Science.gov

Sample records for intelligent completions applications

  1. DOWNHOLE POWER GENERATION AND WIRELESS COMMUNICATIONS FOR INTELLIGENT COMPLETIONS APPLICATIONS

    SciTech Connect

    Paul Tubel

    2003-10-14

    The fourth quarter of the project was dedicated to the manufacturing of the mechanical system for wireless communications and the power generation module and inspection pre assembly of the mechanical components. Another emphasis for the quarter was the development of filter control and signal detection software. The tasks accomplished during this report period were: (1) Dimensional issues were resolved and revised drawings for manufacturing of the wireless communications gauge and power generator were completed and sent to a machine shop for manufacturing. (2) Finalized the requirements and fittings and connections for testing the tool in the Halliburton flow loop. (3) The new acoustic generator was manufactured successfully and it was delivered during this quarter. The assembly will be outsourced for plastic coating in preparation for hostile environment use. (4) The acoustic two-way communications development continued to progress. The real time firmware for the surface system was developed and the processor was able to detect and process the data frame transmitted from downhole. The analog section of the tool was also developed and it is being tested for filtering capabilities and signal detection and amplification. (5) The new transformer to drive the acoustic generator assembly was manufactured and was successfully tested. Spring mandrel design showed increased acoustic output on the pipe and was implemented. (6) PCBA board carrier with board set was tested for function and fit and is 100% complete. (7) Filter control software is complete and software to allow modification of communication parameters dynamically is 50% complete. (8) All mechanical parts to assemble the wireless gauge and power generator have been received and verified to be within specification. (9) Acoustic generator has been assembled in the tool mandrel and tested successfully. (10) The circuit required to harvest the power generated downhole has been designed and the power generator

  2. DOWNHOLE POWER GENERATION AND WIRELESS COMMUNICATIONS FOR INTELLIGENT COMPLETIONS APPLICATIONS

    SciTech Connect

    Paul Tubel

    2005-05-08

    The development work during this quarter was focused in the test of the wireless gauge in a well. The tool was sent to Halliburton for a test. The company indicated that the test well was not available for 4 months and the company was not able to schedule a test of the wireless gauge in its test well. The tool was returned to Tubel Tech's facility in The Woodlands. Tubel Tech is looking for a new test well to deploy the wireless gauge to complete the requirements for the DOE.

  3. Artificial intelligence: Principles and applications

    SciTech Connect

    Yazdami, M.

    1985-01-01

    The book covers the principles of AI, the main areas of application, as well as considering some of the social implications. The applications chapters have a common format structured as follows: definition of the topic; approach with conventional computing techniques; why 'intelligence' would provide a better approach; and how AI techniques would be used and the limitations. The contents discussed are: Principles of artificial intelligence; AI programming environments; LISP, list processing and pattern-making; AI programming with POP-11; Computer processing of natural language; Speech synthesis and recognition; Computer vision; Artificial intelligence and robotics; The anatomy of expert systems - Forsyth; Machine learning; Memory models of man and machine; Artificial intelligence and cognitive psychology; Breaking out of the chinese room; Social implications of artificial intelligence; and Index.

  4. Artificial intelligence: Principles and applications

    SciTech Connect

    Yazdani, M.

    1986-01-01

    Following the Japanese announcement that they intend to devise, make, and market, in the 1990s, computers incorporating a level of intelligence, a vast amount of energy and expense has been diverted at the field of Artificial Intelligence. Workers for the past 25 years in this discipline have tried to reproduce human behavior on computers and this book presents their achievements and the problems. Subjects include: computer vision, speech processing, robotics, natural language processing expert systems and machine learning. The book also attempts to show the general principles behind the various applications and finally attempts to show their implications for other human endeavors such as philosophy, psychology, and the development of modern society.

  5. Innovative applications of artificial intelligence

    SciTech Connect

    Schorr, H.; Rappaport, A.

    1989-01-01

    Papers concerning applications of artificial intelligence are presented, covering applications in aerospace technology, banking and finance, biotechnology, emergency services, law, media planning, music, the military, operations management, personnel management, retail packaging, and manufacturing assembly and design. Specific topics include Space Shuttle telemetry monitoring, an intelligent training system for Space Shuttle flight controllers, an expert system for the diagnostics of manufacturing equipment, a logistics management system, a cooling systems design assistant, and a knowledge-based integrated circuit design critic. Additional topics include a hydraulic circuit design assistant, the use of a connector assembly specification expert system to harness detailed assembly process knowledge, a mixed initiative approach to airlift planning, naval battle management decision aids, an inventory simulation tool, a peptide synthesis expert system, and a system for planning the discharging and loading of container ships.

  6. Innovative applications of artificial intelligence

    NASA Astrophysics Data System (ADS)

    Schorr, Herbert; Rappaport, Alain

    Papers concerning applications of artificial intelligence are presented, covering applications in aerospace technology, banking and finance, biotechnology, emergency services, law, media planning, music, the military, operations management, personnel management, retail packaging, and manufacturing assembly and design. Specific topics include Space Shuttle telemetry monitoring, an intelligent training system for Space Shuttle flight controllers, an expert system for the diagnostics of manufacturing equipment, a logistics management system, a cooling systems design assistant, and a knowledge-based integrated circuit design critic. Additional topics include a hydraulic circuit design assistant, the use of a connector assembly specification expert system to harness detailed assembly process knowledge, a mixed initiative approach to airlift planning, naval battle management decision aids, an inventory simulation tool, a peptide synthesis expert system, and a system for planning the discharging and loading of container ships.

  7. Research and applications: Artificial intelligence

    NASA Technical Reports Server (NTRS)

    Raphael, B.; Duda, R. O.; Fikes, R. E.; Hart, P. E.; Nilsson, N. J.; Thorndyke, P. W.; Wilber, B. M.

    1971-01-01

    Research in the field of artificial intelligence is discussed. The focus of recent work has been the design, implementation, and integration of a completely new system for the control of a robot that plans, learns, and carries out tasks autonomously in a real laboratory environment. The computer implementation of low-level and intermediate-level actions; routines for automated vision; and the planning, generalization, and execution mechanisms are reported. A scenario that demonstrates the approximate capabilities of the current version of the entire robot system is presented.

  8. Artifical intelligence: Concepts, techniques, and applications

    SciTech Connect

    Shira, Y.; Tsujii, F.R.D.

    1985-01-01

    This book examines the fundamental concepts and various techniques involved in real-world applications of artifical intelligence, such as computer representation of problems, searching and inference mechanisms, intelligent languages, and computer representation and utilization of knowledge. It explores applications in theorem-proving, games, robotics, natural language processing, knowledge engineering, and more.

  9. Research and applications: Artificial intelligence

    NASA Technical Reports Server (NTRS)

    Raphael, B.; Fikes, R. E.; Chaitin, L. J.; Hart, P. E.; Duda, R. O.; Nilsson, N. J.

    1971-01-01

    A program of research in the field of artificial intelligence is presented. The research areas discussed include automatic theorem proving, representations of real-world environments, problem-solving methods, the design of a programming system for problem-solving research, techniques for general scene analysis based upon television data, and the problems of assembling an integrated robot system. Major accomplishments include the development of a new problem-solving system that uses both formal logical inference and informal heuristic methods, the development of a method of automatic learning by generalization, and the design of the overall structure of a new complete robot system. Eight appendices to the report contain extensive technical details of the work described.

  10. Instructional Applications of Artificial Intelligence.

    ERIC Educational Resources Information Center

    Halff, Henry M.

    1986-01-01

    Surveys artificial intelligence and the development of computer-based tutors and speculates on the future of artificial intelligence in education. Includes discussion of the definitions of knowledge, expert systems (computer systems that solve tough technical problems), intelligent tutoring systems (ITS), and specific ITSs such as GUIDON, MYCIN,…

  11. Artificial Intelligence Applications for Education: Promise, ...Promises.

    ERIC Educational Resources Information Center

    Adams, Dennis M.; Hamm, Mary

    1988-01-01

    Surveys the current status of artificial intelligence (AI) technology. Discusses intelligent tutoring systems, robotics, and applications for educators. Likens the status of AI at present to that of aviation in the very early 1900s. States that educators need to be involved in future debates concerning AI. (CW)

  12. Intelligent tutoring systems for space applications

    NASA Technical Reports Server (NTRS)

    Luckhardt-Redfield, Carol A.

    1990-01-01

    Artificial Intelligence has been used in many space applications. Intelligent tutoring systems (ITSs) have only recently been developed for assisting training of space operations and skills. An ITS at Southwest Research Institute is described as an example of an ITS application for space operations, specifically, training console operations at mission control. A distinction is made between critical skills and knowledge versus routine skills. Other ITSs for space are also discussed and future training requirements and potential ITS solutions are described.

  13. Training Applications of Artificial Intelligence.

    DTIC Science & Technology

    1987-03-23

    nearifest tLer,sclvCs in ELO r operatii.L costs in the life C’VclE Of the ef’uijjteft. E F re\\ lously rcntione6 ey~ arrle of usingF the 1lirefineer...Ibid., p. 35. 4. Avron Barr and Edward Feigenbaum, The Handbook of Artificial Intelligence, Vol. 1, p. 2. 5. Wissam W. Ahmed, "Theories of Artificial...Barr, Avron and Geigenbaum, Edward A. ed. The Handbook of Arti- ficial Intelligence. Vol. 1. Stanford: heuristech Press. 1981. Gevartner, William B

  14. Applications of artificial intelligence III

    SciTech Connect

    Gilmore, J.F.

    1986-01-01

    This book presents the papers given at a conference on expert systems and artificial intelligence. Topics considered at the conference included an expert system for computer performance management, real-time image understanding, knowledge-based systems, textured image segmentation, knowledge representation, pattern recognition, robotics, and the computer-aided design of integrated circuits.

  15. 14 CFR 413.13 - Complete application.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 14 Aeronautics and Space 4 2013-01-01 2013-01-01 false Complete application. 413.13 Section 413.13 Aeronautics and Space COMMERCIAL SPACE TRANSPORTATION, FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION LICENSING LICENSE APPLICATION PROCEDURES § 413.13 Complete application. The FAA's acceptance of...

  16. 14 CFR 413.13 - Complete application.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 14 Aeronautics and Space 4 2011-01-01 2011-01-01 false Complete application. 413.13 Section 413.13 Aeronautics and Space COMMERCIAL SPACE TRANSPORTATION, FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION LICENSING LICENSE APPLICATION PROCEDURES § 413.13 Complete application. The FAA's acceptance of...

  17. 14 CFR 413.13 - Complete application.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 14 Aeronautics and Space 4 2012-01-01 2012-01-01 false Complete application. 413.13 Section 413.13 Aeronautics and Space COMMERCIAL SPACE TRANSPORTATION, FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION LICENSING LICENSE APPLICATION PROCEDURES § 413.13 Complete application. The FAA's acceptance of...

  18. 14 CFR 413.13 - Complete application.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 14 Aeronautics and Space 4 2014-01-01 2014-01-01 false Complete application. 413.13 Section 413.13 Aeronautics and Space COMMERCIAL SPACE TRANSPORTATION, FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION LICENSING LICENSE APPLICATION PROCEDURES § 413.13 Complete application. The FAA's acceptance of...

  19. Applications of artificial intelligence to scientific research

    NASA Technical Reports Server (NTRS)

    Prince, Mary Ellen

    1986-01-01

    Artificial intelligence (AI) is a growing field which is just beginning to make an impact on disciplines other than computer science. While a number of military and commercial applications were undertaken in recent years, few attempts were made to apply AI techniques to basic scientific research. There is no inherent reason for the discrepancy. The characteristics of the problem, rather than its domain, determines whether or not it is suitable for an AI approach. Expert system, intelligent tutoring systems, and learning programs are examples of theoretical topics which can be applied to certain areas of scientific research. Further research and experimentation should eventurally make it possible for computers to act as intelligent assistants to scientists.

  20. Applications of artificial intelligence/robotics

    SciTech Connect

    Brown, D.R.; Fowler, D.V.; Park, W.T.; Robinson, A.E.

    1982-01-01

    One hundred applications of artificial intelligence technology and robotics in army combat and combat support that may be possible and worthwhile are identified. These possible applications have been divided into ten categories, and one example in each category has been examined in detail. Research and development plans have been developed showing the basic and applied research that would be needed to make the applications possible. Although the number of possible applications is large, the number of key technology elements is relatively small, and many of the same technology elements are required in many different applications. 19 references.

  1. Artificial intelligence applications in the nuclear industry

    SciTech Connect

    Majumdar, D.

    1988-10-01

    This is a state-of-the-art review of artificial intelligence (AI) applications in the nuclear industry. It was initiated as a result of the American Nuclear Society-sponsored conference on ''Artificial Intelligence and Other Innovative Computer Applications in the Nuclear Industry,'' held in Snowbird, Utah, August 1987. This conference brought together a large number of international experts and showed extensive worldwide applications of expert systems in the nuclear industry. This document is a postconference review and a reflection on the current status and the future of AI in the nuclear industry. Because artificial intelligence techniques can analyze large and complex arrays of information, develop smaller sets of higher-level conclusions, incorporate human expertise, and present information suitable for human intelligence, it is very appropriate for applications in complex nuclear power plant operation. Some advances have already been made in several areas. However, among the many applications in the nuclear industry, there does not appear to be any outstanding application to date such as the ones found in the medical or geological fields. What comes out clearly is that the nuclear industry is experimenting in many areas with the expert system technology and determining its usefulness for the industry. On the international scene, the United States is the current leader in knowledge and applications, followed by Japan and France. However, the Japanese appear to have embraced the AI concept more wholeheartedly. This review encompasses a large number of areas including fault diagnosis, reactor control, plant operation, alarm filtering, accident management, robotics, probabilistic risk assessment, and the human element of expert systems. The potential for useful application of AI technology in the nuclear industry is shown to be promising. 383 refs., 13 figs., 11 tabs.

  2. ODESA: an intelligent unexploded ordnance detection application

    NASA Astrophysics Data System (ADS)

    Vennergrund, David A.; Watson, William

    1995-06-01

    This paper describes the Ordnance Detection Expert Support Application (ODESA). ODESA is an intelligent unexploded ordance (UXO) detection application that fuses data from a variety of single sensor detection systems to detect buried objects. The ODESA application implements two intelligent data fusion techniques, trained using reports of targets from detection systems and ground truth describing the exact location and type of emplaced UXO. One fusion method uses a genetic algortihm to generate rules and weights that predict the location and identity of buried objects. The other fusion method uses heuristics and conditional probabilities to predict the location of buried objects. Initial findings prove that both methods produce target reports that more accurately detect buried objects than any single detection system.

  3. The Application of Artificial Intelligence to Contract Management.

    DTIC Science & Technology

    1984-08-01

    INTELLIGENCE 2.1 Definition of Artificial Intelligence. .. .. ... .... 7 2.2 History of Artificial Intelligence. .. .. .. ... .... 8 V2.3 Approaches to...Ig d. not by nuebtb hua aror fot.Itelligence hoeeiOoNoesl eie ineteeeit opeieciei 8 2.2 History of Artificial Intelligence Al is a very young field...down into individual components but must be evaluated as a complete sentence. Some examples of propositions are: the truck has four wheels, the poodle

  4. Application of artificial intelligence to robotic vision

    SciTech Connect

    Chao, P.S.; Frick, P.A.

    1983-01-01

    A brief introduction to artificial intelligence (AI) and the general vision process is provided. Two samples of AI researchers' work toward general computer vision are given. The first is a model-based vision system while the second is based on results of studies on human vision. The current state of machine vision in industrial robotics is demonstrated using a well known vision algorithm developed at SRI International. A part of a prototype robotic assembly project with vision is sketched to show the application of some AI tools to practical work. 8 references.

  5. Intelligent imaging systems for automotive applications

    NASA Astrophysics Data System (ADS)

    Thompson, Chris; Huang, Yingping; Fu, Shan

    2004-03-01

    In common with many other application areas, visual signals are becoming an increasingly important information source for many automotive applications. For several years CCD cameras have been used as research tools for a range of automotive applications. Infrared cameras, RADAR and LIDAR are other types of imaging sensors that have also been widely investigated for use in cars. This paper will describe work in this field performed in C2VIP over the last decade - starting with Night Vision Systems and looking at various other Advanced Driver Assistance Systems. Emerging from this experience, we make the following observations which are crucial for "intelligent" imaging systems: 1. Careful arrangement of sensor array. 2. Dynamic-Self-Calibration. 3. Networking and processing. 4. Fusion with other imaging sensors, both at the image level and the feature level, provides much more flexibility and reliability in complex situations. We will discuss how these problems can be addressed and what are the outstanding issues.

  6. Smart Aerospace eCommerce: Using Intelligent Agents in a NASA Mission Services Ordering Application

    NASA Technical Reports Server (NTRS)

    Moleski, Walt; Luczak, Ed; Morris, Kim; Clayton, Bill; Scherf, Patricia; Obenschain, Arthur F. (Technical Monitor)

    2002-01-01

    This paper describes how intelligent agent technology was successfully prototyped and then deployed in a smart eCommerce application for NASA. An intelligent software agent called the Intelligent Service Validation Agent (ISVA) was added to an existing web-based ordering application to validate complex orders for spacecraft mission services. This integration of intelligent agent technology with conventional web technology satisfies an immediate NASA need to reduce manual order processing costs. The ISVA agent checks orders for completeness, consistency, and correctness, and notifies users of detected problems. ISVA uses NASA business rules and a knowledge base of NASA services, and is implemented using the Java Expert System Shell (Jess), a fast rule-based inference engine. The paper discusses the design of the agent and knowledge base, and the prototyping and deployment approach. It also discusses future directions and other applications, and discusses lessons-learned that may help other projects make their aerospace eCommerce applications smarter.

  7. The 1990 Goddard Conference on Space Applications of Artificial Intelligence

    NASA Technical Reports Server (NTRS)

    Rash, James L. (Editor)

    1990-01-01

    The papers presented at the 1990 Goddard Conference on Space Applications of Artificial Intelligence are given. The purpose of this annual conference is to provide a forum in which current research and development directed at space applications of artificial intelligence can be presented and discussed. The proceedings fall into the following areas: Planning and Scheduling, Fault Monitoring/Diagnosis, Image Processing and Machine Vision, Robotics/Intelligent Control, Development Methodologies, Information Management, and Knowledge Acquisition.

  8. Intelligent agents for e-commerce applications

    NASA Astrophysics Data System (ADS)

    Vuppala, Krishna

    1999-12-01

    This thesis focuses on development of intelligent agent solutions for e-commerce applications. E-Commerce has several complexities like: lack of information about the players, learning the nature of one's business partners/competitors, finding the right business partner to do business with, using the right strategy to get best profit out of the negotiations etc. The agent models developed can be used in any agent solution for e-commerce. Concepts and techniques from Game Theory and Artificial Intelligence are used. The developed models have several advantages over the existing ones as: the models assume the non-availability of information about other players in the market, the models of players get updated over the time as and when new information comes about the players, the negotiation model incorporates the patience levels of the players and expectations from other players in the market. Power industry has been chosen as the application area for the demonstration of the capabilities and usage of the developed agent models. Two e-commerce scenarios where sellers and buyers can go through the power exchanges to bid in auctions, or make bilateral deals outside of the exchange are addressed. In the first scenario agent helps market participants in coordinating strategies with other participants, bidding in auctions by analyzing and understanding the behavior of other participants. In the second scenario, called "Power Traders Assistant" agent helps power trader, who buys and sells power through bilateral negotiations, in negotiating deals with his customers.

  9. 7 CFR 1290.6 - Completed application.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 10 2011-01-01 2011-01-01 false Completed application. 1290.6 Section 1290.6 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (MARKETING AGREEMENTS AND ORDERS; MISCELLANEOUS COMMODITIES), DEPARTMENT OF AGRICULTURE SPECIALTY CROP BLOCK...

  10. The 1993 Goddard Conference on Space Applications of Artificial Intelligence

    NASA Technical Reports Server (NTRS)

    Hostetter, Carl F. (Editor)

    1993-01-01

    This publication comprises the papers presented at the 1993 Goddard Conference on Space Applications of Artificial Intelligence held at the NASA/Goddard Space Flight Center, Greenbelt, MD on May 10-13, 1993. The purpose of this annual conference is to provide a forum in which current research and development directed at space applications of artificial intelligence can be presented and discussed.

  11. The application of intelligent process control to space based systems

    NASA Technical Reports Server (NTRS)

    Wakefield, G. Steve

    1990-01-01

    The application of Artificial Intelligence to electronic and process control can help attain the autonomy and safety requirements of manned space systems. An overview of documented applications within various industries is presented. The development process is discussed along with associated issues for implementing an intelligence process control system.

  12. The 1994 Goddard Conference on Space Applications of Artificial Intelligence

    NASA Technical Reports Server (NTRS)

    Hostetter, Carl F. (Editor)

    1994-01-01

    This publication comprises the papers presented at the 1994 Goddard Conference on Space Applications of Artificial Intelligence held at the NASA/GSFC, Greenbelt, Maryland, on 10-12 May 1994. The purpose of this annual conference is to provide a forum in which current research and development directed at space applications of artificial intelligence can be presented and discussed.

  13. Third Conference on Artificial Intelligence for Space Applications, part 2

    NASA Technical Reports Server (NTRS)

    Denton, Judith S. (Compiler); Freeman, Michael S. (Compiler); Vereen, Mary (Compiler)

    1988-01-01

    Topics relative to the application of artificial intelligence to space operations are discussed. New technologies for space station automation, design data capture, computer vision, neural nets, automatic programming, and real time applications are discussed.

  14. Artificial intelligence: contemporary applications and future compass.

    PubMed

    Khanna, Sunali

    2010-08-01

    The clinical use of information technology in the dental profession has increased substantially in the past 10 to 20 years. In most developing countries an insufficiency of medical and dental specialists has increased the mortality of patients suffering from various diseases. Employing technology, especially artificial intelligence technology, in medical and dental application could reduce cost, time, human expertise and medical error. This approach has the potential to revolutionise the dental public health scenario in developing countries. Clinical decision support systems (CDSS) are computer programs that are designed to provide expert support for health professionals. The applications in dental sciences vary from dental emergencies to differential diagnosis of orofacial pain, radiographic interpretations, analysis of facial growth in orthodontia to prosthetic dentistry. However, despite the recognised need for CDSS, the implementation of these systems has been limited and slow. This can be attributed to lack of formal evaluation of the systems, challenges in developing standard representations, cost and practitioner scepticism about the value and feasibility of CDSS. Increasing public awareness of safety and quality has accelerated the adoption of generic knowledge based CDSS. Information technology applications for dental practice continue to develop rapidly and will hopefully contribute to reduce the morbidity and mortality of oral and maxillofacial diseases and in turn impact patient care.

  15. The Application of Intelligent Agents in Libraries: A Survey

    ERIC Educational Resources Information Center

    Liu, Guoying

    2011-01-01

    Purpose: The purpose of this article is to provide a comprehensive literature review on the utilisation of intelligent agent technology in the library environment. Design/methodology/approach: Research papers since 1990 on the use of various intelligent agent technologies in libraries are divided into two main application areas: digital library…

  16. Artificial Intelligence/Robotics Applications to Navy Aircraft Maintenance.

    DTIC Science & Technology

    1984-06-01

    AD-A143 219 ARTIFICIAL INTELLIGENCE/ROBOTICS APPLICATIONS TO NAVV T7T AIRCRAFT HAINTENANCE(U) SRI INTERNATIONAL HENLO PARK CA D R BROWN ET AL...34^! * -.’.-. v.’: ;- • ’_*-••.-. - - m i i • i >«••»......» i 0> CO < Final Report ARTIFICIAL INTELLIGENCE/ROBOTICS APPLICATIONS TO NAVY...8217• . . i * • ’ * ’ ** ’.- *_» "-_ _* _- _• -J> . „• „ (ss3 QB e 25 f//w/ Report ARTIFICIAL INTELLIGENCE/ROBOTICS APPLICATIONS TO NAVY

  17. Third Conference on Artificial Intelligence for Space Applications, part 1

    NASA Technical Reports Server (NTRS)

    Denton, Judith S. (Compiler); Freeman, Michael S. (Compiler); Vereen, Mary (Compiler)

    1987-01-01

    The application of artificial intelligence to spacecraft and aerospace systems is discussed. Expert systems, robotics, space station automation, fault diagnostics, parallel processing, knowledge representation, scheduling, man-machine interfaces and neural nets are among the topics discussed.

  18. Process Orchestration With Modular Software Applications On Intelligent Field Devices

    NASA Astrophysics Data System (ADS)

    Orfgen, Marius; Schmitt, Mathias

    2015-07-01

    The method developed by the DFKI-IFS for extending the functionality of intelligent field devices through the use of reloadable software applications (so-called Apps) is to be further augmented with a methodology and communication concept for process orchestration. The concept allows individual Apps from different manufacturers to decentrally share information. This way of communicating forms the basis for the dynamic orchestration of Apps to complete processes, in that it allows the actions of one App (e.g. detecting a component part with a sensor App) to trigger reactions in other Apps (e.g. triggering the processing of that component part). A holistic methodology and its implementation as a configuration tool allows one to model the information flow between Apps, as well as automatically introduce it into physical production hardware via available interfaces provided by the Field Device Middleware. Consequently, configuring industrial facilities is made simpler, resulting in shorter changeover and shutdown times.

  19. Application of Artificial Intelligence Techniques in Uninhabited Aerial Vehicle Flight

    NASA Technical Reports Server (NTRS)

    Dufrene, Warren R., Jr.

    2004-01-01

    This paper describes the development of an application of Artificial Intelligence (AI) for Unmanned Aerial Vehicle (UAV) control. The project was done as part of the requirements for a class in AI at NOVA Southeastearn University and a beginning project at NASA Wallops Flight Facility for a resilient, robust, and intelligent UAV flight control system. A method is outlined which allows a base level application for applying an Artificial Intelligence method, Fuzzy Logic, to aspects of Control Logic for UAV flight. One element of UAV flight, automated altitude hold, has been implemented and preliminary results displayed.

  20. Application of Artificial Intelligence Techniques in Uninhabitated Aerial Vehicle Flight

    NASA Technical Reports Server (NTRS)

    Dufrene, Warren R., Jr.

    2003-01-01

    This paper describes the development of an application of Artificial Intelligence (AI) for Unmanned Aerial Vehicle (UAV) control. The project was done as part of the requirements for a class in AI at NOVA southeastern University and a beginning project at NASA Wallops Flight Facility for a resilient, robust, and intelligent UAV flight control system. A method is outlined which allows a base level application for applying an Artificial Intelligence method, Fuzzy Logic, to aspects of Control Logic for UAV flight. One element of UAV flight, automated altitude hold, has been implemented and preliminary results displayed.

  1. Fifth Conference on Artificial Intelligence for Space Applications

    NASA Technical Reports Server (NTRS)

    Odell, Steve L. (Compiler)

    1990-01-01

    The Fifth Conference on Artificial Intelligence for Space Applications brings together diverse technical and scientific work in order to help those who employ AI methods in space applications to identify common goals and to address issues of general interest in the AI community. Topics include the following: automation for Space Station; intelligent control, testing, and fault diagnosis; robotics and vision; planning and scheduling; simulation, modeling, and tutoring; development tools and automatic programming; knowledge representation and acquisition; and knowledge base/data base integration.

  2. Applications of artificial intelligence to mission planning

    NASA Technical Reports Server (NTRS)

    Ford, Donnie R.; Rogers, John S.; Floyd, Stephen A.

    1990-01-01

    The scheduling problem facing NASA-Marshall mission planning is extremely difficult for several reasons. The most critical factor is the computational complexity involved in developing a schedule. The size of the search space is large along some dimensions and infinite along others. It is because of this and other difficulties that many of the conventional operation research techniques are not feasible or inadequate to solve the problems by themselves. Therefore, the purpose is to examine various artificial intelligence (AI) techniques to assist conventional techniques or to replace them. The specific tasks performed were as follows: (1) to identify mission planning applications for object oriented and rule based programming; (2) to investigate interfacing AI dedicated hardware (Lisp machines) to VAX hardware; (3) to demonstrate how Lisp may be called from within FORTRAN programs; (4) to investigate and report on programming techniques used in some commercial AI shells, such as Knowledge Engineering Environment (KEE); and (5) to study and report on algorithmic methods to reduce complexity as related to AI techniques.

  3. On the Relevance of Intelligence: Applications for Classrooms? Intelligence Testing: The Good, the Bad and the Ugly.

    ERIC Educational Resources Information Center

    Law, Nancy

    The relevance of intelligence testing for schools within one district, the Sacramento (California) school district and the state of California is explored, and applications of intelligence theory in district schools and classrooms are discussed. Intelligence, for purposes of this discussion, is the aggregate capacity of each student's…

  4. Application Of Artificial Intelligence To Wind Tunnels

    NASA Technical Reports Server (NTRS)

    Lo, Ching F.; Steinle, Frank W., Jr.

    1989-01-01

    Report discusses potential use of artificial-intelligence systems to manage wind-tunnel test facilities at Ames Research Center. One of goals of program to obtain experimental data of better quality and otherwise generally increase productivity of facilities. Another goal to increase efficiency and expertise of current personnel and to retain expertise of former personnel. Third goal to increase effectiveness of management through more efficient use of accumulated data. System used to improve schedules of operation and maintenance of tunnels and other equipment, assignment of personnel, distribution of electrical power, and analysis of costs and productivity. Several commercial artificial-intelligence computer programs discussed as possible candidates for use.

  5. Swarm Intelligence Optimization and Its Applications

    NASA Astrophysics Data System (ADS)

    Ding, Caichang; Lu, Lu; Liu, Yuanchao; Peng, Wenxiu

    Swarm Intelligence is a computational and behavioral metaphor for solving distributed problems inspired from biological examples provided by social insects such as ants, termites, bees, and wasps and by swarm, herd, flock, and shoal phenomena in vertebrates such as fish shoals and bird flocks. An example of successful research direction in Swarm Intelligence is ant colony optimization (ACO), which focuses on combinatorial optimization problems. Ant algorithms can be viewed as multi-agent systems (ant colony), where agents (individual ants) solve required tasks through cooperation in the same way that ants create complex social behavior from the combined efforts of individuals.

  6. Matrix Completion Optimization for Localization in Wireless Sensor Networks for Intelligent IoT

    PubMed Central

    Nguyen, Thu L. N.; Shin, Yoan

    2016-01-01

    Localization in wireless sensor networks (WSNs) is one of the primary functions of the intelligent Internet of Things (IoT) that offers automatically discoverable services, while the localization accuracy is a key issue to evaluate the quality of those services. In this paper, we develop a framework to solve the Euclidean distance matrix completion problem, which is an important technical problem for distance-based localization in WSNs. The sensor network localization problem is described as a low-rank dimensional Euclidean distance completion problem with known nodes. The task is to find the sensor locations through recovery of missing entries of a squared distance matrix when the dimension of the data is small compared to the number of data points. We solve a relaxation optimization problem using a modification of Newton’s method, where the cost function depends on the squared distance matrix. The solution obtained in our scheme achieves a lower complexity and can perform better if we use it as an initial guess for an interactive local search of other higher precision localization scheme. Simulation results show the effectiveness of our approach. PMID:27213378

  7. Matrix Completion Optimization for Localization in Wireless Sensor Networks for Intelligent IoT.

    PubMed

    Nguyen, Thu L N; Shin, Yoan

    2016-05-18

    Localization in wireless sensor networks (WSNs) is one of the primary functions of the intelligent Internet of Things (IoT) that offers automatically discoverable services, while the localization accuracy is a key issue to evaluate the quality of those services. In this paper, we develop a framework to solve the Euclidean distance matrix completion problem, which is an important technical problem for distance-based localization in WSNs. The sensor network localization problem is described as a low-rank dimensional Euclidean distance completion problem with known nodes. The task is to find the sensor locations through recovery of missing entries of a squared distance matrix when the dimension of the data is small compared to the number of data points. We solve a relaxation optimization problem using a modification of Newton's method, where the cost function depends on the squared distance matrix. The solution obtained in our scheme achieves a lower complexity and can perform better if we use it as an initial guess for an interactive local search of other higher precision localization scheme. Simulation results show the effectiveness of our approach.

  8. A review of European applications of artificial intelligence to space

    NASA Technical Reports Server (NTRS)

    Drummond, Mark (Editor); Stewart, Helen (Editor)

    1993-01-01

    The purpose is to describe the applications of Artificial Intelligence (AI) to the European Space program that are being developed or have been developed. The results of a study sponsored by the Artificial Intelligence Research and Development program of NASA's Office of Advanced Concepts and Technology (OACT) are described. The report is divided into two sections. The first consists of site reports, which are descriptions of the AI applications seen at each place visited. The second section consists of two summaries which synthesize the information in the site reports by organizing this information in two different ways. The first organizes the material in terms of the type of application, e.g., data analysis, planning and scheduling, and procedure management. The second organizes the material in terms of the component technologies of Artificial Intelligence which the applications used, e.g., knowledge based systems, model based reasoning, procedural reasoning, etc.

  9. Application of intelligent systems to wind tunnel test facilities

    NASA Technical Reports Server (NTRS)

    Lo, Ching F.; Steinle, Frank W., Jr.

    1988-01-01

    An approach to the application of intelligent-systems technology to the wind tunnel facilities at NASA Ames Research Center is outlined. To help fulfill the long-range goals of improving data quality and increasing personnel efficiency and management effectiveness, three major areas of intelligent systems application are recommended. The available state-of-the-art technology for developing the proposed systems is reviewed including the application of commercial software packages. The initial tasks and effort to develop these systems are recommended. A prototype expert system for selection of internal strain-gage balances has been built and is presented herein as an example model for the future systems.

  10. Intelligent Control Approaches for Aircraft Applications

    NASA Technical Reports Server (NTRS)

    Gundy-Burlet, Karen; KrishnaKumar, K.; Soloway, Don; Kaneshige, John; Clancy, Daniel (Technical Monitor)

    2001-01-01

    This paper presents an overview of various intelligent control technologies currently being developed and studied under the Intelligent Flight Control (IFC) program at the NASA Ames Research Center. The main objective of the intelligent flight control program is to develop the next generation of flight controllers for the purpose of automatically compensating for a broad spectrum of damaged or malfunctioning aircraft components and to reduce control law development cost and time. The approaches being examined include: (a) direct adaptive dynamic inverse controller and (b) an adaptive critic-based dynamic inverse controller. These approaches can utilize, but do not require, fault detection and isolation information. Piloted simulation studies are performed to examine if the intelligent flight control techniques adequately: 1) Match flying qualities of modern fly-by-wire flight controllers under nominal conditions; 2) Improve performance under failure conditions when sufficient control authority is available; and 3) Achieve consistent handling qualities across the flight envelope and for different aircraft configurations. Results obtained so far demonstrate the potential for improving handling qualities and significantly increasing survivability rates under various simulated failure conditions.

  11. Intelligent battlespace awareness and information dissemination through the application of BDI intelligent agent technologies

    NASA Astrophysics Data System (ADS)

    Lucas, Andrew; Ronnquist, Ralph; Howden, Nick; Gaertner, Paul S.; Haub, John

    2000-08-01

    Battlespace digitisation systems must be flexible enough to maximise the effectiveness of manoeuvre warfare against a range of possible threats. Currently, this flexibility is largely a manual process. The aim of this paper is to examine the applicability of Belief, Desire and Intention (BDI) intelligent agent technologies for use in situation awareness and information dissemination systems. This paper illustrates how intelligent software can be used: to enhance the effectiveness of battlespace digitisation systems. The BDI agent model is an event-driven execution model providing both reactive and proactive behaviour. The utility of this model is demonstrated via the agent-based Collection Plan Management System (CPMS).

  12. Second Conference on Artificial Intelligence for Space Applications

    NASA Technical Reports Server (NTRS)

    Dollman, Thomas (Compiler)

    1988-01-01

    The proceedings of the conference are presented. This second conference on Artificial Intelligence for Space Applications brings together a diversity of scientific and engineering work and is intended to provide an opportunity for those who employ AI methods in space applications to identify common goals and to discuss issues of general interest in the AI community.

  13. Collaborative Knowledge Discovery & Marshalling for Intelligence & Security Applications

    SciTech Connect

    Cowell, Andrew J.; Jensen, Russell S.; Gregory, Michelle L.; Ellis, Peter C.; Fligg, Alan K.; McGrath, Liam R.; O'Hara, Kelly A.; Bell, Eric B.

    2010-05-24

    This paper discusses the Knowledge Encapsulation Framework, a flexible, extensible evidence-marshalling environment built upon a natural language processing pipeline and exposed to users via an open-source semantic wiki. We focus our discussion on applications of the framework to intelligence and security applications, specifically, an instantiation of the KEF environment for researching illicit trafficking in nuclear materials.

  14. The 1992 Goddard Conference on Space Applications of Artificial Intelligence

    NASA Technical Reports Server (NTRS)

    Rash, James L. (Editor)

    1992-01-01

    The purpose of this conference is to provide a forum in which current research and development directed at space applications of artificial intelligence can be presented and discussed. The papers fall into the following areas: planning and scheduling, control, fault monitoring/diagnosis and recovery, information management, tools, neural networks, and miscellaneous applications.

  15. An overview of artificial intelligence and robotics. Volume 1: Artificial intelligence. Part B: Applications

    NASA Technical Reports Server (NTRS)

    Gevarter, W. B.

    1983-01-01

    Artificial Intelligence (AI) is an emerging technology that has recently attracted considerable attention. Many applications are now under development. This report, Part B of a three part report on AI, presents overviews of the key application areas: Expert Systems, Computer Vision, Natural Language Processing, Speech Interfaces, and Problem Solving and Planning. The basic approaches to such systems, the state-of-the-art, existing systems and future trends and expectations are covered.

  16. Artificial intelligence approach for spot application project system design

    NASA Astrophysics Data System (ADS)

    Lefevre, M. J.; Fisse, G.; Martin, E.; de Boissezon, H.; Galaup, M.

    1993-11-01

    Over the past four years, CNES has been engaged in a major programme focusing on the development of SPOT Operational Application Projects. With a total of sixty projects now complete, we can draw a number of meaningful conclusions and identify a number of objectives to be satisfied by advanced remote sensing methodology. One of the main conclusions points to the importance of human vision in studies on natural complex space imagery. This being so, visual recognition must be one of the main phases of the ``Pilot Project for the Application of Remote Sensing to Agricultural Statistics'': only human experts have the ability to make a meaningful analysis of Spot TM imagery. Non-expert operators will not be able to manage the subsequent rational production phase alone. The first part of this paper describes an approach to the formalization and modelling of expert know-how based on the use of artificial intelligence. The second part puts forward a cooperative operator/computer system based on a cognitive structure. Our proposal comprises 1) a specific knowledge base, 2) an ergonomic interface associated with functional software that is based on automatic image enhancement coupled with perception support functions.

  17. Coordination in Distributed Intelligent Systems Applications

    DTIC Science & Technology

    2009-12-13

    System ( SCMS ) manages the interaction of these proc- esses in order to achieve some end goals. The paper in [ 19] describes a SCMS based on the...Coordination in Distributed Intelligent Systems Appli~ations Abdeslem Boukhtouta1.4, Jean Berger’ , Ranjeev Mittu2, Abdellah Bedrouni3 1 Defence...Quebec, H3G IM8, Canada 4 Concordia University, Concordia Institute for Information Systems Engineering (CIISE), 1455 de Maison- neuve, Montreal, Quebec

  18. The 1988 Goddard Conference on Space Applications of Artificial Intelligence

    NASA Technical Reports Server (NTRS)

    Rash, James (Editor); Hughes, Peter (Editor)

    1988-01-01

    This publication comprises the papers presented at the 1988 Goddard Conference on Space Applications of Artificial Intelligence held at the NASA/Goddard Space Flight Center, Greenbelt, Maryland on May 24, 1988. The purpose of this annual conference is to provide a forum in which current research and development directed at space applications of artificial intelligence can be presented and discussed. The papers in these proceedings fall into the following areas: mission operations support, planning and scheduling; fault isolation/diagnosis; image processing and machine vision; data management; modeling and simulation; and development tools/methodologies.

  19. Exploring Emotional Intelligence, Learner Autonomy, and Retention in an Accelerated Undergraduate Degree Completion Program

    ERIC Educational Resources Information Center

    Buvoltz, Katie A.; Powell, Freda J.; Solan, Ann M.; Longbotham, Gail J.

    2008-01-01

    This article presents the results of research that explored the relationship between emotional intelligence and learner autonomy in the context of nontraditional higher education and their impact on student retention. This was predicated on previous research that suggested emotional intelligence might lead to student success and that autonomous…

  20. 7 CFR 1703.125 - Completed application.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ....123. (e) Financial information and sustainability. The applicant must provide a narrative description... Suspension; (7) Byrd Anti-Lobbying Amendment (31 U.S.C. 1352). (j) Environmental impact and historic....1. The application shall contain a separate section entitled “Environmental Impact of the...

  1. 7 CFR 1703.125 - Completed application.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ....123. (e) Financial information and sustainability. The applicant must provide a narrative description... Suspension; (7) Byrd Anti-Lobbying Amendment (31 U.S.C. 1352). (j) Environmental impact and historic....1. The application shall contain a separate section entitled “Environmental Impact of the...

  2. 7 CFR 1703.125 - Completed application.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ....123. (e) Financial information and sustainability. The applicant must provide a narrative description... Suspension; (7) Byrd Anti-Lobbying Amendment (31 U.S.C. 1352). (j) Environmental impact and historic....1. The application shall contain a separate section entitled “Environmental Impact of the...

  3. 7 CFR 1703.125 - Completed application.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ....123. (e) Financial information and sustainability. The applicant must provide a narrative description... Suspension; (7) Byrd Anti-Lobbying Amendment (31 U.S.C. 1352). (j) Environmental impact and historic....1. The application shall contain a separate section entitled “Environmental Impact of the...

  4. Intelligent hypertext systems for aerospace engineering applications

    NASA Technical Reports Server (NTRS)

    Lo, Ching F.

    1989-01-01

    This paper is a progress report on the utilization of AI technology for assisting users locating and understanding technical information in manuals used for planning and conducting wind tunnel test. The specific goal is to create an Intelligent Hypertext System (IHS) for wind tunnel testing which combines the computerized manual in the form of hypertext and an advisory system that stores experts' knowledge and experiences. A prototype IHS for conducting transonic wind tunnel testing has been constructed with limited knowledge base. The prototype is being evaluated by potential users.

  5. Robotics, Artificial Intelligence, Computer Simulation: Future Applications in Special Education.

    ERIC Educational Resources Information Center

    Moore, Gwendolyn B.; And Others

    1986-01-01

    Describes possible applications of new technologies to special education. Discusses results of a study designed to explore the use of robotics, artificial intelligence, and computer simulations to aid people with handicapping conditions. Presents several scenarios in which specific technological advances may contribute to special education…

  6. 14 CFR 413.13 - Complete application.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... public health and safety, safety of property, and national security and foreign policy interests of the United States are protected during the conduct of a licensed or permitted activity, an applicant...

  7. 7 CFR 1738.202 - Elements of a complete application.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 7 Agriculture 11 2014-01-01 2014-01-01 false Elements of a complete application. 1738.202 Section 1738.202 Agriculture Regulations of the Department of Agriculture (Continued) RURAL UTILITIES SERVICE... Underwriting § 1738.202 Elements of a complete application. An applicant must submit to the Agency a...

  8. 7 CFR 1738.202 - Elements of a complete application.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 7 Agriculture 11 2013-01-01 2013-01-01 false Elements of a complete application. 1738.202 Section 1738.202 Agriculture Regulations of the Department of Agriculture (Continued) RURAL UTILITIES SERVICE... Underwriting § 1738.202 Elements of a complete application. An applicant must submit to the Agency a...

  9. 7 CFR 1738.202 - Elements of a complete application.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 7 Agriculture 11 2012-01-01 2012-01-01 false Elements of a complete application. 1738.202 Section 1738.202 Agriculture Regulations of the Department of Agriculture (Continued) RURAL UTILITIES SERVICE... Underwriting § 1738.202 Elements of a complete application. An applicant must submit to the Agency a...

  10. 18 CFR 806.16 - Completeness of application.

    Code of Federal Regulations, 2014 CFR

    2014-04-01

    ... 18 Conservation of Power and Water Resources 2 2014-04-01 2014-04-01 false Completeness of application. 806.16 Section 806.16 Conservation of Power and Water Resources SUSQUEHANNA RIVER BASIN COMMISSION REVIEW AND APPROVAL OF PROJECTS Application Procedure § 806.16 Completeness of application....

  11. 18 CFR 806.16 - Completeness of application.

    Code of Federal Regulations, 2012 CFR

    2012-04-01

    ... 18 Conservation of Power and Water Resources 2 2012-04-01 2012-04-01 false Completeness of application. 806.16 Section 806.16 Conservation of Power and Water Resources SUSQUEHANNA RIVER BASIN COMMISSION REVIEW AND APPROVAL OF PROJECTS Application Procedure § 806.16 Completeness of application....

  12. 18 CFR 806.16 - Completeness of application.

    Code of Federal Regulations, 2013 CFR

    2013-04-01

    ... 18 Conservation of Power and Water Resources 2 2013-04-01 2012-04-01 true Completeness of application. 806.16 Section 806.16 Conservation of Power and Water Resources SUSQUEHANNA RIVER BASIN COMMISSION REVIEW AND APPROVAL OF PROJECTS Application Procedure § 806.16 Completeness of application....

  13. 7 CFR 1703.144 - Completed application.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... each end user site (city, town, village, borough, or rural area plus the State). (c) A scope of work... applicant shall purchase and own collateral that secures the loan free from liens or security interests and... consider as adequate security a loan guarantee by a telecommunications or electric borrower or by...

  14. 7 CFR 1703.144 - Completed application.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... each end user site (city, town, village, borough, or rural area plus the State). (c) A scope of work... applicant shall purchase and own collateral that secures the loan free from liens or security interests and... consider as adequate security a loan guarantee by a telecommunications or electric borrower or by...

  15. 7 CFR 1703.144 - Completed application.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... each end user site (city, town, village, borough, or rural area plus the State). (c) A scope of work... applicant shall purchase and own collateral that secures the loan free from liens or security interests and... consider as adequate security a loan guarantee by a telecommunications or electric borrower or by...

  16. 7 CFR 1703.144 - Completed application.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... each end user site (city, town, village, borough, or rural area plus the State). (c) A scope of work... applicant shall purchase and own collateral that secures the loan free from liens or security interests and... consider as adequate security a loan guarantee by a telecommunications or electric borrower or by...

  17. 7 CFR 1703.144 - Completed application.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... applicant shall purchase and own collateral that secures the loan free from liens or security interests and... terminal equipment, interactive video equipment, computer hardware and software systems, and components...) Drug-Free Workplace Act of 1998 (41 U.S.C. 701); (6) E.O.s 12549 and 12689, Debarment and...

  18. 7 CFR 1739.15 - Completed application.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... sustainability. The applicant must provide a narrative description demonstrating the sustainability of the... sustainability of the Project. (h) A statement of experience. Information on the owners' and principal employees... Precautions. (8) An environmental report, in accordance with 7 CFR 1794. (9) Certification that grant...

  19. 7 CFR 1739.15 - Completed application.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... sustainability. The applicant must provide a narrative description demonstrating the sustainability of the... sustainability of the Project. (h) A statement of experience. Information on the owners' and principal employees... Precautions. (8) An environmental report, in accordance with 7 CFR 1794. (9) Certification that grant...

  20. 7 CFR 1739.15 - Completed application.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... sustainability. The applicant must provide a narrative description demonstrating the sustainability of the... sustainability of the Project. (h) A statement of experience. Information on the owners' and principal employees... Precautions. (8) An environmental report, in accordance with 7 CFR 1794. (9) Certification that grant...

  1. 7 CFR 1739.15 - Completed application.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... sustainability. The applicant must provide a narrative description demonstrating the sustainability of the... sustainability of the Project. (h) A statement of experience. Information on the owners' and principal employees... Precautions. (8) An environmental report, in accordance with 7 CFR 1794. (9) Certification that grant...

  2. Develop feedback system for intelligent dynamic resource allocation to improve application performance.

    SciTech Connect

    Gentile, Ann C.; Brandt, James M.; Tucker, Thomas; Thompson, David

    2011-09-01

    This report provides documentation for the completion of the Sandia Level II milestone 'Develop feedback system for intelligent dynamic resource allocation to improve application performance'. This milestone demonstrates the use of a scalable data collection analysis and feedback system that enables insight into how an application is utilizing the hardware resources of a high performance computing (HPC) platform in a lightweight fashion. Further we demonstrate utilizing the same mechanisms used for transporting data for remote analysis and visualization to provide low latency run-time feedback to applications. The ultimate goal of this body of work is performance optimization in the face of the ever increasing size and complexity of HPC systems.

  3. Application of temporal LNC logic in artificial intelligence

    NASA Astrophysics Data System (ADS)

    Adamek, Marek; Mulawka, Jan

    2016-09-01

    This paper presents the temporal logic inference engine developed in our university. It is an attempt to demonstrate implementation and practical application of temporal logic LNC developed in Cardinal Stefan Wyszynski University in Warsaw.1 The paper describes the fundamentals of LNC logic, architecture and implementation of inference engine. The practical application is shown by providing the solution for popular in Artificial Intelligence problem of Missionaries and Cannibals in terms of LNC logic. Both problem formulation and inference engine are described in details.

  4. Future applications of artificial intelligence to Mission Control Centers

    NASA Technical Reports Server (NTRS)

    Friedland, Peter

    1991-01-01

    Future applications of artificial intelligence to Mission Control Centers are presented in the form of the viewgraphs. The following subject areas are covered: basic objectives of the NASA-wide AI program; inhouse research program; constraint-based scheduling; learning and performance improvement for scheduling; GEMPLAN multi-agent planner; planning, scheduling, and control; Bayesian learning; efficient learning algorithms; ICARUS (an integrated architecture for learning); design knowledge acquisition and retention; computer-integrated documentation; and some speculation on future applications.

  5. The 1991 Goddard Conference on Space Applications of Artificial Intelligence

    NASA Technical Reports Server (NTRS)

    Rash, James L. (Editor)

    1991-01-01

    The purpose of this annual conference is to provide a forum in which current research and development directed at space applications of artificial intelligence can be presented and discussed. The papers in this proceeding fall into the following areas: Planning and scheduling, fault monitoring/diagnosis/recovery, machine vision, robotics, system development, information management, knowledge acquisition and representation, distributed systems, tools, neural networks, and miscellaneous applications.

  6. Intelligence.

    PubMed

    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.

  7. Intelligence

    PubMed Central

    Sternberg, Robert J.

    2012-01-01

    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. PMID:22577301

  8. Applications of artificial intelligence to engineering problems

    SciTech Connect

    Adey, R.A.; Sriram, D.

    1987-01-01

    The conference covered general sessions on AI techniques suitable for engineering applications, e.g. knowledge representation, natural language, probability, design methodologies and constraints. This was followed by sessions covering application in mechanical engineering, civil engineering, electrical engineering, and general engineering. Further sessions covered robotics and tools and techniques for building knowledge based systems.

  9. Applications of artificial intelligence to space station: General purpose intelligent sensor interface

    NASA Technical Reports Server (NTRS)

    Mckee, James W.

    1988-01-01

    This final report describes the accomplishments of the General Purpose Intelligent Sensor Interface task of the Applications of Artificial Intelligence to Space Station grant for the period from October 1, 1987 through September 30, 1988. Portions of the First Biannual Report not revised will not be included but only referenced. The goal is to develop an intelligent sensor system that will simplify the design and development of expert systems using sensors of the physical phenomena as a source of data. This research will concentrate on the integration of image processing sensors and voice processing sensors with a computer designed for expert system development. The result of this research will be the design and documentation of a system in which the user will not need to be an expert in such areas as image processing algorithms, local area networks, image processor hardware selection or interfacing, television camera selection, voice recognition hardware selection, or analog signal processing. The user will be able to access data from video or voice sensors through standard LISP statements without any need to know about the sensor hardware or software.

  10. Artificial Intelligence Application in Power Generation Industry: Initial considerations

    NASA Astrophysics Data System (ADS)

    Ismail, Rahmat Izaizi B.; Ismail Alnaimi, Firas B.; AL-Qrimli, Haidar F.

    2016-03-01

    With increased competitiveness in power generation industries, more resources are directed in optimizing plant operation, including fault detection and diagnosis. One of the most powerful tools in faults detection and diagnosis is artificial intelligence (AI). Faults should be detected early so correct mitigation measures can be taken, whilst false alarms should be eschewed to avoid unnecessary interruption and downtime. For the last few decades there has been major interest towards intelligent condition monitoring system (ICMS) application in power plant especially with AI development particularly in artificial neural network (ANN). ANN is based on quite simple principles, but takes advantage of their mathematical nature, non-linear iteration to demonstrate powerful problem solving ability. With massive possibility and room for improvement in AI, the inspiration for researching them are apparent, and literally, hundreds of papers have been published, discussing the findings of hybrid AI for condition monitoring purposes. In this paper, the studies of ANN and genetic algorithm (GA) application will be presented.

  11. Fourth Conference on Artificial Intelligence for Space Applications

    NASA Technical Reports Server (NTRS)

    Odell, Stephen L. (Compiler); Denton, Judith S. (Compiler); Vereen, Mary (Compiler)

    1988-01-01

    Proceedings of a conference held in Huntsville, Alabama, on November 15-16, 1988. The Fourth Conference on Artificial Intelligence for Space Applications brings together diverse technical and scientific work in order to help those who employ AI methods in space applications to identify common goals and to address issues of general interest in the AI community. Topics include the following: space applications of expert systems in fault diagnostics, in telemetry monitoring and data collection, in design and systems integration; and in planning and scheduling; knowledge representation, capture, verification, and management; robotics and vision; adaptive learning; and automatic programming.

  12. Application of Artificial Intelligence to Improve Aircraft Survivability.

    DTIC Science & Technology

    1985-12-01

    AD-A164 172 APPLICATION OF ARTIFICIAL INTELLIGENCE TO IMPROVE 1/1 AIRCRAFT SURVASRILITY(U) NAVAL POSTGRADUATE SCHOOL UNCR7SIFEDMONTEREY CA N L DECKER...4 5- * . . . . . . 5~5~ * . . - -- &:~~-::-~&~ S.- ~ ~ S. . ~ ~.’ ~ VV ~ NAVAL POSTGRADUATE SCHOOL Monterey, California DTIC FEB 1406 D4 THESIS... School 6 7 Naval Postgraduate School 6C ADDRESS (City, State. and ZIP Code) 7b. ADDRESS (City, State, and ZIP Code) Monterey, California 93943-5100

  13. Application of Artificial Intelligence Techniques in Unmanned Aerial Vehicle Flight

    NASA Technical Reports Server (NTRS)

    Bauer, Frank H. (Technical Monitor); Dufrene, Warren R., Jr.

    2003-01-01

    This paper describes the development of an application of Artificial Intelligence for Unmanned Aerial Vehicle (UAV) control. The project was done as part of the requirements for a class in Artificial Intelligence (AI) at Nova southeastern University and as an adjunct to a project at NASA Goddard Space Flight Center's Wallops Flight Facility for a resilient, robust, and intelligent UAV flight control system. A method is outlined which allows a base level application for applying an AI method, Fuzzy Logic, to aspects of Control Logic for UAV flight. One element of UAV flight, automated altitude hold, has been implemented and preliminary results displayed. A low cost approach was taken using freeware, gnu, software, and demo programs. The focus of this research has been to outline some of the AI techniques used for UAV flight control and discuss some of the tools used to apply AI techniques. The intent is to succeed with the implementation of applying AI techniques to actually control different aspects of the flight of an UAV.

  14. Artificial intelligence program in a computer application supporting reactor operations

    SciTech Connect

    Stratton, R.C.; Town, G.G.

    1985-01-01

    Improving nuclear reactor power plant operability is an ever-present concern for the nuclear industry. The definition of plant operability involves a complex interaction of the ideas of reliability, safety, and efficiency. This paper presents observations concerning the issues involved and the benefits derived from the implementation of a computer application which combines traditional computer applications with artificial intelligence (AI) methodologies. A system, the Component Configuration Control System (CCCS), is being installed to support nuclear reactor operations at the Experimental Breeder Reactor II.

  15. The application of artificial intelligence technology to aeronautical system design

    NASA Technical Reports Server (NTRS)

    Bouchard, E. E.; Kidwell, G. H.; Rogan, J. E.

    1988-01-01

    This paper describes the automation of one class of aeronautical design activity using artificial intelligence and advanced software techniques. Its purpose is to suggest concepts, terminology, and approaches that may be useful in enhancing design automation. By understanding the basic concepts and tasks in design, and the technologies that are available, it will be possible to produce, in the future, systems whose capabilities far exceed those of today's methods. Some of the tasks that will be discussed have already been automated and are in production use, resulting in significant productivity benefits. The concepts and techniques discussed are applicable to all design activity, though aeronautical applications are specifically presented.

  16. An artificial neural network controller for intelligent transportation systems applications

    SciTech Connect

    Vitela, J.E.; Hanebutte, U.R.; Reifman, J.

    1996-04-01

    An Autonomous Intelligent Cruise Control (AICC) has been designed using a feedforward artificial neural network, as an example for utilizing artificial neural networks for nonlinear control problems arising in intelligent transportation systems applications. The AICC is based on a simple nonlinear model of the vehicle dynamics. A Neural Network Controller (NNC) code developed at Argonne National Laboratory to control discrete dynamical systems was used for this purpose. In order to test the NNC, an AICC-simulator containing graphical displays was developed for a system of two vehicles driving in a single lane. Two simulation cases are shown, one involving a lead vehicle with constant velocity and the other a lead vehicle with varying acceleration. More realistic vehicle dynamic models will be considered in future work.

  17. Artificial intelligence applications in space and SDI: A survey

    NASA Technical Reports Server (NTRS)

    Fiala, Harvey E.

    1988-01-01

    The purpose of this paper is to survey existing and planned Artificial Intelligence (AI) applications to show that they are sufficiently advanced for 32 percent of all space applications and SDI (Space Defense Initiative) software to be AI-based software. To best define the needs that AI can fill in space and SDI programs, this paper enumerates primary areas of research and lists generic application areas. Current and planned NASA and military space projects in AI will be reviewed. This review will be largely in the selected area of expert systems. Finally, direct applications of AI to SDI will be treated. The conclusion covers the importance of AI to space and SDI applications, and conversely, their importance to AI.

  18. The application of artificial intelligence techniques to large distributed networks

    NASA Technical Reports Server (NTRS)

    Dubyah, R.; Smith, T. R.; Star, J. L.

    1985-01-01

    Data accessibility and transfer of information, including the land resources information system pilot, are structured as large computer information networks. These pilot efforts include the reduction of the difficulty to find and use data, reducing processing costs, and minimize incompatibility between data sources. Artificial Intelligence (AI) techniques were suggested to achieve these goals. The applicability of certain AI techniques are explored in the context of distributed problem solving systems and the pilot land data system (PLDS). The topics discussed include: PLDS and its data processing requirements, expert systems and PLDS, distributed problem solving systems, AI problem solving paradigms, query processing, and distributed data bases.

  19. Hypermedia and intelligent tutoring applications in a mission operations environment

    NASA Technical Reports Server (NTRS)

    Ames, Troy; Baker, Clifford

    1990-01-01

    Hypermedia, hypertext and Intelligent Tutoring System (ITS) applications to support all phases of mission operations are investigated. The application of hypermedia and ITS technology to improve system performance and safety in supervisory control is described - with an emphasis on modeling operator's intentions in the form of goals, plans, tasks, and actions. Review of hypermedia and ITS technology is presented as may be applied to the tutoring of command and control languages. Hypertext based ITS is developed to train flight operation teams and System Test and Operation Language (STOL). Specific hypermedia and ITS application areas are highlighted, including: computer aided instruction of flight operation teams (STOL ITS) and control center software development tools (CHIMES and STOL Certification Tool).

  20. Space applications of artificial intelligence; 1990 Goddard Conference, Greenbelt, MD, May 1, 2, 1990, Selected Papers

    NASA Technical Reports Server (NTRS)

    Rash, James L. (Editor)

    1990-01-01

    The papers presented at the 1990 Goddard Conference on Space Applications of Artificial Intelligence are given. The purpose of this annual conference is to provide a forum in which current research and development directed at space applications of artificial intelligence can be presented and discussed. The proceedings fall into the following areas: Planning and Scheduling, Fault Monitoring/Diagnosis, Image Processing and Machine Vision, Robotics/Intelligent Control, Development Methodologies, Information Management, and Knowledge Acquisition.

  1. Web-Based Intelligent E-Learning Systems: Technologies and Applications

    ERIC Educational Resources Information Center

    Ma, Zongmin

    2006-01-01

    Collecting and presenting the latest research and development results from the leading researchers in the field of e-learning systems, Web-Based Intelligent E-Learning Systems: Technologies and Applications provides a single record of current research and practical applications in Web-based intelligent e-learning systems. This book includes major…

  2. The Effect of Emotional Intelligence on Program Completion among Adult Basic Education Students

    ERIC Educational Resources Information Center

    Batiste, Mildred M.

    2014-01-01

    Program completion among adult learners attending adult basic education programs has been found to be an area of struggle. Cognitive ability has always been the primary factor for determining an individual's ability. However, non-cognitive ability has been proposed as a significant factor in academic success. Many attrition models have been…

  3. 14 CFR 161.315 - Receipt of complete application.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 14 Aeronautics and Space 3 2011-01-01 2011-01-01 false Receipt of complete application. 161.315 Section 161.315 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION (CONTINUED) AIRPORTS NOTICE AND APPROVAL OF AIRPORT NOISE AND ACCESS RESTRICTIONS Notice, Review,...

  4. 14 CFR 161.315 - Receipt of complete application.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 14 Aeronautics and Space 3 2010-01-01 2010-01-01 false Receipt of complete application. 161.315 Section 161.315 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION (CONTINUED) AIRPORTS NOTICE AND APPROVAL OF AIRPORT NOISE AND ACCESS RESTRICTIONS Notice, Review,...

  5. 7 CFR 1737.50 - Review of completed loan application.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ..., unless the borrower is seeking a guaranteed loan; and (6) Various supplementary information. See 7 CFR part 1737 for additional information. (b) RUS shall review the completed loan application, particularly..., commercial facilities, system and exchange boundaries, and proposed acquisitions. RUS shall review the LD...

  6. Some completely monotonic functions involving polygamma functions and an application

    NASA Astrophysics Data System (ADS)

    Qi, Feng; Cui, Run-Qing; Chen, Chao-Ping; Guo, Bai-Ni

    2005-10-01

    By using the first Binet's formula the strictly completely monotonic properties of functions involving the psi and polygamma functions are obtainedE As direct consequences, two inequalities are proved. As an application, the best lower and upper bounds of the nth harmonic number are established.

  7. Application of CAN-bus Network in Intelligent parking

    NASA Astrophysics Data System (ADS)

    Jianjun, WU; Juan, Hu

    Convenient life makes intelligent parking every- where. This paper describes how to connect the various separate modern terminal of intelligent parking with CAN-bus network, and the competitive advantage of the system by using the CAN-bus network. From a technical point of view, this paper describes the development trend of intelligent parking in next few years.

  8. Programming environment for distributed applications design in artificial intelligence

    NASA Astrophysics Data System (ADS)

    Baujard, Olivier; Pesty, Sylvie; Garbay, Catherine

    1992-03-01

    Complex applications in artificial intelligence need a multiple representation of knowledge and tasks in terms of abstraction levels and points of view. The integration of numerous resources (knowledge-based systems, real-time systems, data bases, etc.), often geographically distributed on different machines connected into a network, is moreover a necessity for the development of real scale systems. The distributed artificial intelligence (DAI) approach is thus becoming important to solve problems in complex situations. There are several currents in DAI research and we are involved in the design of DAI programming platforms for large and complex real-world problem solving systems. Blackboard systems constitute the earlier architecture. It is based on a shared memory which permits the communication among a collection of specialists and an external and unique control structure. Blackboard architectures have been extended, especially to introduce parallelism. Multi-agent architectures are based on coordinated agents (problem-solvers) communicating most of the time via message passing. A solution is found through the cooperation between several agents, each of them being in charge of a specific task, but no one having sufficient resources to obtain a solution. Coordination, cooperation, knowledge, goal, plan, exchanges are then necessary to reach a global solution. Our own research is along this last line. The current presentation describes Multi-Agent Problem Solver (MAPS) which is an agent-oriented language for a DAI system design embedded in a full programming environment. An agent is conceived as an autonomous entity with specific goals, roles, skills, and resources. Knowledge (descriptive and operative) is distributed among agents organized into networks (agents communicate through message sending). Agents are moreover geographically distributed and run in a parallel mode. Our purpose is to build a powerful environment for DAI applications design that not only

  9. Worldwide Intelligent Systems: Approaches to Telecommunications and Network Management. Frontiers in Artificial Intelligence and Applications, Volume 24.

    ERIC Educational Resources Information Center

    Liebowitz, Jay, Ed.; Prerau, David S., Ed.

    This is an international collection of 12 papers addressing artificial intelligence (AI) and knowledge technology applications in telecommunications and network management. It covers the latest and emerging AI technologies as applied to the telecommunications field. The papers are: "The Potential for Knowledge Technology in…

  10. The Application of Intelligent Building Technologies to Space Hotels

    NASA Astrophysics Data System (ADS)

    Fawkes, S.

    This paper reports that over the last few years Intelligent Building technologies have matured and standardised. It compares the functions of command and control systems in future large space facilities such as space hotels to those commonly found in Intelligent Buildings and looks at how Intelligent Building technologies may be applied to space hotels. Many of the functions required in space hotels are the same as those needed in terrestrial buildings. The adaptation of standardised, low cost, Intelligent Building technologies would reduce capital costs and ease development of future space hotels. Other aspects of Intelligent Buildings may also provide useful models for the development and operation of space hotels.

  11. Intelligent Chemical Sensor Systems for In-space Safety Applications

    NASA Technical Reports Server (NTRS)

    Hunter, G. W.; Xu, J. C.; Neudeck, P. G.; Makel, D. B.; Ward, B.; Liu, C. C.

    2006-01-01

    Future in-space and lunar operations will require significantly improved monitoring and Integrated System Health Management (ISHM) throughout the mission. In particular, the monitoring of chemical species is an important component of an overall monitoring system for space vehicles and operations. For example, in leak monitoring of propulsion systems during launch, inspace, and on lunar surfaces, detection of low concentrations of hydrogen and other fuels is important to avoid explosive conditions that could harm personnel and damage the vehicle. Dependable vehicle operation also depends on the timely and accurate measurement of these leaks. Thus, the development of a sensor array to determine the concentration of fuels such as hydrogen, hydrocarbons, or hydrazine as well as oxygen is necessary. Work has been on-going to develop an integrated smart leak detection system based on miniaturized sensors to detect hydrogen, hydrocarbons, or hydrazine, and oxygen. The approach is to implement Microelectromechanical Systems (MEMS) based sensors incorporated with signal conditioning electronics, power, data storage, and telemetry enabling intelligent systems. The final sensor system will be self-contained with a surface area comparable to a postage stamp. This paper discusses the development of this "Lick and Stick" leak detection system and it s application to In-Space Transportation and other Exploration applications.

  12. Intelligent Facial Recognition Systems: Technology advancements for security applications

    SciTech Connect

    Beer, C.L.

    1993-07-01

    Insider problems such as theft and sabotage can occur within the security and surveillance realm of operations when unauthorized people obtain access to sensitive areas. A possible solution to these problems is a means to identify individuals (not just credentials or badges) in a given sensitive area and provide full time personnel accountability. One approach desirable at Department of Energy facilities for access control and/or personnel identification is an Intelligent Facial Recognition System (IFRS) that is non-invasive to personnel. Automatic facial recognition does not require the active participation of the enrolled subjects, unlike most other biological measurement (biometric) systems (e.g., fingerprint, hand geometry, or eye retinal scan systems). It is this feature that makes an IFRS attractive for applications other than access control such as emergency evacuation verification, screening, and personnel tracking. This paper discusses current technology that shows promising results for DOE and other security applications. A survey of research and development in facial recognition identified several companies and universities that were interested and/or involved in the area. A few advanced prototype systems were also identified. Sandia National Laboratories is currently evaluating facial recognition systems that are in the advanced prototype stage. The initial application for the evaluation is access control in a controlled environment with a constant background and with cooperative subjects. Further evaluations will be conducted in a less controlled environment, which may include a cluttered background and subjects that are not looking towards the camera. The outcome of the evaluations will help identify areas of facial recognition systems that need further development and will help to determine the effectiveness of the current systems for security applications.

  13. Applications of Artificial Intelligence in Education--A Personal View.

    ERIC Educational Resources Information Center

    Richer, Mark H.

    1985-01-01

    Discusses: how artificial intelligence (AI) can advance education; if the future of software lies in AI; the roots of intelligent computer-assisted instruction; protocol analysis; reactive environments; LOGO programming language; student modeling and coaching; and knowledge-based instructional programs. Numerous examples of AI programs are cited.…

  14. Consequences and applications of the completeness of Hardy's nonlocality

    NASA Astrophysics Data System (ADS)

    Mansfield, Shane

    2017-02-01

    Logical nonlocality is completely characterized by Hardy's "paradox" in (2 ,2 ,l ) and (2 ,k ,2 ) scenarios. We consider a variety of consequences and applications of this fact. (i) Polynomial algorithms may be given for deciding logical nonlocality in these scenarios. (ii) Bell states are the only entangled two-qubit states which are not logically nonlocal under projective measurements. (iii) It is possible to witness Hardy nonlocality with certainty in a simple tripartite quantum system. (iv) Noncommutativity of observables is necessary and sufficient for enabling logical nonlocality.

  15. Use of Microarray Test Data for Toxicogenomic Prediction-Multi-Intelligent Systems for Toxicogenomic Applications (MISTA)

    SciTech Connect

    Wasson, J.S.; Lu, P.-Y.

    2005-09-12

    The YAHSGS LLC and Oak Ridge National Laboratory established a CRADA to develop a computational neural network and wavelets software to facilitate providing national needs for toxicity prediction and overcome the voracious drain of resources (money and time) being directed to the development of pharmaceutical agents. The research project was supported through a STTR Phase I task by NIEHS in 2004. The research deploys state-of-the-art computational neural networks and wavelets to make toxicity prediction on three independent bases: (1) quantitative structure-activity relationships, (2) microarray data, and (3) Massively Parallel Signature Sequencing technology. Upon completion of Phase I, a prototype software Multi-Intelligent System for Toxicogenomic and Applications (MISTA) was developed, the utility's feasibility was demonstrated, and a Phase II proposal was jointly prepared and submitted to NIEHS for funding evaluation. The goals and objectives of the program have been achieved.

  16. Global Completability with Applications to Self-Consistent Quantum Tomography

    NASA Astrophysics Data System (ADS)

    Stark, Cyril Jakob

    2016-11-01

    Let {{p}1,ldots, {p}N in R^D} be unknown vectors and let {Ω subseteq {1,ldots,N}2}. Assume that the inner products {{p}i^T {p}j} are fixed for all {(i,j) in Ω}. Do these inner product constraints (up to simultaneous rotation of all vectors) determine {{p}1, ldots, {p}N} uniquely? Here we derive a necessary and sufficient condition for the uniqueness of {{p}1, ldots,{p}N} (i.e., global completability) which is applicable to a large class of practically relevant sets {Ω}. Moreover, given {Ω}, we show that the condition for global completability is universal in the sense that for almost all vectors {{p}1, ldots,{p}N in RD} the completability of {{p}1, ldots,{p}N} only depends on {Ω} and not on the specific values of {{p}i^T {p}j} for {(i,j) in Ω}. This work was motivated by practical considerations, namely, matrix factorization techniques and self-consistent quantum tomography.

  17. The 1995 Goddard Conference on Space Applications of Artificial Intelligence and Emerging Information Technologies

    NASA Technical Reports Server (NTRS)

    Hostetter, Carl F. (Editor)

    1995-01-01

    This publication comprises the papers presented at the 1995 Goddard Conference on Space Applications of Artificial Intelligence and Emerging Information Technologies held at the NASA/Goddard Space Flight Center, Greenbelt, Maryland, on May 9-11, 1995. The purpose of this annual conference is to provide a forum in which current research and development directed at space applications of artificial intelligence can be presented and discussed.

  18. Computational intelligence and neuromorphic computing potential for cybersecurity applications

    NASA Astrophysics Data System (ADS)

    Pino, Robinson E.; Shevenell, Michael J.; Cam, Hasan; Mouallem, Pierre; Shumaker, Justin L.; Edwards, Arthur H.

    2013-05-01

    In today's highly mobile, networked, and interconnected internet world, the flow and volume of information is overwhelming and continuously increasing. Therefore, it is believed that the next frontier in technological evolution and development will rely in our ability to develop intelligent systems that can help us process, analyze, and make-sense of information autonomously just as a well-trained and educated human expert. In computational intelligence, neuromorphic computing promises to allow for the development of computing systems able to imitate natural neurobiological processes and form the foundation for intelligent system architectures.

  19. The application of artificial intelligence to astronomical scheduling problems

    NASA Technical Reports Server (NTRS)

    Johnston, Mark D.

    1992-01-01

    Efficient utilization of expensive space- and ground-based observatories is an important goal for the astronomical community; the cost of modern observing facilities is enormous, and the available observing time is much less than the demand from astronomers around the world. The complexity and variety of scheduling constraints and goals has led several groups to investigate how artificial intelligence (AI) techniques might help solve these kinds of problems. The earliest and most successful of these projects was started at Space Telescope Science Institute in 1987 and has led to the development of the Spike scheduling system to support the scheduling of Hubble Space Telescope (HST). The aim of Spike at STScI is to allocate observations to timescales of days to a week observing all scheduling constraints and maximizing preferences that help ensure that observations are made at optimal times. Spike has been in use operationally for HST since shortly after the observatory was launched in Apr. 1990. Although developed specifically for HST scheduling, Spike was carefully designed to provide a general framework for similar (activity-based) scheduling problems. In particular, the tasks to be scheduled are defined in the system in general terms, and no assumptions about the scheduling timescale are built in. The mechanisms for describing, combining, and propagating temporal and other constraints and preferences are quite general. The success of this approach has been demonstrated by the application of Spike to the scheduling of other satellite observatories: changes to the system are required only in the specific constraints that apply, and not in the framework itself. In particular, the Spike framework is sufficiently flexible to handle both long-term and short-term scheduling, on timescales of years down to minutes or less. This talk will discuss recent progress made in scheduling search techniques, the lessons learned from early HST operations, the application of Spike

  20. Software Reviews. PC Software for Artificial Intelligence Applications.

    ERIC Educational Resources Information Center

    Epp, Helmut; And Others

    1988-01-01

    Contrasts artificial intelligence and conventional programming languages. Reviews Personal Consultant Plus, Smalltalk/V, and Nexpert Object, which are PC-based products inspired by problem-solving paradigms. Provides information on background and operation of each. (RT)

  1. 21 CFR 314.110 - Complete response letter to the applicant.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... (CONTINUED) DRUGS FOR HUMAN USE APPLICATIONS FOR FDA APPROVAL TO MARKET A NEW DRUG FDA Action on Applications... response letter. FDA will send the applicant a complete response letter if the agency determines that we...) Complete review of data. A complete response letter reflects FDA's complete review of the data submitted...

  2. The application of neural networks with artificial intelligence technique in the modeling of industrial processes

    SciTech Connect

    Saini, K. K.; Saini, Sanju

    2008-10-07

    Neural networks are a relatively new artificial intelligence technique that emulates the behavior of biological neural systems in digital software or hardware. These networks can 'learn', automatically, complex relationships among data. This feature makes the technique very useful in modeling processes for which mathematical modeling is difficult or impossible. The work described here outlines some examples of the application of neural networks with artificial intelligence technique in the modeling of industrial processes.

  3. The Application of Neural Networks with Artificial Intelligence Technique in the Modeling of Industrial Processes

    NASA Astrophysics Data System (ADS)

    Saini, K. K.; Saini, Sanju

    2008-10-01

    Neural networks are a relatively new artificial intelligence technique that emulates the behavior of biological neural systems in digital software or hardware. These networks can "learn," automatically, complex relationships among data. This feature makes the technique very useful in modeling processes for which mathematical modeling is difficult or impossible. The work described here outlines some examples of the application of neural networks with artificial intelligence technique in the modeling of industrial processes.

  4. An application of artificial intelligence theory to reconfigurable flight control

    NASA Technical Reports Server (NTRS)

    Handelman, David A.

    1987-01-01

    Artificial intelligence techniques were used along with statistical hpyothesis testing and modern control theory, to help the pilot cope with the issues of information, knowledge, and capability in the event of a failure. An intelligent flight control system is being developed which utilizes knowledge of cause and effect relationships between all aircraft components. It will screen the information available to the pilots, supplement his knowledge, and most importantly, utilize the remaining flight capability of the aircraft following a failure. The list of failure types the control system will accommodate includes sensor failures, actuator failures, and structural failures.

  5. 7 CFR 97.17 - Papers of completed application to be retained.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 7 Agriculture 3 2013-01-01 2013-01-01 false Papers of completed application to be retained. 97.17... LABORATORY TESTING PROGRAMS PLANT VARIETY AND PROTECTION The Application § 97.17 Papers of completed application to be retained. The papers submitted with a completed application shall be retained by the...

  6. Robotics, Artificial Intelligence, Computer Simulation: Future Applications in Special Education.

    ERIC Educational Resources Information Center

    Moore, Gwendolyn B.; And Others

    The report describes three advanced technologies--robotics, artificial intelligence, and computer simulation--and identifies the ways in which they might contribute to special education. A hybrid methodology was employed to identify existing technology and forecast future needs. Following this framework, each of the technologies is defined,…

  7. Proceedings of the third conference on artificial intelligence applications

    SciTech Connect

    Not Available

    1987-01-01

    This book presents the papers given at a conference on artificial intelligence. Topics considered at the conference included a knowledge-based imaging system for electromagnetic testing, natural language processing, diagnostic techniques, knowledge acquisition, manufacturing, real-time programming, robotics, search, uncertainty, design, planning, and software.

  8. Exploring the Application of Multiple Intelligences Theory to Career Counseling

    ERIC Educational Resources Information Center

    Shearer, C. Branton; Luzzo, Darrell Anthony

    2009-01-01

    This article demonstrates the practical value of applying H. Gardner's (1993) theory of multiple intelligences (MI) to the practice of career counseling. An overview of H. Gardner's MI theory is presented, and the ways in which educational and vocational planning can be augmented by the integration of MI theory in career counseling contexts are…

  9. Battlefield Acoustic Sensing, Multimodal Sensing, and Networked Sensing for Intelligence, Surveillance, and Reconnaissance (ISR) Applications

    DTIC Science & Technology

    2015-09-01

    Intelligence, Surveillance, and Reconnaissance (ISR) Applications by Latasha Solomon, Wesley Wang, and Miriam Häge...Surveillance, and Reconnaissance (ISR) Applications by Latasha Solomon Sensors and Electron Devices Directorate, ARL Wesley Wang...Latasha Solomon, Wesley Wang, and Miriam Hӓge 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S

  10. Applications of artificial intelligence IX; Proceedings of the Meeting, Orlando, FL, Apr. 2-4, 1991

    SciTech Connect

    Trivedi, M.M.

    1991-01-01

    The present conference discusses expert systems, object-detection techniques, planning and scheduling, image-analysis methods, knowledge-based systems, robot vision systems, AI-based diagnosis methods, design environment and tools for intelligent robots, and mobile robots. Also discussed are intelligent robot architectures, machine/computer vision applications, knowledge-acquisition and knowledge-based system verification, three-dimensional robot vision, image modeling, synthesis, and evaluation, applications of neural networks, hardware architectures for AI, planning robotic tasks, the representation and machine comprehension of natural language, and 3D textured vision systems.

  11. Development and application of a brief measure of emotional intelligence for vocational high school teachers.

    PubMed

    Wu, Shwu Ming

    2004-12-01

    To develop a psychometrically sound, self-report measure of emotional intelligence and examine the scores of vocational high school teachers by sex and age, 375 Taiwanese vocational high school teachers (186 men, 189 women) completed the 25-item Emotional Intelligence Scale of five domains: Self-awareness, Managing Emotions, Self-motivation, Empathy, and Handling Relationships. Analysis indicated that these teachers reported higher scores on Self-awareness and Empathy but slightly lower on Managing Emotions. The women gave higher self-ratings on Self-awareness and Empathy than the men. There were also significant differences across age groups on Self-awareness, Self-motivation, Empathy and the Total score for the Emotional Intelligence Scale.

  12. Why Is an Application of Multiple Intelligences Theory Important for Language Learning and Teaching Speaking Ability?

    ERIC Educational Resources Information Center

    Boonma, Malai; Phaiboonnugulkij, Malinee

    2014-01-01

    This article calls for a strong need to propose the theoretical framework of the Multiple Intelligences theory (MI) and provide a suitable answer of the doubt in part of foreign language teaching. The article addresses the application of MI theory following various sources from Howard Gardner and the authors who revised this theory for use in the…

  13. Intelligent Technologies in Library and Information Service Applications. ASIST Monograph Series.

    ERIC Educational Resources Information Center

    Lancaster, F. W.; Warner, Amy

    The objective of this study was to gain enough familiarity with developments in artificial intelligence (AI) and related technologies to be able to advise the information service community on what can be applied today and what one might reasonably expect to be applicable to library and information services in the near future. The emphasis is on…

  14. 37 CFR 2.32 - Requirements for a complete application.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... address of the applicant; (5) One or more bases, as required by § 2.34(a); (6) A list of the particular... §§ 2.51 and 2.52. (d) The application must include fee required by § 2.6 for each class of goods...

  15. 25 CFR 26.25 - What constitutes a complete Job Placement Program application?

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    ... 25 Indians 1 2011-04-01 2011-04-01 false What constitutes a complete Job Placement Program... JOB PLACEMENT AND TRAINING PROGRAM Job Placement Services § 26.25 What constitutes a complete Job Placement Program application? To be complete, a Job Placement Program application must contain all of...

  16. 25 CFR 26.25 - What constitutes a complete Job Placement Program application?

    Code of Federal Regulations, 2013 CFR

    2013-04-01

    ... 25 Indians 1 2013-04-01 2013-04-01 false What constitutes a complete Job Placement Program... JOB PLACEMENT AND TRAINING PROGRAM Job Placement Services § 26.25 What constitutes a complete Job Placement Program application? To be complete, a Job Placement Program application must contain all of...

  17. 25 CFR 26.25 - What constitutes a complete Job Placement Program application?

    Code of Federal Regulations, 2014 CFR

    2014-04-01

    ... 25 Indians 1 2014-04-01 2014-04-01 false What constitutes a complete Job Placement Program... JOB PLACEMENT AND TRAINING PROGRAM Job Placement Services § 26.25 What constitutes a complete Job Placement Program application? To be complete, a Job Placement Program application must contain all of...

  18. The achievement of spacecraft autonomy through the thematic application of multiple cooperating intelligent agents

    NASA Technical Reports Server (NTRS)

    Rossomando, Philip J.

    1992-01-01

    A description is given of UNICORN, a prototype system developed for the purpose of investigating artificial intelligence (AI) concepts supporting spacecraft autonomy. UNICORN employs thematic reasoning, of the type first described by Rodger Schank of Northwestern University, to allow the context-sensitive control of multiple intelligent agents within a blackboard based environment. In its domain of application, UNICORN demonstrates the ability to reason teleologically with focused knowledge. Also presented are some of the lessons learned as a result of this effort. These lessons apply to any effort wherein system level autonomy is the objective.

  19. System interface for an integrated intelligent safety system (ISS) for vehicle applications.

    PubMed

    Hannan, Mahammad A; Hussain, Aini; Samad, Salina A

    2010-01-01

    This paper deals with the interface-relevant activity of a vehicle integrated intelligent safety system (ISS) that includes an airbag deployment decision system (ADDS) and a tire pressure monitoring system (TPMS). A program is developed in LabWindows/CVI, using C for prototype implementation. The prototype is primarily concerned with the interconnection between hardware objects such as a load cell, web camera, accelerometer, TPM tire module and receiver module, DAQ card, CPU card and a touch screen. Several safety subsystems, including image processing, weight sensing and crash detection systems, are integrated, and their outputs are combined to yield intelligent decisions regarding airbag deployment. The integrated safety system also monitors tire pressure and temperature. Testing and experimentation with this ISS suggests that the system is unique, robust, intelligent, and appropriate for in-vehicle applications.

  20. System Interface for an Integrated Intelligent Safety System (ISS) for Vehicle Applications

    PubMed Central

    Hannan, Mahammad A.; Hussain, Aini; Samad, Salina A.

    2010-01-01

    This paper deals with the interface-relevant activity of a vehicle integrated intelligent safety system (ISS) that includes an airbag deployment decision system (ADDS) and a tire pressure monitoring system (TPMS). A program is developed in LabWindows/CVI, using C for prototype implementation. The prototype is primarily concerned with the interconnection between hardware objects such as a load cell, web camera, accelerometer, TPM tire module and receiver module, DAQ card, CPU card and a touch screen. Several safety subsystems, including image processing, weight sensing and crash detection systems, are integrated, and their outputs are combined to yield intelligent decisions regarding airbag deployment. The integrated safety system also monitors tire pressure and temperature. Testing and experimentation with this ISS suggests that the system is unique, robust, intelligent, and appropriate for in-vehicle applications. PMID:22205861

  1. Application of Artificial Intelligence for Bridge Deterioration Model

    PubMed Central

    Chen, Zhang; Wu, Yangyang; Li, Li; Sun, Lijun

    2015-01-01

    The deterministic bridge deterioration model updating problem is well established in bridge management, while the traditional methods and approaches for this problem require manual intervention. An artificial-intelligence-based approach was presented to self-updated parameters of the bridge deterioration model in this paper. When new information and data are collected, a posterior distribution was constructed to describe the integrated result of historical information and the new gained information according to Bayesian theorem, which was used to update model parameters. This AI-based approach is applied to the case of updating parameters of bridge deterioration model, which is the data collected from bridges of 12 districts in Shanghai from 2004 to 2013, and the results showed that it is an accurate, effective, and satisfactory approach to deal with the problem of the parameter updating without manual intervention. PMID:26601121

  2. Multi-brain fusion and applications to intelligence analysis

    NASA Astrophysics Data System (ADS)

    Stoica, A.; Matran-Fernandez, A.; Andreou, D.; Poli, R.; Cinel, C.; Iwashita, Y.; Padgett, C.

    2013-05-01

    In a rapid serial visual presentation (RSVP) images are shown at an extremely rapid pace. Yet, the images can still be parsed by the visual system to some extent. In fact, the detection of specific targets in a stream of pictures triggers a characteristic electroencephalography (EEG) response that can be recognized by a brain-computer interface (BCI) and exploited for automatic target detection. Research funded by DARPA's Neurotechnology for Intelligence Analysts program has achieved speed-ups in sifting through satellite images when adopting this approach. This paper extends the use of BCI technology from individual analysts to collaborative BCIs. We show that the integration of information in EEGs collected from multiple operators results in performance improvements compared to the single-operator case.

  3. Application of Artificial Intelligence to Reservoir Characterization - An Interdisciplinary Approach

    SciTech Connect

    Kelkar, B.G.; Gamble, R.F.; Kerr, D.R.; Thompson, L.G.; Shenoi, S.

    2000-01-12

    The primary goal of this project is to develop a user-friendly computer program to integrate geological and engineering information using Artificial Intelligence (AI) methodology. The project is restricted to fluvially dominated deltaic environments. The static information used in constructing the reservoir description includes well core and log data. Using the well core and the log data, the program identifies the marker beds, and the type of sand facies, and in turn, develops correlation's between wells. Using the correlation's and sand facies, the program is able to generate multiple realizations of sand facies and petrophysical properties at interwell locations using geostatistical techniques. The generated petrophysical properties are used as input in the next step where the production data are honored. By adjusting the petrophysical properties, the match between the simulated and the observed production rates is obtained.

  4. Community intelligence in knowledge curation: an application to managing scientific nomenclature.

    PubMed

    Dai, Lin; Xu, Chao; Tian, Ming; Sang, Jian; Zou, Dong; Li, Ang; Liu, Guocheng; Chen, Fei; Wu, Jiayan; Xiao, Jingfa; Wang, Xumin; Yu, Jun; Zhang, Zhang

    2013-01-01

    Harnessing community intelligence in knowledge curation bears significant promise in dealing with communication and education in the flood of scientific knowledge. As knowledge is accumulated at ever-faster rates, scientific nomenclature, a particular kind of knowledge, is concurrently generated in all kinds of fields. Since nomenclature is a system of terms used to name things in a particular discipline, accurate translation of scientific nomenclature in different languages is of critical importance, not only for communications and collaborations with English-speaking people, but also for knowledge dissemination among people in the non-English-speaking world, particularly young students and researchers. However, it lacks of accuracy and standardization when translating scientific nomenclature from English to other languages, especially for those languages that do not belong to the same language family as English. To address this issue, here we propose for the first time the application of community intelligence in scientific nomenclature management, namely, harnessing collective intelligence for translation of scientific nomenclature from English to other languages. As community intelligence applied to knowledge curation is primarily aided by wiki and Chinese is the native language for about one-fifth of the world's population, we put the proposed application into practice, by developing a wiki-based English-to-Chinese Scientific Nomenclature Dictionary (ESND; http://esnd.big.ac.cn). ESND is a wiki-based, publicly editable and open-content platform, exploiting the whole power of the scientific community in collectively and collaboratively managing scientific nomenclature. Based on community curation, ESND is capable of achieving accurate, standard, and comprehensive scientific nomenclature, demonstrating a valuable application of community intelligence in knowledge curation.

  5. Airborne infrared hyperspectral imager for intelligence, surveillance and reconnaissance applications

    NASA Astrophysics Data System (ADS)

    Lagueux, Philippe; Puckrin, Eldon; Turcotte, Caroline S.; Gagnon, Marc-André; Bastedo, John; Farley, Vincent; Chamberland, Martin

    2012-09-01

    Persistent surveillance and collection of airborne intelligence, surveillance and reconnaissance information is critical in today's warfare against terrorism. High resolution imagery in visible and infrared bands provides valuable detection capabilities based on target shapes and temperatures. However, the spectral resolution provided by a hyperspectral imager adds a spectral dimension to the measurements, leading to additional tools for detection and identification of targets, based on their spectral signature. The Telops Hyper-Cam sensor is an interferometer-based imaging system that enables the spatial and spectral analysis of targets using a single sensor. It is based on the Fourier-transform technology yielding high spectral resolution and enabling high accuracy radiometric calibration. It provides datacubes of up to 320×256 pixels at spectral resolutions as fine as 0.25 cm-1. The LWIR version covers the 8.0 to 11.8 μm spectral range. The Hyper-Cam has been recently used for the first time in two compact airborne platforms: a bellymounted gyro-stabilized platform and a gyro-stabilized gimbal ball. Both platforms are described in this paper, and successful results of high-altitude detection and identification of targets, including industrial plumes, and chemical spills are presented.

  6. Airborne infrared hyperspectral imager for intelligence, surveillance, and reconnaissance applications

    NASA Astrophysics Data System (ADS)

    Puckrin, Eldon; Turcotte, Caroline S.; Gagnon, Marc-André; Bastedo, John; Farley, Vincent; Chamberland, Martin

    2012-06-01

    Persistent surveillance and collection of airborne intelligence, surveillance and reconnaissance information is critical in today's warfare against terrorism. High resolution imagery in visible and infrared bands provides valuable detection capabilities based on target shapes and temperatures. However, the spectral resolution provided by a hyperspectral imager adds a spectral dimension to the measurements, leading to additional tools for detection and identification of targets, based on their spectral signature. The Telops Hyper-Cam sensor is an interferometer-based imaging system that enables the spatial and spectral analysis of targets using a single sensor. It is based on the Fourier-transform technology yielding high spectral resolution and enabling high accuracy radiometric calibration. It provides datacubes of up to 320×256 pixels at spectral resolutions as fine as 0.25 cm-1. The LWIR version covers the 8.0 to 11.8 μm spectral range. The Hyper-Cam has been recently used for the first time in two compact airborne platforms: a belly-mounted gyro-stabilized platform and a gyro-stabilized gimbal ball. Both platforms are described in this paper, and successful results of high-altitude detection and identification of targets, including industrial plumes, and chemical spills are presented.

  7. Ambient Intelligence Application Based on Environmental Measurements Performed with an Assistant Mobile Robot

    PubMed Central

    Martinez, Dani; Teixidó, Mercè; Font, Davinia; Moreno, Javier; Tresanchez, Marcel; Marco, Santiago; Palacín, Jordi

    2014-01-01

    This paper proposes the use of an autonomous assistant mobile robot in order to monitor the environmental conditions of a large indoor area and develop an ambient intelligence application. The mobile robot uses single high performance embedded sensors in order to collect and geo-reference environmental information such as ambient temperature, air velocity and orientation and gas concentration. The data collected with the assistant mobile robot is analyzed in order to detect unusual measurements or discrepancies and develop focused corrective ambient actions. This paper shows an example of the measurements performed in a research facility which have enabled the detection and location of an uncomfortable temperature profile inside an office of the research facility. The ambient intelligent application has been developed by performing some localized ambient measurements that have been analyzed in order to propose some ambient actuations to correct the uncomfortable temperature profile. PMID:24681671

  8. Ambient intelligence application based on environmental measurements performed with an assistant mobile robot.

    PubMed

    Martinez, Dani; Teixidó, Mercè; Font, Davinia; Moreno, Javier; Tresanchez, Marcel; Marco, Santiago; Palacín, Jordi

    2014-03-27

    This paper proposes the use of an autonomous assistant mobile robot in order to monitor the environmental conditions of a large indoor area and develop an ambient intelligence application. The mobile robot uses single high performance embedded sensors in order to collect and geo-reference environmental information such as ambient temperature, air velocity and orientation and gas concentration. The data collected with the assistant mobile robot is analyzed in order to detect unusual measurements or discrepancies and develop focused corrective ambient actions. This paper shows an example of the measurements performed in a research facility which have enabled the detection and location of an uncomfortable temperature profile inside an office of the research facility. The ambient intelligent application has been developed by performing some localized ambient measurements that have been analyzed in order to propose some ambient actuations to correct the uncomfortable temperature profile.

  9. Space applications of automation, robotics and machine intelligence systems (ARAMIS). Volume 2. Space projects overview

    SciTech Connect

    Miller, R.H.; Minsky, M.L.; Smith, D.B.S.

    1982-08-01

    Applications of automation, robotics, and machine intelligence systems (ARAMIS) to space activities, and their related ground support functions are studied so that informed decisions can be made on which aspects of ARAMIS to develop. The space project breakdowns, which are used to identify tasks ('functional elements'), are described. The study method concentrates on the production of a matrix relating space project tasks to pieces of ARAMIS.

  10. Applications of artificial intelligence III; Proceedings of the Meeting, Orlando, FL, Apr. 1-3, 1986

    SciTech Connect

    Gilmore, J.F.

    1986-01-01

    Papers are presented on expert systems for such functions as model management, the labeling segment in FLIR imagery, and on-board fault monitoring and diagnosis; procedures for analyzing and interpreting images; and knowledge-based systems for planning, ship identification, fault-identification systems, design issues, interpretation of signal images, and electronic circuit-diagram interpretation. Topics discussed include image procesing, heuristic systems, and knowledge presentation. Consideration is given to pattern recognition, robotics, and a number of artificial intelligence applications.

  11. Space applications of Automation, Robotics and Machine Intelligence Systems (ARAMIS). Volume 2: Space projects overview

    NASA Technical Reports Server (NTRS)

    Miller, R. H.; Minsky, M. L.; Smith, D. B. S.

    1982-01-01

    Applications of automation, robotics, and machine intelligence systems (ARAMIS) to space activities, and their related ground support functions are studied so that informed decisions can be made on which aspects of ARAMIS to develop. The space project breakdowns, which are used to identify tasks ('functional elements'), are described. The study method concentrates on the production of a matrix relating space project tasks to pieces of ARAMIS.

  12. Bioinspired Intelligent Algorithm and Its Applications for Mobile Robot Control: A Survey

    PubMed Central

    Ni, Jianjun; Wu, Liuying; Fan, Xinnan; Yang, Simon X.

    2016-01-01

    Bioinspired intelligent algorithm (BIA) is a kind of intelligent computing method, which is with a more lifelike biological working mechanism than other types. BIAs have made significant progress in both understanding of the neuroscience and biological systems and applying to various fields. Mobile robot control is one of the main application fields of BIAs which has attracted more and more attention, because mobile robots can be used widely and general artificial intelligent algorithms meet a development bottleneck in this field, such as complex computing and the dependence on high-precision sensors. This paper presents a survey of recent research in BIAs, which focuses on the research in the realization of various BIAs based on different working mechanisms and the applications for mobile robot control, to help in understanding BIAs comprehensively and clearly. The survey has four primary parts: a classification of BIAs from the biomimetic mechanism, a summary of several typical BIAs from different levels, an overview of current applications of BIAs in mobile robot control, and a description of some possible future directions for research. PMID:26819582

  13. Bioinspired Intelligent Algorithm and Its Applications for Mobile Robot Control: A Survey.

    PubMed

    Ni, Jianjun; Wu, Liuying; Fan, Xinnan; Yang, Simon X

    2016-01-01

    Bioinspired intelligent algorithm (BIA) is a kind of intelligent computing method, which is with a more lifelike biological working mechanism than other types. BIAs have made significant progress in both understanding of the neuroscience and biological systems and applying to various fields. Mobile robot control is one of the main application fields of BIAs which has attracted more and more attention, because mobile robots can be used widely and general artificial intelligent algorithms meet a development bottleneck in this field, such as complex computing and the dependence on high-precision sensors. This paper presents a survey of recent research in BIAs, which focuses on the research in the realization of various BIAs based on different working mechanisms and the applications for mobile robot control, to help in understanding BIAs comprehensively and clearly. The survey has four primary parts: a classification of BIAs from the biomimetic mechanism, a summary of several typical BIAs from different levels, an overview of current applications of BIAs in mobile robot control, and a description of some possible future directions for research.

  14. The Application of Artificial Intelligence Principles to Teaching and Training

    ERIC Educational Resources Information Center

    Shaw, Keith

    2008-01-01

    This paper compares and contrasts the use of AI principles in industrial training with more normal computer-based training (CBT) approaches. A number of applications of CBT are illustrated (for example simulations, tutorial presentations, fault diagnosis, management games, industrial relations exercises) and compared with an alternative approach…

  15. Interactive intelligent remote operations: application to space robotics

    NASA Astrophysics Data System (ADS)

    Dupuis, Erick; Gillett, G. R.; Boulanger, Pierre; Edwards, Eric; Lipsett, Michael G.

    1999-11-01

    A set of tolls addressing the problems specific to the control and monitoring of remote robotic systems from extreme distances has been developed. The tools include the capability to model and visualize the remote environment, to generate and edit complex task scripts, to execute the scripts to supervisory control mode and to monitor and diagnostic equipment from multiple remote locations. Two prototype systems are implemented for demonstration. The first demonstration, using a prototype joint design called Dexter, shows the applicability of the approach to space robotic operation in low Earth orbit. The second demonstration uses a remotely controlled excavator in an operational open-pit tar sand mine. This demonstrates that the tools developed can also be used for planetary exploration operations as well as for terrestrial mining applications.

  16. A Scheme of Intelligent Oil Spill Monitoring System by SAR for Operational Application

    NASA Astrophysics Data System (ADS)

    Zeng, Kan; Ma, Youjun; Ding, Xingtao; Zhao, Chaofang; He, Mingxia

    2014-11-01

    A scheme of intelligent oil spill monitoring system by SAR for operational application is presented. The system includes four key techniques. 1) Picking out dark targets from SAR images using a new adaptive threshold segmentation algorithm based on evaluating the trends of background of SAR image along the range direction. The algorithm is applicable for SAR images of different satellites. 2) Filtering out some of look-alikes from dark targets by a chain of rules. 3) Extracting features from all the remained dark targets, selecting the most useful features and then discriminating the targets between oil spill and look-alikes by an artificial neural network (ANN). The feature extraction is based on lots of targets. The ANN experiences enough training. 4) Using an intelligent feedback with expert knowledge and relevant environment parameters to continually optimize system and improve the detection rate. So far, the test on 1448 oil spill and look-alike targets from Envisat/ASAR images shows that the correct recognition rate of the system can reach 88 % without the intelligent feedback.

  17. 15 CFR 971.210 - Determination whether application is complete for further processing.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... COMMERCE GENERAL REGULATIONS OF THE ENVIRONMENTAL DATA SERVICE DEEP SEABED MINING REGULATIONS FOR COMMERCIAL RECOVERY PERMITS Applications Procedures § 971.210 Determination whether application is complete... 15 Commerce and Foreign Trade 3 2014-01-01 2014-01-01 false Determination whether application...

  18. 15 CFR 971.210 - Determination whether application is complete for further processing.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... COMMERCE GENERAL REGULATIONS OF THE ENVIRONMENTAL DATA SERVICE DEEP SEABED MINING REGULATIONS FOR COMMERCIAL RECOVERY PERMITS Applications Procedures § 971.210 Determination whether application is complete... 15 Commerce and Foreign Trade 3 2013-01-01 2013-01-01 false Determination whether application...

  19. 15 CFR 971.210 - Determination whether application is complete for further processing.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... COMMERCE GENERAL REGULATIONS OF THE ENVIRONMENTAL DATA SERVICE DEEP SEABED MINING REGULATIONS FOR COMMERCIAL RECOVERY PERMITS Applications Procedures § 971.210 Determination whether application is complete... 15 Commerce and Foreign Trade 3 2012-01-01 2012-01-01 false Determination whether application...

  20. 15 CFR 971.210 - Determination whether application is complete for further processing.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... COMMERCE GENERAL REGULATIONS OF THE ENVIRONMENTAL DATA SERVICE DEEP SEABED MINING REGULATIONS FOR COMMERCIAL RECOVERY PERMITS Applications Procedures § 971.210 Determination whether application is complete... 15 Commerce and Foreign Trade 3 2010-01-01 2010-01-01 false Determination whether application...

  1. 15 CFR 971.210 - Determination whether application is complete for further processing.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... COMMERCE GENERAL REGULATIONS OF THE ENVIRONMENTAL DATA SERVICE DEEP SEABED MINING REGULATIONS FOR COMMERCIAL RECOVERY PERMITS Applications Procedures § 971.210 Determination whether application is complete... 15 Commerce and Foreign Trade 3 2011-01-01 2011-01-01 false Determination whether application...

  2. Applying predictive analytics to develop an intelligent risk detection application for healthcare contexts.

    PubMed

    Moghimi, Fatemeh Hoda; Cheung, Michael; Wickramasinghe, Nilmini

    2013-01-01

    Healthcare is an information rich industry where successful outcomes require the processing of multi-spectral data and sound decision making. The exponential growth of data and big data issues coupled with a rapid increase of service demands in healthcare contexts today, requires a robust framework enabled by IT (information technology) solutions as well as real-time service handling in order to ensure superior decision making and successful healthcare outcomes. Such a context is appropriate for the application of real time intelligent risk detection decision support systems using predictive analytic techniques such as data mining. To illustrate the power and potential of data science technologies in healthcare decision making scenarios, the use of an intelligent risk detection (IRD) model is proffered for the context of Congenital Heart Disease (CHD) in children, an area which requires complex high risk decisions that need to be made expeditiously and accurately in order to ensure successful healthcare outcomes.

  3. Applications of artificial intelligence VIII; Proceedings of the Meeting, Orlando, FL, Apr. 17-19, 1990

    SciTech Connect

    Trivedi, M.M.

    1990-01-01

    The present conference on applications of artificial intelligence (AI) encompasses computer vision, knowledge acquisition and representation, model-based vision, neural networks, robot planning, knowledge-based systems, path planning, image analysis, AI in aerospace systems, and semiconductor manufacturing systems. Specific issues addressed include object detection using scale space, nonmonotonic scene interpretation, 3D object reconstruction from multiple stereo views, recognition via alignment using aspect models, target detection in a neural-network environment, the optimization of precedence-constraint robot assembly sequences, and free-space representations for robot-path planning. Also addressed are an edge-detection method, an approach to elemental task learning, issues in building intelligent grasping systems, an oral task-oriented dialogue for air-traffic controller training, and the experimental optimization of the neuronlike network applied for the processing of moving images.

  4. Minimal cut-set methodology for artificial intelligence applications

    SciTech Connect

    Weisbin, C.R.; de Saussure, G.; Barhen, J.; Oblow, E.M.; White, J.C.

    1984-01-01

    This paper reviews minimal cut-set theory and illustrates its application with an example. The minimal cut-set approach uses disjunctive normal form in Boolean algebra and various Boolean operators to simplify very complicated tree structures composed of AND/OR gates. The simplification process is automated and performed off-line using existing computer codes to implement the Boolean reduction on the finite, but large tree structure. With this approach, on-line expert diagnostic systems whose response time is critical, could determine directly whether a goal is achievable by comparing the actual system state to a concisely stored set of preprocessed critical state elements.

  5. An application of artificial intelligence to automatic telescopes

    NASA Technical Reports Server (NTRS)

    Swanson, Keith; Drummond, Mark; Bresina, John

    1992-01-01

    Automatic Photoelectric Telescopes (APT's) allow an astronomer to be removed form the telescope site in both time and space. APT's 'execute' an observation program (a set of observation requests) expressed in an ASCII-based language (ATIS) and collect observation results expressed in this same language. The observation program is currently constructed by a Principal Astronomer from the requests of multiple users; the execution is currently controlled by a simple heuristic dispatch scheduler. Research aimed at improving the use of APT's is being carried out by the Entropy Reduction Engine (ERE) project at NASA Ames. The overall goal of the ERE project is the study and construction of systems that integrate planning, scheduling, and control. This paper discusses the application of some ERE technical results to the improvement of both the scheduling and the operation of APT's.

  6. 40 CFR 194.11 - Completeness and accuracy of compliance applications.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) RADIATION PROTECTION PROGRAMS CRITERIA FOR THE CERTIFICATION AND RE-CERTIFICATION OF THE WASTE... and Re-certification Applications § 194.11 Completeness and accuracy of compliance...

  7. 25 CFR 26.32 - What constitutes a complete Job Training Program application?

    Code of Federal Regulations, 2014 CFR

    2014-04-01

    ... 25 Indians 1 2014-04-01 2014-04-01 false What constitutes a complete Job Training Program application? 26.32 Section 26.32 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR HUMAN SERVICES JOB PLACEMENT AND TRAINING PROGRAM Training Services § 26.32 What constitutes a complete Job...

  8. 25 CFR 26.32 - What constitutes a complete Job Training Program application?

    Code of Federal Regulations, 2013 CFR

    2013-04-01

    ... 25 Indians 1 2013-04-01 2013-04-01 false What constitutes a complete Job Training Program application? 26.32 Section 26.32 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR HUMAN SERVICES JOB PLACEMENT AND TRAINING PROGRAM Training Services § 26.32 What constitutes a complete Job...

  9. 7 CFR 766.106 - Agency notification of decision regarding a complete application.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 7 Agriculture 7 2010-01-01 2010-01-01 false Agency notification of decision regarding a complete... Programs § 766.106 Agency notification of decision regarding a complete application. The Agency will send the borrower notification of the Agency's decision within 60 calendar days after receiving a...

  10. Intelligent instance selection of data streams for smart sensor applications

    NASA Astrophysics Data System (ADS)

    Galan, Magdiel; Liu, Huan; Torkkola, Kari

    2005-03-01

    The purpose of our work is to mine streaming data from a variety of hundreds of automotive sensors in order to develop methods to minimize driver distraction from in-vehicle communications and entertainment systems such as audio/video devices, cellphones, PDAs, Fax, eMail, and other messaging devices. Our endeavor is to create a safer driving environment, by providing assistance in the form of warning, delaying, or re-routing, incoming signals if the assistance system detects that the driver is performing, or is about to perform, a critical maneuver, such as passing, changing lanes, making a turn, or during a sudden evasive maneuver. To accomplish this, our assistance system relies on maneuver detection by continuously evaluating various embedded vehicle sensors, such as speed, steering, acceleration, lane distance, and many others, combined into representing an instance of the "state" of the vehicle. One key issue is how to effectively and efficiently monitor many sensors with constant data streams. Data streams have their unique characteristics and may produce data that is not relevant or pertinent to a maneuver. We propose an adaptive sampling method that takes advantage of these unique characteristics and develop algorithms that attempt to select relevant and important instances to determine which sensors to monitor and how to provide quick and effective responses to this type of mission critical situations. This work can be extended to many similar sensor applications with data streams.

  11. Analysis and application of intelligence network based on FTTH

    NASA Astrophysics Data System (ADS)

    Feng, Xiancheng; Yun, Xiang

    2008-12-01

    With the continued rapid growth of Internet, new network service emerges in endless stream, especially the increase of network game, meeting TV, video on demand, etc. The bandwidth requirement increase continuously. Network technique, optical device technical development is swift and violent. FTTH supports all present and future service with enormous bandwidth, including traditional telecommunication service, traditional data service and traditional TV service, and the future digital TV and VOD. With huge bandwidth of FTTH, it wins the final solution of broadband network, becomes the final goal of development of optical access network. Firstly, it introduces the main service which FTTH supports, main analysis key technology such as FTTH system composition way, topological structure, multiplexing, optical cable and device. It focus two kinds of realization methods - PON, P2P technology. Then it proposed that the solution of FTTH can support comprehensive access (service such as broadband data, voice, video and narrowband private line). Finally, it shows the engineering application for FTTH in the district and building. It brings enormous economic benefits and social benefit.

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

    NASA Technical Reports Server (NTRS)

    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

  13. Building energy modeling for green architecture and intelligent dashboard applications

    NASA Astrophysics Data System (ADS)

    DeBlois, Justin

    Buildings are responsible for 40% of the carbon emissions in the United States. Energy efficiency in this sector is key to reducing overall greenhouse gas emissions. This work studied the passive technique called the roof solar chimney for reducing the cooling load in homes architecturally. Three models of the chimney were created: a zonal building energy model, computational fluid dynamics model, and numerical analytic model. The study estimated the error introduced to the building energy model (BEM) through key assumptions, and then used a sensitivity analysis to examine the impact on the model outputs. The conclusion was that the error in the building energy model is small enough to use it for building simulation reliably. Further studies simulated the roof solar chimney in a whole building, integrated into one side of the roof. Comparisons were made between high and low efficiency constructions, and three ventilation strategies. The results showed that in four US climates, the roof solar chimney results in significant cooling load energy savings of up to 90%. After developing this new method for the small scale representation of a passive architecture technique in BEM, the study expanded the scope to address a fundamental issue in modeling - the implementation of the uncertainty from and improvement of occupant behavior. This is believed to be one of the weakest links in both accurate modeling and proper, energy efficient building operation. A calibrated model of the Mascaro Center for Sustainable Innovation's LEED Gold, 3,400 m2 building was created. Then algorithms were developed for integration to the building's dashboard application that show the occupant the energy savings for a variety of behaviors in real time. An approach using neural networks to act on real-time building automation system data was found to be the most accurate and efficient way to predict the current energy savings for each scenario. A stochastic study examined the impact of the

  14. Rainbows of Intelligence. Exploring How Students Learn.

    ERIC Educational Resources Information Center

    Teele, Sue

    This book offers practical applications for exploring multiple intelligences in the classroom to help each student express his or her own personal learning rainbow. Special features of the book include seven complete lesson plans ready to be adapted to any grade level; objectives, activities, and applications that meet U.S. and California…

  15. Applications of Artificial Intelligence to Information Search and Retrieval: The Development and Testing of an Intelligent Technical Information System.

    ERIC Educational Resources Information Center

    Harvey, Francis A.

    This paper describes the evolution and development of an intelligent information system, i.e., a knowledge base for steel structures being undertaken as part of the Technical Information Center for Steel Structures at Lehigh University's Center of Advanced Technology for Large Structural Systems (ATLSS). The initial development of the Technical…

  16. Examination of Applicant Profiles for Admission into and Completion of an Online Secondary Teacher Certification Program

    ERIC Educational Resources Information Center

    Denton, Jon J.; Davis, Trina J.; Capraro, Robert M.; Smith, Ben L.; Beason, Lynn; Graham, B. Diane; Strader, R. Arlen

    2007-01-01

    The purpose of this research was to determine whether particular biographic and academic characteristics would predict whether an applicant would matriculate into and successfully complete an online secondary teacher certification program for Texas public schools. Extensive biographic data on applicants were compiled into a program data base…

  17. 7 CFR 1944.410 - Processing preapplications, applications, and completing grant dockets.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... Technical Assistance Grants § 1944.410 Processing preapplications, applications, and completing grant dockets. (a) Form SF-424, “Application for Federal Assistance.” Form SF-424 in an original and one copy...-help assistance. Evidence should be provided that the communities support the activity and that...

  18. Knowledge Based Concepts and Artificial Intelligence: Applications to Guidance and Control.

    DTIC Science & Technology

    1987-08-01

    Princeton, 1976 . 11. Negoita, C.V ., "Expert Systems and Fuzzy, Systems," Benjamin/Cummings, Menlo Park, CA, 1985. 12. Prade, H. "A Computational...Approach to Approximate and Plausible Reasoning with Applications to Expert Systems," IEEE Transactions on Pattern Analysis and Machine Intelligence (3...ruslfe, erese At tire pr-en t11Ine, these data Ire entereed cI, the croil le by Lte operitre in replc to ’) -es triso aed by th e s ys tes. They could

  19. An Application of Artificial Intelligence to the Implementation of Electronic Commerce

    NASA Astrophysics Data System (ADS)

    Srivastava, Anoop Kumar

    In this paper, we present an application of Artificial Intelligence (AI) to the implementation of Electronic Commerce. We provide a multi autonomous agent based framework. Our agent based architecture leads to flexible design of a spectrum of multiagent system (MAS) by distributing computation and by providing a unified interface to data and programs. Autonomous agents are intelligent enough and provide autonomy, simplicity of communication, computation, and a well developed semantics. The steps of design and implementation are discussed in depth, structure of Electronic Marketplace, an ontology, the agent model, and interaction pattern between agents is given. We have developed mechanisms for coordination between agents using a language, which is called Virtual Enterprise Modeling Language (VEML). VEML is a integration of Java and Knowledge Query and Manipulation Language (KQML). VEML provides application programmers with potential to globally develop different kinds of MAS based on their requirements and applications. We have implemented a multi autonomous agent based system called VE System. We demonstrate efficacy of our system by discussing experimental results and its salient features.

  20. Intelligent Sensors: Strategies for an Integrated Systems Approach

    NASA Technical Reports Server (NTRS)

    Chitikeshi, Sanjeevi; Mahajan, Ajay; Bandhil, Pavan; Utterbach, Lucas; Figueroa, Fernando

    2005-01-01

    This paper proposes the development of intelligent sensors as an integrated systems approach, i.e. one treats the sensors as a complete system with its own sensing hardware (the traditional sensor), A/D converters, processing and storage capabilities, software drivers, self-assessment algorithms, communication protocols and evolutionary methodologies that allow them to get better with time. Under a project being undertaken at the Stennis Space Center, an integrated framework is being developed for the intelligent monitoring of smart elements. These smart elements can be sensors, actuators or other devices. The immediate application is the monitoring of the rocket test stands, but the technology should be generally applicable to the Intelligent Systems Health Monitoring (ISHM) vision. This paper outlines progress made in the development of intelligent sensors by describing the work done till date on Physical Intelligent Sensors (PIS) and Virtual Intelligent Sensors (VIS).

  1. Proceedings of the thirteenth national conference on artificial intelligence and the eighth innovative applications of artificial intelligence conference. Volume 1 and 2

    SciTech Connect

    1996-12-31

    This report contain papers from the Thirteenth National Conference on Artificial Intelligence and the Eighth Conference on Innovative Applications of Artificial Intelligence collected in two volumes. General areas of research for these papers are: interaction; internet agents; multiagent learning; multiagent problem solving; negotiation and coalition; AI in art and entertainment; constraint satisfaction; data consistency; game-tree search; phase transition; search control; search and learning; stochastic search; temporal reasoning; education; information retrieval and natural language processing; knowledge-based systems; knowledge compilation; knowledge representation; belief and belief revision; description logics and probabilities reasoning; knowledge-base and context; nonmonotonic reasoning; reasoning about action; learning; mobile robots; model-based reasoning; natural language; preception; planning; rule-based reasoning and connectionism; uncertainty; robot competition; student abstracts; and case studies.

  2. 37 CFR 1.53 - Application number, filing date, and completion of application.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... requirements of §§ 1.821 through 1.825 regarding application disclosures containing nucleotide and/or amino acid sequences are not mandatory for provisional applications. (d) Application filing...

  3. Space Applications of Automation, Robotics and Machine Intelligence Systems (ARAMIS). Volume 1: Executive Summary

    NASA Technical Reports Server (NTRS)

    Miller, R. H.; Minsky, M. L.; Smith, D. B. S.

    1982-01-01

    Potential applications of automation, robotics, and machine intelligence systems (ARAMIS) to space activities, and to their related ground support functions are explored. The specific tasks which will be required by future space projects are identified. ARAMIS options which are candidates for those space project tasks and the relative merits of these options are defined and evaluated. Promising applications of ARAMIS and specific areas for further research are identified. The ARAMIS options defined and researched by the study group span the range from fully human to fully machine, including a number of intermediate options (e.g., humans assisted by computers, and various levels of teleoperation). By including this spectrum, the study searches for the optimum mix of humans and machines for space project tasks.

  4. Physical Intelligent Sensors

    NASA Technical Reports Server (NTRS)

    Bandhil, Pavan; Chitikeshi, Sanjeevi; Mahajan, Ajay; Figueroa, Fernando

    2005-01-01

    This paper proposes the development of intelligent sensors as part of an integrated systems approach, i.e. one treats the sensors as a complete system with its own sensing hardware (the traditional sensor), A/D converters, processing and storage capabilities, software drivers, self-assessment algorithms, communication protocols and evolutionary methodologies that allow them to get better with time. Under a project being undertaken at the NASA s Stennis Space Center, an integrated framework is being developed for the intelligent monitoring of smart elements. These smart elements can be sensors, actuators or other devices. The immediate application is the monitoring of the rocket test stands, but the technology should be generally applicable to the Integrated Systems Health Monitoring (ISHM) vision. This paper outlines progress made in the development of intelligent sensors by describing the work done till date on Physical Intelligent Sensors (PIS). The PIS discussed here consists of a thermocouple used to read temperature in an analog form which is then converted into digital values. A microprocessor collects the sensor readings and runs numerous embedded event detection routines on the collected data and if any event is detected, it is reported, stored and sent to a remote system through an Ethernet connection. Hence the output of the PIS is data coupled with confidence factor in the reliability of the data which leads to information on the health of the sensor at all times. All protocols are consistent with IEEE 1451.X standards. This work lays the foundation for the next generation of smart devices that have embedded intelligence for distributed decision making capabilities.

  5. Application of a Cognitive Model for Army Training: Handbook for Strategic Intelligence Analysis.

    ERIC Educational Resources Information Center

    Phelps, Ruth H.; And Others

    This technical report has two purposes. One purpose is to present an end product of a multi-year research investigation into the cognitive skills involved in performing intelligence analysis. The product is a "Handbook for Strategic Intelligence Analysis" developed for the United States Army Intelligence and Threat Analysis Center…

  6. Application of an Artificial Intelligence Method for Velocity Calibration and Events Location in Microseismic Monitoring

    NASA Astrophysics Data System (ADS)

    Yang, Y.; Chen, X.

    2013-12-01

    Good quality hydraulic fracture maps are heavily dependent upon the best possible velocity structure. Particle Swarm Optimization inversion scheme, an artificial intelligence technique for velocity calibration and events location could serve as a viable option, able to produce high quality data. Using perforation data to recalibrate the 1D isotropic velocity model derived from dipole sonic logs (or even without them), we are able to get the initial velocity model used for consequential events location. Velocity parameters can be inverted, as well as the thickness of the layer, through an iterative procedure. Performing inversion without integrating available data is unlikely to produce reliable results; especially if there are only one perforation shot and a single poor-layer-covered array along with low signal/noise ratio signal. The inversion method was validated via simulations and compared to the Fast Simulated Annealing approach and the Conjugate Gradient method. Further velocity model refinement can be accomplished while calculating events location during the iterative procedure minimizing the residuals from both sides. This artificial intelligence technique also displays promising application to the joint inversion of large-scale seismic activities data.

  7. Intelligent Assistive Technology Applications to Dementia Care: Current Capabilities, Limitations, and Future Challenges

    PubMed Central

    Bharucha, Ashok J.; Anand, Vivek; Forlizzi, Jodi; Dew, Mary Amanda; Reynolds, Charles F.; Stevens, Scott; Wactlar, Howard

    2009-01-01

    The number of older Americans afflicted by Alzheimer disease and related dementias will triple to 13 million persons by 2050, thus greatly increasing healthcare needs. An approach to this emerging crisis is the development and deployment of intelligent assistive technologies that compensate for the specific physical and cognitive deficits of older adults with dementia, and thereby also reduce caregiver burden. The authors conducted an extensive search of the computer science, engineering, and medical databases to review intelligent cognitive devices, physiologic and environmental sensors, and advanced integrated sensor networks that may find future applications in dementia care. Review of the extant literature reveals an overwhelming focus on the physical disability of younger persons with typically nonprogressive anoxic and traumatic brain injuries, with few clinical studies specifically involving persons with dementia. A discussion of the specific capabilities, strengths, and limitations of each technology is followed by an overview of research methodological challenges that must be addressed to achieve measurable progress to meet the healthcare needs of an aging America. PMID:18849532

  8. Application of Medical Intelligence Prep of the Environment: A Review of Operational Vignettes.

    PubMed

    Caci, Jennifer B

    2015-01-01

    Medical intelligence is an underused or sometimes misapplied tool in the protection of our Soldiers and the execution of nonkinetic operations. The somewhat improved infrastructure of the operational environment in Iraq and Afghanistan led to an inevitable sense of complacency in regard to the threat of disease nonbattle injury (DNBI). The picture changed somewhat in 2010 with the advent of the village stability program and the establishment of SOF camps in austere locations with degraded living situations rife with exposure risks. In addition, the increasing deployments to unstable locations around the globe, reminiscent of typical Special Operations Forces (SOF) missions before the Global War on Terrorism, indicate a need for better preparation for deployment from the standpoint of disease risk and force health protection. A knowledge gap has developed because we simply did not need to apply as stringent an evaluation of DNBI risk in environments where improved life support mitigated the risk for us. The tools necessary to decrease or even eliminate the impact of DNBI exist but they must be shared and implemented. This article will present four vignettes from current and former SOF Force Health Protection personnel starting with a simple method of executing Medical Intelligence Prep of the Environment (MIPOE) and highlighting situations in which it either was or could have been implemented to mitigate risk and decrease the impact on mission accomplishment and individual operators. A follow-on article will present vignettes of the successful application of MIPOE to nonkinetic operations.

  9. The Application of Integrated Knowledge-based Systems for the Biomedical Risk Assessment Intelligent Network (BRAIN)

    NASA Technical Reports Server (NTRS)

    Loftin, Karin C.; Ly, Bebe; Webster, Laurie; Verlander, James; Taylor, Gerald R.; Riley, Gary; Culbert, Chris; Holden, Tina; Rudisill, Marianne

    1993-01-01

    One of NASA's goals for long duration space flight is to maintain acceptable levels of crew health, safety, and performance. One way of meeting this goal is through the Biomedical Risk Assessment Intelligent Network (BRAIN), an integrated network of both human and computer elements. The BRAIN will function as an advisor to flight surgeons by assessing the risk of in-flight biomedical problems and recommending appropriate countermeasures. This paper describes the joint effort among various NASA elements to develop BRAIN and an Infectious Disease Risk Assessment (IDRA) prototype. The implementation of this effort addresses the technological aspects of the following: (1) knowledge acquisition; (2) integration of IDRA components; (3) use of expert systems to automate the biomedical prediction process; (4) development of a user-friendly interface; and (5) integration of the IDRA prototype and Exercise Countermeasures Intelligent System (ExerCISys). Because the C Language, CLIPS (the C Language Integrated Production System), and the X-Window System were portable and easily integrated, they were chosen as the tools for the initial IDRA prototype. The feasibility was tested by developing an IDRA prototype that predicts the individual risk of influenza. The application of knowledge-based systems to risk assessment is of great market value to the medical technology industry.

  10. Space-Related Applications of Intelligent Control: Which Algorithm to Choose? (Theoretical Analysis of the Problem)

    NASA Technical Reports Server (NTRS)

    Kreinovich, Vladik

    1996-01-01

    For a space mission to be successful it is vitally important to have a good control strategy. For example, with the Space Shuttle it is necessary to guarantee the success and smoothness of docking, the smoothness and fuel efficiency of trajectory control, etc. For an automated planetary mission it is important to control the spacecraft's trajectory, and after that, to control the planetary rover so that it would be operable for the longest possible period of time. In many complicated control situations, traditional methods of control theory are difficult or even impossible to apply. In general, in uncertain situations, where no routine methods are directly applicable, we must rely on the creativity and skill of the human operators. In order to simulate these experts, an intelligent control methodology must be developed. The research objectives of this project were: to analyze existing control techniques; to find out which of these techniques is the best with respect to the basic optimality criteria (stability, smoothness, robustness); and, if for some problems, none of the existing techniques is satisfactory, to design new, better intelligent control techniques.

  11. 12 CFR 390.128 - If the FDIC requests additional information to complete my application, how will it process my...

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... complete my application, how will it process my application? 390.128 Section 390.128 Banks and Banking... additional information to complete my application, how will it process my application? (a) You may use the... will notify you that it has extended the period before the end of the initial 15-day period and...

  12. Acid-soluble magnesia cement; New applications in completion and workover operations

    SciTech Connect

    Sweatman, R.E.; Scoggins, W.C. )

    1990-11-01

    Acid-soluble magnesia cement (MC) was used in production zones to plug perforations temporarily to reduce brine losses during completion and workover operations. This has resulted in substantial savings for operators. The cement has also been used to reduce potential formation damage. This paper describes some of the characteristics of the cement, field applications, and results.

  13. 78 FR 4868 - Notice of Deadline for Submitting Completed Applications To Begin Participation in the Tribal...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-01-23

    ... in the Tribal Self-Governance Program in Fiscal Year 2014 or Calendar Year 2014 AGENCY: Bureau of... Self-Governance (OSG) establishes a March 1, 2013, deadline for Indian tribes/consortia to submit completed applications to begin participation in the tribal self-governance program in fiscal year 2014...

  14. 7 CFR 1944.410 - Processing preapplications, applications, and completing grant dockets.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... SERVICE AGENCY, DEPARTMENT OF AGRICULTURE (CONTINUED) PROGRAM REGULATIONS (CONTINUED) HOUSING Self-Help Technical Assistance Grants § 1944.410 Processing preapplications, applications, and completing grant...-help assistance. Evidence should be provided that the communities support the activity and that...

  15. 7 CFR 1944.410 - Processing preapplications, applications, and completing grant dockets.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... SERVICE AGENCY, DEPARTMENT OF AGRICULTURE (CONTINUED) PROGRAM REGULATIONS (CONTINUED) HOUSING Self-Help Technical Assistance Grants § 1944.410 Processing preapplications, applications, and completing grant...-help assistance. Evidence should be provided that the communities support the activity and that...

  16. 7 CFR 1944.410 - Processing preapplications, applications, and completing grant dockets.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... SERVICE AGENCY, DEPARTMENT OF AGRICULTURE (CONTINUED) PROGRAM REGULATIONS (CONTINUED) HOUSING Self-Help Technical Assistance Grants § 1944.410 Processing preapplications, applications, and completing grant...-help assistance. Evidence should be provided that the communities support the activity and that...

  17. 24 CFR 266.310 - Insurance of advances or insurance upon completion; applicability of requirements.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... 24 Housing and Urban Development 2 2010-04-01 2010-04-01 false Insurance of advances or insurance upon completion; applicability of requirements. 266.310 Section 266.310 Housing and Urban Development Regulations Relating to Housing and Urban Development (Continued) OFFICE OF ASSISTANT SECRETARY FOR...

  18. 40 CFR 1045.210 - May I get preliminary approval before I complete my application?

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 40 Protection of Environment 32 2010-07-01 2010-07-01 false May I get preliminary approval before I complete my application? 1045.210 Section 1045.210 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR POLLUTION CONTROLS CONTROL OF EMISSIONS FROM SPARK-IGNITION...

  19. 40 CFR 1045.210 - May I get preliminary approval before I complete my application?

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 40 Protection of Environment 33 2014-07-01 2014-07-01 false May I get preliminary approval before I complete my application? 1045.210 Section 1045.210 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR POLLUTION CONTROLS CONTROL OF EMISSIONS FROM SPARK-IGNITION...

  20. 40 CFR 1045.210 - May I get preliminary approval before I complete my application?

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 40 Protection of Environment 34 2012-07-01 2012-07-01 false May I get preliminary approval before I complete my application? 1045.210 Section 1045.210 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR POLLUTION CONTROLS CONTROL OF EMISSIONS FROM SPARK-IGNITION...

  1. 40 CFR 1045.210 - May I get preliminary approval before I complete my application?

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 40 Protection of Environment 33 2011-07-01 2011-07-01 false May I get preliminary approval before I complete my application? 1045.210 Section 1045.210 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR POLLUTION CONTROLS CONTROL OF EMISSIONS FROM SPARK-IGNITION...

  2. 40 CFR 1045.210 - May I get preliminary approval before I complete my application?

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 40 Protection of Environment 34 2013-07-01 2013-07-01 false May I get preliminary approval before I complete my application? 1045.210 Section 1045.210 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR POLLUTION CONTROLS CONTROL OF EMISSIONS FROM SPARK-IGNITION...

  3. Intelligent robots and computer vision

    SciTech Connect

    Casasent, D.P.

    1985-01-01

    This book presents the papers given at a conference which examined artificial intelligence and image processing in relation to robotics. Topics considered at the conference included feature extraction and pattern recognition for computer vision, image processing for intelligent robotics, robot sensors, image understanding and artificial intelligence, optical processing techniques in robotic applications, robot languages and programming, processor architectures for computer vision, mobile robots, multisensor fusion, three-dimensional modeling and recognition, intelligent robots applications, and intelligent robot systems.

  4. AI at Ames: Artificial Intelligence research and application at NASA Ames Research Center, Moffett Field, California, February 1985

    NASA Technical Reports Server (NTRS)

    Andrews, Alison E. (Editor)

    1985-01-01

    Charts are given that illustrate function versus domain for artificial intelligence (AI) applications and interests and research area versus project number for AI research. A list is given of project titles with associated project numbers and page numbers. Also, project descriptions, including title, participants, and status are given.

  5. THE ROLE OF PLAUSIBLE REASONING WITHIN MILITARY INTELLIGENCE: AN APPLICATION OF BAYES THEOREM AS A MODEL FOR PROBLEM SOLVING,

    DTIC Science & Technology

    followed with the introduction of Bayes Theorem as a model for intelligence analysis. The conjecture is made that Bayes Theorem can also serve as the...nucleus of a formal methodology. The application of Bayes Theorem to several types of problems is demonstrated. However, the implementation of such a

  6. Application of Artificial Intelligence (AI) programming techniques to tactical guidance for fighter aircraft

    NASA Technical Reports Server (NTRS)

    Mcmanus, John W.; Goodrich, Kenneth H.

    1989-01-01

    A research program investigating the use of Artificial Intelligence (AI) programming techniques to aid in the development of a Tactical Decision Generator (TDG) for Within-Visual-Range (WVR) air combat engagements is discussed. The application of AI methods for development and implementation of the TDG is presented. The history of the Adaptive Maneuvering Logic (AML) program is traced and current versions of the (AML) program is traced and current versions of the AML program are compared and contrasted with the TDG system. The Knowledge-Based Systems (KBS) used by the TDG to aid in the decision-making process are outlined and example rules are presented. The results of tests to evaluate the performance of the TDG against a version of AML and against human pilots in the Langley Differential Maneuvering Simulator (DMS) are presented. To date, these results have shown significant performance gains in one-versus-one air combat engagements.

  7. An intelligent data processing system for a wireless sensor node for health care application

    NASA Astrophysics Data System (ADS)

    Le, Hai Phuong; Singh, Jugdutt

    2005-12-01

    This paper presents the design and implementation of an intelligent data processing system for a wireless sensor node for healthcare application. The data processing system comprises of front-end sensors and a data acquisition (DAQ) system for signal processing. A smart property for the system has been developed so that it automatically selects the optimum method to 'condition' the biosignals, depending on the input channel requirements for better system accuracy. Moreover, it correspondingly selects an optimal sampling speed for each input channel to reduce the system power consumption, data storage and cost. Results show that a 47% reduction in power consumption is achieved and the aliasing error is reduced by 31% when the smart data processing architecture is used instead of traditional fix-rate data processing system.

  8. Voxelwise spectral diffusional connectivity and its applications to Alzheimer's disease and intelligence prediction.

    PubMed

    Li, Junning; Jin, Yan; Shi, Yonggang; Dinov, Ivo D; Wang, Danny J; Toga, Arthur W; Thompson, Paul M

    2013-01-01

    Human brain connectivity can be studied using graph theory. Many connectivity studies parcellate the brain into regions and count fibres extracted between them. The resulting network analyses require validation of the tractography, as well as region and parameter selection. Here we investigate whole brain connectivity from a different perspective. We propose a mathematical formulation based on studying the eigenvalues of the Laplacian matrix of the diffusion tensor field at the voxel level. This voxelwise matrix has over a million parameters, but we derive the Kirchhoff complexity and eigen-spectrum through elegant mathematical theorems, without heavy computation. We use these novel measures to accurately estimate the voxelwise connectivity in multiple biomedical applications such as Alzheimer's disease and intelligence prediction.

  9. Intelligent Fasteners

    NASA Technical Reports Server (NTRS)

    1997-01-01

    Under a Small Business Innovation Research contract from Marshall Space Flight Center, Ultrafast, Inc. developed the world's first, high-temperature resistant, "intelligent" fastener. NASA needed a critical-fastening appraisal and validation of spacecraft segments that are coupled together in space. The intelligent-bolt technology deletes the self-defeating procedure of having to untighten the fastener, and thus upset the joint, during inspection and maintenance. The Ultrafast solution yielded an innovation that is likely to revolutionize manufacturing assembly, particularly the automobile industry. Other areas of application range from aircraft, computers and fork-lifts to offshore platforms, buildings, and bridges.

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

    NASA Astrophysics Data System (ADS)

    Chen, Zemin

    2007-06-01

    of complexity science research and the conception of complexity feature to reveal the complexity features of LUCC research in urbanization process. Urban space system is a complex economic and cultural phenomenon as well as a social process, is the comprehensive characterization of urban society, economy and culture, and is a complex space system formed by society, economy and nature. It has dissipative structure characteristics, such as opening, dynamics, self-organization, non-balance etc. Traditional model cannot simulate these social, economic and natural driving forces of LUCC including main feedback relation from LUCC to driving force. 2. Establishment of Markov extended model of LUCC analog research in urbanization process. Firstly, use traditional LUCC research model to compute change speed of regional land use through calculating dynamic degree, exploitation degree and consumption degree of land use; use the theory of fuzzy set to rewrite the traditional Markov model, establish structure transfer matrix of land use, forecast and analyze dynamic change and development trend of land use, and present noticeable problems and corresponding measures in urbanization process according to research results. 3. Application of intelligent computation research and complexity science research method in LUCC analog model in urbanization process. On the basis of detailed elaboration of the theory and the model of LUCC research in urbanization process, analyze the problems of existing model used in LUCC research (namely, difficult to resolve many complexity phenomena in complex urban space system), discuss possible structure realization forms of LUCC analog research in combination with the theories of intelligent computation and complexity science research. Perform application analysis on BP artificial neural network and genetic algorithms of intelligent computation and CA model and MAS technology of complexity science research, discuss their theoretical origins and their

  11. 12 CFR 516.220 - If OTS requests additional information to complete my application, how will it process my...

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... complete my application, how will it process my application? 516.220 Section 516.220 Banks and Banking... Standard Treatment § 516.220 If OTS requests additional information to complete my application, how will it... your response. OTS will notify you that it has extended the period before the end of the initial...

  12. 12 CFR 116.220 - If the OCC requests additional information to complete my application, how will it process my...

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... complete my application, how will it process my application? 116.220 Section 116.220 Banks and Banking... Treatment § 116.220 If the OCC requests additional information to complete my application, how will it... that it has extended the period before the end of the initial 15-day period and will briefly...

  13. 12 CFR 516.220 - If OTS requests additional information to complete my application, how will it process my...

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... complete my application, how will it process my application? 516.220 Section 516.220 Banks and Banking... Standard Treatment § 516.220 If OTS requests additional information to complete my application, how will it... your response. OTS will notify you that it has extended the period before the end of the initial...

  14. Application of PLC in digitization control intelligence can-body high-speed resitance welding machine

    NASA Astrophysics Data System (ADS)

    Chen, Shaobo; Zhang, Ziqiang; Yan, Qiusheng; Zheng, Zhidan; Li, Yang; Zhang, Tianyu

    2003-09-01

    The application of position servo synchronously tracking system constituted with PLC and general AC servo system in digitalization control intelligence can-body high-speed resistance welding machine is introduced in this paper. By studying the digitalization control system of automatic can-body resistance welding machine, technologic upgrade of product is made, and application of PLC in controlling general AC servo motor multi-axes ganged system to replace conventional mechanical ganged mechanism is developed. It makes the coordination of movements between machine actions can be ensured and every correlative actions can quickly and precisely run synchronously, quondam mechanical branching driving can be replaced, and "mechanical locking" between quondam movements can be changed to the "electronic locking," complex mechanical structures such as cams, stepless speed changing machines and universal joints and so on can be omitted, so the working capability of whole machine can effectively be enhanced and synchronization between the machine actions can rapidly be reached. The application realizes digitalization process control, enhances reliability, stability and manufacturing efficiency of the machine, and reduces the manufacturing cost.

  15. STAR- A SIMPLE TOOL FOR AUTOMATED REASONING SUPPORTING HYBRID APPLICATIONS OF ARTIFICIAL INTELLIGENCE (UNIX VERSION)

    NASA Technical Reports Server (NTRS)

    Borchardt, G. C.

    1994-01-01

    The Simple Tool for Automated Reasoning program (STAR) is an interactive, interpreted programming language for the development and operation of artificial intelligence (AI) application systems. STAR provides an environment for integrating traditional AI symbolic processing with functions and data structures defined in compiled languages such as C, FORTRAN and PASCAL. This type of integration occurs in a number of AI applications including interpretation of numerical sensor data, construction of intelligent user interfaces to existing compiled software packages, and coupling AI techniques with numerical simulation techniques and control systems software. The STAR language was created as part of an AI project for the evaluation of imaging spectrometer data at NASA's Jet Propulsion Laboratory. Programming in STAR is similar to other symbolic processing languages such as LISP and CLIP. STAR includes seven primitive data types and associated operations for the manipulation of these structures. A semantic network is used to organize data in STAR, with capabilities for inheritance of values and generation of side effects. The AI knowledge base of STAR can be a simple repository of records or it can be a highly interdependent association of implicit and explicit components. The symbolic processing environment of STAR may be extended by linking the interpreter with functions defined in conventional compiled languages. These external routines interact with STAR through function calls in either direction, and through the exchange of references to data structures. The hybrid knowledge base may thus be accessed and processed in general by either side of the application. STAR is initially used to link externally compiled routines and data structures. It is then invoked to interpret the STAR rules and symbolic structures. In a typical interactive session, the user enters an expression to be evaluated, STAR parses the input, evaluates the expression, performs any file input

  16. STAR- A SIMPLE TOOL FOR AUTOMATED REASONING SUPPORTING HYBRID APPLICATIONS OF ARTIFICIAL INTELLIGENCE (DEC VAX VERSION)

    NASA Technical Reports Server (NTRS)

    Borchardt, G. C.

    1994-01-01

    The Simple Tool for Automated Reasoning program (STAR) is an interactive, interpreted programming language for the development and operation of artificial intelligence (AI) application systems. STAR provides an environment for integrating traditional AI symbolic processing with functions and data structures defined in compiled languages such as C, FORTRAN and PASCAL. This type of integration occurs in a number of AI applications including interpretation of numerical sensor data, construction of intelligent user interfaces to existing compiled software packages, and coupling AI techniques with numerical simulation techniques and control systems software. The STAR language was created as part of an AI project for the evaluation of imaging spectrometer data at NASA's Jet Propulsion Laboratory. Programming in STAR is similar to other symbolic processing languages such as LISP and CLIP. STAR includes seven primitive data types and associated operations for the manipulation of these structures. A semantic network is used to organize data in STAR, with capabilities for inheritance of values and generation of side effects. The AI knowledge base of STAR can be a simple repository of records or it can be a highly interdependent association of implicit and explicit components. The symbolic processing environment of STAR may be extended by linking the interpreter with functions defined in conventional compiled languages. These external routines interact with STAR through function calls in either direction, and through the exchange of references to data structures. The hybrid knowledge base may thus be accessed and processed in general by either side of the application. STAR is initially used to link externally compiled routines and data structures. It is then invoked to interpret the STAR rules and symbolic structures. In a typical interactive session, the user enters an expression to be evaluated, STAR parses the input, evaluates the expression, performs any file input

  17. Computational intelligence in gait research: a perspective on current applications and future challenges.

    PubMed

    Lai, Daniel T H; Begg, Rezaul K; Palaniswami, Marimuthu

    2009-09-01

    Our mobility is an important daily requirement so much so that any disruption to it severely degrades our perceived quality of life. Studies in gait and human movement sciences, therefore, play a significant role in maintaining the well-being of our mobility. Current gait analysis involves numerous interdependent gait parameters that are difficult to adequately interpret due to the large volume of recorded data and lengthy assessment times in gait laboratories. A proposed solution to these problems is computational intelligence (CI), which is an emerging paradigm in biomedical engineering most notably in pathology detection and prosthesis design. The integration of CI technology in gait systems facilitates studies in disorders caused by lower limb defects, cerebral disorders, and aging effects by learning data relationships through a combination of signal processing and machine learning techniques. Learning paradigms, such as supervised learning, unsupervised learning, and fuzzy and evolutionary algorithms, provide advanced modeling capabilities for biomechanical systems that in the past have relied heavily on statistical analysis. CI offers the ability to investigate nonlinear data relationships, enhance data interpretation, design more efficient diagnostic methods, and extrapolate model functionality. These are envisioned to result in more cost-effective, efficient, and easy-to-use systems, which would address global shortages in medical personnel and rising medical costs. This paper surveys current signal processing and CI methodologies followed by gait applications ranging from normal gait studies and disorder detection to artificial gait simulation. We review recent systems focusing on the existing challenges and issues involved in making them successful. We also examine new research in sensor technologies for gait that could be combined with these intelligent systems to develop more effective healthcare solutions.

  18. Assessment of intelligence in the preschool period.

    PubMed

    Baron, Ida Sue; Leonberger, Katherine Ann

    2012-12-01

    Intelligence testing has a long and revered history in psychological measurement in childhood. Yet, the years between infancy and early childhood have been understudied with respect to emergent intellectual and cognitive functioning. Factor analytic models of intelligence that have demonstrated applicability when testing older children and adults often appear inadequate in the preschool period. As more is learned about brain development in typically developing children during these crucial years the distinctive relationships between neural system development and intellectual functioning are being revealed more completely. The aim of this paper was to provide a brief historical background as a foundation for discussion of intelligence testing, review what is known about the dynamic course of brain development during the preschool years, acknowledge limitations specific to intelligence testing in young children, and provide support for maintaining a comprehensive neuropsychological perspective that considers the wider range of variables that influence intellectual functioning in the preschool period.

  19. MagIC: a textile system for vital signs monitoring. Advancement in design and embedded intelligence for daily life applications.

    PubMed

    Di Rienzo, Marco; Rizzo, Francesco; Meriggi, Paolo; Castiglioni, Paolo; Mazzoleni, Paolo; Ferrarin, Maurizio; Ferratini, Maurizio

    2007-01-01

    We recently developed a textile-based system for the unobtrusive assessment of vital signs. The system, named MagIC, was originally designed to collect data in elderly people and cardiac patients while living in a confined environment. Extending the area of application of MagIC from clinics to daily life meant to pay particular attention to the garment design and to the amount of intelligence embedded into the system. In this paper we addressed both these issues by illustrating 1) a new methodology we are developing to help the design of smart garments for daily life applications and 2) an example of embedded intelligence developed for an application of MagIC in ergonomics.

  20. Preservice Teachers' Book Choices: Does Dominant Intelligence Influence Selection?

    ERIC Educational Resources Information Center

    Frederick, Lynda; Giles, Rebecca McMahon

    This study investigated the relationship between preservice teachers' dominant intelligence(s) and picture book preferences. Participants completed the quiz, "Where Does Your True Intelligence Lie?" to determine their dominant intelligence(s). They also reviewed and ranked 21 picture books, chosen to represent each of the seven intelligences,…

  1. 37 CFR 1.53 - Application number, filing date, and completion of application.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... § 1.16(l), and the examination fee as set forth in § 1.16(p). (4) An application filed under this... paragraph was filed, except by way of correction of inventorship under § 1.48. (5) Any new change must be... surcharge if required by § 1.16(f) to avoid abandonment. (3) If the excess claims fees required by §§...

  2. A complete software application for automatic registration of x-ray mammography and magnetic resonance images

    SciTech Connect

    Solves-Llorens, J. A.; Rupérez, M. J. Monserrat, C.; Lloret, M.

    2014-08-15

    Purpose: This work presents a complete and automatic software application to aid radiologists in breast cancer diagnosis. The application is a fully automated method that performs a complete registration of magnetic resonance (MR) images and x-ray (XR) images in both directions (from MR to XR and from XR to MR) and for both x-ray mammograms, craniocaudal (CC), and mediolateral oblique (MLO). This new approximation allows radiologists to mark points in the MR images and, without any manual intervention, it provides their corresponding points in both types of XR mammograms and vice versa. Methods: The application automatically segments magnetic resonance images and x-ray images using the C-Means method and the Otsu method, respectively. It compresses the magnetic resonance images in both directions, CC and MLO, using a biomechanical model of the breast that distinguishes the specific biomechanical behavior of each one of its three tissues (skin, fat, and glandular tissue) separately. It makes a projection of both compressions and registers them with the original XR images using affine transformations and nonrigid registration methods. Results: The application has been validated by two expert radiologists. This was carried out through a quantitative validation on 14 data sets in which the Euclidean distance between points marked by the radiologists and the corresponding points obtained by the application were measured. The results showed a mean error of 4.2 ± 1.9 mm for the MRI to CC registration, 4.8 ± 1.3 mm for the MRI to MLO registration, and 4.1 ± 1.3 mm for the CC and MLO to MRI registration. Conclusions: A complete software application that automatically registers XR and MR images of the breast has been implemented. The application permits radiologists to estimate the position of a lesion that is suspected of being a tumor in an imaging modality based on its position in another different modality with a clinically acceptable error. The results show that the

  3. ISLE: Intelligent Selection of Loop Electronics. A CLIPS/C++/INGRES integrated application

    NASA Technical Reports Server (NTRS)

    Fischer, Lynn; Cary, Judson; Currie, Andrew

    1990-01-01

    The Intelligent Selection of Loop Electronics (ISLE) system is an integrated knowledge-based system that is used to configure, evaluate, and rank possible network carrier equipment known as Digital Loop Carrier (DLC), which will be used to meet the demands of forecasted telephone services. Determining the best carrier systems and carrier architectures, while minimizing the cost, meeting corporate policies and addressing area service demands, has become a formidable task. Network planners and engineers use the ISLE system to assist them in this task of selecting and configuring the appropriate loop electronics equipment for future telephone services. The ISLE application is an integrated system consisting of a knowledge base, implemented in CLIPS (a planner application), C++, and an object database created from existing INGRES database information. The embedibility, performance, and portability of CLIPS provided us with a tool with which to capture, clarify, and refine corporate knowledge and distribute this knowledge within a larger functional system to network planners and engineers throughout U S WEST.

  4. Intelligent Sensors: An Integrated Systems Approach

    NASA Technical Reports Server (NTRS)

    Mahajan, Ajay; Chitikeshi, Sanjeevi; Bandhil, Pavan; Utterbach, Lucas; Figueroa, Fernando

    2005-01-01

    The need for intelligent sensors as a critical component for Integrated System Health Management (ISHM) is fairly well recognized by now. Even the definition of what constitutes an intelligent sensor (or smart sensor) is well documented and stems from an intuitive desire to get the best quality measurement data that forms the basis of any complex health monitoring and/or management system. If the sensors, i.e. the elements closest to the measurand, are unreliable then the whole system works with a tremendous handicap. Hence, there has always been a desire to distribute intelligence down to the sensor level, and give it the ability to assess its own health thereby improving the confidence in the quality of the data at all times. This paper proposes the development of intelligent sensors as an integrated systems approach, i.e. one treats the sensors as a complete system with its own sensing hardware (the traditional sensor), A/D converters, processing and storage capabilities, software drivers, self-assessment algorithms, communication protocols and evolutionary methodologies that allow them to get better with time. Under a project being undertaken at the NASA Stennis Space Center, an integrated framework is being developed for the intelligent monitoring of smart elements. These smart elements can be sensors, actuators or other devices. The immediate application is the monitoring of the rocket test stands, but the technology should be generally applicable to the Intelligent Systems Health Monitoring (ISHM) vision. This paper outlines some fundamental issues in the development of intelligent sensors under the following two categories: Physical Intelligent Sensors (PIS) and Virtual Intelligent Sensors (VIS).

  5. Application of artificial intelligence to melter control: Realtime process advisor for the scale melter facility

    SciTech Connect

    Edwards, Jr, R E

    1988-01-01

    The Defense Waste Processing Facility (DWPF) at the Savannah River Plant (SRP) is currently under construction and when completed will process high-level radioactive waste into a borosilicate glass wasteform. This facility will consist of numerous batch chemical processing steps as well as the continuous operation of a joule-heated melter and its off-gas treatment system. A realtime process advisor system based on Artificial Intelligence (AI) techniques has been developed and is currently in use at the semiworks facility, which is operating a 2/3 scale of the DWPF joule-heated melter. The melter advisor system interfaces to the existing data collection and control system and monitors current operations of this facility. The advisor then provides advice to operators and engineers when it identifies process problems. The current system is capable of identifying process problems such as feed system pluggages and thermocouple failures and providing recommended actions. The system also provides facilities normally with distributed control systems. These include the ability to display process flowsheets, monitor alarm conditions, and check the status of process interlocks. 7 figs.

  6. Maximizing Multiple Intelligences through Multimedia: A Real Application of Gardner's Theories.

    ERIC Educational Resources Information Center

    Martin, Graham P.; Burnette, Carter

    2000-01-01

    Discusses Howard Gardner's theory of Multiple Intelligences that addresses how students assimilate information and suggests the use of electronic portfolios to allow a broader array of learning styles and increase the effectiveness of activities by addressing more Multiple Intelligences. Explains the use of hypertext and multimedia on a CD-ROM.…

  7. Introduction to the Structure and Application of the Stanford-Binet Intelligence Scale-Fourth Edition.

    ERIC Educational Resources Information Center

    Glutting, Joseph J.

    1989-01-01

    Introduces Stanford-Binet Intelligence Scale-Fourth Edition (SB4) as an attempt to revitalize Stanford-Binet by maintaining links with previous editions while simultaneously incorporating more recent developments found in other popular tests of intelligence. Discusses the SB4's theoretical foundation, materials and administration, scaling,…

  8. Testing the applicability of artificial intelligence techniques to the subject of erythemal ultraviolet solar radiation. Part two: an intelligent system based on multi-classifier technique.

    PubMed

    Elminir, Hamdy K; Own, Hala S; Azzam, Yosry A; Riad, A M

    2008-03-28

    The problem we address here describes the on-going research effort that takes place to shed light on the applicability of using artificial intelligence techniques to predict the local noon erythemal UV irradiance in the plain areas of Egypt. In light of this fact, we use the bootstrap aggregating (bagging) algorithm to improve the prediction accuracy reported by a multi-layer perceptron (MLP) network. The results showed that, the overall prediction accuracy for the MLP network was only 80.9%. When bagging algorithm is used, the accuracy reached 94.8%; an improvement of about 13.9% was achieved. These improvements demonstrate the efficiency of the bagging procedure, and may be used as a promising tool at least for the plain areas of Egypt.

  9. 45 CFR 96.49 - Due date for receipt of all information required for completion of tribal applications for the...

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... for completion of tribal applications for the low-income home energy assistance block grants. 96.49... required for completion of tribal applications for the low-income home energy assistance block grants. Effective beginning in FY 2001, for the low-income home energy assistance program, Indian tribes and...

  10. 45 CFR 96.49 - Due date for receipt of all information required for completion of tribal applications for the...

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... for completion of tribal applications for the low-income home energy assistance block grants. 96.49... required for completion of tribal applications for the low-income home energy assistance block grants. Effective beginning in FY 2001, for the low-income home energy assistance program, Indian tribes and...

  11. 45 CFR 96.49 - Due date for receipt of all information required for completion of tribal applications for the...

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... for completion of tribal applications for the low-income home energy assistance block grants. 96.49... required for completion of tribal applications for the low-income home energy assistance block grants. Effective beginning in FY 2001, for the low-income home energy assistance program, Indian tribes and...

  12. 45 CFR 96.49 - Due date for receipt of all information required for completion of tribal applications for the...

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... for completion of tribal applications for the low-income home energy assistance block grants. 96.49... required for completion of tribal applications for the low-income home energy assistance block grants. Effective beginning in FY 2001, for the low-income home energy assistance program, Indian tribes and...

  13. Applications of artificial intelligence VII; Proceedings of the Meeting, Orlando, FL, Mar. 28-30, 1989. Parts 1 2

    SciTech Connect

    Trivedi, M.M.

    1989-01-01

    The present conference on AI applications discusses issues in the fields of image analysis, knowledge acquisition and representation, object detection and tracking, expert systems, image segmentation, AI architectures, three-dimensional vision, knowledge-based systems, path planning, and the design and analysis of expert systems. Also discussed are computer vision, intelligent robotics, natural language systems, high-level vision, robot control and planning, AI learning, neural networks, AI manufacturing systems, AI in aerospace systems, logic programming, and autonomous systems and vehicles.

  14. Introducing an operational method to forecast long-term regional drought based on the application of artificial intelligence capabilities

    NASA Astrophysics Data System (ADS)

    Kousari, Mohammad Reza; Hosseini, Mitra Esmaeilzadeh; Ahani, Hossein; Hakimelahi, Hemila

    2017-01-01

    An effective forecast of the drought definitely gives lots of advantages in regard to the management of water resources being used in agriculture, industry, and households consumption. To introduce such a model applying simple data inputs, in this study a regional drought forecast method on the basis of artificial intelligence capabilities (artificial neural networks) and Standardized Precipitation Index (SPI in 3, 6, 9, 12, 18, and 24 monthly series) has been presented in Fars Province of Iran. The precipitation data of 41 rain gauge stations were applied for computing SPI values. Besides, weather signals including Multivariate ENSO Index (MEI), North Atlantic Oscillation (NAO), Southern Oscillation Index (SOI), NINO1+2, anomaly NINO1+2, NINO3, anomaly NINO3, NINO4, anomaly NINO4, NINO3.4, and anomaly NINO3.4 were also used as the predictor variables for SPI time series forecast the next 12 months. Frequent testing and validating steps were considered to obtain the best artificial neural networks (ANNs) models. The forecasted values were mapped in verification sector then they were compared with the observed maps at the same dates. Results showed considerable spatial and temporal relationships even among the maps of different SPI time series. Also, the first 6 months forecasted maps showed an average of 73 % agreements with the observed ones. The most important finding and the strong point of this study was the fact that although drought forecast in each station and time series was completely independent, the relationships between spatial and temporal predictions remained. This strong point mainly referred to frequent testing and validating steps in order to explore the best drought forecast models from plenty of produced ANNs models. Finally, wherever the precipitation data are available, the practical application of the presented method is possible.

  15. Intelligent Extruder

    SciTech Connect

    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.

  16. Application of Artificial Intelligence (AI) Programming Techniques to Tactical Guidance for Fighter Aircraft

    NASA Technical Reports Server (NTRS)

    McManus, John W.; Goodrich, Kenneth H.

    1989-01-01

    A research program investigating the use of Artificial Intelligence (AI) techniques to aid in the development of a Tactical Decision Generator (TDG) for Within-Visual-Range (WVR) air combat engagements is discussed. The application of AI methods for development and implementation of the TDG is presented. The history of the Adaptive Maneuvering Logic (AML) program is traced and current versions of the AML program are compared and contrasted with the TDG system. The Knowledge-Based Systems (KBS) used by the TDG to aid in the decision-making process are outlined in detail and example rules are presented. The results of tests to evaluate the performance of the TDG versus a version of AML and versus human pilots in the Langley Differential Maneuvering Simulator (DMS) are presented. To date, these results have shown significant performance gains in one-versus-one air combat engagements, and the AI-based TDG software has proven to be much easier to modify than the updated FORTRAN AML programs.

  17. Intelligent HIP processing of a Spraycast-X{reg_sign} superalloy for aerospace applications

    SciTech Connect

    Zahrah, T.F.; Dalal, R.; Kissinger, R.

    1996-12-31

    An eddy current sensor system has been developed to monitor densification during hot isostatic pressing (HIP) of Spraycast-X{reg_sign} superalloy components for aerospace applications. The sensor system was designed, implemented and demonstrated by MATSYS personnel at the Howmet Corporation HIP facility. The eddy current sensor was used to monitor densification of Spraycast-X{reg_sign} Rene`41 ring segments from 95 to 98 percent relative density to full density. The sensor data were verified and validated by metallographic examinations of HIPed specimens. The grain size of the Spraycast-X{reg_sign} Rene`41 was not affected by HIP at both 1,066 C (1,950 F) and 1,121 C (2,050 F). Tensile strengths and 0.2% creep rupture properties were not sensitive to changes in HIP processing conditions. However, tensile ductilities and low cycle properties showed a strong correlation to HIP time at 1,121 C/103 MPa (2,050 F/15 KSI). As hole time at maximum temperature and pressure was increased from 1 to 4 hours, tensile ductilities and low cycle fatigue lives increased. The sensor system can be integrated with an intelligent closed loop control system to monitor and control densification rate and shape distortion.

  18. Application of a Spatial Intelligent Decision System on Self-Rated Health Status Estimation.

    PubMed

    Calzada, Alberto; Liu, Jun; Wang, Hui; Nugent, Chris; Martinez, Luis

    2015-11-01

    Self- assessed general health status is a commonly-used survey technique since it can be used as a predictor for several public health risks such as mortality, deprivation, and fear of crime or poverty. Therefore, it is a useful alternative measure to help assessing the public health situation of a neighborhood or town, and can be utilized by authorities in many decision support situations related to public health, budget allocation and general policy-making, among others. It can be considered as spatial decision problems, since both data location and spatial relationships make a prominent impact during the decision making process. This paper utilizes a recently-developed spatial intelligent decision system, named, Spatial RIMER(+), to model the self-rated health estimation decision problem using real data in the areas of Northern Ireland, UK. The goal is to learn from past or partial observations on self-rated health status to predict its future or neighborhood behavior and reference it in the map. Three scenarios in line of this goal are discussed in details, i.e., estimation of unknown, downscaling, and predictions over time. They are used to demonstrate the flexibility and applicability of the spatial decision support system and their positive capabilities in terms of accuracy, efficiency and visualization.

  19. Biomedical, Artificial Intelligence, and DNA Computing Photonics Applications and Web Engineering, Wilga, May 2012

    NASA Astrophysics Data System (ADS)

    Romaniuk, Ryszard S.

    2012-05-01

    This paper is the fifth part (out of five) of the research survey of WILGA Symposium work, May 2012 Edition, concerned with Biomedical, Artificial Intelligence and DNA Computing technologies. It presents a digest of chosen technical work results shown by young researchers from different technical universities from this country during the Jubilee XXXth SPIE-IEEE Wilga 2012, May Edition, symposium on Photonics and Web Engineering. Topical tracks of the symposium embraced, among others, nanomaterials and nanotechnologies for photonics, sensory and nonlinear optical fibers, object oriented design of hardware, photonic metrology, optoelectronics and photonics applications, photonics-electronics co-design, optoelectronic and electronic systems for astronomy and high energy physics experiments, JET tokamak and pi-of-the sky experiments development. The symposium is an annual summary in the development of numerable Ph.D. theses carried out in this country in the area of advanced electronic and photonic systems. It is also a great occasion for SPIE, IEEE, OSA and PSP students to meet together in a large group spanning the whole country with guests from this part of Europe. A digest of Wilga references is presented [1-270].

  20. WE-CARE: an intelligent mobile telecardiology system to enable mHealth applications.

    PubMed

    Huang, Anpeng; Chen, Chao; Bian, Kaigui; Duan, Xiaohui; Chen, Min; Gao, Hongqiao; Meng, Chao; Zheng, Qian; Zhang, Yingrui; Jiao, Bingli; Xie, Linzhen

    2014-03-01

    Recently, cardiovascular disease (CVD) has become one of the leading death causes worldwide, and it contributes to 41% of all deaths each year in China. This disease incurs a cost of more than 400 billion US dollars in China on the healthcare expenditures and lost productivity during the past ten years. It has been shown that the CVD can be effectively prevented by an interdisciplinary approach that leverages the technology development in both IT and electrocardiogram (ECG) fields. In this paper, we present WE-CARE , an intelligent telecardiology system using mobile 7-lead ECG devices. Because of its improved mobility result from wearable and mobile ECG devices, the WE-CARE system has a wider variety of applications than existing resting ECG systems that reside in hospitals. Meanwhile, it meets the requirement of dynamic ECG systems for mobile users in terms of the detection accuracy and latency. We carried out clinical trials by deploying the WE-CARE systems at Peking University Hospital. The clinical results clearly showed that our solution achieves a high detection rate of over 95% against common types of anomalies in ECG, while it only incurs a small detection latency around one second, both of which meet the criteria of real-time medical diagnosis. As demonstrated by the clinical results, the WE-CARE system is a useful and efficient mHealth (mobile health) tool for the cardiovascular disease diagnosis and treatment in medical platforms.

  1. An application of the theory of multiple intelligences in mathematics classrooms in the context of origami

    NASA Astrophysics Data System (ADS)

    Wares, Arsalan

    2013-01-01

    The purpose of this paper is to illustrate how Howard Gardner's theory of Multiple Intelligences may be applied in mathematics classrooms in the context of an origami project. The paper discusses an origami project and the mathematics behind the project. The paper finally uses the origami project to discuss how Howard Gardner's theory of Multiple Intelligences and idea of entry points can be applied in mathematics classrooms to help students understand and appreciate mathematics [H. Gardner, Multiple Intelligences: New Horizons, Basic Books, New York, 2006].

  2. An Intensive Insulinotherapy Mobile Phone Application Built on Artificial Intelligence Techniques

    PubMed Central

    Curran, Kevin; Nichols, Eric; Xie, Ermai; Harper, Roy

    2010-01-01

    Background Software to help control diabetes is currently an embryonic market with the main activity to date focused mainly on the development of noncomputerized solutions, such as cardboard calculators or computerized solutions that use “flat” computer models, which are applied to each person without taking into account their individual lifestyles. The development of true, mobile device-driven health applications has been hindered by the lack of tools available in the past and the sheer lack of mobile devices on the market. This has now changed, however, with the availability of pocket personal computer handsets. Method This article describes a solution in the form of an intelligent neural network running on mobile devices, allowing people with diabetes access to it regardless of their location. Utilizing an easy to learn and use multipanel user interface, people with diabetes can run the software in real time via an easy to use graphical user interface. The neural network consists of four neurons. The first is glucose. If the user's current glucose level is within the target range, the glucose weight is then multiplied by zero. If the glucose level is high, then there will be a positive value multiplied to the weight, resulting in a positive amount of insulin to be injected. If the user's glucose level is low, then the weights will be multiplied by a negative value, resulting in a decrease in the overall insulin dose. Results A minifeasibility trial was carried out at a local hospital under a consultant endocrinologist in Belfast. The short study ran for 2 weeks with six patients. The main objectives were to investigate the user interface, test the remote sending of data over a 3G network to a centralized server at the university, and record patient data for further proofing of the neural network. We also received useful feedback regarding the user interface and the feasibility of handing real-world patients a new mobile phone. Results of this short trial

  3. Intelligent tutoring systems research in the training systems division: Space applications

    NASA Technical Reports Server (NTRS)

    Regian, J. Wesley

    1988-01-01

    Computer-Aided Instruction (CAI) is a mature technology used to teach students in a wide variety of domains. The introduction of Artificial Intelligence (AI) technology of the field of CAI has prompted research and development efforts in an area known as Intelligent Computer-Aided Instruction (ICAI). In some cases, ICAI has been touted as a revolutionary alternative to traditional CAI. With the advent of powerful, inexpensive school computers, ICAI is emerging as a potential rival to CAI. In contrast to this, one may conceive of Computer-Based Training (CBT) systems as lying along a continuum which runs from CAI to ICAI. Although the key difference between the two is intelligence, there is not commonly accepted definition of what constitutes an intelligent instructional system.

  4. Emotional intelligence, personality, and gender as factors in disordered eating patterns.

    PubMed

    Zysberg, Leehu

    2014-08-01

    We examined the hypotheses that proposing higher levels of emotional intelligence (ability test and self-report) and lower neuroticism, extraversion, and agreeableness associate with lower levels of disordered eating. In a correlational study, 126 Israeli college students completed two measures of emotional intelligence, a brief five-factor personality test, demographic data questionnaires, and questionnaires assessing food preoccupation, namely, the Body Weight, Image and Self-Esteem Scale and the Appearance Schema Inventory. Results suggested that ability emotional intelligence is associated with disordered eating beyond gender and personality. Self-reported emotional intelligence did not associate with any of the outcomes after controlling for personality. Implications and applications are briefly discussed.

  5. Method and apparatus for obtaining complete speech signals for speech recognition applications

    NASA Technical Reports Server (NTRS)

    Abrash, Victor (Inventor); Cesari, Federico (Inventor); Franco, Horacio (Inventor); George, Christopher (Inventor); Zheng, Jing (Inventor)

    2009-01-01

    The present invention relates to a method and apparatus for obtaining complete speech signals for speech recognition applications. In one embodiment, the method continuously records an audio stream comprising a sequence of frames to a circular buffer. When a user command to commence or terminate speech recognition is received, the method obtains a number of frames of the audio stream occurring before or after the user command in order to identify an augmented audio signal for speech recognition processing. In further embodiments, the method analyzes the augmented audio signal in order to locate starting and ending speech endpoints that bound at least a portion of speech to be processed for recognition. At least one of the speech endpoints is located using a Hidden Markov Model.

  6. Controlled and targeted release of antigens by intelligent shell for improving applicability of oral vaccines.

    PubMed

    Zhang, Lei; Zeng, Zhanzhuang; Hu, Chaohua; Bellis, Susan L; Yang, Wendi; Su, Yintao; Zhang, Xinyan; Wu, Yunkun

    2016-01-01

    Conventional oral vaccines with simple architecture face barriers with regard to stimulating effective immunity. Here we describe oral vaccines with an intelligent phase-transitional shielding layer, poly[(methyl methacrylate)-co-(methyl acrylate)-co-(methacrylic acid)]-poly(D,L-lactide-co-glycolide) (PMMMA-PLGA), which can protect antigens in the gastro-intestinal tract and achieve targeted vaccination in the large intestine. With the surface immunogenic protein (SIP) from group B Streptococcus (GBS) entrapped as the antigen, oral administration with PMMMA-PLGA (PTRBL)/Trx-SIP nanoparticles stimulated robust immunity in tilapia, an animal with a relatively simple immune system. The vaccine succeeded in protecting against Streptococcus agalactiae, a pathogen of worldwide importance that threatens human health and is transmitted in water with infected fish. After oral vaccination with PTRBL/Trx-SIP, tilapia produced enhanced levels of SIP specific antibodies and displayed durability of immune protection. 100% of the vaccinated tilapia were protected from GBS infection, whereas the control groups without vaccines or vaccinated with Trx-SIP only exhibited respective infection rates of 100% or >60% within the initial 5 months after primary vaccination. Experiments in vivo demonstrated that the recombinant antigen Trx-SIP labeled with FITC was localized in colon, spleen and kidney, which are critical sites for mounting an immune response. Our results revealed that, rather than the size of the nanoparticles, it is more likely that the negative charge repulsion produced by ionization of the carboxyl groups in PMMMA shielded the nanoparticles from uptake by small intestinal epithelial cells. This system resolves challenges arising from gastrointestinal damage to antigens, and more importantly, offers a new approach applicable for oral vaccination.

  7. What Is Artificial Intelligence Anyway?

    ERIC Educational Resources Information Center

    Kurzweil, Raymond

    1985-01-01

    Examines the past, present, and future status of Artificial Intelligence (AI). Acknowledges the limitations of AI but proposes possible areas of application and further development. Urges a concentration on the unique strengths of machine intelligence rather than a copying of human intelligence. (ML)

  8. 29 CFR 1956.23 - Procedures for certification of completion of development and determination on application of...

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... PLANS FOR THE DEVELOPMENT AND ENFORCEMENT OF STATE STANDARDS APPLICABLE TO STATE AND LOCAL GOVERNMENT... 29 Labor 9 2010-07-01 2010-07-01 false Procedures for certification of completion of development... Approval Procedures § 1956.23 Procedures for certification of completion of development and...

  9. The need for operating guidelines and a decision making framework applicable to the discovery of non-intelligent extraterrestrial life

    NASA Astrophysics Data System (ADS)

    Race, Margaret S.; Randolph, Richard O.

    While formal principles have been adopted for the eventuality of detecting intelligent life in our galaxy (SETI Principles), no such guidelines exist for the discovery of non-intelligent extraterrestrial life within the solar system. Current scientifically based planetary protection policies for solar system exploration address how to undertake exploration, but do not provide clear guidance on what to do if and when life is detected. Considering that martian life could be detected under several different robotic and human exploration scenarios in the coming decades, it is appropriate to anticipate how detection of non-intelligent, microbial life could impact future exploration missions and activities, especially on Mars. This paper discusses a proposed set of interim guidelines based loosely on the SETI Principles and addresses issues extending from the time of discovery through future handling and treatment of extraterrestrial life on Mars or elsewhere. Based on an analysis of both scientific and ethical considerations, there is a clear need for developing operating protocols applicable at the time of discovery and a decision making framework that anticipates future missions and activities, both robotic and human. There is growing scientific confidence that the discovery of extraterrestrial life in some form is nearly inevitable. If and when life is discovered beyond Earth, non-scientific dimensions may strongly influence decisions about the nature and scope of future missions and activities. It is appropriate to encourage international discussion and consideration of the issues prior to an event of such historical significance.

  10. Energizing the nursing lecture: Application of the Theory of Multiple Intelligence Learning.

    PubMed

    Amerson, Roxanne

    2006-01-01

    Nurse educators struggle to find ways to create learning opportunities that are interactive and appeal to the needs of various students. The key to energizing the nursing lecture is to create an environment that encourages students to be active participants. It is essential to use creativity to design cognitive strategies that appeal to students' learning preferences. This article discusses the methods one educator has used to implement the Theory of Multiple Intelligence Learning in the classroom. Specific cognitive strategies that address the learning preferences of each intelligence are discussed.

  11. The Application Research of Modern Intelligent Cold Chain Distribution System Based on Internet of Things Technology

    NASA Astrophysics Data System (ADS)

    Fan, Dehui; Gao, Shan

    This paper implemented an intelligent cold chain distribution system based on the technology of Internet of things, and took the protoplasmic beer logistics transport system as example. It realized the remote real-time monitoring material status, recorded the distribution information, dynamically adjusted the distribution tasks and other functions. At the same time, the system combined the Internet of things technology with weighted filtering algorithm, realized the real-time query of condition curve, emergency alarming, distribution data retrieval, intelligent distribution task arrangement, etc. According to the actual test, it can realize the optimization of inventory structure, and improve the efficiency of cold chain distribution.

  12. Artificial Intelligence: Expert Systems for Corps Tactical Planning and Other Applications.

    DTIC Science & Technology

    1987-03-23

    Artificial intelligence is fast becoming a part of everyday life. How much it can eventually do remains to be seen but only an intellectual simpleton can doubt...us --Look for AA which avoids hitting enemy hond on (we must project enemri locos. - Does it mapri st moueint? - Does it W k m c (Dde forword ad Dde

  13. Application of an extended equalization-cancellation model to speech intelligibility with spatially distributed maskers.

    PubMed

    Wan, Rui; Durlach, Nathaniel I; Colburn, H Steven

    2010-12-01

    An extended version of the equalization-cancellation (EC) model of binaural processing is described and applied to speech intelligibility tasks in the presence of multiple maskers. The model incorporates time-varying jitters, both in time and amplitude, and implements the equalization and cancellation operations in each frequency band independently. The model is consistent with the original EC model in predicting tone-detection performance for a large set of configurations. When the model is applied to speech, the speech intelligibility index is used to predict speech intelligibility performance in a variety of conditions. Specific conditions addressed include different types of maskers, different numbers of maskers, and different spatial locations of maskers. Model predictions are compared with empirical measurements reported by Hawley et al. [J. Acoust. Soc. Am. 115, 833-843 (2004)] and by Marrone et al. [J. Acoust. Soc. Am. 124, 1146-1158 (2008)]. The model succeeds in predicting speech intelligibility performance when maskers are speech-shaped noise or broadband-modulated speech-shaped noise but fails when the maskers are speech or reversed speech.

  14. Automated Detection of Essay Revising Patterns: Applications for Intelligent Feedback in a Writing Tutor

    ERIC Educational Resources Information Center

    Roscoe, Rod D.; Snow, Erica L.; Allen, Laura K.; McNamara, Danielle S.

    2015-01-01

    The Writing Pal is an intelligent tutoring system designed to support writing proficiency and strategy acquisition for adolescent writers. A fundamental aspect of the instructional model is automated formative feedback that provides concrete information and strategies oriented toward student improvement. In this paper, the authors explore…

  15. Application of Graph Theory in an Intelligent Tutoring System for Solving Mathematical Word Problems

    ERIC Educational Resources Information Center

    Nabiyev, Vasif V.; Çakiroglu, Ünal; Karal, Hasan; Erümit, Ali K.; Çebi, Ayça

    2016-01-01

    This study is aimed to construct a model to transform word "motion problems" in to an algorithmic form in order to be processed by an intelligent tutoring system (ITS). First; categorizing the characteristics of motion problems, second; suggesting a model for the categories were carried out. In order to solve all categories of the…

  16. Organizational Learning and the Application of Intelligence Processes in Higher Education

    ERIC Educational Resources Information Center

    Breckenridge, James Garvin

    2012-01-01

    The purpose of this study is to explore intelligence processes and procedures as they apply to organizational learning in higher education settings. This exploration seeks to identify key components and processes in higher education institutions that were previously identified in the research as important and integral to the discipline of…

  17. Integrating Symbolic and Statistical Methods for Testing Intelligent Systems Applications to Machine Learning and Computer Vision

    SciTech Connect

    Jha, Sumit Kumar; Pullum, Laura L; Ramanathan, Arvind

    2016-01-01

    Embedded intelligent systems ranging from tiny im- plantable biomedical devices to large swarms of autonomous un- manned aerial systems are becoming pervasive in our daily lives. While we depend on the flawless functioning of such intelligent systems, and often take their behavioral correctness and safety for granted, it is notoriously difficult to generate test cases that expose subtle errors in the implementations of machine learning algorithms. Hence, the validation of intelligent systems is usually achieved by studying their behavior on representative data sets, using methods such as cross-validation and bootstrapping.In this paper, we present a new testing methodology for studying the correctness of intelligent systems. Our approach uses symbolic decision procedures coupled with statistical hypothesis testing to. We also use our algorithm to analyze the robustness of a human detection algorithm built using the OpenCV open-source computer vision library. We show that the human detection implementation can fail to detect humans in perturbed video frames even when the perturbations are so small that the corresponding frames look identical to the naked eye.

  18. Application of artifical intelligence to reservoir characterization: An interdisciplinary approach. Annual report, October 1993--October 1994

    SciTech Connect

    Kelkar, B.G.; Gamble, R.F.; Kerr, D.R.; Thompson, L.G.; Shenoi, S.

    1995-07-01

    This basis of this research is to apply novel techniques from Artificial Intelligence and Expert Systems in capturing, integrating and articulating key knowledge from geology, geostatistics, and petroleum engineering to develop accurate descriptions of petroleum reservoirs. The ultimate goal is to design and implement a single powerful expert system for use by small producers and independents to efficiently exploit reservoirs.

  19. Towards a Mobile Intelligent Information System with Application to HIV/AIDS.

    PubMed

    Kopec, D; Eckhardt, R; Tamang, S; Reinharth, D

    2005-01-01

    The United Nations Security Council reports HIV/AIDS as the fastest growing threat to human development. In addition, the World Health Organization [1] reports that nearly 5 million persons (4.3 million adults and 700,000 children) are newly infected with HIV each year; more than 95% of them found in developing countries. Since STDs as a group are a personal problem which few people feel comfortable discussing, we believe that hand-held PDAs can provide an opportunity for learning about this disease while insuring anonymity. This device will employ the newest technologies including Bluetooth wireless technology, which can transmit and receive data via a short-range radio link using a globally available frequency band (2.4 GHz ISM band), enabling rapid and accurate synchronous and asynchronous data communication. The first generation of Bluetooth permits exchange of data up to a rate of 1 Mbps, even in areas with much electromagnetic disturbance. This emerging technology can facilitate HIV/AIDS outreach around the globe.Recent advances in learning have taken a particularly cognitive perspective and these findings have implications for education in general as well as for the development of intelligent tutoring systems in particular. In the past, effective SmartBookstrade markhave been developed for AIDS education to disseminate the critical knowledge relevant to this epidemic [2].Since 1993, the proliferation of the World Wide Web has created a plethora of new opportunities for the delivery of electronic distance learning systems. However, we feel that it is important that a whatever technology is employed is based on a sound educational theory. A new, comprehensive, web-based learning system called SmartTutor has been developed, at Brooklyn College of The City University of New York [3]. This technology provides a user-friendly, self-paced, easy to modify, software environment intended to serve the user's learning needs and is based on a generic Smart

  20. Artificial Intelligence and Its Importance in Education.

    ERIC Educational Resources Information Center

    Tilmann, Martha J.

    Artificial intelligence, or the study of ideas that enable computers to be intelligent, is discussed in terms of what it is, what it has done, what it can do, and how it may affect the teaching of tomorrow. An extensive overview of artificial intelligence examines its goals and applications and types of artificial intelligence including (1) expert…

  1. Design of Dual band Modified Inverted F-Antenna for Military and Intelligent Transportation System (ITS) Applications by Numerical Analysis

    NASA Astrophysics Data System (ADS)

    Hossain, Robiul; Karmokar, Debabrata Kumar

    2012-11-01

    A design of single feed Dual Band Modified Inverted F-Antenna (IFA) operating at 4.45 GHz (4.4-4.7GHz) and 5.9 GHz (5.850-5.925 GHz) has been proposed in this paper. The design is initiated by trial and error method of Numerical Analysis and method of moments (MoMís) in Numerical Electromagnetic code (NEC) is used to design, simulate and analyze this antenna. The results exhibit a proper operation of the antenna in terms of return loss, bandwidth, efficiency, VSWR, and gain at both bands. Proposed antenna is designed to achieve multi-serving purposes. Military applications and applications in the Intelligent Transportation Systems (ITS) are the most important applications within the above mentioned frequency bands respectively. The simulated results including performance parameters of antenna are presented and all are acceptable for the standard antennas.

  2. Bibliography: Artificial Intelligence.

    ERIC Educational Resources Information Center

    Smith, Richard L.

    1986-01-01

    Annotates reference material on artificial intelligence, mostly at an introductory level, with applications to education and learning. Topics include: (1) programing languages; (2) expert systems; (3) language instruction; (4) tutoring systems; and (5) problem solving and reasoning. (JM)

  3. Introduction to artificial intelligence

    NASA Technical Reports Server (NTRS)

    Cheeseman, P.; Gevarter, W.

    1986-01-01

    This paper presents an introductory view of Artificial Intelligence (AI). In addition to defining AI, it discusses the foundations on which it rests, research in the field, and current and potential applications.

  4. An Empirical Analysis of Interspersal Research Evidence, Implications, and Applications of the Discrete Task Completion Hypothesis.

    ERIC Educational Resources Information Center

    Skinner, Christopher H.

    2002-01-01

    Researchers have posited that when students work on assignments with many discrete tasks, that each completed discrete task may be a conditioned reinforcer. If the discrete task completion hypothesis is accurate, then relative task completion rates should influence choice behavior in the same manner as relative rates of reinforcement. Results of a…

  5. Heidegger and artificial intelligence

    SciTech Connect

    Diaz, G.

    1987-01-01

    The discipline of Artificial Intelligence, in its quest for machine intelligence, showed great promise as long as its areas of application were limited to problems of a scientific and situation neutral nature. The attempts to move beyond these problems to a full simulation of man's intelligence has faltered and slowed it progress, largely because of the inability of Artificial Intelligence to deal with human characteristic, such as feelings, goals, and desires. This dissertation takes the position that an impasse has resulted because Artificial Intelligence has never been properly defined as a science: its objects and methods have never been identified. The following study undertakes to provide such a definition, i.e., the required ground for Artificial Intelligence. The procedure and methods employed in this study are based on Heidegger's philosophy and techniques of analysis as developed in Being and Time. Results of this study show that both the discipline of Artificial Intelligence and the concerns of Heidegger in Being and Time have the same object; fundamental ontology. The application of Heidegger's conclusions concerning fundamental ontology unites the various aspects of Artificial Intelligence and provides the articulation which shows the parts of this discipline and how they are related.

  6. Extracting ballistic forensic intelligence: microstamped firearms deliver data for illegal firearm traffic mapping: technology, implementation, and applications

    NASA Astrophysics Data System (ADS)

    Ohar, Orest P.; Lizotte, Todd E.

    2009-08-01

    Over the years law enforcement has become increasingly complex, driving a need for a better level of organization of knowledge within policing. The use of COMPSTAT or other Geospatial Information Systems (GIS) for crime mapping and analysis has provided opportunities for careful analysis of crime trends. By identifying hotspots within communities, data collected and entered into these systems can be analyzed to determine how, when and where law enforcement assets can be deployed efficiently. This paper will introduce in detail, a powerful new law enforcement and forensic investigative technology called Intentional Firearm Microstamping (IFM). Once embedded and deployed into firearms, IFM will provide data for identifying and tracking the sources of illegally trafficked firearms within the borders of the United States and across the border with Mexico. Intentional Firearm Microstamping is a micro code technology that leverages a laser based micromachining process to form optimally located, microscopic "intentional structures and marks" on components within a firearm. Thus when the firearm is fired, these IFM structures transfer an identifying tracking code onto the expended cartridge that is ejected from the firearm. Intentional Firearm Microstamped structures are laser micromachined alpha numeric and encoded geometric tracking numbers, linked to the serial number of the firearm. IFM codes can be extracted quickly and used without the need to recover the firearm. Furthermore, through the process of extraction, IFM codes can be quantitatively verified to a higher level of certainty as compared to traditional forensic matching techniques. IFM provides critical intelligence capable of identifying straw purchasers, trafficking routes and networks across state borders and can be used on firearms illegally exported across international borders. This paper will outline IFM applications for supporting intelligence led policing initiatives, IFM implementation strategies

  7. Intelligent robust control for uncertain nonlinear time-varying systems and its application to robotic systems.

    PubMed

    Chang, Yeong-Chan

    2005-12-01

    This paper addresses the problem of designing adaptive fuzzy-based (or neural network-based) robust controls for a large class of uncertain nonlinear time-varying systems. This class of systems can be perturbed by plant uncertainties, unmodeled perturbations, and external disturbances. Nonlinear H(infinity) control technique incorporated with adaptive control technique and VSC technique is employed to construct the intelligent robust stabilization controller such that an H(infinity) control is achieved. The problem of the robust tracking control design for uncertain robotic systems is employed to demonstrate the effectiveness of the developed robust stabilization control scheme. Therefore, an intelligent robust tracking controller for uncertain robotic systems in the presence of high-degree uncertainties can easily be implemented. Its solution requires only to solve a linear algebraic matrix inequality and a satisfactorily transient and asymptotical tracking performance is guaranteed. A simulation example is made to confirm the performance of the developed control algorithms.

  8. Intelligent spectral signature bio-imaging in vivo for surgical applications

    NASA Astrophysics Data System (ADS)

    Jeong, Jihoon; Frykman, Philip K.; Gaon, Mark; Chung, Alice P.; Lindsley, Erik H.; Hwang, Jae Y.; Farkas, Daniel L.

    2007-02-01

    Multi-spectral imaging provides digital images of a scene or object at a large, usually sequential number of wavelengths, generating precise optical spectra at every pixel. We use the term "spectral signature" for a quantitative plot of optical property variations as a function of wavelengths. We present here intelligent spectral signature bio-imaging methods we developed, including automatic signature selection based on machine learning algorithms and database search-based automatic color allocations, and selected visualization schemes matching these approaches. Using this intelligent spectral signature bio-imaging method, we could discriminate normal and aganglionic colon tissue of the Hirschsprung's disease mouse model with over 95% sensitivity and specificity in various similarity measure methods and various anatomic organs such as parathyroid gland, thyroid gland and pre-tracheal fat in dissected neck of the rat in vivo.

  9. Real Estate Site Selection: An Application of Artificial Intelligence for Military Retail Facilities

    DTIC Science & Technology

    2006-09-01

    selection in recent years. This project looks into possible advantages of applying artificial intelligent models to model consumer behavior in an effort...and available real estate. Basically, this process will model consumer behavior within a market related to current and potentially available real...city for retail purposes. This applied Newtonian physics to consumer behavior . The attractiveness of the location was related to the distance

  10. Sensors-network and its application in the intelligent storage security

    NASA Astrophysics Data System (ADS)

    Zhang, Qingying; Nicolescu, Mihai; Jiang, Xia; Zhang, Ying; Yue, Weihong; Xiao, Weihong

    2004-11-01

    Intelligent storage systems run on different advanced technologies, such as linear layout, business intelligence and data mining. Security, the basic desire of the storage system, has been focused on with the indraught of multimedia communication technology and sensors" network. Along with the developing of science and the social demands, multifarious alarming system has been designed and improved to be intelligentized, modularized and have network connections. It is of great moment to make the storage, and further more, the logistics system more and more efficient and perfect with modern science and technology. Diversified information on the spot should be caught by different kinds of sensors. Those signals are treated and communicated to the control center to give the further actions. For fire-proofing, broad-spectrum gas sensors, fume sensors, flame sensors and temperature sensors are used to catch the information in their own ways. Once the fire is taken somewhere, the sensors work by the fume, temperature, and flame as well as gas immediately. Meanwhile the intelligent control system starts. It passes the tidings to the center unit. At the same time, it sets those movable walls on to work quickly to obstruct the fire"s spreading. While for guarding the warehouse against theft, cut-off sensors, body sensors, photoelectric sensors, microwave sensors and closed-circuit television as well as electronic clocks are available to monitor the warehouse reasonably. All of those sensors work in a net way. The intelligent control system is made with a digital circuit instead of traditional switch one. This system can work in a better way in many cases. Its reliability is high and the cost is low.

  11. Application of artificial intelligence (AI) concepts to the development of space flight parts approval model

    NASA Technical Reports Server (NTRS)

    Krishnan, G. S.

    1997-01-01

    A cost effective model which uses the artificial intelligence techniques in the selection and approval of parts is presented. The knowledge which is acquired from the specialists for different part types are represented in a knowledge base in the form of rules and objects. The parts information is stored separately in a data base and is isolated from the knowledge base. Validation, verification and performance issues are highlighted.

  12. Application of wireless intelligent control system for HPS lamps and LEDs combined illumination in road tunnel.

    PubMed

    Lai, Jinxing; Qiu, Junling; Chen, Jianxun; Wang, Yaqiong; Fan, Haobo

    2014-01-01

    Because of the particularity of the environment in the tunnel, the rational tunnel illumination system should be developed, so as to optimize the tunnel environment. Considering the high cost of traditional tunnel illumination system with high-pressure sodium (HPS) lamps as well as the effect of a single light source on tunnel entrance, the energy-saving illumination system with HPS lamps and LEDs combined illumination in road tunnel, which could make full use of these two kinds of lamps, was proposed. The wireless intelligent control system based on HPS lamps and LEDs combined illumination and microcontrol unit (MCU) Si1000 wireless communication technology was designed. And the remote monitoring, wireless communication, and PWM dimming module of this system were designed emphatically. Intensity detector and vehicle flow detector can be configured in wireless intelligent control system, which gather the information to the master control unit, and then the information is sent to the monitoring center through the Ethernet. The control strategies are got by the monitoring center according to the calculated results, and the control unit wirelessly sends parameters to lamps, which adjust the luminance of each segment of the tunnel and realize the wireless intelligent control of combined illumination in road tunnel.

  13. Space Applications of Automation, Robotics and Machine Intelligence Systems (ARAMIS). Volume 4: Supplement, Appendix 4.3: Candidate ARAMIS Capabilities

    NASA Technical Reports Server (NTRS)

    Miller, R. H.; Minsky, M. L.; Smith, D. B. S.

    1982-01-01

    Potential applications of automation, robotics, and machine intelligence systems (ARAMIS) to space activities, and to their related ground support functions, in the years 1985-2000, so that NASA may make informed decisions on which aspects of ARAMIS to develop. The study first identifies the specific tasks which will be required by future space projects. It then defines ARAMIS options which are candidates for those space project tasks, and evaluates the relative merits of these options. Finally, the study identifies promising applications of ARAMIS, and recommends specific areas for further research. The ARAMIS options defined and researched by the study group span the range from fully human to fully machine, including a number of intermediate options (e.g., humans assisted by computers, and various levels of teleoperation). By including this spectrum, the study searches for the optimum mix of humans and machines for space project tasks.

  14. The Effectiveness of Multiple Intelligence Applications on Academic Achievement: A Meta-Analysis=Çoklu Zekâ Ögretim Uygulamalarinin Akademik Basari Üzerindeki Etkisi: Bir Meta-Analiz Çalismasi

    ERIC Educational Resources Information Center

    Yurt, Eyüp; Polat, Seyat

    2015-01-01

    The purpose of this study was to examine the effectiveness of multiple intelligence applications on academic achievement in Turkey. Accordingly, findings of independent research studies aimed to find out effectiveness of multiple intelligence applications are gathered in a meta-analysis. Total of 71 studies, 66 dissertations and 7 articles were…

  15. 23 CFR 661.25 - What does a complete application package for PE consist of and how does the project receive funding?

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... 23 Highways 1 2010-04-01 2010-04-01 false What does a complete application package for PE consist... PROGRAM § 661.25 What does a complete application package for PE consist of and how does the project receive funding? (a) A complete application package for PE consists of the following: the...

  16. 23 CFR 661.25 - What does a complete application package for PE consist of and how does the project receive funding?

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    ... 23 Highways 1 2011-04-01 2011-04-01 false What does a complete application package for PE consist... PROGRAM § 661.25 What does a complete application package for PE consist of and how does the project receive funding? (a) A complete application package for PE consists of the following: the...

  17. Intelligent robots and computer vision

    SciTech Connect

    Casasent, D.P.

    1986-01-01

    This book presents the papers given at a conference on artificial intelligence and robot vision. Topics considered at the conference included pattern recognition, image processing for intelligent robotics, three-dimensional vision (depth and motion), vision modeling and shape estimation, spatial reasoning, the symbolic processing visual information, robotic sensors and applications, intelligent control architectures for robot systems, robot languages and programming, human-machine interfaces, robotics applications, and architectures of robotics.

  18. Artificial Intelligence and Vocational Education: An Impending Confluence.

    ERIC Educational Resources Information Center

    Roth, Gene L.; McEwing, Richard A.

    1986-01-01

    Reports on the relatively new field of artificial intelligence and its relationship to vocational education. Compares human intelligence with artificial intelligence. Discusses expert systems, natural language technology, and current trends. Lists potential applications for vocational education. (CH)

  19. Business intelligence and capacity planning: web-based solutions.

    PubMed

    James, Roger

    2010-07-01

    Income (activity) and expenditure (costs) form the basis of a modern hospital's 'business intelligence'. However, clinical engagement in business intelligence is patchy. This article describes the principles of business intelligence and outlines some recent developments using web-based applications.

  20. An analysis of the application of AI to the development of intelligent aids for flight crew tasks

    NASA Technical Reports Server (NTRS)

    Baron, S.; Feehrer, C.

    1985-01-01

    This report presents the results of a study aimed at developing a basis for applying artificial intelligence to the flight deck environment of commercial transport aircraft. In particular, the study was comprised of four tasks: (1) analysis of flight crew tasks, (2) survey of the state-of-the-art of relevant artificial intelligence areas, (3) identification of human factors issues relevant to intelligent cockpit aids, and (4) identification of artificial intelligence areas requiring further research.

  1. Artificial Intelligence.

    ERIC Educational Resources Information Center

    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…

  2. Gardner's Multiple Intelligence Theory: An Evaluation of Relevant Research Literature and a Consideration of its Application to Gifted Education.

    ERIC Educational Resources Information Center

    Matthews, Dona

    1988-01-01

    Howard Gardner's Multiple Intelligence construct is considered from the perspective of its viability in gifted education, especially in comparison with the more traditional Intelligence Quotient-based construct of intelligence. Empirical and theoretical support and contradictory findings are discussed from the literature in cognitive science and…

  3. Space applications of automation, robotics and machine intelligence systems (ARAMIS). Volume 4. Application of ARAMIS capabilities to space project functional elements

    SciTech Connect

    Miller, R.H.; Minsky, M.L.; Smith, D.B.S.

    1982-08-01

    Applications of automation, robotics, and machine intelligence systems (ARAMIS) to space activities and their related ground support functions are studied, so that informed decisions can be made on which aspects of ARAMIS to develop. The specific tasks which will be required by future space project tasks are identified and the relative merits of these options are evaluated. The ARAMIS options defined and researched span the range from fully human to fully machine, including a number of intermediate options (e.g., humans assisted by computers, and various levels of teleoperation). By including this spectrum, the study searches for the optimum mix of humans and machines for space project tasks.

  4. Space applications of Automation, Robotics and Machine Intelligence Systems (ARAMIS). Volume 4: Application of ARAMIS capabilities to space project functional elements

    NASA Technical Reports Server (NTRS)

    Miller, R. H.; Minsky, M. L.; Smith, D. B. S.

    1982-01-01

    Applications of automation, robotics, and machine intelligence systems (ARAMIS) to space activities and their related ground support functions are studied, so that informed decisions can be made on which aspects of ARAMIS to develop. The specific tasks which will be required by future space project tasks are identified and the relative merits of these options are evaluated. The ARAMIS options defined and researched span the range from fully human to fully machine, including a number of intermediate options (e.g., humans assisted by computers, and various levels of teleoperation). By including this spectrum, the study searches for the optimum mix of humans and machines for space project tasks.

  5. Intelligent Robots for Factory Automation

    NASA Astrophysics Data System (ADS)

    Hall, E. L.; Oh, S. J.

    1985-04-01

    Industrial robots are now proven technology in a variety of applications including welding, materials handling, spray painting, machine loading and assembly. However, to fully realize the potential of these universal manipulators , "intelligence" needs to be added to the industrial robot. This involves adding sensory capability and machine intelligence to the controls. The "intelligence" may be added externally or as integral components of the robot. These new "intelligent robots" promise to greatly enhance the versatility of the robot for factory applications. The purpose of this paper is to present a brief review of the techniques and applications of intelligent robots for factory automation and to suggest possible designs for the intelligent robot of the future.

  6. Artificial Intelligence.

    ERIC Educational Resources Information Center

    Information Technology Quarterly, 1985

    1985-01-01

    This issue of "Information Technology Quarterly" is devoted to the theme of "Artificial Intelligence." It contains two major articles: (1) Artificial Intelligence and Law" (D. Peter O'Neill and George D. Wood); (2) "Artificial Intelligence: A Long and Winding Road" (John J. Simon, Jr.). In addition, it contains two sidebars: (1) "Calculating and…

  7. Organisational Intelligence

    ERIC Educational Resources Information Center

    Yolles, Maurice

    2005-01-01

    Purpose: Seeks to explore the notion of organisational intelligence as a simple extension of the notion of the idea of collective intelligence. Design/methodology/approach: Discusses organisational intelligence using previous research, which includes the Purpose, Properties and Practice model of Dealtry, and the Viable Systems model. Findings: The…

  8. Artificial Intelligence.

    ERIC Educational Resources Information Center

    Thornburg, David D.

    1986-01-01

    Overview of the artificial intelligence (AI) field provides a definition; discusses past research and areas of future research; describes the design, functions, and capabilities of expert systems and the "Turing Test" for machine intelligence; and lists additional sources for information on artificial intelligence. Languages of AI are…

  9. Competitive Intelligence.

    ERIC Educational Resources Information Center

    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…

  10. Application of Artificial Intelligence technology to the analysis and synthesis of reliable software systems

    NASA Technical Reports Server (NTRS)

    Wild, Christian; Eckhardt, Dave

    1987-01-01

    The development of a methodology for the production of highly reliable software is one of the greatest challenges facing the computer industry. Meeting this challenge will undoubtably involve the integration of many technologies. This paper describes the use of Artificial Intelligence technologies in the automated analysis of the formal algebraic specifications of abstract data types. These technologies include symbolic execution of specifications using techniques of automated deduction and machine learning through the use of examples. On-going research into the role of knowledge representation and problem solving in the process of developing software is also discussed.

  11. An intelligent fiberoptic data bus for fly-by-light applications

    NASA Astrophysics Data System (ADS)

    Manoharan, L. C.; Muthuvel, S.

    An active fiberoptic data bus compatible with MIL-STD-1553B, which could be used for fly-by-light, stores management, AEW etc., on an aircraft has been developed. The data bus is considered intelligent because it can automatically sense which station is in the transmit mode and control the active interface accordingly, so that smooth flow of data takes place on the bus. The tests carried out on the bus including those on the Jaguar Avionics Rig to check its validity are also described. As no software is involved in the operation of the bus, this could be used on any aircraft having its own software.

  12. An Assessment of Artificial Intelligence and Expert Systems Technology for Application to Management of Cockpit Systems.

    DTIC Science & Technology

    1986-09-01

    Space Technology, 40-92, Feb 17. 66 Y)hII I r1,t uIw I Iau111tiua;’t ( uIIuIIIIiiI h -It imh lutt wu’ti 1. lillul 111𔃻 mat ileut. CouiuIuuIulII It a I...since machines are not biological , they need not be constrained in their intellectual activity by what we know of as biological intelligence. New...correlating objects in the left and right images so that their disparity can be assessed. Exactly how a biological visual system does this is not

  13. Applying artificial intelligence to astronomical databases - A survey of applicable technology

    NASA Technical Reports Server (NTRS)

    Rosenthal, Donald A.

    1988-01-01

    AI technologies which are relevant to astronomical data bases are reviewed, including intelligent interfaces, internal representations, and data analysis. The natural language query system developed for the Hubble Space Telescope and the technique of goal directed queries are considered. Two technologies which might lead to the development of pictorial interfaces are presented: one based on Bayesian probabilities, the other on associative memories. The development of a data analysis system which can discover classes of data within a data base without any information other than the data itself is examined. A prototype data analysis assistant to automatically develop and implement plans for data reduction is described.

  14. Identification of Artificial Intelligence (AI) Applications for Maintenance, Monitoring, and Control of Airway Facilities

    DTIC Science & Technology

    1994-05-01

    Goernmeni AcceOn No. 3 . Rweponrs Catalog No. DOT/FAA/CT-TN92 / 4 , I 4. TiO Wid SuW te S. Report Dat Identification of Artificial Intelligence (AI) May...CONTENTS Page EXECUTIVE SUMMARY ix 1. INTRODUCTION I 1.1 Background 1 1.2 Purpose 1 1.3 Scope 2 I.4 Organization 2 2. STUDY APPROACH 3 2. 1 Methodology... 3 2.2 Information Sources 4 3 . CURRENT FAA AF MAINTENANCE OPERATIONS 4 3 . 1 The AF Systems and Maintenance Operations Field Work Force 6 3 . 1. 1 AF

  15. The application of artificial intelligence in the optimal design of mechanical systems

    NASA Astrophysics Data System (ADS)

    Poteralski, A.; Szczepanik, M.

    2016-11-01

    The paper is devoted to new computational techniques in mechanical optimization where one tries to study, model, analyze and optimize very complex phenomena, for which more precise scientific tools of the past were incapable of giving low cost and complete solution. Soft computing methods differ from conventional (hard) computing in that, unlike hard computing, they are tolerant of imprecision, uncertainty, partial truth and approximation. The paper deals with an application of the bio-inspired methods, like the evolutionary algorithms (EA), the artificial immune systems (AIS) and the particle swarm optimizers (PSO) to optimization problems. Structures considered in this work are analyzed by the finite element method (FEM), the boundary element method (BEM) and by the method of fundamental solutions (MFS). The bio-inspired methods are applied to optimize shape, topology and material properties of 2D, 3D and coupled 2D/3D structures, to optimize the termomechanical structures, to optimize parameters of composites structures modeled by the FEM, to optimize the elastic vibrating systems to identify the material constants for piezoelectric materials modeled by the BEM and to identify parameters in acoustics problem modeled by the MFS.

  16. 45 CFR 96.49 - Due date for receipt of all information required for completion of tribal applications for the...

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... 45 Public Welfare 1 2010-10-01 2010-10-01 false Due date for receipt of all information required for completion of tribal applications for the low-income home energy assistance block grants. 96.49 Section 96.49 Public Welfare DEPARTMENT OF HEALTH AND HUMAN SERVICES GENERAL ADMINISTRATION BLOCK GRANTS Direct Funding of Indian Tribes and...

  17. Nonconscious intelligence in the Universe

    NASA Astrophysics Data System (ADS)

    Raup, David M.

    Animals lacking humanoid intelligence have evolved systems indistinguishable in function, if not in structure, from systems built by humans. Although radio communication has never been verified in animals, it is completely feasible biologically. If such systems are present in non-intelligent organisms on other planets, then our chances of detecting life in the universe by current SETI methods are greatly enhanced.

  18. Nonconscious intelligence in the universe

    NASA Technical Reports Server (NTRS)

    Raup, D. M.

    1992-01-01

    Animals lacking humanoid intelligence have evolved systems indistinguishable in function, if not in structure, from systems built by humans. Although radio communication has never been verified in animals, it is completely feasible biologically. If such systems are present in non-intelligent organisms on other planets, then our chances of detecting life in the universe by current SETI methods are greatly enhanced.

  19. Artificial Intelligence: An Analysis of Potential Applications to Training, Performance Measurement, and Job Performance Aiding. Interim Report for Period September 1982-July 1983.

    ERIC Educational Resources Information Center

    Richardson, J. Jeffrey

    This paper is part of an Air Force planning effort to develop a research, development, and applications program for the use of artificial intelligence (AI) technology in three target areas: training, performance measurement, and job performance aiding. The paper is organized in five sections that (1) introduce the reader to AI and those subfields…

  20. Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. January 1, 1996--March 31, 1996

    SciTech Connect

    Kerr, D.R.; Thompson, L.G.; Shenoi, S.

    1996-05-01

    The basis of this research is to apply novel techniques from artificial Intelligence and Expert Systems in capturing, integrating and articulating key knowledge from geology, geostatistics, and petroleum engineering to develop accurate descriptions of petroleum reservoirs. The ultimate goal is to design and implement a single powerful expert system for use by small producers and independents to efficiently exploit reservoirs. The main challenge of the proposed research is to automate the generation of detailed reservoir descriptions honoring all the available ``software`` and ``hardware`` data that ranges from qualitative and semi-quantitative geological interpretations to numeric data obtained from cores, well tests, well logs and production statistics. In this sense, the proposed research project is truly multidisciplinary. It involves significant amount of information exchange between researchers in geology, geostatistics, and petroleum engineering. Computer science (and artificial intelligence) provides the means to effectively acquire, integrate and automate the key expertise in the various disciplines in a reservoir characterization expert system. Additional challenges are the verification and validation of the expert system, since much of the interpretation of the experts is based on extended experience in reservoir characterization. Accomplishments to date are discussed.

  1. Swarm intelligence based wavelet coefficient feature selection for mass spectral classification: an application to proteomics data.

    PubMed

    Zhao, Weixiang; Davis, Cristina E

    2009-09-28

    This paper introduces the ant colony algorithm, a novel swarm intelligence based optimization method, to select appropriate wavelet coefficients from mass spectral data as a new feature selection method for ovarian cancer diagnostics. By determining the proper parameters for the ant colony algorithm (ACA) based searching algorithm, we perform the feature searching process for 100 times with the number of selected features fixed at 5. The results of this study show: (1) the classification accuracy based on the five selected wavelet coefficients can reach up to 100% for all the training, validating and independent testing sets; (2) the eight most popular selected wavelet coefficients of the 100 runs can provide 100% accuracy for the training set, 100% accuracy for the validating set, and 98.8% accuracy for the independent testing set, which suggests the robustness and accuracy of the proposed feature selection method; and (3) the mass spectral data corresponding to the eight popular wavelet coefficients can be located by reverse wavelet transformation and these located mass spectral data still maintain high classification accuracies (100% for the training set, 97.6% for the validating set, and 98.8% for the testing set) and also provide sufficient physical and medical meaning for future ovarian cancer mechanism studies. Furthermore, the corresponding mass spectral data (potential biomarkers) are in good agreement with other studies which have used the same sample set. Together these results suggest this feature extraction strategy will benefit the development of intelligent and real-time spectroscopy instrumentation based diagnosis and monitoring systems.

  2. Application of radio control cars as intelligent unmanned ground vehicles with collaborative and independent behavior

    NASA Astrophysics Data System (ADS)

    Wasson, Steven R.; Kouns, John; Bruder, Stephen; Wedeward, Kevin; El-Osery, Aly

    2004-09-01

    Simple radio control cars commonly sold as toys can provide a viable starting platform for the development of low-cost intelligent Unmanned Ground Vehicles (UGVs) for the study of robot collectives. In a collaborative effort, Sandia National Labs and New Mexico Tech have successfully demonstrated proof-of-concept by utilizing low-cost radio control cars manufactured by Nikko. Initial tests have involved using a small number (two to ten) of these UGVs to successfully demonstrate both collaborative and independent behavior simultaneously. In the tests individuals share their locations with the collective to cover an area, thus demonstrating collaborative behavior. Independent behavior is demonstrated as each member of the collective maintains a desired compass heading while simultaneously avoiding obstacles in its path. These UGVs are powered by high-capacity rechargeable batteries and equipped with a custom-designed microcontroller board with a stackable modular interface and wireless communication. The initial modular sensor configuration includes a digital compass and GPS unit for navigation as well as ultrasonic sensors for obstacle avoidance. This paper describes the design and operations of these UGVs, their possible uses, and the advantages of using a radio control car platform as a low-cost starting point for the development of intelligent UGV collectives.

  3. Contraction of completeness-optimized basis sets: application to ground-state electron momentum densities.

    PubMed

    Lehtola, Susi; Manninen, Pekka; Hakala, Mikko; Hämäläinen, Keijo

    2013-01-28

    Completeness-optimization is a novel method for the formation of one-electron basis sets. Contrary to conventional methods of basis set generation that optimize the basis set with respect to ground-state energy, completeness-optimization is a completely general, black-box method that can be used to form cost-effective basis sets for any wanted property at any level of theory. In our recent work [J. Lehtola, P. Manninen, M. Hakala, and K. Hämäläinen, J. Chem. Phys. 137, 104105 (2012)] we applied the completeness-optimization approach to forming primitive basis sets tuned for calculations of the electron momentum density at the Hartree-Fock (HF) level of theory. The current work extends the discussion to contracted basis sets and to the post-HF level of theory. Contractions are found to yield significant reductions in the amount of functions without compromising the accuracy. We suggest polarization-consistent and correlation-consistent basis sets for the first three rows of the periodic table, which are completeness-optimized for electron momentum density calculations.

  4. Artificial intelligence and space power systems automation

    NASA Technical Reports Server (NTRS)

    Weeks, David J.

    1987-01-01

    Various applications of artificial intelligence to space electrical power systems are discussed. An overview is given of completed, on-going, and planned knowledge-based system activities. These applications include the Nickel-Cadmium Battery Expert System (NICBES) (the expert system interfaced with the Hubble Space Telescope electrical power system test bed); the early work with the Space Station Experiment Scheduler (SSES); the three expert systems under development in the space station advanced development effort in the core module power management and distribution system test bed; planned cooperation of expert systems in the Core Module Power Management and Distribution (CM/PMAD) system breadboard with expert systems for the space station at other research centers; and the intelligent data reduction expert system under development.

  5. An application of artificial intelligence to the interpretation of mass spectra.

    NASA Technical Reports Server (NTRS)

    Buchanan, B. G.; Duffield, A. M.; Robertson, A. V.

    1971-01-01

    Description of the DENDRAL (Dendritic Algorithm) project, the objectives of which were to base the computer program on an alogorithm that generates an exhaustive, nonredundant list of all the structural isomers of a given chemical composition, and to devise a computer program that would perform an organic structure determination, given a molecular formula and a mass spectrum. This program is called 'Heuristic DENDRAL' and it operates by using the known structure/spectrum correlations to constrain the DENDRAL isomer generator to produce a single isomer for that composition. The collaboration of chemists and computer scientists has produced a tool of some practical utility from the chemical viewpoint, and an interesting program from the viewpoint of artificial intelligence.

  6. Distributed intelligent control and management (DICAM) applications and support for semi-automated development

    NASA Technical Reports Server (NTRS)

    Hayes-Roth, Frederick; Erman, Lee D.; Terry, Allan; Hayes-Roth, Barbara

    1992-01-01

    We have recently begun a 4-year effort to develop a new technology foundation and associated methodology for the rapid development of high-performance intelligent controllers. Our objective in this work is to enable system developers to create effective real-time systems for control of multiple, coordinated entities in much less time than is currently required. Our technical strategy for achieving this objective is like that in other domain-specific software efforts: analyze the domain and task underlying effective performance, construct parametric or model-based generic components and overall solutions to the task, and provide excellent means for specifying, selecting, tailoring or automatically generating the solution elements particularly appropriate for the problem at hand. In this paper, we first present our specific domain focus, briefly describe the methodology and environment we are developing to provide a more regular approach to software development, and then later describe the issues this raises for the research community and this specific workshop.

  7. Application of intelligent techniques for classification of bacteria using protein sequence-derived features.

    PubMed

    Banerjee, Amit Kumar; Ravi, Vadlamani; Murty, U S N; Sengupta, Neelava; Karuna, Batepatti

    2013-07-01

    Standard molecular experimental methodologies and mathematical procedures often fail to answer many phylogeny and classification related issues. Modern artificial intelligent-based techniques, such as radial basis function, genetic algorithm, artificial neural network, and support vector machines are of ample potential in this regard. Reliance on a large number of essential parameters will aid in enhanced robustness, reliability, and better accuracy as opposed to single molecular parameter. This study was conducted with dataset of computed protein physicochemical properties belonging to 20 different bacterial genera. A total of 57 sequential and structural parameters derived from protein sequences were considered for the initial classification. Feature selection based techniques were employed to find out the most important features influencing the dataset. Various amino acids, hydrophobicity, relative sulfur percentage, and codon number were selected as important parameters during the study. Comparative analyses were performed applying RapidMiner data mining platform. Support vector machine proved to be the best method with maximum accuracy of more than 91%.

  8. A survey on the design of multiprocessing systems for artificial intelligence applications

    NASA Technical Reports Server (NTRS)

    Wah, Benjamin W.; Li, Guo Jie

    1989-01-01

    Some issues in designing computers for artificial intelligence (AI) processing are discussed. These issues are divided into three levels: the representation level, the control level, and the processor level. The representation level deals with the knowledge and methods used to solve the problem and the means to represent it. The control level is concerned with the detection of dependencies and parallelism in the algorithmic and program representations of the problem, and with the synchronization and sheduling of concurrent tasks. The processor level addresses the hardware and architectural components needed to evaluate the algorithmic and program representations. Solutions for the problems of each level are illustrated by a number of representative systems. Design decisions in existing projects on AI computers are classed into top-down, bottom-up, and middle-out approaches.

  9. Open source hardware and software platform for robotics and artificial intelligence applications

    NASA Astrophysics Data System (ADS)

    Liang, S. Ng; Tan, K. O.; Lai Clement, T. H.; Ng, S. K.; Mohammed, A. H. Ali; Mailah, Musa; Azhar Yussof, Wan; Hamedon, Zamzuri; Yussof, Zulkifli

    2016-02-01

    Recent developments in open source hardware and software platforms (Android, Arduino, Linux, OpenCV etc.) have enabled rapid development of previously expensive and sophisticated system within a lower budget and flatter learning curves for developers. Using these platform, we designed and developed a Java-based 3D robotic simulation system, with graph database, which is integrated in online and offline modes with an Android-Arduino based rubbish picking remote control car. The combination of the open source hardware and software system created a flexible and expandable platform for further developments in the future, both in the software and hardware areas, in particular in combination with graph database for artificial intelligence, as well as more sophisticated hardware, such as legged or humanoid robots.

  10. Construction and application of an intelligent air quality monitoring system for healthcare environment.

    PubMed

    Yang, Chao-Tung; Liao, Chi-Jui; Liu, Jung-Chun; Den, Walter; Chou, Ying-Chyi; Tsai, Jaw-Ji

    2014-02-01

    Indoor air quality monitoring in healthcare environment has become a critical part of hospital management and policy. Manual air sampling and analysis are cost-inhibitive and do not provide real-time air quality data and response measures. In this month-long study over 14 sampling locations in a public hospital in Taiwan, we observed a positive correlation between CO(2) concentration and population, total bacteria, and particulate matter concentrations, thus monitoring CO(2) concentration as a general indicator for air quality could be a viable option. Consequently, an intelligent environmental monitoring system consisting of a CO(2)/temperature/humidity sensor, a digital plug, and a ZigBee Router and Coordinator was developed and tested. The system also included a backend server that received and analyzed data, as well as activating ventilation and air purifiers when CO(2) concentration exceeded a pre-set value. Alert messages can also be delivered to offsite users through mobile devices.

  11. Application of stochastic Galerkin FEM to the complete electrode model of electrical impedance tomography

    SciTech Connect

    Leinonen, Matti Hakula, Harri Hyvönen, Nuutti

    2014-07-15

    The aim of electrical impedance tomography is to determine the internal conductivity distribution of some physical body from boundary measurements of current and voltage. The most accurate forward model for impedance tomography is the complete electrode model, which consists of the conductivity equation coupled with boundary conditions that take into account the electrode shapes and the contact resistances at the corresponding interfaces. If the reconstruction task of impedance tomography is recast as a Bayesian inference problem, it is essential to be able to solve the complete electrode model forward problem with the conductivity and the contact resistances treated as a random field and random variables, respectively. In this work, we apply a stochastic Galerkin finite element method to the ensuing elliptic stochastic boundary value problem and compare the results with Monte Carlo simulations.

  12. CVSD intelligibility testing

    NASA Astrophysics Data System (ADS)

    Gilmer, J. M.

    Tests of the voice intelligibility of a 16-kilobit per second Continuously Variabale Slope Delta (CVSD) modulation for JTIDS applications are described. A Diagnostic Rhyme Test (DRT), a standard subjective intelligibility measure, was used to provide a reliable quantitative basis for judgement/comparisons of the CVSD performance under variouus test conditions (single-speaker mode, double speaker-mode, and masking channel mode). The DRT intelligibility score at each test condition characterizes the ability of the channel to provide the various psychoacoustic cues needed to distinguish words in a message. The physical hardware used in DRT evaluations is described in detail. The procedures used to collect and reduce the data to a meaningful form are outlined, and some mathematical models for characterizing DRT intelligibility are developed.

  13. Priming Ability Emotional Intelligence

    ERIC Educational Resources Information Center

    Schutte, Nicola S.; Malouff, John M.

    2012-01-01

    Two studies examined whether priming self-schemas relating to successful emotional competency results in better emotional intelligence performance. In the first study participants were randomly assigned to a successful emotional competency self-schema prime condition or a control condition and then completed an ability measure of emotional…

  14. Plant intelligence.

    PubMed

    Trewavas, Anthony

    2005-09-01

    Intelligent behavior is a complex adaptive phenomenon that has evolved to enable organisms to deal with variable environmental circumstances. Maximizing fitness requires skill in foraging for necessary resources (food) in competitive circumstances and is probably the activity in which intelligent behavior is most easily seen. Biologists suggest that intelligence encompasses the characteristics of detailed sensory perception, information processing, learning, memory, choice, optimisation of resource sequestration with minimal outlay, self-recognition, and foresight by predictive modeling. All these properties are concerned with a capacity for problem solving in recurrent and novel situations. Here I review the evidence that individual plant species exhibit all of these intelligent behavioral capabilities but do so through phenotypic plasticity, not movement. Furthermore it is in the competitive foraging for resources that most of these intelligent attributes have been detected. Plants should therefore be regarded as prototypical intelligent organisms, a concept that has considerable consequences for investigations of whole plant communication, computation and signal transduction.

  15. The Convergence of Intelligences

    NASA Astrophysics Data System (ADS)

    Diederich, Joachim

    Minsky (1985) argued an extraterrestrial intelligence may be similar to ours despite very different origins. ``Problem- solving'' offers evolutionary advantages and individuals who are part of a technical civilisation should have this capacity. On earth, the principles of problem-solving are the same for humans, some primates and machines based on Artificial Intelligence (AI) techniques. Intelligent systems use ``goals'' and ``sub-goals'' for problem-solving, with memories and representations of ``objects'' and ``sub-objects'' as well as knowledge of relations such as ``cause'' or ``difference.'' Some of these objects are generic and cannot easily be divided into parts. We must, therefore, assume that these objects and relations are universal, and a general property of intelligence. Minsky's arguments from 1985 are extended here. The last decade has seen the development of a general learning theory (``computational learning theory'' (CLT) or ``statistical learning theory'') which equally applies to humans, animals and machines. It is argued that basic learning laws will also apply to an evolved alien intelligence, and this includes limitations of what can be learned efficiently. An example from CLT is that the general learning problem for neural networks is intractable, i.e. it cannot be solved efficiently for all instances (it is ``NP-complete''). It is the objective of this paper to show that evolved intelligences will be constrained by general learning laws and will use task-decomposition for problem-solving. Since learning and problem-solving are core features of intelligence, it can be said that intelligences converge despite very different origins.

  16. Adverse Outcome Pathways for Regulatory Applications: Examination of Four Case Studies With Different Degrees of Completeness and Scientific Confidence.

    PubMed

    Perkins, Edward J; Antczak, Philipp; Burgoon, Lyle; Falciani, Francesco; Garcia-Reyero, Natàlia; Gutsell, Steve; Hodges, Geoff; Kienzler, Aude; Knapen, Dries; McBride, Mary; Willett, Catherine

    2015-11-01

    Adverse outcome pathways (AOPs) offer a pathway-based toxicological framework to support hazard assessment and regulatory decision-making. However, little has been discussed about the scientific confidence needed, or how complete a pathway should be, before use in a specific regulatory application. Here we review four case studies to explore the degree of scientific confidence and extent of completeness (in terms of causal events) that is required for an AOP to be useful for a specific purpose in a regulatory application: (i) Membrane disruption (Narcosis) leading to respiratory failure (low confidence), (ii) Hepatocellular proliferation leading to cancer (partial pathway, moderate confidence), (iii) Covalent binding to proteins leading to skin sensitization (high confidence), and (iv) Aromatase inhibition leading to reproductive dysfunction in fish (high confidence). Partially complete AOPs with unknown molecular initiating events, such as 'Hepatocellular proliferation leading to cancer', were found to be valuable. We demonstrate that scientific confidence in these pathways can be increased though the use of unconventional information (eg, computational identification of potential initiators). AOPs at all levels of confidence can contribute to specific uses. A significant statistical or quantitative relationship between events and/or the adverse outcome relationships is a common characteristic of AOPs, both incomplete and complete, that have specific regulatory uses. For AOPs to be useful in a regulatory context they must be at least as useful as the tools that regulators currently possess, or the techniques currently employed by regulators.

  17. Complete and Incomplete Hepatitis B Virus Particles: Formation, Function, and Application

    PubMed Central

    Hu, Jianming; Liu, Kuancheng

    2017-01-01

    Hepatitis B virus (HBV) is a para-retrovirus or retroid virus that contains a double-stranded DNA genome and replicates this DNA via reverse transcription of a RNA pregenome. Viral reverse transcription takes place within a capsid upon packaging of the RNA and the viral reverse transcriptase. A major characteristic of HBV replication is the selection of capsids containing the double-stranded DNA, but not those containing the RNA or the single-stranded DNA replication intermediate, for envelopment during virion secretion. The complete HBV virion particles thus contain an outer envelope, studded with viral envelope proteins, that encloses the capsid, which, in turn, encapsidates the double-stranded DNA genome. Furthermore, HBV morphogenesis is characterized by the release of subviral particles that are several orders of magnitude more abundant than the complete virions. One class of subviral particles are the classical surface antigen particles (Australian antigen) that contain only the viral envelope proteins, whereas the more recently discovered genome-free (empty) virions contain both the envelope and capsid but no genome. In addition, recent evidence suggests that low levels of RNA-containing particles may be released, after all. We will summarize what is currently known about how the complete and incomplete HBV particles are assembled. We will discuss briefly the functions of the subviral particles, which remain largely unknown. Finally, we will explore the utility of the subviral particles, particularly, the potential of empty virions and putative RNA virions as diagnostic markers and the potential of empty virons as a vaccine candidate. PMID:28335554

  18. The Life Cycle Application of Intelligent Software Modeling for the First Materials Science Research Rack

    NASA Technical Reports Server (NTRS)

    Rice, Amanda; Parris, Frank; Nerren, Philip

    2000-01-01

    Marshall Space Flight Center (MSFC) has been funding development of intelligent software models to benefit payload ground operations for nearly a decade. Experience gained from simulator development and real-time monitoring and control is being applied to engineering design, testing, and operation of the First Material Science Research Rack (MSRR-1). MSRR-1 is the first rack in a suite of three racks comprising the Materials Science Research Facility (MSRF) which will operate on the International Space Station (ISS). The MSRF will accommodate advanced microgravity investigations in areas such as the fields of solidification of metals and alloys, thermo-physical properties of polymers, crystal growth studies of semiconductor materials, and research in ceramics and glasses. The MSRR-1 is a joint venture between NASA and the European Space Agency (ESA) to study the behavior of different materials during high temperature processing in a low gravity environment. The planned MSRR-1 mission duration is five (5) years on-orbit and the total design life is ten (IO) years. The MSRR-1 launch is scheduled on the third Utilization Flight (UF-3) to ISS, currently in February of 2003). The objective of MSRR-1 is to provide an early capability on the ISS to conduct material science, materials technology, and space product research investigations in microgravity. It will provide a modular, multi-user facility for microgravity research in materials crystal growth and solidification. An intelligent software model of MSRR-1 is under development and will serve multiple purposes to support the engineering analysis, testing, training, and operational phases of the MSRR-1 life cycle development. The G2 real-time expert system software environment developed by Gensym Corporation was selected as the intelligent system shell for this development work based on past experience gained and the effectiveness of the programming environment. Our approach of multi- uses of the simulation model and

  19. Boundedness of completely additive measures with application to 2-local triple derivations

    NASA Astrophysics Data System (ADS)

    Hamhalter, Jan; Kudaybergenov, Karimbergen; Peralta, Antonio M.; Russo, Bernard

    2016-02-01

    We prove a Jordan version of Dorofeev's boundedness theorem for completely additive measures and use it to show that every (not necessarily linear nor continuous) 2-local triple derivation on a continuous JBW∗-triple is a triple derivation. 2-local triple derivations are well understood on von Neumann algebras. JBW*-triples, which are properly defined in Section I, are intimately related to infinite dimensional holomorphy and include von Neumann algebras as special cases. In particular, continuous JBW∗-triples can be realized as subspaces of continuous von Neumann algebras which are stable for the triple product xy∗z + zy∗x and closed in the weak operator topology.

  20. 76 FR 70752 - Deadline for Submitting Completed Applications To Begin Participation in the Tribal Self...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-11-15

    ... Tribal Self-Governance Program in Fiscal Year 2013 or Calendar Year 2013 AGENCY: Office of Self-Governance, Bureau of Indian Affairs, Interior. ACTION: Notice of Application Deadline. SUMMARY: In this notice, the Office of Self-Governance (OSG) establishes a March 1, 2012, deadline for Indian...

  1. 76 FR 5395 - Notice of Deadline for Submitting Completed Applications To Begin Participation in the Tribal...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-01-31

    ... Collection This information collection is authorized by OMB Control Number 1076-0143, Tribal Self-Governance... in the Tribal Self-Governance Program in Fiscal Year 2012 or Calendar Year 2012 AGENCY: Office of Self-Governance, Interior. ACTION: Notice of Application Deadline. SUMMARY: In this notice, the...

  2. 7 CFR 1944.410 - Processing preapplications, applications, and completing grant dockets.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... AD-622, “Notice of Preapplication Review Action.” (ii) If the applicant is determined not eligible, the State Director will direct the District Director to issue Form AD-622. (c) Form AD-622, “Notice of... 1940-20 to the District Office, the District Director will, within 10 days, prepare and issue Form...

  3. Application of Shuttle EVA Systems to Payloads. Volume 2: Payload EVA Task Completion Plans

    NASA Technical Reports Server (NTRS)

    1976-01-01

    Candidate payload tasks for EVA application were identified and selected, based on an analysis of four representative space shuttle payloads, and typical EVA scenarios with supporting crew timelines and procedures were developed. The EVA preparations and post EVA operations, as well as the timelines emphasizing concurrent payload support functions, were also summarized.

  4. Artificial Intelligence,

    DTIC Science & Technology

    PATTERN RECOGNITION, * ARTIFICIAL INTELLIGENCE , *TEXTBOOKS, COMPUTER PROGRAMMING, MATHEMATICAL LOGIC, ROBOTS, PROBLEM SOLVING, STATISTICAL ANALYSIS, GAME THEORY, NATURAL LANGUAGE, SELF ORGANIZING SYSTEMS.

  5. A priori complete active space self consistent field localized orbitals: an application on linear polyenes

    NASA Astrophysics Data System (ADS)

    Angeli, Celestino; Sparta, Manuel; Cimiraglia, Renzo

    2006-03-01

    A recently proposed a priori localization technique is used to exploit the possibility to reduce the number of active orbitals in a Complete Active Space Self Consistent Field calculation. The work relies on the fact that the new approach allows a strict control on the nature of the active orbitals and therefore makes it possible to include in the active space only the relevant orbitals. The idea is tested on the calculation of the energy barrier for rigid rotation of linear polyenes. In order to obtain a relevant set of data, a number of possible rotations around double bonds have been considered in the ethylene, butadiene, hexatriene, octatetraene, decapentaene, dodecahexaene molecules. The possibility to reduce the dimension of the active space has been investigated, considering for each possible rotation different active spaces ranging from the minimal dimension of 2 electrons in 2 π orbitals to the π-complete space. The results show that the rigid isomerization in the polyene molecules can be described with a negligible loss in accuracy with active spaces no larger than ten orbitals and ten electrons. In the special case of the rotation around the terminal double bond, the space can be further reduced to six orbitals and six electrons with a large decrease of the computational cost. An interesting summation rule has been found and verified for the stabilization of the energy barriers as a function of the dimension of the conjugated lateral chains and of the dimension of the active space.

  6. Gender, "g", and Fixed versus Growth Intelligence Mindsets as Predictors of Self-Estimated Domain Masculine Intelligence (DMIQ)

    ERIC Educational Resources Information Center

    Storek, Josephine; Furnham, Adrian

    2013-01-01

    Over 120 participants completed three timed intelligence tests, a self-estimated Domain Masculine (DMIQ) Intelligence scale, and a mindset "beliefs about intelligence" measure (Dweck, 2012) to examine correlates of the Hubris-Humility Effect (HHE) which shows males believe they are more intelligent than females. As predicted males gave…

  7. Halmahera (Molukkas): terrain intelligence

    USGS Publications Warehouse

    ,

    1944-01-01

    This folio was rushed to completion on urgent request from the Strategic Intelligence Branch, Office of Chief of Engineers. The geologists, soils scientists, and ground-water hydrologists had completed their studies in manu- script form, but time was not available for editing the folio, coordinating its different parts, or checking it for inconsistencies. Parts of the text have not even been proof-read for typing mistakes.

  8. Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. Final report, August 31, 1997

    SciTech Connect

    Kerr, D.R.; Thompson, L.G.; Shenoi, S.

    1998-03-01

    The primary goal of the project is to develop a user-friendly computer program to integrate geological and engineering information using Artificial Intelligence (AI) methodology. The project is restricted to fluvially dominated deltaic environments. The static information used in constructing the reservoir description includes well core and log data. Using the well core and the log data, the program identifies the marker beds, and the type of sand facies, and in turn, develops correlations between wells. Using the correlations and sand facies, the program is able to generate multiple realizations of sand facies and petrophysical properties at interwell locations using geostatistical techniques. The generated petrophysical properties are used as input in the next step where the production data are honored. By adjusting the petrophysical properties, the match between the simulated and the observed production rates is obtained. Although all the components within the overall system are functioning, the integration of dynamic data may not be practical due to the single-phase flow limitations and the computationally intensive algorithms. The future work needs to concentrate on making the dynamic data integration computationally efficient.

  9. Intelligent surgical instrument system ISIS. Concept and preliminary experimental application of components and prototypes.

    PubMed

    Melzer, A; Schurr, M O; Kunert, W; Buess, G; Voges, U; Meyer, J U

    1993-06-01

    The recent progress in endoscopic surgery, which is highlighted by the complexity of fundoplication, stomach surgery and colorectal surgery, has revealed major restrictions with difficult surgical manipulations. Mobilisation, dissection and suturing techniques are hampered mainly by the limited degrees of freedom of the conventional rigid instruments (translation along and rotation around the longitudinal axis and the limited play in the access channel). The frequent interchange of instruments such as coagulation forceps, scissors and suction-irrigation probe is time-consuming. We have established an interdisciplinary development model with the aim of improving surgical technology, instrument systems, the operation theatre and its environment. Concepts of electronic instrument control and sensoric feedback, and the features of the surgical man-machine-interface are described. The first prototypes of an intelligent steerable instrument system, ISIS, and its optional effectors, e.g. semiautomatic sewing device and multifunctional coagulation instrument, were tested in phantom and animal experiments. System analysis will lead to specially designed operating theatres (minimal invasive surgical operating system MINOS).

  10. An artificial intelligence framework for compensating transgressions and its application to diet management.

    PubMed

    Anselma, Luca; Mazzei, Alessandro; Michieli, Franco De

    2017-02-27

    Today, there is considerable interest in personal healthcare. The pervasiveness of technology allows to precisely track human behavior; however, when dealing with the development of an intelligent assistant exploiting data acquired through such technologies, a critical issue has to be taken into account; namely, that of supporting the user in the event of any transgression with respect to the optimal behavior. In this paper we present a reasoning framework based on Simple Temporal Problems that can be applied to a general class of problems,, which we called "cake&carrot problems", to support reasoning in presence of human transgression. The reasoning framework offers a number of facilities to ensure a smart management of possible "wrong behaviors" by a user to reach the goals defined by the problem. This paper describes the framework by means of the prototypical use case of diet domain. Indeed, following a healthy diet can be a difficult task for both practical and psychological reasons and dietary transgressions are hard to avoid. Therefore, the framework is tolerant to dietary transgressions and adapts the following meals to facilitate users in recovering from such transgressions. Finally, through a simulation involving a real hospital menu, we show that the framework can effectively achieve good results in a realistic scenario.

  11. Intelligent Systems for Aerospace Engineering: An Overview

    NASA Technical Reports Server (NTRS)

    Krishnakumar, Kalmanje; Clancey, Daniel (Technical Monitor)

    2002-01-01

    Intelligent systems are nature-inspired, mathematically sound, computationally intensive problem solving tools and methodologies that have become extremely important for advancing the current trends in information technology. Artificially intelligent systems currently utilize computers to emulate various faculties of human intelligence and biological metaphors. They use a combination of symbolic and sub-symbolic systems capable of evolving human cognitive skills and intelligence, not just systems capable of doing things humans do not do well. Intelligent systems are ideally suited for tasks such as search and optimization, pattern recognition and matching, planning, uncertainty management, control, and adaptation. In this paper, the intelligent system technologies and their application potential are highlighted via several examples.

  12. Intelligent Systems For Aerospace Engineering: An Overview

    NASA Technical Reports Server (NTRS)

    KrishnaKumar, K.

    2003-01-01

    Intelligent systems are nature-inspired, mathematically sound, computationally intensive problem solving tools and methodologies that have become extremely important for advancing the current trends in information technology. Artificially intelligent systems currently utilize computers to emulate various faculties of human intelligence and biological metaphors. They use a combination of symbolic and sub-symbolic systems capable of evolving human cognitive skills and intelligence, not just systems capable of doing things humans do not do well. Intelligent systems are ideally suited for tasks such as search and optimization, pattern recognition and matching, planning, uncertainty management, control, and adaptation. In this paper, the intelligent system technologies and their application potential are highlighted via several examples.

  13. Nanosponges - a completely new nano-horizon: pharmaceutical applications and recent advances.

    PubMed

    Ahmed, Rana Z; Patil, Gunjan; Zaheer, Zahid

    2013-09-01

    In recent years, nanosponges (NS) have gained tremendous impetus in drug delivery through nanotechnology. Nanosponges are capable of providing solutions for several formulation related problems. Through this review, scientists working in the field of nanotechnology can have an insight into the techniques of preparation, characterization and applications of NS. Owing to their small size and porous nature they can bind poorly-soluble drugs within their matrix and improve their bioavailability. They can be crafted for targeting drugs to specific sites, prevent drug and protein degradation and prolong drug release in a controlled manner. This review attempts to elaborate different schemes of synthesis of NS and their characterization. Factors affecting drug loading and release have been enumerated. Due to their advantages, NS have not only been explored for their pharmaceutical applications but also have large popularity in allied sciences, especially in water purification.

  14. Robotics and Intelligent Systems Program

    SciTech Connect

    Not Available

    1987-06-01

    This report gives brief descriptions of the projects associated with the Robotics and Intelligent Systems Program (RISP). Projects included in the report are (1) Remote Operations Demonstration Facility; (2) M-2 Servomanipulator; (3) The Advanced Servomanipulator; (4) Hostile Environment Robotic Machine Intelligence Experiment Series robots); and (5) Telerobotic Concepts. These devices have application in nuclear industry and space environments. (JDH)

  15. In Pursuit of Artificial Intelligence.

    ERIC Educational Resources Information Center

    Watstein, Sarah; Kesselman, Martin

    1986-01-01

    Defines artificial intelligence and reviews current research in natural language processing, expert systems, and robotics and sensory systems. Discussion covers current commercial applications of artificial intelligence and projections of uses and limitations in library technical and public services, e.g., in cataloging and online information and…

  16. Intelligent Information Retrieval: An Introduction.

    ERIC Educational Resources Information Center

    Gauch, Susan

    1992-01-01

    Discusses the application of artificial intelligence to online information retrieval systems and describes several systems: (1) CANSEARCH, from MEDLINE; (2) Intelligent Interface for Information Retrieval (I3R); (3) Gausch's Query Reformulation; (4) Environmental Pollution Expert (EP-X); (5) PLEXUS (gardening); and (6) SCISOR (corporate…

  17. Improving Understanding and Trust with Intelligibility in Context-Aware Applications

    ERIC Educational Resources Information Center

    Lim, Brian Y.

    2012-01-01

    To facilitate everyday activities, context-aware applications use sensors to detect what is happening and use increasingly complex mechanisms ( e.g., by using big rule-sets or machine learning) to infer the user's context and intent. For example, a mobile application can recognize that the user is in a conversation and suppress any incoming…

  18. Application of hierarchical dissociated neural network in closed-loop hybrid system integrating biological and mechanical intelligence.

    PubMed

    Li, Yongcheng; Sun, Rong; Zhang, Bin; Wang, Yuechao; Li, Hongyi

    2015-01-01

    Neural networks are considered the origin of intelligence in organisms. In this paper, a new design of an intelligent system merging biological intelligence with artificial intelligence was created. It was based on a neural controller bidirectionally connected to an actual mobile robot to implement a novel vehicle. Two types of experimental preparations were utilized as the neural controller including 'random' and '4Q' (cultured neurons artificially divided into four interconnected parts) neural network. Compared to the random cultures, the '4Q' cultures presented absolutely different activities, and the robot controlled by the '4Q' network presented better capabilities in search tasks. Our results showed that neural cultures could be successfully employed to control an artificial agent; the robot performed better and better with the stimulus because of the short-term plasticity. A new framework is provided to investigate the bidirectional biological-artificial interface and develop new strategies for a future intelligent system using these simplified model systems.

  19. Illusory Intelligences?

    ERIC Educational Resources Information Center

    White, John

    2008-01-01

    Howard Gardner's theory of Multiple Intelligences has had a huge influence on school education. But its credentials lack justification, as the first section of this paper shows via a detailed philosophical analysis of how the intelligences are identified. If we want to make sense of the theory, we need to turn from a philosophical to a historical…

  20. Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. Annual report, October 1994--October 1995

    SciTech Connect

    Kerr, D.; Thompson, L.; Shenoi, S.

    1996-01-01

    The basis of this research is to apply novel techniques from Artificial Intelligence and Expert Systems in capturing, integrating and articulating key knowledge from geology, geostatistics, and petroleum engineering to develop accurate descriptions of petroleum reservoirs. The ultimate goal is to design and implement a single powerful expert system for use by small producers and independents to efficiently exploit reservoirs. The main challenge of the proposed research is to automate the generation of detailed reservoir descriptions honoring all the available soft and hard data that ranges from qualitative and semi-quantitative geological interpretations to numeric data obtained from cores, well tests, well logs and production statistics. Additional challenges are the verification and validation of the expert system, since much of the interpretation of the experts is based on extended experience in reservoir characterization. The overall project plan to design the system to create integrated reservoir descriptions begins by initially developing an AI-based methodology for producing large-scale reservoir descriptions generated interactively from geology and well test data. Parallel to this task is a second task that develops an AI-based methodology that uses facies-biased information to generate small-scale descriptions of reservoir properties such as permeability and porosity. The third task involves consolidation and integration of the large-scale and small-scale methodologies to produce reservoir descriptions honoring all the available data. The final task will be technology transfer. With this plan, the authors have carefully allocated and sequenced the activities involved in each of the tasks to promote concurrent progress towards the research objectives. Moreover, the project duties are divided among the faculty member participants. Graduate students will work in terms with faculty members.

  1. The Life Cycle Application of Intelligent Software Modeling for the First Materials Science Research Rack

    NASA Technical Reports Server (NTRS)

    Rice, Amanda; Parris, Frank; Nerren, Philip

    2000-01-01

    Marshall Space Flight Center (MSFC) has been funding development of intelligent software models to benefit payload ground operations for nearly a decade. Experience gained from simulator development and real-time monitoring and control is being applied to engineering design, testing, and operation of the First Material Science Research Rack (MSRR-1). MSRR-1 is the first rack in a suite of three racks comprising the Materials Science Research Facility (MSRF) which will operate on the International Space Station (ISS). The MSRF will accommodate advanced microgravity investigations in areas such as the fields of solidification of metals and alloys, thermo-physical properties of polymers, crystal growth studies of semiconductor materials, and research in ceramics and glasses. The MSRR-1 is a joint venture between NASA and the European Space Agency (ESA) to study the behavior of different materials during high temperature processing in a low gravity environment. The planned MSRR-1 mission duration is five (5) years on-orbit and the total design life is ten (IO) years. The MSRR-1 launch is scheduled on the third Utilization Flight (UF-3) to ISS, currently in February of 2003). The objective of MSRR-1 is to provide an early capability on the ISS to conduct material science, materials technology, and space product research investigations in microgravity. It will provide a modular, multi-user facility for microgravity research in materials crystal growth and solidification. An intelligent software model of MSRR-1 is under development and will serve multiple purposes to support the engineering analysis, testing, training, and operational phases of the MSRR-1 life cycle development. The G2 real-time expert system software environment developed by Gensym Corporation was selected as the intelligent system shell for this development work based on past experience gained and the effectiveness of the programming environment. Our approach of multi- uses of the simulation model and

  2. Computational intelligence in earth sciences and environmental applications: issues and challenges.

    PubMed

    Cherkassky, V; Krasnopolsky, V; Solomatine, D P; Valdes, J

    2006-03-01

    This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The issues of data quality, selection of the error function, incorporation of the predictive learning methods into the existing modeling frameworks, expert knowledge, model uncertainty, and other application-domain specific problems are discussed. A brief overview of the papers in the Special Issue is provided, followed by discussion of open issues and directions for future research.

  3. Intelligent Mobile Autonomous System

    DTIC Science & Technology

    1987-01-01

    jerk application. (c) Negative jerk application. Group (a). Application of positve jerk. Force is increased from initial value to force of resistance...fundamentals of the new emerging area of autonomous robotics . The goal of this research is to develop a theory of design and functioning of Intelligent...scientific research. This report contributes to a new rapidly developing area of autonomous robotics . Actual experience of dealing with autonomous robots (or

  4. Intelligent hydrated-sulfate template assisted preparation of nanoporous TiO(2) spheres and their visible-light application.

    PubMed

    Lü, Xujie; Huang, Fuqiang; Wu, Jianjun; Ding, Shangjun; Xu, Fangfang

    2011-02-01

    Hydrated metal sulfates (MSO(4)·xH(2)O, M = Zn, Fe, Co, Mg, etc.) were proposed to be intelligent templates to solvothermally synthesize nanoporous TiO(2) spheres with tunable chamber structures from hollow to solid and hybrid compositions. During the reaction, hydrated sulfate serves simultaneously as spherical template, water supplier, and composition controller, and it can be easily removed by washing. The as-prepared anatase TiO(2) spheres were evidenced to contain highly crystallized TiO(2) nanocrystals hybridized with a small amount of metal oxide from the hydrated sulfate. The formation mechanism of the hollow spheres involves the self-conglobation of hydrated sulfate, the hydrolysis of tetrabutyl titanate on the spherical templates, and the subsequent process of solvothermal crystallization. The proposed hydrated-sulfate assisted solvothermal (HAS) strategy was demonstrated to be widely applicable to various systems. When applied to visible-light photocatalysis, the hybrid TiO(2) spheres exhibit excellent photocatalytic performance, benefiting from the reduced charge recombination rate contributed by the heterojunctions of TiO(2) and the hybridized metal oxides.

  5. Research progress of cholesteric liquid crystals with broadband reflection characteristics in application of intelligent optical modulation materials

    NASA Astrophysics Data System (ADS)

    Zhang, Lan-Ying; Gao, Yan-Zi; Song, Ping; Wu, Xiao-Juan; Yuan, Xiao; He, Bao-Feng; Chen, Xing-Wu; Hu, Wang; Guo, Ren-Wei; Ding, Hang-Jun; Xiao, Jiu-Mei; Yang, Huai

    2016-09-01

    Cholesteric liquid crystals (CLCs) have recently sparked an enormous amount of interest in the development of soft matter materials due to their unique ability to self-organize into a helical supra-molecular architecture and their excellent selective reflection of light based on the Bragg relationship. Nowadays, by the virtue of building the self-organized nanostructures with pitch gradient or non-uniform pitch distribution, extensive work has already been performed to obtain CLC films with a broad reflection band. Based on authors’ many years’ research experience, this critical review systematically summarizes the physical and optical background of the CLCs with broadband reflection characteristics, methods to obtain broadband reflection of CLCs, as well as the application in the field of intelligent optical modulation materials. Combined with the research status and the advantages in the field, the important basic and applied scientific problems in the research direction are also introduced. Project supported by the National Natural Science Foundation of China (Grant Nos. 51573006, 51573003, 51203003, 51303008, 51302006, 51402006, 51272026, and 51273022), the Major Project of Beijing Science and Technology Program, China (Grant Nos. Z151100003315023 and Z141100003814011), and the Fok Ying Tung Education Foundation, China (Grant No. 142009).

  6. Intelligent machines: An introductory perspective of artificial intelligence and robotics

    SciTech Connect

    Gevarter, W.B.

    1985-01-01

    This book provides an integrated view of the many diverse aspects of the fields of artificial intelligence (AI) and robotics. It incorporates a summary of the basic concepts utilized in each of the many technical areas; a review of the state-of-the-art; research developments and needs, an indiction of the organizations involved; applications; and a 5-10 year forecast of emerging technology. AI and robotics terms are introduced and immediately defined. The book is designed in a modular format with each chapter essentially complete unto itself. It features extensive use of diagrams, charts, tables that illustrate the concepts and provide material in an easy-to-understand form. Simple illustrative examples clarify and make concrete ideas and material presented. It features an extensive glossary of AI terms and many sets of references and sources of further information.

  7. Intelligent buildings.

    PubMed

    Williams, W E

    1987-01-01

    The maturing of technologies in computer capabilities, particularly direct digital signals, has provided an exciting variety of new communication and facility control opportunities. These include telecommunications, energy management systems, security systems, office automation systems, local area networks, and video conferencing. New applications are developing continuously. The so-called "intelligent" or "smart" building concept evolves from the development of this advanced technology in building environments. Automation has had a dramatic effect on facility planning. For decades, communications were limited to the telephone, the typewritten message, and copy machines. The office itself and its functions had been essentially unchanged for decades. Office automation systems began to surface during the energy crisis and, although their newer technology was timely, they were, for the most part, designed separately from other new building systems. For example, most mainframe computer systems were originally stand-alone, as were word processing installations. In the last five years, the advances in distributive systems, networking, and personal computer capabilities have provided opportunities to make such dramatic improvements in productivity that the Selectric typewriter has gone from being the most advanced piece of office equipment to nearly total obsolescence.

  8. Artificial Intelligence and CALL.

    ERIC Educational Resources Information Center

    Underwood, John H.

    The potential application of artificial intelligence (AI) to computer-assisted language learning (CALL) is explored. Two areas of AI that hold particular interest to those who deal with language meaning--knowledge representation and expert systems, and natural-language processing--are described and examples of each are presented. AI contribution…

  9. Artificial intelligence and psychiatry.

    PubMed

    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.

  10. Intelligent Agents: A Primer.

    ERIC Educational Resources Information Center

    Yu, Edmund; Feldman, Susan

    1999-01-01

    Provides an in-depth introduction to the various technologies that are bringing intelligent agents into the forefront of information technology, explaining how such agents work, the standards involved, and how agent-based applications can be developed. (Author/AEF)

  11. How to improve WEEE management? Novel approach in mobile collection with application of artificial intelligence.

    PubMed

    Król, Aleksander; Nowakowski, Piotr; Mrówczyńska, Bogna

    2016-04-01

    In global demand of improvement of electrical and electronic waste management systems, stakeholders look for effective collection systems that generate minimal costs. In this study we propose a novel model for application in mobile collection schemes - on demand that waste be taken back from household residents. This type of the waste equipment collection is comfortable for residents as they can indicate day and time windows for the take-back. Collecting companies are interested in lowering operational costs required for service. This lowering includes selection of a sufficient number of vehicles and employees, and then minimising the routes' length in order to achieve savings in fuel consumption, and lowering of emissions. In the proposed model we use a genetic algorithm for optimisation of the route length and number of vehicles and fuzzy logic for representation of the household residents' satisfaction on the take-back service provided by collection companies. Also, modern communication channels like websites or mobile phone applications can be used to send the waste equipment take-back request from the household, so it has the potential to be developed in future applications. The operation of the model has been presented in the case study of a city in southern Poland. The results can be useful for collecting companies and software producers for preparation of new applications to be used in waste collection.

  12. Narrative Balance Management in an Intelligent Biosafety Training Application for Improving User Performance

    ERIC Educational Resources Information Center

    Alvarez, Nahum; Sanchez-Ruiz, Antonio; Cavazza, Marc; Shigematsu, Mika; Prendinger, Helmut

    2015-01-01

    The use of three-dimensional virtual environments in training applications supports the simulation of complex scenarios and realistic object behaviour. While these environments have the potential to provide an advanced training experience to students, it is difficult to design and manage a training session in real time due to the number of…

  13. Application of intelligent robotic welding systems for fabrication of aerospace hardware

    NASA Technical Reports Server (NTRS)

    Jones, C. S.; Watson, J. K.

    1985-01-01

    The application of robots to complex on-orbit tasks will require a high degree of adaptability. This paper describes a project which is developing very adaptive robotic systems for welding of the Space Shuttle main engine. A number of the developments which will arise from this program will serve as useful starting points for more advanced systems to be used on-orbit.

  14. Integrating Multiple Intelligences in EFL/ESL Classrooms

    ERIC Educational Resources Information Center

    Bas, Gokhan

    2008-01-01

    This article deals with the integration of the theory of Multiple Intelligences in EFL/ESL classrooms. In this study, after the theory of multiple intelligences was presented shortly, the integration of this theory into English classrooms. Intelligence types in MI Theory were discussed and some possible application ways of these intelligence types…

  15. Artificial Intelligence for Controlling Robotic Aircraft

    NASA Technical Reports Server (NTRS)

    Krishnakumar, Kalmanje

    2005-01-01

    A document consisting mostly of lecture slides presents overviews of artificial-intelligence-based control methods now under development for application to robotic aircraft [called Unmanned Aerial Vehicles (UAVs) in the paper] and spacecraft and to the next generation of flight controllers for piloted aircraft. Following brief introductory remarks, the paper presents background information on intelligent control, including basic characteristics defining intelligent systems and intelligent control and the concept of levels of intelligent control. Next, the paper addresses several concepts in intelligent flight control. The document ends with some concluding remarks, including statements to the effect that (1) intelligent control architectures can guarantee stability of inner control loops and (2) for UAVs, intelligent control provides a robust way to accommodate an outer-loop control architecture for planning and/or related purposes.

  16. Spatial-Temporal Reasoning Applications of Computational Intelligence in the Game of Go and Computer Networks

    DTIC Science & Technology

    2012-01-01

    Mueller et. al. introduce a method by which to analyze a Ko threat situation for endgames with thermography , i.e. a tool for analyzing combinatorial...Spight Martin Mueller, "Generalized Thermography : Algorithms, Implementation, and Application to Go Endgame," International Computer Science Institute...ICSI Technical Report TR-96-030 October 1996. [103] Martin Mueller, "Generalized thermography : A new approach to evaluation in computer Go," in

  17. A Plan for the Application of Artificial Intelligence to DoD Logistics

    DTIC Science & Technology

    1989-10-01

    NO NO NO ACCESSION NO Wasnington. DC � I -TILE (Include Security Cassfication) A Plan for the Application cif Artificial Inteligence to DoD...and direction for DEC’s AJ activities. CEO Senior Vice President for Commercial Operations Al Board of Directors I IT Note: AsrC = Ar c ai inteligence ...Support multiple business organizations. perspectives Provide strategic/ competitive advantage. Technology Apply technology broadly: * Domains

  18. Applications of artificial intelligence 1993: Knowledge-based systems in aerospace and industry; Proceedings of the Meeting, Orlando, FL, Apr. 13-15, 1993

    NASA Technical Reports Server (NTRS)

    Fayyad, Usama M. (Editor); Uthurusamy, Ramasamy (Editor)

    1993-01-01

    The present volume on applications of artificial intelligence with regard to knowledge-based systems in aerospace and industry discusses machine learning and clustering, expert systems and optimization techniques, monitoring and diagnosis, and automated design and expert systems. Attention is given to the integration of AI reasoning systems and hardware description languages, care-based reasoning, knowledge, retrieval, and training systems, and scheduling and planning. Topics addressed include the preprocessing of remotely sensed data for efficient analysis and classification, autonomous agents as air combat simulation adversaries, intelligent data presentation for real-time spacecraft monitoring, and an integrated reasoner for diagnosis in satellite control. Also discussed are a knowledge-based system for the design of heat exchangers, reuse of design information for model-based diagnosis, automatic compilation of expert systems, and a case-based approach to handling aircraft malfunctions.

  19. Artificial intelligence in nanotechnology.

    PubMed

    Sacha, G M; Varona, P

    2013-11-15

    During the last decade there has been increasing use of artificial intelligence tools in nanotechnology research. In this paper we review some of these efforts in the context of interpreting scanning probe microscopy, the study of biological nanosystems, the classification of material properties at the nanoscale, theoretical approaches and simulations in nanoscience, and generally in the design of nanodevices. Current trends and future perspectives in the development of nanocomputing hardware that can boost artificial-intelligence-based applications are also discussed. Convergence between artificial intelligence and nanotechnology can shape the path for many technological developments in the field of information sciences that will rely on new computer architectures and data representations, hybrid technologies that use biological entities and nanotechnological devices, bioengineering, neuroscience and a large variety of related disciplines.

  20. Artificial intelligence in nanotechnology

    NASA Astrophysics Data System (ADS)

    Sacha, G. M.; Varona, P.

    2013-11-01

    During the last decade there has been increasing use of artificial intelligence tools in nanotechnology research. In this paper we review some of these efforts in the context of interpreting scanning probe microscopy, the study of biological nanosystems, the classification of material properties at the nanoscale, theoretical approaches and simulations in nanoscience, and generally in the design of nanodevices. Current trends and future perspectives in the development of nanocomputing hardware that can boost artificial-intelligence-based applications are also discussed. Convergence between artificial intelligence and nanotechnology can shape the path for many technological developments in the field of information sciences that will rely on new computer architectures and data representations, hybrid technologies that use biological entities and nanotechnological devices, bioengineering, neuroscience and a large variety of related disciplines.

  1. Intelligent Potroom Operation

    SciTech Connect

    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.

  2. Completeness of PSD Applications

    EPA Pesticide Factsheets

    This document may be of assistance in applying the New Source Review (NSR) air permitting regulations including the Prevention of Significant Deterioration (PSD) requirements. This document is part of the NSR Policy and Guidance Database. Some documents in the database are a scanned or retyped version of a paper photocopy of the original. Although we have taken considerable effort to quality assure the documents, some may contain typographical errors. Contact the office that issued the document if you need a copy of the original.

  3. Intelligence Is as Intelligence Does: Can Additional Support Needs Replace Disability?

    ERIC Educational Resources Information Center

    Arnold, Samuel R. C.; Riches, Vivienne C.; Stancliffe, Roger J.

    2011-01-01

    In many developed cultures there is an assumption that IQ is intelligence. However, emerging theories of multiple intelligences, of emotional intelligence, as well as the application of IQ testing to other cultural groups, and to people with disability, raises many questions as to what IQ actually measures. Despite recent research that shows IQ…

  4. Brain limbic system-based intelligent controller application to lane change manoeuvre

    NASA Astrophysics Data System (ADS)

    Kim, Changwon; Langari, Reza

    2011-12-01

    This paper presents the application of a novel neuromorphic control strategy for lane change manoeuvres in the highway environment. The lateral dynamics of a vehicle with and without wind disturbance are derived and utilised to implement a control strategy based on the brain limbic system. To show the robustness of the proposed controller, several disturbance conditions including wind, uncertainty in the cornering stiffness, and changes in the vehicle mass are investigated. To demonstrate the performance of the suggested strategy, simulation results of the proposed method are compared with the human driver model-based control scheme, which has been discussed in the literature. The simulation results demonstrate the superiority of the proposed controller in energy efficiency, driving comfort, and robustness.

  5. IEA/AIE-90; Proceedings of the 3rd International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Charleston, SC, July 15-18, 1990. Vols. 1 and 2

    SciTech Connect

    Matthews, M.M. )

    1990-01-01

    The present conference on industrial and engineering applications of artificial intelligence (AI) and expert systems (ESs) encompasses diagnostic and blackboard systems, vision, scheduling, intelligent database systems, AI manufacturing, qualitative models, intelligent interfaces, AI control, and natural language processing. Also addressed are knowledge-based systems, verification/validation, parallel/distributed systems, intelligent tutoring systems, machine learning, neural networks, robotics, knowledge acquisition, and AI techniques for the operative management of aircraft routing. Specific issues addressed include a hierarchical knowledge-based system for aircraft-image interpretation, a cognitive temporal model for planning in aircraft maintenance, applications of algorithm animation techniques, an ES for supporting technical modeling in engineering systems, airobotics, and an ES for the selection of industrial robots and its implementation in two environments.

  6. Sternal "retraction": a novel application of a mandibular distractor in treating ectopia cordis with complete cleft sternum.

    PubMed

    Gart, Michael S; Vicari, Frank A

    2015-05-01

    Complete thoracic ectopia cordis is associated with a uniformly dismal prognosis. The primary challenges of this disorder are (1) returning the heart to the thoracic cavity, (2) stabilizing the chest wall, and (3) repairing the sternal defect. Previously published techniques for achieving these goals have demonstrated very limited success and/or significant morbidity.We present a novel application of a mandibular distraction device as part of staged repair of this historically challenging problem. This method uses immediate stabilization and gradual "retraction" of the sternal remnants, thereby allowing physiologic compensation and avoiding the cardiorespiratory embarrassment associated with returning the heart to the thoracic cavity. Moreover, this technique allows stabilization of the associated sternal cleft and chest wall without the commonly associated morbidity of the currently available techniques.

  7. Advanced Intelligent System Application to Load Forecasting and Control for Hybrid Electric Bus

    NASA Technical Reports Server (NTRS)

    Momoh, James; Chattopadhyay, Deb; Elfayoumy, Mahmoud

    1996-01-01

    The primary motivation for this research emanates from providing a decision support system to the electric bus operators in the municipal and urban localities which will guide the operators to maintain an optimal compromise among the noise level, pollution level, fuel usage etc. This study is backed up by our previous studies on study of battery characteristics, permanent magnet DC motor studies and electric traction motor size studies completed in the first year. The operator of the Hybrid Electric Car must determine optimal power management schedule to meet a given load demand for different weather and road conditions. The decision support system for the bus operator comprises three sub-tasks viz. forecast of the electrical load for the route to be traversed divided into specified time periods (few minutes); deriving an optimal 'plan' or 'preschedule' based on the load forecast for the entire time-horizon (i.e., for all time periods) ahead of time; and finally employing corrective control action to monitor and modify the optimal plan in real-time. A fully connected artificial neural network (ANN) model is developed for forecasting the kW requirement for hybrid electric bus based on inputs like climatic conditions, passenger load, road inclination, etc. The ANN model is trained using back-propagation algorithm employing improved optimization techniques like projected Lagrangian technique. The pre-scheduler is based on a Goal-Programming (GP) optimization model with noise, pollution and fuel usage as the three objectives. GP has the capability of analyzing the trade-off among the conflicting objectives and arriving at the optimal activity levels, e.g., throttle settings. The corrective control action or the third sub-task is formulated as an optimal control model with inputs from the real-time data base as well as the GP model to minimize the error (or deviation) from the optimal plan. These three activities linked with the ANN forecaster proving the output to the

  8. Application of knowledge management and the intelligence continuum for medical emergencies and disaster scenarios.

    PubMed

    Wickramasinghe, Nilmini; Bali, Rajeev K; Naguib, Raouf N G

    2006-01-01

    The world has recently witnessed several large scale natural disasters. These include the Asian tsunami which devastated many of the countries around the rim of the Indian Ocean in December 2004, extensive flooding in many parts of Europe in August 2005, hurricane katrina (September 2005), the outbreak of severe acute respiratory syndrome (SARS) in many regions of Asia and Canada in 2003 and the Pakistan earthquake (towards the end of 2005). Such emergency and disaster situations (E&DS) serve to underscore the utter chaos that ensues in the aftermath of such events, the many casualties and lives lost not to mention the devastation and destruction that is left behind. One recurring theme that is apparent in all these situations is that, irrespective of the warnings of imminent threats, countries have not been prepared and ready to exhibit effective and efficient crisis management. This paper examines the application of the tools, techniques and processes of the knowledge economy to develop a prescriptive model that will support superior decision making in E&DS, thereby enabling effective and efficient crisis management.

  9. Quality by design approach: application of artificial intelligence techniques of tablets manufactured by direct compression.

    PubMed

    Aksu, Buket; Paradkar, Anant; de Matas, Marcel; Ozer, Ozgen; Güneri, Tamer; York, Peter

    2012-12-01

    The publication of the International Conference of Harmonization (ICH) Q8, Q9, and Q10 guidelines paved the way for the standardization of quality after the Food and Drug Administration issued current Good Manufacturing Practices guidelines in 2003. "Quality by Design", mentioned in the ICH Q8 guideline, offers a better scientific understanding of critical process and product qualities using knowledge obtained during the life cycle of a product. In this scope, the "knowledge space" is a summary of all process knowledge obtained during product development, and the "design space" is the area in which a product can be manufactured within acceptable limits. To create the spaces, artificial neural networks (ANNs) can be used to emphasize the multidimensional interactions of input variables and to closely bind these variables to a design space. This helps guide the experimental design process to include interactions among the input variables, along with modeling and optimization of pharmaceutical formulations. The objective of this study was to develop an integrated multivariate approach to obtain a quality product based on an understanding of the cause-effect relationships between formulation ingredients and product properties with ANNs and genetic programming on the ramipril tablets prepared by the direct compression method. In this study, the data are generated through the systematic application of the design of experiments (DoE) principles and optimization studies using artificial neural networks and neurofuzzy logic programs.

  10. Intelligence Fusion Modeling. A Proposed Approach.

    DTIC Science & Technology

    1983-09-16

    based techniques developed by artificial intelligence researchers. This paper describes the application of these techniques in the modeling of an... intelligence requirements, although the methods presented are applicable . We treat PIR/IR as given. -7- -- -W V"W v* 1.- . :71.,v It k*~ ~-- Movement...items from the PIR/IR/HVT decomposition are received from the CMDS. Formatted tactical intelligence reports are received from sensors of like types

  11. Performance Evaluation of an Intelligent Sensor Platform for Radiation Monitoring Applications

    SciTech Connect

    Nakazawa, Dante; Herman, Cedric; Russ, Bill; Huckins, Robert

    2015-07-01

    Accurate, rugged, and reliable radiation detection systems are important for area and environmental monitoring applications. The desire for spectroscopic capability has increased in monitoring aspects of the nuclear fuel cycle to provide fast characterization of the radiation profile of a situation, such as the planned or unplanned release of material. The reduction or elimination of having to conduct sampling for laboratory analysis can result in significant cost savings for an industry, government agency, or regulatory body. A new system, comprised of a NaI:Tl scintillator and a G-M tube, has been designed and tested, taking into account the following end-user requirements: ease-of-use, capability to network and supervise multiple units, compact form factor, low power consumption, versatility, and stability. The detector sizes were selected to accommodate a dose rate up to 1 Sv/hr. Several algorithms and analysis routines have been developed to incorporate these key needs without sacrificing on accuracy, dynamic range, nuclide identification, and sensitivity. This presentation will introduce the major hardware and software components of the platform, as well as the user interface and data analysis workflow. Key features of the hardware include an environmentally robust housing, low power signal processing electronics, patented LED-based gain stabilization, and an embedded processor for unattended instrument management and data analysis. New and improved algorithms for determining scintillator gamma dose rates, total integrated dose, and nuclide identification will be introduced. The two detector elements were modeled with MCNP and validated experimentally. The results of the radiological testing shall be presented including energy resolution, throughput, dose response, and minimum detectable activities. The dose response has been evaluated in simulations and with measurements to ensure accurate response with respect to energy spectrum of the dose field and

  12. DoD applications of artificial intelligence: successes and prospects (Keynote Address)

    NASA Astrophysics Data System (ADS)

    Simpson, R. L., Jr.

    1988-03-01

    I am motivated to write this paper because I am continually surprised at the level of misunderstanding about AI in DoD both on the technology level and the applications level. As for AI as a technology, which is not the subject of this paper, there has been much progress over the last few years, but that progress has been incremental and evolutionary. In contrast to the big splash that AI made some few years ago when everything about the technology seemed revolutionary, this progress may be so subtle as to be invisible to the casual observer of the technical scene. Technical progress notwithstanding, there is much that can be said about the limitations of the current level of AI. As obvious as it is to those in the AI research community, for whom these limitations enable funding, it is surprising how many people believe that AI is technically "mature." I feel compelled to point out the obvious: a demonstration of some capability (in AI or other technology) on one restricted instance of a general class of problems is important as an existence proof of a technology, but it does not satisfy the general need for a technology that will be able to produce solutions for all unrestricted problems in that class. It is in this sense that I believe that AI will require much basic and engineering research from DoD and other sources for many years to come. Given the utility derived from the relatively modest level of today's technology, I believe that even incremental gains here will prove of phenomenal value to DoD and the economy in general.

  13. Computationally intelligent pulsed photoacoustics

    NASA Astrophysics Data System (ADS)

    Lukić, Mladena; Ćojbašić, Žarko; Rabasović, Mihailo D.; Markushev, Dragan D.

    2014-12-01

    In this paper, the application of computational intelligence in pulsed photoacoustics is discussed. Feedforward multilayer perception networks are applied for real-time simultaneous determination of the laser beam spatial profile and vibrational-to-translational relaxation time of the polyatomic molecules in gases. Networks are trained and tested with theoretical data adjusted for a given experimental set-up. Genetic optimization has been used for calculation of the same parameters, fitting the photoacoustic signals with a different number of generations. Observed benefits from the application of computational intelligence in pulsed photoacoustics and advantages over previously developed methods are discussed, such as real-time operation, high precision and the possibility of finding solutions in a wide range of parameters, similar to in experimental conditions. In addition, the applicability for practical uses, such as the real-time in situ measurements of atmospheric pollutants, along with possible further developments of obtained results, is argued.

  14. Estimation of premorbid intelligence in Spanish people with the Word Accentuation Test and its application to the diagnosis of dementia.

    PubMed

    Del Ser, T; González-Montalvo, J I; Martínez-Espinosa, S; Delgado-Villapalos, C; Bermejo, F

    1997-04-01

    The Word Accentuation Test assesses the accentuation of 30 infrequent Spanish words written without the accentuation mark and is an easy-to-use tool for estimating premorbid intelligence of Spanish-speaking people. Its intraobserver (0.97) and interobserver (0.93) reliabilities and its correlation with the Wechsler Adult Intelligence Scale (.837) and Raven's Progressive Matrices (.655) are high, offering a good prediction of general intelligence. It is resistant to mental deterioration; 20 demented and 40 controls matched by sex, age, and education obtained similar scores. The discrepancies between current and predicted scores in Raven's scale can diagnose mild-moderate dementia with 0.79 accuracy (sensitivity, 0.78; specificity, 0.82).

  15. Emotional Intelligence and Teaching: Further Validation Evidence

    ERIC Educational Resources Information Center

    Perry, Chris; Ball, Ian

    2005-01-01

    Further evidence is presented to demonstrate the validity of a new measure of emotional intelligence: Reactions to Teaching Situations (RTS). Using criterion-related groups of high and low scorers on the RTS, it is shown that high scorers give more responses coded as emotional intelligence in their answers to sentence completion tasks relating to…

  16. Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. [Quarterly report], April 1--June 30, 1995

    SciTech Connect

    Kerr, D.R.; Thompson, L.G.; Shenoi, S.

    1995-09-01

    Objective is to apply artificial intelligence and expert systems to capturing, integrating, and articulating key knowledge from geology, geostatistics, and petroleum engineering to develop accurate descriptions of petroleum reservoirs. Goal is to develop a single expert system for use by small producers and independents to efficiently exploit reservoirs.

  17. Recruitment Modeling: An Analysis and an Application to the Study of Male-Female Differences in Intelligence

    ERIC Educational Resources Information Center

    Hunt, Earl; Madhyastha, Tara

    2008-01-01

    Studies of group differences in intelligence often invite conclusions about groups in general from studies of group differences in selected populations. The same design is used in the study of group differences in other traits as well. Investigators observe samples from two groups (e.g. men and women) in some accessible population, but seek to…

  18. The promise of cyborg intelligence.

    PubMed

    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.

  19. Preventing Intelligence Failures in an Unpredictable 21st Century

    DTIC Science & Technology

    2012-03-20

    Ultimately, intelligence will always be imperfect and, as history demonstrates, surprise can never be completely prevented. Despite intelligence reform...recurring theme in this paper is that I&W intelligence will always be imperfect and, as history demonstrates, surprise can never be completely prevented... history shows us, surprise can never be completely prevented. Walter Laqueur, Mark Lowenthal, Robert Jervis, and Richard Betts have attributed the

  20. Plant intelligence

    PubMed Central

    Lipavská, Helena; Žárský, Viktor

    2009-01-01

    The concept of plant intelligence, as proposed by Anthony Trewavas, has raised considerable discussion. However, plant intelligence remains loosely defined; often it is either perceived as practically synonymous to Darwinian fitness, or reduced to a mere decorative metaphor. A more strict view can be taken, emphasizing necessary prerequisites such as memory and learning, which requires clarifying the definition of memory itself. To qualify as memories, traces of past events have to be not only stored, but also actively accessed. We propose a criterion for eliminating false candidates of possible plant intelligence phenomena in this stricter sense: an “intelligent” behavior must involve a component that can be approximated by a plausible algorithmic model involving recourse to stored information about past states of the individual or its environment. Re-evaluation of previously presented examples of plant intelligence shows that only some of them pass our test. “You were hurt?” Kumiko said, looking at the scar. Sally looked down. “Yeah.” “Why didn't you have it removed?” “Sometimes it's good to remember.” “Being hurt?” “Being stupid.”—(W. Gibson: Mona Lisa Overdrive) PMID:19816094

  1. Multiple Intelligences.

    ERIC Educational Resources Information Center

    Laughlin, Janet

    1999-01-01

    Details the characteristics of Howard Gardner's seven multiple intelligences (MI): linguistic, logical-mathematical, bodily-kinesthetic, spatial, musical, interpersonal, and intrapersonal. Discusses the implications of MI for instruction. Explores how students can study using their preferred learning style - visual, auditory, and physical study…

  2. Intelligence Studies

    ERIC Educational Resources Information Center

    Monaghan, Peter

    2009-01-01

    To make an academic study of matters inherently secret and potentially explosive seems a tall task. But a growing number of scholars are drawn to understanding spycraft. The interdisciplinary field of intelligence studies is mushrooming, as scholars trained in history, international studies, and political science examine such subjects as the…

  3. Intelligent Intervention.

    ERIC Educational Resources Information Center

    Scarr, Sandra

    Research has shown that differences among ordinary people in intelligence and personality depend equally on individual genetic variability and on differences in the environments that siblings experience within the same family, not differences in the neighborhood, school, and community environments. As of yet, there are no adequate theories to…

  4. Speech Intelligibility

    NASA Astrophysics Data System (ADS)

    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.

  5. Engineering robust intelligent robots

    NASA Astrophysics Data System (ADS)

    Hall, E. L.; Ali, S. M. Alhaj; Ghaffari, M.; Liao, X.; Cao, M.

    2010-01-01

    The purpose of this paper is to discuss the challenge of engineering robust intelligent robots. Robust intelligent robots may be considered as ones that not only work in one environment but rather in all types of situations and conditions. Our past work has described sensors for intelligent robots that permit adaptation to changes in the environment. We have also described the combination of these sensors with a "creative controller" that permits adaptive critic, neural network learning, and a dynamic database that permits task selection and criteria adjustment. However, the emphasis of this paper is on engineering solutions which are designed for robust operations and worst case situations such as day night cameras or rain and snow solutions. This ideal model may be compared to various approaches that have been implemented on "production vehicles and equipment" using Ethernet, CAN Bus and JAUS architectures and to modern, embedded, mobile computing architectures. Many prototype intelligent robots have been developed and demonstrated in terms of scientific feasibility but few have reached the stage of a robust engineering solution. Continual innovation and improvement are still required. The significance of this comparison is that it provides some insights that may be useful in designing future robots for various manufacturing, medical, and defense applications where robust and reliable performance is essential.

  6. Intelligent Agent Integration Technology

    DTIC Science & Technology

    1998-04-01

    and Manipulation Language (KQML) specification under the DARPA-sponsored Knowledge Sharing Initiative and the developing of a scaleable and an... Shared Communication Ontology ’$" 10.3 IMPLEMENTATION 151 10.3.1 Intelligent Resource Agent Architecture ^ 10.3.2 Application to K-12 Education 153...DARPA-sponsored Knowledge Sharing Initiative, the developing a scaleable and an efficient implementation of information system components for

  7. The Decision of African American Students To Complete High School: An Application of the Theory of Planned Behavior.

    ERIC Educational Resources Information Center

    Davis, Larry E.; Ajzen, Icek; Saunders, Jeanne; Williams, Trina

    2002-01-01

    Study explores high school completion among African Americans. Students completed a theory of planned behavior questionnaire early in their 2nd year. Intentions to complete the year were accurately predicted from attitudes, subjective norms, and perceived behavioral control. Intentions and, to a lesser extent, perceived behavioral control,…

  8. Artificial intelligence in medicine.

    PubMed

    Hamet, Pavel; Tremblay, Johanne

    2017-04-01

    Artificial Intelligence (AI) is a general term that implies the use of a computer to model intelligent behavior with minimal human intervention. AI is generally accepted as having started with the invention of robots. The term derives from the Czech word robota, meaning biosynthetic machines used as forced labor. In this field, Leonardo Da Vinci's lasting heritage is today's burgeoning use of robotic-assisted surgery, named after him, for complex urologic and gynecologic procedures. Da Vinci's sketchbooks of robots helped set the stage for this innovation. AI, described as the science and engineering of making intelligent machines, was officially born in 1956. The term is applicable to a broad range of items in medicine such as robotics, medical diagnosis, medical statistics, and human biology-up to and including today's "omics". AI in medicine, which is the focus of this review, has two main branches: virtual and physical. The virtual branch includes informatics approaches from deep learning information management to control of health management systems, including electronic health records, and active guidance of physicians in their treatment decisions. The physical branch is best represented by robots used to assist the elderly patient or the attending surgeon. Also embodied in this branch are targeted nanorobots, a unique new drug delivery system. The societal and ethical complexities of these applications require further reflection, proof of their medical utility, economic value, and development of interdisciplinary strategies for their wider application.

  9. Intelligent hydrogels for drug delivery system.

    PubMed

    He, Liumin; Zuo, Qinhua; Xie, Shasha; Huang, Yuexin; Xue, Wei

    2011-09-01

    Intelligent hydrogel, also known as smart hydrogels, are materials with great potential for development in drug delivery system. Intelligent hydrogel also has the ability to perceive as a signal structure change and stimulation. The review introduces the temperature-, pH-, electric signal-, biochemical molecule-, light- and pressure- sensitive hydrogels. Finally, we described the application of intelligent hydrogel in drug delivery system and the recent patents involved for hydrogel in drug delivery.

  10. Multidimensional Analysis and Location Intelligence Application for Spatial Data Warehouse Hotspot in Indonesia using SpagoBI

    NASA Astrophysics Data System (ADS)

    Uswatun Hasanah, Gamma; Trisminingsih, Rina

    2016-01-01

    Spatial data warehouse refers to data warehouse which has a spatial component that represents the geographic location of the position or an object on the Earth's surface. Spatial data warehouse can be visualized in the form of a crosstab tables, graphs, and maps. Spatial data warehouse of hotspot in Indonesia has been constructed by researchers from FIRM NASA 2006-2015. This research develops multidimensional analysis module and location intelligence module using SpagoBI. The multidimensional analysis module is able to visualize online analytical processing (OLAP). The location intelligence module creates dynamic map visualization in map zone and map point. Map zone can display the different colors based on the number of hotspot in each region and map point can display different sizes of the point to represent the number of hotspots in each region. This research is expected to facilitate users in the presentation of hotspot data as needed.

  11. Intelligence Sharing in Bosnia

    DTIC Science & Technology

    2007-11-02

    increases with the demands of near real time accurate intelligence for operational decision-making. Given this environment, intelligence-sharing...operating system providing actionable near-real- time intelligence to commanders for coalition synchronization and the requirement to protect national...real time accurate intelligence for operational decision-making. Given this environment, intelligence-sharing requirements across an ad hoc coalition

  12. Team B Intelligence Coups

    ERIC Educational Resources Information Center

    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…

  13. Applications of artificial intelligence X: Machine vision and robotics; Proceedings of the Meeting, Orlando, FL, Apr. 22-24, 1992

    SciTech Connect

    Bowyer, K.W.

    1992-01-01

    Various papers on artificial intelligence in machine vision and robotics are presented. The general topics addressed include: design of a robot head, machine vision inspection techniques, segmentation of fused range and intensity imagery, parallel and VLSI architectures for machine vision, comparison of range image segmentation algorithms, state of the art in postcanny edge detection, simulation and visualization environments for autonomous robots, exploration of recognition by components representation and matching, reactive robotic control strategies, image processing techniques.

  14. System for intelligent teleoperation research

    SciTech Connect

    Orlando, N.E.

    1983-10-25

    The Automation Technology Branch of NASA Langley Research Center is developing a research capability in the field of artificial intelligence, particularly as applicable in teleoperator/robotics development for remote space operations. As a testbed for experimentation in these areas, a system concept has been developed and is being implemented. This system, termed DAISIE (Distributed Artificially Intelligent System for Interacting with the Environment), interfaces the key processes of perception, reasoning, and manipulation by linking hardware sensors and manipulators to a modular artificial intelligence (AI) software system in a hierarchical control structure. Verification experiments have been performed: one experiment used a blocksworld database and planner embedded in the DAISIE system to intelligently manipulate a simple physical environment; the other experiment implemented a joint-space collision avoidance algorithm. Continued system development is planned.

  15. Intelligent Agents in Physics Education

    NASA Astrophysics Data System (ADS)

    Sánchez-Guzmán, D.; Mora, César

    2010-07-01

    Intelligent Agents are being applied in a wide range of processes and everyday applications. Their development is not new, in recent years they have had an increased attention and design; like learning and mentoring tools. In this work we discuss the definition of what an intelligent agent is; how they are applied; how they look like; recent implementations of agents; agents as support in the learning process, more precisely intelligent tutors; their state in Latin-American countries and future developments and trends that will permit a better communication between people and agents. Also we present an Intelligent Tutor applied as a tool for improving high-school students' skills and reasoning for the first five topics of Mechanics curricula.

  16. Application of a short-time version of the Equalization-Cancellation model to speech intelligibility experiments with speech maskers.

    PubMed

    Wan, Rui; Durlach, Nathaniel I; Colburn, H Steven

    2014-08-01

    A short-time-processing version of the Equalization-Cancellation (EC) model of binaural processing is described and applied to speech intelligibility tasks in the presence of multiple maskers, including multiple speech maskers. This short-time EC model, called the STEC model, extends the model described by Wan et al. [J. Acoust. Soc. Am. 128, 3678-3690 (2010)] to allow the EC model's equalization parameters τ and α to be adjusted as a function of time, resulting in improved masker cancellation when the dominant masker location varies in time. Using the Speech Intelligibility Index, the STEC model is applied to speech intelligibility with maskers that vary in number, type, and spatial arrangements. Most notably, when maskers are located on opposite sides of the target, this STEC model predicts improved thresholds when the maskers are modulated independently with speech-envelope modulators; this includes the most relevant case of independent speech maskers. The STEC model describes the spatial dependence of the speech reception threshold with speech maskers better than the steady-state model. Predictions are also improved for independently speech-modulated noise maskers but are poorer for reversed-speech maskers. In general, short-term processing is useful, but much remains to be done in the complex task of understanding speech in speech maskers.

  17. Artificial Intelligence.

    PubMed

    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.

  18. Intelligence Revisited

    DTIC Science & Technology

    2005-05-01

    reasoning, rote memory , and the like.” Standardized tests also fall short in terms of assessing other important aspects of intelligence such as creativity...ipEngine made by BrightStar Engineering. Then in 2004 we further evolved to a Compulab 686 CORE with 128 megabytes of memory running at 266 mHz...driver runs in a continuous loop, timing sonar echoes on each pass, storing the resulting range values in memory for on-demand access by other

  19. Intelligent Tutor

    NASA Technical Reports Server (NTRS)

    1990-01-01

    NASA also seeks to advance American education by employing the technology utilization process to develop a computerized, artificial intelligence-based Intelligent Tutoring System (ITS) to help high school and college physics students. The tutoring system is designed for use with the lecture and laboratory portions of a typical physics instructional program. Its importance lies in its ability to observe continually as a student develops problem solutions and to intervene when appropriate with assistance specifically directed at the student's difficulty and tailored to his skill level and learning style. ITS originated as a project of the Johnson Space Center (JSC). It is being developed by JSC's Software Technology Branch in cooperation with Dr. R. Bowen Loftin at the University of Houston-Downtown. Program is jointly sponsored by NASA and ACOT (Apple Classrooms of Tomorrow). Other organizations providing support include Texas Higher Education Coordinating Board, the National Research Council, Pennzoil Products Company and the George R. Brown Foundation. The Physics I class of Clear Creek High School, League City, Texas are providing the classroom environment for test and evaluation of the system. The ITS is a spinoff product developed earlier to integrate artificial intelligence into training/tutoring systems for NASA astronauts flight controllers and engineers.

  20. Review of SRC-II process product hydrotreating data, for completeness and applicability to the demo plant

    SciTech Connect

    Frazier, G.C.; Faruqi, A.

    1981-03-01

    The SRC-II product naphtha, gas oil, and whole liquid product hydrotreating data base was reviewed for completeness and applicability to the design of the SRC-II Demonstration Plant. Primary data sources were the Chevron and the UOP experimental hydrotreating work and the PNL bioassay investigations on UOP hydrotreated samples. Secondary data were the hydrotreating data for both the EDS and the H-Coal liquid products. The SRC-II product hydrotreating data are sparse at this point, but in view of the fact that these data can be supplemented through correlation with the corresponding data for the EDS and H-Coal liquid fractions, it is concluded that a sufficient data base exists for the closure of a hydrotreating plant material balance at least in the hydrotreating severity range of the Phase 0 design goals. Little thermal property data appear in the literature for coal-derived liquids; thus it will be necessary to draw upon correlations developed in the petroleum industry for closure of the plant energy balance unless experimental thermal property data are forthcoming. An area of uncertainty and concern at this time is the extent to which the Demo Plant product mutagenicity would be reduced by hydrotreatment. Although bioassay tests were conducted on both moderately and severely hydrotreated SRC-II Pilot Plant gas oil, the Demo Plant product is expected to contain an appreciable fraction of 800/sup 0/F/sup +/ material, compared with the Pilot Plant product, which contained essentially no material in this higher boiling range.

  1. Intelligent Systems Technologies for Ops

    NASA Technical Reports Server (NTRS)

    Smith, Ernest E.; Korsmeyer, David J.

    2012-01-01

    As NASA supports International Space Station assembly complete operations through 2020 (or later) and prepares for future human exploration programs, there is additional emphasis in the manned spaceflight program to find more efficient and effective ways of providing the ground-based mission support. Since 2006 this search for improvement has led to a significant cross-fertilization between the NASA advanced software development community and the manned spaceflight operations community. A variety of mission operations systems and tools have been developed over the past decades as NASA has operated the Mars robotic missions, the Space Shuttle, and the International Space Station. NASA Ames Research Center has been developing and applying its advanced intelligent systems research to mission operations tools for both unmanned Mars missions operations since 2001 and to manned operations with NASA Johnson Space Center since 2006. In particular, the fundamental advanced software development work under the Exploration Technology Program, and the experience and capabilities developed for mission operations systems for the Mars surface missions, (Spirit/Opportunity, Phoenix Lander, and MSL) have enhanced the development and application of advanced mission operation systems for the International Space Station and future spacecraft. This paper provides an update on the status of the development and deployment of a variety of intelligent systems technologies adopted for manned mission operations, and some discussion of the planned work for Autonomous Mission Operations in future human exploration. We discuss several specific projects between the Ames Research Center and the Johnson Space Centers Mission Operations Directorate, and how these technologies and projects are enhancing the mission operations support for the International Space Station, and supporting the current Autonomous Mission Operations Project for the mission operation support of the future human exploration

  2. An Intelligent Tutoring System.

    ERIC Educational Resources Information Center

    Corbett, Albert

    1988-01-01

    Discusses a research project that uses artificial intelligence techniques to help teach programing. Describes principles and implementation of the LISP Intelligent Tutoring System (LISPITS). Explains how the artificial intelligence technique was developed and possible future research. (MVL)

  3. Intelligent analysis of biosignals.

    PubMed

    Hudson, Donna; Cohen, Maurice

    2005-01-01

    While biosignal analysis has been a mainstay in many medical applications for a number of decades, notably in cardiology, problems remain in the analysis of high volume data and in comparison among time series. Effective comparisons can determine if the state of a particular patient has changed significantly. These comparisons are useful in both long-term and short-term monitoring. Methods will vary depending on the type of signal and the situation. Intelligent agents permit the activation of the appropriate analysis for the signal and the current situation. Agents are defined in terms of both methodology and function. The agent system is described and illustrated in applications to cardiology and neurology.

  4. Intelligent Sensors Security

    PubMed Central

    Bialas, Andrzej

    2010-01-01

    The paper is focused on the security issues of sensors provided with processors and software and used for high-risk applications. Common IT related threats may cause serious consequences for sensor system users. To improve their robustness, sensor systems should be developed in a restricted way that would provide them with assurance. One assurance creation methodology is Common Criteria (ISO/IEC 15408) used for IT products and systems. The paper begins with a primer on the Common Criteria, and then a general security model of the intelligent sensor as an IT product is discussed. The paper presents how the security problem of the intelligent sensor is defined and solved. The contribution of the paper is to provide Common Criteria (CC) related security design patterns and to improve the effectiveness of the sensor development process. PMID:22315571

  5. Geospatial intelligence workforce

    NASA Astrophysics Data System (ADS)

    Showstack, Randy

    2013-02-01

    A report on the future U.S. workforce for geospatial intelligence, requested by the U.S. National Geospatial-Intelligence Agency (NGA), found that the agency—which hires about 300 scientists and analysts annually—is probably finding sufficient experts to fill the needs in all of its core areas, with the possible exception of geographic information systems (GIS) and remote sensing. The report by the U.S. National Research Council, released on 25 January, noted that competition for GIS applications analysts is strong. While there appear to be enough cartographers, photogrammetrists, and geodesists to meet NGA's current needs in those core areas, the report cautioned that future shortages in these areas seem likely because of a relatively small number of graduates.

  6. Intelligent Design and Intelligent Failure

    NASA Technical Reports Server (NTRS)

    Jerman, Gregory

    2015-01-01

    Good Evening, my name is Greg Jerman and for nearly a quarter century I have been performing failure analysis on NASA's aerospace hardware. During that time I had the distinct privilege of keeping the Space Shuttle flying for two thirds of its history. I have analyzed a wide variety of failed hardware from simple electrical cables to cryogenic fuel tanks to high temperature turbine blades. During this time I have found that for all the time we spend intelligently designing things, we need to be equally intelligent about understanding why things fail. The NASA Flight Director for Apollo 13, Gene Kranz, is best known for the expression "Failure is not an option." However, NASA history is filled with failures both large and small, so it might be more accurate to say failure is inevitable. It is how we react and learn from our failures that makes the difference.

  7. Approach for Autonomous Control of Unmanned Aerial Vehicle Using Intelligent Agents for Knowledge Creation

    NASA Technical Reports Server (NTRS)

    Dufrene, Warren R., Jr.

    2004-01-01

    This paper describes the development of a planned approach for Autonomous operation of an Unmanned Aerial Vehicle (UAV). A Hybrid approach will seek to provide Knowledge Generation through the application of Artificial Intelligence (AI) and Intelligent Agents (IA) for UAV control. The applications of several different types of AI techniques for flight are explored during this research effort. The research concentration is directed to the application of different AI methods within the UAV arena. By evaluating AI and biological system approaches. which include Expert Systems, Neural Networks. Intelligent Agents, Fuzzy Logic, and Complex Adaptive Systems, a new insight may be gained into the benefits of AI and CAS techniques applied to achieving true autonomous operation of these systems. Although flight systems were explored, the benefits should apply to many Unmanned Vehicles such as: Rovers. Ocean Explorers, Robots, and autonomous operation systems. A portion of the flight system is broken down into control agents that represent the intelligent agent approach used in AI. After the completion of a successful approach, a framework for applying an intelligent agent is presented. The initial results from simulation of a security agent for communication are presented.

  8. Intelligent consumer-centric electronic medical record.

    PubMed

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

    2009-01-01

    Web-based, consumer-centric electronic medical records (CEMRs) are currently undergoing widespread deployment. Existing CEMRs, however, have limited intelligence and cannot satisfy users' many needs. This paper proposes the concept of intelligent CEMR. We introduce and extend expert system and web search technology into the CEMR domain. The resulting intelligent CEMRs can automatically provide users with personalized healthcare information to facilitate their daily activities. We use automatic home medical product recommendation as a concrete application to demonstrate the benefits offered by intelligent CEMRs.

  9. The use of artificial intelligence in the analysis of sports performance: a review of applications in human gait analysis and future directions for sports biomechanics.

    PubMed

    Lapham, A C; Bartlett, R M

    1995-06-01

    Computers have played an important supporting role in the development of experimental and theoretical sports biomechanics. The role of the computer now extends from data capture and data processing through to mathematical and statistical modelling and simulation and optimization. This paper seeks to demonstrate that elevation of the role of the computer to involvement in the decision-making process, through the use of artificial intelligence techniques, would be a potentially rewarding future direction for the discipline. In the absence of significant previous work in this area, this paper reviews experiences in a parallel field of medical informatics, namely gait analysis. Research into the application of expert systems and neural networks to gait analysis is reviewed, observations made and comparisons drawn with the biomechanical analysis of sports performance. Brief explanations of the artificial intelligence techniques discussed in the paper are provided. The paper concludes that the creation of an expert system for a specific well-defined sports technique would represent a significant advance in the development of sports biomechanics.

  10. Quest for business intelligence in health care.

    PubMed

    Van De Graaff, Joe; Cameron, Austin

    2013-02-01

    In an era of reform, providers are examining more forward-thinking business intelligence strategies, according to a recent study. Enterprise business intelligence tool sets offer a breadth of design and functionality that often are capable of serving the enterprise. One limitation of broader tool sets is that they may lack needed application-specific functionality or prebuilt healthcare content for a specific department.

  11. Business Intelligence: Turning Knowledge into Power

    ERIC Educational Resources Information Center

    Endsley, Krista

    2009-01-01

    Today, many school districts are turning to business intelligence tools to retrieve, organize, and share knowledge for faster analysis and more effective, guided decision making. Business intelligence (BI) tools are the technologies and applications that gather and report information to help an organization's leaders make better decisions. BI…

  12. The Portrayal of Intelligence in Introductory Educational Psychology Textbooks

    ERIC Educational Resources Information Center

    Lusk, Danielle L.; Jones, Brett D.

    2011-01-01

    Because of the importance of students' and teachers' implicit beliefs about intelligence, we designed a study to determine: (a) How is intelligence defined--as a malleable or fixed entity--in introductory educational psychology textbooks? and (b) To what extent are classroom applications of intelligence topics included in the textbooks? We…

  13. Intelligent Sensors and Components for On-Board ISHM

    NASA Technical Reports Server (NTRS)

    Figueroa, Jorge; Morris, Jon; Nickles, Donald; Schmalzel, Jorge; Rauth, David; Mahajan, Ajay; Utterbach, L.; Oesch, C.

    2006-01-01

    A viewgraph presentation on the development of intelligent sensors and components for on-board Integrated Systems Health Health Management (ISHM) is shown. The topics include: 1) Motivation; 2) Integrated Systems Health Management (ISHM); 3) Intelligent Components; 4) IEEE 1451; 5)Intelligent Sensors; 6) Application; and 7) Future Directions

  14. Machine intelligence and robotics: Report of the NASA study group

    NASA Technical Reports Server (NTRS)

    1980-01-01

    Opportunities for the application of machine intelligence and robotics in NASA missions and systems were identified. The benefits of successful adoption of machine intelligence and robotics techniques were estimated and forecasts were prepared to show their growth potential. Program options for research, advanced development, and implementation of machine intelligence and robot technology for use in program planning are presented.

  15. Intelligent virtual reality in the setting of fuzzy sets

    NASA Technical Reports Server (NTRS)

    Dockery, John; Littman, David

    1992-01-01

    The authors have previously introduced the concept of virtual reality worlds governed by artificial intelligence. Creation of an intelligent virtual reality was further proposed as a universal interface for the handicapped. This paper extends consideration of intelligent virtual realty to a context in which fuzzy set principles are explored as a major tool for implementing theory in the domain of applications to the disabled.

  16. 12 CFR Appendix A to Part 203 - Form and Instructions for Completion of HMDA Loan/Application Register

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... have a preapproval program as defined in § 203.2(b). c. Enter code 3 for applications or loans for home... GOVERNORS OF THE FEDERAL RESERVE SYSTEM HOME MORTGAGE DISCLOSURE (REGULATION C) Pt. 203, App. A Appendix A... application relates to a manufactured home, use Code 1. 5. Purpose of Loan or Application Indicate the...

  17. Artificial Intelligence and Expert Systems: Will They Change the Library? Papers Presented at the Annual Clinic on Library Applications of Data Processing (27th, Urbana, Illinois, March 25-27, 1990). Illinois, March 25-27, 1990).

    ERIC Educational Resources Information Center

    Lancaster, F. W., Ed.; Smith, Linda C., Ed.

    Some of the 12 conference papers presented in this proceedings focus on the present and potential capabilities of artificial intelligence and expert systems as they relate to a wide range of library applications, including descriptive cataloging, technical services, collection development, subject indexing, reference services, database searching,…

  18. An application of belief-importance theory with reference to trait emotional intelligence, mood, and somatic complaints.

    PubMed

    Petrides, K V

    2011-04-01

    This article describes the basic principles of belief-importance (belimp) theory and tests them in two empirical studies. Belimp theory hypothesizes that personality traits confer a propensity to perceive convergences and divergences between our belief that we can attain goals and the importance that we place on these goals. Belief and importance are conceptualized as two coordinates, together defining the belimp plane. Four distinct quadrants can be identified within the belimp plane (Hubris, Motivation, Depression and Apathy), broadly corresponding to the personality dimensions of trait emotional intelligence, conscientiousness, neuroticism and introversion. Study 1 (N=365) defines the four quadrants in relation to goals about financial security and shows that they score differently on trait emotional intelligence, mood and somatic complaints. Study 2 (N=230) defines the quadrants in relation to goals about appearance and, separately, in relation to goals about popularity, and replicates the findings of the first study. Strategies and requirements for testing belimp theory are presented, as are a number of theoretical and practical advantages that it can potentially offer.

  19. Web Intelligence and Artificial Intelligence in Education

    ERIC Educational Resources Information Center

    Devedzic, Vladan

    2004-01-01

    This paper surveys important aspects of Web Intelligence (WI) in the context of Artificial Intelligence in Education (AIED) research. WI explores the fundamental roles as well as practical impacts of Artificial Intelligence (AI) and advanced Information Technology (IT) on the next generation of Web-related products, systems, services, and…

  20. Organized and Disorganized Chaos a New Dynamics in Peace Intelligence

    NASA Astrophysics Data System (ADS)

    Erçetin, Şefika Şule; Tekin, Ali; Açıkalın, Şuay Nilhan

    "How to prevent wars" can be considered as reason behind the foundation of field international relations. In other words, after two devastating war humanity realized that we should learn peaceful coexistence. That's why last 50 years were dedicated to peace which have been the most controversial and gripping notion in all disciplines. Within this context, the notion of sustainable peace becomes more important in last years. On the other hand, chaos and its application in social life- actually our real universe gave insight people to understand social facts with dynamic systems and chaos theory. So, this chapter will be a new and fresh to have sustainable peace with peace intelligence. Peace intelligence is completely new phenomena which coined by Şefika Şule Erçetin.

  1. Neurotechnology for intelligence analysts

    NASA Astrophysics Data System (ADS)

    Kruse, Amy A.; Boyd, Karen C.; Schulman, Joshua J.

    2006-05-01

    Geospatial Intelligence Analysts are currently faced with an enormous volume of imagery, only a fraction of which can be processed or reviewed in a timely operational manner. Computer-based target detection efforts have failed to yield the speed, flexibility and accuracy of the human visual system. Rather than focus solely on artificial systems, we hypothesize that the human visual system is still the best target detection apparatus currently in use, and with the addition of neuroscience-based measurement capabilities it can surpass the throughput of the unaided human severalfold. Using electroencephalography (EEG), Thorpe et al1 described a fast signal in the brain associated with the early detection of targets in static imagery using a Rapid Serial Visual Presentation (RSVP) paradigm. This finding suggests that it may be possible to extract target detection signals from complex imagery in real time utilizing non-invasive neurophysiological assessment tools. To transform this phenomenon into a capability for defense applications, the Defense Advanced Research Projects Agency (DARPA) currently is sponsoring an effort titled Neurotechnology for Intelligence Analysts (NIA). The vision of the NIA program is to revolutionize the way that analysts handle intelligence imagery, increasing both the throughput of imagery to the analyst and overall accuracy of the assessments. Successful development of a neurobiologically-based image triage system will enable image analysts to train more effectively and process imagery with greater speed and precision.

  2. [Research on intelligent controlled drug delivery with polymer].

    PubMed

    Zhang, Zhibin; Tang, Changwei; Chen, Huiqing; Shan, Lianhai; Wan, Changxiu

    2006-02-01

    The intelligent controlled drug delivery systems are a series of the preparations including microcapsules or nanocapsules composed of intelligent polymers and medication. The properties of preparations can change with the external stimuli such as pH value, temperature, chemical substance, light, electricity and magnetism. According to this properties, the drug delivery can be intelligently controlled. This paper has reviewed research on syntheses and applications of intelligent controlled drug delivery systems with polymers.

  3. The selection and application of loss control materials to minimize formation damage in gravel packed completions for a North Sea field

    SciTech Connect

    Hodge, R.M.; MacKinlay, W.M.; Landrum, W.R.

    1995-12-31

    This paper describes a laboratory evaluation of Loss Control Materials (LCM) commonly used to control fluid-loss during completions and workovers and the development of on-site Quality Control procedures for monitoring the performance of the LCM at the well site. In addition to the laboratory results, case histories are provided detailing application of the findings in gravel-packed completions. Conoco has recently completed five gravel-packed wells in the North Sea. The gravel packs were conducted in two stages: a perforation pre-pack and an annular gravel pack. During this completion procedure, LCM was used to wash excess gravel out of the casing following the pre-pack and to control fluid-loss. Analysis of the first completion indicated production was restricted through the completion. Subsequent evaluation of the completion procedure and LCM products indicated the most likely source of formation damage was residual LCM filter-cake. Laboratory tests monitoring fluid-loss control, rheology, and formation damage were performed on commonly-used LCM candidates. These candidates included sized-salt formulations, sized-calcium carbonate systems, and polymers from a variety of commercial suppliers. In addition to the evaluation of LCM products, remedial treatment options and a new delayed-release breaker were tested.

  4. MACH 3: Past and future approaches to intelligent tutoring

    NASA Technical Reports Server (NTRS)

    Acchione-Noel, Sylvia; Psotka, Joseph

    1993-01-01

    In 1986, the U.S. Army Research Institute created an intelligent tutoring system as a proof-of-concept for artificial intelligence applications in Army training. The Maintenance Aid Computer HAWK Intelligent Institutional Instructor (MACH 3) taught student mechanics to maintain and troubleshoot the AN/MPQ-57 High Power Illuminator Radar (HPIR) of the HAWK Air Defense Missile System. In 1989, TRADOC Analysis Command compared the effectiveness of MACH 3 to traditional paper-based troubleshooting drills. For the study, all students received lecture and hands-on training as usual. However, during troubleshooting drills, students traced faults using either MACH 3 or the traditional paper-based method. Class records showed that the MACH 3 group completed significantly more troubleshooting tasks and progressed through tasks of greater difficulty than the paper-based group. Upon completion of training, students took written, practical, and oral essay tests. Mean test scores showed that students performed similarly regardless of the drill method used. However, significantly different standard deviations showed that the MACH 3 group performed more consistently than the paper-based group. Furthermore, significantly different time measures showed that the MACH 3 group reached faster troubleshooting solutions on the actual radar transmitter than the paper-based group. We will present the study results and discuss how updating the design of the MACH 3 can include desktop computing in a virtual environment.

  5. 12 CFR Appendix A to Part 1003 - Form and Instructions for Completion of HMDA Loan/Application Register

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... have a preapproval program as defined in § 1003.2. c. Enter Code 3 for applications or loans for home... PROTECTION HOME MORTGAGE DISCLOSURE (REGULATION C) Pt. 1003, App. A Appendix A to Part 1003—Form and... manufactured home, use Code 1. 5. Purpose of Loan or Application. Indicate the purpose of the loan...

  6. Stabilization effect of traffic flow in an extended car-following model based on an intelligent transportation system application.

    PubMed

    Ge, H X; Dai, S Q; Dong, L Y; Xue, Y

    2004-12-01

    An extended car following model is proposed by incorporating an intelligent transportation system in traffic. The stability condition of this model is obtained by using the linear stability theory. The results show that anticipating the behavior of more vehicles ahead leads to the stabilization of traffic systems. The modified Korteweg-de Vries equation (the mKdV equation, for short) near the critical point is derived by applying the reductive perturbation method. The traffic jam could be thus described by the kink-antikink soliton solution for the mKdV equation. From the simulation of space-time evolution of the vehicle headway, it is shown that the traffic jam is suppressed efficiently with taking into account the information about the motion of more vehicles in front, and the analytical result is consonant with the simulation one.

  7. Establishing Arbitrarily Applicable Relations of Same and Opposite with the Relational Completion Procedure: Selection-Based Feedback

    ERIC Educational Resources Information Center

    Dymond, Simon; Ng, Tsz Ching; Whelan, Robert

    2013-01-01

    Research suggests that the relational completion procedure (RCP) is effective for studying derived relations of same and opposite. Previously, procedural parameters, such as the presence or absence of a confirmatory response requirement, were found to have a facilitative effect on the number of training trials to criterion and overall arbitrary…

  8. Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. Quarterly progress report, April 1 1996--June 30, 1996

    SciTech Connect

    Kerr, D.R.; Thompson, L.G.; Shenoi, S.

    1997-03-01

    The basis of this research is to apply novel techniques from Artificial Intelligence and Expert Systems in capturing, integrating and articulating key knowledge from geology, geostatistics, and petroleum engineering to develop accurate descriptions of petroleum reservoirs. The ultimate goal is to design and implement a single powerful expert system for use by small producers and independents to efficiently exploit reservoirs. The main challenge of the proposed research is to automate the generation of detailed reservoir descriptions honoring all the available {open_quotes}soft{close_quotes} and {open_quotes}hard{close_quotes} data that ranges from qualitative and semi-quantitative geological interpretations to numeric data obtained from cores, well tests, well logs and production statistics. It involves significant amount of information exchange between researchers in geology, geostatistics, and petroleum engineering. Computer science (and artificial intelligence) provides the means to effectively acquire, integrate and automate the key expertise in the various disciplines in a reservoir characterization expert system. Additional challenges are the verification and validation of the expert system, since much of the interpretation of the experts is based on extended experience in reservoir characterization. The overall project plan to design the system to create integrated reservoir descriptions begins by initially developing an Al-based methodology for producing large-scale reservoir descriptions generated interactively from geology and well test data. Parallel to this task is a second task that develops an Al-based methodology that uses facies-biased information to generate small-scale descriptions of reservoir properties such as permeability and porosity. The third task involves consolidation and integration of the large-scale and small-scale methodologies to produce reservoir descriptions honoring all the available data.

  9. Application of the Online Hearing Screening Test “Earcheck”: Speech Intelligibility in Noise in Teenagers and Young Adults

    PubMed Central

    Rashid, Marya Sheikh; Leensen, Monique C.J.; Dreschler, Wouter A.

    2016-01-01

    Objective: The objective was to describe the speech intelligibility in noise test results among Dutch teenagers and young adults aged 12–24 years, using a national online speech reception threshold (SRT) test, the Earcheck. A secondary objective was to assess the effect of age and gender on speech intelligibility in noise. Design: Cross-sectional SRT data were collected over a 5-year period (2010–2014), from participants of Earcheck. Regression analyses were performed, with SRT as the dependent variable, and age and gender as explaining variables. To cross-validate the model, data from 12- to 24-year olds from the same test distributed by a hearing aid dispenser (Hoorscan) were used. Results: In total, 96,803 valid test results were analyzed. The mean SRT score was −18.3 dB signal-to-noise ratio (SNR) (standard deviation (SD) = 3.7). Twenty-five percent of the scores was rated as insufficient or poor. SRT performance significantly improved with increasing age for teenagers aged 12–18 years by 0.49 dB SNR per age-year. A smaller age-effect (0.09 dB SNR per age-year) was found for young adults aged 19–24 years. Small differences between male and female users were found. Conclusion: Earcheck generated large quantities of national SRT data. The data implied that a substantial number of users of Earcheck may have some difficulty in understanding speech in noise. Furthermore, the results of this study showed an effect of gender and age on SRT performance, suggesting an ongoing maturation of speech-in-noise performance into late adolescence. This suggests the use of age-dependent reference values, but for this purpose, more research is required. PMID:27991462

  10. Intelligent back pain advisor

    SciTech Connect

    Bills, M.; Suh, Sang C.

    1996-12-31

    There is a great need for expert systems in the medical field for expert system applications in the field of medical diagnosis. There aren`t any expert systems available for diagnosing back pain, and this tool can be useful. In this paper, we present an expert system that was designed primarily for the diagnosis and treatment of herniated disks, which can occur in any part of the spine. This paper discusses the implementation of the system and some future improvements to the interface that would make this expert system more intelligent.

  11. Targeted business intelligence pays off.

    PubMed

    Hennen, James

    2009-03-01

    Application business intelligence can accomplish much of what large-scale, enterprisewide efforts can accomplish: Focus on a variety of data that are interrelated in a meaningful way, Support decision making at multiple levels within a given organization, Leverage data that are already captured but not fully used, Provide actionable information and support quick response via a dashboard or control panel.

  12. Emotional Intelligence and Educational Reform

    ERIC Educational Resources Information Center

    Neophytou, Lefkios

    2013-01-01

    This paper focuses on the notion of educational reform and discusses Emotional Intelligence (EI) in the context of the modernist-postmodernist debate. It is argued that through the application of EI into contemporary societies a new wave of reform emerges that provides science with normative power over the emotional world of individuals. This…

  13. Artificial Intelligence Assists Ultrasonic Inspection

    NASA Technical Reports Server (NTRS)

    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.

  14. Artificial Intelligence: The Expert Way.

    ERIC Educational Resources Information Center

    Bitter, Gary G.

    1989-01-01

    Discussion of artificial intelligence (AI) and expert systems focuses on their use in education. Characteristics of good expert systems are explained; computer software programs that contain applications of AI are described, highlighting one used to help educators identify learning-disabled students; and the future of AI is discussed. (LRW)

  15. Making the Net More Intelligent.

    ERIC Educational Resources Information Center

    Somers, Doug

    1998-01-01

    Discusses how service providers can address the challenge of costs and the need for attractive services valuable to business customers. Focuses on Internet service control; applying intelligent networking features to the internet working services dilemma; and providing access control over network-based applications for Internet virtual private…

  16. EduTutor: An Intelligent Tutor System for a Learning Management System

    ERIC Educational Resources Information Center

    Rodrigues, Joel J. P. C.; Joao, Pedro F. N.; Vaidya, Binod

    2010-01-01

    Intelligent tutoring systems are any computer systems encompassing interactive applications with some intelligence that support and facilitate the teaching-learning process. The intelligence of these systems is the ability to adapt to each student throughout his/her learning process. This paper presents an intelligent tutoring system, called…

  17. What Artificial Intelligence Is Doing for Training.

    ERIC Educational Resources Information Center

    Kirrane, Peter R.; Kirrane, Diane E.

    1989-01-01

    Discusses the three areas of research and application of artificial intelligence: (1) robotics, (2) natural language processing, and (3) knowledge-based or expert systems. Focuses on what expert systems can do, especially in the area of training. (JOW)

  18. Sex Differences in Intelligence: Implications for Education.

    ERIC Educational Resources Information Center

    Halpern, Diane F.

    1997-01-01

    A psychobiosocial model that is based on the inextricable link between the biological bases of intelligence and environmental events is proposed as an alternative to nature/nurture dichotomies. Societal implications and applications to teaching and learning are suggested. (MMU)

  19. Complete prewetting

    NASA Astrophysics Data System (ADS)

    Yatsyshin, P.; Parry, A. O.; Kalliadasis, S.

    2016-07-01

    We study continuous interfacial transitions, analagous to two-dimensional complete wetting, associated with the first-order prewetting line, which can occur on steps, patterned walls, grooves and wedges, and which are sensitive to both the range of the intermolecular forces and interfacial fluctuation effects. These transitions compete with wetting, filling and condensation producing very rich phase diagrams even for relatively simple prototypical geometries. Using microscopic classical density functional theory to model systems with realistic Lennard-Jones fluid-fluid and fluid-substrate intermolecular potentials, we compute mean-field fluid density profiles, adsorption isotherms and phase diagrams for a variety of confining geometries.

  20. Intelligent radar data processing

    NASA Astrophysics Data System (ADS)

    Holzbaur, Ulrich D.

    The application of artificial intelligence principles to the processing of radar signals is considered theoretically. The main capabilities required are learning and adaptation in a changing environment, processing and modeling information (especially dynamics and uncertainty), and decision-making based on all available information (taking its reliability into account). For the application to combat-aircraft radar systems, the tasks include the combination of data from different types of sensors, reacting to electronic counter-countermeasures, evaluation of how much data should be acquired (energy and radiation management), control of the radar, tracking, and identification. Also discussed are related uses such as monitoring the avionics systems, supporting pilot decisions with respect to the radar system, and general applications in radar-system R&D.

  1. Experiments with microcomputer-based artificial intelligence environments

    USGS Publications Warehouse

    Summers, E.G.; MacDonald, R.A.

    1988-01-01

    The U.S. Geological Survey (USGS) has been experimenting with the use of relatively inexpensive microcomputers as artificial intelligence (AI) development environments. Several AI languages are available that perform fairly well on desk-top personal computers, as are low-to-medium cost expert system packages. Although performance of these systems is respectable, their speed and capacity limitations are questionable for serious earth science applications foreseen by the USGS. The most capable artificial intelligence applications currently are concentrated on what is known as the "artificial intelligence computer," and include Xerox D-series, Tektronix 4400 series, Symbolics 3600, VAX, LMI, and Texas Instruments Explorer. The artificial intelligence computer runs expert system shells and Lisp, Prolog, and Smalltalk programming languages. However, these AI environments are expensive. Recently, inexpensive 32-bit hardware has become available for the IBM/AT microcomputer. USGS has acquired and recently completed Beta-testing of the Gold Hill Systems 80386 Hummingboard, which runs Common Lisp on an IBM/AT microcomputer. Hummingboard appears to have the potential to overcome many of the speed/capacity limitations observed with AI-applications on standard personal computers. USGS is a Beta-test site for the Gold Hill Systems GoldWorks expert system. GoldWorks combines some high-end expert system shell capabilities in a medium-cost package. This shell is developed in Common Lisp, runs on the 80386 Hummingboard, and provides some expert system features formerly available only on AI-computers including frame and rule-based reasoning, on-line tutorial, multiple inheritance, and object-programming. ?? 1988 International Association for Mathematical Geology.

  2. Experiments with microcomputer-based artificial intelligence environments

    SciTech Connect

    Summers, E.G.; MacDonald, R.A.

    1988-11-01

    The US Geological Survey (USGS) has been experimenting with the use of relatively inexpensive microcomputers as artificial intelligence (AI) development environments. Several AI languages are available that perform fairly well on desk-top personal computers, as are low-to-medium cost expert system packages. Although performance of these systems is respectable, their speed and capacity limitations are questionable for serious earth science applications foreseen by the USGS. The most capable artificial intelligence applications currently are concentrated on what is known as the artificial intelligence computer, and include Xerox D-series, Tektronix 4400 series, Symbolics 3600, VAX, LMI, and Texas Instruments Explorer. The artificial intelligence computer runs expert system shells and Lisp, Prolog, and Smalltalk programming languages. However, these AI environments are expensive. Recently inexpensive 32-bit hardware has become available for the IBM/AT microcomputer. USGS has acquired and recently completed Beta-testing of the Golf Hill Systems 80386 Hummingboard, which runs Common Lisp on an IBM/AT microcomputer. Hummingboard appears to have the potential to overcome many of the speed/capacity limitations observed with AI-applications on standard personal computers. USGS is a Beta-test site for the Gold Hill Systems GoldWorks expert system. GoldWorks combines some high-end expert system shell capabilities in a medium-cost package. This shell is developed in Common Lisp, runs on the 80386 Hummingboard, and provides some expert system features formerly available only on AI-computers including frame and rule-based reasoning, on-line tutorial, multiple inheritance, and object-programming.

  3. Intelligent Control Approaches for UAVs

    NASA Technical Reports Server (NTRS)

    KrisnaKumar, Kalmanje

    2003-01-01

    This talk will present overviews of various intelligent control technologies currently being developed and studied at the NASA Ames Research Center as applicable to Unmanned Aerial Vehicles (UAVs), Mars flyers, and to the next generation of flight controllers for manned aircraft. The approaches being examined include: (a) direct adaptive dynamic inverse controller, (b) adaptive critic-based optimal trajectory generator; (c) optimal allocation technique based on linear programming; (4) immunized maneuvering using autopilot building blocks. These approaches can utilize, but do not require, fault detection and isolation information. Piloted and unmanned simulation studies are performed to examine if the intelligent flight control techniques adequately: 1) match flying qualities of modem fly-by-wire flight controllers under nominal conditions; 2) improve performance under failure conditions when sufficient control authority is available; and 3) achieve intelligent maneuvering capabilities for unmanned vehicles. Results obtained so far will be presented and discussed.

  4. Intelligence Data Object Server (IDOS)

    NASA Astrophysics Data System (ADS)

    Barnum, Doug J.; Barth, Stephen W.

    2002-07-01

    The Intelligence Data Object Server (IDOS) has been developed under the Air Force Research Laboratory Global Information Base Branch (AFRL/IFED) Global Awareness Virtual Testbed project to provide automated mechanisms for using Military Intelligence Data in modeling and simulation experiments. The IDOS software allows information from multiple data sources to be published in exercises using the High Level Architecture (HLA) or other object-oriented formats. IDOS uses the AFRL/IFEB Broadsword Gatekeeper for data source access. IDOS has been used in simulation-based acquisition experiments designed and carried out among distributed AFRL sites. This paper describes the IDOS architecture and capabilities including the use of the eXtensible Markup Language (XML) to provide a common representation for data objects, and application of IDOS to visualization of Intelligence Information.

  5. Emotional Intelligence Meets Traditional Standards for an Intelligence.

    ERIC Educational Resources Information Center

    Mayer, John D.; Caruso, David R.; Salovey, Peter

    1999-01-01

    Results of 2 studies involving 503 adults and 229 adolescents show that emotional intelligence, as measured by the Multifactor Emotional Intelligence Scale, a new ability test of emotional intelligence, meets 3 classical criteria of a standard intelligence. (SLD)

  6. Investigation of in-vehicle speech intelligibility metrics for normal hearing and hearing impaired listeners

    NASA Astrophysics Data System (ADS)

    Samardzic, Nikolina

    The effectiveness of in-vehicle speech communication can be a good indicator of the perception of the overall vehicle quality and customer satisfaction. Currently available speech intelligibility metrics do not account in their procedures for essential parameters needed for a complete and accurate evaluation of in-vehicle speech intelligibility. These include the directivity and the distance of the talker with respect to the listener, binaural listening, hearing profile of the listener, vocal effort, and multisensory hearing. In the first part of this research the effectiveness of in-vehicle application of these metrics is investigated in a series of studies to reveal their shortcomings, including a wide range of scores resulting from each of the metrics for a given measurement configuration and vehicle operating condition. In addition, the nature of a possible correlation between the scores obtained from each metric is unknown. The metrics and the subjective perception of speech intelligibility using, for example, the same speech material have not been compared in literature. As a result, in the second part of this research, an alternative method for speech intelligibility evaluation is proposed for use in the automotive industry by utilizing a virtual reality driving environment for ultimately setting targets, including the associated statistical variability, for future in-vehicle speech intelligibility evaluation. The Speech Intelligibility Index (SII) was evaluated at the sentence Speech Receptions Threshold (sSRT) for various listening situations and hearing profiles using acoustic perception jury testing and a variety of talker and listener configurations and background noise. In addition, the effect of individual sources and transfer paths of sound in an operating vehicle to the vehicle interior sound, specifically their effect on speech intelligibility was quantified, in the framework of the newly developed speech intelligibility evaluation method. Lastly

  7. A Study of Assessing Errors and Completeness of Research Application Forms Submitted to Instituitional Ethics Committee (IEC) of a Tertiary Care Hospital

    PubMed Central

    Shah, Pruthak C.; Barvaliya, Manish J.; Tripathi, C.B

    2016-01-01

    Introduction Application form of research work is an essential requirement which is required to be submitted along with the research proposal to the Ethics Committee (EC). Aim To check the completeness and to find the errors in application forms submitted to the EC of a tertiary care hospital. Materials and Methods The application forms of research projects submitted to the Institutional Review Board (IRB), Government Medical College, Bhavnagar, Gujarat, India from January 2014 to June 2015 were analysed for completeness and errors, with respect to the following - type of study, information about study investigators, sample size, study participants, title of the studies, signatures of all investigators, regulatory approval, recruitment procedure, compensation to study participants, informed consent process, information about sponsor, declaration of conflict of interest, plans for storage and maintenance of data, patient information sheet, informed consent forms and study related documents. Results Total 100 application forms were analysed. Among them, 98 were academic and 2 were industrial studies. Majority of academic studies were of basic science type. In 63.26% studies, type of study was not mentioned in title. Age group of subjects was not mentioned in 8.16% application forms. In 34.6% informed consent, benefits of the study were not mentioned. Signature of investigators/co-investigators/Head of the Department was missing in 3.06% cases. Conclusion Our study recommends that the efficiency and speed of review will increase if investigator will increase vigilance regarding filling of application forms. Regular meetings will be helpful to solve the problems related to content of application forms. The uniformity in functioning of EC can be achieved if common application form for all ECs is there. PMID:27790458

  8. [Application of temporary balloon occlusion of the abdominal aorta in the treatment of complete placenta previa complicated with placenta accreta].

    PubMed

    Cui, S H; Zhi, Y X; Zhang, K; Zhang, L D; Shen, L N; Gao, Y N

    2016-09-25

    Objective: To investigate the value of temporary balloon occlusion of the abdominal aorta in the treatment of complete placenta previa with placenta accreta. Methods: From January 2015 to February 2016, 24 cases of complete placenta previa with placenta accreta were treated with temporary balloon occlusion of the abdominal aorta(the study group)before cesarean, and 24 cases of complete placenta previa with placenta accreta did not receive balloon occlusion(the control group). The operation time, intraoperative blood loss, intraoperative blood transfusion volume, the perioperative hemoglobin level, the hysterectomy rate and the related complications were compared retrospectively.Also, the hospitalization time, the blood coagulation parameters after operation, including activated partial thromboplastin time(APTT), fibrinogen(FIB), D-Dimer and reperfusion injury parameters including creatine phosphokinase(CK), creatine phosphokinase isoenzyme(CK-MB), lactate dehydrogenase(LDH)and serum creatinine were compared between the 2 groups. Results: The blood loss[750 ml(400- 2 000 ml)vs 2 000 ml(1 500- 2 375 ml); Z=-3.214, P=0.001]and blood transfusion volume[200 ml(0-800 ml)vs 800 ml(0-1 200 ml); Z=- 2.173, P=0.030]in the study group were lower than in the control group. The hemoglobin difference between before and after operation in the study group was lower than the control group[(12.8±13.4)g/L vs(22.9±20.1)g/L; t=-2.041, P=0.047]. In the study group, there were still bleeding in 13 cases after releasing the balloon, 5 of them received uterine artery embolization, 5 cases received uterine artery ligation, and 3 cases received uterine packing. One case had venous thrombosis in the right lower limb. Two cases(8%,2/24)in the control group had hysterectomy, while none in the study group, there was no statistical significance(P= 0.489). Conclusions: Temporary balloon occlusion of the abdominal aorta can effectively reduce blood loss and blood transfusion in the treatment of

  9. Improving the estimation of detection probability and magnitude of completeness in strongly heterogeneous media, an application to acoustic emission (AE)

    NASA Astrophysics Data System (ADS)

    Maghsoudi, Samira; Cesca, Simone; Hainzl, Sebastian; Kaiser, Diethelm; Becker, Dirk; Dahm, Torsten

    2013-06-01

    Reliable estimations of magnitude of completeness (Mc) are essential for a correct interpretation of seismic catalogues. The spatial distribution of Mc may be strongly variable and difficult to assess in mining environments, owing to the presence of galleries, cavities, fractured regions, porous media and different mineralogical bodies, as well as in consequence of inhomogeneous spatial distribution of the seismicity. We apply a 3-D modification of the probabilistic magnitude of completeness (PMC) method, which relies on the analysis of network detection capabilities. In our approach, the probability to detect an event depends on its magnitude, source-receiver Euclidian distance and source-receiver direction. The suggested method is proposed for study of the spatial distribution of the magnitude of completeness in a mining environment and here is applied to a 2-months acoustic emission (AE) data set recorded at the Morsleben salt mine, Germany. The dense seismic network and the large data set, which includes more than one million events, enable a detailed testing of the method. This method is proposed specifically for strongly heterogeneous media. Besides, it can also be used for specific network installations, with sensors with a sensitivity, dependent on the direction of the incoming wave (e.g. some piezoelectric sensors). In absence of strong heterogeneities, the standards PMC approach should be used. We show that the PMC estimations in mines strongly depend on the source-receiver direction, and cannot be correctly accounted using a standard PMC approach. However, results can be improved, when adopting the proposed 3-D modification of the PMC method. Our analysis of one central horizontal and vertical section yields a magnitude of completeness of about Mc ≈ 1 (AE magnitude) at the centre of the network, which increases up to Mc ≈ 4 at further distances outside the network; the best detection performance is estimated for a NNE-SSE elongated region, which

  10. Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. [Quarterly report], January 1--March 31, 1995

    SciTech Connect

    Kelkar, B.G.; Kerr, D.R.; Thompson, L.G.; Shenoi, S.

    1995-07-01

    This basis search is to apply novel techniques from Artificial Intelligence (AI) and Expert Systems in capturing, integrating and articulating key knowledge from geology, geostatistics, and petroleum engineering to develop accurate descriptions of petroleum reservoirs. The ultimate goal is to design and implement a single powerful expert system for use by small producers and independents to efficiently exploit reservoirs. The overall project plan to design the system to create integrated reservoir description begins by initially developing an AI-based methodology for producing large-scale reservoir descriptions generated interactively from geology and well test data. Parallel to this task is a second task that develops an AI-based methodology that uses facies-biased information to generate small-scale descriptions of reservoir properties such as permeability and porosity. The third task involves consolidation and integration of the large-scale and small-scale methodologies to produce reservoir descriptions honoring all the available data. The final task will be technology transfer. With this plan, we have carefully allocated and sequenced the activities involved in each of the tasks to promote concurrent progress towards the research objectives. The results of the integration are not merely limited to obtaining better characterizations of individual reservoirs. They have the potential to significantly impact and advance the discipline of reservoir characterization itself.

  11. Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. [Quarterly progress report], January 1--March 31, 1994

    SciTech Connect

    Kelkar, B.G.; Gamble, R.F.; Kerr, D.R.; Thompson, L.G.; Shenoi, S.

    1994-06-01

    The basis of this research is to apply novel techniques from Artificial Intelligence and Expert Systems in capturing, integrating and articulating key knowledge from geology, geostatistics, and petroleum engineering to develop accurate descriptions of petroleum reservoirs. The ultimate goal is to design and implement a single powerful expert system for use by small producers and independents to efficiently exploit reservoirs. The overall project plan to design the system to create integrated reservoir descriptions begins by initially developing an Al-based methodology for producing large-scale reservoir descriptions generated interactively from geology and well test data. Parallel to this task is a second task that develops an Al-based methodology that uses facies-biased information to generate small-scale descriptions of reservoir properties such as permeability and porosity. The third task involves consolidation and integration of the large-scale and small-scale methodologies to produce reservoir descriptions honoring all the available data. The final task will be technology transfer. With this plan, we have carefully allocated and sequenced the activities involved in each of the tasks to promote concurrent progress towards the research objectives. Moreover, the project duties are divided among the faculty member participants. Graduate students will work in teams with faculty members. The results of the integration are not merely limited to obtaining better characterizations of individual reservoirs. They have the potential to significantly impact and advance the discipline of reservoir characterization itself.

  12. Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. [Quarterly report], April 1--June 30, 1994

    SciTech Connect

    Kelkar, B.G.; Kerr, D.R.; Thompson, L.G.; Shenoi, S.

    1994-09-01

    The basis of this research is to apply novel techniques from Artificial Intelligence and Expert Systems in capturing, integrating and articulating key knowledge from geology, geostatistics, and petroleum engineering to develop accurate descriptions of petroleum reservoirs. The ultimate goal is to design and implement a single powerful expert system for use by small producers and independents to efficiently exploit reservoirs. The overall project plan to design the system to create integrated reservoir descriptions begins by initially developing an AI-based methodology for producing large-scale reservoir descriptions generated interactively from geology and well test data. Parallel to this task is a second task that develops an AI-based methodology that uses facies-biased information to generate small-scale descriptions of reservoir properties such as permeability and porosity. The third task involves consolidation and integration of the large-scale and small-scale methodologies to produce reservoir descriptions honoring all the available data. The final task will be technology transfer. With this plan, we have carefully allocated and sequenced the activities involved in each of the tasks to promote concurrent progress towards the research objectives. Moreover, the project duties are divided among the faculty and graduate students. The results of the integration are not merely limited to obtaining better characterizations of individual reservoirs. They have the potential to significantly impact and advance the discipline of reservoir characterization itself.

  13. 12 CFR Appendix A to Part 203 - Form and Instructions for Completion of HMDA Loan/Application Register

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... otherwise provided, enter in these columns the applicable codes for the MSA, or the MD if the MSA is divided... number if the MSA is divided into MDs. MSA and MD boundaries are defined by OMB; use the boundaries that... use the following address: HMDA, Federal Reserve Board, Attention: HMDA Processing, (insert name...

  14. 12 CFR Appendix A to Part 203 - Form and Instructions for Completion of HMDA Loan/Application Register

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... otherwise provided, enter in these columns the applicable codes for the MSA, or the MD if the MSA is divided... number if the MSA is divided into MDs. MSA and MD boundaries are defined by OMB; use the boundaries that... use the following address: HMDA, Federal Reserve Board, Attention: HMDA Processing, (insert name...

  15. 12 CFR Appendix A to Part 1003 - Form and Instructions for Completion of HMDA Loan/Application Register

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... provided, enter in these columns the applicable Codes for the MSA, or the MD if the MSA is divided into MDs... MSA is divided into MDs. MSA and MD boundaries are defined by OMB; use the boundaries that were in...: HMDA, Federal Reserve Board, Attention: HMDA Processing, (insert name of the appropriate Federal...

  16. 12 CFR Appendix A to Part 1003 - Form and Instructions for Completion of HMDA Loan/Application Register

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... provided, enter in these columns the applicable Codes for the MSA, or the MD if the MSA is divided into MDs... MSA is divided into MDs. MSA and MD boundaries are defined by OMB; use the boundaries that were in...: HMDA, Federal Reserve Board, Attention: HMDA Processing, (insert name of the appropriate Federal...

  17. Inverting the Army Intelligence Pyramid

    DTIC Science & Technology

    2011-05-19

    Counterinsurgency, Company Intelligence Support Team, COIST, HUMINT, SIGINT, MASINT, OSINT 16. SECURITY CLASSIFICATION OF: (U) 17. LIMITATION OF...intelligence ( OSINT ), signals intelligence (SIGINT), and technical intelligence (TECHINT).14 11

  18. Educational Programs for Intelligence Professionals.

    ERIC Educational Resources Information Center

    Miller, Jerry P.

    1994-01-01

    Discusses the need for education programs for competitive intelligence professionals. Highlights include definitions of intelligence functions, focusing on business intelligence; information utilization by decision makers; information sources; competencies for intelligence professionals; and the development of formal education programs. (38…

  19. Approach for Autonomous Control of Unmanned Aerial Vehicle Using Intelligent Agents for Knowledge Creation

    NASA Technical Reports Server (NTRS)

    Dufrene, Warren R., Jr.

    2004-01-01

    This paper describes the development of a planned approach for Autonomous operation of an Unmanned Aerial Vehicle (UAV). A Hybrid approach will seek to provide Knowledge Generation thru the application of Artificial Intelligence (AI) and Intelligent Agents (IA) for UAV control. The application of many different types of AI techniques for flight will be explored during this research effort. The research concentration will be directed to the application of different AI methods within the UAV arena. By evaluating AI approaches, which will include Expert Systems, Neural Networks, Intelligent Agents, Fuzzy Logic, and Complex Adaptive Systems, a new insight may be gained into the benefits of AI techniques applied to achieving true autonomous operation of these systems thus providing new intellectual merit to this research field. The major area of discussion will be limited to the UAV. The systems of interest include small aircraft, insects, and miniature aircraft. Although flight systems will be explored, the benefits should apply to many Unmanned Vehicles such as: Rovers, Ocean Explorers, Robots, and autonomous operation systems. The flight system will be broken down into control agents that will represent the intelligent agent approach used in AI. After the completion of a successful approach, a framework of applying a Security Overseer will be added in an attempt to address errors, emergencies, failures, damage, or over dynamic environment. The chosen control problem was the landing phase of UAV operation. The initial results from simulation in FlightGear are presented.

  20. Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. [Quarterly progress report], October 1--December 30, 1993

    SciTech Connect

    Gamble, R.F.; Kerr, D.R.; Thompson, L.G.; Shenoi, S.

    1993-12-31

    This basis of this research is to apply novel techniques from Artificial Intelligence and Expert Systems in capturing, integrating and articulating key knowledge from geology, geostatistics, and petroleum engineering to develop accurate descriptions of petroleum reservoirs. The ultimate goal is to design and implement a single powerful expert system for use by small producers and independents to efficiently exploit reservoirs. The first task under each of the concurrent phases of developing large-scale and small-scale reservoir descriptions is to identify the main knowledge sources. This task involves the identification of the critical variables that have an impact on large-scale heterogeneities. Because of the interdisciplinary nature of the project, we have had to develop a common vocabulary among the researchers to accomplish this identification task of Phases I and II. It was necessary for the computer science faculty and students to familiarize themselves with the information processed in geology geostatistics, and petroleum engineering. In addition, the geology and petroleum engineering researchers required instruction in the process of building expert systems. As part of the simulation task of Phase I and II, we have decomposed the design of the expert system into smaller component parts to get a clearer picture of what expert knowledge is needed. This decomposition will facilities that validation and verification of a complex expert system. We will develop concurrently three small prototype systems that will interface with a central repository of reservoir descriptions. The three component systems will be representative of how each of the experts in geology, geostatistics, and engineering characterizes the reservoir. The repository will hold all descriptions that are consistent with the currently known information.

  1. Intelligence: Genetic and Environmental Influences.

    ERIC Educational Resources Information Center

    Cancro, Robert, Ed.

    This book on the genetic and environmental influences on intelligence is comprised of the following papers: "The Structure of Intelligence in Relation to the Nature-Nurture Controversy," R. B. Cattell; "Theory of Intelligence," L. G. Humphreys; "Using Measured Intelligence Intelligently," P. R. Merrifield; "Intelligence: Definition, Theory, and…

  2. Probabilistic Interaction Network of Evidence Algorithm and its Application to Complete Labeling of Peak Lists from Protein NMR Spectroscopy

    PubMed Central

    Bahrami, Arash; Assadi, Amir H.; Markley, John L.; Eghbalnia, Hamid R.

    2009-01-01

    The process of assigning a finite set of tags or labels to a collection of observations, subject to side conditions, is notable for its computational complexity. This labeling paradigm is of theoretical and practical relevance to a wide range of biological applications, including the analysis of data from DNA microarrays, metabolomics experiments, and biomolecular nuclear magnetic resonance (NMR) spectroscopy. We present a novel algorithm, called Probabilistic Interaction Network of Evidence (PINE), that achieves robust, unsupervised probabilistic labeling of data. The computational core of PINE uses estimates of evidence derived from empirical distributions of previously observed data, along with consistency measures, to drive a fictitious system M with Hamiltonian H to a quasi-stationary state that produces probabilistic label assignments for relevant subsets of the data. We demonstrate the successful application of PINE to a key task in protein NMR spectroscopy: that of converting peak lists extracted from various NMR experiments into assignments associated with probabilities for their correctness. This application, called PINE-NMR, is available from a freely accessible computer server (http://pine.nmrfam.wisc.edu). The PINE-NMR server accepts as input the sequence of the protein plus user-specified combinations of data corresponding to an extensive list of NMR experiments; it provides as output a probabilistic assignment of NMR signals (chemical shifts) to sequence-specific backbone and aliphatic side chain atoms plus a probabilistic determination of the protein secondary structure. PINE-NMR can accommodate prior information about assignments or stable isotope labeling schemes. As part of the analysis, PINE-NMR identifies, verifies, and rectifies problems related to chemical shift referencing or erroneous input data. PINE-NMR achieves robust and consistent results that have been shown to be effective in subsequent steps of NMR structure determination. PMID

  3. Probabilistic interaction network of evidence algorithm and its application to complete labeling of peak lists from protein NMR spectroscopy.

    PubMed

    Bahrami, Arash; Assadi, Amir H; Markley, John L; Eghbalnia, Hamid R

    2009-03-01

    The process of assigning a finite set of tags or labels to a collection of observations, subject to side conditions, is notable for its computational complexity. This labeling paradigm is of theoretical and practical relevance to a wide range of biological applications, including the analysis of data from DNA microarrays, metabolomics experiments, and biomolecular nuclear magnetic resonance (NMR) spectroscopy. We present a novel algorithm, called Probabilistic Interaction Network of Evidence (PINE), that achieves robust, unsupervised probabilistic labeling of data. The computational core of PINE uses estimates of evidence derived from empirical distributions of previously observed data, along with consistency measures, to drive a fictitious system M with Hamiltonian H to a quasi-stationary state that produces probabilistic label assignments for relevant subsets of the data. We demonstrate the successful application of PINE to a key task in protein NMR spectroscopy: that of converting peak lists extracted from various NMR experiments into assignments associated with probabilities for their correctness. This application, called PINE-NMR, is available from a freely accessible computer server (http://pine.nmrfam.wisc.edu). The PINE-NMR server accepts as input the sequence of the protein plus user-specified combinations of data corresponding to an extensive list of NMR experiments; it provides as output a probabilistic assignment of NMR signals (chemical shifts) to sequence-specific backbone and aliphatic side chain atoms plus a probabilistic determination of the protein secondary structure. PINE-NMR can accommodate prior information about assignments or stable isotope labeling schemes. As part of the analysis, PINE-NMR identifies, verifies, and rectifies problems related to chemical shift referencing or erroneous input data. PINE-NMR achieves robust and consistent results that have been shown to be effective in subsequent steps of NMR structure determination.

  4. Intelligent Virtual Station (IVS)

    NASA Technical Reports Server (NTRS)

    2002-01-01

    The Intelligent Virtual Station (IVS) is enabling the integration of design, training, and operations capabilities into an intelligent virtual station for the International Space Station (ISS). A viewgraph of the IVS Remote Server is presented.

  5. Intelligence: Real or artificial?

    PubMed Central

    Schlinger, Henry D.

    1992-01-01

    Throughout the history of the artificial intelligence movement, researchers have strived to create computers that could simulate general human intelligence. This paper argues that workers in artificial intelligence have failed to achieve this goal because they adopted the wrong model of human behavior and intelligence, namely a cognitive essentialist model with origins in the traditional philosophies of natural intelligence. An analysis of the word “intelligence” suggests that it originally referred to behavior-environment relations and not to inferred internal structures and processes. It is concluded that if workers in artificial intelligence are to succeed in their general goal, then they must design machines that are adaptive, that is, that can learn. Thus, artificial intelligence researchers must discard their essentialist model of natural intelligence and adopt a selectionist model instead. Such a strategic change should lead them to the science of behavior analysis. PMID:22477051

  6. Complete Makeover

    NASA Technical Reports Server (NTRS)

    2004-01-01

    [figure removed for brevity, see original site]

    Released July 23, 2004 The atmosphere of Mars is a dynamic system. Water-ice clouds, fog, and hazes can make imaging the surface from space difficult. Dust storms can grow from local disturbances to global sizes, through which imaging is impossible. Seasonal temperature changes are the usual drivers in cloud and dust storm development and growth.

    Eons of atmospheric dust storm activity has left its mark on the surface of Mars. Dust carried aloft by the wind has settled out on every available surface; sand dunes have been created and moved by centuries of wind; and the effect of continual sand-blasting has modified many regions of Mars, creating yardangs and other unusual surface forms.

    We finish our look at Mars's dynamic atmosphere with an image of the surface that has been completely modified by the wind. Even the small ridges that remain have been ground down to a cliff-face with a 'tail' of eroded material. The crosshatching shows that the wind regime has remained mainly E/W to ENE/WSW.

    Image information: VIS instrument. Latitude 8.9, Longitude 221 East (139 West). 19 meter/pixel resolution.

    Note: this THEMIS visual image has not been radiometrically nor geometrically calibrated for this preliminary release. An empirical correction has been performed to remove instrumental effects. A linear shift has been applied in the cross-track and down-track direction to approximate spacecraft and planetary motion. Fully calibrated and geometrically projected images will be released through the Planetary Data System in accordance with Project policies at a later time.

    NASA's Jet Propulsion Laboratory manages the 2001 Mars Odyssey mission for NASA's Office of Space Science, Washington, D.C. The Thermal Emission Imaging System (THEMIS) was developed by Arizona State University, Tempe, in collaboration with Raytheon Santa Barbara Remote Sensing. The THEMIS investigation is led by Dr. Philip

  7. A Block Coordinate Descent Method for Multi-Convex Optimization with Applications to Nonnegative Tensor Factorization and Completion

    DTIC Science & Technology

    2012-08-01

    relerr time relerr time 80 80 80 10 8.76e-005 4.39e-001 7.89e-005 8.64e-001 8.62e-005 8.19e-001 80 80 80 20 9.47e-005 1.26e+000 1.97e-004 1.45e+000...1.77e-004 1.21e+000 80 80 80 30 9.65e-005 2.83e+000 2.05e-004 2.13e+000 2.07e-004 1.95e+000 50 50 500 10 9.15e-005 1.27e+000 1.07e-004 1.91e+000 9.54e...completion; bold are bad or slow. Problem Setting APG-TC (prop’d) r = q APG-TC (prop’d) r = b1.25qc FaLRTC N1 N2 N3 q SR relerr time relerr time relerr time 80

  8. The complete enzymatic saccharification of agarose and its application to simultaneous saccharification and fermentation of agarose for ethanol production.

    PubMed

    Kim, Hee Taek; Lee, Saeyoung; Kim, Kyoung Heon; Choi, In-Geol

    2012-03-01

    A sugar platform equipped with acetic acid, multiple agarases and neoagarobiose hydrolase (NABH) converted recalcitrant agar polysaccharide into monosugars, which was evaluated by simultaneous saccharification and fermentation (SSF). The sugar platform was divided into chemical liquefaction and enzymatic saccharification. The chemical liquefaction was carried out in mild conditions (using a dilute acetic acid at 80°C for 1-6h) to avoid the production of fermentation inhibitors and hence the highest degree of liquefaction of 95.6% (w/w) was obtained. We mimicked the natural agarolytic pathway using three microbial agarases (Aga16B, Aga50D and DagA) and NABH, and the enzyme system converted 79.1% of agarose to monosugars. The chemical liquefaction and SSF of 30 g/l agarose resulted in 4.4 g/l ethanol concentration and 49.3% of the theoretical ethanol yield to d-galactose. This is the first report on the complete enzymatic conversion of agarose into its monosugars and the SSF of agarose into ethanol.

  9. Estimation in AB/BA crossover trials with application to bioequivalence studies with incomplete and complete data designs.

    PubMed

    Jaki, Thomas; Pallmann, Philip; Wolfsegger, Martin J

    2013-12-30

    Crossover studies are frequently used in clinical research as they allow within-subject comparisons instead of the between-subject evaluation of parallel group designs. Estimation of interesting parameters from such designs is, however, not trivial. We provide three methods for estimating treatment effects and associated standard errors from an AB/BA crossover trial. Assuming at least asymptotic normality, we can obtain the confidence intervals for single parameters as well as for differences or ratios of treatment effects. The latter is particularly useful in a pharmacokinetic context to establish bioequivalence using area under the concentration versus time curves (AUCs). In this work, we will illustrate how Fieller-type confidence intervals can be constructed for the ratio of AUCs estimated using a noncompartmental approach in a sparse sampling setting from a two-treatment, two-period, two-sequence crossover trial. In particular, we will discuss a flexible batch design, which includes traditional serial sampling and complete data designs as special cases. Via simulation, we show that the proposed intervals have nominal coverage and keep the type I error even for small sample sizes. Moreover, we illustrate the methodology in a real data example.

  10. Intelligent robotics can boost America's economic growth

    NASA Technical Reports Server (NTRS)

    Erickson, Jon D.

    1994-01-01

    A case is made for strategic investment in intelligent robotics as a part of the solution to the problem of improved global competitiveness for U.S. manufacturing, a critical industrial sector. Similar cases are made for strategic investments in intelligent robotics for field applications, construction, and service industries such as health care. The scope of the country's problems and needs is beyond the capability of the private sector alone, government alone, or academia alone to solve independently of the others. National cooperative programs in intelligent robotics are needed with the private sector supplying leadership direction and aerospace and non-aerospace industries conducting the development. Some necessary elements of such programs are outlined. The National Aeronautics and Space Administration (NASA) and the Lyndon B. Johnson Space Center (JSC) can be key players in such national cooperative programs in intelligent robotics for several reasons: (1) human space exploration missions require supervised intelligent robotics as enabling tools and, hence must develop supervised intelligent robotic systems; (2) intelligent robotic technology is being developed for space applications at JSC (but has a strong crosscutting or generic flavor) that is advancing the state of the art and is producing both skilled personnel and adaptable developmental infrastructure such as integrated testbeds; and (3) a NASA JSC Technology Investment Program in Robotics has been proposed based on commercial partnerships and collaborations for precompetitive, dual-use developments.

  11. Psychology of Intelligence Analysis

    DTIC Science & Technology

    1999-01-01

    Intelligence for making the work of Richards J. Heuer, Jr. on the psychology of intelligence analysis available to a new generation of intelligence... Psychological research into how people go about generating hypoth- eses shows that people are actually rather poor at thinking of all the pos- sibilities.86... generalize from these experiments to conclude that the same biases are prevalent in the Intelligence Community. When psychological experiments

  12. Multiple Intelligences and Online Teacher Education

    ERIC Educational Resources Information Center

    Green, Catherine; Tanner, Rosie

    2005-01-01

    Colleagues ask us, "What are the applications of multiple intelligence (MI) theory to teacher education?" And since we have both recently been developing online materials, a further question to ourselves has been, "What are the applications of MI theory to online training and teaching?" In this article, we examine some applications of MI theory to…

  13. Orchestrating Multiple Intelligences

    ERIC Educational Resources Information Center

    Moran, Seana; Kornhaber, Mindy; Gardner, Howard

    2006-01-01

    Education policymakers often go astray when they attempt to integrate multiple intelligences theory into schools, according to the originator of the theory, Howard Gardner, and his colleagues. The greatest potential of a multiple intelligences approach to education grows from the concept of a profile of intelligences. Each learner's intelligence…

  14. Exploring the Analytical Processes of Intelligence Analysts

    SciTech Connect

    Chin, George; Kuchar, Olga A.; Wolf, Katherine E.

    2009-04-04

    We present an observational case study in which we investigate and analyze the analytical processes of intelligence analysts. Participating analysts in the study carry out two scenarios where they organize and triage information, conduct intelligence analysis, report results, and collaborate with one another. Through a combination of artifact analyses, group interviews, and participant observations, we explore the space and boundaries in which intelligence analysts work and operate. We also assess the implications of our findings on the use and application of relevant information technologies.

  15. Challenging Aerospace Problems for Intelligent Systems

    NASA Technical Reports Server (NTRS)

    Krishnakumar, Kalmanje; Kanashige, John; Satyadas, A.; Clancy, Daniel (Technical Monitor)

    2002-01-01

    In this paper we highlight four problem domains that are well suited and challenging for intelligent system technologies. The problems are defined and an outline of a probable approach is presented. No attempt is made to define the problems as test cases. In other words, no data or set of equations that a user can code and get results are provided. The main idea behind this paper is to motivate intelligent system researchers to examine problems that will elevate intelligent system technologies and applications to a higher level.

  16. The 17th Annual Intelligent Ground Vehicle Competition: intelligent robots built by intelligent students

    NASA Astrophysics Data System (ADS)

    Theisen, Bernard L.

    2010-01-01

    The Intelligent Ground Vehicle Competition (IGVC) is one of four unmanned systems student competitions that were founded by the Association for Unmanned Vehicle Systems International (AUVSI). The IGVC is a multidisciplinary exercise in product realization that challenges college engineering student teams to integrate advanced control theory, machine vision, vehicular electronics and mobile platform fundamentals to design and build an unmanned ground vehicle. Teams from around the world focus on developing a suite of dual-use technologies to equip their system of the future with intelligent driving capabilities. Over the past 17 years, the competition has challenged undergraduate, graduate and Ph.D. students with real world applications in intelligent transportation systems, the military and manufacturing automation. To date, teams from over 70 universities and colleges have participated. This paper describes some of the applications of the technologies required by this competition and discusses the educational benefits. The primary goal of the IGVC is to advance engineering education in intelligent vehicles and related technologies. The employment and professional networking opportunities created for students and industrial sponsors through a series of technical events over the four-day competition are highlighted. Finally, an assessment of the competition based on participation is presented.

  17. The 16th annual intelligent ground vehicle competition: intelligent students creating intelligent vehicles

    NASA Astrophysics Data System (ADS)

    Theisen, Bernard L.

    2009-01-01

    The Intelligent Ground Vehicle Competition (IGVC) is one of three, unmanned systems, student competitions that were founded by the Association for Unmanned Vehicle Systems International (AUVSI) in the 1990s. The IGVC is a multidisciplinary exercise in product realization that challenges college engineering student teams to integrate advanced control theory, machine vision, vehicular electronics and mobile platform fundamentals to design and build an unmanned system. Teams from around the world focus on developing a suite of dual-use technologies to equip ground vehicles of the future with intelligent driving capabilities. Over the past 16 years, the competition has challenged undergraduate, graduate and Ph.D. students with real world applications in intelligent transportation systems, the military and manufacturing automation. To date, teams from nearly 70 universities and colleges have participated. This paper describes some of the applications of the technologies required by this competition and discusses the educational benefits. The primary goal of the IGVC is to advance engineering education in intelligent vehicles and related technologies. The employment and professional networking opportunities created for students and industrial sponsors through a series of technical events over the four-day competition are highlighted. Finally, an assessment of the competition based on participation is presented.

  18. The 14 TH Annual Intelligent Ground Vehicle Competition: intelligent teams creating intelligent ground robots

    NASA Astrophysics Data System (ADS)

    Theisen, Bernard L.; Nguyen, Dmitri

    2006-10-01

    The Intelligent Ground Vehicle Competition (IGVC) is one of three, unmanned systems, student competitions that were founded by the Association for Unmanned Vehicle Systems International (AUVSI) in the 1990s. The IGVC is a multidisciplinary exercise in product realization that challenges college engineering student teams to integrate advanced control theory, machine vision, vehicular electronics, and mobile platform fundamentals to design and build an unmanned system. Teams from around the world focus on developing a suite of dual-use technologies to equip ground vehicles of the future with intelligent driving capabilities. Over the past 14 years, the competition has challenged undergraduate, graduate and Ph.D. students with real world applications in intelligent transportation systems, the military and manufacturing automation. To date, teams from over 50 universities and colleges have participated. This paper describes some of the applications of the technologies required by this competition and discusses the educational benefits. The primary goal of the IGVC is to advance engineering education in intelligent vehicles and related technologies. The employment and professional networking opportunities created for students and industrial sponsors through a series of technical events over the three-day competition are highlighted. Finally, an assessment of the competition based on participant feedback is presented.

  19. The 13 th Annual Intelligent Ground Vehicle Competition: intelligent ground vehicles created by intelligent teams

    NASA Astrophysics Data System (ADS)

    Theisen, Bernard L.

    2005-10-01

    The Intelligent Ground Vehicle Competition (IGVC) is one of three, unmanned systems, student competitions that were founded by the Association for Unmanned Vehicle Systems International (AUVSI) in the 1990s. The IGVC is a multidisciplinary exercise in product realization that challenges college engineering student teams to integrate advanced control theory, machine vision, vehicular electronics, and mobile platform fundamentals to design and build an unmanned system. Teams from around the world focus on developing a suite of dual-use technologies to equip ground vehicles of the future with intelligent driving capabilities. Over the past 13 years, the competition has challenged undergraduate, graduate and Ph.D. students with real world applications in intelligent transportation systems, the military and manufacturing automation. To date, teams from over 50 universities and colleges have participated. This paper describes some of the applications of the technologies required by this competition and discusses the educational benefits. The primary goal of the IGVC is to advance engineering education in intelligent vehicles and related technologies. The employment and professional networking opportunities created for students and industrial sponsors through a series of technical events over the three-day competition are highlighted. Finally, an assessment of the competition based on participant feedback is presented.

  20. The 15 TH annual intelligent ground vehicle competition: intelligent ground robots created by intelligent students

    NASA Astrophysics Data System (ADS)

    Theisen, Bernard L.

    2007-09-01

    The Intelligent Ground Vehicle Competition (IGVC) is one of three, unmanned systems, student competitions that were founded by the Association for Unmanned Vehicle Systems International (AUVSI) in the 1990s. The IGVC is a multidisciplinary exercise in product realization that challenges college engineering student teams to integrate advanced control theory, machine vision, vehicular electronics, and mobile platform fundamentals to design and build an unmanned system. Teams from around the world focus on developing a suite of dual-use technologies to equip ground vehicles of the future with intelligent driving capabilities. Over the past 15 years, the competition has challenged undergraduate, graduate and Ph.D. students with real world applications in intelligent transportation systems, the military and manufacturing automation. To date, teams from over 50 universities and colleges have participated. This paper describes some of the applications of the technologies required by this competition and discusses the educational benefits. The primary goal of the IGVC is to advance engineering education in intelligent vehicles and related technologies. The employment and professional networking opportunities created for students and industrial sponsors through a series of technical events over the four-day competition are highlighted. Finally, an assessment of the competition based on participation is presented.

  1. Communications and Intelligent Systems Division Overview

    NASA Technical Reports Server (NTRS)

    Emerson, Dawn

    2017-01-01

    Provides expertise, and plans, conducts and directs research and engineering development in the competency fields of advanced communications and intelligent systems technologies for applications in current and future aeronautics and space systems.Advances communication systems engineering, development and analysis needed for Glenn Research Center's leadership in communications and intelligent systems technology. Focus areas include advanced high frequency devices, components, and antennas; optical communications, health monitoring and instrumentation; digital signal processing for communications and navigation, and cognitive radios; network architectures, protocols, standards and network-based applications; intelligent controls, dynamics and diagnostics; and smart micro- and nano-sensors and harsh environment electronics. Research and discipline engineering allow for the creation of innovative concepts and designs for aerospace communication systems with reduced size and weight, increased functionality and intelligence. Performs proof-of-concept studies and analyses to assess the impact of the new technologies.

  2. Beyond FASFA Completion

    ERIC Educational Resources Information Center

    Castleman, Ben; Page, Lindsay

    2015-01-01

    The Free Application for Federal Student Aid (FAFSA)--which students must complete to qualify for most federal, state, and institutional financial aid--is a gateway to college through which many students must pass, particularly those from low- to moderate-income households (King, 2004; Kofoed, 2013). Yet given the complexity of the…

  3. Are emotional intelligent workers also more empathic?

    PubMed

    Martos, Maria Pilar Berrios; Lopez-Zafra, Esther; Pulido-Martos, Manuel; Augusto, José María

    2013-10-01

    This paper analyzes whether emotional intelligence and self-monitoring are related to empathy among a sample of workers in both the public and private employment sectors. Two hundred and forty-two employees (42.5% men and 57.5% women) with a mean age of 35.21 years (SD = 10.07, range 18-61) completed a questionnaire that measured the variables of interest. The results showed that emotion regulation, a dimension of emotional intelligence, accounts for most of the variance of empathy, followed by the ability to understand emotions and the management of others' emotions. Furthermore, gender did not yield any moderator effect on the relations among emotional intelligence, self-monitoring and empathy. We conclude that the intrapersonal aspects of emotional intelligence, in particular, emotion regulation, help explain the empathy of workers. The implications of these findings are discussed herein.

  4. Coronary Heart Disease and Emotional Intelligence

    PubMed Central

    Vlachaki, Chrisanthy P.; Maridaki-Kassotaki, Katerina

    2013-01-01

    Background: Coronary Heart Disease (CHD) is associated with emotions, especially negative ones, namely anxiety and depression. Emotional Intelligence (EI) is a psychological model that consists of a variety of emotional skills. Aims: The aim of the present study was to examine the relation between different dimensions of Emotional Intelligence and coronary heart disease. Methods: A total of 300 participants were studied during a 3-year period in an attempt to partially replicate and further expand a previous study conducted in Greece among CHD patients, which indicated a strong association between certain dimensions of Emotional Intelligence and the incidence of CHD. All participants completed a self-report questionnaire, assessing several aspects of Emotional Intelligence. Findings: The results showed that there is a link between the regulation of emotions and the occurrence of CHD. Conclusions: The evidence reported in the present study makes stronger the claim that EI plays a significant role in the occurrence of CHD. PMID:24171883

  5. The Role of Emotional Intelligence in Community College Leadership

    ERIC Educational Resources Information Center

    Freed, Curt Alan

    2016-01-01

    The study explores the role of emotional intelligence in community college leaders using a case study design with mixed-methods, including quantitative and qualitative data. Twenty-one leaders among three cases participated in the study, each completing the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) and participating in…

  6. Factor Structure of Japanese Versions of Two Emotional Intelligence Scales

    ERIC Educational Resources Information Center

    Fukuda, Eriko; Saklofske, Donald H.; Tamaoka, Katsuo; Fung, Tak Shing; Miyaoka, Yayoi; Kiyama, Sachiko

    2011-01-01

    This article reports the psychometric properties of two emotional intelligence measures translated into Japanese. Confirmatory factor analysis (CFA) was conducted to examine the factor structure of a Japanese version of the Wong and Law Emotional Intelligence Scale (WLEIS) completed by 310 Japanese university students. A second study employed CFA…

  7. General Intelligence, Visuospatial and Verbal Abilities in Korean Children.

    ERIC Educational Resources Information Center

    Lynn, Richard; Song, Myung Ja

    1994-01-01

    Nine-year olds completed measures of general intelligence, visuospatial ability, and verbal fluency. Subjects were 107 Korean children and 115 British children. Found that Korean children scored higher on general intelligence and visuospatial ability and lower on verbal fluency than British children. (BC)

  8. Emotional Intelligence Instruction in a Pharmacy Communications Course

    PubMed Central

    Lust, Elaine; Moore, Frances C.

    2006-01-01

    Objectives To determine the benefits of incorporating emotional intelligence instruction into a required pharmacy communications course. Design Specific learning objectives were developed based upon the emotional intelligence framework and how it can be applied to pharmacy practice. Qualitative data on student perceptions were collected and analyzed using theme analysis. Assessment Students found instruction on emotional intelligence to be a positive experience. Students reported learning the taxonomy of emotional intelligence – a concept that previously was difficult for them to articulate or describe, and could use this knowledge in future pharmacy management situations. Students also recognized that their new knowledge of emotional intelligence would lead to better patient outcomes. Conclusion Students had positive perceptions of the importance of emotional intelligence. They valued its inclusion in the pharmacy curriculum and saw practical applications of emotional intelligence to the practice of pharmacy. PMID:17136149

  9. Intelligent Classification in Huge Heterogeneous Data Sets

    DTIC Science & Technology

    2015-06-01

    signals and through data dimension reduction, and to develop and tailor algorithms for the extraction of intelligence from several huge heterogeneous...dimension reduction and feature extraction . These techniques are employed when no training set is available, and therefore also no target output...algorithms for application to huge, heterogeneous data sets enabling the extraction of intelligence from information. The approach uses two-scale supervised

  10. Emotional Intelligence, Job Satisfaction, and Students' Perceptions of the Quality of Online Adjunct Faculty

    ERIC Educational Resources Information Center

    Sander, Sara K.

    2011-01-01

    This study explored the relationship between emotional intelligence and students' perceptions of quality of online adjunct faculty and the relationship between emotional intelligence and the job satisfaction of online adjunct faculty. Online adjunct faculty participants completed the Trait Emotional Intelligence Questionnaire--Short Form…

  11. Trait Emotional Intelligence and Personality

    PubMed Central

    Furnham, Adrian; Petrides, K. V.

    2015-01-01

    This study investigated if the linkages between trait emotional intelligence (trait EI) and the Five-Factor Model of personality were invariant between men and women. Five English-speaking samples (N = 307-685) of mostly undergraduate students each completed a different measure of the Big Five personality traits and either the full form or short form of the Trait Emotional Intelligence Questionnaire (TEIQue). Across samples, models predicting global TEIQue scores from the Big Five were invariant between genders, with Neuroticism and Extraversion being the strongest trait EI correlates, followed by Conscientiousness, Agreeableness, and Openness. However, there was some evidence indicating that the gender-specific contributions of the Big Five to trait EI vary depending on the personality measure used, being more consistent for women. Discussion focuses on the validity of the TEIQue as a measure of trait EI and its psychometric properties, more generally. PMID:25866439

  12. Advanced Artificial Intelligence Technology Testbed

    NASA Technical Reports Server (NTRS)

    Anken, Craig S.

    1993-01-01

    The Advanced Artificial Intelligence Technology Testbed (AAITT) is a laboratory testbed for the design, analysis, integration, evaluation, and exercising of large-scale, complex, software systems, composed of both knowledge-based and conventional components. The AAITT assists its users in the following ways: configuring various problem-solving application suites; observing and measuring the behavior of these applications and the interactions between their constituent modules; gathering and analyzing statistics about the occurrence of key events; and flexibly and quickly altering the interaction of modules within the applications for further study.

  13. Overview of NASA Glenn Research Center's Communications and Intelligent Systems Division

    NASA Technical Reports Server (NTRS)

    Miranda, Felix A.

    2016-01-01

    The Communications and Intelligent Systems Division provides expertise, plans, conducts and directs research and engineering development in the competency fields of advanced communications and intelligent systems technologies for application in current and future aeronautics and space systems.

  14. An Intelligent Weather Station.

    PubMed

    Mestre, Gonçalo; Ruano, Antonio; Duarte, Helder; Silva, Sergio; Khosravani, Hamid; Pesteh, Shabnam; Ferreira, Pedro M; Horta, Ricardo

    2015-12-10

    Accurate measurements of global solar radiation, atmospheric temperature and relative humidity, as well as the availability of the predictions of their evolution over time, are important for different areas of applications, such as agriculture, renewable energy and energy management, or thermal comfort in buildings. For this reason, an intelligent, light-weight, self-powered and portable sensor was developed, using a nearest-neighbors (NEN) algorithm and artificial neural network (ANN) models as the time-series predictor mechanisms. The hardware and software design of the implemented prototype are described, as well as the forecasting performance related to the three atmospheric variables, using both approaches, over a prediction horizon of 48-steps-ahead.

  15. An Intelligent Weather Station

    PubMed Central

    Mestre, Gonçalo; Ruano, Antonio; Duarte, Helder; Silva, Sergio; Khosravani, Hamid; Pesteh, Shabnam; Ferreira, Pedro M.; Horta, Ricardo

    2015-01-01

    Accurate measurements of global solar radiation, atmospheric temperature and relative humidity, as well as the availability of the predictions of their evolution over time, are important for different areas of applications, such as agriculture, renewable energy and energy management, or thermal comfort in buildings. For this reason, an intelligent, light-weight, self-powered and portable sensor was developed, using a nearest-neighbors (NEN) algorithm and artificial neural network (ANN) models as the time-series predictor mechanisms. The hardware and software design of the implemented prototype are described, as well as the forecasting performance related to the three atmospheric variables, using both approaches, over a prediction horizon of 48-steps-ahead. PMID:26690433

  16. Business Intelligence in Hospital Management.

    PubMed

    Escher, Achim; Hainc, Nicolin; Boll, Daniel

    2016-01-01

    Business intelligence (BI) is a worthwhile investment, and will play a significant role in hospital management in the near future. Implementation of BI is challenging and requires resources, skills, and a strategy, but enables management to have easy access to relevant analysis of data and visualization of important key performance indicators (KPI). Modern BI applications will help to overcome shortages of common "hand-made" analysis, save time and money, and will enable even managers to do "self-service" analysis and reporting.

  17. Automated Scheduling Via Artificial Intelligence

    NASA Technical Reports Server (NTRS)

    Biefeld, Eric W.; Cooper, Lynne P.

    1991-01-01

    Artificial-intelligence software that automates scheduling developed in Operations Mission Planner (OMP) research project. Software used in both generation of new schedules and modification of existing schedules in view of changes in tasks and/or available resources. Approach based on iterative refinement. Although project focused upon scheduling of operations of scientific instruments and other equipment aboard spacecraft, also applicable to such terrestrial problems as scheduling production in factory.

  18. Intelligent Vehicle Health Management

    NASA Technical Reports Server (NTRS)

    Paris, Deidre E.; Trevino, Luis; Watson, Michael D.

    2005-01-01

    objectives: Guidance and Navigation; Communications and Tracking; Vehicle Monitoring; Information Transport and Integration; Vehicle Diagnostics; Vehicle Prognostics; Vehicle mission Planning; Automated Repair and Replacement; Vehicle Control; Human Computer Interface; and Onboard Verification and Validation. Furthermore, the presented framework provides complete vehicle management which not only allows for increased crew safety and mission success through new intelligence capabilities, but also yields a mechanism for more efficient vehicle operations. The representative IVHM technologies for computer platform using heterogeneous communication, 3) coupled electromagnetic oscillators for enhanced communications, 4) Linux-based real-time systems, 5) genetic algorithms, 6) Bayesian Networks, 7) evolutionary algorithms, 8) dynamic systems control modeling, and 9) advanced sensing capabilities. This paper presents IVHM technologies developed under NASA's NFFP pilot project and the integration of these technologies forms the framework for IIVM.

  19. Learning for intelligent mobile robots

    NASA Astrophysics Data System (ADS)

    Hall, Ernest L.; Liao, Xiaoqun; Alhaj Ali, Souma M.

    2003-10-01

    Unlike intelligent industrial robots which often work in a structured factory setting, intelligent mobile robots must often operate in an unstructured environment cluttered with obstacles and with many possible action paths. However, such machines have many potential applications in medicine, defense, industry and even the home that make their study important. Sensors such as vision are needed. However, in many applications some form of learning is also required. The purpose of this paper is to present a discussion of recent technical advances in learning for intelligent mobile robots. During the past 20 years, the use of intelligent industrial robots that are equipped not only with motion control systems but also with sensors such as cameras, laser scanners, or tactile sensors that permit adaptation to a changing environment has increased dramatically. However, relatively little has been done concerning learning. Adaptive and robust control permits one to achieve point to point and controlled path operation in a changing environment. This problem can be solved with a learning control. In the unstructured environment, the terrain and consequently the load on the robot"s motors are constantly changing. Learning the parameters of a proportional, integral and derivative controller (PID) and artificial neural network provides an adaptive and robust control. Learning may also be used for path following. Simulations that include learning may be conducted to see if a robot can learn its way through a cluttered array of obstacles. If a situation is performed repetitively, then learning can also be used in the actual application. To reach an even higher degree of autonomous operation, a new level of learning is required. Recently learning theories such as the adaptive critic have been proposed. In this type of learning a critic provides a grade to the controller of an action module such as a robot. The creative control process is used that is "beyond the adaptive critic." A

  20. Social Intelligence: Next Generation Business Intelligence

    SciTech Connect

    Troy Hiltbrand

    2010-09-01

    In order for Business Intelligence to truly move beyond where it is today, a shift in approach must occur. Currently, much of what is accomplished in the realm of Business Intelligence relies on reports and dashboards to summarize and deliver information to end users. As we move into the future, we need to get beyond these reports and dashboards to a point where we break out the individual metrics that are embedded in these reports and interact with these components independently. Breaking these pieces of information out of the confines of reports and dashboards will allow them to be dynamically assembled for delivery in the way that makes most sense to each consumer. With this change in ideology, Business Intelligence will move from the concept of collections of objects, or reports and dashboards, to individual objects, or information components. The Next Generation Business Intelligence suite will translate concepts popularized in Facebook, Flickr, and Digg into enterprise worthy communication vehicles.