular dichroism spectroscopy was used to investigate their conformation. A high-affinity aptamer designated as F10 (with a dissociation constant of 62 ± 5 nM) was identified and tested for its specificity by competitive binding assays. The results demonstrate that this improved mag-SELEX technology facilitates aptamer screening because it avoids the tedious immobilization of counter-selection molecules on magnetic beads. The aptamers obtained by this technique open new possibilities for the detection of FB1 via aptasensors. (author)

  11. Iterative Strategies for Aftershock Classification in Automatic Seismic Processing Pipelines

    Science.gov (United States)

    Gibbons, Steven J.; Kværna, Tormod; Harris, David B.; Dodge, Douglas A.

    2016-04-01

    Aftershock sequences following very large earthquakes present enormous challenges to near-realtime generation of seismic bulletins. The increase in analyst resources needed to relocate an inflated number of events is compounded by failures of phase association algorithms and a significant deterioration in the quality of underlying fully automatic event bulletins. Current processing pipelines were designed a generation ago and, due to computational limitations of the time, are usually limited to single passes over the raw data. With current processing capability, multiple passes over the data are feasible. Processing the raw data at each station currently generates parametric data streams which are then scanned by a phase association algorithm to form event hypotheses. We consider the scenario where a large earthquake has occurred and propose to define a region of likely aftershock activity in which events are detected and accurately located using a separate specially targeted semi-automatic process. This effort may focus on so-called pattern detectors, but here we demonstrate a more general grid search algorithm which may cover wider source regions without requiring waveform similarity. Given many well-located aftershocks within our source region, we may remove all associated phases from the original detection lists prior to a new iteration of the phase association algorithm. We provide a proof-of-concept example for the 2015 Gorkha sequence, Nepal, recorded on seismic arrays of the International Monitoring System. Even with very conservative conditions for defining event hypotheses within the aftershock source region, we can automatically remove over half of the original detections which could have been generated by Nepal earthquakes and reduce the likelihood of false associations and spurious event hypotheses. Further reductions in the number of detections in the parametric data streams are likely using correlation and subspace detectors and/or empirical matched

  12. An Automatic Framework Using Space-Time Processing and TR-MUSIC for Subsurface and Through-Wall Multitarget Imaging

    Directory of Open Access Journals (Sweden)

    Si-hao Tan

    2012-01-01

    Full Text Available We present an automatic framework combined space-time signal processing with Time Reversal electromagnetic (EM inversion for subsurface and through-wall multitarget imaging using electromagnetic waves. This framework is composed of a frequency-wavenumber (FK filter to suppress direct wave and medium bounce, a FK migration algorithm to automatically estimate the number of targets and identify target regions, which can be used to reduce the computational complexity of the following imaging algorithm, and a EM inversion algorithm using Time Reversal Multiple Signal Classification (TR-MUSIC to reconstruct hidden objects. The feasibility of the framework is demonstrated with simulated data generated by GPRMAX.

  13. Automatic welding techniques for nuclear power plants

    International Nuclear Information System (INIS)

    Improved type BWRs (ABWR) further heightened the operation properties, safety and economic efficiency as the synthetic characteristics of the plants by simplification and the heightening of performance. Especially, reactor internal pumps (RIP) together with improved control rod driving (CRD) system promoted the simplification of reactor system and the improvement of operation properties and safety. The structures of RIP casing proper and the welded parts, the automatic TIG welder for RIP casings and the nondestructive inspection after the welding, the three-dimensional automatic welding of CRD stubs, the narrow gap welding of flow nozzles and the automatic welding of spent fuel storage racks are reported. The works of exchanging the recirculating pipings in reactors to 316L pipes withstanding SCC by remote automatic welding to reduce the radiation exposure of workers are introduced. The fully automatic TIG welding system for pipings was developed for the purpose of realizing unmanned welding or the welding that does not require skill, and its constitution and the performance are described. (K.I.)

  14. Automatic query formulations in information retrieval.

    Science.gov (United States)

    Salton, G; Buckley, C; Fox, E A

    1983-07-01

    Modern information retrieval systems are designed to supply relevant information in response to requests received from the user population. In most retrieval environments the search requests consist of keywords, or index terms, interrelated by appropriate Boolean operators. Since it is difficult for untrained users to generate effective Boolean search requests, trained search intermediaries are normally used to translate original statements of user need into useful Boolean search formulations. Methods are introduced in this study which reduce the role of the search intermediaries by making it possible to generate Boolean search formulations completely automatically from natural language statements provided by the system patrons. Frequency considerations are used automatically to generate appropriate term combinations as well as Boolean connectives relating the terms. Methods are covered to produce automatic query formulations both in a standard Boolean logic system, as well as in an extended Boolean system in which the strict interpretation of the connectives is relaxed. Experimental results are supplied to evaluate the effectiveness of the automatic query formulation process, and methods are described for applying the automatic query formulation process in practice. PMID:10299297

  15. On the malleability of automatic attitudes: combating automatic prejudice with images of admired and disliked individuals.

    Science.gov (United States)

    Dasgupta, N; Greenwald, A G

    2001-11-01

    Two experiments examined whether exposure to pictures of admired and disliked exemplars can reduce automatic preference for White over Black Americans and younger over older people. In Experiment 1, participants were exposed to either admired Black and disliked White individuals, disliked Black and admired White individuals, or nonracial exemplars. Immediately after exemplar exposure and 24 hr later, they completed an Implicit Association Test that assessed automatic racial attitudes and 2 explicit attitude measures. Results revealed that exposure to admired Black and disliked White exemplars significantly weakened automatic pro-White attitudes for 24 hr beyond the treatment but did not affect explicit racial attitudes. Experiment 2 provided a replication using automatic age-related attitudes. Together, these studies provide a strategy that attempts to change the social context and, through it, to reduce automatic prejudice and preference. PMID:11708558

  16. RECOVIR: An application package to automatically identify some single stranded RNA viruses using capsid protein residues that uniquely distinguish among these viruses

    Directory of Open Access Journals (Sweden)

    Fox George E

    2007-10-01

    Full Text Available Abstract Background Most single stranded RNA (ssRNA viruses mutate rapidly to generate large number of strains having highly divergent capsid sequences. Accurate strain recognition in uncharacterized target capsid sequences is essential for epidemiology, diagnostics, and vaccine development. Strain recognition based on similarity scores between target sequences and sequences of homology matched reference strains is often time consuming and ambiguous. This is especially true if only partial target sequences are available or if different ssRNA virus families are jointly analyzed. In such cases, knowledge of residues that uniquely distinguish among known reference strains is critical for rapid and unambiguous strain identification. Conventional sequence comparisons are unable to identify such capsid residues due to high sequence divergence among the ssRNA virus reference strains. Consequently, automated general methods to reliably identify strains using strain distinguishing residues are not currently available. Results We present here RECOVIR ("recognize viruses", a software tool to automatically detect strains of caliciviruses and picornaviruses by comparing their capsid residues with built-in databases of residues that uniquely distinguish among known reference strains of these viruses. The databases were created by constructing partitioned phylogenetic trees of complete capsid sequences of these viruses. Strains were correctly identified for more than 300 complete and partial target sequences by comparing the database residues with the aligned residues of these sequences. It required about 5 seconds of real time to process each sequence. A Java-based user interface coupled with Perl-coded computational modules ensures high portability of the software. RECOVIR currently runs on Windows XP and Linux platforms. The software generalizes a manual method briefly outlined earlier for human caliciviruses. Conclusion This study shows implementation of

  17. Eastern Ishtar Terra: Tectonic evolution derived from recognized features

    Science.gov (United States)

    Vorderbruegge, R. W.; Head, James W.

    Previous analyses have recognized several styles and orientations of compressional deformation, crustal convergence, and crustal thickening in Eastern Ishtar Terra. An east to west sense of crustal convergence through small scale folding, thrusting, and buckling is reflected in the high topography and ridge-and-valley morphology of Maxwell Montes and the adjacent portion of Fortuna Tessera. This east to west convergence was accompanied by up to 1000 km of lateral motion and large scale strike-slip faulting within two converging shear zones which has resulted in the present morphology of Maxwell Montes. A more northeast to southwest sense of convergence through large scale buckling and imbrication is reflected in large, northwest-trending scarps along the entire northern boundary of Ishtar Terra, with up to 2 km of relief present at many of the scarps. It was previously suggested that both styles of compression have occurred at the expense of pre-existing tessera regions which have then been overprinted by the latest convergence event. The difference in style is attributed mostly to differences in the properties of the crust converging with the tessera blocks. If one, presumably thick, tessera block converges with another tessera region, then the widespread, distributed style of deformation occurs, as observed in western Fortuna Tessera. However, if relatively thin crust (such as suggested for the North Polar Plains converges with thicker tessera regions, then localized deformation occurs, as reflected in the scarps along Northern Ishtar Terra. The purpose is to identify the types of features observed in Eastern Ishtar Terra. Their potential temporal and spatial relationships, is described, possible origins for them is suggested, and how the interpretation of some of these features has led to the multiple-style tectonic evolution model described is shown.

  18. Eastern Ishtar Terra: Tectonic evolution derived from recognized features

    International Nuclear Information System (INIS)

    Previous analyses have recognized several styles and orientations of compressional deformation, crustal convergence, and crustal thickening in Eastern Ishtar Terra. An east to west sense of crustal convergence through small scale folding, thrusting, and buckling is reflected in the high topography and ridge-and-valley morphology of Maxwell Montes and the adjacent portion of Fortuna Tessera. This east to west convergence was accompanied by up to 1000 km of lateral motion and large scale strike-slip faulting within two converging shear zones which has resulted in the present morphology of Maxwell Montes. A more northeast to southwest sense of convergence through large scale buckling and imbrication is reflected in large, northwest-trending scarps along the entire northern boundary of Ishtar Terra, with up to 2 km of relief present at many of the scarps. It was previously suggested that both styles of compression have occurred at the expense of pre-existing tessera regions which have then been overprinted by the latest convergence event. The difference in style is attributed mostly to differences in the properties of the crust converging with the tessera blocks. If one, presumably thick, tessera block converges with another tessera region, then the widespread, distributed style of deformation occurs, as observed in western Fortuna Tessera. However, if relatively thin crust such as suggested for the North Polar Plains converges with thicker tessera regions, then localized deformation occurs, as reflected in the scarps along Northern Ishtar Terra. The purpose is to identify the types of features observed in Eastern Ishtar Terra. Their potential temporal and spatial relationships, is described, possible origins for them is suggested, and how the interpretation of some of these features has led to the multiple-style tectonic evolution model described is shown

  19. Aspects of abuse: recognizing and responding to child maltreatment.

    Science.gov (United States)

    Jackson, Allison M; Kissoon, Natalie; Greene, Christian

    2015-03-01

    Child maltreatment is a public health problem and toxic stress impacting at least 1 in 8 children by the age of 18 years. Maltreatment can take the form of physical and sexual abuse, neglect, and emotional maltreatment. While some children may experience only one form of maltreatment, others may survive multiple forms, and in some cases particularly complex forms of maltreatment such as torture and medical child abuse. When considering maltreatment, providers should be adept at obtaining a thorough history not only from the parent but when appropriate also from the patient. The most common form of child maltreatment is neglect, which encompasses nutritional and medical neglect, as well as other forms such as physical and emotional neglect. Talking with caregivers about stressors and barriers to care may give insight into the etiology for neglect and is an opportunity for the provider to offer or refer for needed assistance. Familiarity with injury patterns and distribution in the context of developmental milestones and injury mechanisms is critical to the recognition of physical abuse. While most anogenital exam results of child victims of sexual abuse are normal, knowing the normal variations for the female genitalia, and thereby recognizing abnormal findings, is important not only forensically but also more importantly for patient care. Pattern recognition does not only apply to specific injuries or constellation of injuries but also applies to patterns of behavior. Harmful patterns of behavior include psychological maltreatment and medical child abuse, both of which cause significant harm to patients. As health professionals serving children and families, pediatric providers are in a unique position to identify suspected maltreatment and intervene through the health care system in order to manage the physical and psychological consequences of maltreatment and to promote the safety and well-being of children and youth by making referrals to child protective

  20. Targeted Learning

    CERN Document Server

    van der Laan, Mark J

    2011-01-01

    The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever; data sets are massive, often measuring hundreds of thousands of measurements for a single subject. The field is ready to move towards clear objective benchmarks under which tools can be evaluated. Targeted learning allows (1) the full generalization and utilization of cross-validation as an estimator selection tool so that the subjective choices made by humans are now made by the machine, and (2) targeting the fitting of the probability distribution of the data toward the targe

  1. Automaticity Revisited: When Print Doesn't Activate Semantics

    Directory of Open Access Journals (Sweden)

    Elsa Magdalena Labuschagne

    2015-02-01

    Full Text Available It is widely accepted that the presentation of a printed word automatically triggers processing that ends with full semantic activation. This processing, among other characteristics, is held to occur without intention, and cannot be stopped. The results of the present experiment show that this account is problematic in the context of a variant of the Stroop paradigm. Subjects named the print color of words that were either neutral or semantically related to color. When the letters were all colored, all spatially cued, and the spaces between letters were filled with characters from the top of the keyboard (i.e., 4, #, 5, %, 6, and *, color naming yielded a semantically based Stroop effect and a semantically based negative priming effect. In contrast, the same items yielded neither a semantic Stroop effect nor a negative priming effect when a single target letter was uniquely colored and spatially cued. These findings undermine the widespread view that lexical-semantic activation in word reading is automatic in the sense that it occurs without intention and cannot be derailed.

  2. Automaticity revisited: when print doesn't activate semantics.

    Science.gov (United States)

    Labuschagne, Elsa M; Besner, Derek

    2015-01-01

    It is widely accepted that the presentation of a printed word "automatically" triggers processing that ends with full semantic activation. This processing, among other characteristics, is held to occur without intention, and cannot be stopped. The results of the present experiment show that this account is problematic in the context of a variant of the Stroop paradigm. Subjects named the print color of words that were either neutral or semantically related to color. When the letters were all colored, all spatially cued, and the spaces between letters were filled with characters from the top of the keyboard (i.e., 4, #, 5, %, 6, and *), color naming yielded a semantically based Stroop effect and a semantically based negative priming effect. In contrast, the same items yielded neither a semantic Stroop effect nor a negative priming effect when a single target letter was uniquely colored and spatially cued. These findings (a) undermine the widespread view that lexical-semantic activation in word reading is automatic in the sense that it occurs without intention and cannot be derailed, and (b) strengthens the case that both implicit and explicit forms of visual word recognition require spatial attention as a necessary preliminary to lexical-semantic processing. PMID:25713553

  3. Automatic Tooth Segmentation of Dental Mesh Based on Harmonic Fields.

    Science.gov (United States)

    Liao, Sheng-hui; Liu, Shi-jian; Zou, Bei-ji; Ding, Xi; Liang, Ye; Huang, Jun-hui

    2015-01-01

    An important preprocess in computer-aided orthodontics is to segment teeth from the dental models accurately, which should involve manual interactions as few as possible. But fully automatic partition of all teeth is not a trivial task, since teeth occur in different shapes and their arrangements vary substantially from one individual to another. The difficulty is exacerbated when severe teeth malocclusion and crowding problems occur, which is a common occurrence in clinical cases. Most published methods in this area either are inaccurate or require lots of manual interactions. Motivated by the state-of-the-art general mesh segmentation methods that adopted the theory of harmonic field to detect partition boundaries, this paper proposes a novel, dental-targeted segmentation framework for dental meshes. With a specially designed weighting scheme and a strategy of a priori knowledge to guide the assignment of harmonic constraints, this method can identify teeth partition boundaries effectively. Extensive experiments and quantitative analysis demonstrate that the proposed method is able to partition high-quality teeth automatically with robustness and efficiency. PMID:26413507

  4. Automatic Tooth Segmentation of Dental Mesh Based on Harmonic Fields

    Directory of Open Access Journals (Sweden)

    Sheng-hui Liao

    2015-01-01

    Full Text Available An important preprocess in computer-aided orthodontics is to segment teeth from the dental models accurately, which should involve manual interactions as few as possible. But fully automatic partition of all teeth is not a trivial task, since teeth occur in different shapes and their arrangements vary substantially from one individual to another. The difficulty is exacerbated when severe teeth malocclusion and crowding problems occur, which is a common occurrence in clinical cases. Most published methods in this area either are inaccurate or require lots of manual interactions. Motivated by the state-of-the-art general mesh segmentation methods that adopted the theory of harmonic field to detect partition boundaries, this paper proposes a novel, dental-targeted segmentation framework for dental meshes. With a specially designed weighting scheme and a strategy of a priori knowledge to guide the assignment of harmonic constraints, this method can identify teeth partition boundaries effectively. Extensive experiments and quantitative analysis demonstrate that the proposed method is able to partition high-quality teeth automatically with robustness and efficiency.

  5. A versatile automatic TLD system under development

    International Nuclear Information System (INIS)

    This paper describes an automatic TLD personnel monitoring system intended to replace the filmbadges used by the Radiological Service Unit TNO. The basis of the system is a versatile automatic TLD reader in which the detectors are heated with hot nitrogen gas. After a short description of the reader and some experimental results, a prototype of a TLD badge designed for automatic processing is presented. In this badge - which is waterproof and cannot be opened by the wearer - up to four detectors can be mounted, covered by appropriate filters. A variety of TLD's may be used such as discs, hot-pressed chips and rods. The system is completed with a fingering dosemeter, the detector holder of which can be separated from the ring for other applications (e.g. dosimetry in X-ray diagnostics). (author)

  6. Automatic exploitation system for photographic dosemeters

    International Nuclear Information System (INIS)

    The Laboratory of Dosimetry Exploitation (LED) has realized an equipment allowing to exploit automatically photographic film dosemeters. This system uses an identification of the films by code-bars and gives the doses measurement with a completely automatic reader. The principle consists in putting in ribbon the emulsions to be exploited and to develop them in a circulation machine. The measurement of the blackening film is realized on a reading plate having fourteen points of reading, in which are circulating the emulsions in ribbon. The exploitation is made with the usual dose calculation method, with special computers codes. A comparison on 2000 dosemeters has shown that the results are the same in manual and automatical methods. This system has been operating since July 1995 by the LED. (N.C.)

  7. Fault injection system for automatic testing system

    Institute of Scientific and Technical Information of China (English)

    王胜文; 洪炳熔

    2003-01-01

    Considering the deficiency of the means for confirming the attribution of fault redundancy in the re-search of Automatic Testing System(ATS) , a fault-injection system has been proposed to study fault redundancyof automatic testing system through compurison. By means of a fault-imbeded environmental simulation, thefaults injected at the input level of the software are under test. These faults may induce inherent failure mode,thus bringing about unexpected output, and the anticipated goal of the test is attained. The fault injection con-sists of voltage signal generator, current signal generator and rear drive circuit which are specially developed,and the ATS can work regularly by means of software simulation. The experimental results indicate that the faultinjection system can find the deficiency of the automatic testing software, and identify the preference of fault re-dundancy. On the other hand, some soft deficiency never exposed before can be identified by analyzing the tes-ting results.

  8. Support vector machine for automatic pain recognition

    Science.gov (United States)

    Monwar, Md Maruf; Rezaei, Siamak

    2009-02-01

    Facial expressions are a key index of emotion and the interpretation of such expressions of emotion is critical to everyday social functioning. In this paper, we present an efficient video analysis technique for recognition of a specific expression, pain, from human faces. We employ an automatic face detector which detects face from the stored video frame using skin color modeling technique. For pain recognition, location and shape features of the detected faces are computed. These features are then used as inputs to a support vector machine (SVM) for classification. We compare the results with neural network based and eigenimage based automatic pain recognition systems. The experiment results indicate that using support vector machine as classifier can certainly improve the performance of automatic pain recognition system.

  9. AUTOMATIC WEB SCRAPPING USING VISUAL SELECTORS

    Directory of Open Access Journals (Sweden)

    Rashmi Bhosale

    2015-12-01

    Full Text Available The amount of information that is currently vailable on the net grows at a very fast pace, thus web can be considered as the largest knowledge repository ever developed and made available to the public. A web data extraction system is a system that extracts data from web pages automatically. Web data analysis applications such as extracting mutual funds information from a website, extracting opening and closing price of stock daily from a web page and so on involves web data extraction.Early techniques were construcingt wrapper to visit those sites and collect data which is time consuming. Thus a technique called as Automatic Web Scrapping Using Visual Selectors(AWSUVS is proposed. For selected data sections AWSUVS discovers extraction pattern automatically. AWSUVS uses visual cues to identify data records while ignoring noise items such as advertises and navigation bars.

  10. Research on an Intelligent Automatic Turning System

    Directory of Open Access Journals (Sweden)

    Lichong Huang

    2012-12-01

    Full Text Available Equipment manufacturing industry is the strategic industries of a country. And its core part is the CNC machine tool. Therefore, enhancing the independent research of relevant technology of CNC machine, especially the open CNC system, is of great significance. This paper presented some key techniques of an Intelligent Automatic Turning System and gave a viable solution for system integration. First of all, the integrated system architecture and the flexible and efficient workflow for perfoming the intelligent automatic turning process is illustrated. Secondly, the innovated methods of the workpiece feature recognition and expression and process planning of the NC machining are put forward. Thirdly, the cutting tool auto-selection and the cutting parameter optimization solution are generated with a integrated inference of rule-based reasoning and case-based reasoning. Finally, the actual machining case based on the developed intelligent automatic turning system proved the presented solutions are valid, practical and efficient.

  11. An Automatic Hierarchical Delay Analysis Tool

    Institute of Scientific and Technical Information of China (English)

    FaridMheir-El-Saadi; BozenaKaminska

    1994-01-01

    The performance analysis of VLSI integrated circuits(ICs) with flat tools is slow and even sometimes impossible to complete.Some hierarchical tools have been developed to speed up the analysis of these large ICs.However,these hierarchical tools suffer from a poor interaction with the CAD database and poorly automatized operations.We introduce a general hierarchical framework for performance analysis to solve these problems.The circuit analysis is automatic under the proposed framework.Information that has been automatically abstracted in the hierarchy is kept in database properties along with the topological information.A limited software implementation of the framework,PREDICT,has also been developed to analyze the delay performance.Experimental results show that hierarchical analysis CPU time and memory requirements are low if heuristics are used during the abstraction process.

  12. Automatic Gain Control in Compact Spectrometers.

    Science.gov (United States)

    Protopopov, Vladimir

    2016-03-01

    An image intensifier installed in the optical path of a compact spectrometer may act not only as a fast gating unit, which is widely used for time-resolved measurements, but also as a variable attenuator-amplifier in a continuous wave mode. This opens the possibility of an automatic gain control, a new feature in spectroscopy. With it, the user is relieved from the necessity to manually adjust signal level at a certain value that it is done automatically by means of an electronic feedback loop. It is even more important that automatic gain control is done without changing exposure time, which is an additional benefit in time-resolved experiments. The concept, algorithm, design considerations, and experimental results are presented. PMID:26810181

  13. Automatic Keywords Extraction for Punjabi Language

    Directory of Open Access Journals (Sweden)

    Vishal Gupta

    2011-09-01

    Full Text Available Automatic keywords extraction is the task to identify a small set of words, key phrases, keywords, or key segments from a document that can describe the meaning of the document. Keywords are useful tools as they give the shortest summary of the document. This paper concentrates on Automatic keywords extraction for Punjabi language text. It includes various phases like removing stop words, Identification of Punjabi nouns and noun stemming, Calculation of Term Frequency and Inverse Sentence Frequency (TF-ISF, Punjabi keywords as nouns with high TF-ISF score and title/headline feature for Punjabi text. The extracted keywords are very much helpful in automatic indexing, text summarization, information retrieval, classification, clustering, topic detection and tracking and web searches etc.

  14. Automatic inference of indexing rules for MEDLINE

    Directory of Open Access Journals (Sweden)

    Shooshan Sonya E

    2008-11-01

    Full Text Available Abstract Background: Indexing is a crucial step in any information retrieval system. In MEDLINE, a widely used database of the biomedical literature, the indexing process involves the selection of Medical Subject Headings in order to describe the subject matter of articles. The need for automatic tools to assist MEDLINE indexers in this task is growing with the increasing number of publications being added to MEDLINE. Methods: In this paper, we describe the use and the customization of Inductive Logic Programming (ILP to infer indexing rules that may be used to produce automatic indexing recommendations for MEDLINE indexers. Results: Our results show that this original ILP-based approach outperforms manual rules when they exist. In addition, the use of ILP rules also improves the overall performance of the Medical Text Indexer (MTI, a system producing automatic indexing recommendations for MEDLINE. Conclusion: We expect the sets of ILP rules obtained in this experiment to be integrated into MTI.

  15. Oocytes Polar Body Detection for Automatic Enucleation

    Directory of Open Access Journals (Sweden)

    Di Chen

    2016-02-01

    Full Text Available Enucleation is a crucial step in cloning. In order to achieve automatic blind enucleation, we should detect the polar body of the oocyte automatically. The conventional polar body detection approaches have low success rate or low efficiency. We propose a polar body detection method based on machine learning in this paper. On one hand, the improved Histogram of Oriented Gradient (HOG algorithm is employed to extract features of polar body images, which will increase success rate. On the other hand, a position prediction method is put forward to narrow the search range of polar body, which will improve efficiency. Experiment results show that the success rate is 96% for various types of polar bodies. Furthermore, the method is applied to an enucleation experiment and improves the degree of automatic enucleation.

  16. Gust Front Statistical Characteristics and Automatic Identification Algorithm for CINRAD

    Institute of Scientific and Technical Information of China (English)

    郑佳锋; 张杰; 朱克云; 刘黎平; 刘艳霞

    2014-01-01

    Gust front is a kind of meso-and micro-scale weather phenomenon that often causes serious ground wind and wind shear. This paper presents an automatic gust front identification algorithm. Totally 879 radar volume-scan samples selected from 21 gust front weather processes that occurred in China between 2009 and 2012 are examined and analyzed. Gust front echo statistical features in reflectivity, velocity, and spectrum width fields are obtained. Based on these features, an algorithm is designed to recognize gust fronts and generate output products and quantitative indices. Then, 315 samples are used to verify the algorithm and 3 typical cases are analyzed. Major conclusions include: 1) for narrow band echoes intensity is between 5 and 30 dBZ, widths are between 2 and 10 km, maximum heights are less than 4 km (89.33%are lower than 3 km), and the lengths are between 50 and 200 km. The narrow-band echo is higher than its surrounding echo. 2) Gust fronts present a convergence line or a wind shear in the velocity field;the frontal wind speed gradually decreases when the distance increases radially outward. Spectral widths of gust fronts are large, with 87.09% exceeding 4 m s-1 . 3) Using 315 gust front volume-scan samples to test the algorithm reveals that the algorithm is highly stable and has successfully recognized 277 samples. The algorithm also works for small-scale or weak gust fronts. 4) Radar data quality has certain impact on the algorithm.

  17. Semi-automatic knee cartilage segmentation

    Science.gov (United States)

    Dam, Erik B.; Folkesson, Jenny; Pettersen, Paola C.; Christiansen, Claus

    2006-03-01

    Osteo-Arthritis (OA) is a very common age-related cause of pain and reduced range of motion. A central effect of OA is wear-down of the articular cartilage that otherwise ensures smooth joint motion. Quantification of the cartilage breakdown is central in monitoring disease progression and therefore cartilage segmentation is required. Recent advances allow automatic cartilage segmentation with high accuracy in most cases. However, the automatic methods still fail in some problematic cases. For clinical studies, even if a few failing cases will be averaged out in the overall results, this reduces the mean accuracy and precision and thereby necessitates larger/longer studies. Since the severe OA cases are often most problematic for the automatic methods, there is even a risk that the quantification will introduce a bias in the results. Therefore, interactive inspection and correction of these problematic cases is desirable. For diagnosis on individuals, this is even more crucial since the diagnosis will otherwise simply fail. We introduce and evaluate a semi-automatic cartilage segmentation method combining an automatic pre-segmentation with an interactive step that allows inspection and correction. The automatic step consists of voxel classification based on supervised learning. The interactive step combines a watershed transformation of the original scan with the posterior probability map from the classification step at sub-voxel precision. We evaluate the method for the task of segmenting the tibial cartilage sheet from low-field magnetic resonance imaging (MRI) of knees. The evaluation shows that the combined method allows accurate and highly reproducible correction of the segmentation of even the worst cases in approximately ten minutes of interaction.

  18. Automatic recognition of light source from color negative films using sorting classification techniques

    Science.gov (United States)

    Sanger, Demas S.; Haneishi, Hideaki; Miyake, Yoichi

    1995-08-01

    This paper proposed a simple and automatic method for recognizing the light sources from various color negative film brands by means of digital image processing. First, we stretched the image obtained from a negative based on the standardized scaling factors, then extracted the dominant color component among red, green, and blue components of the stretched image. The dominant color component became the discriminator for the recognition. The experimental results verified that any one of the three techniques could recognize the light source from negatives of any film brands and all brands greater than 93.2 and 96.6% correct recognitions, respectively. This method is significant for the automation of color quality control in color reproduction from color negative film in mass processing and printing machine.

  19. 76 FR 59247 - Environmental Impact Considerations, Food Additives, and Generally Recognized As Safe Substances...

    Science.gov (United States)

    2011-09-26

    ... Environmental Impact Considerations, Food Additives, and Generally Recognized As Safe Substances; Technical... considerations, food additives, and generally recognized as safe (GRAS) substances to correct minor errors in the... affecting certain regulations regarding environmental impact considerations (part 25), food additives...

  20. Automatic Prompt System in the Process of Mapping plWordNet on Princeton WordNet

    Directory of Open Access Journals (Sweden)

    Paweł Kędzia

    2015-06-01

    Full Text Available Automatic Prompt System in the Process of Mapping plWordNet on Princeton WordNetThe paper offers a critical evaluation of the power and usefulness of an automatic prompt system based on the extended Relaxation Labelling algorithm in the process of (manual mapping plWordNet on Princeton WordNet. To this end the results of manual mapping – that is inter-lingual relations between plWN and PWN synsets – are juxtaposed with the automatic prompts that were generated for the source language synsets to be mapped. We check the number and type of inter-lingual relations introduced on the basis of automatic prompts and the distance of the respective prompt synsets from the actual target language synsets.