Science.gov

Sample records for intelligent completions applications

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

    SciTech Connect

    Paul Tubel

    2003-03-24

    The first quarter of the Downhole Power Generation and Wireless Communications for Intelligent Completions Applications was characterized by the evaluation and determination of the specifications required for the development of the system for permanent applications in wellbores to the optimization of hydrocarbon production. The system will monitor and transmit in real time pressure and temperature information from downhole using the production tubing as the medium for the transmission of the acoustic waves carrying digital information. The most common casing and tubing sizes were determined by interfacing with the major oil companies to obtain information related to their wells. The conceptual design was created for both the wireless gauge section of the tool as well as the power generation module. All hardware for the wireless gauge will be placed in an atmospheric pressure chamber located on the outside of a production tubing with 11.4 centimeter (4-1/2 inch) diameter. This mounting technique will reduce cost as well as the diameter and length of the tool and increase the reliability of the system. The power generator will use piezoelectric wafers to generate electricity based on the flow of hydrocarbons through an area in the wellbore where the tool will be deployed. The goal of the project is to create 1 Watt of power continuously.

  2. Downhole Power Generation and Wireless Communications for Intelligent Completions Applications

    SciTech Connect

    Paul Tubel

    2005-11-07

    Tubel Tech has been working with the DoE Rocky Mountain test center to create a CRADA which will allow Tubel Tech to test its wireless gauge in a well at the test center. The CRADA agreement should be completed by the next quarter and Tubel Tech expects to perform the final test on this project during the next quarter as well. The wireless gauge has not been modified or upgraded during this report period.

  3. 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

  4. 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.

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

    SciTech Connect

    Paul Tubel

    2003-07-05

    The third quarter of the project was dedicated to creating the detailed design for the manufacturing of the mechanical system for wireless communications and the power generation module. Another emphasis for the quarter was the development of the surface system and acoustic detector for the downhole tool for 2 way communications. The tasks accomplished during this report period were: (1) All detailed drawings for manufacturing of the wireless communications gauge and power generator were completed and the drawings were forward to a machine shop for manufacturing. (2) The power generator was incorporated to the mandrel of the wireless gauge reducing the length of the tool by 25% and manufacturing cost by about 35%. (3) The new piezoelectric acoustic generator was manufactured successfully and it was delivered during this quarter. The assembly provides a new technique to manufacture large diameter piezoelectric based acoustic generators. (4) The acoustic two-way communications development progressed significantly. 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 piezoelectric wafer assembly was designed and manufactured. The transformer has been received and it will go through testing and evaluation during the next quarter.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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,…

  13. 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)

  14. 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.

  15. Intelligibility, subjective ratings and completion time scores using the FAAF test with hearing-impaired subjects and noisy reverberant environments.

    PubMed

    Shields, P W; Campbell, D R

    2001-08-01

    A series of experiments have been performed with the primary aim of assessing the performance of a signal-processing algorithm for a possible future hearing aid application. As part of this work the four alternative auditory feature (FAAF) test was used to obtain a quantitative assessment of speech intelligibility and a subjective assessment of speech quality. This paper reports results of experiments using normal hearing (NH) subjects that provide partial verification of the FAAF test originators' prior work. Also reported are intelligibility score, mean opinion score (MOS) and completion time data obtained by use of the PMID:11694098

  16. 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 an application does not mean it...

  17. 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 an application does not mean it...

  18. 14 CFR 413.13 - Complete application.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 14 Aeronautics and Space 4 2010-01-01 2010-01-01 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 an application does not mean it...

  19. 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 an application does not mean it...

  20. Machine intelligence for robotics applications

    SciTech Connect

    Weisbin, C.R.; Barhen, J.; de Saussure, G.; Hamel, W.R.; Jorgensen, C.; Oblow, E.M.; Ricks, R.E.

    1985-01-01

    The purpose of this paper is to review research in machine intelligence ongoing at the Center for Engineering Systems Advanced Research (CESAR). As a result of initial experimentation with our HERMIES-I mobile robot, hardware and software upgrades were implemented which enable fully asynchronous sonar operation, improved stepper motor control for the sensory platform, and more reliable wheel drive control. The current system, designated as HERMIES-II, is discussed. Successful demonstration of dead-reckoning navigation and the development of a sensor-based exploration and discovery algorithm which can now handle typical maze problems are reported. The development of HERMIES ''brain'' as a hypercube ensemble machine with concurrent computation and associated message passing is described. Algorithms for mapping precedence-constrained task graphs onto a hypercube yield results with high efficiency and proper load balance. A framework for a hybrid uncertainty analysis theory for decision making is described.

  1. 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.

  2. 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...

  3. Can Space Applications Benefit from Intelligent Agents?

    NASA Astrophysics Data System (ADS)

    Varghese, Blesson; McKee, Gerard

    The work reported in this paper proposes a Swarm-Array computing approach based on 'Intelligent Agents' to apply autonomic computing concepts to parallel computing systems and build reliable systems for space applications. Swarm-array computing is a swarm robotics inspired, novel computing approach considered as a path to achieve autonomy in parallel computing systems. In the intelligent agent approach, a task to be executed on parallel computing cores is considered as a swarm of autonomous agents. A task is carried to a computing core by carrier agents and can be seamlessly transferred between cores in the event of a predicted failure, thereby achieving self-* objectives of autonomic computing. The approach is validated on a multi-agent simulator.

  4. Artificial intelligence: Theory, logic and application

    SciTech Connect

    Brule, J.F.

    1986-01-01

    This book discusses the principles and applications of artificial intelligence. It provides the details on the most prominent languages currently being used to develop artificial intelligence, LISP and Prolog. It is shown how the computer is made to understand knowledge and how it can retrieve and manipulate that knowledge through frames, semantic networks, state space, belief systems, and the LEAP data base. Once the fundamentals are discussed, the author delves deeper, explaining: how computers are able to make logical deductions...methods used to move the computer through a knowledge base...and even shows readers what takes place as a computer attempts to solve problems. A series of programming exercises are also provided that illustrate all the important concepts learned from each chapter.

  5. 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.

  6. 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.

  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. 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.

  9. 7 CFR 1703.144 - Completed application.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... AGRICULTURE RURAL DEVELOPMENT Distance Learning and Telemedicine Loan Program § 1703.144 Completed application... the project provides predominantly distance learning or telemedicine services as defined in § 1703.102. If the project provides both distance learning and telemedicine services, the applicant must...

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. Applications of medical intelligence in remote monitoring.

    PubMed

    Vassányi, István; Kozmann, György; Bánhalmi, András; Végsö, Balázs; Kósa, István; Dulai, Tibor; Tarjányi, Zsolt; Tuboly, Gergely; Cserti, Péter; Pintér, Balázs

    2011-01-01

    Prevention and rehabilitation efficiency can greatly benefit from the application of intelligent, 24 hour tele-diagnostics and tele-care information systems. Tele-monitoring also supports a new level of medical supervision over the patient's lifestyle. In this paper we briefly present the architecture and development phase results of the Alpha remote monitoring system. The novelty of the system is the unified and flexible processing of various signals retrieved from modern, unobtrusive devices in an efficient signal abstraction framework. The signals include PIR motion sensors that record patient movement in the home, physiological signals and also patient responses in various tests performed on the GUI of the central home unit. We have developed and tested the prototype system with promising results.

  16. 7 CFR 1739.15 - Completed application.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... Precautions. (8) An environmental report, in accordance with 7 CFR 1794. (9) Certification that grant funds... Civil Rights Act of 1964. (2) 7 CFR part 3015—Uniform Federal Assistance Regulations. (3) 7 CFR part... completed application must include the following documentation, studies, reports and information in...

  17. 7 CFR 1703.144 - Completed application.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... AGRICULTURE RURAL DEVELOPMENT Distance Learning and Telemedicine Loan Program § 1703.144 Completed application... sustainable project for a minimum of 10 years and repay the requested loan. This documentation should include.... 11375 and as supplemented by regulations contained in 41 CFR part 60; (2) Architectural barriers;...

  18. 7 CFR 1703.144 - Completed application.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... AGRICULTURE RURAL DEVELOPMENT Distance Learning and Telemedicine Loan Program § 1703.144 Completed application... sustainable project for a minimum of 10 years and repay the requested loan. This documentation should include.... 11375 and as supplemented by regulations contained in 41 CFR part 60; (2) Architectural barriers;...

  19. 7 CFR 1703.144 - Completed application.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... AGRICULTURE RURAL DEVELOPMENT Distance Learning and Telemedicine Loan Program § 1703.144 Completed application... sustainable project for a minimum of 10 years and repay the requested loan. This documentation should include.... 11375 and as supplemented by regulations contained in 41 CFR part 60; (2) Architectural barriers;...

  20. 7 CFR 1703.144 - Completed application.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... AGRICULTURE RURAL DEVELOPMENT Distance Learning and Telemedicine Loan Program § 1703.144 Completed application... sustainable project for a minimum of 10 years and repay the requested loan. This documentation should include.... 11375 and as supplemented by regulations contained in 41 CFR part 60; (2) Architectural barriers;...

  1. 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…

  2. Intelligent Systems and Its Applications in Robotics

    NASA Astrophysics Data System (ADS)

    Kaynak, Okyay

    The last decade of the last millennium is characterized by what might be called the intelligent systems revolution, as a result of which, it is now possible to have man made systems that exhibit ability to reason, learn from experience and make rational decisions without human intervention. Prof. Zadeh has coined the word MIQ (machine intelligence quotient) to describe a measure of intelligence of man-made systems. In this perspective, an intelligent system can be defined as a system that has a high MIQ.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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…

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. Artificial Intelligence Applications to Videodisc Technology

    PubMed Central

    Vries, John K.; Banks, Gordon; McLinden, Sean; Moossy, John; Brown, Melanie

    1985-01-01

    Much of medical information is visual in nature. Since it is not easy to describe pictorial information in linguistic terms, it has been difficult to store and retrieve this type of information. Coupling videodisc technology with artificial intelligence programming techniques may provide a means for solving this problem.

  15. Intelligent computational systems for space applications

    NASA Technical Reports Server (NTRS)

    Lum, Henry, Jr.; Lau, Sonie

    1989-01-01

    The evolution of intelligent computation systems is discussed starting with the Spaceborne VHSIC Multiprocessor System (SVMS). The SVMS is a six-processor system designed to provide at least a 100-fold increase in both numeric and symbolic processing over the i386 uniprocessor. The significant system performance parameters necessary to achieve the performance increase are discussed.

  16. A Progress Report on Artificial Intelligence: Hospital Applications and a Review of the Artificial Intelligence Marketplace

    PubMed Central

    Brenkus, Lawrence M.

    1984-01-01

    Artificial intelligence applications are finally beginning to move from the university research laboratory into commercial use. Before the end of the century, this new computer technology will have profound effects on our work, economy, and lives. At present, relatively few products have appeared in the hospital, but we can anticipate significant product offerings in instrumentation and affecting hospital administration within 5 years.

  17. 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).

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. 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

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

    PubMed

    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

  4. 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.

  5. 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.

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

    SciTech Connect

    Paul Tubel

    2005-05-08

    The wireless gauge has not been modified or upgraded during this report period. Tubel Tech is working with the DoE Rocky Mountain test center to create a CRADA to allow Tubel Tech to test its tool in a well at the test center.

  7. 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…

  8. 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…

  9. 7 CFR 1739.15 - Completed application.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... telecommunications, computer network components, communication satellite ground station equipment, or any other... applicable USDA regulations including 7 CFR parts 3015, 3016, and 3019. Applicants must use the Agency's... operators, enhanced service providers, providers of satellite services and telecommunications...

  10. 7 CFR 1739.15 - Completed application.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... telecommunications, computer network components, communication satellite ground station equipment, or any other... applicable USDA regulations including 7 CFR parts 3015, 3016, and 3019. Applicants must use the Agency's... operators, enhanced service providers, providers of satellite services and telecommunications...

  11. 7 CFR 1739.15 - Completed application.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... telecommunications, computer network components, communication satellite ground station equipment, or any other... applicable USDA regulations including 7 CFR parts 3015, 3016, and 3019. Applicants must use the Agency's... operators, enhanced service providers, providers of satellite services and telecommunications...

  12. 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.

  13. 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.

  14. Potential applications for artificial intelligence in the petroleum industry

    SciTech Connect

    Alegre, L. )

    1991-11-01

    This article clarifies some concepts of artificial intelligence (AI), discusses some of its applications, and demonstrates its potential application in the petroleum industry. AI is divided into two levels: the psychological, where it attempts to represent knowledge explicitly, and the intuitive, where explication of knowledge is not important and the emphasis is on brain architecture. Expert systems, which implement explicit knowledge, are discussed in more detail. A brief discussion of use of AI in Brazil, particularly at Petrobras, is presented.

  15. 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.

  16. 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

  17. 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.

  18. 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. PMID:22577301

  19. 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...

  20. 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...

  1. 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...

  2. 7 CFR 1703.134 - Completed application.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... AGRICULTURE RURAL DEVELOPMENT Distance Learning and Telemedicine Combination Loan and Grant Program § 1703.134... predominantly distance learning or telemedicine services as defined in § 1703.102. If the project provides both distance learning and telemedicine services, the applicant must identify the predominant use of the...

  3. 7 CFR 1739.15 - Completed application.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... regulations, including 7 CFR parts 3015, 3016, and 3019. Applicants must also conform to the requirements of... environmental requirements specified in 7 CFR 1794; (e) Service Area Demographics. The following information... regulations including, but not limited to the following: (1) 7 CFR part 15, subpart A—Nondiscrimination...

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. Machine intelligence applications to securities production

    SciTech Connect

    Johnson, C.K.

    1987-01-01

    The production of security documents provides a cache of interesting problems ranging across a broad spectrum. Some of the problems do not have rigorous scientific solutions available at this time and provide opportunities for less structured approaches such as AI. AI methods can be used in conjunction with traditional scientific and computational methods. The most productive applications of AI occur when this marriage of methods can be carried out without motivation to prove that one method is better than the other. Fields such as ink chemistry and technology, and machine inspection of graphic arts printing offer interesting challenges which will continue to intrigue current and future generations of researchers into the 21st century.

  12. 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.

  13. Applications of artificial intelligence to digital photogrammetry

    SciTech Connect

    Kretsch, J.L.

    1988-01-01

    The aim of this research was to explore the application of expert systems to digital photogrammetry, specifically to photogrammetric triangulation, feature extraction, and photogrammetric problem solving. In 1987, prototype expert systems were developed for doing system startup, interior orientation, and relative orientation in the mensuration stage. The system explored means of performing diagnostics during the process. In the area of feature extraction, the relationship of metric uncertainty to symbolic uncertainty was the topic of research. Error propagation through the Dempster-Shafer formalism for representing evidence was performed in order to find the variance in the calculated belief values due to errors in measurements made together the initial evidence needed to being labeling of observed image features with features in an object model. In photogrammetric problem solving, an expert system is under continuous development which seeks to solve photogrammetric problems using mathematical reasoning. The key to the approach used is the representation of knowledge directly in the form of equations, rather than in the form of if-then rules. Then each variable in the equations is treated as a goal to be solved.

  14. 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.

  15. Application of artificial intelligence techniques to emergency response facilities architecture

    SciTech Connect

    Fouad, H.Y. )

    1991-01-01

    This paper reports on nuclear power plants designed, equipped, and operated within safety envelopes. Unanticipated failures, operator's malfunctions, and external events cause emergency conditions. Despite the fact that in the Three Mile Island and Chernobyl events the systems failed, there have been multitudes of other situations where systems succeeded. The use of artificial intelligence and expert systems techniques provide useful tools to meet those challenges. The application includes three phases: diagnostics, critical functions restoration, and optimum recovery. The use of expert systems techniques to enhance the operator functions in the emergency conditions are outlined.

  16. Artificial intelligence applications in offshore oil and gas production

    SciTech Connect

    Attia, F.G.; Tawfik, A.S.

    1994-12-31

    The field of Artificial Intelligence (AI) has gained considerable acceptance in virtually all fields, of engineering applications. Artificial intelligence is now being applied in several areas of offshore oil and gas operations, such as drilling, well testing, well logging and interpretation, reservoir engineering, planning and economic evaluation, process control, and risk analysis. Current AI techniques offer a new and exciting technology for solving problems in the oil and gas industry. Expert systems, fuzzy logic systems, neural networks and genetic algorithms are major AI technologies which have made an impact on the petroleum industry. Presently, these technologies are at different stages of maturity with expert systems being the most mature and genetic algorithms the least. However, all four technologies have evolved such that practical applications were produced. This paper describes the four major Al techniques and their many applications in offshore oil and gas production operations. A summary description of future developments in Al technology that will affect the execution and productivity of offshore operations will be also provided.

  17. 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).

  18. 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.

  19. 37 CFR 2.32 - Requirements for a complete application.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... complete application. (a) The application must be in English and include the following: (1) A request for... characters, a description of the mark; (9) If the mark includes non-English wording, an English translation... characters, and either a translation of the transliterated term in English, or a statement that...

  20. 37 CFR 2.32 - Requirements for a complete application.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... complete application. (a) The application must be in English and include the following: (1) A request for... characters, a description of the mark; (9) If the mark includes non-English wording, an English translation... characters, and either a translation of the transliterated term in English, or a statement that...

  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. 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.

  3. 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

  4. 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.

  5. 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 Telecommunications: A…

  6. 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…

  7. Enhancing Health Care Delivery through Ambient Intelligence Applications

    PubMed Central

    Kartakis, Sokratis; Sakkalis, Vangelis; Tourlakis, Panagiotis; Zacharioudakis, Georgios; Stephanidis, Constantine

    2012-01-01

    This paper presents the implementation of a smart environment that employs Ambient Intelligence technologies in order to augment a typical hospital room with smart features that assist both patients and medical staff. In this environment various wireless and wired sensor technologies have been integrated, allowing the patient to control the environment and interact with the hospital facilities, while a clinically oriented interface allows for vital sign monitoring. The developed applications are presented both from a patient's and a doctor's perspective, offering different services depending on the user's role. The results of the evaluation process illustrate the need for such a service, leading to important conclusions about the usefulness and crucial role of AmI in health care. PMID:23112664

  8. 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.

  9. Applications of artificial intelligence V; Proceedings of the Meeting, Orlando, FL, May 18-20, 1987

    NASA Technical Reports Server (NTRS)

    Gilmore, John F. (Editor)

    1987-01-01

    The papers contained in this volume focus on current trends in applications of artificial intelligence. Topics discussed include expert systems, image understanding, artificial intelligence tools, knowledge-based systems, heuristic systems, manufacturing applications, and image analysis. Papers are presented on expert system issues in automated, autonomous space vehicle rendezvous; traditional versus rule-based programming techniques; applications to the control of optional flight information; methodology for evaluating knowledge-based systems; and real-time advisory system for airborne early warning.

  10. Two-Dimensional Grammars And Their Applications To Artificial Intelligence

    NASA Astrophysics Data System (ADS)

    Lee, Edward T.

    1987-05-01

    During the past several years, the concepts and techniques of two-dimensional grammars1,2 have attracted growing attention as promising avenues of approach to problems in picture generation as well as in picture description3 representation, recognition, transformation and manipulation. Two-dimensional grammar techniques serve the purpose of exploiting the structure or underlying relationships in a picture. This approach attempts to describe a complex picture in terms of their components and their relative positions. This resembles the way a sentence is described in terms of its words and phrases, and the terms structural picture recognition, linguistic picture recognition, or syntactic picture recognition are often used. By using this approach, the problem of picture recognition becomes similar to that of phrase recognition in a language. However, describing pictures using a string grammar (one-dimensional grammar), the only relation between sub-pictures and/or primitives is the concatenation; that is each picture or primitive can be connected only at the left or right. This one-dimensional relation has not been very effective in describing two-dimensional pictures. A natural generaliza-tion is to use two-dimensional grammars. In this paper, two-dimensional grammars and their applications to artificial intelligence are presented. Picture grammars and two-dimensional grammars are introduced and illustrated by examples. In particular, two-dimensional grammars for generating all possible squares and all possible rhombuses are presented. The applications of two-dimensional grammars to solving region filling problems are discussed. An algorithm for region filling using two-dimensional grammars is presented together with illustrative examples. The advantages of using this algorithm in terms of computation time are also stated. A high-level description of a two-level picture generation system is proposed. The first level is the picture primitive generation using two

  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. 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.

  14. 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.

  15. 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.

  16. 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

  17. Application of Artificial Intelligence For Euler Solutions Clustering

    NASA Astrophysics Data System (ADS)

    Mikhailov, V.; Galdeano, A.; Diament, M.; Gvishiani, A.; Agayan, S.; Bogoutdinov, Sh.; Graeva, E.; Sailhac, P.

    Results of Euler deconvolution strongly depend on the selection of viable solutions. Synthetic calculations using multiple causative sources show that Euler solutions clus- ter in the vicinity of causative bodies even when they do not group densely about perimeter of the bodies. We have developed a clustering technique to serve as a tool for selecting appropriate solutions. The method RODIN, employed in this study, is based on artificial intelligence and was originally designed for problems of classification of large data sets. It is based on a geometrical approach to study object concentration in a finite metric space of any dimension. The method uses a formal definition of cluster and includes free parameters that facilitate the search for clusters of given proper- ties. Test on synthetic and real data showed that the clustering technique successfully outlines causative bodies more accurate than other methods of discriminating Euler solutions. In complicated field cases such as the magnetic field in the Gulf of Saint Malo region (Brittany, France), the method provides geologically insightful solutions. Other advantages of the clustering method application are: - Clusters provide solutions associated with particular bodies or parts of bodies permitting the analysis of different clusters of Euler solutions separately. This may allow computation of average param- eters for individual causative bodies. - Those measurements of the anomalous field that yield clusters also form dense clusters themselves. The application of cluster- ing technique thus outlines areas where the influence of different causative sources is more prominent. This allows one to focus on areas for reinterpretation, using different window sizes, structural indices and so on.

  18. 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.

  19. Conference on Artificial Intelligence for Applications, 8th, Monterey, CA, Mar. 2-6, 1992, Proceedings

    SciTech Connect

    Not Available

    1992-01-01

    The papers contained in this volume focus on various artificial intelligence applications, with attention given to integrating rule-base systems, enabling technologies, knowledge acquisition and learning, and intelligent interfaces and natural language processing. Other topics discussed include planning, scheduling, and constraint satisfaction; case-based reasoning, genetic algorithms, and fuzzy logic; design; and distributed problem solving and real-time systems. Papers are presented on representation and control of knowledge bases for support of multiple tasks, a multilevel diagnosis methodology for complex systems, intelligent assistance for the communication of information in large organizations, and qualitative/fuzzy approach to document recognition.

  20. Integration of artificial intelligence applications in the EMS: Issues and solutions

    SciTech Connect

    Bann, J.; Irisarri, G.; Kirschen, D.; Miller, B.; Mokhtari, S.

    1996-02-01

    This paper discusses the issues which must be addressed when integrating Artificial Intelligence (AI) and, in particular, expert system applications in an Energy Management System (EMS) environment. It is argued that these issues can be resolved by creating an environment which supports all the interfaces between the Artificial Intelligence (AI) applications and the EMS. This environment should also be responsible for maintaining a model of the power system common to all the AI applications. Once this environment has been created, AI applications can be easily plugged into the EMS. The design of such an environment is described and case studies of its implementation are provided to illustrate its flexibility.

  1. Integration of artificial intelligence applications in the EMS: Issues and solutions

    SciTech Connect

    Bann, J.; Irisarri, G.; Kirschen, D.; Miller, B.; Mokhtari, S.

    1995-12-31

    This paper discusses the issues which must be addressed when integrating Artificial Intelligence (AI) and, in particular, expert system applications in an Energy Management System (EMS) environment. It is argued that these issues can be resolved by creating an environment which supports all the interfaces between the Artificial Intelligence (AI) applications and the EMS. This environment should also be responsible for maintaining a model of the power system common to all the AI applications. Once this environment has been created, AI applications can be easily plugged into the EMS. The design of such an environment is described and case studies of its implementation are provided to illustrate its flexibility.

  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. 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.

  4. The Application of Multiple Intelligences Theory to Reading Instruction.

    ERIC Educational Resources Information Center

    Alexander, James C.

    Top-down and bottom-up theories have long dominated the field of reading. Recently, interactive models have been proposed by some researchers. One model, the interactive-compensatory model, hypothesizes that a deficiency in one processing area is compensated for by a relative strength in another area. The concept of multiple intelligences is one…

  5. 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…

  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. [Dental application of superplastic forming for titanium complete denture bases].

    PubMed

    Murakami, H

    1989-03-01

    In order to investigate the application of superplastic in forming dental prosthesis, the sheets of titanium and its alloy were deformed to the complete denture bases by using a trial hot press and ceramic die. The results are summarized as follows: 1) By the hot press. It was possible to deform the sheet at a deformation speed ranging from 1 x 10(-3) to 3 x 10(-2) mm/sec at a temperature up to 900 degrees C under a vacuum down to 10(-3) Torr. 2) The trial ceramic die was prepared by sintering the green of the CaO-TiO2-ZrO2-MgCl2 system at 1150 degrees C for 6 hours in the atmosphere. The compressive strength, the thermal expansion, and the surface roughness of the test piece of the die were 11 kg/cm2, 0.8%, Ra = 1.4 microns and Rz = 6.8 microns, respectively. 3) Both the sheet of pure chemical titanium and commercial superplastic titanium alloy Ti-6Al-4V were deformed under the conditions of about 0.1 mm/min, 850 degrees C, and 10(-3) Torr. The deformed surface of the complete denture bases appeared to be nearly the same metallic color of each raw sheet and the pattern was the same as the detail of the die. The oxygen enriched layer of the article determined by EPMA was far thinner than that of a dental cast. PMID:2610309

  8. 7 CFR 97.17 - Papers of completed application to be retained.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 3 2011-01-01 2011-01-01 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...

  9. 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...

  10. 37 CFR 1.53 - Application number, filing date, and completion of application.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... paragraph was filed, except by way of correction of inventorship under § 1.48. (5) Any new change must be... 37 Patents, Trademarks, and Copyrights 1 2011-07-01 2011-07-01 false Application number, filing date, and completion of application. 1.53 Section 1.53 Patents, Trademarks, and Copyrights...

  11. 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.

  12. 1988 Goddard Conference on Space Applications of Artificial Intelligence, Greenbelt, MD, May 24, 1988, Proceedings

    NASA Technical Reports Server (NTRS)

    Rash, James L. (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.

  13. Intelligent water drops for aerospace and defense applications

    NASA Astrophysics Data System (ADS)

    Straub, Jeremy

    2014-05-01

    A modified version of the intelligent water drop algorithm for performing planning for air and ground robots based on telemetry provided by satellites has been created. The IWD algorithm works by simulating the flow of water drops in a stream-network, dynamically adapting drop and network characteristics. This paper presents the base IWD algorithm, a simplified version of the algorithm (SIWD) and a derivative of this simplified version that has been adapted and applied to planning air and ground robot paths based upon orbital (for aerial) and aerial (for ground) imagery. An analysis of the performance of the algorithm is presented.

  14. Automata in random environments with application to machine intelligence

    SciTech Connect

    Wegman, E.J.; Gould, J.

    1982-09-01

    Computers and brains are modeled by finite and probabilistic automata, respectively. Probabilistic automata are known to be strictly more powerful than finite automata. The observation that the environment affects behavior of both computer and brain is made. Automata are then modeled in an environment. Theorem 1 shows that useful environmental models are those which are infinite sets. A probabilistic structure is placed on the environment set. Theorem 2 compares the behavior of finite (deterministic) and probabilistic automata in random environments. Several interpretations of theorem 2 are discussed which offer some insight into some mathematical limits of machine intelligence. 15 references.

  15. Geographic applications program: Reports completed and in preparation

    NASA Technical Reports Server (NTRS)

    Alexander, R. H. (Compiler)

    1969-01-01

    The purpose of the present compilation is to bring together for ready reference a list of all reports, both completed and in preparation, resulting from NASA sponsorship of the geography program. Wherever possible, complete bibliographic citations are given. Since some of the 141 reports listed are not yet completed, citations can not all be in complete form. The reason for including incomplete citations is the sponsor's need for rather rapid feed-back of information so that it can have a bearing on on-going program planning. This should, therefore, be considered a working bibliography.

  16. 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.

  17. Applications of Some Artificial Intelligence Methods to Satellite Soundings

    NASA Technical Reports Server (NTRS)

    Munteanu, M. J.; Jakubowicz, O.

    1985-01-01

    Hard clustering of temperature profiles and regression temperature retrievals were used to refine the method using the probabilities of membership of each pattern vector in each of the clusters derived with discriminant analysis. In hard clustering the maximum probability is taken and the corresponding cluster as the correct cluster are considered discarding the rest of the probabilities. In fuzzy partitioned clustering these probabilities are kept and the final regression retrieval is a weighted regression retrieval of several clusters. This method was used in the clustering of brightness temperatures where the purpose was to predict tropopause height. A further refinement is the division of temperature profiles into three major regions for classification purposes. The results are summarized in the tables total r.m.s. errors are displayed. An approach based on fuzzy logic which is intimately related to artificial intelligence methods is recommended.

  18. Application of Artificial Intelligence for Bridge Deterioration Model.

    PubMed

    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.

  19. 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.

  20. Intelligent transportation systems applications to transportation demand management. Final report

    SciTech Connect

    Wallace, C.E.; Kilpatrick, A.K.; Schneider, K.R.

    1996-04-01

    The primary focus of Intelligent Transportation Systems (ITS) is on traffic management systems, advanced traveler information systems, and so forth. Further, ITS is most readily identified with such systems urban areas because the majority of transportation management infrastructures and traffic congestion exist in these densely populated areas. ITS however, must not be restricted to supply-side options. Transportation demand management (TDM) can potentially have a significant impact on congestion, energy conservation and the environment. This paper presents the results of a preliminary study of ITS implications for TDM. It reports on a number of related projects undertaken around the U.S. and in Canada. It offers recommendations for expanding ITS involvement in TDM.

  1. 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.

  2. 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

  3. 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

  4. Artificial intelligence

    SciTech Connect

    Firschein, O.

    1984-01-01

    This book presents papers on artificial intelligence. Topics considered include knowledge engineering, expert systems, applications of artificial intelligence to scientific reasoning, planning and problem solving, error recovery in robots through failure reason analysis, programming languages, natural language, speech recognition, map-guided interpretation of remotely-sensed imagery, and image understanding architectures.

  5. 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...

  6. 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...

  7. 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...

  8. Combination of artificial intelligence and procedural language programs in a computer application system supporting nuclear reactor operations

    SciTech Connect

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

    1985-01-01

    A computer application system is described which provides nuclear reactor power plant operators with an improved decision support system. This system combines traditional computer applications such as graphics display with artificial intelligence methodologies such as reasoning and diagnosis so as to improve plant operability. This paper discusses the issues, and a solution, involved with the system integration of applications developed using traditional and artificial intelligence languages.

  9. Rural applications of intelligent transportation systems. Final report

    SciTech Connect

    Wallace, C.E.; Kilpatrick, A.K.; Schneider, K.R.

    1996-03-01

    The Intelligent Transportation Systems (ITS) program in the U.S.A. is understandably directed primarily toward urbanized areas where congestion is highest, yet rural areas account for four times the mileage of highways. Although 60% of total travel is urban, the 40% on rural roads is still a major share of the nation`s travel demand and, unfortunately, the percentages of fatal accidents are nearly reversed--57% rural. Travelers on rural facilities, whether they be high-type, access controlled highways or two-lane country roads, have needs in common with urban travelers, but also particular problems that distinguish driving on these facilities from urban travel. This report addresses the rural travel community needs and the potential benefits that ITS can deliver. It compares the ITS User Services Requirements against perceived rural traveler needs. It summarizes the results of several specialty conferences on rural ITS and describes a number of projects in the area. Specific recommendations offer a plan for heightening the awareness of ITS needs in rural areas.

  10. 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.

  11. 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.

  12. Community Intelligence in Knowledge Curation: An Application to Managing Scientific Nomenclature

    PubMed Central

    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. PMID:23451119

  13. 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. PMID:23451119

  14. Dynamics beyond completely positive maps: Some properties and applications

    NASA Astrophysics Data System (ADS)

    Carteret, Hilary A.; Terno, Daniel R.; Życzkowski, Karol

    2008-04-01

    Maps that are not completely positive (CP) are often useful to describe the dynamics of open systems. An apparent violation of complete positivity can occur because there are prior correlations of the principal system with the environment, or if the applied transformation is correlated with the state of the system. We provide a physically motivated definition of accessible non-CP maps and derive two necessary conditions for a map to be accessible. We also show that entanglement between the system and the environment is not necessary to generate a non-CP dynamics. We describe two simple approximations that may be sufficient for some problems in process tomography, and then outline what these methods may be able to tell us in other situations where non-CP dynamics naturally arise.

  15. 18 CFR 806.16 - Completeness of application.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... to cure the administrative deficiencies. An application deemed technically deficient may be returned to the project sponsor, who shall have a period of time prescribed by Commission staff to cure the technical deficiencies. Failure to cure either administrative or technical deficiencies within...

  16. Applications of horizontal well completions to gas-productive formations

    SciTech Connect

    Hill, R.E.; Peterson, R.E.; Middlebrook, M.I. ); Aslakson, J.K. )

    1993-08-01

    The Gas Research Institute (GRI) has initiated a project to determine the reservoir characteristics and appropriate horizontal well designs in various gas-productive formations. The goal of the project is to evaluate horizontal completions as a means of reducing unit production costs in comparison to vertical well-completion methods. Three gas-productive formations were evaluated in the initial phase of the project: the Mancos B on the Douglas Creek arch in northwestern Colorado; the Davis Sand in the Fort Worth basin; and the Barnett Shale, also in the Fort Worth basin. Geologic and engineering data from vertical wells were collected for each formation and used to strategically plan offset horizontal wells. Specifically, information was gathered to characterize the natural and induced fractures, model the reservoirs, and establish a production baseline for each reservoir. The next phase involved GRI participation in the drilling of the three offset horizontal wells with three independent producers. A 1500-ft horizontal section was air drilled across the Mancos B; a 2000-ft horizontal well was air drilled in the Davis sandstone; and a 2000-ft horizontal section was fluid drilled across the 300-ft-thick Barnett Shale. Each of the horizontal wells exhibit varying reservoir characteristics and associated gas production.

  17. 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

  18. 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

    2014-01-01

    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

  19. 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.

  20. 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.

  1. 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

  2. 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. PMID:26819582

  3. 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…

  4. 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.

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

    NASA Technical Reports Server (NTRS)

    VanDalsem, William R.

    1994-01-01

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

  6. 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.

  7. 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.

  8. 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.

  9. Technology forecast and applications for autonomous, intelligent systems

    NASA Astrophysics Data System (ADS)

    Lum, Henry; Heer, Ewald

    Since 1984, the National Aeronautics and Space Administration's (NASA) Office of Aeronautics and Space Technology (OAST) has aggressively supported a research and development program for the development and demonstration of autonomous system technologies for aerospace applications. Significant research products are emerging from this program and have been evaluated in various space science and aerospace mission environments. Systems technology demonstrations such as the Space Station Thermal Control System, the Space Shuttle Integrated Communications Officer Station for ground mission operations, and the Space Shuttle Launch Processing Facility are being conducted in mission operations environments this year and have already provided additional focus and research directions to the OAST Systems Autonomy Technology Program. The preliminary software for the system technology demonstrations has been integrated into the respective operational environments for the demonstrations scheduled for late 1988. The results obtained to date have changed the original direction and focus of the Systems Autonomy Technology Program.

  10. 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.

  11. 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

  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. 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…

  14. 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.

  15. 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…

  16. 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...

  17. 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...

  18. 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.

  19. Northeast Artificial Intelligence Consortium (NAIC). Volume 8. Artificial intelligence applications to speech recognition. Final report, Sep 84-Dec 89

    SciTech Connect

    Rhody, H.; Biles, J.

    1990-12-01

    The Northeast Artificial Intelligence Consortium (NAIC) was created by the Air Force Systems Command, Rome Air Development Center, and the Office of Scientific Research. Its purpose was to conduct pertinent research in artificial intelligence and to perform activities ancillary to this research. This report describes progress during the existence of the NAIC of the technical research tasks undertaken at the member universities. The topics covered in general are: versatile expert system for equipment maintenance, distributed AI for communications system control, automatic photointerpretation, time-oriented problem solving, speech understanding systems, knowledge based maintenance, hardware architectures for very large systems, knowledge based reasoning and planning, and a knowledge acquisition, assistance, and explanation system. The specific topic for this volume is the design and implementation of a knowledge-based system to read speech spectrograms.

  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. 37 CFR 1.741 - Complete application given a filing date; petition procedure.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... applicable regulatory review period with respect to the approved product and the significant dates applicable... and Extension of Patent Term Extension of Patent Term Due to Regulatory Review § 1.741 Complete... identification of the approved product; (2) An identification of each Federal statute under which...

  2. 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

  3. Intelligent Buildings

    SciTech Connect

    Brambley, Michael R.; Armstrong, Peter R.; Kintner-Meyer, Michael CW; Pratt, Robert G.; Katipamula, Srinivas

    2001-01-01

    The topic of "intelligent buildings" (IBs) emerged in the early 1980s. Since, the term has been used to represent a variety of related, yet differing topics, each with a slightly different focus and purpose. Wiring and networking-infrastructure companies emphasize the cabling requirements for communication in intelligent buildings and the need to accommodate future needs for higher-speed broadband. Lucent (Lucent 2000) for example, defines an IB as "...one with a completely integrated wiring architecture. A single cabling system that handles all information traffic - voice, data, video, even the big building management systems."

  4. 37 CFR 1.53 - Application number, filing date, and completion of application.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... application that names as inventors the same or fewer than all of the inventors named in the prior application... continuation or divisional application naming an inventor not named in the prior application must be filed... the prior application; (iii) Names as inventors the same inventors named in the prior application...

  5. 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.

  6. 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.

  7. Application of the Theory of Multiple Intelligences to Second Language Learners in Classroom Situations.

    ERIC Educational Resources Information Center

    Poole, Gloria T.

    This paper argues for the "nurture" side of the "nature versus nurture" debate of the nature of intelligence. It argues for the theory of multiple intelligences in relation to sociocultural and cognitive perspectives of second language learning. A brief historical overview of intelligence is presented, and classroom practices that lead to…

  8. New application of intelligent agents in sporadic amyotrophic lateral sclerosis identifies unexpected specific genetic background

    PubMed Central

    Penco, Silvana; Buscema, Massimo; Patrosso, Maria Cristina; Marocchi, Alessandro; Grossi, Enzo

    2008-01-01

    -480 C/T; endothelial nitric oxide synthase 690 C/T and glu298asp; vitamin K-dependent coagulation factor seven arg353glu, glycoprotein Ia/IIa 873 G/A and E-selectin ser128arg. Conclusion This study provides an alternative and reliable method to approach complex diseases. Indeed, the application of a novel artificial intelligence-based method offers a new insight into genetic markers of sporadic ALS pointing out the existence of a strong genetic background. PMID:18513389

  9. 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.

  10. 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.

  11. 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. PMID:26630107

  12. 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.

  13. Parallel artificial-intelligence search techniques for real-time applications. Master's thesis

    SciTech Connect

    Shakley, D.J.

    1987-12-01

    State-space search is an important component of many problem-solving methodologies. The computational models within Artificial Intelligence depend heavily upon state-space searches. Production systems are one such computational model. Production systems are being explored for real-time environments where timing is of a critical nature. Parallel processing of these systems and, in particular, concurrent state-space searching seems to provide a promising method to increase the performance (effective and efficient) of production systems in the real-time environment. Production systems in the form of expert systems, for example, are being used to govern the intelligent control of the Robotic Air Vehicle (RAV) which is currently a research project at the Air Force Wright Aeronautical Laboratories. Due to the nature of the RAV system, the associated expert system needs to perform in a demanding real-time environment. The use of a parallel-processing capability to support the associated computational requirement may be critical in this application. Thus, parallel search algorithms for real-time expert systems are designed, analyzed, and synthesized on the Texas Instruments (TI) Explorer and Intel Hypercube.

  14. 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.

  15. 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

  16. 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...

  17. 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.

  18. 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.

  19. Developing Applications of Artificial Intelligence Technology To Provide Consultative Support in the Use of Research Methodology by Practitioners.

    ERIC Educational Resources Information Center

    Vitale, Michael R.; Romance, Nancy

    Adopting perspectives based on applications of artificial intelligence proven in industry, this paper discusses methodological strategies and issues that underlie the development of such software environments. The general concept of an expert system is discussed in the context of its relevance to the problem of increasing the accessibility of…

  20. Design and Evaluation of an Intelligent Remote Tidal Volume Variability Monitoring System in E-Health Applications.

    PubMed

    Fekr, Atena Roshan; Radecka, Katarzyna; Zilic, Zeljko

    2015-09-01

    A reliable long-term monitoring and diagnosis of breath disorders at an early stage provides an improvement of medical act, life expectancy, and quality of life while decreasing the costs of treatment and medical services. Therefore, a real-time unobtrusive monitoring of respiration patterns, as well as breath parameters, is a critical need in medical applications. In this paper, we propose an intelligent system for patient home care, capable of measuring respiration rate and tidal volume variability via a wearable sensing technology. The proposed system is designed particularly for the goal of diagnosis and treatment in patients with pathological breathing, e.g., respiratory complications after surgery or sleep disorders. The complete system was comprised of wearable calibrated accelerometer sensor, Bluetooth low energy, and cloud database. The experiments are conducted with eight subjects and the overall error in respiration rate calculation is obtained 0.29%±0.33% considering SPR-BTA spirometer as the reference. We also introduce a method for tidal volume variability estimation while validated using Pearson correlation. Furthermore, since it is essential to detect the critical events resulted from sudden rise or fall in per breath tidal volume of the patients, we provide a technique to automatically find the accurate threshold values based on each individual breath characteristics. Therefore, the system is able to detect the major changes, precisely by more than 98%, and provide immediate feedback such as sound alarm for round-the-clock respiration monitoring. PMID:26087508

  1. Design and Evaluation of an Intelligent Remote Tidal Volume Variability Monitoring System in E-Health Applications.

    PubMed

    Fekr, Atena Roshan; Radecka, Katarzyna; Zilic, Zeljko

    2015-09-01

    A reliable long-term monitoring and diagnosis of breath disorders at an early stage provides an improvement of medical act, life expectancy, and quality of life while decreasing the costs of treatment and medical services. Therefore, a real-time unobtrusive monitoring of respiration patterns, as well as breath parameters, is a critical need in medical applications. In this paper, we propose an intelligent system for patient home care, capable of measuring respiration rate and tidal volume variability via a wearable sensing technology. The proposed system is designed particularly for the goal of diagnosis and treatment in patients with pathological breathing, e.g., respiratory complications after surgery or sleep disorders. The complete system was comprised of wearable calibrated accelerometer sensor, Bluetooth low energy, and cloud database. The experiments are conducted with eight subjects and the overall error in respiration rate calculation is obtained 0.29%±0.33% considering SPR-BTA spirometer as the reference. We also introduce a method for tidal volume variability estimation while validated using Pearson correlation. Furthermore, since it is essential to detect the critical events resulted from sudden rise or fall in per breath tidal volume of the patients, we provide a technique to automatically find the accurate threshold values based on each individual breath characteristics. Therefore, the system is able to detect the major changes, precisely by more than 98%, and provide immediate feedback such as sound alarm for round-the-clock respiration monitoring.

  2. 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.

  3. 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. PMID:24505723

  4. 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.

  5. Flexible coprocessor architectures for ambient intelligent applications in the mobile communication and automotive domain

    NASA Astrophysics Data System (ADS)

    Gehrke, Winfried; Jachalsky, Joern; Wahle, Martin; Kruijtzer, Wido; Alba, Carlos; Sethuraman, Ramanathan

    2003-04-01

    Ambient Intelligent is expected to become one of the driving key factors of the semiconductors industry in this decade. One of the most promising areas in this respect is the advent of embedded smart imaging applications in a variety of consumer applications, like mobile communication devices and the automotive domain. The efficient VLSI implementation of these applications requires architectural concepts that enable the extraction of objects and associated information out of video sequences in real-time. The main architectural challenge is to find an appropriate trade-off between architectural flexibility and scalability in order to cope with moderate variations of the applied smart imaging algorithms on one hand and cost efficiency of the implementation on the other hand. This paper describes the algorithmic and architectural requirements for the implementation of smart imaging applications in the mentioned fields. The target system, based on an embedded RISC processor, embedded memory, and cores for accelerating essential functions, like morphological operations, connected component labeling, motion extraction etc., is presented. The functional system partitioning applied is based on HW acceleration of core functions that enable the extraction of low-level information out of the images of a video sequence. This information is provided to the embedded RISC processor for further abstraction of the image content information and interpretation of the image content by SW means. One of the focal points of this paper is the derivation of efficient architectural concepts for smart imaging coprocessors, acting as a system toolbox for accelerating the required smart imaging core functions.

  6. On an investigation into Intelligent Transportation System (ITS) safety and traffic efficiency applications

    NASA Astrophysics Data System (ADS)

    Ekedebe, Nnanna

    2015-05-01

    Vehicle-to-X (V2X) ( vehicle-to-vehicle [V2V], and vehicle-to-infrastructure [V2I]) communication, used in intelligent transportation system (ITS)/vehicular ad hoc networks (VANETs), promises improved traffic efficiency, road safety, and provision of infotainment services, etc. However, the levels of these improvements have not been clearly researched and documented especially in realistic environments [2]. Consequently, using field and simulation data, we investigate the safety and traffic efficiency application benefits of V2V communication applications in a realistic scenario. In order to do this, we built a real-world simulation test-bed using real-world/field traffic data of the Maryland (MD)/Washington DC and Virginia (VA) area from July 2012 to December 2012. In addition, we developed an application called incident warning application (IWA) of which IWA-equipped vehicles make use of it to bypass a compound road accident, slippery roadway caused by ice, and reduced visibility as a result of fog; unequipped/classic vehicles are unaware of this and hence suffer adverse effects. On the average, our results show that, indeed, tangible benefits/improvements with respect to travel time (126.78%), average speed (56.12%), fuel consumption (8.05%), CO2 emissions (8.05%) together with other evaluated performance metrics are derivable from V2V communication especially at specific IWA-equipped vehicles penetration rates.

  7. Artificial Intelligence

    SciTech Connect

    Shirai, Y.; Tsujii, Jun-ichi

    1985-01-01

    Based on the Japanese 5th Generation Computer Program, this volume provides coverage of the fundamental concepts and various techniques in the different applications of Artificial Intelligence. Also presented are the methods which can be used to put these concepts and techniques into practice. Explanations are presented of all the basic topics in the field, including the representation of problems; searching techniques; the control of problem solving; programming languages for Al, such as LISP, PLANNER, CONNIVER, and PROLOG; the representation and utilization of knowledge; and the approach to human intelligence.

  8. 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.

  9. 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

  10. 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.

  11. 40 CFR 1048.210 - 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? 1048.210 Section 1048.210 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR POLLUTION CONTROLS CONTROL OF EMISSIONS FROM NEW, LARGE NONROAD...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 77 FR 35377 - Dolores Water Conservancy District; Notice of Completing Preliminary Permit Application Accepted...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-06-13

    ... Energy Regulatory Commission Dolores Water Conservancy District; Notice of Completing Preliminary Permit Application Accepted for Filing and Soliciting Comments and Motions To Intervene On May 10, 2012, Dolores... located on Plateau Creek, near the town of Dolores, Montezuma County, Colorado. The project...

  19. 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...

  20. Application of computer artificial intelligence techniques to analyzing the status of typical utility electrical power plant systems

    SciTech Connect

    Nilsson, N.E.

    1989-03-01

    The capabilities of the computer have increased from data manipulation and computation to controlling industrial robots and assisting in heuristic consultations through the use of artificial techniques. This paper will describe the application of artificial intelligence (AI) techniques to a mature technology, specifically utility electrical power plant systems. The considerations inherent in proceeding with the deployment of AI techniques in the form of an Expert System will be presented and opportunities for improvements in this application will be discussed.

  1. 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.

  2. 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

  3. 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

  4. 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.

  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. Uncovering Students' Analytic, Practical, and Creative Intelligences: One School's Application of Sternberg's Triarchic Theory.

    ERIC Educational Resources Information Center

    English, Lynn

    1998-01-01

    Robert Sternberg's triarchic theory of intelligence presupposes that students exhibit at least three kinds of intelligence: creative, practical, and analytical. Staff at the Wake County (North Carolina) School System designed learning activities to give students balanced experiences and a time to shine in the learning mode that suits them best.…

  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. 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).

  9. 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...

  10. 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...

  11. 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...

  12. 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.

  13. 37 CFR 1.53 - Application number, filing date, and completion of application.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ...) The filing of a request for a statutory invention registration under § 1.293 in the application filed.... No request under § 1.293 for a statutory invention registration may be filed in a provisional... deletion of the name or names of the person or persons who are not inventors of the invention being...

  14. 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.

  15. 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

    2015-09-01

    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.

  16. 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.

  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 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.

  19. iSANLA: intelligent sensor and actuator network for life science applications.

    PubMed

    Schloesser, Mario; Schnitzer, Andreas; Ying, Hong; Silex, Carmen; Schiek, Michael

    2008-01-01

    In the fields of neurological rehabilitation and neurophysiological research there is a strong need for miniaturized, multi channel, battery driven, wireless networking DAQ systems enabling real-time digital signal processing and feedback experiments. For the scientific investigation on the passive auditory based 3D-orientation of Barn Owls and the scientific research on vegetative locomotor coordination of Parkinson's disease patients during rehabilitation we developed our 'intelligent Sensor and Actuator Network for Life science Application' (iSANLA) system. Implemented on the ultra low power microcontroller MSP430 sample rates up to 96 kHz have been realised for single channel DAQ. The system includes lossless local data storage up to 4 GB. With its outer dimensions of 20mm per rim and less than 15 g of weight including the Lithium-Ion battery our modular designed sensor node is thoroughly capable of up to eight channel recordings with 8 kHz sample rate each and provides sufficient computational power for digital signal processing ready to start our first mobile experiments. For wireless mobility a compact communication protocol based on the IEEE 802.15.4 wireless standard with net data rates up to 141 kbit/s has been implemented. To merge the lossless acquired data of the distributed iNODEs a time synchronization protocol has been developed preserving causality. Hence the necessary time synchronous start of the data acquisition inside a network of multiple sensors with a precision better than the highest sample rate has been realized. PMID:19163178

  20. 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].

  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. 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. 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

  4. 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.

  5. Applications of artificial intelligence IV; Proceedings of the Meeting, Innsbruck, Austria, Apr. 15, 16, 1986

    SciTech Connect

    Gilmore, J.F.

    1986-01-01

    An expert system for roving robotics; hybrid expert systems in image analysis; the use of PROLOG in automatic speech recognition; a knowledge-based geological prospecting system; the use of AI technology in failsafe real-time systems; computer vision for artificially intelligent robotic systems; and a knowledge representation system for searching trajectories in robotics are examined. Attention is given to using contextual data in classification algorithms; real-time intelligent hardware-based image processing; a parallel intelligent system; a LISP machine; a graphical display intelligence software based on a raster scan; and the extraction of uniform regions with minimization of noise points effects. Topics discussed include an active coordinate imaging system for robot vision; the design of a smart sensor system for real-time remote sensing image processing on-board a satellite; texture defects and visual inspection; the three-dimensional modeling of industrial parts for image analysis; and a new type of cellular turing acceptor.

  6. Normalization of Complete Genome Characteristics: Application to Evolution from Primitive Organisms to Homo sapiens

    PubMed Central

    Sorimachi, Kenji; Okayasu, Teiji; Ohhira, Shuji

    2015-01-01

    Normalized nucleotide and amino acid contents of complete genome sequences can be visualized as radar charts. The shapes of these charts depict the characteristics of an organism’s genome. The normalized values calculated from the genome sequence theoretically exclude experimental errors. Further, because normalization is independent of both target size and kind, this procedure is applicable not only to single genes but also to whole genomes, which consist of a huge number of different genes. In this review, we discuss the applications of the normalization of the nucleotide and predicted amino acid contents of complete genomes to the investigation of genome structure and to evolutionary research from primitive organisms to Homo sapiens. Some of the results could never have been obtained from the analysis of individual nucleotide or amino acid sequences but were revealed only after the normalization of nucleotide and amino acid contents was applied to genome research. The discovery that genome structure was homogeneous was obtained only after normalization methods were applied to the nucleotide or predicted amino acid contents of genome sequences. Normalization procedures are also applicable to evolutionary research. Thus, normalization of the contents of whole genomes is a useful procedure that can help to characterize organisms. PMID:26085808

  7. 23 CFR 661.27 - What does a complete application package for construction consist of and how does the project...

    Code of Federal Regulations, 2012 CFR

    2012-04-01

    ... ROAD BRIDGE PROGRAM § 661.27 What does a complete application package for construction consist of and how does the project receive funding? (a) A complete application package for construction consists of... construction consist of and how does the project receive funding? 661.27 Section 661.27 Highways...

  8. 23 CFR 661.27 - What does a complete application package for construction consist of and how does the project...

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... ROAD BRIDGE PROGRAM § 661.27 What does a complete application package for construction consist of and how does the project receive funding? (a) A complete application package for construction consists of... construction consist of and how does the project receive funding? 661.27 Section 661.27 Highways...

  9. 23 CFR 661.27 - What does a complete application package for construction consist of and how does the project...

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    ... ROAD BRIDGE PROGRAM § 661.27 What does a complete application package for construction consist of and how does the project receive funding? (a) A complete application package for construction consists of... construction consist of and how does the project receive funding? 661.27 Section 661.27 Highways...

  10. 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.

  11. 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.

  12. Application of martensitic, modified martensitic and duplex stainless steel bar stock for completion equipment

    SciTech Connect

    Bhavsar, R.B.; Montani, R.

    1998-12-31

    Martensitic and duplex stainless steel tubing are commonly used for oil and gas applications containing CO{sub 2}. Completion equipment manufacturing requires use of solid round bar or heavy wall hollows. Material properties for this stock are not identical in all cases. Material properties as well as corrosion characteristics are discussed for 13Cr, 13Cr-5Ni-2Mo and 25Cr alloys. Corrosion testing of modified or Enhanced 13Cr solid bar stock, UNS S41425 and other compositions in H{sub 2}S-Cl{sup {minus}} and pH is reported in coupled and uncoupled condition. Corrosion testing of various super duplex bar stock at various H{sub 2}S-chlorides and temperature in CO{sub 2} environment is reported. Impact value requirements, welding issues and special consideration required for these alloys for completion equipment is discussed. Modified 13Cr and Super Duplex Oil Country Tubular Goods (OCTG) are readily available, however, availability of completion equipment raw material compatible with these OCTG is limited.

  13. Intelligent Tutoring Systems.

    ERIC Educational Resources Information Center

    Ross, Peter

    1987-01-01

    Discusses intelligent tutoring systems (ITS), one application of artificial intelligence to computers used in education. Basic designs of ITSs are described; examples are given including PROUST, GREATERP, and the use of simulation with ITSs; protocol analysis is discussed; and 38 prototype ITSs are listed. (LRW)

  14. Artificial Intelligence and Information Retrieval.

    ERIC Educational Resources Information Center

    Teodorescu, Ioana

    1987-01-01

    Compares artificial intelligence and information retrieval paradigms for natural language understanding, reviews progress to date, and outlines the applicability of artificial intelligence to question answering systems. A list of principal artificial intelligence software for database front end systems is appended. (CLB)

  15. 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.

  16. 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.

  17. Application of carbon fiber (CF)-cloth reinforcement to upper complete denture base.

    PubMed

    Miyairi, H; Nagai, M; Takayama, Y

    1983-12-01

    The acrylic resin denture base is used more than the usual metal denture base because of the low cost, simple process to make and easy rebasing. But, as the strength of the resin is weaker, the upper resin denture base is three to four times as thick as the metal denture base. So, a study was made to make the upper complete resin denture base thinner while maintaining the strength of the resin denture bases currently in use now. To make the palatal area of the denture base thinner was made possible by the application of carbon fiber (CF)-cloth reinforcement. The resin denture base reinforced by the CF-cloth was of a thickness of 0.7 mm and was evaluated for the mechanical properties of bending. As a result, it was found that both the stiffness and strength were improved by 10% or more as compared with those of the ordinary resin denture bases. PMID:6589087

  18. 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.

  19. 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.

  20. 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.

  1. 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…

  2. Emotional Intelligence in Applicant Selection for Care-Related Academic Programs

    ERIC Educational Resources Information Center

    Zysberg, Leehu; Levy, Anat; Zisberg, Anna

    2011-01-01

    Two studies describe the development of the Audiovisual Test of Emotional Intelligence (AVEI), aimed at candidate selection in educational settings. Study I depicts the construction of the test and the preliminary examination of its psychometric properties in a sample of 92 college students. Item analysis allowed the modification of problem items,…

  3. 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…

  4. Annual Aerospace Applications of Artificial Intelligence Conference, 1st, Dayton, OH, September 16-19, 1985, Proceedings

    SciTech Connect

    Johnson, J.R.

    1985-01-01

    Topics of interest at the forefront of the development and implementation of artificial intelligence (AI) systems are detailed. Consideration is given to AI applications in the avionics displays in fighter aircraft, in manufacturing and in ground-based Shuttle navigation monitoring systems. An implementation of LISP on a SIMD is described, along with frame-based knowledge representation for processing planning. Progress in the use of expert systems in an advisory role for the design of video display units and for trouble-shooting system problems in a tactical fighter is assessed. Finally, design and performance features and aplications of the ASPRO parallel processor inference engine are summarized.

  5. Application of intelligent controls in EPA`s combustion technology research and development. Report for October 1993--July 1998

    SciTech Connect

    Miller, C.A.; Lemieux, P.M.

    1998-12-31

    The abstract provides a brief description of the work at EPA`s to apply artificial intelligence (AI) methods to control certain combustion emissions. In recent years, studies have been conducted to evaluate fuzzy logic and artificial neural networks as means to improve the performance of combustion systems and instrumentation to monitor those systems. A mission of EPA`s is the application of new technologies to the problem of preventing and controlling air pollution from combustion sources. One area of interest is the use of AI methods to improve the performance of existing air pollution control technologies, in terms of both operating and economic efficiencies.

  6. 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.

  7. 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…

  8. Using Intelligent Agents To Assist Educators.

    ERIC Educational Resources Information Center

    Knode, Steve; Knode, Jon-David W.

    This paper begins with background on intelligent agents (software programs built to perform certain specific tasks for the user). A taxonomy that categorizes intelligent agents by the degree of intelligence embedded in the software is presented. Applications of today's intelligent agents are discussed, including specific examples of the following:…

  9. 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.

  10. 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

  11. Intelligent Intelligence Testing.

    ERIC Educational Resources Information Center

    Pedrini, Bonnie; Pedrini, D. T.

    Intelligence tests should be used to help persons; they should not be used to penalize persons. Furthermore, our focus should be on treatment; it should not be on labeling. IQ testers often stigmatize young children and poor persons (children, adolescents, adults). Large groups of Black Americans, Spanish Americans, and Indian Americans are…

  12. Applications of artificial intelligence; Proceedings of the Meeting, Arlington, VA, May 3, 4, 1984

    SciTech Connect

    Gilmore, J.F.

    1984-01-01

    Subjects related to expert systems are discussed, taking into account a context dependent automatic target recognition system, computer understanding of air traffic control displays, the role of the image analyst in computer vision, a demonstration of an ocean surveillance information fusion expert system, and the location of multiple faults by diagnostic expert systems. Other topics explored are concerned with knowledge-based systems, autonomous vehicles, and image understanding. Attention is given to aspects of interfacing an intelligent decision-maker to a real-time control system, a reasoning system for computer aided engineering, an intelligent optical design program, an adaptive interpolator algorithm for area-array fine guidance sensors, terrain navigation concepts for autonomous vehicles, the autonomous helicopter system, an autonomous vehicle navigation algorithm, the planning of strategic paths through variable terrain data, the contextual analysis of tactical scenes, and a structural target analysis and recognition system.

  13. 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.

  14. 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.

  15. 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.

  16. Application of Wireless Intelligent Control System for HPS Lamps and LEDs Combined Illumination in Road Tunnel

    PubMed Central

    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. PMID:25587266

  17. 12 CFR Appendix A to Part 203 - Form and Instructions for Completion of HMDA Loan/Application Register

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... Loan/Application Register A Appendix A to Part 203 Banks and Banking FEDERAL RESERVE SYSTEM BOARD OF... to Part 203—Form and Instructions for Completion of HMDA Loan/Application Register Paperwork Reduction Act Notice This report is required by law (12 U.S.C. 2801-2810 and 12 CFR 203). An agency may...

  18. 12 CFR Appendix A to Part 203 - Form and Instructions for Completion of HMDA Loan/Application Register

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... Loan/Application Register A Appendix A to Part 203 Banks and Banking FEDERAL RESERVE SYSTEM BOARD OF... to Part 203—Form and Instructions for Completion of HMDA Loan/Application Register Paperwork Reduction Act Notice This report is required by law (12 U.S.C. 2801-2810 and 12 CFR 203). An agency may...

  19. 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.

  20. 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…

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

    NASA Astrophysics Data System (ADS)

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

    1998-06-01

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

  3. 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.

  4. 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…

  5. 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…

  6. 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 also briefly…

  7. 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…

  8. Artificial intelligence in medicine.

    PubMed Central

    Ramesh, A. N.; Kambhampati, C.; Monson, J. R. T.; Drew, P. J.

    2004-01-01

    INTRODUCTION: Artificial intelligence is a branch of computer science capable of analysing complex medical data. Their potential to exploit meaningful relationship with in a data set can be used in the diagnosis, treatment and predicting outcome in many clinical scenarios. METHODS: Medline and internet searches were carried out using the keywords 'artificial intelligence' and 'neural networks (computer)'. Further references were obtained by cross-referencing from key articles. An overview of different artificial intelligent techniques is presented in this paper along with the review of important clinical applications. RESULTS: The proficiency of artificial intelligent techniques has been explored in almost every field of medicine. Artificial neural network was the most commonly used analytical tool whilst other artificial intelligent techniques such as fuzzy expert systems, evolutionary computation and hybrid intelligent systems have all been used in different clinical settings. DISCUSSION: Artificial intelligence techniques have the potential to be applied in almost every field of medicine. There is need for further clinical trials which are appropriately designed before these emergent techniques find application in the real clinical setting. PMID:15333167

  9. 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.

  10. 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)

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. Application of fuzzy logic in the speed control of AC servo system and an intelligent inverter

    SciTech Connect

    Fengfu Cheng; Shengnian Yeh . Dept. of Electrical Engineering)

    1993-06-01

    This paper presents a novel fuzzy logic controller for use in the fully digital speed control of ac servo systems. A new intelligent inverter is also proposed to reduce the switching loss and the current harmonics in induction motors. A 16-bit single-chip microprocessor is used to reduce the number of circuit components for cost reduction and reliability enhancement. In order to facilitate the instantaneous control of motor torque, indirect field orientation is adopted along with a current regulated pulse-width-modulation voltage-source inverter (CRPWM VSI). Computer simulation is first given to assess the feasibility of the system proposed. Circuit design and software development are then undertaken. Simulation results are verified experimentally.

  19. 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%.

  20. 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.

  1. 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.

  2. 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.

  3. First application of artificial intelligence for corrosion control in the petroleum industry

    SciTech Connect

    Loushin, L.L.

    1988-06-01

    The first artificial intelligence (AI) programmed Expert Adviser for the corrosion control of a refinery process unit has been installed at the Sun Refining and Marketing Co. Yabucoa Refinery. The ''MOR or LES'' crude unit expert adviser is a resident part of the operating computer system and is available on a call basis to the chief operator through his CRT computer console in the control room. Other operations personnel also have access to the Adviser guidelines through their own operating system terminals. The Adviser provides real time analysis of the process conditions and is configured to become an automatic process control system. Details regarding the problem definition, system logic, and informational responses will be presented in this technical paper. An overview of the AI programming development and conversion to the operational computer system will be discussed in general terms.

  4. First application of artificial intelligence for corrosion control in the petroleum industry

    SciTech Connect

    Loushin, L.L.

    1988-01-01

    The first artificial intelligence (AI) programmed Expert Advisor for the corrosion control of a refinery process unit has been installed at the Sun Refining and Marketing Company Yabucoa Refinery. The MOR or LES crude unit expert advisor is a resident part of the operating computer system and is available on a call basis to the Chief Operator through his CRT computer console in the control room. Other Operations personnel also have access to the Advisor guidelines through their own operating system terminals. The Advisor provides real time analysis of the process conditions and is configured to become an automatic process control system. Details regarding the problem definition, system logic, and information responses are presented in this technical paper. An overview of the AI programming development and conversion to the operational computer system is discussed in general terms.

  5. 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.

  6. 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...

  7. 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.

  8. 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…

  9. 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

  10. 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.

  11. 20 CFR 702.242 - Information necessary for a complete settlement application.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... settlement application. (a) The settlement application shall be a self-sufficient document which can be... factors which could impact, either favorably or unfavorably, on future employability. (5) A current.... An estimate of the claimant's need for future medical treatment as well as an estimate of the cost...

  12. A torsional completion of gravity for Dirac matter fields and its applications to neutrino oscillations

    NASA Astrophysics Data System (ADS)

    Fabbri, Luca; Vignolo, Stefano

    2016-01-01

    In this paper, we consider the torsional completion of gravitation for an underlying background filled with Dirac fields, applying it to the problem of neutrino oscillations: we discuss the effects of the induced torsional interactions as corrections to the neutrino oscillations mechanism.

  13. 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.

  14. 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.

  15. 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 higher DMIQ…

  16. 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.

  17. 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.

  18. 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.

  19. A Complete Molecular Diagnostic Procedure for Applications in Surveillance and Subtyping of Avian Influenza Virus

    PubMed Central

    Tseng, Chun-Hsien; Tsai, Hsiang-Jung; Chang, Chung-Ming

    2014-01-01

    Introduction. The following complete molecular diagnostic procedure we developed, based on real-time quantitative PCR and traditional PCR, is effective for avian influenza surveillance, virus subtyping, and viral genome sequencing. Method. This study provides a specific and sensitive step-by-step procedure for efficient avian influenza identification of 16 hemagglutinin and 9 neuraminidase avian influenza subtypes. Result and Conclusion. This diagnostic procedure may prove exceedingly useful for virological and ecological advancements in global avian influenza research. PMID:25057497

  20. 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…

  1. 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…

  2. The language of artificial intelligence

    SciTech Connect

    Berk, A.A.

    1984-01-01

    This is a guide to LISP. It clarifies data structures and recursion via examples and practical explanations, uses BASIC as a reference point throughout (enabling comparisons with LISP), and stresses artificial intelligence applications. Contents: Introduction to Artificial Intelligence. The Fundamentals of LISP. Functions. Conditionals and Loops. Further LISP Processing. Recursion. More Advanced Uses of Functions. LISP Programming and AI. Standard LISP Functions.

  3. Artificial Intelligence.

    ERIC Educational Resources Information Center

    Wash, Darrel Patrick

    1989-01-01

    Making a machine seem intelligent is not easy. As a consequence, demand has been rising for computer professionals skilled in artificial intelligence and is likely to continue to go up. These workers develop expert systems and solve the mysteries of machine vision, natural language processing, and neural networks. (Editor)

  4. 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.

  5. 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…

  6. 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

  7. 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.

  8. 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. PMID:25992579

  9. 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. PMID:26500288

  10. 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.

  11. 7 CFR 1944.410 - Processing preapplications, applications, and completing grant dockets.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... must be submitted by the applicant to the District Director. It will be used to establish communication... agreement period, housing conditions of low-income families in the area and reasons why families need self... § 3015.205 of 7 CFR part 3015. State and local Government will include an assurance that the...

  12. 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.

  13. 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

    ... 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 Office of Self-Governance (OSG) establishes a March 1, 2011, deadline for Indian tribes/consortia to...

  14. AAAIC '86 - Aerospace Applications of Artificial Intelligence; Proceedings of the Second Annual Conference, Dayton, OH, Oct. 14-17, 1986. Volume I

    SciTech Connect

    Not Available

    1986-01-01

    The present conference on aerospace applications of emerging AI technologies considers topics in spacecraft systems, man/machine interfaces, image analysis and recognition, aircrew aids, personnel training, design automation, command/control/communications applications, AI-based manufacturing and planning, and speculations on AI development trends. Attention is given to AI-based satellite and Space Station autonomy, problems met in the integration of AI into crew systems, AI in diagnostics, real-time pilot-in-the-loop AI, principles of parallel programming, design automation software tools, mission-planning problems, biologically motivated AI, architecture-based machine intelligence, and AI in aerospace factory applications.

  15. 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.

  16. Tahoe subsea completion -- A successful application of existing and new technologies

    SciTech Connect

    Clegg, W.K.; Orr, K.

    1995-12-31

    The Tahoe subsea satellite tieback (VK783) demonstrates how existing and new subsea technologies can be combined to achieve a cost effective yet technically significant subsea project. A used Green Canyon 29 subsea Xmas tree was refurbished and modified to implement more recent first-end layaway techniques for both the flowline and umbilical. The diverless completion was made in 1,500 ft. of water and tied back approximately 12 miles to a platform in 275 feet of water (Main Pass 252). The flowline system consisted of dual nominal 4-in. lines comprising both flexible and rigid pipes. The control system was multiplexed electrohydraulic with signal-on power umbilical transmission. Both downhole and Xmas tree temperature and pressure measurements were employed. The techniques used in the Tahoe subsea system can be applied to other projects to help improve cost, schedule, and reliability of subsea tiebacks.

  17. SYLLABARIUM: an online application for deriving complete statistics for Basque and Spanish orthographic syllables.

    PubMed

    Duñabeitia, Jon Andoni; Cholin, Joana; Corral, José; Perea, Manuel; Carreiras, Manuel

    2010-02-01

    The present article introduces SYLLABARIUM, a new Web tool addressing the needs of linguists, psycholinguists, and cognitive scientists who work with Spanish and/or Basque and are interested in retrieving information about several syllable-related parameters. This new online syllabic database allows the user to generate complete lists of Spanish and Basque syllables with information about the syllable frequency. Among other measures, for a given orthographic syllable, SYLLABARIUM provides its number of occurrences (i.e., the type frequency), the summed lexical frequency of the words that contain this syllable (i.e., the token frequency), and the positional distribution of type and token frequencies. The cross-language feature of SYLLABARIUM is of special interest to researchers aiming to explore the influence of the syllable in bilingualism. The Web tool is available at www.bcbl.eu/syllabarium.

  18. Application of computational intelligence tools for the analysis of marine geotechnical properties in the head of Zakynthos canyon, Greece

    NASA Astrophysics Data System (ADS)

    Ferentinou, Maria; Hasiotis, Thomas; Sakellariou, Michael

    2012-03-01

    This paper uses a computational approach to provide insight into the relationships among marine geotechnical properties that characterize the recent sedimentary cover at the head of Zakynthos Canyon in western Greece. Self-organizing maps (SOM) and generic interaction matrix (GIM) theory were used to investigate the tendency of the data to cluster and to examine the sediment property relationships. This analysis has also focused on the assessment of the dominance and interaction intensity between the related parameters following GIM theory definition. The principal results refer to the identification of clusters in the original multivariate data set. SOM-based analysis distinguished five clusters, with similar geotechnical characteristics, which led to the separation of the surficial (˜80 cm) unconsolidated sediments from the deeper normally consolidated sediments and depicted better relations between the geotechnical properties within each cluster. The combination of SOM with GIM theory also demonstrates the dominance of fine-grained sediments (especially silts) and their associated Atterberg limits. The strongest interaction intensity is observed between silt and water content, whereas the undrained shear strength of the surficial deposits appears to be least interactive. The application of computational intelligence methods in the study of marine geotechnical properties allows insight into the relationships between the various geotechnical parameters and provides a promising tool for knowledge extraction in marine geo-environments.

  19. 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).

  20. Traffic flow theory and characteristics with applications for intelligent transportation system technologies. Transportation research record

    SciTech Connect

    1995-12-31

    ;Contents: Another Look at A Priori Relationship Among Traffic Flow Characteristics; Description of Macroscopic Relationships Among Traffic Flow Variables Using Neural Network Models; Microscopic Modeling of Traffic Within Freeway Lanes; Statistical Analysis of Day-to-Day Variations in Real-Time Traffic Flow Data; Statistical Analysis and Validation of Multipopulation Traffic Simulation Experiments; Event-Based Short-Term Traffic Flow Prediction Model; Estimating Intersection Turning Movement Proportions from Less-Than-Complete Sets of Traffic Counts; Arterial Incident Detection Integrating Data from Multiple Sources; and Driver Deceleration Behavior on a Freeway in New Zealand.

  1. 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. PMID:26944864

  2. 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…

  3. 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.

  4. Burgers equation with no-flux boundary conditions and its application for complete fluid separation

    NASA Astrophysics Data System (ADS)

    Watanabe, Shinya; Matsumoto, Sohei; Higurashi, Tomohiro; Ono, Naoki

    2016-09-01

    Burgers equation in a one-dimensional bounded domain with no-flux boundary conditions at both ends is proven to be exactly solvable. Cole-Hopf transformation converts not only the governing equation to the heat equation with an extra damping but also the nonlinear mixed boundary conditions to Dirichlet boundary conditions. The average of the solution v bar is conserved. Consequently, from an arbitrary initial condition, solutions converge to the equilibrium solution which is unique for the given v bar. The problem arises naturally as a continuum limit of a network of certain micro-devices. Each micro-device imperfectly separates a target fluid component from a mixture of more than one component, and its input-output concentration relationships are modeled by a pair of quadratic maps. The solvability of the initial boundary value problem is used to demonstrate that such a network acts as an ideal macro-separator, separating out the target component almost completely. Another network is also proposed which leads to a modified Burgers equation with a nonlinear diffusion coefficient.

  5. 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…

  6. Distributed Intelligence.

    ERIC Educational Resources Information Center

    McLagan, Patricia A.

    2003-01-01

    Distributed intelligence occurs when people in an organization take responsibility for creating innovations, solving problems, and making decisions. Organizations that have it excel in their markets and the global environment. (Author/JOW)

  7. Complete inhibition of food-stimulated gastric acid secretion by combined application of pirenzepine and ranitidine.

    PubMed Central

    Londong, W; Londong, V; Ruthe, C; Weizert, P

    1981-01-01

    In a double-blind, placebo controlled and randomised secretory study the effectiveness of pirenzepine, ranitidine, and their combination was compared intraindividually in eight healthy subjects receiving intravenous bolus injections. Pirenzepine (0.15 mg/kg) plus ranitidine (0.6 mg/kg) suppressed peptone-stimulated gastric acid secretion from 69 +/- 11 to 2 +/- 0.4 mmol H+/3 h; the mean percentage inhibition was 97%. Postprandial gastrin was unaffected. There were only minor side-effects in a few experiments (reduction of salivation, brief blurring of vision), but no prolactin stimulation after ranitidine or ranitidine plus pirenzepine. The combined application of ranitidine and pirenzepine inhibited meal-stimulated acid secretion more effectively and produced fewer side-effects than the combination of cimetidine plus pirenzepine studied previously. PMID:6114900

  8. 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…

  9. 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.

  10. 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.

  11. 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.

  12. A 1.0 V 78 mircoW reconfigurable ASIC embedded in an intelligent electrode for continuous remote ECG applications.

    PubMed

    Yang, Geng; Chen, Jian; Jonsson, Fredrik; Tenhunen, Hannu; Zheng, Li-Rong

    2009-01-01

    In this paper, a reconfigurable, low-power Application Specific Integrated Circuit (ASIC) that extracts and transmits electrocardiograph (ECG) signals is presented. An Intelligent Electrode is introduced which consists of the proposed ASIC and a micro spike array, permitting onsite ECG signal acquisition, processing and transmission. Fabricated in a standard 0.18 microm CMOS process, the ASIC consumes 78 microW with 1.0 V core voltage at 6 MHz operating frequency and only occupies 2.25 mm(2). The tiny silicon size makes it possible and suitable to embed the proposed ASIC into an Intelligent Electrode, and the low power consumption makes it feasible for long term continuous ECG monitoring. PMID:19965175

  13. 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.

  14. Northeast Artificial Intelligence Consortium (NAIC). Volume 9. A planner system for the application of indications and warning. Final report, Sep 84-Dec 89

    SciTech Connect

    Nirenburg, S.

    1990-12-01

    The Northeast Artificial Intelligence Consortium (NAIC) was created by the Air Force Systems Command, Rome Air Development Center, and the Office of Scientific Research. Its purpose was to conduct pertinent research in artificial intelligence and to perform activities ancillary to this research. This report describes progress during the existence of the NAIC on the technical research tasks undertaken at the member universities. The topics covered in general are: versatile expert system for equipment maintenance, distributed AI for communications system control, automatic photointerpretation, time-oriented problem solving, speech understanding systems, knowledge based maintenance, hardware architectures for very large systems, knowledge based reasoning and planning and a knowledge acquisition, assistance, and explanation system. The specific topic for this volume is the design of a planning system for an Indications and Warning (IW) application.

  15. 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.

  16. Multiple Intelligences: A Collection. K-12.

    ERIC Educational Resources Information Center

    Fogarty, Robin, Ed.; Bellanca, James, Ed.

    Divided into five concise sections, this book introduces and examines the personage of Howard Gardner and his theory of multiple intelligences. The articles explore practical applications and implications of the theory and provide supporting evidence applicable to all children. Special applications of the multiple intelligences theory, including…

  17. Development of an electromechanical admittance approach for application in the vibration control of intelligent structures

    NASA Astrophysics Data System (ADS)

    Providakis, C. P.; Kontoni, D.-P. N.; Voutetaki, M. E.

    2007-04-01

    The present work considers the possibility of vibration control of a distributed dynamical system, such as flexible plates using local piezoelectric (PZT) actuators/sensors and the electromechanical admittance concept. When PZT actuators bonded on structures are used in active vibration and acoustic control, the desired deformation field in the structure is obtained through the application of localized line forces and moments generated by applying an appropriate electrical field on the outer surfaces of the PZT patches. The electromechanical admittance generated at the electrical terminals of a PZT-driven smart structure is then extracted to synthesize a desired damping performance. This is achieved by a FEM-based minimization of the difference between the computed and the desired electromechanical admittance signature for investigated frequency ranges.

  18. 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.

  19. Perspective on intelligent avionics

    SciTech Connect

    Jones, H.L.

    1987-01-01

    Technical issues which could potentially limit the capability and acceptibility of expert systems decision-making for avionics applications are addressed. These issues are: real-time AI, mission-critical software, conventional algorithms, pilot interface, knowledge acquisition, and distributed expert systems. Examples from on-going expert system development programs are presented to illustrate likely architectures and applications of future intelligent avionic systems. 13 references.

  20. 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…

  1. 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

  2. Application of Hierarchical Dissociated Neural Network in Closed-Loop Hybrid System Integrating Biological and Mechanical Intelligence

    PubMed Central

    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. PMID:25992579

  3. 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.

  4. Sensor performance and weather effects modeling for intelligent transportation systems (ITS) applications

    NASA Astrophysics Data System (ADS)

    Everson, Jeffrey H.; Kopala, Edward W.; Lazofson, Laurence E.; Choe, Howard C.; Pomerleau, Dean A.

    1995-01-01

    Optical sensors are used for several ITS applications, including lateral control of vehicles, traffic sign recognition, car following, autonomous vehicle navigation, and obstacle detection. This paper treats the performance assessment of a sensor/image processor used as part of an on-board countermeasure system to prevent single vehicle roadway departure crashes. Sufficient image contrast between objects of interest and backgrounds is an essential factor influencing overall system performance. Contrast is determined by material properties affecting reflected/radiated intensities, as well as weather and visibility conditions. This paper discusses the modeling of these parameters and characterizes the contrast performance effects due to reduced visibility. The analysis process first involves generation of inherent road/off- road contrasts, followed by weather effects as a contrast modification. The sensor is modeled as a charge coupled device (CCD), with variable parameters. The results of the sensor/weather modeling are used to predict the performance on an in-vehicle warning system under various levels of adverse weather. Software employed in this effort was previously developed for the U.S. Air Force Wright Laboratory to determine target/background detection and recognition ranges for different sensor systems operating under various mission scenarios.

  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. Intelligence: Theories and Testing.

    ERIC Educational Resources Information Center

    Papanastasiou, Elena C.

    This paper reviews what is known about intelligence and the use of intelligence tests. Environmental and hereditary factors that affect performance on intelligence tests are reviewed, along with various theories that have been proposed about the basis of intelligence. Intelligence tests do not test intelligence per se but make inferences about a…

  7. 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…

  8. 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.

  9. 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.

  10. Complete genome sequence of the fish pathogen Aeromonas veronii TH0426 with potential application in biosynthesis of pullulanase and chitinase.

    PubMed

    Kang, Yuanhuan; Pan, Xiaoyi; Xu, Yang; Siddiqui, Shahrood A; Wang, Chunfeng; Shan, Xiaofeng; Qian, Aidong

    2016-06-10

    Aeromonas veronii TH0426 is a pathogen of the farmed yellow catfish Pelteobagrus fulvidraco but shows high-level expression of pullulanase and chitinase. Here, we present its genome sequence, which is the first reported complete genome of fish pathogen in A. veronii to date. Strain TH0426 harbors a single circular 4,923,009bp chromosome with a GC content of 58.25%. There are 4525 genes identified on its genome, including 4244 protein-coding genes, 32 rRNA genes, 120 tRNA genes, a noncoding RNA and 128 pseudo genes. We believe that the genomic information of A. veronii TH0426 would facilitate to reveal its pathogenic mechanism associated with yellow catfish, develop vaccine to decrease economic losses for fish farming, meanwhile explore the potential application in producing pullulanase and chitinase. PMID:27080448

  11. The Genome Sequencer FLX System--longer reads, more applications, straight forward bioinformatics and more complete data sets.

    PubMed

    Droege, Marcus; Hill, Brendon

    2008-08-31

    The Genome Sequencer FLX System (GS FLX), powered by 454 Sequencing, is a next-generation DNA sequencing technology featuring a unique mix of long reads, exceptional accuracy, and ultra-high throughput. It has been proven to be the most versatile of all currently available next-generation sequencing technologies, supporting many high-profile studies in over seven applications categories. GS FLX users have pursued innovative research in de novo sequencing, re-sequencing of whole genomes and target DNA regions, metagenomics, and RNA analysis. 454 Sequencing is a powerful tool for human genetics research, having recently re-sequenced the genome of an individual human, currently re-sequencing the complete human exome and targeted genomic regions using the NimbleGen sequence capture process, and detected low-frequency somatic mutations linked to cancer. PMID:18616967

  12. 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

  13. Civic Intelligence.

    ERIC Educational Resources Information Center

    Mathews, David

    1985-01-01

    Social studies must educate students to be socially responsible, civically competent persons. In addition to encouraging civic literacy, civic values, and civic skill, teachers need to help students develop civic-mindedness. The objective of the NCSS' National Issues Forum in the Classroom Project is to develop students' civic intelligence. (RM)

  14. 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…

  15. 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.

  16. 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…

  17. The Tromsø Social Intelligence Scale, a self-report measure of social intelligence.

    PubMed

    Silvera, D H; Martinussen, M; Dahl, T I

    2001-09-01

    Social intelligence is a construct that not only appeals to laymen as a relevant individual difference but also has shown promising practical applications. Nevertheless, the use of social intelligence in research and applied settings has been limited by definitional problems, difficulties in empirically differentiating social intelligence from related constructs, and the complexity of most existing measures of social intelligence. The goal of the present research was to address some of these obstacles by designing a multi-faceted social intelligence measure that is short and easy to administer. Three studies were conducted to develop and validate the Tromsø Social Intelligence Scale (TSIS). Study 1 examined professional psychologists' interpretations of social intelligence to derive a consensually agreed-upon definition of the construct. In Study 2, a large pool of social intelligence items were tested, and a 3-factor, 21-item scale was identified. In Study 3, the stability of this measure was confirmed.

  18. Artificial intelligence at CSM

    SciTech Connect

    Braun, G.; Jones, J.E.

    1985-08-01

    The recent developments in artificial intelligence have been cited as being the most significant technological advancement in computer science in the twentieth century. Machines that can mimic human reasoning will have a great impact upon our civilization. The way we think, learn, and work will be changed in a profound way. It is for these reasons that the Colorado School of Mines, in order to maintain its reputation of quality engineering education, has entered the AI field. CSM presently is evaluating artificial intelligence for applications in the mineral industries; decision support systems, process control, machine vision, data acquisition and analysis, etc. Future plans are to move AI out of the research laboratories and into the curriculum. An understanding of the concepts and unlimited power of the application of AI will enhance the engineering methods of Mines graduates. 6 references.

  19. Application of artificial intelligence in the marine industry: problem definition and analysis. Final report. Volume 2. Technical report. Report for October 1985-February 1987

    SciTech Connect

    Dillingham, J.T.; Perakis, A.N.

    1987-02-25

    The problem of how to best apply state-of-the-art computer technology, especially using the tools of Artificial Intelligence and Expert Systems (AI/ES) to assist in the solution of several important marine operations problems is addressed. An introduction to AI and ES technology is first presented, including an overview and history, a review of recommended readings, a discussion of when a problem is an appropriate candidate for AI/ES application, available strategies, architectures and ES development tools, and estimates of their associated costs. A cost/benefit analysis of several potential applications in marine operations is conducted. Two of these applications, namely that of optimal container stowage and ship monitoring are examined in detail. Descriptions and formulations of these problems are presented, and estimates of expected monetary benefits are given. Some existing hardware and software tools which are presently in use, or which are now available, are described.

  20. Philosophical, Psychological, and Ethological Approaches to the Search for Intelligence

    NASA Astrophysics Data System (ADS)

    Waller, S.

    2010-04-01

    How we define intelligence determines how we will look for it, as well as what explanatory approaches we will accept. This paper discusses the gaps between disciplines that study intelligence, and seeks to develop a more complete and expansive understanding of intelligence.

  1. Intelligent adaptive structures

    NASA Technical Reports Server (NTRS)

    Wada, Ben K.

    1990-01-01

    'Intelligent Adaptive Structures' (IAS) refers to structural systems whose geometric and intrinsic structural characteristics can be automatically changed to meet mission requirements with changing operational scenarios. An IAS is composed of actuators, sensors, and a control logic; these are integrated in a distributed fashion within the elements of the structure. The IAS concepts thus far developed for space antennas and other precision structures should be applicable to civil, marine, automotive, and aeronautical structural systems.

  2. Ontology-Based Information Extraction for Business Intelligence

    NASA Astrophysics Data System (ADS)

    Saggion, Horacio; Funk, Adam; Maynard, Diana; Bontcheva, Kalina

    Business Intelligence (BI) requires the acquisition and aggregation of key pieces of knowledge from multiple sources in order to provide valuable information to customers or feed statistical BI models and tools. The massive amount of information available to business analysts makes information extraction and other natural language processing tools key enablers for the acquisition and use of that semantic information. We describe the application of ontology-based extraction and merging in the context of a practical e-business application for the EU MUSING Project where the goal is to gather international company intelligence and country/region information. The results of our experiments so far are very promising and we are now in the process of building a complete end-to-end solution.

  3. 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.

  4. 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 undercut…

  5. 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.

  6. 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.

  7. 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. PMID:26957450

  8. 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.

  9. 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.

  10. 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.

  11. 15 CFR Supplement No. 1 to Part 752 - Instructions for Completing Form BIS-748P, Multipurpose Application for Requests for Special...

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ...-748P, Multipurpose Application for Requests for Special Comprehensive Licenses No. Supplement No. 1 to... COMPREHENSIVE LICENSE Pt. 752, Supp. 1 Supplement No. 1 to Part 752—Instructions for Completing Form BIS-748P... instructions in Supplement No. 1 to part 748 of the EAR. Block 5: Type of Application. Enter an “x” in...

  12. 15 CFR Supplement No. 1 to Part 752 - Instructions for Completing Form BIS-748P, Multipurpose Application for Requests for Special...

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ...-748P, Multipurpose Application for Requests for Special Comprehensive Licenses No. Supplement No. 1 to... COMPREHENSIVE LICENSE Pt. 752, Supp. 1 Supplement No. 1 to Part 752—Instructions for Completing Form BIS-748P... instructions in Supplement No. 1 to part 748 of the EAR. Block 5: Type of Application. Enter an “x” in...

  13. 15 CFR Supplement No. 1 to Part 752 - Instructions for Completing Form BIS-748P, Multipurpose Application for Requests for Special...

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ...-748P, Multipurpose Application for Requests for Special Comprehensive Licenses No. Supplement No. 1 to... COMPREHENSIVE LICENSE Pt. 752, Supp. 1 Supplement No. 1 to Part 752—Instructions for Completing Form BIS-748P... instructions in supplement No. 1 to part 748 of the EAR. Block 5: Type of Application. Enter an “x” in...

  14. 15 CFR Supplement No. 1 to Part 752 - Instructions for Completing Form BIS-748P, Multipurpose Application for Requests for Special...

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ...-748P, Multipurpose Application for Requests for Special Comprehensive Licenses No. Supplement No. 1 to... COMPREHENSIVE LICENSE Pt. 752, Supp. 1 Supplement No. 1 to Part 752—Instructions for Completing Form BIS-748P... instructions in Supplement No. 1 to part 748 of the EAR. Block 5: Type of Application. Enter an “x” in...

  15. 15 CFR Supplement No. 1 to Part 752 - Instructions for Completing Form BIS-748P, Multipurpose Application for Requests for Special...

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ...-748P, Multipurpose Application for Requests for Special Comprehensive Licenses No. Supplement No. 1 to... COMPREHENSIVE LICENSE Pt. 752, Supp. 1 Supplement No. 1 to Part 752—Instructions for Completing Form BIS-748P... instructions in Supplement No. 1 to part 748 of the EAR. Block 5: Type of Application. Enter an “x” in...

  16. 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,…

  17. Trends in Artificial Intelligence.

    ERIC Educational Resources Information Center

    Hayes, Patrick

    1978-01-01

    Discusses the foundations of artificial intelligence as a science and the types of answers that may be given to the question, "What is intelligence?" The paradigms of artificial intelligence and general systems theory are compared. (Author/VT)

  18. 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)

  19. 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.

  20. 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

  1. 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

  2. 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.

  3. 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.

  4. Integrated mechanism design with artificial intelligence assistance

    SciTech Connect

    Bohatier, C.; Silberberg, Y.; Guillot, J.

    1996-11-01

    The proposed design methodology is developed as an integrated process in the production process. A setup of design workshop is suggested. An original functional approach is proposed. Its implementation using artificial intelligence is performed by an expert system generator. This intelligent assistance prototype is open to other aided computer engineering fields. Finally, an application to mechanism design is presented.

  5. 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…

  6. 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.

  7. 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…

  8. 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.

  9. 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.

  10. 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

  11. 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…

  12. Parallel computation and computers for artificial intelligence

    SciTech Connect

    Kowalik, J.S. )

    1988-01-01

    This book discusses Parallel Processing in Artificial Intelligence; Parallel Computing using Multilisp; Execution of Common Lisp in a Parallel Environment; Qlisp; Restricted AND-Parallel Execution of Logic Programs; PARLOG: Parallel Programming in Logic; and Data-driven Processing of Semantic Nets. Attention is also given to: Application of the Butterfly Parallel Processor in Artificial Intelligence; On the Range of Applicability of an Artificial Intelligence Machine; Low-level Vision on Warp and the Apply Programming Mode; AHR: A Parallel Computer for Pure Lisp; FAIM-1: An Architecture for Symbolic Multi-processing; and Overview of Al Application Oriented Parallel Processing Research in Japan.

  13. 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,…

  14. 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.

  15. 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.

  16. Application of artificial intelligence in the marine industry: problem definition and analysis. Final report. Volume 1. Executive summary. Report for October 1985-February 1987

    SciTech Connect

    Dillingham, J.T.; Perakis, A.N.

    1987-02-25

    The problem of how to best apply state-of-the-art computer technology, especially using the tools of Artificial Intelligence and Expert Systems (AI/ES) to assist in the solution of several important marine operations problems is addressed. An introduction to AI and ES technology is first presented, including an overview and history, a review of recommended readings, a discussion of when a problem is an appropriate candidate for AI/ES application, available strategies, architectures and ES development tools, and estimates of their associated costs. A cost/benefit analysis of several potential applications in marine operations is conducted. Two of these applications, namely that of optimal container stowage and ship monitoring are examined in detail. Descriptions and formulations of these problems are presented, and estimates of expected monetary benefits are given. Some existing hardware and software tools which are presently in use, or which are now available, are described. Use of these tools for the above applications may improve the overall efficiency and the economic benefits of fleet operations.

  17. Potential applications of artificial intelligence in computer-based management systems for mixed waste incinerator facility operation

    SciTech Connect

    Rivera, A.L.; Singh, S.P.N.; Ferrada, J.J.

    1991-01-01

    The Department of Energy/Oak Ridge Field Office (DOE/OR) operates a mixed waste incinerator facility at the Oak Ridge K-25 Site, designed for the thermal treatment of incinerable liquid, sludge, and solid waste regulated under the Toxic Substances Control Act (TSCA) and the Resource Conversion and Recovery Act (RCRA). Operation of the TSCA Incinerator is highly constrained as a result of the regulatory, institutional, technical, and resource availability requirements. This presents an opportunity for applying computer technology as a technical resource for mixed waste incinerator operation to facilitate promoting and sustaining a continuous performance improvement process while demonstrating compliance. This paper describes mixed waste incinerator facility performance-oriented tasks that could be assisted by Artificial Intelligence (AI) and the requirements for AI tools that would implement these algorithms in a computer-based system. 4 figs., 1 tab.

  18. Verification and completion of a soil data base for process based erosion model applications in Mato Grosso/Brazil

    NASA Astrophysics Data System (ADS)

    Schindewolf, Marcus; Schultze, Nico; Schönke, Daniela; Amorim, Ricardo S. S.; Schmidt, Jürgen

    2014-05-01

    The study area of central Mato Grosso is subjected to severe soil erosion. Continuous erosion leads to massive losses of top soil and related organic carbon. Consequently agricultural soil soils suffer a drop in soil fertility which only can be balanced by mineral fertilization. In order to control soil degradation and organic carbon losses of Mato Grosso cropland soils a process based soil loss and deposition model is used. Applying the model it will be possible to: - identify the main areas affected by soil erosion or deposition in different scales under present and future climate and socio-economic conditions - estimate the related nutrient and organic carbon losses/yields - figure out site-related causes of soil mobilization/deposition - locate sediment and sediment related nutrient and organic matter pass over points into surface water bodies - estimate the impacts of climate and land use changes on the losses of top soil, sediment bound nutrients and organic carbon. Model input parameters include digital elevation data, precipitation characteristics and standard soil properties as particle size distribution, total organic carbon (TOC) and bulk density. The effects of different types of land use and agricultural management practices are accounted for by varying site-specific parameters predominantly related to soil surface properties such as erosional resistance, hydraulic roughness and percentage ground cover. In this context the existing EROSION 3D soil parameter data base deducted from large scale rainfall simulations in Germany is verified for application in the study area, using small scale disc type rainfall simulator with an additional runoff reflux approach. Thus it's possible to enlarge virtual plot length up to at least 10 m. Experimental plots are located in Cuiabá region of central Mato Grosso in order to cover the most relevant land use variants and tillage practices in the region. Results show that derived model parameters are highly influenced

  19. 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.

  20. Pathogen intelligence.

    PubMed

    Steinert, Michael

    2014-01-01

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

  1. Pathogen intelligence

    PubMed Central

    Steinert, Michael

    2014-01-01

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

  2. 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.

  3. 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…

  4. 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.

  5. 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…

  6. Multiple Intelligence for Every Classroom.

    ERIC Educational Resources Information Center

    Stanford, Pokey

    2003-01-01

    An overview is presented of multiple intelligence (MI) theory along with practical applications of the model. Three basic aspects of the theory (teaching strategies, curricular adaptations, and student assessment) are described relative to the infusion of MI theory in general education classrooms to ensure appropriate inclusion for students with…

  7. 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.

  8. 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 of and how does the project receive funding? 661.25 Section 661.25 Highways FEDERAL HIGHWAY ADMINISTRATION, DEPARTMENT OF TRANSPORTATION ENGINEERING AND TRAFFIC OPERATIONS INDIAN RESERVATION ROAD BRIDGE PROGRAM § 661.25 What does a...

  9. 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…

  10. Radiation Tolerant Intelligent Memory Stack (RTIMS)

    NASA Technical Reports Server (NTRS)

    Ng, Tak-kwong; Herath, Jeffrey A.

    2006-01-01

    The Radiation Tolerant Intelligent Memory Stack (RTIMS), suitable for both geostationary and low earth orbit missions, has been developed. The memory module is fully functional and undergoing environmental and radiation characterization. A self-contained flight-like module is expected to be completed in 2006. RTIMS provides reconfigurable circuitry and 2 gigabits of error corrected or 1 gigabit of triple redundant digital memory in a small package. RTIMS utilizes circuit stacking of heterogeneous components and radiation shielding technologies. A reprogrammable field programmable gate array (FPGA), six synchronous dynamic random access memories, linear regulator, and the radiation mitigation circuitries are stacked into a module of 42.7mm x 42.7mm x 13.00mm. Triple module redundancy, current limiting, configuration scrubbing, and single event function interrupt detection are employed to mitigate radiation effects. The mitigation techniques significantly simplify system design. RTIMS is well suited for deployment in real-time data processing, reconfigurable computing, and memory intensive applications.

  11. Progress towards autonomous, intelligent systems

    NASA Technical Reports Server (NTRS)

    Lum, Henry; Heer, Ewald

    1987-01-01

    An aggressive program has been initiated to develop, integrate, and implement autonomous systems technologies starting with today's expert systems and evolving to autonomous, intelligent systems by the end of the 1990s. This program includes core technology developments and demonstration projects for technology evaluation and validation. This paper discusses key operational frameworks in the content of systems autonomy applications and then identifies major technological challenges, primarily in artificial intelligence areas. Program content and progress made towards critical technologies and demonstrations that have been initiated to achieve the required future capabilities in the year 2000 era are discussed.

  12. Intelligent, autonomous systems in space

    NASA Technical Reports Server (NTRS)

    Lum, H.; Heer, E.

    1988-01-01

    The Space Station is expected to be equipped with intelligent, autonomous capabilities; to achieve and incorporate these capabilities, the required technologies need to be identitifed, developed and validated within realistic application scenarios. The critical technologies for the development of intelligent, autonomous systems are discussed in the context of a generalized functional architecture. The present state of this technology implies that it be introduced and applied in an evolutionary process which must start during the Space Station design phase. An approach is proposed to accomplish design information acquisition and management for knowledge-base development.

  13. Application of artificial intelligence to reservoir characterization: An interdisciplinary approach, progress report, January 1, 1997--March 31, 1997

    SciTech Connect

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

    1993-10-01

    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. In this sense, the proposed research project is multidisciplinary. It involves significant amounts 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. The final task will be

  14. 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.

  15. 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.

  16. 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.

  17. 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

    ... required by law (12 U.S.C. 2801-2810 and 12 CFR 1003). An agency may not conduct or sponsor, and an... Management and Budget (OMB) Control Number. See 12 CFR 1003.1(a) for the valid OMB Control Numbers applicable..., DC 20503. Be sure to reference the applicable agency and the OMB Control Number, as found in 12...

  18. 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

    ... required by law (12 U.S.C. 2801-2810 and 12 CFR 1003). An agency may not conduct or sponsor, and an... Management and Budget (OMB) Control Number. See 12 CFR 1003.1(a) for the valid OMB Control Numbers applicable..., DC 20503. Be sure to reference the applicable agency and the OMB Control Number, as found in 12...

  19. 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

    ... required by law (12 U.S.C. 2801-2810 and 12 CFR 1003). An agency may not conduct or sponsor, and an... Management and Budget (OMB) Control Number. See 12 CFR 1003.1(a) for the valid OMB Control Numbers applicable..., DC 20503. Be sure to reference the applicable agency and the OMB Control Number, as found in 12...

  20. Application of a GRNN oracle to the intelligent combination of several breast cancer benign/malignant predictive paradigms

    NASA Astrophysics Data System (ADS)

    Land, Walker H., Jr.; Masters, Timothy D.; Lo, Joseph Y.

    2000-06-01

    The General Regression Neural Network (GRNN) is well known to be an extremely effective prediction model in a wide variety of problems. It has been recently established that in many prediction problems, the results obtained by intelligently combining the outputs of several different prediction models are generally superior to the results obtained by using any one of the models. An overseer model that combines predictions from other independently trained prediction models is often called an oracle. This paper describes how the GRNN is modified to serve as a powerful oracle for combining decisions from four different breast cancer benign/malignant prediction models using mammogram data. Specifically, the GRNN oracle combines decisions from an evolutionary programming derived neural network, a probabilistic neural network, a fully- interconnected three-layer, feed-forward, error backpropagation network, and a linear discriminant analysis model. In all experiments conducted, the oracle consistently provided superior benign/malignant classification discrimination as measured by the receiver operator characteristic curve Az index values.

  1. Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. [Quarterly technical progress report], October 1--December 31, 1995

    SciTech Connect

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

    1995-12-31

    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. 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.

  2. 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.

  3. 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.

  4. 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.

  5. Clinical excellence: evidence on the assessment of senior doctors' applications to the UK Advisory Committee on Clinical Excellence Awards. Analysis of complete national data set

    PubMed Central

    Campbell, John L; Abel, Gary

    2016-01-01

    Objectives To inform the rational deployment of assessor resource in the evaluation of applications to the UK Advisory Committee on Clinical Excellence Awards (ACCEA). Setting ACCEA are responsible for a scheme to financially reward senior doctors in England and Wales who are assessed to be working over and above the standard expected of their role. Participants Anonymised applications of consultants and senior academic GPs for awards were considered by members of 14 regional subcommittees and 2 national assessing committees during the 2014–2015 round of applications. Design It involved secondary analysis of complete anonymised national data set. Primary and secondary outcome measures We analysed scores for each of 1916 applications for a clinical excellence award across 4 levels of award. Scores were provided by members of 16 subcommittees. We assessed the reliability of assessments and described the variance in the assessment of scores. Results Members of regional subcommittees assessed 1529 new applications and 387 renewal applications. Average scores increased with the level of application being made. On average, applications were assessed by 9.5 assessors. The highest contributions to the variance in individual assessors' assessments of applications were attributable to assessors or to residual variance. The applicant accounted for around a quarter of the variance in scores for new bronze applications, with this proportion decreasing for higher award levels. Reliability in excess of 0.7 can be attained where 4 assessors score bronze applications, with twice as many assessors being required for higher levels of application. Conclusions Assessment processes pertaining in the competitive allocation of public funds need to be credible and efficient. The present arrangements for assessing and scoring applications are defensible, depending on the level of reliability judged to be required in the assessment process. Some relatively minor reconfiguration in

  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. 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…

  8. Laser-rock-fluid interaction: application of free-electron laser (FEL) in petroleum well drilling and completions

    NASA Astrophysics Data System (ADS)

    O'Brien, Darien G.; Graves, Ramona M.; O'Brien, Erin A.

    1999-07-01

    The results of the first year of a Gas Research Institute funded research program to study laser-rock-fluid interaction will be presented. The overall purpose of this research is to determine the feasibility, costs, benefits, and the environmental impact of using laser technology to drill and complete oil and gas wells. When drilling and completing petroleum wells, many rock types (sandstone, limestone, dolomite, granite, shale, salt, concrete) and fluids (fresh water, salt water, oil, hydrocarbon gas, drilling fluids) must be penetrated by the laser. The Free-Electron Laser (FEL) technology is attractive because of the ability to tune the laser to different wavelengths. Laser energy absorbed by rocks is related to the wavelength of the laser source. The mechanisms of rock destruction (spalling, melting and vaporization) are therefore a function of the wavelength. The ability to transmit laser energy over long distances (up to 5000 m or 15,000 ft) is also a function of wavelength. Results of tests conducted at the U.S. Air Force and the U.S. Army's high power laser facilities are presented. The challenges ahead to advance a fundamental change in the methods currently used to drill and complete petroleum wells are discussed.

  9. Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. Quarterly report, October 1--December 31, 1994

    SciTech Connect

    1995-05-01

    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 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. In this sense, the proposed research project is truly multi-disciplinary. 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. 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. 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.

  10. 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.

  11. 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…

  12. 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.

  13. 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.

  14. 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

  15. [Intelligence and irritable bowel syndrome].

    PubMed

    Díaz-Rubio García, Manuel

    2006-01-01

    The Syndrome of Irritable Intestine (SII) is a chronic functional dysfunction that it is characterized by abdominal pain and changes of intestinal rhythm without demonstrable organic alteration. It is avery prevelent dysfunction in the developed countries, there being involved in its physiopathology, among other, the psychosocial factors (illness behavior, social situation, stress, vital events, neuroticism, anxiety and somatization). However no study has been carried out on the Rational Intelligence and Experiential Intelligence or Constructive Thought in patient with SII in spite of knowing that the cognitive processes participate in its genesis. On the hypothesis that the patients with SII would have an experiencial intelligence smaller that the fellows controls, 100 cases of SII and 100 controls have been studied, being excluded of both patients groups with intellectual deficit or psychiatric illness in the last year. The cases of SII were distributed in two groups, one of 50 cases that habitually consulted with the doctor and other 50 that didn't make it. All the participants completed specific tests to evaluate all the psychological factors and Rational Intelligence and the Constructive Thought. The results show an alteration of the psychological factors in the SII, expressed by the antecedents of vital events, m even significant of anxiety feature and anxiety and a neuroticism statistically significant. As for Rational Intelligence and Experiential Intelligence in the SII, it was observed that to Rational Intelligence is same in the patients with SII that in the controls. Only in the group of SII that habitually consulted with the doctor a slightly significant decrease of the intellectual coefficient it was observed. As for the Experiential Intelligence a significant decrease of the Constructive Thought was observed in the patients with SII in comparison with the group control. Of their components a decrease of the emotionality exists and of the

  16. 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.

  17. Openness, Intelligence, and Self-Report Intelligence

    ERIC Educational Resources Information Center

    Gignac, Gilles E.; Stough, Con; Loukomitis, Sue

    2004-01-01

    Past studies that have examined the relationship between Openness and crystallized ability have failed to account statistically for the fact that subtests commonly regarded as measures of crystallized intelligence (e.g., Vocabulary) are contaminated substantially by general intelligence. A method using residuals derived from a regression is…

  18. 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…

  19. Intelligence and Adult Learning.

    ERIC Educational Resources Information Center

    Fellenz, Robert A., Ed.; Conti, Gary J., Ed.

    "Understanding Adult Intelligence" (Robert Sternberg) focuses on the nature of intelligence. It explains Sternberg's triarchic theory, in which he posits three main aspects of intelligence: its relation to the internal or mental world of the learner, its relation to experience, and its relation to the surrounding world. "Strategies and Learning"…

  20. Diversity in Our Intelligence.

    ERIC Educational Resources Information Center

    Martinez, Jesus I.

    2002-01-01

    Babies and young children learn through extensive experimenting and by being encouraged, unknowingly, by parents to use their multiple intelligences. Later, children are forced to conform to the narrow intelligence valued by the formal education system; those who can not adapt drop out. By using multiple intelligences, we access a greater portion…

  1. Calendrical Calculation and Intelligence.

    ERIC Educational Resources Information Center

    O'Connor, Neil; Cowan, Richard; Samella, Katerina

    2000-01-01

    Studied the ability to name the days of the week for dates in the past and future (calendrical calculation) of 10 calendrical savants with Wechlser Adult Intelligence Scale scores from 50 to 97. Results suggest that although low intelligence does not prevent the development of this skill, the talent depends on general intelligence. (SLD)

  2. 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.

  3. 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.

  4. 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.

  5. Application of intelligent optimal kV scanning technology (CARE kV) in dual-source computed tomography (DSCT) coronary angiography.

    PubMed

    Zhang, Jun; Kang, Shaolei; Han, Dan; Xie, Xiaojie; Deng, Yaming

    2015-01-01

    This study aims to evaluate the applications and values of dual-source computed tomography (DSCT) intelligent optimal kV scanning technology (CARE kV) in coronary CT angiography (CCTA). 150 patients with normal body mass index were performed DSCT coronary angiography, then randomly divided into the "Semi", 120,100 and 80 kV Group, and the 2 "on" groups, with 30 patients in each group. The first 5 groups used the reference voltage as 120 kV, and the reference current as 400 mAs, while the other group used the reference voltage as 100 kV, and the reference current as 400 mAs. The image quality, average CT value, image noise, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) and radiation dose were comparatively analyzed among the 5 groups. The image quality scores of the five groups showed no significant difference (P > 0.05); the average CT values and image noises had significance (P < 0.05), while SNR and CNR showed no significant difference (P > 0.05). The 80 kV group showed the biggest noise, with the CT value as 700 HU, while the radiation dose was the lowest, followed by the on group. As for the patients with normal body mass index (BMI), CARE kV-"on" could obtain high-quality images and lower radiation dose for CCTA, while the operation was simple and convenient.

  6. Completely N1-Selective Palladium-Catalyzed Arylation of Unsymmetric Imidazoles: Application to the Synthesis of Nilotinib

    PubMed Central

    Ueda, Satoshi; Su, Mingjuan; Buchwald, Stephen L.

    2011-01-01

    The completely N1-selective Pd-catalyzed arylation of unsymmetric imidazoles with aryl halides and triflates is described. This study showed that imidazoles have a strong inhibitory effect on the in situ formation of catalytically-active Pd(0)-ligand complex. The efficacy of the N-arylation reaction was improved drastically by the use of pre-activated solution of Pd2(dba)3 and L1. From these findings it is clear that while imidazoles can prevent binding of L1 to the Pd, once the ligand is bound to the metal, these heterocycles do not displace it. The utility of the present catalytic system was demonstrated by the regioselective synthesis of clinically important tyrosine kinase inhibitor nilotinib. PMID:22126442

  7. 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

  8. Intelligent control in mobile robotics: the PANORAMA project

    NASA Astrophysics Data System (ADS)

    Greenway, Phil

    1994-03-01

    The European Community's strategic research initiative in information technology has been in place for seven years. A good example of the pan-European collaborative projects conducted under this initiative is PANORAMA: Perception and Navigation for Autonomous Mobile Robot Applications. This four-and-a-half-year project, completed in October 1993, aimed to prove the feasibility of an autonomous mobile robotic system replacing a human-operated vehicle working outdoors in a partially structured environment. The autonomous control of a mobile rock drilling machine was chosen as a challenging and representative test scenario. This paper presents an overview of intelligent mobile robot control architectures. Goals and objectives of the project are described, together with the makeup of the consortium and the roles of the members within it. The main technical achievements from PANORAMA are then presented, with emphasis given to the problems of realizing intelligent control. In particular, the planning and replanning of a mission, and the corresponding architectural choices and infrastructure required to support the chosen task oriented approach, are discussed. Specific attention is paid to the functional decomposition of the system, and how the requirements for `intelligent control' impact on the organization of the identified system components. Future work and outstanding problems are considered in some concluding remarks.

  9. 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…

  10. From Intelligence to Leadership: A Brief Intellectual Autobiography

    ERIC Educational Resources Information Center

    Sternberg, Robert J.

    2011-01-01

    "Everyone else was turning the page but I had not yet finished the first item." That is how the author remembers the beginning of his interest in intelligence. For whatever reason, he decided while in elementary school that intelligence is modifiable, and every year he authored a work book with exercises children could complete to increase their…

  11. Effect of Gender and GPA on Emotional Intelligence.

    ERIC Educational Resources Information Center

    Sutarso, Toto; And Others

    The effect of gender and grade point average (GPA) on emotional intelligence (EQ) was studied using the Emotional Intelligence Inventory. The inventory was completed by 138 college students, and data were analyzed using a multivariate factorial model with three factors of EQ as dependent variables (compassion, self-awareness, and attunement) and…

  12. Emotional Intelligence: The Effect of Gender, GPA, and Ethnicity.

    ERIC Educational Resources Information Center

    Tapia, Martha; Marsh, George E., II

    The effects of gender, grade point average (GPA), and ethnicity on emotional intelligence were examined using an inventory called the Emotional Intelligence Inventory Revised (M. Tapia and J. Burry-Stock, 1998) in this study. The inventory was completed by 319 students (162 boys, 157 girls) at a college preparatory bilingual school in Mexico City,…

  13. 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

  14. Squeezing in su(2) intelligent states

    NASA Astrophysics Data System (ADS)

    Mahler, Dylan; Joanis, Patrick; Vilim, Ryan; de Guise, Hubert

    2010-03-01

    Angular momentum intelligent states are defined to satisfy \\Delta J_x \\Delta J_y = \\frac{1}{2}|J_z| . They also share with angular momentum coherent states a number of features. In this paper we describe and illustrate the squeezing properties of angular momentum intelligent states. We analyze three classes of state: never squeezed, always squeezed and sometimes squeezed. Our conclusions are applicable for a broad range of definitions of the standard quantum limit for angular momentum systems.

  15. Role of test motivation in intelligence testing

    PubMed Central

    Duckworth, Angela Lee; Quinn, Patrick D.; Lynam, Donald R.; Loeber, Rolf; Stouthamer-Loeber, Magda

    2011-01-01

    Intelligence tests are widely assumed to measure maximal intellectual performance, and predictive associations between intelligence quotient (IQ) scores and later-life outcomes are typically interpreted as unbiased estimates of the effect of intellectual ability on academic, professional, and social life outcomes. The current investigation critically examines these assumptions and finds evidence against both. First, we examined whether motivation is less than maximal on intelligence tests administered in the context of low-stakes research situations. Specifically, we completed a meta-analysis of random-assignment experiments testing the effects of material incentives on intelligence-test performance on a collective 2,008 participants. Incentives increased IQ scores by an average of 0.64 SD, with larger effects for individuals with lower baseline IQ scores. Second, we tested whether individual differences in motivation during IQ testing can spuriously inflate the predictive validity of intelligence for life outcomes. Trained observers rated test motivation among 251 adolescent boys completing intelligence tests using a 15-min “thin-slice” video sample. IQ score predicted life outcomes, including academic performance in adolescence and criminal convictions, employment, and years of education in early adulthood. After adjusting for the influence of test motivation, however, the predictive validity of intelligence for life outcomes was significantly diminished, particularly for nonacademic outcomes. Collectively, our findings suggest that, under low-stakes research conditions, some individuals try harder than others, and, in this context, test motivation can act as a third-variable confound that inflates estimates of the predictive validity of intelligence for life outcomes. PMID:21518867

  16. The Complete Genome of Propionibacterium freudenreichii CIRM-BIA1T, a Hardy Actinobacterium with Food and Probiotic Applications

    PubMed Central

    Falentin, Hélène; Deutsch, Stéphanie-Marie; Jan, Gwenaël; Loux, Valentin; Thierry, Anne; Parayre, Sandrine; Maillard, Marie-Bernadette; Dherbécourt, Julien; Cousin, Fabien J.; Jardin, Julien; Siguier, Patricia; Couloux, Arnaud; Barbe, Valérie; Vacherie, Benoit; Wincker, Patrick; Gibrat, Jean-François; Gaillardin, Claude; Lortal, Sylvie

    2010-01-01

    Background Propionibacterium freudenreichii is essential as a ripening culture in Swiss-type cheeses and is also considered for its probiotic use [1]. This species exhibits slow growth, low nutritional requirements, and hardiness in many habitats. It belongs to the taxonomic group of dairy propionibacteria, in contrast to the cutaneous species P. acnes. The genome of the type strain, P. freudenreichii subsp. shermanii CIRM-BIA1 (CIP 103027T), was sequenced with an 11-fold coverage. Methodology/Principal Findings The circular chromosome of 2.7 Mb of the CIRM-BIA1 strain has a GC-content of 67% and contains 22 different insertion sequences (3.5% of the genome in base pairs). Using a proteomic approach, 490 of the 2439 predicted proteins were confirmed. The annotation revealed the genetic basis for the hardiness of P. freudenreichii, as the bacterium possesses a complete enzymatic arsenal for de novo biosynthesis of aminoacids and vitamins (except panthotenate and biotin) as well as sequences involved in metabolism of various carbon sources, immunity against phages, duplicated chaperone genes and, interestingly, genes involved in the management of polyphosphate, glycogen and trehalose storage. The complete biosynthesis pathway for a bifidogenic compound is described, as well as a high number of surface proteins involved in interactions with the host and present in other probiotic bacteria. By comparative genomics, no pathogenicity factors found in P. acnes or in other pathogenic microbial species were identified in P. freudenreichii, which is consistent with the Generally Recognized As Safe and Qualified Presumption of Safety status of P. freudenreichii. Various pathways for formation of cheese flavor compounds were identified: the Wood-Werkman cycle for propionic acid formation, amino acid degradation pathways resulting in the formation of volatile branched chain fatty acids, and esterases involved in the formation of free fatty acids and esters. Conclusions

  17. Application of sintered titanium alloys to metal denture bases: a study of titanium powder sheets for complete denture base.

    PubMed

    Doi, H; Harrori, M; Hasegawa, K; Yoshinari, M; Kawada, E; Oda, Y

    2001-02-01

    The purpose of this study was the fabrication of titanium powder sheets to enable the application of sintered titanium alloys as metal denture bases. The effects of titanium particle shape and size, binder content, and plasticizer content on the surface smoothness, tensile strength and elongation of titanium powder sheets was investigated. To select a suitable ratio of powdered metal contents for application as a metal denture base, the effects of aluminum content in Ti sheets and various other powder metal contents in Ti-Al sheets on the density, sintering shrinkage, and bending strength were evaluated. Based on the results of the above experiments, we developed a mixed powder sheet composed of 83Ti-7Al-10Cr with TA45 titanium powder (atomized, -45 microm), and 8 mass% binder content. This titanium alloy sheet had good formability and ductility. Its sintered titanium alloy had a density of 3.2 g/cm3, sintering shrinkage of 3.8%, and bending strength of 403 MPa. The titanium alloy sheet is clinically acceptable for fabricating denture bases. PMID:11484793

  18. Application of sintered titanium alloys to metal denture bases: a study of titanium powder sheets for complete denture base.

    PubMed

    Doi, H; Harrori, M; Hasegawa, K; Yoshinari, M; Kawada, E; Oda, Y

    2001-02-01

    The purpose of this study was the fabrication of titanium powder sheets to enable the application of sintered titanium alloys as metal denture bases. The effects of titanium particle shape and size, binder content, and plasticizer content on the surface smoothness, tensile strength and elongation of titanium powder sheets was investigated. To select a suitable ratio of powdered metal contents for application as a metal denture base, the effects of aluminum content in Ti sheets and various other powder metal contents in Ti-Al sheets on the density, sintering shrinkage, and bending strength were evaluated. Based on the results of the above experiments, we developed a mixed powder sheet composed of 83Ti-7Al-10Cr with TA45 titanium powder (atomized, -45 microm), and 8 mass% binder content. This titanium alloy sheet had good formability and ductility. Its sintered titanium alloy had a density of 3.2 g/cm3, sintering shrinkage of 3.8%, and bending strength of 403 MPa. The titanium alloy sheet is clinically acceptable for fabricating denture bases.

  19. Historical development of mesenteric anatomy provides a universally applicable anatomic paradigm for complete/total mesocolic excision.

    PubMed

    Sehgal, Rishabh; Coffey, J Calvin

    2014-11-01

    Although total mesorectal excision has now become the 'gold standard' for the surgical management of rectal cancer, this is not so for colon cancer. Recent data, provided by Hohenberger and West et al. and others, have demonstrated excellent oncological outcomes when mesenterectomy is extensive (as is implicit in the concept of a 'high tie') and the mesenteric package not violated. Such studies highlight the importance of understanding the basics of the mesenteric organ (including the small intestinal mesentery, mesocolon, mesosigmoid and mesorectum) and of abiding to principles of planar surgery. In this review, we first offer classic descriptions of the mesocolon and then detail contemporary thinking. In so doing, we provide an anatomical basis for safe and effective complete mesocolic excision (CME) in the management of colon cancer. Finally we list opportunities associated with the new anatomical paradigm, demonstrating benefits across multiple disciplines. Perhaps most importantly, we feel that a crystallized view of mesenteric anatomy will overcome factors that have hindered the general uptake of CME. PMID:25035348

  20. 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

  1. 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.

  2. 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

  3. 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…

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. Relationship Between Intelligence and Self-Perceived Intelligence.

    ERIC Educational Resources Information Center

    Kulkarni, A. V.

    1982-01-01

    To investigate the relationship of self-perceived intelligence to measured intelligence across age and instrumentation, two intelligence tests and two self-concept tests were administered to postgraduate students and to high school students. Intelligence and self-perceived intelligence were found to be independent of each other. (Author/CM)

  9. Dorsolateral prefrontal contributions to human intelligence.

    PubMed

    Barbey, Aron K; Colom, Roberto; Grafman, Jordan

    2013-06-01

    Although cognitive neuroscience has made remarkable progress in understanding the involvement of the prefrontal cortex in executive control functions for human intelligence, the necessity of the dorsolateral prefrontal cortex (dlPFC) for key competencies of general intelligence and executive function remains to be well established. Here we studied human brain lesion patients with dlPFC lesions to investigate whether this region is computationally necessary for performance on neuropsychological tests of general intelligence and executive function, administering the Wechsler Adult Intelligence Scale (WAIS) and subtests of the Delis Kaplan Executive Function System (D-KEFS) to three groups: dlPFC lesions (n=19), non-dlPFC lesions (n=152), and no brain lesions (n=55). The results indicate that: (1) patients with focal dlPFC damage exhibit lower scores, at the latent variable level, than controls in general intelligence (g) and executive function; (2) dlPFC patients demonstrate lower scores than controls in several executive measures; and (3) these latter differences are no longer significant when the pervasive influence of the general factor of intelligence (g) is statistically removed. The observed findings support a central role for the dlPFC in global aspects of general intelligence and make specific recommendations for the interpretation and application of the WAIS and D-KEFS to the study of high-level cognition in health and disease.

  10. 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.

  11. 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

  12. 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…

  13. A robust hybrid model integrating enhanced inputs based extreme learning machine with PLSR (PLSR-EIELM) and its application to intelligent measurement.

    PubMed

    He, Yan-Lin; Geng, Zhi-Qiang; Xu, Yuan; Zhu, Qun-Xiong

    2015-09-01

    In this paper, a robust hybrid model integrating an enhanced inputs based extreme learning machine with the partial least square regression (PLSR-EIELM) was proposed. The proposed PLSR-EIELM model can overcome two main flaws in the extreme learning machine (ELM), i.e. the intractable problem in determining the optimal number of the hidden layer neurons and the over-fitting phenomenon. First, a traditional extreme learning machine (ELM) is selected. Second, a method of randomly assigning is applied to the weights between the input layer and the hidden layer, and then the nonlinear transformation for independent variables can be obtained from the output of the hidden layer neurons. Especially, the original input variables are regarded as enhanced inputs; then the enhanced inputs and the nonlinear transformed variables are tied together as the whole independent variables. In this way, the PLSR can be carried out to identify the PLS components not only from the nonlinear transformed variables but also from the original input variables, which can remove the correlation among the whole independent variables and the expected outputs. Finally, the optimal relationship model of the whole independent variables with the expected outputs can be achieved by using PLSR. Thus, the PLSR-EIELM model is developed. Then the PLSR-EIELM model served as an intelligent measurement tool for the key variables of the Purified Terephthalic Acid (PTA) process and the High Density Polyethylene (HDPE) process. The experimental results show that the predictive accuracy of PLSR-EIELM is stable, which indicate that PLSR-EIELM has good robust character. Moreover, compared with ELM, PLSR, hierarchical ELM (HELM), and PLSR-ELM, PLSR-EIELM can achieve much smaller predicted relative errors in these two applications. PMID:26112928

  14. A robust hybrid model integrating enhanced inputs based extreme learning machine with PLSR (PLSR-EIELM) and its application to intelligent measurement.

    PubMed

    He, Yan-Lin; Geng, Zhi-Qiang; Xu, Yuan; Zhu, Qun-Xiong

    2015-09-01

    In this paper, a robust hybrid model integrating an enhanced inputs based extreme learning machine with the partial least square regression (PLSR-EIELM) was proposed. The proposed PLSR-EIELM model can overcome two main flaws in the extreme learning machine (ELM), i.e. the intractable problem in determining the optimal number of the hidden layer neurons and the over-fitting phenomenon. First, a traditional extreme learning machine (ELM) is selected. Second, a method of randomly assigning is applied to the weights between the input layer and the hidden layer, and then the nonlinear transformation for independent variables can be obtained from the output of the hidden layer neurons. Especially, the original input variables are regarded as enhanced inputs; then the enhanced inputs and the nonlinear transformed variables are tied together as the whole independent variables. In this way, the PLSR can be carried out to identify the PLS components not only from the nonlinear transformed variables but also from the original input variables, which can remove the correlation among the whole independent variables and the expected outputs. Finally, the optimal relationship model of the whole independent variables with the expected outputs can be achieved by using PLSR. Thus, the PLSR-EIELM model is developed. Then the PLSR-EIELM model served as an intelligent measurement tool for the key variables of the Purified Terephthalic Acid (PTA) process and the High Density Polyethylene (HDPE) process. The experimental results show that the predictive accuracy of PLSR-EIELM is stable, which indicate that PLSR-EIELM has good robust character. Moreover, compared with ELM, PLSR, hierarchical ELM (HELM), and PLSR-ELM, PLSR-EIELM can achieve much smaller predicted relative errors in these two applications.

  15. Teachers' implicit "theories" of children's intelligence.

    PubMed

    Murrone, J; Gynther, M D

    1991-12-01

    Information about teachers' implicit notions of children's intelligence was obtained by having 50 student-teachers and 79 teachers with 1 to 4 years of experience rate 150 descriptors on applicability to an hypothetical child described as above average, average, or below average in intellectual functioning. Each teacher-subject was classified by dogmatism score and by years of teaching experience. A factor analysis disclosed that Academic Skills and Interpersonal Competencies summarize the implicit notions. Analysis of variance showed that all levels of hypothesized intelligence only affected teachers' expectations of academic skills and that the effect of intelligence was dependent upon the teachers' dogmatism. There were no clear-cut findings associated with years of experience. Results supported previous observations that people have implicit "theories" of intelligence; however, the specific composition of their ideas varies according to the context within which the rater and the person observed are placed. PMID:1792291

  16. A computer architecture for intelligent machines

    NASA Technical Reports Server (NTRS)

    Lefebvre, D. R.; Saridis, G. N.

    1991-01-01

    The Theory of Intelligent Machines proposes a hierarchical organization for the functions of an autonomous robot based on the Principle of Increasing Precision With Decreasing Intelligence. An analytic formulation of this theory using information-theoretic measures of uncertainty for each level of the intelligent machine has been developed in recent years. A computer architecture that implements the lower two levels of the intelligent machine is presented. The architecture supports an event-driven programming paradigm that is independent of the underlying computer architecture and operating system. Details of Execution Level controllers for motion and vision systems are addressed, as well as the Petri net transducer software used to implement Coordination Level functions. Extensions to UNIX and VxWorks operating systems which enable the development of a heterogeneous, distributed application are described. A case study illustrates how this computer architecture integrates real-time and higher-level control of manipulator and vision systems.

  17. Estimating one's own personality and intelligence scores.

    PubMed

    Furnham, Adrian; Chamorro-Premuzic, Tomas

    2004-05-01

    One hundred and eighty-seven university students completed the full NEO-PI-R assessing the five super-traits and 30 primary traits, and the Wonderlic Personnel Test of general intelligence. Two months later (before receiving feedback on their psychometric scores), they estimated their own scores on these variables. Results at the super-factor level indicated that participants could significantly predict/estimate their own Neuroticism, Extraversion, and Conscientiousness scores. The correlation between estimated and psychometrically measured IQ was r=.30, showing that participants could, to some extent, accurately estimate their intelligence. In addition, there were a number of significant correlations between estimated intelligence and psychometrically assessed personality (particularly Neuroticism, Agreeableness and Extraversion). Disagreeable people tended to award themselves higher self-estimated intelligence scores. Similarly, stable people tended to award themselves higher estimates of intelligence (even when other variables were controlled). Regressing both estimated and psychometric IQ scores onto estimated and psychometric personality scores indicated that the strongest significant effect was the relationship between trait scores and self-estimated intelligence. PMID:15142299

  18. Fractionating human intelligence.

    PubMed

    Hampshire, Adam; Highfield, Roger R; Parkin, Beth L; Owen, Adrian M

    2012-12-20

    What makes one person more intellectually able than another? Can the entire distribution of human intelligence be accounted for by just one general factor? Is intelligence supported by a single neural system? Here, we provide a perspective on human intelligence that takes into account how general abilities or "factors" reflect the functional organization of the brain. By comparing factor models of individual differences in performance with factor models of brain functional organization, we demonstrate that different components of intelligence have their analogs in distinct brain networks. Using simulations based on neuroimaging data, we show that the higher-order factor "g" is accounted for by cognitive tasks corecruiting multiple networks. Finally, we confirm the independence of these components of intelligence by dissociating them using questionnaire variables. We propose that intelligence is an emergent property of anatomically distinct cognitive systems, each of which has its own capacity.

  19. Physical Invariants of Intelligence

    NASA Technical Reports Server (NTRS)

    Zak, Michail

    2010-01-01

    A program of research is dedicated to development of a mathematical formalism that could provide, among other things, means by which living systems could be distinguished from non-living ones. A major issue that arises in this research is the following question: What invariants of mathematical models of the physics of systems are (1) characteristic of the behaviors of intelligent living systems and (2) do not depend on specific features of material compositions heretofore considered to be characteristic of life? This research at earlier stages has been reported, albeit from different perspectives, in numerous previous NASA Tech Briefs articles. To recapitulate: One of the main underlying ideas is to extend the application of physical first principles to the behaviors of living systems. Mathematical models of motor dynamics are used to simulate the observable physical behaviors of systems or objects of interest, and models of mental dynamics are used to represent the evolution of the corresponding knowledge bases. For a given system, the knowledge base is modeled in the form of probability distributions and the mental dynamics is represented by models of the evolution of the probability densities or, equivalently, models of flows of information. At the time of reporting the information for this article, the focus of this research was upon the following aspects of the formalism: Intelligence is considered to be a means by which a living system preserves itself and improves its ability to survive and is further considered to manifest itself in feedback from the mental dynamics to the motor dynamics. Because of the feedback from the mental dynamics, the motor dynamics attains quantum-like properties: The trajectory of the physical aspect of the system in the space of dynamical variables splits into a family of different trajectories, and each of those trajectories can be chosen with a probability prescribed by the mental dynamics. From a slightly different perspective

  20. Teaching and Assessing for Successful Intelligence.

    ERIC Educational Resources Information Center

    Sternberg, Robert J.

    1998-01-01

    Intelligence in everyday life requires a broader range of abilities than those measured by conventional tests of academic achievement. Creative and practical skills can be more important than analytic skills. The Sternberg Triarchic Abilities Test, which measures all three abilities, helps teachers obtain more complete picture of child's…