WorldWideScience

Sample records for intelligent inspection process

  1. Feature-based tolerancing for intelligent inspection process definition

    Energy Technology Data Exchange (ETDEWEB)

    Brown, C.W.

    1993-07-01

    This paper describes a feature-based tolerancing capability that complements a geometric solid model with an explicit representation of conventional and geometric tolerances. This capability is focused on supporting an intelligent inspection process definition system. The feature-based tolerance model`s benefits include advancing complete product definition initiatives (e.g., STEP -- Standard for Exchange of Product model dam), suppling computer-integrated manufacturing applications (e.g., generative process planning and automated part programming) with product definition information, and assisting in the solution of measurement performance issues. A feature-based tolerance information model was developed based upon the notion of a feature`s toleranceable aspects and describes an object-oriented scheme for representing and relating tolerance features, tolerances, and datum reference frames. For easy incorporation, the tolerance feature entities are interconnected with STEP solid model entities. This schema will explicitly represent the tolerance specification for mechanical products, support advanced dimensional measurement applications, and assist in tolerance-related methods divergence issues.

  2. Artificial Intelligence Assists Ultrasonic Inspection

    Science.gov (United States)

    Schaefer, Lloyd A.; Willenberg, James D.

    1992-01-01

    Subtle indications of flaws extracted from ultrasonic waveforms. Ultrasonic-inspection system uses artificial intelligence to help in identification of hidden flaws in electron-beam-welded castings. System involves application of flaw-classification logic to analysis of ultrasonic waveforms.

  3. Artificial Intelligence Assists Ultrasonic Inspection

    Science.gov (United States)

    Schaefer, Lloyd A.; Willenberg, James D.

    1992-01-01

    Subtle indications of flaws extracted from ultrasonic waveforms. Ultrasonic-inspection system uses artificial intelligence to help in identification of hidden flaws in electron-beam-welded castings. System involves application of flaw-classification logic to analysis of ultrasonic waveforms.

  4. Intelligent Camera for Surface Defect Inspection

    Institute of Scientific and Technical Information of China (English)

    CHENG Wan-sheng; ZHAO Jie; WANG Ke-cheng

    2007-01-01

    An intelligent camera for surface defect inspection is presented which can pre-process the surface image of a rolled strip and pick defective areas out at a spead of 1600 meters per minute. The camera is made up of a high speed line CCD, a 60Mb/s CCD digitizer with correlated double sampling function, and a field programmable gate array(FPGA), which can quickly distinguish defective areas using a perceptron embedded in FPGA thus the data to be further processed would dramatically be reduced. Some experiments show that the camera can meet high producing speed, and reduce cost and complexity of automation surface inspection systems.

  5. The level and nature of autistic intelligence III: Inspection time.

    Science.gov (United States)

    Barbeau, Elise B; Soulières, Isabelle; Dawson, Michelle; Zeffiro, Thomas A; Mottron, Laurent

    2013-02-01

    Across the autism spectrum, level of intelligence is highly dependent on the psychometric instrument used for assessment, and there are conflicting views concerning which measures best estimate autistic cognitive abilities. Inspection time is a processing speed measure associated with general intelligence in typical individuals. We therefore investigated autism spectrum performance on inspection time in relation to two different general intelligence tests. Autism spectrum individuals were divided into autistic and Asperger subgroups according to speech development history. Compared to a typical control group, mean inspection time for the autistic subgroup but not the Asperger subgroup was significantly shorter (by 31%). However, the shorter mean autistic inspection time was evident only when groups were matched on Wechsler IQ and disappeared when they were matched using Raven's Progressive Matrices. When autism spectrum abilities are compared to typical abilities, results may be influenced by speech development history as well as by the instrument used for intelligence matching.

  6. Using artificial intelligence strategies for process-related automated inspection in the production environment

    Science.gov (United States)

    Anding, K.; Kuritcyn, P.; Garten, D.

    2016-11-01

    In this paper a new method for the automatic visual inspection of metallic surfaces is proposed by using Convolutional Neural Networks (CNN). The different combinations of network parameters were developed and tested. The obtained results of CNN were analysed and compared with the results of our previous investigations with color and texture features as input parameters for a Support Vector Machine. Advantages and disadvantages of the different classifying methods are explained.

  7. Generative inspection process planner for integrated production

    Energy Technology Data Exchange (ETDEWEB)

    Brown, C.W. (Allied-Signal Aerospace Co., Kansas City, MO (USA). Kansas City Div.); Gyorog, D.A. (Kansas Univ., Lawrence, KS (USA). Dept. of Mechanical Engineering)

    1990-04-01

    This work describes the design prototype development of a generative process planning system for dimensional inspection. The system, IPPEX (Inspection Process Planning EXpert), is a rule-based expert system for integrated production. Using as advanced product modeler, relational databases, and artificial intelligence techniques, IPPEX generates the process plan and part program for the dimensional inspection of products using CMMs. Through an application interface, the IPPEX system software accesses product definition from the product modeler. The modeler is a solid geometric modeler coupled with a dimension and tolerance modeler. Resource data regarding the machines, probes, and fixtures are queried from databases. IPPEX represents inspection process knowledge as production rules and incorporates an embedded inference engine to perform decision making. The IPPEX system, its functional architecture, system architecture, system approach, product modeling environment, inspection features, inspection knowledge, hierarchical planning strategy, user interface formats, and other fundamental issues related to inspection planning and part programming for CMMs are described. 27 refs., 16 figs., 4 tabs.

  8. Research on UAV Intelligent Obstacle Avoidance Technology During Inspection of Transmission Line

    Science.gov (United States)

    Wei, Chuanhu; Zhang, Fei; Yin, Chaoyuan; Liu, Yue; Liu, Liang; Li, Zongyu; Wang, Wanguo

    Autonomous obstacle avoidance of unmanned aerial vehicle (hereinafter referred to as UAV) in electric power line inspection process has important significance for operation safety and economy for UAV intelligent inspection system of transmission line as main content of UAV intelligent inspection system on transmission line. In the paper, principles of UAV inspection obstacle avoidance technology of transmission line are introduced. UAV inspection obstacle avoidance technology based on particle swarm global optimization algorithm is proposed after common obstacle avoidance technologies are studied. Stimulation comparison is implemented with traditional UAV inspection obstacle avoidance technology which adopts artificial potential field method. Results show that UAV inspection strategy of particle swarm optimization algorithm, adopted in the paper, is prominently better than UAV inspection strategy of artificial potential field method in the aspects of obstacle avoidance effect and the ability of returning to preset inspection track after passing through the obstacle. An effective method is provided for UAV inspection obstacle avoidance of transmission line.

  9. MIXI: Mobile Intelligent X-Ray Inspection System

    Science.gov (United States)

    Arodzero, Anatoli; Boucher, Salime; Kutsaev, Sergey V.; Ziskin, Vitaliy

    2017-07-01

    A novel, low-dose Mobile Intelligent X-ray Inspection (MIXI) concept is being developed at RadiaBeam Technologies. The MIXI concept relies on a linac-based, adaptive, ramped energy source of short X-ray packets of pulses, a new type of fast X-ray detector, rapid processing of detector signals for intelligent control of the linac, and advanced radiography image processing. The key parameters for this system include: better than 3 mm line pair resolution; penetration greater than 320 mm of steel equivalent; scan speed with 100% image sampling rate of up to 15 km/h; and material discrimination over a range of thicknesses up to 200 mm of steel equivalent. Its minimal radiation dose, size and weight allow MIXI to be placed on a lightweight truck chassis.

  10. Overview of the software inspection process

    Energy Technology Data Exchange (ETDEWEB)

    Lane, G.L.; Dabbs, R. [Sandia National Labs., Albuquerque, NM (United States)

    1997-11-01

    This tutorial introduces attendees to the Inspection Process and teaches them how to organize and participate in a software inspection. The tutorial advocates the benefits of inspections and encourages attendees to socialize the inspection process in their organizations.

  11. Optimizing Classification in Intelligence Processing

    Science.gov (United States)

    2010-12-01

    ACC Classification Accuracy AUC Area Under the ROC Curve CI Competitive Intelligence COMINT Communications Intelligence DoD Department of...indispensible tool to support a national leader’s decision making process, competitive intelligence (CI) has emerged in recent decades as an environment meant...effectiveness for the intelligence product in competitive intelligence environment: accuracy, objectivity, usability, relevance, readiness, and timeliness

  12. National Automated Conformity Inspection Process -

    Data.gov (United States)

    Department of Transportation — The National Automated Conformity Inspection Process (NACIP) Application is intended to expedite the workflow process as it pertains to the FAA Form 81 0-10 Request...

  13. Clinical Process Intelligence

    DEFF Research Database (Denmark)

    Vilstrup Pedersen, Klaus

    2006-01-01

    .e. local guidelines. From a knowledge management point of view, this externalization of generalized processes, gives the opportunity to learn from, evaluate and optimize the processes. "Clinical Process Intelligence" (CPI), will denote the goal of getting generalized insight into patient centered health...

  14. An intelligent inspection and survey robot

    Energy Technology Data Exchange (ETDEWEB)

    Byrd, J.S. [Univ. of South Carolina, Columbia, SC (United States)

    1995-10-01

    Large quantities of mixed and low-level radioactive waste contained in 55-, 85-, and 110-gallon steel drums are stored at Department of Energy (DOE) warehouses located throughout the United States. The steel drums are placed on pallets and stacked on top of one another, forming a column of drums ranging in heights of one to four drums and up to 16 feet high. The columns of drums are aligned in rows forming an aisle approximately three feet wide between the rows of drums. Tens of thousands of drums are stored in these warehouses throughout the DOE complex. ARIES (Autonomous Robotic Inspection Experimental System) is under development for the DOE to survey and inspect these drums. The robot will navigate through the aisles and perform an inspection operation, typically performed by a human operator, making decisions about the condition of the drums and maintaining a data of pertinent information about each drum.

  15. Bionic Vision-Based Intelligent Power Line Inspection System.

    Science.gov (United States)

    Li, Qingwu; Ma, Yunpeng; He, Feijia; Xi, Shuya; Xu, Jinxin

    2017-01-01

    Detecting the threats of the external obstacles to the power lines can ensure the stability of the power system. Inspired by the attention mechanism and binocular vision of human visual system, an intelligent power line inspection system is presented in this paper. Human visual attention mechanism in this intelligent inspection system is used to detect and track power lines in image sequences according to the shape information of power lines, and the binocular visual model is used to calculate the 3D coordinate information of obstacles and power lines. In order to improve the real time and accuracy of the system, we propose a new matching strategy based on the traditional SURF algorithm. The experimental results show that the system is able to accurately locate the position of the obstacles around power lines automatically, and the designed power line inspection system is effective in complex backgrounds, and there are no missing detection instances under different conditions.

  16. Intelligence, Inspection Time, and Decision Time.

    Science.gov (United States)

    Bates, Timothy C.; Eysenck, Hans J.

    1993-01-01

    Relationships among Multidimensional Aptitude Battery scores, inspection time, choice reaction time, and the odd-man procedure were investigated for 63 female and 25 male adults. No significant relationships were found for these mental speed measures and the Eysenck Personality Questionnaire-Revised dimensions of extraversion, neuroticism, and…

  17. Clinical Process Intelligence

    DEFF Research Database (Denmark)

    Vilstrup Pedersen, Klaus

    2006-01-01

    .e. local guidelines. From a knowledge management point of view, this externalization of generalized processes, gives the opportunity to learn from, evaluate and optimize the processes. "Clinical Process Intelligence" (CPI), will denote the goal of getting generalized insight into patient centered health......, generalized processes de-ducted from many patient cases and clinical guidelines, are all guidelines that may be used in clinical reasoning. The differ-ence is the validity of the suggested actions and decisions. In the case of generalized processes deducted from EMRs, we have "what we usually do" practice i...... care processes by means of statistical, OLAP and data mining tech-niques, with the aim of refining clinical guidelines, develop local guidelines and facilitate outcome predictions....

  18. Vision-based precision inspection system for profile and performance of small and micro gears using the intelligent image processing techniques and virtual master gears

    Science.gov (United States)

    Pahk, Heui Jae; Hwang, Young Min; Lee, Il Hwan; Ahn, Woo Jung

    2000-10-01

    As the product size become smaller, much smaller sized parts are increasingly required in many products fabrication such as cameras, camcorders, and electric appliances, etc. Small or micro gears whose sizes are about few hundred micrometers to few millimeters have been greatly required for the above products, as they become most efficient parts for power transmission. The small of micro gears are prone to geometrical and functioning inaccuracy during the micro fabrication processes, and thus the measurement system has been desired for the geometry and performance checking of gears. In this paper, a precision inspection system is developed for the gear checking, consisting of the optical vision microscope, vision image processing modules with subpixel accuracy, and the profile inspection software using the virtual master jigs/gears mathematically generated. For accurate analysis of the gear geometry from the captured gear image through the optical vision system, a highly accurate vision image processing algorithm has been implemented, where two dimensional subpixelling technique is developed having about one tenth subpixel accuracy. A mathematically generated mater gears/jigs are implemented: several core parameters of the gear profile are calculated from the comparison between the virtual master and the measured gears. Virtual precision ball jigs are simulated between gear teeth profile, and thus the runout parameter can be successfully evaluated from the virtual jig movement on the gear teeth image. The eccentricity parameters can also be calculated from the sinusoidal fitting of the virtual ball movement. The development precision inspection system for small or micro gears has been applied to practical gears of various range, and the essential gear parameters are successfully measured with sub micrometer accuracy.

  19. Artificial intelligence in the materials processing laboratory

    Science.gov (United States)

    Workman, Gary L.; Kaukler, William F.

    1990-01-01

    Materials science and engineering provides a vast arena for applications of artificial intelligence. Advanced materials research is an area in which challenging requirements confront the researcher, from the drawing board through production and into service. Advanced techniques results in the development of new materials for specialized applications. Hand-in-hand with these new materials are also requirements for state-of-the-art inspection methods to determine the integrity or fitness for service of structures fabricated from these materials. Two problems of current interest to the Materials Processing Laboratory at UAH are an expert system to assist in eddy current inspection of graphite epoxy components for aerospace and an expert system to assist in the design of superalloys for high temperature applications. Each project requires a different approach to reach the defined goals. Results to date are described for the eddy current analysis, but only the original concepts and approaches considered are given for the expert system to design superalloys.

  20. Computational Intelligence in Image Processing

    CERN Document Server

    Siarry, Patrick

    2013-01-01

    Computational intelligence based techniques have firmly established themselves as viable, alternate, mathematical tools for more than a decade. They have been extensively employed in many systems and application domains, among these signal processing, automatic control, industrial and consumer electronics, robotics, finance, manufacturing systems, electric power systems, and power electronics. Image processing is also an extremely potent area which has attracted the atten­tion of many researchers who are interested in the development of new computational intelligence-based techniques and their suitable applications, in both research prob­lems and in real-world problems. Part I of the book discusses several image preprocessing algorithms; Part II broadly covers image compression algorithms; Part III demonstrates how computational intelligence-based techniques can be effectively utilized for image analysis purposes; and Part IV shows how pattern recognition, classification and clustering-based techniques can ...

  1. Robotic inspection technology-process an toolbox

    Energy Technology Data Exchange (ETDEWEB)

    Hermes, Markus [ROSEN Group (United States). R and D Dept.

    2005-07-01

    Pipeline deterioration grows progressively with ultimate aging of pipeline systems (on-plot and cross country). This includes both, very localized corrosion as well as increasing failure probability due to fatigue cracking. Limiting regular inspecting activities to the 'scrapable' part of the pipelines only, will ultimately result into a pipeline system with questionable integrity. The confidence level in the integrity of these systems will drop below acceptance levels. Inspection of presently un-inspectable sections of the pipeline system becomes a must. This paper provides information on ROSEN's progress on the 'robotic inspection technology' project. The robotic inspection concept developed by ROSEN is based on a modular toolbox principle. This is mandatory. A universal 'all purpose' robot would not be reliable and efficient in resolving the postulated inspection task. A preparatory Quality Function Deployment (QFD) analysis is performed prior to the decision about the adequate robotic solution. This enhances the serviceability and efficiency of the provided technology. The word 'robotic' can be understood in its full meaning of Recognition - Strategy - Motion - Control. Cooperation of different individual systems with an established communication, e.g. utilizing Bluetooth technology, support the robustness of the ROSEN robotic inspection approach. Beside the navigation strategy, the inspection strategy is also part of the QFD process. Multiple inspection technologies combined on a single carrier or distributed across interacting container must be selected with a clear vision of the particular goal. (author)

  2. Business Intelligence in Process Control

    Science.gov (United States)

    Kopčeková, Alena; Kopček, Michal; Tanuška, Pavol

    2013-12-01

    The Business Intelligence technology, which represents a strong tool not only for decision making support, but also has a big potential in other fields of application, is discussed in this paper. Necessary fundamental definitions are offered and explained to better understand the basic principles and the role of this technology for company management. Article is logically divided into five main parts. In the first part, there is the definition of the technology and the list of main advantages. In the second part, an overview of the system architecture with the brief description of separate building blocks is presented. Also, the hierarchical nature of the system architecture is shown. The technology life cycle consisting of four steps, which are mutually interconnected into a ring, is described in the third part. In the fourth part, analytical methods incorporated in the online analytical processing and data mining used within the business intelligence as well as the related data mining methodologies are summarised. Also, some typical applications of the above-mentioned particular methods are introduced. In the final part, a proposal of the knowledge discovery system for hierarchical process control is outlined. The focus of this paper is to provide a comprehensive view and to familiarize the reader with the Business Intelligence technology and its utilisation.

  3. Machine intelligence and signal processing

    CERN Document Server

    Vatsa, Mayank; Majumdar, Angshul; Kumar, Ajay

    2016-01-01

    This book comprises chapters on key problems in machine learning and signal processing arenas. The contents of the book are a result of a 2014 Workshop on Machine Intelligence and Signal Processing held at the Indraprastha Institute of Information Technology. Traditionally, signal processing and machine learning were considered to be separate areas of research. However in recent times the two communities are getting closer. In a very abstract fashion, signal processing is the study of operator design. The contributions of signal processing had been to device operators for restoration, compression, etc. Applied Mathematicians were more interested in operator analysis. Nowadays signal processing research is gravitating towards operator learning – instead of designing operators based on heuristics (for example wavelets), the trend is to learn these operators (for example dictionary learning). And thus, the gap between signal processing and machine learning is fast converging. The 2014 Workshop on Machine Intel...

  4. An Intelligence Process Model Based on a Collaborative Approach

    Science.gov (United States)

    2011-06-01

    including Open Source ( OSINT ), in the production of intelligence. All-source intelligence is both a separate intelligence discipline and the name of the...and signature intelligence (MASINT), Technical intelligence (TECHINT), Open source intelligence ( OSINT ), and Biometric intelligence (BIOINT)) to...characterizing the processes for each discipline (HUMINT, SIGINT, OSINT , IMINT, GEOINT, etc.). Then, we analyzed the All-Source activities and processes

  5. Instrumenting the Intelligence Analysis Process

    Energy Technology Data Exchange (ETDEWEB)

    Hampson, Ernest; Cowley, Paula J.

    2005-05-02

    The Advanced Research and Development Activity initiated the Novel Intelligence from Massive Data (NIMD) program to develop advanced analytic technologies and methodologies. In order to support this objective, researchers and developers need to understand what analysts do and how they do it. In the past, this knowledge generally was acquired through subjective feedback from analysts. NIMD established the innovative Glass Box Analysis (GBA) Project to instrument a live intelligence mission and unobtrusively capture and objectively study the analysis process. Instrumenting the analysis process requires tailor-made software hooks that grab data from a myriad of disparate application operations and feed into a complex relational database and hierarchical file store to collect, store, retrieve, and distribute analytic data in a manner that maximizes researchers’ understanding. A key to success is determining the correct data to collect and aggregate low-level data into meaningful analytic events. This paper will examine how the GBA team solved some of these challenges, continues to address others, and supports a growing user community in establishing their own GBA environments and/or studying the data generated by GBA analysts working in the Glass Box.

  6. Improvement of catheter quality inspection process

    Directory of Open Access Journals (Sweden)

    Bożek Mariusz

    2017-01-01

    Full Text Available Quality inspection is very often one of the most important stages of the production process, although it does not create any added value. Therefore, optimization of the related number of activities is of crucial importance. However, reduction should not be made arbitrarily, but preceded and documented by appropriate research. The article describes a study aimed at reducing the high cost of quality inspection as part of the manufacturing process of a diagnostic catheter at a medical company. The product is used for blood pressure monitoring and blood sampling by the Seldinger technique. A critical quality feature for the catheter is air/water tightness. Following a thorough analysis, some control points were eliminated, and others were improved. The resulting conclusion is that detection of defective components is the most beneficial for this specific production process if carried out during the 100 percent final quality inspection. The finding is based on the fact that the cost of producing the final device with a defective component is lower than a quality inspection run directly after each operation. The authors also managed to decrease the sample size for control charts used to supervise the adhesive connection strength.

  7. Mobile Imaging and Computing for Intelligent Structural Damage Inspection

    Directory of Open Access Journals (Sweden)

    ZhiQiang Chen

    2014-01-01

    Full Text Available Optical imaging is a commonly used technique in civil engineering for aiding the archival of damage scenes and more recently for image analysis-based damage quantification. However, the limitations are evident when applying optical imaging in the field. The most significant one is the lacking of computing and processing capability in the real time. The advancement of mobile imaging and computing technologies provides a promising opportunity to change this norm. This paper first provides a timely introduction of the state-of-the-art mobile imaging and computing technologies for the purpose of engineering application development. Further we propose a mobile imaging and computing (MIC framework for conducting intelligent condition assessment for constructed objects, which features in situ imaging and real-time damage analysis. This framework synthesizes advanced mobile technologies with three innovative features: (i context-enabled image collection, (ii interactive image preprocessing, and (iii real-time image analysis and analytics. Through performance evaluation and field experiments, this paper demonstrates the feasibility and efficiency of the proposed framework.

  8. An intelligent inspection and survey robot. Volume 1

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-12-15

    ARIES {number_sign}1 (Autonomous Robotic Inspection Experimental System), has been developed for the Department of Energy to survey and inspect drums containing low-level radioactive waste stored in warehouses at DOE facilities. The drums are typically stacked four high and arranged in rows with three-foot aisle widths. The robot will navigate through the aisles and perform an inspection operation, typically performed by a human operator, making decisions about the condition of the drums and maintaining a database of pertinent information about each drum. A new version of the Cybermotion series of mobile robots is the base mobile vehicle for ARIES. The new Model K3A consists of an improved and enhanced mobile platform and a new turret that will permit turning around in a three-foot aisle. Advanced sonar and lidar systems were added to improve navigation in the narrow drum aisles. Onboard computer enhancements include a VMEbus computer system running the VxWorks real-time operating system. A graphical offboard supervisory UNIX workstation is used for high-level planning, control, monitoring, and reporting. A camera positioning system (CPS) includes primitive instructions for the robot to use in referencing and positioning the payload. The CPS retracts to a more compact position when traveling in the open warehouse. During inspection, the CPS extends up to deploy inspection packages at different heights on the four-drum stacks of 55-, 85-, and 110-gallon drums. The vision inspection module performs a visual inspection of the waste drums. This system will locate and identify each drum, locate any unique visual features, characterize relevant surface features of interest and update a data-base containing the inspection data.

  9. Enhancement of submarine pressure hull steel ultrasonic inspection using imaging and artificial intelligence

    Science.gov (United States)

    Hay, D. Robert; Brassard, Michel; Matthews, James R.; Garneau, Stephane; Morchat, Richard

    1995-06-01

    The convergence of a number of contemporary technologies with increasing demands for improvements in inspection capabilities in maritime applications has created new opportunities for ultrasonic inspection. An automated ultrasonic inspection and data collection system APHIUS (automated pressure hull intelligent ultrasonic system), incorporates hardware and software developments to meet specific requirements for the maritime vessels, in particular, submarines in the Canadian Navy. Housed within a hardened portable computer chassis, instrumentation for digital ultrasonic data acquisition and transducer position measurement provide new capabilities that meet more demanding requirements for inspection of the aging submarine fleet. Digital data acquisition enables a number of new important capabilites including archiving of the complete inspection session, interpretation assistance through imaging, and automated interpretation using artificial intelligence methods. With this new reliable inspection system, in conjunction with a complementary study of the significance of real defect type and location, comprehensive new criteria can be generated which will eliminate unnecessary defect removal. As a consequence, cost savings will be realized through shortened submarine refit schedules.

  10. Intelligence amplification framework for enhancing scheduling processes

    NARCIS (Netherlands)

    Dobrkovic, Andrej; Liu, Luyao; Iacob, Maria-Eugenia; Hillegersberg, van Jos

    2016-01-01

    The scheduling process in a typical business environment consists of predominantly repetitive tasks that have to be completed in limited time and often containing some form of uncertainty. The intelligence amplification is a symbiotic relationship between a human and an intelligent agent. This partn

  11. Intelligence amplification framework for enhancing scheduling processes

    NARCIS (Netherlands)

    Dobrkovic, Andrej; Liu, Luyao; Iacob, Maria Eugenia; van Hillegersberg, Jos

    2016-01-01

    The scheduling process in a typical business environment consists of predominantly repetitive tasks that have to be completed in limited time and often containing some form of uncertainty. The intelligence amplification is a symbiotic relationship between a human and an intelligent agent. This

  12. The Predictive Aspect of Business Process Intelligence

    DEFF Research Database (Denmark)

    Pérez, Moisés Lima; Møller, Charles

    2007-01-01

    This paper presents the arguments for a research proposal on predicting business events in a Business Process Intelligence (BPI) context. The paper argues that BPI holds a potential for leveraging enterprise benefits by supporting real-time processes. However, based on the experiences from past...... business intelligence projects the paper argues that it is necessary to establish a new methodology to mine and extract the intelligence on the business level which is different from that, which will improve a business process in an enterprise. In conclusion the paper proposes a new research project aimed...

  13. An intelligent inspection and survey robot. Volume 2

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-12-15

    Radioactive materials make up a significant part of the hazardous-material inventory of the Department of Energy. Much of the radioactive material will be inspected or handled by robotic systems that contain electronic circuits that may be damaged by gamma radiation and other particles emitted from radioactive material. This report examines several scenarios, the damage that may be inflicted, and methods that may be used to protect radiation-hardened robot control systems. Commercial sources of components and microcomputers that can withstand high radiation exposure are identified.

  14. Cooperative Behaviours with Swarm Intelligence in Multirobot Systems for Safety Inspections in Underground Terrains

    Directory of Open Access Journals (Sweden)

    Chika Yinka-Banjo

    2014-01-01

    Full Text Available Underground mining operations are carried out in hazardous environments. To prevent disasters from occurring, as often as they do in underground mines, and to prevent safety routine checkers from disasters during safety inspection checks, multirobots are suggested to do the job of safety inspection rather than human beings and single robots. Multirobots are preferred because the inspection task will be done in the minimum amount of time. This paper proposes a cooperative behaviour for a multirobot system (MRS to achieve a preentry safety inspection in underground terrains. A hybrid QLACS swarm intelligent model based on Q-Learning (QL and the Ant Colony System (ACS was proposed to achieve this cooperative behaviour in MRS. The intelligent model was developed by harnessing the strengths of both QL and ACS algorithms. The ACS optimizes the routes used for each robot while the QL algorithm enhances the cooperation between the autonomous robots. A description of a communicating variation within the QLACS model for cooperative behavioural purposes is presented. The performance of the algorithms in terms of without communication, with communication, computation time, path costs, and the number of robots used was evaluated by using a simulation approach. Simulation results show achieved cooperative behaviour between robots.

  15. Towards a universal competitive intelligence process model

    Directory of Open Access Journals (Sweden)

    Rene Pellissier

    2013-07-01

    Full Text Available Background: Competitive intelligence (CI provides actionable intelligence, which provides a competitive edge in enterprises. However, without proper process, it is difficult to develop actionable intelligence. There are disagreements about how the CI process should be structured. For CI professionals to focus on producing actionable intelligence, and to do so with simplicity, they need a common CI process model.Objectives: The purpose of this research is to review the current literature on CI, to look at the aims of identifying and analysing CI process models, and finally to propose a universal CI process model.Method: The study was qualitative in nature and content analysis was conducted on all identified sources establishing and analysing CI process models. To identify relevant literature, academic databases and search engines were used. Moreover, a review of references in related studies led to more relevant sources, the references of which were further reviewed and analysed. To ensure reliability, only peer-reviewed articles were used.Results: The findings reveal that the majority of scholars view the CI process as a cycle of interrelated phases. The output of one phase is the input of the next phase.Conclusion: The CI process is a cycle of interrelated phases. The output of one phase is the input of the next phase. These phases are influenced by the following factors: decision makers, process and structure, organisational awareness and culture, and feedback.

  16. Towards a universal competitive intelligence process model

    Directory of Open Access Journals (Sweden)

    Rene Pellissier

    2013-08-01

    Full Text Available Background: Competitive intelligence (CI provides actionable intelligence, which provides a competitive edge in enterprises. However, without proper process, it is difficult to develop actionable intelligence. There are disagreements about how the CI process should be structured. For CI professionals to focus on producing actionable intelligence, and to do so with simplicity, they need a common CI process model.Objectives: The purpose of this research is to review the current literature on CI, to look at the aims of identifying and analysing CI process models, and finally to propose a universal CI process model.Method: The study was qualitative in nature and content analysis was conducted on all identified sources establishing and analysing CI process models. To identify relevant literature, academic databases and search engines were used. Moreover, a review of references in related studies led to more relevant sources, the references of which were further reviewed and analysed. To ensure reliability, only peer-reviewed articles were used.Results: The findings reveal that the majority of scholars view the CI process as a cycle of interrelated phases. The output of one phase is the input of the next phase.Conclusion: The CI process is a cycle of interrelated phases. The output of one phase is the input of the next phase. These phases are influenced by the following factors: decision makers, process and structure, organisational awareness and culture, and feedback.

  17. Parallel processing for artificial intelligence 1

    CERN Document Server

    Kanal, LN; Kumar, V; Suttner, CB

    1994-01-01

    Parallel processing for AI problems is of great current interest because of its potential for alleviating the computational demands of AI procedures. The articles in this book consider parallel processing for problems in several areas of artificial intelligence: image processing, knowledge representation in semantic networks, production rules, mechanization of logic, constraint satisfaction, parsing of natural language, data filtering and data mining. The publication is divided into six sections. The first addresses parallel computing for processing and understanding images. The second discus

  18. An Improved, Efficient and Cost Effective Software Inspection Meeting Process

    Directory of Open Access Journals (Sweden)

    Dilawar Ali

    2013-02-01

    Full Text Available Normally, the inspection process is seemed to be just finding defects in software during software development process lifecycle. Software inspection is considered as a most cost effective technique, but if these defects are not properly corrected or handled it would cost you more than double later in the project. This paper focus on the last phase of inspection meeting process showing the importance of Follow-Up Stage in software inspection meeting process. This paper also suggests a set of activities that should be performed during the Rework and Follow-Up Stages so to get inspection meeting results productive and efficient. In this paper we focus on the over the shoulder reviews so to ensure the software quality having less impact on the total software cost.

  19. Application of artificial intelligence in process control

    CERN Document Server

    Krijgsman, A

    1993-01-01

    This book is the result of a united effort of six European universities to create an overall course on the appplication of artificial intelligence (AI) in process control. The book includes an introduction to key areas including; knowledge representation, expert, logic, fuzzy logic, neural network, and object oriented-based approaches in AI. Part two covers the application to control engineering, part three: Real-Time Issues, part four: CAD Systems and Expert Systems, part five: Intelligent Control and part six: Supervisory Control, Monitoring and Optimization.

  20. Test and inspection for process control of monolithic circuits

    Science.gov (United States)

    Spangenberg, E.

    1967-01-01

    Report details the test and inspection procedures for the mass production of high reliability integrated circuits. It covers configuration control, basic fundamentals of quality control, control charts, wafer process evaluation, general process evaluation, evaluation score system, and diffusion evaluation.

  1. Trust in Numbers? Digital Education Governance and the Inspection Process

    Science.gov (United States)

    Ozga, Jenny

    2016-01-01

    The aim of the paper is to contribute to the critical study of digital data use in education, through examination of the processes surrounding school inspection judgements. The interaction between pupil performance data and other (embodied, enacted) sources of inspection judgement is scrutinised and discussed with a focus on the interaction…

  2. Intelligent processing techniques for sensor fusion

    Science.gov (United States)

    Byrd, Katherine A.; Smith, Bart; Allen, Doug; Morris, Norman; Bjork, Charles A., Jr.; Deal-Giblin, Kim; Rushing, John A.

    1998-03-01

    Intelligent processing techniques which can effectively combine sensor data from disparate sensors by selecting and using only the most beneficial individual sensor data is a critical element of exoatmospheric interceptor systems. A major goal of these algorithms is to provide robust discrimination against stressing threats in poor a priori conditions, and to incorporate adaptive approaches in off- nominal conditions. This paper summarizes the intelligent processing algorithms being developed, implemented and tested to intelligently fuse data from passive infrared and active LADAR sensors at the measurement, feature and decision level. These intelligent algorithms employ dynamic selection of individual sensors features and the weighting of multiple classifier decisions to optimize performance in good a priori conditions and robustness in poor a priori conditions. Features can be dynamically selected based on an estimate of the feature confidence which is determined from feature quality and weighting terms derived from the quality of sensor data and expected phenomenology. Multiple classifiers are employed which use both fuzzy logic and knowledge based approaches to fuse the sensor data and to provide a target lethality estimate. Target designation decisions can be made by fusing weighted individual classifier decisions whose output contains an estimate of the confidence of the data and the discrimination decisions. The confidence in the data and decisions can be used in real time to dynamically select different sensor feature data or to request additional sensor data on specific objects that have not been confidently identified as being lethal or non- lethal. The algorithms are implemented in C within a graphic user interface framework. Dynamic memory allocation and the sequentialy implementation of the feature algorithms are employed. The baseline set of fused sensor discrimination algorithms with intelligent processing are described in this paper. Example results

  3. Artificial intelligence applied to process signal analysis

    Science.gov (United States)

    Corsberg, Dan

    1988-01-01

    Many space station processes are highly complex systems subject to sudden, major transients. In any complex process control system, a critical aspect of the human/machine interface is the analysis and display of process information. Human operators can be overwhelmed by large clusters of alarms that inhibit their ability to diagnose and respond to a disturbance. Using artificial intelligence techniques and a knowledge base approach to this problem, the power of the computer can be used to filter and analyze plant sensor data. This will provide operators with a better description of the process state. Once a process state is recognized, automatic action could be initiated and proper system response monitored.

  4. Artificial intelligence applied to process signal analysis

    Science.gov (United States)

    Corsberg, Dan

    1988-01-01

    Many space station processes are highly complex systems subject to sudden, major transients. In any complex process control system, a critical aspect of the human/machine interface is the analysis and display of process information. Human operators can be overwhelmed by large clusters of alarms that inhibit their ability to diagnose and respond to a disturbance. Using artificial intelligence techniques and a knowledge base approach to this problem, the power of the computer can be used to filter and analyze plant sensor data. This will provide operators with a better description of the process state. Once a process state is recognized, automatic action could be initiated and proper system response monitored.

  5. Estimation of Characteristics of a Software Team for Implementing Effective Inspection Process through Inspection Performance Metric

    CERN Document Server

    Nair, T R Gopalakrishnan

    2011-01-01

    The continued existence of any software industry depends on its capability to develop nearly zero-defect product, which is achievable through effective defect management. Inspection has proven to be one of the promising techniques of defect management. Introductions of metrics like, Depth of Inspection (DI, a process metric) and Inspection Performance Metric (IPM, a people metric) enable one to have an appropriate measurement of inspection technique. This article elucidates a mathematical approach to estimate the IPM value without depending on shop floor defect count at every time. By applying multiple linear regression models, a set of characteristic coefficients of the team is evaluated. These coefficients are calculated from the empirical projects that are sampled from the teams of product-based and service-based IT industries. A sample of three verification projects indicates a close match between the IPM values obtained from the defect count (IPMdc) and IPM values obtained using the team coefficients usi...

  6. Intelligent Information Processing in Imaging Fuzes

    Institute of Scientific and Technical Information of China (English)

    王克勇; 郑链; 宋承天

    2003-01-01

    In order to study the problem of intelligent information processing in new types of imaging fuze, the method of extracting the invariance features of target images is adopted, and radial basis function neural network is used to recognize targets. Owing to its ability of parallel processing, its robustness and generalization, the method can realize the recognition of the conditions of missile-target encounters, and meet the requirements of real-time recognition in the imaging fuze. It is shown that based on artificial neural network target recognition and burst point control are feasible.

  7. An Intelligent Tap Test as AN Inspection Tool for Corrosion in Chequer Plate Floors

    Science.gov (United States)

    Williams, S. M.; Smith, J. W.

    2002-11-01

    The "coin-tap" test has the ability to indicate damage in a structural element due to a localized change of stiffness or damping. The change in vibration signature may be detected by ear or more precisely by measurement of the dynamic contact force. A method for discriminating between measurements made on sound and damaged structures is presented. An unsupervised neural network algorithm is used for recognizing the differences between contact force patterns. The method is used for non-destructive inspection of corrosion damage to steel chequer plate floors in industrial buildings. It is shown that the intelligent tap test is a useful and practical diagnostic tool for detecting localized damage in structures.

  8. Process Approach to Determining Quality Inspection Deployment Product Overview

    Science.gov (United States)

    2015-05-07

    Manual Inspection covers10-20% of parts not covered by the machine Example ICT via Flying Probe U.S. SPACE PROGRAM MISSION ASSURANCE IMPROVEMENT...Identified part types and applications where ICT not able to capture all issues ROI • Performed study for purchasing unit vs. outsourcing • Identified...Bold – co-leads SME Team Approved Electronically by: AEROSPACE REPORT NO. TOR-2015-02542 Process Approach to Determining Quality Inspection Deployment

  9. Integrating artificial and human intelligence into tablet production process.

    Science.gov (United States)

    Gams, Matjaž; Horvat, Matej; Ožek, Matej; Luštrek, Mitja; Gradišek, Anton

    2014-12-01

    We developed a new machine learning-based method in order to facilitate the manufacturing processes of pharmaceutical products, such as tablets, in accordance with the Process Analytical Technology (PAT) and Quality by Design (QbD) initiatives. Our approach combines the data, available from prior production runs, with machine learning algorithms that are assisted by a human operator with expert knowledge of the production process. The process parameters encompass those that relate to the attributes of the precursor raw materials and those that relate to the manufacturing process itself. During manufacturing, our method allows production operator to inspect the impacts of various settings of process parameters within their proven acceptable range with the purpose of choosing the most promising values in advance of the actual batch manufacture. The interaction between the human operator and the artificial intelligence system provides improved performance and quality. We successfully implemented the method on data provided by a pharmaceutical company for a particular product, a tablet, under development. We tested the accuracy of the method in comparison with some other machine learning approaches. The method is especially suitable for analyzing manufacturing processes characterized by a limited amount of data.

  10. Parallel processing for artificial intelligence 2

    CERN Document Server

    Kumar, V; Suttner, CB

    1994-01-01

    With the increasing availability of parallel machines and the raising of interest in large scale and real world applications, research on parallel processing for Artificial Intelligence (AI) is gaining greater importance in the computer science environment. Many applications have been implemented and delivered but the field is still considered to be in its infancy. This book assembles diverse aspects of research in the area, providing an overview of the current state of technology. It also aims to promote further growth across the discipline. Contributions have been grouped according to their

  11. Markov decision processes in artificial intelligence

    CERN Document Server

    Sigaud, Olivier

    2013-01-01

    Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as Reinforcement Learning problems. Written by experts in the field, this book provides a global view of current research using MDPs in Artificial Intelligence. It starts with an introductory presentation of the fundamental aspects of MDPs (planning in MDPs, Reinforcement Learning, Partially Observable MDPs, Markov games and the use of non-classical criteria). Then it presents more advanced research trends in the domain and gives some concrete examples using illustr

  12. Intelligent post processing of seismic events

    Directory of Open Access Journals (Sweden)

    F. Ringdal

    1994-06-01

    Full Text Available The Intelligent Monitoring Systern (IMS currently provides for joint processing of data from six arrays located in Northern and Central Europe. From experience with analyst review of events automatically defined by the IMS, we bave realized that the quality of the automatic event locations can be significantly improved if the event intervals are reprocessed with signal processing pararneters tuned to phases from events in the given region. The tuned processing parameters are obtained from off line analysis of events located in the region of interest. The primary goal of such intelligent post processing is to provide event definitions of a quality that minimizes the need for subsequent manual analysis. The first step in this post processing is to subdivide the arca to be monitored in order to identify sites of interest. Clearly, calibration will be the easiest and potential savings in manpower are the largest for areas of high, recurring seismicity. We bave identified 8 mining sites in Fennoscandia/NW Russia and noted that 65.6% of the events of ML > 2.0 in this region can be associated with one of these sites. This result is based on 1 year and a half of data. The second step is to refine the phase arrival and azimuth estimates using frequency filters and processing parameters that are tuned to the initial event location provided by the IMS. In this study, we have analyzed a set of 52 mining explosions from the Khibiny Massif mining area in the Kola peninsula of Russia. Very accurate locations of these events bave been provided by the seismologists from the Kola Regional Seismology Centre. Using an autoregressive likelihood technique we have been able to estimate onset times to an accuracy (standard deviation of about 0.05 s for P phases and 0.15 0.20 s for S phases. Using fixed frequency bands, azimuth can be estimated to an accuracy (one standard deviation of 0.9 degrees for the ARCESS array and 3 4 degrees for the small array recently

  13. The process of implementing Competitive Intelligence in a company

    Directory of Open Access Journals (Sweden)

    František Bartes

    2013-01-01

    Full Text Available It is a common occurrence in business practice that the management of a company, in an effort to jump-start the function of the Competitive Intelligence unit, makes a number of mistakes and errors. Yet it is not difficult to avoid these missteps and achieve the desired level of Competitive Intelligence activities in a purposeful and effective manner. The author believes that a resolution of this problem lies in his concept of Competitive Intelligence viewed as a system application discipline (like value analysis or value engineering, which is why he approaches the problem of actual implementation of Competitive Intelligence in a company by referring to standards ČSN EN 12 973 and ČSN EN 1325-2. The author then proposes his own procedure for implementing Competitive Intelligence in a company. He first describes the various ways of securing the Competitive Intelligence services. Depending on the manner of securing these services, it is necessary to choose the actual method of bringing Competitive Intelligence into the company. The author goes on to lists the essentials that every program of Competitive Intelligence implementation should have. The process of Competitive Intelligence implementation unfolds in three stages, those being: 1. Managerial preparation for the introduction of Competitive Intelligence. 2. Personnel-oriented and professional preparation for applying Competitive Intelligence. 3. Organizational preparation for the implementation and practice of Competitive Intelligence. In Discussion, the author points out the most common mistakes he encountered in practice when implementing the Competitive Intelligence function.

  14. Image Processing in Intelligent Medical Robotic Systems

    Directory of Open Access Journals (Sweden)

    Shashev Dmitriy

    2016-01-01

    Full Text Available The paper deals with the use of high-performance computing systems with the parallel-operation architecture in intelligent medical systems, such as medical robotic systems, based on a computer vision system, is an automatic control system with the strict requirements, such as high reliability, accuracy and speed of performance. It shows the basic block-diagram of an automatic control system based on a computer vision system. The author considers the possibility of using a reconfigurable computing environment in such systems. The design principles of the reconfigurable computing environment allows to improve a reliability, accuracy and performance of whole system many times. The article contains the brief overview and the theory of the research, demonstrates the use of reconfigurable computing environments for the image preprocessing, namely morphological image processing operations. Present results of the successful simulation of the reconfigurable computing environment and implementation of the morphological image processing operations on the test image in the MATLAB Simulink.

  15. AERCam Autonomy: Intelligent Software Architecture for Robotic Free Flying Nanosatellite Inspection Vehicles

    Science.gov (United States)

    Fredrickson, Steven E.; Duran, Steve G.; Braun, Angela N.; Straube, Timothy M.; Mitchell, Jennifer D.

    2006-01-01

    with minimal impact on IVA operators and ground controllers, the Mini AERCam system architecture incorporates intelligent systems attributes that support various autonomous capabilities. 1) A robust command sequencer enables task-level command scripting. Command scripting is employed for operations such as automatic inspection scans over a region of interest, and operator-hands-off automated docking. 2) A system manager built on the same expert-system software as the command sequencer provides detection and smart-response capability for potential system-level anomalies, like loss of communications between the Free Flyer and control station. 3) An AERCam dynamics manager provides nominal and off-nominal management of guidance, navigation, and control (GN&C) functions. It is employed for safe trajectory monitoring, contingency maneuvering, and related roles. This paper will describe these architectural components of Mini AERCam autonomy, as well as the interaction of these elements with a human operator during supervised autonomous control.

  16. Predicting speech intelligibility in conditions with nonlinearly processed noisy speech

    DEFF Research Database (Denmark)

    Jørgensen, Søren; Dau, Torsten

    2013-01-01

    The speech-based envelope power spectrum model (sEPSM; [1]) was proposed in order to overcome the limitations of the classical speech transmission index (STI) and speech intelligibility index (SII). The sEPSM applies the signal-tonoise ratio in the envelope domain (SNRenv), which was demonstrated...... to successfully predict speech intelligibility in conditions with nonlinearly processed noisy speech, such as processing with spectral subtraction. Moreover, a multiresolution version (mr-sEPSM) was demonstrated to account for speech intelligibility in various conditions with stationary and fluctuating...... from computational auditory scene analysis and further support the hypothesis that the SNRenv is a powerful metric for speech intelligibility prediction....

  17. Emotional Intelligence and the Career Choice Process.

    Science.gov (United States)

    Emmerling, Robert J.; Cherniss, Cary

    2003-01-01

    Emotional intelligence as conceptualized by Mayer and Salovey consists of perceiving emotions, using emotions to facilitate thoughts, understanding emotions, and managing emotions to enhance personal growth. The Multifactor Emotional Intelligence Scale has proven a valid and reliable measure that can be used to explore the implications of…

  18. Using artificial intelligence to automate remittance processing.

    Science.gov (United States)

    Adams, W T; Snow, G M; Helmick, P M

    1998-06-01

    The consolidated business office of the Allegheny Health Education Research Foundation (AHERF), a large integrated healthcare system based in Pittsburgh, Pennsylvania, sought to improve its cash-related business office activities by implementing an automated remittance processing system that uses artificial intelligence. The goal was to create a completely automated system whereby all monies it processed would be tracked, automatically posted, analyzed, monitored, controlled, and reconciled through a central database. Using a phased approach, the automated payment system has become the central repository for all of the remittances for seven of the hospitals in the AHERF system and has allowed for the complete integration of these hospitals' existing billing systems, document imaging system, and intranet, as well as the new automated payment posting, and electronic cash tracking and reconciling systems. For such new technology, which is designed to bring about major change, factors contributing to the project's success were adequate planning, clearly articulated objectives, marketing, end-user acceptance, and post-implementation plan revision.

  19. Internet-based intelligent information processing systems

    CERN Document Server

    Tonfoni, G; Ichalkaranje, N S

    2003-01-01

    The Internet/WWW has made it possible to easily access quantities of information never available before. However, both the amount of information and the variation in quality pose obstacles to the efficient use of the medium. Artificial intelligence techniques can be useful tools in this context. Intelligent systems can be applied to searching the Internet and data-mining, interpreting Internet-derived material, the human-Web interface, remote condition monitoring and many other areas. This volume presents the latest research on the interaction between intelligent systems (neural networks, adap

  20. Processing of remote sensing information in cooperative intelligent grid environment

    Science.gov (United States)

    Sun, Jie; Ma, Hongchao; Zhong, Liang

    2008-12-01

    In order to raise the intelligent level and improve cooperative ability of grid. This paper proposes an agent oriented middleware, which is applied to the traditional OGSA architecture to compose a new architecture named CIG (Cooperative Intelligent Grid) and expounds the types of cooperative processing of remote sensing, the architecture of CIG and how to implement the cooperation in the CIG environment.

  1. Intelligent Mobile Sensor System for drum inspection and monitoring -- Volume 1. Final report, October 1, 1993--April 22, 1995

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-12-31

    The objective of the Intelligent Mobile Sensor System (IMSS) project is to develop an operational system for monitoring and inspection activities for waste storage facility operations at several DOE sites. Specifically, the product of this effort is a robotic device with enhanced intelligence and maneuverability capable of conducting routine inspection of stored waste drums. The device is capable of operating in the narrow free aisle space between rows of stacked drums. The system has an integrated sensor suite for problem-drum detection, and is linked to a site database both for inspection planning and for data correlation, updating, and report generation. The system is capable of departing on an assigned mission, collecting required data, recording which portions of its mission had to be aborted or modified due to environmental constraints, and reporting back when the mission is complete. Successful identification of more than 96% of drum defects has been demonstrated in a high fidelity waste storage facility mockup. Identified anomalies included rust spots, rust streaks, areas of corrosion, dents, and tilted drums. All drums were positively identified and correlated with the site database. This development effort is separated into three phases of which phase two is now complete. The first phase demonstrated an integrated system (maturity level IVa) for monitoring and inspection activities for waste storage facility operations. The second phase demonstrated a prototype system appropriate for operational use in an actual storage facility. The prototype provides an integrated design that considers operational requirements, hardware costs, maintenance, safety, and robustness. The final phase will demonstrate commercial viability using the prototype vehicle in a pilot waste operations and inspection project. This report summarizes the design and evaluation of the new IMSS Phase 2 system and vehicle.

  2. An Intelligent Image Processing System for Real-Time Detection of Surface Flaws

    Directory of Open Access Journals (Sweden)

    Yu-Cheng Chou

    2016-03-01

    Full Text Available This paper presents an intelligent parallel image processing system, PVCS (Parallel Visual Computing System, to handle in-line surface defect detection for large objects. PVCS is a parallel expansion of a previously-reported non-destructive Compute Unified Device Architecture (CUDA-enabled optical inspection system to accommodate large test objects. PVCS is heterogeneous both in terms of hardware and software. From the hardware perspective, PVCS consists of multiple CPUs and GPUs; from the software perspective, PVCS adopts the Message Passing Interface (MPI and CUDA programming models. A parallel prototype system, consisting of three CPUs and two GPUs, is used to inspect a simulated object with an area eight times greater than that of the real object in our previous work. Given the same resolution requirements, the simulation results show that PVCS can obtain the correct number of defects within a large-size image at a satisfactory processing rate.

  3. Intelligent Transportation Control based on Proactive Complex Event Processing

    Directory of Open Access Journals (Sweden)

    Wang Yongheng

    2016-01-01

    Full Text Available Complex Event Processing (CEP has become the key part of Internet of Things (IoT. Proactive CEP can predict future system states and execute some actions to avoid unwanted states which brings new hope to intelligent transportation control. In this paper, we propose a proactive CEP architecture and method for intelligent transportation control. Based on basic CEP technology and predictive analytic technology, a networked distributed Markov decision processes model with predicting states is proposed as sequential decision model. A Q-learning method is proposed for this model. The experimental evaluations show that this method works well when used to control congestion in in intelligent transportation systems.

  4. The Role of Intelligence Quotient and Emotional Intelligence in Cognitive Control Processes

    OpenAIRE

    Checa, Purificación; Fernández-Berrocal, Pablo

    2015-01-01

    The relationship between intelligence quotient (IQ) and cognitive control processes has been extensively established. Several studies have shown that IQ correlates with cognitive control abilities, such as interference suppression, as measured with experimental tasks like the Stroop and Flanker tasks. By contrast, there is a debate about the role of Emotional Intelligence (EI) in individuals' cognitive control abilities. The aim of this study is to examine the relation between IQ and EI, and ...

  5. Tera-Op Reliable Intelligently Adaptive Processing System (TRIPS)

    Science.gov (United States)

    2004-04-01

    AFRL-IF-WP-TR-2004-1514 TERA -OP RELIABLE INTELLIGENTLY ADAPTIVE PROCESSING SYSTEM (TRIPS) Stephen W. Keckler, Doug Burger, Michael Dahlin...03/31/2004 5a. CONTRACT NUMBER F33615-01-C-1892 5b. GRANT NUMBER 4. TITLE AND SUBTITLE TERA -OP RELIABLE INTELLIGENTLY ADAPTIVE PROCESSING...influence beyond the scope of this project; the influence is expected to increase with the fabrication of the prototype in phase 2. 1 2 Introduction The Tera

  6. Intelligent mobile sensor system for drum inspection and monitoring: Topical report, October 1, 1993--April 22, 1995

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-04-01

    The objective of the Intelligent Mobile Sensor System (IMSS) project is to develop an operational system for monitoring and inspection activities for waste storage facility operations at several DOE sites. Specifically, the product of this effort is a robotic device with enhanced intelligence and maneuverability capable of conducting routine inspection of stored waste drums. The system has an integrated sensor suite for problem-drum detection, and is linked to a site database both for inspection planning and for data correlation, updating, and report generation. The system is capable of departing on an assigned mission, collecting required data, recording which portions of its mission had to be aborted or modified due to environmental constraints, and reporting back when the mission is complete. Successful identification of more than 96% of drum defects has been demonstrated in a high fidelity waste storage facility mockup. Identified anomalies included rust spots, rust streaks, areas of corrosion, dents, and tilted drums. All drums were positively identified and correlated with the site database. This development effort is separated into three phases of which phase two is now complete. The second phase demonstrated a prototype system appropriate for operational use in an actual storage facility. The prototype provides an integrated design that considers operational requirements, hardware costs, maintenance, safety, and robustness. The final phase will demonstrate commercial viability using the prototype vehicle in a pilot waste operations and inspection project. This report summarizes the design and evaluation of the new IMSS Phase 2 system and vehicle. Several parts of the IMSS Phase 1 Topical (Final) Report, which describes the requirements, design guidelines, and detailed design of the Phase 1 IMSS vehicle, are incorporated here, with modifications to reflect the changes in the design and the new elements added during the Phase 2 work.

  7. Intelligent Mobile Sensor System for drum inspection and monitoring -- Volume 2. Final report, October 1, 1993--April 22, 1995

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-12-31

    The objective of the Intelligent Mobile Sensor System (IMSS) project was to develop an operational system for monitoring and inspection activities for waste storage facility operations at several DOE sites. Specifically, the product of this effort was a robotic device with enhanced intelligence and maneuverability capable of conducting routine inspection of stored waste drums. The system has an integrated sensor suite for problem-drum detection, and creates and maintains a site database both for inspection planning and for data correlation, updating, and report generation. The system is capable of departing on an assigned mission, collecting required data, recording which portions of its mission had to be aborted or modified due to environmental constraints, and reporting back when the mission is complete. Successful identification of more than 96% of drum defects has been demonstrated in a high fidelity waste storage facility mockup. Identified anomalies included rust spots, rust streaks, areas of corrosion, dents, and tilted drums. All drums were positively identified and correlated with the site database. This development effort was separated into three phases of which phase three is now complete. The first phase demonstrated an integrated system (maturity level IVa) for monitoring and inspection activities for waste storage facility operations. The second phase demonstrated a prototype system appropriate for operational use in an actual storage facility. The prototype employed an integrated design that considered operational requirements, hardware costs, maintenance, safety, and robustness. The final phase has demonstrated the commercial viability of the vehicle in operating waste storage facilities at Fernald, Ohio and the Idaho National Engineering Laboratory (INEL). This report summarizes the system upgrades performed in phase 3 and the evaluation of the IMSS Phase 3 system and vehicle.

  8. Is Conscientiousness negatively correlated with intelligence test and inspection time performance

    OpenAIRE

    2006-01-01

    The purpose of this study was to ascertain if high C developed as a compensation mechanism to make up for a lack of intelligence: our hypothesis was that C would negatively correlate with intelligence tests’ scores and IT accuracy scores. C was measured along with the other Big 5 factors via a 100 item personality questionnaire: there were 10 items for each factor, except C which had 10 items measuring each of its 6 subfacets, hence 100 items. Intelligence was measured via Rave...

  9. The big data processing platform for intelligent agriculture

    Science.gov (United States)

    Huang, Jintao; Zhang, Lichen

    2017-08-01

    Big data technology is another popular technology after the Internet of Things and cloud computing. Big data is widely used in many fields such as social platform, e-commerce, and financial analysis and so on. Intelligent agriculture in the course of the operation will produce large amounts of data of complex structure, fully mining the value of these data for the development of agriculture will be very meaningful. This paper proposes an intelligent data processing platform based on Storm and Cassandra to realize the storage and management of big data of intelligent agriculture.

  10. Intelligent mobile sensor system for drum inspection and monitoring: Phase 1. Topical report, October 1, 1992--June 8, 1993

    Energy Technology Data Exchange (ETDEWEB)

    1993-06-01

    The objective of this project was to develop an operational system for monitoring and inspection activities for waste storage facility operations at several DOE sites. Specifically, the product of this effort is a robotic device with enhanced intelligence and maneuverability capable of conducting routine inspection of stored waste drums. The device is capable of operating in narrow aisles and interpolating the free aisle space between rows of stacked drums. The system has an integrated sensor suite for leak detection, and is interfaced with a site database both for inspection planning and for data correlation, updating, and report generation. The system is capable of departing on an assigned mission, collecting required data, recording which positions of its mission had to be aborted or modified due to environmental constraints, and reporting back when the mission is complete. Successful identification of more than 90% of all drum defects has been demonstrated in a high fidelity waste storage facility mockup. Identified anomalies included rust spots, rust streaks, areas of corrosion, dents, and tilted drums. All drums were positively identified and correlated with the site database. This development effort is separated into three phases of which phase one is now complete. The first phase has demonstrated an integrated system for monitoring and inspection activities for waste storage facility operations. This demonstration system was quickly fielded and evaluated by leveraging technologies developed from previous NASA and DARPA contracts and internal research. The second phase will demonstrate a prototype system appropriate for operational use in an actual storage facility. The prototype provides an integrated design that considers operational requirements, hardware costs, maintenance, safety, and robustness. The final phase will demonstrate commercial viability using the prototype vehicle in a pilot waste operations and inspection project.

  11. Method of visual photoelectric intelligent inspection for microgeometrical parameters of surface

    Science.gov (United States)

    Pan, Yong-Dong; Li, Dong-Sheng; Wang, Guang-Quan

    1993-09-01

    This article expounds the principle and constitution of the visual and intelligent detecting system of geometrical parameters in the microscopic view. This system is used mainly on manufactory site. It fits in with the micro geometrical parameters detecting on all sorts of planes and curved surfaces such as the depth and width of furrow the surface degree of roughness etc. This system consists of mechanical part optical part photographic sensing unit and chip microprocessors. The function of mechanical part is pointing allocation adsorption adjusting the focal length and scanning on the plate of all sorts of planes and curved surfaces. The principle of optical part is parting with light. The flaw on the surface of the plate which is detected will be amplified and imaged on the focal plane of the objector in the reflect light path. CCD photographic sensing unit will change the flaw of the image to digital electrical signal. The function of microprocessor system is image recognition and diagnoses. This article expounds emphatically the theory and technology on the engagement of the optical peculiarity focal plane fuzzy recognition and compensation. On the basis of common image processing this detecting instrument uses the technology of background separation gate circuit trigger highspeed S/H circuit parallel AID change and the software of image processing makes use of not only the technology of space and frequency domain and the modularity constitution but

  12. Optimisation of Construction Process Inspection Rates using a Learning Approach

    Directory of Open Access Journals (Sweden)

    Swapan Saha

    2012-11-01

    Full Text Available In the construction industry, the determination of the number of inspections/tests to be performed for a repetitive task is an important issue. The quality of a completed task depends on a number of factors including the cost of inspection, the cost of failure, the average proportion defective (error rate and the inspection rate. To achieve a higher quality level, 100% inspection can be performed, however, this is unlikely to be cost effective. To determine the optimum inspection rate, this paper suggests a probabilistic approach incorporating the acceptance-sampling plan and minimum cost method. The limitation of various sampling plans including the attribute proportional sampling plan and the double sampling plan are outlined. An example is presented in this paper to demonstrate the calculation of the optimum number of inspections/tests per lot.

  13. Fluid Intelligence and Automatic Neural Processes in Facial Expression Perception

    DEFF Research Database (Denmark)

    Liu, Tongran; Xiao, Tong; Li, Xiaoyan

    2015-01-01

    The relationship between human fluid intelligence and social-emotional abilities has been a topic of considerable interest. The current study investigated whether adolescents with different intellectual levels had different automatic neural processing of facial expressions. Two groups of adolesce......-attentive change detection on social-emotional information.......The relationship between human fluid intelligence and social-emotional abilities has been a topic of considerable interest. The current study investigated whether adolescents with different intellectual levels had different automatic neural processing of facial expressions. Two groups of adolescent...

  14. Integrating Process Planning and Scheduling with an Intelligent Facilitator

    Institute of Scientific and Technical Information of China (English)

    WANG; Jiao; ZHANG; Y; F; NEE; A; Y; C

    2002-01-01

    This paper introduces a dynamic facilitating mechan is m for the integration of process planning and scheduling in a batch-manufacturi ng environment. This integration is essential for the optimum use of production resources and generation of realistic process plans that can be readily executed with little or no modification. In this paper, integration is modeled in two le vels, viz., process planning and scheduling, which are linked by an intelligent facilitator. The process planning module employs an o...

  15. COMPUTATIONALLY INTELLIGENT MODELLING AND CONTROL OF FLUIDIZED BED COMBUSTION PROCESS

    Directory of Open Access Journals (Sweden)

    Ivan T Ćirić

    2011-01-01

    Full Text Available In this paper modelling and control approaches for fluidized bed combustion process have been considered, that are based on the use of computational intelligence. Proposed adaptive neuro-fuzzy-genetic modelling and intelligent control strategies provide for efficient combining of available expert knowledge with experimental data. Firstly, based on the qualitative information on the desulphurization process, models of the SO2 emission in fluidized bed combustion have been developed, which provides for economical and efficient reduction of SO2 in FBC by estimation of optimal process parameters and by design of intelligent control systems based on defined emission models. Also, efficient fuzzy nonlinear FBC process modelling strategy by combining several linearized combustion models has been presented. Finally, fuzzy and conventional process control systems for fuel flow and primary air flow regulation based on developed models and optimized by genetic algorithms have also been developed. Obtained results indicate that computationally intelligent approach can be successfully applied for modelling and control of complex fluidized bed combustion process.

  16. Analyzing a Mature Software Inspection Process Using Statistical Process Control (SPC)

    Science.gov (United States)

    Barnard, Julie; Carleton, Anita; Stamper, Darrell E. (Technical Monitor)

    1999-01-01

    This paper presents a cooperative effort where the Software Engineering Institute and the Space Shuttle Onboard Software Project could experiment applying Statistical Process Control (SPC) analysis to inspection activities. The topics include: 1) SPC Collaboration Overview; 2) SPC Collaboration Approach and Results; and 3) Lessons Learned.

  17. Analyzing a Mature Software Inspection Process Using Statistical Process Control (SPC)

    Science.gov (United States)

    Barnard, Julie; Carleton, Anita; Stamper, Darrell E. (Technical Monitor)

    1999-01-01

    This paper presents a cooperative effort where the Software Engineering Institute and the Space Shuttle Onboard Software Project could experiment applying Statistical Process Control (SPC) analysis to inspection activities. The topics include: 1) SPC Collaboration Overview; 2) SPC Collaboration Approach and Results; and 3) Lessons Learned.

  18. Intelligent query processing for semantic mediation of information systems

    Directory of Open Access Journals (Sweden)

    Saber Benharzallah

    2011-11-01

    Full Text Available We propose an intelligent and an efficient query processing approach for semantic mediation of information systems. We propose also a generic multi agent architecture that supports our approach. Our approach focuses on the exploitation of intelligent agents for query reformulation and the use of a new technology for the semantic representation. The algorithm is self-adapted to the changes of the environment, offers a wide aptitude and solves the various data conflicts in a dynamic way; it also reformulates the query using the schema mediation method for the discovered systems and the context mediation for the other systems.

  19. Intelligent Industrial Transmitters of Pressure and Other Process Parameters

    Directory of Open Access Journals (Sweden)

    B. L. Miljković

    2009-11-01

    Full Text Available An overview is given of industrial measurement instruments (transmitters of pressure and other process parameters. It is followed by a description of the technology used in the current generation of intelligent transmitters featuring two-way digital communication. A recently developed product of IHTM–CMTM, the intelligent pressure transmitter is presented, including a description of the software temperature compensation method for the used pressure sensor. Features and application possibilities of the developed hardware and software platform are discussed, as well as its suitability for the realization of wireless sensors.

  20. FDEMS Sensing for Automated Intelligent Processing of PMR-15

    Science.gov (United States)

    Kranbuehl, David E.; Hood, D. K.; Rogozinski, J.; Barksdale, R.; Loos, Alfred C.; McRae, Doug

    1993-01-01

    The purpose of this grant was to develop frequency dependent dielectric measurements, often called FDEMS (frequency dependent electromagnetic sensing), to monitor and intelligently control the cure process in PMR-15, a stoichiometric mixture of a nadic ester, dimethyl ester, and methylendianiline in a monomor ratio.

  1. Personality and Information Processing Speed: Independent Influences on Intelligent Performance

    Science.gov (United States)

    Bates, Timothy C.; Rock, Andrew

    2004-01-01

    Raven's matrices and inspection time (IT) were recorded from 56 subjects under five arousal levels. Raven's and IT correlated strongly (r = -0.7) as predicted by processing-speed theories of "g." In line with Eysenck's [Eysenck, H. J. (1967). "The biological basis of personality". Springfield, IL: Thomas] arousal theory of extraversion, there was…

  2. Personality and Information Processing Speed: Independent Influences on Intelligent Performance

    Science.gov (United States)

    Bates, Timothy C.; Rock, Andrew

    2004-01-01

    Raven's matrices and inspection time (IT) were recorded from 56 subjects under five arousal levels. Raven's and IT correlated strongly (r = -0.7) as predicted by processing-speed theories of "g." In line with Eysenck's [Eysenck, H. J. (1967). "The biological basis of personality". Springfield, IL: Thomas] arousal theory of extraversion, there was…

  3. The role of business intelligence in decision process modeling

    Directory of Open Access Journals (Sweden)

    Višnja Istrat

    2015-10-01

    Full Text Available Decision making is a very significant and complex function of management that requires methods and techniques that simplify the process of choosing the best alternative. In modern business, the challenge for managers is to find the alternatives for improving the decision-making process. Decisions directly affect profit generation and positioning of the company in the market. It is well-known that people dealt with the phenomenon of decision making in each phase of the development of society, which has triggered the need to learn more about this process. The main contribution of this paper is to show the significance of business intelligence tools and techniques as support to the decision making process of managers. Research results have shown that business intelligence plays an enormous role in modern decision process modeling.

  4. Strengthening Intelligence Education with Information-Processing and Knowledge- Organization Competencies

    Directory of Open Access Journals (Sweden)

    Yejun Wu

    2013-08-01

    Full Text Available This paper studies the weaknesses of intelligence-education curriculum in the United States from a Library and Information Science perspective. Intelligence information processing is a separate step in the traditional intelligence cycle; however, information-processing competencies are often included in the intelligence collection and analysis competencies in the Intelligence Community. A study of the websites of the intelligence-education programs in the major 27 intelligence-education institutions in the United States reveals that information processing is often implicitly included in an intelligence analysis or collection course; and only three universities offer such courses that include information-processing components. Only one university has been found to offer courses that implicitly include components of the knowledge-organization competency. This paper recommends strengthening intelligence-education curriculum with information-processing and knowledge-organization competencies.

  5. Advances in Reasoning-Based Image Processing Intelligent Systems Conventional and Intelligent Paradigms

    CERN Document Server

    Nakamatsu, Kazumi

    2012-01-01

    The book puts special stress on the contemporary techniques for reasoning-based image processing and analysis: learning based image representation and advanced video coding; intelligent image processing and analysis in medical vision systems; similarity learning models for image reconstruction; visual perception for mobile robot motion control, simulation of human brain activity in the analysis of video sequences; shape-based invariant features extraction; essential of paraconsistent neural networks, creativity and intelligent representation in computational systems. The book comprises 14 chapters. Each chapter is a small monograph, representing resent investigations of authors in the area. The topics of the chapters cover wide scientific and application areas and complement each-other very well. The chapters’ content is based on fundamental theoretical presentations, followed by experimental results and comparison with similar techniques. The size of the chapters is well-ballanced which permits a thorough ...

  6. The Role of Intelligence Quotient and Emotional Intelligence in Cognitive Control Processes.

    Science.gov (United States)

    Checa, Purificación; Fernández-Berrocal, Pablo

    2015-01-01

    The relationship between intelligence quotient (IQ) and cognitive control processes has been extensively established. Several studies have shown that IQ correlates with cognitive control abilities, such as interference suppression, as measured with experimental tasks like the Stroop and Flanker tasks. By contrast, there is a debate about the role of Emotional Intelligence (EI) in individuals' cognitive control abilities. The aim of this study is to examine the relation between IQ and EI, and cognitive control abilities evaluated by a typical laboratory control cognitive task, the Stroop task. Results show a negative correlation between IQ and the interference suppression index, the ability to inhibit processing of irrelevant information. However, the Managing Emotions dimension of EI measured by the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT), but not self-reported of EI, negatively correlates with the impulsivity index, the premature execution of the response. These results suggest that not only is IQ crucial, but also competences related to EI are essential to human cognitive control processes. Limitations and implications of these results are also discussed.

  7. The Role of Intelligence Quotient and Emotional Intelligence in Cognitive Control Processes

    Science.gov (United States)

    Checa, Purificación; Fernández-Berrocal, Pablo

    2015-01-01

    The relationship between intelligence quotient (IQ) and cognitive control processes has been extensively established. Several studies have shown that IQ correlates with cognitive control abilities, such as interference suppression, as measured with experimental tasks like the Stroop and Flanker tasks. By contrast, there is a debate about the role of Emotional Intelligence (EI) in individuals' cognitive control abilities. The aim of this study is to examine the relation between IQ and EI, and cognitive control abilities evaluated by a typical laboratory control cognitive task, the Stroop task. Results show a negative correlation between IQ and the interference suppression index, the ability to inhibit processing of irrelevant information. However, the Managing Emotions dimension of EI measured by the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT), but not self-reported of EI, negatively correlates with the impulsivity index, the premature execution of the response. These results suggest that not only is IQ crucial, but also competences related to EI are essential to human cognitive control processes. Limitations and implications of these results are also discussed. PMID:26648901

  8. The role of Intelligence Quotient and Emotional Intelligence in cognitive control processes

    Directory of Open Access Journals (Sweden)

    Purificación eCheca

    2015-12-01

    Full Text Available The relationship between intelligence quotient (IQ and cognitive control processes has been extensively established. Several studies have shown that IQ correlates with cognitive control abilities, such as interference suppression, as measured with experimental tasks like the Stroop and Flanker tasks. By contrast, there is a debate about the role of Emotional Intelligence (EI in individuals’ cognitive control abilities. The aim of this study is to examine the relation between IQ and EI, and cognitive control abilities evaluated by a typical laboratory control cognitive task, the Stroop task. Results show a negative correlation between IQ and the interference suppression index, the ability to inhibit processing of irrelevant information. However, the Managing Emotions dimension of EI measured by the Mayer-Salovey-Caruso Emotional Intelligence Test, but not self-reported of EI, negatively correlates with the impulsivity index, the premature execution of the response. These results suggest that not only is IQ crucial, but also competences related to EI are essential to human cognitive control processes. Limitations and implications of these results are also discussed

  9. Intelligent Fault Diagnosis in Lead-zinc Smelting Process

    Institute of Scientific and Technical Information of China (English)

    Wei-Hua Gui; Chun-Hua Yang; Jing Teng

    2007-01-01

    According to the fault characteristic of the imperial smelting process (ISP), a novel intelligent integrated fault diagnostic system is developed. In the system fuzzy neural networks are utilized to extract fault symptom and expert system is employed for effective fault diagnosis of the process. Furthermore, fuzzy abductive inference is introduced to diagnose multiple faults. Feasibility of the proposed system is demonstrated through a pilot plant case study.

  10. SUGGEST AN INTELLIGENT FRAMEWORK FOR BUILDING BUSINESS PROCESS MANAGEMENT

    OpenAIRE

    Almutairi Raed; Dr. Djamal Ziani

    2015-01-01

    As companies enter into the digital world, information technology is playing a major role in bringing process improvements to the forefront of business management. In the recent decades, many organizations have struggled to redesign and improve their business processes to reduce their total cost. The main contribution of this research study is to propose an intelligent framework that possesses the ability to employ a database of best practices, business standards, and business act...

  11. The processing of information from sensors in intelligent systems

    Science.gov (United States)

    Kokovin, V. A.; Sytin, A. N.

    2017-01-01

    The article describes the processing of information obtained from sensors in intelligent systems. The paper analyzes the need of advanced treatment for a paralleling operation calculator which reduces the time of response to input events. A realization of a speculative processing algorithm in the FPGA by streaming control is based on a data flow model. This solution can be used in applications related to telecommunications networks of distributed control systems.

  12. Intelligent Signal Processing for Detection System Optimization

    Energy Technology Data Exchange (ETDEWEB)

    Fu, C Y; Petrich, L I; Daley, P F; Burnham, A K

    2004-06-18

    A wavelet-neural network signal processing method has demonstrated approximately tenfold improvement in the detection limit of various nitrogen and phosphorus compounds over traditional signal-processing methods in analyzing the output of a thermionic detector attached to the output of a gas chromatograph. A blind test was conducted to validate the lower detection limit. All fourteen of the compound spikes were detected when above the estimated threshold, including all three within a factor of two above. In addition, two of six were detected at levels 1/2 the concentration of the nominal threshold. We would have had another two correct hits if we had allowed human intervention to examine the processed data. One apparent false positive in five nulls was traced to a solvent impurity, whose presence was identified by running a solvent aliquot evaporated to 1% residual volume, while the other four nulls were properly classified. We view this signal processing method as broadly applicable in analytical chemistry, and we advocate that advanced signal processing methods be applied as directly as possible to the raw detector output so that less discriminating preprocessing and post-processing does not throw away valuable signal.

  13. Intelligent Signal Processing for Detection System Optimization

    Energy Technology Data Exchange (ETDEWEB)

    Fu, C Y; Petrich, L I; Daley, P F; Burnham, A K

    2004-12-05

    A wavelet-neural network signal processing method has demonstrated approximately tenfold improvement over traditional signal-processing methods for the detection limit of various nitrogen and phosphorus compounds from the output of a thermionic detector attached to a gas chromatograph. A blind test was conducted to validate the lower detection limit. All fourteen of the compound spikes were detected when above the estimated threshold, including all three within a factor of two above the threshold. In addition, two of six spikes were detected at levels of 1/2 the concentration of the nominal threshold. Another two of the six would have been detected correctly if we had allowed human intervention to examine the processed data. One apparent false positive in five nulls was traced to a solvent impurity, whose presence was subsequently identified by analyzing a solvent aliquot evaporated to 1% residual volume, while the other four nulls were properly classified. We view this signal processing method as broadly applicable in analytical chemistry, and we advocate that advanced signal processing methods should be applied as directly as possible to the raw detector output so that less discriminating preprocessing and post-processing does not throw away valuable signal.

  14. Building the competitive intelligence knowledge: processes and activities in a corporate organisation

    OpenAIRE

    V. sreenivasulu

    1999-01-01

    This paper discusses the process of building and developing comprehensive tools, techniques, support systems, and better methods of harnessing the competitive intelligence knowledge processes. The author stresses the need for building sophisticated methodological competitive intelligence knowledge acquisition, systematic collection of competitive intelligence knowledge from various sources for critical analysis, process, organization, synthesis, assessment, screening, filtering and interpreta...

  15. Intelligent Predictive Control of Nonlienar Processes Using

    DEFF Research Database (Denmark)

    Nørgård, Peter Magnus; Sørensen, Paul Haase; Poulsen, Niels Kjølstad

    1996-01-01

    frequently been discussed in the neural network community. This paper proposes an approximate scheme, the approximate predictive control (APC), which facilitates the implementation and gives a substantial reduction in the required amount of computations. The method is based on a technique for extracting......This paper presents a novel approach to design of generalized predictive controllers (GPC) for nonlinear processes. A neural network is used for modelling the process and a gain-scheduling type of GPC is subsequently designed. The combination of neural network models and predictive control has...... linear models from a nonlinear neural network and using them in designing the control system. The performance of the controller is demonstrated in a simulation study of a pneumatic servo system...

  16. A conceptual framework for intelligent real-time information processing

    Science.gov (United States)

    Schudy, Robert

    1987-01-01

    By combining artificial intelligence concepts with the human information processing model of Rasmussen, a conceptual framework was developed for real time artificial intelligence systems which provides a foundation for system organization, control and validation. The approach is based on the description of system processing terms of an abstraction hierarchy of states of knowledge. The states of knowledge are organized along one dimension which corresponds to the extent to which the concepts are expressed in terms of the system inouts or in terms of the system response. Thus organized, the useful states form a generally triangular shape with the sensors and effectors forming the lower two vertices and the full evaluated set of courses of action the apex. Within the triangle boundaries are numerous processing paths which shortcut the detailed processing, by connecting incomplete levels of analysis to partially defined responses. Shortcuts at different levels of abstraction include reflexes, sensory motor control, rule based behavior, and satisficing. This approach was used in the design of a real time tactical decision aiding system, and in defining an intelligent aiding system for transport pilots.

  17. Sensor fusion for intelligent process control.

    Energy Technology Data Exchange (ETDEWEB)

    Connors, John J. (PPG Industries, Inc., Harmar Township, PA); Hill, Kevin (PPG Industries, Inc., Harmar Township, PA); Hanekamp, David (PPG Industries, Inc., Harmar Township, PA); Haley, William F. (PPG Industries, Inc., Wichita Falls, TX); Gallagher, Robert J.; Gowin, Craig (PPG Industries, Inc., Batavia, IL); Farrar, Arthur R. (PPG Industries, Inc., Wichita Falls, TX); Sheaffer, Donald A.; DeYoung, Mark A. (PPG Industries, Inc., Mt. Zion, IL); Bertram, Lee A.; Dodge, Craig (PPG Industries, Inc., Mt. Zion, IL); Binion, Bruce (PPG Industries, Inc., Mt. Zion, IL); Walsh, Peter M.; Houf, William G.; Desam, Padmabhushana R. (University of Utah, Salt Lake City, UT); Tiwary, Rajiv (PPG Industries, Inc., Harmar Township, PA); Stokes, Michael R. (PPG Industries, Inc.); Miller, Alan J. (PPG Industries, Inc., Mt. Zion, IL); Michael, Richard W. (PPG Industries, Inc., Lincoln, AL); Mayer, Raymond M. (PPG Industries, Inc., Harmar Township, PA); Jiao, Yu (PPG Industries, Inc., Harmar Township, PA); Smith, Philip J. (University of Utah, Salt Lake City, UT); Arbab, Mehran (PPG Industries, Inc., Harmar Township, PA); Hillaire, Robert G.

    2004-08-01

    An integrated system for the fusion of product and process sensors and controls for production of flat glass was envisioned, having as its objective the maximization of throughput and product quality subject to emission limits, furnace refractory wear, and other constraints. Although the project was prematurely terminated, stopping the work short of its goal, the tasks that were completed show the value of the approach and objectives. Though the demonstration was to have been done on a flat glass production line, the approach is applicable to control of production in the other sectors of the glass industry. Furthermore, the system architecture is also applicable in other industries utilizing processes in which product uniformity is determined by ability to control feed composition, mixing, heating and cooling, chemical reactions, and physical processes such as distillation, crystallization, drying, etc. The first phase of the project, with Visteon Automotive Systems as industrial partner, was focused on simulation and control of the glass annealing lehr. That work produced the analysis and computer code that provide the foundation for model-based control of annealing lehrs during steady state operation and through color and thickness changes. In the second phase of the work, with PPG Industries as the industrial partner, the emphasis was on control of temperature and combustion stoichiometry in the melting furnace, to provide a wider operating window, improve product yield, and increase energy efficiency. A program of experiments with the furnace, CFD modeling and simulation, flow measurements, and sensor fusion was undertaken to provide the experimental and theoretical basis for an integrated, model-based control system utilizing the new infrastructure installed at the demonstration site for the purpose. In spite of the fact that the project was terminated during the first year of the second phase of the work, the results of these first steps toward implementation

  18. Artificial intelligence, expert systems, computer vision, and natural language processing

    Science.gov (United States)

    Gevarter, W. B.

    1984-01-01

    An overview of artificial intelligence (AI), its core ingredients, and its applications is presented. The knowledge representation, logic, problem solving approaches, languages, and computers pertaining to AI are examined, and the state of the art in AI is reviewed. The use of AI in expert systems, computer vision, natural language processing, speech recognition and understanding, speech synthesis, problem solving, and planning is examined. Basic AI topics, including automation, search-oriented problem solving, knowledge representation, and computational logic, are discussed.

  19. Artificial intelligence, expert systems, computer vision, and natural language processing

    Science.gov (United States)

    Gevarter, W. B.

    1984-01-01

    An overview of artificial intelligence (AI), its core ingredients, and its applications is presented. The knowledge representation, logic, problem solving approaches, languages, and computers pertaining to AI are examined, and the state of the art in AI is reviewed. The use of AI in expert systems, computer vision, natural language processing, speech recognition and understanding, speech synthesis, problem solving, and planning is examined. Basic AI topics, including automation, search-oriented problem solving, knowledge representation, and computational logic, are discussed.

  20. Working memory and intelligibility of hearing-aid processed speech.

    Science.gov (United States)

    Souza, Pamela E; Arehart, Kathryn H; Shen, Jing; Anderson, Melinda; Kates, James M

    2015-01-01

    Previous work suggested that individuals with low working memory capacity may be at a disadvantage in adverse listening environments, including situations with background noise or substantial modification of the acoustic signal. This study explored the relationship between patient factors (including working memory capacity) and intelligibility and quality of modified speech for older individuals with sensorineural hearing loss. The modification was created using a combination of hearing aid processing [wide-dynamic range compression (WDRC) and frequency compression (FC)] applied to sentences in multitalker babble. The extent of signal modification was quantified via an envelope fidelity index. We also explored the contribution of components of working memory by including measures of processing speed and executive function. We hypothesized that listeners with low working memory capacity would perform more poorly than those with high working memory capacity across all situations, and would also be differentially affected by high amounts of signal modification. Results showed a significant effect of working memory capacity for speech intelligibility, and an interaction between working memory, amount of hearing loss and signal modification. Signal modification was the major predictor of quality ratings. These data add to the literature on hearing-aid processing and working memory by suggesting that the working memory-intelligibility effects may be related to aggregate signal fidelity, rather than to the specific signal manipulation. They also suggest that for individuals with low working memory capacity, sensorineural loss may be most appropriately addressed with WDRC and/or FC parameters that maintain the fidelity of the signal envelope.

  1. Computer vision barrel inspection

    Science.gov (United States)

    Wolfe, William J.; Gunderson, James; Walworth, Matthew E.

    1994-02-01

    One of the Department of Energy's (DOE) ongoing tasks is the storage and inspection of a large number of waste barrels containing a variety of hazardous substances. Martin Marietta is currently contracted to develop a robotic system -- the Intelligent Mobile Sensor System (IMSS) -- for the automatic monitoring and inspection of these barrels. The IMSS is a mobile robot with multiple sensors: video cameras, illuminators, laser ranging and barcode reader. We assisted Martin Marietta in this task, specifically in the development of image processing algorithms that recognize and classify the barrel labels. Our subsystem uses video images to detect and locate the barcode, so that the barcode reader can be pointed at the barcode.

  2. Advanced multiresponse process optimisation an intelligent and integrated approach

    CERN Document Server

    Šibalija, Tatjana V

    2016-01-01

    This book presents an intelligent, integrated, problem-independent method for multiresponse process optimization. In contrast to traditional approaches, the idea of this method is to provide a unique model for the optimization of various processes, without imposition of assumptions relating to the type of process, the type and number of process parameters and responses, or interdependences among them. The presented method for experimental design of processes with multiple correlated responses is composed of three modules: an expert system that selects the experimental plan based on the orthogonal arrays; the factor effects approach, which performs processing of experimental data based on Taguchi’s quality loss function and multivariate statistical methods; and process modeling and optimization based on artificial neural networks and metaheuristic optimization algorithms. The implementation is demonstrated using four case studies relating to high-tech industries and advanced, non-conventional processes.

  3. Image processing of false identity documents for forensic intelligence.

    Science.gov (United States)

    Talbot-Wright, Benjamin; Baechler, Simon; Morelato, Marie; Ribaux, Olivier; Roux, Claude

    2016-06-01

    Forensic intelligence has recently gathered increasing attention as a potential expansion of forensic science that may contribute in a wider policing and security context. Whilst the new avenue is certainly promising, relatively few attempts to incorporate models, methods and techniques into practical projects are reported. This work reports a practical application of a generalised and transversal framework for developing forensic intelligence processes referred to here as the Transversal model adapted from previous work. Visual features present in the images of four datasets of false identity documents were systematically profiled and compared using image processing for the detection of a series of modus operandi (M.O.) actions. The nature of these series and their relation to the notion of common source was evaluated with respect to alternative known information and inferences drawn regarding respective crime systems. 439 documents seized by police and border guard authorities across 10 jurisdictions in Switzerland with known and unknown source level links formed the datasets for this study. Training sets were developed based on both known source level data, and visually supported relationships. Performance was evaluated through the use of intra-variability and inter-variability scores drawn from over 48,000 comparisons. The optimised method exhibited significant sensitivity combined with strong specificity and demonstrates its ability to support forensic intelligence efforts.

  4. Grey systems for intelligent sensors and information processing

    Institute of Scientific and Technical Information of China (English)

    Chen Chunlin; Dong Daoyi; Chen Zonghai; Wang Haibo

    2008-01-01

    In a measurement system,new representation methods are necessary to maintain the uncertainty and to supply more powerful ability for reasoning and transformation between numerical system and symbolic system.A grey measurement system is discussed from the point of view of intelligent sensors and incomplete information processing compared with a numerical and symbolized mea8urement system.The methods of grey representation and information processing are proposed for data collection and reasoning.As a case study,multi-ultrasonic sensor systems are demonstrated to verify the effectiveness of the proposed methods.

  5. In-TFT-Array-Process Micro Defect Inspection Using Nonlinear Principal Component Analysis

    Directory of Open Access Journals (Sweden)

    Zhi-Hao Kang

    2009-10-01

    Full Text Available Defect inspection plays a critical role in thin film transistor liquid crystal display (TFT-LCD manufacture, and has received much attention in the field of automatic optical inspection (AOI. Previously, most focus was put on the problems of macro-scale Mura-defect detection in cell process, but it has recently been found that the defects which substantially influence the yield rate of LCD panels are actually those in the TFT array process, which is the first process in TFT-LCD manufacturing. Defect inspection in TFT array process is therefore considered a difficult task. This paper presents a novel inspection scheme based on kernel principal component analysis (KPCA algorithm, which is a nonlinear version of the well-known PCA algorithm. The inspection scheme can not only detect the defects from the images captured from the surface of LCD panels, but also recognize the types of the detected defects automatically. Results, based on real images provided by a LCD manufacturer in Taiwan, indicate that the KPCA-based defect inspection scheme is able to achieve a defect detection rate of over 99% and a high defect classification rate of over 96% when the imbalanced support vector machine (ISVM with 2-norm soft margin is employed as the classifier. More importantly, the inspection time is less than 1 s per input image.

  6. The Relationship between Multiple Intelligences with Preferred Science Teaching and Science Process Skills

    Directory of Open Access Journals (Sweden)

    Mohd Ali Samsudin

    2015-02-01

    Full Text Available This study was undertaken to identify the relationship between multiple intelligences with preferred science teaching and science process skills. The design of the study is a survey using three questionnaires reported in the literature: Multiple Intelligences Questionnaire, Preferred Science Teaching Questionnaire and Science Process Skills Questionnaire. The study selected 300 primary school students from five (5 primary schools in Penang, Malaysia. The findings showed a relationship between kinesthetic, logical-mathematical, visual-spatial and naturalistic intelligences with the preferred science teaching. In addition there was a correlation between kinesthetic and visual-spatial intelligences with science process skills, implying that multiple intelligences are related to science learning.

  7. The ethical intelligence: a tool guidance in the process of the negotiation

    Directory of Open Access Journals (Sweden)

    Cristina Seijo

    2014-08-01

    Full Text Available The present article is the result of a research, which has as object present a theoretical contrast that invites to the reflection on the ethical intelligence as a tool guidance in the negotiation. In the same one there are approached the different types of ethical intelligence; spatial intelligence, rational intelligence, emotional intelligence among others, equally one refers associative intelligence to the processes of negotiation and to the tactics of negotiation. In this respect, it is possible to deal to the ethical intelligence as the aptitude to examine the moral standards of the individual and of the society to decide between what this one correct or incorrect and to be able like that to solve the different problematic ones for which an individual or a society cross. For this reason, one invites to start mechanisms of transparency and participation by virtue of which the ethical intelligence is born in mind as the threshold that orientates this process of negotiation. 

  8. Intelligent supervisory-level control of industrial processes

    Energy Technology Data Exchange (ETDEWEB)

    Jaervensivu, M. [Pronyx Control Software (Finland); Juuso, E. [Oulu Univ. (Finland). Control Engineering Lab.

    2000-07-01

    Faced by intense competition, the pulp and paper industry is aiming for higher profitability by raising productivity and lowering costs. On the global scale, the industry has to meet increasing market demands for higher product quality, more specialty products, greater production flexibility and a higher standard of environmental protection. For these reasons, extensive research is being conducted to improve existing processes. One option that is gaining increasing attention within the industry is to improve control of existing processes by means of intelligent systems. In this paper, an intelligent kiln control system is presented. The system consists of two parts: the stabilizing control is based on a new LECont concept which uses a novel linguistic equation approach, while the targets are determined by a StabOpti concept on the optimisation level. Nonlinear models obtained from process data are used for optimisation and compensation of load disturbances. According to test results from on industrial pulp mill, operational flexibility was improved and both economic and ecological benefits were obtained. The overall control system provides a better insight into the process and extends the scope of both fuzzy logic control and advanced extensions of classical control. (orig.)

  9. A new look at emotional intelligence: a dual-process framework.

    Science.gov (United States)

    Fiori, Marina

    2009-02-01

    In this article, the author provides a framework to guide research in emotional intelligence. Studies conducted up to the present bear on a conception of emotional intelligence as pertaining to the domain of consciousness and investigate the construct with a correlational approach. As an alternative, the author explores processes underlying emotional intelligence, introducing the distinction between conscious and automatic processing as a potential source of variability in emotionally intelligent behavior. Empirical literature is reviewed to support the central hypothesis that individual differences in emotional intelligence may be best understood by considering the way individuals automatically process emotional stimuli. Providing directions for research, the author encourages the integration of experimental investigation of processes underlying emotional intelligence with correlational analysis of individual differences and fosters the exploration of the automaticity component of emotional intelligence.

  10. Working memory and intelligibility of hearing-aid processed speech

    Directory of Open Access Journals (Sweden)

    Pamela eSouza

    2015-05-01

    Full Text Available Previous work suggested that individuals with low working memory capacity may be at a disadvantage in adverse listening environments, including situations with background noise or substantial modification of the acoustic signal. This study explored the relationship between patient factors (including working memory capacity and intelligibility and quality of modified speech for older individuals with sensorineural hearing loss. The modification was created using a combination of hearing aid processing (wide-dynamic range compression and frequency compression applied to sentences in multitalker babble. The extent of signal modification was quantified via an envelope fidelity index. We also explored the contribution of components of working memory by including measures of processing speed and executive function. We hypothesized that listeners with low working memory capacity would perform more poorly than those with high working memory capacity across all situations, and would also be differentially affected by high amounts of signal modification. Results showed a significant effect of working memory capacity for speech intelligibility, and an interaction between working memory, amount of hearing loss and signal modification. Signal modification was the major predictor of quality ratings. These data add to the literature on hearing-aid processing and working memory by suggesting that the working memory-intelligibility effects may be related to aggregate signal fidelity, rather than on the specific signal manipulation. They also suggest that for individuals with low working memory capacity, sensorineural loss may be most appropriately addressed with wide-dynamic range compression and/or frequency compression parameters that maintain the fidelity of the signal envelope.

  11. Intelligence.

    Science.gov (United States)

    Sternberg, Robert J

    2012-03-01

    Intelligence is the ability to learn from experience and to adapt to, shape, and select environments. Intelligence as measured by (raw scores on) conventional standardized tests varies across the lifespan, and also across generations. Intelligence can be understood in part in terms of the biology of the brain-especially with regard to the functioning in the prefrontal cortex-and also correlates with brain size, at least within humans. Studies of the effects of genes and environment suggest that the heritability coefficient (ratio of genetic to phenotypic variation) is between .4 and .8, although heritability varies as a function of socioeconomic status and other factors. Racial differences in measured intelligence have been observed, but race is a socially constructed rather than biological variable, so such differences are difficult to interpret.

  12. Advances in signal processing and intelligent recognition systems

    CERN Document Server

    Gelbukh, Alexander; Mukhopadhyay, Jayanta

    2014-01-01

    This Edited Volume contains a selection of refereed and revised papers originally presented at the International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2014), March 13-15, 2014, Trivandrum, India. The program committee received 134 submissions from 11 countries. Each paper was peer reviewed by at least three or more independent referees of the program committee and the 52 papers were finally selected. The papers offer stimulating insights into Pattern Recognition, Machine Learning and Knowledge-Based Systems; Signal and Speech Processing; Image and Video Processing; Mobile Computing and Applications and Computer Vision. The book is directed to the researchers and scientists engaged in various field of signal processing and related areas.  

  13. Integrated Modeling and Intelligent Control Methods of Grinding Process

    Directory of Open Access Journals (Sweden)

    Jie-sheng Wang

    2013-01-01

    Full Text Available The grinding process is a typical complex nonlinear multivariable process with strongly coupling and large time delays. Based on the data-driven modeling theory, the integrated modeling and intelligent control method of grinding process is carried out in the paper, which includes the soft-sensor model of economic and technique indexes, the optimized set-point model utilizing case-based reasoning, and the self-tuning PID decoupling controller. For forecasting the key technology indicators (grinding granularity and mill discharge rate of grinding process, an adaptive soft-sensor modeling method based on wavelet neural network optimized by the improved shuffled frog leaping algorithm (ISFLA is proposed. Then, a set point optimization control strategy of grinding process based on case-based reasoning (CBR method is adopted to obtain the optimized velocity set-point of ore feed and pump water feed in the grinding process controlled loops. Finally, a self-tuning PID decoupling controller optimized is used to control the grinding process. Simulation results and industrial application experiments clearly show the feasibility and effectiveness of control methods and satisfy the real-time control requirements of the grinding process.

  14. Artificial intelligence and signal processing for infrastructure assessment

    Science.gov (United States)

    Assaleh, Khaled; Shanableh, Tamer; Yehia, Sherif

    2015-04-01

    The Ground Penetrating Radar (GPR) is being recognized as an effective nondestructive evaluation technique to improve the inspection process. However, data interpretation and complexity of the results impose some limitations on the practicality of using this technique. This is mainly due to the need of a trained experienced person to interpret images obtained by the GPR system. In this paper, an algorithm to classify and assess the condition of infrastructures utilizing image processing and pattern recognition techniques is discussed. Features extracted form a dataset of images of defected and healthy slabs are used to train a computer vision based system while another dataset is used to evaluate the proposed algorithm. Initial results show that the proposed algorithm is able to detect the existence of defects with about 77% success rate.

  15. 广播发射台智能巡检系统的设计与应用%Design and Application of Intelligent Inspection System at Radio Station

    Institute of Scientific and Technical Information of China (English)

    王铁英

    2016-01-01

    无线智能巡检系统是基于无线射频识别技术开发的系统应用,可以实现巡检点信息的记录和上传,对采集数据和信息进行统计分析。有利于提升发射台的巡检质量和水平,同时,也为检修维护工作提供准确的数据参考。%Wireless intelligent inspection system is based on radio frequency identiifcation (rifd) system application of the technology development, can realize checking point information record and upload, to collect data and information for statistical analysis. Is beneifcial to improve the quality and level of inspection of the radio station, at the same time, also provide accurate reference data for maintenance work.

  16. The brain as a distributed intelligent processing system: an EEG study.

    Directory of Open Access Journals (Sweden)

    Armando Freitas da Rocha

    Full Text Available BACKGROUND: Various neuroimaging studies, both structural and functional, have provided support for the proposal that a distributed brain network is likely to be the neural basis of intelligence. The theory of Distributed Intelligent Processing Systems (DIPS, first developed in the field of Artificial Intelligence, was proposed to adequately model distributed neural intelligent processing. In addition, the neural efficiency hypothesis suggests that individuals with higher intelligence display more focused cortical activation during cognitive performance, resulting in lower total brain activation when compared with individuals who have lower intelligence. This may be understood as a property of the DIPS. METHODOLOGY AND PRINCIPAL FINDINGS: In our study, a new EEG brain mapping technique, based on the neural efficiency hypothesis and the notion of the brain as a Distributed Intelligence Processing System, was used to investigate the correlations between IQ evaluated with WAIS (Wechsler Adult Intelligence Scale and WISC (Wechsler Intelligence Scale for Children, and the brain activity associated with visual and verbal processing, in order to test the validity of a distributed neural basis for intelligence. CONCLUSION: The present results support these claims and the neural efficiency hypothesis.

  17. Synthetic-Creative Intelligence and Psychometric Intelligence: Analysis of the Threshold Theory and Creative Process

    Science.gov (United States)

    Ferrando, Mercedes; Soto, Gloria; Prieto, Lola; Sáinz, Marta; Ferrándiz, Carmen

    2016-01-01

    There has been an increasing body of research to uncover the relationship between creativity and intelligence. This relationship usually has been examined using traditional measures of intelligence and seldom using new approaches (i.e. Ferrando et al. 2005). In this work, creativity is measured by tools developed based on Sternberg's successful…

  18. A functional tolerance model: an approach to automate the inspection process

    Directory of Open Access Journals (Sweden)

    R. Hunter

    2008-12-01

    Full Text Available Purpose: Purpose of this paper is the definition of a framework to describe the Technological ProductSpecifications (TPS and the information associated with the geometric dimensioning and tolerancing tointegrate the design concepts into a commercial inspection system.Design/methodology/approach: A functional tolerance model provides a complete framework to define thegeometric dimensioning and tolerancing and its relationship with the part geometry and the inspection process.This framework establishes a connection between a computer aided design and computer aided inspectionsystem throughout the exportation of the information associated to the dimensions and tolerance of the part intoa commercial CAI system.Findings: They are mainly focused on the definition of a framework that describes the relationship between theentities of dimensions and tolerances with the geometry of the part. The information imported to a CAI system allowsto develop the inspection process without the additional information provided by a physical drawing of the part.Research limitations/implications: They regard the limited access to commercial CAI system and to the lackof protocols of exchange of data associated to the tolerances of the part.Practical implications: They involve facilitation of the inspection process development. This implicationallows realizing the inspection process reducing the time spent to define the geometry to inspect and theparameters that must be controlled.Originality/value: The main value of this research is the development of a unique framework to extract theinformation related to the geometric dimensioning and tolerances and the geometry of the part in a commonmodel. This model provides a complete definition and representation of the entities, attributes and relationshipof design and inspection system.

  19. Intelligent sensor networks the integration of sensor networks, signal processing and machine learning

    CERN Document Server

    Hu, Fei

    2012-01-01

    Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, incl

  20. Reducing uncertainty in wind turbine blade health inspection with image processing techniques

    Science.gov (United States)

    Zhang, Huiyi

    Structural health inspection has been widely applied in the operation of wind farms to find early cracks in wind turbine blades (WTBs). Increased numbers of turbines and expanded rotor diameters are driving up the workloads and safety risks for site employees. Therefore, it is important to automate the inspection process as well as minimize the uncertainties involved in routine blade health inspection. In addition, crack documentation and trending is vital to assess rotor blade and turbine reliability in the 20 year designed life span. A new crack recognition and classification algorithm is described that can support automated structural health inspection of the surface of large composite WTBs. The first part of the study investigated the feasibility of digital image processing in WTB health inspection and defined the capability of numerically detecting cracks as small as hairline thickness. The second part of the study identified and analyzed the uncertainty of the digital image processing method. A self-learning algorithm was proposed to recognize and classify cracks without comparing a blade image to a library of crack images. The last part of the research quantified the uncertainty in the field conditions and the image processing methods.

  1. Methods of In-Process On-Machine Auto-Inspection of Dimensional Error and Auto-Compensation of Tool Wear for Precision Turning

    Directory of Open Access Journals (Sweden)

    Shih-Ming Wang

    2016-04-01

    Full Text Available The purpose of this study is mainly to develop an information and communication technology (ICT-based intelligent dimension inspection and tool wear compensation method for precision tuning. With the use of vibration signal processing/characteristics analysis technology combined with ICT, statistical analysis, and diagnosis algorithms, the method can be used to proceed with an on-line dimension inspection and on-machine tool wear auto-compensation for the turning process. Meanwhile, the method can also monitor critical tool life to identify the appropriate time for cutter replacement to reduce machining costs and improve the production efficiency of the turning process. Compared to the traditional ways, the method offers the advantages of requiring less manpower, and having better production efficiency, high tool life, fewer scrap parts, and low costs for inspection instruments. Algorithms and diagnosis threshold values for the detection, cutter wear compensation, and cutter life monitoring were developed. In addition, a bilateral communication module utilizing FANUC Open CNC (computer numerical control Application Programming Interface (API Spec was developed for the on-line extraction of instant NC (numerical control codes for monitoring and transmit commands to CNC controllers for cutter wear compensation. With use of local area networks (LAN to deliver the detection and correction information, the proposed method was able to remotely control the on-machine monitoring process and upload the machining and inspection data to a remote central platform for further production optimization. The verification experiments were conducted on a turning production line. The results showed that the system provided 93% correction for size inspection and 100% correction for cutter wear compensation.

  2. Parameter tuning of PVD process based on artificial intelligence technique

    Science.gov (United States)

    Norlina, M. S.; Diyana, M. S. Nor; Mazidah, P.; Rusop, M.

    2016-07-01

    In this study, an artificial intelligence technique is proposed to be implemented in the parameter tuning of a PVD process. Due to its previous adaptation in similar optimization problems, genetic algorithm (GA) is selected to optimize the parameter tuning of the RF magnetron sputtering process. The most optimized parameter combination obtained from GA's optimization result is expected to produce the desirable zinc oxide (ZnO) thin film from the sputtering process. The parameters involved in this study were RF power, deposition time and substrate temperature. The algorithm was tested to optimize the 25 datasets of parameter combinations. The results from the computational experiment were then compared with the actual result from the laboratory experiment. Based on the comparison, GA had shown that the algorithm was reliable to optimize the parameter combination before the parameter tuning could be done to the RF magnetron sputtering machine. In order to verify the result of GA, the algorithm was also been compared to other well known optimization algorithms, which were, particle swarm optimization (PSO) and gravitational search algorithm (GSA). The results had shown that GA was reliable in solving this RF magnetron sputtering process parameter tuning problem. GA had shown better accuracy in the optimization based on the fitness evaluation.

  3. Advances in intelligent process-aware information systems concepts, methods, and technologies

    CERN Document Server

    Oberhauser, Roy; Reichert, Manfred

    2017-01-01

    This book provides a state-of-the-art perspective on intelligent process-aware information systems and presents chapters on specific facets and approaches applicable to such systems. Further, it highlights novel advances and developments in various aspects of intelligent process-aware information systems and business process management systems. Intelligence capabilities are increasingly being integrated into or created in many of today’s software products and services. Process-aware information systems provide critical computing infrastructure to support the various processes involved in the creation and delivery of business products and services. Yet the integration of intelligence capabilities into process-aware information systems is a non-trivial yet necessary evolution of these complex systems. The book’s individual chapters address adaptive process management, case management processes, autonomically-capable processes, process-oriented information logistics, process recommendations, reasoning over ...

  4. FDY检验流程优化%OPTIMIZATION OF FDY INSPECTION PROCESS

    Institute of Scientific and Technical Information of China (English)

    倪雷英; 沈园芬; 王晓琴; 朱大玲

    2014-01-01

    The original FDY inspection process is optimized. The results shows that after process optimization, the appearance inspection improved markedly and the customer complaints about FDY product quality has been reduced. It successfully solved the phenomenon of visual inspecting congestion and leaving hose machine unused.%对原有FDY检验流程进行优化,结果显示,经流程优化后, FDY产品的外观漏检情况明显好转,减少客户关于FDY产品质量的投诉,成功解决现场外检堵丝、织袜空闲的现象。

  5. Exploiting pupils' multiple intelligences in the process of teaching English vocabulary

    OpenAIRE

    KUTTENBERGOVÁ, Lucie

    2013-01-01

    The diploma thesis is devoted to exploiting pupils' multiple intelligences in the process of learning English vocabulary. The theoretical part deals with the theory of vocabulary acquisition and the description of Howard Gardner´s multiple intelligences. The practical part deals with the application of these theories into lessons where activities connected with multiple intelligences will be used for new vocabulary teaching. The aim of this diploma thesis is to find out which types of intelli...

  6. Developmental Process Model for the Java Intelligent Tutoring System

    Science.gov (United States)

    Sykes, Edward

    2007-01-01

    The Java Intelligent Tutoring System (JITS) was designed and developed to support the growing trend of Java programming around the world. JITS is an advanced web-based personalized tutoring system that is unique in several ways. Most programming Intelligent Tutoring Systems require the teacher to author problems with corresponding solutions. JITS,…

  7. An Evaluation of Signal Processing Tools for Improving Phased Array Ultrasonic Weld Inspection

    Energy Technology Data Exchange (ETDEWEB)

    Ramuhalli, Pradeep; Cinson, Anthony D.; Crawford, Susan L.; Harris, Robert V.; Diaz, Aaron A.; Anderson, Michael T.

    2011-03-24

    Cast austenitic stainless steel (CASS) commonly used in U.S. nuclear power plants is a coarse-grained, elastically anisotropic material. The coarse-grained nature of CASS makes ultrasonic inspection of in-service components difficult. Recently, low-frequency phased array ultrasound has emerged as a candidate for the CASS piping weld inspection. However, issues such as low signal-to-noise ratio and difficulty in discriminating between flaw and non-flaw signals remain. This paper discusses the evaluation of a number of signal processing algorithms for improving flaw detection in CASS materials. The full paper provides details of the algorithms being evaluated, along with preliminary results.

  8. An Analytic Hierarchy Process for School Quality and Inspection: Model Development and Application

    Science.gov (United States)

    Al Qubaisi, Amal; Badri, Masood; Mohaidat, Jihad; Al Dhaheri, Hamad; Yang, Guang; Al Rashedi, Asma; Greer, Kenneth

    2016-01-01

    Purpose: The purpose of this paper is to develop an analytic hierarchy planning-based framework to establish criteria weights and to develop a school performance system commonly called school inspections. Design/methodology/approach: The analytic hierarchy process (AHP) model uses pairwise comparisons and a measurement scale to generate the…

  9. An Analytic Hierarchy Process for School Quality and Inspection: Model Development and Application

    Science.gov (United States)

    Al Qubaisi, Amal; Badri, Masood; Mohaidat, Jihad; Al Dhaheri, Hamad; Yang, Guang; Al Rashedi, Asma; Greer, Kenneth

    2016-01-01

    Purpose: The purpose of this paper is to develop an analytic hierarchy planning-based framework to establish criteria weights and to develop a school performance system commonly called school inspections. Design/methodology/approach: The analytic hierarchy process (AHP) model uses pairwise comparisons and a measurement scale to generate the…

  10. Evaluating the effectiveness of a priori information on process measures in a virtual reality inspection task

    Directory of Open Access Journals (Sweden)

    Shannon Raye Bowling

    2010-06-01

    Full Text Available 72 1024x768 Normal 0 false false false Due to the nature of the complexity of the aircraft maintenance industry, much emphasis has been placed on improving aircraft inspection performance. One proven technique for improving inspection performance is the use of training. Several strategies have been implemented for training, one of which is giving feedforward information. The use of a priori (feedforward information is known to positively affect inspection performance (Ernst and Yovits, 1972; Long and Rourke, 1989; McKernan, 1989; Gramopadhye et al., 1997.  This information can consist of knowledge about defect characteristics (types, severity/criticality, and location and the probability of occurrence. Although several studies have been conducted that demonstrate the usefulness of feedforward as a training strategy, there are certain research issues that need to be addressed. This study evaluates the effects of feedforward information on process measures in a simulated 3-dimensional environment (aircraft cargo bay by the use of virtual reality.

  11. Data Processing Languages for Business Intelligence. SQL vs. R

    Directory of Open Access Journals (Sweden)

    Marin FOTACHE

    2016-01-01

    Full Text Available As data centric approach, Business Intelligence (BI deals with the storage, integration, processing, exploration and analysis of information gathered from multiple sources in various formats and volumes. BI systems are generally synonymous to costly, complex platforms that require vast organizational resources. But there is also an-other face of BI, that of a pool of data sources, applications, services developed at different times using different technologies. This is “democratic” BI or, in some cases, “fragmented”, “patched” (or “chaotic” BI. Fragmentation creates not only integration problems, but also supports BI agility as new modules can be quickly developed. Among various languages and tools that cover large extents of BI activities, SQL and R are instrumental for both BI platform developers and BI users. SQL and R address both monolithic and democratic BI. This paper compares essential data processing features of two languages, identifying similarities and differences among them and also their strengths and limits.

  12. Simulation research on the process of large scale ship plane segmentation intelligent workshop

    Science.gov (United States)

    Xu, Peng; Liao, Liangchuang; Zhou, Chao; Xue, Rui; Fu, Wei

    2017-04-01

    Large scale ship plane segmentation intelligent workshop is a new thing, and there is no research work in related fields at home and abroad. The mode of production should be transformed by the existing industry 2.0 or part of industry 3.0, also transformed from "human brain analysis and judgment + machine manufacturing" to "machine analysis and judgment + machine manufacturing". In this transforming process, there are a great deal of tasks need to be determined on the aspects of management and technology, such as workshop structure evolution, development of intelligent equipment and changes in business model. Along with them is the reformation of the whole workshop. Process simulation in this project would verify general layout and process flow of large scale ship plane section intelligent workshop, also would analyze intelligent workshop working efficiency, which is significant to the next step of the transformation of plane segmentation intelligent workshop.

  13. Subclinical Obsessive-Compulsive Symptoms, Cognitive Processes, School Achievement, and Intelligence-Achievement Relationship in Adolescents

    Science.gov (United States)

    Malakar, Partha; Basu, Jayanti

    2017-01-01

    The aim of the study was to determine whether the general intelligence, cognitive processes, school achievement, and intelligence-achievement relationship of adolescents with subclinical levels of obsessive-compulsive symptoms differed from those of their normal counterparts. From an initial large pool of 14-year-old Bengali students in eighth…

  14. Subclinical Obsessive-Compulsive Symptoms, Cognitive Processes, School Achievement, and Intelligence-Achievement Relationship in Adolescents

    Science.gov (United States)

    Malakar, Partha; Basu, Jayanti

    2017-01-01

    The aim of the study was to determine whether the general intelligence, cognitive processes, school achievement, and intelligence-achievement relationship of adolescents with subclinical levels of obsessive-compulsive symptoms differed from those of their normal counterparts. From an initial large pool of 14-year-old Bengali students in eighth…

  15. A fuzzy neural network for intelligent data processing

    Science.gov (United States)

    Xie, Wei; Chu, Feng; Wang, Lipo; Lim, Eng Thiam

    2005-03-01

    In this paper, we describe an incrementally generated fuzzy neural network (FNN) for intelligent data processing. This FNN combines the features of initial fuzzy model self-generation, fast input selection, partition validation, parameter optimization and rule-base simplification. A small FNN is created from scratch -- there is no need to specify the initial network architecture, initial membership functions, or initial weights. Fuzzy IF-THEN rules are constantly combined and pruned to minimize the size of the network while maintaining accuracy; irrelevant inputs are detected and deleted, and membership functions and network weights are trained with a gradient descent algorithm, i.e., error backpropagation. Experimental studies on synthesized data sets demonstrate that the proposed Fuzzy Neural Network is able to achieve accuracy comparable to or higher than both a feedforward crisp neural network, i.e., NeuroRule, and a decision tree, i.e., C4.5, with more compact rule bases for most of the data sets used in our experiments. The FNN has achieved outstanding results for cancer classification based on microarray data. The excellent classification result for Small Round Blue Cell Tumors (SRBCTs) data set is shown. Compared with other published methods, we have used a much fewer number of genes for perfect classification, which will help researchers directly focus their attention on some specific genes and may lead to discovery of deep reasons of the development of cancers and discovery of drugs.

  16. Detection, information fusion, and temporal processing for intelligence in recognition

    Energy Technology Data Exchange (ETDEWEB)

    Casasent, D. [Carnegie Mellon Univ., Pittsburgh, PA (United States)

    1996-12-31

    The use of intelligence in vision recognition uses many different techniques or tools. This presentation discusses several of these techniques for recognition. The recognition process is generally separated into several steps or stages when implemented in hardware, e.g. detection, segmentation and enhancement, and recognition. Several new distortion-invariant filters, biologically-inspired Gabor wavelet filter techniques, and morphological operations that have been found very useful for detection and clutter rejection are discussed. These are all shift-invariant operations that allow multiple object regions of interest in a scene to be located in parallel. We also discuss new algorithm fusion concepts by which the results from different detection algorithms are combined to reduce detection false alarms; these fusion methods utilize hierarchical processing and fuzzy logic concepts. We have found this to be most necessary, since no single detection algorithm is best for all cases. For the final recognition stage, we describe a new method of representing all distorted versions of different classes of objects and determining the object class and pose that most closely matches that of a given input. Besides being efficient in terms of storage and on-line computations required, it overcomes many of the problems that other classifiers have in terms of the required training set size, poor generalization with many hidden layer neurons, etc. It is also attractive in its ability to reject input regions as clutter (non-objects) and to learn new object descriptions. We also discuss its use in processing a temporal sequence of input images of the contents of each local region of interest. We note how this leads to robust results in which estimation efforts in individual frames can be overcome. This seems very practical, since in many scenarios a decision need not be made after only one frame of data, since subsequent frames of data enter immediately in sequence.

  17. Root crack sizing using phased array inspections and autoregressive spectral extrapolation signal processing

    Science.gov (United States)

    Caldwell, J.; Shakibi, B.; Moles, M.; Sinclair, A. N.

    2013-01-01

    Phased array inspection was conducted on a V-butt welded steel sample with multiple shallow flaws of varying depths. The inspection measurements were processed using Wiener filtering and Autoregressive Spectral Extrapolation (AS) to enhance the signals. Phased array inspections were conducted using multiple phased array probes of varying nominal central frequencies (2.25, 4, 5 and 10 MHz). This paper describes the measured results, which show high accuracy, typically in the range of 0.1-0.2 mm. The results concluded that: 1. There was no statistical difference between the calculated flaw depths from phased array inspections at different flaw tip angles. 2. There was no statistical difference in flaw depths calculated using phased array data collected from either side of the weld. 3. Flaws with depths less than the estimated probe signal shear wavelength could not be sized. 4. Finally, there was no statistical difference in the calculated flaw depths using phased array probes with different sampling frequencies and destructive measurements of the flaws.

  18. Oxford Summer School "Intelligent Front-End Signal Processing for Frontier Exploitation in Research and Industry"

    CERN Document Server

    2013-01-01

    Interdisciplinary Summer School on Intelligent Front-End Signal Processing for Frontier Exploitation in Research and Industry. For details about the school programme and registration, please visit: http://www.physics.ox.ac.uk/INFIERI2013/

  19. Interated Intelligent Industrial Process Sensing and Control: Applied to and Demonstrated on Cupola Furnaces

    Energy Technology Data Exchange (ETDEWEB)

    Mohamed Abdelrahman; roger Haggard; Wagdy Mahmoud; Kevin Moore; Denis Clark; Eric Larsen; Paul King

    2003-02-12

    The final goal of this project was the development of a system that is capable of controlling an industrial process effectively through the integration of information obtained through intelligent sensor fusion and intelligent control technologies. The industry of interest in this project was the metal casting industry as represented by cupola iron-melting furnaces. However, the developed technology is of generic type and hence applicable to several other industries. The system was divided into the following four major interacting components: 1. An object oriented generic architecture to integrate the developed software and hardware components @. Generic algorithms for intelligent signal analysis and sensor and model fusion 3. Development of supervisory structure for integration of intelligent sensor fusion data into the controller 4. Hardware implementation of intelligent signal analysis and fusion algorithms

  20. SmartWeld/SmartProcess - intelligent model based system for the design and validation of welding processes

    Energy Technology Data Exchange (ETDEWEB)

    Mitchner, J.

    1996-04-01

    Diagrams are presented on an intelligent model based system for the design and validation of welding processes. Key capabilities identified include `right the first time` manufacturing, continuous improvement, and on-line quality assurance.

  1. Original article Functioning of memory and attention processes in children with intelligence below average

    Directory of Open Access Journals (Sweden)

    Aneta Rita Borkowska

    2014-05-01

    Full Text Available BACKGROUND The aim of the research was to assess memorization and recall of logically connected and unconnected material, coded graphically and linguistically, and the ability to focus attention, in a group of children with intelligence below average, compared to children with average intelligence. PARTICIPANTS AND PROCEDURE The study group included 27 children with intelligence below average. The control group consisted of 29 individuals. All of them were examined using the authors’ experimental trials and the TUS test (Attention and Perceptiveness Test. RESULTS Children with intelligence below average memorized significantly less information contained in the logical material, demonstrated lower ability to memorize the visual material, memorized significantly fewer words in the verbal material learning task, achieved lower results in such indicators of the visual attention process pace as the number of omissions and mistakes, and had a lower pace of perceptual work, compared to children with average intelligence. CONCLUSIONS The results confirm that children with intelligence below average have difficulties with memorizing new material, both logically connected and unconnected. The significantly lower capacity of direct memory is independent of modality. The results of the study on the memory process confirm the hypothesis about lower abilities of children with intelligence below average, in terms of concentration, work pace, efficiency and perception.

  2. Intelligent Foreign Particle Inspection Machine for Injection Liquid Examination Based on Modified Pulse-Coupled Neural Networks

    Science.gov (United States)

    Ge, Ji; Wang, YaoNan; Zhou, BoWen; Zhang, Hui

    2009-01-01

    A biologically inspired spiking neural network model, called pulse-coupled neural networks (PCNN), has been applied in an automatic inspection machine to detect visible foreign particles intermingled in glucose or sodium chloride injection liquids. Proper mechanisms and improved spin/stop techniques are proposed to avoid the appearance of air bubbles, which increases the algorithms' complexity. Modified PCNN is adopted to segment the difference images, judging the existence of foreign particles according to the continuity and smoothness properties of their moving traces. Preliminarily experimental results indicate that the inspection machine can detect the visible foreign particles effectively and the detection speed, accuracy and correct detection rate also satisfying the needs of medicine preparation. PMID:22412318

  3. The role of across-frequency envelope processing for speech intelligibility

    DEFF Research Database (Denmark)

    Chabot-Leclerc, Alexandre; Jørgensen, Søren; Dau, Torsten

    2013-01-01

    speech intelligibility models, the spectro-temporal modulation index (STMI; Elhilali et al., 2003) and the speech-based envelope power spectrum model (sEPSM; Jørgensen and Dau, 2011) were evaluated in conditions of noisy speech subjected to reverberation, and to nonlinear distortions through either......Speech intelligibility models consist of a preprocessing part that transforms the stimuli into some internal (auditory) representation, and a decision metric that quantifies effects of transmission channel, speech interferers, and auditory processing on the speech intelligibility. Here, two recent...

  4. The role of across-frequency envelope processing for speech intelligibility

    DEFF Research Database (Denmark)

    Chabot-Leclerc, Alexandre; Jørgensen, Søren; Dau, Torsten

    2013-01-01

    speech intelligibility models, the spectro-temporal modulation index [STMI; Elhilali et al. (2003)] and the speech-based envelope power spectrum model [sEPSM; Jørgensen and Dau (2011)] were evaluated in conditions of noisy speech subjected to reverberation, and to nonlinear distortions through either......Speech intelligibility models consist of a preprocessing part that transforms the stimuli into some internal (auditory) representation, and a decision metric that quantifies effects of transmission channel, speech interferers, and auditory processing on the speech intelligibility. Here, two recent...

  5. EMAT weld inspection and weld machine diagnostic system for continuous coil processing lines

    Science.gov (United States)

    Latham, Wayne M.; MacLauchlan, Daniel T.; Geier, Dan P.; Lang, Dennis D.

    1996-11-01

    Weld breaks of steel coil during cold rolling and continuous pickling operations are a significant source of lost productivity and product yield. Babcock and Wilcox Innerspec Technologies has developed a weld process control system which monitors the key variables of the welding process and determines the quality of the welds generated by flash butt welding equipment. This system is known as the Temate 2000 Automated Flash Butt Weld Inspection and Weld Machine Diagnostic System. The Temate 2000 system utilizes electro- magnetic acoustic transducer (EMAT) technology as the basis for performing on-line, real-time, nondestructive weld quality evaluation. This technique accurately detects voids, laps, misalignment and over/under trim conditions in the weld. Results of the EMAT weld inspection are immediately presented to the weld machine operator for disposition. Welding process variables such as voltage, current, platen movements and upset pressures are monitored and collected with the high speed data acquisition system. This data is processed and presented in real-time display to indicate useful welding process information such as platen crabbing, upset force, peak upset current, and many others. Alarming for each variable is provided and allows detailed maintenance reports and summary information to be generated. All weld quality and process parameter data are stored, traceable to each unique weld, and available for post process evaluation. Installation of the Temate 2000 system in a major flat rolled steel mill has contributed to near elimination of weld breakage and increased productivity at this facility.

  6. Effects of Noise and Speech Intelligibility on Listener Comprehension and Processing Time of Korean-Accented English

    Science.gov (United States)

    Wilson, Erin O'Brien; Spaulding, Tammie J.

    2010-01-01

    Purpose: This study evaluated the effects of noise and speech intelligibility on the processing of speech produced from native English; high-intelligibility, Korean-accented English; and moderate-intelligibility, Korean-accented English speakers. Method: Both listener comprehension, determined by accuracy judgment on true/false sentences, and…

  7. STEADY-STATE HIERARCHICAL INTELLIGENT CONTROL OF LARGE-SCALE INDUSTRIAL PROCESSES

    Institute of Scientific and Technical Information of China (English)

    WAN Baiwu

    2004-01-01

    This paper considers the fourth stage of development of hierarchical control ofindustrial processes to the intelligent control and optimization stage, and reviews what theauthor and his Group have been investigating for the past decade in the on-line steady-state hierarchical intelligent control of large-scale industrial processes (LSIP)This papergives a definition of intelligent control of large-scale systems first, and then reviews the useof neural networks for identification and optimization, the use of expert systems to solvesome kinds of hierarchical multi-objective optimization problems by an intelligent decisionunit (ID), the use of fuzzy logic control, and the use of iterative learning controlSeveralimplementation examples are introducedThis paper reviews other main achievements ofthe Group alsoFinally this paper gives a perspective of future development.

  8. Mothers' daily person and process praise: implications for children's theory of intelligence and motivation.

    Science.gov (United States)

    Pomerantz, Eva M; Kempner, Sara G

    2013-11-01

    This research examined if mothers' day-to-day praise of children's success in school plays a role in children's theory of intelligence and motivation. Participants were 120 children (mean age = 10.23 years) and their mothers who took part in a 2-wave study spanning 6 months. During the first wave, mothers completed a 10-day daily interview in which they reported on their use of person (e.g., "You are smart") and process (e.g., "You tried hard") praise. Children's entity theory of intelligence and preference for challenge in school were assessed with surveys at both waves. Mothers' person, but not process, praise was predictive of children's theory of intelligence and motivation: The more person praise mothers used, the more children subsequently held an entity theory of intelligence and avoided challenge over and above their earlier functioning on these dimensions.

  9. Processing of microencapsulated dyes for the visual inspection of fibre reinforced plastics

    Energy Technology Data Exchange (ETDEWEB)

    Hopmann, Ch., E-mail: kerschbaum@ikv.rwth-aachen.de; Kerschbaum, M., E-mail: kerschbaum@ikv.rwth-aachen.de; Küsters, K., E-mail: kerschbaum@ikv.rwth-aachen.de [Institute of Plastics Processing at RWTH Aachen University (IKV), Pontstrasse 49, 52064 Aachen (Germany)

    2014-05-15

    The evaluation of damages caused during processing, assembly or usage of fibre reinforced plastics is still a challenge. The use of inspection technology like ultrasonic scanning enables a detailed damage analysis but requires high investments and trained staff. Therefore, the visual inspection method is widely used. A drawback of this method is the difficult identification of barely visible damages, which can already be detrimental for the structural integrity. Therefore an approach is undertaken to integrate microencapsulated dyes into the laminates of fibre reinforced plastic parts to highlight damages on the surface. In case of a damage, the microcapsules rupture which leads to a release of the dye and a visible bruise on the part surface. To enable a wide application spectrum for this technology the microcapsules must be processable without rupturing with established manufacturing processes for fibre reinforced plastics. Therefore the incorporation of microcapsules in the filament winding, prepreg autoclave and resin transfer moulding (RTM) process is investigated. The results show that the use of a carrier medium is a feasible way to incorporate the microcapsules into the laminate for all investigated manufacturing processes. Impact testing of these laminates shows a bruise formation on the specimen surface which correlates with the impact energy level. This indicates a microcapsule survival during processing and shows the potential of this technology for damage detection and characterization.

  10. Processing of microencapsulated dyes for the visual inspection of fibre reinforced plastics

    Science.gov (United States)

    Hopmann, Ch.; Kerschbaum, M.; Küsters, K.

    2014-05-01

    The evaluation of damages caused during processing, assembly or usage of fibre reinforced plastics is still a challenge. The use of inspection technology like ultrasonic scanning enables a detailed damage analysis but requires high investments and trained staff. Therefore, the visual inspection method is widely used. A drawback of this method is the difficult identification of barely visible damages, which can already be detrimental for the structural integrity. Therefore an approach is undertaken to integrate microencapsulated dyes into the laminates of fibre reinforced plastic parts to highlight damages on the surface. In case of a damage, the microcapsules rupture which leads to a release of the dye and a visible bruise on the part surface. To enable a wide application spectrum for this technology the microcapsules must be processable without rupturing with established manufacturing processes for fibre reinforced plastics. Therefore the incorporation of microcapsules in the filament winding, prepreg autoclave and resin transfer moulding (RTM) process is investigated. The results show that the use of a carrier medium is a feasible way to incorporate the microcapsules into the laminate for all investigated manufacturing processes. Impact testing of these laminates shows a bruise formation on the specimen surface which correlates with the impact energy level. This indicates a microcapsule survival during processing and shows the potential of this technology for damage detection and characterization.

  11. Production inventory policies for defective items with inspection errors, sales return, imperfect rework process and backorders

    Science.gov (United States)

    Jaggi, Chandra K.; Khanna, Aditi; Kishore, Aakanksha

    2016-03-01

    In order to sustain the challenges of maintaining good quality and perfect screening process, rework process becomes a rescue to compensate for the imperfections present in the production system. The proposed model attempts to explore the existing real-life situation with a more practical approach by incorporating the concept of imperfect rework as this occurs as an unavoidable problem to the firm due to irreparable disorders even in the reworked items. Hence, a production inventory model is formulated here to study the combined effect of imperfect quality items, faulty inspection process and imperfect rework process on the optimal production quantity and optimal backorder level. An analytical method is employed to maximize the expected total profit per unit time. Moreover, the results of several previous research articles namely Chiu et al (2006), Chiu et al (2005), Salameh and Hayek (2001), and classical EPQ with shortages are deduced as special cases. To demonstrate the applicability of the model, and to observe the effects of key parameters on the optimal replenishment policy, a numerical example along with a comprehensive sensitivity analysis has been presented. The pertinence of the model can be found in most of the manufacturing industries like textile, electronics, furniture, footwear, plastics etc. A production lot size model has been explored for defectives items with inspection errors and an imperfect rework process.

  12. 7 CFR 52.38b - Statistical sampling procedures for on-line inspection by attributes of processed fruits and...

    Science.gov (United States)

    2010-01-01

    ... PROCESSED FRUITS AND VEGETABLES, PROCESSED PRODUCTS THEREOF, AND CERTAIN OTHER PROCESSED FOOD PRODUCTS 1... by attributes of processed fruits and vegetables. 52.38b Section 52.38b Agriculture Regulations of...-line inspection by attributes of processed fruits and vegetables. (a) General. The Cumulative...

  13. A Study on Pre-processing Algorithms for Metal Parts Inspection

    Directory of Open Access Journals (Sweden)

    Haider Sh. Hashim

    2011-06-01

    Full Text Available Pre-processing is very useful in a variety of situations since it helps to suppress information that is not related to the exact image processing or analysis task. Mathematical morphology is used for analysis, understanding and image processing. It is an influential method in the geometric morphological analysis and image understanding. It has befallen a new theory in the digital image processing domain. Edges detection and noise reduction are a crucial and very important pre-processing step. The classical edge detection methods and filtering are less accurate in detecting complex edge and filtering various types of noise. This paper proposed some useful mathematic morphological techniques to detect edge and to filter noise in metal parts image. The experimental result showed that the proposed algorithm helps to increase accuracy of metal parts inspection system.

  14. Cognitive and emotional demands of black humour processing: the role of intelligence, aggressiveness and mood.

    Science.gov (United States)

    Willinger, Ulrike; Hergovich, Andreas; Schmoeger, Michaela; Deckert, Matthias; Stoettner, Susanne; Bunda, Iris; Witting, Andrea; Seidler, Melanie; Moser, Reinhilde; Kacena, Stefanie; Jaeckle, David; Loader, Benjamin; Mueller, Christian; Auff, Eduard

    2017-05-01

    Humour processing is a complex information-processing task that is dependent on cognitive and emotional aspects which presumably influence frame-shifting and conceptual blending, mental operations that underlie humour processing. The aim of the current study was to find distinctive groups of subjects with respect to black humour processing, intellectual capacities, mood disturbance and aggressiveness. A total of 156 adults rated black humour cartoons and conducted measurements of verbal and nonverbal intelligence, mood disturbance and aggressiveness. Cluster analysis yields three groups comprising following properties: (1) moderate black humour preference and moderate comprehension; average nonverbal and verbal intelligence; low mood disturbance and moderate aggressiveness; (2) low black humour preference and moderate comprehension; average nonverbal and verbal intelligence, high mood disturbance and high aggressiveness; and (3) high black humour preference and high comprehension; high nonverbal and verbal intelligence; no mood disturbance and low aggressiveness. Age and gender do not differ significantly, differences in education level can be found. Black humour preference and comprehension are positively associated with higher verbal and nonverbal intelligence as well as higher levels of education. Emotional instability and higher aggressiveness apparently lead to decreased levels of pleasure when dealing with black humour. These results support the hypothesis that humour processing involves cognitive as well as affective components and suggest that these variables influence the execution of frame-shifting and conceptual blending in the course of humour processing.

  15. Design of mobile intelligent tour-inspection system for power equipment%基于移动终端的电力设备智能巡检系统设计

    Institute of Scientific and Technical Information of China (English)

    吴浩鹏; 计蕴容; 李刚

    2016-01-01

    电力设备巡检是保障电力系统安全运行的重要工作,巡检的质量和效率又与巡检模式密切相关。分析了电力设备巡检工作的现状及存在的问题,介绍一种基于移动终端的电力设备智能巡检系统。系统采用了无线通信、二维码扫描、GPS定位以及Web Service等前沿技术,并通过移动互联网实现数据传输。该系统在提高电力设备巡检工作的效率、质量以及电力企业的管理水平的同时,有效地扩大了智能巡检的普及性,对电力系统的安全运行具有现实意义。%Power equipment tour-inspection plays an important role in keeping the power system working safely and steadily, and the quality and efficiency of inspection is closely related to the inspection mode. This paper analyzes the the current situation and existing problems of power equipment tour-inspection, and proposes a mobile intelligent tour-inspection system. The system uses the technologies of wireless communications, two-dimensional code scanning, GPS positioning, Web service and other cutting-edge technologies, and transfers the data via Mobile Internet. The system improves the efficiency and quality of power equipment inspection, and the management level of electric power enterprise, at the same time, effectively expanded the popularity of intelligent tour-inspection, and has practical significance to the safe operation of electric power system.

  16. Intelligent Automated Process Planning and Code Generation for Computer-Controlled Inspection

    Science.gov (United States)

    1994-01-01

    rx)) (setf x2 (multiply-vector-and- matriz x2 rz)) Figure 24 shows how coordinate frame xyz is rotated into its setup orientation by three ordered... Boston , MA: Kluwer Academic Press. LeClair, Steven R., 1991. "The Rapid Design System: Memory-Driven Feature- Based Design," Proceedings of the 1991...Generation for PCB Assembly," Manufacturing Review, 4, 3, 214-224. Takefuji, Yoshiyasu, 1992. Neural Network Parallel Computing. Boston . MA: Kluwer

  17. Business intelligence

    Directory of Open Access Journals (Sweden)

    Cebotarean Elena

    2011-02-01

    Full Text Available Business intelligence (BI refers to computer-based techniques used in spotting, digging-out, and analyzing business data, such as sales revenue by products and/or departments, or by associated costs and incomes. BI technologies provide historical, current, and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, business performance management, benchmarking, text mining, and predictive analytics. Business intelligence aims to support better business decision-making. Thus a BI system can be called a decision support system (DSS. Though the term business intelligence is sometimes used as a synonym for competitive intelligence, because they both support decision making, BI uses technologies, processes, and applications to analyze mostly internal, structured data and business processes while competitive intelligence gathers, analyzes and disseminates information with a topical focus on company competitors. Business intelligence understood broadly can include the subset of competitive intelligence.

  18. Automated Signal Processing Applied to Volatile-Based Inspection of Greenhouse Crops

    Directory of Open Access Journals (Sweden)

    Eldert van Henten

    2010-07-01

    Full Text Available Gas chromatograph–mass spectrometers (GC-MS have been used and shown utility for volatile-based inspection of greenhouse crops. However, a widely recognized difficulty associated with GC-MS application is the large and complex data generated by this instrument. As a consequence, experienced analysts are often required to process this data in order to determine the concentrations of the volatile organic compounds (VOCs of interest. Manual processing is time-consuming, labour intensive and may be subject to errors due to fatigue. The objective of this study was to assess whether or not GC-MS data can also be automatically processed in order to determine the concentrations of crop health associated VOCs in a greenhouse. An experimental dataset that consisted of twelve data files was processed both manually and automatically to address this question. Manual processing was based on simple peak integration while the automatic processing relied on the algorithms implemented in the MetAlignTM software package. The results of automatic processing of the experimental dataset resulted in concentrations similar to that after manual processing. These results demonstrate that GC-MS data can be automatically processed in order to accurately determine the concentrations of crop health associated VOCs in a greenhouse. When processing GC-MS data automatically, noise reduction, alignment, baseline correction and normalisation are required.

  19. Intelligent techniques in signal processing for multimedia security

    CERN Document Server

    Santhi, V

    2017-01-01

    This book proposes new algorithms to ensure secured communications and prevent unauthorized data exchange in secured multimedia systems. Focusing on numerous applications’ algorithms and scenarios, it offers an in-depth analysis of data hiding technologies including watermarking, cryptography, encryption, copy control, and authentication. The authors present a framework for visual data hiding technologies that resolves emerging problems of modern multimedia applications in several contexts including the medical, healthcare, education, and wireless communication networking domains. Further, it introduces several intelligent security techniques with real-time implementation. As part of its comprehensive coverage, the book discusses contemporary multimedia authentication and fingerprinting techniques, while also proposing personal authentication/recognition systems based on hand images, surveillance system security using gait recognition, face recognition under restricted constraints such as dry/wet face condi...

  20. The remarkable cell: Intelligently designed or by evolutionary process?

    Directory of Open Access Journals (Sweden)

    Mark Pretorius

    2013-02-01

    Full Text Available The objective of this article was to deal with the challenging theme of the Origin of Life. Science has been arguing the when and how of the beginning of life for centuries. It is a subject which remains perplexing despite all the technological advances made in science. The first part of the article dealt with the idea of a universe and earth divinely created to sustain life. The second part dealt with the premise that the first life forms were the miraculous work of an intelligent designer, which is revealed by the sophisticated and intricate design of these first life forms. The article concluded with an explanation that these life forms are in stark contrast to the idea of a random Darwinian type evolution for life�s origin, frequently referred to as abiogenesis or spontaneous generation.

  1. Towards a New Approach of the Economic Intelligence Process: Basic Concepts, Analysis Methods and Informational Tools

    Directory of Open Access Journals (Sweden)

    Sorin Briciu

    2009-04-01

    Full Text Available One of the obvious trends in current business environment is the increased competition. In this context, organizations are becoming more and more aware of the importance of knowledge as a key factor in obtaining competitive advantage. A possible solution in knowledge management is Economic Intelligence (EI that involves the collection, evaluation, processing, analysis, and dissemination of economic data (about products, clients, competitors, etc. inside organizations. The availability of massive quantities of data correlated with advances in information and communication technology allowing for the filtering and processing of these data provide new tools for the production of economic intelligence.The research is focused on innovative aspects of economic intelligence process (models of analysis, activities, methods and informational tools and is providing practical guidelines for initiating this process. In this paper, we try: (a to contribute to a coherent view on economic intelligence process (approaches, stages, fields of application; b to describe the most important models of analysis related to this process; c to analyze the activities, methods and tools associated with each stage of an EI process.

  2. Automated visual inspection of moving custom parts

    CSIR Research Space (South Africa)

    Davrajh, S

    2008-01-01

    Full Text Available to integrate vision, sensor articulation, and control systems. The apparatus was tested in a Computer Integrated Manufacturing (CIM) cell to quantify system performance. Intelligence was incorporated into the inspection routine by performing visual inspection...

  3. LINEAR LAYER AND GENERALIZED REGRESSION COMPUTATIONAL INTELLIGENCE MODELS FOR PREDICTING SHELF LIFE OF PROCESSED CHEESE

    Directory of Open Access Journals (Sweden)

    S. Goyal

    2012-03-01

    Full Text Available This paper highlights the significance of computational intelligence models for predicting shelf life of processed cheese stored at 7-8 g.C. Linear Layer and Generalized Regression models were developed with input parameters: Soluble nitrogen, pH, Standard plate count, Yeast & mould count, Spores, and sensory score as output parameter. Mean Square Error, Root Mean Square Error, Coefficient of Determination and Nash - Sutcliffo Coefficient were used in order to compare the prediction ability of the models. The study revealed that Generalized Regression computational intelligence models are quite effective in predicting the shelf life of processed cheese stored at 7-8 g.C.

  4. Using Software Zelio Soft in Educational Process to Simulation Control Programs for Intelligent Relays

    Science.gov (United States)

    Michalik, Peter; Mital, Dusan; Zajac, Jozef; Brezikova, Katarina; Duplak, Jan; Hatala, Michal; Radchenko, Svetlana

    2016-10-01

    Article deals with point to using intelligent relay and PLC systems in practice, to their architecture and principles of programming and simulations for education process on all types of school from secondary to universities. Aim of the article is proposal of simple examples of applications, where is demonstrated methodology of programming on real simple practice examples and shown using of chosen instructions. In practical part is described process of creating schemas and describing of function blocks, where are described methodologies of creating program and simulations of output reactions on changeable inputs for intelligent relays.

  5. Process control of anaerobic biogas fermentation. Process control systems based on microcontroller based computational intelligence; Prozessfuehrung der anaerobe Biogasfermentation. Prozessfuehrungssysteme auf Basis mikrocontrollerbasierter Computational Intelligence

    Energy Technology Data Exchange (ETDEWEB)

    Kramer, K.D. [Hochschule Harz, Wernigerode (Germany); Patzwahl, S.; Nacke, T.

    2005-07-01

    This article presents three system variants for the process control and monitoring of anaerobic biogas fermentation. All three systems were created using a self-developed software called ''EmCoSoft'' and a design process and were tested as microcontroller-based solutions. Strategies of computational intelligence (including Fuzzy Logic and Artificial Neuronal Networks) were considered most suitable for generating system core algorithms and were put to use. Experiments for generating process data and test sequences for each of the system variants were performed on well-equipped laboratory biogas plants.

  6. Scanning laser ultrasound and wavenumber spectroscopy for in-process inspection of additively manufactured parts

    Science.gov (United States)

    Koskelo, EliseAnne C.; Flynn, Eric B.

    2016-04-01

    We present a new in-process laser ultrasound inspection technique for additive manufacturing. Ultrasonic energy was introduced to the part by attaching an ultrasonic transducer to the printer build-plate and driving it with a single-tone, harmonic excitation. The full-field response of the part was measured using a scanning laser Doppler vibrometer after each printer layer. For each scan, we analyzed both the local amplitudes and wavenumbers of the response in order to identify defects. For this study, we focused on the detection of delamination between layers in a fused deposition modeling process. Foreign object damage, localized heating damage, and the resulting delamination between layers were detected in using the technique as indicated by increased amplitude and wavenumber responses within the damaged area.

  7. Competitive Intelligence.

    Science.gov (United States)

    Bergeron, Pierrette; Hiller, Christine A.

    2002-01-01

    Reviews the evolution of competitive intelligence since 1994, including terminology and definitions and analytical techniques. Addresses the issue of ethics; explores how information technology supports the competitive intelligence process; and discusses education and training opportunities for competitive intelligence, including core competencies…

  8. Endoscopic fringe projection for in-situ inspection of a sheet-bulk metal forming process

    Science.gov (United States)

    Matthias, Steffen; Kästner, Markus; Reithmeier, Eduard

    2015-05-01

    Sheet-bulk metal forming is a new production process capable of performing deep-drawing and massive forming steps in a single operation. However, due to the high forming forces of the forming process, continuous process control is required in order to detect wear on the forming tool before production quality is impacted. To be able to measure the geometry of the forming tool in the limited space of forming presses, a new inspection system is being developed within the SFB/TR 73 collaborative research center. In addition to the limited space, the process restricts the amount of time available for inspection. Existing areal optical measurement systems suffer from shadowing when measuring the tool's inner elements, as they cannot be placed in the limited space next to the tool, while tactile measurement systems cannot meet the time restrictions for measuring the areal geometries. The new inspection system uses the fringe projection optical measurement principle to capture areal geometry data from relevant parts of the forming tool in short time. Highresolution image fibers are used to connect the system's compact sensor head to a base unit containing both camera and projector of the fringe projection system, which can be positioned outside of the moving parts of the press. To enable short measurement times, a high intensity laser source is used in the projector in combination with a digital micro-mirror device. Gradient index lenses are featured in the sensor head to allow for a very compact design that can be used in the narrow space above the forming tool inside the press. The sensor head is attached to an extended arm, which also guides the image fibers to the base unit. A rotation stage offers the possibility to capture measurements of different functional elements on the circular forming tool by changing the orientation of the sensor head next to the forming tool. During operation of the press, the arm can be travelled out of the moving parts of the forming press

  9. Joint intelligence operations centers (JIOC) business process model & capabilities evaluation methodology

    OpenAIRE

    Schacher, Gordon; Irvine, Nelson; Hoyt, Roger

    2012-01-01

    A JIOC Business Process Model has been developed for use in evaluating JIOC capabilities. The model is described and depicted through OV5 and organization swim-lane diagrams. Individual intelligence activities diagrams are included. A JIOC evaluation methodology is described.

  10. Optimization of chemical composition in the manufacturing process of flotation balls based on intelligent soft sensing

    Directory of Open Access Journals (Sweden)

    Dučić Nedeljko

    2016-01-01

    Full Text Available This paper presents an application of computational intelligence in modeling and optimization of parameters of two related production processes - ore flotation and production of balls for ore flotation. It is proposed that desired chemical composition of flotation balls (Mn=0.69%; Cr=2.247%; C=3.79%; Si=0.5%, which ensures minimum wear rate (0.47 g/kg during copper milling is determined by combining artificial neural network (ANN and genetic algorithm (GA. Based on the results provided by neuro-genetic combination, a second neural network was derived as an ‘intelligent soft sensor’ in the process of white cast iron production. The proposed ANN 12-16-12-4 model demonstrated favourable prediction capacity, and can be recommended as a ‘intelligent soft sensor’ in the alloying process intended for obtaining favourable chemical composition of white cast iron for production of flotation balls. In the development of intelligent soft sensor data from the two real production processes was used. [Projekat Ministarstva nauke Republike Srbije, br. TR35037 i br. TR35015

  11. Validity of the Luria-Nebraska Intellectual Processes Scale as a Measure of Adult Intelligence.

    Science.gov (United States)

    Prifitera, Aurelio; Ryan, Joseph J.

    1981-01-01

    Investigated the validity of the Luria-Nebraska Intellectual Processes Scale (IPS) as a substitute for the Wechsler Adult Intelligence Scale (WAIS). IPS scores were correlated with the three WAIS IQs, and regression equations were computed to obtain estimated Verbal IQ, Performance IQ, and Full Scale IQ. (Author)

  12. Why is working memory related to intelligence? Different contributions from storage and processing.

    Science.gov (United States)

    Dang, Cai-Ping; Braeken, Johan; Colom, Roberto; Ferrer, Emilio; Liu, Chang

    2014-01-01

    Domain-specific contributions of working memory (WM), short-term memory (STM), and executive functioning (EF) to individual differences in intelligence were analysed using a latent variable approach. A sample of 345 participants completed a battery of 24 tests tapping the constructs of interests as comprehensively as possible. Visuospatial and verbal STM and WM tasks were administered along with three subcomponents of EF, namely inhibition, planning, and shifting. Intelligence was assessed by non-verbal/abstract/fluid intelligence (Gf) and verbal/crystallised intelligence (Gc) standardised tests. Structural equation modelling results show that EF is the main predictor of Gf, whereas verbal STM is the main predictor of Gc. Storage and processing providing different contributions to the prediction of Gf and Gc supports the view that both short-term storage and executive functioning account for the relationship between WM and intelligence. This main conclusion stresses the importance of acknowledging core cognitive constructs as being hierarchical systems with general and domain-specific mechanisms.

  13. Software Design Improvements. Part 2; Software Quality and the Design and Inspection Process

    Science.gov (United States)

    Lalli, Vincent R.; Packard, Michael H.; Ziemianski, Tom

    1997-01-01

    The application of assurance engineering techniques improves the duration of failure-free performance of software. The totality of features and characteristics of a software product are what determine its ability to satisfy customer needs. Software in safety-critical systems is very important to NASA. We follow the System Safety Working Groups definition for system safety software as: 'The optimization of system safety in the design, development, use and maintenance of software and its integration with safety-critical systems in an operational environment. 'If it is not safe, say so' has become our motto. This paper goes over methods that have been used by NASA to make software design improvements by focusing on software quality and the design and inspection process.

  14. UT digitized data processing for in service inspection of pressurized water reactor vessels

    Energy Technology Data Exchange (ETDEWEB)

    Lasserre, F.; Hernandez, L. [Intercontrole, Rungis (France); Paradis, L. [CEA/CEREM, 91191, Gifs/Yvette cedex (France)

    1998-03-01

    Pressurized reactor vessels in France have been examined from the inside with ultrasonic focused transducers since the very first inspection (Gagnor and Levy (1993)). The developments carried out in collaboration with the French Atomic Energy Commission (CEA) to improve the characterization of flaws detected in the body of the vessels or in the nozzles, in the vicinity of the inner or the outer surfaces now have application throughout the CIVAMIS software. The processing modules of CIVAMIS, which are implemented on site since 1994 and used by INTERCONTROLE during the in service inspections of the French PWR vessels, allow full characterization of these specific flaws. The first module is devoted to the characterization of defects located near the outer surface of the vessel or the bottom head welds (OSD module). It includes the modeling software MEPHISTOMIS which predicts the echoes coming from the interaction between the ultrasonic beam and the defects. The second module of CIVAMIS (inner surface defect module called ISD), applied to the analysis of flaws expected near the inner surface of the vessels, has been used during performance demonstration exercises on qualification mock-ups, and also on-site in five expert appraisals since its qualification in 1995. The third module available on the system has beendeveloped and qualified for the analysis of flaws likely to appear near the inner surface of the no zzles. This module, named `undercladding crack defect` (UCD) module, provides the operators with a set of pre-defined processing configurations well adapted to the characteristics of the transducers. (orig.) 11 refs.

  15. Intelligent sensor-model automated control of PMR-15 autoclave processing

    Science.gov (United States)

    Hart, S.; Kranbuehl, D.; Loos, A.; Hinds, B.; Koury, J.

    1992-01-01

    An intelligent sensor model system has been built and used for automated control of the PMR-15 cure process in the autoclave. The system uses frequency-dependent FM sensing (FDEMS), the Loos processing model, and the Air Force QPAL intelligent software shell. The Loos model is used to predict and optimize the cure process including the time-temperature dependence of the extent of reaction, flow, and part consolidation. The FDEMS sensing system in turn monitors, in situ, the removal of solvent, changes in the viscosity, reaction advancement and cure completion in the mold continuously throughout the processing cycle. The sensor information is compared with the optimum processing conditions from the model. The QPAL composite cure control system allows comparison of the sensor monitoring with the model predictions to be broken down into a series of discrete steps and provides a language for making decisions on what to do next regarding time-temperature and pressure.

  16. Numerical magnitude processing deficits in children with mathematical difficulties are independent of intelligence.

    Science.gov (United States)

    Brankaer, Carmen; Ghesquière, Pol; De Smedt, Bert

    2014-11-01

    Developmental dyscalculia (DD) is thought to arise from difficulties in the ability to process numerical magnitudes. Most research relied on IQ-discrepancy based definitions of DD and only included individuals with normal IQ, yet little is known about the role of intelligence in the association between numerical magnitude processing and mathematical difficulties (MD). The present study examined numerical magnitude processing in matched groups of 7- to 8-year-olds (n=42) who had either discrepant MD (poor math scores, average IQ), nondiscrepant MD (poor math scores, below-average IQ) or no MD. Both groups of children with MD showed similar impairments in numerical magnitudes processing compared to controls, suggesting that the association between numerical magnitude processing deficits and MD is independent of intelligence. Copyright © 2014 Elsevier Ltd. All rights reserved.

  17. Intelligent sensor-model automated control of PMR-15 autoclave processing

    Science.gov (United States)

    Hart, S.; Kranbuehl, D.; Loos, A.; Hinds, B.; Koury, J.

    1992-01-01

    An intelligent sensor model system has been built and used for automated control of the PMR-15 cure process in the autoclave. The system uses frequency-dependent FM sensing (FDEMS), the Loos processing model, and the Air Force QPAL intelligent software shell. The Loos model is used to predict and optimize the cure process including the time-temperature dependence of the extent of reaction, flow, and part consolidation. The FDEMS sensing system in turn monitors, in situ, the removal of solvent, changes in the viscosity, reaction advancement and cure completion in the mold continuously throughout the processing cycle. The sensor information is compared with the optimum processing conditions from the model. The QPAL composite cure control system allows comparison of the sensor monitoring with the model predictions to be broken down into a series of discrete steps and provides a language for making decisions on what to do next regarding time-temperature and pressure.

  18. Advanced Polymer Composite Molding Through Intelligent Process Analysis and Control

    Science.gov (United States)

    2004-11-30

    In this project. process analysis of Resin Transfer Molding (RTM) was carried out and adaptive process control models were developed. In addition, a...aforementioned work in three separate sections: (1) process analysis and adaptive control modeling, (2) manufacturing of non-invasive sensor, end (3) list of publications resulting from this project.

  19. Design and implementation of the safety inspection system based on intelligent mobile terminal%基于智能移动终端的安全检查系统设计与实现

    Institute of Scientific and Technical Information of China (English)

    樊新; 高曙

    2012-01-01

    为了提高矿山安全检查信息化水平,提出了一种基于智能移动终端的安全检查系统的设计与实现方案。该方案通过手持终端采集安全检查信息并将其保存到终端SQLite数据库中,同时利用Socket编程使终端安全检查信息通过WiFi无线通信技术传输到服务器数据库中。通过分析矿山安全检查信息来确定矿山的安全状况,从而实现对矿山的安全管理。%In order to improve the information level of mine safety information, design and implementation of safety inspection system based on intelligent mobile terminal was presented. The precept was that hand-held terminals collected safety inspection in- formation and saved it to terminal SQLite database, at the same time taking advantage of Socket programming, the terminal security inspection information transmitted to server database by the WiFi wireless communication technology. Through the analysis of safety inspection information to determine the safety status of mine, thus realized the security inspection for the mine.

  20. Space Shuttle processing - A case study in artificial intelligence

    Science.gov (United States)

    Mollikarimi, Cindy; Gargan, Robert; Zweben, Monte

    1991-01-01

    A scheduling system incorporating AI is described and applied to the automated processing of the Space Shuttle. The unique problem of addressing the temporal, resource, and orbiter-configuration requirements of shuttle processing is described with comparisons to traditional project management for manufacturing processes. The present scheduling system is developed to handle the late inputs and complex programs that characterize shuttle processing by incorporating fixed preemptive scheduling, constraint-based simulated annealing, and the characteristics of an 'anytime' algorithm. The Space-Shuttle processing environment is modeled with 500 activities broken down into 4000 subtasks and with 1600 temporal constraints, 8000 resource constraints, and 3900 state requirements. The algorithm is shown to scale to very large problems and maintain anytime characteristics suggesting that an automated scheduling process is achievable and potentially cost-effective.

  1. Synthetic Intelligent Fault Diagnosis Technology for Complex Process

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    A fault diagnosis method of knowledge-based fuzzy neural network is proposed for complex process, which is hard to develop practical mathematical model. Fault detection is performed through a knowledge-based system, where fault detection heuristic rules have been generated from deep and shallow knowledge of the process. The fuzzy neural network performs the fault diagnosis task. This method does not need practical mathematical models of objects, so it is a strong implement for complex process.

  2. Process window and defect monitoring using high-throughput e-beam inspection guided by computational hot spot detection

    Science.gov (United States)

    Wang, Fei; Zhang, Pengcheng; Fang, Wei; Liu, Kevin; Jau, Jack; Wang, Lester; Wan, Alex; Hunsche, Stefan; Halder, Sandip; Leray, Philippe

    2016-03-01

    As design rules for leading edge devices have shrunk to 1x nm size and below, device patterns have become sensitive to sub-10nm size defects. Additionally, defectivity and yield are now increasingly dominated by systematic patterning defects. A method for identifying and inspecting these hot spot (HS) locations is necessary for both technology development and High Volume Manufacturing (HVM). In order to achieve sufficient statistical significance across the wafer for a specific product and layer, a guided, high-speed e-beam inspection system is needed to cover a significant amount of high-volume hot spot locations for process window monitoring. In this paper, we explore the capabilities of a novel, highthroughput e-beam hot spot inspection tool, SkyScanTM 5000, on a 10nm back-end-of-line (BEOL) wafer patterned using a triple lithography-etch process. ASML's high-resolution, design-aware computational hot spot inspection is used to identify relevant hot spot locations, including overlay-sensitive patterns. We guide the e-beam tool to these Points of Interest (POI) and obtain experimental data from inspection of 430k wafer locations. The large amount of data allows detection of wafer-level and intra-field defect signatures for a large number of hot spot patterns.

  3. Construction of intelligent decision support system in control of gas compression process

    Directory of Open Access Journals (Sweden)

    Леонид Михайлович Замиховский

    2015-04-01

    Full Text Available The necessity to construct the intelligent decision support systems (IDSS in the control of the gas compression process with inclusion in structure of the training module is substantiated. А block diagram of human-computer interaction in the system "Dispatcher - IDSS - ASC GCU - CS" is shown, and the functions of the separate blocks of the intellectual decision support system in the control of the gas compression process are defined

  4. Federated Stream Processing Support for Real-Time Business Intelligence Applications

    Science.gov (United States)

    Botan, Irina; Cho, Younggoo; Derakhshan, Roozbeh; Dindar, Nihal; Haas, Laura; Kim, Kihong; Tatbul, Nesime

    In this paper, we describe the MaxStream federated stream processing architecture to support real-time business intelligence applications. MaxStream builds on and extends the SAP MaxDB relational database system in order to provide a federator over multiple underlying stream processing engines and databases. We show preliminary results on usefulness and performance of the MaxStream architecture on the SAP Sales and Distribution Benchmark.

  5. Processing of x-ray image in the intelligent setting system for fracture

    Science.gov (United States)

    Zheng, Wei; Zhang, Liyong; Liu, Sijiu; Yu, Zhiguo

    2006-11-01

    Intelligent setting system based on biomechanics and bone fracture therapy can accomplish micro-wound, intelligence and high efficiency of fracture setting. X-ray images grabbed by C-shape-arm X-ray machine supply the most key data for intelligent setting. Processing, analysis and transmission security of the image is the core in the system. According to characteristics being shown in three dimensions gray distribution figure and frequency spectrum of the image, histogram equalization in space domain and homomorphic filtering in frequency domain are separately proposed to enhance contrast and sharpness. On the foundation of mining orthopedics experts experience knowledge, setting for femoral-neck fracture is turned into three in-continuous operations that are reflected in the X-ray images through nine points, six lines, two angles and one distance and that are able to be implemented by mechanical manipulator and control device in the system. Master-slave reference frame is put forward to supply a stable reference standard to calculate parameters. Encryption method based on chaos dynamics system is brought forward to ensure image information security in the process of telemedicine intelligent setting for fracture. Clinic experience proved that the system can help orthopedists to correctly and reliably complete setting for bone fracture.

  6. A Latent Variable Analysis of Working Memory Capacity, Short-Term Memory Capacity, Processing Speed, and General Fluid Intelligence.

    Science.gov (United States)

    Conway, Andrew R. A.; Cowan, Nelsin; Bunting, Michael F.; Therriault, David J.; Minkoff, Scott R. B.

    2002-01-01

    Studied the interrelationships among general fluid intelligence, short-term memory capacity, working memory capacity, and processing speed in 120 young adults and used structural equation modeling to determine the best predictor of general fluid intelligence. Results suggest that working memory capacity, but not short-term memory capacity or…

  7. Differences in Cognitive Processes between Gifted, Intelligent, Creative, and Average Individuals While Solving Complex Problems: An EEG Study.

    Science.gov (United States)

    Jausovec, Norbert

    2000-01-01

    Studied differences in cognitive processes related to creativity and intelligence using EEG coherence and power measures in the lower and upper alpha bands. Results of 2 experiments involving 49 and 48 right-handed student teachers suggest that creativity and intelligence are different abilities that also differ in the neurological activity…

  8. Business Intelligence Applied to the ALMA Software Integration Process

    Science.gov (United States)

    Zambrano, M.; Recabarren, C.; González, V.; Hoffstadt, A.; Soto, R.; Shen, T.-C.

    2012-09-01

    Software quality assurance and planning of an astronomy project is a complex task, specially if it is a distributed collaborative project such as ALMA, where the development centers are spread across the globe. When you execute a software project there is much valuable information about this process itself that you might be able to collect. One of the ways you can receive this input is via an issue tracking system that will gather the problem reports relative to software bugs captured during the testing of the software, during the integration of the different components or even worst, problems occurred during production time. Usually, there is little time spent on analyzing them but with some multidimensional processing you can extract valuable information from them and it might help you on the long term planning and resources allocation. We present an analysis of the information collected at ALMA from a collection of key unbiased indicators. We describe here the extraction, transformation and load process and how the data was processed. The main goal is to assess a software process and get insights from this information.

  9. An Intelligent System for Modelling, Design and Analysis of Chemical Processes

    DEFF Research Database (Denmark)

    Gani, Rafiqul

    ICAS, Integrated Computer Aided System, is a software that consists of a number of intelligent tools, which are very suitable, among others, for computer aided modelling, sustainable design of chemical and biochemical processes, and design-analysis of product-process monitoring systems. Each...... of these tools are characterized by a framework that follows an established work-flow and data-flow, developed to guide the user through the many steps of the problem solution process. At each, the specific tool knows which data, model and/or algorithm to use. The tool also provides analysis of the calculated...... results so that the user can make intelligent decisions to proceed to the next step. The tools contain in-house databases, especially designed to work in an integrated manner with tool specific ontology for efficient knowledge management. Examples highlighting the use of the tools willl be given, where...

  10. An Intelligent Software Workflow Process Design for Location Management on Mobile Devices

    CERN Document Server

    Rao, N Mallikharjuna

    2012-01-01

    Advances in the technologies of networking, wireless communication and trimness of computers lead to the rapid development in mobile communication infrastructure, and have drastically changed information processing on mobile devices. Users carrying portable devices can freely move around, while still connected to the network. This provides flexibility in accessing information anywhere at any time. For improving more flexibility on mobile device, the new challenges in designing software systems for mobile networks include location and mobility management, channel allocation, power saving and security. In this paper, we are proposing intelligent software tool for software design on mobile devices to fulfill the new challenges on mobile location and mobility management. In this study, the proposed Business Process Redesign (BPR) concept is aims at an extension of the capabilities of an existing, widely used process modeling tool in industry with 'Intelligent' capabilities to suggest favorable alternatives to an ...

  11. Hybrid intelligent control of combustion process for ore-roasting furnace

    Institute of Scientific and Technical Information of China (English)

    Aijun YAN; Tianyou CHAI; Fenghua WU; Pu WANG

    2008-01-01

    Because of its synthetic and complex characteristics, the combustion process of the shaft ore-roasting furnace is very difficult to control stably. A hybrid intelligent control approach is developed which consists of two systems: one is a cascade fuzzy control system with a temperature soft-sensor, and the other is a ratio control system for air flow with a compensation model for heating gas flow and air-fuel ratio. This approach combined intelligent control, soft-sensing and fault diagnosis with conventional control. It can adjust both the heating gas flow and the air-fuel ratio in real time. By this way, the difficulty of online measurement of the furnace temperature is solved, the fault ratios during combustion process is decreased, the steady control of the furnace temperature is achieved, and the gas consumption is reduced. The successful application in shaft furnaces of a mineral processing plant in China indicates its effectiveness.

  12. 12th International Conference on Intelligent Information Hiding and Multimedia Signal Processing

    CERN Document Server

    Tsai, Pei-Wei; Huang, Hsiang-Cheh

    2017-01-01

    This volume of Smart Innovation, Systems and Technologies contains accepted papers presented in IIH-MSP-2016, the 12th International Conference on Intelligent Information Hiding and Multimedia Signal Processing. The conference this year was technically co-sponsored by Tainan Chapter of IEEE Signal Processing Society, Fujian University of Technology, Chaoyang University of Technology, Taiwan Association for Web Intelligence Consortium, Fujian Provincial Key Laboratory of Big Data Mining and Applications (Fujian University of Technology), and Harbin Institute of Technology Shenzhen Graduate School. IIH-MSP 2016 is held in 21-23, November, 2016 in Kaohsiung, Taiwan. The conference is an international forum for the researchers and professionals in all areas of information hiding and multimedia signal processing. .

  13. QuikForm: Intelligent deformation processing of structural alloys

    Energy Technology Data Exchange (ETDEWEB)

    Bourcier, R.J.; Wellman, G.W.

    1994-09-01

    There currently exists a critical need for tools to enhance the industrial competitiveness and agility of US industries involved in deformation processing of structural alloys. In response to this need, Sandia National Laboratories has embarked upon the QuikForm Initiative. The goal of this program is the development of computer-based tools to facilitate the design of deformation processing operations. The authors are currently focusing their efforts on the definition/development of a comprehensive system for the design of sheet metal stamping operations. The overall structure of the proposed QuikForm system is presented, and the focus of their thrust in each technical area is discussed.

  14. Shared and service-oriented CNC machining system for intelligent manufacturing process

    Science.gov (United States)

    Li, Yao; Liu, Qiang; Tong, Ronglei; Cui, Xiaohong

    2015-11-01

    To improve efficiency, reduce cost, ensure quality effectively, researchers on CNC machining have focused on virtual machine tool, cloud manufacturing, wireless manufacturing. However, low level of information shared among different systems is a common disadvantage. In this paper, a machining database with data evaluation module is set up to ensure integrity and update. An online monitoring system based on internet of things and multi-sensors "feel" a variety of signal features to "percept" the state in CNC machining process. A high efficiency and green machining parameters optimization system "execute" service-oriented manufacturing, intelligent manufacturing and green manufacturing. The intelligent CNC machining system is applied in production. CNC machining database effectively shares and manages process data among different systems. The prediction accuracy of online monitoring system is up to 98.8% by acquiring acceleration and noise in real time. High efficiency and green machining parameters optimization system optimizes the original processing parameters, and the calculation indicates that optimized processing parameters not only improve production efficiency, but also reduce carbon emissions. The application proves that the shared and service-oriented CNC machining system is reliable and effective. This research presents a shared and service-oriented CNC machining system for intelligent manufacturing process.

  15. Shared and Service-oriented CNC Machining System for Intelligent Manufacturing Process

    Institute of Scientific and Technical Information of China (English)

    LI Yao; LIU Qiang; TONG Ronglei; CUI Xiaohong

    2015-01-01

    To improve efficiency, reduce cost, ensure quality effectively, researchers on CNC machining have focused on virtual machine tool, cloud manufacturing, wireless manufacturing. However, low level of information shared among different systems is a common disadvantage. In this paper, a machining database with data evaluation module is set up to ensure integrity and update. An online monitoring system based on internet of things and multi-sensors “feel” a variety of signal features to “percept” the state in CNC machining process. A high efficiency and green machining parameters optimization system “execute” service-oriented manufacturing, intelligent manufacturing and green manufacturing. The intelligent CNC machining system is applied in production. CNC machining database effectively shares and manages process data among different systems. The prediction accuracy of online monitoring system is up to 98.8% by acquiring acceleration and noise in real time. High efficiency and green machining parameters optimization system optimizes the original processing parameters, and the calculation indicates that optimized processing parameters not only improve production efficiency, but also reduce carbon emissions. The application proves that the shared and service-oriented CNC machining system is reliable and effective. This research presents a shared and service-oriented CNC machining system for intelligent manufacturing process.

  16. Information processing speed mediates the relationship between white matter and general intelligence in schizophrenia.

    Science.gov (United States)

    Alloza, Clara; Cox, Simon R; Duff, Barbara; Semple, Scott I; Bastin, Mark E; Whalley, Heather C; Lawrie, Stephen M

    2016-08-30

    Several authors have proposed that schizophrenia is the result of impaired connectivity between specific brain regions rather than differences in local brain activity. White matter abnormalities have been suggested as the anatomical substrate for this dysconnectivity hypothesis. Information processing speed may act as a key cognitive resource facilitating higher order cognition by allowing multiple cognitive processes to be simultaneously available. However, there is a lack of established associations between these variables in schizophrenia. We hypothesised that the relationship between white matter and general intelligence would be mediated by processing speed. White matter water diffusion parameters were studied using Tract-based Spatial Statistics and computed within 46 regions-of-interest (ROI). Principal component analysis was conducted on these white matter ROI for fractional anisotropy (FA) and mean diffusivity, and on neurocognitive subtests to extract general factors of white mater structure (gFA, gMD), general intelligence (g) and processing speed (gspeed). There was a positive correlation between g and gFA (r= 0.67, p =0.001) that was partially and significantly mediated by gspeed (56.22% CI: 0.10-0.62). These findings suggest a plausible model of structure-function relations in schizophrenia, whereby white matter structure may provide a neuroanatomical substrate for general intelligence, which is partly supported by speed of information processing.

  17. Advanced Material Intelligent Processing Center: Next Generation Scalable Lean Manufacturing

    Science.gov (United States)

    2012-09-04

    modular for multiple projects and adaptable as new materials and processing techniques emerge. The system was designed with Dassault Systemes CATIA ...and cable harness design was carried out with CATIA to maximize robot turn and extension. The workstation was designed to allow access to a flat tool

  18. Intelligent Sensors for Atomization Processing of Molten Metals and Alloys

    Science.gov (United States)

    1988-06-01

    usingj ria’l anole scat:.2ring aria ~xz rlodcr.’-anq’Ie scattering analysis, and dooler analysis; elect-r4ICal methods usn sur face i: o and...51ff. 21. Meyer, Patricia . An Analysis of the Atomization Process in Coal-Water Slurry Sprays. Ph.D. Th., Carnegie Mellon University, 1986. 22. Myers

  19. Information-Processing on Intelligence Test Items: Some Response Components

    Science.gov (United States)

    Whitely, Susan E.

    1977-01-01

    A factor analysis was used to study the relationships among response time and accuracy scores for a verbal analogies test, as well as a number of experimental variables designed to measure a series of information processing stages of the analogies task. (CTM)

  20. The process of deforestation in weak democracies and the role of Intelligence.

    Science.gov (United States)

    Obydenkova, Anastassia; Nazarov, Zafar; Salahodjaev, Raufhon

    2016-07-01

    This article examines the interconnection between national intelligence, political institutions, and the mismanagement of public resources (deforestations). The paper examines the reasons for deforestation and investigates the factors accountable for it. The analysis builds on authors-compiled cross-national dataset on 185 countries over the time period of twenty years, from 1990 to 2010. We find that, first, nation's intelligence reduces significantly the level of deforestation in a state. Moreover, the nations' IQ seems to play an offsetting role in the natural resource conservation (forest management) in the countries with weak democratic institutions. The analysis also discovered the presence of the U-shaped relationship between democracy and deforestation. Intelligence sheds more light on this interconnection and explains the results. Our results are robust to various sample selection strategies and model specifications. The main implication from our study is that intelligence not only shapes formal rules and informal regulations such as social trust, norms and traditions but also it has the ability to reverse the paradoxical process known as "resource curse." The study contributes to better understanding of reasons of deforestation and shed light on the debated impact of political regime on forest management.

  1. Intelligent Optimization of a Mixed Culture Cultivation Process

    Directory of Open Access Journals (Sweden)

    Petia Koprinkova-Hristova

    2015-04-01

    Full Text Available In the present paper a neural network approach called "Adaptive Critic Design" (ACD was applied to optimal tuning of set point controllers of the three main substrates (sugar, nitrogen source and dissolved oxygen for PHB production process. For approximation of the critic and the controllers a special kind of recurrent neural networks called Echo state networks (ESN were used. Their structure allows fast training that will be of crucial importance in on-line applications. The critic network is trained to minimize the temporal difference error using Recursive Least Squares method. Two approaches - gradient and heuristic - were exploited for training of the controllers. The comparison is made with respect to achieved improvement of the utility function subject of optimization as well as with known expert strategy for control the PHB production process.

  2. Role of emotional intelligence in the military transformation process.

    Science.gov (United States)

    2016-06-10

    reinforce it and make it a part of the workplace culture. Kotter provides an effective model to assist organizational leaders in successfully...of Staff of the Ottoman Army. He demonstrated great strategic and political abilities as well as great cooperation and teamwork ability with the...the transformation process, it is not easy. It needs teamwork , involvement of a guiding coalition, various meetings, brainstorming, and analytical

  3. Intelligent Computational Systems. Opening Remarks: CFD Application Process Workshop

    Science.gov (United States)

    VanDalsem, William R.

    1994-01-01

    This discussion will include a short review of the challenges that must be overcome if computational physics technology is to have a larger impact on the design cycles of U.S. aerospace companies. Some of the potential solutions to these challenges may come from the information sciences fields. A few examples of potential computational physics/information sciences synergy will be presented, as motivation and inspiration for the Improving The CFD Applications Process Workshop.

  4. Team B Intelligence Coups

    Science.gov (United States)

    Mitchell, Gordon R.

    2006-01-01

    The 2003 Iraq prewar intelligence failure was not simply a case of the U.S. intelligence community providing flawed data to policy-makers. It also involved subversion of the competitive intelligence analysis process, where unofficial intelligence boutiques "stovepiped" misleading intelligence assessments directly to policy-makers and…

  5. 2nd International Symposium on Signal Processing and Intelligent Recognition Systems

    CERN Document Server

    Bandyopadhyay, Sanghamitra; Krishnan, Sri; Li, Kuan-Ching; Mosin, Sergey; Ma, Maode

    2016-01-01

    This Edited Volume contains a selection of refereed and revised papers originally presented at the second International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2015), December 16-19, 2015, Trivandrum, India. The program committee received 175 submissions. Each paper was peer reviewed by at least three or more independent referees of the program committee and the 59 papers were finally selected. The papers offer stimulating insights into biometrics, digital watermarking, recognition systems, image and video processing, signal and speech processing, pattern recognition, machine learning and knowledge-based systems. The book is directed to the researchers and scientists engaged in various field of signal processing and related areas. .

  6. 基于ERP和GPRS的电力生产智能全方位巡检控制系统%Intelligent all-round inspection control system in electric power production based on ERP and GPRS

    Institute of Scientific and Technical Information of China (English)

    徐远鹏

    2011-01-01

    针对目前高压输配电线路和设备监管措施较多,对巡线人员工作责任考核技术措施有效性较差的特点,提出了一种新的基于ERP和GPRS的电力生产智能全方位巡检控制系统,阐述了ERP管理模式,引入了ERP和GPRS技术,开发和实现了集巡线工作精确量化管理、巡检数据自动录入等功能于一体的电力生产智能全方位巡检控制系统.应用结果验证了该系统应用于电力系统巡检时,其软件运行稳定性优良.该系统将成为电力生产巡检行业未来的发展方向.%In view of characteristics that at present, more regulatory measures have been taken in high-voltage transmission and distribution lines and equipments, technical measures of job responsibility assessment for line inspection persons are poor effectiveness, a new intelligent all-round inspection control system in electric power production based on ERP and GPRS is put forward. A ERP management pattern is expounded, ERP and GPRS technology are drawn into. An integrated intelligent all-round inspection control system in electric power production has been developed and implemented, which has a variety of practical functions of precise quantitative management of line inspection jobs, automatic entry of inspection data. The results of application show that a strong point of good stability of software, when the system has been applied in line-inspection in the electric power system. It manifests that when the system is applied, it must become developing direction in the industry of line inspection in electric power production in the future.

  7. Inspection of the Department`s export licensing process for dual-use and munitions commodities

    Energy Technology Data Exchange (ETDEWEB)

    1993-08-10

    The purpose of our inspection was to review the Department of Energy`s (Energy) export licensing process for dual-use and military (munitions) commodities subject to nuclear nonproliferation controls. Specifically, we reviewed Energy`s authorities, procedures, and policies pertaining to the export licensing process and examined procedures for safeguarding data transmitted between Energy and other agencies involved in the export licensing process. We also reviewed Energy`s role as a member of the Subgroup on Nuclear Export Coordination. Our review of the sample of 60 export cases did not find evidence to lead us to believe that Energy`s recommendations for these cases were inappropriate or incorrect. We identified, however, problems regarding management systems associated with the export license review process. We found that without documentation supporting export licensing decisions by the Export Control Operations Division (ECOD), we could not determine whether ECOD analysts considered all required criteria in their review of export cases referred to Energy. For example, we found that the ECOD did not retain records documenting the bases for its advice, recommendations, or decisions regarding its reviews of export license cases or revisions to lists of controlled commodities and, therefore, was not in compliance with certain provisions of the Export Administration Act, as amended, and Energy records management directives. Additionally, we found that the degree of compliance by Energy with the export licensing review criteria contained in the Export Administration Regulations and the Nuclear Non-Proliferation Act of 1978 could not be determined because ECOD did not retain records documenting the bases for its advice and recommendations on export cases.

  8. Recent Technological Advances in Natural Language Processing and Artificial Intelligence

    OpenAIRE

    Shah, Nishal Pradeepkumar

    2012-01-01

    A recent advance in computer technology has permitted scientists to implement and test algorithms that were known from quite some time (or not) but which were computationally expensive. Two such projects are IBM's Jeopardy as a part of its DeepQA project [1] and Wolfram's Wolframalpha[2]. Both these methods implement natural language processing (another goal of AI scientists) and try to answer questions as asked by the user. Though the goal of the two projects is similar, both of them have a ...

  9. Network-Capable Application Process and Wireless Intelligent Sensors for ISHM

    Science.gov (United States)

    Figueroa, Fernando; Morris, Jon; Turowski, Mark; Wang, Ray

    2011-01-01

    Intelligent sensor technology and systems are increasingly becoming attractive means to serve as frameworks for intelligent rocket test facilities with embedded intelligent sensor elements, distributed data acquisition elements, and onboard data acquisition elements. Networked intelligent processors enable users and systems integrators to automatically configure their measurement automation systems for analog sensors. NASA and leading sensor vendors are working together to apply the IEEE 1451 standard for adding plug-and-play capabilities for wireless analog transducers through the use of a Transducer Electronic Data Sheet (TEDS) in order to simplify sensor setup, use, and maintenance, to automatically obtain calibration data, and to eliminate manual data entry and error. A TEDS contains the critical information needed by an instrument or measurement system to identify, characterize, interface, and properly use the signal from an analog sensor. A TEDS is deployed for a sensor in one of two ways. First, the TEDS can reside in embedded, nonvolatile memory (typically flash memory) within the intelligent processor. Second, a virtual TEDS can exist as a separate file, downloadable from the Internet. This concept of virtual TEDS extends the benefits of the standardized TEDS to legacy sensors and applications where the embedded memory is not available. An HTML-based user interface provides a visual tool to interface with those distributed sensors that a TEDS is associated with, to automate the sensor management process. Implementing and deploying the IEEE 1451.1-based Network-Capable Application Process (NCAP) can achieve support for intelligent process in Integrated Systems Health Management (ISHM) for the purpose of monitoring, detection of anomalies, diagnosis of causes of anomalies, prediction of future anomalies, mitigation to maintain operability, and integrated awareness of system health by the operator. It can also support local data collection and storage. This

  10. The use of artificial intelligence techniques to improve the multiple payload integration process

    Science.gov (United States)

    Cutts, Dannie E.; Widgren, Brian K.

    1992-01-01

    A maximum return of science and products with a minimum expenditure of time and resources is a major goal of mission payload integration. A critical component then, in successful mission payload integration is the acquisition and analysis of experiment requirements from the principal investigator and payload element developer teams. One effort to use artificial intelligence techniques to improve the acquisition and analysis of experiment requirements within the payload integration process is described.

  11. Investment Process in China's Mutual Funds and Application of Artificial Intelligence

    OpenAIRE

    Xie, Ningjia

    2008-01-01

    This paper explored the process of investment management in both theory and practice in China's mutual fund industry and reviewed the applications of artificial intelligence including Rule-based Expert Systems, Genetic Algorithms, Artificial Neural Network, and Support Vector Machines in financial forecasting, asset allocation and stocks selection. This study proposed the use of artificial neural network for stock selection which classifies stocks into undervalued stocks (+1), neutral st...

  12. Performance evaluation of laser line scanner for in-process inspection of 3D geometries

    Science.gov (United States)

    Zhou, Sen; Xu, Jian; Tao, Lei; Yan, Yu

    2016-09-01

    Non-contact measurement techniques using laser scanning have the power to deliver tremendous benefits to most notably manufacturing, and have the advantage of high speed and high detail output. However, a major obstacle to their widespread adoption in more complex on-line producing environments is their geometric constraints and low accuracy compared to the contact-based counterparts. The work presented in this paper introduces a performance evaluation test of laser line scanning for in-process inspection of 3D geometries. Some straightforward test methods that use a designed artifact are proposed. First, one work aims to experimentally investigate the location accuracy of knee point or corner point of edge features using a commercial laser stripe scanner, which is common in mechanical parts. Another work experimentally investigates the formation of outliers that may be usually promoted by reflective surfaces around surrounding area of corner point, and these outliers are characterized with large measurement errors, which significantly deteriorate the quality of the scanned point cloud data. Scanning path planning and outlier filter design are respectively discussed.

  13. Intelligent instruments for process measurement techniques (monitoring of sensors)

    Science.gov (United States)

    Bauer, B.; Hess, H. D.; Kalinski, J. R.; Leisenberg, W.; Marsch, D.

    1984-06-01

    Possibilities to extract redundant information of temperature sensors (resistance thermometers, thermocouples, semiconductor temperature sensors), and to find out which of the suggested redundancies are most suited for self controlled monitoring were investigated. Practical experience with equipment for process measurement techniques shows that sensor failures are five times more frequent than electronic malfunction. For resistance thermometers the measured values of the redundant information source (ac resistance) are too small (relative inductivity change 7 million). The information sources strain gage and propagation of ultrasonic waves are excluded because of physical properties in the sensor materials. Changes in the crystalline structure of thermocouples have the effect that there is no well defined relationship between thermoelectric voltage and the redundant information sources, resistance and coupled current impulses. A correlation of thermovoltage with these redundant values would yield a measurement uncertainty corresponding to more than + or - 50 K. Experiments with negative temperature coefficient sensors show that a failure is proceeded by a change in capacitance of the order of 0.1 pF.

  14. Risk Intelligence: Making Profit from Uncertainty in Data Processing System

    Directory of Open Access Journals (Sweden)

    Si Zheng

    2014-01-01

    Full Text Available In extreme scale data processing systems, fault tolerance is an essential and indispensable part. Proactive fault tolerance scheme (such as the speculative execution in MapReduce framework is introduced to dramatically improve the response time of job executions when the failure becomes a norm rather than an exception. Efficient proactive fault tolerance schemes require precise knowledge on the task executions, which has been an open challenge for decades. To well address the issue, in this paper we design and implement RiskI, a profile-based prediction algorithm in conjunction with a riskaware task assignment algorithm, to accelerate task executions, taking the uncertainty nature of tasks into account. Our design demonstrates that the nature uncertainty brings not only great challenges, but also new opportunities. With a careful design, we can benefit from such uncertainties. We implement the idea in Hadoop 0.21.0 systems and the experimental results show that, compared with the traditional LATE algorithm, the response time can be improved by 46% with the same system throughput.

  15. Risk intelligence: making profit from uncertainty in data processing system.

    Science.gov (United States)

    Zheng, Si; Liao, Xiangke; Liu, Xiaodong

    2014-01-01

    In extreme scale data processing systems, fault tolerance is an essential and indispensable part. Proactive fault tolerance scheme (such as the speculative execution in MapReduce framework) is introduced to dramatically improve the response time of job executions when the failure becomes a norm rather than an exception. Efficient proactive fault tolerance schemes require precise knowledge on the task executions, which has been an open challenge for decades. To well address the issue, in this paper we design and implement RiskI, a profile-based prediction algorithm in conjunction with a riskaware task assignment algorithm, to accelerate task executions, taking the uncertainty nature of tasks into account. Our design demonstrates that the nature uncertainty brings not only great challenges, but also new opportunities. With a careful design, we can benefit from such uncertainties. We implement the idea in Hadoop 0.21.0 systems and the experimental results show that, compared with the traditional LATE algorithm, the response time can be improved by 46% with the same system throughput.

  16. Inspection method of cable-stayed bridge using magnetic flux leakage detection: principle, sensor design, and signal processing

    Energy Technology Data Exchange (ETDEWEB)

    Xu, Fengyu; Wang, Xingsong [Southeast University, Nanjing (China); Wu, Hongtao [Nanjing University of Aeronautics and Astronautics, Nanjing (China)

    2012-03-15

    A nondestructive testing technique based on magnetic flux leakage is presented to inspect automatically the stay cables with large diameters of a cable-stayed bridge. Using the proposed inspection method, an online nondestructive testing (NDT) modular sensor is developed. The wreath-like sensor is composed of several sensor units that embrace the cable at equal angles. Each sensor unit consists of two permanent magnets and a hall sensor to detect the magnetic flux density. The modular sensor can be installed conveniently on cables with various diameters by increasing the number of sensor units and adjusting the relative distances between adjacent sensor units. Results of the experiments performed on a man-made cable with faults prove that the proposed sensor can inspect the status signals of the inner wires of the cables. To filter the interfering signals, three processing algorithms are discussed, including the moving average method, improved detrending algorithm, and signal processing based on a digital filter. Results show that the developed NDT sensor carried by a cable inspection robot can move along the cable and monitor the state of the stay cables.

  17. A Knowledge-reuse Based Intelligent Reasoning Model for Worsted Process Optimization

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    The textile process planning is a knowledge reuse process in nature, which depends on the expert's knowledge and experience. It seems to be very difficult to build up an integral mathematical model to optimize hundreds of the processing parameters. In fact, the existing process cases which were recorded to ensure the ability to trace production steps can also be used to optimize the process itself. This paper presents a novel knowledge-reuse based hybrid intelligent reasoning model (HIRM) for worsted process optimization. The model architecture and reasoning mechanism are respectively described. An applied case with HIRM is given to demonstrate that the best process decision can be made, and important processing parameters such as for raw material optimized.

  18. Developing an Intelligent Automatic Appendix Extraction Method from Ultrasonography Based on Fuzzy ART and Image Processing

    Directory of Open Access Journals (Sweden)

    Kwang Baek Kim

    2015-01-01

    Full Text Available Ultrasound examination (US does a key role in the diagnosis and management of the patients with clinically suspected appendicitis which is the most common abdominal surgical emergency. Among the various sonographic findings of appendicitis, outer diameter of the appendix is most important. Therefore, clear delineation of the appendix on US images is essential. In this paper, we propose a new intelligent method to extract appendix automatically from abdominal sonographic images as a basic building block of developing such an intelligent tool for medical practitioners. Knowing that the appendix is located at the lower organ area below the bottom fascia line, we conduct a series of image processing techniques to find the fascia line correctly. And then we apply fuzzy ART learning algorithm to the organ area in order to extract appendix accurately. The experiment verifies that the proposed method is highly accurate (successful in 38 out of 40 cases in extracting appendix.

  19. Research on application of intelligent computation based LUCC model in urbanization process

    Science.gov (United States)

    Chen, Zemin

    2007-06-01

    Global change study is an interdisciplinary and comprehensive research activity with international cooperation, arising in 1980s, with the largest scopes. The interaction between land use and cover change, as a research field with the crossing of natural science and social science, has become one of core subjects of global change study as well as the front edge and hot point of it. It is necessary to develop research on land use and cover change in urbanization process and build an analog model of urbanization to carry out description, simulation and analysis on dynamic behaviors in urban development change as well as to understand basic characteristics and rules of urbanization process. This has positive practical and theoretical significance for formulating urban and regional sustainable development strategy. The effect of urbanization on land use and cover change is mainly embodied in the change of quantity structure and space structure of urban space, and LUCC model in urbanization process has been an important research subject of urban geography and urban planning. In this paper, based upon previous research achievements, the writer systematically analyzes the research on land use/cover change in urbanization process with the theories of complexity science research and intelligent computation; builds a model for simulating and forecasting dynamic evolution of urban land use and cover change, on the basis of cellular automation model of complexity science research method and multi-agent theory; expands Markov model, traditional CA model and Agent model, introduces complexity science research theory and intelligent computation theory into LUCC research model to build intelligent computation-based LUCC model for analog research on land use and cover change in urbanization research, and performs case research. The concrete contents are as follows: 1. Complexity of LUCC research in urbanization process. Analyze urbanization process in combination with the contents

  20. Advances in Intelligent Signal Processing and Data Mining Theory and Applications

    CERN Document Server

    Mihaylova, Lyudmila; Jain, Lakhmi

    2013-01-01

    The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis.   The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms.  

  1. [Progress and prospects of research on information processing techniques for intelligent diagnosis of traditional Chinese medicine].

    Science.gov (United States)

    Zhou, Chang-Le; Zhang, Zhi-Feng

    2006-11-01

    Information processing for intelligent diagnosis of traditional Chinese medicine (TCM), an important part of the modernization of Chinese medicine, attracts world wide attention from the science circle. This article presents a systematic introduction to the development of information technology, especially the processing of pulse and tongue images and systems of computer-aided Chinese medical diagnosis. Furthermore, it points out four essential areas of future research, including epistemic logic system of syndrome differentiation, system construction technology, data miming technology and information acquisition and analysis in TCM diagnosis.

  2. An Intelligent Master Model of Computer Aided Process Planning for Large Complicated Stampings

    Institute of Scientific and Technical Information of China (English)

    Zheng Jinqiao; Wang Yilin; Li Zhigang

    2005-01-01

    Process planning for large complicated stampings is more complicated, illegible and multiform than that for common stampings.In this paper, an intelligent master model of computer aided process planning (CAPP) for large complicated stampings has been developed based on knowledge based engineering (KBE) and feature technology. This innovative model consists of knowledge base ( KB), process control structure (PCS), process information model (PIM), multidisciplinary design optimization (MDO), model link environment (MLE) and simulation engine (SE), to realize process planning, optimization, simulation and management integrated to complete intelligent CAPP system. In this model, KBE provides knowledge base, open architecture and knowledge reuse ability to deal with the multi-domain and multi-expression of process knowledge, and forms an integrated environment. With PIM,all the knowledge consisting of objects, constraints, experience and decision-makings is carried by object-oriented method dynamically for knowledge-reasoning. PCS makes dynamical knowledge modified and updated timely and accordingly. MLE provides sev eral methods to make CAPP system associated and integrated. SE provides a programmable mechanism to interpret simulation course and result. Meanwhile, collaborative optimization, one method of MDO, is imported to deal with the optimization distributed for multiple purposes. All these make CAPP system integrated and open to other systems, such as die design and manufacturing system.

  3. Aspects of Inspection Planning

    DEFF Research Database (Denmark)

    Faber, M. H.; Sørensen, John Dalsgaard

    2000-01-01

    framework for updating of the reliability of components and systems on the basis of inspection results is outlined. Systems representative for inspection planning of different engineering systems subjected to typical deterioration processes are presented. Numerical simulation studies are performed......Inspection planning for systems is considered with special emphasis to the effect of the quality of inspections on the system reliability and the probability of repair. Inspection quality is described and discussed in terms of inspection reliability and inspection coverage where the latter is set...... in relation to the correlation between the failure modes of the considered system. The inspection planning problem is described in general terms taking basis in the Bayesian decision theory. Practical applicable approaches are derived from the more general but also more involving formulations. The theoretical...

  4. Aspects of Inspection Planning

    DEFF Research Database (Denmark)

    Faber, M. H.; Sørensen, John Dalsgaard

    2000-01-01

    Inspection planning for systems is considered with special emphasis to the effect of the quality of inspections on the system reliability and the probability of repair. Inspection quality is described and discussed in terms of inspection reliability and inspection coverage where the latter is set...... in relation to the correlation between the failure modes of the considered system. The inspection planning problem is described in general terms taking basis in the Bayesian decision theory. Practical applicable approaches are derived from the more general but also more involving formulations. The theoretical...... framework for updating of the reliability of components and systems on the basis of inspection results is outlined. Systems representative for inspection planning of different engineering systems subjected to typical deterioration processes are presented. Numerical simulation studies are performed...

  5. Neural Features of Processing the Enforcement Phrases Used during Occupational Health and Safety Inspections: An ERP Study

    Science.gov (United States)

    Ma, Qingguo; Shi, Liping; Hu, Linfeng; Liu, Qiang; Yang, Zheng; Wang, Qiuzhen

    2016-01-01

    The appropriate enforcement phrases used during occupational health and safety (OHS) inspection activities is a crucial factor to guarantee the compliance with OHS regulations in enterprises. However, few researchers have empirically investigated the issue of how enforcement phrases are processed. The present study explored the neural features of processing two types of enforcement phrases (severe-and-deterrent vs. mild-and-polite phrases) used during OHS inspections by applying event-related potentials (ERP) method. Electroencephalogram data were recorded while the participants distinguished between severe-and-deterrent phrases and mild-and-polite phrases depicted in written Chinese words. The ERP results showed that severe-and-deterrent phrases elicited significantly augmented P300 amplitude with a central-parietal scalp distribution compared with mild-and-polite phrases, indicating the allocation of more attention resources to and elaborate processing of the severe-and-deterrent phrases. It reveals that humans may consider the severe-and-deterrent phrases as more motivationally significant and elaborately process the severity and deterrence information contained in the enforcement phrases for the adaptive protection. The current study provides an objective and supplementary way to measure the efficiency of different enforcement phrases at neural level, which may help generate appropriate enforcement phrases and improve the performance of OHS inspections. PMID:27807404

  6. An intelligent factory-wide optimal operation system for continuous production process

    Science.gov (United States)

    Ding, Jinliang; Chai, Tianyou; Wang, Hongfeng; Wang, Junwei; Zheng, Xiuping

    2016-03-01

    In this study, a novel intelligent factory-wide operation system for a continuous production process is designed to optimise the entire production process, which consists of multiple units; furthermore, this system is developed using process operational data to avoid the complexity of mathematical modelling of the continuous production process. The data-driven approach aims to specify the structure of the optimal operation system; in particular, the operational data of the process are used to formulate each part of the system. In this context, the domain knowledge of process engineers is utilised, and a closed-loop dynamic optimisation strategy, which combines feedback, performance prediction, feed-forward, and dynamic tuning schemes into a framework, is employed. The effectiveness of the proposed system has been verified using industrial experimental results.

  7. Naive theories of intelligence and the role of processing fluency in perceived comprehension.

    Science.gov (United States)

    Miele, David B; Molden, Daniel C

    2010-08-01

    Previous research overwhelmingly suggests that feelings of ease people experience while processing information lead them to infer that their comprehension is high, whereas feelings of difficulty lead them to infer that their comprehension is low. However, the inferences people draw from their experiences of processing fluency should also vary in accordance with their naive theories about why new information might be easy or difficult to process. Five experiments that involved reading novel texts showed that participants who view intelligence as a fixed attribute, and who tend to interpret experiences of processing difficulty as an indication that they are reaching the limits of their ability, reported lower levels of comprehension as fluency decreased. In contrast, participants who view intelligence as a malleable attribute that develops through effort, and who do not tend to interpret experiences of processing difficulty as pertaining to some innate ability, did not report lower levels of comprehension as fluency decreased. In fact, when these participants were particularly likely to view effort as leading to increased mastery, decreases in fluency led them to report higher levels of comprehension.

  8. An Intelligent System for Modelling, Design and Analysis of Chemical Processes

    DEFF Research Database (Denmark)

    Gani, Rafiqul

    ICAS, Integrated Computer Aided System, is a software that consists of a number of intelligent tools, which are very suitable, among others, for computer aided modelling, sustainable design of chemical and biochemical processes, and design-analysis of product-process monitoring systems. Each...... the computer aided modelling tool will illustrate how to generate a desired process model, how to analyze the model equations, how to extract data and identify the model and make it ready for various types of application. In sustainable process design, the example will highlight the issue of integration...... of these tools are characterized by a framework that follows an established work-flow and data-flow, developed to guide the user through the many steps of the problem solution process. At each, the specific tool knows which data, model and/or algorithm to use. The tool also provides analysis of the calculated...

  9. Artificial Intelligence Tools for Scaling Up of High Shear Wet Granulation Process.

    Science.gov (United States)

    Landin, Mariana

    2017-01-01

    The results presented in this article demonstrate the potential of artificial intelligence tools for predicting the endpoint of the granulation process in high-speed mixer granulators of different scales from 25L to 600L. The combination of neurofuzzy logic and gene expression programing technologies allowed the modeling of the impeller power as a function of operation conditions and wet granule properties, establishing the critical variables that affect the response and obtaining a unique experimental polynomial equation (transparent model) of high predictability (R(2) > 86.78%) for all size equipment. Gene expression programing allowed the modeling of the granulation process for granulators of similar and dissimilar geometries and can be improved by implementing additional characteristics of the process, as composition variables or operation parameters (e.g., batch size, chopper speed). The principles and the methodology proposed here can be applied to understand and control manufacturing process, using any other granulation equipment, including continuous granulation processes.

  10. Introduction of a high throughput SPM for defect inspection and process control

    NARCIS (Netherlands)

    Sadeghian Marnani, H.; Koster, N.B.; Dool, T.C. van den

    2013-01-01

    The main driver for Semiconductor and Bio-MEMS industries is decreasing the feature size, moving from the current state-of-the-art at 22 nm towards 10 nm node. Consequently smaller defects and particles become problematic due to size and number, thus inspecting and characterizing them are very chall

  11. Automated signal processing applied to volatile-based inspection of greenhouse crops

    NARCIS (Netherlands)

    Jansen, R.M.C.; Hofstee, J.W.; Bouwmeester, H.J.; Henten, van E.J.

    2010-01-01

    Gas chromatograph–mass spectrometers (GC-MS) have been used and shown utility for volatile-based inspection of greenhouse crops. However, a widely recognized difficulty associated with GC-MS application is the large and complex data generated by this instrument. As a consequence, experienced analyst

  12. Optimization process planning using hybrid genetic algorithm and intelligent search for job shop machining.

    Science.gov (United States)

    Salehi, Mojtaba; Bahreininejad, Ardeshir

    2011-08-01

    Optimization of process planning is considered as the key technology for computer-aided process planning which is a rather complex and difficult procedure. A good process plan of a part is built up based on two elements: (1) the optimized sequence of the operations of the part; and (2) the optimized selection of the machine, cutting tool and Tool Access Direction (TAD) for each operation. In the present work, the process planning is divided into preliminary planning, and secondary/detailed planning. In the preliminary stage, based on the analysis of order and clustering constraints as a compulsive constraint aggregation in operation sequencing and using an intelligent searching strategy, the feasible sequences are generated. Then, in the detailed planning stage, using the genetic algorithm which prunes the initial feasible sequences, the optimized operation sequence and the optimized selection of the machine, cutting tool and TAD for each operation based on optimization constraints as an additive constraint aggregation are obtained. The main contribution of this work is the optimization of sequence of the operations of the part, and optimization of machine selection, cutting tool and TAD for each operation using the intelligent search and genetic algorithm simultaneously.

  13. Function-based design process for an intelligent ground vehicle vision system

    Science.gov (United States)

    Nagel, Robert L.; Perry, Kenneth L.; Stone, Robert B.; McAdams, Daniel A.

    2010-10-01

    An engineering design framework for an autonomous ground vehicle vision system is discussed. We present both the conceptual and physical design by following the design process, development and testing of an intelligent ground vehicle vision system constructed for the 2008 Intelligent Ground Vehicle Competition. During conceptual design, the requirements for the vision system are explored via functional and process analysis considering the flows into the vehicle and the transformations of those flows. The conceptual design phase concludes with a vision system design that is modular in both hardware and software and is based on a laser range finder and camera for visual perception. During physical design, prototypes are developed and tested independently, following the modular interfaces identified during conceptual design. Prototype models, once functional, are implemented into the final design. The final vision system design uses a ray-casting algorithm to process camera and laser range finder data and identify potential paths. The ray-casting algorithm is a single thread of the robot's multithreaded application. Other threads control motion, provide feedback, and process sensory data. Once integrated, both hardware and software testing are performed on the robot. We discuss the robot's performance and the lessons learned.

  14. Vision Based Autonomous Robotic Control for Advanced Inspection and Repair

    Science.gov (United States)

    Wehner, Walter S.

    2014-01-01

    The advanced inspection system is an autonomous control and analysis system that improves the inspection and remediation operations for ground and surface systems. It uses optical imaging technology with intelligent computer vision algorithms to analyze physical features of the real-world environment to make decisions and learn from experience. The advanced inspection system plans to control a robotic manipulator arm, an unmanned ground vehicle and cameras remotely, automatically and autonomously. There are many computer vision, image processing and machine learning techniques available as open source for using vision as a sensory feedback in decision-making and autonomous robotic movement. My responsibilities for the advanced inspection system are to create a software architecture that integrates and provides a framework for all the different subsystem components; identify open-source algorithms and techniques; and integrate robot hardware.

  15. Event Detection Intelligent Camera: Demonstration of flexible, real-time data taking and processing

    Energy Technology Data Exchange (ETDEWEB)

    Szabolics, Tamás, E-mail: szabolics.tamas@wigner.mta.hu; Cseh, Gábor; Kocsis, Gábor; Szepesi, Tamás; Zoletnik, Sándor

    2015-10-15

    Highlights: • We present EDICAM's operation principles description. • Firmware tests results. • Software test results. • Further developments. - Abstract: An innovative fast camera (EDICAM – Event Detection Intelligent CAMera) was developed by MTA Wigner RCP in the last few years. This new concept was designed for intelligent event driven processing to be able to detect predefined events and track objects in the plasma. The camera provides a moderate frame rate of 400 Hz at full frame resolution (1280 × 1024), and readout of smaller region of interests can be done in the 1–140 kHz range even during exposure of the full image. One of the most important advantages of this hardware is a 10 Gbit/s optical link which ensures very fast communication and data transfer between the PC and the camera, enabling two level of processing: primitive algorithms in the camera hardware and high-level processing in the PC. This camera hardware has successfully proven to be able to monitoring the plasma in several fusion devices for example at ASDEX Upgrade, KSTAR and COMPASS with the first version of firmware. A new firmware and software package is under development. It allows to detect predefined events in real time and therefore the camera is capable to change its own operation or to give warnings e.g. to the safety system of the experiment. The EDICAM system can handle a huge amount of data (up to TBs) with high data rate (950 MB/s) and will be used as the central element of the 10 camera overview video diagnostic system of Wendenstein 7-X (W7-X) stellarator. This paper presents key elements of the newly developed built-in intelligence stressing the revolutionary new features and the results of the test of the different software elements.

  16. The Intelligent Measuring Sub-system in the Computer Integrated and Flexible Laser Processing System

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Based on the computer integrated and flexible laser p rocessing system, we developed an intelligent measuring sub-system. A novel mod el has been built to compensate the deviations of the main frame-structure, and a laser tracker system is applied to calibrate the accuracy of the system. Anal yzing the characteristics of all kind surfaces of automobile outer penal moulds and dies, the surface and border to be measured and processed are classified int o four types. A 2-D adaptive measuring method based ...

  17. Intelligent techniques for system identification and controller tuning in pH process

    Directory of Open Access Journals (Sweden)

    K. Valarmathi

    2009-03-01

    Full Text Available This paper presents an application of Artificial Neural Network (ANN and Genetic Algorithm (GA for system identification for controller tuning in a pH process. In this paper, the ANN based approach is applied to estimate the system parameters. Once the variations in parameters are identified frequently, GA optimally tunes the controller. The simulation results show that the proposed intelligent technique is effective in identifying the parameters and has resulted in a minimum value of the Integral Square Error, peak overshoot and minimum settling time as compared to conventional methods. The experimental results show that their performance is superior and it matches favorably with the simulation results.

  18. Ground Motion Data Profile of Western Turkey with Intelligent Hybrid Processing

    Science.gov (United States)

    Korkmaz, Kasim A.; Demir, Fuat

    2016-09-01

    The recent earthquakes caused severe damages on the existing buildings. By this motivation, an important amount of research work has been conducted to determine the seismic risk of seismically active regions. For an accurate seismic risk assessment, processing of ground motions would provide an advantage. Using the current technology, it is not possible to precisely predict the future earthquakes. Therefore, most of the current seismic risk assessment methodologies are based on statistical evaluation by using recurrence and magnitude of the earthquakes hit the specified region. Because of the limited number of records on earthquakes, the quality of definitions is questionable. Fuzzy logic algorithm can be used to improve the quality of the definition. In the present study, ground motion data profile of western Turkey is defined using an intelligent hybrid processing. The approach is given in a practical way for an easier and faster calculation. Earthquake data between 1970 and 1999 from western part of Turkey have been used for training. The results are tested and validated with the earthquake data between 2000 and 2015 of the same region. Enough approximation was validated between calculated values and the earthquake data by using the intelligent hybrid processing.

  19. Ground Motion Data Profile of Western Turkey with Intelligent Hybrid Processing

    Science.gov (United States)

    Korkmaz, Kasim A.; Demir, Fuat

    2017-01-01

    The recent earthquakes caused severe damages on the existing buildings. By this motivation, an important amount of research work has been conducted to determine the seismic risk of seismically active regions. For an accurate seismic risk assessment, processing of ground motions would provide an advantage. Using the current technology, it is not possible to precisely predict the future earthquakes. Therefore, most of the current seismic risk assessment methodologies are based on statistical evaluation by using recurrence and magnitude of the earthquakes hit the specified region. Because of the limited number of records on earthquakes, the quality of definitions is questionable. Fuzzy logic algorithm can be used to improve the quality of the definition. In the present study, ground motion data profile of western Turkey is defined using an intelligent hybrid processing. The approach is given in a practical way for an easier and faster calculation. Earthquake data between 1970 and 1999 from western part of Turkey have been used for training. The results are tested and validated with the earthquake data between 2000 and 2015 of the same region. Enough approximation was validated between calculated values and the earthquake data by using the intelligent hybrid processing.

  20. Gaussian process based intelligent sampling for measuring nano-structure surfaces

    Science.gov (United States)

    Sun, L. J.; Ren, M. J.; Yin, Y. H.

    2016-09-01

    Nanotechnology is the science and engineering that manipulate matters at nano scale, which can be used to create many new materials and devices with a vast range of applications. As the nanotech product increasingly enters the commercial marketplace, nanometrology becomes a stringent and enabling technology for the manipulation and the quality control of the nanotechnology. However, many measuring instruments, for instance scanning probe microscopy, are limited to relatively small area of hundreds of micrometers with very low efficiency. Therefore some intelligent sampling strategies should be required to improve the scanning efficiency for measuring large area. This paper presents a Gaussian process based intelligent sampling method to address this problem. The method makes use of Gaussian process based Bayesian regression as a mathematical foundation to represent the surface geometry, and the posterior estimation of Gaussian process is computed by combining the prior probability distribution with the maximum likelihood function. Then each sampling point is adaptively selected by determining the position which is the most likely outside of the required tolerance zone among the candidates and then inserted to update the model iteratively. Both simulationson the nominal surface and manufactured surface have been conducted on nano-structure surfaces to verify the validity of the proposed method. The results imply that the proposed method significantly improves the measurement efficiency in measuring large area structured surfaces.

  1. Minimum Bandwidth Required for Intelligibility as a Tool for Studying Speech-Processing Impairment

    Science.gov (United States)

    Noordhoek, Ingrid M.; Houtgast, Tammo; Festen, Joost M.

    In an adaptive listening test, the bandwidth of speech in complementary notched noise was varied. The bandwidth (center frequency 1 kHz) required for 50% speech intelligibility is called Speech Reception Bandwidth Threshold (SRBT). The SRBT was measured for 10 normal-hearing and 30 hearing-impaired listeners. The average SRBT of the normal-hearing listeners is 1.4 octave. The performance of seven hearing-impaired listeners is considered normal, whereas 23 hearing-impaired listeners have a wider-than-normal SRBT. The SRBT of a hearing-impaired listener may be wider than normal, due to inaudibility of a part of the speech band, or to an impairment in the processing of speech. The Speech Intelligibility Index (SII) is used to separate these effects. The SII may be regarded as the proportion of the total speech information that is available to the listener. Each individual SRBT is converted to an SII value. For the normal-hearing listeners, the SII is about 0.3. For 21 hearing-impaired listeners, the SII is higher. This points to a speech-processing impairment in the 1-kHz frequency region. The deviation of an individual SII value from 0.3 can be used to "quantify" the degree of processing impairment.

  2. Development of inherently safe and environmentally acceptable intelligent processing technologies for HTS materials

    Energy Technology Data Exchange (ETDEWEB)

    Peterson, E.J.; Wangen, L.E.; Ott, K.C.; Muenchausen, R.E.; Parkinson, W.J. (Los Alamos National Lab., NM (USA))

    1989-01-01

    The development of new processing technologies for the production, fabrication, and application of advanced materials proceeds through several complementary dimensions. The advanced materials dimension includes basic research on materials synthesis, composition, and properties; materials processing research; engineering characterization and materials applications; and product and process engineering. The health and environmental dimension includes identification of potential health and environmental constraints; characterization of candidate processes for waste and effluent quality; process optimization for both economic and environmental benefit; and development of control strategies to deal with health and environmental problems that cannot be solved through process modification. The intelligent processing dimension includes application of available sensors and the development of new diagnostics for real-time process measurements; development of control strategies and expert systems to use these process measurements for real-time process control; and development of capabilities to optimize working processes in real-time for both product quality and environmental acceptability. This paper discusses these issues in the context of the Laboratory's efforts to develop technologies based on the processing of the new high-temperature superconducting ceramic oxides.

  3. Cognitive Processing Speed, Working Memory, and the Intelligibility of Hearing Aid-Processed Speech in Persons with Hearing Impairment

    Directory of Open Access Journals (Sweden)

    Wycliffe Kabaywe Yumba

    2017-08-01

    Full Text Available Previous studies have demonstrated that successful listening with advanced signal processing in digital hearing aids is associated with individual cognitive capacity, particularly working memory capacity (WMC. This study aimed to examine the relationship between cognitive abilities (cognitive processing speed and WMC and individual listeners’ responses to digital signal processing settings in adverse listening conditions. A total of 194 native Swedish speakers (83 women and 111 men, aged 33–80 years (mean = 60.75 years, SD = 8.89, with bilateral, symmetrical mild to moderate sensorineural hearing loss who had completed a lexical decision speed test (measuring cognitive processing speed and semantic word-pair span test (SWPST, capturing WMC participated in this study. The Hagerman test (capturing speech recognition in noise was conducted using an experimental hearing aid with three digital signal processing settings: (1 linear amplification without noise reduction (NoP, (2 linear amplification with noise reduction (NR, and (3 non-linear amplification without NR (“fast-acting compression”. The results showed that cognitive processing speed was a better predictor of speech intelligibility in noise, regardless of the types of signal processing algorithms used. That is, there was a stronger association between cognitive processing speed and NR outcomes and fast-acting compression outcomes (in steady state noise. We observed a weaker relationship between working memory and NR, but WMC did not relate to fast-acting compression. WMC was a relatively weaker predictor of speech intelligibility in noise. These findings might have been different if the participants had been provided with training and or allowed to acclimatize to binary masking noise reduction or fast-acting compression.

  4. Cognitive Processing Speed, Working Memory, and the Intelligibility of Hearing Aid-Processed Speech in Persons with Hearing Impairment

    Science.gov (United States)

    Yumba, Wycliffe Kabaywe

    2017-01-01

    Previous studies have demonstrated that successful listening with advanced signal processing in digital hearing aids is associated with individual cognitive capacity, particularly working memory capacity (WMC). This study aimed to examine the relationship between cognitive abilities (cognitive processing speed and WMC) and individual listeners’ responses to digital signal processing settings in adverse listening conditions. A total of 194 native Swedish speakers (83 women and 111 men), aged 33–80 years (mean = 60.75 years, SD = 8.89), with bilateral, symmetrical mild to moderate sensorineural hearing loss who had completed a lexical decision speed test (measuring cognitive processing speed) and semantic word-pair span test (SWPST, capturing WMC) participated in this study. The Hagerman test (capturing speech recognition in noise) was conducted using an experimental hearing aid with three digital signal processing settings: (1) linear amplification without noise reduction (NoP), (2) linear amplification with noise reduction (NR), and (3) non-linear amplification without NR (“fast-acting compression”). The results showed that cognitive processing speed was a better predictor of speech intelligibility in noise, regardless of the types of signal processing algorithms used. That is, there was a stronger association between cognitive processing speed and NR outcomes and fast-acting compression outcomes (in steady state noise). We observed a weaker relationship between working memory and NR, but WMC did not relate to fast-acting compression. WMC was a relatively weaker predictor of speech intelligibility in noise. These findings might have been different if the participants had been provided with training and or allowed to acclimatize to binary masking noise reduction or fast-acting compression. PMID:28861009

  5. Recommended Processes and Best Practices for Nondestructive Inspection (NDI) of Safety-Of-Flight Structures

    Science.gov (United States)

    2008-10-01

    composite materials, a fiber and resin description including number of plies and fiber stack -up directions is required. A complete material description of...must match the target inspection in terms of materials, stack -up thicknesses, fasteners, coatings, etc. Fabricate the master standard 39 with...95-02 Nondestructive Testing Information Analysis Center Austin, TX. , May 1996. 16. B.G.W. Yee, F.H. Chang, J.C. Couchman, G. H. Lemon , and P. F

  6. Study of an intelligent system for wells elevation and petroliferous processes control; Estudo de um sistema inteligente para elevacao de pocos e controle de processos petroliferos

    Energy Technology Data Exchange (ETDEWEB)

    Patricio, Antonio Rodrigues

    1996-11-01

    The petroleum production problems were studied by means of an integrated process evaluation of a rod pumping well, a gas lift well and a process until for produced fluids. Using the artificial intelligent concepts as fuzzy logic and neural systems is presented SIEP, An Intelligent for Production Lift and Process Control, aimed to do the integrated management of the petroleum production process. (author)

  7. Application of GIS+GPS Intelligent Inspection System in Transmission Line Management%智能巡检管理系统在电力线路巡检中的应用

    Institute of Scientific and Technical Information of China (English)

    孙俊杰

    2011-01-01

    Transmission lines are basic component of power systems.The inspection management is critical and effective to guarantee the security of transmission lines and electrical equipments.This dissertation discusses the intelligent inspection management system based on the global positioning system(GPS),the geographic information system(GIS),and the personal digital assistant(PDA).This system uses the client/server network architecture.It is composed of the handset and the backstage supervisor,which unifies the functions of the computer,the network communication,and the embedded technology,with notable advantages in such aspects of principle,reliability,feasibility,and extendibility.The practical application indicates that this system may satisfy the inspection task with high speed,high efficiency,and prompt request.It improves the traditional inspection manner,explores the new method for transmission line inspection,reduces the possibility of omission or wrong inspection,and guarantees long-term efficient steady operation of the transmission lines.%电力线路是电力系统的重要组成部分,电力线路巡检管理是有效保证电力线路及其设备安全的一项基础工作。文章重点阐述了基于全球定位系统(Global Positioning System,GPS)并与GIS(地理信息系统)、掌上电脑(PDA)相结合的智能电力线路巡检管理系统。该系统采用客户机/服务器网络结构,由手持机和后台管理机组成,集计算机、网络通信和嵌入式技术为一体,在实现原理、可靠性、实用性和可扩展性等方面有明显优势。实际应用表明该系统能有效满足巡检工作快速、高效、及时的要求。通过变革传统巡检工作方式,积极探索出线路巡检管理的新思路、新模式,最大限度减少漏检、错检,确保电力线路长期高效稳定运行。

  8. A New Efficient Hybrid Intelligent Model for Biodegradation Process of DMP with Fuzzy Wavelet Neural Networks

    Science.gov (United States)

    Huang, Mingzhi; Zhang, Tao; Ruan, Jujun; Chen, Xiaohong

    2017-01-01

    A new efficient hybrid intelligent approach based on fuzzy wavelet neural network (FWNN) was proposed for effectively modeling and simulating biodegradation process of Dimethyl phthalate (DMP) in an anaerobic/anoxic/oxic (AAO) wastewater treatment process. With the self learning and memory abilities of neural networks (NN), handling uncertainty capacity of fuzzy logic (FL), analyzing local details superiority of wavelet transform (WT) and global search of genetic algorithm (GA), the proposed hybrid intelligent model can extract the dynamic behavior and complex interrelationships from various water quality variables. For finding the optimal values for parameters of the proposed FWNN, a hybrid learning algorithm integrating an improved genetic optimization and gradient descent algorithm is employed. The results show, compared with NN model (optimized by GA) and kinetic model, the proposed FWNN model have the quicker convergence speed, the higher prediction performance, and smaller RMSE (0.080), MSE (0.0064), MAPE (1.8158) and higher R2 (0.9851) values. which illustrates FWNN model simulates effluent DMP more accurately than the mechanism model.

  9. A New Efficient Hybrid Intelligent Model for Biodegradation Process of DMP with Fuzzy Wavelet Neural Networks

    Science.gov (United States)

    Huang, Mingzhi; Zhang, Tao; Ruan, Jujun; Chen, Xiaohong

    2017-01-01

    A new efficient hybrid intelligent approach based on fuzzy wavelet neural network (FWNN) was proposed for effectively modeling and simulating biodegradation process of Dimethyl phthalate (DMP) in an anaerobic/anoxic/oxic (AAO) wastewater treatment process. With the self learning and memory abilities of neural networks (NN), handling uncertainty capacity of fuzzy logic (FL), analyzing local details superiority of wavelet transform (WT) and global search of genetic algorithm (GA), the proposed hybrid intelligent model can extract the dynamic behavior and complex interrelationships from various water quality variables. For finding the optimal values for parameters of the proposed FWNN, a hybrid learning algorithm integrating an improved genetic optimization and gradient descent algorithm is employed. The results show, compared with NN model (optimized by GA) and kinetic model, the proposed FWNN model have the quicker convergence speed, the higher prediction performance, and smaller RMSE (0.080), MSE (0.0064), MAPE (1.8158) and higher R2 (0.9851) values. which illustrates FWNN model simulates effluent DMP more accurately than the mechanism model. PMID:28120889

  10. A Spatially Intelligent Public Participation System for the Environmental Impact Assessment Process

    Directory of Open Access Journals (Sweden)

    Lei Lei

    2013-05-01

    Full Text Available An environmental impact assessment (EIA is a decision-making process that evaluates the possible significant effects that a proposed project may exert on the environment. The EIA scoping and reviewing stages often involve public participation. Although its importance has long been recognized, public participation in the EIA process is often regarded as ineffective, due to time, budget, resource, technical and procedural constraints, as well as the complexity of environmental information. Geographic Information System (GIS and Volunteer Geographic Information (VGI have the potential to contribute to data collection, sharing and presentation, utilize local user-generated content to benefit decision-making and increase public outreach. This research integrated GIS, VGI, social media tools, data mining and mobile technology to design a spatially intelligent framework that presented and shared EIA information effectively to the public. A spatially intelligent public participative system (SIPPS was also developed as a proof-of-concept of the framework. The research selected the Tehachapi Renewable Transmission Project (TRTP as the pilot study area. Survey questionnaires were designed to collect feedback and conduct evaluation. Results show that SIPPS was able to improve the effectiveness of public participation, promote environmental awareness and achieve good system usability.

  11. Open-source intelligence in the Czech military knowledge syst em and process design

    OpenAIRE

    Krejci, Roman

    2002-01-01

    Owing to the recent transitions in the Czech Republic, the Czech military must satisfy a large set of new requirements. One way the military intelligence can become more effective and can conserve resources is by increasing the efficiency of open-source intelligence (OSINT), which plays an important part in intelligence gathering in the age of information. When using OSINT effectively, the military intelligence can elevate its responsiveness to different types of crises and can also properly ...

  12. Report: Examination of Pilot Peer Review Process for Inspectors General That Follow “Blue Book” Quality Standards for Inspection and Evaluation

    Science.gov (United States)

    Report #16-N-0317, Sept 21, 2016. A peer review process that measures adherence to all the quality standards for federal Inspector General Inspection and Evaluation offices provides assurance that participating offices are being adequately evaluated.

  13. Tire Processing Facilities, Location of motor vehicle inspection sites within Louisiana, Published in 2005, 1:24000 (1in=2000ft) scale, Louisiana State University.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Tire Processing Facilities dataset, published at 1:24000 (1in=2000ft) scale as of 2005. It is described as 'Location of motor vehicle inspection sites within...

  14. Emotional Intelligence Tests: Potential Impacts on the Hiring Process for Accounting Students

    Science.gov (United States)

    Nicholls, Shane; Wegener, Matt; Bay, Darlene; Cook, Gail Lynn

    2012-01-01

    Emotional intelligence is increasingly recognized as being important for professional career success. Skills related to emotional intelligence (e.g. organizational commitment, public speaking, teamwork, and leadership) are considered essential. Human resource professionals have begun including tests of emotional intelligence (EI) in job applicant…

  15. Intelligent monitoring and fault diagnosis for ATLAS TDAQ: a complex event processing solution

    CERN Document Server

    Magnoni, Luca; Luppi, Eleonora

    Effective monitoring and analysis tools are fundamental in modern IT infrastructures to get insights on the overall system behavior and to deal promptly and effectively with failures. In recent years, Complex Event Processing (CEP) technologies have emerged as effective solutions for information processing from the most disparate fields: from wireless sensor networks to financial analysis. This thesis proposes an innovative approach to monitor and operate complex and distributed computing systems, in particular referring to the ATLAS Trigger and Data Acquisition (TDAQ) system currently in use at the European Organization for Nuclear Research (CERN). The result of this research, the AAL project, is currently used to provide ATLAS data acquisition operators with automated error detection and intelligent system analysis. The thesis begins by describing the TDAQ system and the controlling architecture, with a focus on the monitoring infrastructure and the expert system used for error detection and automated reco...

  16. The Viewpoint Paradigm: a semiotic based approach for the intelligibility of a cooperative designing process

    Directory of Open Access Journals (Sweden)

    Pierre-Jean Charrel

    2002-11-01

    Full Text Available The concept of viewpoint is studied in the field of the modelling and the knowledge management concerned in the upstream phases of a designing process. The concept is approached by semiotics, i.e. in dealing with the requirements so that an actor gives sense to an object. This gives means to transform the intuitive concepts of viewpoint and relation between viewpoints into the Viewpoint Paradigm: the sense of an object is the integration of the viewpoints which exert on it. The elements of this paradigm are integrated in a general model, which defines two concepts formally: Viewpoint and Correlation of viewpoints. The Viewpoint Paradigm is then implemented in operational concerns which are related with the intelligibility of the designing process. Two models of viewpoint and correlation are proposed. They raise of viewpoints management such as one can identify them in the written documents of a project.

  17. Key issues in automatic classification of defects in post-inspection review process of photomasks

    Science.gov (United States)

    Pereira, Mark; Maji, Manabendra; Pai, Ravi R.; B. V. R., Samir; Seshadri, R.; Patil, Pradeepkumar

    2012-11-01

    The mask inspection and defect classification is a crucial part of mask preparation technology and consumes a significant amount of mask preparation time. As the patterns on a mask become smaller and more complex, the need for a highly precise mask inspection system with high detection sensitivity becomes greater. However, due to the high sensitivity, in addition to the detection of smaller defects on finer geometries, the inspection machine could report large number of false defects. The total number of defects becomes significantly high and the manual classification of these defects, where the operator should review each of the defects and classify them, may take huge amount of time. Apart from false defects, many of the very small real defects may not print on the wafer and user needs to spend time on classifying them as well. Also, sometimes, manual classification done by different operators may not be consistent. So, need for an automatic, consistent and fast classification tool becomes more acute in more advanced nodes. Automatic Defect Classification tool (NxADC) which is in advanced stage of development as part of NxDAT1, can automatically classify defects accurately and consistently in very less amount of time, compared to a human operator. Amongst the prospective defects as detected by the Mask Inspection System, NxADC identifies several types of false defects such as false defects due to registration error, false defects due to problems with CCD, noise, etc. It is also able to automatically classify real defects such as, pin-dot, pin-hole, clear extension, multiple-edges opaque, missing chrome, chrome-over-MoSi, etc. We faced a large set of algorithmic challenges during the course of the development of our NxADC tool. These include selecting the appropriate image alignment algorithm to detect registration errors (especially when there are sub-pixel registration errors or misalignment in repetitive patterns such as line space), differentiating noise from

  18. New approach to intelligent control systems with self-exploring process.

    Science.gov (United States)

    Chen, Liang-Hsuan; Chiang, Cheng-Hsiung

    2003-01-01

    This paper proposes an intelligent control system called self-exploring-based intelligent control system (SEICS). The SEICS is comprised of three basic mechanisms, namely, controller, performance evaluator (PE), and adaptor. The controller is constructed by a fuzzy neural network (FNN) to carry out the control tasks. The PE is used to determine whether or not the controller's performance is satisfactory. The adaptor, comprised of two elements, action explorer (AE) and rule generator (RG), plays the main role in the system for generating new control behaviors in order to enhance the control performance. AE operates through a three-stage self-exploration process to explore new actions, which is realized by the multiobjective genetic algorithm (GA). The RG transforms control actions to fuzzy rules based on a numerical method. The application of the adaptor can make a control system more adaptive in various environments. A simulation of robotic path-planning is used to demonstrate the proposed model. The results show that the robot reaches the target point from the start point successfully in the lack-of-information and changeable environments.

  19. Intelligent Machine Vision Based Modeling and Positioning System in Sand Casting Process

    Directory of Open Access Journals (Sweden)

    Shahid Ikramullah Butt

    2017-01-01

    Full Text Available Advanced vision solutions enable manufacturers in the technology sector to reconcile both competitive and regulatory concerns and address the need for immaculate fault detection and quality assurance. The modern manufacturing has completely shifted from the manual inspections to the machine assisted vision inspection methodology. Furthermore, the research outcomes in industrial automation have revolutionized the whole product development strategy. The purpose of this research paper is to introduce a new scheme of automation in the sand casting process by means of machine vision based technology for mold positioning. Automation has been achieved by developing a novel system in which casting molds of different sizes, having different pouring cup location and radius, position themselves in front of the induction furnace such that the center of pouring cup comes directly beneath the pouring point of furnace. The coordinates of the center of pouring cup are found by using computer vision algorithms. The output is then transferred to a microcontroller which controls the alignment mechanism on which the mold is placed at the optimum location.

  20. Intelligent sensors research using pulse-coupled neural networks for focal plane image processing

    Science.gov (United States)

    Tarr, Gregory L.; Carreras, Richard A.; DeHainaut, Christopher R.; Clastres, Xavier; Freyss, Laurent; Samuelides, Manuel

    1996-03-01

    An important difference between biological vision systems and their electronic counterparts is the large number of feedback signals controlling each aspect of the image collection process. For every forward path of information in the brain, from sensor to comprehension, there appears to be several neural bundles which send information back to the sensor to modify the way the information is collected. In this paper we will examine the role of such feedback signals and suggest algorithms for intelligent processing of images directly on the focal plane, using feedback. We consider first what form these signals might take and how they can be used to implement functions common to conventional image processing with the objective of moving the computation out of the digital domain and place much of its on the focal plane, or analog processing close to the focal plane. While this work falls under the general heading of artificial neural networks, it goes beyond the static processing of signals suggested by the McCulloch and Pitts model of the neuron and the Laplacian image processing suggested by Carver Mead by including the dynamics of temporal encoding in the analysis process.

  1. Fluid Intelligence and Automatic Neural Processes in Facial Expression Perception: An Event-Related Potential Study.

    Directory of Open Access Journals (Sweden)

    Tongran Liu

    Full Text Available The relationship between human fluid intelligence and social-emotional abilities has been a topic of considerable interest. The current study investigated whether adolescents with different intellectual levels had different automatic neural processing of facial expressions. Two groups of adolescent males were enrolled: a high IQ group and an average IQ group. Age and parental socioeconomic status were matched between the two groups. Participants counted the numbers of the central cross changes while paired facial expressions were presented bilaterally in an oddball paradigm. There were two experimental conditions: a happy condition, in which neutral expressions were standard stimuli (p = 0.8 and happy expressions were deviant stimuli (p = 0.2, and a fearful condition, in which neutral expressions were standard stimuli (p = 0.8 and fearful expressions were deviant stimuli (p = 0.2. Participants were required to concentrate on the primary task of counting the central cross changes and to ignore the expressions to ensure that facial expression processing was automatic. Event-related potentials (ERPs were obtained during the tasks. The visual mismatch negativity (vMMN components were analyzed to index the automatic neural processing of facial expressions. For the early vMMN (50-130 ms, the high IQ group showed more negative vMMN amplitudes than the average IQ group in the happy condition. For the late vMMN (320-450 ms, the high IQ group had greater vMMN responses than the average IQ group over frontal and occipito-temporal areas in the fearful condition, and the average IQ group evoked larger vMMN amplitudes than the high IQ group over occipito-temporal areas in the happy condition. The present study elucidated the close relationships between fluid intelligence and pre-attentive change detection on social-emotional information.

  2. Fluid Intelligence and Automatic Neural Processes in Facial Expression Perception: An Event-Related Potential Study.

    Science.gov (United States)

    Liu, Tongran; Xiao, Tong; Li, Xiaoyan; Shi, Jiannong

    2015-01-01

    The relationship between human fluid intelligence and social-emotional abilities has been a topic of considerable interest. The current study investigated whether adolescents with different intellectual levels had different automatic neural processing of facial expressions. Two groups of adolescent males were enrolled: a high IQ group and an average IQ group. Age and parental socioeconomic status were matched between the two groups. Participants counted the numbers of the central cross changes while paired facial expressions were presented bilaterally in an oddball paradigm. There were two experimental conditions: a happy condition, in which neutral expressions were standard stimuli (p = 0.8) and happy expressions were deviant stimuli (p = 0.2), and a fearful condition, in which neutral expressions were standard stimuli (p = 0.8) and fearful expressions were deviant stimuli (p = 0.2). Participants were required to concentrate on the primary task of counting the central cross changes and to ignore the expressions to ensure that facial expression processing was automatic. Event-related potentials (ERPs) were obtained during the tasks. The visual mismatch negativity (vMMN) components were analyzed to index the automatic neural processing of facial expressions. For the early vMMN (50-130 ms), the high IQ group showed more negative vMMN amplitudes than the average IQ group in the happy condition. For the late vMMN (320-450 ms), the high IQ group had greater vMMN responses than the average IQ group over frontal and occipito-temporal areas in the fearful condition, and the average IQ group evoked larger vMMN amplitudes than the high IQ group over occipito-temporal areas in the happy condition. The present study elucidated the close relationships between fluid intelligence and pre-attentive change detection on social-emotional information.

  3. Predicting speech intelligibility based on the signal-to-noise envelope power ratio after modulation-frequency selective processing.

    Science.gov (United States)

    Jørgensen, Søren; Dau, Torsten

    2011-09-01

    A model for predicting the intelligibility of processed noisy speech is proposed. The speech-based envelope power spectrum model has a similar structure as the model of Ewert and Dau [(2000). J. Acoust. Soc. Am. 108, 1181-1196], developed to account for modulation detection and masking data. The model estimates the speech-to-noise envelope power ratio, SNR(env), at the output of a modulation filterbank and relates this metric to speech intelligibility using the concept of an ideal observer. Predictions were compared to data on the intelligibility of speech presented in stationary speech-shaped noise. The model was further tested in conditions with noisy speech subjected to reverberation and spectral subtraction. Good agreement between predictions and data was found in all cases. For spectral subtraction, an analysis of the model's internal representation of the stimuli revealed that the predicted decrease of intelligibility was caused by the estimated noise envelope power exceeding that of the speech. The classical concept of the speech transmission index fails in this condition. The results strongly suggest that the signal-to-noise ratio at the output of a modulation frequency selective process provides a key measure of speech intelligibility.

  4. Argumentative SOX Compliant and Quality Decision Support Intelligent Expert System over the Suppliers Selection Process

    Directory of Open Access Journals (Sweden)

    Jesus Angel Fernandez Canelas

    2013-01-01

    Full Text Available The objective of this paper is to define a decision support system over SOX (Sarbanes-Oxley Act compatibility and quality of the Suppliers Selection Process based on Artificial Intelligence and Argumentation Theory knowledge and techniques. The present SOX Law, in effect nowadays, was created to improve financial government control over US companies. This law is a factor standard out United States due to several factors like present globalization, expansion of US companies, or key influence of US stock exchange markets worldwide. This paper constitutes a novel approach to this kind of problems due to following elements: (1 it has an optimized structure to look for the solution, (2 it has a dynamic learning method to handle court and control gonvernment bodies decisions, (3 it uses fuzzy knowledge to improve its performance, and (4 it uses its past accumulated experience to let the system evolve far beyond its initial state.

  5. Study on robot motion control for intelligent welding processes based on the laser tracking sensor

    Science.gov (United States)

    Zhang, Bin; Wang, Qian; Tang, Chen; Wang, Ju

    2017-06-01

    A robot motion control method is presented for intelligent welding processes of complex spatial free-form curve seams based on the laser tracking sensor. First, calculate the tip position of the welding torch according to the velocity of the torch and the seam trajectory detected by the sensor. Then, search the optimal pose of the torch under constraints using genetic algorithms. As a result, the intersection point of the weld seam and the laser plane of the sensor is within the detectable range of the sensor. Meanwhile, the angle between the axis of the welding torch and the tangent of the weld seam meets the requirements. The feasibility of the control method is proved by simulation.

  6. The process of motor transport technology development in intelligent transport systems

    Directory of Open Access Journals (Sweden)

    Rudzinska O.V.

    2016-08-01

    Full Text Available Traffic is now regarded as one of the most complicated components of social and economic development in cities and suburban regions. The most advanced technologies for collecting and processing information about traffic parameters (density, speed, rolling stock should be used in these areas to ensure non-stop traffic flow on the roads. Methodological formation of ITS is based on the systematic approach, which considers the development of ITS services as a system rather than individual modules. Therefore a single open system architecture, protocols, information exchange, form of transport documents, standardization of means of communication parameters used for monitoring and control of vehicles are formed. Some specifications for the list of functions and service groups were made while searching for a solution of transport technology domain problems - commercial vehicles. Typical issues solved in service groups, on organisation of trucking transportations using the intelligent transport systems were defined – interpretation, diagnosis, monitoring, synthesis, forecasting, training and supporting the decisions already taken.

  7. ECG Signal Processing, Classification and Interpretation A Comprehensive Framework of Computational Intelligence

    CERN Document Server

    Pedrycz, Witold

    2012-01-01

    Electrocardiogram (ECG) signals are among the most important sources of diagnostic information in healthcare so improvements in their analysis may also have telling consequences. Both the underlying signal technology and a burgeoning variety of algorithms and systems developments have proved successful targets for recent rapid advances in research. ECG Signal Processing, Classification and Interpretation shows how the various paradigms of Computational Intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. Neural networks do well at capturing the nonlinear nature of the signals, information granules realized as fuzzy sets help to confer interpretability on the data and evolutionary optimization may be critical in supporting the structural development of ECG classifiers and models of ECG signals. The contributors address concepts, methodology, algorithms, and case studies and applications exploiting the paradigm of Comp...

  8. An Intelligent Complex Event Processing with D Numbers under Fuzzy Environment

    Directory of Open Access Journals (Sweden)

    Fuyuan Xiao

    2016-01-01

    Full Text Available Efficient matching of incoming mass events to persistent queries is fundamental to complex event processing systems. Event matching based on pattern rule is an important feature of complex event processing engine. However, the intrinsic uncertainty in pattern rules which are predecided by experts increases the difficulties of effective complex event processing. It inevitably involves various types of the intrinsic uncertainty, such as imprecision, fuzziness, and incompleteness, due to the inability of human beings subjective judgment. Nevertheless, D numbers is a new mathematic tool to model uncertainty, since it ignores the condition that elements on the frame must be mutually exclusive. To address the above issues, an intelligent complex event processing method with D numbers under fuzzy environment is proposed based on the Technique for Order Preferences by Similarity to an Ideal Solution (TOPSIS method. The novel method can fully support decision making in complex event processing systems. Finally, a numerical example is provided to evaluate the efficiency of the proposed method.

  9. Artificial Intelligence Mechanisms on Interactive Modified Simplex Method with Desirability Function for Optimising Surface Lapping Process

    Directory of Open Access Journals (Sweden)

    Pongchanun Luangpaiboon

    2014-01-01

    Full Text Available A study has been made to optimise the influential parameters of surface lapping process. Lapping time, lapping speed, downward pressure, and charging pressure were chosen from the preliminary studies as parameters to determine process performances in terms of material removal, lap width, and clamp force. The desirability functions of the-nominal-the-best were used to compromise multiple responses into the overall desirability function level or D response. The conventional modified simplex or Nelder-Mead simplex method and the interactive desirability function are performed to optimise online the parameter levels in order to maximise the D response. In order to determine the lapping process parameters effectively, this research then applies two powerful artificial intelligence optimisation mechanisms from harmony search and firefly algorithms. The recommended condition of (lapping time, lapping speed, downward pressure, and charging pressure at (33, 35, 6.0, and 5.0 has been verified by performing confirmation experiments. It showed that the D response level increased to 0.96. When compared with the current operating condition, there is a decrease of the material removal and lap width with the improved process performance indices of 2.01 and 1.14, respectively. Similarly, there is an increase of the clamp force with the improved process performance index of 1.58.

  10. Inter-organizational Workflow for Intelligent Audit of Information Technologies in terms of Entreprise Business Processes

    Directory of Open Access Journals (Sweden)

    Meriyem Chergui

    2014-06-01

    Full Text Available IT governance is critical to the success of Enterprise governance by providing effective, efficient and measurable improvements in business processes by ensuring that information technologies are in line with business objectives. Consequently, this paper provides an intelligent solution to audit Information System Business processes using the IT Governance Framework COBIT. The particularity of this solution is the use of Inter-organization Workflows (IOW, Multi-agent System and semantic web. In fact Inter-Organizational Workflow is used to cooperate autonomous, heterogeneous and distributed organizations processes to reach a common goal. In this paper case the goal is the dynamic alignment of every Business Process with the convenient Information System component and this through a permanent interaction with different stockholders. Multi-agent Systems (MAS are known as the natural solution for IOW modeling since they provide dynamic modification and execution of adaptive processes. In addition, MAS have the ability to describe distribution and coordination of IOW organizations in micro and macro level, with high level communication protocols. As for the semantic web, the proposed IT Governance IOW based on COBIT, has the principal role to match Enterprise real Business Goals with COBIT Business goals , so the use of the semantic web is a way to share business terminology and avoid semantic conflict for a correct and efficient Audit operation.

  11. Real-time operation guide system for sintering process with artificial intelligence

    Institute of Scientific and Technical Information of China (English)

    FAN Xiao-hui; CHEN Xu-ling; JIANG Tao; LI Tao

    2005-01-01

    In order to optimize the sintering process, a real-time operation guide system with artificial intelligence was developed, mainly including the data acquisition online subsystem, the sinter chemical composition controller, the sintering process state controller, and the abnormal conditions diagnosis subsystem. Knowledge base of the sintering process controlling was constructed, and inference engine of the system was established. Sinter chemical compositions were controlled by the strategies of self-adaptive prediction, internal optimization and center on basicity. And the state of sintering was stabilized centering on permeability. In order to meet the needs of process change and make the system clear, the system has learning ability and explanation function. The software of the system was developed in Visual C++ programming language. The application of the system shows that the hitting accuracy of sinter compositions and burning through point prediction are more than 85%; the first-grade rate of sinter chemical composition, stability rate of burning through point and stability rate of sintering process are increased by 3%, 9% and 4%, respectively.

  12. The Relationship between Emotional Intelligence and Cool and Hot Cognitive Processes: A Systematic Review.

    Science.gov (United States)

    Gutiérrez-Cobo, María José; Cabello, Rosario; Fernández-Berrocal, Pablo

    2016-01-01

    Although emotion and cognition were considered to be separate aspects of the psyche in the past, researchers today have demonstrated the existence of an interplay between the two processes. Emotional intelligence (EI), or the ability to perceive, use, understand, and regulate emotions, is a relatively young concept that attempts to connect both emotion and cognition. While EI has been demonstrated to be positively related to well-being, mental and physical health, and non-aggressive behaviors, little is known about its underlying cognitive processes. The aim of the present study was to systematically review available evidence about the relationship between EI and cognitive processes as measured through "cool" (i.e., not emotionally laden) and "hot" (i.e., emotionally laden) laboratory tasks. We searched Scopus and Medline to find relevant articles in Spanish and English, and divided the studies following two variables: cognitive processes (hot vs. cool) and EI instruments used (performance-based ability test, self-report ability test, and self-report mixed test). We identified 26 eligible studies. The results provide a fair amount of evidence that performance-based ability EI (but not self-report EI tests) is positively related with efficiency in hot cognitive tasks. EI, however, does not appear to be related with cool cognitive tasks: neither through self-reporting nor through performance-based ability instruments. These findings suggest that performance-based ability EI could improve individuals' emotional information processing abilities.

  13. The Relationship between Emotional Intelligence and Cool and Hot Cognitive Processes: A Systematic Review

    Science.gov (United States)

    Gutiérrez-Cobo, María José; Cabello, Rosario; Fernández-Berrocal, Pablo

    2016-01-01

    Although emotion and cognition were considered to be separate aspects of the psyche in the past, researchers today have demonstrated the existence of an interplay between the two processes. Emotional intelligence (EI), or the ability to perceive, use, understand, and regulate emotions, is a relatively young concept that attempts to connect both emotion and cognition. While EI has been demonstrated to be positively related to well-being, mental and physical health, and non-aggressive behaviors, little is known about its underlying cognitive processes. The aim of the present study was to systematically review available evidence about the relationship between EI and cognitive processes as measured through “cool” (i.e., not emotionally laden) and “hot” (i.e., emotionally laden) laboratory tasks. We searched Scopus and Medline to find relevant articles in Spanish and English, and divided the studies following two variables: cognitive processes (hot vs. cool) and EI instruments used (performance-based ability test, self-report ability test, and self-report mixed test). We identified 26 eligible studies. The results provide a fair amount of evidence that performance-based ability EI (but not self-report EI tests) is positively related with efficiency in hot cognitive tasks. EI, however, does not appear to be related with cool cognitive tasks: neither through self-reporting nor through performance-based ability instruments. These findings suggest that performance-based ability EI could improve individuals’ emotional information processing abilities. PMID:27303277

  14. A New Tool for Intelligent Parallel Processing of Radar/SAR Remotely Sensed Imagery

    Directory of Open Access Journals (Sweden)

    A. Castillo Atoche

    2013-01-01

    Full Text Available A novel parallel tool for large-scale image enhancement/reconstruction and postprocessing of radar/SAR sensor systems is addressed. The proposed parallel tool performs the following intelligent processing steps: image formation, for the application of different system-level effects of image degradation with a particular remote sensing (RS system and simulation of random noising effects, enhancement/reconstruction by employing nonparametric robust high-resolution techniques, and image postprocessing using the fuzzy anisotropic diffusion technique which incorporates a better edge-preserving noise removal effect and faster diffusion process. This innovative tool allows the processing of high-resolution images provided with different radar/SAR sensor systems as required by RS endusers for environmental monitoring, risk prevention, and resource management. To verify the performance implementation of the proposed parallel framework, the processing steps are developed and specifically tested on graphic processing units (GPU, achieving considerable speedups compared to the serial version of the same techniques implemented in C language.

  15. Inspection Database

    Data.gov (United States)

    U.S. Department of Health & Human Services — FDA is disclosing the final inspection classification for inspections related to currently marketed FDA-regulated products. The disclosure of this information is...

  16. Inspection Database

    Data.gov (United States)

    U.S. Department of Health & Human Services — FDA is disclosing the final inspection classification for inspections related to currently marketed FDA-regulated products. The disclosure of this information is not...

  17. Effect of promoting self-esteem by participatory learning process on emotional intelligence among early adolescents.

    Science.gov (United States)

    Munsawaengsub, Chokchai; Yimklib, Somkid; Nanthamongkolchai, Sutham; Apinanthavech, Suporn

    2009-12-01

    To study the effect of promoting self-esteem by participatory learning program on emotional intelligence among early adolescents. The quasi-experimental study was conducted in grade 9 students from two schools in Bangbuathong district, Nonthaburi province. Each experimental and comparative group consisted of 34 students with the lowest score of emotional intelligence. The instruments were questionnaires, Program to Develop Emotional Intelligence and Handbook of Emotional Intelligence Development. The experimental group attended 8 participatory learning activities in 4 weeks to Develop Emotional Intelligence while the comparative group received the handbook for self study. Assessment the effectiveness of program was done by pre-test and post-test immediately and 4 weeks apart concerning the emotional intelligence. Implementation and evaluation was done during May 24-August 12, 2005. Data were analyzed by frequency, percentage, mean, standard deviation, Chi-square, independent sample t-test and paired sample t-test. Before program implementation, both groups had no statistical difference in mean score of emotional intelligence. After intervention, the experimental group had higher mean score of emotional intelligence both immediately and 4 weeks later with statistical significant (p = 0.001 and emotional intelligence in early-adolescent. This program could be modified and implemented for early adolescent in the community.

  18. Information Design for “Weak Signal” detection and processing in Economic Intelligence: A case study on Health resources

    Directory of Open Access Journals (Sweden)

    Sahbi Sidhom

    2011-12-01

    Full Text Available The topics of this research cover all phases of “Information Design” applied to detect and profit from weak signals in economic intelligence (EI or business intelligence (BI. The field of the information design (ID applies to the process of translating complex, unorganized or unstructured data into valuable and meaningful information. ID practice requires an interdisciplinary approach, which combines skills in graphic design (writing, analysis processing and editing, human performances technology and human factors. Applied in the context of information system, it allows end-users to easily detect implicit topics known as “weak signals” (WS. In our approach to implement the ID, the processes cover the development of a knowledge management (KM process in the context of EI. A case study concerning information monitoring health resources is presented using ID processes to outline weak signals. Both French and American bibliographic databases were applied to make the connection to multilingual concepts in the health watch process.

  19. INTELLIGENT MONITORING SYSTEM WITH HIGH TEMPERATURE DISTRIBUTED FIBEROPTIC SENSOR FOR POWER PLANT COMBUSTION PROCESSES

    Energy Technology Data Exchange (ETDEWEB)

    Kwang Y. Lee; Stuart S. Yin; Andre Boheman

    2003-12-26

    The objective of the proposed work is to develop an intelligent distributed fiber optical sensor system for real-time monitoring of high temperature in a boiler furnace in power plants. Of particular interest is the estimation of spatial and temporal distributions of high temperatures within a boiler furnace, which will be essential in assessing and controlling the mechanisms that form and remove pollutants at the source, such as NOx. The basic approach in developing the proposed sensor system is three fold: (1) development of high temperature distributed fiber optical sensor capable of measuring temperatures greater than 2000 C degree with spatial resolution of less than 1 cm; (2) development of distributed parameter system (DPS) models to map the three-dimensional (3D) temperature distribution for the furnace; and (3) development of an intelligent monitoring system for real-time monitoring of the 3D boiler temperature distribution. Under Task 1, the efforts focused on developing an innovative high temperature distributed fiber optic sensor by fabricating in-fiber gratings in single crystal sapphire fibers. So far, our major accomplishments include: Successfully grown alumina cladding layers on single crystal sapphire fibers, successfully fabricated in-fiber gratings in single crystal sapphire fibers, and successfully developed a high temperature distributed fiber optic sensor. Under Task 2, the emphasis has been on putting into place a computational capability for simulation of combustors. A PC workstation was acquired with dual Xeon processors and sufficient memory to support 3-D calculations. An existing license for Fluent software was expanded to include two PC processes, where the existing license was for a Unix workstation. Under Task 3, intelligent state estimation theory is being developed which will map the set of 1D (located judiciously within a 3D environment) measurement data into a 3D temperature profile. This theory presents a semigroup

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1996-03-01

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

  1. Validation of the Luria-Nebraska Intellectual Processes Scale as a Measure of Intelligence in Male Alcoholics.

    Science.gov (United States)

    Kivlahan, Daniel R.; And Others

    1985-01-01

    Investigated the Luria-Nebraska Intellectual Processes Scale (IPS) as a predictor of Wechsler Adult Intelligence Scale (WAIS) IQs among alcoholic inpatients. Strong correlations were found between IPS and WAIS Verbal IQ and Full Scale IQ; however, the correlation with Performance IQ was only -.41. (NRB)

  2. Validation of the Luria-Nebraska Intellectual Processes Scale as a Measure of Intelligence in Male Alcoholics.

    Science.gov (United States)

    Kivlahan, Daniel R.; And Others

    1985-01-01

    Investigated the Luria-Nebraska Intellectual Processes Scale (IPS) as a predictor of Wechsler Adult Intelligence Scale (WAIS) IQs among alcoholic inpatients. Strong correlations were found between IPS and WAIS Verbal IQ and Full Scale IQ; however, the correlation with Performance IQ was only -.41. (NRB)

  3. Teachers' Perceptions of the Utilisation of Emotional Intelligence by Their School Principals to Manage Mandated Curriculum Change Processes

    Science.gov (United States)

    Grobler, Bennie; Moloi, Connie; Thakhordas, Sunita

    2017-01-01

    This quantitative study investigates teachers' perceptions of how Emotional Intelligence (EI) was utilised by their school principals to manage mandated curriculum change processes in schools in the Johannesburg North district of Gauteng in South Africa. Research shows that EI consists of a range of fundamental skills that could enable school…

  4. Predicting speech intelligibility based on the signal-to-noise envelope power ratio after modulation-frequency selective processing

    DEFF Research Database (Denmark)

    Jørgensen, Søren; Dau, Torsten

    2011-01-01

    A model for predicting the intelligibility of processed noisy speech is proposed. The speech-based envelope power spectrum model has a similar structure as the model of Ewert and Dau [(2000). J. Acoust. Soc. Am. 108, 1181-1196], developed to account for modulation detection and masking data....... The model estimates the speech-to-noise envelope power ratio, SNR env, at the output of a modulation filterbank and relates this metric to speech intelligibility using the concept of an ideal observer. Predictions were compared to data on the intelligibility of speech presented in stationary speech......-shaped noise. The model was further tested in conditions with noisy speech subjected to reverberation and spectral subtraction. Good agreement between predictions and data was found in all cases. For spectral subtraction, an analysis of the model's internal representation of the stimuli revealed...

  5. The Role of Emotional Intelligence in the Career Commitment and Decision-Making Process.

    Science.gov (United States)

    Brown, Chris; George-Curran, Roberta; Smith, Marian L.

    2003-01-01

    Measures of emotional intelligence, vocational exploration, and career decision-making self-efficacy (CDMSE) were completed by 288 college students. Emotional intelligence was positively related to CDMSE. Utilization of feelings and self-control factors were inversely related to vocational exploration and commitment. Gender was not a moderator of…

  6. Gender Differences in the Relationship between Emotional Intelligence and Right Hemisphere Lateralization for Facial Processing

    Science.gov (United States)

    Castro-Schilo, Laura; Kee, Daniel W.

    2010-01-01

    The present study examined relationships between emotional intelligence, measured by the Mayer-Salovey-Caruso Emotional Intelligence Test, and right hemisphere dominance for a free vision chimeric face test. A sample of 122 ethnically diverse college students participated and completed online versions of the forenamed tests. A hierarchical…

  7. Artificial Intelligence vs. Statistical Modeling and Optimization of Continuous Bead Milling Process for Bacterial Cell Lysis.

    Science.gov (United States)

    Haque, Shafiul; Khan, Saif; Wahid, Mohd; Dar, Sajad A; Soni, Nipunjot; Mandal, Raju K; Singh, Vineeta; Tiwari, Dileep; Lohani, Mohtashim; Areeshi, Mohammed Y; Govender, Thavendran; Kruger, Hendrik G; Jawed, Arshad

    2016-01-01

    For a commercially viable recombinant intracellular protein production process, efficient cell lysis and protein release is a major bottleneck. The recovery of recombinant protein, cholesterol oxidase (COD) was studied in a continuous bead milling process. A full factorial response surface methodology (RSM) design was employed and compared to artificial neural networks coupled with genetic algorithm (ANN-GA). Significant process variables, cell slurry feed rate (A), bead load (B), cell load (C), and run time (D), were investigated and optimized for maximizing COD recovery. RSM predicted an optimum of feed rate of 310.73 mL/h, bead loading of 79.9% (v/v), cell loading OD600nm of 74, and run time of 29.9 min with a recovery of ~3.2 g/L. ANN-GA predicted a maximum COD recovery of ~3.5 g/L at an optimum feed rate (mL/h): 258.08, bead loading (%, v/v): 80%, cell loading (OD600nm): 73.99, and run time of 32 min. An overall 3.7-fold increase in productivity is obtained when compared to a batch process. Optimization and comparison of statistical vs. artificial intelligence techniques in continuous bead milling process has been attempted for the very first time in our study. We were able to successfully represent the complex non-linear multivariable dependence of enzyme recovery on bead milling parameters. The quadratic second order response functions are not flexible enough to represent such complex non-linear dependence. ANN being a summation function of multiple layers are capable to represent complex non-linear dependence of variables in this case; enzyme recovery as a function of bead milling parameters. Since GA can even optimize discontinuous functions present study cites a perfect example of using machine learning (ANN) in combination with evolutionary optimization (GA) for representing undefined biological functions which is the case for common industrial processes involving biological moieties.

  8. Process monitoring for intelligent manufacturing processes - Methodology and application to Robot Assisted Polishing

    DEFF Research Database (Denmark)

    Pilny, Lukas

    of process monitoring andcontrol strategy for automatic process End Point Detection (EPD) and on the machine surface characterization in Robot Assisted Polishing (RAP) with oscillating tool. VQCs were identified in terms of surface roughness, defects and gloss. Polishing progression in terms of relative...... variation in surface roughness was indirectly monitored through identified KPVs in terms of Acoustic Emission (AE), friction forces and power consumption during polishing. A dedicated polishing arm with integrated strain gauge based force sensors and a miniature AE sensor was developed, enabling in...

  9. Implementation of a tolerance model in a computer aided design and inspection system

    Directory of Open Access Journals (Sweden)

    R. Hunter

    2006-04-01

    Full Text Available Purpose: Purpose of this paper is present a detailed framework to integrate the Computer Aided Design (CAD and Inspection (CAI systems through the integration of the Geometric Dimensioning and Tolerancing (GD&T with the inspection process in coordinate measuring machines (CMMs.Design/methodology/approach: The approach used to develop a prototype of a Knowledge Based System (KBS applied to inspection process establishes a new methodology for integrate the geometric dimensioning and tolerancing (GD&T. The integration is achieved through the definition of the knowledge units for functional properties of GD&T, inspection resources and inspection operations in a common knowledge model. The manufacturing and processing applications are the main topics approach of this paper.Findings: The findings are focused in modeling the features and interactions between knowledge units associated to topology, geometry and tolerances with the inspection process activities. The implementation of the product knowledge model is presented in a computer platform that extracts and represents the GD&T information in a CAI system.Research limitations/implications: The implications are focused on the automation of the inspection process in a KBS application. The future research is focused on the use of artificial intelligent technique, such as genetic algorithms and neural networks, to optimize the time to execute the inspection process.Practical implications: The main outcomes and implication of the KBS prototype application are focused on the reduction of the time spend to develop the inspection process. This KBS application provides the needed information to elaborate this process without the human interface.Originality/value: The original value of this paper is the integration of the design and inspection specification in a unique prototype application. The knowledge model has been defined in a common modeling language (UML and can be implemented in different

  10. Acquisition of high-resolution 3D data and processing using Artificial Intelligence

    Science.gov (United States)

    Meng, Hui; Sheng, J.; Yang, W.; Pu, Y.

    1996-11-01

    Holographic PIV (HPIV) is a promising 3D velocity field measurement technique providing high spatial-temporal resolution needed for understanding complex and turbulent flows. An HPIV system, combining in-line recording and off-axis viewing (IROV) holography and Heuristic Morphology Particle Pairing (HMPP) method, is being developed in this work. Unlike 2D PIV, HPIV instantaneously records a volume of particle images through holographic imaging. Its data processing involves special difficulties such as speckle noise, sparse pairs and large data sets. The HMPP algorithm is an adaptive parallel processing scheme applying artificial intelligence searching theory. Based on similar morphology of a particle group at successive instants separated by a small interval, HMPP matches a group of particle images between double exposures and provides velocity vectors for individual particle pairs, providing much higher spatial resolution than conventional correlation algorithm and lower measurement error caused by large velocity gradients. Taking advantages of IROV and HMPP, the system being developed appears highly promising as a practical HPIV configuration.

  11. Middle manager role and contribution towards the competitive intelligence process: A case of Irish subsidiaries

    Directory of Open Access Journals (Sweden)

    Willie Chinyamurindi

    2016-07-01

    Full Text Available Background: Calls have been made especially during a period of global competition and economic austerity for research that focuses on how competitive intelligence (CI is actually generated within organisations.Objectives: The aim of this study was to understand the views and experiences of middle managers with regard to their role and contribution towards the CI process within Irish subsidiaries of the Multinational Corporation (MNC.Method: The study adopts a qualitative approach using the semi-structured interview technique to generate narratives and themes around how CI is generated using a sample of 15 middle managers drawn from five participating Irish subsidiaries.Results: Based on the analysis of the narratives of the middle managers, three main themes emerged as findings. Firstly, the process of gathering CI was facilitated by the reliance on internal and external tools. Secondly, information gathered from the use of such tools was then communicated by middle managers to top managers to inform the making of strategic decisions. Thus, (and thirdly, middle managers were found to occupy an important role not only through the execution of their management duties but by extending this influence towards the generation of information deemed to affect the competitive position of not just the subsidiary but also the parent company.Conclusion: The study concludes by focusing on the implications and recommendations based on the three themes drawn from the empirical data.

  12. Using swarm intelligence to boost the root cause analysis process and enhance patient safety.

    Science.gov (United States)

    2016-03-01

    In an effort to strengthen patient safety, leadership at the University of Kentucky HealthCare (UKHC) decided to replace its traditional approach to root cause analysis (RCA) with a process based on swarm intelligence, a concept borrowed from other industries. Under this process, when a problem or error is identified, staff quickly hold a swarm--a meeting in which all those involved in the incident or problem quickly evaluate why the issue occurred and identify potential solutions for implementation. A pillar of the swarm concept is a mandate that there be no punishments or finger-pointing during the swarms. The idea is to encourage staff to be forthcoming to achieve effective solutions. Typically, swarms last for one hour and result in action plans designed to correct problems or deficiencies within a specific period of time. The ED was one of the first areas where UKHC applied swarms. For example, hospital administrators note that the approach has been used to address issues involving patient flow, triage protocols, assessments, overcrowding, and boarding. After seven years, incident reporting at UKHC has increased by 52%, and the health system has experienced a 37% decrease in the observed-to-expected mortality ratio.

  13. Intelligent Technique for Signal Processing to Identify the Brain Disorder for Epilepsy Captures Using Fuzzy Systems

    Directory of Open Access Journals (Sweden)

    Gurumurthy Sasikumar

    2016-01-01

    Full Text Available The new direction of understand the signal that is created from the brain organization is one of the main chores in the brain signal processing. Amid all the neurological disorders the human brain epilepsy is measured as one of the extreme prevalent and then programmed artificial intelligence detection technique is an essential due to the crooked and unpredictable nature of happening of epileptic seizures. We proposed an Improved Fuzzy firefly algorithm, which would enhance the classification of the brain signal efficiently with minimum iteration. An important bunching technique created on fuzzy logic is the Fuzzy C means. Together in the feature domain with the spatial domain the features gained after multichannel EEG signals remained combined by means of fuzzy algorithms. And for better precision segmentation process the firefly algorithm is applied to optimize the Fuzzy C-means membership function. Simultaneously for the efficient clustering method the convergence criteria are set. On the whole the proposed technique yields more accurate results and that gives an edge over other techniques. This proposed algorithm result compared with other algorithms like fuzzy c means algorithm and PSO algorithm.

  14. Artificial Intelligence Based Selection of Optimal Cutting Tool and Process Parameters for Effective Turning and Milling Operations

    Science.gov (United States)

    Saranya, Kunaparaju; John Rozario Jegaraj, J.; Ramesh Kumar, Katta; Venkateshwara Rao, Ghanta

    2016-06-01

    With the increased trend in automation of modern manufacturing industry, the human intervention in routine, repetitive and data specific activities of manufacturing is greatly reduced. In this paper, an attempt has been made to reduce the human intervention in selection of optimal cutting tool and process parameters for metal cutting applications, using Artificial Intelligence techniques. Generally, the selection of appropriate cutting tool and parameters in metal cutting is carried out by experienced technician/cutting tool expert based on his knowledge base or extensive search from huge cutting tool database. The present proposed approach replaces the existing practice of physical search for tools from the databooks/tool catalogues with intelligent knowledge-based selection system. This system employs artificial intelligence based techniques such as artificial neural networks, fuzzy logic and genetic algorithm for decision making and optimization. This intelligence based optimal tool selection strategy is developed using Mathworks Matlab Version 7.11.0 and implemented. The cutting tool database was obtained from the tool catalogues of different tool manufacturers. This paper discusses in detail, the methodology and strategies employed for selection of appropriate cutting tool and optimization of process parameters based on multi-objective optimization criteria considering material removal rate, tool life and tool cost.

  15. 2015 Chinese Intelligent Systems Conference

    CERN Document Server

    Du, Junping; Li, Hongbo; Zhang, Weicun; CISC’15

    2016-01-01

    This book presents selected research papers from the 2015 Chinese Intelligent Systems Conference (CISC’15), held in Yangzhou, China. The topics covered include multi-agent systems, evolutionary computation, artificial intelligence, complex systems, computation intelligence and soft computing, intelligent control, advanced control technology, robotics and applications, intelligent information processing, iterative learning control, and machine learning. Engineers and researchers from academia, industry and the government can gain valuable insights into solutions combining ideas from multiple disciplines in the field of intelligent systems.

  16. Automated PCB Inspection System

    Directory of Open Access Journals (Sweden)

    Syed Usama BUKHARI

    2017-05-01

    Full Text Available Development of an automated PCB inspection system as per the need of industry is a challenging task. In this paper a case study is presented, to exhibit, a proposed system for an immigration process of a manual PCB inspection system to an automated PCB inspection system, with a minimal intervention on the existing production flow, for a leading automotive manufacturing company. A detailed design of the system, based on computer vision followed by testing and analysis was proposed, in order to aid the manufacturer in the process of automation.

  17. 40 CFR 63.143 - Process wastewater provisions-inspections and monitoring of operations.

    Science.gov (United States)

    2010-07-01

    ... of this subpart. (b) For each design steam stripper and biological treatment unit used to comply with... appropriate means. (4) For a boiler or process heater in which all vent streams are introduced with primary...)(3) of this section. (5) For a boiler or process heater with a design heat input capacity of...

  18. Artificial intelligence framework for simulating clinical decision-making: a Markov decision process approach.

    Science.gov (United States)

    Bennett, Casey C; Hauser, Kris

    2013-01-01

    In the modern healthcare system, rapidly expanding costs/complexity, the growing myriad of treatment options, and exploding information streams that often do not effectively reach the front lines hinder the ability to choose optimal treatment decisions over time. The goal in this paper is to develop a general purpose (non-disease-specific) computational/artificial intelligence (AI) framework to address these challenges. This framework serves two potential functions: (1) a simulation environment for exploring various healthcare policies, payment methodologies, etc., and (2) the basis for clinical artificial intelligence - an AI that can "think like a doctor". This approach combines Markov decision processes and dynamic decision networks to learn from clinical data and develop complex plans via simulation of alternative sequential decision paths while capturing the sometimes conflicting, sometimes synergistic interactions of various components in the healthcare system. It can operate in partially observable environments (in the case of missing observations or data) by maintaining belief states about patient health status and functions as an online agent that plans and re-plans as actions are performed and new observations are obtained. This framework was evaluated using real patient data from an electronic health record. The results demonstrate the feasibility of this approach; such an AI framework easily outperforms the current treatment-as-usual (TAU) case-rate/fee-for-service models of healthcare. The cost per unit of outcome change (CPUC) was $189 vs. $497 for AI vs. TAU (where lower is considered optimal) - while at the same time the AI approach could obtain a 30-35% increase in patient outcomes. Tweaking certain AI model parameters could further enhance this advantage, obtaining approximately 50% more improvement (outcome change) for roughly half the costs. Given careful design and problem formulation, an AI simulation framework can approximate optimal

  19. Modeling of Steam Distillation Mechanism during Steam Injection Process Using Artificial Intelligence

    Science.gov (United States)

    Ahadi, Arash; Kharrat, Riyaz

    2014-01-01

    Steam distillation as one of the important mechanisms has a great role in oil recovery in thermal methods and so it is important to simulate this process experimentally and theoretically. In this work, the simulation of steam distillation is performed on sixteen sets of crude oil data found in the literature. Artificial intelligence (AI) tools such as artificial neural network (ANN) and also adaptive neurofuzzy interference system (ANFIS) are used in this study as effective methods to simulate the distillate recoveries of these sets of data. Thirteen sets of data were used to train the models and three sets were used to test the models. The developed models are highly compatible with respect to input oil properties and can predict the distillate yield with minimum entry. For showing the performance of the proposed models, simulation of steam distillation is also done using modified Peng-Robinson equation of state. Comparison between the calculated distillates by ANFIS and neural network models and also equation of state-based method indicates that the errors of the ANFIS model for training data and test data sets are lower than those of other methods. PMID:24883365

  20. Modeling of steam distillation mechanism during steam injection process using artificial intelligence.

    Science.gov (United States)

    Daryasafar, Amin; Ahadi, Arash; Kharrat, Riyaz

    2014-01-01

    Steam distillation as one of the important mechanisms has a great role in oil recovery in thermal methods and so it is important to simulate this process experimentally and theoretically. In this work, the simulation of steam distillation is performed on sixteen sets of crude oil data found in the literature. Artificial intelligence (AI) tools such as artificial neural network (ANN) and also adaptive neurofuzzy interference system (ANFIS) are used in this study as effective methods to simulate the distillate recoveries of these sets of data. Thirteen sets of data were used to train the models and three sets were used to test the models. The developed models are highly compatible with respect to input oil properties and can predict the distillate yield with minimum entry. For showing the performance of the proposed models, simulation of steam distillation is also done using modified Peng-Robinson equation of state. Comparison between the calculated distillates by ANFIS and neural network models and also equation of state-based method indicates that the errors of the ANFIS model for training data and test data sets are lower than those of other methods.

  1. HTRDP evaluations on Chinese information processing and intelligent human-machine interface

    Institute of Scientific and Technical Information of China (English)

    LIU Qun; LIN Shouxun; QIAN Yueliang; WANG Xiangdong; LIU Hong; SUN Le; TANG Sheng; XIONG Deyi; HOU Hongxu; LV Yuanhua; LI Wenbo

    2007-01-01

    From 1991 to 2005,China's High Technology Research and Development Program (HTRDP)sponsored a series of technology evaluations on Chinese information processing and intelligent human-machine interface,which is called HTRDP evaluations,or "863" evaluations in brief.This paper introduces the HTRDP evaluations in detail.The general information of the HTRDP evaluation is presented first,including the history,the concerned technology categories,the organizer,the participants,and the procedure,etc.Then the evaluations on each technology are described in detail respectively,covering Chinese word segmentation,machine translation,acoustic speech recognition,text to speech,text summarization,text categorization,information retrieval,character recognition,and face detection and recognition.For the evaluations on each technology categories,the history,the evaluation tasks,the data,the evaluation method,etc.,are given.The last section concludes the paper and discusses possible future work.

  2. An architecture for distributed real-time large-scale information processing for intelligence analysis

    Science.gov (United States)

    Santos, Eugene, Jr.; Santos, Eunice E.; Santos, Eugene S.

    2004-04-01

    Given a massive and dynamic space of information (nuggets) and a query to be answered, how can the correct (answer) nuggets be retrieved in an effective and efficient manner? We present a large-scale distributed real-time architecture based on anytime intelligent foraging, gathering, and matching (I-FGM) on massive and dynamic information spaces. Simply put, we envision that when given a search query, large numbers of computational processes are alerted or activated in parallel to begin identifying and retrieving the appro-priate information nuggets. In particular, our approach aims to provide an anytime capa-bility which functions as follows: Given finite computational resources, I-FGM will pro-ceed to explore the information space and, over time, continuously identify and update promising candidate nugget, thus, good candidates will be available at anytime on re-quest. With the computational costs of evaluating the relevance of a candidate nugget, the anytime nature of I-FGM will provide increasing confidence on nugget selections over time by providing admissible partial evaluations. When a new promising candidate is identified, the current set of selected nuggets is re-evaluated and updated appropriately. Essentially, I-FGM will guide its finite computational resources in locating the target in-formation nuggets quickly and iteratively over time. In addition, the goal of I-FGM is to naturally handle new nuggets as they appear. A central element of our framework is to provide a formal computational model of this massive data-intensive problem.

  3. Employing the Intelligence Cycle Process Model Within the Homeland Security Enterprise

    Science.gov (United States)

    2013-12-01

    http:// ipv6 .dhs.gov/journal/leadership/labels/Intelligence%20and%20Analysis%20Directorate.html. 73 The DHS also supports formal degree granting...institutions, there are far more intelligence focused training opportunities presented to state and local officials through on-site mobile training events...Institute of Intergovernmental Research delivers on-site mobile training opportunities to the National Network, as well as the state and local members of

  4. Political and Budgetary Oversight of the Ukrainian Intelligence Community: Processes, Problems and Prospects for Reform

    Science.gov (United States)

    2007-09-01

    contract payments by the government have been proper. The National Audit Office ( NAO ) in the United Kingdom monitors the execution of the...intelligence budget. The NAO responds to parliamentary requests for intelligence budget information and produces reports for public consumption.167 In...Uzbekistan, and China ) a decision was made to increase regional international cooperation regarding the issue of fighting terrorism financing and money

  5. The instrument inspection during module construction process of modular plant%模块化工厂模块建造过程中的仪表检验

    Institute of Scientific and Technical Information of China (English)

    刘立民; 孙强; 张新东; 邢同超; 石振华; 李冬

    2012-01-01

    KONIAMBO nickel project is the world's first case of modular plant, based on supervision practice, summarize the instrument inspection during module construction process of modular plant, propose issues that need attention during instrument inspection, provide reference for instrument inspection during module construction process of modular plant.%KONIAMBO镍矿项目是世界上首例模块化工厂,通过建造实践,对模块化工厂模块建造过程中仪表检验的相关内容进行了总结,提出了仪表检验中需要注意的问题,为今后模块化工厂建造中的仪表检验提供参考.

  6. Three-dimensional imaging, measurement, and inspection of high-speed processes

    Science.gov (United States)

    Ginzburg, Vera M.

    1999-11-01

    Several examples of dynamic objects 3D images and high-speed process observations and measurement, are presented. The gun-powder burning process. The real droplet distribution in diesel fuel sprayers. The pressure distribution in T-joint of automobile fuel discharge system. The thin wires explosions--the model of real bursting processes. The pulsed discharge lamps, using for solid-state lasers pumping. The gas-liquid flows in tubes. Measuring the velocity distribution in waterfall at hydra-electric station model. All these and alike measurements at Holography Lab of VNIIOFI, (Moscow, Russia) for different scientific and industrial establishments, were provided.

  7. Artificial intelligence versus statistical modeling and optimization of continuous bead milling process for bacterial cell lysis

    Directory of Open Access Journals (Sweden)

    Shafiul Haque

    2016-11-01

    Full Text Available AbstractFor a commercially viable recombinant intracellular protein production process, efficient cell lysis and protein release is a major bottleneck. The recovery of recombinant protein, cholesterol oxidase (COD was studied in a continuous bead milling process. A full factorial Response Surface Model (RSM design was employed and compared to Artificial Neural Networks coupled with Genetic Algorithm (ANN-GA. Significant process variables, cell slurry feed rate (A, bead load (B, cell load (C and run time (D, were investigated and optimized for maximizing COD recovery. RSM predicted an optimum of feed rate of 310.73 mL/h, bead loading of 79.9% (v/v, cell loading OD600 nm of 74, and run time of 29.9 min with a recovery of ~3.2 g/L. ANN coupled with GA predicted a maximum COD recovery of ~3.5 g/L at an optimum feed rate (mL/h: 258.08, bead loading (%, v/v: 80%, cell loading (OD600 nm: 73.99, and run time of 32 min. An overall 3.7-fold increase in productivity is obtained when compared to a batch process. Optimization and comparison of statistical vs. artificial intelligence techniques in continuous bead milling process has been attempted for the very first time in our study. We were able to successfully represent the complex non-linear multivariable dependence of enzyme recovery on bead milling parameters. The quadratic second order response functions are not flexible enough to represent such complex non-linear dependence. ANN being a summation function of multiple layers are capable to represent complex non-linear dependence of variables in this case; enzyme recovery as a function of bead milling parameters. Since GA can even optimize discontinuous functions present study cites a perfect example of using machine learning (ANN in combination with evolutionary optimization (GA for representing undefined biological functions which is the case for common industrial processes involving biological moieties.

  8. Artificial intelligence for the modeling and control of combustion processes: a review

    Energy Technology Data Exchange (ETDEWEB)

    Soteris A. Kalogirou, [Higher Technical Institute, Nicosia (Cyprus). Department of Mechanical Engineering

    2003-07-01

    Artificial intelligence (AI) systems are widely accepted as a technology offering an alternative way to tackle complex and ill-defined problems. They can learn from examples, are fault tolerant in the sense that they are able to handle noisy and incomplete data, are able to deal with non-linear problems, and once trained can perform prediction and generalization at high speed. They have been used in diverse applications in control, robotics, pattern recognition, forecasting, medicine, power systems, manufacturing, optimization, signal processing, and social/psychological sciences. They are particularly useful in system modeling such as in implementing complex mappings and system identification. AI systems comprise areas like, expert systems, artificial neural networks, genetic algorithms, fuzzy logic and various hybrid systems, which combine two or more techniques. The major objective of this paper is to illustrate how AI techniques might play an important role in modeling and prediction of the performance and control of combustion process. The paper outlines an understanding of how AI systems operate by way of presenting a number of problems in the different disciplines of combustion engineering. The various applications of AI are presented in a thematic rather than a chronological or any other order. Problems presented include two main areas: combustion systems and internal combustion (IC) engines. Combustion systems include boilers, furnaces and incinerators modeling and emissions prediction, whereas, IC engines include diesel and spark ignition engines and gas engines modeling and control. Results presented in this paper, are testimony to the potential of AI as a design tool in many areas of combustion engineering. 109 refs., 31 figs., 11 tabs.

  9. Artificial intelligence for the modeling and control of combustion processes: a review

    Energy Technology Data Exchange (ETDEWEB)

    Kalogirou, S.A. [Higher Technical Inst., Nicosia, Cyprus (Greece). Dept. of Mechanical Engineering

    2003-07-01

    Artificial intelligence (AI) systems are widely accepted as a technology offering an alternative way to tackle complex and ill-defined problems. They can learn from examples, are fault tolerant in the sense that they are able to handle noisy and incomplete data, are able to deal with non-linear problems, and once trained can perform prediction and generalization at high speed. They have been used in diverse applications in control, robotics, pattern recognition, forecasting, medicine, power systems, manufacturing, optimization, signal processing, and social/psychological sciences. They are particularly useful in system modeling such as in implementing complex mappings and system identification. Al systems comprise areas like, expert systems, artificial neural networks, genetic algorithms, fuzzy logic and various hybrid systems, which combine two or more techniques. The major objective of this paper is to illustrate how Al techniques might play an important role in modeling and prediction of the performance and control of combustion process. The paper outlines an understanding of how AI systems operate by way of presenting a number of problems in the different disciplines of combustion engineering. The various applications of AI are presented in a thematic rather than a chronological or any other order. Problems presented include two main areas: combustion systems and internal combustion (IC) engines. Combustion systems include boilers, furnaces and incinerators modeling and emissions prediction, whereas, IC engines include diesel and spark ignition engines and gas engines modeling and control. Results presented in this paper, are testimony to the potential of Al as a design tool in many areas of combustion engineering. (author)

  10. Developing a Multi Sensor Scanning System for Hardwood Inspection and Processing

    Science.gov (United States)

    Richard W. Conners; D.Earl Kline; Philip A. Araman

    1995-01-01

    For the last few years the authors as part of the Center for Automated Processing of Hardwoods have been attempting to develop a multiple sensor hardwood defect detection system. This development activity has been ongoing for approximately 6 years, a very long time in the commercial development world. This paper will report the progress that has been made and will...

  11. The relationship between EEG band power, cognitive processing and intelligence in school-age children

    Directory of Open Access Journals (Sweden)

    TONGRAN LIU

    2008-06-01

    Full Text Available To investigate the differences in event-related potential parameters related to children’s intelligence and cognitive ability, 24 individuals from an experimental class of intellectually gifted children and 23 intellectually average children as the control group from a regular class were selected in the present study and the main neural mechanism pertaining to high intelligence was investigated. The electroen-cephalogram (EEG was recorded and the relationship between different percentages of Delta, Theta, Alpha1, Alpha2, Beta1 and Beta2 and intelligence and cognitive ability were analyzed. The results suggested that Delta power activity in brighter individuals was more than that in normal individuals, and Alpha2 and Beta1 power activity in higher intelligence individuals were less than that in normal individuals. In high ability group, Alpha1 was significantly correlated with visual search ability, and Theta band correlated with simple abstract matching significantly. While in the normal group, Delta band related significantly with short term memory abilities. Spectral EEG parameters could be regarded as neural bases for fast reaction and a good tool to discriminate high intelligent children from the average.

  12. Advanced intelligent systems

    CERN Document Server

    Ryoo, Young; Jang, Moon-soo; Bae, Young-Chul

    2014-01-01

    Intelligent systems have been initiated with the attempt to imitate the human brain. People wish to let machines perform intelligent works. Many techniques of intelligent systems are based on artificial intelligence. According to changing and novel requirements, the advanced intelligent systems cover a wide spectrum: big data processing, intelligent control, advanced robotics, artificial intelligence and machine learning. This book focuses on coordinating intelligent systems with highly integrated and foundationally functional components. The book consists of 19 contributions that features social network-based recommender systems, application of fuzzy enforcement, energy visualization, ultrasonic muscular thickness measurement, regional analysis and predictive modeling, analysis of 3D polygon data, blood pressure estimation system, fuzzy human model, fuzzy ultrasonic imaging method, ultrasonic mobile smart technology, pseudo-normal image synthesis, subspace classifier, mobile object tracking, standing-up moti...

  13. Intelligent systems

    CERN Document Server

    Irwin, J David

    2011-01-01

    Technology has now progressed to the point that intelligent systems are replacing humans in the decision making processes as well as aiding in the solution of very complex problems. In many cases intelligent systems are already outperforming human activities. Artificial neural networks are not only capable of learning how to classify patterns, such images or sequence of events, but they can also effectively model complex nonlinear systems. Their ability to classify sequences of events is probably more popular in industrial applications where there is an inherent need to model nonlinear system

  14. 22 nm node wafer inspection using diffraction phase microscopy and image post-processing

    Science.gov (United States)

    Zhou, Renjie; Popescu, Gabriel; Goddard, Lynford L.

    2013-04-01

    We applied epi-illumination diffraction phase microscopy to measure the amplitude and phase of the scattered field from a SEMATECH 22 nm node intentional defect array (IDA) wafer. We used several imaging processing techniques to remove the wafer's underlying structure and reduce both the spatial and temporal noise and eliminate the system calibration error to produce stretched panoramic amplitude and phase images. From the stretched images, we detected defects down to 20 nm × 160 nm for a parallel bridge, 20 nm × 100 nm for perpendicular bridge, and 35 nm × 70 nm for an isolated dot.

  15. Computer aided diagnosis based on medical image processing and artificial intelligence methods

    Science.gov (United States)

    Stoitsis, John; Valavanis, Ioannis; Mougiakakou, Stavroula G.; Golemati, Spyretta; Nikita, Alexandra; Nikita, Konstantina S.

    2006-12-01

    Advances in imaging technology and computer science have greatly enhanced interpretation of medical images, and contributed to early diagnosis. The typical architecture of a Computer Aided Diagnosis (CAD) system includes image pre-processing, definition of region(s) of interest, features extraction and selection, and classification. In this paper, the principles of CAD systems design and development are demonstrated by means of two examples. The first one focuses on the differentiation between symptomatic and asymptomatic carotid atheromatous plaques. For each plaque, a vector of texture and motion features was estimated, which was then reduced to the most robust ones by means of ANalysis of VAriance (ANOVA). Using fuzzy c-means, the features were then clustered into two classes. Clustering performances of 74%, 79%, and 84% were achieved for texture only, motion only, and combinations of texture and motion features, respectively. The second CAD system presented in this paper supports the diagnosis of focal liver lesions and is able to characterize liver tissue from Computed Tomography (CT) images as normal, hepatic cyst, hemangioma, and hepatocellular carcinoma. Five texture feature sets were extracted for each lesion, while a genetic algorithm based feature selection method was applied to identify the most robust features. The selected feature set was fed into an ensemble of neural network classifiers. The achieved classification performance was 100%, 93.75% and 90.63% in the training, validation and testing set, respectively. It is concluded that computerized analysis of medical images in combination with artificial intelligence can be used in clinical practice and may contribute to more efficient diagnosis.

  16. Non-destructive Inspection of Multi-layered Composite Using Ultrasonic Signal Processing

    Energy Technology Data Exchange (ETDEWEB)

    Ng, S C; Ismail, N; Ali, Aidy; Sahari, Barkawi [Intelligent System and Robotic Laboratory, Institute of Advanced Technology, Universiti Putra Malaysia, 43400 Serdang, Selangor (Malaysia); Yusof, J M; Chu, B W, E-mail: ngsokchoo@gmail.com [Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor (Malaysia)

    2011-02-15

    Composites exhibit higher strength and stiffness, better design practice and greater corrosion resistance compare to metal material. However, composites are susceptible to impact damage and the typical damage behaviour in the laminated composites is fibre-breakage and delamination. Detection of failure in laminated composites is complicated compared with ordinary non-destructive testing for metal materials as they are sensitive to echoes drown in noise due to the properties of the constituent materials and the multi-layered structure of the composites. In the current study, the detection of failure in multi-layered composite materials is investigated. To obtain a high probability of defect detection in composite materials, signal processing algorithms were used to resolve echoes associated with defects in glass fibre-reinforced plastics (GRP) detected by using ultrasonic testing. Pulse-echo method with single transducer was used to transmit and receive ultrasound. The obtained signals were processed to reduce noise and to extract suitable features. Results were validated on GRP with and without defects in order to demonstrate the feasibility of the method on defect detection in composites.

  17. The Influence of Cochlear Mechanical Dysfunction, Temporal Processing Deficits, and Age on the Intelligibility of Audible Speech in Noise for Hearing-Impaired Listeners

    Directory of Open Access Journals (Sweden)

    Peter T. Johannesen

    2016-05-01

    Full Text Available The aim of this study was to assess the relative importance of cochlear mechanical dysfunction, temporal processing deficits, and age on the ability of hearing-impaired listeners to understand speech in noisy backgrounds. Sixty-eight listeners took part in the study. They were provided with linear, frequency-specific amplification to compensate for their audiometric losses, and intelligibility was assessed for speech-shaped noise (SSN and a time-reversed two-talker masker (R2TM. Behavioral estimates of cochlear gain loss and residual compression were available from a previous study and were used as indicators of cochlear mechanical dysfunction. Temporal processing abilities were assessed using frequency modulation detection thresholds. Age, audiometric thresholds, and the difference between audiometric threshold and cochlear gain loss were also included in the analyses. Stepwise multiple linear regression models were used to assess the relative importance of the various factors for intelligibility. Results showed that (a cochlear gain loss was unrelated to intelligibility, (b residual cochlear compression was related to intelligibility in SSN but not in a R2TM, (c temporal processing was strongly related to intelligibility in a R2TM and much less so in SSN, and (d age per se impaired intelligibility. In summary, all factors affected intelligibility, but their relative importance varied across maskers.

  18. The Influence of Cochlear Mechanical Dysfunction, Temporal Processing Deficits, and Age on the Intelligibility of Audible Speech in Noise for Hearing-Impaired Listeners

    Science.gov (United States)

    Johannesen, Peter T.; Pérez-González, Patricia; Kalluri, Sridhar; Blanco, José L.

    2016-01-01

    The aim of this study was to assess the relative importance of cochlear mechanical dysfunction, temporal processing deficits, and age on the ability of hearing-impaired listeners to understand speech in noisy backgrounds. Sixty-eight listeners took part in the study. They were provided with linear, frequency-specific amplification to compensate for their audiometric losses, and intelligibility was assessed for speech-shaped noise (SSN) and a time-reversed two-talker masker (R2TM). Behavioral estimates of cochlear gain loss and residual compression were available from a previous study and were used as indicators of cochlear mechanical dysfunction. Temporal processing abilities were assessed using frequency modulation detection thresholds. Age, audiometric thresholds, and the difference between audiometric threshold and cochlear gain loss were also included in the analyses. Stepwise multiple linear regression models were used to assess the relative importance of the various factors for intelligibility. Results showed that (a) cochlear gain loss was unrelated to intelligibility, (b) residual cochlear compression was related to intelligibility in SSN but not in a R2TM, (c) temporal processing was strongly related to intelligibility in a R2TM and much less so in SSN, and (d) age per se impaired intelligibility. In summary, all factors affected intelligibility, but their relative importance varied across maskers. PMID:27604779

  19. Analyzing Learner Language: Towards a Flexible Natural Language Processing Architecture for Intelligent Language Tutors

    Science.gov (United States)

    Amaral, Luiz; Meurers, Detmar; Ziai, Ramon

    2011-01-01

    Intelligent language tutoring systems (ILTS) typically analyze learner input to diagnose learner language properties and provide individualized feedback. Despite a long history of ILTS research, such systems are virtually absent from real-life foreign language teaching (FLT). Taking a step toward more closely linking ILTS research to real-life…

  20. Mothers' Daily Person and Process Praise: Implications for Children's Theory of Intelligence and Motivation: Brief Report

    Science.gov (United States)

    Pomerantz, Eva M.; Kempner, Sara G.

    2013-01-01

    This research examined if mothers' day-to-day praise of children's success in school plays a role in children's theory of intelligence and motivation. Participants were 120 children (mean age = 10.23 years) and their mothers who took part in a 2-wave study spanning 6 months. During the first wave, mothers completed a 10-day daily interview in…

  1. Artificial intelligence in process control: Knowledge base for the shuttle ECS model

    Science.gov (United States)

    Stiffler, A. Kent

    1989-01-01

    The general operation of KATE, an artificial intelligence controller, is outlined. A shuttle environmental control system (ECS) demonstration system for KATE is explained. The knowledge base model for this system is derived. An experimental test procedure is given to verify parameters in the model.

  2. Mothers' Daily Person and Process Praise: Implications for Children's Theory of Intelligence and Motivation: Brief Report

    Science.gov (United States)

    Pomerantz, Eva M.; Kempner, Sara G.

    2013-01-01

    This research examined if mothers' day-to-day praise of children's success in school plays a role in children's theory of intelligence and motivation. Participants were 120 children (mean age = 10.23 years) and their mothers who took part in a 2-wave study spanning 6 months. During the first wave, mothers completed a 10-day daily interview in…

  3. Joint Intelligence Operations Center (JIOC) Baseline Business Process Model & Capabilities Evaluation Methodology

    Science.gov (United States)

    2012-03-01

    Targeting Review Board OPLAN Operations Plan OPORD Operations Order OPSIT Operational Situation OSINT Open Source Intelligence OV...Analysis Evaluate FLTREPs MISREPs Unit Assign Assets Feedback Asset Shortfalls Multi-Int Collection Political & Embasy Law Enforcement HUMINT OSINT ...Embassy Information OSINT Manage Theater HUMINT Law Enforcement Collection Sort Requests Platform Information Agency Information M-I Collect

  4. Hospital Inspections

    Data.gov (United States)

    U.S. Department of Health & Human Services — Welcome to hospitalinspections.org, a website run by the Association of Health Care Journalists (AHCJ) that aims to make federal hospital inspection reports easier...

  5. Hospital Inspections

    Data.gov (United States)

    U.S. Department of Health & Human Services — Welcome to hospitalinspections.org, a website run by the Association of Health Care Journalists (AHCJ) that aims to make federal hospital inspection reports easier...

  6. On Optimization of Police Intelligence Process under Big Data Environment%论大数据环境下公安情报流程的优化

    Institute of Scientific and Technical Information of China (English)

    彭知辉

    2016-01-01

    [目的/意义]公安情报流程是对公安情报工作进行科学规范的结果。大数据环境下,建立合理的、契合大数据发展趋势的公安情报流程,可以确保公安情报工作的有序、高效运行。[方法/过程]分析公安情报流程的形成过程及发展现状,梳理公安情报流程中存在的问题,探讨大数据环境下公安情报流程的发展与变革。[结果/结论]研究发现,融入大数据的内容、方法和技术,可以优化公安情报流程:突出情报用户的先导作用与核心地位,确保公安情报流程的高效运行,促进公安情报流程参与各方的交流互动,推动一体化公安情报流程体系建设,促使公安情报流程准确反映外部环境的动态变化。%Purpose/Significance] Police intelligence process is the result of police intelligence work scientifically standardized, and es-tablishing a reasonable police intelligence process adapted to big data development trends can ensure an orderly and efficient police intelli-gence work. [ Method/Process] This paper analyzes the formation and development status of police intelligence process, reviews the problems existing in the process, and discusses the development of the process under the environment of big data. [ Result/Conclusion] By integrating the contents, methods and technologies of big data into the police intelligence process, optimization of the process can be a-chieved with fulfilling the diversified goals built in the process:to outstand the leadership and core position of intelligence users, to ensure the efficient operation of police intelligence processes, to promote extensive interaction of all parties of the process, to push forward the construction of an integrated system of police intelligence process, and to urge police intelligence process to accurately reflect the dynamic changes in the external environment.

  7. Intelligent Optics Laboratory

    Data.gov (United States)

    Federal Laboratory Consortium — The Intelligent Optics Laboratory supports sophisticated investigations on adaptive and nonlinear optics; advancedimaging and image processing; ground-to-ground and...

  8. Efficient power plant operation due to communication standards. Application for inspection, service and maintenance; Effizienterer Kraftwerksbetrieb dank offener Kommunikationsstandards. Nutzen fuer Inspektion, Wartung und Instandhaltung

    Energy Technology Data Exchange (ETDEWEB)

    Brandt, Gerhard [ABB AG, Mannheim (Germany). Geschaeftsbereich Stromerzeugung

    2011-07-01

    Advanced device engineering and actual open communication standards in power plants offer comprehensive information, more than traditional engineering can present. By intelligent utilization of so gained different informations power plant process control systems can generate for the operator added value during operation, in special inspection, service and maintenance. (orig./GL)

  9. Developing the information management system for safeguards national inspection

    Energy Technology Data Exchange (ETDEWEB)

    Park, S. J.; Jeon, I.; Park, W. S.; Min, K. S. [KAERI, Taejon (Korea, Republic of)

    2003-10-01

    The inspection information management system for safeguards national inspection is aimed to do the national safeguards inspection with efficiency, and to decrease the inspector's load to write inspection report by systematizing the inspection jobs and sharing the inspection data. National safeguards inspection is consisted two large jobs. The first is the national safeguards supporting job of managing to support the national inspection mission. The other is the writing a national inspection report after completing the national inspection. Before the developing of inspection information management system, the official tools(spread sheet, word processor) are usually used. But there is problem to share the data, to produce the statistics data. To solve the these problem, we developed the inspection information management system that process the job from initial to final inspection work, and opened user education. This paper explain the procedure of developing the inspection information management system for safeguards national inspection.

  10. Real time intelligent process control system for thin film solar cell manufacturing

    Energy Technology Data Exchange (ETDEWEB)

    George Atanasoff

    2010-10-29

    significant equipment refurbishing needed for installation of multiple separate ellipsometric systems, and development of customized software to control all of them simultaneously. The proposed optical monitoring system comprises AccuStrata’s fiber optics sensors installed inside the thin film deposition equipment, a hardware module of different components (beyond the scope of this project) and our software program with iterative predicting capability able to control material bandgap and surface roughness as films are deposited. Our miniature fiber optics monitoring sensors are installed inside the vacuum chamber compartments in very close proximity where the independent layers are deposited (an option patented by us in 2003). The optical monitoring system measures two of the most important parameters of the photovoltaic thin films during deposition on a moving solar panel - material bandgap and surface roughness. In this program each sensor array consists of two fiber optics sensors monitoring two independent areas of the panel under deposition. Based on the monitored parameters and their change in time and from position to position on the panel, the system is able to provide to the equipment operator immediate information about the thin films as they are deposited. This DoE Supply Chain program is considered the first step towards the development of intelligent optical control system capable of dynamically adjusting the manufacturing process “on-the-fly” in order to achieve better performance. The proposed system will improve the thin film solar cell manufacturing by improving the quality of the individual solar cells and will allow for the manufacturing of more consistent and uniform products resulting in higher solar conversion efficiency and manufacturing yield. It will have a significant impact on the multibillion-dollar thin film solar market. We estimate that the financial impact of these improvements if adopted by only 10% of the industry ($7.7 Billion) would

  11. Inspection and teachers’ emotions: An emotional evaluation of inspection

    Directory of Open Access Journals (Sweden)

    Binali Tunç

    2015-02-01

    Full Text Available In the study, inspection is discussed in relation to the teachers’ feelings and emotions it creates before inspection, during inspection and after inspection process. Teacher’s emotions have been investigated intentionally as emotional side of education has been neglected. Education is closely related to the emotions of teachers, who are the most important producers of educational activities.Educational activities are reduced to standard activities and defined with simple explanations or single labels such as ‘good-bad’, ‘successful-unsuccessful’, ‘adequate-inadequate’. Inspection causes emotions to be neglected. Moreover, recently, it has been discussed that there are approaches and systems that suggest constant and multi-dimensional inspection instead of traditional inspection.Qualitative research model was used to understand of teacher emotions. A semi structured form was used for the 38 primary school teachers’ interviews. After teacher interviews were completed, we analyzed and compared the interviews. Participants’ expressions were checked in terms of correctness, potential validity and reliability problems such as misinterpretation.   The results of the study can be summarized as follows: There were no positive expressions related to the emotional impact of inspection on teachers. In addition, teachers felt that the inspectors were stressed, anxious, uneasy, accusatory, coercive, looking for defect and areas of unsuccessful teaching performance. Most of teachers reported that being observed and evaluated caused them to have negative emotions.Teachers’ perceptions about inspection are found to be negative. There are no statements that indicate there is a positive impression of inspection on teachers. The emotions that are experienced before inspection: pressure, hurry, stress, concern, tension, anxiety, worry, uncertainty; during inspection: stress, tension, anger, loss of strength, humiliation and lack of self

  12. Intelligent control over chaos in the rolling process and its comparison with tracking control

    Institute of Scientific and Technical Information of China (English)

    任海鹏; 刘丁

    2004-01-01

    Some existing methods for chaos control in engineering fields are analyzed and their drawbacks are pointed out.A tracking method can solve these problems to some extent, but it still depends on the mathematical model of the system to be controlled. An intelligent method based on fuzzy neural network (FNN) is used to control chaos in engineering fields. The FNN is employed to learn the inherent dynamics from the input and output of chaos, which can be used in the inverse system method, so that the method is free of the exact mathematical model of the system to be controlled.This intelligent method is compared with tracking method in the presence of measurement noise and model error. Simulation results show its superiority and feasibility.

  13. Accelerating Exploitation of Low-grade Intelligence through Semantic Text Processing of Social Media

    Science.gov (United States)

    2013-06-01

    and emoticons . In addition to its unstructured nature, the sheer volume of social media communications sent during events of interest is overwhelming...time information contributed by large communities of social media users can be researched and searched for sources of information relevant to...national security. There is increasing acceptance within the intelligence community of the potential value of social media, but understandably some

  14. Synthesis and processing of intelligent cost-effective structures: a final review of the ARPA SPICES program

    Science.gov (United States)

    Jacobs, Jack H.

    1996-05-01

    The Synthesis and Processing of Intelligent Cost Effective Structures (SPICES) program is comprised of a consortium of industrial, academic and government labs working to develop cost effective material processing and synthesis technologies to enable new products using active vibration suppression and control devices to be brought to market. Since smart structures involve the integration of multiple engineering disciplines, it has been the objective of the consortium to establish cost effective design processes between this multi-organizational team for future incorporating of this new technology into each members respective product lines. Over the twenty-four month program many new improvements in sensors, actuators, modeling, manufacturing/integration and controls have been realized. The paper outlines the four phases of development in the program and the impact some of the key technologies will have on the smart structure development process in the future.

  15. Ultrasonic Inspection

    Science.gov (United States)

    1976-01-01

    Automation Industries Inc. has had more than $2 million in contracts to produce innovative equipment for the Apollo program. When Marshall Space Flight Center sought a fast nondestructive way to inspect butt welds in aluminum alloys for spacecraft, the company developed a reliable ultrasonic device using multiple transducers called "delta manipulators" which detect lack of weld penetration not readily seen in radiograph automation. Industry soon adapted the ultrasonic equipment to a unique rail inspection device that saves countless man hours. Device is contained in self propelled railroad cars produced and operated by the company to check old track welds for deterioration.

  16. Intelligent non-linear modelling of an industrial winding process using recurrent local linear neuro-fuzzy networks

    Institute of Scientific and Technical Information of China (English)

    Hasan ABBASI NOZARI; Hamed DEHGHAN BANADAKI; Mohammad MOKHTARE; Somaveh HEKMATI VAHED

    2012-01-01

    This study deals with the neuro-fuzzy (NF) modelling of a real industrial winding process in which the acquired NF model can be exploited to improve control performance and achieve a robust fault-tolerant system.A new simulator model is proposed for a winding process using non-linear identification based on a recurrent local linear neuro-fuzzy (RLLNF) network trained by local linear model tree (LOLIMOT),which is an incremental tree-based learning algorithm.The proposed NF models are compared with other known intelligent identifiers,namely multilayer perceptron (MLP) and radial basis function (RBF).Comparison of our proposed non-linear models and associated models obtained through the least square error (LSE) technique (the optimal modelling method for linear systems) confirms that the winding process is a non-linear system.Experimental results show the effectiveness of our proposed NF modelling approach.

  17. Principles of artificial intelligence

    CERN Document Server

    Nilsson, Nils J

    1980-01-01

    A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of th

  18. Intelligence Analysis: Once Again

    Science.gov (United States)

    2008-02-01

    least touch on the subject of intelligence analysis. However, while still a large body of work, it is a considerably smaller set that specifically...meaning is influenced by the analyst’s mindset, mental model, or frame of mind . Kent (1949, p. 199) indicated “…an intelligence staff which must...or a top-down process are not unique to the intelligence literature. In the scientific literature, arguments date back to Descartes (1596- 1650

  19. Automatic Meal Inspection System Using LBP-HF Feature for Central Kitchen

    Directory of Open Access Journals (Sweden)

    Yue-Min Jiang

    2015-02-01

    Full Text Available This paper proposes an intelligent and automatic meal inspection system which can be applied to the meal inspection for the application of central kitchen automation. The diet specifically designed for the patients are required with providing personalized diet such as low sodium intake or some necessary food. Hence, the proposed system can benefit the inspection process that is often performed manually. In the proposed system, firstly, the meal box can be detected and located automatically with the vision-based method and then all the food ingredients can be identified by using the color and LBP-HF texture features. Secondly, the quantity for each of food ingredient is estimated by using the image depth information. The experimental results show that the meal inspection accuracy can approach 80%, meal inspection efficiency can reach1200ms, and the food quantity accuracy is about 90%. The proposed system is expected to increase the capacity of meal supply over 50% and be helpful to the dietician in the hospital for saving the time in the diet inspection process.

  20. The role of accent imitation in sensorimotor integration during processing of intelligible speech

    Directory of Open Access Journals (Sweden)

    Patti eAdank

    2013-10-01

    Full Text Available Recent theories on how listeners maintain perceptual invariance despite variation in the speech signal allocate a prominent role to imitation mechanisms. Notably, these simulation accounts propose that motor mechanisms support perception of ambiguous or noisy signals. Indeed, imitation of ambiguous signals, e.g., accented speech, has been found to aid effective speech comprehension. Here, we explored the possibility that imitation in speech benefits perception by increasing activation in speech perception and production areas. Participants rated the intelligibility of sentences spoken in an unfamiliar accent of Dutch in a functional Magnetic Resonance Imaging experiment. Next, participants in one group repeated the sentences in their own accent, while a second group vocally imitated the accent. Finally, both groups rated the intelligibility of accented sentences in a post-test. The neuroimaging results showed an interaction between type of training and pre- and post-test sessions in left Inferior Frontal Gyrus, Supplementary Motor Area, and left Superior Temporal Sulcus. Although alternative explanations such as task engagement and fatigue need to be considered as well, the results suggest that imitation may aid effective speech comprehension by supporting sensorimotor integration.

  1. Understanding the Globalization of Intelligence

    DEFF Research Database (Denmark)

    Svendsen, Adam David Morgan

    "This book provides an introduction to the complexities of contemporary Western Intelligence and its dynamics during an era of globalization. Towards an understanding of the globalization of intelligence process, Svendsen focuses on the secretive phenomenon of international or foreign intelligence...... cooperation ('liaison'), as it occurs in both theory and practice. Reflecting a complex coexistence plurality of several different and overlapping concepts in action, the challenging process of the globalization of intelligence emerges as essential for complex issue management purposes during a globalized era...

  2. Photoelectric Inspecting of Artillery Bore

    Institute of Scientific and Technical Information of China (English)

    ZHANG Jie; MA Hong; BAI Su-ping; YAN Yu-feng

    2008-01-01

    A photoelectric equipment for inspecting artillery bore is composed of digital display grating sensor and data processing with computer. It can replace the traditional mechanical measurer and realize the automatic inspection of artillery bore. Introduced are briefly the working principles and analysis of this device.

  3. Conceptual approach through an annotation process for the representation and the information contents enhancement in economic intelligence (EI)

    CERN Document Server

    Sidhom, Sahbi

    2008-01-01

    In the era of the information society, the impact of the information systems on the economy of material and immaterial is certainly perceptible. With regards to the information resources of an organization, the annotation involved to enrich informational content, to track the intellectual activities on a document and to set the added value on information for the benefit of solving a decision-making problem in the context of economic intelligence. Our contribution is distinguished by the representation of an annotation process and its inherent concepts to lead the decisionmaker to an anticipated decision: the provision of relevant and annotated information. Such information in the system is made easy by taking into account the diversity of resources and those that are well annotated so formally and informally by the EI actors. A capital research framework consist of integrating in the decision-making process the annotator activity, the software agent (or the reasoning mechanisms) and the information resources ...

  4. Additive Manufacturing Infrared Inspection

    Science.gov (United States)

    Gaddy, Darrell

    2014-01-01

    Additive manufacturing is a rapid prototyping technology that allows parts to be built in a series of thin layers from plastic, ceramics, and metallics. Metallic additive manufacturing is an emerging form of rapid prototyping that allows complex structures to be built using various metallic powders. Significant time and cost savings have also been observed using the metallic additive manufacturing compared with traditional techniques. Development of the metallic additive manufacturing technology has advanced significantly over the last decade, although many of the techniques to inspect parts made from these processes have not advanced significantly or have limitations. Several external geometry inspection techniques exist such as Coordinate Measurement Machines (CMM), Laser Scanners, Structured Light Scanning Systems, or even traditional calipers and gages. All of the aforementioned techniques are limited to external geometry and contours or must use a contact probe to inspect limited internal dimensions. This presentation will document the development of a process for real-time dimensional inspection technique and digital quality record of the additive manufacturing process using Infrared camera imaging and processing techniques.

  5. Processing and representation of meta-data for sleep apnea diagnosis with an artificial intelligence approach.

    Science.gov (United States)

    Nettleton, D; Muñiz, J

    2001-09-01

    In this article, we revise and try to resolve some of the problems inherent in questionnaire screening of sleep apnea cases and apnea diagnosis based on attributes which are relevant and reliable. We present a way of learning information about the relevance of the data, comparing this with the definition of the information by the medical expert. We generate a predictive data model using a data aggregation operator which takes relevance and reliability information about the data into account to produce a diagnosis for each case. We also introduce a grade of membership for each question response which allows the patient to indicate a level of confidence or doubt in their own judgement. The method is tested with data collected from patients in a Sleep Clinic using questionnaires specially designed for the study. Other artificial intelligence predictive modeling algorithms are also tested on the same data and their predictive accuracy compared to that of the aggregation operator.

  6. Prototype interface facility for intelligent handling and processing of medical image and data

    Science.gov (United States)

    Lymberopoulos, Dimitris C.; Garantziotis, Giannis; Spiropoulos, Kostas V.; Kotsopoulos, Stavros A.; Goutis, Costas E.

    1993-06-01

    This paper introduces an interface facility (IF) developed within the overall framework of RACE research project. Due to the nature of the project which it has been focused in the Remote Medical Expert Consultation, the involvement of distances, the versatile user advocation and familiarity with newly introduced methods of medical diagnosis, considerable deficiencies can arise. The aim was to intelligently assist the user/physician by providing an ergonomic environment which would contain operational and functional deficiencies to the lowest possible levels. IF, energizes and activates system and application level commands and procedures along with the necessary exemplified and instructional help facilities, in order to concisely allow the user to interact with the system safely and easily at all levels.

  7. An integrated approach to the design of tube hydroforming processes: artificial intelligence, numerical analysis and experimental investigation

    Science.gov (United States)

    Di Lorenzo, R.; Filice, L.; Umbrello, D.; Micari, F.

    2004-06-01

    In the last years, the growing role of process flexibility in modern mechanical industries has driven a rising interest in optimisation of process/product design through innovative techniques. Moreover, the development of niche productions, which are characterised by low production volumes and small batches leads to the need of more flexible and rapid forming technologies. In this way, a great research effort is performed towards the study of new stamping processes: among them hydro forming finds a large interest in automotive industry since it allows to significantly reduce tooling costs and also to avoid some secondary operations. Different studies are available in the technical literature concerning the fundamentals of tube hydro forming processes as well as the industrial application of such operations. As process design issues are concerned, in the paper, the authors propose the integration of different tools, namely artificial intelligence techniques, numerical simulations and experimental knowledge to carry out tube hydro forming design. A fuzzy system was integrated with a FEM code for process simulation obtaining a sort of closed loop control system to be utilised in the process design phase. An experimental validation of the design procedure was developed as well proving the effectiveness of the proposed approach in order to obtain defect free components both as geometrical features and ductile fractures are concerned.

  8. Intelligent Machines in the 21st Century: Automating the Processes of Inference and Inquiry

    Science.gov (United States)

    Knuth, Kevin H.

    2003-01-01

    The last century saw the application of Boolean algebra toward the construction of computing machines, which work by applying logical transformations to information contained in their memory. The development of information theory and the generalization of Boolean algebra to Bayesian inference have enabled these computing machines. in the last quarter of the twentieth century, to be endowed with the ability to learn by making inferences from data. This revolution is just beginning as new computational techniques continue to make difficult problems more accessible. However, modern intelligent machines work by inferring knowledge using only their pre-programmed prior knowledge and the data provided. They lack the ability to ask questions, or request data that would aid their inferences. Recent advances in understanding the foundations of probability theory have revealed implications for areas other than logic. Of relevance to intelligent machines, we identified the algebra of questions as the free distributive algebra, which now allows us to work with questions in a way analogous to that which Boolean algebra enables us to work with logical statements. In this paper we describe this logic of inference and inquiry using the mathematics of partially ordered sets and the scaffolding of lattice theory, discuss the far-reaching implications of the methodology, and demonstrate its application with current examples in machine learning. Automation of both inference and inquiry promises to allow robots to perform science in the far reaches of our solar system and in other star systems by enabling them to not only make inferences from data, but also decide which question to ask, experiment to perform, or measurement to take given what they have learned and what they are designed to understand.

  9. Intelligent Monitoring System with High Temperature Distributed Fiberoptic Sensor for Power Plant Combustion Processes

    Energy Technology Data Exchange (ETDEWEB)

    Kwang Y. Lee; Stuart S. Yin; Andre Boehman

    2006-09-26

    The objective of the proposed work is to develop an intelligent distributed fiber optical sensor system for real-time monitoring of high temperature in a boiler furnace in power plants. Of particular interest is the estimation of spatial and temporal distributions of high temperatures within a boiler furnace, which will be essential in assessing and controlling the mechanisms that form and remove pollutants at the source, such as NOx. The basic approach in developing the proposed sensor system is three fold: (1) development of high temperature distributed fiber optical sensor capable of measuring temperatures greater than 2000 C degree with spatial resolution of less than 1 cm; (2) development of distributed parameter system (DPS) models to map the three-dimensional (3D) temperature distribution for the furnace; and (3) development of an intelligent monitoring system for real-time monitoring of the 3D boiler temperature distribution. Under Task 1, we have set up a dedicated high power, ultrafast laser system for fabricating in-fiber gratings in harsh environment optical fibers, successfully fabricated gratings in single crystal sapphire fibers by the high power laser system, and developed highly sensitive long period gratings (lpg) by electric arc. Under Task 2, relevant mathematical modeling studies of NOx formation in practical combustors have been completed. Studies show that in boiler systems with no swirl, the distributed temperature sensor may provide information sufficient to predict trends of NOx at the boiler exit. Under Task 3, we have investigated a mathematical approach to extrapolation of the temperature distribution within a power plant boiler facility, using a combination of a modified neural network architecture and semigroup theory. Given a set of empirical data with no analytic expression, we first developed an analytic description and then extended that model along a single axis.

  10. Intelligent Monitoring System With High Temperature Distributed Fiberoptic Sensor For Power Plant Combustion Processes

    Energy Technology Data Exchange (ETDEWEB)

    Kwang Y. Lee; Stuart S. Yin; Andre Boheman

    2005-12-26

    The objective of the proposed work is to develop an intelligent distributed fiber optical sensor system for real-time monitoring of high temperature in a boiler furnace in power plants. Of particular interest is the estimation of spatial and temporal distributions of high temperatures within a boiler furnace, which will be essential in assessing and controlling the mechanisms that form and remove pollutants at the source, such as NOx. The basic approach in developing the proposed sensor system is three fold: (1) development of high temperature distributed fiber optical sensor capable of measuring temperatures greater than 2000 C degree with spatial resolution of less than 1 cm; (2) development of distributed parameter system (DPS) models to map the three-dimensional (3D) temperature distribution for the furnace; and (3) development of an intelligent monitoring system for real-time monitoring of the 3D boiler temperature distribution. Under Task 1, we set up a dedicated high power, ultrafast laser system for fabricating in-fiber gratings in harsh environment optical fibers, successfully fabricated gratings in single crystal sapphire fibers by the high power laser system, and developed highly sensitive long period gratings (lpg) by electric arc. Under Task 2, relevant mathematical modeling studies of NOx formation in practical combustors. Studies show that in boiler systems with no swirl, the distributed temperature sensor may provide information sufficient to predict trends of NOx at the boiler exit. Under Task 3, we investigate a mathematical approach to extrapolation of the temperature distribution within a power plant boiler facility, using a combination of a modified neural network architecture and semigroup theory. The 3D temperature data is furnished by the Penn State Energy Institute using FLUENT. Given a set of empirical data with no analytic expression, we first develop an analytic description and then extend that model along a single axis. Extrapolation

  11. INTELLIGENT MONITORING SYSTEM WITH HIGH TEMPERATURE DISTRIBUTED FIBEROPTIC SENSOR FOR POWER PLANT COMBUSTION PROCESSES

    Energy Technology Data Exchange (ETDEWEB)

    Kwang Y. Lee; Stuart S. Yin; Andre Boheman

    2004-12-26

    The objective of the proposed work is to develop an intelligent distributed fiber optical sensor system for real-time monitoring of high temperature in a boiler furnace in power plants. Of particular interest is the estimation of spatial and temporal distributions of high temperatures within a boiler furnace, which will be essential in assessing and controlling the mechanisms that form and remove pollutants at the source, such as NOx. The basic approach in developing the proposed sensor system is three fold: (1) development of high temperature distributed fiber optical sensor capable of measuring temperatures greater than 2000 C degree with spatial resolution of less than 1 cm; (2) development of distributed parameter system (DPS) models to map the three-dimensional (3D) temperature distribution for the furnace; and (3) development of an intelligent monitoring system for real-time monitoring of the 3D boiler temperature distribution. Under Task 1, improvement was made on the performance of in-fiber grating fabricated in single crystal sapphire fibers, test was performed on the grating performance of single crystal sapphire fiber with new fabrication methods, and the fabricated grating was applied to high temperature sensor. Under Task 2, models obtained from 3-D modeling of the Demonstration Boiler were used to study relationships between temperature and NOx, as the multi-dimensionality of such systems are most comparable with real-life boiler systems. Studies show that in boiler systems with no swirl, the distributed temperature sensor may provide information sufficient to predict trends of NOx at the boiler exit. Under Task 3, we investigate a mathematical approach to extrapolation of the temperature distribution within a power plant boiler facility, using a combination of a modified neural network architecture and semigroup theory. The 3D temperature data is furnished by the Penn State Energy Institute using FLUENT. Given a set of empirical data with no analytic

  12. Data Management and Intelligent Processing in IoT%IoT的数据管理与智能处理

    Institute of Scientific and Technical Information of China (English)

    李玲娟

    2011-01-01

    在物联网(IoT)中物与物、人与物的智能交互的实现要依赖于数据的智能处理,而数据管理则是数据智能处理的基础.由于物联网中的数据具有异构、海量和不确定等特点,因此要实现对其数据管理与智能处理,必须在运用已有技术的基础上进一步采用新的技术和方法.文章基于物联网中数据的特点、物联网新的数据管理与智能处理技术,提出了数据空间技术、不确定数据推理技术以及云计算在物联网中的应用思路,揭示了需要研究的关键内容.%Thing-thing and human-thing interaction in IoT should be dependent on intelligent data processing based on data management. Since IoT data is heterogeneous, mass-scale, and somewhat unpredictable, using new methods and technologies in conjunction with existing technologies is necessary for data management and processing. In this paper, the characteristics of IoT are analyzed, and several new data management and intelligent processing technologies are introduced.Dataspace technology, uncertain data reasoning technology, and cloud computing technology in IoT are proposed and areas of further research are outlined.

  13. Artificial intelligence

    CERN Document Server

    Hunt, Earl B

    1975-01-01

    Artificial Intelligence provides information pertinent to the fundamental aspects of artificial intelligence. This book presents the basic mathematical and computational approaches to problems in the artificial intelligence field.Organized into four parts encompassing 16 chapters, this book begins with an overview of the various fields of artificial intelligence. This text then attempts to connect artificial intelligence problems to some of the notions of computability and abstract computing devices. Other chapters consider the general notion of computability, with focus on the interaction bet

  14. Intelligent mechatronics; Intelligent mechatronics

    Energy Technology Data Exchange (ETDEWEB)

    Hashimoto, H. [The University of Tokyo, Tokyo (Japan). Institute of Industrial Science

    1995-10-01

    Intelligent mechatronics (IM) was explained as follows: a study of IM essentially targets realization of a robot namely, but in the present stage the target is a creation of new values by intellectualization of machine, that is, a combination of the information infrastructure and the intelligent machine system. IM is also thought to be constituted of computers positively used and micromechatronics. The paper next introduces examples of IM study, mainly those the author is concerned with as shown below: sensor gloves, robot hands, robot eyes, tele operation, three-dimensional object recognition, mobile robot, magnetic bearing, construction of remote controlled unmanned dam, robot network, sensitivity communication using neuro baby, etc. 27 figs.

  15. Dental ethics and emotional intelligence.

    Science.gov (United States)

    Rosenblum, Alvin B; Wolf, Steve

    2014-01-01

    Dental ethics is often taught, viewed, and conducted as an intell enterprise, uninformed by other noncognitive factors. Emotional intelligence (EQ) is defined distinguished from the cognitive intelligence measured by Intelligence Quotient (IQ). This essay recommends more inclusion of emotional, noncognitive input to the ethical decision process in dental education and dental practice.

  16. Service-oriented architecture of adaptive, intelligent data acquisition and processing systems for long-pulse fusion experiments

    Energy Technology Data Exchange (ETDEWEB)

    Gonzalez, J. [Grupo de Investigacion en Instrumentacion y Acustica Aplicada. Universidad Politecnica de Madrid, Crta. Valencia Km-7 Madrid 28031 (Spain); Ruiz, M., E-mail: mariano.ruiz@upm.e [Grupo de Investigacion en Instrumentacion y Acustica Aplicada. Universidad Politecnica de Madrid, Crta. Valencia Km-7 Madrid 28031 (Spain); Barrera, E.; Lopez, J.M.; Arcas, G. de [Grupo de Investigacion en Instrumentacion y Acustica Aplicada. Universidad Politecnica de Madrid, Crta. Valencia Km-7 Madrid 28031 (Spain); Vega, J. [Asociacion EURATOM/CIEMAT para Fusion, Madrid (Spain)

    2010-07-15

    The data acquisition systems used in long-pulse fusion experiments need to implement data reduction and pattern recognition algorithms in real time. In order to accomplish these operations, it is essential to employ software tools that allow for hot swap capabilities throughout the temporal evolution of the experiments. This is very important because processing needs are not equal during different phases of the experiment. The intelligent test and measurement system (ITMS) developed by UPM and CIEMAT is an example of a technology for implementing scalable data acquisition and processing systems based on PXI and CompactPCI hardware. In the ITMS platform, a set of software tools allows the user to define the processing algorithms associated with the different experimental phases using state machines driven by software events. These state machines are specified using the State Chart XML (SCXML) language. The software tools are developed using JAVA, JINI, an SCXML engine and several LabVIEW applications. Within this schema, it is possible to execute data acquisition and processing applications in an adaptive way. The power of SCXML semantics and the ability to work with XML user-defined data types allow for very easy programming of the ITMS platform. With this approach, the ITMS platform is a suitable solution for implementing scalable data acquisition and processing systems based on a service-oriented model with the ability to easily implement remote participation applications.

  17. Customs Inspection

    Science.gov (United States)

    1977-05-01

    required, for the per- DASDD9-%M) ii the single point of contact for formance of customs inspection functions. customs inspecion matters .in the Office...STATUS Onfdlt dotl. member of Rr": 21 DATE if officer of corporation . slu title) ATP OoM 6A N-7s) PtavIoux MuITUONs MAY BE UN&D Figure l-9. Reld.. and...grips. Commonly called HW-4. Serial number over 300,000 denotes the in- corporation of modified hammer safety components. Model HW-5T Double Action

  18. Trends in ambient intelligent systems the role of computational intelligence

    CERN Document Server

    Khan, Mohammad; Abraham, Ajith

    2016-01-01

    This book demonstrates the success of Ambient Intelligence in providing possible solutions for the daily needs of humans. The book addresses implications of ambient intelligence in areas of domestic living, elderly care, robotics, communication, philosophy and others. The objective of this edited volume is to show that Ambient Intelligence is a boon to humanity with conceptual, philosophical, methodical and applicative understanding. The book also aims to schematically demonstrate developments in the direction of augmented sensors, embedded systems and behavioral intelligence towards Ambient Intelligent Networks or Smart Living Technology. It contains chapters in the field of Ambient Intelligent Networks, which received highly positive feedback during the review process. The book contains research work, with in-depth state of the art from augmented sensors, embedded technology and artificial intelligence along with cutting-edge research and development of technologies and applications of Ambient Intelligent N...

  19. Two speed factors of visual recognition independently correlated with fluid intelligence.

    Directory of Open Access Journals (Sweden)

    Ryosuke Tachibana

    Full Text Available Growing evidence indicates a moderate but significant relationship between processing speed in visuo-cognitive tasks and general intelligence. On the other hand, findings from neuroscience proposed that the primate visual system consists of two major pathways, the ventral pathway for objects recognition and the dorsal pathway for spatial processing and attentive analysis. Previous studies seeking for visuo-cognitive factors of human intelligence indicated a significant correlation between fluid intelligence and the inspection time (IT, an index for a speed of object recognition performed in the ventral pathway. We thus presently examined a possibility that neural processing speed in the dorsal pathway also represented a factor of intelligence. Specifically, we used the mental rotation (MR task, a popular psychometric measure for mental speed of spatial processing in the dorsal pathway. We found that the speed of MR was significantly correlated with intelligence scores, while it had no correlation with one's IT (recognition speed of visual objects. Our results support the new possibility that intelligence could be explained by two types of mental speed, one related to object recognition (IT and another for manipulation of mental images (MR.

  20. The Acquisition of Context Data of Study Process and their Application in Classroom and Intelligent Tutoring Systems

    Directory of Open Access Journals (Sweden)

    Bicans Janis

    2015-12-01

    Full Text Available Over the last decade, researchers are investigating the potential of the educational paradigm shift from the traditional “one-size-fits all” teaching approach to an adaptive and more personalized study process. Availability of fast mobile connections along with the portative handheld device evolution, like phones and tablets, enable teachers and learners to communicate and interact with each other in a completely different way and speed. The mentioned devices not only deliver tutoring material to the learner, but might also serve as sensors to provide data about the learning process itself, e.g., learning conditions, location, detailed information on learning of tutoring material and other information. This sensor data put into the context of the study process can be widely used to improve student experience in the classroom and e-learning by providing more precise and detailed information to the teacher and/or an intelligent tutoring system for the selection of an appropriate tutoring strategy. This paper analyses and discusses acquisition, processing, and application scenarios of contextual information.

  1. Assessing Cognitive Abilities: Intelligence and More

    OpenAIRE

    Keith E. Stanovich

    2014-01-01

    In modern cognitive science, rationality and intelligence are measured using different tasks and operations. Furthermore, in several contemporary dual process theories of cognition, rationality is a more encompassing construct than intelligence. Researchers need to continue to develop measures of rational thought without regard to empirical correlations with intelligence. The measurement of individual differences in rationality should not be subsumed by the intelligence concept.

  2. Heuristic Analysis Model of Nitrided Layers' Formation Consisting of the Image Processing and Analysis and Elements of Artificial Intelligence.

    Science.gov (United States)

    Wójcicki, Tomasz; Nowicki, Michał

    2016-04-01

    The article presents a selected area of research and development concerning the methods of material analysis based on the automatic image recognition of the investigated metallographic sections. The objectives of the analyses of the materials for gas nitriding technology are described. The methods of the preparation of nitrided layers, the steps of the process and the construction and operation of devices for gas nitriding are given. We discuss the possibility of using the methods of digital images processing in the analysis of the materials, as well as their essential task groups: improving the quality of the images, segmentation, morphological transformations and image recognition. The developed analysis model of the nitrided layers formation, covering image processing and analysis techniques, as well as selected methods of artificial intelligence are presented. The model is divided into stages, which are formalized in order to better reproduce their actions. The validation of the presented method is performed. The advantages and limitations of the developed solution, as well as the possibilities of its practical use, are listed.

  3. Artificial Intelligence.

    Science.gov (United States)

    Waltz, David L.

    1982-01-01

    Describes kinds of results achieved by computer programs in artificial intelligence. Topics discussed include heuristic searches, artificial intelligence/psychology, planning program, backward chaining, learning (focusing on Winograd's blocks to explore learning strategies), concept learning, constraint propagation, language understanding…

  4. Towards Intelligent Supply Chains

    DEFF Research Database (Denmark)

    Siurdyban, Artur; Møller, Charles

    2012-01-01

    applied to the context of organizational processes can increase the success rate of business operations. The framework is created using a set of theoretical based constructs grounded in a discussion across several streams of research including psychology, pedagogy, artificial intelligence, learning...... of deploying inapt operations leading to deterioration of profits. To address this problem, we propose a unified business process design framework based on the paradigm of intelligence. Intelligence allows humans and human-designed systems cope with environmental volatility, and we argue that its principles......, business process management and supply chain management. It outlines a number of system tasks combined in four integrated management perspectives: build, execute, grow and innovate, put forward as business process design propositions for Intelligent Supply Chains....

  5. Towards Intelligent Supply Chains

    DEFF Research Database (Denmark)

    Siurdyban, Artur; Møller, Charles

    2012-01-01

    of deploying inapt operations leading to deterioration of profits. To address this problem, we propose a unified business process design framework based on the paradigm of intelligence. Intelligence allows humans and human-designed systems cope with environmental volatility, and we argue that its principles...... applied to the context of organizational processes can increase the success rate of business operations. The framework is created using a set of theoretical based constructs grounded in a discussion across several streams of research including psychology, pedagogy, artificial intelligence, learning......, business process management and supply chain management. It outlines a number of system tasks combined in four integrated management perspectives: build, execute, grow and innovate, put forward as business process design propositions for Intelligent Supply Chains....

  6. Automatic auditory intelligence: an expression of the sensory-cognitive core of cognitive processes.

    Science.gov (United States)

    Näätänen, Risto; Astikainen, Piia; Ruusuvirta, Timo; Huotilainen, Minna

    2010-09-01

    In this article, we present a new view on the nature of cognitive processes suggesting that there is a common core, viz., automatic sensory-cognitive processes that form the basis for higher-order cognitive processes. It has been shown that automatic sensory-cognitive processes are shared by humans and various other species and occur at different developmental stages and even in different states of consciousness. This evidence, based on the automatic electrophysiological change-detection response mismatch negativity (MMN), its magnetoencephalographic equivalent MMNm, and behavioral data, indicates that in audition surprisingly complex processes occur automatically and mainly in the sensory-specific cortical regions. These processes include, e.g. stimulus anticipation and extrapolation, sequential stimulus-rule extraction, and pattern and pitch-interval encoding. Furthermore, these complex perceptual-cognitive processes, first found in waking adults, occur similarly even in sleeping newborns, anesthetized animals, and deeply sedated adult humans, suggesting that they form the common perceptual-cognitive core of cognitive processes in general. Although the present evidence originates mainly from the auditory modality, it is likely that analogous evidence could be obtained from other sensory modalities when measures corresponding to those used in the study of the auditory modality become available.

  7. Designing a Spatially Intelligent Public Participative System for the Environmental Impact Assessment Process

    Science.gov (United States)

    Lei, Lei

    2013-01-01

    Environmental Impact Assessment (EIA) is a decision-making process that often involves public participation in the scoping and reviewing stage. Although the importance of engaging the public in the EIA process has long been recognized, it is often considered ineffective due to factors such as time, budget, resource, technical and procedural…

  8. Bio-inspired Artificial Intelligence: А Generalized Net Model of the Regularization Process in MLP

    Directory of Open Access Journals (Sweden)

    Stanimir Surchev

    2013-10-01

    Full Text Available Many objects and processes inspired by the nature have been recreated by the scientists. The inspiration to create a Multilayer Neural Network came from human brain as member of the group. It possesses complicated structure and it is difficult to recreate, because of the existence of too many processes that require different solving methods. The aim of the following paper is to describe one of the methods that improve learning process of Artificial Neural Network. The proposed generalized net method presents Regularization process in Multilayer Neural Network. The purpose of verification is to protect the neural network from overfitting. The regularization is commonly used in neural network training process. Many methods of verification are present, the subject of interest is the one known as Regularization. It contains function in order to set weights and biases with smaller values to protect from overfitting.

  9. 10th International Symposium on Intelligent Distributed Computing

    CERN Document Server

    Seghrouchni, Amal; Beynier, Aurélie; Camacho, David; Herpson, Cédric; Hindriks, Koen; Novais, Paulo

    2017-01-01

    This book presents the combined peer-reviewed proceedings of the tenth International Symposium on Intelligent Distributed Computing (IDC’2016), which was held in Paris, France from October 10th to 12th, 2016. The 23 contributions address a range of topics related to theory and application of intelligent distributed computing, including: Intelligent Distributed Agent-Based Systems, Ambient Intelligence and Social Networks, Computational Sustainability, Intelligent Distributed Knowledge Representation and Processing, Smart Networks, Networked Intelligence and Intelligent Distributed Applications, amongst others.

  10. 7 CFR 52.38c - Statistical sampling procedures for lot inspection of processed fruits and vegetables by attributes.

    Science.gov (United States)

    2010-01-01

    ... FRUITS AND VEGETABLES, PROCESSED PRODUCTS THEREOF, AND CERTAIN OTHER PROCESSED FOOD PRODUCTS 1..., truck, railroad car, or other similar conveyance. (b) Sample size. Samples shall be randomly selected...

  11. Case Based Reasoning Intelligent System for Network Computer Aided Process Planning

    Institute of Scientific and Technical Information of China (English)

    ZHAO Chunhua; WU Zhengjia; ZHOU Chengjun; ZHU Dalin; LI Haoping

    2006-01-01

    Computer aided process planning system played a key role for integrating design and manufacturing or assembly systems properly considering available resources and design constraints. To take advantage of the enterprise resource, the web CAPP framework was established. Case based reasoning and multi agent system were integrated in the system. The multi agent mechanism was discussed in the paper. And an instance of case base was introduced. They made the system run independently and continuously in the network environment of process planning problems.

  12. Pathogen intelligence

    Science.gov (United States)

    Steinert, Michael

    2014-01-01

    Different species inhabit different sensory worlds and thus have evolved diverse means of processing information, learning and memory. In the escalated arms race with host defense, each pathogenic bacterium not only has evolved its individual cellular sensing and behavior, but also collective sensing, interbacterial communication, distributed information processing, joint decision making, dissociative behavior, and the phenotypic and genotypic heterogeneity necessary for epidemiologic success. Moreover, pathogenic populations take advantage of dormancy strategies and rapid evolutionary speed, which allow them to save co-generated intelligent traits in a collective genomic memory. This review discusses how these mechanisms add further levels of complexity to bacterial pathogenicity and transmission, and how mining for these mechanisms could help to develop new anti-infective strategies. PMID:24551600

  13. Semantic Business Intelligence - a New Generation of Business Intelligence

    Directory of Open Access Journals (Sweden)

    Dinu AIRINEI

    2012-01-01

    Full Text Available Business Intelligence Solutions represents applications used by companies to manage process and analyze data to provide substantiated decision. In the context of Semantic Web develop-ment trend is to integrate semantic unstructured data, making business intelligence solutions to be redesigned in such a manner that can analyze, process and synthesize, in addition to traditional data and data integrated with semantic another form and structure. This invariably leads appearance of new BI solution, called Semantic Business Intelligence.

  14. Should We Rely on Intelligence Cycle?

    OpenAIRE

    2015-01-01

    Intelligence cycle is a systematic process which is usually applied in order to obtain intelligence from raw data. Today the world has been experiencing dazzling changes on many fields as well as technology. With the help of the new emerging technologies the data that have to be handled for intelligence is much more than ever. In addition to new technological contributions, there are discussions about intelligence cycle whether it’s being out-dated and old fashioned. Intelligence cycle was ma...

  15. Intelligence Ethics:

    DEFF Research Database (Denmark)

    Rønn, Kira Vrist

    2016-01-01

    Questions concerning what constitutes a morally justified conduct of intelligence activities have received increased attention in recent decades. However, intelligence ethics is not yet homogeneous or embedded as a solid research field. The aim of this article is to sketch the state of the art...... of intelligence ethics and point out subjects for further scrutiny in future research. The review clusters the literature on intelligence ethics into two groups: respectively, contributions on external topics (i.e., the accountability of and the public trust in intelligence agencies) and internal topics (i.......e., the search for an ideal ethical framework for intelligence actions). The article concludes that there are many holes to fill for future studies on intelligence ethics both in external and internal discussions. Thus, the article is an invitation – especially, to moral philosophers and political theorists...

  16. Optimization of Sinter Plant Operating Conditions Using Advanced Multivariate Statistics: Intelligent Data Processing

    Science.gov (United States)

    Fernández-González, Daniel; Martín-Duarte, Ramón; Ruiz-Bustinza, Íñigo; Mochón, Javier; González-Gasca, Carmen; Verdeja, Luis Felipe

    2016-08-01

    Blast furnace operators expect to get sinter with homogenous and regular properties (chemical and mechanical), necessary to ensure regular blast furnace operation. Blends for sintering also include several iron by-products and other wastes that are obtained in different processes inside the steelworks. Due to their source, the availability of such materials is not always consistent, but their total production should be consumed in the sintering process, to both save money and recycle wastes. The main scope of this paper is to obtain the least expensive iron ore blend for the sintering process, which will provide suitable chemical and mechanical features for the homogeneous and regular operation of the blast furnace. The systematic use of statistical tools was employed to analyze historical data, including linear and partial correlations applied to the data and fuzzy clustering based on the Sugeno Fuzzy Inference System to establish relationships among the available variables.

  17. Intelligent Control of the Complex Technology Process Based on Adaptive Pattern Clustering and Feature Map

    Directory of Open Access Journals (Sweden)

    Wushan Cheng

    2008-01-01

    Full Text Available A kind of fuzzy neural networks (FNNs based on adaptive pattern clustering and feature map (APCFM is proposed to improve the property of the large delay and time varying of the sintering process. By using the density clustering and learning vector quantization (LVQ, the sintering process is divided automatically into subclasses which have similar clustering center and labeled fitting number. Then these labeled subclass samples are taken into fuzzy neural network (FNN to be trained; this network is used to solve the prediction problem of the burning through point (BTP. Using the 707 groups of actual training process data and the FNN to train APCFM algorithm, experiments prove that the system has stronger robustness and wide generality in clustering analysis and feature extraction.

  18. Extreme Learning Machine and Moving Least Square Regression Based Solar Panel Vision Inspection

    Directory of Open Access Journals (Sweden)

    Heng Liu

    2017-01-01

    Full Text Available In recent years, learning based machine intelligence has aroused a lot of attention across science and engineering. Particularly in the field of automatic industry inspection, the machine learning based vision inspection plays a more and more important role in defect identification and feature extraction. Through learning from image samples, many features of industry objects, such as shapes, positions, and orientations angles, can be obtained and then can be well utilized to determine whether there is defect or not. However, the robustness and the quickness are not easily achieved in such inspection way. In this work, for solar panel vision inspection, we present an extreme learning machine (ELM and moving least square regression based approach to identify solder joint defect and detect the panel position. Firstly, histogram peaks distribution (HPD and fractional calculus are applied for image preprocessing. Then an ELM-based defective solder joints identification is discussed in detail. Finally, moving least square regression (MLSR algorithm is introduced for solar panel position determination. Experimental results and comparisons show that the proposed ELM and MLSR based inspection method is efficient not only in detection accuracy but also in processing speed.

  19. Intelligent tools and process development for robotic edge finishing: LDRD project final report

    Energy Technology Data Exchange (ETDEWEB)

    Lewis, C.L.

    1997-08-01

    This report describes a project undertaken to develop an agile automated, high-precision edge finishing system, for fabricating precision parts. The project involved re-designing and adding additional capabilities to an existing finishing work-cell. The resulting work-cell may serve as prototype for production systems to be integrated in highly flexible automated production lines. The system removes burrs formed in the machining process and produces precision chamfers. The system uses an expert system to predict the burr size from the machining history. Within the CAD system, tool paths are generated for burr removal and chamfer formation. Then, the optimal grinding process is automatically selected from a database of processes. The tool trajectory and the selected process definition is then downloaded to a robotic control system to execute the operation. The robotic control system implements a hybrid fuzzy logic-classical control scheme to achieve the desired performance goals regardless of tolerance and fixturing errors. This report describes the system architecture and the system`s performance.

  20. A Multidirectional Model for Assessing Learning Disabled Students' Intelligence: An Information-Processing Framework.

    Science.gov (United States)

    Swanson, H. Lee

    1988-01-01

    The information processing approach to the assessment of learning disabled students' intellectual performance includes decisions about: (1) relationship between hypothesis testing and overall performance, (2) the knowledge base for strategy development, (3) coordination of search strategies, (4) metacognition, and (5) problem solving strategies.…

  1. Intelligent environmental sensing

    CERN Document Server

    Mukhopadhyay, Subhas

    2015-01-01

    Developing environmental sensing and monitoring technologies become essential especially for industries that may cause severe contamination. Intelligent environmental sensing uses novel sensor techniques, intelligent signal and data processing algorithms, and wireless sensor networks to enhance environmental sensing and monitoring. It finds applications in many environmental problems such as oil and gas, water quality, and agriculture. This book addresses issues related to three main approaches to intelligent environmental sensing and discusses their latest technological developments. Key contents of the book include:   Agricultural monitoring Classification, detection, and estimation Data fusion Geological monitoring Motor monitoring Multi-sensor systems Oil reservoirs monitoring Sensor motes Water quality monitoring Wireless sensor network protocol  

  2. The Professionalization of Intelligence Cooperation

    DEFF Research Database (Denmark)

    Svendsen, Adam David Morgan

    "Providing an in-depth insight into the subject of intelligence cooperation (officially known as liason), this book explores the complexities of this process. Towards facilitating a general understanding of the professionalization of intelligence cooperation, Svendsen's analysis includes risk...... management and encourages the realisation of greater resilience. Svendsen discusses the controversial, mixed and uneven characterisations of the process of the professionalization of intelligence cooperation and argues for a degree of 'fashioning method out of mayhem' through greater operational...

  3. The Professionalization of Intelligence Cooperation

    DEFF Research Database (Denmark)

    Svendsen, Adam David Morgan

    "Providing an in-depth insight into the subject of intelligence cooperation (officially known as liason), this book explores the complexities of this process. Towards facilitating a general understanding of the professionalization of intelligence cooperation, Svendsen's analysis includes risk...... management and encourages the realisation of greater resilience. Svendsen discusses the controversial, mixed and uneven characterisations of the process of the professionalization of intelligence cooperation and argues for a degree of 'fashioning method out of mayhem' through greater operational...

  4. Synthesis and processing of intelligent cost-effective structures phase II (SPICES II): smart materials aircraft applications evaluation

    Science.gov (United States)

    Dunne, James P.; Jacobs, Steven W.; Baumann, Erwin W.

    1998-06-01

    The second phase of the synthesis and processing of intelligent cost effective structures (SPICES II) program sought to identify high payoff areas for both naval and aerospace military systems and to evaluate military systems and to evaluate the benefits of smart materials incorporation based on their ability to redefine the mission scenario of the candidate platforms in their respective theaters of operation. The SPICES II consortium, consisting of The Boeing Company, Electric Boat Corporation, United Technologies Research Center, and Pennsylvania State University, surveyed the state-of-the-art in smart structures and evaluated potential applications to military aircraft, marine and propulsion systems components and missions. Eleven baseline platforms comprising a wide variety of missions were chosen for evaluation. Each platform was examined in its field of operation for areas which can be improved using smart materials insertion. Over 250 smart materials applications were proposed to enhance the platforms. The applications were examined and, when possible, quantitatively analyzed for their effect on mission performance. The applications were then ranked for payoff, risk, and time frame for development and demonstration. Details of the efforts made in the SPICES II program pertaining to smart structure applications on military and transport aircraft will be presented. A brief discussion of the core technologies will be followed by presentation of the criteria used in ranking each application. Thereafter, a selection of the higher ranking proposed concepts are presented in detail.

  5. Web-Based Study on Rapid Prototyping DataIntelligent Processing Techniques

    Institute of Scientific and Technical Information of China (English)

    张伟强; 周传宏; 石勇

    2004-01-01

    Representations of contemporary rapid prototyping (RP) technologies may not be able to manage and share data processing information based on network. This paper presents a new approach, together with its technical implementation, to solve this problem, and discusses web-based study on RP data processing techniques. At present STL files produced by 3D modeling systems contain triangular facet representation of surfaces and have become standard data inputs of RP and manufacturing systems. The paper proposes algorithms for correcting common errors, and optimizes the algorithm of gaps or hole errors leading to open loops in the data structure based on analyses of the rules and errors in the STL file. In addition, effectiveness of the approach is demonstrated by a simple model view example of STL files based on Java 3D technology.

  6. Intelligence, Surveillance, And Reconnaissance Processing, Exploitation, And Dissemination System In Support Of Global Strike In 2035

    Science.gov (United States)

    2012-02-15

    between the cerebrum and cerebellum, or between the left and right halves, is a brain that is crippled in functionality . The same is true for a PED...ways is the human brain. If the US could design its Processing, Exploitation, and Dissemination (PED) architecture to function similarly to the human...as the remaining half of the brain rewires itself to replace lost functionality . Blind people find their other senses are enhanced as the brain

  7. Processing Techniques for Intelligibility Improvement to Speech with Co-Channel Interference.

    Science.gov (United States)

    1983-09-01

    decibel signal-to-noise ratio (SNR) voice-interfered speech has the greatest potential for intelligi- bility improvement, and that interference...negative- decibel SNR were developed. The noise suppression algorithms developed in this chapter consist of two distinct components: the co-channel...overlap-add processing, the FFT’s and spectral subtraction are done every 20 msecs. This gives a satisfac- tory degree of temporal resolution since vowel

  8. INTELLIGENT STRATEGIES AS A SUPPORT FOR BUSINESS PROCESS AUDITING - RESEARCH DIRECTIONS

    OpenAIRE

    LIANA ELEFTERIE; ELENA RUSE

    2011-01-01

    In this paper we investigate the most recent techniques that support the auditor in his audit activity. The review and evaluation process of internal accounting and financial control systems represents a major task to auditors and management due to the professional, legal, and economic concerns. Furthermore, there are other many reasons for the auditor to be able to effectively review and evaluate internal accounting and financial control systems; among them the economic reason becomes domina...

  9. Time course of processing emotional stimuli as a function of perceived emotional intelligence, anxiety, and depression

    OpenAIRE

    Fisher, Joscelyn E.; Sass, Sarah M.; Heller, Wendy; Silton, Rebecca Levin; Edgar, J. Christopher; Stewart, Jennifer L.; Miller, Gregory A.

    2010-01-01

    An individual’s self-reported abilities to attend to, understand, and reinterpret emotional situations or events have been associated with anxiety and depression, but it is unclear how these abilities affect the processing of emotional stimuli, especially in individuals with these symptoms. The present study recorded event-related brain potentials while individuals reporting features of anxiety and depression completed an emotion-word Stroop task. Results indicated that anxious apprehension, ...

  10. Investment Cost Model in Business Process Intelligence in Banking And Electricity Company

    Directory of Open Access Journals (Sweden)

    Arta Moro Sundjaja

    2016-06-01

    Full Text Available Higher demand from the top management in measuring business process performance causes the incremental implementation of BPM and BI in the enterprise. The problem faced by top managements is how to integrate their data from all system used to support the business and process the data become information that able to support the decision-making processes. Our literature review elaborates several implementations of BPI on companies in Australia and Germany, challenges faced by organizations in developing BPI solution in their organizations and some cost model to calculate the investment of BPI solutions. This paper shows the success in BPI application of banks and assurance companies in German and electricity work in Australia aims to give a vision about the importance of BPI application. Many challenges in BPI application of companies in German and Australia, BPI solution, and data warehouse design development have been discussed to add insight in future BPI development. And the last is an explanation about how to analyze cost associated with BPI solution investment.

  11. Time course of processing emotional stimuli as a function of perceived emotional intelligence, anxiety, and depression.

    Science.gov (United States)

    Fisher, Joscelyn E; Sass, Sarah M; Heller, Wendy; Silton, Rebecca Levin; Edgar, J Christopher; Stewart, Jennifer L; Miller, Gregory A

    2010-08-01

    An individual's self-reported abilities to attend to, understand, and reinterpret emotional situations or events have been associated with anxiety and depression, but it is unclear how these abilities affect the processing of emotional stimuli, especially in individuals with these symptoms. The present study recorded event-related brain potentials while individuals reporting features of anxiety and depression completed an emotion-word Stroop task. Results indicated that anxious apprehension, anxious arousal, and depression were associated with self-reported emotion abilities, consistent with prior literature. In addition, lower anxious apprehension and greater reported emotional clarity were related to slower processing of negative stimuli indexed by event-related potentials (ERPs). Higher anxious arousal and reported attention to emotion were associated with ERP evidence of early attention to all stimuli regardless of emotional content. Reduced later engagement with stimuli was also associated with anxious arousal and with clarity of emotions. Depression was not differentially associated with any emotion processing stage indexed by ERPs. Research in this area may lead to the development of therapies that focus on minimization of anxiety to foster successful emotion regulation. Copyright 2010 APA

  12. NSRR experiment with un-irradiated uranium-zirconium hydride fuel. Design, fabrication process and inspection data of test fuel rod

    Energy Technology Data Exchange (ETDEWEB)

    Sasajima, Hideo; Fuketa, Toyoshi; Ishijima, Kiyomi; Kuroha, Hiroshi; Ikeda, Yoshikazu [Japan Atomic Energy Research Inst., Tokai, Ibaraki (Japan). Tokai Research Establishment; Aizawa, Keiichi

    1998-08-01

    An experiment plan is progressing in the Nuclear Safety Research Reactor (NSRR) to perform pulse-irradiation with uranium-zirconium hydride (U-ZrH{sub x}) fuel. This fuel is widely used in the training research and isotope production reactor of GA (TRIGA). The objectives of the experiment are to determine the fuel rod failure threshold and to investigate fuel behavior under simulated reactivity initiated accident (RIA) conditions. This report summarizes design, fabrication process and inspection data of the test fuel rods before pulse-irradiation. The experiment with U-ZrH{sub x} fuel will realize precise safety evaluation, and improve the TRIGA reactor performance. The data to be obtained in this program will also contribute development of next-generation TRIGA reactor and its safety evaluation. (author)

  13. Spiritual Intelligence: The Tenth Intelligence that Integrates All Other Intelligences.

    Science.gov (United States)

    Sisk, Dorothy

    2002-01-01

    This article discusses seven ways to develop spiritual intelligence, including: think about goals and identify values; access inner processes and use visualization to see goals fulfilled; integrate personal and universal vision; take responsibility for goals; develop a sense of community; focus on love and compassion; and take advantages of…

  14. Integrating Mission Type Orders into Operational Level Intelligence Collection

    Science.gov (United States)

    2011-05-27

    Operational Control OPLAN Operation Plan OSINT Open Source Intelligence OT Exercise OLYMPIC TITAN PED Processing, Exploitation, and Dissemination PIR...human intelligence (HUMINT), open source intelligence ( OSINT ), and counterintelligence (CI). These are human-oriented collection capabilities and

  15. Defense Intelligence: Additional Steps Could Better Integrate Intelligence Input into DODs Acquisition of Major Weapon Systems

    Science.gov (United States)

    2016-11-01

    Homeland Security (Office of Intelligence and Analysis ), Department of State (Bureau of Intelligence and Research), Department of Treasury (Office...of Intelligence and Analysis ), Federal Bureau of Investigation (National Security Branch), Drug Enforcement Administration (Office of National...acquisition programs that begin during the materiel solution analysis phase, intelligence inputs into the acquisition process are expected to be provided

  16. Application of Artificial Intelligent For Armour Vehicle Detection Using Digital Image Processing For Aerial Application

    Directory of Open Access Journals (Sweden)

    Kamaruddin Abd Ghani

    2011-01-01

    Full Text Available This paper will presents a new automatic target recognition (ATR algorithm to detect targets such as battle tanks and armoured personal carriers especially that been used by Malaysia Armed Forces from air-to- ground scenario. Numerous friendly-fire incidents justify the need for identification of armour vehicle in both command control and weapon systems. Rapid and reliable identification of the targets at maximum surveillance is a challenging problem. In this paper work, the reliable method to segregate the potential target from the background scene such as Fourier Transform is applied before the extracted target will be process in order to get the detail of edges and boundaries using Hough Transform. The edges will provide sufficient information for the system to generate training data for Artificial Neural Network simulation to recognize the potential target image.

  17. Intelligent Process Abnormal Patterns Recognition and Diagnosis Based on Fuzzy Logic.

    Science.gov (United States)

    Hou, Shi-Wang; Feng, Shunxiao; Wang, Hui

    2016-01-01

    Locating the assignable causes by use of the abnormal patterns of control chart is a widely used technology for manufacturing quality control. If there are uncertainties about the occurrence degree of abnormal patterns, the diagnosis process is impossible to be carried out. Considering four common abnormal control chart patterns, this paper proposed a characteristic numbers based recognition method point by point to quantify the occurrence degree of abnormal patterns under uncertain conditions and a fuzzy inference system based on fuzzy logic to calculate the contribution degree of assignable causes with fuzzy abnormal patterns. Application case results show that the proposed approach can give a ranked causes list under fuzzy control chart abnormal patterns and support the abnormity eliminating.

  18. Multi‐agent system for the making of intelligence and interactive decisions wit hin the learner’s learning process in a web‐based education environment

    Directory of Open Access Journals (Sweden)

    A. Canales‐Cruz

    2009-12-01

    Full Text Available The main focus of this paper is to show the concepts, architectures, interaction techniques, and general approaches to theanalysis and specification of a multi‐agent system for the making of intelligence and interactive decisions inside the learner’slearning process. These contributions are applied in the development of an integrated system for Web‐based education withpowerful adaptivity for the management, authoring, delivery and monitoring of learning content.

  19. An intelligent approach to optimize the EDM process parameters using utility concept and QPSO algorithm

    Directory of Open Access Journals (Sweden)

    Chinmaya P. Mohanty

    2017-04-01

    Full Text Available Although significant research has gone into the field of electrical discharge machining (EDM, analysis related to the machining efficiency of the process with different electrodes has not been adequately made. Copper and brass are frequently used as electrode materials but graphite can be used as a potential electrode material due to its high melting point temperature and good electrical conductivity. In view of this, the present work attempts to compare the machinability of copper, graphite and brass electrodes while machining Inconel 718 super alloy. Taguchi’s L27 orthogonal array has been employed to collect data for the study and analyze effect of machining parameters on performance measures. The important performance measures selected for this study are material removal rate, tool wear rate, surface roughness and radial overcut. Machining parameters considered for analysis are open circuit voltage, discharge current, pulse-on-time, duty factor, flushing pressure and electrode material. From the experimental analysis, it is observed that electrode material, discharge current and pulse-on-time are the important parameters for all the performance measures. Utility concept has been implemented to transform a multiple performance characteristics into an equivalent performance characteristic. Non-linear regression analysis is carried out to develop a model relating process parameters and overall utility index. Finally, the quantum behaved particle swarm optimization (QPSO and particle swarm optimization (PSO algorithms have been used to compare the optimal level of cutting parameters. Results demonstrate the elegance of QPSO in terms of convergence and computational effort. The optimal parametric setting obtained through both the approaches is validated by conducting confirmation experiments.

  20. Intelligence Based Fusion Control Strategy for Complex Vulcanizing Process%复杂硫化过程的智能融合控制策略

    Institute of Scientific and Technical Information of China (English)

    裴玉玲

    2013-01-01

    针对硫化过程中因模糊性与不确定性导致的塑胶产品成形过程难以控制、产品质量稳定性差的问题,提出了一种智能融合控制策略.总结了复杂硫化过程中的控制难点,探讨了硫化过程的控制论特性,研究了对不确定性复杂过程的控制策略,讨论了控制模型,提出了智能融合控制策略,基于仿人智能构造了基本控制算法.仿真结果显示该策略的鲁棒性强与控制精度高.研究结果表明:智能融合控制策略对不确定性复杂硫化过程实施控制是可行与有效的.%The vulcanization of plastic & rubber products is a typical complex control process with uncertainty.Aimed at the puzzle that the shaping process of plastic & rubber products is difficult to control resulted from fuzzification and uncertainty,and poor in stability of product quality in the process of vulcanization,the paper proposed a sort of intelligence based control strategy based on human simulated intelligent controller.In the paper,it summed up the control puzzles in the process of complex vulcanization,explored the cybernetics characteristic of vulcanizing process,researched on the control strategy of complex process with uncertainty,proposed a sort of intelligence based control strategy,discussed control model,and constructed the control algorithm based on human simulated intelligence.It made the simulation experiment,and the curve of algorithm response demonstrated that it could be stronger in robustness,and higher in control precision compared with PID controller.The research result shows that it is feasible and effective to the proposed control strategy based on human simulated intelligence in actualizing control for complex vulcanizing process with uncertainty.

  1. Swarm Intelligence

    OpenAIRE

    Thampi, Sabu M.

    2009-01-01

    Biologically inspired computing is an area of computer science which uses the advantageous properties of biological systems. It is the amalgamation of computational intelligence and collective intelligence. Biologically inspired mechanisms have already proved successful in achieving major advances in a wide range of problems in computing and communication systems. The consortium of bio-inspired computing are artificial neural networks, evolutionary algorithms, swarm intelligence, artificial i...

  2. How semantics can inform the geological mapping process and support intelligent queries

    Science.gov (United States)

    Lombardo, Vincenzo; Piana, Fabrizio; Mimmo, Dario

    2017-04-01

    The geologic mapping process requires the organization of data according to the general knowledge about the objects, namely the geologic units, and to the objectives of a graphic representation of such objects in a map, following an established model of geotectonic evolution. Semantics can greatly help such a process in two concerns: the provision of a terminological base to name and classify the objects of the map; on the other, the implementation of a machine-readable encoding of the geologic knowledge base supports the application of reasoning mechanisms and the derivation of novel properties and relations about the objects of the map. The OntoGeonous initiative has built a terminological base of geological knowledge in a machine-readable format, following the Semantic Web tenets and the Linked Data paradigm. The major knowledge sources of the OntoGeonous initiative are GeoScience Markup Language schemata and vocabularies (through its last version, GeoSciML 4, 2015, published by the IUGS CGI Commission) and the INSPIRE "Data Specification on Geology" directives (an operative simplification of GeoSciML, published by INSPIRE Thematic Working Group Geology of the European Commission). The Linked Data paradigm has been exploited by linking (without replicating, to avoid inconsistencies) the already existing machine-readable encoding for some specific domains, such as the lithology domain (vocabulary Simple Lithology) and the geochronologic time scale (ontology "gts"). Finally, for the upper level knowledge, shared across several geologic domains, we have resorted to NASA SWEET ontology. The OntoGeonous initiative has also produced a wiki that explains how the geologic knowledge has been encoded from shared geoscience vocabularies (https://www.di.unito.it/wikigeo/). In particular, the sections dedicated to axiomatization will support the construction of an appropriate data base schema that can be then filled with the objects of the map. This contribution will discuss

  3. Fetal QRS extraction from abdominal recordings via model-based signal processing and intelligent signal merging.

    Science.gov (United States)

    Haghpanahi, Masoumeh; Borkholder, David A

    2014-08-01

    Noninvasive fetal ECG (fECG) monitoring has potential applications in diagnosing congenital heart diseases in a timely manner and assisting clinicians to make more appropriate decisions during labor. However, despite advances in signal processing and machine learning techniques, the analysis of fECG signals has still remained in its preliminary stages. In this work, we describe an algorithm to automatically locate QRS complexes in noninvasive fECG signals obtained from a set of four electrodes placed on the mother's abdomen. The algorithm is based on an iterative decomposition of the maternal and fetal subspaces and filtering of the maternal ECG (mECG) components from the fECG recordings. Once the maternal components are removed, a novel merging technique is applied to merge the signals and detect the fetal QRS (fQRS) complexes. The algorithm was trained and tested on the fECG datasets provided by the PhysioNet/CinC challenge 2013. The final results indicate that the algorithm is able to detect fetal peaks for a variety of signals with different morphologies and strength levels encountered in clinical practice.

  4. Developing a Business Intelligence Process for a Training Module in SharePoint 2010

    Science.gov (United States)

    Schmidtchen, Bryce; Solano, Wanda M.; Albasini, Colby

    2015-01-01

    Prior to this project, training information for the employees of the National Center for Critical Processing and Storage (NCCIPS) was stored in an array of unrelated spreadsheets and SharePoint lists that had to be manually updated. By developing a content management system through a web application platform named SharePoint, this training system is now highly automated and provides a much less intensive method of storing training data and scheduling training courses. This system was developed by using SharePoint Designer and laying out the data structure for the interaction between different lists of data about the employees. The automation of data population inside of the lists was accomplished by implementing SharePoint workflows which essentially lay out the logic for how data is connected and calculated between certain lists. The resulting training system is constructed from a combination of five lists of data with a single list acting as the user-friendly interface. This interface is populated with the courses required for each employee and includes past and future information about course requirements. The employees of NCCIPS now have the ability to view, log, and schedule their training information and courses with much more ease. This system will relieve a significant amount of manual input and serve as a powerful informational resource for the employees of NCCIPS in the future.

  5. Flow chemistry: intelligent processing of gas-liquid transformations using a tube-in-tube reactor.

    Science.gov (United States)

    Brzozowski, Martin; O'Brien, Matthew; Ley, Steven V; Polyzos, Anastasios

    2015-02-17

    reactive gas in a given reaction mixture. We have developed a tube-in-tube reactor device consisting of a pair of concentric capillaries in which pressurized gas permeates through an inner Teflon AF-2400 tube and reacts with dissolved substrate within a liquid phase that flows within a second gas impermeable tube. This Account examines our efforts toward the development of a simple, unified methodology for the processing of gaseous reagents in flow by way of development of a tube-in-tube reactor device and applications to key C-C, C-N, and C-O bond forming and hydrogenation reactions. We further describe the application to multistep reactions using solid-supported reagents and extend the technology to processes utilizing multiple gas reagents. A key feature of our work is the development of computer-aided imaging techniques to allow automated in-line monitoring of gas concentration and stoichiometry in real time. We anticipate that this Account will illustrate the convenience and benefits of membrane tube-in-tube reactor technology to improve and concomitantly broaden the scope of gas/liquid/solid reactions in organic synthesis.

  6. TIE: an ability test of emotional intelligence

    National Research Council Canada - National Science Library

    Śmieja, Magdalena; Orzechowski, Jarosław; Stolarski, Maciej S

    2014-01-01

    The Test of Emotional Intelligence (TIE) is a new ability scale based on a theoretical model that defines emotional intelligence as a set of skills responsible for the processing of emotion-relevant information...

  7. Workpiece Inspection Based on Image Processing%基于图像处理的工件检测

    Institute of Scientific and Technical Information of China (English)

    吴霆

    2011-01-01

    研究了基于图像处理的工件轮廓检测技术的流程及算法,通过图像滤波、图像增强、阈值分割、边缘检测、边缘定位和参数测量及拟合等一系列算法,可以测出被检测工件是否符合要求及其误差范围。%this paper. tion, edge whether it ' A process and algorithm of workpiece' s contour detection based on image processing is researched in The process is completed by image filtering, image enhancement, threshold segmentation, edge detec- localization, parameter measurement and fitting. Through this method the workpiece can be make sure s qualified and also the error range.

  8. Memory and intelligence: Interdependence according to processes and content of tasks [Memoria e inteligencia: interdependencia en función de los procesos y contenidos de las tareas

    Directory of Open Access Journals (Sweden)

    Aristides I. Ferreira

    2012-06-01

    Full Text Available This study investigates the characteristics of the specific memory factors (processes and content that are associated to the Gsm from the CHC model. Memory tasks with different content, including various aptitude tests and a general intelligence test, were administered to a sample of university students. Two models that relate the general Gsm aptitude, with working memory and memory span, and with verbal-numerical and visual-spatial aptitudes were test- ed. Results indicate good fit indices for both models tested, as well as evidence for a positive regression between Gsm and working memory and between Gsm and visuospatial content. In both models we observed standardized regression of 0.54 and of 0.73 between Gsm and factor g. Implications for the understanding of the relation between memory and intelligence are discussed.

  9. Research on intelligent methods to inspect impurity in liquid%采用运动分析的液体杂质智能检测方法研究

    Institute of Scientific and Technical Information of China (English)

    刘焕军

    2011-01-01

    Presents a method to inspect impurity in liquid. This method captures the video sequences,and then uses the analysis of motion to analyze whether there are impurity in these video sequences. The binary image difference algorithm is put forward to detect the motion objects in video sequences. And these motion objects are traced through Kalman filter and matching algorithm. At last the impurities in water are inspected according to the motion parameters. The test results show the inspection rate of this method is about 96.8%.%提出一种新的液体杂质检测方法.该方法先采集液体运动的序列图像,然后对这些序列图像进行运动分析来检测液体中的杂质.提出了二值图像差分算法来判断采集到的序列图像中是否存在运动目标.在分割出运动目标后采用卡尔曼滤波和关联匹配算法来跟踪这些运动目标.最后由运动目标的运动参数来判断液体中是否存在液体杂质.试验证明这种检测方法的准确率可以达到96.8%.

  10. Error Sources in Proccessing LIDAR Based Bridge Inspection

    Science.gov (United States)

    Bian, H.; Chen, S. E.; Liu, W.

    2017-09-01

    Bridge inspection is a critical task in infrastructure management and is facing unprecedented challenges after a series of bridge failures. The prevailing visual inspection was insufficient in providing reliable and quantitative bridge information although a systematic quality management framework was built to ensure visual bridge inspection data quality to minimize errors during the inspection process. The LiDAR based remote sensing is recommended as an effective tool in overcoming some of the disadvantages of visual inspection. In order to evaluate the potential of applying this technology in bridge inspection, some of the error sources in LiDAR based bridge inspection are analysed. The scanning angle variance in field data collection and the different algorithm design in scanning data processing are the found factors that will introduce errors into inspection results. Besides studying the errors sources, advanced considerations should be placed on improving the inspection data quality, and statistical analysis might be employed to evaluate inspection operation process that contains a series of uncertain factors in the future. Overall, the development of a reliable bridge inspection system requires not only the improvement of data processing algorithms, but also systematic considerations to mitigate possible errors in the entire inspection workflow. If LiDAR or some other technology can be accepted as a supplement for visual inspection, the current quality management framework will be modified or redesigned, and this would be as urgent as the refine of inspection techniques.

  11. Intelligent Design

    DEFF Research Database (Denmark)

    Hjorth, Poul G.

    2005-01-01

    Forestillingen om at naturen er designet af en guddommelig 'intelligens' er et smukt filosofisk princip. Teorier om Intelligent Design som en naturvidenskabeligt baseret teori er derimod helt forfærdelig.......Forestillingen om at naturen er designet af en guddommelig 'intelligens' er et smukt filosofisk princip. Teorier om Intelligent Design som en naturvidenskabeligt baseret teori er derimod helt forfærdelig....

  12. Improvement of the reliability on nondestructive inspection

    Energy Technology Data Exchange (ETDEWEB)

    Song, Sung Jin; Kim, Young H. [Sungkyunkwan Univ., Suwon (Korea, Republic of); Lee, Hyang Beom [Soongsil Univ., Seoul (Korea, Republic of); Shin, Young Kil [Kunsan National Univ., Gunsan (Korea, Republic of); Jung, Hyun Jo [Wonkwang Univ., Iksan (Korea, Republic of); Park, Ik Keun; Park, Eun Soo [Seoul Nationl Univ., Seoul (Korea, Republic of)

    2002-03-15

    Retaining reliabilities of nondestructive testing is essential for the life-time maintenance of Nuclear Power Plant. The nondestructive testing methods which are frequently used in the Nuclear Power Plant are eddy current testing for the inspection of steam generator tubes and ultrasonic testing for the inspection of weldments. In order to improve reliabilities of ultrasonic testing and eddy current testing, the subjects carried out in this study are as follows : development of BEM analysis technique for ECT of SG tube, development of neural network technique for the intelligent analysis of ECT flaw signals of SG tubes, development of RFECT technology for the inspection of SG tube, FEM analysis of ultrasonic scattering field, evaluation of statistical reliability of PD-RR test of ultrasonic testing and development of multi-Gaussian beam modeling technique to predict accurate signal of signal beam ultrasonic testing with the efficiency in calculation time.

  13. Considerations In The Design And Specifications Of An Automatic Inspection System

    Science.gov (United States)

    Lee, David T.

    1980-05-01

    Considerable activities have been centered around the automation of manufacturing quality control and inspection functions. Several reasons can be cited for this development. The continuous pressure of direct and indirect labor cost increase is only one of the obvious motivations. With the drive for electronics miniaturization come more and more complex processes where control parameters are critical and the yield is highly susceptible to inadequate process monitor and inspection. With multi-step, multi-layer process for substrate fabrication, process defects that are not detected and corrected at certain critical points may render the entire subassembly useless. As a process becomes more complex, the time required to test the product increases significantly in the total build cycle. The urgency to reduce test time brings more pressure to improve in-process control and inspection. The advances and improvements of components, assemblies and systems such as micro-processors, micro-computers, programmable controllers, and other intelligent devices, have made the automation of quality control much more cost effective and justifiable.

  14. ANNUAL RADIOACTIVE WASTE TANK INSPECTION PROGRAM - 2011

    Energy Technology Data Exchange (ETDEWEB)

    West, B.; Waltz, R.

    2012-06-21

    Aqueous radioactive wastes from Savannah River Site (SRS) separations and vitrification processes are contained in large underground carbon steel tanks. Inspections made during 2011 to evaluate these vessels and other waste handling facilities along with evaluations based on data from previous inspections are the subject of this report. The 2011 inspection program revealed that the structural integrity and waste confinement capability of the Savannah River Site waste tanks were maintained. All inspections scheduled per SRR-LWE-2011-00026, HLW Tank Farm Inspection Plan for 2011, were completed. Ultrasonic measurements (UT) performed in 2011 met the requirements of C-ESR-G-00006, In-Service Inspection Program for High Level Waste Tanks, Rev. 3, and WSRC-TR-2002-00061, Rev.6. UT inspections were performed on Tanks 25, 26 and 34 and the findings are documented in SRNL-STI-2011-00495, Tank Inspection NDE Results for Fiscal Year 2011, Waste Tanks 25, 26, 34 and 41. A total of 5813 photographs were made and 835 visual and video inspections were performed during 2011. A potential leaksite was discovered at Tank 4 during routine annual inspections performed in 2011. The new crack, which is above the allowable fill level, resulted in no release to the environment or tank annulus. The location of the crack is documented in C-ESR-G-00003, SRS High Level Waste Tank Leaksite Information, Rev.6.

  15. Computational defect review for actinic mask inspections

    Science.gov (United States)

    Morgan, Paul; Rost, Daniel; Price, Daniel; Corcoran, Noel; Satake, Masaki; Hu, Peter; Peng, Danping; Yonenaga, Dean; Tolani, Vikram

    2013-04-01

    As optical lithography continues to extend into low-k1 regime, resolution of mask patterns continues to diminish. The limitation of 1.35 NA posed by water-based lithography has led to the application of various resolution enhancement techniques (RET), for example, use of strong phase-shifting masks, aggressive OPC and sub-resolution assist features, customized illuminators, etc. The adoption of these RET techniques combined with the requirements to detect even smaller defects on masks due to increasing MEEF, poses considerable challenges for a mask inspection engineer. Inspecting masks under their actinic-aerial image conditions would detect defects that are more likely to print under those exposure conditions. However, this also makes reviewing such defects in their low-contrast aerial images very challenging. On the other hand, inspecting masks under higher resolution inspection optics would allow for better viewing of defects post-inspection. However, such inspections generally would also detect many more defects, including printable and nuisance, thereby making it difficult to judge which are of real concern for printability on wafer. Often, an inspection engineer may choose to use Aerial and/or high resolution inspection modes depending on where in the process flow the mask is and the specific device-layer characteristics of the mask. Hence, a comprehensive approach is needed in handling defects both post-aerial and post-high resolution inspections. This analysis system is designed for the Applied Materials Aera™ mask inspection platform, all data reported was collected using the Aera.

  16. Intelligent Agent Appropriation in the Tracking Phase of an Environmental Scanning Process: A Case Study of a French Trade Union

    Science.gov (United States)

    Lafaye, Christophe

    2009-01-01

    Introduction: The rapid growth of the Internet has modified the boundaries of information acquisition (tracking) in environmental scanning. Despite the numerous advantages of this new medium, information overload is an enormous problem for Internet scanners. In order to help them, intelligent agents (i.e., autonomous, automated software agents…

  17. Improving the Intelligence Community’s Declassification Process and the Community’s Support to the National Declassification Center

    Science.gov (United States)

    2016-12-01

    scope, moreover, could be expanded at the discretion of the IMC chair to examine other declassification programs. Crafting declassification...System Network. JWICS is a Top Secret/ SCI network run by the Defense Intelligence Agency, and is used across the Department of Defense, Department of...identification. The NDC should now build on this success with new authorities, additional resources, and expanded declassification community

  18. DETERMINING AND MONITORING OF THE THERAPY PROCEDURES BY APPLICATION OF THE ARTIFICIAL INTELLIGENCE METHODS RELEVANT FOR ACQUIRING OF THE QUALITY EXCELLENCE IN THE PROCESSES OF THE MEDICAL TREATMENT

    Directory of Open Access Journals (Sweden)

    Danijela Tadić

    2009-09-01

    Full Text Available In this paper, short retrospection of the multi criteria mathematical models and fuzzy expert systems from available literature for support of the decision processes in medical treatment is presented. The significance of the application of methods and techniques of artificial intelligence, primarily the theory of fuzzy sets in modeling of clinical uncertainties and ranking of the possible solutions is demonstrated. Special attention is focused to possibility of the application of medical expert systems in the process of determination and monitoring of the optimal therapy procedure for individuals. Summary of the possibilities for application of the medical expert systems in the republic of Serbia is presented.

  19. Presence and numbers of Campylobacter, Escherichia coli and Salmonella determined in boiler carcass rinses from United States processing plants in the hazard analysis and critical control point-based inspection models project

    Science.gov (United States)

    In 1999, the USDA-Food Safety Inspection Service introduced an inspection system called The HACCP-Based Inspection Models Project (HIMP). HIMP varies from traditional inspection in that more emphasis is placed on system inspection and verification. Each carcass is still visually inspected but some...

  20. Backlit Keyboard Inspection Using Machine Vision

    Institute of Scientific and Technical Information of China (English)

    Der-Baau Perng; Hsiao-Wei Liu; Po-An Chen

    2015-01-01

    Abstract⎯A robust system for backlit keyboard inspection is revealed. The backlit keyboard not only has changeable diverse colors but also has the laser marking keys. The keys on the keyboard can be divided into regions of function keys, normal keys, and number keys. However, there might have some types of defects: incorrect illuminating area, non-uniform illumination of specified inspection region (IR), and incorrect luminance and intensity of individual key. Since the illumination features of backlit keyboard are too complex to inspect for human inspector in the production line, an auto-mated inspection system for the backlit keyboard is proposed in this paper. The system was designed into the operation module and inspection module. A set of image processing methods were developed for these defects inspection. Some experimental results demonstrate the robustness and effectiveness of the proposed system.

  1. Intelligent Extruder

    Energy Technology Data Exchange (ETDEWEB)

    AlperEker; Mark Giammattia; Paul Houpt; Aditya Kumar; Oscar Montero; Minesh Shah; Norberto Silvi; Timothy Cribbs

    2003-04-24

    ''Intelligent Extruder'' described in this report is a software system and associated support services for monitoring and control of compounding extruders to improve material quality, reduce waste and energy use, with minimal addition of new sensors or changes to the factory floor system components. Emphasis is on process improvements to the mixing, melting and de-volatilization of base resins, fillers, pigments, fire retardants and other additives in the :finishing'' stage of high value added engineering polymer materials. While GE Plastics materials were used for experimental studies throughout the program, the concepts and principles are broadly applicable to other manufacturers materials. The project involved a joint collaboration among GE Global Research, GE Industrial Systems and Coperion Werner & Pleiderer, USA, a major manufacturer of compounding equipment. Scope of the program included development of a algorithms for monitoring process material viscosity without rheological sensors or generating waste streams, a novel detection scheme for rapid detection of process upsets and an adaptive feedback control system to compensate for process upsets where at line adjustments are feasible. Software algorithms were implemented and tested on a laboratory scale extruder (50 lb/hr) at GE Global Research and data from a production scale system (2000 lb/hr) at GE Plastics was used to validate the monitoring and detection software. Although not evaluated experimentally, a new concept for extruder process monitoring through estimation of high frequency drive torque without strain gauges is developed and demonstrated in simulation. A plan to commercialize the software system is outlined, but commercialization has not been completed.

  2. Intelligent monitoring system based on digital image processing%基于数字图像处理的智能监控系统

    Institute of Scientific and Technical Information of China (English)

    李戈

    2013-01-01

    传统的监控技术主要靠记录和事后人工分析,数据量和工作量大,不能很好地满足实际需求。基于数字图像处理的智能监控系统,可以克服以上不足。通过智能监控系统技术分析,给出了智能监控系统的软硬件构成及工作原理。对侵入图像进行侦测的各种方法进行了分析,并通过编程实现了系统的功能。%T raditional monitoring techniques mainly rely on manual recording and post-analysis , and because of the large amount of data and heavy workload ,it can not meet the actual needs .The intelligent monitoring system based on digital image processing can overcome the above shortcom-ings .The paper expounds the analysis technique of intelligent monitoring system and provides the soft-hard structure and operational principle of intelligent monitoring system .The thesis clarifies various detecting ways to invasive image and realizes the system function through a program .

  3. ROBOTIC TANK INSPECTION END EFFECTOR

    Energy Technology Data Exchange (ETDEWEB)

    Rachel Landry

    1999-10-01

    The objective of this contract between Oceaneering Space Systems (OSS) and the Department of Energy (DOE) was to provide a tool for the DOE to inspect the inside tank walls of underground radioactive waste storage tanks in their tank farms. Some of these tanks are suspected to have leaks, but the harsh nature of the environment within the tanks precludes human inspection of tank walls. As a result of these conditions only a few inspection methods can fulfill this task. Of the methods available, OSS chose to pursue Alternating Current Field Measurement (ACFM), because it does not require clean surfaces for inspection, nor any contact with the Surface being inspected, and introduces no extra by-products in the inspection process (no coupling fluids or residues are left behind). The tool produced by OSS is the Robotic Tank Inspection End Effector (RTIEE), which is initially deployed on the tip of the Light Duty Utility Arm (LDUA). The RTEE combines ACFM with a color video camera for both electromagnetic and visual inspection The complete package consists of an end effector, its corresponding electronics and software, and a user's manual to guide the operator through an inspection. The system has both coarse and fine inspection modes and allows the user to catalog defects and suspected areas of leakage in a database for further examination, which may lead to emptying the tank for repair, decommissioning, etc.. The following is an updated report to OSS document OSS-21100-7002, which was submitted in 1995. During the course of the contract, two related subtasks arose, the Wall and Coating Thickness Sensor and the Vacuum Scarifying and Sampling Tool Assembly. The first of these subtasks was intended to evaluate the corrosion and wall thinning of 55-gallon steel drums. The second was retrieved and characterized the waste material trapped inside the annulus region of the underground tanks on the DOE's tank farms. While these subtasks were derived from the original

  4. Post-Processing of the Full Matrix of Ultrasonic Transmit-Receive Array Data for Guided Wave Pipe Inspection

    Science.gov (United States)

    Velichko, A.; Wilcox, P. D.

    2009-03-01

    The paper describes a method for processing data from a guided wave transducer array on a pipe. The raw data set from such an array contains the full matrix of time-domain signals from each transmitter-receiver combination. It is shown that for certain configurations of an array the total focusing method can be applied which allows the array to be focused at every point on a pipe surface in both transmission and reception. The effect of array configuration parameters on the sensitivity of the proposed method to the random and coherent noise is discussed. Experimental results are presented using electromagnetic acoustic transducers (EMAT) for exciting and detecting the S0 Lamb wave mode in a 12 inch steel pipe at 200 kHz excitation frequency. The results show that using the imaging algorithm a 2-mm-diameter (0.08 wavelength) half-thickness hole can be detected.

  5. Intelligent Potroom Operation

    Energy Technology Data Exchange (ETDEWEB)

    Jan Berkow; Larry Banta

    2003-07-29

    The Intelligent Potroom Operation project focuses on maximizing the performance of an aluminum smelter by innovating components for an intelligent manufacturing system. The Intelligent Potroom Advisor (IPA) monitors process data to identify reduction cells exhibiting behaviors that require immediate attention. It then advises operational personnel on those heuristic-based actions to bring the cell back to an optimal operating state in order to reduce the duration and frequency of substandard reduction cell performance referred to as ''Off-Peak Modes'' (OPMs). Techniques developed to identify cells exhibiting OPMs include the use of a finite element model-based cell state estimator for defining the cell's current operating state via advanced cell noise analyses. In addition, rule induction was also employed to identify statistically significant complex behaviors that occur prior to OPMs. The intelligent manufacturing system design, concepts and formalisms developed in this project w ere used as a basis for an intelligent manufacturing system design. Future research will incorporate an adaptive component to automate continuous process improvement, a technology platform with the potential to improve process performance in many of the other Industries of the Future applications as well.

  6. Intelligent playgrounds

    DEFF Research Database (Denmark)

    Larsen, Lasse Juel

    2009-01-01

    This paper examines play, gaming and learning in regard to intelligent playware developed for outdoor use. The key questions are how does these novel artefacts influence the concept of play, gaming and learning. Up until now play and game have been understood as different activities. This paper...... examines if the sharp differentiation between the two can be uphold in regard to intelligent playware for outdoor use. Play and game activities will be analysed and viewed in conjunction with learning contexts. This paper will stipulate that intelligent playware facilitates rapid shifts in contexts...

  7. Artificial Intelligence

    CERN Document Server

    Warwick, Kevin

    2011-01-01

    if AI is outside your field, or you know something of the subject and would like to know more then Artificial Intelligence: The Basics is a brilliant primer.' - Nick Smith, Engineering and Technology Magazine November 2011 Artificial Intelligence: The Basics is a concise and cutting-edge introduction to the fast moving world of AI. The author Kevin Warwick, a pioneer in the field, examines issues of what it means to be man or machine and looks at advances in robotics which have blurred the boundaries. Topics covered include: how intelligence can be defined whether machines can 'think' sensory

  8. Artificial intelligence

    CERN Document Server

    Ennals, J R

    1987-01-01

    Artificial Intelligence: State of the Art Report is a two-part report consisting of the invited papers and the analysis. The editor first gives an introduction to the invited papers before presenting each paper and the analysis, and then concludes with the list of references related to the study. The invited papers explore the various aspects of artificial intelligence. The analysis part assesses the major advances in artificial intelligence and provides a balanced analysis of the state of the art in this field. The Bibliography compiles the most important published material on the subject of

  9. Electronic Inspection of Beef

    Science.gov (United States)

    Anselmo, Victor J.; Gammell, Paul M.; Clark, Jerry

    1987-01-01

    Two proposed methods for grading beef quality based on inspection by electronic equipment: one method uses television camera to generate image of a cut of beef as customer sees it; other uses ultrasonics to inspect live animal or unsliced carcasses. Both methods show promise for automated meat inspection.

  10. Annual Radioactive Waste Tank Inspection Program - 1998

    Energy Technology Data Exchange (ETDEWEB)

    McNatt, F.G.

    1999-10-27

    Aqueous radioactive wastes from Savannah River Site separations processes are contained in large underground carbon steel tanks. Inspections made during 1998 to evaluate these vessels and auxiliary appurtenances, along with evaluations based on data accrued by inspections performed since the tanks were constructed, are the subject of this report.

  11. Annual radioactive waste tank inspection program - 1999

    Energy Technology Data Exchange (ETDEWEB)

    Moore, C.J.

    2000-04-14

    Aqueous radioactive wastes from Savannah River Site (SRS) separations processes are contained in large underground carbon steel tanks. Inspections made during 1999 to evaluate these vessels and auxiliary appurtenances along with evaluations based on data accrued by inspections performed since the tanks were constructed are the subject of this report.

  12. ANNUAL RADIOACTIVE WASTE TANK INSPECTION PROGRAM 2008

    Energy Technology Data Exchange (ETDEWEB)

    West, B.; Waltz, R.

    2009-06-11

    Aqueous radioactive wastes from Savannah River Site (SRS) separations and vitrification processes are contained in large underground carbon steel tanks. Inspections made during 2008 to evaluate these vessels and other waste handling facilities along with evaluations based on data from previous inspections are the subject of this report.

  13. Annual Radioactive Waste Tank Inspection Program - 1997

    Energy Technology Data Exchange (ETDEWEB)

    McNatt, F.G. [Westinghouse Savannah River Company, AIKEN, SC (United States)

    1998-05-01

    Aqueous radioactive wastes from Savannah River Site (SRS) separations processes are contained in large underground carbon steel tanks. Inspections made during 1997 to evaluate these vessels, and evaluations based on data accrued by inspections performed since the tanks were constructed are the subject of this report.

  14. Annual Radioactive Waste Tank Inspection Program - 2000

    Energy Technology Data Exchange (ETDEWEB)

    West, W.R.

    2001-04-17

    Aqueous radioactive wastes from Savannah River Site (SRS) separations and vitrification processes are contained in large underground carbon steel tanks. Inspections made during 2000 to evaluate these vessels and other waste handling facilities along with evaluations based on data from previous inspections are the subject of this report.

  15. Annual radioactive waste tank inspection program: 1995

    Energy Technology Data Exchange (ETDEWEB)

    McNatt, F.G. Sr.

    1996-04-01

    Aqueous radioactive wastes from Savannah River Site (SRS) separations processes are contained in large underground carbon steel tanks. Inspections made during 1995 to evaluate these vessels and evaluations based on data accrued by inspections performed since the tanks were constructed are the subject of this report

  16. Annual radioactive waste tank inspection program - 1996

    Energy Technology Data Exchange (ETDEWEB)

    McNatt, F.G.

    1997-04-01

    Aqueous radioactive wastes from Savannah River Site (SRS) separations processes are contained in large underground carbon steel tanks. Inspections made during 1996 to evaluate these vessels, and evaluations based on data accrued by inspections performed since the tanks were constructed, are the subject of this report.

  17. Annual Radioactive Waste Tank Inspection Program 1994

    Energy Technology Data Exchange (ETDEWEB)

    McNatt, F.G. Sr.

    1995-04-01

    Aqueous radioactive wastes from Savannah River Site (SRS) separations processes are contained in large underground carbon steel tanks. Inspections made during 1994 to evaluate these vessels and evaluations based on data accrued by inspections made since the tanks were constructed are the subject of this report.

  18. Inspection and processing of common parasitic zoonosis of slaughter%屠畜常见人畜共患寄生虫病的检验与处理

    Institute of Scientific and Technical Information of China (English)

    李汝春

    2015-01-01

    随着我国人民生活水平的不断提高,肉、蛋、乳、水产等动物性食品的消费量日益增加. 但是,动物的疫病很多,人们食用患病动物的产品会引起食物中毒或食肉感染. 肉源性动物的寄生虫病中,有许多是人畜共患寄生虫病,因此,为保证消费者食用安全,需要加强检验与处理.%With the continuous improvement of people's living standard in our country,the consump-tion of meat,eggs,milk products,aquatic products and other animal food was increasing. But animal epi-demics were a lot. When people took sick animal products,it could cause food poisoning or predatory in-fection. In meat source parasitic diseases of animals,many of them were parasitic zoonosis. Therefore,in order to ensure the food safety of consumers,it was necessary to strengthen inspection and processing.

  19. Can Fast and Slow Intelligence Be Differentiated?

    Science.gov (United States)

    Partchev, Ivailo; De Boeck, Paul

    2012-01-01

    Responses to items from an intelligence test may be fast or slow. The research issue dealt with in this paper is whether the intelligence involved in fast correct responses differs in nature from the intelligence involved in slow correct responses. There are two questions related to this issue: 1. Are the processes involved different? 2. Are the…

  20. Artificial Intelligence--Applications in Education.

    Science.gov (United States)

    Poirot, James L.; Norris, Cathleen A.

    1987-01-01

    This first in a projected series of five articles discusses artificial intelligence and its impact on education. Highlights include the history of artificial intelligence and the impact of microcomputers; learning processes; human factors and interfaces; computer assisted instruction and intelligent tutoring systems; logic programing; and expert…

  1. Business intelligence

    National Research Council Canada - National Science Library

    Cebotarean Elena

    2011-01-01

    Business intelligence (BI) refers to computer-based techniques used in spotting, digging-out, and analyzing business data, such as sales revenue by products and/or departments, or by associated costs and incomes...

  2. PENGEMBANGAN BUSINESS INTELLIGENCE BAGI PERKEMBANGAN BISNIS PERUSAHAAN

    OpenAIRE

    Eka Miranda

    2008-01-01

    This article discusses the Business Intelligence and its role to improve the company’s competitive advantage through the utilization of various data, information and knowledge held by the company as a raw material in the decision making process. This article also explains the elements of Business Intelligence applications, Business Intelligence Environment, integrating BI into the enterprise and the challenges faced by organizations in giving effect to Business Intelligence.Keywords: Business...

  3. Assessing Cognitive Abilities: Intelligence and More

    Directory of Open Access Journals (Sweden)

    Keith E. Stanovich

    2014-02-01

    Full Text Available In modern cognitive science, rationality and intelligence are measured using different tasks and operations. Furthermore, in several contemporary dual process theories of cognition, rationality is a more encompassing construct than intelligence. Researchers need to continue to develop measures of rational thought without regard to empirical correlations with intelligence. The measurement of individual differences in rationality should not be subsumed by the intelligence concept.

  4. Finding competitive intelligence on Internet start-up companies: a study of secondary resource use and information-seeking processes

    Directory of Open Access Journals (Sweden)

    2001-01-01

    Full Text Available The paper reports findings from a study of CI activities involving Internet start-up companies in the telecommunications industry. The CI gathering was conducted by graduate students in library and information science in the context of a class project for a real business client, itself a small Internet start-up company. The primary objective of the study was to provide empirical insights into the applicability of specific types of secondary information resources to finding competitive intelligence information on small Internet start-up companies. An additional objective was to identify the characteristics of research strategies applied in the collection of CI on Internet start-ups from the perspective of current conceptual frameworks of information-seeking behaviour presented in the library and information science literature. This study revealed some interesting findings regarding the types of secondary information resources that can be used to find competitive intelligence on small, Internet start-up companies. The study also provided insight into the characteristics of the overall information-seeking strategies that are applied in this type of competitive intelligence research.

  5. Autonomous underwater riser inspection tool

    Energy Technology Data Exchange (ETDEWEB)

    Camerini, Claudio; Marnet, Robson [Petrobras SA, (Brazil); Freitas, Miguel; Von der Weid, Jean Pierre [CPTI/PUC-Rio, Rio de Janeiro, (Brazil); Artigas Lander, Ricardo [EngeMOVI, Curitiba, (Brazil)

    2010-07-01

    The detection of damage on the riser is a serious concern for pipeline companies. Visual examinations by remotely operated vehicle (ROV) are presently carried out to detect the defects but this process has limitations and is expensive. This paper presents the development of a new tool to ensure autonomous underwater riser inspection (AURI) that uses the riser itself for guidance. The AURI, which is autonomous in terms of control and power supply, is equipped with several cameras that perform a complete visual inspection of the riser with 100 % coverage of the external surface of the riser. The paper presents the detailed characteristics of the first AURI prototype, describes its launching procedure and provides the preliminary test results from pool testing. The results showed that the AURI is a viable system for autonomous riser inspection. Offshore tests on riser pipelines are scheduled to be performed shortly.

  6. Ultrasonic Phased Array Inspection Simulations of Welded Components at NASA

    Science.gov (United States)

    Roth, D. J.; Tokars, R. P.; Martin, R. E.; Rauser, R. W.; Aldrin, J. C.; Schumacher, E. J.

    2009-01-01

    Comprehensive and accurate inspections of welded components have become of increasing importance as NASA develops new hardware such as Ares rocket segments for future exploration missions. Simulation and modeling will play an increased role in the future for nondestructive evaluation in order to better understand the physics of the inspection process and help explain the experimental results. It will also help to prove or disprove the feasibility for an inspection method or inspection scenario, help optimize inspections, and allow to a first approximation limits of detectability. This study presents simulation and experimental results for an ultrasonic phased array inspection of a critical welded structure important for NASA future exploration vehicles.

  7. Development of an Intelligent Robot for an Agricultural Production Ecosystem (VI) : Counting of Snails in Laboratory and Paddy by using Developed Programs of Image Processing

    OpenAIRE

    Luna Maldonado, Alejandro Isabel; Yamaguchi, Yusuke; Nakaji, Kei

    2009-01-01

    An image processing analysis to segment and count the golden apple snails in paddy field was done in order to develop an intelligent robot for a rice production ecosystem. The Simulink models for counting snails were constructed for three different condition of the paddy and for the case they are mating. It was found useful to use the color of the reflection of the sunshine on the shells of the snails in the daytime and the color of the snail itself after raining at night in order to count th...

  8. Volume of white matter hyperintensities is an independent predictor of intelligence quotient and processing speed in children with sickle cell disease.

    Science.gov (United States)

    van der Land, Veronica; Hijmans, Channa T; de Ruiter, Marieke; Mutsaerts, Henri J M M; Cnossen, Marjon H; Engelen, Marc; Majoie, Charles B L M; Nederveen, Aart J; Grootenhuis, Martha A; Fijnvandraat, Karin

    2015-02-01

    Sickle cell disease can be complicated by cerebral white matter hyperintensities (WMHs), which are associated with diminished neurocognitive functioning. The influence of the total volume of WMHs on the degree of neurocognitive dysfunction has not yet been characterized. In our study of 38 patients (mean age 12·5 years) we demonstrated that a higher volume of WMHs was associated with lower full-scale intelligence quotient (IQ), verbal IQ, Processing Speed Index and more fatigue. Our results suggest that volume of WMHs is an additional parameter to take into account when planning individual diagnostic and treatment options. © 2014 John Wiley & Sons Ltd.

  9. Approximations in Inspection Planning

    DEFF Research Database (Denmark)

    Engelund, S.; Sørensen, John Dalsgaard; Faber, M. H.

    2000-01-01

    Planning of inspections of civil engineering structures may be performed within the framework of Bayesian decision analysis. The effort involved in a full Bayesian decision analysis is relatively large. Therefore, the actual inspection planning is usually performed using a number of approximations....... One of the more important of these approximations is the assumption that all inspections will reveal no defects. Using this approximation the optimal inspection plan may be determined on the basis of conditional probabilities, i.e. the probability of failure given no defects have been found...... by the inspection. In this paper the quality of this approximation is investigated. The inspection planning is formulated both as a full Bayesian decision problem and on the basis of the assumption that the inspection will reveal no defects....

  10. Approximations in Inspection Planning

    DEFF Research Database (Denmark)

    Engelund, S.; Sørensen, John Dalsgaard; Faber, M. H.

    2000-01-01

    Planning of inspections of civil engineering structures may be performed within the framework of Bayesian decision analysis. The effort involved in a full Bayesian decision analysis is relatively large. Therefore, the actual inspection planning is usually performed using a number of approximations....... One of the more important of these approximations is the assumption that all inspections will reveal no defects. Using this approximation the optimal inspection plan may be determined on the basis of conditional probabilities, i.e. the probability of failure given no defects have been found...... by the inspection. In this paper the quality of this approximation is investigated. The inspection planning is formulated both as a full Bayesian decision problem and on the basis of the assumption that the inspection will reveal no defects....

  11. Network control stations in the smart grid. Process and information knots for business intelligence applications; Netzleitstellen im Smart Grid. Prozess- und Informationsknoten fuer Business Intelligence Applikationen

    Energy Technology Data Exchange (ETDEWEB)

    Kautsch, Stephan; Kroll, Meinhard [ABB AG, Mannheim (Germany); Schoellhorn, Daniel [EnBW Regional AG, Stuttgart (Germany)

    2012-07-01

    The degree of automation in the distribution will increase, whereas a more extensive monitoring is possible. Smart metering in the local network station replaces the drag pointers. This allows the pre-determined load flows to be precise and it can be determined and valuable data can be collected about how resources, for example the transformers in the secondary substations, are actually utilized. The amount of information available is increasing steadily, not least because of the increasing expansion of smart meters, that also provide valuable information for the operation of the distribution networks. This ''flood'' of data that is processed by the system, filtered, and analyzed must be prepared for the user in order to make sense, but can also be used to support and optimize many business processes. Although these tasks mentioned are usually not yet allocated within the grid operator organization, they offer themselves to be placed close to the network control centers as they propose new challenges but also opportunities. (orig.)

  12. Inspection, Enforcement and Court Processes

    DEFF Research Database (Denmark)

    Klemmensen, Børge

    2007-01-01

    Tilsynets og håndhævelsens former og opgaver i forsøget på at få reguleringen overholdt. En del sager ender i retten, der dog i mange tilfælde har svært ved at nå frem til en fældende afgørelse, da der ofte er problemer med beviserne i sådanne sager.......Tilsynets og håndhævelsens former og opgaver i forsøget på at få reguleringen overholdt. En del sager ender i retten, der dog i mange tilfælde har svært ved at nå frem til en fældende afgørelse, da der ofte er problemer med beviserne i sådanne sager....

  13. Keeping Current and Increasing The Effectiveness of the Decision-Making Process and the Interoperability in the Digital Age: Geospatial Intelligence and Geospatial Information Systems’ Applications in the Military and Intelligence Fields for the Mexican Navy

    Science.gov (United States)

    2008-12-01

    workload, as time goes by. In February 2008 the Mexican Navy created the Unidad de Inteligencia Naval, UIN (Navy intelligence Unit), which will be... Inteligencia Naval (Training and Research Lab on Analysis’ Software for the Navy Intelligence Unit). Nowadays, analytical software has become a

  14. Artificial intelligence in cardiology.

    Science.gov (United States)

    Bonderman, Diana

    2017-10-04

    Decision-making is complex in modern medicine and should ideally be based on available data, structured knowledge and proper interpretation in the context of an individual patient. Automated algorithms, also termed artificial intelligence that are able to extract meaningful patterns from data collections and build decisions upon identified patterns may be useful assistants in clinical decision-making processes. In this article, artificial intelligence-based studies in clinical cardiology are reviewed. The text also touches on the ethical issues and speculates on the future roles of automated algorithms versus clinicians in cardiology and medicine in general.

  15. Artificial intelligence and psychiatry.

    Science.gov (United States)

    Servan-Schreiber, D

    1986-04-01

    This paper provides a brief historical introduction to the new field of artificial intelligence and describes some applications to psychiatry. It focuses on two successful programs: a model of paranoid processes and an expert system for the pharmacological management of depressive disorders. Finally, it reviews evidence in favor of computerized psychotherapy and offers speculations on the future development of research in this area.

  16. Synthetic collective intelligence.

    Science.gov (United States)

    Solé, Ricard; Amor, Daniel R; Duran-Nebreda, Salva; Conde-Pueyo, Núria; Carbonell-Ballestero, Max; Montañez, Raúl

    2016-10-01

    Intelligent systems have emerged in our biosphere in different contexts and achieving different levels of complexity. The requirement of communication in a social context has been in all cases a determinant. The human brain, probably co-evolving with language, is an exceedingly successful example. Similarly, social insects complex collective decisions emerge from information exchanges between many agents. The difference is that such processing is obtained out of a limited individual cognitive power. Computational models and embodied versions using non-living systems, particularly involving robot swarms, have been used to explore the potentiality of collective intelligence. Here we suggest a novel approach to the problem grounded in the genetic engineering of unicellular systems, which can be modified in order to interact, store memories or adapt to external stimuli in collective ways. What we label as Synthetic Swarm Intelligence defines a parallel approach to the evolution of computation and swarm intelligence and allows to explore potential embodied scenarios for decision making at the microscale. Here, we consider several relevant examples of collective intelligence and their synthetic organism counterparts.

  17. FAA Fluorescent Penetrant Laboratory Inspections

    Energy Technology Data Exchange (ETDEWEB)

    WINDES,CONNOR L.; MOORE,DAVID G.

    2000-08-02

    The Federal Aviation Administration Airworthiness Assurance NDI Validation Center currently assesses the capability of various non-destructive inspection (NDI) methods used for analyzing aircraft components. The focus of one such exercise is to evaluate the sensitivity of fluorescent liquid penetrant inspection. A baseline procedure using the water-washable fluorescent penetrant method defines a foundation for comparing the brightness of low cycle fatigue cracks in titanium test panels. The analysis of deviations in the baseline procedure will determine an acceptable range of operation for the steps in the inspection process. The data also gives insight into the depth of each crack and which step(s) of the inspection process most affect penetrant sensitivities. A set of six low cycle fatigue cracks produced in 6.35-mm thick Ti-6Al-4V specimens was used to conduct the experiments to produce sensitivity data. The results will document the consistency of the crack readings and compare previous experiments to find the best parameters for water-washable penetrant.

  18. Intelligent control based on intelligent characteristic model and its application

    Institute of Scientific and Technical Information of China (English)

    吴宏鑫; 王迎春; 邢琰

    2003-01-01

    This paper presents a new intelligent control method based on intelligent characteristic model for a kind of complicated plant with nonlinearities and uncertainties, whose controlled output variables cannot be measured on line continuously. The basic idea of this method is to utilize intelligent techniques to form the characteristic model of the controlled plant according to the principle of combining the char-acteristics of the plant with the control requirements, and then to present a new design method of intelli-gent controller based on this characteristic model. First, the modeling principles and expression of the intelligent characteristic model are presented. Then based on description of the intelligent characteristic model, the design principles and methods of the intelligent controller composed of several open-loops and closed-loops sub controllers with qualitative and quantitative information are given. Finally, the ap-plication of this method in alumina concentration control in the real aluminum electrolytic process is in-troduced. It is proved in practice that the above methods not only are easy to implement in engineering design but also avoid the trial-and-error of general intelligent controllers. It has taken better effect in the following application: achieving long-term stable control of low alumina concentration and increasing the controlled ratio of anode effect greatly from 60% to 80%.

  19. Genetic and Environmental Influences on Two Measures of Speed of Information Processing and Their Relation to Psychometric Intelligence: Evidence from the German Observational Study of Adult Twins.

    Science.gov (United States)

    Neubauer, Alioscha C.; Spinath, Frank M.; Riemann, Rainer; Angleitner, Alois; Borkenau, Peter

    2000-01-01

    Administered 2 elementary cognitive task (ECT) tests and 2 psychometric intelligence tests to 169 monozygotic and 131 dizygotic pairs of twins in Germany. Reaction times correlated negatively with psychometric intelligence, and habitability estimates were substantial for both psychometric intelligence and reaction times on the ECTs. Multivariate…

  20. 模拟细菌菌落进化过程的群体智能算法%New Swarm Intelligence Algorithm Simulating Evolution Process of Bacterial Colony

    Institute of Scientific and Technical Information of China (English)

    李明

    2013-01-01

    针对常规群体智能算法缺乏进化能力,存在易于陷入早熟收敛的不足,将问题的解空间视为细菌培养液,在其中放置单个或少量细菌个体,模拟细菌菌落的生长进化过程,提出一种新的群体智能算法.该算法本身具有进化机制,并且能够自然结束,从而为优化算法提出了一种新的结束准则.通过仿真实验验证了算法的有效性,同时仿真实验结果还表明通过简单改进,算法可以达到全局最优.%Traditional swarm intelligence algorithms lack of evolution ability and are easy to fall into premature convergence. Therefore, a new kind of swarm intelligence algorithm, called bacterial colony optimization (BCO) algorithm, was proposed. The solution space of the problem was considered as a certain culture medium. A single bacterium or a few bacteria were placed randomly in the space. The BCO algorithm was designed through simulating the evolution process of the bacterial colony. The BCO itself has a certain evolutionary mechanism and could be terminated naturally, which has given a new termination criterion for swarm intelligence algorithms. A series of simulation experiments on three test functions verify the effectiveness of the BCO algorithm. The simulation results show that the BCO algorithm can converge to the global optimization solution.

  1. Reducing the Electrical Consumption in the Humidity Control Process for Electric Cells using an Intelligent Fuzzy Logic Controller

    Directory of Open Access Journals (Sweden)

    Rafik Lasri

    2016-12-01

    Full Text Available The electrical energy distribution uses a huge network to cover the urbanized areas. The network distribution incorporates an important number of electrical cells that ensure the energy transformation. These cells play a fundamental role to ensure a permanent feeding. Thus, the performance of these cells must be optimized. The main problem that affects these cells is the inside humidity that should be controlled permanently to prevent serious damage and power failure. The presented work proposes the use of a powerful intelligent Fuzzy Logic Controller that can online adapt their internal parameters according to the actually state of the controlled plant and auto-learn from the behavior of the plant how the current humidity level can be decreased. The used controller can stabilize the humidity inside the cells within the recommended range by controlling a set of heating resistances installed inside these cells and in the same time ensuring valuable advantages for the electrical energy distribution company. Unlike the rest of the controllers that are used to stabilize moisture. The intelligent controller used in these papers ensures a very precise control with very low power consumption which trains a very significant energy savings in each electrical cell. Knowing that the distribution network incorporates a very large number of electrical cells, the final savings balance would be a very high amount of energy that can be presented economically with significant savings on the electricity bills.

  2. Design inspections for systems undergoing design modifications

    Energy Technology Data Exchange (ETDEWEB)

    Grimes, B.K.; Norkin, D.P.

    1987-01-01

    The US Nuclear Regulatory Commission's (NRC's) Office of Inspection and Enforcement (IE) has conducted direct inspections (integrated design inspections) of the technical aspects of the nuclear plant design process for several plants under construction. It has also evaluated independent design verification programs and engineering assurance programs at a number of other plants under construction. Many of the lessons learned from these construction phase efforts are directly applicable to operating plants undergoing major modifications. This has been confirmed by IE direct inspections of the design aspects of safety systems outage modifications, which have identified significant potential safety-related deficiencies. The paper discusses methodology for design inspections; failure to maintain up-to-date design basis documentation; and lessons learned common to plants under construction and undergoing major modifications.

  3. On automatic visual inspection of reflective surfaces

    DEFF Research Database (Denmark)

    Kulmann, Lionel

    1995-01-01

    surveyed visual inspection system design methods and presented available image processing hardware to perform high resolution image capture. We present general usable practical visual inspection system solutions, when performing high resolution visual inspection of surfaces. We have presented known and new......This thesis descrbes different methods to perform automatic visual inspection of reflective manufactured products, with the aim of increasing productivity, reduce cost and improve the quality level of the production. We investigate two different systems performing automatic visual inspection...... in algorithms for detecting 3-dimensional surface damages based on images from a novel structured lighting setup enhancing the appearance of these defects in specular surfaces. A hardware implementable polynomial classifier structure has been described and compared to better known techniques based...

  4. Noncontacting Optical Measurement And Inspection Systems

    Science.gov (United States)

    Asher, Jeffrey A.; Jackson, Robert L.

    1986-10-01

    Product inspection continues to play a growing role in the improvement of quality and reduction of scrap. Recent emphasis on precision measurements and in-process inspection have been a driving force for the development of noncontacting sensors. Noncontacting sensors can provide long term, unattended use due to the lack of sensor wear. Further, in applications where, sensor contact can damage or geometrically change the part to be measured or inspected, noncontacting sensors are the only technical approach available. MTI is involved in the development and sale of noncontacting sensors and custom inspection systems. This paper will review the recent advances in noncontacting sensor development. Machine vision and fiber optics sensor systems are finding a wide variety of industrial inspection applications. This paper will provide detailed examples of several state-of-the-art applications for these noncontacting sensors.

  5. OPV for mobile applications. An evaluation of roll-to-roll processed indium and silver free polymer solar cells through analysis of life cycle, cost and layer quality using inline optical and functional inspection tools

    Energy Technology Data Exchange (ETDEWEB)

    Espinos, N.; Angmo, D.; Hoesel, M.; Soendergaard, R.R.; Joergensen, M.; Krebs, F.C. [Department of Energy Conversion and Storage, Technical University of Denmark, Frederiksborgvej 399, DK-4000 Roskilde (Denmark); Lenzmann, F.O. [ECN Solar Energy, P.O. Box 1, 1755 ZG Petten (Netherlands); Ryley, S. [UK Materials Technology Research Institute, Nottingham Road, Melton Mowbray (United Kingdom); Huss, D.; Dafinger, S.; Gritsch, S. [Dr. Schenk GmbH Industriemesstechnik, Einsteinstrasse 37, D-82152 Planegg (Germany); Kroon, J.M. [ECN Solar Energy, High Tech Campus 5 P-61, 5656 AE Eindhoven (Netherlands)

    2013-05-08

    Organic photovoltaic modules have been evaluated for their integration in mobile electronic applications such as a laser pointer. An evaluation of roll-to-roll processed indium and silver free polymer solar cells has been carried out from different perspectives: life cycle assessment, cost analysis and layer quality evaluation using inline optical and functional inspection tools. The polymer solar cells were fabricated in credit card sized modules by three routes, and several encapsulation alternatives have been explored, with the aim to provide the simplest but functional protection against moisture and oxygen, which could deteriorate the performance of the cells. The analysis shows that ITO- and silver-free options are clearly advantageous in terms of energy embedded over the traditional modules, and that encapsulation must balance satisfying the protection requirements while having at the same time a low carbon footprint. From the economic perspective there is a huge reduction in the cost of the ITO- and silver-free options, reaching as low as 0.25 euro for the OPV module. We used inspection tools such as a roll-to-roll inspection system to evaluate all processing steps during the fabrication and analyse the layers' quality and forecast whether a module will work or not and establish any misalignment of the printed pattern or defects in the layers that can affect the performance of the devices. This has been found to be a good tool to control the process and to increase the yield.

  6. ECONOMIC INTELLIGENCE - THEORETICAL AND PRACTICAL ASPECTS

    Directory of Open Access Journals (Sweden)

    VIRGIL - ION POPOVICI

    2014-12-01

    Full Text Available Economic Intelligence (EI may be a solution in knowledge management as involves collecting, evaluating, processing, analysis and dissemination of economic data within organizations. The ultimate goal of economic intelligence (EI is to take advantage of this opportunity to develop and improve methods for identifying relevant information sources, analysis of information collected and manipulation, to give the user all the necessary decisions. Scope of the Economic Intelligence focused on information available outside the organization, covering wide areas from technology to market or legal issues. Economic Intelligence (EI is closely related to other approaches to information management, and knowledge management and business intelligence, excelling in the use of software tools.

  7. EUV blank inspection

    Science.gov (United States)

    Peters, J. H.; Tonk, C.; Spriegel, D.; Han, Hak-Seung; Cho, Wonil; Wurm, Stefan

    2008-04-01

    One of the major topics for the introduction of extreme ultraviolet (EUV) technology is the availability of defect-free masks. From the mask makers' perspective, the quality of the incoming blank material is one of the key ingredients impacting the yield of structured masks. Besides flatness and layer thickness uniformity, the number of defects determines the final quality of the mask delivered to the customer for printing. Defects within the layers of optical blanks have shown that they have a growing impact on the mask structuring process, well below the usual defect specifications of the blanks. It is expected that this finding will also hold true for material layers above the multi-layer. In addition to printing performance, EUV masks need to have a defect-free multi-layer. While this layer is easily accessible during blank production, mask makers usually acquire the complete blank stacks with or without the coated resist. Incoming blank inspection, therefore, must check the quality of the complete stack without destroying any of the functionality of these layers. Siemens and AMTC have jointly developed a blank inspection tool that has been installed in AMTC's Dresden facility and that allows the screening of an EUV blank under these boundary conditions. Previously, SEMATECH successfully installed an M7360 from Lasertec in its Mask Blank Development Center (MBDC) in Albany, NY, that shows much better sensitivity data than SEMATECH's earlier tool, the Lasertec M1350. This paper describes the early performance of the Siemens DF-40XP on programmed multi-layer defect blanks and regular blanks and compares it to that of the existing tools at the SEMATECH MBDC.

  8. Civic Intelligence.

    Science.gov (United States)

    Mathews, David

    1985-01-01

    Social studies must educate students to be socially responsible, civically competent persons. In addition to encouraging civic literacy, civic values, and civic skill, teachers need to help students develop civic-mindedness. The objective of the NCSS' National Issues Forum in the Classroom Project is to develop students' civic intelligence. (RM)

  9. Speech Intelligibility

    Science.gov (United States)

    Brand, Thomas

    Speech intelligibility (SI) is important for different fields of research, engineering and diagnostics in order to quantify very different phenomena like the quality of recordings, communication and playback devices, the reverberation of auditoria, characteristics of hearing impairment, benefit using hearing aids or combinations of these things.

  10. Ambient intelligence

    OpenAIRE

    Sanders, David; Gegov, Alexander

    2006-01-01

    This paper considers some history and the state of the art of Ambient Intelligence and from that seeks to identify new topics and future work. Ubiquitous computing, communications, human-centric computer interaction, embedded systems, context awareness, adaptive systems and distributed device networks are considered.

  11. Multi-objective Optimization of Continuous Drive Friction Welding Process Parameters Using Response Surface Methodology with Intelligent Optimization Algorithm

    Institute of Scientific and Technical Information of China (English)

    P M AJITH; T MAFSAL HUSAIN; P SATHIYA; S ARAVINDAN

    2015-01-01

    The optimum friction welding (FW) parameters of duplex stainless steel (DSS) UNS S32205 joint was determined. The experiment was carried out as the central composite array of 30 experiments. The selected input parameters were friction pressure (F), upset pressure (U), speed (S) and burn-off length (B), and responses were hardness and ultimate tensile strength. To achieve the quality of the welded joint, the ultimate tensile strength and hardness were maximized, and response surface methodology (RSM) was applied to create separate regression equations of tensile strength and hardness. Intelligent optimization technique such as genetic algorithm was used to predict the Pareto optimal solutions. Depending upon the application, preferred suitable welding parameters were selected. It was inferred that the changing hardness and tensile strength of the friction welded joint inlfuenced the upset pressure, friction pressure and speed of rotation.

  12. INTENSITY OF THE DYNAMICS OF PHYSICAL PREPAREDNESS IN THE PROCESS OF STUDENTS GROWING UP WITH DIFFERENT LEVELS OF INTELLIGENCE

    Directory of Open Access Journals (Sweden)

    E. M. Revenko

    2016-01-01

    Full Text Available The purpose of the investigation is the scientific substantiation forthe implementation of a differentiated approach to the organization of physical education on the basis of accounting students individually-typological features of the age.Methods. Motor abilities of students are studied by measuring: force (backbone dynamometry, strength endurance (pulling up on the bar, speed-strength abilities (long jump from their seats, as well as high-speed capacity (running at 30, 60 or 100 meters, depending on the age, aerobic endurance (running at 1000 or 3000 m, depending on age. The dynamics of the integrated physical preparedness (DIPP of each student is estimated by calculating the arithmetic mean value of the growth rate of the development of motor abilities listed above (the results of 5 tests. Evaluation of general intelligence (GI of schoolchildren in 8, 10 and 11 classes, students of 1 – 3 courses carried out by the test of R. Amthauer adapted by L. A. Yasyukova [13], and the 6 classes pupils – through the intellectual test (GIT [1].Results. It was experimentally established that students of 6, 8, 10, 11 grades and 1 – 3 courses at higher intelligence level have a low dynamics of physical fitness. On the contrary, students with a lower level of intelligence revealed a high dynamics of physical fitness. Marked discrepancies in the dynamics of the development of mental and motor areas of maturing personality are interpreted as individual-typological features of age-related development. Based on these facts it is concluded that the organization of physical education on the basis of program-regulatory approach with common unified requirements involved, will not allow to create conditions for highquality physical education of the younger generation and the formation of a sustainable motivation for self-employment by physical exercises.Scientific novelty. Scientific evidence of sustained differences in the dynamics of the

  13. Focusing Automatic Code Inspections

    NARCIS (Netherlands)

    Boogerd, C.J.

    2010-01-01

    Automatic Code Inspection tools help developers in early detection of defects in software. A well-known drawback of many automatic inspection approaches is that they yield too many warnings and require a clearer focus. In this thesis, we provide such focus by proposing two methods to prioritize

  14. ANNUAL RADIOACTIVE WASTE TANK INSPECTION PROGRAM 2009

    Energy Technology Data Exchange (ETDEWEB)

    West, B.; Waltz, R.

    2010-06-21

    Aqueous radioactive wastes from Savannah River Site (SRS) separations and vitrification processes are contained in large underground carbon steel tanks. Inspections made during 2009 to evaluate these vessels and other waste handling facilities along with evaluations based on data from previous inspections are the subject of this report. The 2009 inspection program revealed that the structural integrity and waste confinement capability of the Savannah River Site waste tanks were maintained. All inspections scheduled per LWO-LWE-2008-00423, HLW Tank Farm Inspection Plan for 2009, were completed. All Ultrasonic measurements (UT) performed in 2009 met the requirements of C-ESG-00006, In-Service Inspection Program for High Level Waste Tanks, Rev. 1, and WSRC-TR-2002-00061, Rev.4. UT inspections were performed on Tank 29 and the findings are documented in SRNL-STI-2009-00559, Tank Inspection NDE Results for Fiscal Year 2009, Waste Tank 29. Post chemical cleaning UT measurements were made in Tank 6 and the results are documented in SRNL-STI-2009-00560, Tank Inspection NDE Results Tank 6, Including Summary of Waste Removal Support Activities in Tanks 5 and 6. A total of 6669 photographs were made and 1276 visual and video inspections were performed during 2009. Twenty-Two new leaksites were identified in 2009. The locations of these leaksites are documented in C-ESR-G-00003, SRS High Level Waste Tank Leaksite Information, Rev.4. Fifteen leaksites at Tank 5 were documented during tank wall/annulus cleaning activities. Five leaksites at Tank 6 were documented during tank wall/annulus cleaning activities. Two new leaksites were identified at Tank 19 during waste removal activities. Previously documented leaksites were reactivated at Tanks 5 and 12 during waste removal activities. Also, a very small amount of additional leakage from a previously identified leaksite at Tank 14 was observed.

  15. Intelligent machine tools. Kosaku kikai no intelligent ka

    Energy Technology Data Exchange (ETDEWEB)

    Moriwaki, T. (Kobe Univ., Kobe (Japan). Faculty of Engineering)

    1993-12-05

    A background of the trend to equip machine tools with intelligence is reviewed and the outline of intelligent machine tools that are now in the process of research and development is surveyed. The flexible manufacturing system (FMS) that was born in the process of automation of machine manufacturing has been proved, in fact, inflexible in the hierarchical structure of information system. This directs attention of transferring to an autonomous and dispersed manufacturing system. In the system, structural components such as machine tools are required to be highly intelligent enough to produce things, while deciding their will autonomously according to their own criteria in cooperation with other components and attempting to optimize the system. The hardware of intelligent machine tools consists of an interface part to intermediate between machines and computers or human, a core system of center of intelligence, and a machine tool part responsible to process things actually. As to processing of information and movement, they consist of processing parts of pre-process, in-process and post-process. A brief introduction is given on their basic functions and on the present state of related researches. 8 refs., 4 figs.

  16. Novel applications of intelligent systems

    CERN Document Server

    Kasabov, Nikola; Filev, Dimitar; Jotsov, Vladimir

    2016-01-01

    In this carefully edited book some selected results of theoretical and applied research in the field of broadly perceived intelligent systems are presented. The problems vary from industrial to web and problem independent applications. All this is united under the slogan: "Intelligent systems conquer the world”. The book brings together innovation projects with analytical research, invention, retrieval and processing of knowledge and logical applications in technology. This book is aiming to a wide circle of readers and particularly to the young generation of IT/ICT experts who will build the next generations of intelligent systems.

  17. MRT fuel element inspection at Dounreay

    Energy Technology Data Exchange (ETDEWEB)

    Gibson, J.

    1997-08-01

    To ensure that their production and inspection processes are performed in an acceptable manner, ie. auditable and traceable, the MTR Fuel Element Fabrication Plant at Dounreay operates to a documented quality system. This quality system, together with the fuel element manufacturing and inspection operations, has been independently certified to ISO9002-1987, EN29002-1987 and BS5750:Pt2:1987 by Lloyd`s Register Quality Assurance Limited (LRQA). This certification also provides dual accreditation to the relevant German, Dutch and Australian certification bodies. This paper briefly describes the quality system, together with the various inspection stages involved in the manufacture of MTR fuel elements at Dounreay.

  18. Risk-based methodology for USNRC inspections

    Energy Technology Data Exchange (ETDEWEB)

    Wong, S.M. [Brookhaven National Lab., Upton, NY (United States); Holahan, G.M.; Chung, J.W.; Johnson, M.R. [Nuclear Regulatory Commission, Washington, DC (United States). Office of Nuclear Reactor Regulation

    1995-12-01

    This paper describes the development and trial applications of a risk-based methodology to enhance the inspection processes for US nuclear power plants. Objectives of risk-based methods to complement prescriptive engineering approaches in US Nuclear Regulatory Commission (USNRC) inspection programs are presented. Insights from time-dependent risk profiles of plant configurational from Individual Plant Evaluation (IPE) studies were integrated to develop a framework for optimizing inspection efforts in NRC regulatory initiatives. Lessons learned from NRC pilot applications of the risk-based methodology for evaluation of the effectiveness of operational risk management programs at US nuclear power plant sites are also discussed.

  19. Industrial applications of automated X-ray inspection

    Science.gov (United States)

    Shashishekhar, N.

    2015-03-01

    Many industries require that 100% of manufactured parts be X-ray inspected. Factors such as high production rates, focus on inspection quality, operator fatigue and inspection cost reduction translate to an increasing need for automating the inspection process. Automated X-ray inspection involves the use of image processing algorithms and computer software for analysis and interpretation of X-ray images. This paper presents industrial applications and illustrative case studies of automated X-ray inspection in areas such as automotive castings, fuel plates, air-bag inflators and tires. It is usually necessary to employ application-specific automated inspection strategies and techniques, since each application has unique characteristics and interpretation requirements.

  20. Criticality accident in uranium fuel processing plant. Efficacy of insurance and third party inspection system. Capability margins of insurance, in view of bitter experience at JCO

    Energy Technology Data Exchange (ETDEWEB)

    Izumi, Taiichiro [Songaihokenryoritsusanteikai (Japan)

    2000-08-01

    Among persons relating to safety engineering, most of them point out merit and demerit of safety theory in Japan since a long term before. Under national policy aiming at growth and expansion due to a policy under leading of government after war, running for about 50 years remained some strains containing a number of contradictions and absurdities in various fields. Here was described mainly on how to be done safety accident protection and inspection on a base of happenings incidentally seen at a chance of the criticality accident. Therefore, here were also established some viewpoints such as transferable risk, limit from insurance feature, genealogy of insurance, under-writing, and risk management, to mention effectiveness of the third party inspection with closed relationship with accident insurance. (G.K.)

  1. A novel method for surface defect inspection of optic cable with short-wave infrared illuminance

    Science.gov (United States)

    Chen, Xiaohong; Liu, Ning; You, Bo; Xiao, Bin

    2016-07-01

    Intelligent on-line detection of cable quality is a crucial issue in optic cable factory, and defects on the surface of optic cable can dramatically depress cable grade. Manual inspection in optic cable quality cannot catch up with the development of optic cable industry due to its low detection efficiency and huge human cost. Therefore, real-time is highly demanded by industry in order to replace the subjective and repetitive process of manual inspection. For this reason, automatic cable defect inspection has been a trend. In this paper, a novel method for surface defect inspection of optic cable with short-wave infrared illuminance is presented. The special condition of short-wave infrared cannot only provide illumination compensation for the weak illumination environment, but also can avoid the problem of exposure when using visible light illuminance, which affects the accuracy of inspection algorithm. A series of image processing algorithms are set up to analyze cable image for the verification of real-time and veracity of the detection method. Unlike some existing detection algorithms which concentrate on the characteristics of defects with an active search way, the proposed method removes the non-defective areas of the image passively at the same time of image processing, which reduces a large amount of computation. OTSU algorithm is used to convert the gray image to the binary image. Furthermore, a threshold window is designed to eliminate the fake defects, and the threshold represents the considered minimum size of defects ε . Besides, a new regional suppression method is proposed to deal with the edge burrs of the cable, which shows the superior performance compared with that of Open-Close operation of mathematical morphological in the boundary processing. Experimental results of 10,000 samples show that the rates of miss detection and false detection are 2.35% and 0.78% respectively when ε equals to 0.5 mm, and the average processing period of one frame

  2. 77 FR 75118 - National Advisory Committee on Meat and Poultry Inspection

    Science.gov (United States)

    2012-12-19

    ... Food Safety and Inspection Service National Advisory Committee on Meat and Poultry Inspection AGENCY... the National Advisory Committee on Meat and Poultry Inspection (NACMPI). The Committee is being..., poultry, and processed egg products, inspection, safety, and other matters that fall within the scope...

  3. Emotional Intelligence in medical practice

    OpenAIRE

    Abu Hasan Sarkar; Janumoni Senapati

    2016-01-01

    Emotional Intelligence is the ability to perceive, express, understand and regulate one’s inner emotions and the emotions of others. It is considered to be a ‘must have’ competence in the workplace. Several scientific studies have proven that the application of emotional intelligence is effective in improving the teaching-learning process and that it leads to organizational growth; however, only limited work has been carried out to assess its effectiveness in the practice of medicine, espe...

  4. The promise of cyborg intelligence.

    Science.gov (United States)

    Brown, Michael F; Brown, Alexander A

    2017-03-01

    Yu et al. (2016) demonstrated that algorithms designed to find efficient routes in standard mazes can be integrated with the natural processes controlling rat navigation and spatial choices, and they pointed out the promise of such "cyborg intelligence" for biorobotic applications. Here, we briefly describe Yu et al.'s work, explore its relevance to the study of comparative cognition, and indicate how work involving cyborg intelligence would benefit from interdisciplinary collaboration between behavioral scientists and engineers.

  5. The handbook of artificial intelligence

    CERN Document Server

    Barr, Avron J

    1981-01-01

    The Handbook of Artificial Intelligence, Volume I focuses on the progress in artificial intelligence (AI) and its increasing applications, including parsing, grammars, and search methods.The book first elaborates on AI, AI handbook and literature, problem representation, search methods, and sample search programs. The text then ponders on representation of knowledge, including survey of representation techniques and representation schemes. The manuscript explores understanding natural languages, as well as machine translation, grammars, parsing, test generation, and natural language processing

  6. Artificial Intelligence.

    Science.gov (United States)

    Lawrence, David R; Palacios-González, César; Harris, John

    2016-04-01

    It seems natural to think that the same prudential and ethical reasons for mutual respect and tolerance that one has vis-à-vis other human persons would hold toward newly encountered paradigmatic but nonhuman biological persons. One also tends to think that they would have similar reasons for treating we humans as creatures that count morally in our own right. This line of thought transcends biological boundaries-namely, with regard to artificially (super)intelligent persons-but is this a safe assumption? The issue concerns ultimate moral significance: the significance possessed by human persons, persons from other planets, and hypothetical nonorganic persons in the form of artificial intelligence (AI). This article investigates why our possible relations to AI persons could be more complicated than they first might appear, given that they might possess a radically different nature to us, to the point that civilized or peaceful coexistence in a determinate geographical space could be impossible to achieve.

  7. Discussion on the Matter Needing Attention of Food Sample in Process of Inspection%浅谈粮食样品检测过程中的注意事项

    Institute of Scientific and Technical Information of China (English)

    于杰; 张军辉

    2011-01-01

    Food quality inspection work is an important part of grain, and it improves the accuracy of the test results that people eat the food safely.Based on years food inspection work, on the basis of matters needing attentions in the process of food inspection for analysis, the authors put forward views to ensure the accuracy of the test results of grain quality.%粮食质量检验是粮食工作的重要组成部分,提高检测结果的准确性为保障人民群众吃上安全放心的粮食提供重要的依据.本文在多年粮食检测工作的基础上,对粮食检测过程中应注意的事项进行总结分析,为确保粮食质量检验结果的准确性提出浅显的见解.

  8. Better Equipping Reserve Military Intelligence Analyst to Meet the Needs of the Commander by Championing a Process-Driven Training Model

    Science.gov (United States)

    2013-06-14

    Intelligence SME Subject Matter Expert SU Situational Understanding TDA Tables of Distribution and Allowances TECHINT Technical Intelligence TPU Troop Program...Theater Support Battalion (TSB), MI Interrogation Battalion, MI Technical Intelligence (TECHINT) Battalion, and TDA Battalion. The objective for MI...professional military education, individual training, and force modernization. Reset is 39 days for Theater Support, BfSB and TDA units and 45 days

  9. Process for increasing the signal to noise ratio in inspection of metallic tubes by eddy currents; Procede permettant de reduire le bruit de fond au cours du controle de tubes metalliques par courant de Foucault et tubes realises par ce procede

    Energy Technology Data Exchange (ETDEWEB)

    Buret, J.L.; Vuillaume, D.

    1995-02-10

    The process for increasing the signal to noise ratio in inspection of metallic tubes which have been cold pigger rolled consists to subject the tube to one or more drawing passes to reduce its external diameter.

  10. Intelligence Revisited

    Science.gov (United States)

    2005-05-01

    environment (i.e., culture , class, family, educational 2 Chapter 23 Intelligence Revisited opportunities, gender) shapes our intellect, and there are no...connectivity is going to be rather problematic, to say the least. A single nano-bot cruising this Disneyland of synaptic wonderment is certainly... cultures ). Embodiment – A sense of being anchored to our physical bodies. Agency – A sense of free will, wherein we are in charge of our own

  11. Intelligence in children

    Directory of Open Access Journals (Sweden)

    Martín Nader

    2015-09-01

    Full Text Available Partial results of an investigation are presented whose primary objective is to adapt and to standardize the neurocognitive assessment battery C.A.S. of Das and Naglieri (1997 in a child sample. The test is an operationalization of a non traditional intelligence model (PASS that considers the intelligent behaviors as a group of four cognitive basic processes (planning, attention, simultaneous and successive processing. The objectives of this work are to obtain the psychometric properties of the instrument and also, to analyze if differences exist according to sex and age. The study type is crosswise - transactional. It was administered the CAS to 150 children residents in Buenos Aires among the ages of 6 to 12 years (population general non consultant and the WISC-III to a sample of 50 children. 

  12. Trends in Artificial Intelligence.

    Science.gov (United States)

    Hayes, Patrick

    1978-01-01

    Discusses the foundations of artificial intelligence as a science and the types of answers that may be given to the question, "What is intelligence?" The paradigms of artificial intelligence and general systems theory are compared. (Author/VT)

  13. ANNUAL RADIOACTIVE WASTE TANK INSPECTION PROGRAM 2010

    Energy Technology Data Exchange (ETDEWEB)

    West, B.; Waltz, R.

    2011-06-23

    Aqueous radioactive wastes from Savannah River Site (SRS) separations and vitrification processes are contained in large underground carbon steel tanks. Inspections made during 2010 to evaluate these vessels and other waste handling facilities along with evaluations based on data from previous inspections are the subject of this report. The 2010 inspection program revealed that the structural integrity and waste confinement capability of the Savannah River Site waste tanks were maintained. All inspections scheduled per SRR-LWE-2009-00138, HLW Tank Farm Inspection Plan for 2010, were completed. Ultrasonic measurements (UT) performed in 2010 met the requirements of C-ESG-00006, In-Service Inspection Program for High Level Waste Tanks, Rev. 3, and WSRC-TR-2002-00061, Rev.6. UT inspections were performed on Tanks 30, 31 and 32 and the findings are documented in SRNL-STI-2010-00533, Tank Inspection NDE Results for Fiscal Year 2010, Waste Tanks 30, 31 and 32. A total of 5824 photographs were made and 1087 visual and video inspections were performed during 2010. Ten new leaksites at Tank 5 were identified in 2010. The locations of these leaksites are documented in C-ESR-G-00003, SRS High Level Waste Tank Leaksite Information, Rev.5. Ten leaksites at Tank 5 were documented during tank wall/annulus cleaning activities. None of these new leaksites resulted in a release to the environment. The leaksites were documented during wall cleaning activities and the waste nodules associated with the leaksites were washed away. Previously documented leaksites were reactivated at Tank 12 during waste removal activities.

  14. Signal Station Inspection Reports

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Handwritten reports resulting from detailed inspections of US Army Signal Service Stations, 1871-1889. Features reported included instrument exposure and condition,...

  15. Physical Intelligence and Thermodynamic Computing

    Directory of Open Access Journals (Sweden)

    Robert L. Fry

    2017-03-01

    Full Text Available This paper proposes that intelligent processes can be completely explained by thermodynamic principles. They can equally be described by information-theoretic principles that, from the standpoint of the required optimizations, are functionally equivalent. The underlying theory arises from two axioms regarding distinguishability and causality. Their consequence is a theory of computation that applies to the only two kinds of physical processes possible—those that reconstruct the past and those that control the future. Dissipative physical processes fall into the first class, whereas intelligent ones comprise the second. The first kind of process is exothermic and the latter is endothermic. Similarly, the first process dumps entropy and energy to its environment, whereas the second reduces entropy while requiring energy to operate. It is shown that high intelligence efficiency and high energy efficiency are synonymous. The theory suggests the usefulness of developing a new computing paradigm called Thermodynamic Computing to engineer intelligent processes. The described engineering formalism for the design of thermodynamic computers is a hybrid combination of information theory and thermodynamics. Elements of the engineering formalism are introduced in the reverse-engineer of a cortical neuron. The cortical neuron provides perhaps the simplest and most insightful example of a thermodynamic computer possible. It can be seen as a basic building block for constructing more intelligent thermodynamic circuits.

  16. Electrophysiological indices of interference resolution covary with individual fluid intelligence: investigating reactive control processes in a 3-back working memory task.

    Science.gov (United States)

    Perfetti, Bernardo; Varanese, Sara; Mancino, Elisa; Mercuri, Pasqua; Tesse, Marcello; Franciotti, Raffaella; Bonanni, Laura; Thomas, Astrid; Onofrj, Marco

    2014-06-01

    It has been proposed that the well-established relationship between working memory (WM) and fluid intelligence (gf) is mediated by executive mechanisms underlying interference control. The latter relies upon the integrity of a frontoparietal brain network, whose activity is modulated by general cognition. In regards to the chronology of this activation, only few EEG studies investigated the topic, although none of them examined the regional interaction or the effects of individual differences in gf. The current investigation sought at extending previous research by characterizing the EEG markers (temporal activation and regional coupling) of interference control and the effects of the individual variation in gf. To this end, we recorded the EEG activity of 33 participants while performing verbal and spatial versions of a 3-back WM task. In a separate session, participants were administered with a test of fluid intelligence. Interference-inducing trials were associated with an increased negativity in the frontal scalp region occurring in two separate time windows and probably reflecting two different stages of the underlying cognitive process. In addition, we found that scalp distribution of such activity differed among individuals, being the strongest activation of the left and right frontolateral sites related to high gf level. Finally, high- and low-gf participants showed different patterns in the modulation of regional connectivity (electrodes coherence in the range of 4.5-7.5Hz) according to changes in attention load among types of trials. Our findings suggest that high-gf participants may rely upon effective engagement and modulation of attention resources to face interference. Copyright © 2014 Elsevier Inc. All rights reserved.

  17. Nuclear Plant Inspection

    Science.gov (United States)

    1983-01-01

    Engineers from the Power Authority of the State of New York use a Crack Growth Analysis Program supplied by COSMIC (Computer Software Management and Information Center) in one stage of nuclear plant inspection. Welds of the nuclear steam supply system are checked for cracks; radiographs, dye penetration and visual inspections are performed to locate cracks in the metal structure and welds. The software package includes three separate crack growth analysis models and enables necessary repairs to be planned before serious problems develop.

  18. Intelligent instrumentation principles and applications

    CERN Document Server

    Bhuyan, Manabendra

    2011-01-01

    With the advent of microprocessors and digital-processing technologies as catalyst, classical sensors capable of simple signal conditioning operations have evolved rapidly to take on higher and more specialized functions including validation, compensation, and classification. This new category of sensor expands the scope of incorporating intelligence into instrumentation systems, yet with such rapid changes, there has developed no universal standard for design, definition, or requirement with which to unify intelligent instrumentation. Explaining the underlying design methodologies of intelligent instrumentation, Intelligent Instrumentation: Principles and Applications provides a comprehensive and authoritative resource on the scientific foundations from which to coordinate and advance the field. Employing a textbook-like language, this book translates methodologies to more than 80 numerical examples, and provides applications in 14 case studies for a complete and working understanding of the material. Beginn...

  19. 智能搜索蜘蛛%Intelligent Search Spiders

    Institute of Scientific and Technical Information of China (English)

    武海燕; 甘利人

    2001-01-01

    The search mechanism and the search process of the intelligent search spiders developed by the University of Arizona, which include Competitive Intelligence (CI) Spider, Meta Spider and Cancer Spider, are introduced. The characteristics of these spiders are summarized.

  20. An independent confirmatory factor analysis of the Wechsler Intelligence Scale for Children-fourth Edition (WISC-IV) integrated: what do the process approach subtests measure?

    Science.gov (United States)

    Benson, Nicholas; Hulac, David M; Bernstein, Joshua D

    2013-09-01

    The Wechsler intelligence scale for children--fourth edition (WISC-IV) Integrated contains the WISC-IV core and supplemental subtests along with process approach subtests designed to facilitate a process-oriented approach to score interpretation. The purpose of this study was to examine the extent to which WISC-IV Integrated subtests measure the constructs they are purported to measure. In addition to examining the measurement and scoring model provided in the manual, this study also tested hypotheses regarding Cattell-Horn-Carroll abilities that might be measured along with other substantive questions regarding the factor structure of the WISC-IV Integrated and the nature of abilities measured by process approach subtests. Results provide insight regarding the constructs measured by these subtests. Many subtests appear to be good to excellent measures of psychometric g (i.e., the general factor presumed to cause the positive correlation of mental tasks). Other abilities measured by subtests are described. For some subtests, the majority of variance is not accounted for by theoretical constructs included in the scoring model. Modifications made to remove demands such as memory recall and verbal expression were found to reduce construct-irrelevant variance. The WISC-IV Integrated subtests appear to measure similar constructs across ages 6-16, although strict factorial invariance was not supported.