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Sample records for expert system technology

  1. Expert system technology

    NASA Technical Reports Server (NTRS)

    Prince, Mary Ellen

    1987-01-01

    The expert system is a computer program which attempts to reproduce the problem-solving behavior of an expert, who is able to view problems from a broad perspective and arrive at conclusions rapidly, using intuition, shortcuts, and analogies to previous situations. Expert systems are a departure from the usual artificial intelligence approach to problem solving. Researchers have traditionally tried to develop general modes of human intelligence that could be applied to many different situations. Expert systems, on the other hand, tend to rely on large quantities of domain specific knowledge, much of it heuristic. The reasoning component of the system is relatively simple and straightforward. For this reason, expert systems are often called knowledge based systems. The report expands on the foregoing. Section 1 discusses the architecture of a typical expert system. Section 2 deals with the characteristics that make a problem a suitable candidate for expert system solution. Section 3 surveys current technology, describing some of the software aids available for expert system development. Section 4 discusses the limitations of the latter. The concluding section makes predictions of future trends.

  2. Threat expert system technology advisor

    NASA Technical Reports Server (NTRS)

    Kurrasch, E. R.; Tripp, L. R.

    1987-01-01

    A prototype expert system was developed to determine the feasibility of using expert system technology to enhance the performance and survivability of helicopter pilots in a combat threat environment while flying NOE (Nap of the Earth) missions. The basis for the concept is the potential of using an Expert System Advisor to reduce the extreme overloading of the pilot who flies NOE mission below treetop level at approximately 40 knots while performing several other functions. The ultimate goal is to develop a Threat Expert System Advisor which provides threat information and advice that are better than even a highly experienced copilot. The results clearly show that the NOE pilot needs all the help in decision aiding and threat situation awareness that he can get. It clearly shows that heuristics are important and that an expert system for combat NOE helicopter missions can be of great help to the pilot in complex threat situations and in making decisions.

  3. Expert system technology for nondestructive waste assay

    SciTech Connect

    Becker, G.K.; Determan, J.C.

    1998-07-01

    Nondestructive assay waste characterization data generated for use in the National TRU Program must be of known and demonstrable quality. Each measurement is required to receive an independent technical review by a qualified expert. An expert system prototype has been developed to automate waste NDA data review of a passive/active neutron drum counter system. The expert system is designed to yield a confidence rating regarding measurement validity. Expert system rules are derived from data in a process involving data clustering, fuzzy logic, and genetic algorithms. Expert system performance is assessed against confidence assignments elicited from waste NDA domain experts. Performance levels varied for the active, passive shielded, and passive system assay modes of the drum counter system, ranging from 78% to 94% correct classifications.

  4. Expert system technology as a data processing tool

    NASA Technical Reports Server (NTRS)

    Hennessy, John F.

    1988-01-01

    The expert system technology is focused on as a data processing tool. Several existing applications are analyzed. Their original definition as pure expert systems is contrasted with their current status as integrated systems. The architectural requirements needed to support such a heterogeneous environment are given.

  5. Tools and technologies for expert systems: A human factors perspective

    NASA Technical Reports Server (NTRS)

    Rajaram, Navaratna S.

    1987-01-01

    It is widely recognized that technologies based on artificial intelligence (AI), especially expert systems, can make significant contributions to the productivity and effectiveness of operations of information and knowledge intensive organizations such as NASA. At the same time, these being relatively new technologies, there is the problem of transfering technology to key personnel of such organizations. The problems of examining the potential of expert systems and of technology transfer is addressed in the context of human factors applications. One of the topics of interest was the investigation of the potential use of expert system building tools, particularly NEXPERT as a technology transfer medium. Two basic conclusions were reached in this regard. First, NEXPERT is an excellent tool for rapid prototyping of experimental expert systems, but not ideal as a delivery vehicle. Therefore, it is not a substitute for general purpose system implementation languages such a LISP or C. This assertion probably holds for nearly all such tools on the market today. Second, an effective technology transfer mechanism is to formulate and implement expert systems for problems which members of the organization in question can relate to. For this purpose, the LIghting EnGineering Expert (LIEGE) was implemented using NEXPERT as the tool for technology transfer and to illustrate the value of expert systems to the activities of the Man-System Division.

  6. Implementation Of Expert System Technology On The Space Station

    NASA Astrophysics Data System (ADS)

    Nease, Ardell; Fulwider, Richard

    1987-02-01

    The Space Station will be a very complex, closed system. A relatively small crew will be required to manage the day-to-day activities of the Station and to tend the experimental and commercial payloads. Decisions will be required concerning the operation and maintenance of all the elements of the Station. The emerging technology of artificial intelligence is being utilized to build expert system software which will provide the routine reasoning and problem-solving capabilities required to off-load the crew for more productive tasks. The complex problem of building these expert systems and the man-machine interfaces which make them effective are the subjects of this paper.

  7. Expert System Management System

    DTIC Science & Technology

    1991-08-30

    Expert System Management System (ESMS) Small Business Innovative Research Contract developed a distributed fault-tolerant expert system shell for...multiple expert systems in a multiprocessor environment. The ESMS contained four domain specific expert systems called Manager Expert System , Route...Planner Expert System , Weapon Expert System , and Situation Awareness and Display Expert System . The ESMS expert system shell was written in LISP

  8. Expert system technology for natural gas resource development

    SciTech Connect

    Munro, R.G.

    1997-12-31

    Materials data are used in all aspects of the development of natural gas resources. Unconventional gas resources require special attention in their development and may benefit from heuristic assessments of the materials data, geological site conditions, and the knowledge base accumulated from previous unconventional site developments. Opportunities for using expert systems in the development of unconventional natural gas resources are discussed. A brief introduction to expert systems is provided in a context that emphasizes the practical nature of their service. The discussion then focuses on the development of unconventional gas reserves. Whenever possible, the likelihood of success in constructing useful expert systems for gas resource development is indicated by comparisons to existing expert systems that perform comparable functions in other industries. Significant opportunities are found for applications to site assessment, the interpretation of well log data, and the monitoring and optimization of gas processing in small-scale recovery operations.

  9. Contingency support using adaptive telemetry extractor and expert system technologies

    NASA Technical Reports Server (NTRS)

    Bryant, Thomas; Cruse, Bryant; Wende, Charles

    1987-01-01

    The 'telemetry analysis logic for operations support' prototype system constitutes an expert system that is charged with contingency planning for the NASA Hubble Space Telescope (HST); this system has demonstrated the feasibility of using an adaptive telemetry extractor/reformatter that is integrated with an expert system. A test case generated by a simulator has demonstrated the reduction of the time required for analysis of a complex series of failures to a few minutes, from the hour usually required. The HST's telemetry extractor will be able to read real-time engineering telemetry streams and disk-based data. Telemetry format changes will be handled almost instantaneously.

  10. Expert Systems: Concepts and Applications. Advances in Library Information Technology, Issue Number 1.

    ERIC Educational Resources Information Center

    Fenly, Charles; Harris, Howard

    The Processing Services department of the Library of Congress initiated a project to learn about expert systems technology and to examine potential applications of expert systems to functions in their department, e.g., acquisitions, cataloging, and serials control. (An expert system is defined as an artificial intelligence computer program which…

  11. CLEAR: Automating control centers with expert system technology

    NASA Technical Reports Server (NTRS)

    Hughes, Peter M.

    1990-01-01

    The Communications Link Expert Assistance Resource (CLEAR) is a fault-isolation expert system to be utilized in the operational environment of the Cosmic Background Explorer (COBE) Mission Operations Room (MOR). CLEAR will assist the COBE Flight Operations Team (FOT) during periods of real-time data acquisition by isolating faults in the spacecraft communication link with the Tracking and Data Relay Satellite (TDRS), providing advice on how to correct them, and logging the events for post-pass evaluation. After a brief introduction to the problem domain, the system requirements, tool selection, development approach, system operation and lessons learned during the transformation of the system from the prototype to the delivered, operation system are described.

  12. Robotics and expert systems

    SciTech Connect

    Not Available

    1986-01-01

    This volume contains papers presented at ROBEXS' 86, the Second Annual Workshop on Robotics and Expert Systems. Many diverse perspectives on automation problems, and on the merging of robotics and expert systems technology with conventional systems, are contained in this book. The contents include: Integrated Expert Systems Applications; Expert Systems Theory and Applications, Robotics, Intelligent Control, CAD/CAE/CAM, AI Tools, Human Factors, and intelligent Interfaces.

  13. Tactical Weather Expert System.

    DTIC Science & Technology

    The objective of this project was to assess the feasibility of developing an expert system for tactical weather prediction. Using WILLARD, an expert ...indicate that intelligent interpretations of cloud formations can be made. These inferences can then be automatically passed to the expert system for...processing as another piece of information. It is anticipated that this technology will significantly reduce the dependence of the expert system on a

  14. Adaptive security systems -- Combining expert systems with adaptive technologies

    SciTech Connect

    Argo, P.; Loveland, R.; Anderson, K.

    1997-09-01

    The Adaptive Multisensor Integrated Security System (AMISS) uses a variety of computational intelligence techniques to reason from raw sensor data through an array of processing layers to arrive at an assessment for alarm/alert conditions based on human behavior within a secure facility. In this paper, the authors give an overview of the system and briefly describe some of the major components of the system. This system is currently under development and testing in a realistic facility setting.

  15. Expert Systems Technology and Its Implication for Archives. National Archives Technical Information Paper No. 9.

    ERIC Educational Resources Information Center

    Michelson, Avra

    This report introduces archivists to the potential of expert systems for improving archives administration and alerts them to ways in which they can expect intelligent technologies to impact federal record-keeping systems and scholarly research methods. The report introduces the topic by describing expert systems used in three Fortune 500…

  16. Expert Systems: What Is an Expert System?

    ERIC Educational Resources Information Center

    Duval, Beverly K.; Main, Linda

    1994-01-01

    Describes expert systems and discusses their use in libraries. Highlights include parts of an expert system; expert system shells; an example of how to build an expert system; a bibliography of 34 sources of information on expert systems in libraries; and a list of 10 expert system shells used in libraries. (Contains five references.) (LRW)

  17. Innovation on Energy Power Technology (22)Challenge to Development of Expert System stored Knowledge of Expert Power Network Operators

    NASA Astrophysics Data System (ADS)

    Sakaguchi, Hideharu

    Do you remember an expert system? I think there are various impressions about the system. For example, some might say “It reminds me of old days”. On the other hand, some might say “It was really troublesome”. About 25 years ago, from late 1980s to the middle of 1990s, when the Showa era was about to change into the Heisei Era, artificial intelligence boomed. Research and development for an expert system which was equipped with expertise and worked as smart as expert, was advanced in various fields. Our company also picked up the system as the new system which covered weak point of conventional computer technology. We started research and development in 1984, and installed an expert system in a SCADA system, which started operating in March 1990 in the Fukuoka Integrated Control Center. In this essay, as an electric power engineer who involved in development at that time, I introduce the situation and travail story about developing an expert system which support restorative actions from the outage and overload condition of power networks.

  18. Application of expert system technology to nondestructive waste assay - initial prototype model

    SciTech Connect

    Becker, G.K.; Determan, J.C.

    1997-11-01

    Expert system technology has been identified as a technique useful for filling certain types of technology/capability gaps in existing waste nondestructive assay (NDA) applications. In particular, expert system techniques are being investigated with the intent of providing on-line evaluation of acquired data and/or directed acquisition of data in a manner that mimics the logic and decision making process a waste NDA expert would employ. The space from which information and data sources utilized in this process is much expanded with respect to the algorithmic approach typically utilized in waste NDA. Expert system technology provides a mechanism to manage and reason with this expanded information/data set. The material presented in this paper concerns initial studies and a resultant prototype expert system that incorporates pertinent information, and evaluation logic and decision processes, for the purpose of validating acquired waste NDA measurement assays. 6 refs., 6 figs.

  19. Benchmarking expert system tools

    NASA Technical Reports Server (NTRS)

    Riley, Gary

    1988-01-01

    As part of its evaluation of new technologies, the Artificial Intelligence Section of the Mission Planning and Analysis Div. at NASA-Johnson has made timing tests of several expert system building tools. Among the production systems tested were Automated Reasoning Tool, several versions of OPS5, and CLIPS (C Language Integrated Production System), an expert system builder developed by the AI section. Also included in the test were a Zetalisp version of the benchmark along with four versions of the benchmark written in Knowledge Engineering Environment, an object oriented, frame based expert system tool. The benchmarks used for testing are studied.

  20. Benchmarking expert system tools

    NASA Technical Reports Server (NTRS)

    Riley, Gary

    1988-01-01

    As part of its evaluation of new technologies, the Artificial Intelligence Section of the Mission Planning and Analysis Div. at NASA-Johnson has made timing tests of several expert system building tools. Among the production systems tested were Automated Reasoning Tool, several versions of OPS5, and CLIPS (C Language Integrated Production System), an expert system builder developed by the AI section. Also included in the test were a Zetalisp version of the benchmark along with four versions of the benchmark written in Knowledge Engineering Environment, an object oriented, frame based expert system tool. The benchmarks used for testing are studied.

  1. Robotics and expert systems. Volume 3

    SciTech Connect

    Not Available

    1987-01-01

    This book presents papers given at a workshop on robotics and expert systems. Topics considered at the conference include: symbolic computation expert systems for software productivity; expert systems, practices; expert systems, methods; and, technology needs and productivity.

  2. Spacecraft Environmental Anomalies Expert System

    DTIC Science & Technology

    1994-02-23

    An expert system has been developed by The Aerospace Corporation, Space and Environment Technology Center for use in the diagnosis of satellite...anomalies caused by the space environment. The expert system is designed to determine the probable cause of an anomaly from the following candidates...in the satellite. The expert system is a rule-based system that uses the Texas Instrument’s Personal Consultant Plus expert - system shell. The expert

  3. Analysis of the application of decontamination technologies to radioactive metal waste minimization using expert systems

    SciTech Connect

    Bayrakal, S.

    1993-09-30

    Radioactive metal waste makes up a significant portion of the waste currently being sent for disposal. Recovery of this metal as a valuable resource is possible through the use of decontamination technologies. Through the development and use of expert systems a comparison can be made of laser decontamination, a technology currently under development at Ames Laboratory, with currently available decontamination technologies for applicability to the types of metal waste being generated and the effectiveness of these versus simply disposing of the waste. These technologies can be technically and economically evaluated by the use of expert systems techniques to provide a waste management decision making tool that generates, given an identified metal waste, waste management recommendations. The user enters waste characteristic information as input and the system then recommends decontamination technologies, determines residual contamination levels and possible waste management strategies, carries out a cost analysis and then ranks, according to cost, the possibilities for management of the waste. The expert system was developed using information from literature and personnel experienced in the use of decontamination technologies and requires validation by human experts and assignment of confidence factors to the knowledge represented within.

  4. Expert Systems, Job Aids, and the Future of Instructional Technology; and Decision Tables, the Poor Person's Answer to "Expert Systems."

    ERIC Educational Resources Information Center

    Harmon, Paul; Pipe, Peter

    1986-01-01

    Describes design and presents examples of industrial use of small expert systems and guidelines for choosing problems which lend themselves to small tool solutions. Use of microcomputer facilitated decision tables to diagnose and categorize people, things, and issues is suggested, and development of three decision table formats is described. (MBR)

  5. Integration of Health Maintenance Guidelines into a Clinical Workstation Using Expert System and Relational Database Technology

    PubMed Central

    Jenders, Robert A.; Barnett, G. Octo

    1993-01-01

    We are developing a clinical workstation which integrates access to health maintenance guidelines with a computer-based medical record. We discuss the use of relational database and expert system technology to provide both patient-specific and patient-independent access to clinical guidelines.

  6. Expert Systems: An Overview.

    ERIC Educational Resources Information Center

    Adiga, Sadashiv

    1984-01-01

    Discusses: (1) the architecture of expert systems; (2) features that distinguish expert systems from conventional programs; (3) conditions necessary to select a particular application for the development of successful expert systems; (4) issues to be resolved when building expert systems; and (5) limitations. Examples of selected expert systems…

  7. Expert Systems and Special Education.

    ERIC Educational Resources Information Center

    Hofmeister, Alan M.; Ferrara, Joseph M.

    1986-01-01

    The article discusses the characteristics of expert systems (computer programs designed to replicate human expertise in a variety of areas), describes recently available expert system development tools, suggests applications within the field of special education, and reviews recent efforts to apply expert systems technology to special education…

  8. Validation of expert systems

    NASA Technical Reports Server (NTRS)

    Stachowitz, Rolf A.; Combs, Jacqueline B.

    1988-01-01

    The validation of expert systems (ESs) has only recently become an active AI research topic. Current approaches have concentrated mainly on the validation of rule properties of such systems. The efforts presented improves on current methods by also exploiting the structural and semantic information of such systems. To increase programmer productivity, more and more companies have begun exploiting the advent of AI technology by developing applications using ES shells or other AI-based high level program generators. The architecture, functionality, and future goals of Expert Systems Validation are described along with the features that have been implemented for and in Automated Reasoning Tool, the ES shell presented.

  9. Building a prototype expert systems

    SciTech Connect

    Kalmus, D.; Hutchinson, M.; Hall, D.

    1988-07-01

    In the past few years expert system technology has been gaining increasing respect within the world of computer science as it offers practical solutions to problems which have previously defied computerization. This paper is the culmination of a years investigation into how LBL can practically make use of this technology to solve some of the problems being faced by its scientists. To establish this and gain a greater understanding of expert system technology we attempted to build a prototype expert system using a commercially available expert system shell. The application we chose was to troubleshoot the hardware of the TPC particle detector (used by high energy physicists at LBL) using Neuron Data's expert system shell, Nexpert. This paper gives some brief overviews of the theoretical and practical work done by other people in fields relevant to this project. It includes: expert systems, their development, diagnostic expert systems, and examples of expert systems built to troubleshoot electronic devices. We describe how we selected our prototype expert system and then how we went about designing and building it. For this we have detailed the knowledge necessary to start troubleshooting the TPC and the methods used to represent that knowledge within the expert system shell. Finally we discuss the understanding of expert system technology which we have gained during this project and why we believe that this technology has a place in the future of problem solving at LBL. 31 refs.

  10. Transient stability expert system

    SciTech Connect

    Akimoto, Y.; Tanaka, H.; Yoshizawa, J.; Klapper, D.B.; Price, W.W.; Wirgau, K.A.

    1989-02-01

    The objective of the work described in this paper was to develop expert system concepts for use with power system stability studies, and provide proof of the concepts in a prototype computer program. Power system stability analysis consists of several activities (procedures), each with it's own technology. An analysis of the transient stability problem-solving process indicates that it is an iterative design procedure. Portions of this procedure are analogous to a closed loop feedback control system. For example, the Remedial Measures procedure determines changes in the system to satisfy a performance criterion. The user, with the help of the expert system, incorporates these changes into the design and determines the impact on the system performance. This process continues until satisfactory performance is achieved. The following conclusions were found: power system transient stability is a meaningful area for application of expert systems. The expert system can cover a broad spectrum of activities which includes qualitative and quantitative evaluation of system transient performance, suggestions for further processing, and contributions to study organization. It was determined that the expert system inferencing procedure should be highly efficient to process this type of problem.

  11. An engineering approach to the use of expert systems technology in avionics applications

    NASA Technical Reports Server (NTRS)

    Duke, E. L.; Regenie, V. A.; Brazee, M.; Brumbaugh, R. W.

    1986-01-01

    The concept of using a knowledge compiler to transform the knowledge base and inference mechanism of an expert system into a conventional program is presented. The need to accommodate real-time systems requirements in applications such as embedded avionics is outlined. Expert systems and a brief comparison of expert systems and conventional programs are reviewed. Avionics applications of expert systems are discussed before the discussions of applying the proposed concept to example systems using forward and backward chaining.

  12. An expert system for ensuring the reliability of the technological process of cold sheet metal forming

    NASA Astrophysics Data System (ADS)

    Kashapova, L. R.; Pankratov, D. L.; Utyaganov, P. P.

    2016-06-01

    In order to exclude periodic defects in the parts manufacturing obtained by cold sheet metal forming a method of automated estimation of technological process reliability was developed. The technique is based on the analysis of reliability factors: detail construction, material, mechanical and physical requirements; hardware settings, tool characteristics, etc. In the work the expert system is presented based on a statistical accumulation of the knowledge of the operator (technologist) and decisions of control algorithms.

  13. Using Expert System Job Aids: A Primer.

    ERIC Educational Resources Information Center

    Carr, Clay

    1989-01-01

    Explains how current commercial expert system technology can be used to create useful job aids. Expert systems are defined, situations in which an expert system job aid will be most effective are described, expert system shells are discussed, and three commercial expert system products are described. (LRW)

  14. True and False Dependence on Technology: Evaluation with an Expert System.

    ERIC Educational Resources Information Center

    Will, Richard P.

    1991-01-01

    Describes a study which investigated the use of an expert system that leads to incorrect advice to identify whether novice or expert users (petroleum engineers) are able to tell when the system is producing erroneous results. Dysfunctional relationships between expert systems and users are discussed, and additional research is suggested. (37…

  15. Expert system for technology screening for SOC and VOC contaminated water

    SciTech Connect

    Lo, I.M.C.; Pota, A.A.

    1997-09-01

    A prototype expert system program was developed to select the best available technology used for the removal of volatile organic chemicals and synthetic organic chemicals from contaminated water. The technologies considered in this study are packed tower air stripping (AST) with and without off-gas control using gas phase granular activated carbon (GPGAC) adsorption, liquid phase granular activated carbon (LPGAC) adsorption, and their combinations. Selecting from these processes is a complex procedure because of the uncertainties associated with the process-specific feasibility parameters such as pretreatment conditions, capacity to handle variable flow and shock loading, nature of treatment goal (long term or short term), nature of regeneration facility (for LPGAC and GPGAC), and air pollution (for AST). This expert system simplifies the complex selection procedure by sifting through both least-cost design knowledge and process feasibility knowledge. The system is thus able to predict the suitability of a treatment technology based on factors other than least cost and offers this advantage over other process selection tools. The system was applied to three case studies, and the best treatment technology in each study was identified based on the given parameters.

  16. What Are Expert Systems?

    ERIC Educational Resources Information Center

    d'Agapeyeff, A.

    1986-01-01

    Intended for potential business users, this paper describes the main characteristics of expert systems; discusses practical use considerations; presents a taxonomy of the systems; and reviews several expert system development projects in business and industry. (MBR)

  17. A guide to expert systems

    SciTech Connect

    Waterman, D.

    1986-01-01

    This is a general guide to expert systems written specifically for the reader without a computer science background. Contents: Introduction; Introduction to expert systems; Expert system tools; Building an expert system; Difficulties with expert system development; Expert systems in the marketplace; Expert systems and tools; Glossary of expert system terms; References; Author index; Subject index.

  18. Using AI/expert system technology to automate planning and replanning for the HST servicing missions

    NASA Technical Reports Server (NTRS)

    Bogovich, L.; Johnson, J; Tuchman, A.; Mclean, D.; Page, B.; Kispert, A.; Burkhardt, C.; Littlefield, R.; Potter, W.

    1993-01-01

    This paper describes a knowledge-based system that has been developed to automate planning and scheduling for the Hubble Space Telescope (HST) Servicing Missions. This new system is the Servicing Mission Planning and Replanning Tool (SM/PART). SM/PART has been delivered to the HST Flight Operations Team (FOT) at Goddard Space Flight Center (GSFC) where it is being used to build integrated time lines and command plans to control the activities of the HST, Shuttle, Crew and ground systems for the next HST Servicing Mission. SM/PART reuses and extends AI/expert system technology from Interactive Experimenter Planning System (IEPS) systems to build or rebuild time lines and command plans more rapidly than was possible for previous missions where they were built manually. This capability provides an important safety factor for the HST, Shuttle and Crew in case unexpected events occur during the mission.

  19. Expert Systems and Special Education.

    ERIC Educational Resources Information Center

    Hofmeister, Alan M.; Ferrara, Joseph M.

    The application of artificial intelligence to the problems of education is examined. One of the most promising areas in artificial intelligence is expert systems technology which engages the user in a problem-solving diaglogue. Some of the characteristics that make expert systems "intelligent" are identified and exemplified. The rise of…

  20. Expert judgment and expert systems

    SciTech Connect

    Mumpower, J.; Phillips, L.D.; Renn, O.; Uppuluri, V.R.R.

    1987-01-01

    This volume collects researchers from the fields of psychology, decision analysis, and artificial intelligence. The purposes were to assess similarities, differences, and complementarities among the three approaches to the study of expert judgment; to evaluate their relative strengths and weaknesses; and to propose profitable linkages between them. Each of the papers in the present volume is directed toward one or more of these goals.

  1. Autonomous power expert system

    NASA Technical Reports Server (NTRS)

    Ringer, Mark J.; Quinn, Todd M.

    1990-01-01

    The goal of the Autonomous Power System (APS) program is to develop and apply intelligent problem solving and control technologies to the Space Station Freedom Electrical Power Systems (SSF/EPS). The objectives of the program are to establish artificial intelligence/expert system technology paths, to create knowledge based tools with advanced human-operator interfaces, and to integrate and interface knowledge-based and conventional control schemes. This program is being developed at the NASA-Lewis. The APS Brassboard represents a subset of a 20 KHz Space Station Power Management And Distribution (PMAD) testbed. A distributed control scheme is used to manage multiple levels of computers and switchgear. The brassboard is comprised of a set of intelligent switchgear used to effectively switch power from the sources to the loads. The Autonomous Power Expert System (APEX) portion of the APS program integrates a knowledge based fault diagnostic system, a power resource scheduler, and an interface to the APS Brassboard. The system includes knowledge bases for system diagnostics, fault detection and isolation, and recommended actions. The scheduler autonomously assigns start times to the attached loads based on temporal and power constraints. The scheduler is able to work in a near real time environment for both scheduling and dynamic replanning.

  2. Building expert systems: Cognitive emulation

    SciTech Connect

    Slatter, P.E.

    1987-01-01

    This work explores the questions and issues surrounding the capacity of expert systems to emulate human thinking and problem-solving abilities, the extent to which this is possible, and the desirability and limitations involved in applying this new technology. Maintaining a balance between theoretical and practical issues, it reviews psychological research into human expert cognition and discusses the formal arguments for and against cognitive emulation in expert system design. Also analyzes in detail the factors likely to promote or constrain this strategy. Includes a critical survey of expert systems research which outlines the implications of the emulation approach to knowledge acquisition and representation.

  3. Engineering monitoring expert system's developer

    NASA Technical Reports Server (NTRS)

    Lo, Ching F.

    1991-01-01

    This research project is designed to apply artificial intelligence technology including expert systems, dynamic interface of neural networks, and hypertext to construct an expert system developer. The developer environment is specifically suited to building expert systems which monitor the performance of ground support equipment for propulsion systems and testing facilities. The expert system developer, through the use of a graphics interface and a rule network, will be transparent to the user during rule constructing and data scanning of the knowledge base. The project will result in a software system that allows its user to build specific monitoring type expert systems which monitor various equipments used for propulsion systems or ground testing facilities and accrues system performance information in a dynamic knowledge base.

  4. Integration of Basic Skills into Vocational Education: Expert Systems in Electronics Technology. Vocational Education Research.

    ERIC Educational Resources Information Center

    University of Southwestern Louisiana, Lafayette.

    A student who plans to enter the field of technology education must be especially motivated to incorporate computer technology into the theories of learning. Evaluation prior to the learning process establishes a frame of reference for students. After preparing students with the basic concepts of resistors and the mental tools, the expert system…

  5. An application of expert systems technology to remotely sensed image analysis

    NASA Technical Reports Server (NTRS)

    Erickson, W. K.; Likens, W. C.

    1984-01-01

    In October of 1983, a project was initiated at NASA/Ames Research Center to design a prototype expert system capable of producing a preliminary land cover classification from an unsupervised classification of Landsat Multispectral Scanner (MSS) imagery and associated collateral data. This paper outlines the problem of determining land cover classes from an unsupervised classification, presents a brief overview of expert systems, and continues with a description of the design and current state of implementation of NASA/Ames' prototype Landsat MSS image analysis expert system.

  6. Ethical Expert Systems

    PubMed Central

    Victoroff, Michael S.

    1985-01-01

    The title is a double entendre. The discussion approaches expert systems from two directions: “What ethical hazards are created by expert systems in medicine?” and “Would it be ethical to design an expert system for solving problems in bioethics?” Computers present new ethical problems to society, some of which are unprecedented. These can be categorized under several rubrics. The paper describes a rudimentary scheme for understanding ethical issues raised by computers, in general, and medical expert systems, in particular. It focuses on bioethical implications of AI in medicine; explores norms, assumptions and taboos; and highlights certain ethical pitfalls. Principles are elucidated, for building ethically sound systems. Finally, a proposal is discussed, for the design of an expert system for moral problem solving, and the ethical implications of this notion are analyzed.

  7. Corrosion consultant expert system

    SciTech Connect

    Mo, Y.L.

    1994-12-31

    The development and use of an expert system to recommend coatings for flue gas desulfurization (FGD) plant is described. The system ranks coatings by their material properties, experimental test and plant performance scores when the component to be coated and its working environment are specified. The user interface, the inference engine, the knowledge base and the implementation of the expert system are presented with comments on its suitability and application for corrosion consultations.

  8. Register of hydrogen technology experts

    NASA Technical Reports Server (NTRS)

    Ludtke, P. R.

    1975-01-01

    This register presents the names of approximately 235 individuals who are considered experts, or very knowledgeable, in various fields of technology related to hydrogen. Approximately 90 organizations are represented. Each person is listed by organizational affiliation, address, and principal area of expertise. The criteria for selection of names for the register are extensive experience in a given field of work, participation in or supervision of relevant research programs, contributions to the literature, or being recognized as an expert in a particular field. The purpose of the register is to present, in easy form, sources of dependable information regarding highly technical areas of hydrogen technology, with particular emphasis on safety. The register includes two indexes: an alphabetical listing of the experts and an alphabetical listing of the organizations with which they are affiliated.

  9. Expert systems - 1987

    SciTech Connect

    Walker, T.C.; Miller, R.K.

    1987-01-01

    This is the 1987 updated version of expert systems which includes diverse areas such as CAD/CAM, business management, robotics, welding, computer hardware and software support, electronic design, medicine, insurance, transportation, and maintenance. AI Language Compilers are also inventoried. This handbook is designed to give an overview of the entire field and to assist the reader in sorting through the hundreds of expert systems which are developed to identify cost-effective tools and applications for in-house implementation.

  10. Avionic expert systems

    NASA Technical Reports Server (NTRS)

    Golshani, Forouzan

    1988-01-01

    At the heart of any intelligent flight control system, there is a knowledge based expert system. The efficiency of these knowledge bases is one of the major factors in the success of aviation and space control systems. In the future, the speed and the capabilities of the expert system and their underlying data base(s) will be the limiting factors in the ability to build more accurate real time space controllers. A methodology is proposed for design and construction of such expert systems. It is noted that existing expert systems are inefficient (slow) in dealing with nontrivial real world situations that involve a vast collection of data. However, current data bases, which are fast in handling large amounts of data, cannot carry out intelligent tasks normally expected from an expert system. The system presented provides the power of deduction (reasoning) along with the efficient mechanisms for management of large data bases. In the system, both straight forward evaluation procedures and sophisticated inference mechanisms coexist. The design methodology is based on mathematics and logic, which ensures the correctness of the final product.

  11. User interfaces to expert systems

    SciTech Connect

    Agarwal, A.; Emrich, M.L.

    1988-10-01

    Expert Systems are becoming increasingly popular in environments where the user is not well versed in computers or the subject domain. They offer expert advice and can also explain their lines of reasoning. As these systems are applied to highly technical areas, they become complex and large. Therefore, User Systems Interfaces (USIs) become critical. This paper discusses recent technologies that can be applied to improved user communication. In particular, bar menus/graphics, mouse interfaces, touch screens, and voice links will be highlighted. Their applications in the context of SOFTMAN (The Software Manager Apprentice) a knowledge-based system are discussed. 18 refs., 2 figs.

  12. Fracture mechanics expert system

    NASA Technical Reports Server (NTRS)

    Powers, E.; Elfer, N.; Casadaban, C.

    1992-01-01

    Attention is given to fracture mechanics, an analytical method used extensively in the National Space Transportation System to conservatively predict the remaining service life of an article when a flaw or a material defect is detected. These analyses are performed on hardware containing material defects that have been detected by various nondestructive inspection techniques. An expert system being developed to streamline the process so that hardware dispositions may be obtained in a timely and consistent manner is discussed. The expert system reduces the potential for errors due to the manual transcription between the various software programs involved in completing a fracture mechanics analysis. NEXPERT Object, the expert system development shell selected for this purpose, allows the various software programs used in fracture mechanics analyses to be accessed and manipulated from the same platform.

  13. Fracture mechanics expert system

    SciTech Connect

    Powers, E.; Elfer, N.; Casadaban, C. )

    1992-01-01

    Attention is given to fracture mechanics, an analytical method used extensively in the National Space Transportation System to conservatively predict the remaining service life of an article when a flaw or a material defect is detected. These analyses are performed on hardware containing material defects that have been detected by various nondestructive inspection techniques. An expert system being developed to streamline the process so that hardware dispositions may be obtained in a timely and consistent manner is discussed. The expert system reduces the potential for errors due to the manual transcription between the various software programs involved in completing a fracture mechanics analysis. NEXPERT Object, the expert system development shell selected for this purpose, allows the various software programs used in fracture mechanics analyses to be accessed and manipulated from the same platform. 7 refs.

  14. Fracture mechanics expert system

    NASA Technical Reports Server (NTRS)

    Powers, E.; Elfer, N.; Casadaban, C.

    1992-01-01

    Attention is given to fracture mechanics, an analytical method used extensively in the National Space Transportation System to conservatively predict the remaining service life of an article when a flaw or a material defect is detected. These analyses are performed on hardware containing material defects that have been detected by various nondestructive inspection techniques. An expert system being developed to streamline the process so that hardware dispositions may be obtained in a timely and consistent manner is discussed. The expert system reduces the potential for errors due to the manual transcription between the various software programs involved in completing a fracture mechanics analysis. NEXPERT Object, the expert system development shell selected for this purpose, allows the various software programs used in fracture mechanics analyses to be accessed and manipulated from the same platform.

  15. A gene mapping expert system.

    PubMed

    Galland, J; Skolnick, M H

    1990-08-01

    Expert systems are now commonly developed to solve practical problems. Nevertheless, genetics has just begun to benefit from this new technology, since genetic expert systems are extremely rare and often purely experimental. A prototype for risk calculation in pedigrees was developed at the University of Utah, using a commercial frames/rules developmental shell (Intelligence Compiler), which runs on an IBM PC. When small data sets were used, the implementation functioned well, but it could not handle larger data sets. Performance became a major issue, with two possible solutions. The first possibility would have been to port the system to a more powerful machine, and the second would have been to use several different shells or languages, each efficiently representing a specific type of knowledge. Neither of these solutions was applicable in this case. From this experience, we learned that performance, portability, and modifiability were three major requirements for genetic expert systems. To achieve these goals, we implemented the gene mapping expert system GMES: (GMES is unrelated to the gene mapping system, GMS in Lisp combined with a frame/object shell (FROBS). We were able to efficiently represent, control, and optimize a gene mapping experiment, achieving portability by building GMES on top of a C-based version of Common Lisp. Lisp combined with the FROBS expert system shell permitted a declarative representation of each of the components of the experiment, resulting in a transplant specification of the problem within a maintainable system.

  16. Capital Expert System

    NASA Astrophysics Data System (ADS)

    Dowell, Laurie; Gary, Jack; Illingworth, Bill; Sargent, Tom

    1987-05-01

    Gathering information, necessary forms, and financial calculations needed to generate a "capital investment proposal" is an extremely complex and difficult process. The intent of the capital investment proposal is to ensure management that the proposed investment has been thoroughly investigated and will have a positive impact on corporate goals. Meeting this requirement typically takes four or five experts a total of 12 hours to generate a "Capital Package." A Capital Expert System was therefore developed using "Personal Consultant." The completed system is hybrid and as such does not depend solely on rules but incorporates several different software packages that communicate through variables and functions passed from one to another. This paper describes the use of expert system techniques, methodology in building the knowledge base, contexts, LISP functions, data base, and special challenges that had to be overcome to create this system. The Capital Expert System is the successful result of a unique integration of artificial intelligence with business accounting, financial forms generation, and investment proposal expertise.

  17. Robot environment expert system

    NASA Technical Reports Server (NTRS)

    Potter, J. L.

    1985-01-01

    The Robot Environment Expert System uses a hexidecimal tree data structure to model a complex robot environment where not only the robot arm moves, but also the robot itself and other objects may move. The hextree model allows dynamic updating, collision avoidance and path planning over time, to avoid moving objects.

  18. Expert Systems Research.

    ERIC Educational Resources Information Center

    Duda, Richard O.; Shortliffe, Edward H.

    1983-01-01

    Discusses a class of artificial intelligence computer programs (often called "expert systems" because they address problems normally thought to require human specialists for their solution) intended to serve as consultants for decision making. Also discusses accomplishments (including information systematization in medical diagnosis and…

  19. Expert systems in civil engineering

    SciTech Connect

    Kostem, C.N.; Maher, M.L.

    1986-01-01

    This book presents the papers given at a symposium on expert systems in civil engineering. Topics considered at the symposium included problem solving using expert system techniques, construction schedule analysis, decision making and risk analysis, seismic risk analysis systems, an expert system for inactive hazardous waste site characterization, an expert system for site selection, knowledge engineering, and knowledge-based expert systems in seismic analysis.

  20. Expert system application education project

    NASA Technical Reports Server (NTRS)

    Gonzelez, Avelino J.; Ragusa, James M.

    1988-01-01

    Artificial intelligence (AI) technology, and in particular expert systems, has shown potential applicability in many areas of operation at the Kennedy Space Center (KSC). In an era of limited resources, the early identification of good expert system applications, and their segregation from inappropriate ones can result in a more efficient use of available NASA resources. On the other hand, the education of students in a highly technical area such as AI requires an extensive hands-on effort. The nature of expert systems is such that proper sample applications for the educational process are difficult to find. A pilot project between NASA-KSC and the University of Central Florida which was designed to simultaneously address the needs of both institutions at a minimum cost. This project, referred to as Expert Systems Prototype Training Project (ESPTP), provided NASA with relatively inexpensive development of initial prototype versions of certain applications. University students likewise benefit by having expertise on a non-trivial problem accessible to them at no cost. Such expertise is indispensible in a hands-on training approach to developing expert systems.

  1. Expert Systems Application In Manufacturing

    NASA Astrophysics Data System (ADS)

    Som, Pradip; Chitturi, Ramesh; Babu, A. J. G.

    1987-05-01

    Expert system, a special branch of Artificial Intelligence finds its way in the domain of manufacturing. This paper presents the basic ideas and features of the expert systems, problems in manufacturing and application of expert systems in manufacturing. As the process planning is an important phase in manufacturing, the suitability of expert systems for process planning area has been highlighted. Several expert systems, developed to solve manufacturing problems are also discussed in the paper.

  2. Liquid low level waste management expert system

    SciTech Connect

    Ferrada, J.J.; Abraham, T.J. ); Jackson, J.R. )

    1991-01-01

    An expert system has been developed as part of a new initiative for the Oak Ridge National Laboratory (ORNL) systems analysis program. This expert system will aid in prioritizing radioactive waste streams for treatment and disposal by evaluating the severity and treatability of the problem, as well as the final waste form. The objectives of the expert system development included: (1) collecting information on process treatment technologies for liquid low-level waste (LLLW) that can be incorporated in the knowledge base of the expert system, and (2) producing a prototype that suggests processes and disposal technologies for the ORNL LLLW system. 4 refs., 9 figs.

  3. Expert Systems Development Methodology

    DTIC Science & Technology

    1989-07-28

    two volumes. Volume 1 is the Development Metodology and Volume 2 is an Evaluation Methodology containing methods for evaluation, validation and...system are written in an English -like language which almost anyone can understand. Thus programming in rule based systems can become "programming for...computers and others have little understanding about how computers work. The knowledge engineer must therefore be willing and able to teach the expert

  4. Emergency Supply Expert System

    DTIC Science & Technology

    1993-04-01

    Supply Expert System (ESEX) is one of three studies being provided to the Defense Logistics Agency (DLA) under KPMG Peat Marwick delivery order F7-04...benefits of implementing ESEX. The sources of this data included an ESEX Executive Summary Report/Business Case dated February 1992, historical budget...individual AVRS engines. Methodology The study team gathered statistical data from the three sites currently operating ESEX within DLA. Through trips to two

  5. An Initial Study Examining the Feasibility of Expert System Technology for Command and Control of Supporting Arms in the United States Marine Corps.

    DTIC Science & Technology

    1988-03-01

    commander in the employment of supporting arms. 0 iv TABLE OF CONTENTS I. INTRODUCTION ..................................... I II . ARTIFICIAL... II . A thorough understanding of artificial intelligence and expert system technology is essential in understanding the proposed application to the...facts remain unchanged. •6 II . ARTIFICIAL INTELLIGENCE/EXPERT SYSTEM OVERVIEW A. BACKGROUND The following discussion of artificial intelligence and

  6. Empirical analysis for expert systems

    SciTech Connect

    Politakis, P.

    1985-01-01

    This book describes an AI system designed to improve the development of expert systems for classification-type problems. A system referred to as ''seek'' that gives interactive advice about rule refinement in the design of an expert system is presented. The system develops techniques to integrate dual sources of expert knowledge efficiently. The techniques are used to develop a diagnostic consultant for rheumatology.

  7. Expert systems for superalloy studies

    NASA Technical Reports Server (NTRS)

    Workman, Gary L.; Kaukler, William F.

    1990-01-01

    There are many areas in science and engineering which require knowledge of an extremely complex foundation of experimental results in order to design methodologies for developing new materials or products. Superalloys are an area which fit well into this discussion in the sense that they are complex combinations of elements which exhibit certain characteristics. Obviously the use of superalloys in high performance, high temperature systems such as the Space Shuttle Main Engine is of interest to NASA. The superalloy manufacturing process is complex and the implementation of an expert system within the design process requires some thought as to how and where it should be implemented. A major motivation is to develop a methodology to assist metallurgists in the design of superalloy materials using current expert systems technology. Hydrogen embrittlement is disasterous to rocket engines and the heuristics can be very complex. Attacking this problem as one module in the overall design process represents a significant step forward. In order to describe the objectives of the first phase implementation, the expert system was designated Hydrogen Environment Embrittlement Expert System (HEEES).

  8. Toward the Development of Expert Assessment Systems.

    ERIC Educational Resources Information Center

    Hasselbring, Ted S.

    1986-01-01

    The potential application of "expert systems" to the diagnosis and assessment of special-needs children is examined and existing prototype systems are reviewed. The future of this artificial intelligence technology is discussed in relation to emerging development tools designed for the creation of expert systems by the lay public. (Author)

  9. Toward the Development of Expert Assessment Systems.

    ERIC Educational Resources Information Center

    Hasselbring, Ted S.

    1986-01-01

    The potential application of "expert systems" to the diagnosis and assessment of special-needs children is examined and existing prototype systems are reviewed. The future of this artificial intelligence technology is discussed in relation to emerging development tools designed for the creation of expert systems by the lay public. (Author)

  10. An Expert System for Asset Reconciliation.

    DTIC Science & Technology

    1987-09-01

    Expert system technology appears to hold considerable promise for enhancing productivity and promoting better decision-making. The purpose of this...study was to determine if an expert system application for asset reconciliation could improve inventory management procedures and potentially produce...finding that documented a 15 percent increase in the effectiveness of inventory managers when assisted by an expert system . Research was conducted to

  11. Expert systems development and application

    NASA Technical Reports Server (NTRS)

    Duke, E. L.; Regenie, V. A.

    1985-01-01

    Current research in the application of expert systems to problems in the flight research environment is discussed. In what is anticipated to be a broad research area, a real time expert system flight status monitor has been identified as the initial project. This real time expert system flight status monitor is described in terms of concept, application, development, and schedule.

  12. The Applicability and Limitations of Expert System Shells

    DTIC Science & Technology

    1989-05-30

    As expert system technology has moved from the laboratory into the field, tools for building expert systems have become commercially available. This...discusses problems which exist with current expert system shells, and makes recommendations for overcoming them. Keywords: Case studies; Computer programming; Expert systems; Rule-based systems; Knowledge-based system.

  13. Expert System Software

    NASA Technical Reports Server (NTRS)

    1989-01-01

    C Language Integrated Production System (CLIPS) is a software shell for developing expert systems is designed to allow research and development of artificial intelligence on conventional computers. Originally developed by Johnson Space Center, it enables highly efficient pattern matching. A collection of conditions and actions to be taken if the conditions are met is built into a rule network. Additional pertinent facts are matched to the rule network. Using the program, E.I. DuPont de Nemours & Co. is monitoring chemical production machines; California Polytechnic State University is investigating artificial intelligence in computer aided design; Mentor Graphics has built a new Circuit Synthesis system, and Brooke and Brooke, a law firm, can determine which facts from a file are most important.

  14. Fuzzy controllers and fuzzy expert systems: industrial applications of fuzzy technology

    NASA Astrophysics Data System (ADS)

    Bonissone, Piero P.

    1995-06-01

    We will provide a brief description of the field of approximate reasoning systems, with a particular emphasis on the development of fuzzy logic control (FLC). FLC technology has drastically reduced the development time and deployment cost for the synthesis of nonlinear controllers for dynamic systems. As a result we have experienced an increased number of FLC applications. In a recently published paper we have illustrated some of our efforts in FLC technology transfer, covering projects in turboshaft aircraft engine control, stream turbine startup, steam turbine cycling optimization, resonant converter power supply control, and data-induced modeling of the nonlinear relationship between process variable in a rolling mill stand. These applications will be illustrated in the oral presentation. In this paper, we will compare these applications in a cost/complexity framework, and examine the driving factors that led to the use of FLCs in each application. We will emphasize the role of fuzzy logic in developing supervisory controllers and in maintaining explicit the tradeoff criteria used to manage multiple control strategies. Finally, we will describe some of our FLC technology research efforts in automatic rule base tuning and generation, leading to a suite of programs for reinforcement learning, supervised learning, genetic algorithms, steepest descent algorithms, and rule clustering.

  15. A unit commitment expert system

    SciTech Connect

    Mokhtari, S.; Singh, J.; Wollenberg, B.

    1987-02-01

    An expert system based consultant has been developed to assist power system operators in scheduling the operation of generating units. First, problems with existing unit commitment algorithms were identified. Then the knowledge of an experienced power system operator and a unit commitment programming expert were combined to create an expert system rule base. To use the expert system as a unit commitment consultant the operator provides information in response to questions. The expert system uses this information along with the rules either to ask for more information or to reach a conclusion. The expert system answers the most frequent questions raised by system operators and improves the unit commitment solution results by indicating how to adjust input data. It concludes the operational constraints not included in the unit commitment base algorithm and results in a more efficient program execution. Numerical examples and test results show that this approach can obtain a better and operationally more acceptable unit commitment solution.

  16. Expert Systems in Reference Services.

    ERIC Educational Resources Information Center

    Roysdon, Christine, Ed.; White, Howard D., Ed.

    1989-01-01

    Eleven articles introduce expert systems applications in library and information science, and present design and implementation issues of system development for reference services. Topics covered include knowledge based systems, prototype development, the use of artificial intelligence to remedy current system inadequacies, and an expert system to…

  17. Expert Systems in Reference Services.

    ERIC Educational Resources Information Center

    Roysdon, Christine, Ed.; White, Howard D., Ed.

    1989-01-01

    Eleven articles introduce expert systems applications in library and information science, and present design and implementation issues of system development for reference services. Topics covered include knowledge based systems, prototype development, the use of artificial intelligence to remedy current system inadequacies, and an expert system to…

  18. Spacecraft environmental anomalies expert system

    NASA Technical Reports Server (NTRS)

    Koons, H. C.; Gorney, D. J.

    1988-01-01

    A microcomputer-based expert system is being developed at the Aerospace Corporation Space Sciences Laboratory to assist in the diagnosis of satellite anomalies caused by the space environment. The expert system is designed to address anomalies caused by surface charging, bulk charging, single event effects and total radiation dose. These effects depend on the orbit of the satellite, the local environment (which is highly variable), the satellite exposure time and the hardness of the circuits and components of the satellite. The expert system is a rule-based system that uses the Texas Instruments Personal Consultant Plus expert system shell. The completed expert system knowledge base will include 150 to 200 rules, as well as a spacecraft attributes database, an historical spacecraft anomalies database, and a space environment database which is updated in near real-time. Currently, the expert system is undergoing development and testing within the Aerospace Corporation Space Sciences Laboratory.

  19. Deploying expert systems in Ada

    NASA Technical Reports Server (NTRS)

    Lee, S. Daniel; Allen, Bradley P.

    1989-01-01

    As the Department of Defense Ada mandate begins to be enforced actively, interest in deploying expert systems in Ada has increased. A prototype Ada based expert system tool is introduced called ART/Ada. This prototype was built to support research into the language and operational issues of expert systems in Ada. ART/Ada allows applications of a conventional expert system tool called ART-IM (Automated Reasoning Tool for Information Management) to be deployed in various Ada environments with efficient use of time and space. ART-IM, a C-based expert system tool, is used to generate Ada source code which is compiled and linked with an Ada base inference engine to produce an Ada executable image. ART/Ada will be used to implement several prototype expert systems for the Space Station Freedom Program testbeds.

  20. EASy: Expert authorizations system

    SciTech Connect

    Altfeld, J.; Landon, D.F.; Daniels, C.J.

    1996-12-31

    Equifax Check Services provides retail merchants and other businesses with quality decisions concerning the acceptability. risk. or fraudulence of customer checks. The greatest percentage of these decisions are provided automatically through on-line links with point-of-sale terminals. When a transaction is suspect, a referral notice is generated directing the merchant to call one of Equifax Check Services` authorization centers for additional processing. This processing considers a wide variety of information unavailable through online processing, thereby giving consumers the greatest possible benefit of doubt prior to declining checks. These high-risk authorizations had historically been handled using a legacy mainframe system involving a high degree of manual intervention. Authorizations agents would complete a lengthy, rigorous training regimen, and be monitored as to their performance. Pursuit of service excellence caused Equifax, in conjunction with Brightware Corporation, to develop the Expert Authorization System (EASy), a rule-based solution for check authorizations that uses an innovative twist on a standard blackboard architecture. EASy was deployed and is used today by as many as 300 concurrent users. By encapsulating extensive domain knowledge, EASy has effectively eliminated authorization errors, provided consistent and replicable decisions, reduced elapsed time to a decision, and reduced the average agent training time from 4-6 weeks to 3 days.

  1. Expert Systems and Document Handling.

    ERIC Educational Resources Information Center

    Edmonds, Ernest

    1987-01-01

    Describes significant attributes of expert systems, contrasts them to conventional computer systems, and provides an overview of the R1 expert system used by Digital Equipment Corporation (DEC) to put together operational systems that meet customers' requirements. Document handling, particularly pictures and images in documents, is also briefly…

  2. Expert systems not only for the Japanese

    SciTech Connect

    Leiffer, J.

    1983-06-01

    The fifth generation of computers is under development in Japan. This generation will incorporate an expert system, which is supposed to provide expert information to non-experts, hereby acting like a human brain. The present technological standard and the functioning of such equipment is described. Particular attention is given to the research and development studies for the design, storage and updating of the information centre. Apparently, expert systems are suitable for all specific fields, provided that certain, properly adjusted, rules can be established. In case, the Japanese are successful with their project of the fifth computer generation technology development, the extent and the effect of expert system application will increase radically in future. This development has to be watched by the Europeans most carefully.

  3. Vehicle Corrosion Expert System (CES)

    DTIC Science & Technology

    2000-07-19

    Report developed under SBlR contract for topic A99-092. This report describes the design and development of a vehicle Corrosion Expert System (CES). CES has immediate utility in the automotive industry by vehicle manufactures that have the...eliminate or reduce the expensive Accelerated Corrosion Testing phase of the new vehicle development effort. The Vehicle Corrosion Expert System supports...and level of detail required to allow the user to use the Expert System for his area of interest.

  4. Expert Systems as Tools for Technical Communicators.

    ERIC Educational Resources Information Center

    Grider, Daryl A.

    1994-01-01

    Discusses expertise, what an expert system is, what an expert system shell is, what expert systems can and cannot do, knowledge engineering and technical communicators, and planning and managing expert system projects. (SR)

  5. Expert Systems for the Analytical Laboratory.

    ERIC Educational Resources Information Center

    de Monchy, Allan R.; And Others

    1988-01-01

    Discusses two computer problem solving programs: rule-based expert systems and decision analysis expert systems. Explores the application of expert systems to automated chemical analyses. Presents six factors to consider before using expert systems. (MVL)

  6. Expert Systems for the Analytical Laboratory.

    ERIC Educational Resources Information Center

    de Monchy, Allan R.; And Others

    1988-01-01

    Discusses two computer problem solving programs: rule-based expert systems and decision analysis expert systems. Explores the application of expert systems to automated chemical analyses. Presents six factors to consider before using expert systems. (MVL)

  7. SENLEX: Sensor layout expert system

    SciTech Connect

    Ward, J.D.; Sena, K.J.

    1986-01-01

    An expert system is under development to carry out intrusion detection sensor placement for physical security systems. Expert systems are computer programs that use symbolic programming techniques to duplicate the reasoning processes of human experts. Because sensitive facilities often require complex, multi-sensor intrusion detection systems, the design rules for achieving high levels of detection performance are not easily transferred to novices. Since these design rules reside in the minds of the individual experts performing the tasks, the need to consolidate this knowledge in a form that is available to others was a driving force in this project. The first phase of this project is described in this paper. It consists of an expert system for sensor placement in a graded clear zone. The program has the capability of handling several different sensor types and of coordinating the placement of multiple sensor types. The designs produced by the program in comparison with the designs produced by human experts are discussed.

  8. CLIPS: An expert system building tool

    NASA Technical Reports Server (NTRS)

    Riley, Gary

    1991-01-01

    The C Language Integrated Production System (CLIPS) is an expert system building tool, which provides a complete environment for the development and delivery of rule and/or object based expert systems. CLIPS was specifically designed to provide a low cost option for developing and deploying expert system applications across a wide range of hardware platforms. The commercial potential of CLIPS is vast. Currently, CLIPS is being used by over 3,300 individuals throughout the public and private sector. Because the CLIPS source code is readily available, numerous groups have used CLIPS as a basis for their own expert system tools. To date, three commercially available tools have been derived from CLIPS. In general, the development of CLIPS has helped to improve the ability to deliver expert system technology throughout the public and private sectors for a wide range of applications and diverse computing environments.

  9. Issues in expert system development

    SciTech Connect

    Baer, C.L.

    1988-03-01

    The explicit representation of domain knowledge and its separation from the processes which manipulate it and the representation formalism particular to artificial intelligence allow expert systems to solve problems which are characterized by a high combinatoric complexity or which are sufficiently ill defined as to not have reasonable software engineering solutions. The expert system approach to problem-solving differs radically from it conventional system development counterpart. This paper defines the expert system and introduces the production system architecture. The relative strengths and weaknesses of expert system and software engineering approaches to problem solving are discussed. Also addressed are criteria for identifying problems amenable to expert system solution and some justification for system development.

  10. Expert system for productivity enhancement

    SciTech Connect

    Kengskool, K.

    1986-01-01

    This research develops a microcomputer based expert system that assists a human operator with productivity enhancement of work activities using the Method Improvement design strategy. The specific problem domain of this expert system is one of manual jobs performed by one operator at one workplace where the operator totally controls the cycle time of the operation. The specific output of the research is an expert system that effectively and efficiently aids practitioners in performing work system modeling, and enhancement tasks. The research methodology utilizes the Principles of Method Improvement and attempts to incorporate key features of expert system design. The usefulness of this new approach to work system modeling and enhancement is validated through a critical review of the expert system by potential users of the system.

  11. Expert system controlled microwave tubes

    SciTech Connect

    Siambis, J.; Bacher, H.; Bemis, T.; Hargreaves, T.; Rogers, R.; Symons, R.; Vaughan, R.; Kolte, G.; Lee, M.

    1995-12-31

    The design, manufacture, reliable, long-life operation and life-time cost-effective performance and recycling of high value microwave tubes can benefit significantly by the introduction and integration of expert system controls in microwave tubes. Expert systems are based on a computer module equipped with (a) sensors to measure the state of the system (b) a database and computational capability to compare the measured state of the system against a programmed state (c) capable of deciding and initiating corrective action on the state of the system through (d) adaptive controls and activators capable of modifying the operating state. The authors have begun the investigation and development of an expert system using the klystron tube L-5838 as a testbed. Initially, all sensors and controls are placed outside the vacuum envelope of the tube in order to minimize the insertion cost of the expert system. They report here on an expert system for the input cavity of the klystron tube.

  12. Expert system technologies for Space Shuttle decision support: Two case studies

    NASA Technical Reports Server (NTRS)

    Ortiz, Christopher J.; Hasan, David A.

    1994-01-01

    This paper addresses the issue of integrating the C Language Integrated Production System (CLIPS) into distributed data acquisition environments. In particular, it presents preliminary results of some ongoing software development projects aimed at exploiting CLIPS technology in the new mission control center (MCC) being built at NASA Johnson Space Center. One interesting aspect of the control center is its distributed architecture; it consists of networked workstations which acquire and share data through the NASA/JSC-developed information sharing protocol (ISP). This paper outlines some approaches taken to integrate CLIPS and ISP in order to permit the development of intelligent data analysis applications which can be used in the MCC. Three approaches to CLIPS/IPS integration are discussed. The initial approach involves clearly separating CLIPS from ISP using user-defined functions for gathering and sending data to and from a local storage buffer. Memory and performance drawbacks of this design are summarized. The second approach involves taking full advantage of CLIPS and the CLIPS Object-Oriented Language (COOL) by using objects to directly transmit data and state changes from ISP to COOL. Any changes within the object slots eliminate the need for both a data structure and external function call thus taking advantage of the object matching capabilities within CLIPS 6.0. The final approach is to treat CLIPS and ISP as peer toolkits. Neither is embedded in the other; rather the application interweaves calls to each directly in the application source code.

  13. Expert systems in treating substance abuse.

    PubMed

    Wesson, D R; Hink, R H

    1990-05-01

    Computer programs can assist humans in solving complex problems that cannot be solved by traditional computational techniques using mathematic formulas. These programs, or "expert systems," are commonly used in finance, engineering, and computer design. Although not routinely used in medicine at present, medical expert systems have been developed to assist physicians in solving many kinds of medical problems that traditionally require consultation from a physician specialist. No expert systems are available specifically for drug abuse treatment, but at least one is under development. Where access to a physician specialist in substance abuse is not available for consultation, this expert system will extend specialized substance abuse treatment expertise to nonspecialists. Medical expert systems are a developing technologic tool that can assist physicians in practicing better medicine.

  14. Using graphics and expert system technologies to support satellite monitoring at the NASA Goddard Space Flight Center

    NASA Technical Reports Server (NTRS)

    Hughes, Peter M.; Shirah, Gregory W.; Luczak, Edward C.

    1994-01-01

    At NASA's Goddard Space Flight Center, fault-isolation expert systems have been developed to support data monitoring and fault detection tasks in satellite control centers. Based on the lessons learned during these efforts in expert system automation, a new domain-specific expert system development tool named the Generic Spacecraft Analysts Assistant (GenSAA), was developed to facilitate the rapid development and reuse of real-time expert systems to serve as fault-isolation assistants for spacecraft analysts. This paper describes GenSAA's capabilities and how it is supporting monitoring functions of current and future NASA missions for a variety of satellite monitoring applications ranging from subsystem health and safety to spacecraft attitude. Finally, this paper addresses efforts to generalize GenSAA's data interface for more widespread usage throughout the space and commercial industry.

  15. An expert system for miscible gasflooding

    SciTech Connect

    Khan, S.; Pope, G.A.; Sepehrnoori, K. )

    1993-02-01

    The input data sets for compositional simulators include a large number of parameters that must be assigned carefully to represent the petroleum reservoir with an appropriate model and to make accurate and efficient simulations. With emerging expert-system technology, The University of Texas Input Parameter Selection Expert System (UTINPUT) has been developed on a workstation using NEXPERT OBJECT, an expert-system shell. C and a hybrid approach combining rules and objects were used. A customized user interface was developed and integrated with the expert system by use of NEXPERT's delivery system, NEXPERT FORMS. The resulting expert system is interactive, user-friendly, and efficient and provides the necessary expertise to create input data sets for UTCOMP. A major part of this research was accumulating expertise through literature, simulation experts, and, to a much greater extent, detailed simulation studies with emphasis on reservoir fluid characterization, selection of timestep size, and design of miscible gasfloods. The authors research shows that expert system technology can be used effectively in conjunction with reservoir simulators to simulate such complex processes as miscible gas flooding and to preserve and transfer such expertise.

  16. Prototype expert system for infusion pump maintenance.

    PubMed

    Mataban, B A

    1994-01-01

    With today's object-oriented software, knowledge-base building becomes simple. Using ServiceSoft's Service Power tools, an IMED PC-1 infusion pump prototype expert system was built. Approximately three man-weeks of work was expended to build the prototype expert system providing advice on repair to the board level. The prototype was demonstrated to the Department of Defense, and they are considering the inclusion of expert systems technology in medical equipment maintenance as one facet of their consolidation of logistic and administrative functions of the four military services' health care delivery.

  17. Expert systems-enhancement of productivity

    SciTech Connect

    Obermeier, K.K.

    1983-01-01

    The design of expert systems has become an active area of research for information analysts and computer scientists. Their partial success (e.g. Mycin, Mdx, Prospector, Macsyma, Dendral) has led to cautious optimism. The following issues figure predominantly in the ongoing discussion and are investigated in this presentation: (1) the implementation issue addresses the epistemological and technological question of how expert knowledge should be organized and represented; (2) the evaluation issue assesses criteria for determining the performance of a given system; (3) the integration issue deals with the sociological and ethical questions of how expert systems should be integrated in the production process. 23 references.

  18. Expert systems for personnel assignment

    SciTech Connect

    Hardee, J.L.; Liepins, G.

    1986-01-01

    In order to reduce stress on assignment personnel (detailers) and ensure maximum fairness and consistency in the Navy's personnel assignment process, The Navy Military Personnel Command (NMPC) has begun to explore the potential use of expert systems to supplement current manual and computerized distribution methods. The Detailer's Assistant expert system is being developed to improve the detailers' ability to satisfy the needs of their constituents and Navy management. An initial prototype of the Detailer's Assistant is now being evaluated. Numerous upgrades and extensions should lead to an operational system in the near future. Further development to a production system will involve additional research in machine learning, intelligent database methods, and cooperating expert systems.

  19. Expert Systems in Clinical Microbiology

    PubMed Central

    Winstanley, Trevor; Courvalin, Patrice

    2011-01-01

    Summary: This review aims to discuss expert systems in general and how they may be used in medicine as a whole and clinical microbiology in particular (with the aid of interpretive reading). It considers rule-based systems, pattern-based systems, and data mining and introduces neural nets. A variety of noncommercial systems is described, and the central role played by the EUCAST is stressed. The need for expert rules in the environment of reset EUCAST breakpoints is also questioned. Commercial automated systems with on-board expert systems are considered, with emphasis being placed on the “big three”: Vitek 2, BD Phoenix, and MicroScan. By necessity and in places, the review becomes a general review of automated system performances for the detection of specific resistance mechanisms rather than focusing solely on expert systems. Published performance evaluations of each system are drawn together and commented on critically. PMID:21734247

  20. Modelling a Complex System: Using Novice-Expert Analysis for Developing an Effective Technology-Enhanced Learning Environment

    ERIC Educational Resources Information Center

    Wu, Hsin-Kai

    2010-01-01

    The purposes of this article are to present the design of a technology-enhanced learning environment (Air Pollution Modeling Environment [APoME]) that was informed by a novice-expert analysis and to discuss high school students' development of modelling practices in the learning environment. APoME was designed to help high school students…

  1. Modelling a Complex System: Using Novice-Expert Analysis for Developing an Effective Technology-Enhanced Learning Environment

    ERIC Educational Resources Information Center

    Wu, Hsin-Kai

    2010-01-01

    The purposes of this article are to present the design of a technology-enhanced learning environment (Air Pollution Modeling Environment [APoME]) that was informed by a novice-expert analysis and to discuss high school students' development of modelling practices in the learning environment. APoME was designed to help high school students…

  2. Cornell Mixing Zone Expert System

    EPA Pesticide Factsheets

    This page provides an overview Cornell Mixing Zone Expert System water quality modeling and decision support system designed for environmental impact assessment of mixing zones resulting from wastewater discharge from point sources

  3. Communication Alarm Processor Expert System.

    SciTech Connect

    Purucker, S.L.; Tonn, B.E.; Goeltz, R.T.; Hemmelman, K.M.; Rasmussen, R.D.; Borys, S.F.

    1988-01-01

    A prototype expert system is being developed by the Oak Ridge National Laboratory and Bonneville Power Administration to process alarms from Bonneville's microwave communication system. The microwave system transmits data from power facilities in four Pacific Northwestern states to a central operations control facility. The communications alarm processor (CAP) will receive real-time data, diagnose operational problems, archive alarm information, and support analysis aimed at improving equipment maintenance. The expert system will operate in an advisory capacity. The ultimate goal is to develop systems that will enhance the operation and maintenance for the entire power system. This paper describes Bonneville's operations, the domain and architecture of the expert system, the methods used for knowledge representation and acquisition, the hardware and software of the prototype, and implementation challenges of real-time expert systems. 7 refs., 3 figs.

  4. Applications of artificial intelligence and expert systems

    SciTech Connect

    Not Available

    1987-01-01

    This book contains over 30 papers. Some of the titles are: operating systems for CD/ROM; the impact of optical storage technology on education; the future of expert systems in the financial services industry; the future of compact disk/DC-1 explosive ordinance disposal rendered safe information system; and will artificial intelligence improve computer based training (CBT) development process.

  5. Rule groupings in expert systems

    NASA Technical Reports Server (NTRS)

    Mehrotra, Mala; Johnson, Sally C.

    1990-01-01

    Currently, expert system shells do not address software engineering issues for developing or maintaining expert systems. As a result, large expert systems tend to be incomprehensible, difficult to debug or modify, and almost impossible to verify or validate Partitioning rule-based systems into rule groups which reflect the underlying subdomains of the problem should enhance the comprehensibility, maintainability, and reliability of expert-system software. In this paper, we investigate methods to semi-automatically structure a CLIPS rule base e into groups of rules that carry related information. We discuss three different distance metrics for measuring the relatedness of rules and describe two clustering algorithms based on these distance metrics. The results of our experiment with three sample rule bases are also presented.

  6. QUEST: Quality of Expert Systems

    NASA Astrophysics Data System (ADS)

    Lenting, Jacques H. J.; Perre, Michael

    1990-11-01

    The problems encountered in expert systems development are analyzed and a quality framework which takes a view at the quality problem from three perspectives is developed: the quality of the development process, the quality of the specifications and the quality of the expert system viewed as a product. In order to get a better grasp of the problem a number of methods and techniques, derived from conventional and artificial intelligence systems development, are reviewed. The conceptual similarities between data bases and knowledge bases are stressed. The use of conventional specification methods, in particular Nijssens Information Analysis Methodology (NIAM), is considered. In addition to this, algorithms for preserving consistency and integrity of the knowledge base are compared. The modularity and structure of knowledge bases is examined, together with the applicability of conventional testing methodologies in expert systems. The integration of data base theory and artificial intelligence are shown to signify a step in the direction of a better quality control of expert systems.

  7. Parallel processing and expert systems

    NASA Technical Reports Server (NTRS)

    Lau, Sonie; Yan, Jerry C.

    1991-01-01

    Whether it be monitoring the thermal subsystem of Space Station Freedom, or controlling the navigation of the autonomous rover on Mars, NASA missions in the 1990s cannot enjoy an increased level of autonomy without the efficient implementation of expert systems. Merely increasing the computational speed of uniprocessors may not be able to guarantee that real-time demands are met for larger systems. Speedup via parallel processing must be pursued alongside the optimization of sequential implementations. Prototypes of parallel expert systems have been built at universities and industrial laboratories in the U.S. and Japan. The state-of-the-art research in progress related to parallel execution of expert systems is surveyed. The survey discusses multiprocessors for expert systems, parallel languages for symbolic computations, and mapping expert systems to multiprocessors. Results to date indicate that the parallelism achieved for these systems is small. The main reasons are (1) the body of knowledge applicable in any given situation and the amount of computation executed by each rule firing are small, (2) dividing the problem solving process into relatively independent partitions is difficult, and (3) implementation decisions that enable expert systems to be incrementally refined hamper compile-time optimization. In order to obtain greater speedups, data parallelism and application parallelism must be exploited.

  8. Applying expertise to data in the Geologist's Assistant expert system

    SciTech Connect

    Berkbigler, K.P.; Papcun, G.J.; Marusak, N.L.; Hutson, J.E.

    1988-01-01

    The Geologist's Assistant combines expert system technology with numerical pattern-matching and online communication to a large database. This paper discusses the types of rules used for the expert system, the pattern-matching technique applied, and the implementation of the system using a commercial expert system development environment. 13 refs., 8 figs.

  9. Cathodic protection diagnostic expert system

    SciTech Connect

    Van Blaricum, V.L.; Kumar, A.; Park, Y.T.

    1994-12-31

    A knowledge-based diagnostic system called CP Diagnostic has been developed for troubleshooting sacrificial and impressed current cathodic protection systems. The expert system is designed to work in conjunction with the CP Diagnostic database system, which stores inventory and field measurement information for CP systems and flags problem areas. When a malfunction is detected, the expert system queries the user and the companion inventory and field measurement databases to determine its symptoms. The system will be described and examples of troubleshooting using the system will be presented.

  10. Teenage Technological Experts' Views of Schooling

    ERIC Educational Resources Information Center

    Johnson, Nicola F.

    2009-01-01

    Utilising Pierre Bourdieu's formula for studying social practice, this study explored the construction of technological expertise amongst a heterogeneous group of New Zealand teenagers. The qualitative study employed observations and interviews with five boys and three girls aged 13-17, who considered themselves to be technological experts; their…

  11. Parallel processing and expert systems

    NASA Technical Reports Server (NTRS)

    Yan, Jerry C.; Lau, Sonie

    1991-01-01

    Whether it be monitoring the thermal subsystem of Space Station Freedom, or controlling the navigation of the autonomous rover on Mars, NASA missions in the 90's cannot enjoy an increased level of autonomy without the efficient use of expert systems. Merely increasing the computational speed of uniprocessors may not be able to guarantee that real time demands are met for large expert systems. Speed-up via parallel processing must be pursued alongside the optimization of sequential implementations. Prototypes of parallel expert systems have been built at universities and industrial labs in the U.S. and Japan. The state-of-the-art research in progress related to parallel execution of expert systems was surveyed. The survey is divided into three major sections: (1) multiprocessors for parallel expert systems; (2) parallel languages for symbolic computations; and (3) measurements of parallelism of expert system. Results to date indicate that the parallelism achieved for these systems is small. In order to obtain greater speed-ups, data parallelism and application parallelism must be exploited.

  12. Nickel Hydrogen Battery Expert System

    NASA Technical Reports Server (NTRS)

    Johnson, Yvette B.; Mccall, Kurt E.

    1992-01-01

    The Nickel Cadmium Battery Expert System-2, or 'NICBES-2', which was used by the NASA HST six-battery testbed, was subsequently converted into the Nickel Hydrogen Battery Expert System, or 'NICHES'. Accounts are presently given of this conversion process and future uses being contemplated for NICHES. NICHES will calculate orbital summary data at the end of each orbit, and store these files for trend analyses and rules-generation.

  13. Expert assessments of future photovoltaic technologies.

    PubMed

    Curtright, Aimee E; Morgan, M Granger; Keith, David W

    2008-12-15

    Subjective probabilistic judgments about future module prices of 26 current and emerging photovoltaic (PV) technologies were obtained from 18 PV technology experts. Fourteen experts provided detailed assessments, including likely future efficiencies and prices under four policy scenarios. While there is considerable dispersion among the judgments, the results suggest a high likelihood that some PV technology will achieve a price of $1.20/Wp by 2030. Only 7 of 18 experts assess a better-than-even chance that any PV technology will achieve $0.30/Wp by 2030; 10 of 18 experts give this assessment by 2050. Given these odds, and the wide dispersion in results, we conclude that PV may have difficulty becoming economically competitive with other options for large-scale, low-carbon bulk electricity in the next 40 years. If $0.30/Wp is not reached, then PV will likely continue to expand in markets other than bulk power. In assessing different policy mechanisms, a majority of experts judged that R&D would most increase efficiency, while deployment incentives would most decrease price. This implies a possible disconnect between research and policy goals. Governments should be cautious about large subsidies for deployment of present PV technology while continuing to invest in R&D to lower cost and reduce uncertainty.

  14. Cathodic protection diagnostic expert system

    SciTech Connect

    Van Blaricum, V.L.; Kumar, A. ); Park, Y.T. . Dept. of Computer Science)

    1994-12-01

    A knowledge-based diagnostic system has been developed for troubleshooting cathodic protection systems. The expert system is designed to work in conjunction with a database that stores inventory and field measurement information and flags problem areas. The system is described, and examples of troubleshooting using the system are presented.

  15. The nutrition advisor expert system

    NASA Technical Reports Server (NTRS)

    Huse, Scott M.; Shyne, Scott S.

    1991-01-01

    The Nutrition Advisor Expert System (NAES) is an expert system written in the C Language Integrated Production System (CLIPS). NAES provides expert knowledge and guidance into the complex world of nutrition management by capturing the knowledge of an expert and placing it at the user's fingertips. Specifically, NAES enables the user to: (1) obtain precise nutrition information for food items; (2) perform nutritional analysis of meal(s), flagging deficiencies based upon the U.S. Recommended Daily Allowances; (3) predict possible ailments based upon observed nutritional deficiency trends; (4) obtain a top ten listing of food items for a given nutrient; and (5) conveniently upgrade the data base. An explanation facility for the ailment prediction feature is also provided to document the reasoning process.

  16. Fuzzy expert system: applications to geology

    SciTech Connect

    Fang, J.H.

    1987-05-01

    Expert systems are potentially valuable tools for scientists who are in so-called inexact sciences, such as geology. This is because expert-system technology deemphasizes the number-crunching aspect of computers; instead, symbol manipulation is the kernel of the expert-system software. Most geologic data are imprecise and often incomplete; yet, geologists must make decisions under uncertainty based on approximate reasoning. To deal with those situations, Aristotelian logic of true/false employed in most expert-system shells is inadequate; fuzzy logic must be incorporated in the inference engine as well as knowledge base of the expert system. Furthermore, many geological problems cannot be solved by a deductive chain of reasoning, but the solutions have to rely on a collection of related facts in an inductive fashion. An expert system shell which can accomplish all these is FLOPS - Fuzzy Logic Production System. The system employs fuzzy concepts throughout: production rules use fuzzy logic; data types include fuzzy numbers; and fuzzy predicates are provided for fuzzy comparison of numbers. It handles inductive reasoning by a production system which fires rules in parallel rather than sequentially, using weakly monotonic logic to solve memory conflicts. This paper is illustrated by examples from qualitative x-ray phase analysis and determination of clastic depositional environments.

  17. SENLEX: sensor layout expert system

    SciTech Connect

    Ward, J.D.; Sena, K.J.

    1986-01-01

    An expert system is under development to carry out intrusion detection sensor placement for physical security systems. Expert systems are computer programs that use symbolic programming techniques to duplicate the reasoning processes of human experts. Because sensitive facilities often require complex, multi-sensor intrusion detection systems, the design rules for achieving high levels of detection performance are not easily transferred to novices. Since these design rules reside in the minds of the individual experts performing the tasks, the need to consolidate this knowledge in a form that is available to others was a driving force in this project. The first phase of this project is described in this paper. It consists of an expert system for sensor placement in a graded clear zone. The program has the capability of handling several different sensor types and of coordinating the placement of multiple sensor types. The designs produced by the program in comparison with the designs produced by human experts are discussed. 5 refs., 8 figs., 1 tab.

  18. Expert System Software Assistant for Payload Operations

    NASA Technical Reports Server (NTRS)

    Rogers, Mark N.

    1997-01-01

    The broad objective of this expert system software based application was to demonstrate the enhancements and cost savings that can be achieved through expert system software utilization in a spacecraft ground control center. Spacelab provided a valuable proving ground for this advanced software technology; a technology that will be exploited and expanded for future ISS operations. Our specific focus was on demonstrating payload cadre command and control efficiency improvements through the use of "smart" software which monitors flight telemetry, provides enhanced schematic-based data visualization, and performs advanced engineering data analysis.

  19. Expert systems for performance review.

    PubMed

    Bowen, T; Payling, L

    1987-10-01

    A microcomputer-based expert system to interpret hospital and community health service data is described. The system analyses performance indicators, which are key statistics describing levels of achievement in terms both of policy objectives and efficiency. The system is being used to support annual performance reviews of English health authorities. The potential for application of similar systems is discussed.

  20. Coupling expert systems and simulation

    NASA Technical Reports Server (NTRS)

    Kawamura, K.; Beale, G.; Padalkar, S.; Rodriguez-Moscoso, J.; Hsieh, B. J.; Vinz, F.; Fernandez, K. R.

    1988-01-01

    A prototype coupled system called NESS (NASA Expert Simulation System) is described. NESS assists the user in running digital simulations of dynamic systems, interprets the output data to performance specifications, and recommends a suitable series compensator to be added to the simulation model.

  1. Nickel cadmium battery expert system

    NASA Technical Reports Server (NTRS)

    1986-01-01

    The applicability of artificial intelligence methodologies for the automation of energy storage management, in this case, nickel cadmium batteries, is demonstrated. With the Hubble Space Telescope Electrical Power System (HST/EPS) testbed as the application domain, an expert system was developed which incorporates the physical characterization of the EPS, in particular, the nickel cadmium batteries, as well as the human's operational knowledge. The expert system returns not only fault diagnostics but also status and advice along with justifications and explanations in the form of decision support.

  2. Nickel cadmium battery expert system

    NASA Astrophysics Data System (ADS)

    1986-11-01

    The applicability of artificial intelligence methodologies for the automation of energy storage management, in this case, nickel cadmium batteries, is demonstrated. With the Hubble Space Telescope Electrical Power System (HST/EPS) testbed as the application domain, an expert system was developed which incorporates the physical characterization of the EPS, in particular, the nickel cadmium batteries, as well as the human's operational knowledge. The expert system returns not only fault diagnostics but also status and advice along with justifications and explanations in the form of decision support.

  3. Performance Engineering as an Expert System.

    ERIC Educational Resources Information Center

    Harmon, Paul

    1984-01-01

    Considers three powerful techniques--heuristics, context trees, and search via backward chaining--that a knowledge engineer might employ to develop an expert system to automate performance engineering, i.e., the branch of instructional technology that focuses on the problems of business and industry. (MBR)

  4. EXPERT SYSTEMS SHOW PROMISE FOR CUSTOMER INQUIRIES

    EPA Science Inventory

    This article describes results of an agreement between the North Penn Water Authority in Lansdale, Pa., and the US Environmental Protection Agency, Drinking Water Research Division, Cincinnati, Ohio, to study use of expert systems technology in a water utility. The threeyear stud...

  5. Expert Systems for Reference Work.

    ERIC Educational Resources Information Center

    Parrot, James R.

    1986-01-01

    Discussion of library reference work that may be suitable for use of expert systems focuses on (1) information and literature searches, and (2) requests to interpret bibliographic references and locate items listed. Systems and computer-assisted instruction modules designed for information retrieval at the University of Waterloo Library are…

  6. Expert systems in government symposium

    SciTech Connect

    Karna, K.N.

    1985-01-01

    This book presents the papers given at a symposium on various applications of expert systems. Topics considered at the symposium included knowledge-based reasoning, new directions in knowledge acquisition, software, programming languages, systems engineering, intelligent information retrieval, reactor safety assessment, medical applications, uncertainty management, algorithms, parallel processing, and artificial intelligence.

  7. The Living Expert System (LEXSYS)

    DTIC Science & Technology

    1988-05-12

    LEXSYS Living ~ ARMY SENIORSy tn LEADER DECISION MAKING TOOL FOR U.S. ARMY WAR COLLEGE CARLISLE BARRACKS, PA 17013-5050 VOL. I DISTRIUIn= STATDIIII...for open publication until It has been cleared by the appropriate mUlitav service or government agency. THE LIVING EXPERT SYSTEM A GROUP STUDY PROJECT...LTC, AR R. A. Pomager, Jr., LTC, MP E. R. Ruff, LTC, EN J. D. Tolleson, LTC, QM TITLE: The Living Expert System FORMAT: Group Study DATE: 1 May 1988

  8. Robotic planner expert system (RPLANES)

    NASA Technical Reports Server (NTRS)

    Grice, Ervin Oneal

    1987-01-01

    The Artificial Intelligence Section of the Mission Planning and Analysis of the Johnson Space Center has developed a prototype of an expert system for robotic planning. A robot is given a high level goal to perform an action (i.e., swap, adjust, or stow) on a component unit of an object such as a satellite and the Robotic Planner Expert System (RPLANES) generates the necessary goals for arm actions. RPLANES is designed using the Inference Corp. Automated Reasoning Tool (ART) development tool. It resides on a SYMBOLICS 3670. RPLANES and its evolution are described.

  9. Towards a science of expert systems

    NASA Technical Reports Server (NTRS)

    Denning, P. J.

    1986-01-01

    Developments in the field of AI are discussed. The components and applications of expert systems, which are computer systems designed to simulate the problem-solving behavior of a person expert in a narrow field, are examined. Two types of expert systems, shallow and deep, are described and examples are given. A logic programming system, rule-based system, and framed-based system are utilized as means of representing the expert system's data base. The limitations of expert systems are considered.

  10. Weather forecasting expert system study

    NASA Technical Reports Server (NTRS)

    1985-01-01

    Weather forecasting is critical to both the Space Transportation System (STS) ground operations and the launch/landing activities at NASA Kennedy Space Center (KSC). The current launch frequency places significant demands on the USAF weather forecasters at the Cape Canaveral Forecasting Facility (CCFF), who currently provide the weather forecasting for all STS operations. As launch frequency increases, KSC's weather forecasting problems will be great magnified. The single most important problem is the shortage of highly skilled forecasting personnel. The development of forecasting expertise is difficult and requires several years of experience. Frequent personnel changes within the forecasting staff jeopardize the accumulation and retention of experience-based weather forecasting expertise. The primary purpose of this project was to assess the feasibility of using Artificial Intelligence (AI) techniques to ameliorate this shortage of experts by capturing aria incorporating the forecasting knowledge of current expert forecasters into a Weather Forecasting Expert System (WFES) which would then be made available to less experienced duty forecasters.

  11. Expert systems technology applied to instrument operation and data acquisition of a triple quadrupole mass spectrometer (TQMS)

    SciTech Connect

    Wong, C.M.

    1984-01-01

    This presentation covers the work done at Lawrence Livermore National Laboratory by some computer programmers and analytical chemists specializing in mass spectrometry to develop an expert system for real-time tuning and optimization of operations of a triple quadrupole mass spectrometer (TQMS). This capability is important to increase the sensitivity possible for selected compounds throughout the entire mass range of the instrument, rather than settling for the traditional normalized calibration which lowers sensitivity at both ends of the mass scale.

  12. ART-Ada: An Ada-based expert system tool

    NASA Technical Reports Server (NTRS)

    Lee, S. Daniel; Allen, Bradley P.

    1991-01-01

    The Department of Defense mandate to standardize on Ada as the language for software systems development has resulted in increased interest in making expert systems technology readily available in Ada environments. NASA's Space Station Freedom is an example of the large Ada software development projects that will require expert systems in the 1990's. Another large scale application that can benefit from Ada based expert system tool technology is the Pilot's Associate (PA) expert system project for military combat aircraft. Automated Reasoning Tool (ART) Ada, an Ada Expert system tool is described. ART-Ada allow applications of a C-based expert system tool called ART-IM to be deployed in various Ada environments. ART-Ada is being used to implement several prototype expert systems for NASA's Space Station Freedom Program and the U.S. Air Force.

  13. ART-Ada: An Ada-based expert system tool

    NASA Technical Reports Server (NTRS)

    Lee, S. Daniel; Allen, Bradley P.

    1990-01-01

    The Department of Defense mandate to standardize on Ada as the language for software systems development has resulted in an increased interest in making expert systems technology readily available in Ada environments. NASA's Space Station Freedom is an example of the large Ada software development projects that will require expert systems in the 1990's. Another large scale application that can benefit from Ada based expert system tool technology is the Pilot's Associate (PA) expert system project for military combat aircraft. The Automated Reasoning Tool-Ada (ART-Ada), an Ada expert system tool, is explained. ART-Ada allows applications of a C-based expert system tool called ART-IM to be deployed in various Ada environments. ART-Ada is being used to implement several prototype expert systems for NASA's Space Station Freedom program and the U.S. Air Force.

  14. An expert system for astronaut scientists

    NASA Technical Reports Server (NTRS)

    Young, L. R.

    1991-01-01

    A novel application of expert system technology is developed for real-time advice to an astronaut during the performance of a crew intensive experiment. The provision of an on-board computer expert, containing much of the reasoning base of the real Principal Investigator, will permit the astronaut to act more as a scientist co-worker in future Spacelab and Space Station missions. The long duration of flight increments and the large number of experiments envisioned for Space Station Freedom make the increase in astronaut productivity particularly valuable. A first version of the system was evaluated on the ground during the recent Spacelab SLS-1 flight.

  15. Expert System Development Methodology (ESDM)

    NASA Technical Reports Server (NTRS)

    Sary, Charisse; Gilstrap, Lewey; Hull, Larry G.

    1990-01-01

    The Expert System Development Methodology (ESDM) provides an approach to developing expert system software. Because of the uncertainty associated with this process, an element of risk is involved. ESDM is designed to address the issue of risk and to acquire the information needed for this purpose in an evolutionary manner. ESDM presents a life cycle in which a prototype evolves through five stages of development. Each stage consists of five steps, leading to a prototype for that stage. Development may proceed to a conventional development methodology (CDM) at any time if enough has been learned about the problem to write requirements. ESDM produces requirements so that a product may be built with a CDM. ESDM is considered preliminary because is has not yet been applied to actual projects. It has been retrospectively evaluated by comparing the methods used in two ongoing expert system development projects that did not explicitly choose to use this methodology but which provided useful insights into actual expert system development practices and problems.

  16. A New Approach to Expert System Explanations

    DTIC Science & Technology

    1998-08-01

    Expert systems were one of the first applications to emerge from initial research in artificial intelligence, and the explanation of expert system reasoning...desirable functionality in expert systems, natural language generation has not taken a central place in contemporary expert system development. For...present a new approach to enhancing an expert system with an explanation facility. The approach comprises both software components and a methodology for

  17. Online-Expert: An Expert System for Online Database Selection.

    ERIC Educational Resources Information Center

    Zahir, Sajjad; Chang, Chew Lik

    1992-01-01

    Describes the design and development of a prototype expert system called ONLINE-EXPERT that helps users select online databases and vendors that meet users' needs. Search strategies are discussed; knowledge acquisition and knowledge bases are described; and the Analytic Hierarchy Process (AHP), a decision analysis technique that ranks databases,…

  18. Intelligent interfaces for expert systems

    NASA Technical Reports Server (NTRS)

    Villarreal, James A.; Wang, Lui

    1988-01-01

    Vital to the success of an expert system is an interface to the user which performs intelligently. A generic intelligent interface is being developed for expert systems. This intelligent interface was developed around the in-house developed Expert System for the Flight Analysis System (ESFAS). The Flight Analysis System (FAS) is comprised of 84 configuration controlled FORTRAN subroutines that are used in the preflight analysis of the space shuttle. In order to use FAS proficiently, a person must be knowledgeable in the areas of flight mechanics, the procedures involved in deploying a certain payload, and an overall understanding of the FAS. ESFAS, still in its developmental stage, is taking into account much of this knowledge. The generic intelligent interface involves the integration of a speech recognizer and synthesizer, a preparser, and a natural language parser to ESFAS. The speech recognizer being used is capable of recognizing 1000 words of connected speech. The natural language parser is a commercial software package which uses caseframe instantiation in processing the streams of words from the speech recognizer or the keyboard. The systems configuration is described along with capabilities and drawbacks.

  19. Intelligent interfaces for expert systems

    NASA Technical Reports Server (NTRS)

    Villarreal, James A.; Wang, Lui

    1988-01-01

    Vital to the success of an expert system is an interface to the user which performs intelligently. A generic intelligent interface is being developed for expert systems. This intelligent interface was developed around the in-house developed Expert System for the Flight Analysis System (ESFAS). The Flight Analysis System (FAS) is comprised of 84 configuration controlled FORTRAN subroutines that are used in the preflight analysis of the space shuttle. In order to use FAS proficiently, a person must be knowledgeable in the areas of flight mechanics, the procedures involved in deploying a certain payload, and an overall understanding of the FAS. ESFAS, still in its developmental stage, is taking into account much of this knowledge. The generic intelligent interface involves the integration of a speech recognizer and synthesizer, a preparser, and a natural language parser to ESFAS. The speech recognizer being used is capable of recognizing 1000 words of connected speech. The natural language parser is a commercial software package which uses caseframe instantiation in processing the streams of words from the speech recognizer or the keyboard. The systems configuration is described along with capabilities and drawbacks.

  20. Psychology of developing and designing expert systems

    SciTech Connect

    Tonn, B.; MacGregor, D.

    1986-01-01

    This paper discusses psychological problems relevant to developing and designing expert systems. With respect to the former, the psychological literature suggests that several cognitive biases may affect the elicitation of a valid knowledge base from the expert. The literature also suggests that common expert system inference engines may be quite inconsistent with reasoning heuristics employed by experts. With respect to expert system user interfaces, care should be taken when eliciting uncertainty estimates from users, presenting system conclusions, and ordering questions.

  1. Expert systems in agriculture and resource management

    SciTech Connect

    Plant, R.E.

    1993-05-01

    This paper gives a description of some representative examples of expert systems applied to problems in agriculture and biological resource management. The discussion of agricultural expert systems focuses on several decision support systems for crop management, describing the systems themselves and the implementation efforts surrounding them. The examples of the application of expert systems to biological resource management focus on the integration of expert systems with geographic information systems. A description of some of the more recent developments in agricultural expert systems, still in the prototype stage, is then given, followed by a summary discussion of possible environmental implications of the use of expert systems in agriculture and resource management. 63 refs.

  2. The application of expert systems to process control

    NASA Astrophysics Data System (ADS)

    Wu, Bevan P. F.

    1991-01-01

    An expert system is a computer software technology developed from artificial intelligence research. It may be used for intelligent manufacturing process control and, when properly designed, has the capability to imitate human behavior. An expert system's value is to assist a human in executing realtime process control decisions in a complex system. This article provides an introduction to the concepts of intelligent process control and includes a process control scenario applying an expert system as well as statistical and optimization technologies. A simple guide of how to get started and a description of expert system tools are also presented.

  3. SENSAT(C) prototype expert system

    NASA Astrophysics Data System (ADS)

    Lavender, Joseph A.

    1994-06-01

    The Sensor Satellite Expert System (SENSAT)TM is an application of the concurrent engineering simulation methodology which utilizes fuzzy logic in an object-oriented programming environment. Several unique characteristics of SENSAT includes the implementation team, mission system parameters, and priority optimization with respect to mission, cost, schedule, technology, and funding levels. SENSAT operates within a WINDOWSTM environment and a `simulation tour' is included in this paper along with a video to be shown with an actual SENSAT prototype simulation.

  4. Expert System for ASIC Imaging

    NASA Astrophysics Data System (ADS)

    Gupta, Shri N.; Arshak, Khalil I.; McDonnell, Pearse; Boyce, Conor; Duggan, Andrew

    1989-07-01

    With the developments in the techniques of artificial intelligence over the last few years, development of advisory, scheduling and similar class of problems has become very convenient using tools such as PROLOG. In this paper an expert system has been described which helps lithographers and process engineers in several ways. The methodology used is to model each work station according to its input, output and control parameters, combine these work stations in a logical sequence based on past experience and work out process schedule for a job. In addition, all the requirements vis-a-vis a particular job parameters are converted into decision rules. One example is the exposure time, develop time for a wafer with different feature sizes would be different. This expert system has been written in Turbo Prolog. By building up a large number of rules, one can tune the program to any facility and use it for as diverse applications as advisory help, trouble shooting etc. Leitner (1) has described an advisory expert system that is being used at National Semiconductor. This system is quite different from the one being reported in the present paper. The approach is quite different for one. There is stress on job flow and process for another.

  5. Heat exchanger expert system logic

    NASA Technical Reports Server (NTRS)

    Cormier, R.

    1988-01-01

    The reduction is described of the operation and fault diagnostics of a Deep Space Network heat exchanger to a rule base by the application of propositional calculus to a set of logic statements. The value of this approach lies in the ease of converting the logic and subsequently implementing it on a computer as an expert system. The rule base was written in Process Intelligent Control software.

  6. Linking medical records to an expert system

    NASA Technical Reports Server (NTRS)

    Naeymi-Rad, Frank; Trace, David; Desouzaalmeida, Fabio

    1991-01-01

    This presentation will be done using the IMR-Entry (Intelligent Medical Record Entry) system. IMR-Entry is a software program developed as a front-end to our diagnostic consultant software MEDAS (Medical Emergency Decision Assistance System). MEDAS (the Medical Emergency Diagnostic Assistance System) is a diagnostic consultant system using a multimembership Bayesian design for its inference engine and relational database technology for its knowledge base maintenance. Research on MEDAS began at the University of Southern California and the Institute of Critical Care in the mid 1970's with support from NASA and NSF. The MEDAS project moved to Chicago in 1982; its current progress is due to collaboration between Illinois Institute of Technology, The Chicago Medical School, Lake Forest College and NASA at KSC. Since the purpose of an expert system is to derive a hypothesis, its communication vocabulary is limited to features used by its knowledge base. The development of a comprehensive problem based medical record entry system which could handshake with an expert system while creating an electronic medical record at the same time was studied. IMR-E is a computer based patient record that serves as a front end to the expert system MEDAS. IMR-E is a graphically oriented comprehensive medical record. The programs major components are demonstrated.

  7. Expert Witness: A system for developing expert medical testimony

    NASA Technical Reports Server (NTRS)

    Lewandowski, Raymond; Perkins, David; Leasure, David

    1994-01-01

    Expert Witness in an expert system designed to assist attorneys and medical experts in determining the merit of medical malpractice claims in the area of obstetrics. It substitutes the time of the medical expert with the time of a paralegal assistant guided by the expert system during the initial investigation of the medical records and patient interviews. The product of the system is a narrative transcript containing important data, immediate conclusions from the data, and overall conclusions of the case that the attorney and medical expert use to make decisions about whether and how to proceed with the case. The transcript may also contain directives for gathering additional information needed for the case. The system is a modified heuristic classifier and is implemented using over 600 CLIPS rules together with a C-based user interface. The data abstraction and solution refinement are implemented directly using forward chaining production and matching. The use of CLIPS and C is essential to delivering a system that runs on a generic PC platform. The direct implementation in CLIPS together with locality of inference ensures that the system will scale gracefully. Two years of use has revealed no errors in the reasoning.

  8. Cataloging Expert Systems: Optimism and Frustrated Reality.

    ERIC Educational Resources Information Center

    Olmstadt, William J.

    2000-01-01

    Discusses artificial intelligence and attempts to catalog expert systems. Topics include the nature of expertise; examples of cataloging expert systems; barriers to implementation; and problems, including total automation, cataloging expertise, priorities, and system design. (LRW)

  9. Cataloging Expert Systems: Optimism and Frustrated Reality.

    ERIC Educational Resources Information Center

    Olmstadt, William J.

    2000-01-01

    Discusses artificial intelligence and attempts to catalog expert systems. Topics include the nature of expertise; examples of cataloging expert systems; barriers to implementation; and problems, including total automation, cataloging expertise, priorities, and system design. (LRW)

  10. Expert Systems and Intelligent Information Retrieval.

    ERIC Educational Resources Information Center

    Brooks, H. M.

    1987-01-01

    Explores what an intelligent information retrieval system involves and why expert system techniques might interest system designers. Expert systems research is reviewed with emphasis on components, architecture, and computer interaction, and it is concluded that information retrieval is not an ideal problem domain for expert system application at…

  11. Expert system for groundwater modeling

    SciTech Connect

    Venoge, T.P. de; Stauffer, T.B.; Medina, M.; Jacobs, T.

    1994-12-31

    Hazardous waste site remedial investigations and feasibility studies generally involve some degree of groundwater modeling. A plethora of models exist and most models are difficult to use. An expert system has been developed to lead the user to the appropriate model(s) based on responses to questions about site conditions and data availability. The system is menu driven, user friendly, and provides assistance in estimating input parameters where field measurements are lacking. The system contains twelve models, both analytical and numerical models, that are in the public domain. Some of the models included in the system are MOC, MODFLOW, BIOPLUME, RESSQ, TDAST and PLUME2D. Preprocessors and post processors have been written to permit easy data input and to provide understandable and interpretable data output. There are two versions of the expert system that are available. One version is a UNIX based system that works through the windows environment and provides excellent graphics capabilities. The other version is DOS based and will run on a 386 processor or higher system with 10 megabytes of available hard disk space.

  12. The power distance between users of information technology and experts and satisfaction with the information system: implication for cross cultural transfer of IT.

    PubMed

    Isaacs, S

    2001-01-01

    There is a need for research into Information Technology (IT) transfer from one culture to another. Two of the more important cultural factors which affects IT transfer are power distance and uncertainty avoidance. The IT expert, by virtue of specialized knowledge is in a position of power. The user of information technology may or may not accept the authority of the IT professional. When the user and the expert is in agreement on the issue of power-distance the IT systems provided will be viewed in a more positive light. This hypothesis is tested and confirmed in the present study. A list of twelve statements expressing special IT knowledge and authority was constructed and a sample of IT experts and users were asked to rate their level of agreement with these on a scale 0 to 5. The simple sum of respondent rating was used as a measure of acceptance of IT authority and power. Users were also asked to rate their level of satisfaction with the progress of a new Hospital Information System been implemented. The IT acceptance score of users who were satisfied with implementation progress did not differ from IT personnel but differed significantly from users who were not satisfied with progress. This study has implications for cross culture transfer of IT.

  13. Knowledge acquisition for expert systems

    SciTech Connect

    Hart, A.

    1986-01-01

    This guide examines the process, the models, and the techniques used by those involved in the development of expert systems for commerce and industry. The author demonstrates procedures, describes approaches, and emphasizes knowledge elicitation, interviewing, and transcript analysis. The book covers aspects such as the roles of the systems analyst and the knowledge engineer; reasoning and probability theory, including statistical tests, correlation, and the Bayes theorem; fuzziness in reasoning; the advantages and the limitations of machine induction; and the repertory grid. Case studies are used to clarify and supplement discussions.

  14. Fuzzy expert systems using CLIPS

    NASA Technical Reports Server (NTRS)

    Le, Thach C.

    1994-01-01

    This paper describes a CLIPS-based fuzzy expert system development environment called FCLIPS and illustrates its application to the simulated cart-pole balancing problem. FCLIPS is a straightforward extension of CLIPS without any alteration to the CLIPS internal structures. It makes use of the object-oriented and module features in CLIPS version 6.0 for the implementation of fuzzy logic concepts. Systems of varying degrees of mixed Boolean and fuzzy rules can be implemented in CLIPS. Design and implementation issues of FCLIPS will also be discussed.

  15. Interfaces and Expert Systems for Online Retrieval.

    ERIC Educational Resources Information Center

    Kehoe, Cynthia A.

    1985-01-01

    This paper reviews the history of separate online system interfaces which led to efforts to develop expert systems for searching databases, particularly for end users, and introduces the research on such expert systems. Appended is a bibliography of sources on interfaces and expert systems for online retrieval. (Author/EJS)

  16. Expert System Prototype for False Event Discrimination.

    DTIC Science & Technology

    1985-11-14

    This report discusses a prototype expert system for event discrimination. We wanted to determine whether applying an expert system to handle and...other potential sources of erroneous information. The expert system is an apt vehicle for growth of systems knowledge, for quick decision making, and

  17. An Expert System for Learning the National Electric Code

    DTIC Science & Technology

    1989-09-01

    The purpose of this research was to apply hypertext and expert system technology to the National Electric Code to assist with learning and using the...code’s large quantity of text. Hypertext brings to the expert system a very quick and efficient way of viewing and moving through the code. The user...controls the direction taken based on their selection of a hypertext path. The expert system , through a series of exercises, provides the training

  18. Expert systems for real-time monitoring and fault diagnosis

    NASA Technical Reports Server (NTRS)

    Edwards, S. J.; Caglayan, A. K.

    1989-01-01

    Methods for building real-time onboard expert systems were investigated, and the use of expert systems technology was demonstrated in improving the performance of current real-time onboard monitoring and fault diagnosis applications. The potential applications of the proposed research include an expert system environment allowing the integration of expert systems into conventional time-critical application solutions, a grammar for describing the discrete event behavior of monitoring and fault diagnosis systems, and their applications to new real-time hardware fault diagnosis and monitoring systems for aircraft.

  19. Expert system validation in prolog

    NASA Technical Reports Server (NTRS)

    Stock, Todd; Stachowitz, Rolf; Chang, Chin-Liang; Combs, Jacqueline

    1988-01-01

    An overview of the Expert System Validation Assistant (EVA) is being implemented in Prolog at the Lockheed AI Center. Prolog was chosen to facilitate rapid prototyping of the structure and logic checkers and since February 1987, we have implemented code to check for irrelevance, subsumption, duplication, deadends, unreachability, and cycles. The architecture chosen is extremely flexible and expansible, yet concise and complementary with the normal interactive style of Prolog. The foundation of the system is in the connection graph representation. Rules and facts are modeled as nodes in the graph and arcs indicate common patterns between rules. The basic activity of the validation system is then a traversal of the connection graph, searching for various patterns the system recognizes as erroneous. To aid in specifying these patterns, a metalanguage is developed, providing the user with the basic facilities required to reason about the expert system. Using the metalanguage, the user can, for example, give the Prolog inference engine the goal of finding inconsistent conclusions among the rules, and Prolog will search the graph intantiations which can match the definition of inconsistency. Examples of code for some of the checkers are provided and the algorithms explained. Technical highlights include automatic construction of a connection graph, demonstration of the use of metalanguage, the A* algorithm modified to detect all unique cycles, general-purpose stacks in Prolog, and a general-purpose database browser with pattern completion.

  20. Expert system for liquid low-level waste management

    SciTech Connect

    Ferrada, J.J.

    1992-05-01

    An expert system prototype has been developed to support system analysis activities at the Oak Ridge National Laboratory (ORNL) for waste management tasks. This expert system will aid in prioritizing radioactive waste streams for treatment and disposal by evaluating the severity and treatability of the problem as well as the final waste form. The objectives of the expert system development included: (1) collecting information on process treatment technologies for liquid low-level waste (LLLW) that can be incorporated in the knowledge base of the expert system, and (2) producing a prototype that suggests processes and disposal technologies for the ORNL LLLW system. The concept under which the expert system has been designed is integration of knowledge. There are many sources of knowledge (data bases, text files, simulation programs, etc.) that an expert would regularly consult in order to solve a problem of liquid waste management. The expert would normally know how to extract the information from these different sources of knowledge. The general scope of this project would be to include as much pertinent information as possible within the boundaries of the expert system. As a result, the user, who may not be an expert in every aspect of liquid waste management, may be able to apply the content of the information to a specific waste problem. This paper gives the methodological steps to develop the expert system under this general framework.

  1. Expert system for liquid low-level waste management

    SciTech Connect

    Ferrada, J.J.

    1992-01-01

    An expert system prototype has been developed to support system analysis activities at the Oak Ridge National Laboratory (ORNL) for waste management tasks. This expert system will aid in prioritizing radioactive waste streams for treatment and disposal by evaluating the severity and treatability of the problem as well as the final waste form. The objectives of the expert system development included: (1) collecting information on process treatment technologies for liquid low-level waste (LLLW) that can be incorporated in the knowledge base of the expert system, and (2) producing a prototype that suggests processes and disposal technologies for the ORNL LLLW system. The concept under which the expert system has been designed is integration of knowledge. There are many sources of knowledge (data bases, text files, simulation programs, etc.) that an expert would regularly consult in order to solve a problem of liquid waste management. The expert would normally know how to extract the information from these different sources of knowledge. The general scope of this project would be to include as much pertinent information as possible within the boundaries of the expert system. As a result, the user, who may not be an expert in every aspect of liquid waste management, may be able to apply the content of the information to a specific waste problem. This paper gives the methodological steps to develop the expert system under this general framework.

  2. Nickel hydrogen battery expert system

    NASA Technical Reports Server (NTRS)

    Shiva, Sajjan G.

    1991-01-01

    The Hubble Telescope Battery Testbed at MSFC uses the Nickel Cadmium (NiCd) Battery Expert System (NICBES-2) which supports the evaluation of performance of Hubble Telescope spacecraft batteries and provides alarm diagnosis and action advice. NICBES-2 provides a reasoning system along with a battery domain knowledge base to achieve this battery health management function. An effort is summarized which was used to modify NICBES-2 to accommodate Nickel Hydrogen (NiH2) battery environment now in MSFC testbed. The NICBES-2 is implemented on a Sun Microsystem and is written in SunOS C and Quintus Prolog. The system now operates in a multitasking environment. NICBES-2 spawns three processes: serial port process (SPP); data handler process (DHP); and the expert system process (ESP) in order to process the telemetry data and provide the status and action advice. NICBES-2 performs orbit data gathering, data evaluation, alarm diagnosis and action advice and status and history display functions. The adaptation of NICBES-2 to work with NiH2 battery environment required modification to all of the three component processes.

  3. Expert System Applications for the Electric Power Industry: Proceedings

    SciTech Connect

    Not Available

    1992-06-01

    A conference on Expert System Applications for the Electric Power Industry was held in Boston on September 8--11, 1991 to provide a forum for technology transfer, technical information exchange, and education. The conference was attended by more than 150 representatives of electric utilities, equipment manufacturers, engineering consulting organizations, universities, national laboratories, and government agencies. The meeting included a keynote address, 70 papers, and 18 expert system demonstrations. Sessions covered expert systems in power system planning operations, fossil power plant applications, nuclear power plant applications, and intelligent user interfaces. The presentations showed how expert systems can provide immediate benefits to the electric power industry in many applications. Individual papers are indexed separately.

  4. Building Expert Systems for Academic Advising.

    ERIC Educational Resources Information Center

    Orwig, Gary W.; And Others

    1992-01-01

    Discussion of the development of an expert system that will serve as the primary advisor for individual course sequencing in a graduate program focuses on the characteristics and selection of an expert system shell (i.e., software that facilitates expert system development). Advantages, disadvantages, and prices of several commercial products are…

  5. Expert systems applied to spacecraft fire safety

    NASA Technical Reports Server (NTRS)

    Smith, Richard L.; Kashiwagi, Takashi

    1989-01-01

    Expert systems are problem-solving programs that combine a knowledge base and a reasoning mechanism to simulate a human expert. The development of an expert system to manage fire safety in spacecraft, in particular the NASA Space Station Freedom, is difficult but clearly advantageous in the long-term. Some needs in low-gravity flammability characteristics, ventilating-flow effects, fire detection, fire extinguishment, and decision models, all necessary to establish the knowledge base for an expert system, are discussed.

  6. Expert System for Mine Burial Prediction

    DTIC Science & Technology

    2007-01-01

    of the mine deployment and environmental conditions. Therefore, a probabilistic predictive structure is appropriate. An expert system that synthesizes...Team for Sea Mine Burial Expert System (ST-SMBES). Further research into the scour portion of the expert system is continuing....predictive performance as well as documentation of the operational shell used by NAVOCEANO to provide input and output connectivity with the expert

  7. Expert System for Test Program Set Fault Candidate Selection

    DTIC Science & Technology

    1989-09-01

    This report describes an application of expert system technology to test program set (TPS) verification and validation. The goals of this project are...Keywords: Expert system , Artificial intelligence, Automatic test equipment (ATE), Test program set (TPS), Automatic test program generation (ATPG), Fault inspection, Verification and validation, TPS acceptance tool.

  8. Selecting an Appropriate Problem for Nursing Expert System Development

    PubMed Central

    Jewell, Jane Ann; Abraham, Ivo L.; Fitzpatrick, Joyce J.

    1987-01-01

    While conceivably there are many domains in nursing practice that could benefit from artificially intelligent decision-support, it is unlikely that such technology could be developed for each of them. The parameters for selection of a problem for expert system development, within the context of artificial intelligence research in nursing, must be followed to ensure practical application of the developed expert system.

  9. Expert system requirements for power system restoration

    SciTech Connect

    Adibi, M.M. ); Kafka, R.J. ); Milanicz, D.P. )

    1994-08-01

    This paper is one of series presented on behalf of the System Operation Subcommittee with the intent of focusing industry attention on power system restoration. Expert systems are being considered for restoring bulk power supplies. In general, there are three restoration periods following a major power disturbance: establishment of initial sources of power, re-integration of a skeleton of the bulk power supply, and minimization of the unserved loads. Expert systems together with analytical tools have the potential of addressing the restoration procedures over these three periods. This paper describes the expert system requirements from the point of view of the practicing power engineers with emphasis placed on the initial power sources and requirements. The paper draws on the previous reports by the Power System Restoration Working Group.

  10. Successful expert systems for space shuttle payload integration

    NASA Technical Reports Server (NTRS)

    Morris, Keith

    1988-01-01

    Expert systems are successfully applied to solve recurring NASA Space Shuttle orbiter payload integration problems. Recurrence of these problems is the result of each Space Shuttle mission being unique. The NASA Space Shuttle orbiter was designed to be extremely flexible in its ability to handle many types and combinations of satellites and experiments. This flexibility results in different and unique engineering resource requirements for each of the payload satellites and experiments. The first successful expert system to be applied to these problems was the Orbiter Payload Bay Cabling Expert System (EXCABL), developed at Rockwell International Space Transportation Systems Division. The operational version of EXCABL was delivered in 1986 and successfully solved the payload electrical support services cabling layout problem. As a result of this success, a second expert system, Expert Drawing Matching System (EXMATCH), was developed to generate a list of the reusable installation drawings available for each EXCABL solution. EXMATCH went operational in 1987. As a result of these initial successes, the need for a third expert system was defined and is awaiting development. This new Expert System, called Technical Order Listing Expert System (EXTOL), will generate a list of all the applicable reusable installation drawings available to support the total payload bay mission provisioning and installation effort. This paper describes these expert systems, the individual problems that they were designed to solve, their individual solutions, and the degree of success achieved. These expert systems' instantiate the applicability of this technology to the solution of real-world Space Shuttle payload integration problems.

  11. Fire Effects, Education, and Expert Systems

    Treesearch

    Robert E. Martin

    1987-01-01

    Predicting the effects of fires in the year 2000 and beyond will be enhanced by the use of expert systems. Although our predictions may have broad confidence limits, expert systems should help us to improve the predictions and to focus on the areas where improved knowledge is most needed. The knowledge of experts can be incorporated into previously existing knowledge...

  12. System and method for creating expert systems

    NASA Technical Reports Server (NTRS)

    Hughes, Peter M. (Inventor); Luczak, Edward C. (Inventor)

    1998-01-01

    A system and method provides for the creation of a highly graphical expert system without the need for programming in code. An expert system is created by initially building a data interface, defining appropriate Mission, User-Defined, Inferred, and externally-generated GenSAA (EGG) data variables whose data values will be updated and input into the expert system. Next, rules of the expert system are created by building appropriate conditions of the rules which must be satisfied and then by building appropriate actions of rules which are to be executed upon corresponding conditions being satisfied. Finally, an appropriate user interface is built which can be highly graphical in nature and which can include appropriate message display and/or modification of display characteristics of a graphical display object, to visually alert a user of the expert system of varying data values, upon conditions of a created rule being satisfied. The data interface building, rule building, and user interface building are done in an efficient manner and can be created without the need for programming in code.

  13. Expert system for tactical data fusion

    SciTech Connect

    Rauch, H.E.; Firschein, O.; Perkins, W.A.; Pecora, V.J.

    1983-01-01

    A computer expert system is a systematic method for representing and manipulating the knowledge and problem solving techniques of human experts. A military computer expert system uses a set of rules (if...Then statements) to represent military doctrine and rules of engagement known by military experts. This paper outlines how an expert system for tactical data fusion can be used to enhance the ability of decision makers in military command and control centers. A simple example system is presented to illustrate the novelties and the pitfalls of the approach. 17 references.

  14. A pressure transient test design expert system

    SciTech Connect

    MacAllister, D.J.; Kamal, M.M. )

    1991-09-01

    This paper describes an expert system for routine field use to optimize pressure transient test design and tool selection. The expert system first interacts with the user to determine the well type (exploration, injection, production, or observation) and then queries the user for such facts as reservoir layering, artificial lift, and fracturing. It sometimes asks clarifying questions for a variety of special cases. At this point, the expert system determines if the test is feasible. If not, the user has the option to quit or to continue test is feasible, the expert system calculates test design parameters using accepted technique from the literature and in-house experts. The expert system queries the user for additional data needed for test design calculations. The expert system produces an optimized test procedure and a list of appropriate tools from a data base supplied with the expert system. The tool data base is accessed by the expert system but maintained separately from the expert system code. This allows updates to the data base without the need for rewriting the expert system code. The user also can save and retrieve input data using another data base, making sensitivity studies easy to perform.

  15. Satellite operations support expert system

    NASA Technical Reports Server (NTRS)

    1985-01-01

    The Satellite Operations Support Expert System is an effort to identify aspects of satellite ground support activity which could profitably be automated with artificial intelligence (AI) and to develop a feasibility demonstration for the automation of one such area. The hydrazine propulsion subsystems (HPS) of the International Sun Earth Explorer (ISEE) and the International Ultraviolet Explorer (IUS) were used as applications domains. A demonstration fault handling system was built. The system was written in Franz Lisp and is currently hosted on a VAX 11/750-11/780 family machine. The system allows the user to select which HPS (either from ISEE or IUE) is used. Then the user chooses the fault desired for the run. The demonstration system generates telemetry corresponding to the particular fault. The completely separate fault handling module then uses this telemetry to determine what and where the fault is and how to work around it. Graphics are used to depict the structure of the HPS, and the telemetry values displayed on the screen are continually updated. The capabilities of this system and its development cycle are described.

  16. System for empirical experimentation with expert knowledge

    SciTech Connect

    Politakis, P.; Weiss, S.M.

    1982-01-01

    SEEK is a system which has been developed to give interactive advice about rule refinement during the design of an expert system. The advice takes the form of suggestions for possible experiments in generalizing or specializing rules in an expert model that has been specified based on reasoning rules cited by the expert. Case experience, in the form of stored cases with known conclusions, is used to interactively guide the expert in refining the rules of a model. The design framework of SEEK consists of a tabular model for expressing expert-modeled rules and a general consultation system for applying a model to specific cases. This approach has proven particularly valuable in assisting the expert in a domain where two diagnoses are difficult to distinguish. Examples are given from an expert consultation system being developed for rheumatology. 12 references.

  17. Testing validation tools on CLIPS-based expert systems

    NASA Technical Reports Server (NTRS)

    Chang, C. L.; Stachowitz, R. A.; Combs, J. B.

    1991-01-01

    The Expert Systems Validation Associate (EVA) is a validation system which was developed at the Lockheed Software Technology Center and Artificial Intelligence Center between 1986 and 1990. EVA is an integrated set of generic tools to validate any knowledge-based system written in any expert system shell such as C Language Integrated Production System (CLIPS), ART, OPS5, KEE, and others. Many validation tools have been built in the EVA system. In this paper, we describe the testing results of applying the EVA validation tools to the Manned Maneuvering Unit (MMU) Fault Diagnosis, Isolation, and Reconfiguration (FDIR) expert system, written in CLIPS, obtained from the NASA Johnson Space Center.

  18. Technology of building an expert system based on a set of quantitative features of tumor cell nuclei for diagnosing breast cancer.

    PubMed

    Kirillov, Vladimir

    2013-06-01

    The technology of building an expert system for diagnosing malignant nature of invasive tumors of the mammary gland based on a set of quantitative features of the cell nuclei has been developed. Its peculiarity was the presence of weighting coefficients in all the features. Quantitative features were obtained by transforming the initial morphometric data with the help of simple (evaluation of mean values and building of histograms) and complex (regression analysis) mathematical operations. The expert system consisted of one-dimensional X-matrix used for investigations and two-dimensional standard S-matrix. The X-matrix elements were assigned for filling with the quantitative features of the studied sample with a nonestablished diagnosis. The S-matrix elements contained threshold values of quantitative features from the system of diagnostic decision criteria for malignant forms of diseases and their weighting coefficients. Threshold values of nuclear features (larger or smaller) were determined taking into account the range of their values in the groups of malignant and benign pathology. Significance of quantitative features in diagnosing diseases has been assessed. The presence of weighting coefficients allowed diagnosing malignant and benign pathology in a quantitative form by the diagnostic index value. Diagnostic index was calculated by the sum of weighting coefficients of features of the studied sample, which fell within the range of system of the S-matrix diagnostic decision criteria. Clinical trials revealed high efficiency of the developed approach while diagnosis of breast cancer invasive forms at a preoperative stage. Copyright © 2012 Wiley Periodicals, Inc.

  19. An expert system for restructurable control

    NASA Technical Reports Server (NTRS)

    Litt, Jonathan

    1988-01-01

    Work in progress on an expert system which restructures and tunes control systems on-line is presented. The expert system coordinates the different methods for redesigning and implementing the control strategies due to system changes. The research is directed toward aircraft and jet engine applications. The implementation is written in LISP and is currently running on a special purpose LISP machine.

  20. Expert system applications in spacecraft subsystem controllers

    NASA Technical Reports Server (NTRS)

    Marshall, Paul F.

    1987-01-01

    As NASA progresses into the development phase of the space station, it recognizes the importance and potential payback of high autonomous spacecraft subsystems. Priorities are presented for embedded expert system enhancements to the automatic control systems of the space station thermal, EVA, and life support systems. The primary emphasis is on top level application areas and development concerns for expert systems.

  1. Statistical Fault Detection & Diagnosis Expert System

    SciTech Connect

    Wegerich, Stephan

    1996-12-18

    STATMON is an expert system that performs real-time fault detection and diagnosis of redundant sensors in any industrial process requiring high reliability. After a training period performed during normal operation, the expert system monitors the statistical properties of the incoming signals using a pattern recognition test. If the test determines that statistical properties of the signals have changed, the expert system performs a sequence of logical steps to determine which sensor or machine component has degraded.

  2. Investigation of multi-user expert systems

    SciTech Connect

    Freeman, M.S.

    1987-01-01

    Expert systems have been developed for a wide variety of problems in many different fields. These applications, however, have mostly been limited to implementations which are single-user, single-session systems. That is, a single user poses a question to the expert system and, over the course of that continuous session, an answer is provided. As expert systems tackle larger real-world problems situations have been encountered in which activities extend over long periods of time and involve many people in the process. This has led to the emergence of a new class of expert systems that differ significantly from those developed heretofore: the multi-user expert system. In constructing an expert system of this type, there are many unique difficulties. There problems are addressed in the context of a multi-user expert system supporting the Analytical Integration of Spacelab Payloads. The approach taken in this research was to build a prototype multi-user expert system to serve as a testbed for investigating the effect of a multiple-user requirement on the design and operation of an expert system.

  3. Expert systems applications for space shuttle payload integration automation

    NASA Technical Reports Server (NTRS)

    Morris, Keith

    1988-01-01

    Expert systems technologies have been and are continuing to be applied to NASA's Space Shuttle orbiter payload integration problems to provide a level of automation previously unrealizable. NASA's Space Shuttle orbiter was designed to be extremely flexible in its ability to accommodate many different types and combinations of satellites and experiments (payloads) within its payload bay. This flexibility results in differnet and unique engineering resource requirements for each of its payloads, creating recurring payload and cargo integration problems. Expert systems provide a successful solution for these recurring problems. The Orbiter Payload Bay Cabling Expert (EXCABL) was the first expert system, developed to solve the electrical services provisioning problem. A second expert system, EXMATCH, was developed to generate a list of the reusable installation drawings available for each EXCABL solution. These successes have proved the applicability of expert systems technologies to payload integration problems and consequently a third expert system is currently in work. These three expert systems, the manner in which they resolve payload problems and how they will be integrated are described.

  4. SENLEX: a sensor layout expert system

    SciTech Connect

    Ward, J.D.; Sena, K.J.

    1986-06-25

    An expert system is under development to carry out intrusion detection sensor placement for physical security systems. Expert systems are computer programs that use symbolic programming techniques to duplicate the reasoning processes of human experts. Because sensitive facilities often require complex, multi-sensor intrusion detection systems, the design rules for achieving high levels of detection performance are not easily transferred to novices. Since these design rules reside in the minds of the individual experts performing the tasks, the need to consolidate this knowledge in a form that is available to others was a driving force in this project. The first phase of this project is described in this paper. It consists of an expert system for sensor placement in a graded clear zone. The program has the capability of handling several different sensor types and of coordinating the placement of multiple sensor types. The designs produced by the program in comparison with the designs produced by human experts are discussed.

  5. Applications of expert systems for satellite autonomy

    NASA Technical Reports Server (NTRS)

    Ciarlo, A.; Donzelli, P.

    1987-01-01

    Some aspects of the on-board application of expert systems in artificial satellites are discussed. The activities of the study, which include the implementation of two prototypes on a dedicated artificial intelligence machine, are described. The general implications of the experience are then discussed. These concern the interrelationship between the expert system and the architecture of the satellite and the expert system's impact on the mission definition phase of the satellite lifecycle. The main obstacles that need to be overcome before operational use of onboard expert systems can take place are discussed.

  6. A software engineering approach to expert system design and verification

    NASA Technical Reports Server (NTRS)

    Bochsler, Daniel C.; Goodwin, Mary Ann

    1988-01-01

    Software engineering design and verification methods for developing expert systems are not yet well defined. Integration of expert system technology into software production environments will require effective software engineering methodologies to support the entire life cycle of expert systems. The software engineering methods used to design and verify an expert system, RENEX, is discussed. RENEX demonstrates autonomous rendezvous and proximity operations, including replanning trajectory events and subsystem fault detection, onboard a space vehicle during flight. The RENEX designers utilized a number of software engineering methodologies to deal with the complex problems inherent in this system. An overview is presented of the methods utilized. Details of the verification process receive special emphasis. The benefits and weaknesses of the methods for supporting the development life cycle of expert systems are evaluated, and recommendations are made based on the overall experiences with the methods.

  7. Expert Systems: An Overview for Teacher-Librarians.

    ERIC Educational Resources Information Center

    Orwig, Gary; Barron, Ann

    1992-01-01

    Provides an overview of expert systems for teacher librarians. Highlights include artificial intelligence and expert systems; the development of the MYCIN medical expert system; rule-based expert systems; the use of expert system shells to develop a specific system; and how to select an appropriate application for an expert system. (11 references)…

  8. Expert systems guide biological phosphorus removal

    SciTech Connect

    Krichten, D.J.; Wilson, K.D.; Tracy, K.D. )

    1991-10-01

    There is a large body of knowledge regarding optimum control strategies for new secondary wastewater treatment technology using an anaerobic selector to provide biological phosphorus removal. However, because the selector technology is new and the concepts differ somewhat from those used in conventional activated sludge wastewater treatment, a method of communicating this knowledge to plant operators is needed. Traditional methods such as classroom training and operating manuals are of limited effectiveness. The commonplace availability and low cost of the personal computer (PC) makes it practical to use a computer program to communicate the type of information required to control a wastewater treatment plant. Knowledge-based systems technology, commonly referred to as expert systems (ES) technology, is easy to use, provides useful information regarding a consistent control strategy, relieves the anxiety associated with learning a new process,' and provides instruction for inexperienced personnel. ES technology does not require special formatted input and is therefore easily accessible. All information required by the program is readily available through routine laboratory analysis, common plant instrumentation, or direct user observation. The program was designed for all levels of computer users and will run on all IBM-compatible or Apple MacIntosh systems.

  9. Genetic algorithm testbed for expert system testing. Final report

    SciTech Connect

    Roache, E.

    1996-01-01

    In recent years, the electric utility industry has developed advisory and control software that makes use of expert system technology. The validation of the underlying knowledge representation in these expert systems is critical to their success. Most expert systems currently deployed have been validated by certifying that the expert system provides appropriate conclusions for specific test cases. While this type of testing is important, it does not test cases where unexpected inputs are presented to the expert system and potential errors are exposed. Exhaustive testing is not typically an option due to the complexity of the knowledge representation and the combinatorial effects associated with checking all possible inputs through all possible execution paths. Genetic algorithms are general purpose search techniques modeled on natural adaptive systems and selective breeding methods. Genetic algorithms have been used successfully for parameter optimization and efficient search. The goal of this project was to confirm or reject the hypothesis that genetic algorithms (GAs) are useful in expert system validation. The GA system specifically targeted errors in the study`s expert system that would be exposed by unexpected input cases. The GA system found errors in the expert system and the hypothesis was confirmed. This report describes the process and results of the project.

  10. An Expert System for Shipboard Maintenance

    DTIC Science & Technology

    1990-09-01

    manuals are often difficult to find, maintain, and store, and guides are not easily followed. An expert system for troubleshooting could improve current...integrity of the expert system program. A prototype system for troubleshooting the NAXI 100-2 Low Pressure Air Compressor was developed to illustrate the

  11. Expert systems relations in space applications

    NASA Technical Reports Server (NTRS)

    Brady, Michael

    1987-01-01

    The problem of expert systems relations as they pertain to space applications is discussed. First, these systems are categorized and the relationships between them are analyzed. Then, the expert systems cooperation paradigm is proposed. This paradigm addresses various types of communication and coordination issues in an attempt to create a general model applicable in a number of situations.

  12. Fuzzy expert system for diagnosing diabetic neuropathy.

    PubMed

    Rahmani Katigari, Meysam; Ayatollahi, Haleh; Malek, Mojtaba; Kamkar Haghighi, Mehran

    2017-02-15

    To design a fuzzy expert system to help detect and diagnose the severity of diabetic neuropathy. The research was completed in 2014 and consisted of two main phases. In the first phase, the diagnostic parameters were determined based on the literature review and by investigating specialists' perspectives (n = 8). In the second phase, 244 medical records related to the patients who were visited in an endocrinology and metabolism research centre during the first six months of 2014 and were primarily diagnosed with diabetic neuropathy, were used to test the sensitivity, specificity, and accuracy of the fuzzy expert system. The final diagnostic parameters included the duration of diabetes, the score of a symptom examination based on the Michigan questionnaire, the score of a sign examination based on the Michigan questionnaire, the glycolysis haemoglobin level, fasting blood sugar, blood creatinine, and albuminuria. The output variable was the severity of diabetic neuropathy which was shown as a number between zero and 10, had been divided into four categories: absence of the disease, (the degree of severity) mild, moderate, and severe. The interface of the system was designed by ASP.Net (Active Server Pages Network Enabled Technology) and the system function was tested in terms of sensitivity (true positive rate) (89%), specificity (true negative rate) (98%), and accuracy (a proportion of true results, both positive and negative) (93%). The system designed in this study can help specialists and general practitioners to diagnose the disease more quickly to improve the quality of care for patients.

  13. System control module diagnostic Expert Assistant

    NASA Technical Reports Server (NTRS)

    Flores, Luis M.; Hansen, Roger F.

    1990-01-01

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

  14. System control module diagnostic Expert Assistant

    NASA Technical Reports Server (NTRS)

    Flores, Luis M.; Hansen, Roger F.

    1990-01-01

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

  15. Monitoring Pharmacy Expert System Performance Using Statistical Process Control Methodology

    PubMed Central

    Doherty, Joshua A.; Reichley, Richard M.; Noirot, Laura A.; Resetar, Ervina; Hodge, Michael R.; Sutter, Robert D.; Dunagan, Wm Claiborne; Bailey, Thomas C.

    2003-01-01

    Automated expert systems provide a reliable and effective way to improve patient safety in a hospital environment. Their ability to analyze large amounts of data without fatigue is a decided advantage over clinicians who perform the same tasks. As dependence on expert systems increase and the systems become more complex, it is important to closely monitor their performance. Failure to generate alerts can jeopardize the health and safety of patients, while generating excessive false positives can cause valid alerts to be dismissed as noise. In this study, statistical process control charts were used to monitor an expert system, and the strengths and weaknesses of this technology are presented. PMID:14728163

  16. Development of expert systems as on-line power system operational aids: Final report

    SciTech Connect

    Liu, C.C.; Damborg, M.J.

    1988-02-01

    Expert systems technologies, including hardware and software, have become mature in the last several years. A properly designed expert system can incorporate the expertise of experienced engineers and duplicate human decision-making processes accurately. The purpose of this research is to demonstrate the feasibility of expert system applications in a power system control center environment. In this project, an expert system was developed which serves as a power system dispatchers' assistant during the fault isolation and load restoration process. Results of the expert system development work are provided in this report. The accuracy and efficiency of the developed expert system was validated by utility dispatchers thereby demonstrating the feasibility of the expert system approach. This report includes the evaluation method used and the simultion results as well as a detailed plan for the implementation of expert systems in a real-world control center. 25 refs., 18 figs., 7 tabs.

  17. Expert Systems: Artificial Intelligence for Professional Decisions.

    ERIC Educational Resources Information Center

    Schoech, Dick; And Others

    1985-01-01

    Describes expert systems which are computer programs which use inference schemes to apply generalized human expertise to the facts of a specific case. Basic concepts, potentials and implications are presented along with the issues involved in their development and use. A simple expert system, written in BASIC, is included to illustrate the…

  18. Expert system for analyzing eddy current measurements

    DOEpatents

    Levy, Arthur J.; Oppenlander, Jane E.; Brudnoy, David M.; Englund, James M.; Loomis, Kent C.

    1994-01-01

    A method and apparatus (called DODGER) analyzes eddy current data for heat exchanger tubes or any other metallic object. DODGER uses an expert system to analyze eddy current data by reasoning with uncertainty and pattern recognition. The expert system permits DODGER to analyze eddy current data intelligently, and obviate operator uncertainty by analyzing the data in a uniform and consistent manner.

  19. Expert System Detects Power-Distribution Faults

    NASA Technical Reports Server (NTRS)

    Walters, Jerry L.; Quinn, Todd M.

    1994-01-01

    Autonomous Power Expert (APEX) computer program is prototype expert-system program detecting faults in electrical-power-distribution system. Assists human operators in diagnosing faults and deciding what adjustments or repairs needed for immediate recovery from faults or for maintenance to correct initially nonthreatening conditions that could develop into faults. Written in Lisp.

  20. Expert system for analyzing eddy current measurements

    SciTech Connect

    Levy, A.J.; Oppenlander, J.E.; Brudnoy, D.M.; Englund, J.M.; Loomis, K.C.

    1994-08-16

    A method and apparatus (called DODGER) analyzes eddy current data for heat exchanger tubes or any other metallic object. DODGER uses an expert system to analyze eddy current data by reasoning with uncertainty and pattern recognition. The expert system permits DODGER to analyze eddy current data intelligently, and obviate operator uncertainty by analyzing the data in a uniform and consistent manner. 21 figs.

  1. Computerized Adaptive Mastery Tests as Expert Systems.

    ERIC Educational Resources Information Center

    Frick, Theodore W.

    1992-01-01

    Discussion of expert systems and computerized adaptive tests describes two versions of EXSPRT, a new approach that combines uncertain inference in expert systems with sequential probability ratio test (SPRT) stopping rules. Results of two studies comparing EXSPRT to adaptive mastery testing based on item response theory and SPRT approaches are…

  2. Counseling, Artificial Intelligence, and Expert Systems.

    ERIC Educational Resources Information Center

    Illovsky, Michael E.

    1994-01-01

    Considers the use of artificial intelligence and expert systems in counseling. Limitations are explored; candidates for counseling versus those for expert systems are discussed; programming considerations are reviewed; and techniques for dealing with rational, nonrational, and irrational thoughts and feelings are described. (Contains 46…

  3. Expert Systems in Civil Engineering.

    DTIC Science & Technology

    1986-01-01

    preparation for the next evaluation. Zozaya- Gorostiza and Hendrickson (18,p.4) allude to the importance of this for sensitivity analysis (i.e.- modifying...Intellignce, 2nd ed., Addison-Wesley Publishing Company, Inc., Reading,1984. Zozaya- Gorostiza , Carlos and Chris Hendrickson, An Expert 8ystem for

  4. Verification issues for rule-based expert systems

    NASA Technical Reports Server (NTRS)

    Culbert, Chris; Riley, Gary; Savely, Robert T.

    1987-01-01

    Verification and validation of expert systems is very important for the future success of this technology. Software will never be used in non-trivial applications unless the program developers can assure both users and managers that the software is reliable and generally free from error. Therefore, verification and validation of expert systems must be done. The primary hindrance to effective verification and validation is the use of methodologies which do not produce testable requirements. An extension of the flight technique panels used in previous NASA programs should provide both documented requirements and very high levels of verification for expert systems.

  5. Use of expert systems in nuclear power plants

    SciTech Connect

    Uhrig, R.E.

    1989-01-01

    The application of technologies, particularly expert systems, to the control room activities in a nuclear power plant has the potential to reduce operator error and increase plant safety, reliability, and efficiency. Furthermore, there are a large number of nonoperating activities (testing, routine maintenance, outage planning, equipment diagnostics, and fuel management) in which expert systems can increase the efficiency and effectiveness of overall plant and corporate operations. This document presents a number of potential applications of expert systems in the nuclear power field. 36 refs., 2 tabs.

  6. DISPO Advisor: Expert System for Psychiatric Disposition

    PubMed Central

    Barta, Patrick; Barta, Wendy

    1988-01-01

    An expert system was designed to assist psychiatric residents at the Johns Hopkins Hospital. This microcomputer based decision support system helps residents find the proper disposition for patients who come to the emergency room. The system uses an inexpensive, commercially available expert system shell, VP-EXPERT by Paperback Software, to match patients with inpatient and outpatient resources appropriate to their needs. The inference engine uses both forward and backward chaining, and interfaces with data stored in DBase III files. The system is currently in daily use by residents.

  7. Information technology from novice to expert: implementation implications.

    PubMed

    Courtney, Karen L; Alexander, Gregory L; Demiris, George

    2008-09-01

    This paper explores how the Novice-to-Expert Nursing Practice framework can illuminate the challenges of and opportunities in implementing information technology (IT), such as clinical decision support systems (CDSS), in nursing practice. IT implementation in health care is increasing; however, substantial costs and risks remain associated with these projects. The theoretical framework of Novice-to-Expert Nursing Practice was applied to current design and implementation literature for CDSS. Organizational policies and CDSS design affect implementation and user adoption. Nursing CDSS can improve the overall quality of care when designed for the appropriate end-user group and based on a knowledge base reflecting nursing expertise. Nurse administrators can positively influence CDSS function and end-user acceptance by participating in and facilitating staff nurse involvement in IT design, planning and implementation. Specific steps for nurse administrators and managers are included in this paper.

  8. A neural network hybrid expert system

    SciTech Connect

    Goulding, J.R. . Dept. of Mechanical Engineering)

    1991-01-01

    When knowledge-based expert rules, equations, and proprietary languages extend Computer Aided Design and Computer Aided Manufacturing (CAD CAM) software, previously designed mechanisms can be scaled to satisfy new design requirements in the shortest time. However, embedded design alternatives needed by design engineers during the product conception and rework stages are lacking, and an operator is required who has a thorough understanding of the intended design and the how-to expertise needed to create and optimize the mechanisms. By applying neural network technology to build an expert system, a robust design supervisor system emerged which automated the embedded intellectual operations (e.g. questioning, identifying, selecting, and coordinating the design process) to (1) select the best mechanisms necessary to design a power transmission gearbox from proven solutions; (2) aid the inexperienced operator in developing complex design solutions; and (3) provide design alternatives which add back-to-the-drawing board capabilities to knowledge-based mechanical CAD/CAM software programs. 15 refs., 2 figs.

  9. Uncertainty reasoning in expert systems

    NASA Technical Reports Server (NTRS)

    Kreinovich, Vladik

    1993-01-01

    Intelligent control is a very successful way to transform the expert's knowledge of the type 'if the velocity is big and the distance from the object is small, hit the brakes and decelerate as fast as possible' into an actual control. To apply this transformation, one must choose appropriate methods for reasoning with uncertainty, i.e., one must: (1) choose the representation for words like 'small', 'big'; (2) choose operations corresponding to 'and' and 'or'; (3) choose a method that transforms the resulting uncertain control recommendations into a precise control strategy. The wrong choice can drastically affect the quality of the resulting control, so the problem of choosing the right procedure is very important. From a mathematical viewpoint these choice problems correspond to non-linear optimization and are therefore extremely difficult. In this project, a new mathematical formalism (based on group theory) is developed that allows us to solve the problem of optimal choice and thus: (1) explain why the existing choices are really the best (in some situations); (2) explain a rather mysterious fact that fuzzy control (i.e., control based on the experts' knowledge) is often better than the control by these same experts; and (3) give choice recommendations for the cases when traditional choices do not work.

  10. Multiple strategies of reasoning for expert systems

    SciTech Connect

    Yao Yuchuan; Kulikowski, C.A.

    1983-01-01

    In expert systems the heuristics used for combining the weight of evidence can be based on probabilistic, fuzzy set, or subjective confidence factors. Although the underlying assumptions for each of the methods differ, it can be shown that there are correspondences between them and that it is possible to develop a model of expert reasoning for medical consultation using any one of the methods. The authors have developed a system for representing expert knowledge, called ESMES, which is an outgrowth of the expert scheme developed earlier at Rutgers. ESMES allows the use of alternative strategies in the solution of a consultation problem. The authors report on the performance of ESMES for a prototype glaucoma consultation model, using reasoning mechanisms similar to those of the expert, MYCIN, Internist I, and Prospector systems. 9 references.

  11. An Expert System for Designing Fire Prescriptions

    Treesearch

    Elizabeth Reinhardt

    1987-01-01

    Managers use prescribed fire to accomplish a variety of resource objectives. The knowledge needed to design successful prescriptions is both quantitative and qualitative. Some of it is available through publications and computer programs, but much of the knowledge of expert practitioners has never been collected or published. An expert system being developed at the,...

  12. An overview of expert systems. [artificial intelligence

    NASA Technical Reports Server (NTRS)

    Gevarter, W. B.

    1982-01-01

    An expert system is defined and its basic structure is discussed. The knowledge base, the inference engine, and uses of expert systems are discussed. Architecture is considered, including choice of solution direction, reasoning in the presence of uncertainty, searching small and large search spaces, handling large search spaces by transforming them and by developing alternative or additional spaces, and dealing with time. Existing expert systems are reviewed. Tools for building such systems, construction, and knowledge acquisition and learning are discussed. Centers of research and funding sources are listed. The state-of-the-art, current problems, required research, and future trends are summarized.

  13. Communications and tracking expert systems study

    NASA Technical Reports Server (NTRS)

    Leibfried, T. F.; Feagin, Terry; Overland, David

    1987-01-01

    The original objectives of the study consisted of five broad areas of investigation: criteria and issues for explanation of communication and tracking system anomaly detection, isolation, and recovery; data storage simplification issues for fault detection expert systems; data selection procedures for decision tree pruning and optimization to enhance the abstraction of pertinent information for clear explanation; criteria for establishing levels of explanation suited to needs; and analysis of expert system interaction and modularization. Progress was made in all areas, but to a lesser extent in the criteria for establishing levels of explanation suited to needs. Among the types of expert systems studied were those related to anomaly or fault detection, isolation, and recovery.

  14. Expert system to design communications circuits

    SciTech Connect

    Tolendino, L.F.; Vahle, M.O.

    1986-07-01

    An expert system has been created to aid the design of fiber optic based communications circuits. The design system is based on an Apollo workstation, LISP and CPSL, an in-house developed expert system language. The optical circuit is taken from design specification through hardware selection and circuit routing to the production of detailed schematics and routing guides. A database containing the entire fiber optic trunk system is also maintained.

  15. Validation and verification of expert systems

    NASA Technical Reports Server (NTRS)

    Gilstrap, Lewey

    1991-01-01

    Validation and verification (V&V) are procedures used to evaluate system structure or behavior with respect to a set of requirements. Although expert systems are often developed as a series of prototypes without requirements, it is not possible to perform V&V on any system for which requirements have not been prepared. In addition, there are special problems associated with the evaluation of expert systems that do not arise in the evaluation of conventional systems, such as verification of the completeness and accuracy of the knowledge base. The criticality of most NASA missions make it important to be able to certify the performance of the expert systems used to support these mission. Recommendations for the most appropriate method for integrating V&V into the Expert System Development Methodology (ESDM) and suggestions for the most suitable approaches for each stage of ESDM development are presented.

  16. Lighting And Optics Expert System For Machine Vision

    NASA Astrophysics Data System (ADS)

    Novini, Amir

    1989-03-01

    Machine Vision and the field of Artificial Intelligence are both new technologies which have evolved mainly within the past decade with the growth of computers and microchips. And, although research continues, both have emerged from the experimental state to industrial reality. Today's machine vision systems are solving thousands of manufacturing problems in various industries, and the impact of Artificial Intelligence, and more specifically, the use of "Expert Systems" in industry is also being realized. This paper will examine how the two technologies can cross paths, and how an Expert System can become an important part of an overall machine vision solution. An actual example of a development of an Expert System that helps solve machine vision lighting and optics problems will be discussed. The lighting and optics Expert System was developed to assist the end user to configure the "Front End" of a vision system to help solve the overall machine vision problem more effectively, since lack of attention to lighting and optics has caused many failures of this technology. Other areas of machine vision technology where Expert Systems could apply will also be discussed.

  17. Lighting And Optics Expert System For Machine Vision

    NASA Astrophysics Data System (ADS)

    Novini, Amir

    1988-12-01

    Machine Vision and the field of Artificial Intelligence are both new technologies which have evolved mainly within the past decade with the growth of computers and microchips. And, although research continues, both have emerged from the experimental state to industrial reality. Today's machine vision systems are solving thousands of manufacturing problems in various industries, and the impact of Artificial Intelligence, and more specifically, the use of "Expert Systems" in industry is also being realized. This paper will examine how the two technologies can cross paths, and how an Expert System can become an important part of an overall machine vision solution. An actual example of a development of an Expert System that helps solve machine vision lighting and optics problems will be discussed. The lighting and optics Expert System was developed to assist the end user to configure the "Front End" of a vision system to help solve the overall machine vision problem more effectively, since lack of attention to lighting and optics has caused many failures of this technology. Other areas of machine vision technology where Expert Systems could apply will also be discussed.

  18. EMMA: The expert system for munition maintenance

    NASA Technical Reports Server (NTRS)

    Mullins, Barry E.

    1988-01-01

    Expert Missile Maintenance Aid (EMMA) is a first attempt to enhance maintenance of the tactical munition at the field and depot level by using artificial intelligence (AI) techniques. The ultimate goal of EMMA is to help a novice maintenance technician isolate and diagnose electronic, electromechanical, and mechanical equipment faults to the board/chassis level more quickly and consistently than the best human expert using the best currently available automatic test equipment (ATE). To this end, EMMA augments existing ATE with an expert system that captures the knowledge of design and maintenance experts. The EMMA program is described, including the evaluation of field-level expert system prototypes, the description of several study tasks performed during EMMA, and future plans for a follow-on program. This paper will briefly address several study tasks performed during EMMA. The paper concludes with a discussion of future plans for a follow-on program and other areas of concern.

  19. An expert system for dispersion model interpretation

    SciTech Connect

    Skyllingstad, E.D.; Ramsdell, J.V.

    1988-10-01

    A prototype expert system designed to diagnose dispersion model uncertainty is described in this paper with application to a puff transport model. The system obtains qualitative information from the model user and through an expert-derived knowledge base, performs a rating of the current simulation. These results can then be used in combination with dispersion model output for deciding appropriate evacuation measures. Ultimately, the goal of this work is to develop an expert system that may be operated accurately by an individual uneducated in meteorology or dispersion modeling. 5 refs., 3 figs

  20. Investigation of expert system application to spacecraft power system control

    SciTech Connect

    Pistole, C.; Bein, J.

    1984-08-01

    This paper addresses the application of expert systems to spacecraft power system control through investigation of two salient technical issues. These are the maximum speed of an expert system, and interaction between the expert system and transient phenomena. The basis of this discussion will be test data obtained through development of the Fault Isolation Expert System (FIES) at Martin Marietta Aerospace Denver. The expert system was tested to determine the minimum time required to clear a power system fault. This response time will be compared to conventional fault handling techniques, and analyzed to determine the maximum bandwidth of the system to be controlled. The second issue to be investigated is the relationship between expert system speed and power system transients. Specifically, FIES is intended to deal with quasi steady state inputs only. Therefore, expert system inputs must be filtered to eliminate the interaction between the expert system and transient phenomena. This paper will discuss the considerations involved in the tailoring of inputs.

  1. Executive system software design and expert system implementation

    NASA Technical Reports Server (NTRS)

    Allen, Cheryl L.

    1992-01-01

    The topics are presented in viewgraph form and include: software requirements; design layout of the automated assembly system; menu display for automated composite command; expert system features; complete robot arm state diagram and logic; and expert system benefits.

  2. Distributed expert systems for ground and space applications

    NASA Technical Reports Server (NTRS)

    Buckley, Brian; Wheatcraft, Louis

    1992-01-01

    Presented here is the Spacecraft Command Language (SCL) concept of the unification of ground and space operations using a distributed approach. SCL is a hybrid software environment borrowing from expert system technology, fifth generation language development, and multitasking operating system environments. Examples of potential uses for the system and current distributed applications of SCL are given.

  3. Fuzzy expert system for diagnosing diabetic neuropathy

    PubMed Central

    Rahmani Katigari, Meysam; Ayatollahi, Haleh; Malek, Mojtaba; Kamkar Haghighi, Mehran

    2017-01-01

    AIM To design a fuzzy expert system to help detect and diagnose the severity of diabetic neuropathy. METHODS The research was completed in 2014 and consisted of two main phases. In the first phase, the diagnostic parameters were determined based on the literature review and by investigating specialists’ perspectives (n = 8). In the second phase, 244 medical records related to the patients who were visited in an endocrinology and metabolism research centre during the first six months of 2014 and were primarily diagnosed with diabetic neuropathy, were used to test the sensitivity, specificity, and accuracy of the fuzzy expert system. RESULTS The final diagnostic parameters included the duration of diabetes, the score of a symptom examination based on the Michigan questionnaire, the score of a sign examination based on the Michigan questionnaire, the glycolysis haemoglobin level, fasting blood sugar, blood creatinine, and albuminuria. The output variable was the severity of diabetic neuropathy which was shown as a number between zero and 10, had been divided into four categories: absence of the disease, (the degree of severity) mild, moderate, and severe. The interface of the system was designed by ASP.Net (Active Server Pages Network Enabled Technology) and the system function was tested in terms of sensitivity (true positive rate) (89%), specificity (true negative rate) (98%), and accuracy (a proportion of true results, both positive and negative) (93%). CONCLUSION The system designed in this study can help specialists and general practitioners to diagnose the disease more quickly to improve the quality of care for patients. PMID:28265346

  4. Battery test expert systems. [spacecraft propulsion

    NASA Technical Reports Server (NTRS)

    Johnson, Yvette B.

    1990-01-01

    The characteristics of NIHBES (nickel-hydrogen battery expert system) are described, with attention also given to NICBES-2 (nickel-cadmium battery expert system-2). The nickel-hydrogen battery testbed is set up almost identically to the nickel-cadmium battery testbed, with the exceptions of no battery protection and reconditioning circuits (BPRCs) and the frequency of transmission of data. The Ni-H2 testbed has no BPRCs and the data are transmitted every 30 s instead of every minute. An expert system shell was chosen to develop this particular expert system. The GoldWorks expert system shell from Gold Hill Computers was chosen for the task. NIHBES will extract the desired data and return fault diagnosis, status and advice, and decision support. Expert systems have been proven to be viable tools in the control and monitoring of space power systems. Presently, the DDAS (digital data acquisition system) monitors and controls the orbit time, and is responsible for limit checking, data acquisition, and data summaries. It is concluded that in the future control of the Hubble Space Telescope breadboard will be passed to NIHBES. NIHBES will be more beneficial to the testbed than the DDAS alone due to the limitations of the DDAS. The DDAS cannot provide long-term trend analysis, plotting capability, fault diagnosis, or advice.

  5. Jess, the Java expert system shell

    SciTech Connect

    Friedman-Hill, E.J.

    1997-11-01

    This report describes Jess, a clone of the popular CLIPS expert system shell written entirely in Java. Jess supports the development of rule-based expert systems which can be tightly coupled to code written in the powerful, portable Java language. The syntax of the Jess language is discussed, and a comprehensive list of supported functions is presented. A guide to extending Jess by writing Java code is also included.

  6. A Combat Battle Damage Assessor Expert System,

    DTIC Science & Technology

    1984-05-01

    Next, the requirements should receive just enough repair to allow for the battle damage assessor software it to be flown to a rear area for complete are...R’ D-Ai48 898 A COMBAT BATTLE DAMAGE ASSESSOR EXPERT SYSTEM(U) AIR 1/i FORCE WRIGHT AERONAUTICAL LABS WRIGHT-PATTERSON AFB ON D E NELSON MAY 84 SBI...8217.c.sw-x -: "--..... . .. .-. :;.-...... .............. .. . .. . . .. . .. . . r74 IV A COMBAT BATTLE DAMAGE ASSESSOR EXPERT SYSTEM DAL E. NELSON

  7. Expert system interaction with existing analysis codes

    SciTech Connect

    Ransom, V.H.; Fink, R.K.; Bertch, W.J.; Callow, R.A.

    1986-01-01

    Coupling expert systems with existing engineering analysis codes is a promising area in the field of artificial intelligence. The added intelligence can provide for easier and less costly use of the code and also reduce the potential for code misuse. This paper will discuss the methods available to allow interaction between an expert system and a large analysis code running on a mainframe. Concluding remarks will identify potential areas of expert system application with specific areas that are being considered in a current research program. The difficulty of interaction between an analysis code and an expert system is due to the incompatibility between the FORTRAN environment used for the analysis code and the AI environment used for the expert system. Three methods, excluding file transfer techniques, are discussed to help overcome this incompatibility. The first method is linking the FORTRAN routines to the LISP environment on the same computer. Various LISP dialects available on mainframes and their interlanguage communication capabilities are discussed. The second method involves network interaction between a LISP machine and a mainframe computer. Comparisons between the linking method and networking are noted. The third method involves the use of an expert system tool that is campatible with a FORTRAN environment. Several available tools are discussed. With the interaction methods identified, several potential application areas are considered. Selection of the specific areas that will be developed for the pilot project and applied to a thermal-hydraulic energy analysis code are noted.

  8. Comparison of an expert system to human experts in well-log analysis and interpretation

    SciTech Connect

    Einstein, E.E.; Edwards, K.W. )

    1990-03-01

    Comparisons of results produced by an expert system to those produced by log-analysis experts are discussed using case histories from a variety of wells from several countries. The results, in general, exceeded initial expectations, with the expert system showing surprisingly intelligent behavior in some circumstances and actually highlighting mistakes made by the human experts. In other examples, the expert system fails to emulate the human expert closely. Failures are shown to result from the application of knowledge gathered from outside the realm of log analysis or from a lack of information entered into the expert system.

  9. System Experts and Decision Making Experts in Transdisciplinary Projects

    ERIC Educational Resources Information Center

    Mieg, Harald A.

    2006-01-01

    Purpose: This paper aims at a better understanding of expert roles in transdisciplinary projects. Thus, the main purpose is the analysis of the roles of experts in transdisciplinary projects. Design/methodology/approach: The analysis of the ETH-UNS case studies from the point of view of the psychology of expertise and the sociology of professions…

  10. System Experts and Decision Making Experts in Transdisciplinary Projects

    ERIC Educational Resources Information Center

    Mieg, Harald A.

    2006-01-01

    Purpose: This paper aims at a better understanding of expert roles in transdisciplinary projects. Thus, the main purpose is the analysis of the roles of experts in transdisciplinary projects. Design/methodology/approach: The analysis of the ETH-UNS case studies from the point of view of the psychology of expertise and the sociology of professions…

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

    NASA Technical Reports Server (NTRS)

    Jones, Robert E.; Liberman, Eugene M.

    1992-01-01

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

  12. Integrated Knowledge Based Expert System for Disease Diagnosis System

    NASA Astrophysics Data System (ADS)

    Arbaiy, Nureize; Sulaiman, Shafiza Eliza; Hassan, Norlida; Afizah Afip, Zehan

    2017-08-01

    The role and importance of healthcare systems to improve quality of life and social welfare in a society have been well recognized. Attention should be given to raise awareness and implementing appropriate measures to improve health care. Therefore, a computer based system is developed to serve as an alternative for people to self-diagnose their health status based on given symptoms. This strategy should be emphasized so that people can utilize the information correctly as a reference to enjoy healthier life. Hence, a Web-based Community Center for Healthcare Diagnosis system is developed based on expert system technique. Expert system reasoning technique is employed in the system to enable information about treatment and prevention of the diseases based on given symptoms. At present, three diseases are included which are arthritis, thalassemia and pneumococcal. Sets of rule and fact are managed in the knowledge based system. Web based technology is used as a platform to disseminate the information to users in order for them to optimize the information appropriately. This system will benefit people who wish to increase health awareness and seek expert knowledge on the diseases by performing self-diagnosis for early disease detection.

  13. Expert Systems: Implications for the Diagnosis and Treatment of Learning Disabilities.

    ERIC Educational Resources Information Center

    Hofmeister, Alan M.; Lubke, Margaret M.

    1988-01-01

    The article examines characteristics and present or potential applications of expert systems technology for diagnosis and treatment of learning disabilities. Preliminary findings indicate that expert systems can perform as well as humans in specific areas, and that the process of organizing knowledge bases for expert systems helps clarify existing…

  14. Space Shuttle telemetry analysis by a real time expert system

    NASA Technical Reports Server (NTRS)

    Muratore, John F.

    1987-01-01

    During early manned spacecraft operations, the primary role of ground telemetry systems was data display to flight controllers. As manned spaceflights have increased in complexity, greater demands have been placed on flight controllers to simultaneously monitor systems and replan systems operations. This has led to interest in automated telemetry monitoring systems to decrease the workload on flight controllers. The Mission Operations Directorate at the Lyndon B. Johnson Space Center has developed a five layer model to integrate various monitoring and analysis technologies such as digital filtering, fault detection algorithms, and expert systems. The paper describes the five layer model and explains how it has been used to guide prototyping efforts at Mission Control. Results from some initial expert systems are presented. The paper also describes the integrated prototype currently under development which implements a real time expert system to assist flight controllers in the Mission Control Center in monitoring Space Shuttle communications systems.

  15. Space Shuttle telemetry analysis by a real time expert system

    NASA Technical Reports Server (NTRS)

    Muratore, John F.

    1987-01-01

    During early manned spacecraft operations, the primary role of ground telemetry systems was data display to flight controllers. As manned spaceflights have increased in complexity, greater demands have been placed on flight controllers to simultaneously monitor systems and replan systems operations. This has led to interest in automated telemetry monitoring systems to decrease the workload on flight controllers. The Mission Operations Directorate at the Lyndon B. Johnson Space Center has developed a five layer model to integrate various monitoring and analysis technologies such as digital filtering, fault detection algorithms, and expert systems. The paper describes the five layer model and explains how it has been used to guide prototyping efforts at Mission Control. Results from some initial expert systems are presented. The paper also describes the integrated prototype currently under development which implements a real time expert system to assist flight controllers in the Mission Control Center in monitoring Space Shuttle communications systems.

  16. A cost effective expert system to assist physicians: epileptologists' assistant.

    PubMed Central

    Ruchelman, M.; Krishnamurthy, K.; Hostetler, W.; Peterson, L. L.; Jungmann, J.; Doller, H. J.

    1992-01-01

    While medical expert systems helped demonstrate that artificial intelligence was possible, few medical systems have been heralded as practical successes. We believe that expert systems will be practical successes if they cost effectively handle most of a physician's workload (i.e., routine care). To accomplish this goal, technology must appear invisible to the user; the system must be intuitive and anticipate users' needs. "Epileptologists' Assistant" is an example of our approach of combining a graphical user interface with an expert system and data base in a system to help in a routine specialty clinic. The goal is for two nurses and a physician to handle the workload of three physicians while increasing the quality of care. The current system reduces physician time by 66%. Our ultimate goal is to create a unified family of systems for medical specialties. PMID:1482997

  17. REDEX: The ranging equipment diagnostic expert system

    NASA Technical Reports Server (NTRS)

    Luczak, Edward C.; Gopalakrishnan, K.; Zillig, David J.

    1989-01-01

    REDEX, an advanced prototype expert system that diagnoses hardware failures in the Ranging Equipment (RE) at NASA's Ground Network tracking stations is described. REDEX will help the RE technician identify faulty circuit cards or modules that must be replaced, and thereby reduce troubleshooting time. It features a highly graphical user interface that uses color block diagrams and layout diagrams to illustrate the location of a fault. A semantic network knowledge representation technique was used to model the design structure of the RE. A catalog of generic troubleshooting rules was compiled to represent heuristics that are applied in diagnosing electronic equipment. Specific troubleshooting rules were identified to represent additional diagnostic knowledge that is unique to the RE. Over 50 generic and 250 specific troubleshooting rules have been derived. REDEX is implemented in Prolog on an IBM PC AT-compatible workstation. Block diagram graphics displays are color-coded to identify signals that have been monitored or inferred to have nominal values, signals that are out of tolerance, and circuit cards and functions that are diagnosed as faulty. A hypertext-like scheme is used to allow the user to easily navigate through the space of diagrams and tables. Over 50 graphic and tabular displays have been implemented. REDEX is currently being evaluated in a stand-alone mode using simulated RE fault scenarios. It will soon be interfaced to the RE and tested in an online environment. When completed and fielded, REDEX will be a concrete example of the application of expert systems technology to the problem of improving performance and reducing the lifecycle costs of operating NASA's communications networks in the 1990's.

  18. REDEX - The ranging equipment diagnostic expert system

    NASA Technical Reports Server (NTRS)

    Luczak, Edward C.; Gopalakrishnan, K.; Zillig, David J.

    1989-01-01

    REDEX, an advanced prototype expert system that diagnoses hardware failures in the Ranging Equipment (RE) at NASA's Ground Network tracking stations is described. REDEX will help the RE technician identify faulty circuit cards or modules that must be replaced, and thereby reduce troubleshooting time. It features a highly graphical user interface that uses color block diagrams and layout diagrams to illustrate the location of a fault. A semantic network knowledge representation technique was used to model the design structure of the RE. A catalog of generic troubleshooting rules was compiled to represent heuristics that are applied in diagnosing electronic equipment. Specific troubleshooting rules were identified to represent additional diagnostic knowledge that is unique to the RE. Over 50 generic and 250 specific troubleshooting rules have been derived. REDEX is implemented in Prolog on an IBM PC AT-compatible workstation. Block diagram graphics displays are color-coded to identify signals that have been monitored or inferred to have nominal values, signals that are out of tolerance, and circuit cards and functions that are diagnosed as faulty. A hypertext-like scheme is used to allow the user to easily navigate through the space of diagrams and tables. Over 50 graphic and tabular displays have been implemented. REDEX is currently being evaluated in a stand-alone mode using simulated RE fault scenarios. It will soon be interfaced to the RE and tested in an online environment. When completed and fielded, REDEX will be a concrete example of the application of expert systems technology to the problem of improving performance and reducing the lifecycle costs of operating NASA's communications networks in the 1990s.

  19. Configuration Management For Expert System Development: Application to the MK 92 Prototype Maintenance Advisor Expert System.

    DTIC Science & Technology

    1995-03-01

    The high turnover rate of student developers and the frequency with which changes are made to the expert system have highlighted a need for controlling...thesis develops a configuration management plan for the MK92 Maintenance Advisor Expert System (MK92 MAES) to assist object members in the management of...suitability for application in an expert system development environment. Finally, specific recommendations are presented for establishing a configuration management process for MK92 MAES project.

  20. Structuring Knowledge for Expert System Solutions. Part 1: Definition.

    ERIC Educational Resources Information Center

    Grabinger, R. Scott

    1988-01-01

    This introductory article defines and delimits expert systems. The discussion covers the concepts of artificial intelligence, the components of an expert system, and the significance of expert systems when compared to more traditional decision making tools. (CLB)

  1. Computer-Assisted Diagnosis in Reading: An Expert Systems Approach.

    ERIC Educational Resources Information Center

    McEneaney, John E.

    1992-01-01

    Introduces some basic concepts on which expert systems are based. Considers how expert systems might be productively applied in education. Describes an experimental expert system with applications in reading diagnosis and teacher training. (SR)

  2. Optical Design Using an Expert System

    SciTech Connect

    Lerner, S A

    2003-08-01

    We present, as a different perspective on optimization, an expert system for optimization of optical systems that can be used in conjunction with damped least squared methods to find minima for specific design forms. Expert system optimization differs from global optimization in that it preserves the basic structure of the optical system and limits its search for a minima to a relatively small portion of the design space. In general, the high density of local minima obscures the general trend of the merit function in the region of interest for systems with a large number of variables and constraints. Surprisingly, there may be a potential decrease of an order a magnitude in the merit function for a region of solution space. While global optimization is well-suited to identifying design forms of interest, expert system optimization can be used for in-depth optimization of such forms. An expert system based upon such techniques was used to obtain the winning entry for the 2002 IODC lens design problem. The expert system used is discussed along with other design examples.

  3. Expert System for Automated Design Synthesis

    NASA Technical Reports Server (NTRS)

    Rogers, James L., Jr.; Barthelemy, Jean-Francois M.

    1987-01-01

    Expert-system computer program EXADS developed to aid users of Automated Design Synthesis (ADS) general-purpose optimization program. EXADS aids engineer in determining best combination based on knowledge of specific problem and expert knowledge stored in knowledge base. Available in two interactive machine versions. IBM PC version (LAR-13687) written in IQ-LISP. DEC VAX version (LAR-13688) written in Franz-LISP.

  4. Knowledge Acquisition for Probabilistic Expert Systems

    PubMed Central

    Lehmann, Harold P.

    1988-01-01

    Recent interest in probability-based expert systems has focused on the potential these systems have for being coherent with the beliefs of the modeled expert or of the user and consistent given any set of evidence. We have used the probabilistic formalism in creating the REFEREE system, a belief-network-based expert system designed to aid readers in determining the credibility of a randomized clinical trial. In this paper, we explore the effect the formalism had on the process of knowledge acquisition based on this experience. Although the system is still in development, we can report several of those effects. Specifically, the need to make operational definitions of concepts deemed important to the expert forced us to organize a domain that was formulated initially for a rule-based system. Categorizing probability distributions as being logical, probabilitic, or prototypical helped us to decrease the number of probability assessments. On the other hand, the lack of an intermediate prototype may have prolonged development, and computational limitations forced occasional compromises. The reality of building expert systems in a probabilistic paradigm may not be as hard as some critics have predicted.

  5. Expert systems for the transportation of hazardous and radioactive materials

    SciTech Connect

    Luce, C.E.; Clover, J.C.; Ferrada, J.J.

    1994-10-01

    Under the supervision of the Transportation Technologies Group which is in the Chemical Technology Division at Oak Ridge National Laboratory, an expert system prototype for the transportation and packaging of hazardous and radioactive materials has been designed and developed. The development of the expert system prototype focused on using the combination of hypermedia elements and the Visual Basic{trademark} programming language. Hypermedia technology uses software that allows the user to interact with the computing environment through many formats: text, graphics, audio, and full-motion video. With the use of hypermedia, a user-friendly prototype has been developed to sort through numerous transportation regulations, thereby leading to the proper packaging for the materials. The expert system performs the analysis of regulations that an expert in shipping information would do; only the expert system performs the work more quickly. Currently, enhancements in a variety of categories are being made to the prototype. These include further expansion of non-radioactive materials, which includes any material that is hazardous but not radioactive; and the addition of full-motion video, which will depict regulations in terms that are easy to understand and which will show examples of how to handle the materials when packaging them.

  6. Expert air monitoring system (EXAMS): An expert system to use FT-IR for air monitoring

    SciTech Connect

    D`Arcy, J.B. |; Levine, S.P.

    1995-12-31

    The goal of this research was to investigate the feasibility of developing an MS-Windows based expert system for monitoring organic compounds in workplace air by FF-IR spectrometry. The blackboard expert system includes both expert, algorithmic and rule-based components, and a well-developed user interface. The expert system enables the non-spectroscopist to correctly utilize this powerful analytical technique. In a complementary fashion, the expert system also allows the non-environmental specialist who has skills in spectroscopy to correctly interpret the environmental significance of results obtained using FI-IR. This expert system currently operates in occupational environments with known atmospheric contaminants, but with the ability to flag the presence of unanticipated compounds. Decision tracing allows the experienced user to evaluate the expert system`s decisions. As part of the validation of the expert system it was evaluated against previously published data for the analysis of pure compounds and found to perform as well or better than the expert spectroscopists in most cases.

  7. Expert system for scheduling simulation lab sessions

    NASA Technical Reports Server (NTRS)

    Lund, Chet

    1990-01-01

    Implementation and results of an expert system used for scheduling session requests for the Systems Engineering Simulator (SES) laboratory at the NASA Johnson Space Center (JSC) are discussed. Weekly session requests are received from astronaut crew trainers, procedures developers, engineering assessment personnel, software developers, and various others who wish to access the computers, scene generators, and other simulation equipment available to them in the SES lab. The expert system under discussion is comprised of a data acquisition portion - two Pascal programs run on a personal computer - and a CLIPS program installed on a minicomputer. A brief introduction to the SES lab and its scheduling background is given. A general overview of the system is provided, followed by a detailed description of the constraint-reduction process and of the scheduler itself. Results from a ten-week trial period using this approach are discussed. Finally, a summary of the expert system's strengths and shortcomings are provided.

  8. Feasibility of physician-developed expert systems.

    PubMed

    Tuhrim, S; Reggia, J A

    1986-01-01

    The authors developed an experimental domain-independent "expert system generator" intended for direct use by physicians. They then undertook a four-year study to determine whether physicians could use such a system effectively. During this period they taught the use of the expert system generator to 70 medical students, who utilized it to build two small medical expert systems. At the conclusion of the course, students were examined on decision-making concepts and completed anonymous questionnaires. Performance scores, a composite of test and project grades, were calculated for each student. There was no significant association between previous computer experience and performance score. Thirty-two of 47 students responding felt the expert system generator was easy to use; 15 felt it was of moderate difficulty. Forty-three of 47 thought it a useful teaching aid. These data support the conclusion that physicians can learn to use domain-independent software to implement medical expert systems directly, without a knowledge engineer as an intermediary.

  9. Expert System Approach For Generating And Evaluating Engine Design Alternatives

    NASA Astrophysics Data System (ADS)

    Shen, Stewart N. T.; Chew, Meng-Sang; Issa, Ghassan F.

    1989-03-01

    Artificial intelligence is becoming an increasingly important subject of study for computer scientists, engineering designers, as well as professionals in other fields. Even though AI technology is a relatively new discipline, many of its concepts have already found practical applications. Expert systems, in particular, have made significant contributions to technologies in such fields as business, medicine, engineering design, chemistry, and particle physics. This paper describes an expert system developed to aid the mechanical designer with the preliminary design of variable-stroke internal-combustion engines. The expert system accomplished its task by generating and evaluating a large number of design alternatives represented in the form of graphs. Through the application of structural and design rules directly to the graphs, optimal and near optimal preliminary design configurations of engines are deduced.

  10. Dietitians: experts about food systems?

    PubMed

    Klitzke, C

    1997-10-01

    Dietary advice that promotes optimal nutrition presupposes adequate land for growing food, environmental quality conducive to food production, stable government, a strong economy, and community food security (or a reliable transportation system). Without these conditions, recommendations for optimal nutrition become moot. Our profession will be strengthened as we develop a broad knowledge of our entire food system.

  11. Expert system control of a six-legged walking telerobot

    SciTech Connect

    DeVries, K R

    1989-01-01

    The Robotics Technology Group of the Savannah River Laboratory has implemented a three-stage expert system for a six-legged walking telerobot. Remote operation of this machine requires the knowledge of a highly skilled operator. Stability, size, and mode of operation considerations must take place continuously, in general, much more so than with a typical wheeled vehicle. The technology employed provides for quasi-real-time computer control, manual control, and an expert advisor -- all in the same package, which runs on the IBM PC/AT. 2 refs., 5 figs.

  12. The diagnosis of microcytic anemia by a rule-based expert system using VP-Expert.

    PubMed

    O'Connor, M L; McKinney, T

    1989-09-01

    We describe our experience in creating a rule-based expert system for the interpretation of microcytic anemia using the expert system development tool, VP-Expert, running on an IBM personal computer. VP-Expert processes data (complete blood cell count results, age, and sex) according to a set of user-written logic rules (our program) to reach conclusions as to the following causes of microcytic anemia: alpha- and beta-thalassemia trait, iron deficiency, and anemia of chronic disease. Our expert system was tested using previously interpreted complete blood cell count data. In most instances, there was good agreement between the expert system and its pathologist-author, but many discrepancies were found in the interpretation of anemia of chronic disease. We conclude that VP-Expert has a useful level of power and flexibility, yet is simple enough that individuals with modest programming experience can create their own expert systems. Limitations of such expert systems are discussed.

  13. Hybrid Expert Systems In Image Analysis

    NASA Astrophysics Data System (ADS)

    Dixon, Mark J.; Gregory, Paul J.

    1987-04-01

    Vision systems capable of inspecting industrial components and assemblies have a large potential market if they can be easily programmed and produced quickly. Currently, vision application software written in conventional high-level languages such as C or Pascal are produced by experts in program design, image analysis, and process control. Applications written this way are difficult to maintain and modify. Unless other similar inspection problems can be found, the final program is essentially one-off redundant code. A general-purpose vision system targeted for the Visual Machines Ltd. C-VAS 3000 image processing workstation, is described which will make writing image analysis software accessible to the non-expert both in programming computers and image analysis. A significant reduction in the effort required to produce vision systems, will be gained through a graphically-driven interactive application generator. Finally, an Expert System will be layered on top to guide the naive user through the process of generating an application.

  14. Living Expert System (LEXSYS). Volume 4

    DTIC Science & Technology

    1989-04-15

    number) _eleconferencing, Army Teleconferencing, Army Forum, Living Excert System, 1T ’’Z 20. A65TR ACT (-Ca teue so rewee oiv If nae..siy md Idetul fy by...CLASSIFICATION OW THIS PAGE(Wham Date Enteed) This study is the continued development of the Living Expert System (LEXSYS) provided by a study group from the U.S...released for open publication vintil it bas been cleared by the appropriate miltt service or goverwnmt agency. LIVING EXPERT SYSTEM (LEXSYS) A GROUP

  15. Expert system for the plasma spray process

    SciTech Connect

    Wang, H.; Petrone, S.

    1994-12-31

    The plasma spray process, like other thermal spray processes, has few on-line monitoring sensors and many process variables which cannot be easily and precisely formulated. This provides an opportunity for improving and controlling the process through artificial intelligence. An expert system has been constructed for selecting plasma spray parameters in the development of new coatings. The expert system is based on operator experience and heuristics on the subject using symbolic reasoning, and coupled with numerical calculations. For less experienced users, the system can assist in solving process problems.

  16. An expert system approach to astronomical data analysis

    NASA Technical Reports Server (NTRS)

    Johnston, Mark D.

    1987-01-01

    Expert systems technology has much to offer to the problem of astronomical data analysis, where large data volumes and sophisticated analysis goals have caused a variety of interesting problems to arise. The construction of a prototype expert system whose target domain is CCD image calibration, is reported. The prototype is designed to be extensible to different and more complex problems in a straighforward way, and to be largely independent of the details of the specific data analysis system which executes the plan it generates.

  17. Artificial Intelligence and Expert Systems.

    ERIC Educational Resources Information Center

    Lawlor, Joseph

    Artificial intelligence (AI) is the field of scientific inquiry concerned with designing machine systems that can simulate human mental processes. The field draws upon theoretical constructs from a wide variety of disciplines, including mathematics, psychology, linguistics, neurophysiology, computer science, and electronic engineering. Some of the…

  18. An Expert System Shell to Teach Problem Solving.

    ERIC Educational Resources Information Center

    Lippert, Renate C.

    1988-01-01

    Discusses the use of expert systems to teach problem-solving skills to students from grade 6 to college level. The role of computer technology in the future of education is considered, and the construction of knowledge bases is described, including an example for physics. (LRW)

  19. Estrogen receptor expert system overview and examples

    EPA Science Inventory

    The estrogen receptor expert system (ERES) is a rule-based system developed to prioritize chemicals based upon their potential for binding to the ER. The ERES was initially developed to predict ER affinity of chemicals from two specific EPA chemical inventories, antimicrobial pe...

  20. ROSIE: A Programming Environment for Expert Systems

    DTIC Science & Technology

    1985-10-01

    ence on Artificial Inteligence , Tbilisi, USSR, 1975. Fain, J., D. Gorlin, F. Hayes-Roth, S. Rosenschein, H. Sowizral, and D. Waterman, The ROSIE Language...gramming environment for artificial intelligence (AI) applications. It provides particular support for designing expert systems, systems that embody

  1. Automation of Expert Tutoring System Design.

    ERIC Educational Resources Information Center

    Galeev, Ildar

    1999-01-01

    Discusses the development and introduction of expert tutoring systems (ETS), or intelligent tutoring systems. Explains MONAP-PLUS, an example of an authoring tool for the design of an ETS that includes models of the subject domain, the learner, and the learning process; a user-friendly interface; and techniques for developing algorithmic…

  2. Estrogen receptor expert system overview and examples

    EPA Science Inventory

    The estrogen receptor expert system (ERES) is a rule-based system developed to prioritize chemicals based upon their potential for binding to the ER. The ERES was initially developed to predict ER affinity of chemicals from two specific EPA chemical inventories, antimicrobial pe...

  3. Expert Systems: Tutors, Tools, and Tutees.

    ERIC Educational Resources Information Center

    Lippert, Renate C.

    1989-01-01

    Discusses the current status, research, and practical implications of artificial intelligence and expert systems in education. Topics discussed include computer-assisted instruction; intelligent computer-assisted instruction; intelligent tutoring systems; instructional strategies involving the creation of knowledge bases; decision aids;…

  4. A Generic Expert Scheduling System Architecture and Toolkit: GUESS (Generically Used Expert Scheduling System)

    NASA Technical Reports Server (NTRS)

    Liebowitz, Jay; Krishnamurthy, Vijaya; Rodens, Ira; Houston, Chapman; Liebowitz, Alisa; Baek, Seung; Radko, Joe; Zeide, Janet

    1996-01-01

    Scheduling has become an increasingly important element in today's society and workplace. Within the NASA environment, scheduling is one of the most frequently performed and challenging functions. Towards meeting NASA's scheduling needs, a research version of a generic expert scheduling system architecture and toolkit has been developed. This final report describes the development and testing of GUESS (Generically Used Expert Scheduling System).

  5. Spacecraft command and control using expert systems

    NASA Astrophysics Data System (ADS)

    Norcross, Scott; Grieser, William H.

    1994-11-01

    This paper describes a product called the Intelligent Mission Toolkit (IMT), which was created to meet the changing demands of the spacecraft command and control market. IMT is a command and control system built upon an expert system. Its primary functions are to send commands to the spacecraft and process telemetry data received from the spacecraft. It also controls the ground equipment used to support the system, such as encryption gear, and telemetry front-end equipment. Add-on modules allow IMT to control antennas and antenna interface equipment. The design philosophy for IMT is to utilize available commercial products wherever possible. IMT utilizes Gensym's G2 Real-time Expert System as the core of the system. G2 is responsible for overall system control, spacecraft commanding control, and spacecraft telemetry analysis and display. Other commercial products incorporated into IMT include the SYBASE relational database management system and Loral Test and Integration Systems' System 500 for telemetry front-end processing.

  6. Spacecraft command and control using expert systems

    NASA Technical Reports Server (NTRS)

    Norcross, Scott; Grieser, William H.

    1994-01-01

    This paper describes a product called the Intelligent Mission Toolkit (IMT), which was created to meet the changing demands of the spacecraft command and control market. IMT is a command and control system built upon an expert system. Its primary functions are to send commands to the spacecraft and process telemetry data received from the spacecraft. It also controls the ground equipment used to support the system, such as encryption gear, and telemetry front-end equipment. Add-on modules allow IMT to control antennas and antenna interface equipment. The design philosophy for IMT is to utilize available commercial products wherever possible. IMT utilizes Gensym's G2 Real-time Expert System as the core of the system. G2 is responsible for overall system control, spacecraft commanding control, and spacecraft telemetry analysis and display. Other commercial products incorporated into IMT include the SYBASE relational database management system and Loral Test and Integration Systems' System 500 for telemetry front-end processing.

  7. Enhanced algorithms for enterprise expert search system

    NASA Astrophysics Data System (ADS)

    Molokanov, Valentin; Romanov, Dmitry; Tsibulsky, Valentin

    2013-03-01

    We present the results of our enterprise expert search system application to the task introduced at the Text Retrieval Conference (TREC) in 2007. The expert search system is based on analysis of content and communications topology in an enterprise information space. An optimal set of weighting coefficients for three query-candidate associating algorithms is selected for achieving the best search efficiency on the search collection. The obtained performance proved to be better than at most TREC participants. The hypothesis of additional efficiency improvement by means of query classification is proposed.

  8. Abest: The Ada - Based Expert System Tool

    NASA Astrophysics Data System (ADS)

    Semeco, Antonio C.; Ho, David

    1987-05-01

    This article describes the design and implementation of ABEST, the ADA Based Expert System Tool. ABEST is a general purpose software tool intended for use in the development of expert system applications in an ADA environment. Since it may not be clear whether it is feasible (or even desirable) to use ADA in such applications, a discussion of the advantages and disadvantages of the language in that respect is included in the Introduction. An overview of ABEST follows, illustrating its main features through a sample application in digital circuit fault diagnosis. A discussion of planned enhancements and extensions is also provided.

  9. Kalman Filter Residual Expert System.

    DTIC Science & Technology

    1987-12-01

    Matching). 5. SITAN (Sandia Inertial Terrain Aided Navigation). 6. JTIDS Datalink (Joint Tactical Information Distribution System). The ATN uses a Basic...INS, GPS3 S3 INS, SITAN S4 INS, Doppler, SAR/LANTIRN S5 IIS3 Doppler, IBaro S6 GPS3, Baro 0S7 INS, Doppler S8 INS, SAR/LANTIRN S9 INS S11 Doppler...decrease while those of filters A and B increase. Sin , the target has stopped accelerating, the best filter to select would be filter A. ltow- ever, the

  10. Manage fuel gas with an expert system

    SciTech Connect

    Giacone, G.; Toben, S.; Bergeron, G.; Ayral, T.

    1996-09-01

    The Star Louisiana refinery has fuel gas header systems throughout the plant that are utilized by fuel gas producers and consumers. The refinery simultaneously exports surplus fuel gas from the export gas header, and maintains a minimum natural gas makeup rates from multiple external suppliers for fuel gas header pressure control. Successfully implementing a fuel gas expert system has facilitated communication of accurate, timely information to all unit control board operators in the refinery when any change or sub-optimal situation occurs in either of these systems. Information provided from the expert system rule knowledge base results in: proper unit operating actions taken when a flaring situation approaches, thus minimizing the negative impact of flaring on the environment and minimizing product loses to the flare; minimizing purchase of makeup natural gas used for fuel gas system pressure control; maximizing export gas capacity to prevent surplus fuel gas production from limiting refinery operation; immediately recognizing an upset in any fuel gas header system and advising the best corrective action for all affected refinery units; and minimizing voice communication required between units in an upset, since the expert system provides the communication immediately in expert advice messages.

  11. Expert systems for design and simulation

    SciTech Connect

    Aldridge, J.; Cerutti, J.; Draisin, W.; Steuerwalt, M.

    1985-01-01

    We discuss work in progress on two expert systems. We are developing systems that use artificial intelligence techniques to simplify the use of large simulation codes and to help design complicated physical devices. The simulation codes are used in analyzing and designing weapons, and the devices are themselves part of weapon systems. But we focus not only on the particular applications, but also on the broader issues common to design problems: large solution spaces and tentative reasoning. We also discuss some practical difficulties encountered during the project. One expert system provides an interface between users and several simulation codes. It checks input for errors, builds input files for the codes, and submits jobs to a central computing facility. The other expert system helps turn a description of a device into a particular design. Currently this expert system includes three major parts: a translator of descriptions into designs, a graphics interface that presents the design to the user and allows him to manipulate it, and a refiner of designs. The latter is the ''smartest'' part of the system, and the target of much of our present efforts.

  12. Knowledge-Acquisition Tool For Expert System

    NASA Technical Reports Server (NTRS)

    Disbrow, James D.; Duke, Eugene L.; Regenie, Victoria A.

    1988-01-01

    Digital flight-control systems monitored by computer program that evaluates and recommends. Flight-systems engineers for advanced, high-performance aircraft use knowlege-acquisition tool for expert-system flight-status monitor suppling interpretative data. Interpretative function especially important in time-critical, high-stress situations because it facilitates problem identification and corrective strategy. Conditions evaluated and recommendations made by ground-based engineers having essential knowledge for analysis and monitoring of performances of advanced aircraft systems.

  13. Knowledge-Acquisition Tool For Expert System

    NASA Technical Reports Server (NTRS)

    Disbrow, James D.; Duke, Eugene L.; Regenie, Victoria A.

    1988-01-01

    Digital flight-control systems monitored by computer program that evaluates and recommends. Flight-systems engineers for advanced, high-performance aircraft use knowlege-acquisition tool for expert-system flight-status monitor suppling interpretative data. Interpretative function especially important in time-critical, high-stress situations because it facilitates problem identification and corrective strategy. Conditions evaluated and recommendations made by ground-based engineers having essential knowledge for analysis and monitoring of performances of advanced aircraft systems.

  14. Attacking the information access problem with expert systems

    NASA Technical Reports Server (NTRS)

    Ragusa, James M.; Orwig, Gary W.

    1991-01-01

    The results of applications research directed at finding an improved method of storing and accessing information are presented. Twelve microcomputer-based expert systems shells and five laser-optical formats have been studied, and the general and specific methods of interfacing these technologies are being tested in prototype systems. Shell features and interfacing capabilities are discussed, and results from the study of five laser-optical formats are recounted including the video laser, compact, and WORM disks, and laser cards and film. Interfacing, including laser disk device driver interfacing, is discussed and it is pointed out that in order to control the laser device from within the expert systems application, the expert systems shell must be able to access the device driver software. Potential integrated applications are investigated and an initial list is provided including consumer services, travel, law enforcement, human resources, marketing, and education and training.

  15. Attacking the information access problem with expert systems

    NASA Technical Reports Server (NTRS)

    Ragusa, James M.; Orwig, Gary W.

    1991-01-01

    The results of applications research directed at finding an improved method of storing and accessing information are presented. Twelve microcomputer-based expert systems shells and five laser-optical formats have been studied, and the general and specific methods of interfacing these technologies are being tested in prototype systems. Shell features and interfacing capabilities are discussed, and results from the study of five laser-optical formats are recounted including the video laser, compact, and WORM disks, and laser cards and film. Interfacing, including laser disk device driver interfacing, is discussed and it is pointed out that in order to control the laser device from within the expert systems application, the expert systems shell must be able to access the device driver software. Potential integrated applications are investigated and an initial list is provided including consumer services, travel, law enforcement, human resources, marketing, and education and training.

  16. Expert Systems and Diagnostic Monitors in Psychiatry

    PubMed Central

    Gelernter, David; Gelernter, Joel

    1984-01-01

    We argue that existing expert systems for medical diagnosis have not satisfactorily addressed an important problem: how are such systems to be integrated into the clinical environment? This problem should be addressed before and not after a working system is developed, because its solution might well determine important aspects of the ultimate system structure. We propose as one solution the online diagnostic monitor, which is a diagnostic expert system designed for interactive use by a clinican during the course of a patient interview. The exchange between a diagnostic monitor and its clinican user is guided by the user, not the system, and the monitor functions as a passive advisor rather than an active decision-maker. We discuss why a system of this sort might be particularly well-suited to psychiatric diagnosis, and describe preliminary work on an experimental prototype.

  17. Quantifying the Effects of Expert Selection and Elicitation Design on Experts' Confidence in Their Judgments About Future Energy Technologies.

    PubMed

    Nemet, Gregory F; Anadon, Laura Diaz; Verdolini, Elena

    2016-03-31

    Expert elicitations are now frequently used to characterize uncertain future technology outcomes. However, their usefulness is limited, in part because: estimates across studies are not easily comparable; choices in survey design and expert selection may bias results; and overconfidence is a persistent problem. We provide quantitative evidence of how these choices affect experts' estimates. We standardize data from 16 elicitations, involving 169 experts, on the 2030 costs of five energy technologies: nuclear, biofuels, bioelectricity, solar, and carbon capture. We estimate determinants of experts' confidence using survey design, expert characteristics, and public R&D investment levels on which the elicited values are conditional. Our central finding is that when experts respond to elicitations in person (vs. online or mail) they ascribe lower confidence (larger uncertainty) to their estimates, but more optimistic assessments of best-case (10th percentile) outcomes. The effects of expert affiliation and country of residence vary by technology, but in general: academics and public-sector experts express lower confidence than private-sector experts; and E.U. experts are more confident than U.S. experts. Finally, extending previous technology-specific work, higher R&D spending increases experts' uncertainty rather than resolves it. We discuss ways in which these findings should be seriously considered in interpreting the results of existing elicitations and in designing new ones.

  18. Models Used to Select Strategic Planning Experts for High Technology Productions

    NASA Astrophysics Data System (ADS)

    Zakharova, Alexandra A.; Grigorjeva, Antonina A.; Tseplit, Anna P.; Ozgogov, Evgenij V.

    2016-04-01

    The article deals with the problems and specific aspects in organizing works of experts involved in assessment of companies that manufacture complex high-technology products. A model is presented that is intended for evaluating competences of experts in individual functional areas of expertise. Experts are selected to build a group on the basis of tables used to determine a competence level. An expert selection model based on fuzzy logic is proposed and additional requirements for the expert group composition can be taken into account, with regard to the needed quality and competence related preferences of decision-makers. A Web-based information system model is developed for the interaction between experts and decision-makers when carrying out online examinations.

  19. The Development and Application of Expert Systems: A National Survey.

    ERIC Educational Resources Information Center

    Bossinger, June; Milheim, William D.

    1993-01-01

    Discussion of expert systems focuses on a national survey that gathered information concerning the attention and investment given to expert systems by managers and computer professionals in a variety of fields. Highlights include uses of expert systems, types of computers and software used, and expert systems shells and development costs. (18…

  20. A knowledge based expert system for turbomachinery

    SciTech Connect

    Kubiak, J.A.; Rivera-Grijalva, J.J.

    1994-12-31

    This paper describes the development of an Expert system for identification of turbomachinery faults caused by an increase in the vibrations of the rotor bearing system. The organization of the expert system is based on the known vibration patterns constructed from four distinctive vibration parameters: amplitude, frequency, phase angle and waveform. Each of the parameters can lead to a different set of faults. When all four sets of possible faults are overlapped during the selection process, which is automatically carried out, the number of possible faults is reduced to one or two. All the possible causes of increment of vibration can be detected with a high degree of probability. The system is used off-line and can be installed on-line with a monitoring system. The knowledge levels and the separate bases are built into the system.

  1. An expert system for satellite control

    NASA Astrophysics Data System (ADS)

    Pazzani, M.; Brindle, A.

    As on-board satellite systems develop increased sophistication and autonomous capabilities, failures become fewer, but the diagnosis of the remaining failures becomes more complex. In addition, autonomy requirements for space vehicles are being issued along with requirements for reduced staffing of ground stations. Thus successful ground-based fault handling in the future will require greatly increased automation of fault detection and diagnosis. This paper investigates the use of an expert system as a ground system component for diagnosis. The diagnostic cycle of the system is presented, along with requirements for its knowledge base. The results of implementing the design to diagnose part of a satellite attitude control system are given. Knowledge acquisition for this problem centered on the generation and analysis of terminal displays of telemetry which look much like strip charts. Correct diagnosis by the expert system derived from the use of extensive telemetry analysis, operations and satellite status database, and satellite modeling.

  2. A Prototype Expert System for Fishway Design.

    ERIC Educational Resources Information Center

    Bender, Michael J.; And Others

    1992-01-01

    Describes the development of a prototype expert system to recommend the most suitable type of fishway for given design conditions. Recommendations are provided on the basis of fishway hydraulics, fish passage performance, and cost requirements. An appendix provides an example consultation. (MDH)

  3. Genesis of an Electronic Database Expert System.

    ERIC Educational Resources Information Center

    Ma, Wei; Cole, Timothy W.

    2000-01-01

    Reports on the creation of a prototype, Web-based expert system that helps users better navigate library databases at the University of Illinois at Urbana-Champaign. Discusses concerns that gave rise to the project. Summarizes previous work/research and common approaches in academic libraries today. Describes plans for testing the prototype,…

  4. An expert system for optimal gear design

    SciTech Connect

    Lin, K.C.

    1988-01-01

    By properly developing the mathematical model, numerical optimization can be used to seek the best solution for a given set of geometric constraints. The process of determining the non-geometric design variables is automated by using symbolic computation. This gear-design system is built according to the AGMA standards and a survey of gear-design experts. The recommendations of gear designers and the information provided by AGMA standards are integrated into knowledge bases and data bases. By providing fast information retrieval and design guidelines, this expert system greatly streamlines the spur gear design process. The concept of separating the design space into geometric and non-geometric variables can also be applied to the design process for general mechanical elements. The expert-system techniques is used to simulate a human designer to optimize the process of determining non-geometric parameters, and the numerical optimization is used to identify for the best geometric solution. The combination of the expert-system technique with numerical optimization essentially eliminates the deficiencies of both methods and thus provides a better way of modeling the engineering design process.

  5. Prototype Expert System for Climate Classification.

    ERIC Educational Resources Information Center

    Harris, Clay

    Many students find climate classification laborious and time-consuming, and through their lack of repetition fail to grasp the details of classification. This paper describes an expert system for climate classification that is being developed at Middle Tennessee State University. Topics include: (1) an introduction to the nature of classification,…

  6. Planning bioinformatics workflows using an expert system.

    PubMed

    Chen, Xiaoling; Chang, Jeffrey T

    2017-04-15

    Bioinformatic analyses are becoming formidably more complex due to the increasing number of steps required to process the data, as well as the proliferation of methods that can be used in each step. To alleviate this difficulty, pipelines are commonly employed. However, pipelines are typically implemented to automate a specific analysis, and thus are difficult to use for exploratory analyses requiring systematic changes to the software or parameters used. To automate the development of pipelines, we have investigated expert systems. We created the Bioinformatics ExperT SYstem (BETSY) that includes a knowledge base where the capabilities of bioinformatics software is explicitly and formally encoded. BETSY is a backwards-chaining rule-based expert system comprised of a data model that can capture the richness of biological data, and an inference engine that reasons on the knowledge base to produce workflows. Currently, the knowledge base is populated with rules to analyze microarray and next generation sequencing data. We evaluated BETSY and found that it could generate workflows that reproduce and go beyond previously published bioinformatics results. Finally, a meta-investigation of the workflows generated from the knowledge base produced a quantitative measure of the technical burden imposed by each step of bioinformatics analyses, revealing the large number of steps devoted to the pre-processing of data. In sum, an expert system approach can facilitate exploratory bioinformatic analysis by automating the development of workflows, a task that requires significant domain expertise. https://github.com/jefftc/changlab. jeffrey.t.chang@uth.tmc.edu.

  7. Concept of an expert system for EQCreator

    NASA Astrophysics Data System (ADS)

    Schenk, Jiri; Telnarova, Zdenka; Habiballa, Hashim

    2016-06-01

    This article deals with the design of an ideal, and to some extent general, expert system for evaluation of randomly generated algebra with the help of EQCreator program, which is able to generate EQ of algebra. It was created for the purpose of future expansion of the program for the possibility of generating any algebra specified by the user.

  8. Expertise transfer for expert system design

    SciTech Connect

    Boose, J.H.

    1986-01-01

    This book is about the Expertise Transfer System-a computer program which interviews experts and helps them build expert systems, i.e. computer programs that use knowledge from experts to make decisions and judgements under conditions of uncertainty. The techniques are useful to anyone who uses decision-making information based on the expertise of others. The methods can also be applied to personal decision-making. The interviewing methodology is borrowed from a branch of psychology called Personal Construct Theory. It is not necessary to use a computer to take advantage of the techniques from Personal Construction Theory; the fundamental procedures used by the Expertise Transfer System can be performed using paper and pencil. It is not necessary that the reader understand very much about computers to understand the ideas in this book. The few relevant concepts from computer science and expert systems that are needed are explained in a straightforward manner. Ideas from Personal Construct Psychology are also introduced as needed.

  9. Using Expert Systems To Build Cognitive Simulations.

    ERIC Educational Resources Information Center

    Jonassen, David H.; Wang, Sherwood

    2003-01-01

    Cognitive simulations are runnable computer programs for modeling human cognitive activities. A case study is reported where expert systems were used as a formalism for modeling metacognitive processes in a seminar. Building cognitive simulations engages intensive introspection, ownership and meaning making in learners who build them. (Author/AEF)

  10. Fuzzy Expert System to Characterize Students

    ERIC Educational Resources Information Center

    Van Hecke, T.

    2011-01-01

    Students wanting to succeed in higher education are required to adopt an adequate learning approach. By analyzing individual learning characteristics, teachers can give personal advice to help students identify their learning success factors. An expert system based on fuzzy logic can provide economically viable solutions to help students identify…

  11. Fuzzy Expert System to Characterize Students

    ERIC Educational Resources Information Center

    Van Hecke, T.

    2011-01-01

    Students wanting to succeed in higher education are required to adopt an adequate learning approach. By analyzing individual learning characteristics, teachers can give personal advice to help students identify their learning success factors. An expert system based on fuzzy logic can provide economically viable solutions to help students identify…

  12. Expert Systems for Civilian Personnel Administration,

    DTIC Science & Technology

    1985-07-01

    of them in a comparative mode, having an identical problem being solved using each system (see Hayes- Roth, Waterman and Douglas). There are several...This is fairly obvious. After a system is developed, certified expert, and placed in operation as a standardized system, identical ...results would be obtained given identical facts in all locations throughout Army. Although we do not like to admit it, human specialists do not always

  13. Expert System Initiative in Logistic Readiness (EXSYN)

    DTIC Science & Technology

    1987-03-01

    assignment of ERC was demonstrated with a prototype expert system of 81 rules. (2) Such a system, to be useful and effective , must be further developed...which it effectively assigns ERC. THE STUDY SPONSOR was the Deputy Chief of Staff for Operations and Plans, Headquarters, Department of the Army, who...opportunity to interact with these individuals. f. Such a system, to be effective , must be carefully introduced into the TRADOC working environment

  14. Ground terminal expert (GTEX). Part 2: Expert system diagnostics for a 30/20 Gigahertz satellite transponder

    NASA Technical Reports Server (NTRS)

    Durkin, John; Schlegelmilch, Richard; Tallo, Donald

    1992-01-01

    A research effort was undertaken to investigate how expert system technology could be applied to a satellite communications system. The focus of the expert system is the satellite earth station. A proof of concept expert system called the Ground Terminal Expert (GTEX) was developed at the University of Akron in collaboration with the NASA Lewis Research Center. With the increasing demand for satellite earth stations, maintenance is becoming a vital issue. Vendors of such systems will be looking for cost effective means of maintaining such systems. The objective of GTEX is to aid in diagnosis of faults occurring with the digital earth station. GTEX was developed on a personal computer using the Automated Reasoning Tool for Information Management (ART-IM) developed by the Inference Corporation. Developed for the Phase 2 digital earth station, GTEX is a part of the Systems Integration Test and Evaluation (SITE) facility located at the NASA Lewis Research Center.

  15. Ground terminal expert (GTEX). Part 2: Expert system diagnostics for a 30/20 Gigahertz satellite transponder

    NASA Astrophysics Data System (ADS)

    Durkin, John; Schlegelmilch, Richard; Tallo, Donald

    1992-03-01

    A research effort was undertaken to investigate how expert system technology could be applied to a satellite communications system. The focus of the expert system is the satellite earth station. A proof of concept expert system called the Ground Terminal Expert (GTEX) was developed at the University of Akron in collaboration with the NASA Lewis Research Center. With the increasing demand for satellite earth stations, maintenance is becoming a vital issue. Vendors of such systems will be looking for cost effective means of maintaining such systems. The objective of GTEX is to aid in diagnosis of faults occurring with the digital earth station. GTEX was developed on a personal computer using the Automated Reasoning Tool for Information Management (ART-IM) developed by the Inference Corporation. Developed for the Phase 2 digital earth station, GTEX is a part of the Systems Integration Test and Evaluation (SITE) facility located at the NASA Lewis Research Center.

  16. Lighting and optics expert system for machine vision

    NASA Astrophysics Data System (ADS)

    Novini, Amir R.

    1991-03-01

    Machine Vision and the field of Artificial Intelligence are both new technologies which hive evolved mainly within the past decade with the growth of computers and microchips. And although research continues both have emerged from tF experimental state to industrial reality. Today''s machine vision systEns are solving thousands of manufacturing problems in various industries and the impact of Artificial Intelligence and more specifically the ue of " Expert Systems" in industry is also being realized. This pape will examine how the two technologies can cross paths and how an E7ert System can become an important part of an overall machine vision solution. An actual example of a development of an Expert System that helps solve machine vision lighting and optics problems will be discussed. The lighting and optics xpert System was developed to assist the end user to configure the " Front End" of a vision system to help solve the overall machine vision problem more effectively since lack of attention to lighting and optics has caused many failures of this technology. Other areas of machine vision technology where Expert Systems could apply will also be ciscussed.

  17. [Expert systems and antibiotic sensitivity test].

    PubMed

    Flandrois, J; Carret, G

    1991-01-01

    Artificial intelligence is a part of computer science that deals with programs mimicking intelligence of man. Artificial intelligence is now used to check the quality of the determination of antibiotics susceptibility of bacteria. This application is useful because antibiotic susceptibility is subject to biological and technical variation that have to be detected. Three types of reasoning are used either by the biologist or by expert systems: low level quality checking dealing with individual results, microbiological interpretation of the whole set of results and medical interpretation of the results. The use of artificial intelligence in these fields is sustained by the structured nature of the knowledge. Two type of expert systems are already of routine use, either based on production rules (ATB plus EXPERT, bioMerieux, La Balme-les-Grottes, France and SIR, 12A, Montpellier, France), or on object-oriented representation of the knowledge (EXPRIM from our laboratory). The main problem is, as usually in artificial intelligence applications, to transfer human expertise into an adapted knowledge base. The advantage of experts systems over man are their reproducibility of answer and their availability.

  18. Paradigms and building tools for real-time expert systems

    SciTech Connect

    Behrens, U.; Flasinski, M.; Hagge, L.; Ohrenberg, K.

    1994-12-31

    An expert system is a software which can simulate the problem solving behavior of a human expert. The rule-based paradigm is chosen to describe the different aspects involved in expert system development. Differences between expert systems and common procedural or object-oriented programs are investigated. Expert system shells are introduced as a building tool for expert systems, together with some guidelines on the evaluation of such shells. A discussion of special needs for real-time expert system development concludes the paper.

  19. Expert Systems as a Mindtool To Facilitate Mental Model Learning.

    ERIC Educational Resources Information Center

    Mason-Mason, Susan Dale

    Expert systems are computer programs that are designed to advise or assist users by storing the knowledge of human experts and applying the computer's mathematical ability to search and sort this information. This study investigated the use of an expert system as a mindtool and whether or not creating a simple expert system would facilitate the…

  20. Expert Systems as a Mindtool To Facilitate Mental Model Learning.

    ERIC Educational Resources Information Center

    Mason-Mason, Susan Dale; Tessmer, Martin A.

    2000-01-01

    This exploratory study investigated whether the process of constructing an expert system model promotes the formation of expert-like mental models. Discusses expert systems as mindtools, expert systems as learning tools, the assessment of mental models, results of pretests and posttests, and future research. (Contains 56 references.) (Author/LRW)

  1. Diagnostic Expert Systems Use in the United States Navy

    DTIC Science & Technology

    1992-03-01

    expert system. A. DEFINITION What is meant by the term "expert system"? Some author- ities in the field have provided the following definitions. Mark ... Fox (Fox, 1990, p. 8) defines an expert system as a software program that: ... emulates the search behavior of human experts in solving a problem. A

  2. Fault isolation detection expert (FIDEX). Part 1: Expert system diagnostics for a 30/20 Gigahertz satellite transponder

    NASA Technical Reports Server (NTRS)

    Durkin, John; Schlegelmilch, Richard; Tallo, Donald

    1992-01-01

    LeRC has recently completed the design of a Ka-band satellite transponder system, as part of the Advanced Communication Technology Satellite (ACTS) System. To enhance the reliability of this satellite, NASA funded the University of Akron to explore the application of an expert system to provide the transponder with an autonomous diagnosis capability. The results of this research was the development of a prototype diagnosis expert system called FIDEX (fault-isolation and diagnosis expert). FIDEX is a frame-based expert system that was developed in the NEXPERT Object development environment by Neuron Data, Inc. It is a MicroSoft Windows version 3.0 application, and was designed to operate on an Intel i80386 based personal computer system.

  3. An expert system for hydrocephalus patient feedback.

    PubMed

    Alkharabsheh, Abdel Rahman; Momani, Lina; Al-Zu'bi, Nayel; Al-Nuaimy, Waleed

    2010-01-01

    Diagnosis of hydrocephalus symptoms and shunting system faults currently are based on clinical observation, monitoring of cranial growth, transfontanelle pressure, imaging techniques and, on occasion, studies of cerebrospinal fluid (CSF) dynamics. Up to date, the patient has to visit the hospital or meet consultant to diagnose the symptoms that occur due to rising of intracranial pressure or any shunt complications, which cause suffering for the patient and his family. This work presents the design and implementation of an expert system based on real-time patient feedback that aims to provide a suitable decision for hydrocephalus management and shunt diagnosis. Such decision would help in personalising the management as well as detecting and identifying of any shunt malfunctions without the need to contact or visit the hospital. In this paper, the development of patient feedback expert system is described. The outcome of such system would help satisfy the patient's needs regarding his/her shunt.

  4. Development of nickel hydrogen battery expert system

    NASA Technical Reports Server (NTRS)

    Shiva, Sajjan G.

    1990-01-01

    The Hubble Telescope Battery Testbed employs the nickel-cadmium battery expert system (NICBES-2) which supports the evaluation of performances of Hubble Telescope spacecraft batteries and provides alarm diagnosis and action advice. NICBES-2 also provides a reasoning system along with a battery domain knowledge base to achieve this battery health management function. An effort to modify NICBES-2 to accommodate nickel-hydrogen battery environment in testbed is described.

  5. Expert system aid for military finance

    SciTech Connect

    Morris, J.D.; Emrich, M.L.; Hwang, Ho-Ling; Meador, M.

    1987-09-14

    Historically, budget preparation processes have been difficult to accomplish. Errors and inconsistencies cause problems for the analyst during budget review. This paper discusses the development and testing of an expert system to aid budget preparation. The prototyping tool, its capabilities, and their application are discussed. Shown are the pilot testing procedures and their role in system development. Current status and enhancements (including software updates and future testing) are also presented. 12 refs., 3 figs.

  6. Development of nickel hydrogen battery expert system

    NASA Astrophysics Data System (ADS)

    Shiva, Sajjan G.

    1990-10-01

    The Hubble Telescope Battery Testbed employs the nickel-cadmium battery expert system (NICBES-2) which supports the evaluation of performances of Hubble Telescope spacecraft batteries and provides alarm diagnosis and action advice. NICBES-2 also provides a reasoning system along with a battery domain knowledge base to achieve this battery health management function. An effort to modify NICBES-2 to accommodate nickel-hydrogen battery environment in testbed is described.

  7. A distributed expert system for fault diagnosis

    SciTech Connect

    Cardozo, E.; Talukdar, S.N.

    1988-05-01

    This paper describes a hybrid approach to synthesizing solutions for diagnosis and set covering problems from the area of power system operations. The approach combines expert systems written in a rule-based language (OPS5) with algorithmic programs written in C and Lisp. An environment called DPSK has been developed to allow these programs to be run in parallel in a network of computers. Speeds sufficient for real-time applications can thereby be obtained.

  8. Evaluation of Expert Systems in Decisionmaking Organizations

    DTIC Science & Technology

    1988-07-01

    Classification) Evaluation of Expert Systems in Decisionmaking Organizatioo 12. PERSONAL AUTHOR( S ) Didier M . Perdu and Alexander H. Levis 13a. TYPE OF...more a token of the class P, pl and the token of the class S has the costly in time and memory storage than in systems using marking M (A): Boolean logic...The problem is that little improvement in performance is obtained, if extra computation is avoided only in M (A) = pl + S the case of complete truth

  9. Youth As Community Science Experts in Green Energy Technology

    ERIC Educational Resources Information Center

    Calabrese Barton, Angela; Birmingham, Daniel; Sato, Takumi; Tan, Edna; Calabrese Barton, Scott

    2013-01-01

    In this paper, the authors examine what it means to become a community science expert (CSE) and why this goal is important for youth in afterschool environments. Using "Green Energy Technology in the City" (GET City) as a case study, they describe how this afterschool program nurtures youth as CSEs. They draw on data gathered in…

  10. Exercise countermeasure protocol management expert system

    NASA Technical Reports Server (NTRS)

    Webster, L.; Chen, J. G.; Flores, L.; Tan, S.

    1993-01-01

    Exercise will be used primarily to countermeasure against deconditioning on extended space flight. In this paper we describe the development and evaluation of an expert system for exercise countermeasure protocol management. Currently, the system includes two major subsystems: baseline prescription and prescription adjustment. The baseline prescription subsystem is designed to provide initial exercise prescriptions while prescription adjustment subsystem is designed to modify the initial prescription based on the exercised progress. The system runs under three different environments: PC, SUN workstation, and Symbolic machine. The inference engine, baseline prescription module, prescription adjustment module and explanation module are developed under the Symbolic environment by using the ART (Automated Reasoning Tool) software. The Sun environment handles database management features and interfaces with PC environment to obtain physical and physiological data from exercise units on-board during the flight. Eight subjects' data have been used to evaluate the system performance by comparing the prescription of nine experienced exercise physiologists and the one prescribed by the expert system. The results of the validation test indicated that the performance of the expert system was acceptable.

  11. Exercise countermeasure protocol management expert system

    NASA Technical Reports Server (NTRS)

    Webster, L.; Chen, J. G.; Flores, L.; Tan, S.

    1993-01-01

    Exercise will be used primarily to countermeasure against deconditioning on extended space flight. In this paper we describe the development and evaluation of an expert system for exercise countermeasure protocol management. Currently, the system includes two major subsystems: baseline prescription and prescription adjustment. The baseline prescription subsystem is designed to provide initial exercise prescriptions while prescription adjustment subsystem is designed to modify the initial prescription based on the exercised progress. The system runs under three different environments: PC, SUN workstation, and Symbolic machine. The inference engine, baseline prescription module, prescription adjustment module and explanation module are developed under the Symbolic environment by using the ART (Automated Reasoning Tool) software. The Sun environment handles database management features and interfaces with PC environment to obtain physical and physiological data from exercise units on-board during the flight. Eight subjects' data have been used to evaluate the system performance by comparing the prescription of nine experienced exercise physiologists and the one prescribed by the expert system. The results of the validation test indicated that the performance of the expert system was acceptable.

  12. Design of an expert-system flight status monitor

    NASA Technical Reports Server (NTRS)

    Regenie, V. A.; Duke, E. L.

    1985-01-01

    The modern advanced avionics in new high-performance aircraft strains the capability of current technology to safely monitor these systems for flight test prior to their generalized use. New techniques are needed to improve the ability of systems engineers to understand and analyze complex systems in the limited time available during crucial periods of the flight test. The Dryden Flight Research Facility of NASA's Ames Research Center is involved in the design and implementation of an expert system to provide expertise and knowledge to aid the flight systems engineer. The need for new techniques in monitoring flight systems and the conceptual design of an expert-system flight status monitor is discussed. The status of the current project and its goals are described.

  13. Fuzzy Expert System for Heart Attack Diagnosis

    NASA Astrophysics Data System (ADS)

    Hassan, Norlida; Arbaiy, Nureize; Shah, Noor Aziyan Ahmad; Afizah Afif@Afip, Zehan

    2017-08-01

    Heart attack is one of the serious illnesses and reported as the main killer disease. Early prevention is significant to reduce the risk of having the disease. The prevention efforts can be strengthen through awareness and education about risk factor and healthy lifestyle. Therefore the knowledge dissemination is needed to play role in order to distribute and educate public in health care management and disease prevention. Since the knowledge dissemination in medical is important, there is a need to develop a knowledge based system that can emulate human intelligence to assist decision making process. Thereby, this study utilized hybrid artificial intelligence (AI) techniques to develop a Fuzzy Expert System for Diagnosing Heart Attack Disease (HAD). This system integrates fuzzy logic with expert system, which helps the medical practitioner and people to predict the risk and as well as diagnosing heart attack based on given symptom. The development of HAD is expected not only providing expert knowledge but potentially become one of learning resources to help citizens to develop awareness about heart-healthy lifestyle.

  14. Expert system for control of anaerobic digesters

    SciTech Connect

    Pullammanappallil, P.C.; Svoronos, S.A.; Chynoweth, D.P.; Lyberatos, G.

    1998-04-05

    Anaerobic digestion is a biochemical process that converts organic matter into methane and carbon dioxide along with the production of bacterial matter. It is primarily used for waste and wastewater treatment but can also be used for energy production. Continuous anaerobic digesters are systems that present challenging control problems including the possibility that an unmeasured disturbance can change the sign of the steady-state process gain. An expert system is developed that recognizes changes in the sign of process gain and implements appropriate control laws. The sole on-line measured variable is the methane production rate, and the manipulated input is the dilution rate. The expert system changes the dilution rate according to one of four possible strategies: a constrained conventional set-point control law, a constant yield control law (CYCL) that is nearly optimal for the most common cause of change in the sign of the process gain, batch operation, or constant dilution rate. The algorithm uses a t test for determining when to switch to the CYCL and returns to the conventional set-point control law with bumpless transfer. The expert system has proved successful in several experimental tests: severe overload; mild, moderate, and severe underload; and addition of phenol in low and high levels. Phenol is an inhibitor that in high concentrations changes the sign of the process gain.

  15. Quantitative knowledge acquisition for expert systems

    NASA Technical Reports Server (NTRS)

    Belkin, Brenda L.; Stengel, Robert F.

    1991-01-01

    A common problem in the design of expert systems is the definition of rules from data obtained in system operation or simulation. While it is relatively easy to collect data and to log the comments of human operators engaged in experiments, generalizing such information to a set of rules has not previously been a direct task. A statistical method is presented for generating rule bases from numerical data, motivated by an example based on aircraft navigation with multiple sensors. The specific objective is to design an expert system that selects a satisfactory suite of measurements from a dissimilar, redundant set, given an arbitrary navigation geometry and possible sensor failures. The systematic development is described of a Navigation Sensor Management (NSM) Expert System from Kalman Filter convariance data. The method invokes two statistical techniques: Analysis of Variance (ANOVA) and the ID3 Algorithm. The ANOVA technique indicates whether variations of problem parameters give statistically different covariance results, and the ID3 algorithms identifies the relationships between the problem parameters using probabilistic knowledge extracted from a simulation example set. Both are detailed.

  16. Expert system for LAN media selection

    SciTech Connect

    Johnson, M.L.; Bratten, W.A.; Williams, J.M.; Emrich, M.L.

    1988-10-01

    A continued rise in interconnectivity requirements and a shortage of experienced system integrators characterize a growing need for access to data networking information. Telecommunications personnel must make complex decisions regarding transfer media and topology. Informed decision making can be aided by an expert system capturing network planning knowledge. The LAN system has a modular architecture. It contains information regarding the design of Local Area Networks, as well as cost and time considerations. In addition, by including information regarding local constraints (e.g., equipment and distance), the system can be tailored to a new organization. 10 refs., 2 figs.

  17. HYCONES: a hybrid connectionist expert system.

    PubMed Central

    Leão, B. de F.; Reátegui, E. B.

    1993-01-01

    This paper describes HYCONES, a tightly-coupled Hybrid Connectionist Expert System that integrates neural networks with a symbolic approach (frames). The symbolic paradigm provides rich and flexible constructs to describe the domain knowledge, while the connectionist one provides the system with learning capabilities. The paper describes the architecture of the system, focusing on the hybrid aspects of the knowledge base and on its automatic knowledge acquisition technique from a case database. The first validation of the system is presented. At the end, a comparison with related research efforts and future developments are discussed. PMID:8130516

  18. The Expert Project Management System (EPMS)

    NASA Technical Reports Server (NTRS)

    Silverman, Barry G.; Diakite, Coty

    1986-01-01

    Successful project managers (PMs) have been shown to rely on 'intuition,' experience, and analogical reasoning heuristics. For new PMs to be trained and experienced PMs to avoid repeating others' mistakes, it is necessary to make the knowledge and heuristics of successful PMs more widely available. The preparers have evolved a model of PM thought processes over the last decade that is now ready to be implemented as a generic PM aid. This aid consists of a series of 'specialist' expert systems (CRITIC, LIBRARIAN, IDEA MAN, CRAFTSMAN, and WRITER) that communicate with each other via a 'blackboard' architecture. The various specialist expert systems are driven to support PM training and problem solving since any 'answers' they pass to the blackboard are subjected to conflict identification (AGENDA FORMULATOR) and GOAL SETTER inference engines.

  19. The Expert Project Management System (EPMS)

    NASA Technical Reports Server (NTRS)

    Silverman, Barry G.; Diakite, Coty

    1986-01-01

    Successful project managers (PMs) have been shown to rely on 'intuition,' experience, and analogical reasoning heuristics. For new PMs to be trained and experienced PMs to avoid repeating others' mistakes, it is necessary to make the knowledge and heuristics of successful PMs more widely available. The preparers have evolved a model of PM thought processes over the last decade that is now ready to be implemented as a generic PM aid. This aid consists of a series of 'specialist' expert systems (CRITIC, LIBRARIAN, IDEA MAN, CRAFTSMAN, and WRITER) that communicate with each other via a 'blackboard' architecture. The various specialist expert systems are driven to support PM training and problem solving since any 'answers' they pass to the blackboard are subjected to conflict identification (AGENDA FORMULATOR) and GOAL SETTER inference engines.

  20. Using expert systems to analyze ATE data

    NASA Technical Reports Server (NTRS)

    Harrington, Jim

    1994-01-01

    The proliferation of automatic test equipment (ATE) is resulting in the generation of large amounts of component data. Some of this component data is not accurate due to the presence of noise. Analyzing this data requires the use of new techniques. This paper describes the process of developing an expert system to analyze ATE data and provides an example rule in the CLIPS language for analyzing trip thresholds for high gain/high speed comparators.

  1. Expert systems in the process industries

    NASA Technical Reports Server (NTRS)

    Stanley, G. M.

    1992-01-01

    This paper gives an overview of industrial applications of real-time knowledge based expert systems (KBES's) in the process industries. After a brief overview of the features of a KBES useful in process applications, the general roles of KBES's are covered. A particular focus is diagnostic applications, one of the major applications areas. Many applications are seen as an expansion of supervisory control. The lessons learned from numerous online applications are summarized.

  2. An expert system for power systems fault analysis

    SciTech Connect

    Yongli, Z.; Yang, Y.H.; Zhang, W.Q.; Gao, S. ); Hogg, B.W. )

    1994-02-01

    This paper describes an expert system for fault analysis which has been put into field test in the dispatch center of the North East China Electric Network. Previous expert systems for fault analysis on transmission power systems are mainly based on information about the operation of protective relays, whereas this new expert system mainly uses information on tripped circuit breakers, which is more readily available. For some complicated faults, a small number of relay signals are needed. Data concerning the distribution and characteristics of protective relays are concealed in the fault models in the knowledge base of the expert system, and consequently the large database normally required for this data is unnecessary. This also enables the expert system to be more easily transplanted to other networks. Furthermore, because it can distinguish the operational performances of different relays, it analyzes faults more accurately.

  3. Porting a Mental Expert System to a Mainstream Programming Environment

    PubMed Central

    Jao, Chiang S.; Hier, Daniel B.; Dollear, Winifred; Fu, Wenying

    2001-01-01

    Expert systems are increasingly being applied to problems in medical diagnosis and treatment. Initial medical expert systems were programmed in specialized “expert system” shell programming environments. As the power of mainstream programming languages has increased, it has become possible to implement medical expert systems within these mainstream languages. We originally implemented an expert system to record and score the mental status examination utilizing a specialized expert system programming environment. We have now ported that application to a mainstream programming environment without losing any functionality of an accurate and comprehensive diagnostic tool. New system supplements the need of normative consultation report and offline reference library to the traditional patient care system.

  4. Applying Multimedia to the MK 92 Mod 2 Maintenance Advisor Expert System.

    DTIC Science & Technology

    1994-09-01

    This thesis is part of a software project to develop a diagnostic expert system for the MK 92 Mod 2 fire control system (FCS) daily system...technology, to the MK 92 Mod 2 Maintenance Advisor Expert System (MAES). The MAES application is intended for distribution to fleet sailors in order to

  5. Expert overseer for mass spectrometer system

    DOEpatents

    Filby, Evan E.; Rankin, Richard A.

    1991-01-01

    An expert overseer for the operation and real-time management of a mass spectrometer and associated laboratory equipment. The overseer is a computer-based expert diagnostic system implemented on a computer separate from the dedicated computer used to control the mass spectrometer and produce the analysis results. An interface links the overseer to components of the mass spectrometer, components of the laboratory support system, and the dedicated control computer. Periodically, the overseer polls these devices and as well as itself. These data are fed into an expert portion of the system for real-time evaluation. A knowledge base used for the evaluation includes both heuristic rules and precise operation parameters. The overseer also compares current readings to a long-term database to detect any developing trends using a combination of statistical and heuristic rules to evaluate the results. The overseer has the capability to alert lab personnel whenever questionable readings or trends are observed and provide a background review of the problem and suggest root causes and potential solutions, or appropriate additional tests that could be performed. The overseer can change the sequence or frequency of the polling to respond to an observation in the current data.

  6. An expert system for wind shear avoidance

    NASA Technical Reports Server (NTRS)

    Stengel, Robert F.; Stratton, D. Alexander

    1990-01-01

    A study of intelligent guidance and control concepts for protecting against the adverse effects of wind shear during aircraft takeoffs and landings is being conducted, with current emphasis on developing an expert system for wind shear avoidance. Principal objectives are to develop methods for assessing the likelihood of wind shear encounter (based on real-time information in the cockpit), for deciding what flight path to pursue (e.g., takeoff abort, landing go-around, or normal climbout or glide slope), and for using the aircraft's full potential for combating wind shear. This study requires the definition of both deterministic and statistical techniques for fusing internal and external information , for making go/no-go decisions, and for generating commands to the manually controlled flight. The program has begun with the development of the WindShear Safety Advisor, an expert system for pilot aiding that is based on the FAA Windshear Training Aid; a two-volume manual that presents an overview , pilot guide, training program, and substantiating data provides guidelines for this initial development. The WindShear Safety Advisor expert system currently contains over 200 rules and is coded in the LISP programming language.

  7. TES: A modular systems approach to expert system development for real-time space applications

    NASA Technical Reports Server (NTRS)

    Cacace, Ralph; England, Brenda

    1988-01-01

    A major goal of the Space Station era is to reduce reliance on support from ground based experts. The development of software programs using expert systems technology is one means of reaching this goal without requiring crew members to become intimately familiar with the many complex spacecraft subsystems. Development of an expert systems program requires a validation of the software with actual flight hardware. By combining accurate hardware and software modelling techniques with a modular systems approach to expert systems development, the validation of these software programs can be successfully completed with minimum risk and effort. The TIMES Expert System (TES) is an application that monitors and evaluates real time data to perform fault detection and fault isolation tasks as they would otherwise be carried out by a knowledgeable designer. The development process and primary features of TES, a modular systems approach, and the lessons learned are discussed.

  8. An expert systems approach to automated fault management in a regenerative life support subsystem

    NASA Technical Reports Server (NTRS)

    Malin, J. T.; Lance, N., Jr.

    1986-01-01

    This paper describes FIXER, a prototype expert system for automated fault management in a regenerative life support subsystem typical of Space Station applications. The development project provided an evaluation of the use of expert systems technology to enhance controller functions in space subsystems. The software development approach permitted evaluation of the effectiveness of direct involvement of the expert in design and development. The approach also permitted intensive observation of the knowledge and methods of the expert. This paper describes the development of the prototype expert system and presents results of the evaluation.

  9. An expert systems approach to automated fault management in a regenerative life support subsystem

    NASA Technical Reports Server (NTRS)

    Malin, J. T.; Lance, N., Jr.

    1986-01-01

    This paper describes FIXER, a prototype expert system for automated fault management in a regenerative life support subsystem typical of Space Station applications. The development project provided an evaluation of the use of expert systems technology to enhance controller functions in space subsystems. The software development approach permitted evaluation of the effectiveness of direct involvement of the expert in design and development. The approach also permitted intensive observation of the knowledge and methods of the expert. This paper describes the development of the prototype expert system and presents results of the evaluation.

  10. Development and Use of the Coal-Fired Central Energy Plant Operations Expert System (CEPES)

    DTIC Science & Technology

    1993-08-01

    development of the Coal-Fired Central Energy Plant Operations Expert System (CEPES), which analyzes and recommends solutions to coal-fired boiler operational...problems. This phase included selection of the hardware and software platforms, and development and coding of the expert system . Later phases will...expand and beta test the present system, and develop a comprehensive technology transfer plan. Central heating plants, Artificial intelligence, Coal-fired energy plant operations expert system (CEPES).

  11. MARBLE: A system for executing expert systems in parallel

    NASA Technical Reports Server (NTRS)

    Myers, Leonard; Johnson, Coe; Johnson, Dean

    1990-01-01

    This paper details the MARBLE 2.0 system which provides a parallel environment for cooperating expert systems. The work has been done in conjunction with the development of an intelligent computer-aided design system, ICADS, by the CAD Research Unit of the Design Institute at California Polytechnic State University. MARBLE (Multiple Accessed Rete Blackboard Linked Experts) is a system of C Language Production Systems (CLIPS) expert system tool. A copied blackboard is used for communication between the shells to establish an architecture which supports cooperating expert systems that execute in parallel. The design of MARBLE is simple, but it provides support for a rich variety of configurations, while making it relatively easy to demonstrate the correctness of its parallel execution features. In its most elementary configuration, individual CLIPS expert systems execute on their own processors and communicate with each other through a modified blackboard. Control of the system as a whole, and specifically of writing to the blackboard is provided by one of the CLIPS expert systems, an expert control system.

  12. The NASA personnel security processing expert system

    SciTech Connect

    Silberberg, D.; Thomas, R.

    1996-12-31

    The NASA Personnel Security Processing Expert System is a tool that automatically determines the appropriate personnel background investigation required for a civil servant or contractor occupying a position of national security or public trust. It also instructs the personnel security processing staff to perform special checks based on a specific position. The system is implemented using a rule-based expert system and a World Wide Web interface. The system design separates the user interface, knowledge base and control structure to simplify system evolution. When one subsystem is modified, the others are impacted minimally. This system provides many benefits to the NASA Personnel Security Program. First, it frees the agency personnel security specialist from trouble-shooting and correcting all investigative problems. It also provides a learning tool for security processing staff at each installation. The system ensures that each installation security office is in compliance with all applicable laws, regulations and policies. Finally, eliminating overlapping, inappropriate and duplicative efforts to process employees saves many resources. The system was deployed less than a year ago. To date, it saved $1.2 million of the $1.5 million agency-wide personnel security budget.

  13. EXADS - EXPERT SYSTEM FOR AUTOMATED DESIGN SYNTHESIS

    NASA Technical Reports Server (NTRS)

    Rogers, J. L.

    1994-01-01

    The expert system called EXADS was developed to aid users of the Automated Design Synthesis (ADS) general purpose optimization program. Because of the general purpose nature of ADS, it is difficult for a nonexpert to select the best choice of strategy, optimizer, and one-dimensional search options from the one hundred or so combinations that are available. EXADS aids engineers in determining the best combination based on their knowledge of the problem and the expert knowledge previously stored by experts who developed ADS. EXADS is a customized application of the AESOP artificial intelligence program (the general version of AESOP is available separately from COSMIC. The ADS program is also available from COSMIC.) The expert system consists of two main components. The knowledge base contains about 200 rules and is divided into three categories: constrained, unconstrained, and constrained treated as unconstrained. The EXADS inference engine is rule-based and makes decisions about a particular situation using hypotheses (potential solutions), rules, and answers to questions drawn from the rule base. EXADS is backward-chaining, that is, it works from hypothesis to facts. The rule base was compiled from sources such as literature searches, ADS documentation, and engineer surveys. EXADS will accept answers such as yes, no, maybe, likely, and don't know, or a certainty factor ranging from 0 to 10. When any hypothesis reaches a confidence level of 90% or more, it is deemed as the best choice and displayed to the user. If no hypothesis is confirmed, the user can examine explanations of why the hypotheses failed to reach the 90% level. The IBM PC version of EXADS is written in IQ-LISP for execution under DOS 2.0 or higher with a central memory requirement of approximately 512K of 8 bit bytes. This program was developed in 1986.

  14. EXADS - EXPERT SYSTEM FOR AUTOMATED DESIGN SYNTHESIS

    NASA Technical Reports Server (NTRS)

    Rogers, J. L.

    1994-01-01

    The expert system called EXADS was developed to aid users of the Automated Design Synthesis (ADS) general purpose optimization program. Because of the general purpose nature of ADS, it is difficult for a nonexpert to select the best choice of strategy, optimizer, and one-dimensional search options from the one hundred or so combinations that are available. EXADS aids engineers in determining the best combination based on their knowledge of the problem and the expert knowledge previously stored by experts who developed ADS. EXADS is a customized application of the AESOP artificial intelligence program (the general version of AESOP is available separately from COSMIC. The ADS program is also available from COSMIC.) The expert system consists of two main components. The knowledge base contains about 200 rules and is divided into three categories: constrained, unconstrained, and constrained treated as unconstrained. The EXADS inference engine is rule-based and makes decisions about a particular situation using hypotheses (potential solutions), rules, and answers to questions drawn from the rule base. EXADS is backward-chaining, that is, it works from hypothesis to facts. The rule base was compiled from sources such as literature searches, ADS documentation, and engineer surveys. EXADS will accept answers such as yes, no, maybe, likely, and don't know, or a certainty factor ranging from 0 to 10. When any hypothesis reaches a confidence level of 90% or more, it is deemed as the best choice and displayed to the user. If no hypothesis is confirmed, the user can examine explanations of why the hypotheses failed to reach the 90% level. The IBM PC version of EXADS is written in IQ-LISP for execution under DOS 2.0 or higher with a central memory requirement of approximately 512K of 8 bit bytes. This program was developed in 1986.

  15. Artificial intelligence and expert systems in-flight software testing

    NASA Technical Reports Server (NTRS)

    Demasie, M. P.; Muratore, J. F.

    1991-01-01

    The authors discuss the introduction of advanced information systems technologies such as artificial intelligence, expert systems, and advanced human-computer interfaces directly into Space Shuttle software engineering. The reconfiguration automation project (RAP) was initiated to coordinate this move towards 1990s software technology. The idea behind RAP is to automate several phases of the flight software testing procedure and to introduce AI and ES into space shuttle flight software testing. In the first phase of RAP, conventional tools to automate regression testing have already been developed or acquired. There are currently three tools in use.

  16. Artificial intelligence and expert systems in-flight software testing

    NASA Technical Reports Server (NTRS)

    Demasie, M. P.; Muratore, J. F.

    1991-01-01

    The authors discuss the introduction of advanced information systems technologies such as artificial intelligence, expert systems, and advanced human-computer interfaces directly into Space Shuttle software engineering. The reconfiguration automation project (RAP) was initiated to coordinate this move towards 1990s software technology. The idea behind RAP is to automate several phases of the flight software testing procedure and to introduce AI and ES into space shuttle flight software testing. In the first phase of RAP, conventional tools to automate regression testing have already been developed or acquired. There are currently three tools in use.

  17. EMMA (Expert Missile Maintenance Aid): The Expert System for Munition Maintenance

    DTIC Science & Technology

    1988-07-01

    CONCLUDED) Electonic Systems Division 8b. OFFICE SYMBOL (CONCLUDED) ESD/XRS 8c. ADDRESS (CONCLUDED) Hanscom AFB, MA 01731-5003 19. ABSTRACT (CONCLUDED...325th Equipment Maintenance Squadron formed by the knowledge engineer . Since (EMS) at Tyndall AFB, Florida for an eval- expert system development is...development. The knowl- edge engineer and the expert verify the The argument could be made that EMMA expert system and identify potential cor- should accurately

  18. A methodology for uncertainty quantification in quantitative technology valuation based on expert elicitation

    NASA Astrophysics Data System (ADS)

    Akram, Muhammad Farooq Bin

    The management of technology portfolios is an important element of aerospace system design. New technologies are often applied to new product designs to ensure their competitiveness at the time they are introduced to market. The future performance of yet-to- be designed components is inherently uncertain, necessitating subject matter expert knowledge, statistical methods and financial forecasting. Estimates of the appropriate parameter settings often come from disciplinary experts, who may disagree with each other because of varying experience and background. Due to inherent uncertain nature of expert elicitation in technology valuation process, appropriate uncertainty quantification and propagation is very critical. The uncertainty in defining the impact of an input on performance parameters of a system makes it difficult to use traditional probability theory. Often the available information is not enough to assign the appropriate probability distributions to uncertain inputs. Another problem faced during technology elicitation pertains to technology interactions in a portfolio. When multiple technologies are applied simultaneously on a system, often their cumulative impact is non-linear. Current methods assume that technologies are either incompatible or linearly independent. It is observed that in case of lack of knowledge about the problem, epistemic uncertainty is the most suitable representation of the process. It reduces the number of assumptions during the elicitation process, when experts are forced to assign probability distributions to their opinions without sufficient knowledge. Epistemic uncertainty can be quantified by many techniques. In present research it is proposed that interval analysis and Dempster-Shafer theory of evidence are better suited for quantification of epistemic uncertainty in technology valuation process. Proposed technique seeks to offset some of the problems faced by using deterministic or traditional probabilistic approaches for

  19. Multiperspective analysis and testing of expert systems

    NASA Technical Reports Server (NTRS)

    Bollinger, Terry B.

    1986-01-01

    The paper describes a technique which the author developed for testing expert systems. The technique, which he calls multiperspective testing, can be applied during both the knowledge engineering phase and the acceptance testing phase of developing an exppert system. The first step in multiperspective testing is to define a group of performance measures ('perspectives') that focus on the behavior of the knowledge base. For each such measure, the results of testing are summarized in four scores, which the author calls 'expansion,' 'detection,' 'discrimination,' and 'comprehension.' These scores have the advantage of providing more specific information about how the knowledge base should be updated or corrected.

  20. Expert systems for C3I. Volume 1. A user's introduction

    NASA Astrophysics Data System (ADS)

    Clapp, J. A.; Hockett, S. M.; Prelle, M. J.; Tallant, A. M.; Triant, D. D.

    1985-10-01

    There has been a tremendous burgeoning of interest in artificial intelligence (AI) over the last few years. Investments of commercial and government sponsors reflect a widespread belief that AI is now ready for practical applications. The area of AI currently receiving the greatest attention and investment is expert system technology. Most major high tech corporations have begun to develop expert systems, and many software houses specializing in expert system tools and applications have recently appeared. The defense community is one of the heaviest investors in expert system technology, and within this community one of the application areas receiving greatest attention is C3I. Many ESD programs are now beginning to ask whether expert system applications for C3I are ready for incorporation into ESD-developed systems, and, if so, what are the potential benefits and risks of doing so. This report was prepared to help ESD and MITRE personnel working on acquisition programs to address these issues and to gain a better understanding of what expert systems are all about. The primary intention of this report is to investigate what expert systems are and the advances that are being made in expert system technology for C3I applications. The report begins with a brief tutorial on expert systems, emphasizing how they differ from conventional software systems and what they are best at doing.

  1. FIDEX: An expert system for satellite diagnostics

    NASA Technical Reports Server (NTRS)

    Durkin, John; Tallo, Donald; Petrik, Edward J.

    1991-01-01

    A Fault Isolation and Diagnostic Expert system (FIDEX) was developed for communication satellite diagnostics. It was designed specifically for the 30/20 GHz satellite transponder. The expert system was designed with a generic structure and features that make it applicable to other types of space systems. FIDEX is a frame based system that enjoys many of the inherent frame base features, such as hierarchy that describes the transponder's components, with other hierarchies that provide structural and fault information about the transponder. This architecture provides a flexible diagnostic structure and enhances maintenance of the system. FIDEX also includes an inexact reasoning technique and a primitive learning ability. Inexact reasoning was an important feature for this system due to the sparse number of sensors available to provide information on the transponder's performance. FIDEX can determine the most likely faulted component under the constraint of limited information. FIDEX learns about the most likely faults in the transponder by keeping a record of past established faults. FIDEX also has the ability to detect anomalies in the sensors that provide information on the transponders performance.

  2. Diagnosing the ZEUS experiment with the ZEX expert system

    SciTech Connect

    Behrens, U.; Flasinski, M.; Hagge, L.; Ohrenberg, K.

    1994-12-31

    ZEX is an expert system being developed to support operation of the ZEUS experiment. Based on the experience gained with a prototype version of the expert system, it was decided to implement the final system using a commercial expert system shell. Task of the expert system is to monitor all fields of information available online to achieve the highest efficiency of data taking by minimizing dead time of the detector and ensuring high quality of the data written to tape.

  3. Real-world natural language interfaces to expert systems

    SciTech Connect

    Cullingford, R.E.; Selfridge, M.

    1983-01-01

    ACE (academic counseling experiment) is a natural-language text processing system currently under development at the University of Connecticut as a testbed for work in real-world conversational interaction with rule-based expert systems. ACE is designed to perform the tasks of a faculty advisor of undergraduate engineering students who intend to be computer science majors at the university. The key problem for a conversational system of this sort is robust understanding, the ability to cope with ungrammatical, ellipsed, and otherwise variant, but responsive, input. The paper outlines ACE's current status and the progress toward testing it with real users. The authors believe it represents a technology which can be applied to a wide variety of rule-based expert systems. 22 references.

  4. Expert-System Consultant To Operating Personnel

    NASA Technical Reports Server (NTRS)

    Heard, Astrid E.; Pinkowski, Patrick P.; Adler, Richard M.; Hosken, R. Bruce

    1992-01-01

    Artificial intelligence aids engineers and technicians in controlling and monitoring complicated systems. Operations Analyst for Distributed Systems (OPERA) software is developmental suite of expert-system computer programs helping engineers and technicians operating from number of computer workstations to control and monitor spacecraft during prelaunch and launch phases of operation. OPERA designed to serve as consultant to operating engineers and technicians. It preprocesses incoming data, using expertise collected from conglomerate of specialists in design and operation of various parts of system. Driven by menus and mouse-activated commands. Modified versions of OPERA used in chemical-processing plants, factories, banks, and other enterprises in which there are distributed-computer systems including computers that monitor or control other computers.

  5. Expert-System Consultant To Operating Personnel

    NASA Technical Reports Server (NTRS)

    Heard, Astrid E.; Pinkowski, Patrick P.; Adler, Richard M.; Hosken, R. Bruce

    1992-01-01

    Artificial intelligence aids engineers and technicians in controlling and monitoring complicated systems. Operations Analyst for Distributed Systems (OPERA) software is developmental suite of expert-system computer programs helping engineers and technicians operating from number of computer workstations to control and monitor spacecraft during prelaunch and launch phases of operation. OPERA designed to serve as consultant to operating engineers and technicians. It preprocesses incoming data, using expertise collected from conglomerate of specialists in design and operation of various parts of system. Driven by menus and mouse-activated commands. Modified versions of OPERA used in chemical-processing plants, factories, banks, and other enterprises in which there are distributed-computer systems including computers that monitor or control other computers.

  6. Expert systems help design cementing and acidizing jobs

    SciTech Connect

    Onan, D.D.; Kulakofsky, D.; Van Domelen, M.S.; Ford, W.G.F. )

    1993-04-19

    Knowledge-based expert information systems can help train less-experienced designers and orient seasoned designers at new locations. These systems are playing an increased role in completion and production operations. Expert systems help: design treatments based on an accumulation of knowledge from experts; provide technical information and guidelines on the proper use of additives; and serve as a training tool for less-experienced personnel. The paper describes expert systems design; practical applications; and details about a cement job and acidizing.

  7. F-111 Wing Commander: A Mprolog Expert System

    DTIC Science & Technology

    1991-01-01

    MPROLOG is used to implement the expert system discussed in this paper. A description of the expert system , a F-111 Wing Commander Consultant , and its implementation, starting with the knowledge acquisition and design phases, are discussed in part 2. The problems encountered developing the expert system and problems due to MPROLOG are also presented. Finally, an evaluation of MPROLOG as an expert system development tool will make up part 3.

  8. Application of fuzzy expert systems for EOR project risk analysis

    SciTech Connect

    Ting-Horng, Chung; Carroll, H.B.; Lindsey, R.

    1995-12-31

    This work describes a new method for enhanced oil recovery (EOR) project preassessment. Instead of using the conventional costly simulation approach, a fuzzy expert system was developed. A database of EOR project costs and oil prices of the past decades was incorporated into the expert system. The EOR project risk-analysis includes three stages: (1) preliminary screening of EOR methods, (2) field performance estimation, and (3) economic analysis. Since this fuzzy expert system has incorporated both implemented EOR technology and experts` experience, it thus reduces the requirements of massive laboratory and field data for input. Estimates of displacement efficiency (E{sub d}) and sweep efficiency (E{sub v}) were formulated for each EOR process. E{sub d} and E{sub v} were treated as fuzzy variables. The overall recovery efficiency is evaluated from the product of Ed and Ev using fuzzy set arithmetic. Economic analysis is based on the estimated recovery efficiency, residual oil inplace, oil price, and operating costs. Examples of the application of the developed method for a CO{sub 2}-flooding project analysis is presented.

  9. Expert systems to aid in wind farm operations

    SciTech Connect

    Schluter, L.L. ); Nateghian, F. ); Luger, G.F. )

    1991-01-01

    An expert system is a knowledge-based program that provides solutions to problems in a specific domain by mimicking the behavior of a human expert. Expert systems can have several advantages over traditional programming methods; however, developing an expert system generally involves a considerable amount of time and money. Therefore, careful investigation must be done to ensure that a problem is suited for an expert system application. This paper examines several areas where an expert system may help wind farm operators lower their operational costs. Justifications for using expert systems rather than traditional programming methods are given. This paper also discusses some of the design decisions that were made in developing an expert system for US Windpower that will aid in diagnosing wind turbine failures. 11 refs., 3 figs.

  10. Expert systems to aid in wind farm operations

    NASA Astrophysics Data System (ADS)

    Schluter, L. L.; Nateghian, F.; Luger, G. F.

    1991-12-01

    An expert system is a knowledge-based program that provides solutions to problems in a specific domain by mimicking the behavior of a human expert. Expert systems can have several advantages over traditional programming methods; however, developing an expert system generally involves a considerable amount of time and money. Therefore, careful investigation must be done to ensure that a problem is suited for an expert system application. This paper examines several areas where an expert system may help wind farm operators lower their operational costs. Justifications for using expert systems rather than traditional programming methods are given. This paper also discusses some of the design decisions that were made in developing an expert system for US Windpower that will aid in diagnosing wind turbine failures.

  11. Design of a Recruiter Expert System

    DTIC Science & Technology

    1989-03-01

    NAVAL POSTGRADUATE SCHOOL 00 Monterey, California 00 0A TESIS DESIGN OF A RECRUITER EXPERT SYSTEM by Nanette M. Lorry March 1989 Thesis Advisor: Tung...achieve goal to have to pick up the slack of the others. In Fiscal Year 1988 the Navy Recruiting Command missed its new contract goal by 4428 contracts...Ref. 11]. In Fiscal Year 1989 the accessions goal (Butts on the bus) is 94,803. This number is broken down as follows: Males 79,953 Upper Mental

  12. Teaching Mineral-Identification Skills Using an Expert System Computer Program Incorporating Digitized Video Images.

    ERIC Educational Resources Information Center

    Diemer, John Andrew; And Others

    1989-01-01

    Describes a computer program which represents the first merger of an expert system and imaging technology into a tool to assist in learning mineral identification. Presents a discussion of the system's development, evaluation of effectiveness, and future modifications. (RT)

  13. Expert systems and advanced automation for space missions operations

    NASA Astrophysics Data System (ADS)

    Durrani, Sajjad H.; Perkins, Dorothy C.; Carlton, P. Douglas

    1990-10-01

    Increased complexity of space missions during the 1980s led to the introduction of expert systems and advanced automation techniques in mission operations. This paper describes several technologies in operational use or under development at the National Aeronautics and Space Administration's Goddard Space Flight Center. Several expert systems are described that diagnose faults, analyze spacecraft operations and onboard subsystem performance (in conjunction with neural networks), and perform data quality and data accounting functions. The design of customized user interfaces is discussed, with examples of their application to space missions. Displays, which allow mission operators to see the spacecraft position, orientation, and configuration under a variety of operating conditions, are described. Automated systems for scheduling are discussed, and a testbed that allows tests and demonstrations of the associated architectures, interface protocols, and operations concepts is described. Lessons learned are summarized.

  14. [Expert systems in risk assessment. Risk or opportunity?].

    PubMed

    Lohn, H

    1997-06-01

    Experts underwriting systems in the risk selection of individual life insurance have a high place value and are, in future, indispensable in the daily underwriting process. The chance to reduce drastically dual operations enables the insurance companies to make more cost-efficient underwriting decisions. The rapidly advancing technology develops not only new dimensions for individualism and for providing customer service but also for a fast underwriting process which is of great benefit to the insurers who are up against stiff competition. The qualified underwriter and the physician will be relieved of standard work and have more time in investing their knowledge and know-how in the underwriting process which calls for an absolutely individual reflection. New activities are inevitably ahead of this group of persons: Maintenance and attendance of the experts system! A task with which the quality of such a system stands and falls. We are expectant to see what the future has in store for this field.

  15. Expert Graphics System Research in the Department of the Navy.

    ERIC Educational Resources Information Center

    Duff, Jon M.

    1987-01-01

    Presents current trends in the development of expert systems within the Department of the Navy, particularly research into expert graphics systems intended to support the Authoring Instructional Methods (AIM) research project. Defines artificial intelligence and expert systems. Discusses the operations and functions of the Navy's intelligent…

  16. Expert Systems--The New International Language of Business.

    ERIC Educational Resources Information Center

    Sondak, Norman E.; And Others

    A discussion of expert systems, computer programs designed to simulate human reasoning and expertise, begins with the assumption that few business educators understand the impact that expert systems will have on international business. The fundamental principles of the design and development of expert systems in business are outlined, with special…

  17. Development of an instructional expert system for hole drilling processes

    NASA Technical Reports Server (NTRS)

    Al-Mutawa, Souhaila; Srinivas, Vijay; Moon, Young Bai

    1990-01-01

    An expert system which captures the expertise of workshop technicians in the drilling domain was developed. The expert system is aimed at novice technicians who know how to operate the machines but have not acquired the decision making skills that are gained with experience. This paper describes the domain background and the stages of development of the expert system.

  18. Expert Systems--The New International Language of Business.

    ERIC Educational Resources Information Center

    Sondak, Norman E.; And Others

    A discussion of expert systems, computer programs designed to simulate human reasoning and expertise, begins with the assumption that few business educators understand the impact that expert systems will have on international business. The fundamental principles of the design and development of expert systems in business are outlined, with special…

  19. Expert System Shells: Tools to Aid Human Performance.

    ERIC Educational Resources Information Center

    Welsh, Jack R.; Wilson, Brent G.

    1987-01-01

    Examines expert system shells and the role a microcomputer-based expert system can play as an intelligent job aid. Characteristics of traditional and automated job aids techniques are described, and the role of instructional designers in developing expert systems within organizations is discussed. (Author/LRW)

  20. Empirical Analysis and Refinement of Expert System Knowledge Bases.

    DTIC Science & Technology

    1987-11-30

    Knowledge base refinement is the modification of an existing expert system knowledge base with the goals of localizing specific weaknesses in a... expert system techniques for knowledge acquisition, knowledge base refinement, maintenance, and verification....on the related problems of knowledge base acquisition, maintenance, verification, and learning from experience. The SEEK system was the first expert

  1. Implementation of an Oceanographic Expert System: Problems, Feedback, Solutions

    DTIC Science & Technology

    1990-04-01

    An oceanographic expert system to describe the evolution of the Gulf Stream and its rings has been developed at NOARL. Our latest results show the... expert system to be more than 60 percent accurate in ring location predictions. The structural composition of the implemented expert system consists of

  2. Expert System for Software Quality Assurance. User’s Manual,

    DTIC Science & Technology

    1986-11-01

    This user’s manual describes the execution of an expert system for Software Quality Assurance (SQA). The objective of the expert system is to capture...which are all included in the batch file called SQA.BAT. The primary component is the expert system , which was developed using the EXSYS development

  3. Expert Systems, Shells, and Schools: Present Practice, Future Prospects.

    ERIC Educational Resources Information Center

    Conlon, Tom; Bowman, Norman

    1995-01-01

    Examines present and future uses of expert system shells in schools, assesses three expert system shells, and proposes criteria for future learning by knowledge-based models. A discussion and tables present results of questionnaires sent to secondary schools teachers in Scotland to determine the use and impact of expert system shells in secondary…

  4. Mastering Engineering Concepts by Building an Expert System.

    ERIC Educational Resources Information Center

    Starfield, A. M.; And Others

    1983-01-01

    Discusses the nature of and steps required in building an expert system. Includes comments by students given an assignment to choose a suitable topic and develop a small expert system related to that topic, as well as favorable faculty comments on the strategy. Also includes a student-developed expert system on rock-blasting. (JN)

  5. Computer Guided Educational Diagnosis: A Prototype Expert System.

    ERIC Educational Resources Information Center

    Colbourn, Marlene; McLeod, John

    1983-01-01

    The article reviews some recent literature pertaining to development and use of expert systems (automated consulting systems, which provide expert advice within particular domains). The design and implementation of an expert system developed to guide a teacher diagnostician through the various stages of diagnosing reading difficulities are…

  6. A PC based fault diagnosis expert system

    NASA Technical Reports Server (NTRS)

    Marsh, Christopher A.

    1990-01-01

    The Integrated Status Assessment (ISA) prototype expert system performs system level fault diagnosis using rules and models created by the user. The ISA evolved from concepts to a stand-alone demonstration prototype using OPS5 on a LISP Machine. The LISP based prototype was rewritten in C and the C Language Integrated Production System (CLIPS) to run on a Personal Computer (PC) and a graphics workstation. The ISA prototype has been used to demonstrate fault diagnosis functions of Space Station Freedom's Operation Management System (OMS). This paper describes the development of the ISA prototype from early concepts to the current PC/workstation version used today and describes future areas of development for the prototype.

  7. A Rocket Engine Design Expert System

    NASA Technical Reports Server (NTRS)

    Davidian, Kenneth J.

    1989-01-01

    The overall structure and capabilities of an expert system designed to evaluate rocket engine performance are described. The expert system incorporates a JANNAF standard reference computer code to determine rocket engine performance and a state of the art finite element computer code to calculate the interactions between propellant injection, energy release in the combustion chamber, and regenerative cooling heat transfer. Rule-of-thumb heuristics were incorporated for the H2-O2 coaxial injector design, including a minimum gap size constraint on the total number of injector elements. One dimensional equilibrium chemistry was used in the energy release analysis of the combustion chamber. A 3-D conduction and/or 1-D advection analysis is used to predict heat transfer and coolant channel wall temperature distributions, in addition to coolant temperature and pressure drop. Inputting values to describe the geometry and state properties of the entire system is done directly from the computer keyboard. Graphical display of all output results from the computer code analyses is facilitated by menu selection of up to five dependent variables per plot.

  8. A rocket engine design expert system

    NASA Technical Reports Server (NTRS)

    Davidian, Kenneth J.

    1989-01-01

    The overall structure and capabilities of an expert system designed to evaluate rocket engine performance are described. The expert system incorporates a JANNAF standard reference computer code to determine rocket engine performance and a state-of-the-art finite element computer code to calculate the interactions between propellant injection, energy release in the combustion chamber, and regenerative cooling heat transfer. Rule-of-thumb heuristics were incorporated for the hydrogen-oxygen coaxial injector design, including a minimum gap size constraint on the total number of injector elements. One-dimensional equilibrium chemistry was employed in the energy release analysis of the combustion chamber and three-dimensional finite-difference analysis of the regenerative cooling channels was used to calculate the pressure drop along the channels and the coolant temperature as it exits the coolant circuit. Inputting values to describe the geometry and state properties of the entire system is done directly from the computer keyboard. Graphical display of all output results from the computer code analyses is facilitated by menu selection of up to five dependent variables per plot.

  9. Techniques for capturing expert knowledge - An expert systems/hypertext approach

    NASA Technical Reports Server (NTRS)

    Lafferty, Larry; Taylor, Greg; Schumann, Robin; Evans, Randy; Koller, Albert M., Jr.

    1990-01-01

    The knowledge-acquisition strategy developed for the Explosive Hazards Classification (EHC) Expert System is described in which expert systems and hypertext are combined, and broad applications are proposed. The EHC expert system is based on rapid prototyping in which primary knowledge acquisition from experts is not emphasized; the explosive hazards technical bulletin, technical guidance, and minimal interviewing are used to develop the knowledge-based system. Hypertext is used to capture the technical information with respect to four issues including procedural, materials, test, and classification issues. The hypertext display allows the integration of multiple knowlege representations such as clarifications or opinions, and thereby allows the performance of a broad range of tasks on a single machine. Among other recommendations, it is suggested that the integration of hypertext and expert systems makes the resulting synergistic system highly efficient.

  10. Techniques for capturing expert knowledge - An expert systems/hypertext approach

    NASA Technical Reports Server (NTRS)

    Lafferty, Larry; Taylor, Greg; Schumann, Robin; Evans, Randy; Koller, Albert M., Jr.

    1990-01-01

    The knowledge-acquisition strategy developed for the Explosive Hazards Classification (EHC) Expert System is described in which expert systems and hypertext are combined, and broad applications are proposed. The EHC expert system is based on rapid prototyping in which primary knowledge acquisition from experts is not emphasized; the explosive hazards technical bulletin, technical guidance, and minimal interviewing are used to develop the knowledge-based system. Hypertext is used to capture the technical information with respect to four issues including procedural, materials, test, and classification issues. The hypertext display allows the integration of multiple knowlege representations such as clarifications or opinions, and thereby allows the performance of a broad range of tasks on a single machine. Among other recommendations, it is suggested that the integration of hypertext and expert systems makes the resulting synergistic system highly efficient.

  11. A Single-Station Weather Forecasting Expert System.

    DTIC Science & Technology

    1987-08-01

    This report describes the development of an early prototype expert system for the classical single-station weather forecasting problem. The skills...which include communications interruptions. Knowledge for the expert system was obtained from a meteorologist experienced in single-station weather...other functions and procedures written in LISP. The expert , system is able to emulate the expert for a several day case study used in the development

  12. Explainable expert systems: A research program in information processing

    NASA Technical Reports Server (NTRS)

    Paris, Cecile L.

    1993-01-01

    Our work in Explainable Expert Systems (EES) had two goals: to extend and enhance the range of explanations that expert systems can offer, and to ease their maintenance and evolution. As suggested in our proposal, these goals are complementary because they place similar demands on the underlying architecture of the expert system: they both require the knowledge contained in a system to be explicitly represented, in a high-level declarative language and in a modular fashion. With these two goals in mind, the Explainable Expert Systems (EES) framework was designed to remedy limitations to explainability and evolvability that stem from related fundamental flaws in the underlying architecture of current expert systems.

  13. Expert system for first order inelastic analysis of transmission towers

    SciTech Connect

    Miller, M.; Kempner, L. Jr. ); Mueller, W. III )

    1992-01-01

    The concept of an Expert System is not new. It has been around since the days of the early computers when scientists had dreams of robot automation to do everything from washing windows to automobile design. This paper discusses an application of an expert system and addresses software development issues and various levels of expert system development form a structural engineering viewpoint. An expert system designed to aid the structural engineer in first order inelastic analysis of latticed steel transmission powers is presented. The utilization of expert systems with large numerical analysis programs is discussed along with the software development of such a system.

  14. Real time AI expert system for robotic applications

    NASA Technical Reports Server (NTRS)

    Follin, John F.

    1987-01-01

    A computer controlled multi-robot process cell to demonstrate advanced technologies for the demilitarization of obsolete chemical munitions was developed. The methods through which the vision system and other sensory inputs were used by the artificial intelligence to provide the information required to direct the robots to complete the desired task are discussed. The mechanisms that the expert system uses to solve problems (goals), the different rule data base, and the methods for adapting this control system to any device that can be controlled or programmed through a high level computer interface are discussed.

  15. Real time AI expert system for robotic applications

    NASA Technical Reports Server (NTRS)

    Follin, John F.

    1987-01-01

    A computer controlled multi-robot process cell to demonstrate advanced technologies for the demilitarization of obsolete chemical munitions was developed. The methods through which the vision system and other sensory inputs were used by the artificial intelligence to provide the information required to direct the robots to complete the desired task are discussed. The mechanisms that the expert system uses to solve problems (goals), the different rule data base, and the methods for adapting this control system to any device that can be controlled or programmed through a high level computer interface are discussed.

  16. Program for Experimentation With Expert Systems

    NASA Technical Reports Server (NTRS)

    Engle, S. W.

    1986-01-01

    CERBERUS is forward-chaining, knowledge-based system program useful for experimentation with expert systems. Inference-engine mechanism performs deductions according to user-supplied rule set. Information stored in intermediate area, and user interrogated only when no applicable data found in storage. Each assertion posed by CERBERUS answered with certainty ranging from 0 to 100 percent. Rule processor stops investigating applicable rules when goal reaches certainty of 95 percent or higher. Capable of operating for wide variety of domains. Sample rule files included for animal identification, pixel classification in image processing, and rudimentary car repair for novice mechanic. User supplies set of end goals or actions. System complexity decided by user's rule file. CERBERUS written in FORTRAN 77.

  17. Computer Series, 82. The Application of Expert Systems in the General Chemistry Laboratory.

    ERIC Educational Resources Information Center

    Settle, Frank A., Jr.

    1987-01-01

    Describes the construction of expert computer systems using artificial intelligence technology and commercially available software, known as an expert system shell. Provides two applications; a simple one, the identification of seven white substances, and a more complicated one involving the qualitative analysis of six metal ions. (TW)

  18. An Ada inference engine for expert systems

    NASA Technical Reports Server (NTRS)

    Lavallee, David B.

    1986-01-01

    The purpose is to investigate the feasibility of using Ada for rule-based expert systems with real-time performance requirements. This includes exploring the Ada features which give improved performance to expert systems as well as optimizing the tradeoffs or workarounds that the use of Ada may require. A prototype inference engine was built using Ada, and rule firing rates in excess of 500 per second were demonstrated on a single MC68000 processor. The knowledge base uses a directed acyclic graph to represent production lines. The graph allows the use of AND, OR, and NOT logical operators. The inference engine uses a combination of both forward and backward chaining in order to reach goals as quickly as possible. Future efforts will include additional investigation of multiprocessing to improve performance and creating a user interface allowing rule input in an Ada-like syntax. Investigation of multitasking and alternate knowledge base representations will help to analyze some of the performance issues as they relate to larger problems.

  19. Results From The First Interactive Scientific Expert System In Space

    NASA Technical Reports Server (NTRS)

    Groleau, Nicolas; Frainier, Richard J.; Friedland, Peter (Technical Monitor)

    1994-01-01

    We describe recent work on automation and support of science experiments on the Space Shuttle. PI-in-a-Box, the first interactive expert system for scientific support, was flown onboard STS-58 in October 1993. It was designed to help astronauts perform better science in space by providing expert-level advice in real-time. The system provides help with 'technician' tasks such as data acquisition, data quality monitoring, and diagnostic, troubleshooting and repair. The system also performs 'expert' reasoning on the scientific model and experiment steps scheduling. It can make scheduling recommendations based on hardware status, time available, and agreement between predictions and flight data. The system was successfully deployed and used throughout the mission. Most of the 'technician' skills of the system were used with success. The scientific model study performed correctly, but we believe the results were not exploited by the astronauts because of Spacelab operational pressures. Also, portions of the system were designed around rigid schedule constraints that were essentially relaxed during the mission. This version was tailored to a specific vestibular experiment known as the 'rotating dome'. We are currently expanding our effort in various scientific (other life and microgravity sciences experiments) and technological directions (integrated telescience, astronaut science advisor, and autonomous control).

  20. Results from the First Interactive Scientific Expert System in Space

    NASA Technical Reports Server (NTRS)

    Groleau, Nicolas; Frainier, Richard J.; Friedland, Peter (Technical Monitor)

    1994-01-01

    We describe recent work on automation and support of science experiments on the Space Shuttle. PI-in-a-Box, the first interactive expert system for scientific support, was flown onboard STS-58 in October 1993. It was designed to help astronauts perform better science in space by providing expert-level advice in real-time. The system provides help with "technician" tasks such as data acquisition, data quality monitoring, and diagnostic, troubleshooting and repair. The system also performs "expert" reasoning on the scientific model and experiment steps scheduling. It can make scheduling recommendations based on hardware status, time available, and agreement between predictions and flight data. The system was successfully deployed and used throughout the mission. Most of the "technician" skills of the system were used with success. The scientific model study performed correctly, but we believe the results were not exploited by the astronauts because of Spacelab operational pressures. Also, portions of the system were designed around rigid schedule constraints that were essentially relaxed during the mission. This version was tailored to a specific vestibular experiment known as the "rotating dome". We are currently expanding our effort in various scientific (other life and microgravity sciences experiments) and technological directions (integrated telescience, astronaut science advisor, and autonomous control).

  1. Results from the First Interactive Scientific Expert System in Space

    NASA Technical Reports Server (NTRS)

    Groleau, Nicolas; Frainier, Richard J.; Friedland, Peter (Technical Monitor)

    1994-01-01

    We describe recent work on automation and support of science experiments on the Space Shuttle. PI-in-a-Box, the first interactive expert system for scientific support, was flown onboard STS-58 in October 1993. It was designed to help astronauts perform better science in space by providing expert-level advice in real-time. The system provides help with "technician" tasks such as data acquisition, data quality monitoring, and diagnostic, troubleshooting and repair. The system also performs "expert" reasoning on the scientific model and experiment steps scheduling. It can make scheduling recommendations based on hardware status, time available, and agreement between predictions and flight data. The system was successfully deployed and used throughout the mission. Most of the "technician" skills of the system were used with success. The scientific model study performed correctly, but we believe the results were not exploited by the astronauts because of Spacelab operational pressures. Also, portions of the system were designed around rigid schedule constraints that were essentially relaxed during the mission. This version was tailored to a specific vestibular experiment known as the "rotating dome". We are currently expanding our effort in various scientific (other life and microgravity sciences experiments) and technological directions (integrated telescience, astronaut science advisor, and autonomous control).

  2. Results From The First Interactive Scientific Expert System In Space

    NASA Technical Reports Server (NTRS)

    Groleau, Nicolas; Frainier, Richard J.; Friedland, Peter (Technical Monitor)

    1994-01-01

    We describe recent work on automation and support of science experiments on the Space Shuttle. PI-in-a-Box, the first interactive expert system for scientific support, was flown onboard STS-58 in October 1993. It was designed to help astronauts perform better science in space by providing expert-level advice in real-time. The system provides help with 'technician' tasks such as data acquisition, data quality monitoring, and diagnostic, troubleshooting and repair. The system also performs 'expert' reasoning on the scientific model and experiment steps scheduling. It can make scheduling recommendations based on hardware status, time available, and agreement between predictions and flight data. The system was successfully deployed and used throughout the mission. Most of the 'technician' skills of the system were used with success. The scientific model study performed correctly, but we believe the results were not exploited by the astronauts because of Spacelab operational pressures. Also, portions of the system were designed around rigid schedule constraints that were essentially relaxed during the mission. This version was tailored to a specific vestibular experiment known as the 'rotating dome'. We are currently expanding our effort in various scientific (other life and microgravity sciences experiments) and technological directions (integrated telescience, astronaut science advisor, and autonomous control).

  3. Expert systems built by the Expert: An evaluation of OPS5

    NASA Technical Reports Server (NTRS)

    Jackson, Robert

    1987-01-01

    Two expert systems were written in OPS5 by the expert, a Ph.D. astronomer with no prior experience in artificial intelligence or expert systems, without the use of a knowledge engineer. The first system was built from scratch and uses 146 rules to check for duplication of scientific information within a pool of prospective observations. The second system was grafted onto another expert system and uses 149 additional rules to estimate the spacecraft and ground resources consumed by a set of prospective observations. The small vocabulary, the IF this occurs THEN do that logical structure of OPS5, and the ability to follow program execution allowed the expert to design and implement these systems with only the data structures and rules of another OPS5 system as an example. The modularity of the rules in OPS5 allowed the second system to modify the rulebase of the system onto which it was grafted without changing the code or the operation of that system. These experiences show that experts are able to develop their own expert systems due to the ease of programming and code reusability in OPS5.

  4. Approaches to the verification of rule-based expert systems

    NASA Technical Reports Server (NTRS)

    Culbert, Chris; Riley, Gary; Savely, Robert T.

    1987-01-01

    Expert systems are a highly useful spinoff of artificial intelligence research. One major stumbling block to extended use of expert systems is the lack of well-defined verification and validation (V and V) methodologies. Since expert systems are computer programs, the definitions of verification and validation from conventional software are applicable. The primary difficulty with expert systems is the use of development methodologies which do not support effective V and V. If proper techniques are used to document requirements, V and V of rule-based expert systems is possible, and may be easier than with conventional code. For NASA applications, the flight technique panels used in previous programs should provide an excellent way to verify the rules used in expert systems. There are, however, some inherent differences in expert systems that will affect V and V considerations.

  5. Howard University Energy Expert Systems Institute Summer Program (EESI)

    NASA Technical Reports Server (NTRS)

    Momoh, James A.; Chuku, Arunsi; Abban, Joseph

    1996-01-01

    Howard University, under the auspices of the Center for Energy Systems and Controls runs the Energy Expert Systems Institute (EESI) summer outreach program for high school/pre-college minority students. The main objectives are to introduce precollege minority students to research in the power industry using modern state-of-the-art technology such as Expert Systems, Fuzzy Logic and Artificial Neural Networks; to involve minority students in space power management, systems and failure diagnosis; to generate interest in career options in electrical engineering; and to experience problem-solving in a teamwork environment consisting of faculty, senior research associates and graduate students. For five weeks the students are exposed not only to the exciting experience of college life, but also to the inspiring field of engineering, especially electrical engineering. The program consists of lectures in the fundamentals of engineering, mathematics, communication skills and computer skills. The projects are divided into mini and major. Topics for the 1995 mini projects were Expert Systems for the Electric Bus and Breast Cancer Detection. Topics on the major projects include Hybrid Electric Vehicle, Solar Dynamics and Distribution Automation. On the final day, designated as 'EESI Day' the students did oral presentations of their projects and prizes were awarded to the best group. The program began in the summer of 1993. The reaction from the students has been very positive. The program also arranges field trips to special places of interest such as the NASA Goddard Space Center.

  6. Howard University Energy Expert Systems Institute Summer Program (EESI)

    NASA Technical Reports Server (NTRS)

    Momoh, James A.; Chuku, Arunsi; Abban, Joseph

    1996-01-01

    Howard University, under the auspices of the Center for Energy Systems and Controls runs the Energy Expert Systems Institute (EESI) summer outreach program for high school/pre-college minority students. The main objectives are to introduce precollege minority students to research in the power industry using modern state-of-the-art technology such as Expert Systems, Fuzzy Logic and Artificial Neural Networks; to involve minority students in space power management, systems and failure diagnosis; to generate interest in career options in electrical engineering; and to experience problem-solving in a teamwork environment consisting of faculty, senior research associates and graduate students. For five weeks the students are exposed not only to the exciting experience of college life, but also to the inspiring field of engineering, especially electrical engineering. The program consists of lectures in the fundamentals of engineering, mathematics, communication skills and computer skills. The projects are divided into mini and major. Topics for the 1995 mini projects were Expert Systems for the Electric Bus and Breast Cancer Detection. Topics on the major projects include Hybrid Electric Vehicle, Solar Dynamics and Distribution Automation. On the final day, designated as 'EESI Day' the students did oral presentations of their projects and prizes were awarded to the best group. The program began in the summer of 1993. The reaction from the students has been very positive. The program also arranges field trips to special places of interest such as the NASA Goddard Space Center.

  7. Knowing for Nursing Practice: Patterns of Knowledge and Their Emulation in Expert Systems

    PubMed Central

    Abraham, Ivo L.; Fitzpatrick, Joyce J.

    1987-01-01

    This paper addresses the issue of clinical knowledge in nursing, and the feasibility of emulating this knowledge into expert system technology. The perspective on patterns of knowing for nursing practice, advanced by Carper (1978), serves as point of departure. The four patterns of knowing -- empirics, esthetics, ethics, personal knowledge -- are evaluated as to the extent to which they can be emulated in clinical expert systems, given constraints imposed by the current technology of these systems.

  8. Meta-expert system for cargo container screening

    NASA Astrophysics Data System (ADS)

    Alberts, David S.

    1994-02-01

    This paper reports upon improvements and extensions of rule-based expert systems and related technologies in the context of their application to the cargo container screening problem. These innovations have been incorporated into a system built for and deployed by U.S. Customs with funding provided by the DCI's Counter Narcotics Committee. Given the serious nature of the drug smuggling threat and the low probability of intercept, the ability to target the extremely limited inspectional resources available to U.S. Customs is a prerequisite for success in fighting the `Drug War.'

  9. Expanding the domain of a prototype expert system with an eye on future maintenance - The FIESTA case study

    NASA Technical Reports Server (NTRS)

    Happell, Nadine; Miksell, Steven G.

    1989-01-01

    The methods by which an expert system architecture can support such key elements of domain expansion and maintenance as knowledge acquisition, representation, addition, and modification, are presently illustrated by the Fault Isolation Expert System for TDRSS Applications (FIESTA). FIESTA highlights such similarities between conventional software engineering and expert system development as the benefits that accrue to loose coupling, modularity, and documentation. A major difference, however, is the set of opportunities afforded automated end-user maintenance by expert system technology.

  10. Expanding the domain of a prototype expert system with an eye on future maintenance - The FIESTA case study

    NASA Technical Reports Server (NTRS)

    Happell, Nadine; Miksell, Steven G.

    1989-01-01

    The methods by which an expert system architecture can support such key elements of domain expansion and maintenance as knowledge acquisition, representation, addition, and modification, are presently illustrated by the Fault Isolation Expert System for TDRSS Applications (FIESTA). FIESTA highlights such similarities between conventional software engineering and expert system development as the benefits that accrue to loose coupling, modularity, and documentation. A major difference, however, is the set of opportunities afforded automated end-user maintenance by expert system technology.

  11. An Automatic Document Indexing System Based on Cooperating Expert Systems: Design and Development.

    ERIC Educational Resources Information Center

    Schuegraf, Ernst J.; van Bommel, Martin F.

    1993-01-01

    Describes the design of an automatic indexing system that is based on statistical techniques and expert system technology. Highlights include system architecture; the derivation of topic indicators, including word frequency; experimental results using documents from ERIC; the effects of stemming; and the identification of characteristic…

  12. A expert system for locating distribution system faults

    SciTech Connect

    Hsu, Y.Y.; Lu, F.C.; Chien, Y. . Dept. of Electrical Engineering); Liu, J.P.; Lin, J.T. ); Yu, H.S.; Kuo, R.T )

    1991-01-01

    A rule-based expert system is designed to locate the faults in a distribution system. Distribution system component data and network topology are stored in the database. A set of heuristic rules are compiled from the dispatchers' experience and are imbedded in the rule base. To locate distribution system fault, an inference engine is developed to perform deductive reasonings on the rules in the knowledge base. The inference engine comprises three major parts: the dynamic searching method, the backtracking approach, and the set intersection operation. The expert system is implemented on a personal computer using the artificial intelligence language PROLOG. To demonstrate the effectiveness of the proposed approach, the expert system has been applied to locate faults in a real underground distribution system.

  13. Real-time space system control with expert systems

    NASA Technical Reports Server (NTRS)

    Leinweber, David; Hawkinson, Lowell; Perry, John

    1988-01-01

    Many aspects of space system operations involve continuous control of real time processes. These processes include electrical power system monitoring, prelaunch and ongoing propulsion system health and maintenance, environmental and life support systems, space suit checkout, onboard manufacturing, and vehicle servicing including satellites, shuttles, orbital maneuvering vehicles, orbital transfer vehicles and remote teleoperators. Traditionally, monitoring of these critical real time processes has been done by trained human experts monitoring telemetry data. However, the long duration of future space missions and the high cost of crew time in space creates a powerful economic incentive for the development of highly autonomous knowledge based expert control procedures for these space systems.

  14. DEASEL: An expert system for software engineering

    NASA Technical Reports Server (NTRS)

    Valett, J. D.; Raskin, A.

    1985-01-01

    For the past ten year, the Software Engineering Laboratory (SEL) has been collecting data on software projects carried out in the Systems Development Branch of the Flight Dynamics Division at NASA's Goddard Space Flight Center. Through a series of studies using this data, much knowledge has been gained on how software is developed within this environment. Two years ago work began on a software tool which would make this knowledge readily available to software managers. Ideally, the Dynamic Management Information Tool (DynaMITe) will aid managers in comparison across projects, prediction of a project's future, and assessment of a project's current state. This paper describes an effort to create the assessment portion of DynaMITe, called the DynaMITe Expert Advisor for the SEL (DEASEL).

  15. An hierarchical approach to performance evaluation of expert systems

    NASA Technical Reports Server (NTRS)

    Dominick, Wayne D. (Editor); Kavi, Srinu

    1985-01-01

    The number and size of expert systems is growing rapidly. Formal evaluation of these systems - which is not performed for many systems - increases the acceptability by the user community and hence their success. Hierarchical evaluation that had been conducted for computer systems is applied for expert system performance evaluation. Expert systems are also evaluated by treating them as software systems (or programs). This paper reports many of the basic concepts and ideas in the Performance Evaluation of Expert Systems Study being conducted at the University of Southwestern Louisiana.

  16. Causal Reasoning In Diagnostic Expert Systems

    NASA Astrophysics Data System (ADS)

    Torasso, Pietro; Console, Luca

    1987-05-01

    In order to deal efficiently with difficult diagnostic problems, deep models (based on causal knowledge) have been adopted in some experimental diagnostic expert system. This paper describes a two levels architecture for a diagnostic expert system: CHECK (Combining HEuristic and Causal Knowledge). CHECK is based on the close interaction of two levels of knowledge representation, heuristic and causal respectively. In the heuristic (shallow) level knowledge is represented by means of a hybrid formalism combining at various levels frames and production rules; in the deep level knowledge is represented by means of causal networks in which (physical or physiological) states are connected via cause-effect relations. The two levels strictly cooperate in the diagnostic process, in particular the heuristic level is used to focus reasoning, generating diagnostic hypotheses to be refined, confirmed (disconfirmed) and explained by the deep level. Heuristic (surface) level knowledge is invoked first to generate diagnostic hypotheses. These hypotheses are then passed to the underlying level for a deep confirmation (so that they are used to focus reasoning in the causal network). If a hypothesis can be confirmed, a precise explanation is generated, unaccounted and/or unexpected data are taken into account and correlated hypotheses suggested. If a hypothesis is rejected, alternative hypotheses to be considered are suggested to the surface level. Deep level knowledge can be used also to provide general explanations about the causal model of the domain, independently from the data of a particular consultation. As an example for validating the architectural choices of CHECK we have implemented a version of it for diagnostic reasoning in the field of hepatology. Production rules, frames and causal networks are described by the knowledge engineer in a knowledge representation language we have designed and then coded, through the use of a preprocessing tool, in Prolog. Particular object

  17. Expert system to control a fusion energy experiment

    SciTech Connect

    Johnson, R.R.; Canales, T.; Lager, D.

    1986-01-01

    This paper describes a system that automates neutral beam source conditioning. The system achieves this with artificial intelligence techniques by encoding the behavior of several experts as a set of if-then rules in an expert system. One of the functions of the expert system is to control an adaptive controller that, in turn, controls the neutral beam source. The architecture of the system is presented followed by a description of its performance.

  18. CLIPS: An expert system tool for delivery and training

    NASA Technical Reports Server (NTRS)

    Riley, Gary; Culbert, Chris; Savely, Robert T.; Lopez, Frank

    1987-01-01

    The C Language Integrated Production System (CLIPS) is a forward chaining rule-based language. The requirements necessary for an expert system tool which is used for development, delivery, and training are examined. Because of its high portability, low cost, and ease of integration with external systems, CLIPS has great potential as an expert system tool for delivery and training. In addition, its representation flexibility, debugging aids, and performance, along with its other strengths, make it a viable alternative for expert system development.

  19. Scientific Problem Solving by Expert Systems.

    ERIC Educational Resources Information Center

    Good, Ron

    1984-01-01

    Human expert problem-solving in science is defined and used to account for scientific discovery. These ideas are used to describe BACON.5, a machine expert problem solver that discovers scientific laws using data-driver heuristics and "expectations" such as symmetry. Implications of BACON.5 type research for traditional science education…

  20. Expert system for neurosurgical treatment planning

    NASA Astrophysics Data System (ADS)

    Cheng, Andrew Y. S.; Chung, Sally S. Y.; Kwok, John C. K.

    1996-04-01

    A specially designed expert system is in development for neurosurgical treatment planning. The knowledge base contains knowledge and experiences on neurosurgical treatment planning from neurosurgeon consultants, who also determine the risks of different regions in human brains. When completed, the system can simulate the decision making process of neurosurgeons to determine the safest probing path for operation. The Computed Tomography (CT) or Magnetic Resonance Imaging (MRI) scan images for each patient are grabbed as the input. The system also allows neurosurgeons to include for any particular patient the additional information, such as how the tumor affects its neighboring functional regions, which is also important for calculating the safest probing path. It can then consider all the relevant information and find the most suitable probing path on the patient's brain. A 3D brain model is constructed for each set of the CT/MRI scan images and is displayed real-time together with the possible probing paths found. The precise risk value of each path is shown as a number between 0 and 1, together with its possible damages in text. Neurosurgeons can view more than one possible path simultaneously, and make the final decision on the selected path for operation.

  1. Architecture and Allocation Considerations for Group Expert Systems

    DTIC Science & Technology

    1988-03-01

    This thesis investigates the design, communication, and allocation considerations for implementing a distributed group expert system on a Local Area...Network. A model system called GESP (Group Expert System Prototype) was implemented in Prolog on a microcomputer LAN to be used as a working platform...From observations of the model, conclusions have been drawn concerning: (1) the architecture of the expert system software required to support an

  2. Differential diagnosis of allergic rhinitis and sinusitis an expert system

    SciTech Connect

    Creider, R.D.; Sundar Singh, P.S.

    1996-12-31

    Nasal congestion is a common problem for many people. It is a symptom of chronic sinusitis and also a characteristic of allergic rhinitis. Individuals frequently confuse sinusitis and allergic rhinitis. The expert system described below will diagnose the problem to be either rhinitis or sinusitis. In this paper we describe the expert system, the need for such an expert system and the process of developing the system.

  3. Horse-Expert: An aided expert system for diagnosing horse diseases.

    PubMed

    Qin, H; Xiao, J; Gao, X; Wang, H

    2016-12-01

    In contrast to the rapid development of the horse husbandry in China, the ability of horse veterinarians to diagnose diseases has not been improved and only a few domain experts have considerable expertise. At present, many expert systems have been developed for diseases diagnosis, but few for horse diseases diagnosis have been studied in depth. This paper presents the design and development of a computer-aided expert system for diagnosing horse diseases. We suggest an approach for diagnosis of horse diseases based on the analysis of diagnostic characteristics and the experiential knowledge of domain experts. It is based on using evidence-weighted uncertainty reasoning theory, which is a combination of evidence theory and an uncertainty pass algorithm of confidence factors. It enables drawing of inferences with atypical clinical signs and the uncertainty of the user's subjective understanding. It reduces the influence of subjective factors on diagnostic accuracy. The system utilizes a user friendly interface for users and requests a confidence factor from users when feedback is given to the system. Horse-Expert combines the confidence factors with weight factors assigned to clinical signs by experts during the knowledge acquisition process to make diagnostic conclusions. The system can diagnose 91 common horse diseases, and provides suggestions for appropriate treatment options. In addition, users can check the medical record through statistical charts. The system has been tested in seven demonstration areas of Xinjiang province in northwestern China. By constantly maintaining and updating the knowledge base, the system has potential application in veterinary practice.

  4. Microworlds and Expert Systems: Is It Either or Can It Be Both? Report of a Conference Sponsored by the Educational Technology Center (Cambridge, Massachusetts, January 11-12, 1985).

    ERIC Educational Resources Information Center

    McDonald, Joseph P.

    This report summarizes the proceedings of a conference held at the Harvard Graduate School of Education which focused on the conceptual distinction between microworld software and expert system software in education. Microworld software is defined as software which lacks a specific teaching and learning agenda, and expert systems as software that…

  5. SSME fault monitoring and diagnosis expert system

    NASA Technical Reports Server (NTRS)

    Ali, Moonis; Norman, Arnold M.; Gupta, U. K.

    1989-01-01

    An expert system, called LEADER, has been designed and implemented for automatic learning, detection, identification, verification, and correction of anomalous propulsion system operations in real time. LEADER employs a set of sensors to monitor engine component performance and to detect, identify, and validate abnormalities with respect to varying engine dynamics and behavior. Two diagnostic approaches are adopted in the architecture of LEADER. In the first approach fault diagnosis is performed through learning and identifying engine behavior patterns. LEADER, utilizing this approach, generates few hypotheses about the possible abnormalities. These hypotheses are then validated based on the SSME design and functional knowledge. The second approach directs the processing of engine sensory data and performs reasoning based on the SSME design, functional knowledge, and the deep-level knowledge, i.e., the first principles (physics and mechanics) of SSME subsystems and components. This paper describes LEADER's architecture which integrates a design based reasoning approach with neural network-based fault pattern matching techniques. The fault diagnosis results obtained through the analyses of SSME ground test data are presented and discussed.

  6. SSME fault monitoring and diagnosis expert system

    NASA Technical Reports Server (NTRS)

    Ali, Moonis; Norman, Arnold M.; Gupta, U. K.

    1989-01-01

    An expert system, called LEADER, has been designed and implemented for automatic learning, detection, identification, verification, and correction of anomalous propulsion system operations in real time. LEADER employs a set of sensors to monitor engine component performance and to detect, identify, and validate abnormalities with respect to varying engine dynamics and behavior. Two diagnostic approaches are adopted in the architecture of LEADER. In the first approach fault diagnosis is performed through learning and identifying engine behavior patterns. LEADER, utilizing this approach, generates few hypotheses about the possible abnormalities. These hypotheses are then validated based on the SSME design and functional knowledge. The second approach directs the processing of engine sensory data and performs reasoning based on the SSME design, functional knowledge, and the deep-level knowledge, i.e., the first principles (physics and mechanics) of SSME subsystems and components. This paper describes LEADER's architecture which integrates a design based reasoning approach with neural network-based fault pattern matching techniques. The fault diagnosis results obtained through the analyses of SSME ground test data are presented and discussed.

  7. Photolithography diagnostic expert systems: a systematic approach to problem solving in a wafer fabrication facility

    NASA Astrophysics Data System (ADS)

    Weatherwax Scott, Caroline; Tsareff, Christopher R.

    1990-06-01

    One of the main goals of process engineering in the semiconductor industry is to improve wafer fabrication productivity and throughput. Engineers must work continuously toward this goal in addition to performing sustaining and development tasks. To accomplish these objectives, managers must make efficient use of engineering resources. One of the tools being used to improve efficiency is the diagnostic expert system. Expert systems are knowledge based computer programs designed to lead the user through the analysis and solution of a problem. Several photolithography diagnostic expert systems have been implemented at the Hughes Technology Center to provide a systematic approach to process problem solving. This systematic approach was achieved by documenting cause and effect analyses for a wide variety of processing problems. This knowledge was organized in the form of IF-THEN rules, a common structure for knowledge representation in expert system technology. These rules form the knowledge base of the expert system which is stored in the computer. The systems also include the problem solving methodology used by the expert when addressing a problem in his area of expertise. Operators now use the expert systems to solve many process problems without engineering assistance. The systems also facilitate the collection of appropriate data to assist engineering in solving unanticipated problems. Currently, several expert systems have been implemented to cover all aspects of the photolithography process. The systems, which have been in use for over a year, include wafer surface preparation (HMDS), photoresist coat and softbake, align and expose on a wafer stepper, and develop inspection. These systems are part of a plan to implement an expert system diagnostic environment throughout the wafer fabrication facility. In this paper, the systems' construction is described, including knowledge acquisition, rule construction, knowledge refinement, testing, and evaluation. The roles

  8. The Advantages of Abstract Control Knowledge in Expert System Design.

    DTIC Science & Technology

    1983-11-01

    KNOWLEDGE IN EXPERT SYSTEM DESIGN William J. Clancey Department of Computer Science Stanford University, Stanford CA 94305 Ace e ~siofl For NTT~ c7 A& 177...and Shortliffe, E . H. Expert systems research. Science, 1983,220,261-268. Ennis, S. P. Expert systems: A user’s perspective of some current tools, in...Proceedings of the Second AAAI, pages 319-321, August, 1982. Feigenbaum, E . A. The art of artificial intelligence: I. Themes and case studies of

  9. Feasibility Study, Microcomputer Expert System for Federal Contract Management

    DTIC Science & Technology

    1987-10-30

    A microcomputer-based expert system to be used in managing federal contract changes was found to be both necessary as indicated by potential user...comments, and feasible within the realm of current expert system software shells . The knowledge domain of contract changes was determined to be...sufficiently structured and defined to support a floppy disk sized expert system which would not require supplementary manuals as documentation. A

  10. Oceanographic Expert System: Potential for TESS(3) Applications

    DTIC Science & Technology

    1992-07-01

    The Naval Research Laboratory (NRL-SSC) has developed an expert system with a rule base that ’knows about the evolution of mesoscale features in the...Gulf Stream region of the North Atlantic. The expert system uses rules that describe the features’ kinematics to evolve an earlier ’state’ to a later...time. The NRL-SSC expert system has the potential to be useful in an operational environment. Hence, it is proposed as a candidate for implementation

  11. Expert System for Minefield Site Prediction. Phase 1.

    DTIC Science & Technology

    1988-02-01

    2.2111- .25 Jlill 1 MICROCOPY RESOLUTION TLST CHART % %R( % % % % % ko , %% % - Af-A -:A.ZA .A r. ETL-0492 Expert system for minefield site...1. TITLE (Include Security Gassfication) EXPERT SYSTEM FOR MINEFIELD SITE PREDICTION FIRST YEAR REPORT r.. Z. PERSONAL AUTHOR(S) Dillencourt, Michael...identify by block number)FIELD GROUP L SUB-GROUP I Expert System ’ LMinefield,8ite ,rediction - * Quadtree,CTeraiin--nalysis,.t 19, ABSTRACT (Continue on

  12. Development of an Expert System for Mine Burial Prediction

    DTIC Science & Technology

    2001-09-30

    Development of an Expert System for Mine Burial Prediction Alan Brandt Johns Hopkins University Applied Physics Laboratory 11100 Johns Hopkins...about mine burial processes into a Mine Burial Expert System Model (MBESM). Specific technical objectives include: • Identify and incorporate...Develope a prototype Mine Burial Expert System Model (MBESM) to provide a systematic organization of this knowledge base, combining physics-based models

  13. An on-line expert system to improve heat rate

    SciTech Connect

    Shirley, R.S.; Forbes, H.; Nelson, R.F.

    1992-01-01

    A closed-loop expert system for supervisory control is described. The expert system, called ThermoPlus, is designed to help improve heat rates in a power plant, and is tested on a research, solar/fossil pilot plant. This paper describes the management of the project, including problem selection, controlling problem size, and designing the knowledge base. Initial results form running the expert system on line (but not closed-loop) are included.

  14. TATR: A Prototype Expert System for Tactical Air Targeting

    DTIC Science & Technology

    1984-08-01

    TATR: A Prototype Expert System for Tactical Air Targeting Monti Callero , Donald A. Waterman, James R. Kipps Report Documentation Page Form...8217Techniques. Library of Congress Cataloging in Publication Data Callero , Monti. TATR--a prototype expert system for tactical air targeting. "R-3096-ARPA...Prototype Expert System for Tactical Air Targeting Monti Callero , Donald A. Waterman, James R. Kipps August 1984 Prepared for the Defense

  15. Evaluating Expert System Tools; a Framework and Methodology

    DTIC Science & Technology

    1987-07-01

    xi Section I. O V ER V IEW ................................ I II. EXPERT SYSTEMS AND EXPERT SYSTEM TOOLS .. 5 A Note on Terminology...a m 1HE )I. F\\ A, . \\ 1 N \\111 \\ \\ O 19 A relatively concrete example would be: A two-person-sear project is proposed to decelop an expert system...Massachusetts, 1983, pp. 127-167. Bundy, A. (ed.), Catalogue of Artificial Intelligence Tool,;, 2nd Rev. Ed., Springer- Verlag, New York, 1986. Callero

  16. An expert system/ion trap mass spectrometry approach for life support systems monitoring

    NASA Technical Reports Server (NTRS)

    Palmer, Peter T.; Wong, Carla M.; Yost, Richard A.; Johnson, Jodie V.; Yates, Nathan A.; Story, Michael

    1992-01-01

    Efforts to develop sensor and control system technology to monitor air quality for life support have resulted in the development and preliminary testing of a concept based on expert systems and ion trap mass spectrometry (ITMS). An ITMS instrument provides the capability to identify and quantitate a large number of suspected contaminants at trace levels through the use of a variety of multidimensional experiments. An expert system provides specialized knowledge for control, analysis, and decision making. The system is intended for real-time, on-line, autonomous monitoring of air quality. The key characteristics of the system, performance data and analytical capabilities of the ITMS instrument, the design and operation of the expert system, and results from preliminary testing of the system for trace contaminant monitoring are described.

  17. An expert system/ion trap mass spectrometry approach for life support systems monitoring

    NASA Technical Reports Server (NTRS)

    Palmer, Peter T.; Wong, Carla M.; Yost, Richard A.; Johnson, Jodie V.; Yates, Nathan A.; Story, Michael

    1992-01-01

    Efforts to develop sensor and control system technology to monitor air quality for life support have resulted in the development and preliminary testing of a concept based on expert systems and ion trap mass spectrometry (ITMS). An ITMS instrument provides the capability to identify and quantitate a large number of suspected contaminants at trace levels through the use of a variety of multidimensional experiments. An expert system provides specialized knowledge for control, analysis, and decision making. The system is intended for real-time, on-line, autonomous monitoring of air quality. The key characteristics of the system, performance data and analytical capabilities of the ITMS instrument, the design and operation of the expert system, and results from preliminary testing of the system for trace contaminant monitoring are described.

  18. Three CLIPS-based expert systems for solving engineering problems

    NASA Technical Reports Server (NTRS)

    Parkinson, W. J.; Luger, G. F.; Bretz, R. E.

    1990-01-01

    We have written three expert systems, using the CLIPS PC-based expert system shell. These three expert systems are rule based and are relatively small, with the largest containing slightly less than 200 rules. The first expert system is an expert assistant that was written to help users of the ASPEN computer code choose the proper thermodynamic package to use with their particular vapor-liquid equilibrium problem. The second expert system was designed to help petroleum engineers choose the proper enhanced oil recovery method to be used with a given reservoir. The effectiveness of each technique is highly dependent upon the reservoir conditions. The third expert system is a combination consultant and control system. This system was designed specifically for silicon carbide whisker growth. Silicon carbide whiskers are an extremely strong product used to make ceramic and metal composites. The manufacture of whiskers is a very complicated process. which to date. has defied a good mathematical model. The process was run by experts who had gained their expertise by trial and error. A system of rules was devised by these experts both for procedure setup and for the process control. In this paper we discuss the three problem areas of the design, development and evaluation of the CLIPS-based programs.

  19. Three CLIPS-based expert systems for solving engineering problems

    NASA Technical Reports Server (NTRS)

    Parkinson, W. J.; Luger, G. F.; Bretz, R. E.

    1990-01-01

    We have written three expert systems, using the CLIPS PC-based expert system shell. These three expert systems are rule based and are relatively small, with the largest containing slightly less than 200 rules. The first expert system is an expert assistant that was written to help users of the ASPEN computer code choose the proper thermodynamic package to use with their particular vapor-liquid equilibrium problem. The second expert system was designed to help petroleum engineers choose the proper enhanced oil recovery method to be used with a given reservoir. The effectiveness of each technique is highly dependent upon the reservoir conditions. The third expert system is a combination consultant and control system. This system was designed specifically for silicon carbide whisker growth. Silicon carbide whiskers are an extremely strong product used to make ceramic and metal composites. The manufacture of whiskers is a very complicated process. which to date. has defied a good mathematical model. The process was run by experts who had gained their expertise by trial and error. A system of rules was devised by these experts both for procedure setup and for the process control. In this paper we discuss the three problem areas of the design, development and evaluation of the CLIPS-based programs.

  20. Expert system for management of urinary incontinence in women.

    PubMed Central

    Gorman, R.

    1995-01-01

    The purpose of this nursing informatics and outcomes research study was to determine the effectiveness of an expert system for disseminating knowledge to ambulatory women health care consumers with urinary incontinence. Clinical knowledge from the Agency for Health Care Policy and Research (AHCPR) patient guideline for urinary incontinence and research literature for behavioral treatments provided the knowledge base for the expert system. Two experimental groups (booklet and expert system) and one control group were utilized. Study results suggest the use of an expert system as one effective communication means for disseminating clinical information in an advisory capacity to ambulatory women with urinary incontinence. PMID:8563340

  1. The emergence of multi-user expert systems

    NASA Technical Reports Server (NTRS)

    Freeman, Michael S.

    1988-01-01

    There exists a set of problems for which the single user workstation is not a viable solution. In some cases, it may be necessary for the system to support numerous experts working on different aspects of a single logical activity concurrently. In others, the activity may extend over a prolonged period of time during which different experts will work on different phases of the project to produce a single integrated result. Another possibility is that the results produced by the expert system must be continuously available to some group other than that actively exercising the expert system. These are the types of applications which require multiuser expert systems. The nature of NASA tends to produce expert system domains which are inherently multiuser. It is these domains that this new class of expert systems has first been encountered. As expert systems move into the main stream of large scale engineering projects, these encounters will become more frequent. A need for expert system building tools which can accommodate the unique properties of these multiuser domains as they emerge is a problem which needs to be addressed as the current set of tools migrate to time sharing environments, and as new tools are developed.

  2. An expert system for air traffic control system

    NASA Technical Reports Server (NTRS)

    Sensui, Takashi

    1987-01-01

    The objective was to design a control logic which automates all or part of the guidance function for air traffic control systems. Particular interest was focused on automation of the terminal area control system. A preliminary study was done on the development of an expert system. The system may be used to assist controllers by providing them with feasible options in guiding each aircraft in the control area to its desired destination.

  3. Expert system methodology for evaluating reductive dechlorination at TCE sites

    SciTech Connect

    Stiber, N.A.; Pantazidou, M.; Small, M.J.

    1999-09-01

    An expert knowledge site-screening methodology has been developed to evaluate naturally occurring reductive dechlorination as a remedial option for sites with TCE-contaminated groundwater. This methodology combines a causative model for the reductive dechlorination of TCE and expert knowledge within a Bayesian Belief Network. The knowledge base for this expert system was obtained from 22 experts via an expert elicitation protocol The resulting expert system can be used to aid environmental decision making by evaluating the adequacy of reductive dechlorination at TCE-contaminated sites. Comparisons between this expert system and a commonly used screening tool show that this expert system reproduces predictive models that may better discriminate between locations that were sampled. The 22 elicitations revealed different beliefs and assumptions among experts about the biochemical processes involved in reductive dechlorination. The decision-making value of some types of evidence is a matter of dispute; however, findings about biodegradation daughter and/or end products have high decision-making value for all of the experts. The methodology demonstrated herein can provide insights for other environmental decision-making challenges.

  4. The Dark Side of CML: A Look at Expert Systems.

    ERIC Educational Resources Information Center

    Howard, Dale C.

    The paper examines implications of the application of computer expert systems in the field of education, particularly special education. The development of expert systems in general is reviewed as are its applications in education as intelligent tutoring systems and in special education in the areas of student classification, teacher education,…

  5. Using an Expert System to Support Academic Advising.

    ERIC Educational Resources Information Center

    Wehrs, William E.

    1992-01-01

    Computer-assisted advising can be an effective support for conventional academic advising. A shell-based expert system allows computer-assisted advising without automated student records, because students maintain and input their own records into the system. The Expert System for Advising Undergraduates (ESAU) used in the management department of…

  6. TDAS: The Thermal Expert System (TEXSYS) data acquisition system

    NASA Technical Reports Server (NTRS)

    Hack, Edmund C.; Healey, Kathleen J.

    1987-01-01

    As part of the NASA Systems Autonomy Demonstration Project, a thermal expert system (TEXSYS) is being developed. TEXSYS combines a fast real time control system, a sophisticated human interface for the user and several distinct artificial intelligence techniques in one system. TEXSYS is to provide real time control, operations advice and fault detection, isolation and recovery capabilities for the space station Thermal Test Bed (TTB). TEXSYS will be integrated with the TTB and act as an intelligent assistant to thermal engineers conducting TTB tests and experiments. The results are presented from connecting the real time controller to the knowledge based system thereby creating an integrated system. Special attention will be paid to the problem of filtering and interpreting the raw, real time data and placing the important values into the knowledge base of the expert system.

  7. Distribution planning using a knowledge-based expert system

    SciTech Connect

    Hsu, Y.Y.; Chen, J.L. . Dept. of Electrical Engineering)

    1990-07-01

    An expert system is designed for determining substation locations and feeder configuration of a distribution system. By incorporating the heuristic rules currently followed by distribution engineers into the knowledge base, the expert system can benefit from system planners' experience in its problem-solving process. To minimize the feeder losses of the distribution plan, a novel approach, usually referred to as the location-allocation method, is proposed to determine substation locations. The expert system is implemented using the artificial language PROLONG and is designed to be used interactively. The developed expert system is applied to the planning of a distribution system in Taiwan. Test results indicate that the expert system is both efficient and user friendly in reaching the final distribution plan.

  8. Expert system to aid learning of new products for inspection

    NASA Astrophysics Data System (ADS)

    Chan, John P.; Batchelor, Bruce G.; Broderick, S. R.; Lambert, Robin A.; Weeks, A. W.

    1992-03-01

    An expert system has been written in the Prolog language which enables a non-expert user to specify the method of manufacture and visual appearance of small decorated cakes. The expert system has been designed to be ergonomically acceptable to non-expert users. It formulates the inspection procedures necessary by relating the method of manufacture to the appearance of a product, and from this the image processing operations are generated in the form of a Prolog+ program. Such a method enables the system to inspect new and varied products without sacrificing the complexity and robustness of inspection.

  9. Executing CLIPS expert systems in a distributed environment

    NASA Technical Reports Server (NTRS)

    Taylor, James; Myers, Leonard

    1990-01-01

    This paper describes a framework for running cooperating agents in a distributed environment to support the Intelligent Computer Aided Design System (ICADS), a project in progress at the CAD Research Unit of the Design Institute at the California Polytechnic State University. Currently, the systems aids an architectural designer in creating a floor plan that satisfies some general architectural constraints and project specific requirements. At the core of ICADS is the Blackboard Control System. Connected to the blackboard are any number of domain experts called Intelligent Design Tools (IDT). The Blackboard Control System monitors the evolving design as it is being drawn and helps resolve conflicts from the domain experts. The user serves as a partner in this system by manipulating the floor plan in the CAD system and validating recommendations made by the domain experts. The primary components of the Blackboard Control System are two expert systems executed by a modified CLIPS shell. The first is the Message Handler. The second is the Conflict Resolver. The Conflict Resolver synthesizes the suggestions made by the domain experts, which can be either CLIPS expert systems, or compiled C programs. In DEMO1, the current ICADS prototype, the CLIPS domain expert systems are Acoustics, Lighting, Structural, and Thermal; the compiled C domain experts are the CAD system and the User Interface.

  10. Image interpretation for landforms using expert systems and terrain analysis

    SciTech Connect

    Al-garni, A.M.

    1992-01-01

    Most current research in digital photogrammetry and computer vision concentrates on the early vision process; little research has been done on the late vision process. The late vision process in image interpretation contains descriptive knowledge and heuristic information which requires artificial intelligence (AI) in order for it to be modeled. This dissertation has introduced expert systems, as AI tools, and terrain analysis to the late vision process. This goal has been achieved by selecting and theorizing landforms as features for image interpretation. These features present a wide spectrum of knowledge that can furnish a good foundation for image interpretation processes. In this dissertation an EXpert system for LANdform interpretation using Terrain analysis (EXPLANT) was developed. EXPLANT can interpret the major landforms on earth. The system contains sample military and civilian consultations regarding site analysis and development. A learning mechanism was developed to accommodate necessary improvement for the data base due to the rapidly advancing and dynamically changing technology and knowledge. Many interface facilities and menu-driven screens were developed in the system to aid the users. Finally, the system has been tested and verified to be working properly.

  11. MOORE: A prototype expert system for diagnosing spacecraft problems

    NASA Technical Reports Server (NTRS)

    Howlin, Katherine; Weissert, Jerry; Krantz, Kerry

    1988-01-01

    MOORE is a rule-based, prototype expert system that assists in diagnosing operational Tracking and Data Relay Satellite (TDRS) problems. It is intended to assist spacecraft engineers at the TDRS ground terminal in trouble shooting problems that are not readily solved with routine procedures, and without expert counsel. An additional goal of the prototype system is to develop in-house expert system and knowledge engineering skills. The prototype system diagnoses antenna pointing and earth pointing problems that may occur within the TDRS Attitude Control System (ACS). Plans include expansion to fault isolation of problems in the most critical subsystems of the TDRS spacecraft. Long term benefits are anticipated with use of an expert system during future TDRS programs with increased mission support time, reduced problem solving time, and retained expert knowledge and experience. Phase 2 of the project is intended to provide NASA the necessary expertise and capability to define requirements, evaluate proposals, and monitor the development progress of a highly competent expert system for NASA's Tracking Data Relay Satellite. Phase 2 also envisions addressing two unexplored applications for expert systems, spacecraft integration and tests (I and T) and support to launch activities. The concept, goals, domain, tools, knowledge acquisition, developmental approach, and design of the expert system. It will explain how NASA obtained the knowledge and capability to develop the system in-house without assistance from outside consultants. Future plans will also be presented.

  12. MOORE: A prototype expert system for diagnosing spacecraft problems

    NASA Technical Reports Server (NTRS)

    Howlin, Katherine; Weissert, Jerry; Krantz, Kerry

    1988-01-01

    MOORE is a rule-based, prototype expert system that assists in diagnosing operational Tracking and Data Relay Satellite (TDRS) problems. It is intended to assist spacecraft engineers at the TDRS ground terminal in trouble shooting problems that are not readily solved with routine procedures, and without expert counsel. An additional goal of the prototype system is to develop in-house expert system and knowledge engineering skills. The prototype system diagnoses antenna pointing and earth pointing problems that may occur within the TDRS Attitude Control System (ACS). Plans include expansion to fault isolation of problems in the most critical subsystems of the TDRS spacecraft. Long term benefits are anticipated with use of an expert system during future TDRS programs with increased mission support time, reduced problem solving time, and retained expert knowledge and experience. Phase 2 of the project is intended to provide NASA the necessary expertise and capability to define requirements, evaluate proposals, and monitor the development progress of a highly competent expert system for NASA's Tracking Data Relay Satellite. Phase 2 also envisions addressing two unexplored applications for expert systems, spacecraft integration and tests (I and T) and support to launch activities. The concept, goals, domain, tools, knowledge acquisition, developmental approach, and design of the expert system. It will explain how NASA obtained the knowledge and capability to develop the system in-house without assistance from outside consultants. Future plans will also be presented.

  13. System of experts for intelligent data management (SEIDAM)

    NASA Technical Reports Server (NTRS)

    Goodenough, David G.; Iisaka, Joji; Fung, KO

    1993-01-01

    A proposal to conduct research and development on a system of expert systems for intelligent data management (SEIDAM) is being developed. CCRS has much expertise in developing systems for integrating geographic information with space and aircraft remote sensing data and in managing large archives of remotely sensed data. SEIDAM will be composed of expert systems grouped in three levels. At the lowest level, the expert systems will manage and integrate data from diverse sources, taking account of symbolic representation differences and varying accuracies. Existing software can be controlled by these expert systems, without rewriting existing software into an Artificial Intelligence (AI) language. At the second level, SEIDAM will take the interpreted data (symbolic and numerical) and combine these with data models. at the top level, SEIDAM will respond to user goals for predictive outcomes given existing data. The SEIDAM Project will address the research areas of expert systems, data management, storage and retrieval, and user access and interfaces.

  14. System of Experts for Intelligent Data Management (SEIDAM)

    NASA Technical Reports Server (NTRS)

    Goodenough, David G.; Iisaka, Joji; Fung, KO

    1992-01-01

    It is proposed to conduct research and development on a system of expert systems for intelligent data management (SEIDAM). CCRS has much expertise in developing systems for integrating geographic information with space and aircraft remote sensing data and in managing large archives of remotely sensed data. SEIDAM will be composed of expert systems grouped in three levels. At the lowest level, the expert systems will manage and integrate data from diverse sources, taking account of symbolic representation differences and varying accuracies. Existing software can be controlled by these expert systems, without rewriting existing software into an Artificial Intelligence (AI) language. At the second level, SEIDAM will take the interpreted data (symbolic and numerical) and combine these with data models. At the top level, SEIDAM will respond to user goals for predictive outcomes given existing data. The SEIDAM Project will address the research areas of expert systems, data management, storage and retrieval, and user access and interfaces.

  15. System of experts for intelligent data management (SEIDAM)

    NASA Technical Reports Server (NTRS)

    Goodenough, David G.; Iisaka, Joji; Fung, KO

    1993-01-01

    A proposal to conduct research and development on a system of expert systems for intelligent data management (SEIDAM) is being developed. CCRS has much expertise in developing systems for integrating geographic information with space and aircraft remote sensing data and in managing large archives of remotely sensed data. SEIDAM will be composed of expert systems grouped in three levels. At the lowest level, the expert systems will manage and integrate data from diverse sources, taking account of symbolic representation differences and varying accuracies. Existing software can be controlled by these expert systems, without rewriting existing software into an Artificial Intelligence (AI) language. At the second level, SEIDAM will take the interpreted data (symbolic and numerical) and combine these with data models. at the top level, SEIDAM will respond to user goals for predictive outcomes given existing data. The SEIDAM Project will address the research areas of expert systems, data management, storage and retrieval, and user access and interfaces.

  16. System of Experts for Intelligent Data Management (SEIDAM)

    NASA Technical Reports Server (NTRS)

    Goodenough, David G.; Iisaka, Joji; Fung, KO

    1992-01-01

    It is proposed to conduct research and development on a system of expert systems for intelligent data management (SEIDAM). CCRS has much expertise in developing systems for integrating geographic information with space and aircraft remote sensing data and in managing large archives of remotely sensed data. SEIDAM will be composed of expert systems grouped in three levels. At the lowest level, the expert systems will manage and integrate data from diverse sources, taking account of symbolic representation differences and varying accuracies. Existing software can be controlled by these expert systems, without rewriting existing software into an Artificial Intelligence (AI) language. At the second level, SEIDAM will take the interpreted data (symbolic and numerical) and combine these with data models. At the top level, SEIDAM will respond to user goals for predictive outcomes given existing data. The SEIDAM Project will address the research areas of expert systems, data management, storage and retrieval, and user access and interfaces.

  17. Research on architecture of intelligent design platform for artificial neural network expert system

    NASA Astrophysics Data System (ADS)

    Gu, Honghong

    2017-09-01

    Based on the review of the development and current situation of CAD technology, the necessity of combination of artificial neural network and expert system, and then present an intelligent design system based on artificial neural network. Moreover, it discussed the feasibility of realization of a design-oriented expert system development tools on the basis of above combination. In addition, knowledge representation strategy and method and the solving process are given in this paper.

  18. Artificial intelligence and the law: will expert systems replace expert lawyers

    SciTech Connect

    Grossman, G.S.

    1983-01-01

    Summary form only given, as follows. The commercial availability of expert systems utilizing specially developed knowledge bases raises significant questions about their potential utility in the practice of law. These systems, built with the aid of recent developments in artificial intelligence research, may only prove useful in certain areas of legal practice. Counselling and interviewing are areas where expert systems are likely to effect marked changes in the practice of law. In contract, computerized legal research using a knowledge-based system is more difficult to envision. This is due to complexities presented by the multiplicity of sources of the law, and by conflicting opinions and interpretations in the common law. In the coming decade, use of expert systems in science and medicine will grow rapidly, and attempts will continue to be made to automate the legal reasoning process. As past research efforts have demonstrated, this will not be an easy task.

  19. Technological change in Swiss thermal waste treatment: An expert-based socio-technical analysis

    SciTech Connect

    Spoerri, Andy; Lang, Daniel J.; Staeubli, Beat; Scholz, Roland W.

    2010-07-15

    Understanding technological change provides a crucial basis for governing sustainability transitions. In this paper we present an analysis of technological change using the example of Swiss thermal waste processing. In recent years, increased concerns about the low quality of residues from grate-firing systems led to the examination of alternative technologies. Yet despite clear indications of a potential better performance with respect to residue quality, none of these alternatives has been adopted. Based on a two-stage knowledge integration among 15 leading experts, in a retrospective analysis we identified factors that have significantly affected technological change in Swiss thermal waste processing. These factors were then related to three technological options representing different types of technological change, i.e., from incremental improvements of the existing to the implementation of a new technology. The results indicate that technological change is currently in a technological lock-in and provide detailed insights on the causes. The lock-in results in the step-wise further development of the status quo grate-firing system despite its limitations for improving the residue qualities. Almost all factors (legal, economic, societal, technological) of the existing 'thermal waste management' system have been well adapted to the cost- and energy-efficient grate-firing technology, blocking innovative technologies from entering the Swiss market. In addition, pressures from the context, e.g., societal pressure related to landfill risks, have not been strong enough to promote non-incremental change.

  20. Expert system for seismic facies interpretation in continental fault basin

    SciTech Connect

    Zhen, L.; Wanxuan, Z. )

    1992-01-01

    This paper reports on expert system for seismic facies interpretation in continental fault basins which is an intelligent interpretation tool that combines areal seismic stratigraphic theory with expert system principles. Seismic facies interpretation (sedimentary facies recovery) which is the essential of areal seismic stratigraphy involves some troubles: big data volume, many control factors, ambiguous interpretations and so on. An expert system, which acts as a real expert in the corresponding field, can make strict logic inference and draw reasonable conclusion of a complicated problem by using the rich knowledge and experience together with rigorous speciality theorems and regulations. This expert system is the explorative application of expert system to seismic facies interpretation. This expert system consists of a shell and a knowledgeable base. The shell includes three essential units: inference machine performing analysis and demonstration, user interface for information exchange between interpreter and the system, and the explanation module that describes inference procedure. The knowledge base stores up many informations: basin evolution stage, drilling lithological facies, seismic facies parameters, seismic facies pattern, depositional system and so forth. This expert system showed satisfactory function in interpreting seismic facies of north sag in Liaoxi depression in the Bohai Sea basin.

  1. Expert system verification and validation study

    NASA Technical Reports Server (NTRS)

    French, Scott W.; Hamilton, David

    1992-01-01

    Five workshops on verification and validation (V&V) of expert systems (ES) where taught during this recent period of performance. Two key activities, previously performed under this contract, supported these recent workshops (1) Survey of state-of-the-practice of V&V of ES and (2) Development of workshop material and first class. The first activity involved performing an extensive survey of ES developers in order to answer several questions regarding the state-of-the-practice in V&V of ES. These questions related to the amount and type of V&V done and the successfulness of this V&V. The next key activity involved developing an intensive hands-on workshop in V&V of ES. This activity involved surveying a large number of V&V techniques, conventional as well as ES specific ones. In addition to explaining the techniques, we showed how each technique could be applied on a sample problem. References were included in the workshop material, and cross referenced to techniques, so that students would know where to go to find additional information about each technique. In addition to teaching specific techniques, we included an extensive amount of material on V&V concepts and how to develop a V&V plan for an ES project. We felt this material was necessary so that developers would be prepared to develop an orderly and structured approach to V&V. That is, they would have a process that supported the use of the specific techniques. Finally, to provide hands-on experience, we developed a set of case study exercises. These exercises were to provide an opportunity for the students to apply all the material (concepts, techniques, and planning material) to a realistic problem.

  2. Feasibility Of Expert Systems To Enhance Space Station Subsystem Controllers

    NASA Astrophysics Data System (ADS)

    Malin, J. T.; Lance, N., Jr.

    1985-12-01

    This paper describes results of a project to build a prototype expert system for automated fault isolation and correction of a regenerative CO2 removal device that is typical of functions of the air revitalization group in the Space Station environmental control and life support system (ECLSS). The software was developed using one of the powerful commercial knowledge engineering environments. The goal of the project was to evaluate the feasibility of using a software development environment to rapidly design, construct, test, and change expert system software. This paper discusses the use of expert systems to enhance automatic controllers, and the use of information on device design and on device troubleshooting and repair procedures in developing expert systems. This paper also describes the development of the prototype expert system and presents results of the evaluation.

  3. An Expert System for Quality Control in Bibliographic Databases.

    ERIC Educational Resources Information Center

    Todeschini, Claudio; Farrell, Michael P.

    1989-01-01

    Describes an expert system that can identify documents erroneously categorized by indexers working within a prior category scheme. The discussion covers the results of a test of the system and its implications for automatic indexing systems. (14 references) (CLB)

  4. Using Expert-System Shells for Graduate Student Advising.

    ERIC Educational Resources Information Center

    Chan, Ding-Yu; Cochran, Jeffery K.

    1988-01-01

    Describes a computer system used at Arizona State University to help advise students in industrial and management systems engineering. Discusses the expert system, "Personal Consultant," that was used in developing the overall program. (TW)

  5. Distributed Expert-Based Information Systems: An Interdisciplinary Approach.

    ERIC Educational Resources Information Center

    Belkin, Nicholas J.; And Others

    1987-01-01

    Based on an international workshop held at Rutgers University, this article discusses problems and issues in the design, research, and implementation of distributed expert-based information systems (DEBIS). Information needs of end users are stressed, architectures for expert information retrieval systems are explored, and prototype models are…

  6. The Design of an Expert System for Contract Price Analysis.

    DTIC Science & Technology

    1983-09-30

    This report discusses the feasibility of designing an expert system for contract price analysis. It recommends an intelligent manual for base-level...contained expert system infeasible at the present time. Also discussed are implications for future research and the limitations of the proposed design. Several alternative designs are evaluated. (Author)

  7. The Principles of Designing an Expert System in Teaching Mathematics

    ERIC Educational Resources Information Center

    Salekhova, Lailya; Nurgaliev, Albert; Zaripova, Rinata; Khakimullina, Nailya

    2013-01-01

    This study reveals general didactic concepts of the Expert Systems (ES) development process in the educational area. The proof of concept is based on the example of teaching the 8th grade Algebra subject. The main contribution in this work is the implementation of innovative approaches in analysis and processing of data by expert system as well as…

  8. Toward the efficient implementation of expert systems in Ada

    NASA Technical Reports Server (NTRS)

    Lee, S. Daniel

    1990-01-01

    Here, the authors describe Ada language issues encountered during the development of ART-Ada, an expert system tool for Ada deployment. ART-Ada is being used to implement several expert system applications for the Space Station Freedom and the U.S. Air Force. Additional information is given on dynamic memory allocation.

  9. The BRIEFER project: using expert systems as theory construction tools.

    PubMed

    Gingerich, W J; de Shazer, S

    1991-06-01

    This article describes the development of BRIEFER I and BRIEFER II, expert systems that advise the therapist on selecting, designing, and developing an intervention at the end of the first therapy session. The process of developing expert systems has aided us in describing what brief therapists do, in modeling the intervention design process, and in training brief therapists.

  10. The potential of expert systems for remote sensing application

    NASA Technical Reports Server (NTRS)

    Mooneyhan, D. W.

    1983-01-01

    An overview of the status and potential of artificial intelligence-driven expert systems in the role of image data analysis is presented. An expert system is defined and its structure is summarized. Three such systems designed for image interpretation are outlined. The use of an expert system to detect changes on the earth's surface is discussed, and the components of a knowledge-based image interpretation system and their make-up are outlined. An example of how such a system should work for an area in the tropics where deforestation has occurred is presented as a sequence of situation/action decisions.

  11. Application of expert systems in project management decision aiding

    NASA Technical Reports Server (NTRS)

    Harris, Regina; Shaffer, Steven; Stokes, James; Goldstein, David

    1987-01-01

    The feasibility of developing an expert systems-based project management decision aid to enhance the performance of NASA project managers was assessed. The research effort included extensive literature reviews in the areas of project management, project management decision aiding, expert systems technology, and human-computer interface engineering. Literature reviews were augmented by focused interviews with NASA managers. Time estimation for project scheduling was identified as the target activity for decision augmentation, and a design was developed for an Integrated NASA System for Intelligent Time Estimation (INSITE). The proposed INSITE design was judged feasible with a low level of risk. A partial proof-of-concept experiment was performed and was successful. Specific conclusions drawn from the research and analyses are included. The INSITE concept is potentially applicable in any management sphere, commercial or government, where time estimation is required for project scheduling. As project scheduling is a nearly universal management activity, the range of possibilities is considerable. The INSITE concept also holds potential for enhancing other management tasks, especially in areas such as cost estimation, where estimation-by-analogy is already a proven method.

  12. An Expert System Shell as a Cost-Effective Tool for Predicting Preterm Birth Risk

    PubMed Central

    Woolery, Linda K.; Harr, Douglas S.; Harr, Deborah L.

    1995-01-01

    We have developed an object-oriented expert system shell named Gestation Predictor. This expert system shell utilizes Level5 Object v. 3.5 for Microsoft Windows. This shell is designed for use by clinical professionals during the clinical encounter with pregnant women for preterm birth risk screening. The interactive electronic poster will offer a knowledge base mangment tool for predicting gestation in pregnant women. The goal of this project is to improve clinical outcomes for childbearing families with cost-effective expert system technology.

  13. Bonneville Power Administration Communication Alarm Processor expert system:

    SciTech Connect

    Goeltz, R.; Purucker, S.; Tonn, B. ); Wiggen, T. ); MacGregor, D. )

    1990-06-01

    This report describes the Communications Alarm Processor (CAP), a prototype expert system developed for the Bonneville Power Administration by Oak Ridge National Laboratory. The system is designed to receive and diagnose alarms from Bonneville's Microwave Communications System (MCS). The prototype encompasses one of seven branches of the communications network and a subset of alarm systems and alarm types from each system. The expert system employs a backward chaining approach to diagnosing alarms. Alarms are fed into the expert system directly from the communication system via RS232 ports and sophisticated alarm filtering and mailbox software. Alarm diagnoses are presented to operators for their review and concurrence before the diagnoses are archived. Statistical software is incorporated to allow analysis of archived data for report generation and maintenance studies. The delivered system resides on a Digital Equipment Corporation VAX 3200 workstation and utilizes Nexpert Object and SAS for the expert system and statistical analysis, respectively. 11 refs., 23 figs., 7 tabs.

  14. Utilizing expert systems for satellite monitoring and control

    NASA Technical Reports Server (NTRS)

    Hughes, Peter M.

    1991-01-01

    Spacecraft analysts in the spacecraft control center for the Cosmic Background Explorer (COBE) satellite are currently utilizing a fault-isolation expert system developed to assist in the isolation and correction of faults in the communications link. This system, the communication link expert assistance resource (CLEAR), monitors real time spacecraft and ground systems performance parameters in search of configuration discrepancies and communications link problems. If such a discrepancy or problem is isolated, CLEAR alerts the analyst and provides advice on how to resolve the problem swiftly and effectively. The CLEAR system is the first real time expert system to be used in the operational environment of a satellite control center at the NASA Goddard Space Flight Center. Clear has not only demonstrated the utility and potential of an expert system in the demanding environment of a satellite control center, but also has revealed many of the pitfalls and deficiencies of development of expert systems. One of the lessons learned from this and other initial expert system projects is that prototypes can often be developed quite rapidly, but operational expert systems require considerable effort. Development is generally a slow, tedious process that typically requires the special skills of trained programmers. Due to the success of CLEAR and several other systems in the control center domain, a large number of expert systems will certainly be developed to support control center operations during the early 1990's. To facilitate the development of these systems, a project was initiated to develop an integrated, domain-specific tool, the generic spacecraft analyst assistent (GenSAA), that alows the spacecraft analysts to rapidly create simple expert systems themselves. By providing a highly graphical point-and-select method of system development, GenSAA allows the analyst to utilize and/or modify previously developed rule bases and system components; thus, facilitating

  15. Interfacing the expert: Characteristics and requirements for the user interface in expert systems

    NASA Technical Reports Server (NTRS)

    Potter, Andrew

    1987-01-01

    Because expert systems deal with new sets of problems presenting unique interface requirements, special issues requiring special attention are presented to user interface designers. External knowledge representation (how knowdedge is represented across the user interface), modes of user-system interdependence (advisory, cooperative, and autonomous), and management of uncertainty (deciding what actions to take or recommend based on incomplete evidence) are discussed.

  16. Techniques and implementation of the embedded rule-based expert system using Ada

    NASA Technical Reports Server (NTRS)

    Liberman, Eugene M.; Jones, Robert E.

    1991-01-01

    Ada is becoming an increasingly popular programming language for large Government-funded software projects. Ada with its portability, transportability, and maintainability lends itself well to today's complex programming environment. In addition, expert systems have also assured a growing role in providing human-like reasoning capability and expertise for computer systems. The integration of expert system technology with Ada programming language, specifically a rule-based expert system using an ART-Ada (Automated Reasoning Tool for Ada) system shell is discussed. The NASA Lewis Research Center was chosen as a beta test site for ART-Ada. The test was conducted by implementing the existing Autonomous Power EXpert System (APEX), a Lisp-base power expert system, in ART-Ada. Three components, the rule-based expert system, a graphics user interface, and communications software make up SMART-Ada (Systems fault Management with ART-Ada). The main objective, to conduct a beta test on the ART-Ada rule-based expert system shell, was achieved. The system is operational. New Ada tools will assist in future successful projects. ART-Ada is one such tool and is a viable alternative to the straight Ada code when an application requires a rule-based or knowledge-based approach.

  17. A continuous real-time expert system for computer operations

    SciTech Connect

    Ennis, R.L.; Griesmer, J.H.; Hong, S.J.; Karnaugh, M.; Kastner, J.K.; Klein, D.A.; Milliken, K.R.; Schor, M.I.; Van Woerkom, H.M.

    1986-01-01

    The Yorktown Expert System/MVS Manager (or YES/MVS for short) is a continuous real-time expert system that exerts active control over a computing system and provides advice to computer operators. YES/MVS provides advice on routine operations and detects, diagnoses, and responds to problems in the computer operator's domain. This paper discusses the YES/MVS system, its domain of application, and issues that arise in the design and development of an expert system that runs continuously in real time.

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

    PubMed

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

    2016-02-01

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

  19. An expert systems approach to automated fault diagnostics

    NASA Technical Reports Server (NTRS)

    Lance, N.; Malin, J. T.

    1985-01-01

    The implementation of the life support function on the Space Station will probably have to be based on regenerative life support techniques. It is essential that the regenerative subsystems operate with minimum attendance from the crew. However, the results of extensive testing show that uninterrupted subsystem operation over long periods of time (e.g., months) is not easy to achieve. In order to achieve longer periods of time on line for these subsystems, it is necessary that the Environmental Control and Life Support System (ECLSS) designers focus their attention on technologies which will permit both increasing the mean time between shutdowns and decreasing the time for which a subsystem is down for fault diagnosis and maintenance. With the aim to be able to perform the fault diagnosis on line rather than after the subsystem has shut down, an expert systems approach to automated fault diagnostics is considered. A description is given of a program, designated CS-1 'FIXER' for fault isolation expert to enhance reliability.

  20. EWES. Early Warning Expert System for Equipment Operability Surveillance

    SciTech Connect

    Gross, K.C.; Singer, R.; Herzog, J.P.

    1996-01-01

    EWES is an Al-based expert system for signal validation and sensor operability surveillance in industrial applications that require high-reliability, high-sensitivity annunciation of degraded sensors, discrepant signals, or the onset or incipience of system disturbances.

  1. Early Warning Expert System for Equipment Operability Surveillance

    SciTech Connect

    Gross, Kenny C.

    1996-12-18

    EWES is an Al-based expert system for signal validation and sensor operability surveillance in industrial applications that require high-reliability, high-sensitivity annunciation of degraded sensors, discrepant signals, or the onset or incipience of system disturbances.

  2. An Expert System for Autonomous Spacecraft Control

    NASA Technical Reports Server (NTRS)

    Sherwood, Rob; Chien, Steve; Tran, Daniel; Cichy, Benjamin; Castano, Rebecca; Davies, Ashley; Rabideau, Gregg

    2005-01-01

    The Autonomous Sciencecraft Experiment (ASE), part of the New Millennium Space Technology 6 Project, is flying onboard the Earth Orbiter 1 (EO-1) mission. The ASE software enables EO-1 to autonomously detect and respond to science events such as: volcanic activity, flooding, and water freeze/thaw. ASE uses classification algorithms to analyze imagery onboard to detect chang-e and science events. Detection of these events is then used to trigger follow-up imagery. Onboard mission planning software then develops a response plan that accounts for target visibility and operations constraints. This plan is then executed using a task execution system that can deal with run-time anomalies. In this paper we describe the autonomy flight software and how it enables a new paradigm of autonomous science and mission operations. We will also describe the current experiment status and future plans.

  3. Expert system application for prioritizing preventive actions for shift work: shift expert.

    PubMed

    Esen, Hatice; Hatipoğlu, Tuğçen; Cihan, Ahmet; Fiğlali, Nilgün

    2017-09-19

    Shift patterns, work hours, work arrangements and worker motivations have increasingly become key factors for job performance. The main objective of this article is to design an expert system that identifies the negative effects of shift work and prioritizes mitigation efforts according to their importance in preventing these negative effects. The proposed expert system will be referred to as the shift expert. A thorough literature review is conducted to determine the effects of shift work on workers. Our work indicates that shift work is linked to demographic variables, sleepiness and fatigue, health and well-being, and social and domestic conditions. These parameters constitute the sections of a questionnaire designed to focus on 26 important issues related to shift work. The shift expert is then constructed to provide prevention advice at the individual and organizational levels, and it prioritizes this advice using a fuzzy analytic hierarchy process model, which considers comparison matrices provided by users during the prioritization process. An empirical study of 61 workers working on three rotating shifts is performed. After administering the questionnaires, the collected data are analyzed statistically, and then the shift expert produces individual and organizational recommendations for these workers.

  4. Class 2: An Expert System for Student Classification. Technical Paper.

    ERIC Educational Resources Information Center

    Ferrara, Joseph M.; And Others

    The paper describes an approach to developing systematic procedures for identifying handicapped children that leads to rational decisions regarding placement. An expert system is described which involves the user in a dialogue on data regarding individual children; this dialogue is similar in many ways to a consultation with an expert. After…

  5. An Introduction to Expert Systems and Knowledge Acquisition Techniques

    DTIC Science & Technology

    1990-09-01

    List of Figures .................. ................... v List of Tables ............. ................... .. vi I. Introduction...Knowledge Acquisition Problems ...... 47 Corrective Actions . . . ...... 49 Summary .... ................. ...... 50 V . Conclusion...Characteristics of an Expert ..... 31 v List of Tables Table Page 1. Key Parameters of Suitable Tasks for Expert System Applications ...... ............ .. 15 2

  6. Description of an experimental expert system flight status monitor

    NASA Technical Reports Server (NTRS)

    Duke, E. L.; Regenie, V. A.

    1985-01-01

    This paper describes an experimental version of an expert system flight status monitor being developed at the Dryden Flight Research Facility of the NASA Ames Research Center. This experimental expert system flight status monitor (ESSFSM) is supported by a specialized knowledge acquisition tool that provides the user with a powerful and easy-to-use documentation and rule construction tool. The EESFSM is designed to be a testbed for concepts in rules, inference mechanisms, and knowledge structures to be used in a real-time expert system flight status monitor that will monitor the health and status of the flight control system of state-of-the-art, high-performance, research aircraft.

  7. An Expert System for the Development of Efficient Parallel Code

    NASA Technical Reports Server (NTRS)

    Jost, Gabriele; Chun, Robert; Jin, Hao-Qiang; Labarta, Jesus; Gimenez, Judit

    2004-01-01

    We have built the prototype of an expert system to assist the user in the development of efficient parallel code. The system was integrated into the parallel programming environment that is currently being developed at NASA Ames. The expert system interfaces to tools for automatic parallelization and performance analysis. It uses static program structure information and performance data in order to automatically determine causes of poor performance and to make suggestions for improvements. In this paper we give an overview of our programming environment, describe the prototype implementation of our expert system, and demonstrate its usefulness with several case studies.

  8. Expert System For Diagnosis Pest And Disease In Fruit Plants

    NASA Astrophysics Data System (ADS)

    Dewanto, Satrio; Lukas, Jonathan

    2014-03-01

    This paper discussed the development of an expert system to diagnose pests and diseases on fruit plants. Rule base method was used to store the knowledge from experts and literatures. Control technique using backward chain and started from the symptoms to get conclusions about the pests and diseases that occur. Development of the system has been performed using software Corvid Exsys developed by Exsys company. Results showed that the development of this expert system can be used to assist users in identifying the type of pests and diseases on fruit plants. Further development and possibility of using internet for this system are proposed.

  9. An expert system based intelligent control scheme for space bioreactors

    NASA Technical Reports Server (NTRS)

    San, Ka-Yiu

    1988-01-01

    An expert system based intelligent control scheme is being developed for the effective control and full automation of bioreactor systems in space. The scheme developed will have the capability to capture information from various resources including heuristic information from process researchers and operators. The knowledge base of the expert system should contain enough expertise to perform on-line system identification and thus be able to adapt the controllers accordingly with minimal human supervision.

  10. Design and operation of the communication alarm processor expert system

    SciTech Connect

    Purucker, S.L.; Tonn, B.E.; Goeltz, R.T.; Wiggen, T.P.; Hemmelman, K.M.; Borys, S.F.; Rasmussen, R.D.

    1989-01-01

    This paper discusses the expert system design, verification testing, installation, and initial operating experiences of the Communications Alarm Processor (CAP), a prototype expert system developed for Bonneville Power Administration (BPA) by Oak Ridge National Laboratory. The system is designed to assist operators by receiving and diagnosing alarms from Bonneville's Microwave Communications System. The microwave system transmits data from power facilities in four Pacific Northwestern states to Dittmer, Bonneville's central operations control center. The prototype is limited to one of seven branches of the communications network and a subset of alarm systems and alarm types. CAP receives real-time data, diagnoses operational problems, archives alarm information, and supports analysis aimed at improving equipment maintenance. The expert system operates in an advisory capacity so diagnoses are presented to operators for their review and concurrence before being archived. CAP employs a backward chaining approach for diagnosing alarms. The system, which was delivered in January 1989, resides on a VAX 3200 workstation under the VMS operating system and utilizes C code to retrieve and process alarm data. An expert system shell, Nexpert Object, was used to develop the expert system. The ultimate goal is to develop expert systems that will enhance power system operation and maintenance. 7 refs., 8 figs., 1 tab.

  11. An expert system for reactive power control of a distribution system. Part 2: System implementation

    SciTech Connect

    Laframboise, J.R.P.R.; Ferland, G.; Chikhani, A.Y.; Salama, M.M.A.

    1995-08-01

    Compared to using strictly algorithmic methods only, the planning of VAR control through an expert system will allow the integration of heuristics with equations representing the system`s model. In this paper, an expert system is developed for short and long-term planning of voltage control and loss reduction in distribution systems using shunt capacitors and voltages regulators. Ideally, the expert system will become part of the SCADA system. An application using a real system is also included.

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

    PubMed

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

    2014-03-01

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

  13. Information Communication Technology in the Form of an Expert System Shell as a Cognitive Tool to Facilitate Higher-Order Thinking

    ERIC Educational Resources Information Center

    Collins, Gary W.; Knoetze, Johan G.

    2014-01-01

    Information communication technology is capable of contributing supplementary teaching and learning strategies that can be used to address various educational challenges faced by higher education. Students who enter South African higher education institutions are often academically under-prepared and have not developed the cognitive skills…

  14. A rule-based expert system for generating control displays at the Advanced Photon Source

    SciTech Connect

    Coulter, K.J.

    1993-11-01

    The integration of a rule-based expert system for generating screen displays for controlling and monitoring instrumentation under the Experimental Physics and Industrial Control System (EPICS) is presented. The expert system is implemented using CLIPS, an expert system shell from the Software Technology Branch at Lyndon B. Johnson Space Center. The user selects the hardware input and output to be displayed and the expert system constructs a graphical control screen appropriate for the data. Such a system provides a method for implementing a common look and feel for displays created by several different users and reduces the amount of time required to create displays for new hardware configurations. Users are able to modify the displays as needed using the EPICS display editor tool.

  15. Development and practice of a Telehealthcare Expert System (TES).

    PubMed

    Lin, Hanjun; Hsu, Yeh-Liang; Hsu, Ming-Shinn; Cheng, Chih-Ming

    2013-07-01

    Expert systems have been widely used in medical and healthcare practice for various purposes. In addition to vital sign data, important concerns in telehealthcare include the compliance with the measurement prescription, the accuracy of vital sign measurements, and the functioning of vital sign meters and home gateways. However, few expert system applications are found in the telehealthcare domain to address these issues. This article presents an expert system application for one of the largest commercialized telehealthcare practices in Taiwan by Min-Sheng General Hospital. The main function of the Telehealthcare Expert System (TES) developed in this research is to detect and classify events based on the measurement data transmitted to the database at the call center, including abnormality of vital signs, violation of vital sign measurement prescriptions, and malfunction of hardware devices (home gateway and vital sign meter). When the expert system detects an abnormal event, it assigns an "urgent degree" and alerts the nursing team in the call center to take action, such as phoning the patient for counseling or to urge the patient to return to the hospital for further tests. During 2 years of clinical practice, from 2009 to 2011, 19,182 patients were served by the expert system. The expert system detected 41,755 events, of which 22.9% indicated abnormality of vital signs, 75.2% indicated violation of measurement prescription, and 1.9% indicated malfunction of devices. On average, the expert system reduced by 76.5% the time that the nursing team in the call center spent in handling the events. The expert system helped to reduce cost and improve quality of the telehealthcare service.

  16. Expert systems - New approaches to computer-aided engineering

    NASA Astrophysics Data System (ADS)

    Dym, C. L.

    This paper provides an overview of the burgeoning new field of expert (knowledge-based) systems. This survey is tutorial in nature, intended to convey the gestalt of such systems to engineers who are newly exposed to the field. The discussion includes definitions, basic concepts, expert system architecture, descriptions of some of the programming tools and environments with which knowledge-based systems can be built, and approaches to knowledge acquisition. Some currently extant expert systems are described en passant, including a few developed for engineering purposes. Comments follow on the engineering of knowledge, as both cultural and social processes. The paper closes with an assessment of the roles that expert systems can play in engineering analysis, design, planning, and education.

  17. Expert systems identify fossils and manage large paleontological databases

    SciTech Connect

    Beightol, D.S. ); Conrad, M.A.

    1988-02-01

    EXPAL is a computer program permitting creation and maintenance of comprehensive databases in marine paleontology. It is designed to assist specialists and non-specialists. EXPAL includes a powerful expert system based on the morphological descriptors specific to a given group of fossils. The expert system may be used, for example, to describe and automatically identify an unknown specimen. EXPAL was first applied to Dasycladales (Calcareous green algae). Projects are under way for corresponding expert systems and databases on planktonic foraminifers and calpionellids. EXPAL runs on an IBM XT or compatible microcomputer.

  18. Development of a Spacecraft Materials Selector Expert System

    NASA Technical Reports Server (NTRS)

    Pippin, G.; Kauffman, W. (Technical Monitor)

    2002-01-01

    This report contains a description of the knowledge base tool and examples of its use. A downloadable version of the Spacecraft Materials Selector (SMS) knowledge base is available through the NASA Space Environments and Effects Program. The "Spacecraft Materials Selector" knowledge base is part of an electronic expert system. The expert system consists of an inference engine that contains the "decision-making" code and the knowledge base that contains the selected body of information. The inference engine is a software package previously developed at Boeing, called the Boeing Expert System Tool (BEST) kit.

  19. Toward an expert project management system

    NASA Technical Reports Server (NTRS)

    Silverman, Barry G.; Murray, Arthur; Diakite, Coty; Feggos, Kostas

    1987-01-01

    The purpose of the research effort is to prescribe a generic reusable shell that any project office can install and customize for the purposes of advising, guiding, and supporting project managers in that office. The prescribed shell is intended to provide both: a component that generates prescriptive guidance for project planning and monitoring activities, and an analogy (intuition) component that generates descriptive insights of previous experience of successful project managers. The latter component is especially significant in that it has the potential to: retrieve insights, not just data, and provide a vehicle for expert PMs to easily transcribe their current experiences in the course of each new project managed.

  20. Living Expert System (LEXSYS). Volume 7

    DTIC Science & Technology

    1989-05-15

    34= iqAEXSYSTOO90 N E~xpert i i Syster m. ’’-~ARMY SENIOR LEADER DECISION MAKING TOOL FOR THE 90. SELECTE : AUGO 8 989 U- S . ARMY WAR COLLEGE , CARLISU... s GRA&I [C TAB 0] 16 Untitled Bill Mathews 74 1nnoTAB 0 ;tlf’ioation 17 Reaching Decision Points in LEXSYS Subnets Rich Pomager 78 -.tribut1on...the learning curve -- above... Did a staff study at CAS3 on the "best" training method( s ) for such a conference and now, I’m in the middle of a

  1. Use of probabilistic inversion to model qualitative expert input when selecting a new nuclear reactor technology

    NASA Astrophysics Data System (ADS)

    Merritt, Charles R., Jr.

    Complex investment decisions by corporate executives often require the comparison of dissimilar attributes and competing technologies. A technique to evaluate qualitative input from experts using a Multi-Criteria Decision Method (MCDM) is described to select a new reactor technology for a merchant nuclear generator. The high capital cost, risks from design, licensing and construction, reactor safety and security considerations are some of the diverse considerations when choosing a reactor design. Three next generation reactor technologies are examined: the Advanced Pressurized-1000 (AP-1000) from Westinghouse, Economic Simplified Boiling Water Reactor (ESBWR) from General Electric, and the U.S. Evolutionary Power Reactor (U.S. EPR) from AREVA. Recent developments in MCDM and decision support systems are described. The uncertainty inherent in experts' opinions for the attribute weighting in the MCDM is modeled through the use of probabilistic inversion. In probabilistic inversion, a function is inverted into a random variable within a defined range. Once the distribution is created, random samples based on the distribution are used to perform a sensitivity analysis on the decision results to verify the "strength" of the results. The decision results for the pool of experts identified the U.S. EPR as the optimal choice.

  2. Investigation of an expert systems approach to bacterial identification.

    PubMed

    Brammer, R J; Bryant, T N; May, J H

    1991-10-01

    An investigation was carried out to assess the feasibility of using an expert systems approach to assist in the identification of unknown isolates of bacteria. A system was developed using Lisp which utilized the knowledge stored in standard bacteriological texts. A comparison of the expert systems approach and the probabilistic approach based on Bayes Theorem was made together with the advantages and disadvantages of each approach.

  3. Expert performance on a virtual reality simulation system.

    PubMed

    Wierinck, Els R; Puttemans, Veerle; Swinnen, Stephan P; van Steenberghe, Daniel

    2007-06-01

    The objective of this research was to determine if the essence of expert performance could be captured on a virtual reality simulation system. Six experts in operative dentistry, six experts in periodontology, and six novice dental students performed a Class II tooth preparation task on the lower left second premolar. All subjects performed a pre-test to assess the basic skill level of each group. During the (limited) training component of the study, the three groups practiced three tooth preparations and received augmented feedback. At both a one-minute and one-day interval, subjects performed a final test in the absence of augmented feedback. All preparations were graded by the simulation system. The results showed at pre-test a significantly better performance of the experts in operative dentistry as compared to the novices. During the practice (acquisition) phase, the experts in operative dentistry outperformed both the periodontologists and novices, whereas the experts in periodontology performed more accurately than the novices. After one minute and one day following practice, similar results were obtained. Retention performance was most accurate after a one-day delay. Based on these results, the simulator appears to be a valid and reliable tool to capture expert performance. It is an effective screening device for assessing the level of expert performance.

  4. The role of artificial intelligence and expert systems in increasing STS operations productivity

    NASA Technical Reports Server (NTRS)

    Culbert, C.

    1985-01-01

    Artificial Intelligence (AI) is discussed. A number of the computer technologies pioneered in the AI world can make significant contributions to increasing STS operations productivity. Application of expert systems, natural language, speech recognition, and other key technologies can reduce manpower while raising productivity. Many aspects of STS support lend themselves to this type of automation. The artificial intelligence section of the mission planning and analysis division has developed a number of functioning prototype systems which demonstrate the potential gains of applying AI technology.

  5. The role of artificial intelligence and expert systems in increasing STS operations productivity

    NASA Technical Reports Server (NTRS)

    Culbert, C.

    1985-01-01

    Artificial Intelligence (AI) is discussed. A number of the computer technologies pioneered in the AI world can make significant contributions to increasing STS operations productivity. Application of expert systems, natural language, speech recognition, and other key technologies can reduce manpower while raising productivity. Many aspects of STS support lend themselves to this type of automation. The artificial intelligence section of the mission planning and analysis division has developed a number of functioning prototype systems which demonstrate the potential gains of applying AI technology.

  6. ATS displays: A reasoning visualization tool for expert systems

    NASA Technical Reports Server (NTRS)

    Selig, William John; Johannes, James D.

    1990-01-01

    Reasoning visualization is a useful tool that can help users better understand the inherently non-sequential logic of an expert system. While this is desirable in most all expert system applications, it is especially so for such critical systems as those destined for space-based operations. A hierarchical view of the expert system reasoning process and some characteristics of these various levels is presented. Also presented are Abstract Time Slice (ATS) displays, a tool to visualize the plethora of interrelated information available at the host inferencing language level of reasoning. The usefulness of this tool is illustrated with some examples from a prototype potable water expert system for possible use aboard Space Station Freedom.

  7. Expert system for controlling plant growth in a contained environment

    NASA Technical Reports Server (NTRS)

    May, George A. (Inventor); Lanoue, Mark Allen (Inventor); Bethel, Matthew (Inventor); Ryan, Robert E. (Inventor)

    2009-01-01

    In a system for optimizing crop growth, vegetation is cultivated in a contained environment, such as a greenhouse, an underground cavern or other enclosed space. Imaging equipment is positioned within or about the contained environment, to acquire spatially distributed crop growth information, and environmental sensors are provided to acquire data regarding multiple environmental conditions that can affect crop development. Illumination within the contained environment, and the addition of essential nutrients and chemicals are in turn controlled in response to data acquired by the imaging apparatus and environmental sensors, by an ''expert system'' which is trained to analyze and evaluate crop conditions. The expert system controls the spatial and temporal lighting pattern within the contained area, and the timing and allocation of nutrients and chemicals to achieve optimized crop development. A user can access the ''expert system'' remotely, to assess activity within the growth chamber, and can override the ''expert system''.

  8. Expert system for controlling plant growth in a contained environment

    NASA Technical Reports Server (NTRS)

    May, George A. (Inventor); Lanoue, Mark Allen (Inventor); Bethel, Matthew (Inventor); Ryan, Robert E. (Inventor)

    2011-01-01

    In a system for optimizing crop growth, vegetation is cultivated in a contained environment, such as a greenhouse, an underground cavern or other enclosed space. Imaging equipment is positioned within or about the contained environment, to acquire spatially distributed crop growth information, and environmental sensors are provided to acquire data regarding multiple environmental conditions that can affect crop development. Illumination within the contained environment, and the addition of essential nutrients and chemicals are in turn controlled in response to data acquired by the imaging apparatus and environmental sensors, by an "expert system" which is trained to analyze and evaluate crop conditions. The expert system controls the spatial and temporal lighting pattern within the contained area, and the timing and allocation of nutrients and chemicals to achieve optimized crop development. A user can access the "expert system" remotely, to assess activity within the growth chamber, and can override the "expert system".

  9. Control strategies for an expert system at a municipal solid waste incinerator

    SciTech Connect

    Dockrill, P.; Zheng, L.; Clements, B.; Ram, K.; Boatwright, K.

    1997-12-31

    Optimal burning of municipal waste is challenging due to the unknown variability of the garbage and the strict limits on the emission streams. Proper operation relies upon procedures that are, to a certain extent, based upon previous experience. Therefore this is an excellent application for an expert system since they are designed to initiate operator actions before actual operator intervention is necessary. This paper briefly discusses the rationale for developing an expert system at the Burnaby Incinerator, Burnaby, British Columbia and how it was implemented. The Burnaby Incinerator, owned by the Greater Vancouver Regional District and operated by Montenay, Inc., was a test location for an expert system jointly funded by Environment Canada and the Panel for Energy Research and Development and developed by the CANMET Energy Technology Centre. The expert system was designed to perform a number of functions: identification of boiler upsets due to fuel variations, prediction of stack emissions and control of lime injection for SO{sub 2} emissions. These particular functions were chosen to smooth the boiler operation and reduce the cost of plant operation. The expert system is a PC based system using both commercial and developed software. It incorporates rule based and model based techniques and neural network technology. The results of the expert system project are presented.

  10. Multiple neural network approaches to clinical expert systems

    NASA Astrophysics Data System (ADS)

    Stubbs, Derek F.

    1990-08-01

    We briefly review the concept of computer aided medical diagnosis and more extensively review the the existing literature on neural network applications in the field. Neural networks can function as simple expert systems for diagnosis or prognosis. Using a public database we develop a neural network for the diagnosis of a major presenting symptom while discussing the development process and possible approaches. MEDICAL EXPERTS SYSTEMS COMPUTER AIDED DIAGNOSIS Biomedicine is an incredibly diverse and multidisciplinary field and it is not surprising that neural networks with their many applications are finding more and more applications in the highly non-linear field of biomedicine. I want to concentrate on neural networks as medical expert systems for clinical diagnosis or prognosis. Expert Systems started out as a set of computerized " ifthen" rules. Everything was reduced to boolean logic and the promised land of computer experts was said to be in sight. It never came. Why? First the computer code explodes as the number of " ifs" increases. All the " ifs" have to interact. Second experts are not very good at reducing expertise to language. It turns out that experts recognize patterns and have non-verbal left-brain intuition decision processes. Third learning by example rather than learning by rule is the way natural brains works and making computers work by rule-learning is hideously labor intensive. Neural networks can learn from example. They learn the results

  11. Need for a comprehensive expert system development methodology

    SciTech Connect

    Baumert, J.; Critchfield, A.; Leavitt, K.

    1988-01-01

    In a traditional software development environment, the introduction of standardized approaches has led to higher quality, maintainable products on the technical side and greater visibility into the status of the effort on the management side. This study examined expert system development to determine whether it differed enough from traditional systems to warrant a reevaluation of current software development methodologies. Its purpose was to identify areas of similarity with traditional software development and areas requiring tailoring to the unique needs of expert systems. A second purpose was to determine whether existing expert system development methodologies meet the needs of expert system development, management, and maintenance personnel. The study consisted of a literature search and personal interviews. It was determined that existing methodologies and approaches to developing expert systems are not comprehensive nor are they easily applied, especially to cradle to grave system development. As a result, requirements were derived for an expert system development methodology and an initial annotated outline derived for such a methodology. 9 references.

  12. An expert system for qualitative XRD analysis of sedimentary rocks

    SciTech Connect

    Fang, J.H.; Chen, H.C.; Liu, C.L. ); Wright, D. )

    1991-03-01

    Mineral identification using x-ray powder diffractometry (XRD) requires human judgment and heuristics. Thus, the task is admirably suited for an expert system approach. Expert systems are computer programs which emulate human expertise. The power of an expert system is derived from the knowledge the system embodies, rather than from search algorithms. An expert system helps solve problems for which well-defined algorithmic solutions are difficult to obtain. The authors have coded an expert system, XRAYS, to identify minerals via x-ray diffractograms. The system emulates the well-known manual Hanawalt method, thus avoiding the black-box approach of some computer search/match programs. The mineral subfile of the JCPDS file is stored in a database file, from which the Hanawalt groups are created. The expert system then carries out a manual search following exactly the steps prescribed for the Hanawalt method. In the program, both peak positions and intensities are represented by fuzzy numbers. Fuzzy comparisons and fuzzy arithmetic operations are employed in searching for matches. A list of candidate minerals is output in decreasing order of confidence. Other information, such as chemistry, rock type, suspected minerals, etc. can be coded as production rules, thereby further narrowing the list of candidate minerals. Examples composed of typical mineral suites in sedimentary rocks will be given.

  13. An Expert System Approach to Large Space Systems Control

    DTIC Science & Technology

    1988-10-01

    ISPONSORING 8b. OFFICE SYMBOL 9. PROCUREMENT INSTRUMENT IDENTIFICATION NUMBER ORGANIZATION Of appil ,k) FOSR F49620-87- C --0105 8¢. ADDRESS (CRtY, Stat...oo...0 - An Expert System Approach To Large Space Systems Control Octobe 1988Accession For NTIS R& DTIC TAB C . GartrmII Unannounced E W...4.4.1 Case A: I Newton Harmonic Wave with a Frequency of 0.14 Hz 4-12 4.4.2 Case B: 1 Newton Impulse at x = 2.5 m 4-13 4.4.3 Case C : Traveling Wave with

  14. A middle man approach to knowledge acquisition in expert systems

    NASA Technical Reports Server (NTRS)

    Jordan, Janice A.; Lin, Min-Jin; Mayer, Richard J.; Sterle, Mark E.

    1990-01-01

    The Weed Control Advisor (WCA) is a robust expert system that has been successfully implemented on an IBM AT class microcomputer in CLIPS. The goal of the WCA was to demonstrate the feasibility of providing an economical, efficient, user friendly system through which Texas rice producers could obtain expert level knowledge regarding herbicide application for weed control. During the development phase of the WCA, an improved knowledge acquisition method which we call the Middle Man Approach (MMA) was applied to facilitate the communication process between the domain experts and the knowledge engineer. The MMA served to circumvent the problems associated with the more traditional forms of knowledge acquisition by placing the Middle Man, a semi-expert in the problem domain with some computer expertise, at the site of system development. The middle man was able to contribute to system development in two major ways. First, the Middle Man had experience working in rice production and could assume many of the responsibilities normally performed by the domain experts such as explaining the background of the problem domain and determining the important relations. Second, the Middle Man was familiar with computers and worked closely with the system developers to update the rules after the domain experts reviewed the prototype, contribute to the help menus and explanation portions of the expert system, conduct the testing that is required to insure that the expert system gives the expected results answer questions in a timely way, help the knowledge engineer structure the domain knowledge into a useable form, and provide insight into the end user's profile which helped in the development of the simple user friendly interface. The final results were not only that both time expended and costs were greatly reduced by using the MMA, but the quality of the system was improved. This papa will introduce the WCA system and then discuss traditional knowledge acquisition along with

  15. A middle man approach to knowledge acquisition in expert systems

    NASA Technical Reports Server (NTRS)

    Jordan, Janice A.; Lin, Min-Jin; Mayer, Richard J.; Sterle, Mark E.

    1990-01-01

    The Weed Control Advisor (WCA) is a robust expert system that has been successfully implemented on an IBM AT class microcomputer in CLIPS. The goal of the WCA was to demonstrate the feasibility of providing an economical, efficient, user friendly system through which Texas rice producers could obtain expert level knowledge regarding herbicide application for weed control. During the development phase of the WCA, an improved knowledge acquisition method which we call the Middle Man Approach (MMA) was applied to facilitate the communication process between the domain experts and the knowledge engineer. The MMA served to circumvent the problems associated with the more traditional forms of knowledge acquisition by placing the Middle Man, a semi-expert in the problem domain with some computer expertise, at the site of system development. The middle man was able to contribute to system development in two major ways. First, the Middle Man had experience working in rice production and could assume many of the responsibilities normally performed by the domain experts such as explaining the background of the problem domain and determining the important relations. Second, the Middle Man was familiar with computers and worked closely with the system developers to update the rules after the domain experts reviewed the prototype, contribute to the help menus and explanation portions of the expert system, conduct the testing that is required to insure that the expert system gives the expected results answer questions in a timely way, help the knowledge engineer structure the domain knowledge into a useable form, and provide insight into the end user's profile which helped in the development of the simple user friendly interface. The final results were not only that both time expended and costs were greatly reduced by using the MMA, but the quality of the system was improved. This papa will introduce the WCA system and then discuss traditional knowledge acquisition along with

  16. Expert system verification concerns in an operations environment

    NASA Technical Reports Server (NTRS)

    Goodwin, Mary Ann; Robertson, Charles C.

    1987-01-01

    The Space Shuttle community is currently developing a number of knowledge-based tools, primarily expert systems, to support Space Shuttle operations. It is proposed that anticipating and responding to the requirements of the operations environment will contribute to a rapid and smooth transition of expert systems from development to operations, and that the requirements for verification are critical to this transition. The paper identifies the requirements of expert systems to be used for flight planning and support and compares them to those of existing procedural software used for flight planning and support. It then explores software engineering concepts and methodology that can be used to satisfy these requirements, to aid the transition from development to operations and to support the operations environment during the lifetime of expert systems. Many of these are similar to those used for procedural hardware.

  17. An Expert Systems Approach for PR Campaigns Research.

    ERIC Educational Resources Information Center

    Cameron, Glen T.; Curtin, Patricia A.

    1992-01-01

    Describes an expert system (the artificial intelligence program "Publics") that helps users identify key publics for public relations campaigns. Examines advantages and problems encountered in its use in public relations campaigns classrooms. (SR)

  18. An Expert System for the Diagnosis of Vehicle Malfunctions.

    DTIC Science & Technology

    1987-12-01

    is based on general-purpose car renairc manuals . An efford is made to adequately def-ne emeroencies. 2;.. ,:nowledqe base and inference procedure for...multiple domain- dependent knowledge bases. The system is implemented on a personal computer, and is based on general-purpose car repair manuals . An...2], our expert diagnosis system will contain a knowledge base obtained from technical manuals and expert mechanics. It should be possible for less

  19. Alternative Theories of Inference in Expert Systems for Image Analysis.

    DTIC Science & Technology

    1985-02-01

    D-A153 649 ALTERNATIVE THEORIES OF INFERENCE IN EXPERT SYSTEMS FR 12 IMAGE ANALYSIS (U) DECISION SCIENCE CONSORTIUM INC FALLS CHURCH VAl M S COHEN ET...TEST CHART NATIONAL BUREAU OF StANDARDS-1963 A .- ., mETLN..b ? (0 Alentv thoreso inference in expert systems * for image analysis Marvin Cohen Decision...distribution unlimited 4. P[RFCR%0.NG ORCANIZATION REPORT NUMBERIS) s. MONITORING ORGANIZATION REPORT h.UMdiRISI 6. NAMAE 0F PERFORMING ORGANIZATION

  20. Plexus (Phillips Laboratory Expert System-Assisted User Software)

    DTIC Science & Technology

    1997-03-01

    project to develop and distribute an expert system assisted software package of PL atmospheric effects models used in the design and development of electro...friendly, expert system assisted, GUI enhanced software suite of sophisticated atmospheric effects and backgrounds models (FASCODE, MODTRAN, LOWTRAN, SHARC...Celestial Backgrounds Model) developed by PL/GPO to determine the effects of the atmosphere on electro-optic sensor performance. Although a