Sample records for expert systems

  1. Expert System

    DEFF Research Database (Denmark)

    Hildebrandt, Thomas Troels; Cattani, Gian Luca


    An expert system is a computer system for inferring knowledge from a knowledge base, typically by using a set of inference rules. When the concept of expert systems was introduced at Stanford University in the early 1970s, the knowledge base was an unstructured set of facts. Today the knowledge...... base of expert systems is often given in terms of an ontology, extracted and built from various data sources by employing natural language-processing and statistics. To emphasize such capabilities, the term “expert” is now often replaced by “cognitive,” “knowledge,” “knowledge-based,” or “intelligent......” system. With very few exceptions, general-purpose expert systems have failed to emerge so far. However, expert systems are applied in specialized domains, particularly in healthcare. The increasing availability of large quantities of data to organizations today provides a valuable opportunity...

  2. Medical Expert Systems Survey


    Abu-Nasser, Bassem S.


    International audience; There is an increase interest in the area of Artificial Intelligence in general and expert systems in particular. Expert systems are rapidly growing technology. Expert system is a branch of Artificial Intelligence which is having a great impact on many fields of human life. Expert systems use human expert knowledge to solve complex problems in many fields such as Health, science, engineering, business, and weather forecasting. Organizations employing the technology of ...

  3. Introduction to expert systems

    Energy Technology Data Exchange (ETDEWEB)

    Jackson, P.


    Expert systems have become one of the most exciting applications within the domain of artificial intelligence. Further interest has been provoked by Japan's Fifth Generation Project, which identifies expert or knowledge-based systems as a key element in the computer systems of the future. This book presents an introduction to expert systems at a level suited to the undergraduate student and the interested layman. It surveys the three main techniques for knowledge representation - rules, frames and logic. and describes in detail the expert systems which employ them. Contents: Expert systems and artificial intelligence; Formalisms for knowledge representation; MYCIN; Medical diagnosis using rules. MYCIN derivatives; TEIRESIAS, EMYCIN, and GUIDON; RI: recognition as a problem-solving strategy; CENTAUR: a combination of frames metalevel inference and commonsense reasoning in MECHO; Tools for building expert systems; Summary and conclusions; Exercises.

  4. Expert Systems in Education. (United States)

    Hartschuh, Wayne

    This paper argues that the concepts and techniques used in the development of expert systems should be expanded and applied to the field of education, particularly in the area of intelligent tutoring systems. It is noted that expert systems are a well known area of artificial intelligence and have been proven effective in well-defined topic areas.…

  5. Benchmarking expert system tools (United States)

    Riley, Gary


    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.

  6. Capital Expert System (United States)

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


    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.

  7. Evolution of expert systems

    Energy Technology Data Exchange (ETDEWEB)

    Biancoli, L.


    A brief exposition of the nature and functions of expert systems (knowledge based systems) and some remarks upon the way in which they resemble, but fall far short of, the very largely intuitive action of the human brain are given. The remainder of the article consists of summaries of the work being done in this field by organisations in Italy, namely: ISPRA; Delphi Electronic Design Systems, VIAREGGIO; SPL Italia SPA, (VA), Milan; Italservice Srl, Milan; and Artificial Intelligence Software, Rovigo.

  8. ALICE Expert System

    CERN Document Server

    Ionita, C


    The ALICE experiment at CERN employs a number of human operators (shifters), who have to make sure that the experiment is always in a state compatible with taking Physics data. Given the complexity of the system and the myriad of errors that can arise, this is not always a trivial task. The aim of this paper is to describe an expert system that is capable of assisting human shifters in the ALICE control room. The system diagnoses potential issues and attempts to make smart recommendations for troubleshooting. At its core, a Prolog engine infers whether a Physics or a technical run can be started based on the current state of the underlying sub-systems. A separate C++ component queries certain SMI objects and stores their state as facts in a Prolog knowledge base. By mining the data stored in dierent system logs, the expert system can also diagnose errors arising during a run. Currently the system is used by the on-call experts for faster response times, but we expect it to be adopted as a standard tool by reg...

  9. Expert Systems - A Natural History


    Shadbolt, N. R.


    This paper examines the origins, current state and future prospects for expert systems. The origins are traced from the schism with classic Artificial Intelligence. The characteristics of early expert systems are described and contrasted with more recent developments. A number of influential forces operating on present day systems are reviewed. The future trends in the evolution of expert systems are discussed.

  10. Expert systems for satellite stationkeeping (United States)

    Mekaru, M. M.; Wright, M. A.

    The feasibility of implementing artificial intelligence on satellites is evaluated, with the aim of using an onboard expert system to perform effective stationkeeping functions without assistance from the ground. The Defense Satellite Communication System (DSCS III) is used as an example. The cost for implementing a satellite stationkeeping expert system is analyzed. A ground-based expert system could reduce the current number of support personnel for the stationkeeping task. Results of analyzing a possible flight system are quite promising. An expert system for satellite stationkeeping seems feasible, appears cost-effective, and offers increased satellite endurance through autonomous operations.

  11. Engineering monitoring expert system's developer (United States)

    Lo, Ching F.


    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.

  12. Expert Systems for auditing management information systems

    Directory of Open Access Journals (Sweden)

    Gheroghe Popescu


    Full Text Available Expert systems are built with the help of: specialised programming languages or expert system generators (shell. But this structure was reached after tens of years of work and research, because expert systems are nothing but pragmatic capitalisation of the results of research carried out in artificial intelligence and theory of knowledge.

  13. Artificial Intelligence and Expert Systems. (United States)

    Wilson, Harold O.; Burford, Anna Marie


    Delineates artificial intelligence/expert systems (AI/ES) concepts; provides an exposition of some business application areas; relates progress; and creates an awareness of the benefits, limitations, and reservations of AI/ES. (Author)

  14. Database and Expert Systems Applications

    DEFF Research Database (Denmark)

    Viborg Andersen, Kim; Debenham, John; Wagner, Roland

    This book constitutes the refereed proceedings of the 16th International Conference on Database and Expert Systems Applications, DEXA 2005, held in Copenhagen, Denmark, in August 2005.The 92 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 390...... submissions. The papers are organized in topical sections on workflow automation, database queries, data classification and recommendation systems, information retrieval in multimedia databases, Web applications, implementational aspects of databases, multimedia databases, XML processing, security, XML......, reasoning and learning, network management and mobile systems, expert systems and decision support, and information modelling....

  15. Database and Expert Systems Applications

    DEFF Research Database (Denmark)

    Viborg Andersen, Kim; Debenham, John; Wagner, Roland

    This book constitutes the refereed proceedings of the 16th International Conference on Database and Expert Systems Applications, DEXA 2005, held in Copenhagen, Denmark, in August 2005.The 92 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 390......, reasoning and learning, network management and mobile systems, expert systems and decision support, and information modelling.......This book constitutes the refereed proceedings of the 16th International Conference on Database and Expert Systems Applications, DEXA 2005, held in Copenhagen, Denmark, in August 2005.The 92 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 390...... submissions. The papers are organized in topical sections on workflow automation, database queries, data classification and recommendation systems, information retrieval in multimedia databases, Web applications, implementational aspects of databases, multimedia databases, XML processing, security, XML...

  16. Database and Expert Systems Applications

    DEFF Research Database (Denmark)

    Viborg Andersen, Kim; Debenham, John; Wagner, Roland

    submissions. The papers are organized in topical sections on workflow automation, database queries, data classification and recommendation systems, information retrieval in multimedia databases, Web applications, implementational aspects of databases, multimedia databases, XML processing, security, XML......, reasoning and learning, network management and mobile systems, expert systems and decision support, and information modelling....

  17. Expert system application education project (United States)

    Gonzelez, Avelino J.; Ragusa, James M.


    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.

  18. QUEST: Quality of Expert Systems

    NARCIS (Netherlands)

    Perre, M.


    TNO Physics and Electronics laboratory, in collaboration with the University of Limburg and the Research Institute for Knowledge Systems, worked on a technology project named 'QUEST: Quality of Expert Systems' [FEL90]. QUEST was carried out under commision of the Dutch Ministry of Defence. A strong

  19. Laserjet Printer Troubleshooting Expert System

    African Journals Online (AJOL)


    This paper model an expert system called LAPTEX for troubleshooting LaserJet printers' faults. Today, with the innumerable advances in information technologies, computerizing printer's fault troubleshooting and identifying faults is far becoming so vital. Also, printers' fault detection is a complicated process that requires a ...

  20. Expert System for ASIC Imaging (United States)

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


    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.

  1. Expert system validation in prolog (United States)

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


    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.

  2. Database and Expert Systems Applications

    DEFF Research Database (Denmark)

    Viborg Andersen, Kim; Debenham, John; Wagner, Roland

    schemata, query evaluation, semantic processing, information retrieval, temporal and spatial databases, querying XML, organisational aspects of databases, natural language processing, ontologies, Web data extraction, semantic Web, data stream management, data extraction, distributed database systems......This book constitutes the refereed proceedings of the 16th International Conference on Database and Expert Systems Applications, DEXA 2005, held in Copenhagen, Denmark, in August 2005.The 92 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 390...... submissions. The papers are organized in topical sections on workflow automation, database queries, data classification and recommendation systems, information retrieval in multimedia databases, Web applications, implementational aspects of databases, multimedia databases, XML processing, security, XML...

  3. Enhancing the Learning Process with Expert Systems. (United States)

    Karake, Zeinab A.


    Discusses the use of artificial intelligence and expert system shells to enhance the learning process of graduate or undergraduate statistics students. A student exercise is described using STAT-EXPERT, an expert system designed to help students select the appropriate statistical analysis technique. (25 references) (LRW)

  4. Fire Effects, Education, and Expert Systems (United States)

    Robert E. Martin


    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...

  5. Language theory and expert systems

    Directory of Open Access Journals (Sweden)

    Attilio Agodi


    Full Text Available Some remarks on the problem of knowledge representation and processing, as recognized in connection with the use of computers in the scientific research work, emphasizes the relevance of these problems for the studies on both the theory of languages and the expert system. A consideration of the common traits in the recent history of these studies, with reference to the use of computers on texts in natural language motivates the introduction of set theoretic and algebraic methods, suitable for applications in the analysis and in the automatic treatment of languages, based on the concept of model sets and on relational structures suggested from the connections between syntax and semantics evidenced in some example of sub-languages corresponding to theories of different classes of physical phenomena. Some details of these methods are evidenced, which have already successfully used or whose applications appears suggestive of interesting development.

  6. Operational expert system applications in Canada

    CERN Document Server

    Suen, Ching Y


    This book is part of a new series on operational expert systems worldwide. Expert systems are now widely used in different parts of the world for various applications. The past four years have witnessed a steady growth in the development and deployment of expert systems in Canada. Research in this field has also gained considerable momentum during the past few years. However, the field of expert systems is still young in Canada. This book contains 13 chapters contributed by 31 experts from both universities and industries across Canada covering a wide range of applications related to electric

  7. Operational expert system applications in Europe

    CERN Document Server

    Zarri, Gian Piero


    Operational Expert System Applications in Europe describes the representative case studies of the operational expert systems (ESs) that are used in Europe.This compilation provides examples of operational ES that are realized in 10 different European countries, including countries not usually examined in the standard reviews of the field.This book discusses the decision support system using several artificial intelligence tools; expert systems for fault diagnosis on computerized numerical control (CNC) machines; and expert consultation system for personal portfolio management. The failure prob

  8. Expert systems to improve plant operability

    Energy Technology Data Exchange (ETDEWEB)

    Sopocy, D.M.; Glazer, A.R. (Sargent and Lundy, Chicago, IL (USA)); Jonas, O. (Jonas, Inc., Wilmington, DE (US)); Rice, J.K. (James K. Rice, Chartered, Olney, MD (US))


    Prospective expert system applications in the power industry generally are in one of the following categories:esign, information management, plant operations, and equipment diagnostics. Many power facility expert system efforts are four plant operations. Several of these applications help optimize plant operation and also detect developing problems and suggest remedial action before the occurrence of any serious consequences. Many types of plant processes and equipment can benefit from routine trending and evaluation of operating data by this type of expert system. This paper discusses a variety of special considerations for the development and implementation of expert systems for plant operations, both in general and as exemplified by CYCLEXPRT.

  9. Expert systems in treating substance abuse. (United States)

    Wesson, D R; Hink, R H


    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.

  10. Expert systems and ballistic range data analysis (United States)

    Hathaway, Wayne; Steinhoff, Mark; Whyte, Robert; Brown, David; Choate, Jeff; Adelgren, Russ


    A program aimed at the development of an expert system for the reduction of ballistic range data is described. The program applies expert system and artificial intelligence techniques to develop a mathematically complex state-of-the-art spark range data reduction procedure that includes linear theory and six-degree-of-freedom analysis. The scope of the knowledge base includes both spin and statically stable vehicles. The expert system is expected to improve the quality of the data reduction process while reducing the work load on the senior range engineer.

  11. GEST = The Generic Expert System Tool (United States)

    Gilmore, John F.; Ho, David; Howard, Chuck


    The development cycle of an expert system can be decreased if an effective expert system tool (EST) is used. This paper describes the Generic Expert System Tool (GEST) developed by the Artificial Intelligence Branch of the Georgia Tech Research Institute. GEST was developed to be as general purpose as possible while incorporating all of the basic features required of an EST used for real world applications. This paper outlines GEST's basic software architecture and highlights a variety of it's processing elements. A discussion of future enhancement currently being implemented to increase GEST's application domains is also provided.



    Ioan Constantin Dima; Mariana Man; Ciurea Vergil; Iwona Grabara


    In the conditions of computing the human society, the operational management activities can be improved by using artificial intelligence. Therefore, an expert system is proposed, for the metallurgical industry, for the casting activity for parts necessary in mining industry.

  13. Jess, the Java expert system shell

    Energy Technology Data Exchange (ETDEWEB)

    Friedman-Hill, E.J.


    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.

  14. Expert Systems: An Introduction -46 ...

    Indian Academy of Sciences (India)

    One of the goals of Artificial Intelligence is to develop systems .... If the value of an antecedent is not known (in the WM memory), the system checks if there are any other rules with that as a consequent; thus setting up a sub-goal. .... classifying the distance as either 'far' or 'not far', we have a continuous distribution of values.

  15. Optical Design Using an Expert System

    Energy Technology Data Exchange (ETDEWEB)

    Lerner, S A


    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.

  16. Database and Expert Systems Applications

    DEFF Research Database (Denmark)

    Viborg Andersen, Kim; Debenham, John; Wagner, Roland

    submissions. The papers are organized in topical sections on workflow automation, database queries, data classification and recommendation systems, information retrieval in multimedia databases, Web applications, implementational aspects of databases, multimedia databases, XML processing, security, XML...

  17. Applications of artificial intelligence and expert systems

    Energy Technology Data Exchange (ETDEWEB)


    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.

  18. Commercial Expert-System-Building Software Tools (United States)

    Gevarter, William B.


    Report evaluates commercially-available expert-system-building tools in terms of structures, representations of knowledge, inference mechanisms, interfaces with developers and end users, and capabilities of performing such functions as diagnosis and design. Software tools commercialized derivatives of artificial-intelligence systems developed by researchers at universities and research organizations. Reducing time to develop expert system by order of magnitude compared to that required with such traditional artificial development languages as LISP. Table lists 20 such tools, rating attributes as strong, fair, programmable by user, or having no capability in various criteria.

  19. Using expert systems in industrial production management


    Ioan Constantin Dima; Codruţa Dura


    The expert system aiming the moulded pieces production management improving is designed to assist maintenance and operation personal in the process of diagnosis of complex defects which may appear during the technological process, but the system must also contribute to technical measurements adopted after these distortions have emerged

  20. Expert system support and juridical quality

    NARCIS (Netherlands)

    Groothuis, Marga M.; Svensson, Jorgen S.; Breuker, J.; Leenes, R.E.; Winkels, R.


    This article discusses the use of expert systems as a means of achieving juridical quality within administrative organisations. Do these systems really improve the quality of decision making and provide the desired guarantees with respect to the correct treatment of clients?

  1. ROSIE: A Programming Environment for Expert Systems (United States)


    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

  2. Spacecraft command and control using expert systems (United States)

    Norcross, Scott; Grieser, William H.


    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.

  3. Expert system terms and building tools (United States)

    Gevarter, William B.


    The characteristics of an Expert System Building Tool (ESBT) capable of inference and hypothetical reasoning are discussed. The inference capabilities of ESBTs allow such functions as classification, design-synthesis, forecasting, decision-aiding, scheduling and planning, real-time monitoring, situation assessment, the discovery of novel relations, and debugging. ESBTs are noted to have made possible order-of-magnitude improvements in expert system construction. Higher-end ESBTs are moving from LISP machines to less expensive workstations, and lower-end ones are appearing on PCs.


    Directory of Open Access Journals (Sweden)

    NAN Anca-Petruţa


    Full Text Available Because of the fact that specialty agricultural assistance is not always available when the farmers need it, we identified expert systems as a strong instrument with an extended potential in agriculture. This started to grow in scale recently, including all socially-economic activity fields, having the role of collecting data regarding different aspects from human experts with the purpose of assisting the user in the necessary steps for solving problems, at the performance level of the expert, making his acquired knowledge and experience available. We opted for a general presentation of the expert systems as well as their necessity, because, the solution to develop the agricultural system can come from artificial intelligence by implementing the expert systems in the field of agricultural insurance, promoting existing insurance products, farmers finding options in depending on their necessities and possibilities. The objective of this article consists of collecting data about different aspects about specific areas of interest of agricultural insurance, preparing the database, a conceptual presentation of a pilot version which will become constantly richer depending on the answers received from agricultural producers, with the clearest exposure of knowledgebase possible. We can justify picking this theme with the fact that even while agricultural insurance plays a very important role in agricultural development, the registered result got from them are modest, reason why solutions need to be found in the scope of developing the agricultural sector. The importance of this consists in the proposal of an immediate viable solution to correspond with the current necessities of agricultural producers and in the proposal of an innovative solution, namely the implementation of expert system in agricultural insurance as a way of promoting insurance products. Our research, even though it treats the subject at an conceptual level, it wants to undertake an

  5. Knowledge-Acquisition Tool For Expert System (United States)

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


    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.

  6. REXS : A financial risk diagnostic expert system

    Directory of Open Access Journals (Sweden)

    W. Richter


    Full Text Available

    ENGLISH ABSTRACT: Artificial intelligence techniques are rapidly emerging as important contributors to more effective management. One of the greatest growth areas probably lies in the use of Expert System methodology for supporting managerial decision processes.
    Existing Decision Support Systems often attempt to apply analytical techniques in combination with traditional data access and retrieval functions. One of the problems usually encountered while developing such decision support systems is the need to transform an unstructured problem environment into a structured analytical model. Using an expert system approach to strategic decision making in such unstructured problem environments may provide significant advantages.
    The financial Risk diagnostic EXpert System (REXS concentrates on Financial Risk Analysis. Based on a Forecasting Model the system will, with the support of several expert system knowledge bases, attempt to evaluate the financial risk of a business and provide guidelines for improvement.

    AFRIKAANSE OPSOMMING: Tegnieke gebaseer op Kunsmatige Intelligensie toon tans die belofte om belangrike bydraes te maak tot meerBestaande Besluitsteunstelsels poog dikwels om analitiese tegnieke en lradisionele datatoegang- en onttrekkingsfunksies te kombineer. Een van die probleme wat gewoonlik ondervind word gedurende die ontwikkeling van '0 besluitsteunstelsel bestaan uit die behoefte om 'n ongestruktueerde probleemomgewing te transformeer na 'n gestruktueerde analitiese model. 'n Ekspertstelselbenadering lot strategiese besluitneming in 'n ongeSlruktureerde probleemomgewing mag betekenisvolle voordele inhou.
    Die "financial Risk diagnostic EXpert System (REXS" konsentreer op fmansiele risiko-analise. Uitgaande vanaf 'n Vooruitskattingsmode~ en deur gebruik te maak van verskeie ekspertstelselkennisbasisse, poog die stelsel om die fmansiele risiko van 'n onderneming te evalueer en riglyne vir moontlike verbetering

  7. Laserjet Printer Troubleshooting Expert System | Adesola | West ...

    African Journals Online (AJOL)

    This paper model an expert system called LAPTEX for troubleshooting LaserJet printers' faults. Today, with the innumerable advances in information technologies, computerizing printer's fault troubleshooting and identifying faults is far becoming so vital. Also, printers' fault detection is a complicated process that requires a ...


    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...

  9. Fuzzy Expert System to Characterize Students (United States)

    Van Hecke, T.


    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…

  10. PLEXUS--The Expert System for Referral. (United States)

    Vickery, A.; Brooks, H. M.


    Presents a description of PLEXUS, an expert system on gardening designed as a referral tool for public libraries by the University of London. Highlights include determining user characteristics, developing the problem statement, the use of semantic categories, and search strategies that modify the original problem statement using Boolean…

  11. An Expert System for Diagnosis of Diseases in Rice Plant


    Shikhar Kr. Sarma; Kh. Robindro Singh; Abhijeet Singh


    This paper presents an architectural framework of an Expert System in the area of agriculture and describes the design and development of the rule based expert system, using the shell ESTA (Expert System for Text Animation). The designed system is intended for the diagnosis of common diseases occurring in the rice plant. An Expert System is a computer program normally composed of a knowledge base, inference engine and user-interface. The proposed expert system facilitates different components...

  12. A distributed expert system for fault diagnosis

    Energy Technology Data Exchange (ETDEWEB)

    Cardozo, E.; Talukdar, S.N.


    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.

  13. SENSAT(C) prototype expert system (United States)

    Lavender, Joseph A.


    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.

  14. Expert systems for on line security assessment

    Energy Technology Data Exchange (ETDEWEB)

    Christie, R.D.; Talukdar, S.N.


    This paper argues that automatic security assessment schemes cannot generate information of high quality until their architectures, which are now wholly algorithmic, are changed to hybrids combining algorithms with expert systems. In particular, numerical algorithms should continue to be used for simulating the effects of contingencies, but expert systems should be developed for selecting the contingencies and interpreting the simulation results. These changes will make automatic schemes more closely resemble the manual schemes that are used off line too generate assessment information of high quality. The problems of integrating hybrid software into existing Energy Management Systems (EMSs) are far from trivial. The paper goes on to discuss these problems and suggest a solution, namely the use of a network of workstations tied to existing EMS computers.

  15. Fuzzy Expert System for Heart Attack Diagnosis (United States)

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


    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.

  16. Quantitative knowledge acquisition for expert systems (United States)

    Belkin, Brenda L.; Stengel, Robert F.


    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.

  17. The Expert Project Management System (EPMS) (United States)

    Silverman, Barry G.; Diakite, Coty


    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.


    Rogers, J. L.


    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.

  19. Resource allocations and expert systems. Final report

    Energy Technology Data Exchange (ETDEWEB)


    The work performed to meet the requirement of this task is a continuing effort, evolving toward a general-purpose reasoning tool. The idea here is to build a more-powerful general expert system than the previous one. Towards that, this new Bayesian inference engine is based on the work done by Pearl and Kim. The advantages of this new inference engine over the previous one are that the representation of the knowledge is more compact and the inferencing is suitable for parallel processing. The inference engine is written in Franz lisp on VAX machine. All the code and a typescript of how to load and use the system is attached.

  20. Developing a biomedical expert finding system using medical subject headings. (United States)

    Singh, Harpreet; Singh, Reema; Malhotra, Arjun; Kaur, Manjit


    Efficient identification of subject experts or expert communities is vital for the growth of any organization. Most of the available expert finding systems are based on self-nomination, which can be biased, and are unable to rank experts. Thus, the objective of this work was to develop a robust and unbiased expert finding system which can quantitatively measure expertise. Medical Subject Headings (MeSH) is a controlled vocabulary developed by the National Library of Medicine (NLM) for indexing research publications, articles and books. Using the MeSH terms associated with peer-reviewed articles published from India and indexed in PubMed, we developed a Web-based program which can be used to identify subject experts and subjects associated with an expert. We have extensively tested our system to identify experts from India in various subjects. The system provides a ranked list of experts where known experts rank at the top of the list. The system is general; since it uses information available with the PubMed, it can be implemented for any country. The expert finding system is able to successfully identify subject experts in India. Our system is unique because it allows the quantification of subject expertise, thus enabling the ranking of experts. Our system is based on peer-reviewed information. Use of MeSH terms as subjects has standardized the subject terminology. The system matches requirements of an ideal expert finding system.

  1. An Expert System Design and Application for Hydroponics Greenhouse Systems


    CALP, M. Hanefi; İsmail ŞAHİN; ÖZKAN, Atacan


    In this study, the hydroponics subject is briefly discussed and developed an expert system on the subject. Expert system, the process of upbringing of plants produced in the hydroponics systems has controlled. The system is able to determine to the values ​​of input parameters by using output parameters entered by user. The input parameters preparing the optimum growing environment for plants by controlling the process of plant breeding. Thus, removal of the optimum level of efficiency in act...

  2. Rotating Machinery Predictive Maintenance Through Expert System

    Directory of Open Access Journals (Sweden)

    M. Sarath Kumar


    Full Text Available Modern rotating machines such as turbomachines, either produce or absorb huge amount of power. Some of the common applications are: steam turbine-generator and gas turbine-compressor-generator trains produce power and machines, such as pumps, centrifugal compressors, motors, generators, machine tool spindles, etc., are being used in industrial applications. Condition-based maintenance of rotating machinery is a common practice where the machine's condition is monitored constantly, so that timely maintenance can be done. Since modern machines are complex and the amount of data to be interpreted is huge, we need precise and fast methods in order to arrive at the best recommendations to prevent catastrophic failure and to prolong the life of the equipment. In the present work using vibration characteristics of a rotor-bearing system, the condition of a rotating machinery (electrical rotor is predicted using an off-line expert system. The analysis of the problem is carried out in an Object Oriented Programming (OOP framework using the finite element method. The expert system which is also developed in an OOP paradigm gives the type of the malfunctions, suggestions and recommendations. The system is implemented in C++.

  3. Development of the Expert System Domain Advisor and Analysis Tool (United States)


    systems. 3. Educational background a. General b. Expert Systems 98 Description of ’ome expert systems worked on. For eacn of the Expert Systems discussed...of an ES to evaluate the suitability of a project for using ES tecnology is not recxzmrxded because the wide variation in projects wold reqdir

  4. An Expert System for Concrete Bridge Management

    DEFF Research Database (Denmark)

    Brito, J. de; Branco, F. A.; Thoft-Christensen, Palle


    The importance of bridge repair versus new bridge construction has risen in recent decades due to high deterioration rates that have been observed in these structures. Budgets both for building new bridges and keeping the existing ones are always limited. To help rational decision-making, bridge...... management systems are presently being implemented by bridge authorities in several countries. The prototype of an expert system for concrete bridge management is presented in this paper, with its functionality relying on two modules. The inspection module relies on a periodic acquisition of field...... information complemented by a knowledge-based interactive system, BRIDGE-1. To optimize management strategies at the headquarters, the BRIDGE-2 module was implemented, including three submodules: inspection strategy, maintenance and repair....

  5. An expert system for wind shear avoidance (United States)

    Stengel, Robert F.; Stratton, D. Alexander


    The 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 aircraft's autopilot and flight directors for both automatic and manually controlled flight. The expert system for pilot aiding is based on the results of the FAA Windshear Training Aids Program, a two-volume manual that presents an overview, pilot guide, training program, and substantiating data that provides guidelines for this initial development. The Windshear Safety Advisor expert system currently contains over 140 rules and is coded in the LISP programming language for implementation on a Symbolics 3670 LISP Machine.

  6. Computer Guided Educational Diagnosis: A Prototype Expert System. (United States)

    Colbourn, Marlene; McLeod, John


    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…

  7. A diagnostic expert system for digital circuits (United States)

    Backlund, R. W.; Wilson, J. D.


    A scheme is presented for a diagnostic expert system which is capable of troubleshooting a faulty digital circuit or producing a reduced test vector set for a non-faulty digital circuit. It is based on practical fault-finding logic and utilizes artificial intelligence techniques. The program uses expert knowledge comprised of two components: that which is contained within the program in the form of rules and heuristics, and that which is derived from the circuit under test in the form of specific device information. Using both forward and backward tracking algorithms, signal paths comprised of device and gate interconnections are identified from each output pin to the primary input pins which have effect on them. Beginning at the output, the program proceeds to validate each device in each signal path by forward propagating test values through the device to the output, and backward propagating the same values to the primary inputs. All devices in the circuit are monitored for each test applied and their performance is recorded. Device or gate validation occurs when the recorded history shows that a device has been toggled successfully through all necessary states. When run on a circuit which does not contain a fault, the program determines a reduced test vector set for that circuit.

  8. Blood Donor Deferrals by Expert System (United States)

    Sorace, James M.; Berman, Jules J.; Brown, Lawrence A.; Moore, G. William


    Blood collection facilities have recently witnessed a substantial increase in the number of different tests used to detect infectious disease in donor populations. These facilities are also experiencing an increasingly stringent regulatory effort on the part of the Food and Drug Administration to determine the validity of the software used to handle this information. This report describes a precedence-based inference program (PRELOG) and a modular expert system used to determine a donor's suitability for continued donations (donor deferrals), and whether the donated unit can be released for transfusion. PRELOG accepts ternary logic input, in which test results are allowed to be positive, negative, or undetermined; and allows one to assign precedence values to the logic rules. These features enable programs to be written in a shorter, more error-resistant manner. A comparison between PRELOG and PROLOG is included, and the utility of this approach in producing and validating blood bank software is discussed.

  9. Expert system for spacecraft command and control (United States)

    Wagner, R. E.

    The application of AI techniques to the automation of ground control functions in the defense satellite communication system (DSCS) is described. The aim of this effort is to lower the vulnerability of the DSCS to attack; a first step is the design of software for spacecraft maintenance and control. The benefits of automation and the need for high-level implementation are reviewed. A knowledge-based or expert approach was chosen to automate telemetry-interpretation, trend-analysis, anomaly-resolution, and status-maintenance functions now performed solely by operators; and a design concept was developed to meet the requirements of extendability, simplicity, and explicitness. Rule-based and logic-based knowledge-representation schemes, and data-driven and goal-driven control strategies are compared. The programming tools developed by the different organizations participating in the AI effort are indicated in a table.

  10. The Application of Big-Neuron Theory in Expert Systems

    Institute of Scientific and Technical Information of China (English)



    With a new way of knowledge representation and acquirement, inference, and building an expert system based on big-neurons composed of different field expert knowledge presented, the fundamental theory and architecture of expert system based upon big-neuron theory has thus been built. It is unnecessary to organize a large number of production rules when using big-neurons to build an expert system. The facts and rules of an expert system have already been hidden in big-neurons. And also, it is unnecessary to do a great quantity of tree searching when using this method to do logic reasoning. Machine can do self-organizing and self-learning.

  11. Expert System For Diagnosis Of Skin Diseases

    Directory of Open Access Journals (Sweden)

    A.A.L.C. Amarathunga


    Full Text Available Abstract Dermatology is a one of major session of medicine that concerned with the diagnosis and treatment of skin diseases. Skin diseases are the most common form of disease in humans. Recently many of researchers have advocated and developed the imaging of human vision or in the loop approach to visual object recognition. This research paper presents a development of a skin diseases diagnosis system which allows user to identify diseases of the human skin and to provide advises or medical treatments in a very short time period. For this purpose user will have to upload an image of skin disease to our system and answer questions based on their skin condition or symptoms. It will be used to detect diseases of the skin and offer a treatment recommendation. This system uses technologies such as image processing and data mining for the diagnosis of the disease of the skin. The image of skin disease is taken and it must be subjected to various preprocessing for noise eliminating and enhancement of the image. This image is immediately segmentation of images using threshold values. Finally data mining techniques are used to identify the skin disease and to suggest medical treatments or advice for users. This expert system exhibits disease identification accuracy of 85 for Eczema 95 for Impetigo and 85 for Melanoma.

  12. Expert systems guide biological phosphorus removal

    Energy Technology Data Exchange (ETDEWEB)

    Krichten, D.J.; Wilson, K.D.; Tracy, K.D. (Air Products and Chemicals, Inc., Allentown, PA (United States))


    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.

  13. Expert system to control a fusion energy experiment

    Energy Technology Data Exchange (ETDEWEB)

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


    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.

  14. Expert System for Data Security Risk Management for SMEs

    Directory of Open Access Journals (Sweden)

    Justinas Janulevičius


    Full Text Available Accessibility of expertise and expert inferences is one of the key factors for appropriate expert evaluation. Appropriate and timely expert information allows a smooth process of expertise. Small and medium enterprises (SMEs have limited possibilities to acquire professional expertise for data security risk analysis due to limited finances. A risk management expert system is developed for SMEs with the ability to adapt to various subject domains using ontologies of the field.Article in Lithuanian

  15. Expert Systems--A Competent Tool for Training? (United States)

    Shaoul, Jean; Smith, P. J.

    Expert systems, rule-based knowledge systems, have been widely heralded as an important tool in management and accounting. Expert system shells have become available for personal computers, and accountants are investing in systems which are supposed to be capable of intelligent decisions. The limitations of rule-based knowledge systems are…

  16. Expert systems for real-time monitoring and fault diagnosis (United States)

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


    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.

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

    Energy Technology Data Exchange (ETDEWEB)

    Creider, R.D.; Sundar Singh, P.S. [Texas A& M Univ., Commerce, TX (United States)


    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.

  18. Applicability of tunnel boring Machine and its expert system. Tunnel kusshinki no tekiyosei to expert system

    Energy Technology Data Exchange (ETDEWEB)

    Okubo, S. (Univ. of Tokyo, Tokyo (Japan). Faculty of Engineering)


    A tunnel boring machine (TBM) shows extreme lowering in mean penetration rate if it is not properly applied and used, therefore, it is required to discuss the applicability of TBM in advance. In this papaer, the work results presented up to now and knowledge concerning to TBM performances are collected and implemented in a computer program which is called an expert system for applicability of TBM. In this expert system, input parameters are tunnel length, tunnel diameter, maximum curvature, dip, uniaxial compressive strength etc., and penetration rate, normal force, rolling force etc. are deduced together with the appraisal and recommendation for users. Through the several case studies, it was found that the developed expert system gives the appropriate results specially for the tunnels excavated in North America and Europe. In cases of tunnels excavated in Japan, the estimated penetration rate is far less than the actual result. Consideration for complicated environments and surroundings differing from country to country may be remained for future. 31 refs., 4 figs., 6 tabs.

  19. Handbook of VLSI chip design and expert systems

    CERN Document Server

    Schwarz, A F


    Handbook of VLSI Chip Design and Expert Systems provides information pertinent to the fundamental aspects of expert systems, which provides a knowledge-based approach to problem solving. This book discusses the use of expert systems in every possible subtask of VLSI chip design as well as in the interrelations between the subtasks.Organized into nine chapters, this book begins with an overview of design automation, which can be identified as Computer-Aided Design of Circuits and Systems (CADCAS). This text then presents the progress in artificial intelligence, with emphasis on expert systems.

  20. Expert system for skin problem consultation in Thai traditional ...

    African Journals Online (AJOL)

    Materials and Methods: The tool selected for developing the expert system is a software program written in the PHP language. MySQL database is used to work together with PHP for building database of the expert system. The system is ... The developed system was considered good for learning and consultation.

  1. Expert System Techniques and Applications in AEC-Design

    DEFF Research Database (Denmark)

    Andersen, Tom

    This part of a book presents expert system techniques applicable to building design and construction, and it reports and evaluates on systems developed in thar domain.......This part of a book presents expert system techniques applicable to building design and construction, and it reports and evaluates on systems developed in thar domain....

  2. Rule Based Expert System for Cerebral Palsy Diagnosis


    Borgohain, Rajdeep; Sanyal, Sugata


    The use of Artificial Intelligence is finding prominence not only in core computer areas, but also in cross disciplinary areas including medical diagnosis. In this paper, we present a rule based Expert System used in diagnosis of Cerebral Palsy. The expert system takes user input and depending on the symptoms of the patient, diagnoses if the patient is suffering from Cerebral Palsy. The Expert System also classifies the Cerebral Palsy as mild, moderate or severe based on the presented symptoms.

  3. Proceedings of the second international expert systems conference

    Energy Technology Data Exchange (ETDEWEB)


    This book presents the papers given at a conference on knowledge engineering. Topics considered at the conference included data base management, real time process control, artificial intelligence, decision making, expert systems in the nuclear sector, the uses of expert systems in education and training, radar applications, software and knowledge engineering methods, uncertainty, natural language, and man-machine systems.

  4. Neuro-expert system applications in power systems

    Energy Technology Data Exchange (ETDEWEB)

    Khosla, R.; Dillon, T.


    In this chapter we outline a generic neuro-expert system (GENUES) architecture for hybrid reasoning. The architecture consists of five phases, namely, decomposition phase, control phase, decision phase, preprocessing phase, and postprocessing phase. The architecture is particularly applicable in time critical diagnostic/classification domains and data intensive domains in general. We describe the application of GENUES in a real time alarm processing system in a power system control centre. (Author)

  5. Integrated Knowledge Based Expert System for Disease Diagnosis System (United States)

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


    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.

  6. The BRIEFER project: using expert systems as theory construction tools. (United States)

    Gingerich, W J; de Shazer, S


    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.

  7. Expert System for Diagnosis of Hepatitis B Ibrahim Mailafiya, Fatima ...

    African Journals Online (AJOL)

    Expert System for Diagnosis of Hepatitis B. Ibrahim Mailafiya, Fatima Isiaka. Department of Computer Science,. Nasarawa State University, Keffi. Abstract. This paper is a preview of the work so far concluded on Expert Systems implementation for the diagnosis of hepatitis B, which is one of the most common of all hepatitis ...

  8. The development of an expert system for arid rangeland ...

    African Journals Online (AJOL)

    Currently, the expert system uses wiki technology, as this allows a high level of interaction between user and administrator. The expert system includes embedded links to photographs and additional information. It allows easy updating of the knowledge base. An additional booklet was also developed, since access to ...


    Directory of Open Access Journals (Sweden)

    Hüdayim BAŞAK


    Full Text Available In this study, a expert system has been developed using Leonardo expert system package programming for screw operation, According to DIN standard norm. The designed program decide the most suitable screw type considering to material, cutting speed, working condition etc. This program also directs to user.

  10. The Principles of Designing an Expert System in Teaching Mathematics (United States)

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


    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…

  11. Neural expert decision support system for stroke diagnosis (United States)

    Kupershtein, Leonid M.; Martyniuk, Tatiana B.; Krencin, Myhail D.; Kozhemiako, Andriy V.; Bezsmertnyi, Yurii; Bezsmertna, Halyna; Kolimoldayev, Maksat; Smolarz, Andrzej; Weryńska-Bieniasz, RóŻa; Uvaysova, Svetlana


    In the work the hybrid expert system for stroke diagnosis was presented. The base of expert system consists of neural network and production rules. This program can quickly and accurately set to the patient preliminary and final diagnoses, get examination and treatment plans, print data of patient, analyze statistics data and perform parameterized search for patients.

  12. Expert systems applications for space shuttle payload integration automation (United States)

    Morris, Keith


    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.

  13. Utilizing expert systems for satellite monitoring and control (United States)

    Hughes, Peter M.


    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

  14. Toward an expert project management system (United States)

    Silverman, Barry G.; Murray, Arthur; Diakite, Coty; Feggos, Kostas


    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.

  15. Expert system application for prioritizing preventive actions for shift work: shift expert. (United States)

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


    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.

  16. Expert Systems the Old Fashioned Way: Person to Person. (United States)

    McCleary, Hunter; Mayer, William J.


    Describes the services of Teltech, Inc., which mimic the desirable attributes of artificial intelligence and expert systems via a "database" of 5,000 experts in technical areas and interactive literature searches executed by staff. Advantages and shortcomings of the network are exemplified by sample searches. Several sample menus and…

  17. Application of expert systems technology in water-quality modeling

    Energy Technology Data Exchange (ETDEWEB)

    Barnwell, T.O.; Brown, L.C.; Marek, W.


    Computerized modeling is becoming an integral part of decision making in water pollution control. Expert Systems is an innovative methodology that can assist in building, using, and interpreting the output of the models. The paper reviews the use and evaluates the potential of expert systems technology in environmental modeling and describes the elements of an expert advisor for the stream water quality model QUAL2E. Some general conclusions are presented about the tools available to develop the system, the level of available technology in knowledge-based engineering, and the value of approaching problems from a knowledge engineering perspective.

  18. Topics in expert system design methodologies and tools

    CERN Document Server

    Tasso, C


    Expert Systems are so far the most promising achievement of artificial intelligence research. Decision making, planning, design, control, supervision and diagnosis are areas where they are showing great potential. However, the establishment of expert system technology and its actual industrial impact are still limited by the lack of a sound, general and reliable design and construction methodology.This book has a dual purpose: to offer concrete guidelines and tools to the designers of expert systems, and to promote basic and applied research on methodologies and tools. It is a coordinated coll

  19. Development of a Spacecraft Materials Selector Expert System (United States)

    Pippin, G.; Kauffman, W. (Technical Monitor)


    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.

  20. Tuning Expert Systems for Cost-Sensitive Decisions

    Directory of Open Access Journals (Sweden)

    Atish P. Sinha


    Full Text Available There is currently a growing body of research examining the effects of the fusion of domain knowledge and data mining. This paper examines the impact of such fusion in a novel way by applying validation techniques and training data to enhance the performance of knowledge-based expert systems. We present an algorithm for tuning an expert system to minimize the expected misclassification cost. The algorithm employs data reserved for training data mining models to determine the decision cutoff of the expert system, in terms of the certainty factor of a prediction, for optimal performance. We evaluate the proposed algorithm and find that tuning the expert system results in significantly lower costs. Our approach could be extended to enhance the performance of any intelligent or knowledge system that makes cost-sensitive business decisions.

  1. Parallelism in backward-chained expert systems - Experimental results (United States)

    Hall, Lawrence O.


    There are many applications which may be done by an expert system in real time, if the system is capable of real-time response. The LISP and PROLOG-based expert systems have typically been too slow for real-time response. This has led to an effort to use other languages, the development of fast pattern matching techniques and other methods of improving the speed of expert systems. Another approach to developing faster expert systems is to make use of the emerging parallel processing computer technology. A further use for parallelism is to allow reasonable response time for large knowledge bases. The size of knowledge bases may become as large as 20,000 chunks of knowledge (and more) in the near future in medical and space applications. This paper describes the use of parallel processing in the EMYCIN backward chained rule-based model.

  2. Expert system for controlling plant growth in a contained environment (United States)

    May, George A. (Inventor); Lanoue, Mark Allen (Inventor); Bethel, Matthew (Inventor); Ryan, Robert E. (Inventor)


    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".

  3. Expert performance on a virtual reality simulation system. (United States)

    Wierinck, Els R; Puttemans, Veerle; Swinnen, Stephan P; van Steenberghe, Daniel


    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. Multiple neural network approaches to clinical expert systems (United States)

    Stubbs, Derek F.


    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

  5. Problematic Aspects of the Use of Expert Systems in Law

    Directory of Open Access Journals (Sweden)

    Marius Kalinauskas


    Full Text Available Summary. The usage of expert systems in law brings many problematic questions. Complexity and intricacy of law, combined with limited possibilities of information technologies makes it difficult to create flawlessly working expert systems. In this article the author analyses problematic aspects related to expert system usage in law. Comparisons of various research are made according to analysis of scientific articles. The author analyses practical difficulties of legal norm representation, creation of expert knowledge ontology, expert systems liability issues. Legal responsibility of expert system developers, users, and owners are also covered in this paper. Creation of legal ontologies is a complicated process because of the nature of the subject itself and the complexity and quantity of knowledge which must be represented in order to have fully functional legal expert system. Legal information basically consists of legal norms, doctrine, precedents and expert knowledge. All of these areas have specific representation issues, but the most difficult part is to make ontology and representation of expert knowledge. Different experts may have distinct points of view in some similar cases. Human decisions are made not only by applying certain rules to the problem decision pattern. Providence, analytical skills and critical thinking is required in legal professional work. Human reasoning and decision-making is not only based on symbolic values, it also consists of intermediate symbolic assumptions. So the question is: is it possible to give a clear structure to something which has no permanent state? The other problem which is analyzed in this article is artificial reasoning methods, which are basically different forms of pattern recognition with some specific methods applied to them. The second part of the paper analyses the liability of expert systems. Nowadays expert systems can’t be legally responsible for their decisions. They lack

  6. Problematic Aspects of the Use of Expert Systems in Law

    Directory of Open Access Journals (Sweden)

    Marius Kalinauskas


    Full Text Available The usage of expert systems in law brings many problematic questions. Complexity and intricacy of law, combined with limited possibilities of information technologies makes it difficult to create flawlessly working expert systems. In this article the author analyses problematic aspects related to expert system usage in law. Comparisons of various research are made according to analysis of scientific articles. The author analyses practical difficulties of legal norm representation, creation of expert knowledge ontology, expert systems liability issues. Legal responsibility of expert system developers, users, and owners are also covered in this paper. Creation of legal ontologies is a complicated process because of the nature of the subject itself and the complexity and quantity of knowledge which must be represented in order to have fully functional legal expert system. Legal information basically consists of legal norms, doctrine, precedents and expert knowledge. All of these areas have specific representation issues, but the most difficult part is to make ontology and representation of expert knowledge. Different experts may have distinct points of view in some similar cases. Human decisions are made not only by applying certain rules to the problem decision pattern. Providence, analytical skills and critical thinking is required in legal professional work. Human reasoning and decision-making is not only based on symbolic values, it also consists of intermediate symbolic assumptions. So the question is: is it possible to give a clear structure to something which has no permanent state? The other problem which is analyzed in this article is artificial reasoning methods, which are basically different forms of pattern recognition with some specific methods applied to them. The second part of the paper analyses the liability of expert systems. Nowadays expert systems can’t be legally responsible for their decisions. They lack intellectual

  7. Expert system for determining welding condition for a pressure vessel

    National Research Council Canada - National Science Library

    Fukuda, Shuichi; Morita, Hideki; Yamauchi, Yoshihisa; Nagasawa, Isao; Tsuji, Shuichi


    This paper describes the outline of the expert system for producing a Welding Procedure Specification for a pressure vessel which was developed with the grant from the Ministry of International Trade...

  8. An Expert Systems Approach for PR Campaigns Research. (United States)

    Cameron, Glen T.; Curtin, Patricia A.


    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)

  9. Implementation of expert system in Prolog for infant seizures (United States)

    Gaweł, M.; Tataj, E.; Dunin-Wąsowicz, D.


    Expert Systems are found to be very promising as an important advisory tool. They can be useful in different situations where human expert is not available and decision should be undertaken quickly. Expert systems can also be useful in medicine to help doctors or even non-trained personnel (when the doctor is not available). These systems are important in clinical practice and could help in rapid finding of etiology and treatment. To fulfill such requirement in this contribution, we discuss an implementation of expert system, which is written in Prolog language. Since this language has its syntactical limitations, we have developed a general architecture of a shell type, to overcome these difficulties. Next, we have demonstrated its practical utility, by applying the knowledge taken from medical practice.

  10. Building Expert Medical Prognostic Systems Using Voronoi Diagram

    Directory of Open Access Journals (Sweden)

    Maria A. Ivanchuk


    Full Text Available The method of building expert systems for medical prediction of severity in patients is purposed. The method is based on using Voronoi diagrams. Examples of using the method are described in the paper.

  11. Systematic methods for knowledge acquisition and expert system development (United States)

    Belkin, Brenda L.; Stengel, Robert F.


    Nine cooperating rule-based systems, collectively called AUTOCREW, were designed to automate functions and decisions associated with a combat aircraft's subsystem. The organization of tasks within each system is described; performance metrics were developed to evaluate the workload of each rule base, and to assess the cooperation between the rule-bases. Each AUTOCREW subsystem is composed of several expert systems that perform specific tasks. AUTOCREW's NAVIGATOR was analyzed in detail to understand the difficulties involved in designing the system and to identify tools and methodologies that ease development. The NAVIGATOR determines optimal navigation strategies from a set of available sensors. A Navigation Sensor Management (NSM) expert system was systematically designed from Kalman filter covariance data; four ground-based, a satellite-based, and two on-board INS-aiding sensors were modeled and simulated to aid an INS. The NSM Expert was developed using the Analysis of Variance (ANOVA) and the ID3 algorithm. Navigation strategy selection is based on an RSS position error decision metric, which is computed from the covariance data. Results show that the NSM Expert predicts position error correctly between 45 and 100 percent of the time for a specified navaid configuration and aircraft trajectory. The NSM Expert adapts to new situations, and provides reasonable estimates of hybrid performance. The systematic nature of the ANOVA/ID3 method makes it broadly applicable to expert system design when experimental or simulation data is available.

  12. YUCSA: A CLIPS expert database system to monitor academic performance (United States)

    Toptsis, Anestis A.; Ho, Frankie; Leindekar, Milton; Foon, Debra Low; Carbonaro, Mike


    The York University CLIPS Student Administrator (YUCSA), an expert database system implemented in C Language Integrated Processing System (CLIPS), for monitoring the academic performance of undergraduate students at York University, is discussed. The expert system component in the system has already been implemented for two major departments, and it is under testing and enhancement for more departments. Also, more elaborate user interfaces are under development. We describe the design and implementation of the system, problems encountered, and immediate future plans. The system has excellent maintainability and it is very efficient, taking less than one minute to complete an assessment of one student.

  13. A brief history and technical review of the expert system research (United States)

    Tan, Haocheng


    The expert system is a computer system that emulates the decision-making ability of a human expert, which aims to solve complex problems by reasoning knowledge. It is an important branch of artificial intelligence. In this paper, firstly, we briefly introduce the development and basic structure of the expert system. Then, from the perspective of the enabling technology, we classify the current expert systems and elaborate four expert systems: The Rule-Based Expert System, the Framework-Based Expert System, the Fuzzy Logic-Based Expert System and the Expert System Based on Neural Network.

  14. Expert System for UNIX System Reliability and Availability Enhancement (United States)

    Xu, Catherine Q.


    Highly reliable and available systems are critical to the airline industry. However, most off-the-shelf computer operating systems and hardware do not have built-in fault tolerant mechanisms, the UNIX workstation is one example. In this research effort, we have developed a rule-based Expert System (ES) to monitor, command, and control a UNIX workstation system with hot-standby redundancy. The ES on each workstation acts as an on-line system administrator to diagnose, report, correct, and prevent certain types of hardware and software failures. If a primary station is approaching failure, the ES coordinates the switch-over to a hot-standby secondary workstation. The goal is to discover and solve certain fatal problems early enough to prevent complete system failure from occurring and therefore to enhance system reliability and availability. Test results show that the ES can diagnose all targeted faulty scenarios and take desired actions in a consistent manner regardless of the sequence of the faults. The ES can perform designated system administration tasks about ten times faster than an experienced human operator. Compared with a single workstation system, our hot-standby redundancy system downtime is predicted to be reduced by more than 50 percent by using the ES to command and control the system.


    Directory of Open Access Journals (Sweden)



    Full Text Available Financial rating and ranking firms often use linguistic instead of numerical values. When input data are mostly qualitative and are based on subjective knowledge of experts, the Fuzzy Set Theory provides a solid mathematical model to represent and handle these data. The aim of this study is developing a fuzzy expert model to evaluate the performance of the pension funds by using their risk and return values. The method is used for evaluating the performance of the randomly selected of twenty seven Turkish pension funds. The obtained results proved that the fuzzy expert system is appropriate and consistent for performance evaluation.

  16. Expert system for skin problem consultation in Thai traditional medicine. (United States)

    Nopparatkiat, Pornchai; na Nagara, Byaporn; Chansa-ngavej, Chuvej


    This paper aimed to demonstrate the research and development of a rule-based expert system for skin problem consulting in the areas of acne, melasma, freckle, wrinkle, and uneven skin tone, with recommended treatments from Thai traditional medicine knowledge. The tool selected for developing the expert system is a software program written in the PHP language. MySQL database is used to work together with PHP for building database of the expert system. The system is web-based and can be reached from anywhere with Internet access. The developed expert system gave recommendations on the skin problem treatment with Thai herbal recipes and Thai herbal cosmetics based on 416 rules derived from primary and secondary sources. The system had been tested by 50 users consisting of dermatologists, Thai traditional medicine doctors, and general users. The developed system was considered good for learning and consultation. The present work showed how such a scattered body of traditional knowledge as Thai traditional medicine and herbal recipes could be collected, organised and made accessible to users and interested parties. The expert system developed herein should contribute in a meaningful way towards preserving the knowledge and helping promote the use of Thai traditional medicine as a practical alternative medicine for the treatment of illnesses.

  17. Applying expert systems technology to communications software validation (United States)

    Davis, Margaret J.

    This case study describes the use of an expert-systems approach to automation of systems and integration testing for validation of complex, real-time communications software, such as used onboard the Airborne Warning and Control Systems (AWACS) aircraft. The approach permits a state-based rather than path- or branch-based testing style. States can be matched with high-level system requirements to give a measure of test coverage. The benefits and weaknesses realized from using the Boeing-built embeddable expert systems shell with a custom relational database interface to construct an automated software verification tool supporting this approach are discussed, along with a brief summary of the utility of applying expert systems technology in this software engineering area. Qualitative measurements of the productivity increase from a prototype demonstration are also included.

  18. An expert system for natural language processing (United States)

    Hennessy, John F.


    A solution to the natural language processing problem that uses a rule based system, written in OPS5, to replace the traditional parsing method is proposed. The advantage to using a rule based system are explored. Specifically, the extensibility of a rule based solution is discussed as well as the value of maintaining rules that function independently. Finally, the power of using semantics to supplement the syntactic analysis of a sentence is considered.

  19. ESPRE: Expert System for Platelet Request Evaluation


    Sielaff, B H; Scott, E.; Connelly, D. P.


    ESPRE, a knowledge-based system designed to facilitate good platelet transfusion practices, is under development at the University of Minnesota Hospital and Clinic. This microcomputer based decision support system aids Blood Bank personnel in evaluating requests for platelet transfusions. Because of a direct link with the laboratory computers, most patient data need not be entered manually, but rather can be accessed directly. ESPRE uses a combination of frames and rules during its inference ...


    Directory of Open Access Journals (Sweden)



    Full Text Available The paper describes the development of a prototype web-based expert knowledge system that can be used to maintain flexible pavement within a tropical region. This prototype system provides the advantages of using existing web-based expert system technology. Currently, deterioration of asphalt pavement layers is one of the biggest problems in Malaysia and requires maintenance to ensure that the roads remain open and able to guarantee the regularity, punctuality, and safety of all transport services. According to this process, the knowledge collection that has acquired and the date concerning to domain expert system of the development web-based system was launched with knowledge representation IF and THEN rules and coded by PHP programming. The web pages that support the user interface are created using a framework consisting of HTML, CSS, and J-Query. The prototype web-based expert system uses the knowledge of a pavement maintenance expert, or a specialist in pavement problem remediation, to emulate a portion of their professional reasoning abilities, which it can then use to assist with the maintenance of existing roads and enhance the efficiency and accuracy of the professional engineers tasked with the assessment of all available remedies. Thus, the system increases the performance level of the engineers in analysing, discerning and customising the information that will assist decision makers throughout the project, so the probability that the right decision and treatment are implemented at the right time is increased.

  1. CRN5EXP: Expert system for statistical quality control (United States)

    Hentea, Mariana


    The purpose of the Expert System CRN5EXP is to assist in checking the quality of the coils at two very important mills: Hot Rolling and Cold Rolling in a steel plant. The system interprets the statistical quality control charts, diagnoses and predicts the quality of the steel. Measurements of process control variables are recorded in a database and sample statistics such as the mean and the range are computed and plotted on a control chart. The chart is analyzed through patterns using the C Language Integrated Production System (CLIPS) and a forward chaining technique to reach a conclusion about the causes of defects and to take management measures for the improvement of the quality control techniques. The Expert System combines the certainty factors associated with the process control variables to predict the quality of the steel. The paper presents the approach to extract data from the database, the reason to combine certainty factors, the architecture and the use of the Expert System. However, the interpretation of control charts patterns requires the human expert's knowledge and lends to Expert Systems rules.

  2. Hypercube Expert System Shell - Applying Production Parallelism. (United States)


    the most efficient algorithms for Smuat cli ,et d(ev,, lopd . 1,, ,achieve this efficiency, Rete exploits two features common to most production vs ent... risk . heavily defended targets. A contract wa awarded to Texas Instruments Iicor- porated (TI) in September 19S.5 to develop a system architecture ard

  3. Knowledge acquisition for expert systems using statistical methods (United States)

    Belkin, Brenda L.; Stengel, Robert F.


    A common problem in the design of expert systems is the definition of rules from data obtained in system operation or simulation. A statistical method for generating rule bases from numerical data, motivated by an example based on aircraft navigation with multiple sensors is presented. 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 of a Navigation Sensor Management (NSM) Expert System from Kalman Filter covariance data is described. The development 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 algorithm identifies the relationships between the problem parameters using probabilistic knowledge extracted from a simulation example set.

  4. Global Grid Telemedicine System: Expert Consult Manager (United States)


    REPB REPAIR-BLOOD-VESSEL-OTHER-THAN-FOR- FISTULA -WTH-OR-WITHOUT-PATCH-ANGIOPLASTY 0 2 D% REPA REPAIR- ARTERIOVENOUS - FISTULA 2 5 40% PERI PERICAROIUM...that the conceptual model of 5.1.1 together with the domain knowledge of 5.1.3 represented as in 5.1.2 is capable of functioning as an effective and...critical for system acceptance and functionality . The primary risk of our strategy is that what we learn from a narrow application domain may not

  5. Expert Maintenance Advisor Development for Navy Shipboard Systems (United States)


    Society - Swedish Al Society SFrench Al Association - United Nations Industrial Development - IEEE Technical Committee on Organization ES Applications...Estoril (EDEN) Chair: Xavier Alaman, Instituto de Ingenieria del Conocimiento, SPAIN "A Model of Handling Uncertainty in Expert Systems," 01 Zhao...for Supervisory Process Control," Xavier Alaman, Instituto de Ingenieria del Conocimiento, SPAIN - (L) INTEGRATED KNOWLEDGE BASED SYSTEMS IN POWER

  6. Approche conceptuelle pour un systeme expert distine a la ...

    African Journals Online (AJOL)

    In this article we present an approach of the design and realization of an expert system intended for the autonomous wind-solar systems design with batteries of storage. This approach uses the formalisms of representation of knowledge which is a hybridization of the rules of production and structured objects. To this end, a ...

  7. A local area computer network expert system framework (United States)

    Dominy, Robert


    Over the past years an expert system called LANES designed to detect and isolate faults in the Goddard-wide Hybrid Local Area Computer Network (LACN) was developed. As a result, the need for developing a more generic LACN fault isolation expert system has become apparent. An object oriented approach was explored to create a set of generic classes, objects, rules, and methods that would be necessary to meet this need. The object classes provide a convenient mechanism for separating high level information from low level network specific information. This approach yeilds a framework which can be applied to different network configurations and be easily expanded to meet new needs.

  8. Advances in metal forming expert system for metal forming

    CERN Document Server

    Hingole, Rahulkumar Shivajirao


    This comprehensive book offers a clear account of the theory and applications of advanced metal forming. It provides a detailed discussion of specific forming processes, such as deep drawing, rolling, bending extrusion and stamping. The author highlights recent developments of metal forming technologies and explains sound, new and powerful expert system techniques for solving advanced engineering problems in metal forming. In addition, the basics of expert systems, their importance and applications to metal forming processes, computer-aided analysis of metalworking processes, formability analysis, mathematical modeling and case studies of individual processes are presented.

  9. A Novel Web-based Human Advisor Fuzzy Expert System

    Directory of Open Access Journals (Sweden)

    Vahid Rafe


    Full Text Available The applications of the Internet-based technologies and the concepts of fuzzy expert systems (FES have created new methods for sharing and distributing knowledge. However, there has been a general lack of investigation in the area of web-based fuzzy expert systems. In this paper, the issues associated with the design, development, and use of web-based applications from a standpoint of the benefits and challenges of development and utilization are investigated. The original theory and concepts in conventional FES are reviewed and a knowledge engineering framework for developing such systems is revised. For a human advisor to have a satisfying performance, expertise is a must. In addition, some of advisory rules are subject to change because of domain knowledge update. The human requests may have linguistic or crisp forms and a conventional expert system (ES is not able to overcome the fuzziness in the problem nature. In this research, a Web-based fuzzy expert system for Common Human Advisor (FES-CHA is developed and implemented to be used as a student advisor at the department‘s web portal. The system is implemented by using Microsoft Visual Studio .NET 2010, MVC and Microsoft SQL Server 2012.

  10. An Integrated Expert Controller for the Oven Temperature Control System

    Directory of Open Access Journals (Sweden)

    Nagabhushana KATTE


    Full Text Available Paper presents a methodology for design of integrated fuzzy logic based an expert controller and its implementation for a real time oven temperature control system. Integrated expert controller (IEC is composed by cascading fuzzy logic controller with improved PID controller. Wherein, fuzzy controller evaluates the supplemental control actions and PID evaluates the final control actions. Temperature measurement of the oven with a precision of 16-bits is achieved through Pt100, instrumentation amplifier, and A/D converter and fuzzy plus PID computed control actions are given to the actuator via D/A converter (16-bits and PWM generator. Paper experimentally demonstrated the performance of IEC for oven temperature control application. The performance indexes of the system are presented in a comparative fashion with the conventional PID and expert controllers. Control algorithms are developed using C language.

  11. ANAPPRES: An expert system for interference well-test analysis

    Energy Technology Data Exchange (ETDEWEB)

    Arellano, V.M.; Iglesias, E.R.; Arellano, J.; Schwarzblat, M.


    We present ANAPPRES V1.0, the first version of a computerized expert system capable of analyzing constant- and variable-flowrate interference tests, in which there is one active well and an arbitrary number of observation wells, in liquid-saturated homogeneous reservoirs. ANAPPRES successfully couples mathematical models, optimization techniques, heuristic knowledge and computerized graphics, a combination not often found in published expert systems. Its main advantages are that it is user friendly, requires essentially no experience on the part of the analyst, eliminates subjectivity associated with earlier techniques of analysis, can handle complex cases and large data sets, completes the analysis of even the most complex cases (including plotting the results) in one run, and is significantly faster than a human expert.

  12. Diagnosing battery behavior with an expert system in PROLOG (United States)

    Kirkwood, N.; Weeks, D. J.


    Power for the Hubble Space Telescope comes from a system of 20 solar panel assemblies (SPAs) and six nickel-cadmium batteries. The HST battery system is simulated by the HST Electrical Power System (EPS) testbed at Marshall Space Flight Center. The Nickel Cadmium Battery Expert System (NICBES) is being used to diagnose faults of the testbed system, evaluate battery status and provide decision support for the engineer. Extensive telemetry of system operating conditions is relayed through a DEC LSI-11. A BASIC program running on a PC monitors the flow of data, figures cell divergence and recharge ratio, and stores these values, along with other selected data, for use by the expert system.

  13. A Novel Web-based Human Advisor Fuzzy Expert System

    Directory of Open Access Journals (Sweden)

    Vahid Rafe


    Full Text Available The applications of the Internet-based technologies and the concepts of fuzzy expert systems (FES have creatednew methods for sharing and distributing knowledge. However, there has been a general lack of investigation in thearea of web-based fuzzy expert systems. In this paper, the issues associated with the design, development, and useof web-based applications from a standpoint of the benefits and challenges of development and utilization areinvestigated. The original theory and concepts in conventional FES are reviewed and a knowledge engineeringframework for developing such systems is revised. For a human advisor to have a satisfying performance, expertise isa must. In addition, some of advisory rules are subject to change because of domain knowledge update. The humanrequests may have linguistic or crisp forms and a conventional expert system (ES is not able to overcome thefuzziness in the problem nature. In this research, a Web-based fuzzy expert system for Common Human Advisor(FES-CHA is developed and implemented to be used as a student advisor at the department's web portal. Thesystem is implemented by using Microsoft Visual Studio .NET 2010, MVC and Microsoft SQL Server 2012.

  14. A method for knowledge acquisition in diagnostic expert system. (United States)

    Li, Weishi; Li, Aiping; Li, Shudong


    Knowledge acquisition plays very important role in the diagnostic expert system. It usually takes a long period to acquire disease knowledge using the traditional methods. To solve this problem, this paper describes relations between rough set theory and rule-based description of diseases, which corresponds to the process of knowledge acquisition of diagnostic expert system. Then the exclusive rules, inclusive rules and disease images of disease are built based on the PDES diagnosis model, and the definition of probability rule is put forward. At last, the paper presents the rule-based automated induction reasoning method, including exhaustive search, post-processing procedure, estimation for statistic test and the bootstrap and resampling methods. We also introduce automated induction of the rule-based description, which is used in our diseases diagnostic expert system. The experimental results not only show that rough set theory gives a very suitable framework to represent processes of uncertain knowledge extraction, but also that this method induces diagnostic rules correctly. This method can act as the assistant tool for development of diagnosis expert system, and has an extensive application in intelligent information systems.

  15. An Expert System for Searching in Full-Text (United States)


    systems are the STAIRS system from IBM and the WESTLAW database of legal Gauch 3 information distributed by the West Publishing Company. Other, more recent...passages in large full-text databases . Our expert system automatically reformulates contextual Boolean queries to improve search results and presents...retrieved passages in decreasing order of estimated relevance. It differs from other intelligent database functions in two ways: it works with

  16. Expert system isssues in automated, autonomous space vehicle rendezvous (United States)

    Goodwin, Mary Ann; Bochsler, Daniel C.


    The problems involved in automated autonomous rendezvous are briefly reviewed, and the Rendezvous Expert (RENEX) expert system is discussed with reference to its goals, approach used, and knowledge structure and contents. RENEX has been developed to support streamlining operations for the Space Shuttle and Space Station program and to aid definition of mission requirements for the autonomous portions of rendezvous for the Mars Surface Sample Return and Comet Nucleus Sample return unmanned missions. The experience with REMEX to date and recommendations for further development are presented.

  17. An expert system for the calculation of sample size. (United States)

    Ebell, M H; Neale, A V; Hodgkins, B J


    Calculation of sample size is a useful technique for researchers who are designing a study, and for clinicians who wish to interpret research findings. The elements that must be specified to calculate the sample size include alpha, beta, Type I and Type II errors, 1- and 2-tail tests, confidence intervals, and confidence levels. A computer software program written by one of the authors (MHE), Sample Size Expert, facilitates sample size calculations. The program uses an expert system to help inexperienced users calculate sample sizes for analytic and descriptive studies. The software is available at no cost from the author or electronically via several on-line information services.

  18. An expert system as applied to bridges : software development phase. (United States)


    This report describes the results of the third of a four-part study dealing with the use of a computerized expert system to assist bridge engineers in their structures management program. In this phase of the study, software (called DOBES) was writte...

  19. Profile of the first generation of marketing expert systems

    NARCIS (Netherlands)

    B. Wierenga (Berend)


    textabstractThe emergence of expert systems in marketing can be seen as the next step in the development of the use of computers in marketing management, where starting out with an almost exclusively mathematical model building/optimization approach, gradually more judgmental elements from

  20. [Expert systems in medicine: possible uses in anesthesia]. (United States)

    Petersen, J; Kochs, E; Kochs, H D


    The euphoric assumption that powerful computers fed with sophisticated software programmes may serve as a substitute for human knowledge and decision making has been replaced by a more realistic concept of how computers may help in collecting data and their interpretation on the basis of human knowledge and experience. The computer is now used as a dedicated tool to support man in overtaking cumbersome and monotonous processes and tedious calculations. Running 24 hours a day, a specific feature of the computer is that depending on unequivocal software programmes it does neither forget or alter commands and information. Computer programmes imitating human thinking and information processing are called expert or knowledge based systems. These are especially useful when multiple possible combinations of data make a given task very complex. This review presents several systems used in different medical disciplines to describe fundamental ideas, different problem-solving methods, techniques and possible working fields including anaesthesia. It is made clear why computers have found widespread use in all administrative areas. In contrast, no system comparable in potency has been developed for use in clinical medicine in spite of 25 years of research in expert systems. This review starts with a definition of expert knowledge and the appropriate transformation of this knowledge to the computer. In addition, a general survey about the structure of expert systems and a state of the art in some current problem solving methods is given. Additional aspects and restrictions including technical, psychological and legal problems which seem to be unimportant from the outside but are essential for the development of expert systems are presented.

  1. Expert System Control of Plant Growth in an Enclosed Space (United States)

    May, George; Lanoue, Mark; Bathel, Matthew; Ryan, Robert E.


    The Expert System is an enclosed, controlled environment for growing plants, which incorporates a computerized, knowledge-based software program that is designed to capture the knowledge, experience, and problem-solving skills of one or more human experts in a particular discipline. The Expert System is trained to analyze crop/plant status, to monitor the condition of the plants and the environment, and to adjust operational parameters to optimize the plant-growth process. This system is intended to provide a way to remotely control plant growth with little or no human intervention. More specifically, the term control implies an autonomous method for detecting plant states such as health (biomass) or stress and then for recommending and implementing cultivation and/or remediation to optimize plant growth and to minimize consumption of energy and nutrients. Because of difficulties associated with delivering energy and nutrients remotely, a key feature of this Expert System is its ability to minimize this effort and to achieve optimum growth while taking into account the diverse range of environmental considerations that exist in an enclosed environment. The plant-growth environment for the Expert System could be made from a variety of structures, including a greenhouse, an underground cavern, or another enclosed chamber. Imaging equipment positioned within or around the chamber provides spatially distributed crop/plant-growth information. Sensors mounted in the chamber provide data and information pertaining to environmental conditions that could affect plant development. Lamps in the growth environment structure supply illumination, and other additional equipment in the chamber supplies essential nutrients and chemicals.

  2. Multicriterial Methods used in Expert Systems for Business Decision Making

    Directory of Open Access Journals (Sweden)

    Cornelia MUNTEAN


    Full Text Available Many organizations are in front of most competitive economic environments, where, in order to survive, they must reduce costs all the time and adopt the most intelligent business strategies. In most decision making activities the manager has to decide which variant is the most advantageous, taking into account a multitude of criterions. Expert systems use the expert's knowledge and problem solving skills in a particular subject area throughout an organization, and can propose the optimal variant to be chosen. In this paper we have outlined the role of multicriterial methods in programming expert systems to decide in favor of the most eligible variant between a multitude of possibilities. We also made a case study and designed the prototype of an expert system for choosing the most profitable offer among many, in the prenegotiation stage, for a company, in order to organize the negotiation processes accor-dingly. In this respect, we tried to highlight the usefulness of multicriterial mathematical me-thods in three negotiation processes of a Romanian negotiation team with foreign negotiation teams for the acquisition of an equipment.

  3. Expert Systems, Job Aids, and the Future of Instructional Technology; and Decision Tables, the Poor Person's Answer to "Expert Systems." (United States)

    Harmon, Paul; Pipe, Peter


    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)

  4. A study on the development and application of expert system for nuclear power plant

    Energy Technology Data Exchange (ETDEWEB)

    Woo, Hee Gon; Kim, Seong Bok [Korea Electric Power Corp. (KEPCO), Taejon (Korea, Republic of). Research Center


    It is a final report of the research that is a study on the development and application of expert system for nuclear power plants and development of the schemes computing environments and user interfaces for the expert system, which is a systematic and efficient development of expert system for nuclear power plants in the future. This report is consisted of -Development trends of expert system for nuclear power plants. -Classification of expert system applications for nuclear power plants. -Systematic and efficient developments schemes of expert system for nuclear power plants, and -Suitable computing environments and user interfaces for the expert systems. (author). 113 refs., 85 figs.

  5. Expert system for online surveillance of nuclear reactor coolant pumps

    Energy Technology Data Exchange (ETDEWEB)

    Gross, K.C.; Singer, R.M.; Humenik, K.E.


    This report describes an expert system for online surveillance of nuclear reactor coolant pumps. This system provides a means for early detection of pump or sensor degradation. Degradation is determined through the use of a statistical analysis technique, sequential probability ratio test, applied to information from several sensors which are responsive to differing physical parameters. The results of sequential testing of the data provide the operator with an early warning of possible sensor or pump failure.

  6. Expert Systems: How Far Can They Go? Part One


    Davis, Randall


    A panel session at the 1989 International Joint Conference on artificial intelligence in Los Angeles dealt with the subject of knowledge-based systems; the session was entitled "Expert Systems: How Far Can They Go?" The panelists included Randall Davis (Massachusetts Institute of Technology); Stuart Dreyfus (University of California at Berkeley); Brian Smith (Xerox Palo Alto Research Center); and Terry Winograd (Stanford University), chairman. The article begins with Winograd's original charg...

  7. Expert Systems: How Far Can They Go? Part Two


    Davis, Randall


    A panel session at the 1989 International Joint Conference on Artificial Intelligence in Los Angeles dealt with the subject of knowledge-based systems; the session was entitled "Expert Systems: How Far Can They Go?" The panelists included Randall Davis (Massachusetts Institute of Technology); Stuart Dreyfus (University of California at Berkeley); Brian Smith (Xerox Palo Alto Research Center); and Terry Winograd (Stanford University), chairman. Part 1 of this article, which appeared in the Spr...

  8. Alternative Theories of Inference in Expert Systems for Image Analysis. (United States)


    the literal "transfer" of information, or rules, from expert to system. Much of the relevant knowledge is (as yet) unverbalized and only implicit in...In part, this can be attributed to the pragmatic urgency of get- * ting systems up and running. In part, it may be due to a bias against numerical... pragmatic aspect, on the other. Thus, under semantics, we indicate the desirability of an explicit be- havioral specification for the requi ed inputs. For

  9. An expert systems application to space base data processing (United States)

    Babb, Stephen M.


    The advent of space vehicles with their increased data requirements are reflected in the complexity of future telemetry systems. Space based operations with its immense operating costs will shift the burden of data processing and routine analysis from the space station to the Orbital Transfer Vehicle (OTV). A research and development project is described which addresses the real time onboard data processing tasks associated with a space based vehicle, specifically focusing on an implementation of an expert system.

  10. An expert system for diagnosing environmentally induced spacecraft anomalies (United States)

    Rolincik, Mark; Lauriente, Michael; Koons, Harry C.; Gorney, David


    A new rule-based, machine independent analytical tool was designed for diagnosing spacecraft anomalies using an expert system. Expert systems provide an effective method for saving knowledge, allow computers to sift through large amounts of data pinpointing significant parts, and most importantly, use heuristics in addition to algorithms, which allow approximate reasoning and inference and the ability to attack problems not rigidly defined. The knowledge base consists of over two-hundred (200) rules and provides links to historical and environmental databases. The environmental causes considered are bulk charging, single event upsets (SEU), surface charging, and total radiation dose. The system's driver translates forward chaining rules into a backward chaining sequence, prompting the user for information pertinent to the causes considered. The use of heuristics frees the user from searching through large amounts of irrelevant information and allows the user to input partial information (varying degrees of confidence in an answer) or 'unknown' to any question. The modularity of the expert system allows for easy updates and modifications. It not only provides scientists with needed risk analysis and confidence not found in algorithmic programs, but is also an effective learning tool, and the window implementation makes it very easy to use. The system currently runs on a Micro VAX II at Goddard Space Flight Center (GSFC). The inference engine used is NASA's C Language Integrated Production System (CLIPS).

  11. Diagnosa Gangguan Perkembangan Anak Dengan Metode Fuzzy Expert System

    Directory of Open Access Journals (Sweden)

    Diki Arisandi


    Full Text Available AbstrakAnak-anak dibawah umur 10 tahun merupakan fase yang sangat perlu diperhatikan perkembangannya oleh orang tua dan dibantu oleh pakar, apakah mengalami gangguan perkembangan atau tidak. Gangguan perkembangan anak dapat didiagnosis dari perilaku yang diperlihatkan oleh anak dengan cara observasi oleh seorang pakar psikologi anak. Hasil diagnosa dari observasi yang dilakukan beberapa pakar bisa saja berbeda. Hal ini membuat para orang tua menjadi kebingungan terhadap tindak lanjut yang harus dilakukan kepada anak mereka. Untuk mempermudah mendiagnosis gangguan perkembangan pada anak perlu adanya sebuah sistem pakar berbasis Fuzzy. Metode Fuzzy yang diterapkan didasari atas rentang logika berpikir manusia seperti dingin dan panas, tinggi dan rendah, dan lainnya.  Diharapkan dengan adanya sistem pakar berbasis fuzzy ini, hasil diagnosa dapat menghasilkan solusi seperti nalar manusia dari sehingga didapatkan solusi untuk tindak lanjut pada gangguan anak. Kata kunci: Diagnosa, Fuzzy, Fungsi Keanggotaan, Gangguan perkembangan, Sistem Pakar. AbstractChildren under 10 years is a critical phase of their developmental and should be noticed by parents and assisted by experts, whether experiencing developmental disruption or not. Children developmental disruption can be diagnosed from behaviors shown by children by observation by a psychologist. Diagnosis results from observations made by some experts may be different. This makes the parents become confused about the follow-up to be done to their children. A Fuzzy-based expert system is needed to overcome the children developmental disruption. The applied Fuzzy method is based on the logical range of human thinking such as cold and hot, high and low, and others. With the fuzzy-based expert system, the diagnostic results can produce solutions such as human reasoning from that obtained a solution to following up on children disruption. Keywords: Diagnosis, Fuzzy, Membership Function, Developmental

  12. Adaptive control with an expert system based supervisory level. Thesis (United States)

    Sullivan, Gerald A.


    Adaptive control is presently one of the methods available which may be used to control plants with poorly modelled dynamics or time varying dynamics. Although many variations of adaptive controllers exist, a common characteristic of all adaptive control schemes, is that input/output measurements from the plant are used to adjust a control law in an on-line fashion. Ideally the adjustment mechanism of the adaptive controller is able to learn enough about the dynamics of the plant from input/output measurements to effectively control the plant. In practice, problems such as measurement noise, controller saturation, and incorrect model order, to name a few, may prevent proper adjustment of the controller and poor performance or instability result. In this work we set out to avoid the inadequacies of procedurally implemented safety nets, by introducing a two level control scheme in which an expert system based 'supervisor' at the upper level provides all the safety net functions for an adaptive controller at the lower level. The expert system is based on a shell called IPEX, (Interactive Process EXpert), that we developed specifically for the diagnosis and treatment of dynamic systems. Some of the more important functions that the IPEX system provides are: (1) temporal reasoning; (2) planning of diagnostic activities; and (3) interactive diagnosis. Also, because knowledge and control logic are separate, the incorporation of new diagnostic and treatment knowledge is relatively simple. We note that the flexibility available in the system to express diagnostic and treatment knowledge, allows much greater functionality than could ever be reasonably expected from procedural implementations of safety nets. The remainder of this chapter is divided into three sections. In section 1.1 we give a detailed review of the literature in the area of supervisory systems for adaptive controllers. In particular, we describe the evolution of safety nets from simple ad hoc techniques, up

  13. On the use of computerised decision aids: an investigation into the expert system as persuasive communicator


    Dijkstra, Jacob Jan


    The results of this study show that an expert system is a persuasive message source and that users tend to follow the advice of an expert system without critically examining it. Accordingly, users will probably not notice when an expert system gives incorrect advice. These facts comprise a serious problem, because expert systems can make mistakes and have been developed on the implicit assumption that the user will judge the applicability of the expert system's advice. The Elaboration Likelih...

  14. Howard University Energy Expert Systems Institute Summer Program (EESI) (United States)

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


    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.

  15. Research on an expert system for TRIZ Method applying

    Directory of Open Access Journals (Sweden)

    Gheorghe Burz


    Full Text Available TRIZ method is a powerful creative technique, used in the most diverse and competitive fields of engineering, and, among others, in value analysis / engineering. Psychological creativity tools, including brainstorming and related methods, have the disadvantage that they have unpredictable and unrepeatable results. Unlike these TRIZ provides repeatability, predictability, reliability and algorithmic approach. One of the fundamental concepts of TRIZ is that contradiction which must be removed from a technical system. It was found that there are 39 standard technical features that could lead to contradictions in the technical system analysis and 40 inventive principles that can resolve generated conflicts creatively. For this a method was developed to correlate the conflicts with inventive principles known as the “contradictions matrix”. On the other hand, a problem in a particular area, it is a good candidate for expert system technology if it meets several criteria. One of the most important activities that precede construction of an expert system is knowledge representation, among the most popular models of knowledge representation being decision tables. The contradictions matrix can be transformed in decision tables with standard structure. An expert system for TRIZ method should, based on the 39 parameters that may in conflict, choose the inventive principles from contradictions matrix and then for each inventive principle chosen provide examples and afferent details and other related items resulting from experience.

  16. Expert System Diagnosis Dental Disease Using Certainty Factor Method

    Directory of Open Access Journals (Sweden)

    Whisnu Ulinnuha Setiabudi


    Full Text Available Technological development is growing rapidly among with the increasing of human needs especially in mobile technology where the technology that often be used is android. The existence of this android facilitates the user in access of information. This android can be used for healthy needs, for example is detecting dental disease. One of the branches of computer science that can help society in detecting dental disease is expert system. In this research, making expert system to diagnosis dental disease by using certainty factor method. Dental disease diagnosis application can diagnose the patient based on griping of the patient about dental disease so it can be obtained diseases possibility of the patient itself. This application is an expert system application that operates on android platform. Furthermore, in the measurement accuracy of the system test performed by 20 patients, there were 19 cases of corresponding and 1 cases that do not fit. So, from system testing performed by 20 patients resulted in a 95% accuracy rate. 

  17. Expert Systems in Medicine: Academic Illusion or Real Power?

    Directory of Open Access Journals (Sweden)

    KS Metaxiotis


    Full Text Available From the very earliest moments in the modern history of the computer, scientists have dreamed of creating advanced systems that would simulate human thinking and reasoning. Of all the modern technological quests, research to create artificially intelligent computer systems has been one of the most ambitious and fascinating. Although attempts were made more than thirty years ago to develop and apply such systems to the medical sciences, the field languished for decades. In this context, this paper aims to share thoughts about and assessments of the important role of expert systems in medicine and address their future as well as the trends that are foreseen in this area.

  18. A fuzzy expert system for diabetes decision support application. (United States)

    Lee, Chang-Shing; Wang, Mei-Hui


    An increasing number of decision support systems based on domain knowledge are adopted to diagnose medical conditions such as diabetes and heart disease. It is widely pointed that the classical ontologies cannot sufficiently handle imprecise and vague knowledge for some real world applications, but fuzzy ontology can effectively resolve data and knowledge problems with uncertainty. This paper presents a novel fuzzy expert system for diabetes decision support application. A five-layer fuzzy ontology, including a fuzzy knowledge layer, fuzzy group relation layer, fuzzy group domain layer, fuzzy personal relation layer, and fuzzy personal domain layer, is developed in the fuzzy expert system to describe knowledge with uncertainty. By applying the novel fuzzy ontology to the diabetes domain, the structure of the fuzzy diabetes ontology (FDO) is defined to model the diabetes knowledge. Additionally, a semantic decision support agent (SDSA), including a knowledge construction mechanism, fuzzy ontology generating mechanism, and semantic fuzzy decision making mechanism, is also developed. The knowledge construction mechanism constructs the fuzzy concepts and relations based on the structure of the FDO. The instances of the FDO are generated by the fuzzy ontology generating mechanism. Finally, based on the FDO and the fuzzy ontology, the semantic fuzzy decision making mechanism simulates the semantic description of medical staff for diabetes-related application. Importantly, the proposed fuzzy expert system can work effectively for diabetes decision support application.

  19. An expert display system and nuclear power plant control rooms (United States)

    Beltracchi, L.


    General topics for consideration when designing expert display systems and nuclear power plant control room displays are summarized. A system is proposed in which the display of segments (a combined series of graphic primitives or a reusable collection of graphic primitives and primitives attributes stored in memory) controls a cathode-ray-tube's screen to form an image of plant operations. The image consists of an icon of: (1) the process (heat engine cycle), (2) plant control systems, and (3) safety systems. A set of data-driven, forward-chaining computer-stored rules control the display segments. As plant operation changes, measured plant data are processed through the rules, and the results control the deletion and addition of segments to the display format. The icon contains information needed by control rooms operators to monitor plant operations. One example of an expert display is illustrated for the operator's task of monitoring leakage from a safety valve in a steam line of a boiling water reactor (BWR). In another example, the use of an expert display to monitor plant operations during pre-trip, trip, and post-trip operations is discussed as a universal display.

  20. User's guide for the thermal analyst's help desk expert system (United States)

    Ormsby, Rachel A.


    A guide for users of the Thermal Analyst's Help Desk is provided. Help Desk is an expert system that runs on a DOS based personal computer and operates within the EXSYS expert system shell. Help Desk is an analysis tool designed to provide users having various degrees of experience with the capability to determine first approximations of thermal capacity for spacecraft and instruments. The five analyses supported in Help Desk are: surface area required for a radiating surface, equilibrium temperature of a surface, enclosure temperature and heat loads for a defined position in orbit, enclosure temperature and heat loads over a complete orbit, and selection of appropriate surface properties. The two geometries supported by Help Desk are a single flat plate and a rectangular box enclosure.

  1. Developments in REDES: The Rocket Engine Design Expert System (United States)

    Davidian, Kenneth O.


    The Rocket Engine Design Expert System (REDES) was developed at NASA-Lewis to collect, automate, and perpetuate the existing expertise of performing a comprehensive rocket engine analysis and design. Currently, REDES uses the rigorous JANNAF methodology to analyze the performance of the thrust chamber and perform computational studies of liquid rocket engine problems. The following computer codes were included in REDES: a gas properties program named GASP; a nozzle design program named RAO; a regenerative cooling channel performance evaluation code named RTE; and the JANNAF standard liquid rocket engine performance prediction code TDK (including performance evaluation modules ODE, ODK, TDE, TDK, and BLM). Computational analyses are being conducted by REDES to provide solutions to liquid rocket engine thrust chamber problems. REDES was built in the Knowledge Engineering Environment (KEE) expert system shell and runs on a Sun 4/110 computer.

  2. A CLIPS expert system for clinical flow cytometry data analysis (United States)

    Salzman, G. C.; Duque, R. E.; Braylan, R. C.; Stewart, C. C.


    An expert system is being developed using CLIPS to assist clinicians in the analysis of multivariate flow cytometry data from cancer patients. Cluster analysis is used to find subpopulations representing various cell types in multiple datasets each consisting of four to five measurements on each of 5000 cells. CLIPS facts are derived from results of the clustering. CLIPS rules are based on the expertise of Drs. Stewart, Duque, and Braylan. The rules incorporate certainty factors based on case histories.

  3. Artificial intelligence, expert systems, computer vision, and natural language processing (United States)

    Gevarter, W. B.


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

  4. Hematology Expert System (HES) For Tonsillectomy/Adenoidectomy Patients (United States)

    Pizzi, Nicolino J.; Kapoor, Sandhya; Gerrard, Jon M.


    The purpose of this expert system is to assess a predisposition to bleeding in a patient undergoing a tonsillectomy and/or adenoidectomy as may occur with patients who have certain blood conditions such as hemophilia and von Willebrand's disease. This goal is achieved by establishing a correlation between the patients' responses to a medical questionnaire and the relative quantities of blood lost during the operation.

  5. The nature and evaluation of commercial expert system building tools (United States)

    Gevarter, William B.


    This memorandum reviews the factors that constitute an Expert System Building Tool (ESBT) and evaluates current tools in terms of these factors. Evaluation of these tools is based on their structure and their alternative forms of knowledge representation, inference mechanisms and developer/end-user interfaces. Next, functional capabilities, such as diagnosis and design, are related to alternative forms of mechanization. The characteristics and capabilities of existing commercial tools are then reviewed in terms of these criteria.

  6. Using Expert Systems in Evaluation of the State of High Voltage Machine Insulation Systems

    Directory of Open Access Journals (Sweden)

    K. Záliš


    Full Text Available Expert systems are used for evaluating the actual state and future behavior of insulating systems of high voltage electrical machines and equipment. Several rule-based expert systems have been developed in cooperation with top diagnostic workplaces in the Czech Republic for this purpose. The IZOLEX expert system evaluates diagnostic measurement data from commonly used offline diagnostic methods for the diagnostic of high voltage insulation of rotating machines, non-rotating machines and insulating oils. The CVEX expert system evaluates the discharge activity on high voltage electrical machines and equipment by means of an off-line measurement. The CVEXON expert system is for evaluating the discharge activity by on-line measurement, and the ALTONEX expert system is the expert system for on-line monitoring of rotating machines. These developed expert systems are also used for educating students (in bachelor, master and post-graduate studies and in courses which are organized for practicing engineers and technicians and for specialists in the electrical power engineering branch. A complex project has recently been set up to evaluate the measurement of partial discharges. Two parallel expert systems for evaluating partial dischatge activity on high voltage electrical machines will work at the same time in this complex evaluating system.

  7. An expert system for PWR core operation management

    Energy Technology Data Exchange (ETDEWEB)

    Ida, Toshio; Masuda, Masahiro; Nishioka, Hiromasa


    Planning for restartup after planned or unplanned reactor shutdown and load-follow operations is an important task in the core operation management of pressurized water reactors (PWRs). These planning problems have been solved by planning experts using their expertise and the computational prediction of core behavior. Therefore, the quality of the plan and the time consumed in the planning depend heavily on the skillfulness of the planning experts. A knowledge engineering approach has been recently considered as a promising means to solve such complicated planning problems. Many knowledge-based systems have been developed so far, and some of them have already been applied because of their effectiveness. The expert system REPLEX has been developed to aid core management engineers in making a successful plan for the restartup or the load-follow operation of PWRs within a shorter time. It can maintain planning tasks at a high-quality level independent of the skillfulness of core management engineers and enhance the efficiency of management. REPLEX has an explanation function that helps user understanding of plans. It could be a useful took, therefore, for the training of core management engineers.

  8. Rule groupings: An approach towards verification of expert systems (United States)

    Mehrotra, Mala


    Knowledge-based expert systems are playing an increasingly important role in NASA space and aircraft systems. However, many of NASA's software applications are life- or mission-critical and knowledge-based systems do not lend themselves to the traditional verification and validation techniques for highly reliable software. Rule-based systems lack the control abstractions found in procedural languages. Hence, it is difficult to verify or maintain such systems. Our goal is to automatically structure a rule-based system into a set of rule-groups having a well-defined interface to other rule-groups. Once a rule base is decomposed into such 'firewalled' units, studying the interactions between rules would become more tractable. Verification-aid tools can then be developed to test the behavior of each such rule-group. Furthermore, the interactions between rule-groups can be studied in a manner similar to integration testing. Such efforts will go a long way towards increasing our confidence in the expert-system software. Our research efforts address the feasibility of automating the identification of rule groups, in order to decompose the rule base into a number of meaningful units.

  9. Artificial intelligence and expert systems in-flight software testing (United States)

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


    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.

  10. Expert-view creation system for data base design

    Energy Technology Data Exchange (ETDEWEB)

    Storey, V.C.


    The process of generating user views during logical data base design is formalized and expressed as a set of rules that comprise the knowledge base of an expert system. This system, called the View Creation System, engages the user in a dialogue to determine information requirements. These requirements are then translated into a set of Fourth Normal Form relations representing a view. The data model on which the system is based is the Entity-Relationship Model. Using this model, the system elicits entities, attributes, and relationships while trying to detect and rectify inconsistencies and ambiguities in the user's input. With the aid of the user, functional dependencies are isolated and resolved before the final set of relations is produced.

  11. Processes in construction of failure management expert systems from device design information (United States)

    Malin, Jane T.; Lance, Nick


    This paper analyzes the tasks and problem solving methods used by an engineer in constructing a failure management expert system from design information about the device to te diagnosed. An expert test engineer developed a trouble-shooting expert system based on device design information and experience with similar devices, rather than on specific expert knowledge gained from operating the device or troubleshooting its failures. The construction of the expert system was intensively observed and analyzed. This paper characterizes the knowledge, tasks, methods, and design decisions involved in constructing this type of expert system, and makes recommendations concerning tools for aiding and automating construction of such systems.

  12. Development research of expert system for diagnosis of landslide

    Energy Technology Data Exchange (ETDEWEB)

    Yoshikawa, Toru; Soeda, Yoshio; Nakamura, Hirohisa (Kansai Electric Power Co. Inc., Osaka (Japan))


    Measures against landslides are based upon a judgment to be made by combined application of professional knowledge of the scientific fields such as topography and geology, etc. and Kansai Electric Power Co. tried to construct a technical support system for preliminary diagnosis of landslide with which field engineers can easily utilize expert knowledge and to which artificial intelligence (AI) is applied. This system is to diagnose preliminarily the existence of such a landslide-prone area which is likely to hamper the project concerned at its early stage and after examination, those considered to be appropriate for the purpose were selected from among the artificial intelligence tools already developed. And as the knowledge base, knowledge was arranged in order with regard to the common features of landslide-prone areas, classification of landslide spots, landslide-prone topography and confusing topography, and procedures as well as remarks to be taken in reading the landslide topography, and was transformed as rule in order to input as the knowledge base into a computer. The system used the aerial photography interpretation theory as the base for its expert knowledge base and the materials necessary therefore were confined to easily obtainable aerial photographs and topographical maps. The system was prepared with a general purpose personal computer. 4 figs., 1 tab.

  13. The Specification of an Expert System for Building Bylaws Compliance

    Directory of Open Access Journals (Sweden)

    Sania Bhatti


    Full Text Available An Expert System is a computer program that simulates the human intelligence and behaviour in specific and limited domains. It is used to solve problems with tricks, shortcuts and heuristics i.e. rules of thumb. Checking a Plan (Map to verify its compliance with building bylaws is a complex task mainly due to various rules and the exceptions to those rules. Humans are prone to make errors in such situations. Due to the problems faced by Building Control Department, HDA ( Hyderabad Development Authority there is a strong need to develop a computerized system. In this research we have developed a prototype named as ESBBC (Expert System for Building Bylaws Compliance for HDA that can help in their building plan checking system. The proposed solution is merging three frameworks, i.e. Java an OOP (Object Oriented Programming language, Prolog- a rule based language and MS Access- for database. The solution is fulfilling the three main requirements of the HDA, i.e. Determination of whether a particular plan is in compliance with predefined building bylaws or not. (2 Offering search facility. (3 Maintaining records of plans which are entered for compliance checking. We have checked plans of 20 properties according to HDA building regulations using ESBBC and presented their results. The results show that ESBBC has capability to identify errors made by humans.

  14. A CLIPS expert system for maximizing alfalfa (Medicago Sativa L.) production (United States)

    Engel, B. A.; Jones, D. D.; Rhykerd, R. L.; Rhykerd, L. M.; Rhykerd, C. L., Jr.; Rhykerd, C. L.


    An alfalfa management expert system originally developed by Purdue University agricultural scientists on the PC Plus expert system shell from Texas Instrument has been updated and successfully converted to CLIPS (C Language Integrated Production System). This reduces the cost and legal restrictions associated with making the expert system available to agribusiness industries, extension personnel and farm managers and operators. The expert system includes recommendations concerning soil drainage, liming, P and K fertilization, weed control, variety selection and seeding rate including pure live seeds.

  15. Revamping Grooving Process for Sustainability using Fuzzy Expert System

    Directory of Open Access Journals (Sweden)

    Iqba Asif


    Full Text Available The article presents an application of a fuzzy expert system for renovating a metal cutting process to cope with the sustainability requirements. The work seeks a sustainable balance between energy consumption, productivity and tool damage. Cylindrical grooving experiments were performed to generate data related to quantification of the effects of material hardness, cutting speed, width of cut and feed rate on the aforementioned sustainability measures. A fuzzy knowledge-base was developed that suggests the most suitable adjustments of the controlled variables that would lead to achievement of various combinations of the objectives.

  16. Artificial intelligence and expert systems in the steel industry (United States)

    Carayannis, Gregory


    This article was prepared in an effort to determine the state of the art with respect to the use of artificial intelligence and expert system technologies within the steel industry. A number of important developments have been reported and most of them resulted in significant savings. Mathematical modeling is quite important both for understanding and for controlling a process. However, most steelmaking operations are extremely complex and cannot be described mathematically. They are, however, adequately controlled by human operators on the basis of their knowledge and expertise. Because of this, artificial intelligence is an ideal technology for the automation of many steelmaking-related processes.

  17. Expert-System Development in Soar: A Tutorial (United States)


    Task Description This description was derived from a formal description of a larger set of problems in me shipment scheduling domain ( Filman , 1988a...The formal description is for the problem used as an example in a recent expert systems paper ( Filman , 1988b). 2.1. Description The Big Giant Trucking...m trips ’tizu-sp~ េ) (operator 4.) doe4-task) (oal 461) ’operator <*I>6) 57 References Filman , R. E. (1988). The Big Giant Trucking Problem

  18. Time-based air traffic management using expert systems (United States)

    Tobias, L.; Scoggins, J. L.


    A prototype expert system was developed for the time scheduling of aircraft into the terminal area. The three functions of the air traffic control schedule advisor are as follows: first, for each new arrival, it develops an admissible flight plan for that aircraft. Second, as the aircraft progresses through the terminal area, it monitors deviations from the flight plan and provides advisories to return the aircraft to its assigned schedule. Third, if major disruptions such as missed approaches occur, it develops a revised plan. The advisor is operational on a Symbolics 3600, and is programed in MRS (a logic programming language), Lisp, and FORTRAN.

  19. PERSON-Personalized Expert Recommendation System for Optimized Nutrition. (United States)

    Chen, Chih-Han; Karvela, Maria; Sohbati, Mohammadreza; Shinawatra, Thaksin; Toumazou, Christofer


    The rise of personalized diets is due to the emergence of nutrigenetics and genetic tests services. However, the recommendation system is far from mature to provide personalized food suggestion to consumers for daily usage. The main barrier of connecting genetic information to personalized diets is the complexity of data and the scalability of the applied systems. Aiming to cross such barriers and provide direct applications, a personalized expert recommendation system for optimized nutrition is introduced in this paper, which performs direct to consumer personalized grocery product filtering and recommendation. Deep learning neural network model is applied to achieve automatic product categorization. The ability of scaling with unknown new data is achieved through the generalized representation of word embedding. Furthermore, the categorized products are filtered with a model based on individual genetic data with associated phenotypic information and a case study with databases from three different sources is carried out to confirm the system.

  20. The network management expert system prototype for Sun Workstations (United States)

    Leigh, Albert


    Networking has become one of the fastest growing areas in the computer industry. The emergence of distributed workstations make networking more popular because they need to have connectivity between themselves as well as with other computer systems to share information and system resources. Making the networks more efficient and expandable by selecting network services and devices that fit to one's need is vital to achieve reliability and fast throughput. Networks are dynamically changing and growing at a rate that outpaces the available human resources. Therefore, there is a need to multiply the expertise rapidly rather than employing more network managers. In addition, setting up and maintaining networks by following the manuals can be tedious and cumbersome even for an experienced network manager. This prototype expert system was developed to experiment on Sun Workstations to assist system and network managers in selecting and configurating network services.

  1. Expert systems in power substation operation and control

    Energy Technology Data Exchange (ETDEWEB)

    Ribeiro, Guilherme Moutinho; Lambert-Torres, Germano; Silva, Alexandre P. Alves da [Escola Federal de Engenharia de Itajuba, MG (Brazil)


    With digital technology being increasingly adopted in power substations (SE), perspectives are created for integration of supervision, control and protection systems in addition to making its process automation feasible. Once a SE is digitalized, the systems which previously were implemented physically will be able to be implemented by means of computer programs (software), allowing the expansion of its scope of operation. Studies and research performed at the international level have pointed to the utilization of Expert Systems (ES) as a more suitable alternative for representation and solution of the operation and control problems, especially those which do not have an established theory, which are provided with diagnosis characteristics and that associate themselves with fuzzy data and information. (author) 4 refs., 3 figs.

  2. Fuzzy expert system in the prediction of neonatal resuscitation

    Directory of Open Access Journals (Sweden)

    M.A.M. Reis


    Full Text Available In view of the importance of anticipating the occurrence of critical situations in medicine, we propose the use of a fuzzy expert system to predict the need for advanced neonatal resuscitation efforts in the delivery room. This system relates the maternal medical, obstetric and neonatal characteristics to the clinical conditions of the newborn, providing a risk measurement of need of advanced neonatal resuscitation measures. It is structured as a fuzzy composition developed on the basis of the subjective perception of danger of nine neonatologists facing 61 antenatal and intrapartum clinical situations which provide a degree of association with the risk of occurrence of perinatal asphyxia. The resulting relational matrix describes the association between clinical factors and risk of perinatal asphyxia. Analyzing the inputs of the presence or absence of all 61 clinical factors, the system returns the rate of risk of perinatal asphyxia as output. A prospectively collected series of 304 cases of perinatal care was analyzed to ascertain system performance. The fuzzy expert system presented a sensitivity of 76.5% and specificity of 94.8% in the identification of the need for advanced neonatal resuscitation measures, considering a cut-off value of 5 on a scale ranging from 0 to 10. The area under the receiver operating characteristic curve was 0.93. The identification of risk situations plays an important role in the planning of health care. These preliminary results encourage us to develop further studies and to refine this model, which is intended to implement an auxiliary system able to help health care staff to make decisions in perinatal care.

  3. Reference manual for the Thermal Analyst's Help Desk Expert System (United States)

    Ormsby, Rachel A.


    This document provides technical information and programming guidance for the maintenance and future development of the Thermal Analyst's Help Desk. Help Desk is an expert system that operates within the EXSYSTM expert system shell, and is used to determine first approximations of thermal capacity for spacecraft and instruments. The five analyses supported in Help Desk are: (1) surface area required for a radiating surface, (2) equilibrium temperature of a surface, (3) enclosure temperature and heat loads for a defined position in orbit, (4) enclosure temperature and heat loads over a complete orbit and, (5) selection of appropriate surface properties. The two geometries supported by Help Desk are a single flat plate and a rectangular box enclosure. The technical information includes the mathematical approach and analytical derivations used in the analyses such as: radiation heat balance, view factor calculation, and orbit determination with coordinate transformation. The programming guide for developers describes techniques for enhancement of Help Desk. Examples are provided showing the addition of new features, user interface development and enhancement, and external program interfaces.

  4. A heuristic expert system for forest fire guidance in Greece. (United States)

    Iliadis, Lazaros S; Papastavrou, Anastasios K; Lefakis, Panagiotis D


    Forests and forestlands are common inheritance for all Greeks and a piece of the national wealth that must be handed over to the next generations in the best possible condition. After 1974, Greece faces a severe forest fire problem and forest fire forecasting is the process that will enable the Greek ministry of Agriculture to reduce the destruction. This paper describes the basic design principles of an Expert System that performs forest fire forecasting (for the following fire season) and classification of the prefectures of Greece into forest fire risk zones. The Expert system handles uncertainty and uses heuristics in order to produce scenarios based on the presence or absence of various qualitative factors. The initial research focused on the construction of a mathematical model which attempted to describe the annual number of forest fires and burnt area in Greece based on historical data. However this has proven to be impossible using regression analysis and time series. A closer analysis of the fire data revealed that two qualitative factors dramatically affect the number of forest fires and the hectares of burnt areas annually. The first is political stability and national elections and the other is drought cycles. Heuristics were constructed that use political stability and drought cycles, to provide forest fire guidance. Fuzzy logic was applied to produce a fuzzy expected interval for each prefecture of Greece. A fuzzy expected interval is a narrow interval of values that best describes the situation in the country or a part of the country for a certain time period. A successful classification of the prefectures of Greece in forest fire risk zones was done by the system, by comparing the fuzzy expected intervals to each other. The system was tested for the years 1994 and 1995. The testing has clearly shown that the system can predict accurately, the number of forest fires for each prefecture for the following year. The average accuracy was as high as 85

  5. Development experience with a simple expert system demonstrator for pilot emergency procedures (United States)

    Vannorman, M.; Mackall, D. A.


    Expert system techniques, a major application area of artificial intelligence (AI), are examined in the development of pilot associate to handle aircraft emergency procedures. The term pilot associate is used to describe research involving expert systems that can assist the pilot in the cockpit. The development of expert systems for the electrical system and flight control system emergency procedures are discussed. A simple, high-level expert system provides the means to choose which knowledge domain is needed. The expert systems were developed on a low-cost, FORTH-based package, using a personal computer.

  6. On the use of computerised decision aids : an investigation into the expert system as persuasive communicator

    NARCIS (Netherlands)

    Dijkstra, Jacob Jan


    The results of this study show that an expert system is a persuasive message source and that users tend to follow the advice of an expert system without critically examining it. Accordingly, users will probably not notice when an expert system gives incorrect advice. These facts comprise a serious

  7. Operation and Structure of an Artificial Intelligence Expert Consultative System for Reading and Learning. (United States)

    Balajthy, Ernest


    The article examines decision-making expert systems and discusses their implications for diagnosis and prescription of reading difficulties. A detailed description of how a reading diagnostic expert system might operate to aid classroom teachers is followed by a discussion of advantages and limitations of expert systems for educational use.…

  8. Expert operator preferences in remote manipulator control systems

    Energy Technology Data Exchange (ETDEWEB)

    Sundstrom, E. [Human Machine Interfaces, Inc., Knoxville, TN (United States); Draper, J.V. [Oak Ridge National Lab., TN (United States); Fausz, A.; Woods, H. [Univ. of Tennessee, Knoxville, TN (United States)


    This report describes a survey of expert remote manipulator operators designed to identify features of control systems related to operator efficiency and comfort. It provides information for designing the control center for the Single-Shell Tank Waste Retrieval Manipulator System (TWRMS) Test Bed, described in a separate report. Research questions concerned preferred modes of control, optimum work sessions, sources of operator fatigue, importance of control system design features, and desired changes in control rooms. Participants comprised four expert remote manipulator operators at Oak Ridge National Laboratory, who individually have from 9 to 20 years of experience using teleoperators. The operators had all used rate and position control, and all preferred bilateral (force-reflecting) position control. They reported spending an average of 2.75 h in control of a teleoperator system during a typical shift. All were accustomed to working in a crew of two and alternating control and support roles in 2-h rotations in an 8-h shift. Operators reported that fatigue in using remote manipulator systems came mainly from watching TV monitors and making repetitive motions. Three of four experienced symptoms, including headaches and sore eyes, wrists, and back. Of 17 features of control rooms rated on importance, highest ratings went to comfort and support provided by the operator chair, location of controls, location of video monitors, video image clarity, types of controls, and control modes. When asked what they wanted to change, operators said work stations designed for comfort; simpler, lighter hand-controls; separate controls for each camera; better placement of remote camera; color monitors; and control room layouts that support crew interaction. Results of this small survey reinforced the importance of ergonomic factors in remote manipulation.

  9. An Expert System for Monitoring the Daily Production Process in Aviary Systems for Laying Hens

    NARCIS (Netherlands)

    Lokhorst, C.; Lamaker, E.J.J.


    An expert system (ES) for monitoring aberrations related to feed consumption, ambient temperature and disease detection was developed in order to support day-to-day management on aviary farms for laying hens. Knowledge of five experts was stored in the knowledge base, which consisted of aberration

  10. Understanding ethics guidelines using an internet-based expert system. (United States)

    Shankar, G; Simmons, A


    National and international guidelines outlining ethical conduct in research involving humans and animals have evolved into large and complex documents making the process of gaining ethics approval a complicated task for researchers in the area. Researchers, in particular those who are relatively new to the ethics approval process, can struggle to understand the parts of an ethics guideline that apply to their research and the nature of their ethical obligations to trial participants. With the scope of medical research likely to continue to expand in the future, it is clear that ethics guidelines will only increase in complexity and number. This paper describes one possible solution to the the use of an internet-based expert system to intelligently and interactively distribute the information stored in ethics guidelines to individual researchers. This paper also details how one such system was designed and tested with respect to Australian medical research ethics guidelines.

  11. An Expert Fitness Diagnosis System Based on Elastic Cloud Computing

    Directory of Open Access Journals (Sweden)

    Kevin C. Tseng


    Full Text Available This paper presents an expert diagnosis system based on cloud computing. It classifies a user’s fitness level based on supervised machine learning techniques. This system is able to learn and make customized diagnoses according to the user’s physiological data, such as age, gender, and body mass index (BMI. In addition, an elastic algorithm based on Poisson distribution is presented to allocate computation resources dynamically. It predicts the required resources in the future according to the exponential moving average of past observations. The experimental results show that Naïve Bayes is the best classifier with the highest accuracy (90.8% and that the elastic algorithm is able to capture tightly the trend of requests generated from the Internet and thus assign corresponding computation resources to ensure the quality of service.

  12. An expert fitness diagnosis system based on elastic cloud computing. (United States)

    Tseng, Kevin C; Wu, Chia-Chuan


    This paper presents an expert diagnosis system based on cloud computing. It classifies a user's fitness level based on supervised machine learning techniques. This system is able to learn and make customized diagnoses according to the user's physiological data, such as age, gender, and body mass index (BMI). In addition, an elastic algorithm based on Poisson distribution is presented to allocate computation resources dynamically. It predicts the required resources in the future according to the exponential moving average of past observations. The experimental results show that Naïve Bayes is the best classifier with the highest accuracy (90.8%) and that the elastic algorithm is able to capture tightly the trend of requests generated from the Internet and thus assign corresponding computation resources to ensure the quality of service.

  13. Expert systems for adaptive control of large space structures (United States)

    Gartrell, Charles F.


    It is expected that space systems for the future will evolve to structures of unprecedented size with associated extreme control requirements. A method is necessary that is sufficiently general to initiate stable control of a vehicle and subsequently learn the true nature of the structure. It is suggested that a suitable constructed expert system (ES) would be capable of learning by appending observations to a knowledge base. To verify that an ES can control a large space structure, numerical simulations of a simple structure subjected to periodic vibrations and the performance of a classical controllers were performed. The ES was then exercised to show its ability to truthfully mimic nominal control and to demonstrate its superiority to the classical controller, given sensor failures. An ES generating software package, The Intelligent Machine Model, was employed. It uses the pattern matching technique. Results of this program are discussed.

  14. SWAN: An expert system with natural language interface for tactical air capability assessment (United States)

    Simmons, Robert M.


    SWAN is an expert system and natural language interface for assessing the war fighting capability of Air Force units in Europe. The expert system is an object oriented knowledge based simulation with an alternate worlds facility for performing what-if excursions. Responses from the system take the form of generated text, tables, or graphs. The natural language interface is an expert system in its own right, with a knowledge base and rules which understand how to access external databases, models, or expert systems. The distinguishing feature of the Air Force expert system is its use of meta-knowledge to generate explanations in the frame and procedure based environment.

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

    Energy Technology Data Exchange (ETDEWEB)

    Argo, P.; Loveland, R.; Anderson, K. [and others


    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.

  16. Expert Systems for Real-Time Volcano Monitoring (United States)

    Cassisi, C.; Cannavo, F.; Montalto, P.; Motta, P.; Schembra, G.; Aliotta, M. A.; Cannata, A.; Patanè, D.; Prestifilippo, M.


    In the last decade, the capability to monitor and quickly respond to remote detection of volcanic activity has been greatly improved through use of advanced techniques and semi-automatic software applications installed in most of the 24h control rooms devoted to volcanic surveillance. Ability to monitor volcanoes is being advanced by new technology, such as broad-band seismology, microphone networks mainly recording in the infrasonic frequency band, satellite observations of ground deformation, high quality video surveillance systems, also in infrared band, improved sensors for volcanic gas measurements, and advances in computer power and speed, leading to improvements in data transmission, data analysis and modeling techniques. One of the most critical point in the real-time monitoring chain is the evaluation of the volcano state from all the measurements. At the present, most of this task is delegated to one or more human experts in volcanology. Unfortunately, the volcano state assessment becomes harder if we observe that, due to the coupling of highly non-linear and complex volcanic dynamic processes, the measurable effects can show a rich range of different behaviors. Moreover, due to intrinsic uncertainties and possible failures in some recorded data, precise state assessment is usually not achievable. Hence, the volcano state needs to be expressed in probabilistic terms that take account of uncertainties. In the framework of the project PON SIGMA (Integrated Cloud-Sensor System for Advanced Multirisk Management) work, we have developed an expert system approach to estimate the ongoing volcano state from all the available measurements and with minimal human interaction. The approach is based on hidden markov model and deals with uncertainties and probabilities. We tested the proposed approach on data coming from the Mt. Etna (Italy) continuous monitoring networks for the period 2011-2013. Results show that this approach can be a valuable tool to aid the

  17. Expert systems for automated maintenance of a Mars oxygen production system (United States)

    Huang, Jen-Kuang; Ho, Ming-Tsang; Ash, Robert L.


    Application of expert system concepts to a breadboard Mars oxygen processor unit have been studied and tested. The research was directed toward developing the methodology required to enable autonomous operation and control of these simple chemical processors at Mars. Failure detection and isolation was the key area of concern, and schemes using forward chaining, backward chaining, knowledge-based expert systems, and rule-based expert systems were examined. Tests and simulations were conducted that investigated self-health checkout, emergency shutdown, and fault detection, in addition to normal control activities. A dynamic system model was developed using the Bond-Graph technique. The dynamic model agreed well with tests involving sudden reductions in throughput. However, nonlinear effects were observed during tests that incorporated step function increases in flow variables. Computer simulations and experiments have demonstrated the feasibility of expert systems utilizing rule-based diagnosis and decision-making algorithms.

  18. Generation of test tasks in the expert-training systems

    Directory of Open Access Journals (Sweden)

    Игорь Леонидович Братчиков


    Full Text Available The article describes methods of generating test tasks that use the knowledge bases of academic disciplines that are formed on the basis of a knowledge production model as well as the apparatus of formal grammars. We present two experimental expert-training systems Formula Tutor and Teoretik, focused mainly on studying the exact sciences. In the Formula Tutor system generation of tasks carried out in two stages: first, by applying the production rules, and then, if necessary, using the outputs in context-free formal grammar. To give tasks to the student familiar forms the apparatus of templates is used. The analysis of student answers is performed by comparing them with the correct answers. If the answer is a mathematical formula it is converted то standard form before comparison. In the Teoretik system production model is also applied. Unlike the first system production rules are used to fix the dependencies of terms of educational discipline. For example, in the course Geometry Ray Dot, Geometric figure shows that to understand the definition of angle the student should know the definition of the ray, dot and geometric figure. The tasks in the system formed by mixing pieces of definitions and provide selectively-constructed answers. Examples in the paper illustrate advantages of described methods.

  19. Advanced Launch System (ALS) Space Transportation Expert System Study (United States)


    Systems • atu,, NCS Imuguq: C 9 Pqu i’-tih𔃺. Apollo fnded Apolloby: JONE86 mador Jones, Michael B. and Richard F. Rashid title: Mach and Matchmaker...STAL77 ,.&or, Stallman ,R. SussmanG. title. Forward Reasoning and Dependency-Directed Backtracking in a System for Computer-Aided Circuit Analysis 6-32

  20. SSME component assembly and life management expert system (United States)

    Ali, M.; Dietz, W. E.; Ferber, H. J.


    The space shuttle utilizes several rocket engine systems, all of which must function with a high degree of reliability for successful mission completion. The space shuttle main engine (SSME) is by far the most complex of the rocket engine systems and is designed to be reusable. The reusability of spacecraft systems introduces many problems related to testing, reliability, and logistics. Components must be assembled from parts inventories in a manner which will most effectively utilize the available parts. Assembly must be scheduled to efficiently utilize available assembly benches while still maintaining flight schedules. Assembled components must be assigned to as many contiguous flights as possible, to minimize component changes. Each component must undergo a rigorous testing program prior to flight. In addition, testing and assembly of flight engines and components must be done in conjunction with the assembly and testing of developmental engines and components. The development, testing, manufacture, and flight assignments of the engine fleet involves the satisfaction of many logistical and operational requirements, subject to many constraints. The purpose of the SSME Component Assembly and Life Management Expert System (CALMES) is to assist the engine assembly and scheduling process, and to insure that these activities utilize available resources as efficiently as possible.

  1. Considerations in development of expert systems for real-time space applications (United States)

    Murugesan, S.


    Over the years, demand on space systems has increased tremendously and this trend will continue for the near future. Enhanced capabilities of space systems, however, can only be met with increased complexity and sophistication of onboard and ground systems. Artificial Intelligence and expert system techniques have great potential in space applications. Expert systems could facilitate autonomous decision making, improve in-orbit fault diagnosis and repair, enhance performance and reduce reliance on ground support. However, real-time expert systems, unlike conventional off-line consultative systems, have to satisfy certain special stringent requirements before they could be used for onboard space applications. Challenging and interesting new environments are faced while developing expert system space applications. This paper discusses the special characteristics, requirements and typical life cycle issues for onboard expert systems. Further, it also describes considerations in design, development, and implementation which are particularly important to real-time expert systems for space applications.

  2. An Integrated Expert System for Linear Scheduling Heavy Earthmoving Operations

    Directory of Open Access Journals (Sweden)

    Nizar Markiz


    Full Text Available Heavy earthmoving operations are repetitive in nature and vulnerable to time-related restraints and uncertainties. Therefore, at the conceptual stage, scheduling these operations can take a linear form, known as linear schedule or line of balance (LOB. In such type of work, generating a preliminary line of balance for variable sequencing of activities is crucial. In this paper, an integrated expert system for determining preliminary linear schedules for heavy earthmoving operations at the conceptual stage is presented. The proposed system incorporates numerous factors that influence the analysis of earthmoving operations, which include geological and topographical parameters used to determine productivity rates at the conceptual stage. Also, the proposed system is capable of automatically generating a line of balance based on a stochastic scheduling technique via the metaheuristic simulated annealing intelligent approach to incorporate randomness and uncertainties in performing the associated activities. A parametric analysis is conducted in order to quantify the system’s degree of accuracy. An actual case project is then utilized to illustrate its numerical capabilities. Generating accurate linear schedules for heavy earthmoving operations at the conceptual design stage is anticipated to be of major significance to infrastructure project stakeholders, engineers, and construction managers by detecting schedule’s conflicts early in order to enhance overall operational logistics.

  3. Space power system scheduling using an expert system (United States)

    Bahrami, K. A.; Biefeld, E.; Costello, L.; Klein, J. W.


    A most pressing problem in space exploration is timely spacecraft power system sequence generation, which requires the scheduling of a set of loads given a set of resource constraints. This is particularly important after an anomaly or failure. This paper discusses the power scheduling problem and how the software program, Plan-It, can be used as a consultant for scheduling power system activities. Modeling of power activities, human interface, and two of the many strategies used by Plan-It are discussed. Preliminary results showing the development of a conflict-free sequence from an initial sequence with conflicts is presented. It shows that a 4-day schedule can be generated in a matter of a few minutes, which provides sufficient time in many cases to aid the crew in the replanning of loads and generation use following a failure or anomaly.


    Directory of Open Access Journals (Sweden)

    Оleh Shevchuk


    Full Text Available The paper reports on the design of a multi-component architecture of distributed hybrid expert training system that can be used for the study of knowledge base of both internal and external expert systems and artificial intelligence systems that are distributed on Internet servers and other computer networks. Expert training system is based on three groups of basic principles: cybernetic, reflecting experience of previous research of systems of artificial intelligence, expert training systems; pedagogical, determining the principles, on which pedagogical design and use of expert training systems are based; psychological, determining preconditious and understanding of pupils psychics, on which the processes of design and use of expert training systems in professional training of future specialists are based.It accounts for the efficient training through the distributed knowledge via the Internet, which greatly increases the didactic capabilities of the system.

  5. Development of an Expert System for Representing Procedural Knowledge (United States)

    Georgeff, Michael P.; Lansky, Amy L.


    A high level of automation is of paramount importance in most space operations. It is critical for unmanned missions and greatly increases the effectiveness of manned missions. However, although many functions can be automated by using advanced engineering techniques, others require complex reasoning, sensing, and manipulatory capabilities that go beyond this technology. Automation of fault diagnosis and malfunction handling is a case in point. The military have long been interested in this problem, and have developed automatic test equipment to aid in the maintenance of complex military hardware. These systems are all based on conventional software and engineering techniques. However, the effectiveness of such test equipment is severely limited. The equipment is inflexible and unresponsive to the skill level of the technicians using it. The diagnostic procedures cannot be matched to the exigencies of the current situation nor can they cope with reconfiguration or modification of the items under test. The diagnosis cannot be guided by useful advice from technicians and, when a fault cannot be isolated, no explanation is given as to the cause of failure. Because these systems perform a prescribed sequence of tests, they cannot utilize knowledge of a particular situation to focus attention on more likely trouble spots. Consequently, real-time performance is highly unsatisfactory. Furthermore, the cost of developing test software is substantial and time to maturation is excessive. Significant advances in artificial intelligence (AI) have recently led to the development of powerful and flexible reasoning systems, known as expert or knowledge-based systems. We have devised a powerful and theoretically sound scheme for representing and reasoning about procedural knowledge.

  6. Designing a fuzzy expert system for selecting knowledge management strategy

    Directory of Open Access Journals (Sweden)

    Ameneh Khadivar


    Full Text Available knowledge management strategy is mentioned as one of the most important success factors for implementing knowledge management. The KM strategy selection is a complex decision that requires consideration of several factors. For evaluation and selection of an appropriate knowledge management strategy in organizations, many factors must be considered. The identified factors and their impact on knowledge management strategy are inherently ambiguous. In this study, an overview of theoretical foundations of research regarding the different knowledge management strategies has been done And factors influencing the knowledge management strategy selection have been extracted from conceptual frameworks and models. How these factors influence the knowledge management strategy selection is extracted through the fuzzy Delphi. Next a fuzzy expert system for the selection of appropriate knowledge management strategy is designed with respect to factors that have an impact on knowledge management strategy. The factors which influence the selection of knowledge management strategy include: general business strategy, organizational structure, cultural factors, IT strategy, strategic human resource management, social level, the types of knowledge creation processes and release it. The factors which influence the knowledge management strategy selection include: business strategy general, organizational structure, cultural factors, IT strategy, human resource management strategies, socialization level, knowledge types and its creation and diffusion processes. According to identified factors which affect the knowledge management strategy, the final strategy is recommended based on the range of human-oriented and system-oriented by keep the balance of explicit and implicit knowledge. The Designed system performance is tested and evaluated by the information related to three Iranian organization.

  7. Rule-based expert system for maritime anomaly detection (United States)

    Roy, Jean


    Maritime domain operators/analysts have a mandate to be aware of all that is happening within their areas of responsibility. This mandate derives from the needs to defend sovereignty, protect infrastructures, counter terrorism, detect illegal activities, etc., and it has become more challenging in the past decade, as commercial shipping turned into a potential threat. In particular, a huge portion of the data and information made available to the operators/analysts is mundane, from maritime platforms going about normal, legitimate activities, and it is very challenging for them to detect and identify the non-mundane. To achieve such anomaly detection, they must establish numerous relevant situational facts from a variety of sensor data streams. Unfortunately, many of the facts of interest just cannot be observed; the operators/analysts thus use their knowledge of the maritime domain and their reasoning faculties to infer these facts. As they are often overwhelmed by the large amount of data and information, automated reasoning tools could be used to support them by inferring the necessary facts, ultimately providing indications and warning on a small number of anomalous events worthy of their attention. Along this line of thought, this paper describes a proof-of-concept prototype of a rule-based expert system implementing automated rule-based reasoning in support of maritime anomaly detection.

  8. Bayesian Islamic medication expert system (B-IMES) (United States)

    Daud, Hanita; Razali, Radzuan; Jung, Low Tan; Zaida, Shahnaz


    This paper discusses on the development of an expert system (ES) that applies Bayesian Probability concept for Islamic Medication practice that is made available on web platform. This ES allows user to choose sickness such as headache, stomachache, toothache and etc that he/she may have and list of symptoms related to the sickness will appear for the user to choose. Once symptom(s) is/are chosen the diagnosis is being carried out to suggest percentage of possible specific sickness such as classic migraine, common migraine, tension headache and etc if headache was chosen. This diagnosis is being carried out using Bayes' Theorem and the ES will suggest the treatments or therapy that he/she needs to perform in reference to Muslim Holy Quran and Hadith. This ES was developed to preserve Islamic medication and to create awareness among the young generation and make it accessible at anytime and anywhere and to save users time to meet Islamic Medication practitioners who are not easily available in Malaysia and other parts of the world.

  9. A neural network architecture for implementation of expert systems for real time monitoring (United States)

    Ramamoorthy, P. A.


    Since neural networks have the advantages of massive parallelism and simple architecture, they are good tools for implementing real time expert systems. In a rule based expert system, the antecedents of rules are in the conjunctive or disjunctive form. We constructed a multilayer feedforward type network in which neurons represent AND or OR operations of rules. Further, we developed a translator which can automatically map a given rule base into the network. Also, we proposed a new and powerful yet flexible architecture that combines the advantages of both fuzzy expert systems and neural networks. This architecture uses the fuzzy logic concepts to separate input data domains into several smaller and overlapped regions. Rule-based expert systems for time critical applications using neural networks, the automated implementation of rule-based expert systems with neural nets, and fuzzy expert systems vs. neural nets are covered.

  10. Expert systems for C3I. Volume 1. A user's introduction (United States)

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


    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.

  11. Strategies for adding adaptive learning mechanisms to rule-based diagnostic expert systems (United States)

    Stclair, D. C.; Sabharwal, C. L.; Bond, W. E.; Hacke, Keith


    Rule-based diagnostic expert systems can be used to perform many of the diagnostic chores necessary in today's complex space systems. These expert systems typically take a set of symptoms as input and produce diagnostic advice as output. The primary objective of such expert systems is to provide accurate and comprehensive advice which can be used to help return the space system in question to nominal operation. The development and maintenance of diagnostic expert systems is time and labor intensive since the services of both knowledge engineer(s) and domain expert(s) are required. The use of adaptive learning mechanisms to increment evaluate and refine rules promises to reduce both time and labor costs associated with such systems. This paper describes the basic adaptive learning mechanisms of strengthening, weakening, generalization, discrimination, and discovery. Next basic strategies are discussed for adding these learning mechanisms to rule-based diagnostic expert systems. These strategies support the incremental evaluation and refinement of rules in the knowledge base by comparing the set of advice given by the expert system (A) with the correct diagnosis (C). Techniques are described for selecting those rules in the in the knowledge base which should participate in adaptive learning. The strategies presented may be used with a wide variety of learning algorithms. Further, these strategies are applicable to a large number of rule-based diagnostic expert systems. They may be used to provide either immediate or deferred updating of the knowledge base.

  12. Guidelines for the verification and validation of expert system software and conventional software: Survey and documentation of expert system verification and validation methodologies. Volume 3

    Energy Technology Data Exchange (ETDEWEB)

    Groundwater, E.H.; Miller, L.A.; Mirsky, S.M. [Science Applications International Corp., McLean, VA (United States)


    This report is the third volume in the final report for the Expert System Verification and Validation (V&V) project which was jointly sponsored by the Nuclear Regulatory Commission and the Electric Power Research Institute. The ultimate objective is the formulation of guidelines for the V&V of expert systems for use in nuclear power applications. The purpose of this activity was to survey and document techniques presently in use for expert system V&V. The survey effort included an extensive telephone interviewing program, site visits, and a thorough bibliographic search and compilation. The major finding was that V&V of expert systems is not nearly as established or prevalent as V&V of conventional software systems. When V&V was used for expert systems, it was almost always at the system validation stage after full implementation and integration usually employing the non-systematic dynamic method of {open_quotes}ad hoc testing.{close_quotes} There were few examples of employing V&V in the early phases of development and only weak sporadic mention of the possibilities in the literature. There is, however, a very active research area concerning the development of methods and tools to detect problems with, particularly, rule-based expert systems. Four such static-testing methods were identified which were not discovered in a comprehensive review of conventional V&V methods in an earlier task.

  13. A statistical modeling approach to build expert credit risk rating systems

    DEFF Research Database (Denmark)

    Waagepetersen, Rasmus


    This paper presents an efficient method for extracting expert knowledge when building a credit risk rating system. Experts are asked to rate a sample of counterparty cases according to creditworthiness. Next, a statistical model is used to capture the relation between the characteristics of a cou......This paper presents an efficient method for extracting expert knowledge when building a credit risk rating system. Experts are asked to rate a sample of counterparty cases according to creditworthiness. Next, a statistical model is used to capture the relation between the characteristics...... of a counterparty and the expert rating. For any counterparty the model can identify the rating, which would be agreed upon by the majority of experts. Furthermore, the model can quantify the concurrence among experts. The approach is illustrated by a case study regarding the construction of an application score...

  14. Applications of geographic information system and expert system for urban runoff and water quality management

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Beum-Hee [Pai Chai University, Taejeon(Korea)


    It is very important to select appropriate methods of collecting, predicting, and analyzing information for the development of urban water resources and the prevention of disasters. Thus, in this study an accurate data generation method is developed using Geographic Information System (GIS) and Remote Sensing (RS). The methods of development and application of an expert system are suggested to solve more efficiently the problems of water resources and quality induced by the rapid urbanization. The time-varying data in a large region, the An-Yang Cheon watershed, were reasonably obtained by the application of the GIS using ARC/INFO and RS data. The ESPE (Expert System for Parameter Estimation), an expert system is developed using the CLIPS 6.0. The simulated results showed agreement with the measured data globally. These methods are expected to efficiently simulate the runoff and water quality in the rapidly varying urban area. (author). 10 refs., 4 tabs., 10 figs.

  15. Computer-Aided Decisions in Human Services: Expert Systems and Multivariate Models. (United States)

    Sicoly, Fiore


    This comparison of two approaches to the development of computerized supports for decision making--expert systems and multivariate models--focuses on computerized systems that assist professionals with tasks related to diagnosis or classification in human services. Validation of both expert systems and statistical models is emphasized. (39…

  16. A Fuzzy Rule-Based Expert System for Evaluating Intellectual Capital

    Directory of Open Access Journals (Sweden)

    Mohammad Hossein Fazel Zarandi


    Full Text Available A fuzzy rule-based expert system is developed for evaluating intellectual capital. A fuzzy linguistic approach assists managers to understand and evaluate the level of each intellectual capital item. The proposed fuzzy rule-based expert system applies fuzzy linguistic variables to express the level of qualitative evaluation and criteria of experts. Feasibility of the proposed model is demonstrated by the result of intellectual capital performance evaluation for a sample company.

  17. An Expert System for Analysis and Reporting of First Pass Radionuclide Ventriculograms


    Lesser, Michael F.


    The Exercise First Pass Radionuclide Ventriculogram is a sophisticated imaging technique which is used in the diagnosis and management of coronary artery disease, the nations leading cause of death. An expert system, using rule based heuristics developed under the GURU (TM, MDBS) environment is described. This expert system produces completed, transcribed reports which concur with expert (Board Certified Cardiologists) cardiovascular opinions, approximately 95% of the time. Operator independe...

  18. Helping operators improve plant performance emdash HEATXPRT; An on-line expert system

    Energy Technology Data Exchange (ETDEWEB)

    Henry, R.E.; Sopocy, D.M.; Montanus, J.A. (Sargent and Lundy, Chicago, IL (US)); Blanco, M.A. (Electric Power Research Inst., Palo Alto, CA (US)); Bleakley, K.W. (Northern Indiana Public Service Co., Hammond, IN (US)); Perry, S.A. (Will County Station, Commonwealth Edison Co., Romeoville, IL (US))


    An on-line expert system for fossil fuel power plants, Heat Rate Degradation Advisor, or HEATXPRT, is being developed. This expert system will be used to automate the interpretation of plant operating data using available on-line plant physical and performance data, along with manual input of additional measurements and observations when necessary. This expert system will operate on a microcomputer and will interface with existing plant data acquisition and/or thermal performance monitoring systems, which presents a variety of design challenges. Several significant features of this expert system are discussed in this paper, including the design of a modular expert system architecture, design of a consistent user interface, development of a standard specification for information transfer, application of sensor validation techniques, and development of a knowledge base suitable for the interpretation of on-line data.

  19. An expert system for national economy model simulations

    Directory of Open Access Journals (Sweden)

    Roljić Lazo


    Full Text Available There are some fundamental economic uncertainties. We cannot forecast economic events with a very high scientific precision. It is very clear that there does not exist a unique 'general' model, which can yield all answers to a wide range of macroeconomic issues. Therefore, we use several different kinds of models on segments of the macroeconomic problem. Different models can distinguish/solve economy desegregation, time series analysis and other subfactors involved in macroeconomic problem solving. A major issue becomes finding a meaningful method to link these econometric models. Macroeconomic models were linked through development of an Expert System for National Economy Model Simulations (ESNEMS. ESNEMS consists of five parts: (1 small-scale short-term national econometric model, (2 Methodology of Interactive Nonlinear Goal Programming (MINGP, (3 data-base of historical macro-economic aggregates, (4 software interface for interactive communications between a model and a decision maker, and (5 software for solving problems. ESNEMS was developed to model the optimum macro-economic policy of a developing country (SFRY-formerly Yugoslavia. Most econometric models are very complex. Optimizing of the economic policy is typically defined as a nonlinear goal programming problem. To solve/optimize these models, a new methodology, MINGP, was developed as a part of ESNEMS. MINGP is methodologically based on linear goal programming and feasible directions method. Using Euler's Homogeneous Function Theorem, MINGP linearizes nonlinear homogeneous functions. The highest priorities in minimizing the objective function are the growth of gross domestic product and the decrease of inflation. In the core of the optimization model, MINGP, there is a small-scale econometric model. This model was designed through analysis of the causal relations in the SFRY's social reproduction process of the past 20 years. The objective of the econometric model is to simulate

  20. The Suitability of Expert System Application in Czech Small and Medium‑Sized Enterprises

    Directory of Open Access Journals (Sweden)

    Ekaterina Khitilova


    Full Text Available Small and medium-sized enterprises play an important role in the economy of Czech Republic. Expert systems are one of the alternatives evaluated the effectiveness of the relationship between supplier and customer. Currently, measurement and increase in efficiency of supplier-customer relations is very topical subject. The requirements for tools the improvement supplier- customer relationship can be specified on the base the literature analysis. The article defines basic requirements for expert system. The presentation of expert system and its suitability in the surroundings of small and medium sized enterprises is the part of this article. The comparison of the expert system possibilities and the compiled requirements leads to suitability analysis of selected solution. Actual questions and the way of future work are derived from current results, presented in the paper. The article defined the directions of development this expert system.

  1. Expert Seeker: A People-Finder Knowledge Management System (United States)

    Becerra-Fernandez, Irma


    The first objective for this report was to perform a comprehensive research of industry models currently being used for similar purposes, in order to provide the Center with ideas of what is being done in area by private companies and government agencies. The second objective was to evaluate the use of taxonomies or ontologies to describe and catalog the areas of expertise at GSFC. The creation of a knowledge taxonomy is necessary for information extraction in order for The Expert Seeker to adequately search and find experts in a particular area of expertise. The requirements to develop a taxonomy are: provide minimal descriptive text; have the appropriate level of abstration; facilitate browsing; ease of use and speed of data entry are critical for success; customized to the organization and its culture; extent of knowledge areas; expandable, so new skills could be develop; could be complemented with free text fields to allow users the option to describe their knowledge in detail.

  2. Assessment on EXPERT Descent and Landing System Aerodynamics (United States)

    Wong, H.; Muylaert, J.; Northey, D.; Riley, D.


    EXPERT is a re-entry vehicle designed for validation of aero-thermodynamic models, numerical schemes in Computational Fluid Dynamics codes and test facilities for measuring flight data under an Earth re-entry environment. This paper addresses the design for the descent and landing sequence for EXPERT. It includes the descent sequence, the choice of drogue and main parachutes, and the parachute deployment condition, which can be supersonic or subsonic. The analysis is based mainly on an engineering tool, PASDA, together with some hand calculations for parachute sizing and design. The tool consists of a detailed 6-DoF simulation performed with the aerodynamics database of the vehicle, an empirical wakes model and the International Standard Atmosphere database. The aerodynamics database for the vehicle is generated by DNW experimental data and CFD codes within the framework of an ESA contract to CIRA. The analysis will be presented in terms of altitude, velocity, accelerations, angle-of- attack, pitch angle and angle of rigging line. Discussion on the advantages and disadvantages of each parachute deployment condition is included in addition to some comparison with the available data based on a Monte-Carlo method from a Russian company, FSUE NIIPS. Sensitivity on wind speed to the performance of EXPERT is shown to be strong. Supersonic deployment of drogue shows a better performance in stability at the expense of a larger G-load than those from the subsonic deployment of drogue. Further optimization on the parachute design is necessary in order to fulfill all the EXPERT specifications.

  3. Practical Applications of Artificial Intelligence, Expert Systems at NAVSEA, (United States)


    rules out astrology . and probably selecting stock portfolios, * Rule out those problems where the experts always argue about whether the answer is...process of identifying issues with a high probability of adjustment on individual 1040-type tax returns." (Sullivan, July 1986). This area of...facts and tens of thousands of rules. The present software and hardware are not capable of this level and probably won’t be for another AI generation

  4. Evaluation of Expert System at Forensic Document Examinations in Turkey

    Directory of Open Access Journals (Sweden)

    Nevzat Alkan


    Full Text Available Forensic document examination is one of the most important fields of Forensic Sciences. Purpose of our study is to analyse how. with whom and with which agencies and principles of expert applications related with forensic document examinations are made in our country. With this purpose, it is discussed by examining law paragraphs including expertise, legal expert organizations that work in this subject, forensic document examination laboratories occupied in these organizations, work responsibilities, technical and worker capacities and principles applied to choose their workers, private expert applications in forensic document examination and codes of The Society of Forensic Medicine Specialists and The Society of Forensic Sciences. The data we obtained showed that new legal arrengements are necessary for forensic document examinations in our country. In this way, certain work standards and educational rules will be formulated in application and sufficient controls will be ensured to avoid exploitation. Besides legal arrangements this will be possible with internal arrangements of the professional societies. Keywords: Forensic Medicine, Forensic Sciences. Forensic Document Examination, Graphology, Calligraphy


    Directory of Open Access Journals (Sweden)

    Олександр Михайлович ВОЗНИЙ


    Full Text Available There have been proposed the model of the expert system for the assessment of research projects in higher educational institutions, based on estimates of probability. It allows to rank alternative projects and scenarios. The model is implemented through the software "Small expert system." The principle of calculating the probability of approval of research projects, which form the basis of the expert system, is based on Bayes' theorem. Expert system calculates the probability of approval of research projects by Ministry of Science and Education on the basis of the responses to questions about the content of the request for the execution of research projects. Questions are formed on the basis of the criteria by which experts of state authorities evaluate scientific research projects.

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

    Energy Technology Data Exchange (ETDEWEB)

    Becker, G.K.; Determan, J.C. [Idaho National Engineering and Environmental Lab., Idaho Falls, ID (United States)


    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.

  7. Expert system development methodology and the transition from prototyping to operations: FIESTA, a case study (United States)

    Happell, Nadine; Miksell, Steve; Carlisle, Candace


    A major barrier in taking expert systems from prototype to operational status involves instilling end user confidence in the operational system. The software of different life cycle models is examined and the advantages and disadvantages of each when applied to expert system development are explored. The Fault Isolation Expert System for Tracking and data relay satellite system Applications (FIESTA) is presented as a case study of development of an expert system. The end user confidence necessary for operational use of this system is accentuated by the fact that it will handle real-time data in a secure environment, allowing little tolerance for errors. How FIESTA is dealing with transition problems as it moves from an off-line standalone prototype to an on-line real-time system is discussed.

  8. Expert system development methodology and the transition from prototyping to operations - Fiesta, a case study (United States)

    Happell, Nadine; Miksell, Steve; Carlisle, Candace


    A major barrier in taking expert systems from prototype to operational status involves instilling end user confidence in the operational system. The software of different life cycle models is examined and the advantages and disadvantages of each when applied to expert system development are explored. The Fault Isolation Expert System for Tracking and data relay satellite system Applications (FIESTA) is presented as a case study of development of an expert system. The end user confidence necessary for operational use of this system is accentuated by the fact that it will handle real-time data in a secure environment, allowing little tolerance for errors. How FIESTA is dealing with transition problems as it moves from an off-line standalone prototype to an on-line real-time system is discussed.

  9. The CBT Advisor: An Expert System Program for Making Decisions about CBT. (United States)

    Kearsley, Greg


    Discusses structure, credibility, and use of the Computer Based Training (CBT) Advisor, an expert system designed to help managers make judgements about course selection, system selection, cost/benefits, development effort, and probable success of CBT projects. (MBR)

  10. Developing and using expert systems and neural networks in medicine: a review on benefits and challenges. (United States)

    Sheikhtaheri, Abbas; Sadoughi, Farahnaz; Hashemi Dehaghi, Zahra


    Complicacy of clinical decisions justifies utilization of information systems such as artificial intelligence (e.g. expert systems and neural networks) to achieve better decisions, however, application of these systems in the medical domain faces some challenges. We aimed at to review the applications of these systems in the medical domain and discuss about such challenges. Following a brief introduction of expert systems and neural networks by representing few examples, the challenges of these systems in the medical domain are discussed. We found that the applications of expert systems and artificial neural networks have been increased in the medical domain. These systems have shown many advantages such as utilization of experts' knowledge, gaining rare knowledge, more time for assessment of the decision, more consistent decisions, and shorter decision-making process. In spite of all these advantages, there are challenges ahead of developing and using such systems including maintenance, required experts, inputting patients' data into the system, problems for knowledge acquisition, problems in modeling medical knowledge, evaluation and validation of system performance, wrong recommendations and responsibility, limited domains of such systems and necessity of integrating such systems into the routine work flows. We concluded that expert systems and neural networks can be successfully used in medicine; however, there are many concerns and questions to be answered through future studies and discussions.

  11. Using a CLIPS expert system to automatically manage TCP/IP networks and their components (United States)

    Faul, Ben M.


    A expert system that can directly manage networks components on a Transmission Control Protocol/Internet Protocol (TCP/IP) network is described. Previous expert systems for managing networks have focused on managing network faults after they occur. However, this proactive expert system can monitor and control network components in near real time. The ability to directly manage network elements from the C Language Integrated Production System (CLIPS) is accomplished by the integration of the Simple Network Management Protocol (SNMP) and a Abstract Syntax Notation (ASN) parser into the CLIPS artificial intelligence language.

  12. Expert assessment of the current state of the energy management system in the company (United States)

    Minnullina, Anna; Abdrazakov, Rais


    The authors’ expert assessment of the current state of the energy management system in the company is proposed in the article. The experts are invited to assess the status of the energy management system in the following categories: energy policy, organizational structure, training, motivation, control, communication, investment, and energy consumption culture. For the purposes of interpretation of the results of the expert evaluation obtained, a gradation based on a possible range of values is proposed. The expert evaluation allows representing the status of the energy management system in general and at each of its individual levels, which makes it possible to identify the problem areas more accurately. To confirm the applied nature of the proposed methodology, the authors assessed the opinions of 8 experts, employed by the road construction company of the Tyumen Region and related in one way or another to the process of energy consumption in the company due to the nature of their activities.

  13. Multiple risk expert systems interventions: impact of simultaneous stage-matched expert system interventions for smoking, high-fat diet, and sun exposure in a population of parents. (United States)

    Prochaska, James O; Velicer, Wayne F; Rossi, Joseph S; Redding, Colleen A; Greene, Geoffrey W; Rossi, Susan R; Sun, Xiaowu; Fava, Joseph L; Laforge, Robert; Plummer, Brett A


    Three stage-based expert system interventions for smoking, high-fat diet, and unsafe sun exposure were evaluated in a sample of 2,460 parents of teenagers. Eighty-four percent of the eligible parents were enrolled in a 2-arm randomized control trial, with the treatment group receiving individualized feedback reports for each of their relevant behaviors at 0, 6, and 12 months as well as a multiple behavior manual. At 24 months, the expert system outperformed the comparison condition across all 3 risk behaviors, resulting in 22% of the participants in action or maintenance for smoking (vs. 16% for the comparison condition), 34% for diet (vs. 26%), and 30% for sun exposure (vs. 22%). Proactive, home-based, and stage-matched expert systems can produce significant multiple behavior changes in at-risk populations where the majority of participants are not prepared to change. ((c) 2004 APA, all rights reserved)

  14. EDNA-An expert software system for comparison and evaluation of DNA profiles in forensic casework

    DEFF Research Database (Denmark)

    Haldemann, B.; Dornseifer, S.; Heylen, T.


    eDNA is an expert software system for DNA profile comparison, match interpretation and automated report generation in forensic DNA casework. Process automation and intelligent graphical representation maximise reliability of DNA evidence, while facilitating and accelerating the work of DNA experts....

  15. Detection of Roller Bearing Defects Using Expert System and Fuzzy Logic (United States)

    Liu, T. I.; Singonahalli, J. H.; Iyer, N. R.


    A fuzzy expert system, Bearing_Expert, has been developed. This expert system is PC-based. It is menu driven and it is very user-friendly. This expert system offers specific knowledge of various aspects about bearing monitoring, such as diagnostic methods, defect frequencies, feature selection, fuzzy bearing classification etc. By responding to different questions successively, the user can obtain very specific knowledge via the shortest path. In order to demonstrate the effectiveness of Bearing_Expert, experiments have been conducted. Radial accelerations have been measured and analysed. Feature selection has been performed effectively by the integration of Bearing_Expert and a computer program. The average of the top five values of frequency response in the high frequency region (5-22 kHz) has been found to be the best feature for the detection of roller bearing defects. Fuzzy reasoning has also been used via Bearing_Expert. Piecewise linear membership functions have been developed. A 100% reliability has been achieved for the detection of roller bearing defects via fuzzy reasoning. Bearing_Expert is very beneficial for factory automation and preventive maintenance.

  16. A Survey of Algorithms and Systems for Expert Location in Social Networks (United States)

    Lappas, Theodoros; Liu, Kun; Terzi, Evimaria

    Given a particular task and a set of candidates, one often wants to identify the right expert (or set of experts) that can perform the given task. We call this problem the expert-location problem and we survey its different aspects as they arise in practice. For example, given the activities of candidates within a context (e.g., authoring a document, answering a question), we first describe methods for evaluating the level of expertise for each of them. Often, experts are organized in networks that correspond to social networks or organizational structures of companies. We next devote part of the chapter for describing algorithms that compute the expertise level of individuals by taking into account their position in such a network. Finally, complex tasks often require the collective expertise of more than one experts. In such cases, it is more realistic to require a team of experts that can collaborate towards a common goal. We describe algorithms that identify effective expert teams within a network of experts. The chapter is a survey of different algorithms for expertise evaluation and team identification. We highlight the basic algorithmic problems and give some indicative algorithms that have been developed in the literature. We conclude the chapter by providing a comprehensive overview of real-life systems for expert location.

  17. An Expert System for Supporting the Design and Selection of Mechanical Equipment for Recreational Crafts

    Directory of Open Access Journals (Sweden)

    T. Gonciarz


    Full Text Available Expert Systems can be defined as computer programs, whose main task is to simulate a human expert, usually in a narrow field of expertise. Expert Systems have experienced tremendous growth and popularity since their commercial introduction in the early 1970’s. Today, Expert Systems are used in business, science, engineering, manufacturing and other engineering applications such as planning, scheduling, diagnosing equipment failures and are used in almost every stage of the manufacturing process and also in medicine and many other fields. Expert Systems belong to the field of artificial intelligence. An intelligent computer program that uses knowledge and inference procedures to solve problems that are difficult enough to require significant human expertise for the solution. The purpose of this paper is to present an Expert System which assists with the design of yachts and supports the selection of mechanical equipment for yachts and includes knowledge in the field of yachting engineering. Using the presented Expert System reduces the time during the design and production preparation process.

  18. Knowledge acquisition from natural language for expert systems based on classification problem-solving methods (United States)

    Gomez, Fernando


    It is shown how certain kinds of domain independent expert systems based on classification problem-solving methods can be constructed directly from natural language descriptions by a human expert. The expert knowledge is not translated into production rules. Rather, it is mapped into conceptual structures which are integrated into long-term memory (LTM). The resulting system is one in which problem-solving, retrieval and memory organization are integrated processes. In other words, the same algorithm and knowledge representation structures are shared by these processes. As a result of this, the system can answer questions, solve problems or reorganize LTM.

  19. [Expert investigation on food safety standard system framework construction in China]. (United States)

    He, Xiang; Yan, Weixing; Fan, Yongxiang; Zeng, Biao; Peng, Zhen; Sun, Zhenqiu


    Through investigating food safety standard framework among food safety experts, to summarize the basic elements and principles of food safety standard system, and provide policy advices for food safety standards framework. A survey was carried out among 415 experts from government, professional institutions and the food industry/enterprises using the National Food Safety Standard System Construction Consultation Questionnaire designed in the name of the Secretariat of National Food Safety Standard Committee. Experts have different advices in each group about the principles of food product standards, food additive product standards, food related product standards, hygienic practice, test methods. According to the results, the best solution not only may reflect experts awareness of the work of food safety standards situation, but also provide advices for setting and revision of food safety standards for the next. Through experts investigation, the framework and guiding principles of food safety standard had been built.

  20. A Tool for Automatic Verification of Real-Time Expert Systems (United States)

    Traylor, B.; Schwuttke, U.; Quan, A.


    The creation of an automated, user-driven tool for expert system development, validation, and verification is curretly onoging at NASA's Jet Propulsion Laboratory. In the new age of faster, better, cheaper missions, there is an increased willingness to utilize embedded expert systems for encapsulating and preserving mission expertise in systems which combine conventional algorithmic processing and artifical intelligence. The once-questioned role of automation in spacecraft monitoring is now becoming one of increasing importance.

  1. Neural Network Expert System in the Application of Tower Fault Diagnosis (United States)

    Liu, Xiaoyang; Xia, Zhongwu; Tao, Zhiyong; Zhao, Zhenlian

    For the corresponding fuzzy relationship between the fault symptoms and the fault causes in the process of tower crane operation, this paper puts forward a kind of rapid new method of fast detection and diagnosis for common fault based on neural network expert system. This paper makes full use of expert system and neural network advantages, and briefly introduces the structure, function, algorithm and realization of the adopted system. Results show that the new algorithm is feasible and can achieve rapid faults diagnosis.

  2. Research on architecture of intelligent design platform for artificial neural network expert system (United States)

    Gu, Honghong


    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.

  3. An expert system for diagnostics and estimation of steam turbine components condition (United States)

    Murmansky, B. E.; Aronson, K. E.; Brodov, Yu. M.


    The report describes an expert system of probability type for diagnostics and state estimation of steam turbine technological subsystems components. The expert system is based on Bayes’ theorem and permits to troubleshoot the equipment components, using expert experience, when there is a lack of baseline information on the indicators of turbine operation. Within a unified approach the expert system solves the problems of diagnosing the flow steam path of the turbine, bearings, thermal expansion system, regulatory system, condensing unit, the systems of regenerative feed-water and hot water heating. The knowledge base of the expert system for turbine unit rotors and bearings contains a description of 34 defects and of 104 related diagnostic features that cause a change in its vibration state. The knowledge base for the condensing unit contains 12 hypotheses and 15 evidence (indications); the procedures are also designated for 20 state parameters estimation. Similar knowledge base containing the diagnostic features and faults hypotheses are formulated for other technological subsystems of turbine unit. With the necessary initial information available a number of problems can be solved within the expert system for various technological subsystems of steam turbine unit: for steam flow path it is the correlation and regression analysis of multifactor relationship between the vibration parameters variations and the regime parameters; for system of thermal expansions it is the evaluation of force acting on the longitudinal keys depending on the temperature state of the turbine cylinder; for condensing unit it is the evaluation of separate effect of the heat exchange surface contamination and of the presence of air in condenser steam space on condenser thermal efficiency performance, as well as the evaluation of term for condenser cleaning and for tube system replacement and so forth. With a lack of initial information the expert system enables to formulate a diagnosis

  4. Development of a knowledge acquisition tool for an expert system flight status monitor (United States)

    Disbrow, J. D.; Duke, E. L.; Regenie, V. A.


    Two of the main issues in artificial intelligence today are knowledge acquisition and knowledge representation. The Dryden Flight Research Facility of NASA's Ames Research Center is presently involved in the design and implementation of an expert system flight status monitor that will provide expertise and knowledge to aid the flight systems engineer in monitoring today's advanced high-performance aircraft. The flight status monitor can be divided into two sections: the expert system itself and the knowledge acquisition tool. This paper discusses the knowledge acquisition tool, the means it uses to extract knowledge from the domain expert, and how that knowledge is represented for computer use. An actual aircraft system has been codified by this tool with great success. Future real-time use of the expert system has been facilitated by using the knowledge acquisition tool to easily generate a logically consistent and complete knowledge base.

  5. Design of the expert system to analyze disease in Plant Teak using Forward Chaining

    Directory of Open Access Journals (Sweden)

    Poningsih Poningsih


    Full Text Available Teak is one kind of plant that is already widely known and developed by the wider community in the form of plantations and community forests. This is because until now Teak wood is a commodity of luxury, high quality, the price is expensive, and high economic value. Expert systems are a part of the method sciences artificial intelligence to make an application program disease diagnosis teak computerized seek to replace and mimic the reasoning process of an expert or experts in solving the problem specification that can be said to be a duplicate from an expert because science knowledge is stored inside a database  Expert System for the diagnosis of disease teak using forward chaining method aims to explore the characteristics shown in the form of questions in order to diagnose the disease teak with web-based software. Device keel expert system can recognize the disease after consulting identity by answering some of the questions presented by the application of expert systems and can infer some kind of disease in plants teak. Data disease known customize rules (rules are made to match the characteristics of teak disease and provide treatment solutions.

  6. An Expert System-based Context-Aware Ubiquitous Learning Approach for Conducting Science Learning Activities

    National Research Council Canada - National Science Library

    Po-Han Wu; Gwo-Jen Hwang; Wen-Hung Tsai


    .... In this study, an expert system-based guidance approach is proposed for conducting effective context-aware ubiquitous learning activities based on the domain knowledge provided by experienced teachers...

  7. Guidelines for the verification and validation of expert system software and conventional software: Bibliography. Volume 8

    Energy Technology Data Exchange (ETDEWEB)

    Miller, L.A.; Hayes, J.E.; Mirsky, S.M. [Science Applications International Corp., McLean, VA (United States)


    This volume contains all of the technical references found in Volumes 1-7 concerning the development of guidelines for the verification and validation of expert systems, knowledge-based systems, other AI systems, object-oriented systems, and conventional systems.

  8. Enhancing an adaptive e-learning system with didactic test assessment using an expert system (United States)

    Bradáč, Vladimír; Kostolányová, Kateřina


    The paper deals with a follow-up research on intelligent tutoring systems that were studied in authors' previous papers from the point of view of describing their advantages. In this paper, the authors make use of the fuzzy logic expert system, which assesses student's knowledge, and integrate it into the intelligent tutoring system called Barborka. The goal is to create an even more personal student's study plan, which is tailored both to student's sensory/learning preferences and the level of knowledge of the given subject.

  9. An expert system for valvular heart disease using MRI and its clinical applications


    中川, 富夫


    MRI is a valuable tool for diagnosing heart disease today. The cardiac blood flow is determined by an MRI image analysis and expert system. Image data are taken by a TV camera and digitalized. After gray level thresholding and region segmentation, the boundary of the regurgitant flow region is precisely extracted. Using this expert system, a doctor can easily make an accurate diagnosis of the valvular heart disease. This method should prove useful for the diagnosis of various heart diseases.

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

    Happell, Nadine; Miksell, Steven G.


    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. Comparative study of four maxillofacial trauma scoring systems and expert score. (United States)

    Chen, Chen; Zhang, Yi; An, Jin-gang; He, Yang; Gong, Xi


    To select a scoring system suitable for the scoring of maxillofacial trauma by comparing 4 commonly used scoring systems according to expert scoring. Twenty-eight subjects who had experienced maxillofacial trauma constituted the study cohort. Four commonly used systems were selected: New Injury Severity Score (NISS), Facial Injury Severity Scale (FISS), Maxillofacial Injury Severity Score (MFISS), and Maxillofacial Injury Severity Score (MISS). Each patient was graded using these 4 systems. From the experience of our trauma center, an expert scoring table was created. After the purpose and scheme of the study had been explained, 35 experts in maxillofacial surgery were invited to grade the injury of the 28 patients using the expert scoring table according to their clinical experience. The results of the 4 scoring systems and expert score were compared. The results of the 4 scoring systems and expert score demonstrated a normal distribution. All results demonstrated significant differences (P maxillofacial injuries. Copyright © 2014 American Association of Oral and Maxillofacial Surgeons. Published by Elsevier Inc. All rights reserved.

  12. Expert system for compressor maintenance support; Sistema especialista para apoio a manutencao de compressores

    Energy Technology Data Exchange (ETDEWEB)

    Silva, Jonny Carlos da [Universidade Federal de Santa Catarina (UFSC), Florianopolis, SC (Brazil). Dept. de Engenharia Mecanica; Caletti, Luciano [KEOHPS - Knowledge Engineering on Hydraulic and Pneumatic System, SC (Brazil); Luna, Paulo de T.M. [Universidade Regional de Blumenau - FURB, SC (Brazil)


    The performance of critical machines in industrial processes, such as compressors used in industrial plants, is fundamental for overall company operation. In this context, it becomes strategic the application of methods and tools to support the operation and maintenance of the most relevant process equipment. Among these computational tools are the Expert Systems, which aim to emulate the decision making process of human experts in a specific knowledge domain. In Oil and Gas domain, an example of such tools is the SEGRED project, which combines expert system techniques with dynamic simulation of transport and distribution natural gas networks. The SECOMP project, Expert System for Compressor Maintenance, is considered a spin-off of the SEGRED. Its objective is to develop an expert system to support maintenance activities, aiming to increase reliability, improve performance and reduce maintenance and operational costs. This article presents the first phase of the SECOMP project, which is related to the development of an expert system prototype for corrective maintenance of natural gas reciprocating compressors. The paper discusses the context of this knowledge domain, the prototype development and its potential contribution in an industrial environment. (author)

  13. A Web-Based Rice Plant Expert System Using Rule-Based Reasoning

    Directory of Open Access Journals (Sweden)

    Anton Setiawan Honggowibowo


    Full Text Available Rice plants can be attacked by various kinds of diseases which are possible to be determined from their symptoms. However, it is to recognize that to find out the exact type of disease, an agricultural expert’s opinion is needed, meanwhile the numbers of agricultural experts are limited and there are too many problems to be solved at the same time. This makes a system with a capability as an expert is required. This system must contain the knowledge of the diseases and symptom of rice plants as an agricultural expert has to have. This research designs a web-based expert system using rule-based reasoning. The rule are modified from the method of forward chaining inference and backward chaining in order to to help farmers in the rice plant disease diagnosis. The web-based rice plants disease diagnosis expert system has the advantages to access and use easily. With web-based features inside, it is expected that the farmer can accesse the expert system everywhere to overcome the problem to diagnose rice diseases.

  14. The basics of formation of expert systems for industry and science

    Directory of Open Access Journals (Sweden)

    Vidyaev Igor G.


    Full Text Available This paper considers the basics of development of a practice-oriented information system of examination of industrial and scientific projects realized in the field of machine building. The first part of the paper is devoted to the main problems which are necessary to solve while designing such systems. The methods of self-organisation and adaptation, the use of expert evaluations and other approaches, for instance, those connected with the study of various fundamental and applied aspects of intelligence control systems, were considered. The main problems that are solved when creating an effective system of the expert selection were structured and expounded. In addition, the information, based both on already existing models (DFD, BPMN and on modern approaches (a system approach, Delphi technique, artificial neural networks, concerning the creation of an effective system of expert evaluations was presented. A combination of the approved methods and new approaches allows adapting the system to different conditions of use.

  15. Qpais: A Web-Based Expert System for Assistedidentification of Quarantine Stored Insect Pests (United States)

    Huang, Han; Rajotte, Edwin G.; Li, Zhihong; Chen, Ke; Zhang, Shengfang

    Stored insect pests can seriously depredate stored products causing worldwide economic losses. Pests enter countries traveling with transported goods. Inspection and Quarantine activities are essential to prevent the invasion and spread of pests. Identification of quarantine stored insect pests is an important component of the China's Inspection and Quarantine procedure, and it is necessary not only to identify whether the species captured is an invasive species, but determine control procedures for stored insect pests. With the development of information technologies, many expert systems that aid in the identification of agricultural pests have been developed. Expert systems for the identification of quarantine stored insect pests are rare and are mainly developed for stand-alone PCs. This paper describes the development of a web-based expert system for identification of quarantine stored insect pests as part of the China 11th Five-Year National Scientific and Technological Support Project (115 Project). Based on user needs, textual knowledge and images were gathered from the literature and expert interviews. ASP.NET, C# and SQL language were used to program the system. Improvement of identification efficiency and flexibility was achieved using a new inference method called characteristic-select-based spatial distance method. The expert system can assist identifying 150 species of quarantine stored insect pests and provide detailed information for each species. The expert system has also been evaluated using two steps: system testing and identification testing. With a 85% rate of correct identification and high efficiency, the system evaluation shows that this expert system can be used in identification work of quarantine stored insect pests.

  16. Workflow Agents vs. Expert Systems: Problem Solving Methods in Work Systems Design (United States)

    Clancey, William J.; Sierhuis, Maarten; Seah, Chin


    During the 1980s, a community of artificial intelligence researchers became interested in formalizing problem solving methods as part of an effort called "second generation expert systems" (2nd GES). How do the motivations and results of this research relate to building tools for the workplace today? We provide an historical review of how the theory of expertise has developed, a progress report on a tool for designing and implementing model-based automation (Brahms), and a concrete example how we apply 2nd GES concepts today in an agent-based system for space flight operations (OCAMS). Brahms incorporates an ontology for modeling work practices, what people are doing in the course of a day, characterized as "activities." OCAMS was developed using a simulation-to-implementation methodology, in which a prototype tool was embedded in a simulation of future work practices. OCAMS uses model-based methods to interactively plan its actions and keep track of the work to be done. The problem solving methods of practice are interactive, employing reasoning for and through action in the real world. Analogously, it is as if a medical expert system were charged not just with interpreting culture results, but actually interacting with a patient. Our perspective shifts from building a "problem solving" (expert) system to building an actor in the world. The reusable components in work system designs include entire "problem solvers" (e.g., a planning subsystem), interoperability frameworks, and workflow agents that use and revise models dynamically in a network of people and tools. Consequently, the research focus shifts so "problem solving methods" include ways of knowing that models do not fit the world, and ways of interacting with other agents and people to gain or verify information and (ultimately) adapt rules and procedures to resolve problematic situations.

  17. Belief-rule-based expert systems for evaluation of e-government

    DEFF Research Database (Denmark)

    Hossain, Mohammad Shahadat; Zander, Pär-Ola Mikael; Kamal, Md Sarwar


    , it requires continuous evaluation of the overall e-government system as well as evaluation of its various dimensions such as determinants, characteristics and results. E-government development is often complex, with multiple stakeholders, large user bases and complex goals. Consequently, even experts have......Little knowledge exists on the impact and results associated with e-government projects in many specific-use domains. Therefore, it is necessary to evaluate the efficiency and effectiveness of e-government systems. Because the development of e-government is a continuous process of improvement...... difficulties in evaluating these systems, especially in an integrated and comprehensive way, as well as on an aggregate level. Expert systems are a candidate solution to evaluate such complex e-government systems. However, it is difficult for expert systems to cope with uncertain evaluation data that are vague...

  18. Accident diagnosis system based on real-time decision tree expert system (United States)

    Nicolau, Andressa dos S.; Augusto, João P. da S. C.; Schirru, Roberto


    Safety is one of the most studied topics when referring to power stations. For that reason, sensors and alarms develop an important role in environmental and human protection. When abnormal event happens, it triggers a chain of alarms that must be, somehow, checked by the control room operators. In this case, diagnosis support system can help operators to accurately identify the possible root-cause of the problem in short time. In this article, we present a computational model of a generic diagnose support system based on artificial intelligence, that was applied on the dataset of two real power stations: Angra1 Nuclear Power Plant and Santo Antônio Hydroelectric Plant. The proposed system processes all the information logged in the sequence of events before a shutdown signal using the expert's knowledge inputted into an expert system indicating the chain of events, from the shutdown signal to its root-cause. The results of both applications showed that the support system is a potential tool to help the control room operators identify abnormal events, as accidents and consequently increase the safety.

  19. Expert Meeting: Optimized Heating Systems Using Condensing Boilers and Baseboard Convectors

    Energy Technology Data Exchange (ETDEWEB)

    Arena, L.


    On August 11, 2011, in Denver, CO, a Building America Expert Meeting was held in conjunction with the Building America Residential Energy Efficiency Technical Update Meeting, to review and discuss results and future plans for research to improve the performance of hydronic heating systems using condensing boilers and baseboard convectors. A meeting objective was to provide an opportunity for other Building America teams and industry experts to provide feedback and specific suggestions for the planned research.

  20. Expert Meeting. Optimized Heating Systems Using Condensing Boilers and Baseboard Convectors

    Energy Technology Data Exchange (ETDEWEB)

    Arena, L. [Steven Winter Associates, Inc., Norwalk, CT (United States)


    On August 11, 2011, in Denver, CO, a Building America Expert Meeting was held in conjunction with the Building America Residential Energy Efficiency Technical Update Meeting, to review and discuss results and future plans for research to improve the performance of hydronic heating systems using condensing boilers and baseboard convectors. A meeting objective was to provide an opportunity for other Building America teams and industry experts to provide feedback and specific suggestions for the planned research.

  1. A Reasoning Technique for Taxonomy Expert System of Living Organisms


    Desiani, Anita; Firdaus, Firdaus; Maiyanti, Sri Indra


    Taxonomy of living organisms can help scientists to sort organisms in order and help them to identify new organisms by finding out which their groups. It also is easier to study organisms when they are sorted in groups. Taxonomy of living organisms system is a important basic part of ecology system. Researcher should know about any organisms that they noted in an ecology. Integration between classification taxonomy of Living Organisms and technology information will have many advantages for ...

  2. Expert System Architecture for Rocket Engine Numerical Simulators: A Vision (United States)

    Mitra, D.; Babu, U.; Earla, A. K.; Hemminger, Joseph A.


    Simulation of any complex physical system like rocket engines involves modeling the behavior of their different components using mostly numerical equations. Typically a simulation package would contain a set of subroutines for these modeling purposes and some other ones for supporting jobs. A user would create an input file configuring a system (part or whole of a rocket engine to be simulated) in appropriate format understandable by the package and run it to create an executable module corresponding to the simulated system. This module would then be run on a given set of input parameters in another file. Simulation jobs are mostly done for performance measurements of a designed system, but could be utilized for failure analysis or a design job such as inverse problems. In order to use any such package the user needs to understand and learn a lot about the software architecture of the package, apart from being knowledgeable in the target domain. We are currently involved in a project in designing an intelligent executive module for the rocket engine simulation packages, which would free any user from this burden of acquiring knowledge on a particular software system. The extended abstract presented here will describe the vision, methodology and the problems encountered in the project. We are employing object-oriented technology in designing the executive module. The problem is connected to the areas like the reverse engineering of any simulation software, and the intelligent systems for simulation.

  3. The role of the system developer/knowledge engineer in the development of materials performance expert systems

    Energy Technology Data Exchange (ETDEWEB)

    Lichti, K.A. [Industrial Research Ltd., Lower Hutt (New Zealand)


    The system developer typically co-ordinates expert system development teams and ensures goals and objectives are met in a timely fashion. A spiral model of expert system software development procedures incorporating Quality Assurance principles for determining documentation requirements is advocated to aid the system developer in his co-ordination role. Efficient use of documentation and inter-team consultation can ensure Quality Control and Quality Assurance by exposing each stage of the development to reasoned criticism.

  4. Development of an expert system for power quality advisement using CLIPS 6.0 (United States)

    Chandrasekaran, A.; Sarma, P. R. R.; Sundaram, Ashok


    Proliferation of power electronic devices has brought in its wake both deterioration in and demand for quality power supply from the utilities. The power quality problems become apparent when the user's equipment or systems maloperate or fail. Since power quality concerns arise from a wide variety of sources and the problem fixes are better achieved from the expertise of field engineers, development of an expert system for power quality advisement seems to be a very attractive and cost-effective solution for utility applications. An expert system thus developed gives an understanding of the adverse effects of power quality related problems on the system and could help in finding remedial solutions. The paper reports the design of a power quality advisement expert system being developed using CLIPS 6.0. A brief outline of the power quality concerns is first presented. A description of the knowledge base is next given and details of actual implementation include screen output from the program.

  5. CQR; A hybrid expert system for security assessment

    Energy Technology Data Exchange (ETDEWEB)

    Christie, R.D. (Carnegie-Mellon Univ., Pittsburgh, PA (USA)); Talukdar, S.N. (Carnegie-Mellon Univ., Pittsburgh, PA (USA). Engineering Design Research Center); Nixon, J.C. (Allegheny Power System Corp., New York, NY (USA))


    An off-line prototype, called CQR, of a system for on-line security assessment has been built and tested in conjunction with a western Pennsylvania utility. CQR is a hybrid of rule based programs written in OPS5 and numerical tools written in FORTRAN. CQR uses the utility's full power system model, accepts arbitrary operating conditions, evaluates the base case, evaluates a contingency list using distribution factors, selects and evaluates a small number of AC contingencies, makes an explicit assessment of power system security, and presents results to the operator in a compact and understandable report. Security is decomposed into components that are evaluated independently, allowing separate criteria to be applied to the base case and contingencies. Transient stability is dealt with through dynamically imposed operating limits. CQR's strong points are the correctness, consistency and compactness of its reports. Run times are acceptable for real time operation.

  6. Fuzzy logic applications to expert systems and control (United States)

    Lea, Robert N.; Jani, Yashvant


    A considerable amount of work on the development of fuzzy logic algorithms and application to space related control problems has been done at the Johnson Space Center (JSC) over the past few years. Particularly, guidance control systems for space vehicles during proximity operations, learning systems utilizing neural networks, control of data processing during rendezvous navigation, collision avoidance algorithms, camera tracking controllers, and tether controllers have been developed utilizing fuzzy logic technology. Several other areas in which fuzzy sets and related concepts are being considered at JSC are diagnostic systems, control of robot arms, pattern recognition, and image processing. It has become evident, based on the commercial applications of fuzzy technology in Japan and China during the last few years, that this technology should be exploited by the government as well as private industry for energy savings.

  7. SOFTM: a software maintenance expert system in Prolog

    DEFF Research Database (Denmark)

    Pau, L.; Negret, J. M.


    A description is given of a knowledge-based system called SOFTM, serving the following purposes: (1) assisting a software programmer or analyst in his application code maintenance tasks, (2) generating and updating automatically software correction documentation, (3) helping the end user register......-output, or procedural errors normally detected by the syntactic analyzer, compiler, or by the operating system environment. SOFTM relies on a unique ATN network-based code description, on diagnostic inference procedure based on context-based pattern classification, on maintenance log report generators...

  8. The Design and Implementation of an Intelligent Apparel Recommend Expert System

    Directory of Open Access Journals (Sweden)

    A. H. Dong


    Full Text Available Now with the rapid development of information science and technology, intelligent apparel recommend has drawn wide attention in apparel retail industry. Intelligent management and effective recommend are two issues of crucial importance for the retail store to enhance its corporate influence and increase its economic benefits. This paper proposes an intelligent recommend system design scheme for apparel retail which is based on expert system. By comprehensive utilization of database management and expert system technology, the proposed system provides a solid solution in improving the customer shopping experience. This paper presents a kind of object-oriented blackboard structure, which is applied in the apparel recommend expert system and establishes expert rule on the basis of apparel characteristic elements. Through the establishment of the rule base, the system generates personal recommend list by positive rule reasoning mechanism engine. The proposed method thus gives dress collocation scheme for the customer through the human-machine interaction from the point of view of the apparel experts. This design scheme avails the customers to experience targeted service with intellectualization, and personalization and it has certain reference significance for promoting apparel retail intelligence development.

  9. Identifying Experts and Authoritative Documents in Social Bookmarking Systems (United States)

    Grady, Jonathan P.


    Social bookmarking systems allow people to create pointers to Web resources in a shared, Web-based environment. These services allow users to add free-text labels, or "tags", to their bookmarks as a way to organize resources for later recall. Ease-of-use, low cognitive barriers, and a lack of controlled vocabulary have allowed social…

  10. An expert system based equipment diagnostics to | Olatunbosun ...

    African Journals Online (AJOL)

    This paper discusses the development of computerised maintenance software using Top-Down system design concept. The software was developed using objectoriented Visual Basic and Microsoft Access Software programming tools. The software package allows for the storage, processing, updating and retrieving of ...

  11. Intelligent neuro fuzzy expert system for autism recognition | Obi ...

    African Journals Online (AJOL)

    Autism is a brain disorder that is associated with a wide range of developmental problems, especially in communication, social interaction and unusual repetitive behavior. However, it is ... The proposed system which is self-learning and adaptive is able to handle the uncertainties often associated with the diagnosis and ...

  12. Fuzzy expert system for the intelligent recognition of cerebral palsy ...

    African Journals Online (AJOL)

    This study describes a fuzzy system for intelligent recognition and estimation of possibility of suffering from cerebral palsy (CP) in children between the ages of 3 months and 2 years. The hallmark symptoms of CP are disturbances of movement and/or posture which are manifested as failure to meet appropriate motor ...

  13. Development of an expert system in econometrics. Application to energy demand modelling; Construction d`un systeme expert en econometrie. Application a la demande d`energie

    Energy Technology Data Exchange (ETDEWEB)

    Fauveau, A.


    The proper use of econometric softwares requires both statistical and economic skills. The main objective of this thesis is to provide the users of regression programs with assistance in the process of regression analysis by means of expert system technology. We first built an expert system providing general econometric strategy. The running principle of the program is based on a ``estimation - hypothesis check - specification improvement`` cycle. Its econometric expertise is a consistent set of statistical technics and analysis rules for estimating one equation. Then, we considered the inclusion of the economic knowledge required to produce a consistent analysis; we focused on energy demand modelling. The economic knowledge base is independent from the econometric rules, this allow us to update it easily. (author).

  14. Expert systems and microwave communication systems alarms processing: A feasibility study

    Energy Technology Data Exchange (ETDEWEB)

    Tonn, B.; Goeltz, R.; Purucker, S.


    This report presents the results of a feasibility study conducted by Oak Ridge National Laboratory (ORNL) for the Bonneville Power Administration concerning the applicability of Artificial Intelligence (AI) technology to process alarms associated with Bonneville's Microwave Communication System (MCS). Specifically, the discussion focuses on the characteristics of a prototype expert system/database management system (DBMS) configuration capable of intelligently processing alarms, efficiently storing alarm-based historical data, and providing analysis and reporting tools. Such a system has the potential to improve response to critical alarms, increase the information content of a large volume of complicated data, free operators from performing routine analysis, and provide alarm information to operators, field personnel, and management through queries and automatically produced reports.

  15. Expert system applications in support of system diagnostics and prognostics at EBR-II

    Energy Technology Data Exchange (ETDEWEB)

    Lehto, W.K.; Gross, K.C. (Argonne National Lab., Idaho Falls, ID (USA); Argonne National Lab., IL (USA))


    Expert systems have been developed to aid in the monitoring and diagnostics of the Experimental Breeder Reactor-II (EBR-II) at the Idaho National Engineering Laboratory (INEL) in Idaho Falls, Idaho. Systems have been developed for failed fuel surveillance and diagnostics and reactor coolant pump monitoring and diagnostics. A third project is being done jointly by ANL-W and EG G Idaho to develop a transient analysis system to enhance overall plant diagnostic and prognostic capability. The failed fuel surveillance and diagnosis system monitors, processes, and interprets information from nine key plant sensors. It displays to the reactor operator diagnostic information needed to make proper decisions regarding technical specification conformance during reactor operation with failed fuel. 8 refs., 9 figs., 2 tabs.

  16. A Hybrid Model for Knowledge Acquisition in Expert Systems


    Mohamed A. Shouman; Mohamed G. Abou-Ali; Ayman M. Mostafa


    Information Systems (IS) are based upon data collected by means of questionnaires, interviews, and observation. Inexperienced researchers find questionnaires and interviews attractive as a data gathering methodology. Many researchers have discovered that it is not simple to draft a good questionnaire because their answers are very superficial and impact negatively on the research quality. This paper explores a Repertory Grid technique as an alternative method for gathering meaningful data. Al...

  17. An Expert System for Classifying Stars on the MK Spectral Classification System (United States)

    Corbally, Christopher J.; Gray, R. O.


    We will describe an expert computer system designed to classify stellar spectra on the MK Spectral Classification system employing methods similar to those of humans who make direct comparison with the MK classification standards. Like an expert human classifier, MKCLASS first comes up with a rough spectral type, and then refines that type by direct comparison with MK standards drawn from a standards library using spectral criteria appropriate to the spectral class. Certain common spectral-type peculiarities can also be detected by the program. The program is also capable of identifying WD spectra and carbon stars and giving appropriate (but currently approximate) spectral types on the relevant systems. We will show comparisons between spectral types (including luminosity types) performed by MKCLASS and humans. The program currently is capable of competent classifications in the violet-green region, but plans are underway to extend the spectral criteria into the red and near-infrared regions. Two standard libraries with resolutions of 1.8 and 3.6Å are now available, but a higher-resolution standard library, using the new spectrograph on the Vatican Advanced Technology Telescope, is currently under preparation. Once that library is available, MKCLASS and the spectral libraries will be made available to the astronomical community.

  18. Expert System for Bomb Factory Detection by Networks of Advance Sensors

    Directory of Open Access Journals (Sweden)

    Carlotta Ferrari


    Full Text Available (1 Background: Police forces and security administrations are nowadays considering Improvised explosives (IEs as a major threat. The chemical substances used to prepare IEs are called precursors, and their presence could allow police forces to locate a bomb factory where the on-going manufacturing of IEs is carried out. (2 Methods: An expert system was developed and tested in handling signals from a network of sensors, allowing an early warning. The expert system allows the detection of one precursor based on the signal provided by a single sensor, the detection of one precursor based on the signal provided by more than one sensor, and the production of a global alarm level based on data fusion from all the sensors of the network. (3 Results: The expert system was tested in the Italian Air Force base of Pratica di Mare (Italy and in the Swedish Defence Research Agency (FOI in Grindsjön (Sweden. (4 Conclusion: The performance of the expert system was successfully evaluated under relevant environmental conditions. The approach used in the development of the expert system allows maximum flexibility in terms of integration of the response provided by any sensor, allowing to easily include in the network all possible new sensors.

  19. The Generic Spacecraft Analyst Assistant (gensaa): a Tool for Developing Graphical Expert Systems (United States)

    Hughes, Peter M.


    During numerous contacts with a satellite each day, spacecraft analysts must closely monitor real-time data. The analysts must watch for combinations of telemetry parameter values, trends, and other indications that may signify a problem or failure. As the satellites become more complex and the number of data items increases, this task is becoming increasingly difficult for humans to perform at acceptable performance levels. At NASA GSFC, fault-isolation expert systems are in operation supporting this data monitoring task. Based on the lessons learned during these initial efforts in expert system automation, a new domain-specific expert system development tool named the Generic Spacecraft Analyst Assistant (GenSAA) is being developed to facilitate the rapid development and reuse of real-time expert systems to serve as fault-isolation assistants for spacecraft analysts. Although initially domain-specific in nature, this powerful tool will readily support the development of highly graphical expert systems for data monitoring purposes throughout the space and commercial industry.

  20. Expert Systems for United States Navy Shore Facilities Utility Operations. (United States)


    modifying the system. .. 2 𔃼’ .4.4 .4.,7 .4. TABLE 4 Characteristics of Available Microcomputers Typical CPU chips Op. Svs. Clock RAM Price 8-bit 8080 16-bit 80286 $30,000+ machines 32-bit 68020 UNIX 10-30 MHz 1-Mbytes $3000 to machines 80386 $30,000+ 32051 K = 1024 bytes M = 1024 x 1024 bytes...Speed for Some Prolog Implementations CPU Prolog Op. Svs. Speed* Machine Cost 16-bit micro-Prolog PC-DOS 240 $1,000 8088 32-bit NIP UNIX 2,500

  1. Chinese Acupuncture Expert System (CAES)-a useful tool to practice and learn medical acupuncture. (United States)

    Lam, Chi Fai David; Leung, Kwong Sak; Heng, Pheng Ann; Lim, Chi Eung Danforn; Wong, Felix Wu Shun


    This paper describes the development of a Chinese Acupuncture Expert System (CAES) that will assist the learning and practice of medical acupuncture. This was the development of a Chinese Acupuncture Expert System which incorporated eight functional modules. These modules were 1) Add Patient Record subsystem; 2) Diagnosis subsystem ; 3) Acupuncture Prescription subsystem ; 4) Needle Insertion Position Animation subsystem ; 5) Acupuncture Points Usage Statistic subsystem ; 6) History Query subsystem; 7) Acupuncture Points Query subsystem and 8) Diagnosis Remarks and Diagnosis Record Save subsystem. Two databases were built-Patient Record database and Diagnosis (Acupuncture) Knowledge database. All the Traditional Chinese Medicine (TCM) knowledge and acupuncture treatment prescriptions were extracted from officially used TCM textbooks and received guidance and expert advice from two acupuncturists working in this project. A Chinese Acupuncture Expert System (CAES) was built, which after the input from users of any Chinese disease symptoms and signs, it can provide a list of related TCM syndrome diagnoses based on the patients' disease symptoms and signs, and at the same time it can offer advice of the appropriate Chinese acupuncture treatment to the users. CAES also provided text descriptions and acupuncture animations showing the acupoint locations and the direction and depth of the needle insertion technique. Therefore users can easily learn acupuncture and practice it. This new acupuncture expert system will hopefully provide an easy way for users to learn and practice Chinese Acupuncture and establish its usefulness after it was fully evaluated.

  2. Methods of Analyzing Companies’ Performance in Accounting using Expert Systems

    Directory of Open Access Journals (Sweden)

    Veronica Grosu


    Full Text Available The company’s performance reflects its capacity of generating future cash-flows, by using existent resources, and the efficiency level in using new resources.The capacity of generating future cash-flows assumes that the company would have to book revenues of its activity, and the use of the existent resources needs a detailed overview of the expenses of the period. The revenues and expenses are elements strictly tied to the evaluation process of the company’s performance. This paper seeks to emphasize the efficiency level in using resources dependent on the profit (when the revenues are higher than the expenses, or on the loss (when the expenses are higher than the revenues, their first-step evaluation in the accounting process, so that the next step would evaluate them through a professional specific processing system, in order to lay out the economic result by efficiently binding the two methods.The current paper will analyze only the recognition and evaluation of companies’ revenues, with the help of the two criteria, when the revenues are higher than the expenses and therefore one will carry out an evaluation and analysis of the company’s performance in this particular field.

  3. Edusta 2011. Data processed Expert System for the Evaluation of Mast Security

    Directory of Open Access Journals (Sweden)

    Peter Lorenz


    Full Text Available The expert system EDUSTA 2011 is a new software solution designed to determinate the stability of mast-systems, like lamp-posts and anchor masts. The operators, mainly the municipalities and the cities but also operating companies at airports for instance, are responsible for the stability of there masts and the traffic safety.

  4. Design of a Fuzzy Rule Base Expert System to Predict and Classify ...

    African Journals Online (AJOL)

    The main objective of design of a rule base expert system using fuzzy logic approach is to predict and forecast the risk level of cardiac patients to avoid sudden death. In this proposed system, uncertainty is captured using rule base and classification using fuzzy c-means clustering is discussed to overcome the risk level, ...

  5. Expert methods in control systems of deep oil and gas holes building

    Energy Technology Data Exchange (ETDEWEB)

    Sementsov, G.; Fadeeva, I.; Chigur, I. [State Technical Univ. of Oil and Gas, Ivano-Frankivsk (Ukraine)


    Attempts to provide self-control of process of long holing on oil and gas have not given due effect owing to complication of object, it fuzzy and equivocation of the information. In this connection it is offered to use for management of drilling expert systems, which one use fuzzy models and methods of the theory of fuzzy control systems. (orig.)

  6. Online Search + Logic Programming = Subject Bibliography: An Expert Systems Approach to Bibliographic Processing. (United States)

    Lirov, Yuval; Lirov, Viktor


    Describes the development of a knowledge-based system, REX, that creates subject bibliographies by downloading reference material from an online bibliographic service. The expert systems architecture is explained, use of Prolog is described, and creation of the subject knowledge base and an author index are discussed. (10 references) (LRW)

  7. Using Ada to implement the operations management system in a community of experts (United States)

    Frank, M. S.


    An architecture is described for the Space Station Operations Management System (OMS), consisting of a distributed expert system framework implemented in Ada. The motivation for such a scheme is based on the desire to integrate the very diverse elements of the OMS while taking maximum advantage of knowledge based systems technology. Part of the foundation of an Ada based distributed expert system was accomplished in the form of a proof of concept prototype for the KNOMES project (Knowledge-based Maintenance Expert System). This prototype successfully used concurrently active experts to accomplish monitoring and diagnosis for the Remote Manipulator System. The basic concept of this software architecture is named ACTORS for Ada Cognitive Task ORganization Scheme. It is when one considers the overall problem of integrating all of the OMS elements into a cooperative system that the AI solution stands out. By utilizing a distributed knowledge based system as the framework for OMS, it is possible to integrate those components which need to share information in an intelligent manner.

  8. FaSTR DNA: a new expert system for forensic DNA analysis. (United States)

    Power, Timothy; McCabe, Brendan; Harbison, Sally Ann


    The automation of DNA profile analysis of reference and crime samples continues to gain pace driven in part by a realisation by the criminal justice system of the positive impact DNA technology can have in aiding in the solution of crime and the apprehension of suspects. Expert systems to automate the profile analysis component of the process are beginning to be developed. In this paper, we report the validation of a new expert system FaSTR DNA, an expert system suitable for the analysis of DNA profiles from single source reference samples and from crime samples. We compare the performance of FaSTR DNA with that of other equivalent systems, GeneMapper ID v3.2 (Applied Biosystems, Foster City, CA) and FSS-i(3) v4 (The Forensic Science Service((R)) DNA expert System Suite FSS-i(3), Forensic Science Service, Birmingham, UK) with GeneScan Analysis v3.7/Genotyper v3.7 software (Applied Biosystems, Foster City, CA, USA) with manual review. We have shown that FaSTR DNA provides an alternative solution to automating DNA profile analysis and is appropriate for implementation into forensic laboratories. The FaSTR DNA system was demonstrated to be comparable in performance to that of GeneMapper ID v3.2 and superior to that of FSS-i(3) v4 for the analysis of DNA profiles from crime samples.

  9. Using a blackboard architecture or expert system to identify obfuscated targets from symptoms (United States)

    Straub, Jeremy


    A variety of techniques exist for enhancing or inferring the existence and characteristics of an obscured or partially concealed target. Targets, however, may be completely blocked from view, presenting nothing to enhance and no image area to extend inferentially. Despite the difficulty, concealed (particularly intentionally) targets may be the most important to detect. This paper proposes a technique for using a Blackboard Architecture or Expert system to infer a target's existence from symptoms (maneuvers of other units, water and soil deformation, etc.) and discusses the differences between the two approaches (Blackboard Architecture and expert system) for doing so.

  10. Complex method to calculate objective assessments of information systems protection to improve expert assessments reliability (United States)

    Abdenov, A. Zh; Trushin, V. A.; Abdenova, G. A.


    The paper considers the questions of filling the relevant SIEM nodes based on calculations of objective assessments in order to improve the reliability of subjective expert assessments. The proposed methodology is necessary for the most accurate security risk assessment of information systems. This technique is also intended for the purpose of establishing real-time operational information protection in the enterprise information systems. Risk calculations are based on objective estimates of the adverse events implementation probabilities, predictions of the damage magnitude from information security violations. Calculations of objective assessments are necessary to increase the reliability of the proposed expert assessments.

  11. NEUREX: a tutorial expert system for the diagnosis of neurogenic diseases of the lower limbs. (United States)

    Starita, A; Majidi, D; Giordano, A; Battaglia, M; Cioni, R


    Specialist tutors have to transfer two types of knowledge to doctors who are specialising in a particular clinic: public declarative knowledge, including facts, notions, principles in that particular field; and their own private procedural knowledge acquired in years of direct experience. Embodying this knowledge into an expert system means that this information can be shared more rapidly, and tutoring is easier. This paper presents a tutorial expert system for neurological clinics which can emulate the diagnostic process of an expert neurologist for neurogenic diseases of the lower limbs, assist users in planning the optimal sequence of NG and EMG tests, interpret the results of these tests, and help users to achieve the most suitable diagnosis.

  12. Assessment of an expert system for the automated validation of electrophoretic profiles. (United States)

    Dorizzi, Romolo M; Zanardi, Valerio; Agnoletti, Riziero; Alberelli, Anna; Babini, Alessandra; De Vita, Paolo


    The Core-lab of the Greater Romagna Area Hub Laboratory carries out about 250,000 capillary electrophoresis assays/year. The huge workload demands the assessing of an Experimental Expert System (EES) capable to sort out the negative samples. Capillarys 2 analyzer has been employed coupled with an EES (based on five simple rules) integrated with the electrophoretic test management software PhoresisCore for assessing the entire workload of a week (5,683 samples). The classification was compared with that of two expert laboratorians. The expert system automatically classified 2974 profiles as negative and no positive samples were erroneously classified as negative (negative predictive value: 100%). The EES sensitivity was 100% and the FTE required for the validation was reduced from 1.26 to 0.63. The EES could be easily implemented in routine activity embedded in a middleware or directly running in the analyzer improving the workflow.

  13. An expert system for ranking companies and investments: wood industry case

    Directory of Open Access Journals (Sweden)

    Hliadis Lazaros


    Full Text Available Wood industry is a very important part of both the Greek Rural and industrial sector. The discovery of the differentiation in the level of growth and in the quality of financial management between the Greek wood companies can provide very important aid in the design of an effective rural development policy. The evaluation and ranking of Greek wood companies based on actual financial data is a very complicated task and it requires expertise knowledge and skills. On the other hand a computer expert system can perform validation and evaluation in an efficient way and can substitute human experts. An expert system was designed and developed towards this direction. It uses multicriteria analysis for each one of the wood companies based on actual financial data and it applies fundamental principles of fuzzy logic in order to calculate the expected intervals of flows for the following years. .

  14. Intelligent technology for construction of tutoring integrated expert systems: new aspects

    Directory of Open Access Journals (Sweden)

    Galina V. Rybina


    Full Text Available The main aim of this paper is to acquaint readers of the journal “Open Education” with the accumulated experience of construction and practical use in the educational process of Cybernetics Department of the National Research Nuclear University MEPhI of a special class of intelligent tutoring systems, based on the architectures of tutoring integrated expert systems. The development is carried out on the problem-oriented methodology basis and intelligent software environment of AT-TECHNOLOGY workbench. They provide automation of support of all the stages of construction and maintenance of the life cycle of such systems.In the context of basic models, methods, algorithms and tools that implement the conceptual foundations of a problem-oriented methodology, and which are evolutionarily developed and experimentally investigated in the process of constructing various architectures of training integrated expert systems, including webbased ones, some features of the generalized model of intellectual learning and its components are considered (in particular, the competence-based model of the trainee, the adaptive tutoring model, the ontology model of the course /discipline et al. as well as methods and means of their realization in the current versions of tutoring integrated expert systems.In current versions of tutoring integrated expert systems examples of implementation of typical intelligent tutoring problems are described for the generalized ontology “Intelligent systems and technologies” (individual planning of the method of studying the training course, intelligent analysis of training tasks, intelligent support for decision making.A brief description of the conceptual foundations of the model of the intelligent software environment of the AT-TECHNOLOGY workbench is given and a description of some components of the model is presented with a focus on the basic components – intelligent planner, standard design procedures and reusable

  15. Integrating conventional classifiers with a GIS expert system to increase the accuracy of invasive species mapping (United States)

    Masocha, Mhosisi; Skidmore, Andrew K.


    Mapping the cover of invasive species using remotely sensed data alone is challenging, because many invaders occur as mid-level canopy species or as subtle understorey species and therefore contribute little to the spectral signatures captured by passive remote sensing devices. In this study, two common non-parametric classifiers namely, the neural network and support vector machine were used to map four cover classes of the invasive shrub Lantana camara in a protected game reserve and the adjacent area under communal land management in Zimbabwe. These classifiers were each combined with a geographic information system (GIS) expert system, in order to test whether the new hybrid classifiers yielded significantly more accurate invasive species cover maps than the single classifiers. The neural network, when used on its own, mapped the cover of L. camara with an overall accuracy of 71% and a Kappa index of agreement of 0.61. When the neural network was combined with an expert system, the overall accuracy and Kappa index of agreement significantly increased to 83% and 0.77, respectively. Similarly, the support vector machine achieved an overall accuracy of 64% with a Kappa index of agreement of 0.52, whereas the hybrid support vector machine and expert system classifier achieved a significantly higher overall accuracy of 76% and a Kappa index of agreement of 0.67. These results suggest that integrating conventional image classifiers with an expert system increases the accuracy of invasive species mapping.

  16. The Use of Web Based Expert System Application for Identification and Intervention of Children with Special Needs in Inclusive School

    Directory of Open Access Journals (Sweden)

    Dian Atnantomi Wiliyanto


    Full Text Available This research is conducted to determine the effectiveness of web based expert system application for identification and intervention of children with special needs in inclusive school. 40 teachers of inclusive school in Surakarta participated in this research. The result showed that: (1 web based expert system application was suitable with the needs of teachers/officers, had 50% (excellence criteria, (2 web based expert system application was worthwhile for identification of children with special needs, had 50% (excellence criteria, (3 web based expert system application was easy to use, had 52.5% (good criteria, and (4 web based expert system application had result accuracy in making decision, had 52.5% (good criteria. It shows that the use of web based expert system application is effective to be used by teachers in inclusive school in conducting identification and intervention with percentage on average was more than 50%.

  17. International recommendations for national patient safety incident reporting systems: an expert Delphi consensus-building process. (United States)

    Howell, Ann-Marie; Burns, Elaine M; Hull, Louise; Mayer, Erik; Sevdalis, Nick; Darzi, Ara


    Patient safety incident reporting systems (PSRS) have been established for over a decade, but uncertainty remains regarding the role that they can and ought to play in quantifying healthcare-related harm and improving care. To establish international, expert consensus on the purpose of PSRS regarding monitoring and learning from incidents and developing recommendations for their future role. After a scoping review of the literature, semi-structured interviews with experts in PSRS were conducted. Based on these findings, a survey-based questionnaire was developed and subsequently completed by a larger expert panel. Using a Delphi approach, consensus was reached regarding the ideal role of PSRSs. Recommendations for best practice were devised. Forty recommendations emerged from the Delphi procedure on the role and use of PSRS. Experts agreed reporting system should not be used as an epidemiological tool to monitor the rate of harm over time or to appraise the relative safety of hospitals. They agreed reporting is a valuable mechanism for identifying organisational safety needs. The benefit of a national system was clear with respect to medication error, device failures, hospital-acquired infections and never events as these problems often require solutions at a national level. Experts recommended training for senior healthcare professionals in incident investigation. Consensus recommendation was for hospitals to take responsibility for creating safety solutions locally that could be shared nationally. We obtained reasonable consensus among experts on aims and specifications of PSRS. This information can be used to reflect on existing and future PSRS, and their role within the wider patient safety landscape. The role of PSRS as instruments for learning needs to be elaborated and developed further internationally. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to

  18. An Application of Expert System For Diagnozing Endoparsitism Gastrointestinal Disease In Livestock Animals

    Directory of Open Access Journals (Sweden)

    Rusdi Efendi


    Full Text Available Abstract The goal of this research is to make an expert system as a tool for diagnozing endoparsitism gastrointestinal disease for cows and sheep. The knowledge base of the system has been acquired from some interviews with some doctors from the internal diseases animal's unit at Animal's Hospital, Gadjah Mada University Jogjakarta, some text books, journals, and research papers. The inference machine of the system uses Forward Chaining and uncertainty data methods using Dempster-Shafer Theory. The system has a consultation session with an interactive dialog that can be used by the users. A user gives information such as user's data, and answers the questions about the endoparsitism gastrointestinal symptoms that might be had by his animal. From the answers, the system computes the possibility of the animal to suffer from endoparsitism gastrointestinal, informs the life cycle parasites, and suggests a therapy for it. Keywords : Expert System, diagnoze, endoparsitism gastrointestinal disease, Forward chaining method, Dempster-Shafer Teary

  19. Spacelab data processing facility (SLDPF) Quality Assurance (QA)/Data Accounting (DA) expert systems: Transition from prototypes to operational systems (United States)

    Basile, Lisa


    The SLDPF is responsible for the capture, quality monitoring processing, accounting, and shipment of Spacelab and/or Attached Shuttle Payloads (ASP) telemetry data to various user facilities. Expert systems will aid in the performance of the quality assurance and data accounting functions of the two SLDPF functional elements: the Spacelab Input Processing System (SIPS) and the Spacelab Output Processing System (SOPS). Prototypes were developed for each as independent efforts. The SIPS Knowledge System Prototype (KSP) used the commercial shell OPS5+ on an IBM PC/AT; the SOPS Expert System Prototype used the expert system shell CLIPS implemented on a Macintosh personal computer. Both prototypes emulate the duties of the respective QA/DA analysts based upon analyst input and predetermined mission criteria parameters, and recommended instructions and decisions governing the reprocessing, release, or holding for further analysis of data. These prototypes demonstrated feasibility and high potential for operational systems. Increase in productivity, decrease of tedium, consistency, concise historial records, and a training tool for new analyses were the principal advantages. An operational configuration, taking advantage of the SLDPF network capabilities, is under development with the expert systems being installed on SUN workstations. This new configuration in conjunction with the potential of the expert systems will enhance the efficiency, in both time and quality, of the SLDPF's release of Spacelab/AST data products.

  20. Knowledge-Based Expert System Development and Validation with Petri Nets


    Madjid Tavana


    Expert systems (ESs) are complex information systems that are expensive to build and difficult to validate. Numerous knowledge representation strategies such as rules, semantic networks, frames, objects and logical expressions are developed to provide high-level abstraction of a system. Rules are the most commonly used form of knowledge representation and they are derived from popular techniques such as decision trees and decision tables. Despite their huge popularity, decision trees and deci...

  1. Induced seismicity hazard and risk by enhanced geothermal systems: an expert elicitation approach


    Trutnevyte, Evelina; Azevedo, Ines L


    Induced seismicity is a concern for multiple geoenergy applications, including low-carbon Enhanced Geothermal Systems (EGS). We present results of an international expert elicitation (N=14) on EGS induced seismicity hazard and risk. Using a hypothetical scenario of an EGS plant and its geological context, we show that expert best-guess estimates of annualized exceedance probabilities of a M≥3 event range from 0.2% to 95% during reservoir stimulation and 0.2% to 100% during operation. Best-gue...

  2. Students as Expert System Developers: A Means of Eliciting and Understanding Commonsense Reasoning. (United States)

    Law, Nancy; Ogborn, Jon


    Discussion of learners' prior knowledge focuses on a method for exploring common-sense reasoning by engaging secondary school students in the development of an expert system representing their own intuitive expertise. Students' intuitive concerns are discussed; patterns of reasoning are examined; and epistemic planes are described. (23 references)…

  3. Cloud-Based Environmental Impact Assessment Expert System – A Case Study of Fiji


    Sam Goundar


    Environmental impact assessments [EIA] involve identifying, measuring, and assessing impacts. This complex process deals with considerable amount of information and requires processing and analysis of quantitative data, qualitative information as well as expert human judgements. Often, available information is incomplete, subjective, and inconsistent. This challenge of collecting, processing, analyzing, and reporting EIA information can be met by computer systems. A Cloud-based Environmental ...


    National Research Council Canada - National Science Library

    Nebojša Rašović; Adisa Vučina; Milenko Obad


    ...: CAD, expert system, additive technology, reverse engineering INTRODUCTION The design process requires multiple phases of the product development[1]. The new parts, configurations and assemblies are presented by some kind of rules, equations and schemes. Each one represents something new and unique [2]. Different approaches have been taken with the ai...

  5. Potential applications of expert systems and operations research to space station logistics functions (United States)

    Lippiatt, Thomas F.; Waterman, Donald


    The applicability of operations research, artificial intelligence, and expert systems to logistics problems for the space station were assessed. Promising application areas were identified for space station logistics. A needs assessment is presented and a specific course of action in each area is suggested.

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

    Energy Technology Data Exchange (ETDEWEB)

    Bayrakal, Suna [Iowa State Univ., Ames, IA (United States)


    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.

  7. Evaluation of using expert system features in information retrieval in Iranian digital library software

    Directory of Open Access Journals (Sweden)

    Farzad Shahbazi


    Originality/Value: The research prepared a checklist for evaluation of Digital Library software’s in expert systems context. Also the funded results can be helpful for the software providers to resolve the weakness and reinforce the strengths of software’s.

  8. An expert system for estimating production rates and costs for hardwood group-selection harvests (United States)

    Chris B. LeDoux; B. Gopalakrishnan; R. S. Pabba


    As forest managers shift their focus from stands to entire ecosystems alternative harvesting methods such as group selection are being used increasingly. Results of several field time and motion studies and simulation runs were incorporated into an expert system for estimating production rates and costs associated with harvests of group-selection units of various size...

  9. FOREX - an expert system for managing even-aged upland oak forests on steep terrain (United States)

    Chris B. LeDoux; B. Gopalakrishnan; K. Lankalapalli


    An expert system, FOREX, was developed to access the data from the database management provided by MANAGE. For a specific site index, the user of FOREX can obtain information on present net worth, optimal thinning entry timing, optimal stand rotation age, diameter at breast height, volume by grade and value of the trees harvested, and based on the cable yarder used,...

  10. The Advantages of Abstract Control Knowledge in Expert System Design. Technical Report #7. (United States)

    Clancey, William J.

    This paper argues that an important design principle for building expert systems is to represent all control knowledge abstractly and separately from the domain knowledge upon which it operates. Abstract control knowledge is defined as the specifications of when and how a program is to carry out its operations, such as pursuing a goal, focusing,…

  11. Causal Systems Categories: Differences in Novice and Expert Categorization of Causal Phenomena (United States)

    Rottman, Benjamin M.; Gentner, Dedre; Goldwater, Micah B.


    We investigated the understanding of causal systems categories--categories defined by common causal structure rather than by common domain content--among college students. We asked students who were either novices or experts in the physical sciences to sort descriptions of real-world phenomena that varied in their causal structure (e.g., negative…

  12. Expert Meeting Report. Recommendations for Applying Water Heaters in Combination Space and Domestic Water Heating Systems

    Energy Technology Data Exchange (ETDEWEB)

    Rudd, A. [Building Science Corporation (BSC), Somerville, MA (United States); Ueno, K. [Building Science Corporation (BSC), Somerville, MA (United States); Bergey, D. [Building Science Corporation (BSC), Somerville, MA (United States); Osser, R. [Building Science Corporation (BSC), Somerville, MA (United States)


    This Building America expert meeting was held on 7/31/2011, in Westford, Massachusetts. Presentations and discussions centered on the design, performance, and maintenance of these combination systems, with the goal of developing foundational information toward the development of a Building America Measure Guideline on this topic.

  13. Collaborative update of a rule-based expert system for HIV-1 genotypic resistance test interpretation

    NARCIS (Netherlands)

    Paredes, Roger; Tzou, Philip L.; van Zyl, Gert; Barrow, Geoff; Camacho, Ricardo; Carmona, Sergio; Grant, Philip M.; Gupta, Ravindra K.; Hamers, Raph L.; Harrigan, P. Richard; Jordan, Michael R.; Kantor, Rami; Katzenstein, David A.; Kuritzkes, Daniel R.; Maldarelli, Frank; Otelea, Dan; Wallis, Carole L.; Schapiro, Jonathan M.; Shafer, Robert W.


    HIV-1 genotypic resistance test (GRT) interpretation systems (IS) require updates as new studies on HIV-1 drug resistance are published and as treatment guidelines evolve. An expert panel was created to provide recommendations for the update of the Stanford HIV Drug Resistance Database (HIVDB)

  14. A development process meta-model for Web based expert systems: The Web engineering point of view

    DEFF Research Database (Denmark)

    Dokas, I.M.; Alapetite, Alexandre


    raised their complexity. Unfortunately, there is so far no clear answer to the question: How may the methods and experience of Web engineering and expert systems be combined and applied in order todevelop effective and successful Web based expert systems? In an attempt to answer this question......, a development process meta-model for Web based expert systems will be presented. Based on this meta-model, a publicly available Web based expert systemcalled Landfill Operation Management Advisor (LOMA) was developed. In addition, the results of an accessibility evaluation on LOMA – the first ever reported...... on Web based expert systems – will be presented. The idea behind the presentation of theaccessibility evaluation and its conclusions is to show to Web based expert system developers, who typically have little Web engineering background, that Web engineering issues must be considered when developing Web...

  15. New screening system for unruptured cerebral aneurysms; Combination of an expert system and DSA examination

    Energy Technology Data Exchange (ETDEWEB)

    Samejima, Hirotsugu; Ushikubo, Yukio; Mizokami, Toru (Toho Univ., Tokyo (Japan). School of Medicine) (and others)


    We have designed a screening system to diagnose unruptured aneurysms, including the use of digital subtraction angiography (DSA). We surveyed 115 patients who had undergone clipping procedures after subarachnoid hemorrhage (SAH) and questioned them with regard to the subjective symptoms. Sixty-eight of 92 patients who returned the questionnaire reported, prior to rupture, headache,eye pain, and neck pain most frequently, and also impairment of extraocular movements, ptosis, visual field defects, and motor and sensory disturbances. Nineteen (47.5%) of 40 patients who had complete pain relief after surgery complained of headache from 1 week to 1 month before SAH. In addition, nine patients (22.5%) complained of headache for several years, and were also pain-free after surgery. For the indication of DSA, we employed an expert system based on fuzzy set theory. Seven groups of parameters are: Group 1, a basic questionnaire concerning age, sex, and past and family histories; Group 2, 15 warning signs selected on the basis of retrospective study; and Groups 3-7, detailed questions concerning each sign. Scoring weights assigned to each condition based on the results of the retrospective study, and threshold values were determined by several neurosurgeons. The certainty factors for intermediate hypotheses were calculated from these weights and threshold values and summed up, from which the conclusion was obtained. Twelve new cases of unruptured cerebral aneurysm were diagnosed using this screening system. This system may improve the ability to diagnose cerebral aneurysms before rupture. (author).

  16. The blackboard model - A framework for integrating multiple cooperating expert systems (United States)

    Erickson, W. K.


    The use of an artificial intelligence (AI) architecture known as the blackboard model is examined as a framework for designing and building distributed systems requiring the integration of multiple cooperating expert systems (MCXS). Aerospace vehicles provide many examples of potential systems, ranging from commercial and military aircraft to spacecraft such as satellites, the Space Shuttle, and the Space Station. One such system, free-flying, spaceborne telerobots to be used in construction, servicing, inspection, and repair tasks around NASA's Space Station, is examined. The major difficulties found in designing and integrating the individual expert system components necessary to implement such a robot are outlined. The blackboard model, a general expert system architecture which seems to address many of the problems found in designing and building such a system, is discussed. A progress report on a prototype system under development called DBB (Distributed BlackBoard model) is given. The prototype will act as a testbed for investigating the feasibility, utility, and efficiency of MCXS-based designs developed under the blackboard model.

  17. An expert system for integrated structural analysis and design optimization for aerospace structures (United States)


    The results of a research study on the development of an expert system for integrated structural analysis and design optimization is presented. An Object Representation Language (ORL) was developed first in conjunction with a rule-based system. This ORL/AI shell was then used to develop expert systems to provide assistance with a variety of structural analysis and design optimization tasks, in conjunction with procedural modules for finite element structural analysis and design optimization. The main goal of the research study was to provide expertise, judgment, and reasoning capabilities in the aerospace structural design process. This will allow engineers performing structural analysis and design, even without extensive experience in the field, to develop error-free, efficient and reliable structural designs very rapidly and cost-effectively. This would not only improve the productivity of design engineers and analysts, but also significantly reduce time to completion of structural design. An extensive literature survey in the field of structural analysis, design optimization, artificial intelligence, and database management systems and their application to the structural design process was first performed. A feasibility study was then performed, and the architecture and the conceptual design for the integrated 'intelligent' structural analysis and design optimization software was then developed. An Object Representation Language (ORL), in conjunction with a rule-based system, was then developed using C++. Such an approach would improve the expressiveness for knowledge representation (especially for structural analysis and design applications), provide ability to build very large and practical expert systems, and provide an efficient way for storing knowledge. Functional specifications for the expert systems were then developed. The ORL/AI shell was then used to develop a variety of modules of expert systems for a variety of modeling, finite element analysis, and

  18. SESAM-DIABETE, an expert system for insulin-requiring diabetic patient education. (United States)

    Levy, M; Ferrand, P; Chirat, V


    SESAM-DIABETE is an interactive educational expert system that provides personalized advice and therapeutic recommendations for insulin-requiring diabetic patients. Because of its sophisticated explanation facilities, this system is intended to complete the more traditional educational tools for diabetic patients. It has been developed using an original essential expert system, namely SESAM, itself implemented in an upper-layer of Lisp, MBX. Its control structure uses a top-down strategy to solve a problem; i.e., it decomposes the current problem into subproblems easier to solve, this method being recursively applied to each subproblem. All information about patients is kept in a Patient Medical Record, which allows their follow-up. This system is currently available from their home for selected patients through the French telematic network TELETEL and is under clinical evaluation.

  19. Developing Expert System for Tuberculosis Diagnose to Support Knowledge Sharing in the Era of National Health Insurance System (United States)

    Lidya, L.


    National Health Insurance has been implemented since 1st January 2014. A number of new policies have been established including multilevel referral system. The multilevel referral system classified health care center into three levels, it determined that the flow of patient treatment should be started from first level health care center. There are 144 kind of diseases that must be treat in the first level which mainly consists of general physicians. Unfortunately, competence of the physician in the first level may not fulfil the standard competence yet. To improved the physisians knowledge, government has created many events to accelerate knowledge sharing. However, it still needs times and many resources to give significan results. Expert system is kind of software that provide consulting services to non-expert users in accordance with the area of its expertise. It can improved effectivity and efficiency of knowledge sharing and learning. This research was developed a model of TB diagnose expert system which comply with the standard procedure of TB diagnosis and regulation. The proposed expert system has characteristics as follows provide facility to manage multimedia clinical data, supporting the complexity of TB diagnosis (combine rule-based and case-based expert system), interactive interface, good usability, multi-platform, evolutionary.

  20. An Expert System for Diagnosis of Sleep Disorder Using Fuzzy Rule-Based Classification Systems (United States)

    Septem Riza, Lala; Pradini, Mila; Fitrajaya Rahman, Eka; Rasim


    Sleep disorder is an anomaly that could cause problems for someone’ sleeping pattern. Nowadays, it becomes an issue since people are getting busy with their own business and have no time to visit the doctors. Therefore, this research aims to develop a system used for diagnosis of sleep disorder using Fuzzy Rule-Based Classification System (FRBCS). FRBCS is a method based on the fuzzy set concepts. It consists of two steps: (i) constructing a model/knowledge involving rulebase and database, and (ii) prediction over new data. In this case, the knowledge is obtained from experts whereas in the prediction stage, we perform fuzzification, inference, and classification. Then, a platform implementing the method is built with a combination between PHP and the R programming language using the “Shiny” package. To validate the system that has been made, some experiments have been done using data from a psychiatric hospital in West Java, Indonesia. Accuracy of the result and computation time are 84.85% and 0.0133 seconds, respectively.

  1. A baseline expert control system for marine gas turbine compressor surge


    Davitt, James A.


    Approved for public release; distribution is unlimited United States Navy gas turbine ships are in need of casualty control system updating to reduce demanding conditions on engineering watch standers, to increase equipment longevity, and reduce operating costs. This thesis presents a baseline computer-based expert system controller concept developed for the critical casualty control problem of gas turbine compressor surge. The controller design rests on the building-block components of re...

  2. A software system to collect expert relevance ratings of medical record items for specific clinical tasks. (United States)

    Harvey, H Benjamin; Krishnaraj, Arun; Alkasab, Tarik K


    Development of task-specific electronic medical record (EMR) searches and user interfaces has the potential to improve the efficiency and safety of health care while curbing rising costs. The development of such tools must be data-driven and guided by a strong understanding of practitioner information requirements with respect to specific clinical tasks or scenarios. To acquire this important data, this paper describes a model by which expert practitioners are leveraged to identify which components of the medical record are most relevant to a specific clinical task. We also describe the computer system that was created to efficiently implement this model of data gathering. The system extracts medical record data from the EMR of patients matching a given clinical scenario, de-identifies the data, breaks the data up into separate medical record items (eg, radiology reports, operative notes, laboratory results, etc), presents each individual medical record item to experts under the hypothetical of the given clinical scenario, and records the experts' ratings regarding the relevance of each medical record item to that specific clinical scenario or task. After an iterative process of data collection, these expert relevance ratings can then be pooled and used to design point-of-care EMR searches and user interfaces tailored to the task-specific needs of practitioners.

  3. An on-line expert system for diagnosing environmentally induced spacecraft anomalies using CLIPS (United States)

    Lauriente, Michael; Rolincik, Mark; Koons, Harry C; Gorney, David


    A new rule-based, expert system for diagnosing spacecraft anomalies is under development. The knowledge base consists of over two-hundred rules and provide links to historical and environmental databases. Environmental causes considered are bulk charging, single event upsets (SEU), surface charging, and total radiation dose. The system's driver translates forward chaining rules into a backward chaining sequence, prompting the user for information pertinent to the causes considered. The use of heuristics frees the user from searching through large amounts of irrelevant information (varying degrees of confidence in an answer) or 'unknown' to any question. The expert system not only provides scientists with needed risk analysis and confidence estimates not available in standard numerical models or databases, but it is also an effective learning tool. In addition, the architecture of the expert system allows easy additions to the knowledge base and the database. For example, new frames concerning orbital debris and ionospheric scintillation are being considered. The system currently runs on a MicroVAX and uses the C Language Integrated Production System (CLIPS).

  4. Computer expert system for spectral line simulation and selection in inductively coupled plasma atomic emission spectrometry (United States)

    Yang, Pengyuan; Ying, Hai; Wang, Xiaoru; Huang, Benli


    This paper is an electronic publication in Spectrochimica Acta Electronica (SAE), the electronic section of Spectrochimica Acta, Part B (SAB). This hardcopy text, comprising the main body and an appendix, is accompanied by a disk with programs, data files and a brief manual. The main body discusses purpose, design principle and usage of the computer software for the inductively coupled plasma atomic emission spectrometry (ICP-AES) expert system. The appendix provides a brief instruction on the manipulation of the demonstration program and relevant information on accessing the diskette. The computer software of the expert system has been developed in C++ language to simulate spectra and to select analytical lines in ICP-AES. This expert system is based on a comprehensive model of non-LTE ICP-AES, which includes expertise in plasma discharges, analyte ionization and excitation, and spectral-line shapes. The system also provides several databases in which essential elemental and spectral data are stored. A logic reasoning engine is utilized for selection of the best analytical line with a main criterion of minimizing the true detection limit. The system is user-friendly with pop-up menus, an editor for database operation, and a graphic interface for the display of simulated spectra. The system can simulate spectra and predict spectral interferences with good accuracy.

  5. Collaborative update of a rule-based expert system for HIV-1 genotypic resistance test interpretation. (United States)

    Paredes, Roger; Tzou, Philip L; van Zyl, Gert; Barrow, Geoff; Camacho, Ricardo; Carmona, Sergio; Grant, Philip M; Gupta, Ravindra K; Hamers, Raph L; Harrigan, P Richard; Jordan, Michael R; Kantor, Rami; Katzenstein, David A; Kuritzkes, Daniel R; Maldarelli, Frank; Otelea, Dan; Wallis, Carole L; Schapiro, Jonathan M; Shafer, Robert W


    HIV-1 genotypic resistance test (GRT) interpretation systems (IS) require updates as new studies on HIV-1 drug resistance are published and as treatment guidelines evolve. An expert panel was created to provide recommendations for the update of the Stanford HIV Drug Resistance Database (HIVDB) GRT-IS. The panel was polled on the ARVs to be included in a GRT report, and the drug-resistance interpretations associated with 160 drug-resistance mutation (DRM) pattern-ARV combinations. The DRM pattern-ARV combinations included 52 nucleoside RT inhibitor (NRTI) DRM pattern-ARV combinations (13 patterns x 4 NRTIs), 27 nonnucleoside RT inhibitor (NNRTI) DRM pattern-ARV combinations (9 patterns x 3 NNRTIs), 39 protease inhibitor (PI) DRM pattern-ARV combinations (13 patterns x 3 PIs) and 42 integrase strand transfer inhibitor (INSTI) DRM pattern-ARV combinations (14 patterns x 3 INSTIs). There was universal agreement that a GRT report should include the NRTIs lamivudine, abacavir, zidovudine, emtricitabine, and tenofovir disoproxil fumarate; the NNRTIs efavirenz, etravirine, nevirapine, and rilpivirine; the PIs atazanavir/r, darunavir/r, and lopinavir/r (with "/r" indicating pharmacological boosting with ritonavir or cobicistat); and the INSTIs dolutegravir, elvitegravir, and raltegravir. There was a range of opinion as to whether the NRTIs stavudine and didanosine and the PIs nelfinavir, indinavir/r, saquinavir/r, fosamprenavir/r, and tipranavir/r should be included. The expert panel members provided highly concordant DRM pattern-ARV interpretations with only 6% of NRTI, 6% of NNRTI, 5% of PI, and 3% of INSTI individual expert interpretations differing from the expert panel median by more than one resistance level. The expert panel median differed from the HIVDB 7.0 GRT-IS for 20 (12.5%) of the 160 DRM pattern-ARV combinations including 12 NRTI, two NNRTI, and six INSTI pattern-ARV combinations. Eighteen of these differences were updated in HIVDB 8.1 GRT-IS to reflect the

  6. Collaborative update of a rule-based expert system for HIV-1 genotypic resistance test interpretation.

    Directory of Open Access Journals (Sweden)

    Roger Paredes

    Full Text Available HIV-1 genotypic resistance test (GRT interpretation systems (IS require updates as new studies on HIV-1 drug resistance are published and as treatment guidelines evolve.An expert panel was created to provide recommendations for the update of the Stanford HIV Drug Resistance Database (HIVDB GRT-IS. The panel was polled on the ARVs to be included in a GRT report, and the drug-resistance interpretations associated with 160 drug-resistance mutation (DRM pattern-ARV combinations. The DRM pattern-ARV combinations included 52 nucleoside RT inhibitor (NRTI DRM pattern-ARV combinations (13 patterns x 4 NRTIs, 27 nonnucleoside RT inhibitor (NNRTI DRM pattern-ARV combinations (9 patterns x 3 NNRTIs, 39 protease inhibitor (PI DRM pattern-ARV combinations (13 patterns x 3 PIs and 42 integrase strand transfer inhibitor (INSTI DRM pattern-ARV combinations (14 patterns x 3 INSTIs.There was universal agreement that a GRT report should include the NRTIs lamivudine, abacavir, zidovudine, emtricitabine, and tenofovir disoproxil fumarate; the NNRTIs efavirenz, etravirine, nevirapine, and rilpivirine; the PIs atazanavir/r, darunavir/r, and lopinavir/r (with "/r" indicating pharmacological boosting with ritonavir or cobicistat; and the INSTIs dolutegravir, elvitegravir, and raltegravir. There was a range of opinion as to whether the NRTIs stavudine and didanosine and the PIs nelfinavir, indinavir/r, saquinavir/r, fosamprenavir/r, and tipranavir/r should be included. The expert panel members provided highly concordant DRM pattern-ARV interpretations with only 6% of NRTI, 6% of NNRTI, 5% of PI, and 3% of INSTI individual expert interpretations differing from the expert panel median by more than one resistance level. The expert panel median differed from the HIVDB 7.0 GRT-IS for 20 (12.5% of the 160 DRM pattern-ARV combinations including 12 NRTI, two NNRTI, and six INSTI pattern-ARV combinations. Eighteen of these differences were updated in HIVDB 8.1 GRT-IS to reflect

  7. A novel AIDS/HIV intelligent medical consulting system based on expert systems. (United States)

    Ebrahimi, Alireza Pour; Toloui Ashlaghi, Abbas; Mahdavy Rad, Maryam


    The purpose of this paper is to propose a novel intelligent model for AIDS/HIV data based on expert system and using it for developing an intelligent medical consulting system for AIDS/HIV. In this descriptive research, 752 frequently asked questions (FAQs) about AIDS/HIV are gathered from numerous websites about this disease. To perform the data mining and extracting the intelligent model, the 6 stages of Crisp method has been completed for FAQs. The 6 stages include: Business understanding, data understanding, data preparation, modelling, evaluation and deployment. C5.0 Tree classification algorithm is used for modelling. Also, rational unified process (RUP) is used to develop the web-based medical consulting software. Stages of RUP are as follows: Inception, elaboration, construction and transition. The intelligent developed model has been used in the infrastructure of the software and based on client's inquiry and keywords related FAQs are displayed to the client, according to the rank. FAQs' ranks are gradually determined considering clients reading it. Based on displayed FAQs, test and entertainment links are also displayed. The accuracy of the AIDS/HIV intelligent web-based medical consulting system is estimated to be 78.76%. AIDS/HIV medical consulting systems have been developed using intelligent infrastructure. Being equipped with an intelligent model, providing consulting services on systematic textual data and providing side services based on client's activities causes the implemented system to be unique. The research has been approved by Iranian Ministry of Health and Medical Education for being practical.

  8. Expert System for Determination of Type Lenses Glasses Using Forward Chaining Method

    Directory of Open Access Journals (Sweden)

    Atikah Ari Pramesti


    Full Text Available One of the branches of computer science that is widely used by humans to help her work is the establishment of an expert system. In this study we will design an expert system for determining the type of spectacle lenses using a forward chaining method. In forward chaining method, starting with the initial information (early symptoms and moved forward to fit more information to find the information in accordance with the rules of the knowledge base and production, and will be concluded in the form of the type of disorder diagnosis of eye disorders and provide solutions in the form of lenses of eyeglasses. Result from this study is that the match calculation of algorithm of forward chaining method between system and manual calculations produce the same output.

  9. Knowledge acquisition and rapid protyping of an expert system: Dealing with real world problems (United States)

    Bailey, Patrick A.; Doehr, Brett B.


    The knowledge engineering and rapid prototyping phases of an expert system that does fault handling for a Solid Amine, Water Desorbed CO2 removal assembly for the Environmental Control and Life Support System for space based platforms are addressed. The knowledge acquisition phase for this project was interesting because it could not follow the textbook examples. As a result of this, a variety of methods were used during the knowledge acquisition task. The use of rapid prototyping and the need for a flexible prototype suggested certain types of knowledge representation. By combining various techniques, a representative subset of faults and a method for handling those faults was achieved. The experiences should prove useful for developing future fault handling expert systems under similar constraints.

  10. Architecture and Design of Expert System for Quality of Life Evaluation

    Directory of Open Access Journals (Sweden)



    Full Text Available This article presents an architectural framework of an expert system (ES in the social area domain and describes the design of the ES, using the shell Expert System for Text Animation (ESTA. The designed system is intended for the evaluation of quality of life (QL. The development of ES for QL evaluation is a new information technology derived from artificial intelligent research, using ESTA system with application in social area domain. The proposed ES contains knowledge about sets of factors (objective conditions and subjective perception and indicators, which may be used to QL measure, as followings: equal protection of the law; freedom from discrimination; right to be treated equally without regard to gender, race, language, religion, political beliefs, nationality, socio-economic status and more; right to privacy; freedom of thought; free choice of employment; right to fair pay; equal pay for equal work; right to vote; right to rest and leisure; right to education. The system is developed in the ESTA, which is Visual Prolog 7.3 Application. The knowledge for the ES will be acquired from domain experts, texts and other related sources.

  11. SeDeM expert system a new innovator tool to develop pharmaceutical forms. (United States)

    Aguilar-Díaz, Johnny Edward; García-Montoya, Encarna; Pérez-Lozano, Pilar; Suñé-Negre, José María; Miñarro, Montserrat; Ticó, José Ramón


    The SeDeM expert system is based on the experimental study and quantitative determination of the characterization parameters of powdered substances, the aim being to determine whether a substance is suitable for producing tablets by means of direct compression (DC) technology, thereby reducing the lead time for pre-formulation studies. Additionally, this expert system also provides formulations with a minimum number of excipients. We used this system to analyze suitable formulas for the production of orodispersible ibuprofen tablets. Twenty-one disintegrants and ibuprophen were characterized using SeDeM methodology. The results indicated that production of ibuprofen tablets by DC would require improvements in the dimension and compressibility factors of the active pharmaceutical ingredient. The expert system analysis provided the specific percentage of disintegrant needed to blend with ibuprofen and a standardized formula of lubricants in order to obtain a powder mix that would successfully produce tablets by DC. The eight formulas proposed by SeDeM were produced and tested in the laboratory. All eight formulas successfully produced tablets by DC, but only four of them could be considered suitable for use as an orodispersible tablet and accomplishes all the pharmaceutical quality parameters. So, in fact, the use of the SeDeM system reduced the time of medicine's development and therefore the cost of the activity.

  12. Development of an expert system prototype for determining software functional requirements for command management activities at NASA Goddard (United States)

    Liebowitz, J.


    The development of an expert system prototype for software functional requirement determination for NASA Goddard's Command Management System, as part of its process of transforming general requests into specific near-earth satellite commands, is described. The present knowledge base was formulated through interactions with domain experts, and was then linked to the existing Knowledge Engineering Systems (KES) expert system application generator. Steps in the knowledge-base development include problem-oriented attribute hierarchy development, knowledge management approach determination, and knowledge base encoding. The KES Parser and Inspector, in addition to backcasting and analogical mapping, were used to validate the expert system-derived requirements for one of the major functions of a spacecraft, the solar Maximum Mission. Knowledge refinement, evaluation, and implementation procedures of the expert system were then accomplished.

  13. Research and development for Onboard Navigation (ONAV) ground based expert/trainer system: Preliminary ascent knowledge requirements (United States)

    Bochsler, Daniel C.


    The preliminary version of expert knowledge for the Onboard Navigation (ONAV) Ground Based Expert Trainer Ascent system for the space shuttle is presented. Included is some brief background information along with the information describing the knowledge the system will contain. Information is given on rules and heuristics, telemetry status, landing sites, inertial measurement units, and a high speed trajectory determinator (HSTD) state vector.

  14. Expert System Models for Forecasting Forklifts Engagement in a Warehouse Loading Operation: A Case Study

    Directory of Open Access Journals (Sweden)

    Dejan Mirčetić


    Full Text Available The paper focuses on the problem of forklifts engagement in warehouse loading operations. Two expert system (ES models are created using several machine learning (ML models. Models try to mimic expert decisions while determining the forklifts engagement in the loading operation. Different ML models are evaluated and adaptive neuro fuzzy inference system (ANFIS and classification and regression trees (CART are chosen as the ones which have shown best results for the research purpose. As a case study, a central warehouse of a beverage company was used. In a beverage distribution chain, the proper engagement of forklifts in a loading operation is crucial for maintaining the defined customer service level. The created ES models represent a new approach for the rationalization of the forklifts usage, particularly for solving the problem of the forklifts engagement incargo loading. They are simple, easy to understand, reliable, and practically applicable tool for deciding on the engagement of the forklifts in a loading operation.

  15. The matrix representation of fuzzy knowledge and its application to the expert systems design

    Directory of Open Access Journals (Sweden)

    V. Levchenko


    Full Text Available An approach to the diagnostic type expert systems design based on the special matrix representation of fuzzy predicates in the tribute model of the problem domain is presented. Intensive representation of predicates by means of sectional matrices is an analogue of the conjunctive normal form. Rules, positive examples and negative examples (in general, all fuzzy can be used to form knowledge base. Diagnostics problem is thought of as finding some attribute values provided that the information about other attribute values is available. Logical inference is based on an equivalent transformation of the matrix to that containing all prime disjuncts by using the operation of fuzzy resolution . Two strategies to carry out such transformation are described. On the basis of formalism presented the expert system shell EDIP is developed, the first version of that is non-fuzzy and the second one allows working with fuzzy data and conclusions.

  16. An expert system to manage dispute resolutions in construction projects in Egypt

    Directory of Open Access Journals (Sweden)

    A.A. Elziny


    Full Text Available This study attempts to shed a great deal of light on the problem of construction disputes in the Egyptian projects. This paper presents a comprehensive review of the available literature on analysis of disputes. The objective of this paper was to provide an expert system can evaluate the overall dispute settlement procedures at company’s projects. A questionnaire has been used to study dispute sources and resolution methods. Four case study applications have been provided to check the validity of the proposed system. Results confirmed that the most important source of disputes was contract management 74.04%, the second was contract documents 71.49%, the third was financial issues 67.80%, the fourth was project related issues 63.92%, and the lowest one was other sources (such as force majeure 61.58%. Finally, the expert program facilitates dispute resolution by using alternative dispute resolution methods instead of going direct to arbitration or litigation.

  17. Expert System Development on On-line Measurement of Sewage Treatment Based Process

    Directory of Open Access Journals (Sweden)

    Jianjun QIN


    Full Text Available This article puts forward a solution in which an instrument on-line automatic measurement and expert system process are optimized according to the complexity and great process dynamics of sewage treatment process. Firstly modeling has been set up with configuration sewage treatment process in which the process has been integrated into the computer software environment. Secondly certain number of water quality automatic monitoring instruments and sensor probes are set in the reaction tanks according to the needs of process changes and management. The data information acquired can be displayed and recorded at the real time. A human-machine integration expert system featuring computer automation management is developed for the base by one-off method thus to realize the intelligent and unmanned management. The advantages brought about from it can fill up the inexperience of the on-site management personnel and solve the contradiction between the water quality dynamics and difficulty in the process adjustment.

  18. Expert diagnostics system as a part of analysis software for power mission operations (United States)

    Harris, Jennifer A.; Bahrami, Khosrow A.


    The operation of interplanetary spacecraft at JPL has become an increasingly complex activity. This complexity is due to advanced spacecraft designs and ambitious mission objectives which lead to operations requirements that are more demanding than those of any previous mission. For this reason, several productivity enhancement measures are underway at JPL within mission operations, particularly in the spacecraft analysis area. These measures aimed at spacecraft analysis include: the development of a multi-mission, multi-subsystem operations environment; the introduction of automated tools into this environment; and the development of an expert diagnostics system. This paper discusses an effort to integrate the above mentioned productivity enhancement measures. A prototype was developed that integrates an expert diagnostics system into a multi-mission, multi-subsystem operations environment using the Galileo Power / Pyro Subsystem as a testbed. This prototype will be discussed in addition to background information associated with it.

  19. ATHENA AIDE: An expert system for ATHENA code input model preparation

    Energy Technology Data Exchange (ETDEWEB)

    Fink, R.K.; Callow, R.A.; Larson, T.K.; Ransom, V.H.


    An expert system called the ATHENA AIDE that assists in the preparation of input models for the ATHENA thermal-hydraulics code has been developed by researchers at the Idaho National Engineering Laboratory. The ATHENA AIDE uses a menu driven graphics interface and rule-based and object-oriented programming techniques to assist users of the ATHENA code in performing the tasks involved in preparing the card image input files required to run ATHENA calculations. The ATHENA AIDE was developed and currently runs on single-user Xerox artificial intelligence workstations. Experience has shown that the intelligent modeling environment provided by the ATHENA AIDE expert system helps ease the modeling task by relieving the analyst of many mundane, repetitive, and error prone procedures involved in the construction of an input model. This reduces errors in the resulting models, helps promote standardized modeling practices, and allows models to be constructed more quickly than was previously possible. 5 refs., 4 figs.

  20. Application of SeDeM expert systems in preformulation studies of pediatric ibuprofen ODT tablets

    Directory of Open Access Journals (Sweden)

    Sipos Emese


    Full Text Available Pediatric, ibuprofen containing orodispersible tablets (ODTs were prepared using the SeDeM expert system methodology. In order to facilitate formulation, directly compressible ibuprofen was employed (Ibuprofen DC 8TM and characterized using its SeDeM profile. The mannitol based superdisintegrant Ludiflash® was characterized by the SeDeM-ODT expert system, which also allowed calculation of the optimal excipient concentration in order to obtain suitable tablet hardness and disintegration time. After adding a sweetener and a standard combination of lubricants, the optimized formulation was directly compressed into tablets and evaluated in terms of tablet hardness, friability, disintegration time and dissolution profile. The SeDeM method was applied to determine the amount of corrective excipient (Ludiflash® required for the compression of Ibuprofen DC 85TM in order to achieve suitable ODTs. Adequate tablet hardness, disintegration time, friability and dissolution profiles were found during tablet evaluation.

  1. Expert system for the reliability assessment of hydro-carbon transporting pipelines

    Energy Technology Data Exchange (ETDEWEB)

    Lukacs, J.; Nagy, G.; Toeroek, I. [Department of Mechanical Technology, University of Miskolc, Miskolc-Egyetemvaros (Hungary)


    Safety operation, condition monitoring, periodical inspection and rehabilitation of high-pressure hydro-carbon transporting pipelines are a complex problem. To answer arising questions is inconceivable without technical-critical evaluation of defects - originated during manufacturing or operation - can be found on the pipeline. This evaluation must be in line with requirements of our age, i.e. it has to assert such concept of which basis is not the `possible worst` but the `just happening wrong`. Solving these problems without application of computer resources is inconceivable in our time. The final purpose of the solution is the expert system and among the components of the expert system primarily the development of the knowledge base is needed. The paper demonstrates a possible structure of the knowledge base, furthermore its fundamental elements and their contents (defect types, evaluation possibilities of defects, categorisation of pipelines) and summaries the prospective advantages of its application. (orig.) 27 refs.

  2. Feature Selection for Classification of Polar Regions Using a Fuzzy Expert System (United States)

    Penaloza, Mauel A.; Welch, Ronald M.


    Labeling, feature selection, and the choice of classifier are critical elements for classification of scenes and for image understanding. This study examines several methods for feature selection in polar regions, including the list, of a fuzzy logic-based expert system for further refinement of a set of selected features. Six Advanced Very High Resolution Radiometer (AVHRR) Local Area Coverage (LAC) arctic scenes are classified into nine classes: water, snow / ice, ice cloud, land, thin stratus, stratus over water, cumulus over water, textured snow over water, and snow-covered mountains. Sixty-seven spectral and textural features are computed and analyzed by the feature selection algorithms. The divergence, histogram analysis, and discriminant analysis approaches are intercompared for their effectiveness in feature selection. The fuzzy expert system method is used not only to determine the effectiveness of each approach in classifying polar scenes, but also to further reduce the features into a more optimal set. For each selection method,features are ranked from best to worst, and the best half of the features are selected. Then, rules using these selected features are defined. The results of running the fuzzy expert system with these rules show that the divergence method produces the best set features, not only does it produce the highest classification accuracy, but also it has the lowest computation requirements. A reduction of the set of features produced by the divergence method using the fuzzy expert system results in an overall classification accuracy of over 95 %. However, this increase of accuracy has a high computation cost.

  3. Guess-And-Verify Heuristics for Reducing Uncertainties in Expert Classification Systems


    Qiu, Yuping; Cox, JR; Davis, Lawrence


    An expert classification system having statistical information about the prior probabilities of the different classes should be able to use this knowledge to reduce the amount of additional information that it must collect, e.g., through questions, in order to make a correct classification. This paper examines how best to use such prior information and additional information-collection opportunities to reduce uncertainty about the class to which a case belongs, thus minimizing the average cos...

  4. An expert system for process planning of sheet metal parts produced ...

    Indian Academy of Sciences (India)

    Sachin Salunkhe

    Expert system; process planning; sheet metal parts; compound die; stamping industries; ... metal industries are also facing problems due to scarcity of .... Sheet thickness in mm [1.6; and Sheet thickness in mm B 4.5. Set die-angle = 0.5 degree; and Die- land = 4.0 mm. 3. Sheet thickness in mm [4.5. Set die-angle = 0.75 ...

  5. The matrix representation of fuzzy knowledge and its application to the expert systems design


    V.; Levchenko; Savinov, A.


    An approach to the diagnostic type expert systems design based on the special matrix representation of fuzzy predicates in the tribute model of the problem domain is presented. Intensive representation of predicates by means of sectional matrices is an analogue of the conjunctive normal form. Rules, positive examples and negative examples (in general, all fuzzy) can be used to form knowledge base. Diagnostics problem is thought of as finding some attribute values provided that the information...

  6. [Correction of spectral interferences by ICP-AES primary expert system]. (United States)

    Ying, H; Yang, P; Wang, X; Huang, B


    A subpackage for spectral interference correction has been set up in ICP-AES primary expert system. Some numerical recipes have been applied in this subpackage, such as curve smoothing, derivative spectrum, FFT technique, spectral resolving etc. A comprehensive method for spectral interference correction is presented. All these numeric recipes have been tested with simulated data and also utilized in several typical examples of real spectra. Results are satisfactory.

  7. Kinship Algebra Expert System (KAES): A Software Implementation of a Cultural Theory


    Read, Dwight W


    The computer program Kinship Algebra Expert System (KAES) provides a graphically based framework for constructing, if possible, a generative algebraic model for the structure of a kinship terminology (the terms used to refer to one’s kin). The algebraic modeling is based on a theory of kinship terminologies elaborated through writing the software program. The theory relates the properties and structure of kinship terminologies to an underlying logic that the KAES program helps uncover and mod...

  8. An abductive expert system for interpretation of real-time data

    Energy Technology Data Exchange (ETDEWEB)

    Dabbaghchi, I.; Gursky, R.J. (American Electric Power Service Corp., Columbus, OH (United States))


    This paper describes DINT, a data interpretation expert system which can provide an explanation of the real-time operating state of a substation to its operators. DINT is based on a generalized version of the set covering model for diagnostic problem solving. This abductive reasoning model is an object-based, frame-like knowledge representation paradigm. Test cases illustrate the application of the model to the real-time operation of a substation.

  9. The nature and evaluation of commercial expert system building tools, revision 1 (United States)

    Gevarter, William B.


    This memorandum reviews the factors that constitute an Expert System Building Tool (ESBT) and evaluates current tools in terms of these factors. Evaluation of these tools is based on their structure and their alternative forms of knowledge representation, inference mechanisms and developer end-user interfaces. Next, functional capabilities, such as diagnosis and design, are related to alternative forms of mechanization. The characteristics and capabilities of existing commercial tools are then reviewed in terms of these criteria.

  10. An Expert System And Simulation Approach For Sensor Management & Control In A Distributed Surveillance Network (United States)

    Leon, Barbara D.; Heller, Paul R.


    A surveillance network is a group of multiplatform sensors cooperating to improve network performance. Network control is distributed as a measure to decrease vulnerability to enemy threat. The network may contain diverse sensor types such as radar, ESM (Electronic Support Measures), IRST (Infrared search and track) and E-0 (Electro-Optical). Each platform may contain a single sensor or suite of sensors. In a surveillance network it is desirable to control sensors to make the overall system more effective. This problem has come to be known as sensor management and control (SM&C). Two major facets of network performance are surveillance and survivability. In a netted environment, surveillance can be enhanced if information from all sensors is combined and sensor operating conditions are controlled to provide a synergistic effect. In contrast, when survivability is the main concern for the network, the best operating status for all sensors would be passive or off. Of course, improving survivability tends to degrade surveillance. Hence, the objective of SM&C is to optimize surveillance and survivability of the network. Too voluminous data of various formats and the quick response time are two characteristics of this problem which make it an ideal application for Artificial Intelligence. A solution to the SM&C problem, presented as a computer simulation, will be presented in this paper. The simulation is a hybrid production written in LISP and FORTRAN. It combines the latest conventional computer programming methods with Artificial Intelligence techniques to produce a flexible state-of-the-art tool to evaluate network performance. The event-driven simulation contains environment models coupled with an expert system. These environment models include sensor (track-while-scan and agile beam) and target models, local tracking, and system tracking. These models are used to generate the environment for the sensor management and control expert system. The expert system

  11. Guidelines for the verification and validation of expert system software and conventional software: Project summary. Volume 1

    Energy Technology Data Exchange (ETDEWEB)

    Mirsky, S.M.; Hayes, J.E.; Miller, L.A. [Science Applications International Corp., McLean, VA (United States)


    This eight-volume report presents guidelines for performing verification and validation (V&V) on Artificial Intelligence (Al) systems with nuclear applications. The guidelines have much broader application than just expert systems; they are also applicable to object-oriented programming systems, rule-based systems, frame-based systems, model-based systems, neural nets, genetic algorithms, and conventional software systems. This is because many of the components of AI systems are implemented in conventional procedural programming languages, so there is no real distinction. The report examines the state of the art in verifying and validating expert systems. V&V methods traditionally applied to conventional software systems are evaluated for their applicability to expert systems. One hundred fifty-three conventional techniques are identified and evaluated. These methods are found to be useful for at least some of the components of expert systems, frame-based systems, and object-oriented systems. A taxonomy of 52 defect types and their delectability by the 153 methods is presented. With specific regard to expert systems, conventional V&V methods were found to apply well to all the components of the expert system with the exception of the knowledge base. The knowledge base requires extension of the existing methods. Several innovative static verification and validation methods for expert systems have been identified and are described here, including a method for checking the knowledge base {open_quotes}semantics{close_quotes} and a method for generating validation scenarios. Evaluation of some of these methods was performed both analytically and experimentally. A V&V methodology for expert systems is presented based on three factors: (1) a system`s judged need for V&V (based in turn on its complexity and degree of required integrity); (2) the life-cycle phase; and (3) the system component being tested.

  12. Exploiting Expert Knowledge of Protein-Protein Interactions in a Computational Evolution System for Detecting Epistasis (United States)

    Pattin, Kristine A.; Payne, Joshua L.; Hill, Douglas P.; Caldwell, Thomas; Fisher, Jonathan M.; Moore, Jason H.

    The etiology of common human disease often involves a complex genetic architecture, where numerous points of genetic variation interact to influence disease susceptibility. Automating the detection of such epistatic genetic risk factors poses a major computational challenge, as the number of possible gene-gene interactions increases combinatorially with the number of sequence variations. Previously, we addressed this challenge with the development of a computational evolution system (CES) that incorporates greater biological realism than traditional artificial evolution methods. Our results demonstrated that CES is capable of efficiently navigating these large and rugged epistatic landscapes toward the discovery of biologically meaningful genetic models of disease predisposition. Further, we have shown that the efficacy of CES is improved dramatically when the system is provided with statistical expert knowledge. We anticipate that biological expert knowledge, such as genetic regulatory or protein-protein interaction maps, will provide complementary information, and further improve the ability of CES to model the genetic architectures of common human disease. The goal of this study is to test this hypothesis, utilizing publicly available protein-protein interaction information. We show that by incorporating this source of expert knowledge, the system is able to identify functional interactions that represent more concise models of disease susceptibility with improved accuracy. Our ability to incorporate biological knowledge into learning algorithms is an essential step toward the routine use of methods such as CES for identifying genetic risk factors for common human diseases.

  13. Essential Nutrition and Food Systems Components for School Curricula: Views from Experts in Iran. (United States)

    Sadegholvad, Sanaz; Yeatman, Heather; Omidvar, Nasrin; Parrish, Anne-Maree; Worsley, Anthony


    This study aimed to investigate food experts' views on important nutrition and food systems knowledge issues for education purposes at schools in Iran. In 2012, semi-structured, face-to-face or telephone interviews were conducted with twenty-eight acknowledged Iranian experts in food and nutrition fields. Participants were selected from four major provinces in Iran (Tehran, Isfahan, Fars and Gilan). Open-ended interview questions were used to identify nutrition and food systems knowledge issues, which experts considered as important to be included in school education programs. Qualitative interviews were analyzed thematically using NVivo. A framework of knowledge that would assist Iranian students and school-leavers to make informed decisions in food-related areas was developed, comprising five major clusters and several sub-clusters. Major knowledge clusters included nutrition basics; food production; every day food-related practices; prevalent nutritional health problems in Iran and improvement of students' ethical attitudes in the food domain. These findings provide a guide to curriculum developers and policy makers to assess current education curricula in order to optimize students' knowledge of nutrition and food systems.

  14. Identifying influenza-like illness presentation from unstructured general practice clinical narrative using a text classifier rule-based expert system versus a clinical expert. (United States)

    MacRae, Jayden; Love, Tom; Baker, Michael G; Dowell, Anthony; Carnachan, Matthew; Stubbe, Maria; McBain, Lynn


    We designed and validated a rule-based expert system to identify influenza like illness (ILI) from routinely recorded general practice clinical narrative to aid a larger retrospective research study into the impact of the 2009 influenza pandemic in New Zealand. Rules were assessed using pattern matching heuristics on routine clinical narrative. The system was trained using data from 623 clinical encounters and validated using a clinical expert as a gold standard against a mutually exclusive set of 901 records. We calculated a 98.2 % specificity and 90.2 % sensitivity across an ILI incidence of 12.4 % measured against clinical expert classification. Peak problem list identification of ILI by clinical coding in any month was 9.2 % of all detected ILI presentations. Our system addressed an unusual problem domain for clinical narrative classification; using notational, unstructured, clinician entered information in a community care setting. It performed well compared with other approaches and domains. It has potential applications in real-time surveillance of disease, and in assisted problem list coding for clinicians. Our system identified ILI presentation with sufficient accuracy for use at a population level in the wider research study. The peak coding of 9.2 % illustrated the need for automated coding of unstructured narrative in our study.

  15. Application prototype of a model-based expert system to the maintenance of a MAN (United States)

    Hopfmueller, Heinrich; Kehl, Walter; Schapeler, Gottfried


    This paper describes the work done and results achieved in implementing a fault management prototype for a Metropolitan Area Network (MAN) switching system, the GMAN (GMS Fault Management Prototype for a MAN). The GMAN is implemented using the Generic Maintenance System (GMS) which has been developed by the RACE project AIM (R1006). The GMS is a model based expert system toolset (`2nd generation XPS') comprising components for knowledge acquisition, knowledge representation, model based reasoning, human machine interface, and dialogue design. The GMS supports automatic fault management from receiving and treating fault events to guiding an operator through a repair procedure.


    Directory of Open Access Journals (Sweden)

    Oleh Shevchuk


    Full Text Available The articles defines the system of pedagogical principles (centering on an individual, the priority of the pedagogical approach, educational appropriateness of the use of new information technologies; the freedom of choice of the cognitive trajectory; diversity; openness and development; professional orientation; "precedent", the emotional fulfillment of the environment; the distribution of educational material which has to lie on the basis of designingeducational techniques which are based on expert training systems. The gnosiological grounds for the mentioned system of principles are provided.

  17. Research and development for Onboard Navigation (ONAV) ground based expert/trainer system: ONAV entry knowledge requirements specification update (United States)

    Bochsler, Daniel C.


    A revised version of expert knowledge for the onboard navigation (ONAV) entry system is given. Included is some brief background information together with information describing the knowledge that the system does contain.

  18. Considerations Regarding the Expert Systems in the Economy and the Use Method of the Production Systems Based on Rules

    Directory of Open Access Journals (Sweden)

    Eugenia IANCU


    Full Text Available As it is known, the expert systems- particularlyreferring to the ones in the economical area, represent a currentissue of our days, them being approached by all the economicalbranches. Starting from these aspects, we wish to present somenecessary principles and considerations regarding the expertsystems, representation of the facts, systems based onproduction rules. The objective of this paper is aimed toidentifying the exigencies of the production system based onrules.

  19. Multi-sensor data fusion for land vehicle attitude estimation using a fuzzy expert system

    Directory of Open Access Journals (Sweden)

    Jau-Hsiung Wang


    Full Text Available In Inertial Navigation Systems (INS, the attitude estimated from gyro measurements by the Kalman filter is subject to an unbound error growth during the stand-alone mode, especially for land vehicle applications using low-cost sensors. To improve the attitude estimation of a land vehicle, this paper applies a fuzzy expert system to assist in multi-sensor data fusion from MEMS accelerometers, MEMS gyroscopes and a digital compass based on their complementary motion detection characteristics. Field test results have shown that drift-free and smooth attitude estimation can be achieved and will lead to a significant performance improvement for velocity and position estimation.

  20. Matrix Failure Modes and Effects Analysis as a Knowledge Base for a Real Time Automated Diagnosis Expert System (United States)

    Herrin, Stephanie; Iverson, David; Spukovska, Lilly; Souza, Kenneth A. (Technical Monitor)


    Failure Modes and Effects Analysis contain a wealth of information that can be used to create the knowledge base required for building automated diagnostic Expert systems. A real time monitoring and diagnosis expert system based on an actual NASA project's matrix failure modes and effects analysis was developed. This Expert system Was developed at NASA Ames Research Center. This system was first used as a case study to monitor the Research Animal Holding Facility (RAHF), a Space Shuttle payload that is used to house and monitor animals in orbit so the effects of space flight and microgravity can be studied. The techniques developed for the RAHF monitoring and diagnosis Expert system are general enough to be used for monitoring and diagnosis of a variety of other systems that undergo a Matrix FMEA. This automated diagnosis system was successfully used on-line and validated on the Space Shuttle flight STS-58, mission SLS-2 in October 1993.

  1. DAQExpert - An expert system to increase CMS data-taking efficiency

    CERN Document Server

    Andre, Jean-marc Olivier; Branson, James; Chaze, Olivier; Cittolin, Sergio; Contescu, Cristian; Darlea, Georgiana Lavinia; Deldicque, Christian; Demiragli, Zeynep; Dobson, Marc; Doualot, Nicolas; Erhan, Samim; Fulcher, Jonathan Richard; Gigi, Dominique; Gladki, Maciej Szymon; Glege, Frank; Gomez Ceballos, Guillelmo; Hegeman, Jeroen Guido; Holzner, Andre Georg; Janulis, Mindaugas; Lettrich, Michael; Meijers, Franciscus; Meschi, Emilio; Mommsen, Remigius; Morovic, Srecko; O'Dell, Vivian; Orn, Samuel Johan; Orsini, Luciano; Papakrivopoulos, Ioannis; Paus, Christoph Maria Ernst; Petrova, Petia; Petrucci, Andrea; Pieri, Marco; Rabady, Dinyar Sebastian; Racz, Attila; Reis, Thomas; Sakulin, Hannes; Schwick, Christoph; Simelevicius, Dainius; Vougioukas, Michail; Zejdl, Petr


    The efficiency of the Data Acquisition (DAQ) of the Compact Muon Solenoid (CMS) experiment for LHC Run 2 is constantly being improved. A~significant factor affecting the data taking efficiency is the experience of the DAQ operator. One of the main responsibilities of the DAQ operator is to carry out the proper recovery procedure in case of failure of data-taking. At the start of Run 2, understanding the problem and finding the right remedy could take a considerable amount of time (up to many minutes). Operators heavily relied on the support of on-call experts, also outside working hours. Wrong decisions due to time pressure sometimes lead to an additional overhead in recovery time. To increase the efficiency of CMS data-taking we developed a new expert system, the DAQExpert, which provides shifters with optimal recovery suggestions instantly when a failure occurs. DAQExpert is a~web application analyzing frequently updating monitoring data from all DAQ components and identifying problems based on expert knowl...

  2. Vaccine Rejecting Parents' Engagement With Expert Systems That Inform Vaccination Programs. (United States)

    Attwell, Katie; Leask, Julie; Meyer, Samantha B; Rokkas, Philippa; Ward, Paul


    In attempting to provide protection to individuals and communities, childhood immunization has benefits that far outweigh disease risks. However, some parents decide not to immunize their children with some or all vaccines for reasons including lack of trust in governments, health professionals, and vaccine manufacturers. This article employs a theoretical analysis of trust and distrust to explore how twenty-seven parents with a history of vaccine rejection in two Australian cities view the expert systems central to vaccination policy and practice. Our data show how perceptions of the profit motive generate distrust in the expert systems pertaining to vaccination. Our participants perceived that pharmaceutical companies had a pernicious influence over the systems driving vaccination: research, health professionals, and government. Accordingly, they saw vaccine recommendations in conflict with the interests of their child and "the system" underscored by malign intent, even if individual representatives of this system were not equally tainted. This perspective was common to parents who declined all vaccines and those who accepted some. We regard the differences between these parents-and indeed the differences between vaccine decliners and those whose Western medical epistemology informs reflexive trust-as arising from the internalization of countering views, which facilitates nuance.

  3. DG Allocation Based on Reliability, Losses and Voltage Sag Considerations: an expert system approach

    Directory of Open Access Journals (Sweden)

    Sahar Abdel Moneim Moussa


    Full Text Available Expert System (ES as a branch of Artificial Intelligence (AI methodology can potentially help in solving complicated power system problems. This may be more appropriate methodology than conventional optimization techniques when contradiction between objectives appears in reaching the optimum solution. When this contradiction is the hindrance in reaching the required system operation through the application of traditional methods ES can give a hand in such case. In this paper, the  knowledge- based ES technique is proposed to reach near-optimum solution which is further directed to the optimum solution through particle swarm optimization (PSO technique. This idea is known as Hybrid-Expert-System (HES. The proposed idea is used in getting the optimum allocation of a number of distributed generation (DG units on Distribution System (DS busbars taking into consideration three issues; reliability, voltage sag, and line losses. Optimality is assessed on the economic basis by calculating money benefits (or losses resulting from DG addition considering the three aforementioned issues. The effectiveness of the proposed technique is ascertained through example.

  4. Prediction of Heart Attack Risk Using GA-ANFIS Expert System Prototype. (United States)

    Begic Fazlic, Lejla; Avdagic, Aja; Besic, Ingmar


    The aim of this research is to develop a novel GA-ANFIS expert system prototype for classifying heart disease degree of a patient by using heart diseases attributes (features) and diagnoses taken in the real conditions. Thirteen attributes have been used as inputs to classifiers being based on Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for the first level of fuzzy model optimization. They are used as inputs in Genetic Algorithm (GA) for the second level of fuzzy model optimization within GA-ANFIS system. GA-ANFIS system performs optimization in two steps. Modelling and validating of the novel GA-ANFIS system approach is performed in MATLAB environment. We compared GA-ANFIS and ANFIS results. The proposed GA-ANFIS model with the predicted value technique is more efficient when diagnosis of heart disease is concerned, as well the earlier method we got by ANFIS model.

  5. GA-ANFIS Expert System Prototype for Prediction of Dermatological Diseases. (United States)

    Begic Fazlic, Lejla; Avdagic, Korana; Omanovic, Samir


    This paper presents novel GA-ANFIS expert system prototype for dermatological disease detection by using dermatological features and diagnoses collected in real conditions. Nine dermatological features are used as inputs to classifiers that are based on Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for the first level of fuzzy model optimization. After that, they are used as inputs in Genetic Algorithm (GA) for the second level of fuzzy model optimization within GA-ANFIS system. GA-ANFIS system performs optimization in two steps. Modelling and validation of the novel GA-ANFIS system approach is performed in MATLAB environment by using validation set of data. Some conclusions concerning the impacts of features on the detection of dermatological diseases were obtained through analysis of the GA-ANFIS. We compared GA-ANFIS and ANFIS results. The results confirmed that the proposed GA-ANFIS model achieved accuracy rates which are higher than the ones we got by ANFIS model.

  6. Use of a FORTH-based PROLOG for real-time expert systems. 1: Spacelab life sciences experiment application (United States)

    Paloski, William H.; Odette, Louis L.; Krever, Alfred J.; West, Allison K.


    A real-time expert system is being developed to serve as the astronaut interface for a series of Spacelab vestibular experiments. This expert system is written in a version of Prolog that is itself written in Forth. The Prolog contains a predicate that can be used to execute Forth definitions; thus, the Forth becomes an embedded real-time operating system within the Prolog programming environment. The expert system consists of a data base containing detailed operational instructions for each experiment, a rule base containing Prolog clauses used to determine the next step in an experiment sequence, and a procedure base containing Prolog goals formed from real-time routines coded in Forth. In this paper, we demonstrate and describe the techniques and considerations used to develop this real-time expert system, and we conclude that Forth-based Prolog provides a viable implementation vehicle for this and similar applications.

  7. An Expert System for Computer-aided Volcano Monitoring on Mt. Etna (United States)

    Cannavo', Flavio; Cannata, Andrea; Cassisi, Carmelo; Di Grazia, Giuseppe; Montalto, Placido; Prestifilippo, Michele; Privitera, Eugenio; Gambino, Salvatore; Coltelli, Mauro


    Constant estimation of the state of potentially hazardous volcanos plays a crucial role for civil protection purposes. In particular, the importance of monitoring volcanic activity, especially for paroxysms that usually come with tephra emissions, is crucial not only for hazards to the local population but also for airline traffic. Indeed, At present, real-time surveillance of most volcanoes worldwide is essentially deputized to one or more human experts in volcanology, who interpret data coming from different kind of monitoring networks. Unfavourably, the coupling of highly nonlinear and complex volcanic dynamic processes leads to measurable effects that can show a large variety of different behaviours. Moreover, due to intrinsic uncertainties and possible failures in some recorded data, the volcano state needs to be expressed in probabilistic terms, thus making the fast volcano state assessment sometimes impracticable for the personnel on duty at the control rooms. With the aim of aiding the personnel on duty in volcano surveillance, we present an expert system based on a probabilistic graphical model to estimate automatically the ongoing volcano state from all the available different kind of measurements. The system consists of a decision network able to represent a set of variables and their conditional dependencies via a directed acyclic graph. The model variables are both the measurements and the possible states of the volcano through the time. The model output is the most likely volcanic state. We tested the expert system on the Mt. Etna (Italy) case study by considering a long record of multivariate data from 2011 to 2015 and cross-validated it. Results indicate that the proposed model is effective and of great power for decision making purposes.

  8. A Belief Rule Based Expert System to Assess Bronchiolitis Suspicion from Signs and Symptoms under Uncertainty

    DEFF Research Database (Denmark)

    Karim, Rezuan; Hossain, Mohammad Shahadat; Khalid, Md. Saifuddin


    Bronchiolitis is a common disease in children and an acute viral infection of the bronchioles that affects millions of children around the world. The assessment of the suspicion of this disease is usually carried out by looking at its signs and symptoms. However, these signs and symptoms cannot...... be measured with cent percent certainty, resulting in inaccuracy in determining the occurrence of Bronchiolitis. Therefore, this paper presents the development of a Belief Rule-Based Expert System (BRBES) to assess the suspicion of Bronchiolitis by using signs and symptoms under uncertainty. The recently...

  9. An Expert System for Determining the Emotional Change on a Critical Event Using Handwriting Features

    Directory of Open Access Journals (Sweden)

    Bora Uğurlu


    Full Text Available An individual may sometimes feel anxious when a critical event happens. Job interview, wedding, moving in a new city/country can result this occurrence. Examinations taken in school are also that kind of events. Since our handwriting is controlled by brain, it is possible to see clear changes in handwriting style during examinations. In our study, an expert system is developed which considers handwriting features to predict student’s exam anxiety state. 210 handwriting samples are collected and classification is made by using J48 decision tree algorithm. The average of Precision, Recall and F-Measure metrics are 71%, 66% and 67%, respectively.

  10. Evidence flow graph methods for validation and verification of expert systems (United States)

    Becker, Lee A.; Green, Peter G.; Bhatnagar, Jayant


    The results of an investigation into the use of evidence flow graph techniques for performing validation and verification of expert systems are given. A translator to convert horn-clause rule bases into evidence flow graphs, a simulation program, and methods of analysis were developed. These tools were then applied to a simple rule base which contained errors. It was found that the method was capable of identifying a variety of problems, for example that the order of presentation of input data or small changes in critical parameters could affect the output from a set of rules.

  11. Application of machine learning and expert systems to Statistical Process Control (SPC) chart interpretation (United States)

    Shewhart, Mark


    Statistical Process Control (SPC) charts are one of several tools used in quality control. Other tools include flow charts, histograms, cause and effect diagrams, check sheets, Pareto diagrams, graphs, and scatter diagrams. A control chart is simply a graph which indicates process variation over time. The purpose of drawing a control chart is to detect any changes in the process signalled by abnormal points or patterns on the graph. The Artificial Intelligence Support Center (AISC) of the Acquisition Logistics Division has developed a hybrid machine learning expert system prototype which automates the process of constructing and interpreting control charts.

  12. A Belief Rule Based Expert System to Assess Mental Disorder under Uncertainty

    DEFF Research Database (Denmark)

    Hossain, Mohammad Shahadat; Afif Monrat, Ahmed; Hasan, Mamun


    Mental disorder is a change of mental or behavioral pattern that causes sufferings and impairs the ability to function in ordinary life. In psychopathology, the assessment methods of mental disorder contain various types of uncertainties associated with signs and symptoms. This study identifies...... to ignorance, incompleteness, and randomness. So, a belief rule-based expert system (BRBES) has been designed and developed with the capability of handling the uncertainties mentioned. Evidential reasoning works as the inference engine and the belief rule base as the knowledge representation schema...

  13. Transforming stand-alone expert system into a community of cooperating agents

    CERN Document Server

    Jennings, N R; Aarnts, R P; Fuchs, J; Skarek, Paul


    Distributed Artificial Intelligence (DAI) systems in which multiple problem solving agents cooperate to achieve a common objective is a rapidly emerging and promising technology. However, as yet, there have been relatively few reported cases of such systems being employed to tackle real-world problems in realistic domains. One of the reasons for this is that DAI researchers have given virtually no consideration to the process of incorporating pre-existing systems into a community of cooperating agents. Yet reuse is a primary consideration for any organisation with a large software base. To redress the balance, this paper reports on an experiment undertaken at the CERN laboratories, in which two pre-existing and standalone expert systems for diagnosing faults in a particle accelerator were transformed into a community of cooperating agents. The experiences and insights gained during this process provide a valuable first step towards satisfying the needs of potential users of DAI technology - identifying the ty...

  14. Acute asthma severity identification of expert system flow in emergency department (United States)

    Sharif, Nurul Atikah Mohd; Ahmad, Norazura; Ahmad, Nazihah; Desa, Wan Laailatul Hanim Mat


    Integration of computerized system in healthcare management help in smoothening the documentation of patient records, highly accesses of knowledge and clinical practices guideline, and advice on decision making. Exploit the advancement of artificial intelligent such as fuzzy logic and rule-based reasoning may improve the management of emergency department in terms of uncertainty condition and medical practices adherence towards clinical guideline. This paper presenting details of the emergency department flow for acute asthma severity identification with the embedding of acute asthma severity identification expert system (AASIES). Currently, AASIES is still in preliminary stage of system validation. However, the implementation of AASIES in asthma bay management is hope can reduce the usage of paper for manual documentation and be a pioneer for the development of a more complex decision support system to smoothen the ED management and more systematic.

  15. Tuberculosis-Diagnostic Expert System: an architecture for translating patients information from the web for use in tuberculosis diagnosis. (United States)

    Osamor, Victor C; Azeta, Ambrose A; Ajulo, Oluseyi O


    Over 1.5-2 million tuberculosis deaths occur annually. Medical professionals are faced with a lot of challenges in delivering good health-care with unassisted automation in hospitals where there are several patients who need the doctor's attention. To automate the pre-laboratory screening process against tuberculosis infection to aid diagnosis and make it fast and accessible to the public via the Internet. The expert system we have built is designed to also take care of people who do not have access to medical experts, but would want to check their medical status. A rule-based approach has been used, and unified modeling language and the client-server architecture technique were applied to model the system and to develop it as a web-based expert system for tuberculosis diagnosis. Algorithmic rules in the Tuberculosis-Diagnosis Expert System necessitate decision coverage where tuberculosis is either suspected or not suspected. The architecture consists of a rule base, knowledge base, and patient database. These units interact with the inference engine, which receives patient' data through the Internet via a user interface. We present the architecture of the Tuberculosis-Diagnosis Expert System and its implementation. We evaluated it for usability to determine the level of effectiveness, efficiency and user satisfaction. The result of the usability evaluation reveals that the system has a usability of 4.08 out of a scale of 5. This is an indication of a more-than-average system performance. Several existing expert systems have been developed for the purpose of supporting different medical diagnoses, but none is designed to translate tuberculosis patients' symptomatic data for online pre-laboratory screening. Our Tuberculosis-Diagnosis Expert System is an effective solution for the implementation of the needed web-based expert system diagnosis. © The Author(s) 2013.

  16. Extensions to the time-oriented database model to support temporal reasoning in medical expert systems. (United States)

    Kahn, M G; Fagan, L M; Tu, S


    Physicians faced with diagnostic and therapeutic decisions must reason about clinical features that change over time. Database-management systems (DBMS) can increase access to patient data, but most systems are limited in their ability to store and retrieve complex temporal information. The Time-Oriented Databank (TOD) model, the most widely used data model for medical database systems, associates a single time stamp with each observation. The proper analysis of most clinical data requires accounting for multiple concurrent clinical events that may alter the interpretation of the raw data. Most medical DBMSs cannot retrieve patient data indexed by multiple clinical events. We describe two logical extensions to TOD-based databases that solve a set of temporal reasoning problems we encountered in constructing medical expert systems. A key feature of both extensions is that stored data are partitioned into groupings, such as sequential clinical visits, clinical exacerbations, or other abstract events that have clinical decision-making relevance. The temporal network (TNET) is an object-oriented database that extends the temporal reasoning capabilities of ONCOCIN, a medical expert system that provides chemotherapy advice. TNET uses persistent objects to associate observations with intervals of time during which "an event of clinical interest" occurred. A second object-oriented system called the extended temporal network (ETNET), is both an extension and a simplification of TNET. Like TNET, ETNET uses persistent objects to represent relevant intervals; unlike the first system, however, ETNET contains reasoning methods (rules) that can be executed when an event "begins", and that are withdrawn when that event "concludes". TNET and ETNET capture temporal relationships among recorded information that are not represented in TOD-based databases. Although they do not solve all temporal reasoning problems found in medical decision making, these new structures enable patient

  17. Expert assistant system to support the general observer program for NGST (United States)

    Brooks, Tom; Dallas, Lisa; Grosvenor, Sandy; Jones, Jeremy E.; Koratkar, Anuradha; Ruley, Lamont


    One of the manually intensive efforts of HST observing is the specification and validation of the detailed proposals for scientists observing with the telescope. In order to meet the operational cost objectives for the next generation telescope, this process needs to be dramatically less time consuming and less costly. We are prototyping a new proposal development system, the Scientist's Expert Assistant (SEA), using a combination of artificial intelligence and user interface techniques to reduce the time and effort involved for both scientists and the telescope operations staff. The advanced architectures and automation branch or Goddard's Information Systems Center is working with the Space Telescope Science Institute to explore SEA alternatives, using an iterative prototype-review-revise cycle. We are testing the usefulness of rule-based expert systems to painlessly guide a scientist to his or her desired observation specification. We are also examining several potential user interface paradigms and explore data visualization schemes to see which techniques are more intuitive. Our prototypes will be validated using HST's Advanced Camera for Surveys instrument as a live test instrument. Having an operational test-bed will ensure the most realistic feedback possible for the prototyping cycle. In addition, when the instruments for NGST are better defined, the SEA will already be a proven platform that simply needs adapting to NGST specific instruments.

  18. Sistemas expertos y su aplicación en medicina Medical expert systems

    Directory of Open Access Journals (Sweden)

    Javier E. Fox


    Full Text Available

    El presente artículo es una revisión de los Sistemas Expertos Médicos como aplicación concreta de la inteligencia Artificial. Se hace un recuento histórico de los mismos desde la década de los setenta; se dan nociones generales sobre lo que son los Sistemas Expertos, su arquitectura interna y las personas que Interactúan con ellos para hacer posibles su desarrollo y aplicación; se destacan sus ventajas y desventajas y se integran los conocimientos básicos sobre Sistemas Expertos con el prototipo PULMONOLOGIST que hace diagnóstico diferencial de quince enfermedades pulmonares y muestra al usuario el diagnóstico más probable, los síntomas que dejó de exhibir el paciente, las pruebas confirmatorias realizadas y el tratamiento recomendado.

    A review on medical diagnostic systems based on computer programs (Medical Expert Systems-MES as an application of artificial intelligence is presented. It includes a historical account, general notions, internal architecture of Expert Systems, subjects who interact with them during their development and application, as well as advantages and disadvantages. PULMONOLOGIST, a MES for differential diagnosis of pulmonary diseases, is presented as an example of the potential of this technology.

  19. Expert system for the diagnosis of the condition and performance of centrifugal pumps

    Energy Technology Data Exchange (ETDEWEB)

    Jantunen, E.; Vaehae-Pietilae, K.; Pesonen, K. [Technical Research Centre of Finland, Manufacturing Technology, Espoo (Finland)


    A brief description of the results of a study concerning the maintenance and downtime costs in Finnish pumping is given. The leakage of seals was found to be the fault that causes the highest downtime and maintenance costs. A small laboratory arrangement has been used to test the effectiveness of various condition monitoring methods. This information has been used in the development of a diagnostic expert system called CEPDIA, which can be used for diagnosing the condition of a pump and its components. The diagnosis is based on measuring results obtained from sensors and on information about maintenance actions carried out with the pump and its components. The principles of the CEPDIA expert system are described. A database is included in the system for handling and saving the measurement results, technical information on the pumps and maintenance actions carried out with the pumps. The diagnosis can also be based on vibration signature analysis, which is quite effective in determining which fault is the actual cause of malfunction of the pump or its components. CEPDIA can also be used to calculate of the efficiency of the electrical motor and the pump. CEPDIA has been tested in the diagnosis of 63 pumps. The average efficiency in pumping was less than 40 %, and more than 10 % of the pumps were pumping with less than 10 % efficiency. (orig.) 11 refs.

  20. The development of an expert system for the characterization of waste assay data

    Energy Technology Data Exchange (ETDEWEB)

    Bridges, S.; Hodges, J.; Sparrow, C. [Mississippi State Univ., Mississippi State, MS (United States)] [and others


    Containers of transuranic and low-level alpha contaminated waste generated as a byproduct of Department of Energy defense-related programs must be characterized before their proper disposition can be determined. Nondestructive assay methods are the most desirable means for assessing the mass and activity of the entrained transuranic radionuclides. However, there are other sources of information that may be useful in the characterization of the entrained waste (e.g., container manifests, information about the generation process, and destructive assay techniques performed on representative samples). This paper describes initial work on an expert system being developed to analyze and characterize containerized radiological waste. This system is being developed by scientists at the Mississippi State University Diagnostic and Instrumentation Laboratory (DIAL) in collaboration with scientists at the Idaho National Engineering Laboratory. The DIAL scientists are responsible for (1) the development of techniques to represent and reason with evidence from a variety of sources, and (2) the development of appropriate method(s) to represent and reason with confidence levels associated with that evidence. This paper describes exploratory versions of the expert system developed to evaluate four techniques for representing and reasoning with the confidence in the evidence: MYCIN-style certainty factors, Dempster-Shafer Theory, Bayesian networks, and fuzzy logic. 16 refs., 8 figs., 4 tabs.

  1. Popular discourse on expert systems: communication patterns in the acculturation of an A. I. innovation

    Energy Technology Data Exchange (ETDEWEB)

    Opt, S.K.


    This study offers an organicist, trialectical communication perspective for analyzing the assumed relationship between technology and society. Other persons who have examined this relationship primarily have construed it as one in which (1) technology drives social change or (2) society drives technological change. Unanswered, though, is: what drives the relationship. This becomes the focus of this study. The study argues that understanding communication patterns about a technology (1) shows the processes by which human beings constitute sense-making scenarios about a technology, (2) makes salient the scenarios' implications for human needs, relationships, and worldview, and (3) provides an alternative approach to thinking about intervention into and side effects arising from the symbolic constitution of the future. The technology considered as case study is expert systems, and, by extension, artificial intelligence. The study focuses on the communication system of AI researchers, business persons, critics, and writers and their roles in inventing pasts, presents, and futures for the technology. The study finds that participants in discourse constitute names for expert systems in relation to the overarching ideology - the American dream.

  2. Ability of automatic detection of conflict between planes in flight simulations with the help of expert system

    National Research Council Canada - National Science Library

    Bartošová, Naděžda


    This article examines options for applying expert systems for the needs of identification of conflict situations between planes in flight simulations, which are applied during basic training of air traffic controllers...

  3. Expert systems and the CPI product substitution review: A needs analysis for the US Bureau of Labor Statistics

    Energy Technology Data Exchange (ETDEWEB)

    Arrowood, L.F.; Tonn, B.E.


    This report presents recommendations relative to the use of expert systems and machine learning techniques by the Bureau of Labor Statistics (BLS) to substantially automate product substitution decisions associated with the Consumer Price Index (CPI). Thirteen commercially available, PC-based expert system shells have received in-depth evaluations. Various machine learning techniques were also reviewed. Two recommendations are given: (1) BLS should use the expert system shell LEVEL5 OBJECT and establish a software development methodology for expert systems; and (2) BLS should undertake a small study to evaluate the potential of machine learning techniques to create and maintain the approximately 350 ELI-specific knowledge bases to be used in CPI product substitution review.

  4. Assessment of effectiveness of geologic isolation systems: the feasibility of computer interrogation of experts for WISAP

    Energy Technology Data Exchange (ETDEWEB)

    Wight, L.H.


    Simulation of the response of a waste repository to events that could initiate a fault tree to breach and failure is currently a keystone to the Battelle Waste Isolation Safety Assessment Program (WISAP). The repository simulation, which is part of the Disruptive Event Analysis Task, models the repository for its entire design life, one million years. This is clearly a challenging calculation, requiring input unlike any other response analysis by virtue of the long design life of the facility. What technology will provide design criteria for a million year design life. Answers to questions like this can, to some extent, be based on data, but always require some subjective judgments. The subjectivity, which is sometimes driven by inadequate or incomplete data or by a lack of understanding of the physical process, is therefore a crucial ingredient in an analysis of initiating events. Because of the variety of possible initiating events (glaciation, man-caused disruption, volcanism, etc.), many expert opinions will be solicited as input. The complexity of the simulation, the variety of experts involved, and the volume of applicable data all suggest that there may be a more direct, economical method to solicit the expert opinion. This report addresses the feasibility of such a system. Background information is presented that demonstrates the advantages of a computer interrogation system over conventional interrogation and assessment techniques. In the subsequent three sections the three elements - structure and decomposition, scaling, and synthesis - that are basic to any interrogation and assessment technique are reviewed. The interrelationship are schematically illustrated between these three fundamental elements and, therefore, serves as a useful guide to these three sections. Each of these three sections begins with a recommended approach to the particular element and ends with an illustration of representative dialogue.

  5. HEMOS (Hemologic Expert Marine Operational Support): An Expert Support System Prototype for Forecasting Blood Requirements for Marine Corps Medical Support. (United States)


    indicating where police assets -nxild be most advatageously utilized. Another example would be the Portfolio Management System (PMS) which is used by... write .the equation for the expected number of units of blood needed S ,TA <amalties for agent i, R as <" i R W x A ’ C i i i . - . . . . . . . . . . 7...are DNBI, then we can write the equatior for the number of units of blood required for all DNBI ,asualties, U, as U : (T x D) x (0.5) * If the equation

  6. The Development of an Expert System for Decision Making in Forest Resources Managemant

    Directory of Open Access Journals (Sweden)

    Nur Ilyana Mohd Zukki


    Full Text Available Tropical forests are a repository of biodiversity which provides habitats for more than 50% of the earth’s plant and animal species, an important sink for carbon stores which provides many goods and ecosystem services and a critical contributor to livelihoods, mainly of the indigenous groups which are totally dependent on forests. Yet, forests are under pressure. Tropical forests are among the earth’s most threatened ecosystems, particularly threatened by human activities and climate change. Consequently, tropical forests are loosing capacity to provide basic goods and services that are essentials to human livelihood. Hence, every decision involving forest utilization should consider various criteria that are important for sustainable forest management. However, making decision about forest resources management often involves balancing conflicting, inadequate and incompatible values of many users and usage of a resource. One of the most fundamental and difficult task is the effective integration of environmental, economic and social values to achieve and maintain ecologically sustainable development. Therefore, an integrated technology such as an Analytical Hierarchy Process and expert systems is essential to be performed in making decision process for forest resources management because an AHP method is capable to capture both tangible and intangible criteria. This study places emphasis on the development of expert system for forest resources management to assist decision makers to select the best forest resources use based on Malaysian Criteria and Indicators [(MC&I2002].

  7. A Quality Function Deployment-Based Expert System for Cotton Fibre Selection (United States)

    Chakraborty, Shankar; Prasad, Kanika


    The textile industries have seen resurgence in customers' demand for quality products during the preceding few years. This product range is extremely varied, with hand-spun and hand-woven products at one end of the spectrum, while products manufactured from the capital intensive sophisticated machineries at the other end. Since, cotton fibres are predominantly employed as the raw material for manufacturing these products, their proper selection is crucial for sustainable development of the textile/spinning industries. However, availability of numerous cotton fibre alternatives with various physical properties makes this selection process unwieldy and time consuming. Thus, there is need for a structured approach that can incorporate customers' demand into the selection process. This paper demonstrates the application of a structured and logical procedure of selecting the best cotton fibre type to fulfill a set of specified end product requirements through design and development of a quality function deployment (QFD)-based expert system. The QFD technique is employed here to provide due importance to the customers' spoken and unspoken needs, and subsequently calculate the priority weights of the considered cotton fibre properties. Two real time illustrative examples are presented to explicate the applicability and potentiality of the developed expert system to resolve cotton fibre selection problems.

  8. A QSTR-based Expert System to Predict Sweetness of Molecules (United States)

    Rojas, Cristian; Todeschini, Roberto; Ballabio, Davide; Mauri, Andrea; Consonni, Viviana; Tripaldi, Piercosimo; Grisoni, Francesca


    This work describes a novel approach based on advanced molecular similarity to predict the sweetness of chemicals. The proposed Quantitative Structure-Taste Relationship (QSTR) model is an expert system developed keeping in mind the five principles defined by the Organization for Economic Co-operation and Development for the validation of (Q)SARs. The 649 sweet and non-sweet molecules were described by both conformation-independent extended-connectivity fingerprints (ECFPs) and molecular descriptors. In particular, the molecular similarity in the ECFPs space showed a clear association with molecular taste and it was exploited for model development. Molecules laying in the subspaces where the taste assignation was more difficult were modelled trough a consensus between linear and local approaches (Partial Least Squares-Discriminant Analysis and N-nearest-neighbor classifier). The expert system, which was thoroughly validated through a Monte Carlo procedure and an external set, gave satisfactory results in comparison with the state-of-the-art models. Moreover, the QSTR model can be leveraged into a greater understanding of the relationship between molecular structure and sweetness, and into the design of novel sweeteners.

  9. Expert assessment of the resilience of drinking water and sanitation systems to climate-related hazards. (United States)

    Luh, Jeanne; Royster, Sarah; Sebastian, Daniel; Ojomo, Edema; Bartram, Jamie


    We conducted an expert assessment to obtain expert opinions on the relative global resilience of ten drinking water and five sanitation technologies to the following six climate-related hazards: drought, decreased inter-annual precipitation, flood, superstorm flood, wind damage, and saline intrusion. Resilience scores ranged from 1.7 to 9.9 out of a maximum resilience of 10, with high scores corresponding to high resilience. We find that for some climate-related hazards, such as drought, technologies demonstrated a large range in resilience, indicating that the choice of water and sanitation technologies is important for areas prone to drought. On the other hand, the range of resilience scores for superstorm flooding was much smaller, particularly for sanitation technologies, suggesting that the choice of technology is less of a determinant of functionality for superstorm flooding as compared to other climate-related hazards. For drinking water technologies, only treated piped utility-managed systems that use surface water had resilience scores >6.0 for all hazards, while protected dug wells were found to be one of the least resilient technologies, consistently scoring resilience, suggesting that sanitation systems need to be adapted to ensure functionality during and after climate-related hazards. The results of the study can be used to help communities decide which technologies are best suited for the climate-related challenges they face and help in future adaptation planning. Copyright © 2017 Elsevier B.V. All rights reserved.

  10. Experts' views regarding Australian school-leavers' knowledge of nutrition and food systems. (United States)

    Sadegholvad, Sanaz; Yeatman, Heather; Parrish, Anne-Maree; Worsley, Anthony


    To explore Australian experts' views regarding strengths and gaps in school-leavers' knowledge of nutrition and food systems ( N&FS) and factors that influence that knowledge. Semi-structured interviews were conducted with 21 highly experienced food-related experts in Australia. Qualitative data were analysed thematically using Attride-Stirling's thematic network framework. Two global themes and several organising themes were identified. The first global theme, 'structural curriculum-based problems', emerged from three organising themes of: inconsistencies in provided food education programs at schools in Australia; insufficient coverage of food-related skills and food systems topics in school curricula; and the lack of trained school teachers. The second global theme, 'insufficient levels of school-leavers knowledge of N&FS ', was generated from four organising themes, which together described Australian school-leavers' poor knowledge of N&FS more broadly and knowledge translation problem for everyday practices. Study findings identified key problems relating to current school-based N&FS education programs in Australia and reported knowledge gaps in relation to N&FS among Australian school-leavers. These findings provide important guidance for N&FS curriculum development, to clearly articulate broadly-based N&FS knowledge acquisition in curriculum policy and education documents for Australian schools. © 2017 The Authors.

  11. A center for commercial development of space: Real-time satellite mapping. Remote sensing-based agricultural information expert system (United States)

    Hadipriono, Fabian C.; Diaz, Carlos F.; Merritt, Earl S.


    The research project results in a powerful yet user friendly CROPCAST expert system for use by a client to determine the crop yield production of a certain crop field. The study is based on the facts that heuristic assessment and decision making in agriculture are significant and dominate much of agribusiness. Transfer of the expert knowledge concerning remote sensing based crop yield production into a specific expert system is the key program in this study. A knowledge base consisting of a root frame, CROP-YIELD-FORECAST, and four subframes, namely, SATELLITE, PLANT-PHYSIOLOGY, GROUND, and MODEL were developed to accommodate the production rules obtained from the domain expert. The expert system shell Personal Consultant Plus version 4.0. was used for this purpose. An external geographic program was integrated to the system. This project is the first part of a completely built expert system. The study reveals that much effort was given to the development of the rules. Such effort is inevitable if workable, efficient, and accurate rules are desired. Furthermore, abundant help statements and graphics were included. Internal and external display routines add to the visual capability of the system. The work results in a useful tool for the client for making decisions on crop yield production.

  12. Application of SeDeM Expert system in formulation development of effervescent tablets by direct compression. (United States)

    Khan, Amjad; Iqbal, Zafar; Rehman, Zahir; Nasir, Fazli; Khan, Abad; Ismail, M; Roohullah; Mohammad, Akhlaq


    The SeDeM expert system is a pre formulation tool applied for the prediction of the suitability of a material for direct compression. This innovative tool provides an index of good compressibility of the material indicating its aptitude to be compressed by direct compression. In the study the SeDeM expert system has been applied for the prediction of the behavior of the material to be used in the formulation of effervescent tablets by direct compression. Different formulations were developed on the basis of the results of the SeDeM expert system. Various parameters for the material as per the SeDeM expert system were determined according to their official and reported methods. Powder blend for different formulations was evaluated for their rheological properties while tablets were evaluated for various official and unofficial tests. Suitability of the material for direct compression was successfully predicted using the SeDeM expert system. Domperidone was found unsuitable for direct compression. During formulation all excipients responded as they were predicted as per the SeDeM expert system. Tablets produced using the resultant formulations were having sufficient mechanical strength, free of premature effervescence and were capable to be scaled up for commercial manufacturing.

  13. Aplikasi Expert System Troubleshoot Printer Canon Berbasis Web (Studi Kasus: CV SUNTEC Komputer

    Directory of Open Access Journals (Sweden)

    Beriman Panjaitan


    Full Text Available AbstrakPengguna printer pada umumnya tidak luput dari kerusakan atau masalah meskipun kerusakan itu mungkin bisa terjadi secara tiba-tiba tanpa sepengetahuan kita, peranan teknisi pun dibutuhkan. Pengguna atau pemilik printer yang tidak mengetahui penyebab-penyebab kerusakan dan cara mengecek di saat printer mengalami kerusakan. Sangat di sayangkan jika yang terjadi hanya kerusakan kecil yang semestinya dapat di perbaiki sendiri, sementara waktu menunggu perbaikan sudah cukup lama dan dan biaya yang dikeluarkan besar bila dibawa ke tempat service. Tugas akhir ini akan di rancang suatu perangkat lunak yang dapat melakukan pengecekan gejala pada printer dan akhirnya menemukan kemungkinan kerusakan pada printer solusinya. Aplikasi expert ini menggunakan bahasa pemograman PHP dan MySQL. Kata kunci: Sistem Pakar, Printer Canon,Website, PHP, MySQL Abstract Users printers are generally not spared from damage or problems despite the damage it might happen suddenly without our knowledge, the role of technicians was needed. User or printer owners who do not know the causes of damage and how to check in while the printer is damaged. Very regrettable if that happens only minor damage should be repaired itself, while the waiting time is long enough and the improvement and substantial costs incurred when brought into service. This final project will be designed a software that can check the symptoms on the printer and finally found the possibility of damage to the printer solution. This expert applications using the programming language PHP and MySQL.  Keywords: Expert System, Printer Canon,Website, PHP, MySQL

  14. Towards the development of a paediatric biopharmaceutics classification system: Results of a survey of experts. (United States)

    Batchelor, Hannah; Ernest, Terry; Flanagan, Talia; Klein, Sandra; Turner, Roy; Fotaki, Nikoletta; Storey, David


    The aim of this research survey was to understand current global thinking around the need for and development of a paediatric biopharmaceutics classification system (pBCS) to be used for the development of paediatric medicines and regulatory purposes (e.g. Biowaivers). A literature review highlighted the paucity of data in this area and therefore a survey was developed to better understand this topic to identify areas of common thinking and highlight future research needs. Global experts in paediatric biopharmaceutics were identified from existing networks and public forums. An online survey was developed and circulated broadly to maximise participation. Sixty individuals (including academics, health care professionals, pharmaceutical industry scientists and regulators) completed the survey, bringing together their views on the need for a pBCS. The results highlighted that the area of greatest concern was the definition of BCS II and IV drugs within this population and additional research is required to generate evidence to underpin this issue. In questions relating to permeability and dissolution consensus was generally reached within the expert population suggesting that little additional research is required to define suitable criteria. More than 90% of those experts who participated agreed that a pBCS would be useful for paediatric populations with a greater need identified for the younger populations (newborn and infants compared to adolescents). The results presented will facilitate further discussion and research into the evidence to underpin a relevant pBCS. These results highlight the need for additional evidence and guidance in this area. Copyright © 2016. Published by Elsevier B.V.

  15. Potential impacts of artificial intelligence expert systems on geothermal well drilling costs:

    Energy Technology Data Exchange (ETDEWEB)

    Satrape, J.V.


    The Geothermal research Program of the US Department of Energy (DOE) has as one of its goals to reduce the cost of drilling geothermal wells by 25 percent. To attain this goal, DOE continuously evaluates new technologies to determine their potential in contributing to the Program. One such technology is artifical intelligence (AI), a branch of computer science that, in recent years, has begun to impact the marketplace in a number of fields. Expert systems techniques can (and in some cases, already have) been applied to develop computer-based ''advisors'' to assist drilling personnel in areas such as designing mud systems, casing plans, and cement programs, optimizing drill bit selection and bottom hole asssembly (BHA) design, and alleviating lost circulation, stuck pipe, fishing, and cement problems. Intelligent machines with sensor and/or robotic directly linked to AI systems, have potential applications in areas of bit control, rig hydraulics, pipe handling, and pipe inspection. Using a well costing spreadsheet, the potential savings that could be attributed to each of these systems was calculated for three base cases: a dry steam well at The Geysers, a medium-depth Imerial Valley well, and a deep Imperial Valley well. Based on the average potential savings to be realized, expert systems for handling lost circulations problems and for BHA design are the most likely to produce significant results. Automated bit control and rig hydraulics also exhibit high potential savings, but these savings are extremely sensitive to the assumptions of improved drilling efficiency and the cost of these sytems at the rig. 50 refs., 19 figs., 17 tabs.

  16. Using Expert System Rules to establish data on Intersec-tions and Turns in Road Networks

    DEFF Research Database (Denmark)

    Nielsen, Otto Anker; Simonsen, Nikolaj; Frederiksen, Rasmus Dyhr


    Delays and restrictions in intersections contribute significant to the overall travel times in urban traffic networks and therefore also route choices. In practice, however, it is quite unusual to include intersection delays in traffic models, logistic models and route guidance systems. Time...... modelling to an existing network. The method requires a GIS-based network with link attributes as input data. The method has developed as an extension tool applicable to existing networks and therefore supply of additional data is normally not required.. By a set of ‘expert system rules’, the intersections......, although some edits had to be made manually. This was mainly the case for roundabouts and for intersections with a very special geometry. In conclusion, the method greatly reduced the burden establishing data sets for intersection delay modelling in urban traffic networks....

  17. A fuzzy expert system to Trust-Based Access Control in crowdsourcing environments

    Directory of Open Access Journals (Sweden)

    Olusegun Folorunso


    Full Text Available Crowdsourcing has been widely accepted across a broad range of application areas. In crowdsourcing environments, the possibility of performing human computation is characterized with risks due to the openness of their web-based platforms where each crowd worker joins and participates in the process at any time, causing serious effect on the quality of its computation. In this paper, a combination of Trust-Based Access Control (TBAC strategy and fuzzy-expert systems was used to enhance the quality of human computation in crowdsourcing environment. A TBAC-fuzzy algorithm was developed and implemented using MATLAB 7.6.0 to compute trust value (Tvalue, priority value as evaluated by fuzzy inference system (FIS and finally generate access decision to each crowd-worker. In conclusion, the use of TBAC is feasible in improving quality of human computation in crowdsourcing environments.

  18. Lithofacies identification using multiple adaptive resonance theory neural networks and group decision expert system (United States)

    Chang, H.-C.; Kopaska-Merkel, D. C.; Chen, H.-C.; Rocky, Durrans S.


    Lithofacies identification supplies qualitative information about rocks. Lithofacies represent rock textures and are important components of hydrocarbon reservoir description. Traditional techniques of lithofacies identification from core data are costly and different geologists may provide different interpretations. In this paper, we present a low-cost intelligent system consisting of three adaptive resonance theory neural networks and a rule-based expert system to consistently and objectively identify lithofacies from well-log data. The input data are altered into different forms representing different perspectives of observation of lithofacies. Each form of input is processed by a different adaptive resonance theory neural network. Among these three adaptive resonance theory neural networks, one neural network processes the raw continuous data, another processes categorial data, and the third processes fuzzy-set data. Outputs from these three networks are then combined by the expert system using fuzzy inference to determine to which facies the input data should be assigned. Rules are prioritized to emphasize the importance of firing order. This new approach combines the learning ability of neural networks, the adaptability of fuzzy logic, and the expertise of geologists to infer facies of the rocks. This approach is applied to the Appleton Field, an oil field located in Escambia County, Alabama. The hybrid intelligence system predicts lithofacies identity from log data with 87.6% accuracy. This prediction is more accurate than those of single adaptive resonance theory networks, 79.3%, 68.0% and 66.0%, using raw, fuzzy-set, and categorical data, respectively, and by an error-backpropagation neural network, 57.3%. (C) 2000 Published by Elsevier Science Ltd. All rights reserved.

  19. The TEX-I real-time expert system, applied to situation assessment for the SNR-300 reactor

    Energy Technology Data Exchange (ETDEWEB)

    Schmal, N.; Leder, H.J.; Schade, H.J.


    Interatom, a subsidiary company of Siemens, is developing expert systems for the technical domain. These systems are operating in various industrial applications like flexible manufacturing or plant configuration, based on a domain-specific expert system shell, developed by Interatom. Additional projects are focusing on real-time diagnostics, e.g., for nuclear power plants. The authors report in this paper about a diagnosis expert system for the liquid-metal fast breeder reactor SNR-300, which uses new real-time tools, developed within the German TEX-I project (technical expert systems for data interpretation, diagnosis, and process control). The purpose of the system is to support the reactor operators in assessing plant status in real time, based on readings from many sensors. By on-line connection to the process control computer, it can monitor all incoming signal values, check the consistency of data, continuously diagnose the current plant status, detect unusual trends prior to accidents, localize faulty components, and recommended operator response in abnormal conditions. In the present knowledge acquisition and test phase, the expert system is connected to a real-time simulation of the reactor. The simulator is based on a thermohydraulic code for simulation of the transient behavior of temperatures and flow rates in the reactor core, plena, pipes, pumps, valves, intermediate heat exchangers, and cooling components. Additionally, the system's response to an asynchronous operator interaction can be simulated.

  20. Xpros: a Fuzzy Expert System for Prospect Appraisal XPROS : un système expert flou pour l'évaluation de prospects

    Directory of Open Access Journals (Sweden)

    Li L. H.


    Full Text Available We have developed a fuzzy expert system (XPROS based on the fuzzy multicriteria decision-making paradigm for prospect evaluation. XPROS considers all available information, which are usually fragmentary and imprecise - the kind of information which cannot be incorporated in traditional methods. In essence, XPROS employs fuzzy implications to gauge satisfaction levels associated with each measure of the characteristics associated with the source rock, reservoir, trap, and seal. In this paper we describe XPROS illustrated with a case study. Nous avons développé un système expert flou, XPROS, qui s'appuie sur le paradigme de la prise de décision multicritères en univers incertain pour évaluer un prospect. XPROS utilise l'ensemble des informations disponibles, qu'on ne peut en général prendre en compte dans les méthodes conventionnelles, car elles sont souvent partielles et imprécises. XPROS exploite des implications floues pour calculer les niveaux de satisfaction associés aux diverses mesures des caractéristiques du prospect : roche-mère, réservoir, piège, couverture. Cet article contient la description de XPROS et une illustration sur un cas d'application.

  1. Development of an Expert System for the Evaluation of Students’ Curricula on the Basis of Competencies

    Directory of Open Access Journals (Sweden)

    Luis Enrique Sánchez


    Full Text Available The concept of competence, which emerged during the reform of computer engineering degrees, has not brought benefits to companies when attempting to select the most suitable candidates for their jobs. This article aims to show some of the research that has been conducted to determine why companies have not found these skills useful and how both can be aligned. Finally, we show the development of an Expert System that will enable companies to select the most suitable candidates for their jobs, considering personal and social skills, along with technical knowledge. This prototype will serve as a basis to align the competencies defined in the curricula with professional requirements, thus allowing a true alignment between degree courses and the needs of professional companies.

  2. An analytical study on indifference management in educational system of Iran: Reflection on expert's opinions

    Directory of Open Access Journals (Sweden)

    Abolfazli Elham


    Full Text Available This study attempted to explore and analyse the indifference management trend in the Educational system of Iran. This objective was achieved through a qualitative approach and grounded theory. The population included all educational management professionals and experts who had at least two years of management experience. Twenty-four individuals were selected through purposive sampling based on theoretical data saturation. In order to collect research data, semi-structured interviews were adopted. Moreover, the results were evaluated through systematic analysis method based on open, core and selective coding. The findings suggested that the causal conditions affecting indifference management entail eight dimensions: job motivation, employee development, organisational culture, organisational climate, attitude and manager's performance, employee attitude, work environment and nature of work. Organisational culture, organisational climate and workplace conditions were the underlying factors of indifference management, while behaviour and performance of managers were mediating or confounding conditions, playing a dramatic role in indifference management.

  3. Strategy for Developing Expert-System-Based Internet Protocols (TCP/IP) (United States)

    Ivancic, William D.


    The Satellite Networks and Architectures Branch of NASA's Lewis Research is addressing the issue of seamless interoperability of satellite networks with terrestrial networks. One of the major issues is improving reliable transmission protocols such as TCP over long latency and error-prone links. Many tuning parameters are available to enhance the performance of TCP including segment size, timers and window sizes. There are also numerous congestion avoidance algorithms such as slow start, selective retransmission and selective acknowledgment that are utilized to improve performance. This paper provides a strategy to characterize the performance of TCP relative to various parameter settings in a variety of network environments (i.e. LAN, WAN, wireless, satellite, and IP over ATM). This information can then be utilized to develop expert-system-based Internet protocols.

  4. A System for Ontology-Based Sharing of Expert Knowledge in Sustainability Science

    Directory of Open Access Journals (Sweden)

    Steven Kraines


    Full Text Available Work towards creation of a knowledge sharing system for sustainability science through the application of semantic data modeling is described. An ontology grounded in description logics was developed based on the ISO 15926 data model to describe three types of sustainability science conceptualizations: situational knowledge, analytic methods, and scenario frameworks. Semantic statements were then created using this ontology to describe expert knowledge expressed in research proposals and papers related to sustainability science and in scenarios for achieving sustainable societies. Semantic matching based on logic and rule-based inference was used to quantify the conceptual overlap of semantic statements, which shows the semantic similarity of topics studied by different researchers in sustainability science, similarities that might be unknown to the researchers themselves.

  5. The Generic Spacecraft Analyst Assistant (GenSAA): A tool for automating spacecraft monitoring with expert systems (United States)

    Hughes, Peter M.; Luczak, Edward C.


    Flight Operations Analysts (FOAs) in the Payload Operations Control Center (POCC) are responsible for monitoring a satellite's health and safety. As satellites become more complex and data rates increase, FOAs are quickly approaching a level of information saturation. The FOAs in the spacecraft control center for the COBE (Cosmic Background Explorer) satellite are currently using a fault isolation expert system named the Communications Link Expert Assistance Resource (CLEAR), to assist in isolating and correcting communications link faults. Due to the success of CLEAR and several other systems in the control center domain, many other monitoring and fault isolation expert systems will likely be developed to support control center operations during the early 1990s. To facilitate the development of these systems, a project was initiated to develop a domain specific tool, named the Generic Spacecraft Analyst Assistant (GenSAA). GenSAA will enable spacecraft analysts to easily build simple real-time expert systems that perform spacecraft monitoring and fault isolation functions. Lessons learned during the development of several expert systems at Goddard, thereby establishing the foundation of GenSAA's objectives and offering insights in how problems may be avoided in future project, are described. This is followed by a description of the capabilities, architecture, and usage of GenSAA along with a discussion of its application to future NASA missions.

  6. SeTES, a Self-Teaching Expert System for the analysis, design and prediction of gas production from shales and a prototype for a new generation of Expert Systems in the Earth Sciences (United States)

    Kuzma, H. A.; Boyle, K.; Pullman, S.; Reagan, M. T.; Moridis, G. J.; Blasingame, T. A.; Rector, J. W.; Nikolaou, M.


    A Self Teaching Expert System (SeTES) is being developed for the analysis, design and prediction of gas production from shales. An Expert System is a computer program designed to answer questions or clarify uncertainties that its designers did not necessarily envision which would otherwise have to be addressed by consultation with one or more human experts. Modern developments in computer learning, data mining, database management, web integration and cheap computing power are bringing the promise of expert systems to fruition. SeTES is a partial successor to Prospector, a system to aid in the identification and evaluation of mineral deposits developed by Stanford University and the USGS in the late 1970s, and one of the most famous early expert systems. Instead of the text dialogue used in early systems, the web user interface of SeTES helps a non-expert user to articulate, clarify and reason about a problem by navigating through a series of interactive wizards. The wizards identify potential solutions to queries by retrieving and combining together relevant records from a database. Inferences, decisions and predictions are made from incomplete and noisy inputs using a series of probabilistic models (Bayesian Networks) which incorporate records from the database, physical laws and empirical knowledge in the form of prior probability distributions. The database is mainly populated with empirical measurements, however an automatic algorithm supplements sparse data with synthetic data obtained through physical modeling. This constitutes the mechanism for how SeTES self-teaches. SeTES’ predictive power is expected to grow as users contribute more data into the system. Samples are appropriately weighted to favor high quality empirical data over low quality or synthetic data. Finally, a set of data visualization tools digests the output measurements into graphical outputs.

  7. Expert system for failure analysis of shafts; Sistema experto para analisis de falla de ejes

    Energy Technology Data Exchange (ETDEWEB)

    Jacobo Armendariz, V.H.; Cerrud Sanchez, S.M.; Ramirez Rodriguez, M.A.; Ortiz Prado, A. [Facultad de Ingenieria, UNAM, Mexico, D.F. (Mexico)


    An expert system for the failure analysis in metallic mechanical devices is being Developer at the Mechanical Engineering departments of the Faculty of Engineering of the Universidad Nacional Autonoma de Mexico (UNAM) to provide a solution for the failure analysis in cases where considerable experience in needed. The system pretends to resolve the scarceness of experts in the field of failure analysis and is oriented toward the metal-mechanics industry and will also have didactic applications. The main complication in the development of the system is the broad range of applications envisioned, like gears, shafts, bolts and springs between others. Therefore, it was decided to develop the system in a modular way, using the experience obtained in a first module to proceed faster in the others. The present paper presents the elaboration of the module that analyses shafts. This will serve as the base to expand the system toward other components. It uses the general structure of the global system, including an auxiliary software for the determination of maximum stresses in the corresponding parts. [Spanish] Con el fin de contar con un medio eficaz para la solucion de problemas relacionados con el analisis de falla, en donde la experiencia juega un papel fundamental, el Departamento de Ingenieria Mecanica de la Facultad de ingenieria de la Universidad Nacional Autonoma de Mexico (UNAM) , esta desarrollando el proyecto Sistema experto para analisis de falla de elementos mecanicos, dicho sistema busca resolver el inconveniente de la escasez de expertos y se orienta, tanto a la necesidad de la industria metalmecanica como a la de la docencia. Presenta tambien complicaciones en su desarrollo, ya que se pretende la posibilidad de realizar analisis de falla de elementos como ejes, engranes, pernos, bielas, resortes, tornillos etc. Por lo anterior, se establecio como estrategia el desarrollo del sistema por modulos, ya que teniendo la experiencia de elaboracion de un primer

  8. Perception and expectation of iran neonatal transport expert regard to developing neonatal transport system in iran: a qualitative research. (United States)

    Hosseini, Mohammad-Bager; Jannati, Ali; Gholipour, Kamal; Heidarzadeh, Mohammad; Iezadi, Shabnam; Mojahed, Farokh; Vahidi, Reza Gholi


    This study was aimed to reach expert's expectations of neonatal transport system for developing neonatal transport system in Iran. This is a qualitative study conducted by using focus group discussion (FGD) to present expert's perspectives and expectancy about neonatal transport system. Participants was selected from all experts and specialist about neonatal transport in Iran countryside. Finally 48 experts, participate in this study. To data collection 4 FGD were conducted, data were analyzed by content analyses. All subthemes were categorized in main themes according to conceptual relationship as an expert panels opinions. In order to comply with the ethical issues involved in the study was voluntary, also permission for the recording session were taken and confidentiality was also ensured. According to FGD results, 11 themes and 90 subthemes were founded related to neonatal transport system, the main identified themes included: Aims, necessity and models of neonatal transport system, organizing the transport system, management and quality of instruments in the transport system, Neonatal transport system staff, Human resource management and issue related to human resources, conditions and requirements of neonatal transport system, facilitating factors in neonatal transport system, information management and communication system and weakness of neonatal transport system. Neonatal transport systems in different countries must adapted according to situation and component of each country have different strength and weakness and in implementing a system must attend to geographical conditions, financial ability and access to professionals, health system structure, facilities related to neonatal health care, antenatal services in regain, health care related, health care program about neonates and pregnant women and epidemiological status and mortality and morbidity in deferent locals and regains in countryside.

  9. A Logic-Based Prototyping Environment For Process Oriented Second Generation Expert Systems (United States)

    Freeman, Edward H.


    Logic programming methods have been used to implement an expert system shell which represents and reasons about the implications of causal event streams, in arbitrarily complex causal networks. The system features the capability of "forward" and "backward" inference, "fuzzy" causal inference, default vs conditional reasoning, the ability to combine 1st generation "if-then" heuristics with 2nd generation structural inference during fault diagnosis exercises and the ability to generate inferences from empirical data as well as from conceptually based models of causal relationships. A description of the direct causal connections between pairs of focal events (the causal topology), along with the enumeration of policy variables (manipulable inputs), system observables (events which can be observed) and goal variables (desired outputs) enable declarative representations of meta-level causal structures used during the causal inference process. The simplicity of these input requirements, the expressive power of an open ended Logic Programming environment and the availability of a rich set of analytic tools all combine to provide the knowledge engineer with the ability to quickly build systems which can reason symbolically about complex causal structures.

  10. Combining an expert-based medical entity recognizer to a machine-learning system: methods and a case study. (United States)

    Zweigenbaum, Pierre; Lavergne, Thomas; Grabar, Natalia; Hamon, Thierry; Rosset, Sophie; Grouin, Cyril


    Medical entity recognition is currently generally performed by data-driven methods based on supervised machine learning. Expert-based systems, where linguistic and domain expertise are directly provided to the system are often combined with data-driven systems. We present here a case study where an existing expert-based medical entity recognition system, Ogmios, is combined with a data-driven system, Caramba, based on a linear-chain Conditional Random Field (CRF) classifier. Our case study specifically highlights the risk of overfitting incurred by an expert-based system. We observe that it prevents the combination of the 2 systems from obtaining improvements in precision, recall, or F-measure, and analyze the underlying mechanisms through a post-hoc feature-level analysis. Wrapping the expert-based system alone as attributes input to a CRF classifier does boost its F-measure from 0.603 to 0.710, bringing it on par with the data-driven system. The generalization of this method remains to be further investigated.

  11. A Simple and Effective Remedial Learning System with a Fuzzy Expert System (United States)

    Lin, C.-C.; Guo, K.-H.; Lin, Y.-C.


    This study aims at implementing a simple and effective remedial learning system. Based on fuzzy inference, a remedial learning material selection system is proposed for a digital logic course. Two learning concepts of the course have been used in the proposed system: number systems and combinational logic. We conducted an experiment to validate…

  12. Expert-guided hybrid dynamical-statistical seasonal prediction system: An application for the seasonal outlook in Korea (United States)

    Kim, WonMoo; Yeo, Sae-Rim; Kim, Yoojin


    An Expert Seasonal Prediction System for operational Seasonal Outlook (ESPreSSO) is developed based on APEC Climate Center (APCC) Multi-Model Ensemble (MME) dynamical prediction and expert-guided statistical downscaling techniques. Dynamical models have improved to provide meaningful seasonal prediction, and their prediction skills are further improved by various ensemble and downscaling techniques. However, experienced scientists and forecasters make subjective correction for the operational seasonal outlook due to limited prediction skills and biases of dynamical models. Here, a hybrid seasonal prediction system that grafts experts' knowledge, experience, and understanding onto dynamical MME prediction is developed to guide operational seasonal outlook. The system will operate under the following assumptions: a) dynamical models have some prediction skills, whether they are systematically biased, b) target variables are dynamically homogeneous enough to be controlled by similar processes, but heterogeneous enough to generate diversity in potential predictors, and c) experts have keen knowledge on observed dynamics, model performance, and ESPreSSO per se. The basis dynamical prediction is based on the APCC MME, which are statistically mapped onto the station-based observations by experienced experts. Their subjective selection undergoes objective screening and quality control to generate final seasonal outlook products after physical ensemble averaging. The prediction system is constructed based on 23-year training period of 1983-2005, and its performance and stability is assessed for the independent 11-year prediction period of 2006-2016. The results show much improved and stable prediction skill compared to the draw MME prediction results.

  13. Development of an evolutionary fuzzy expert system for estimating future behavior of stock price (United States)

    Mehmanpazir, Farhad; Asadi, Shahrokh


    The stock market has always been an attractive area for researchers since no method has been found yet to predict the stock price behavior precisely. Due to its high rate of uncertainty and volatility, it carries a higher risk than any other investment area, thus the stock price behavior is difficult to simulation. This paper presents a "data mining-based evolutionary fuzzy expert system" (DEFES) approach to estimate the behavior of stock price. This tool is developed in seven-stage architecture. Data mining is used in three stages to reduce the complexity of the whole data space. The first stage, noise filtering, is used to make our raw data clean and smooth. Variable selection is second stage; we use stepwise regression analysis to choose the key variables been considered in the model. In the third stage, K-means is used to divide the data into sub-populations to decrease the effects of noise and rebate complexity of the patterns. At next stage, extraction of Mamdani type fuzzy rule-based system will be carried out for each cluster by means of genetic algorithm and evolutionary strategy. In the fifth stage, we use binary genetic algorithm to rule filtering to remove the redundant rules in order to solve over learning phenomenon. In the sixth stage, we utilize the genetic tuning process to slightly adjust the shape of the membership functions. Last stage is the testing performance of tool and adjusts parameters. This is the first study on using an approximate fuzzy rule base system and evolutionary strategy with the ability of extracting the whole knowledge base of fuzzy expert system for stock price forecasting problems. The superiority and applicability of DEFES are shown for International Business Machines Corporation and compared the outcome with the results of the other methods. Results with MAPE metric and Wilcoxon signed ranks test indicate that DEFES provides more accuracy and outperforms all previous methods, so it can be considered as a superior tool for

  14. Combined expert system/neural networks method for process fault diagnosis (United States)

    Reifman, Jaques; Wei, Thomas Y. C.


    A two-level hierarchical approach for process fault diagnosis is an operating system employs a function-oriented approach at a first level and a component characteristic-oriented approach at a second level, where the decision-making procedure is structured in order of decreasing intelligence with increasing precision. At the first level, the diagnostic method is general and has knowledge of the overall process including a wide variety of plant transients and the functional behavior of the process components. An expert system classifies malfunctions by function to narrow the diagnostic focus to a particular set of possible faulty components that could be responsible for the detected functional misbehavior of the operating system. At the second level, the diagnostic method limits its scope to component malfunctions, using more detailed knowledge of component characteristics. Trained artificial neural networks are used to further narrow the diagnosis and to uniquely identify the faulty component by classifying the abnormal condition data as a failure of one of the hypothesized components through component characteristics. Once an anomaly is detected, the hierarchical structure is used to successively narrow the diagnostic focus from a function misbehavior, i.e., a function oriented approach, until the fault can be determined, i.e., a component characteristic-oriented approach.

  15. Combined expert system/neural networks method for process fault diagnosis (United States)

    Reifman, J.; Wei, T.Y.C.


    A two-level hierarchical approach for process fault diagnosis of an operating system employs a function-oriented approach at a first level and a component characteristic-oriented approach at a second level, where the decision-making procedure is structured in order of decreasing intelligence with increasing precision. At the first level, the diagnostic method is general and has knowledge of the overall process including a wide variety of plant transients and the functional behavior of the process components. An expert system classifies malfunctions by function to narrow the diagnostic focus to a particular set of possible faulty components that could be responsible for the detected functional misbehavior of the operating system. At the second level, the diagnostic method limits its scope to component malfunctions, using more detailed knowledge of component characteristics. Trained artificial neural networks are used to further narrow the diagnosis and to uniquely identify the faulty component by classifying the abnormal condition data as a failure of one of the hypothesized components through component characteristics. Once an anomaly is detected, the hierarchical structure is used to successively narrow the diagnostic focus from a function misbehavior, i.e., a function oriented approach, until the fault can be determined, i.e., a component characteristic-oriented approach. 9 figs.

  16. Preliminary PANSAT ground station software design and use of an expert system to analyze telemetry (United States)

    Lawrence, Gregory W.


    The Petite Amateur Navy Satellite (PANSAT) is a communications satellite designed to be used by civilian amateur radio operators. A master ground station is being built at the Naval Postgraduate School. This computer system performs satellite commands, displays telemetry, trouble-shoots problems, and passes messages. The system also controls an open loop tracking antenna. This paper concentrates on the telemetry display, decoding, and interpretation through artificial intelligence (AI). The telemetry is displayed in an easily interpretable format, so that any user can understand the current health of the satellite and be cued as to any problems and possible solutions. Only the master ground station has the ability to receive all telemetry and send commands to the spacecraft; civilian ham users do not have access to this information. The telemetry data is decommutated and analyzed before it is displayed to the user, so that the raw data will not have to be interpreted by ground users. The analysis will use CLIPS imbedded in the code, and derive its inputs from telemetry decommutation. The program is an expert system using a forward chaining set of rules based on the expected operation and parameters of the satellite. By building the rules during the construction and design of the satellite, the telemetry can be well understood and interpreted after the satellite is launched and the designers may no longer be available to provide input to the problem.


    Directory of Open Access Journals (Sweden)

    Kostikov Mykola


    Full Text Available When creating computer-assisted language learning software, it is necessary to use the potential of information technology in controlling the learning process fully. Modern intelligent tutoring systems help to make this process adaptive and personalized thanks to modeling the domain and students’ knowledge. The aim of the paper is to investigate possibilities for applying these methods in teaching Polish grammar in Ukraine taking into account its specifics. The article is concerned with the approaches of using student models in modern intelligent tutoring systems in order to provide personalized learning. A structure of the student model and a general working algorithm of the expert tutoring system of Polish grammar have been developed. The modeling of knowing and forgetting particular learning elements within the probabilistic (stochastic model has been studied, as well as the prognostication of future probabilities of students’ knowledge, taking into account their individual forgetting rates. The objective function of instruction quality with allowance for frequency of grammar rules within a certain amount of words being learned and their connections to another rules has been formulated. The problem of generating the next learning step taking into account the need for mastering previous, connected rules has been studied, as well as determining the optimal time period between the lessons depending on the current knowledge level.

  18. Perancangan Sistem Monitoring Penyelesaian Berkas Pidana Dengan Metode Rule Based Expert Systems dan Teknologi Radio Frequency Identification

    Directory of Open Access Journals (Sweden)

    mar fuah


    Full Text Available The process of criminal cases settlement is based on the regulation of time limit on trial. It is difficult to see the each stage of process because of the number of case files handled. To know the status of settlement, it needs monitoring system of RFID technology built by design to a model of Rule Based Expert Systems. It facilitates the process of data files so it can produce the right, quick and accurate report. The priority of criminal case files is based on the level of completion difficulty while the tracking involves 3 locations: police, public prosecutor and district court. Rule Based Expert System method works following an expert's knowledge in solving a problem. The design that has been made is capable of being implemented and according to the user’s needs. It helps to quickly generate the right information of criminal case settling time process.


    Directory of Open Access Journals (Sweden)

    O. O. Matusevych


    Full Text Available The author proposed the numerous methods of solving the multi-criterion task – increasing of reliability of control system on the basis of expert information. The information, which allows choosing thoughtfully the method of reliability increasing for a control system of electric transport, is considered.

  20. Development of expert systems for modeling of technological process of pressure casting on the basis of artificial intelligence (United States)

    Gavarieva, K. N.; Simonova, L. A.; Pankratov, D. L.; Gavariev, R. V.


    In article the main component of expert system of process of casting under pressure which consists of algorithms, united in logical models is considered. The characteristics of system showing data on a condition of an object of management are described. A number of logically interconnected steps allowing to increase quality of the received castings is developed

  1. Development of an expert system for hazard/emergency control and training

    Energy Technology Data Exchange (ETDEWEB)

    Aubrey, J.; Nemes-Nemeth, Z.; Beatty, J.; Hamment, J.; Wright, L. (Australian Coal Industry Research Labs. Ltd., North Ryde, NSW (Australia))


    The objective was to create and demonstrate an expert system in hazard and emergency control capable of: diagnosing the likely causes of the problem and advising mine management of optimum choices before the arrival of the rescue team; and using the information to assist the rescue team. The resultant system can also be used for training mining personnel and rescue teams in correct procedures under emergency or hazard conditions. The methodology consisted of collating existing expertise in the field of mine hazard and emergency control and sorting this in a knowledge-based computer system. Information was gathered from interviews with known authorities, documented procedures and regulations, disaster reports, conferences and texts. The most useful forms of disseminating the gathered knowledge were also investigated. Initially a prototype allowed testing of the knowledge-representation structures and the reasoning mechanism of the system. From this prototype, the user interface was designed to be as straight-forward to use as possible, and features mouse control, nested menus and touch screen technology. The completed system, the Emergency Control Advisory System (ECAS), can assist mining personnel and management before the arrival of the mines rescue team by giving cool and comprehensive advice, and ensuring nothing is overlooked. It is also able to inform the mines rescue team about decisions taken before their arrival, and give general information of the status of the emergency. It also serves as an invaluable educational training facility. The work was recognised in an award from the American Association for Artificial Intelligence for Innovation of an Artificial Intelligence Application.

  2. Land cover classification with an expert system approach using Landsat ETM imagery: a case study of Trabzon. (United States)

    Kahya, Oguzhan; Bayram, Bulent; Reis, Selcuk


    The main objective of this study is to generate a knowledge base which is composed of user-defined variables and included raster imagery, vector coverage, spatial models, external programs, and simple scalars and to develop an expert classification using Landsat 7 (ETM+) imagery for land cover classification in a part of Trabzon city. Expert systems allow for the integration of remote-sensed data with other sources of geo-referenced information such as land use data, spatial texture, and digital elevation model to obtain greater classification accuracy. Logical decision rules are used with the various datasets to assign class values for each pixel. Expert system is very suitable for the work of image interpretation as a powerful means of information integration. Landsat ETM data acquired in the year 2000 were initially classified into seven classes for land cover using a maximum likelihood decision rule. An expert system was constructed to perform post-classification sorting of the initial land cover classification using additional spatial datasets such as land use data. The overall accuracy of expert classification was 95.80%. Individual class accuracy ranged from 75% to 100% for each class.

  3. Regionalization by fuzzy expert system based approach optimized by genetic algorithm (United States)

    Chavoshi, Sattar; Azmin Sulaiman, Wan Nor; Saghafian, Bahram; Bin Sulaiman, Md. Nasir; Manaf, Latifah Abd


    SummaryIn recent years soft computing methods are being increasingly used to model complex hydrologic processes. These methods can simulate the real life processes without prior knowledge of the exact relationship between their components. The principal aim of this paper is perform hydrological regionalization based on soft computing concepts in the southern strip of the Caspian Sea basin, north of Iran. The basin with an area of 42,400 sq. km has been affected by severe floods in recent years that caused damages to human life and properties. Although some 61 hydrometric stations and 31 weather stations with 44 years of observed data (1961-2005) are operated in the study area, previous flood studies in this region have been hampered by insufficient and/or reliable observed rainfall-runoff records. In order to investigate the homogeneity (h) of catchments and overcome incompatibility that may occur on boundaries of cluster groups, a fuzzy expert system (FES) approach is used which incorporates physical and climatic characteristics, as well as flood seasonality and geographic location. Genetic algorithm (GA) was employed to adjust parameters of FES and optimize the system. In order to achieve the objective, a MATLAB programming code was developed which considers the heterogeneity criteria of less than 1 (H < 1) as the satisfying criteria. The adopted approach was found superior to the conventional hydrologic regionalization methods in the region because it employs greater number of homogeneity parameters and produces lower values of heterogeneity criteria.

  4. Intelligent Control of Welding Gun Pose for Pipeline Welding Robot Based on Improved Radial Basis Function Network and Expert System


    Jingwen Tian; Meijuan Gao; Yonggang He


    Since the control system of the welding gun pose in whole‐position welding is complicated and nonlinear, an intelligent control system of welding gun pose for a pipeline welding robot based on an improved radial basis function neural network (IRBFNN) and expert system (ES) is presented in this paper. The structure of the IRBFNN is constructed and the improved genetic algorithm is adopted to optimize the network structure. This control system makes full use of the characteristics of the IRBFNN...

  5. PREFACE: WMO/GEO Expert Meeting On An International Sand And Dust Storm Warning System (United States)

    Pérez, C.; Baldasano, J. M.


    This volume of IOP Conference Series: Earth and Environmental Science presents a selection of papers that were given at the WMO/GEO Expert Meeting on an International Sand and Dust Storm Warning System hosted by the Barcelona Supercomputing Center - Centro Nacional de Supercomputación in Barcelona (Spain) on 7-9 November 2007 ( A sand and dust storm (SDS) is a meteorological phenomenon common in arid and semi-arid regions and arises when a gust front passes or when the wind force exceeds the threshold value where loose sand and dust are removed from the dry surface. After aeolian uptake, SDS reduce visibility to a few meters in and near source regions, and dust plumes are transported over distances as long as thousands of kilometres. Aeolian dust is unique among aerosol phenomena: (1) with the possible exception of sea-salt aerosol, it is globally the most abundant of all aerosol species, (2) it appears as the dominating component of atmospheric aerosol over large areas of the Earth, (3) it represents a serious hazard for life, health, property, environment and economy (occasionally reaching the grade of disaster or catastrophic event) and (4) its influence, impacts, complex interactions and feedbacks within the Earth System span a wide range of spatial and temporal scales. From a political and societal point of view, the concern for SDS and the need for international cooperation were reflected after a survey conducted in 2005 by the World Meteorological Organization (WMO) in which more than forty WMO Member countries expressed their interest for creating or improving capacities for SDS warning advisory and assessment. In this context, recent major advances in research - including, for example, the development and implementation of advanced observing systems, the theoretical understanding of the mechanisms responsible for sand and dust storm generation and the development of global and regional dust models - represent the basis for

  6. IBZM tool: a fully automated expert system for the evaluation of IBZM SPECT studies

    Energy Technology Data Exchange (ETDEWEB)

    Buchert, Ralph; Wilke, Florian; Martin, Brigitte; Borczyskowski, Daniel von; Mester, Janos; Brenner, Winfried; Clausen, Malte [University Medical Center Hamburg-Eppendorf, Department of Nuclear Medicine, Hamburg (Germany); Berding, Georg [University School of Medicine Hannover, Department of Nuclear Medicine, Hannover (Germany)


    Visual reading of [{sup 123}I]IBZM SPECT scans depends on the experience of the interpreter. Therefore, semi-quantification of striatal IBZM uptake is commonly considered mandatory. However, semi-quantification is time consuming and prone to error, particularly if the volumes of interest (VOIs) are positioned manually. Therefore, the present paper proposes a new software tool (''IBZM tool'') for fully automated and standardised processing, evaluation and documentation of [{sup 123}I]IBZM SPECT scans. The IBZM tool is an easy-to-use SPM toolbox. It includes automated procedures for realignment and summation of multiple frames (motion correction), stereotactic normalisation, scaling, VOI analysis of striatum-to-reference ratio R, classification of R and standardised display. In order to evaluate the tool, which was developed at the University of Hamburg, the tool was transferred to the University of Hannover. There it was applied to 27 well-documented subjects: eight patients with multi-system atrophy (MSA), 12 patients with Parkinson's disease (PD) and seven controls. The IBZM tool was compared with manual VOI analysis. The sensitivity and specificity of the IBZM tool for the differentiation of the MSA subjects from the controls were 100% and 86%, respectively. The IBZM tool provided improved statistical power compared with manual VOI analysis. The IBZM tool is an expert system for the detection of reduced striatal D{sub 2} availability on [{sup 123}I]IBZM SPECT scans. The standardised documentation supports visual and semi-quantitative evaluation, and it is useful for presenting the findings to the referring physician. The IBZM tool has the potential for widespread use, since it appears to be fairly independent of the performance characteristics of the particular SPECT system used. The tool is available free of charge. (orig.)

  7. IMG ER: A System for Microbial Genome Annotation Expert Review and Curation

    Energy Technology Data Exchange (ETDEWEB)

    Markowitz, Victor M.; Mavromatis, Konstantinos; Ivanova, Natalia N.; Chen, I-Min A.; Chu, Ken; Kyrpides, Nikos C.


    A rapidly increasing number of microbial genomes are sequenced by organizations worldwide and are eventually included into various public genome data resources. The quality of the annotations depends largely on the original dataset providers, with erroneous or incomplete annotations often carried over into the public resources and difficult to correct. We have developed an Expert Review (ER) version of the Integrated Microbial Genomes (IMG) system, with the goal of supporting systematic and efficient revision of microbial genome annotations. IMG ER provides tools for the review and curation of annotations of both new and publicly available microbial genomes within IMG's rich integrated genome framework. New genome datasets are included into IMG ER prior to their public release either with their native annotations or with annotations generated by IMG ER's annotation pipeline. IMG ER tools allow addressing annotation problems detected with IMG's comparative analysis tools, such as genes missed by gene prediction pipelines or genes without an associated function. Over the past year, IMG ER was used for improving the annotations of about 150 microbial genomes.

  8. Heart Health Risk Assessment System: A Nonintrusive Proposal Using Ontologies and Expert Rules

    Directory of Open Access Journals (Sweden)

    Teresa Garcia-Valverde


    Full Text Available According to the World Health Organization, the world’s leading cause of death is heart disease, with nearly two million deaths per year. Although some factors are not possible to change, there are some keys that help to prevent heart diseases. One of the most important keys is to keep an active daily life, with moderate exercise. However, deciding what a moderate exercise is or when a slightly abnormal heart rate value is a risk depends on the person and the activity. In this paper we propose a context-aware system that is able to determine the activity the person is performing in an unobtrusive way. Then, we have defined ontology to represent the available knowledge about the person (biometric data, fitness status, medical information, etc. and her current activity (level of intensity, heart rate recommended for that activity, etc.. With such knowledge, a set of expert rules based on this ontology are involved in a reasoning process to infer levels of alerts or suggestions for the users when the intensity of the activity is detected as dangerous for her health. We show how this approach can be accomplished by using only everyday devices such as a smartphone and a smartwatch.

  9. Expert System for Competences Evaluation 360° Feedback Using Fuzzy Logic

    Directory of Open Access Journals (Sweden)

    Alberto Alfonso Aguilar Lasserre


    Full Text Available Performance evaluation (PE is a process that estimates the employee overall performance during a given period, and it is a common function carried out inside modern companies. PE is important because it is an instrument that encourages employees, organizational areas, and the whole company to have an appropriate behavior and continuous improvement. In addition, PE is useful in decision making about personnel allocation, productivity bonuses, incentives, promotions, disciplinary measures, and dismissals. There are many performance evaluation methods; however, none is universal and common to all companies. This paper proposes an expert performance evaluation system based on a fuzzy logic model, with competences 360° feedback oriented to human behavior. This model uses linguistic labels and adjustable numerical values to represent ambiguous concepts, such as imprecision and subjectivity. The model was validated in the administrative department of a real Mexican manufacturing company, where final results and conclusions show the fuzzy logic method advantages in comparison with traditional 360° performance evaluation methodologies.

  10. Manufacturing processes in the textile industry. Expert Systems for fabrics production

    Directory of Open Access Journals (Sweden)

    Juan BULLON


    Full Text Available The textile industry is characterized by the economic activity whose objective is the production of fibres, yarns, fabrics, clothing and textile goods for home and decoration,as well as technical and industrial purposes. Within manufacturing, the Textile is one of the oldest and most complex sectors which includes a large number of sub-sectors covering the entire production cycle, from raw materials and intermediate products, to the production of final products. Textile industry activities present different subdivisions, each with its own traits. The length of the textile process and the variety of its technical processes lead to the coexistence of different sub-sectors in regards to their business structure and integration. The textile industry is developing expert systems applications to increase production, improve quality and reduce costs. The analysis of textile designs or structures includes the use of mathematical models to simulate the behavior of the textile structures (yarns, fabrics and knitting. The Finite Element Method (FEM has largely facilitated the prediction of the behavior of that textile structure under mechanical loads. For classification problems Artificial Neural Networks (ANNs haveproved to be a very effective tool as a quick and accurate solution. The Case-Based Reasoning (CBR method proposed in this study complements the results of the finite element simulation, mathematical modeling and neural networks methods.

  11. Detailed and exhaustive study of the authentication of European virgin olive oils by SEXIA expert system

    Directory of Open Access Journals (Sweden)

    Aparicio, R.


    Full Text Available The authentication of extra virgin olive oils from different regions of Spain, Italy and Portugal, by means of their fatty acids, alcohols, sterols, methyl sterols and hydrocarbons content, has been investigated. Multivariate statistical methods and Evidence's Theory were applied. The comparative study shows greater predictive ability using this theory than the traditional statistical methods or expert systems that do not implement the possibility theory. A detailed and exhaustive study of Italian (Tuscany and Basilicata, Portuguese and Spanish virgin olive oils has been made. Geographically coloured maps of the studied regions are shown to strengthen the numerical results.

    Se ha estudiado la autentificación de aceites de oliva virgen de diferentes regiones de España, Italia y Portugal, por su contenido en ácidos grasos, alcoholes, esteroles, metil esteroles e hidrocarburos. Se aplicaron métodos estadísticos multivariantes junto a la Teoría de la Evidencia. El estudio mostró una mejora en la capacidad predictiva utilizando esta teoría frente a otros métodos o sistemas expertos que no implementan la teoría de la posibilidad. Se ha realizado un estudio detallado y exhaustivo con aceites de oliva virgen italianos (Toscana y Basilicata, portugueses y españoles. Los resultados numéricos se muestran sobre mapas geográficos de las diferentes regiones estudiadas.

  12. Expert Opinion Analysis on Renewable Hydrogen Storage Systems Potential in Europe

    Directory of Open Access Journals (Sweden)

    Davide Astiaso Garcia


    Full Text Available Among the several typologies of storage technologies, mainly on different physical principles (mechanical, electrical and chemical, hydrogen produced by power to gas (P2G from renewable energy sources complies with chemical storage principle and is based on the conversion of electrical energy into chemical energy by means of the electrolysis of water which does not produce any toxic or climate-relevant emission. This paper aims to pinpoint the potential uses of renewable hydrogen storage systems in Europe, analysing current and potential locations, regulatory framework, governments’ outlooks, economic issues, and available renewable energy amounts. The expert opinion survey, already used in many research articles on different topics including energy, has been selected as an effective method to produce realistic results. The obtained results highlight strategies and actions to optimize the storage of hydrogen produced by renewables to face varying electricity demand and generation-driven fluctuations reducing the negative effects of the increasing share of renewables in the energy mix of European Countries.

  13. Prototype expert system to assist with the stabilization of neonates prior to transport. (United States)

    Heermann, L K; Thompson, C B


    The transport of sick or premature newborns from community hospitals to acute care facilities is often necessary for the infants to receive the level of care required. Prior stabilization of these infants is imperative to a successful transport. The knowledge required to treat and stabilize sick and premature newborns is specialized and may not be available in community hospitals. "The S.T.A.B.L.E. Assistant" is a prototype rule based decision support system based on the educational program "Transporting Newborns the S.T.A.B.L.E. Way". "The S.T.A.B.L.E. Assistant" accepts clinical information related to an infant's breathing status, blood glucose status and selected lab values and provides instructions as to what interventions are needed to stabilize and prepare the infant for transport. The computerized program was evaluated using data collected from 19 charts of newborns requiring transport from a community hospital to a tertiary care center. Patient data were entered into the computerized program and the subsequent instructions were reviewed by a group of neonatology and neonatal transport experts. Reviewers evaluated "The S.T.A.B.L.E. Assistant" for the safety of the program, the extent to which the computerized program follows the educational program guidelines and the degree to which the instructions generated are within the scope of community caregivers' practice. Results were positive, indicating "The S.T.A.B.L.E. Assistant" prototype is safe, and within the guidelines of neonatal clinical practice.

  14. An Integrated GIS-Expert System Framework for Live Hazard Monitoring and Detection

    Directory of Open Access Journals (Sweden)

    Steven M. Rozic


    Full Text Available In the context of hazard monitoring, using sensor web technology to monitor anddetect hazardous conditions in near-real-time can result in large amounts of spatial data thatcan be used to drive analysis at an instrumented site. These data can be used for decisionmaking and problem solving, however as with any analysis problem the success ofanalyzing hazard potential is governed by many factors such as: the quality of the sensordata used as input; the meaning that can be derived from those data; the reliability of themodel used to describe the problem; the strength of the analysis methods; and the ability toeffectively communicate the end results of the analysis. For decision makers to make use ofsensor web data these issues must be dealt with to some degree. The work described in thispaper addresses all of these areas by showing how raw sensor data can be automaticallytransformed into a representation which matches a predefined model of the problem context.This model can be understood by analysis software that leverages rule-based logic andinference techniques to reason with, and draw conclusions about, spatial data. These toolsare integrated with a well known Geographic Information System (GIS and existinggeospatial and sensor web infrastructure standards, providing expert users with the toolsneeded to thoroughly explore a problem site and investigate hazards in any domain.

  15. The Distributed Multimedia Learning Environment Employing Gaming-Simulation Method with Expert Systems in the World of Macro Economics


    Okamoto, T.; Ueda, Y.; Kunishige, M


    This study aims at describing the architecture of the distributed multimedia learning environment employing gaming/simulation method for the world of "Macro Economics". Especially, this system is emphasized on the integrated framework of the advanced technologies like the higher gaming/simulation, digitized image processing, expert system, communication technology of file serving, in consideration of the concept of intelligent learning environment. In the system, each of the partici...

  16. The Evaluation of the Cognitive Learning Process of the Renewed Bloom Taxonomy Using a Web Based Expert System (United States)

    Goksu, Idris


    The aim of this study is to develop the Web Based Expert System (WBES) which provides analyses and reports based on the cognitive processes of Renewed Bloom Taxonomy (RBT), and to put forward the impact of the supportive education provided in line with these reports, on the academic achievement and mastery learning state of the students. The study…

  17. Rule-based expert system to establish the linkage between yarn twist factor and end-use.

    CSIR Research Space (South Africa)

    Dlodlo, N


    Full Text Available This paper describes the concepts and development of a rule-based expert system to establish the optimum linkage between the yarn twist factor and end-use of a yarn and determine the appropriate twist for the particular yarn. The quality of a yarn...

  18. Guidelines for the verification and validation of expert system software and conventional software: Validation scenarios. Volume 6

    Energy Technology Data Exchange (ETDEWEB)

    Mirsky, S.M.; Hayes, J.E.; Miller, L.A. [Science Applications International Corp., McLean, VA (United States)


    This report is the sixth volume in a series of reports describing the results of the Expert System Verification and Validation (V&V) project which is jointly funded by the US Nuclear Regulatory Commission and the Electric Power Research Institute. The ultimate objective is the formulation of guidelines for the V&V of expert systems for use in nuclear power applications. This activity was concerned with the development of a methodology for selecting validation scenarios and subsequently applying it to two expert systems used for nuclear utility applications. Validation scenarios were defined and classified into five categories: PLANT, TEST, BASICS, CODE, and LICENSING. A sixth type, REGRESSION, is a composite of the others and refers to the practice of using trusted scenarios to ensure that modifications to software did not change unmodified functions. Rationale was developed for preferring scenarios selected from the categories in the order listed and for determining under what conditions to select scenarios from other types. A procedure incorporating all of the recommendations was developed as a generalized method for generating validation scenarios. The procedure was subsequently applied to two expert systems used in the nuclear industry and was found to be effective, given that an experienced nuclear engineer made the final scenario selections. A method for generating scenarios directly from the knowledge base component was suggested.

  19. FLEXnav: a fuzzy logic expert dead-reckoning system for the Segway RMP (United States)

    Ojeda, Lauro; Raju, Mukunda; Borenstein, Johann


    Most mobile robots use a combination of absolute and relative sensing techniques for position estimation. Relative positioning techniques are generally known as dead-reckoning. Many systems use odometry as their only dead-reckoning means. However, in recent years fiber optic gyroscopes have become more affordable and are being used on many platforms to supplement odometry, especially in indoor applications. Still, if the terrain is not level (i.e., rugged or rolling terrain), the tilt of the vehicle introduces errors into the conversion of gyro readings to vehicle heading. In order to overcome this problem vehicle tilt must be measured and factored into the heading computation. A unique new mobile robot is the Segway Robotics Mobility Platform (RMP). This functionally close relative of the innovative Segway Human Transporter (HT) stabilizes a statically unstable single-axle robot dynamically, based on the principle of the inverted pendulum. While this approach works very well for human transportation, it introduces as unique set of challenges to navigation equipment using an onboard gyro. This is due to the fact that in operation the Segway RMP constantly changes its forward tilt, to prevent dynamically falling over. This paper introduces our new Fuzzy Logic Expert rule-based navigation (FLEXnav) method for fusing data from multiple gyroscopes and accelerometers in order to estimate accurately the attitude (i.e., heading and tilt) of a mobile robot. The attitude information is then further fused with wheel encoder data to estimate the three-dimensional position of the mobile robot. We have further extended this approach to include the special conditions of operation on the Segway RMP. The paper presents experimental results of a Segway RMP equipped with our system and running over moderately rugged terrain.

  20. Context-sensitive autoassociative memories as expert systems in medical diagnosis

    Directory of Open Access Journals (Sweden)

    Olivera Fernando


    %; accuracy (true positives plus true negatives over the totality of patients 93,3%; and Cohen's kappa index 0,84. Conclusion Context-dependent associative memories can operate as medical expert systems. The model is presented in a simple and tutorial way to encourage straightforward implementations by medical groups. An application with real data, presented as a primary evaluation of the validity and potentiality of the model in medical diagnosis, shows that the model is a highly promising alternative in the development of accuracy diagnostic tools.

  1. Expert Witness

    African Journals Online (AJOL)


    discipline that permits them to testify to an opinion that will aid a judge or jury in resolving a question that is beyond the understanding or competence of laypersons. An expert witness is an expert who makes his or her knowledge available to a court (a tribunal or any other forum where formal rules of evidence apply) to help ...

  2. Knowledge-based expert systems and a proof-of-concept case study for multiple sequence alignment construction and analysis. (United States)

    Aniba, Mohamed Radhouene; Siguenza, Sophie; Friedrich, Anne; Plewniak, Frédéric; Poch, Olivier; Marchler-Bauer, Aron; Thompson, Julie Dawn


    The traditional approach to bioinformatics analyses relies on independent task-specific services and applications, using different input and output formats, often idiosyncratic, and frequently not designed to inter-operate. In general, such analyses were performed by experts who manually verified the results obtained at each step in the process. Today, the amount of bioinformatics information continuously being produced means that handling the various applications used to study this information presents a major data management and analysis challenge to researchers. It is now impossible to manually analyse all this information and new approaches are needed that are capable of processing the large-scale heterogeneous data in order to extract the pertinent information. We review the recent use of integrated expert systems aimed at providing more efficient knowledge extraction for bioinformatics research. A general methodology for building knowledge-based expert systems is described, focusing on the unstructured information management architecture, UIMA, which provides facilities for both data and process management. A case study involving a multiple alignment expert system prototype called AlexSys is also presented.

  3. Intelligent Control of Welding Gun Pose for Pipeline Welding Robot Based on Improved Radial Basis Function Network and Expert System

    Directory of Open Access Journals (Sweden)

    Jingwen Tian


    Full Text Available Since the control system of the welding gun pose in whole-position welding is complicated and nonlinear, an intelligent control system of welding gun pose for a pipeline welding robot based on an improved radial basis function neural network (IRBFNN and expert system (ES is presented in this paper. The structure of the IRBFNN is constructed and the improved genetic algorithm is adopted to optimize the network structure. This control system makes full use of the characteristics of the IRBFNN and the ES. The ADXRS300 micro-mechanical gyro is used as the welding gun position sensor in this system. When the welding gun position is obtained, an appropriate pitch angle can be obtained through expert knowledge and the numeric reasoning capacity of the IRBFNN. ARM is used as the controller to drive the welding gun pitch angle step motor in order to adjust the pitch angle of the welding gun in real-time. The experiment results show that the intelligent control system of the welding gun pose using the IRBFNN and expert system is feasible and it enhances the welding quality. This system has wide prospects for application.

  4. The BRENDA enzyme information system-From a database to an expert system. (United States)

    Schomburg, I; Jeske, L; Ulbrich, M; Placzek, S; Chang, A; Schomburg, D


    Enzymes, representing the largest and by far most complex group of proteins, play an essential role in all processes of life, including metabolism, gene expression, cell division, the immune system, and others. Their function, also connected to most diseases or stress control makes them interesting targets for research and applications in biotechnology, medical treatments, or diagnosis. Their functional parameters and other properties are collected, integrated, and made available to the scientific community in the BRaunschweig ENzyme DAtabase (BRENDA). In the last 30 years BRENDA has developed into one of the most highly used biological databases worldwide. The data contents, the process of data acquisition, data integration and control, the ways to access the data, and visualizations provided by the website are described and discussed. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

  5. OFMspert - Inference of operator intentions in supervisory control using a blackboard architecture. [operator function model expert system (United States)

    Jones, Patricia S.; Mitchell, Christine M.; Rubin, Kenneth S.


    The authors proposes an architecture for an expert system that can function as an operator's associate in the supervisory control of a complex dynamic system. Called OFMspert (operator function model (OFM) expert system), the architecture uses the operator function modeling methodology as the basis for the design. The authors put emphasis on the understanding capabilities, i.e., the intent referencing property, of an operator's associate. The authors define the generic structure of OFMspert, particularly those features that support intent inferencing. They also describe the implementation and validation of OFMspert in GT-MSOCC (Georgia Tech-Multisatellite Operations Control Center), a laboratory domain designed to support research in human-computer interaction and decision aiding in complex, dynamic systems.

  6. The Virtual UNICOS Process Expert: integration of Artificial Intelligence tools in Control Systems

    CERN Multimedia

    Vilches Calvo, I; Barillere, R


    UNICOS is a CERN framework to produce control applications. It provides operators with ways to interact with all process items from the most simple (e.g. I/O channels) to the most abstract objects (e.g. a part of the plant). This possibility of fine grain operation is particularly useful to recover from abnormal situations if operators have the required knowledge. The Virtual UNICOS Process Expert project aims at providing operators with means to handle difficult operation cases for which the intervention of process experts is usually requested. The main idea of project is to use the openness of the UNICOS-based applications to integrate tools (e.g. Artificial Intelligence tools) which will act as Process Experts to analyze complex situations, to propose and to execute smooth recovery procedures.

  7. Gypsum plasterboard walls: inspection, pathological characterization and statistical survey using an expert system

    Directory of Open Access Journals (Sweden)

    Gaião, C.


    Full Text Available This paper presents an expert system to support the inspection and diagnosis of partition walls or wall coverings mounted using the Drywall (DW construction method. This system includes a classification of anomalies in DW and their probable causes. This inspection system was used in a field work that included the observation of 121 DWs. This paper includes a statistical analysis of the anomalies observed during these inspections and their probable causes. The correlation between anomalies and causes in the sample is also thoroughly analyzed. Anomalies are also evaluated for area affected, size, repair urgency and aesthetic value of the affected area. The conclusions of the statistical analysis allowed the creation of an inventory of preventive measures to be implemented in the design, execution and use phases in order to lessen the magnitude or eradicate the occurrence of anomalies in DW. These measures could directly help improve the quality of construction.

    Este trabajo presenta un sistema experto de apoyo a la inspección y diagnóstico de tabiques o revestimientos de yeso laminado. Dicho sistema, que permite la clasificación de las anomalías del yeso laminado y sus causas probables, se empleó en un trabajo de campo en el que se estudiaron 121 elementos construidos con este material. El trabajo incluye el análisis estadístico de las anomalías detectadas durante las inspecciones y sus motivos probables. También se analizó en detalle la correlación entre las anomalías y sus causas, evaluándose aquellas en función de la superficie afectada, la urgencia de las reparaciones y el valor estético de la zona implicada. Las conclusiones del análisis estadístico permitieron la elaboración de un inventario de medidas preventivas que deberían implantarse en las fases de proyecto, ejecución y utilización de estos elementos a fin de erradicar la aparición de anomalías en el yeso laminado o reducir su frecuencia. Dichas

  8. Modeling the Construct of an Expert Evidence-Adaptive Knowledge Base for a Pressure Injury Clinical Decision Support System

    Directory of Open Access Journals (Sweden)

    Peck Chui Betty Khong


    Full Text Available The selection of appropriate wound products for the treatment of pressure injuries is paramount in promoting wound healing. However, nurses find it difficult to decide on the most optimal wound product(s due to limited live experiences in managing pressure injuries resulting from successfully implemented pressure injury prevention programs. The challenges of effective decision-making in wound treatments by nurses at the point of care are compounded by the yearly release of wide arrays of newly researched wound products into the consumer market. A clinical decision support system for pressure injury (PI-CDSS was built to facilitate effective decision-making and selection of optimal wound treatments. This paper describes the development of PI-CDSS with an expert knowledge base using an interactive development environment, Blaze Advisor. A conceptual framework using decision-making and decision theory, knowledge representation, and process modelling guided the construct of the PI-CDSS. This expert system has incorporated the practical and relevant decision knowledge of wound experts in assessment and wound treatments in its algorithm. The construct of the PI-CDSS is adaptive, with scalable capabilities for expansion to include other CDSSs and interoperability to interface with other existing clinical and administrative systems. The algorithm was formatively evaluated and tested for usability. The treatment modalities generated after using patient-specific assessment data were found to be consistent with the treatment plan(s proposed by the wound experts. The overall agreement exceeded 90% between the wound experts and the generated treatment modalities for the choice of wound products, instructions, and alerts. The PI-CDSS serves as a just-in-time wound treatment protocol with suggested clinical actions for nurses, based on the best evidence available.

  9. Architecture For The Optimization Of A Machining Process In Real Time Through Rule-Based Expert System (United States)

    Serrano, Rafael; González, Luis Carlos; Martín, Francisco Jesús


    Under the project SENSOR-IA which has had financial funding from the Order of Incentives to the Regional Technology Centers of the Counsil of Innovation, Science and Enterprise of Andalusia, an architecture for the optimization of a machining process in real time through rule-based expert system has been developed. The architecture consists of an acquisition system and sensor data processing engine (SATD) from an expert system (SE) rule-based which communicates with the SATD. The SE has been designed as an inference engine with an algorithm for effective action, using a modus ponens rule model of goal-oriented rules.The pilot test demonstrated that it is possible to govern in real time the machining process based on rules contained in a SE. The tests have been done with approximated rules. Future work includes an exhaustive collection of data with different tool materials and geometries in a database to extract more precise rules.

  10. Electrical Characteristics of ZnO Blocks by a Lightning Impulse Current and the Expert System to Diagnose Arrester Deterioration

    Energy Technology Data Exchange (ETDEWEB)

    Kil, G.S.; Han, J.S.; Song, J.Y.; Kim, M.J. [Korea Maritime University, Pusan (Korea); Kim, J.B. [Hyosung Corporation, Changwon (Korea); Cho, H.G. [Korea Electrotechnology Research Institute, Changwon (Korea)


    This paper describes an effect of a single-and a quadruple-lightning impulse currents on electrical characteristics of ZnO blocks, and an expert system to diagnose arrester deterioration. To deduce the parameters needed for diagnosing arrester deterioration, an accelerate deterioration test is carried out. In the experiment, leakage current components are measured. Also, wave height distribution of the leakage current according to the progress of arrester deterioration is analyzed. From the experimental results, the wave height distribution of the leakage current showed conspicuous difference even in an immaterial leakage current increase. Therefore, the use of wave height distribution of the leakage current in deterioration diagnostic technique makes more accurate diagnosis than the conventional method by using only a leakage current value. Finally, the expert system based on the experimental results is developed and the system can diagnose arrester deterioration by measuring the leakage current and its wave height distribution. (author). 12 refs., 10 figs.

  11. Implementation of a Workflow Management System for Non-Expert Users

    DEFF Research Database (Denmark)

    Jongejan, Bart


    In the Danish CLARIN-DK infrastructure, chaining language technology (LT) tools into a workflow is easy even for a non-expert user, because she only needs to specify the input and the desired output of the workflow. With this information and the registered input and output profiles of the available...

  12. Expert System for support of natural gas network management; Sistema especialista para gerenciamento de redes de gas natural: SEGRED

    Energy Technology Data Exchange (ETDEWEB)

    Silva, Jonny Carlos da [Universidade Federal de Santa Catarina (UFSC), Florianopolis, SC (Brazil); Hirano, Eduardo Wulff [Universidade Federal de Santa Catarina (UFSC), Florianopolis, SC (Brazil). Lab. de Hidraulica e Pneumatica (LASHIP); Moura, Newton Reis de [PETROBRAS, Rio de Janeiro, RJ (Brazil); Freire, Luiz Gustavo de Melo [PETROBRAS S.A., Pojuca, BA (Brazil). Unidade de Negocios de Gas Natural (UNGN)


    This work reports on the SEGRED project, which aims to develop an expert system for management of natural gas transportation networks. The system is currently being developed by LASHIP-UFSC in partnership with PETROBRAS/CENPES and TBG. The SEGRED system consists of an environment designed to support natural gas pipeline management by means of remote supervision of process parameters and analysis of the mutual interactions of those parameters by an expert system integrated to a dynamic simulator. The system is deployed through a process that contributes to making available for use the knowledge about functions such as line packing analysis and line break detection, thus enhancing the quality of execution of these tasks, which are related to the management of natural gas transportation network. The main benefits consist of promoting efforts to acquire and organize expert knowledge. This process contributes to the generation of a knowledge base with corporate technical memory, which can be made available in a permanent, expansible and useful way for decision-making. (author)


    Directory of Open Access Journals (Sweden)

    Shelly Yuliana


    Full Text Available The research discusses the quality control system in producing lamp filament. Meantime, the quality control system produces ahigh level of failure, 10-17%. The result of the identification revealed that the primary coil and double coil processes have the highest failure, ± 17%, and the main cause of rejection is the unflat coil. The research covers the development of attribute control chart (p chart, before and after implementations, development of control plans and documents needed, expert system program to investigate the root cause of the failure, proportional test and final result failure. The result of the implementation of suggestion, gives a significant decrease of failure and the average of failure level of the final product is average 5.74%. Abstract in Bahasa Indonesia : Penelitian ini membahas sistem pengendalian kualitas pada pembuatan lampu filamen. Sistem pengendalian kualitas yang berjalan sekarang menghasilkan kecacatan yang tinggi, 10-17%. Identifikasi yang telah dilakukan menunjukkan bahwa proses primary coil dan double coil memiliki tingkat kecacatan terbesar ± 17% dengan penyebab utama reject adalah coil tidak rata. Penelitian yang dilakukan meliputi pembuatan dan monitoring peta kendali atribut (p chart baik awal dan akhir hasil implementasi usulan, pembuatan control plan, dokumen-dokumen terhadap pengendalian penyebab kecacatan utama, program expert system yang digunakan untuk penelusuran penyebab kecacatan, uji proporsi dan tingkat kecacatan akhir. Hasil implementasi usulan memberikan penurunan tingkat kecacatan yang signifikan terhadap penyebab kecacatan utama dan rata-rata tingkat kecacatan produk akhir sebesar 5,74%. Kata kunci: sistem pengendalian kualitas, expert system.

  14. Expert System for natural gas transportation network management; Sistema especialista para gerenciamento de redes de transporte de gas natural

    Energy Technology Data Exchange (ETDEWEB)

    Silva, Jonny Carlos da; Porciuncula, Gilson Simoes [Santa Catarina Univ., Florianopolis, SC (Brazil). Dept. de Engenharia Mecanica Lab. de Sistemas Hidraulicos e Pneumaticos


    This paper presents a project to integrate expert system and dynamic simulation of natural gas transportation network applying the concept of agents. Natural gas pipeline operation requires the intermittent analysis of hundreds interrelated operational parameters, which represent the network state. The combination of expert system and dynamic simulation is a synergic solution for this kind of problem. With expert system techniques, it is possible to implement rules that describe the relationship between current operational parameters and the network normal operational conditions based on heuristic knowledge. By applying such rules, the system aims to evaluate the real network state and to predict abnormal conditions via dynamic simulation, allowing time analysis of operational situation in advance. At the current stage, the project presents a well defined model. The process of knowledge acquisition and representation has taken place following an incremental approach, considered as development paradigm. The project objectives are to reduce costs, increase the reliability and organize pipeline operation and maintenance information. This work is part of SEGRED project established as partnership among LASHIP/UFSC, SCGAS, TBG and PETROBRAS. The project also received support from FINEP. (author)

  15. AI-test - A real life expert system for electronic troubleshooting (a description and a case study) (United States)

    Ben-Bassat, Moshe; Ben-Arie, D.; Beniaminy, Israel; Cheifetz, Jonathan; Klinger, Mordechai

    AITEST is a real-life expert system for functional fault detection and isolation in electronic equipment. Its main features include probabilistic diagnostic assessment and effective manangement of the testing process, including gaol-oriented test evaluation and selection. Together with detailed documentation of the unit under test, AITEST essentially provides an intelligent electronic service manual that guides the user through the diagnostic process. Preliminary experience with AITEST for troubleshooting a dot matrix printer is reported. Implementation issues are also discussed.

  16. Modelling effective diagnosis of risk complications in gestational diabetes mellitus: an e-diabetic expert system for pregnant women (United States)

    Sreedevi, E.; Vijaya Lakshmi, K.; Chaitanya Krishna, E.; Padmavathamma, M.


    Diabetes is a chronic illness that requires continuous medical care and patient self-management education to prevent acute complications and to reduce the risk of long-term complications. This paper deals with study and development of algorithm to develop an initial stage expert system to provide diagnosis to the pregnant women who are suffering from Gestational Diabetes Mellitus (GDM) by means of Oral Glucose Tolerance Test (OGTT).

  17. Randomized controlled trial of supervised patient self-testing of warfarin therapy using an internet-based expert system.

    LENUS (Irish Health Repository)

    Ryan, F


    Increased frequency of prothrombin time testing, facilitated by patient self-testing (PST) of the International Normalized Ratio (INR) can improve the clinical outcomes of oral anticoagulation therapy (OAT). However, oversight of this type of management is often difficult and time-consuming for healthcare professionals. This study reports the first randomized controlled trial of an automated direct-to-patient expert system, enabling remote and effective management of patients on OAT.

  18. Development of a knowledge base used by an expert system to access the air quality in high-rise buildings

    Energy Technology Data Exchange (ETDEWEB)

    Miresco, E.; Windisch, H.; Gruia-Gray, J.


    The problem of poor air quality in buildings has developed relatively recently, due tp a large extent to the improved insulation and sealing of buildings for energy conservation. Research was conducted on an expert system as an aid to identify possible indoor air quality problems in highrise residential buildings, to identify the source of the problems, to aid in defining their nature and severity, and to produce a set of solutions to mitigate those problems. The knowledge base for the expert system was gathered primarily from literature on indoor air quality tests and field investigations. The resulting expert system is called EXPAIR and its features and operation are described. To assess the air quality in a highrise building, the user must supply information on the locations of the air quality problem, the physical findings that indicate the problem, and any symptoms reported by inhabitants of the building. By using EXPAIR's components of networks, variables, and dialogs, solutions are outlined at various levels of specificity. 2 figs., 4 tabs.

  19. When does atopic dermatitis warrant systemic therapy? Recommendations from an expert panel of the International Eczema Council. (United States)

    Simpson, Eric L; Bruin-Weller, Marjolein; Flohr, Carsten; Ardern-Jones, Michael R; Barbarot, Sebastien; Deleuran, Mette; Bieber, Thomas; Vestergaard, Christian; Brown, Sara J; Cork, Michael J; Drucker, Aaron M; Eichenfield, Lawrence F; Foelster-Holst, Regina; Guttman-Yassky, Emma; Nosbaum, Audrey; Reynolds, Nick J; Silverberg, Jonathan I; Schmitt, Jochen; Seyger, Marieke M B; Spuls, Phyllis I; Stalder, Jean-Francois; Su, John C; Takaoka, Roberto; Traidl-Hoffmann, Claudia; Thyssen, Jacob P; van der Schaft, Jorien; Wollenberg, Andreas; Irvine, Alan D; Paller, Amy S


    Although most patients with atopic dermatitis (AD) are effectively managed with topical medication, a significant minority require systemic therapy. Guidelines for decision making about advancement to systemic therapy are lacking. To guide those considering use of systemic therapy in AD and provide a framework for evaluation before making this therapeutic decision with the patient. A subgroup of the International Eczema Council determined aspects to consider before prescribing systemic therapy. Topics were assigned to expert reviewers who performed a topic-specific literature review, referred to guidelines when available, and provided interpretation and expert opinion. We recommend a systematic and holistic approach to assess patients with severe signs and symptoms of AD and impact on quality of life before systemic therapy. Steps taken before commencing systemic therapy include considering alternate or concomitant diagnoses, avoiding trigger factors, optimizing topical therapy, ensuring adequate patient/caregiver education, treating coexistent infection, assessing the impact on quality of life, and considering phototherapy. Our work is a consensus statement, not a systematic review. The decision to start systemic medication should include assessment of severity and quality of life while considering the individual's general health status, psychologic needs, and personal attitudes toward systemic therapies. Copyright © 2017 American Academy of Dermatology, Inc. All rights reserved.

  20. A distributed agent architecture for real-time knowledge-based systems: Real-time expert systems project, phase 1 (United States)

    Lee, S. Daniel


    We propose a distributed agent architecture (DAA) that can support a variety of paradigms based on both traditional real-time computing and artificial intelligence. DAA consists of distributed agents that are classified into two categories: reactive and cognitive. Reactive agents can be implemented directly in Ada to meet hard real-time requirements and be deployed on on-board embedded processors. A traditional real-time computing methodology under consideration is the rate monotonic theory that can guarantee schedulability based on analytical methods. AI techniques under consideration for reactive agents are approximate or anytime reasoning that can be implemented using Bayesian belief networks as in Guardian. Cognitive agents are traditional expert systems that can be implemented in ART-Ada to meet soft real-time requirements. During the initial design of cognitive agents, it is critical to consider the migration path that would allow initial deployment on ground-based workstations with eventual deployment on on-board processors. ART-Ada technology enables this migration while Lisp-based technologies make it difficult if not impossible. In addition to reactive and cognitive agents, a meta-level agent would be needed to coordinate multiple agents and to provide meta-level control.

  1. Expert system based on cases for a diagnosis system in real time; Sistema experto basado en casos para un sistema de diagnostico en tiempo real

    Energy Technology Data Exchange (ETDEWEB)

    Espinosa R, Alfredo; Quintero R, Agustin; Zambrano D, S Venecia [Instituto de Investigaciones Electricas, Cuernavaca, Morelos (Mexico)


    This article presents the development of an Expert System based in the Reasoning Based on Cases methodology. Such system was performed with the purpose of creating an information system in charge of supervising and diagnosing the status of the main equipment of fossil fuel power plants for electricity generation. Here is presented the reasons why this methodology was used for the expert system and why Induce-It -the specialized tool that implements it- was also chosen, as well as the analysis made for the disposition of the operative architecture of the Expert System, the very development of this software architecture and, finally, the validation of the correct operation of this system by means of a simulator that simultaneously puts to the test the error handling of the Expert System. [Spanish] Este articulo presenta el procedimiento que siguio el desarrollo de un Sistema Experto asentado en la metodologia de Razonamiento Basado en Casos; realizado con el fin de crear un sistema de informacion encargado de supervisar y diagnosticar el estado de los equipos principales de centrales de generacion termoelectrica. Se expone justificadamente la seleccion de la metodologia del sistema experto y de la herramienta especializada que lo implementa (Induce-It), asi como el analisis realizado para la disposicion de la arquitectura operativa del Sistema Experto, el desarrollo mismo de esta arquitectura del software y, finalmente, la validacion del correcto funcionamiento de este sistema mediante un simulador que a la vez pone a prueba el manejo de errores del Sistema Experto.

  2. Renewable energy systems the earthscan expert guide to renewable energy technologies for home and business

    CERN Document Server

    Jenkins, Dilwyn


    This book is the long awaited guide for anyone interested in renewables at home or work. It sweeps away scores of common misconceptions while clearly illustrating the best in renewable and energy efficiency technologies. A fully illustrated guide to renewable energy for the home and small business, the book provides an expert overview of precisely which sustainable energy technologies are appropriate for wide-spread domestic and small business application. The sections on different renewable energy options provide detailed descriptions of each technology along with case studies, installatio

  3. Expert evaluation of innovation projects of mining enterprises on the basis of methods of system analysis and fuzzy logics

    Directory of Open Access Journals (Sweden)

    Pimonov Alexander


    Full Text Available This paper presents the multipurpose approach to evaluation of research and innovation projects based on the method of analysis of hierarchies and fuzzy logics for the mining industry. The approach, implemented as part of a decision support system, can reduce the degree of subjectivity during examinations by taking into account both quantitative and qualitative characteristics of the compared innovative alternatives; it does not depend on specific conditions of examination and allows engagement of experts of various fields of knowledge. The system includes the mechanism of coordination of several experts’ views. Using of fuzzy logics allows evaluating the qualitative characteristics of innovations in the form of formalized logical conclusions.

  4. Geographic information systems-based expert system modelling for shoreline sensitivity to oil spill disaster in Rivers State, Nigeria

    Directory of Open Access Journals (Sweden)

    Olanrewaju Lawal


    Full Text Available In the absence of adequate and appropriate actions, hazards often result in disaster. Oil spills across any environment are very hazardous; thus, oil spill contingency planning is pertinent, supported by Environmental Sensitivity Index (ESI mapping. However, a significant data gap exists across many low- and middle-income countries in aspect of environmental monitoring. This study developed a geographic information system (GIS-based expert system (ES for shoreline sensitivity to oiling. It focused on the biophysical attributes of the shoreline with Rivers State as a case study. Data on elevation, soil, relative wave exposure and satellite imageries were collated and used for the development of ES decision rules within GIS. Results show that about 70% of the shoreline are lined with swamp forest/mangroves/nympa palm, and 97% have silt and clay as dominant sediment type. From the ES, six ranks were identified; 61% of the shoreline has a rank of 9 and 19% has a rank of 3 for shoreline sensitivity. A total of 568 km out of the 728 km shoreline is highly sensitive (ranks 7–10. There is a clear indication that the study area is a complex mixture of sensitive environments to oil spill. GIS-based ES with classification rules for shoreline sensitivity represents a rapid and flexible framework for automatic ranking of shoreline sensitivity to oiling. It is expected that this approach would kick-start sensitivity index mapping which is comprehensive and openly available to support disaster risk management around the oil producing regions of the country.

  5. A Computerised Business Ethics Expert System -A new approach to improving the ethical quality of business decision-making

    Directory of Open Access Journals (Sweden)

    Bernie Brenner


    Full Text Available Abstract Where unethical business decision-making arises from failures of ethical perception, there is an important role for ethical training and decision-making tools. These may help business people to consider all relevant issues when assessing the ethical status of potential decisions. Ethical training programmes give business people a basic understanding of the principles which underlie ethical judgements and equip them with many of the necessary skills for dealing with the ethical dilemmas which they face in their jobs. Similarly, ethical decision-making tools may guide managers through the various ethical considerations which are relevant to business decision-making and help them to develop their ethical-perceptual skills. Furthermore, by establishing and reinforcing good ethical decision-making practices, training programmes and decision-making tools may also reduce the incidence of self-consciously unethical decision-making. A new approach to improving the ethical quality of business decision-making by the use of computerized business ethics expert systems is proposed. These systems have the potential to guide business people through a process of ethical evaluation while simultaneously fulfilling an educational role, thus providing many of the benefits of both training programmes and decision-making tools. While the prospect of a computer system which could simply make ethical judgements for business people is both unrealistic and undesirable, a system which leads human decision-makers through a structured assessment process has the potential for genuine benefits. Keywords: Expert Systems, Ethical Decision Making

  6. Development of an expert system for automatic mesh generation for S(N) particle transport method in parallel environment (United States)

    Patchimpattapong, Apisit

    This dissertation develops an expert system for generating an effective spatial mesh distribution for the discrete ordinates particle transport method in a parallel environment. This expert system consists of two main parts: (1) an algorithm for generating an effective mesh distribution in a serial environment, and (2) an algorithm for inference of an effective domain decomposition strategy for parallel computing. The mesh generation algorithm consists of four steps: creation of a geometric model as partitioned into coarse meshes, determination of an approximate flux shape, selection of appropriate differencing schemes, and generation of an effective fine mesh distribution. A geometric model was created using AutoCAD. A parallel code PENFC (Parallel Environment Neutral-Particle First Collision) has been developed to calculate an uncollided flux in a 3-D Cartesian geometry. The appropriate differencing schemes were selected based on the uncollided flux distribution using a least squares methodology. A menu-driven serial code PENXMSH has been developed to generate an effective spatial mesh distribution that preserves problem geometry and physics. The domain decomposition selection process involves evaluation of the four factors that affect parallel performance, which include number of processors and memory available per processor, load balance, granularity, and degree-of-coupling among processors. These factors are used to derive a parallel-performance-index that provides expected performance of a parallel algorithm depending on computing environment and resources. A large index indicates a high granularity algorithm with relatively low coupling among processors. This expert system has been successfully tested within the PENTRAN (Parallel Environment Neutral-Particle Transport) code system for simulating real-life shielding problems: the VENUS-3 experimental facility and the BWR core shroud.

  7. ExpertFOAF recommends experts

    DEFF Research Database (Denmark)

    Iofcu, Tereza; Diederich, Joerg; Dolog, Peter


    the GrowBag approach [1]. The main assumption is that such user profiles can provide good hints about users' expertise. Such extended FOAF files (called ExpertFOAF) can be published on a user's home page, on web pages of institutions or conferences to characterize them. They can be crawled by distributed...

  8. Development of an expert system for the simulation model for casting metal substructure of a metal-ceramic crown design. (United States)

    Matin, Ivan; Hadzistevic, Miodrag; Vukelic, Djordje; Potran, Michal; Brajlih, Tomaz


    Nowadays, the integrated CAD/CAE systems are favored solutions for the design of simulation models for casting metal substructures of metal-ceramic crowns. The worldwide authors have used different approaches to solve the problems using an expert system. Despite substantial research progress in the design of experts systems for the simulation model design and manufacturing have insufficiently considered the specifics of casting in dentistry, especially the need for further CAD, RE, CAE for the estimation of casting parameters and the control of the casting machine. The novel expert system performs the following: CAD modeling of the simulation model for casting, fast modeling of gate design, CAD eligibility and cast ability check of the model, estimation and running of the program code for the casting machine, as well as manufacturing time reduction of the metal substructure. The authors propose an integration method using common data model approach, blackboard architecture, rule-based reasoning and iterative redesign method. Arithmetic mean roughness values was determinated with constant Gauss low-pass filter (cut-off length of 2.5mm) according to ISO 4287 using Mahr MARSURF PS1. Dimensional deviation between the designed model and manufactured cast was determined using the coordinate measuring machine Zeiss Contura G2 and GOM Inspect software. The ES allows for obtaining the castings derived roughness grade number N7. The dimensional deviation between the simulation model of the metal substructure and the manufactured cast is 0.018mm. The arithmetic mean roughness values measured on the casting substructure are from 1.935µm to 2.778µm. The realized developed expert system with the integrated database is fully applicable for the observed hardware and software. Values of the arithmetic mean roughness and dimensional deviation indicate that casting substructures are surface quality, which is more than enough and useful for direct porcelain veneering. The

  9. Design of operating rules in complex water resources systems using historical records, expert criteria and fuzzy logic (United States)

    Pulido-Velazquez, Manuel; Macian-Sorribes, Hector; María Benlliure-Moreno, Jose; Fullana-Montoro, Juan


    Water resources systems in areas with a strong tradition in water use are complex to manage by the high amount of constraints that overlap in time and space, creating a complicated framework in which past, present and future collide between them. In addition, it is usual to find "hidden constraints" in system operations, which condition operation decisions being unnoticed by anyone but the river managers and users. Being aware of those hidden constraints requires usually years of experience and a degree of involvement in that system's management operations normally beyond the possibilities of technicians. However, their impact in the management decisions is strongly imprinted in the historical data records available. The purpose of this contribution is to present a methodology capable of assessing operating rules in complex water resources systems combining historical records and expert criteria. Both sources are coupled using fuzzy logic. The procedure stages are: 1) organize expert-technicians preliminary meetings to let the first explain how they manage the system; 2) set up a fuzzy rule-based system (FRB) structure according to the way the system is managed; 3) use the historical records available to estimate the inputs' fuzzy numbers, to assign preliminary output values to the FRB rules and to train and validate these rules; 4) organize expert-technician meetings to discuss the rule structure and the input's quantification, returning if required to the second stage; 5) once the FRB structure is accepted, its output values must be refined and completed with the aid of the experts by using meetings, workshops or surveys; 6) combine the FRB with a Decision Support System (DSS) to simulate the effect of those management decisions; 7) compare its results with the ones offered by the historical records and/or simulation or optimization models; and 8) discuss with the stakeholders the model performance returning, if it's required, to the fifth or the second stage

  10. An expert system as a support to the decision making process for groundwater management of alluvial groundwater bodies in Slovenia

    Directory of Open Access Journals (Sweden)

    Petra Souvent


    Full Text Available The expert decision support system for groundwater management in the shallow alluvial aquifers links numerical groundwater flow models with the water permits and concessions databases in order to help groundwater managers to quantify sustainable yield for a given groundwater body and provide additional information for sustainable groundwater management. Stand alone numerical groundwater models are used in the process of the assessment of groundwater quantitative status as well as for assessing local yield quantity during the period of maximum water demand and minimum groundwater recharge.

  11. Automated Predictive Diagnosis (APD): A 3-tiered shell for building expert systems for automated predictions and decision making (United States)

    Steib, Michael


    The APD software features include: On-line help, Three level architecture, (Logic environments, Setup/Application environment, Data environment), Explanation capability, and File handling. The kinds of experimentation and record keeping that leads to effective expert systems is facilitated by: (1) a library of inferencing modules (in the logic environment); (2) an explanation capability which reveals logic strategies to users; (3) automated file naming conventions; (4) an information retrieval system; and (5) on-line help. These aid with effective use of knowledge, debugging and experimentation. Since the APD software anticipates the logical rules becoming complicated, it is embedded in a production system language (CLIPS) to insure the full power of the production system paradigm of CLIPS and availability of the procedural language C. The development is discussed of the APD software and three example applications: toy, experimental, and operational prototype for submarine maintenance predictions.

  12. Irrigation management using an expert system, soil water potentials, and vegetative indices for spatial applications (United States)

    Variable rate irrigation (VRI) systems are irrigation systems that are capable of applying different water depths both in the direction of travel and along the length of the irrigation system. However, when compared to traditional irrigation systems, VRI systems require a higher level of management...

  13. Relevant Concepts of Functioning for Patients With Systemic Lupus Erythematosus Identified in a Delphi Exercise of Experts and a Literature Review

    National Research Council Canada - National Science Library

    Leuchten, Nicolai; Bauernfeind, Bettina; Kuttner, Johannes; Stamm, Tanja; Smolen, Josef S; Pisetsky, David S; Aringer, Martin


    To identify in a Delphi exercise of international systemic lupus erythematosus (SLE) experts and a systematic literature review the most relevant concepts that impact on the functioning of SLE patients...


    Directory of Open Access Journals (Sweden)



    Full Text Available Nous présentons un système expert  de classification automatique supervisé basé sur une approche symbolique. Ce dernier est constitué de deux sous-systèmes. Le premier sous-système génère automatiquement les règles de production à partir d'un ensemble d'apprentissage; les règles générées sont pondérées par un degré de croyance symbolique qui caractérise leurs classes d'appartenances. Le deuxième est le système d'inférence qui reçoit en entrée la base de règles et l'objet à classer; ensuite, à l'aide du raisonnement classique (le Modus Ponens il fournit la  classe d'appartenance de cet objet  avec un certain degré de croyance symbolique. Les méthodes d'évaluation du degré de croyance sont nombreuses, mais souvent entachées d'incertitudes. Pour apprécier les performances de notre approche symbolique, nous avons effectué des tests sur deux images:  la cryosection  de la cuisse humaine et de la texture.

  15. ZEUS: A Knowledge-Based Expert System that Assists in Predicting Visibility at Airbases. (United States)


    data between system modules. EXSYS, which is rapidly growing, has an agressive , ongoing corporate R&D program to provide user interface aids such as...the system’s performance. 0 Develop the capability of the system to accept inputs continuously from online data interfaces; extend the system’s

  16. The integration of automated knowledge acquisition with computer-aided software engineering for space shuttle expert systems (United States)

    Modesitt, Kenneth L.


    A prediction was made that the terms expert systems and knowledge acquisition would begin to disappear over the next several years. This is not because they are falling into disuse; it is rather that practitioners are realizing that they are valuable adjuncts to software engineering, in terms of problem domains addressed, user acceptance, and in development methodologies. A specific problem was discussed, that of constructing an automated test analysis system for the Space Shuttle Main Engine. In this domain, knowledge acquisition was part of requirements systems analysis, and was performed with the aid of a powerful inductive ESBT in conjunction with a computer aided software engineering (CASE) tool. The original prediction is not a very risky one -- it has already been accomplished.

  17. Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system models. (United States)

    Garibaldi, Jonathan M; Zhou, Shang-Ming; Wang, Xiao-Ying; John, Robert I; Ellis, Ian O


    It has been often demonstrated that clinicians exhibit both inter-expert and intra-expert variability when making difficult decisions. In contrast, the vast majority of computerized models that aim to provide automated support for such decisions do not explicitly recognize or replicate this variability. Furthermore, the perfect consistency of computerized models is often presented as a de facto benefit. In this paper, we describe a novel approach to incorporate variability within a fuzzy inference system using non-stationary fuzzy sets in order to replicate human variability. We apply our approach to a decision problem concerning the recommendation of post-operative breast cancer treatment; specifically, whether or not to administer chemotherapy based on assessment of five clinical variables: NPI (the Nottingham Prognostic Index), estrogen receptor status, vascular invasion, age and lymph node status. In doing so, we explore whether such explicit modeling of variability provides any performance advantage over a more conventional fuzzy approach, when tested on a set of 1310 unselected cases collected over a fourteen year period at the Nottingham University Hospitals NHS Trust, UK. The experimental results show that the standard fuzzy inference system (that does not model variability) achieves overall agreement to clinical practice around 84.6% (95% CI: 84.1-84.9%), while the non-stationary fuzzy model can significantly increase performance to around 88.1% (95% CI: 88.0-88.2%), psystems in any application domain. Copyright © 2012 Elsevier Inc. All rights reserved.

  18. Environmental Sensing of Expert Knowledge in a Computational Evolution System for Complex Problem Solving in Human Genetics (United States)

    Greene, Casey S.; Hill, Douglas P.; Moore, Jason H.

    The relationship between interindividual variation in our genomes and variation in our susceptibility to common diseases is expected to be complex with multiple interacting genetic factors. A central goal of human genetics is to identify which DNA sequence variations predict disease risk in human populations. Our success in this endeavour will depend critically on the development and implementation of computational intelligence methods that are able to embrace, rather than ignore, the complexity of the genotype to phenotype relationship. To this end, we have developed a computational evolution system (CES) to discover genetic models of disease susceptibility involving complex relationships between DNA sequence variations. The CES approach is hierarchically organized and is capable of evolving operators of any arbitrary complexity. The ability to evolve operators distinguishes this approach from artificial evolution approaches using fixed operators such as mutation and recombination. Our previous studies have shown that a CES that can utilize expert knowledge about the problem in evolved operators significantly outperforms a CES unable to use this knowledge. This environmental sensing of external sources of biological or statistical knowledge is important when the search space is both rugged and large as in the genetic analysis of complex diseases. We show here that the CES is also capable of evolving operators which exploit one of several sources of expert knowledge to solve the problem. This is important for both the discovery of highly fit genetic models and because the particular source of expert knowledge used by evolved operators may provide additional information about the problem itself. This study brings us a step closer to a CES that can solve complex problems in human genetics in addition to discovering genetic models of disease.

  19. Selected Aircraft Throttle Controller With Support Of Fuzzy Expert Inference System

    Directory of Open Access Journals (Sweden)

    Żurek Józef


    Full Text Available The paper describes Zlin 143Lsi aircraft engine work parameters control support method – hourly fuel flow as a main factor under consideration. The method concerns project of aircraft throttle control support system with use of fuzzy logic (fuzzy inference. The primary purpose of the system is aircraft performance optimization, reducing flight cost at the same time and support proper aircraft engine maintenance. Matlab Software and Fuzzy Logic Toolbox were used in the project. Work of the system is presented with use of twenty test samples, five of them are presented graphically. In addition, system control surface, included in the paper, supports system all work range analysis.

  20. Design and implementation of an expert system for the detector control systems of the ATLAS pixel detector; Entwurf und Implementation eines Expertensystems fuer das Detektorkontrollsystem des ATLAS-Pixeldetektors

    Energy Technology Data Exchange (ETDEWEB)

    Henss, Tobias


    In the framework of this thesis an expert system ''Pixel-Advisor'' for the control system of the pixel detector was designed and implemented. This supports the operational personnel in the diagnosis and removal of possible problems, which are in connection with the detector control system and unburdens the few available DCS experts.

  1. Optimal operating rules definition in complex water resource systems combining fuzzy logic, expert criteria and stochastic programming (United States)

    Macian-Sorribes, Hector; Pulido-Velazquez, Manuel


    This contribution presents a methodology for defining optimal seasonal operating rules in multireservoir systems coupling expert criteria and stochastic optimization. Both sources of information are combined using fuzzy logic. The structure of the operating rules is defined based on expert criteria, via a joint expert-technician framework consisting in a series of meetings, workshops and surveys carried out between reservoir managers and modelers. As a result, the decision-making process used by managers can be assessed and expressed using fuzzy logic: fuzzy rule-based systems are employed to represent the operating rules and fuzzy regression procedures are used for forecasting future inflows. Once done that, a stochastic optimization algorithm can be used to define optimal decisions and transform them into fuzzy rules. Finally, the optimal fuzzy rules and the inflow prediction scheme are combined into a Decision Support System for making seasonal forecasts and simulate the effect of different alternatives in response to the initial system state and the foreseen inflows. The approach presented has been applied to the Jucar River Basin (Spain). Reservoir managers explained how the system is operated, taking into account the reservoirs' states at the beginning of the irrigation season and the inflows previewed during that season. According to the information given by them, the Jucar River Basin operating policies were expressed via two fuzzy rule-based (FRB) systems that estimate the amount of water to be allocated to the users and how the reservoir storages should be balanced to guarantee those deliveries. A stochastic optimization model using Stochastic Dual Dynamic Programming (SDDP) was developed to define optimal decisions, which are transformed into optimal operating rules embedding them into the two FRBs previously created. As a benchmark, historical records are used to develop alternative operating rules. A fuzzy linear regression procedure was employed to

  2. An Expert System-Driven Method for Parametric Trajectory Optimization During Conceptual Design (United States)

    Dees, Patrick D.; Zwack, Mathew R.; Steffens, Michael; Edwards, Stephen; Diaz, Manuel J.; Holt, James B.


    During the early phases of engineering design, the costs committed are high, costs incurred are low, and the design freedom is high. It is well documented that decisions made in these early design phases drive the entire design's life cycle cost. In a traditional paradigm, key design decisions are made when little is known about the design. As the design matures, design changes become more difficult in both cost and schedule to enact. The current capability-based paradigm, which has emerged because of the constrained economic environment, calls for the infusion of knowledge usually acquired during later design phases into earlier design phases, i.e. bringing knowledge acquired during preliminary and detailed design into pre-conceptual and conceptual design. An area of critical importance to launch vehicle design is the optimization of its ascent trajectory, as the optimal trajectory will be able to take full advantage of the launch vehicle's capability to deliver a maximum amount of payload into orbit. Hence, the optimal ascent trajectory plays an important role in the vehicle's affordability posture yet little of the information required to successfully optimize a trajectory is known early in the design phase. Thus, the current paradigm of optimizing ascent trajectories involves generating point solutions for every change in a vehicle's design parameters. This is often a very tedious, manual, and time-consuming task for the analysts. Moreover, the trajectory design space is highly non-linear and multi-modal due to the interaction of various constraints. When these obstacles are coupled with the Program to Optimize Simulated Trajectories (POST), an industry standard program to optimize ascent trajectories that is difficult to use, expert trajectory analysts are required to effectively optimize a vehicle's ascent trajectory. Over the course of this paper, the authors discuss a methodology developed at NASA Marshall's Advanced Concepts Office to address these issues

  3. Experts: to crack down on violence in the ED, establish a robust system of reporting, educating staff. (United States)


    Researchers say that most ED personnel will experience some form of physical or verbal violence at some point in their careers. However, when such incidents are regularly reported, the patients involved can be flagged in a hospital's computer system, making future events involving the same patients much less likely. Further, when ED personnel are alert to the clues that a patient or family member is becoming agitated, early intervention can usually prevent the situation from escalating to violence. About one-half of all ED personnel will experience a physical assault, and 97%-100% will experience verbal abuse during their careers, according to research. A first step in developing a strategy for dealing with violence is to educate ED personnel about what constitutes workplace violence so that all such incidents can be reported. Experts say many ED workers fail to recognize some instances of violence, based on the intent of the person involved. However, intent should not be a factor, they say. In many cases, empathy and good customer service skills can prevent tense situations from escalating to violence, but experts say that it is important to intervene at the first sign of agitation. ED administrators should gather input from frontline staff on how to most effectively derail instances of violence.

  4. Guidelines for the verification and validation of expert system software and conventional software: User`s manual. Volume 7

    Energy Technology Data Exchange (ETDEWEB)

    Mirsky, S.M.; Hayes, J.E.; Miller, L.A. [Science Applications International Corp., McLean, VA (United States)


    This report provides a step-by-step guide, or user manual, for personnel responsible for the planning and execution of the verification and validation (V&V), and developmental testing, of expert systems, conventional software systems, and various other types of artificial intelligence systems. While the guide was developed primarily for applications in the utility industry, it applies well to all industries. The user manual has three sections. In Section 1 the user assesses the stringency of V&V needed for the system under consideration, identifies the development stage the system is in, and identifies the component(s) of the system to be tested next. These three pieces of information determine which Guideline Package of V&V methods is most appropriate for those conditions. The V&V Guideline Packages are provided in Section 2. Each package consists of an ordered set of V&V techniques to be applied to the system, guides on choosing the review/evaluation team, measurement criteria, and references to a book or report which describes the application of the method. Section 3 presents details of 11 of the most important (or least well-explained in the literature) methods to assist the user in applying these techniques accurately.

  5. Modelling the system behaviour of wet snow avalanches using an expert system approach for risk management on high alpine traffic roads

    Directory of Open Access Journals (Sweden)

    A. Zischg


    Full Text Available The presented approach describes a model for a rule-based expert system calculating the temporal variability of the release of wet snow avalanches, using the assumption of avalanche triggering without the loading of new snow. The knowledge base of the model is created by using investigations on the system behaviour of wet snow avalanches in the Italian Ortles Alps, and is represented by a fuzzy logic rule-base. Input parameters of the expert system are numerical and linguistic variables, measurable meteorological and topographical factors and observable characteristics of the snow cover. Output of the inference method is the quantified release disposition for wet snow avalanches. Combining topographical parameters and the spatial interpolation of the calculated release disposition a hazard index map is dynamically generated. Furthermore, the spatial and temporal variability of damage potential on roads exposed to wet snow avalanches can be quantified, expressed by the number of persons at risk. The application of the rule base to the available data in the study area generated plausible results. The study demonstrates the potential for the application of expert systems and fuzzy logic in the field of natural hazard monitoring and risk management.

  6. A Fuzzy Expert System for Distinguishing between Bacterial and Aseptic Meningitis

    Directory of Open Access Journals (Sweden)

    Mostafa Langarizadeh


    Data were extracted from 106 records of patients with meningitis (42 cases with bacterial meningitis in order to evaluate the proposed system. The system accuracy, specificity, and sensitivity were 89%, 92 %, and 97%, respectively. The area under the ROC curve was 0.93, and Kappa test revealed a good level of agreement (k=0.84, P

  7. Decision support system for overall welfare assessment in pregnant sows. B. Validation by expert opinion

    NARCIS (Netherlands)

    Bracke, M.B.M.; Spruijt, B.M.; Metz, J.H.M.; Schouten, W.G.P.


    This paper examines the validity of a model that is embedded in a computer-based decision support system to assess the welfare status of pregnant sows in housing and management systems. The so-called SOWEL (SOw WELfare) model was constructed using a formalized procedure to identify and weight

  8. Developing a Dynamic Inference Expert System to Support Individual Learning at Work (United States)

    Hung, Yu Hsin; Lin, Chun Fu; Chang, Ray I.


    In response to the rapid growth of information in recent decades, knowledge-based systems have become an essential tool for organizational learning. The application of electronic performance-support systems in learning activities has attracted considerable attention from researchers. Nevertheless, the vast, ever-increasing amount of information is…

  9. Takagi Sugeno fuzzy expert model based soft fault diagnosis for two tank interacting system

    Directory of Open Access Journals (Sweden)

    Manikandan Pandiyan


    Full Text Available The inherent characteristics of fuzzy logic theory make it suitable for fault detection and diagnosis (FDI. Fault detection can benefit from nonlinear fuzzy modeling and fault diagnosis can profit from a transparent reasoning system, which can embed operator experience, but also learn from experimental and/or simulation data. Thus, fuzzy logic-based diagnostic is advantageous since it allows the incorporation of a-priori knowledge and lets the user understand the inference of the system. In this paper, the successful use of a fuzzy FDI based system, based on dynamic fuzzy models for fault detection and diagnosis of an industrial two tank system is presented. The plant data is used for the design and validation of the fuzzy FDI system. The validation results show the effectiveness of this approach.

  10. Application of remote sensing data to monitoring of oil pollution as part of the environmental expert system (United States)

    Shagarova, Lyudmila; Muratova, Mira; Abuova, Sholpan


    The impact of oil-producing facilities on the environment is caused by toxicity of hydrocarbons and by-products, a variety of chemicals used in industrial processes, as well as specificity of production, treatment, transportation and storage of oil and oil products. To predict the state of the geological environment, scientists carry out investigations, which help to choose the optimal strategy for creation of the expert system taking into account simulations and to provide efficient use of available environmentally relevant information related to the current state of the geological environment. The expert system is a complex of interconnected blocks, one of which is the information on the presence of oil pollution, which can be identified using satellite imagery. The satellite imagery has practical application in monitoring of oil pollution, as it allows specialists to identify oil spills remotely and to determine their characteristics based on the differentiation of the surface reflectance spectra. Snapshots are used to estimate the area of oil-contamination and location of spills. To detect contaminants it is necessary to perform the following steps in processing of the remote sensing data: - Identify and isolate all the dark deformations in the satellite images, as a result of processing of segmentation and threshold processing; - Calculate statistical parameters of dark deformations, i.e., signs similar to areas prone to contamination. These signs are related to the geometry of formation, their physical changes (backscattering value) and the image context; - Classify the selected spectral anomalies as oil pollution and oil sludge. On the basis of classification of satellite imagery, the objects of oil pollution are detected and deciphering signs are analyzed in order to refer classified objects to implicit or explicit contaminations. To detect oil pollution, pixels are classified into categories with learning on the given areas with creation of the

  11. GIS Fuzzy Expert System for the assessment of ecosystems vulnerability to fire in managing Mediterranean natural protected areas. (United States)

    Semeraro, Teodoro; Mastroleo, Giovanni; Aretano, Roberta; Facchinetti, Gisella; Zurlini, Giovanni; Petrosillo, Irene


    A significant threat to the natural and cultural heritage of Mediterranean natural protected areas (NPAs) is related to uncontrolled fires that can cause potential damages related to the loss or a reduction of ecosystems. The assessment and mapping of the vulnerability to fire can be useful to reduce landscape damages and to establish priority areas where it is necessary to plan measures to reduce the fire vulnerability. To this aim, a methodology based on an interactive computer-based system has been proposed in order to support NPA's management authority for the identification of vulnerable hotspots to fire through the selection of suitable indicators that allow discriminating different levels of sensitivity (e.g. Habitat relevance, Fragmentation, Fire behavior, Ecosystem Services, Vegetation recovery after fire) and stresses (agriculture, tourism, urbanization). In particular, a multi-criteria analysis based on Fuzzy Expert System (FES) integrated in a GIS environment has been developed in order to identify and map potential "hotspots" of fire vulnerability, where fire protection measures can be undertaken in advance. In order to test the effectiveness of this approach, this approach has been applied to the NPA of Torre Guaceto (Apulia Region, southern Italy). The most fire vulnerable areas are the patch of century-old forest characterized by high sensitivity and stress, and the wetlands and century-old olive groves due to their high sensitivity. The GIS fuzzy expert system provides evidence of its potential usefulness for the effective management of natural protected areas and can help conservation managers to plan and intervene in order to mitigate the fire vulnerability in accordance with conservation goals. Copyright © 2015 Elsevier Ltd. All rights reserved.

  12. Genetic Learning of Fuzzy Expert Systems for Decision Support in the Automated Process of Wooden Boards Cutting

    Directory of Open Access Journals (Sweden)

    Yaroslav MATSYSHYN


    Full Text Available Sawing solid wood (lumber, wooden boards into blanks is an important technological operation, which has significant influence on the efficiency of the woodworking industry as a whole. Selecting a rational variant of lumber cutting is a complex multicriteria problem with many stochastic factors, characterized by incomplete information and fuzzy attributes. About this property by currently used automatic optimizing cross-cut saw is not always rational use of wood raw material. And since the optimization algorithms of these saw functions as a “black box”, their improvement is not possible. Therefore topical the task of developing a new approach to the optimal cross-cutting that takes into account stochastic properties of wood as a material from biological origin. Here we propose a new approach to the problem of lumber optimal cutting in the conditions of uncertainty of lumber quantity and fuzziness lengths of defect-free areas. To account for these conditions, we applied the methods of fuzzy sets theory and used a genetic algorithm to simulate the process of human learning in the implementation the technological operation. Thus, the rules of behavior with yet another defect-free area is defined in fuzzy expert system that can be configured to perform specific production tasks using genetic algorithm. The author's implementation of the genetic algorithm is used to set up the parameters of fuzzy expert system. Working capacity of the developed system verified on simulated and real-world data. Implementation of this approach will make it suitable for the control of automated or fully automatic optimizing cross cutting of solid wood.

  13. Framing a Knowledge Base for a Legal Expert System Dealing with Indeterminate Concepts. (United States)

    Araszkiewicz, Michał; Łopatkiewicz, Agata; Zienkiewicz, Adam; Zurek, Tomasz


    Despite decades of development of formal tools for modelling legal knowledge and reasoning, the creation of a fully fledged legal decision support system remains challenging. Among those challenges, such system requires an enormous amount of commonsense knowledge to derive legal expertise. This paper describes the development of a negotiation decision support system (the Parenting Plan Support System or PPSS) to support parents in drafting an agreement (the parenting plan) for the exercise of parental custody of minor children after a divorce is granted. The main objective here is to discuss problems of framing an intuitively appealing and computationally efficient knowledge base that can adequately represent the indeterminate legal concept of the well-being of the child in the context of continental legal culture and of Polish law in particular. In addition to commonsense reasoning, interpretation of such a concept demands both legal expertise and significant professional knowledge from other domains.

  14. Framing a Knowledge Base for a Legal Expert System Dealing with Indeterminate Concepts

    Directory of Open Access Journals (Sweden)

    Michał Araszkiewicz


    Full Text Available Despite decades of development of formal tools for modelling legal knowledge and reasoning, the creation of a fully fledged legal decision support system remains challenging. Among those challenges, such system requires an enormous amount of commonsense knowledge to derive legal expertise. This paper describes the development of a negotiation decision support system (the Parenting Plan Support System or PPSS to support parents in drafting an agreement (the parenting plan for the exercise of parental custody of minor children after a divorce is granted. The main objective here is to discuss problems of framing an intuitively appealing and computationally efficient knowledge base that can adequately represent the indeterminate legal concept of the well-being of the child in the context of continental legal culture and of Polish law in particular. In addition to commonsense reasoning, interpretation of such a concept demands both legal expertise and significant professional knowledge from other domains.

  15. Fuzzy Logic-based expert system for evaluating cake quality of freeze-dried formulations

    DEFF Research Database (Denmark)

    Trnka, Hjalte; Wu, Jian-Xiong; van de Weert, Marco


    are needed. The aim of this study was to develop a fuzzy logic system based on image analysis (IA) for analyzing cake quality. Freeze-dried samples with different visual quality attributes were prepared in well plates. Imaging solutions together with image analytical routines were developed for extracting...... critical visual features such as the degree of cake collapse, glassiness, and color uniformity. On the basis of the IA outputs, a fuzzy logic system for analysis of these freeze-dried cakes was constructed. After this development phase, the system was tested with a new screening well plate. The developed...... fuzzy logic-based system was found to give comparable quality scores with visual evaluation, making high-throughput classification of cake quality possible....

  16. An expert system for process planning of sheet metal parts produced ...

    Indian Academy of Sciences (India)

    , error-prone and experiencebased. This paper ... The proposed system can be implemented on a PC having VB and AutoCAD software, therefore its low cost of implementation makes it affordable even for small scale sheet metal industries.

  17. KAES: An Expert System for the Algebraic Analysis of Kinship Terminologies


    Read, Dwight W; Behrens, Cliff


    In this paper we discuss a new algebraic approach for analyzing kin terminology structure and describe a computer-based system being created to assist researchers in implementing the algebraic approach. A key aspect of our algebraic analysis is a shift away from a genealogical orientation to one of viewing a kinship terminology as a structured, culturally defined conceptual system. The basic idea is that a kinship terminology can be viewed as a structure consisting of a set of symbols (kin te...

  18. Web-based Expert Decision Support System for Tourism Destination Management in Nigeria


    Yekini Nureni Asafe; Adetoba Bolaji; Aigbokhan Edwin Enaholo; Olufemi Olubukola


    The use of Information Technologies have played and currently playing prominent roles in many organizations, such as business, education, commerce. The tourism industry has witnessed the use and application of various computer-based systems in carrying out one or more activities or operation. But currently there is no computer-based system tourist destination to integrate the tourists (from outside Nigeria) and tourists center within Nigeria, so that tourists can make a pre destination plan a...

  19. Expert Meeting Report: Recommendations for Applying Water Heaters in Combination Space and Domestic Water Heating Systems

    Energy Technology Data Exchange (ETDEWEB)

    Rudd, A.; Ueno, K.; Bergey, D.; Osser, R.


    The topic of this meeting was 'Recommendations For Applying Water Heaters In Combination Space And Domestic Water Heating Systems.' Presentations and discussions centered on the design, performance, and maintenance of these combination systems, with the goal of developing foundational information toward the development of a Building America Measure Guideline on this topic. The meeting was held at the Westford Regency Hotel, in Westford, Massachusetts on 7/31/2011.

  20. Advisory expert system for energy analysis in industrial boilers; Sistema experto asesor en el analisis energetico de calderas industriales

    Energy Technology Data Exchange (ETDEWEB)

    Kemper Valverde, Nicolas; Lara Rosano, Felipe; Vazquez Nava, Rodolfo [Laboratorio de Inteligencia Artificial, Instituto de Ingenieria UNAM, Mexico, D. F. (Mexico)


    This paper presents an expert system for the operational analysis of industrial boilers, estimating the potential of heat recovery, in the small and medium size industry. The package is friendly, practical, flexible easy to maintain and expandable to take into consideration the user`s specific requirements and allows the analysis of the energy losses in the combustion, feed water, drains, and insulation, identifying the enhancements and estimating the saving potential, in energy as well as economical. [Espanol] En este trabajo se presenta un sistema experto para analizar la operacion de calderas industriales estimando el potencial de recuperacion de calor, en la pequena y mediana industria. El paquete es amigable, practico, flexible, facil en su mantenimiento y expandible para tomar en consideracion los requerimientos especificos de los usuarios y permite el analisis de las perdidas de energia en la combustion, agua de alimentacion, purgas y aislamientos, identificando las mejoras y estimando ahorros potenciales, tanto energeticos como economicos.