WorldWideScience

Sample records for based expert systems

  1. Expert system based radionuclide identification

    International Nuclear Information System (INIS)

    An expert system coupled with the gamma spectrum analysis system SAMPO has been developed for automating the qualitative identification of radionuclides as well as for determining the quantitative parameters of the spectrum components. The program is written in C-language and runs in various environments ranging from PCs to UNIX workstations. The expert system utilizes a complete gamma library with over 2600 nuclides and 80,000 lines, and a rule base of about fifty criteria including energies, relative peak intensities, genesis modes, half lives, parent-daughter relationships, etc. The rule base is furthermore extensible by the user. This is not an original contribution but a somewhat updated version of papers and reports previously published elsewhere. (author)

  2. Expert systems and computer based industrial systems

    International Nuclear Information System (INIS)

    Framentec is the artificial intelligence subsidiary of FRAMATOME. It is involved in expert-system activities of Shells, developments, methodology and software for maintenance (Maintex) and consulting and methodology. Specific applications in the nuclear field are presented. The first is an expert system to assist in the piping support design prototype, the second is an expert system that assists an ultrasonic testing operator in determining the nature of a welding defect and the third is a welding machine diagnosis advisor. Maintex is a software tool to provide assistance in the repair of complex industrial equipment. (author)

  3. Expert Systems

    OpenAIRE

    Lucas, P.J.F.

    2005-01-01

    Expert systems mimic the problem-solving activity of human experts in specialized domains by capturing and representing expert knowledge. Expert systems include a knowledge base, an inference engine that derives conclusions from the knowledge, and a user interface. Knowledge may be stored as if-then rules, orusing other formalisms such as frames and predicate logic. Uncertain knowledge may be represented using certainty factors, Bayesian networks, Dempster-Shafer belief functions, or fuzzy se...

  4. EXPERT-SYSTEM BASED MEDICAL STROKE PREVENTION

    Directory of Open Access Journals (Sweden)

    Anindito

    2013-01-01

    Full Text Available Stroke always comes unexpected and the general public is not usually aware of its symptoms. Individuals who have had their first stroke with permanent damage could become an economic burden to their family and a social burden to the society due to their unproductive nature. Stroke could be prevented and its risk factors have been identified. Through a stroke prevention information system, the user could be made more aware of stroke risks and symptoms. An expert system would be able to direct and motivate users to keep themselves healthy therefore preventing first and recurrent strokes. The expert system is built using an inference engine that provides stroke risk level based on information provided by the user. Information collected are self measured blood pressure, cigarettes consumed, amount of physical activity and body mass index. Users are presented with suggested preventive tasks to reduce their stroke risk.

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

    Science.gov (United States)

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

    1990-01-01

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

  6. Web-Based Expert System for Civil Service Regulations: RCSES

    OpenAIRE

    Mofreh Hogo; Khaled Fouad; Fouad Mousa,

    2009-01-01

    Internet and expert systems have offered new ways of sharing and distributing knowledge, but there is a lack of researches in the area of web-based expert systems. This paper introduces a development of a web-based expert system for the regulations of civil service in the Kingdom of Saudi Arabia named as RCSES. It is the first time to develop such system (application of civil service regulations) as well the development of it using web-based approach. The proposed system considers 17 regulati...

  7. A Belief Rule-Based Expert System to Diagnose Influenza

    DEFF Research Database (Denmark)

    Hossain, Mohammad Shahadat; Khalid, Md. Saifuddin; Akter, Shamima;

    2014-01-01

    , development and application of an expert system to diagnose influenza under uncertainty. The recently developed generic belief rule-based inference methodology by using the evidential reasoning (RIMER) approach is employed to develop this expert system, termed as Belief Rule Based Expert System (BRBES). The...... RIMER approach can handle different types of uncertainties, both in knowledge representation, and in inference procedures. The knowledge-base of this system was constructed by using records of the real patient data along with in consultation with the Influenza specialists of Bangladesh. Practical case...

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

    Science.gov (United States)

    Jones, Robert E.; Liberman, Eugene M.

    1992-01-01

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

  9. Web-Based Expert System for Civil Service Regulations: RCSES

    Directory of Open Access Journals (Sweden)

    Mofreh Hogo

    2009-12-01

    Full Text Available Internet and expert systems have offered new ways of sharing and distributing knowledge, but there is a lack of researches in the area of web-based expert systems. This paper introduces a development of a web-based expert system for the regulations of civil service in the Kingdom of Saudi Arabia named as RCSES. It is the first time to develop such system (application of civil service regulations as well the development of it using web-based approach. The proposed system considers 17 regulations of the civil service system. The different phases of developing the RCSES system are presented, as knowledge acquiring and selection, ontology and knowledge representations using XML format. XML-Rule-based knowledge sources and the inference mechanisms were implemented using ASP.net technique. An interactive tool for entering the ontology and knowledge base, and the inferencing was built. It gives the ability to use, modify, update, and extend the existing knowledge base in an easy way. The knowledge was validated by experts in the domain of civil service regulations, and the proposed RCSES was tested, verified, and validated by different technical users and the developers’ staff. The RCSES system is compared with other related web based expert systems, that comparison proved the goodness, usability, and high performance of RCSES.Keywords- Knowledge base; Ontology; RCSES; and Civil regulation;

  10. Expert systems based on algebra of uncertainties with memory in process optimization

    International Nuclear Information System (INIS)

    The hybrid expert system SMOPLEX contains expert systems based on the algebra of uncertainties with memory and traditional simulations of chemical reactions based on functional equations. This expert system gives qualitative advices on the optimization of polymerization process

  11. Improved Ant Colony Optimization Algorithm based Expert System on Nephrology

    Directory of Open Access Journals (Sweden)

    Sri.N.V.Ramana Murty

    2010-07-01

    Full Text Available Expert system Nephrology is a computer program that exhibits, within a specific domain, a degree of expertise in problem solving that is comparable to that of a human expert. The knowledge base consistsof information about a particular problem area. This information is collected from domain experts (doctors. This system mainly contains two modules one is Information System and the other is Expert Advisory system. The Information System contains the static information about different diseases and drugs in the field of Nephrology. This information system helps the patients /users to know about the problems related to kidneys. The Nephrology Advisory system helps the Patients /users to get the required and suitable advice depending on their queries. This medical expert system is developedusing Java Server Pages (JSP as front-end and MYSQL database as Backend in such a way that all the activities are carried out in a user-friendly manner. Improved Ant Colony Optimization Algorithm (ACO along with RETE algorithm is also used for better results.

  12. Knowledge-based expert systems for traffic safety.

    NARCIS (Netherlands)

    Janssen, S.T.M.C.

    1990-01-01

    An expert system for traffic safety uses a "knowledge-base" for the interpretation of the "databases" in which accident data and the characteristics of roads and traffic are stored. Computerized procedures are developed for detection, diagnosis, and remedy. The procedures will be based on what is kn

  13. Evaluation of expert system application based on usability aspects

    Science.gov (United States)

    Munaiseche, C. P. C.; Liando, O. E. S.

    2016-04-01

    Usability usually defined as a point of human acceptance to a product or a system based on understands and right reaction to an interface. The performance of web application has been influence by the quality of the interface of that web to supporting information transfer process. Preferably, before the applications of expert systems were installed in the operational environment, these applications must be evaluated first by usability testing. This research aimed to measure the usability of the expert system application using tasks as interaction media. This study uses an expert system application to diagnose skin disease in human using questionnaire method which utilize the tasks as interaction media in measuring the usability. Certain tasks were executed by the participants in observing usability value of the application. The usability aspects observed were learnability, efficiency, memorability, errors, and satisfaction. Each questionnaire question represent aspects of usability. The results present the usability value for each aspect and the total average merit for all the five-usability aspect was 4.28, this indicated that the tested expert system application is in the range excellent for the usability level, so the application can be implemented as the operated system by user. The main contribution of the study is the research became the first step in using task model in the usability evaluation for the expert system application software.

  14. The microcomputer-based expert system in CAD-PV

    International Nuclear Information System (INIS)

    As a branch of artificial intelligence, expert system has been revealed day after day in more and more engineering scopes since the successful applications of MYCIN in diagnosis and DENDRAL in the molecular structure of organic compounds etc.. But in the design scope of pressure vessel, as we know, only a few papers have so far been published with respect to the expert system. The necessity and feasibility of accompanying CAD-PV with expert system attracted more scholars to engage in. Although many countries, including China, have regularized the design standards or codes for pressure vessel, but of which no one can solve all of the problems concerning the various practical occasions and experiences. In general, the more domain knowledges a design engineer possesses of, the better decision will be made by him. By virtue of the expert system any less experienced engineer could make the optimum decision in design as well as a skilled senior engineer in addition to the application of design code. It is the due significance for developing high level expert system as an intelligence assistant in the plan option of CAD-PV. In this paper we attempt to introduce a specified software JACKPV used in the design procedure of jacketed pressure vessel as an intelligence front in CAD-PV. JACKPV consists of the function of expert system based on the personal computer IBM-PC/XT with the language PASCAL in its program. It was proved that an ordinary CAD software could be effectively improved while equipped with expert system. (orig.)

  15. Digital Library of Expert System Based at Indonesia Technology University

    Directory of Open Access Journals (Sweden)

    Dewa Gede Hendra Divayana

    2015-03-01

    Full Text Available Digital library is a very interesting phenomenon in the world of libraries. In this era of globalization, the digital library is needed by students, faculty, and the community in the search for quick reference through internet access, so that students, faculty, and the community does not have to come directly to the library. Accessing collections of digital libraries can also be done anytime and anywhere. Digital Library development also occurred at Indonesia Technology University. That University offers a digital library based of expert system. The concept of digital library is utilizing science expert system in the process of cataloging and searching digital collections. By using this digital library based of expert system, users can search the collection, reading collection, and download the desired collection by online system. The digital library based of expert system at Indonesia Technology University is built using the PHP programming language, MySQL database as a data base management system, and developed the method of forward chaining and backward chaining as inference engine.

  16. Knowledge Based Expert Advisory System for Transport Demand Management

    Directory of Open Access Journals (Sweden)

    Resdiansyah Mansyur

    2011-01-01

    Full Text Available In view of the fact that supply strategies alone could not solve urban congestion, many cities around the globe have adopted Transport Demand Management (TDM strategies as part and partial of their congestion mitigation plan. TDM comprises several strategies and policies that aim to modifying travelers behaviour. TDM comprises strategies and policies that are different in nature which can be divided into several categories according to  how they affect travelers’ behavior. Selecting and determining suitable TDM strategies for a particular congestion mitigation goal can be a complex task; thus requires expertise. In this regards, the effectiveness of a TDM strategy is primarily depending on whether its selection was appropriately examined prior to its field implementation. This paper presents the development of a Knowledge based expert advisory system for TDM. The process of organizing the available knowledge of TDM strategies, as well as the process leading to the selection of one or more strategy advice, is encoded in the knowledge based expert system shell developed for the purpose by using shell expert system Kappa-PC version 2.4 which was adopted object oriented and high resolution graphical user interface. The advice given from the working system was evaluated and validated by comparing the output of the system against the recommendations made by transportation professionals. The evaluations indicate favourable results for the system. The expert advisory system can be used as a decision support system as well as a teaching tool for junior transportation engineers, planners, private developers, and government officials.

  17. A Model-Based Expert System For Digital Systems Design

    Science.gov (United States)

    Wu, J. G.; Ho, W. P. C.; Hu, Y. H.; Yun, D. Y. Y.; Parng, T. M.

    1987-05-01

    In this paper, we present a model-based expert system for automatic digital systems design. The goal of digital systems design is to generate a workable and efficient design from high level specifications. The formalization of the design process is a necessity for building an efficient automatic CAD system. Our approach combines model-based, heuristic best-first search, and meta-planning techniques from AI to facilitate the design process. The design process is decomposed into three subprocesses. First, the high-level behavioral specifications are translated into sequences of primitive behavioral operations. Next, primitive operations are grouped to form intermediate-level behavioral functions. Finally, structural function modules are selected to implement these functions. Using model-based reasoning on the primitive behavioral operations level extends the solution space considered in design and provides more opportunity for minimization. Heuristic best-first search and meta-planning tech-niques control the decision-making in the latter two subprocesses to optimize the final design. They also facilitate system maintenance by separating design strategy from design knowledge.

  18. Expert-systems and computer-based industrial systems

    International Nuclear Information System (INIS)

    Framatome makes wide use of expert systems, computer-assisted engineering, production management and personnel training. It has set up separate business units and subsidiaries and also participates in other companies which have the relevant expertise. Five examples of the products and services available in these are discussed. These are in the field of applied artificial intelligence and expert-systems, in integrated computer-aid design and engineering, structural analysis, computer-related products and services and document management systems. The structure of the companies involved and the work they are doing is discussed. (UK)

  19. An expert systems application to space base data processing

    Science.gov (United States)

    Babb, Stephen M.

    1988-01-01

    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.

  20. Developing a personal computer based expert system for radionuclide identification

    International Nuclear Information System (INIS)

    Several expert system development tools are available for personal computers today. We have used one of the LISP-based high end tools for nearly two years in developing an expert system for identification of gamma sources. The system contains a radionuclide database of 2055 nuclides and 48000 gamma transitions with a knowledge base of about sixty rules. This application combines a LISP-based inference engine with database management and relatively heavy numerical calculations performed using C-language. The most important feature needed has been the possibility to use LISP and C together with the more advanced object oriented features of the development tool. Main difficulties have been long response times and the big amount (10-16 MB) of computer memory required

  1. Expert Knowledge Base to Support Maintenance of a Radar System

    Directory of Open Access Journals (Sweden)

    Stanislaw Duer

    2010-08-01

    Full Text Available This paper presents the method for the creation of an expert knowledge base of a military object, for example a radar system. Such a knowldge base can be widely used to support the process of the maintenance of a complex technical object. The first step is a maintenance evaluation of the object. During this kind of analysis, it is necessary to perform the grouping and classification of the functional elements of the object.It is realised using the functional scheme of the object presented. Further, diagnostic information is combined with specialised experts' knowledge and transformed it into a set of servicing information. The participation of experts in the process of expert knowledge base preparation is significant. The purpose is to capture information that will be a fundamental for the design of a maintenance system dedicated to the particulartechnical object. The methods proposed were verified with appropriate examples, in which the set of specialised diagnostic information of the object was determined.Defence Science Journal, 2010, 60(5, pp.531-540, DOI:http://dx.doi.org/10.14429/dsj.60.84

  2. An expert system for vibration based diagnostics of rotating machines

    International Nuclear Information System (INIS)

    Very often changes in the mechanical condition of the rotating machinery can be observed as changes in its vibration. This paper presents an expert system for vibration-based diagnosis of rotating machines by describing the architecture of the developed prototype system. The importance of modelling the problem solving knowledge as well as the domain knowledge is emphasized by presenting the knowledge in several levels

  3. Data Process of Diagnose Expert System based on Neural Network

    OpenAIRE

    Shupeng Zhao; Miao Tian; Shifang Zhang; Jiuxi Li; Lijuan Du; Ye Wang

    2013-01-01

    Engine fault has a high rate in the car. Considering about the distinguishing feature of the engine, Engine Diagnosis Expert System was investigated based on Diagnosis Tree module, Fuzzy Neural Network module, and commix reasoning module. It was researched including Knowledge base and Reasoning machine, and so on. In Diagnosis Tree module, the origin problem was searched in right method. In which module distinguishing rate and low error and least cost was the aim. By means of synthesize judge...

  4. Adaptive control with an expert system based supervisory level. Thesis

    Science.gov (United States)

    Sullivan, Gerald A.

    1991-01-01

    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

  5. An expert system for culture-based infection control surveillance.

    OpenAIRE

    Kahn, M. G.; Steib, S. A.; Fraser, V J; Dunagan, W C

    1993-01-01

    Hospital-acquired infections represent a significant cause of prolonged inpatient days and additional hospital charges. We describe an expert system, called GERMWATCHER, which applies the Centers for Disease Control's National Nosocomial Infection Surveillance culture-based criteria for detecting nosocomial infections. GERMWATCHER has been deployed at Barnes Hospital, a large tertiary-care teaching hospital, since February 1993. We describe the Barnes Hospital infection control environment, t...

  6. ICD 10 Based Medical Expert System Using Fuzzy Temporal Logic

    OpenAIRE

    Chinniah, P.; Dr. S.Muttan

    2010-01-01

    Medical diagnosis process involves many levels and considerable amount of time and money are invariably spent for the first level of diagnosis usually made by the physician for all the patients every time. Hence there is a need for a computer based system which not only asks relevant questions to the patients but also aids the physician by giving a set of possible diseases from the symptoms obtained using logic at inference. In this work, an ICD10 based Medical Expert System that provides adv...

  7. Expert System Based on Data Mining and Neural Networks

    Institute of Scientific and Technical Information of China (English)

    NI Zhi-wei; JIA Rui-yu

    2001-01-01

    On the basis of data mining and neural network, this paper proposes a general framework of the neural network expert system and discusses the key techniques in this kind of system. We apply these ideas on agricultural expert system to find some unknown useful knowledge and get some satisfactory results.

  8. ICD 10 Based Medical Expert System Using Fuzzy Temporal Logic

    CERN Document Server

    Chinniah, P

    2010-01-01

    Medical diagnosis process involves many levels and considerable amount of time and money are invariably spent for the first level of diagnosis usually made by the physician for all the patients every time. Hence there is a need for a computer based system which not only asks relevant questions to the patients but also aids the physician by giving a set of possible diseases from the symptoms obtained using logic at inference. In this work, an ICD10 based Medical Expert System that provides advice, information and recommendation to the physician using fuzzy temporal logic. The knowledge base used in this system consists of facts of symptoms and rules on diseases. It also provides fuzzy severity scale and weight factor for symptom and disease and can vary with respect to time. The system generates the possible disease conditions based on modified Euclidean metric using Elders algorithm for effective clustering. The minimum similarity value is used as the decision parameter to identify a disease.

  9. Data Process of Diagnose Expert System based on Neural Network

    Directory of Open Access Journals (Sweden)

    Shupeng Zhao

    2013-12-01

    Full Text Available Engine fault has a high rate in the car. Considering about the distinguishing feature of the engine, Engine Diagnosis Expert System was investigated based on Diagnosis Tree module, Fuzzy Neural Network module, and commix reasoning module. It was researched including Knowledge base and Reasoning machine, and so on. In Diagnosis Tree module, the origin problem was searched in right method. In which module distinguishing rate and low error and least cost was the aim. By means of synthesize judge and fuzzy relation reasoning to get fault origin from symptom, fuzzy synthesize reasoning diagnosis module was researched. Expert knowledge included failure symptom, engine system failure and engine part failure. In the system, Self-diagnosis method and general instruments method worked together, complex failure diagnosis became efficient. The system was intelligent, which was combined by fuzzy logic reasoning and the traditional neural network system. And it became more convenience for failure origin searching, because of utilizing the three methods. The system fuzzy neural networks were combined with fuzzy reasoning and traditional neural networks. Fuzzy neural network failure diagnosis module of system, as a important model was applied to engine diagnosis, with more advantages such as higher efficiency of searching and higher self-learning ability, which was compared with the traditional BP network

  10. Expert Knowledge Base to Support Maintenance of a Radar System

    OpenAIRE

    Stanislaw Duer

    2010-01-01

    This paper presents the method for the creation of an expert knowledge base of a military object, for example a radar system. Such a knowldge base can be widely used to support the process of the maintenance of a complex technical object. The first step is a maintenance evaluation of the object. During this kind of analysis, it is necessary to perform the grouping and classification of the functional elements of the object.It is realised using the functional scheme of the object presented. Fu...

  11. A WEB BASED TOMATO CROP EXPERT INFORMATION SYSTEM BASED ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING ALGORITHMS

    Directory of Open Access Journals (Sweden)

    Prasad Babu M.S

    2010-03-01

    Full Text Available Tomato is now the most widely grown vegetable crop in World. It is grown throughout the world in farm gardens, small home-gardens, and by market gardeners for fresh consumption as well as for processingpurposes. This Tomato crop expert advisory system is aimed at a collaborative venture with eminent Agriculture Scientist and Experts in the area of Tomato Plantation with an excellent team of computer Engineers, programmers and designers. This Expert System contains two main parts one is Tomato Information System and the other is Tomato Crop Expert System where in Information system, the user can get all the static information about different species, Diseases,Symptoms, chemical controls, Preventions, Pests, Virus of Tomato fruits and plants. In Advisory System, the user is having aninteraction with the expert system online; the user has to answer the questions asked by the Expert System. Depends on the response by the user the expert system decides the disease and displays its control measure of disease. This Tomato Crop Information Expert System deals with different varieties of Tomato Crop, Identification of various diseases generally occurs to tomato crop based on the symptoms.This Rule based Expert System validates the symptoms of the tomato crop using the techniques of ID3 Algorithm and some optimization algorithms. This is a Web based Expert System with java as the front end and SQL as the backend.

  12. An expert fitness diagnosis system based on elastic cloud computing.

    Science.gov (United States)

    Tseng, Kevin C; Wu, Chia-Chuan

    2014-01-01

    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. PMID:24723842

  13. Neural network-based expert system for severe accident management

    International Nuclear Information System (INIS)

    This paper presents the results of the second phase of a three-phase Severe Accident Management expert system program underway. The primary objectives of the second phase were to develop and demonstrate four capabilities of neural networks with respect to nuclear power plant severe accident monitoring and prediction. A second objective of the program was to develop an interactive graphical user interface which presented the system's information in an easily accessible and straightforward manner to the user. This paper describes the technical and regulatory foundation upon which the expert system is based and provides a background on the development of a new severe accident management tool. This tool provides data to assist in; (1) planning and developing priorities for recovery actions, (2) evaluating recovery action feasibility, (3) identifying recovery action options, and (4) assessing the timing and possible effects of potential recovery strategies. These performance characteristics represent the goals identified for the Severe Accident Management Strategies Online Network (SAMSON) which is currently under development. 4 refs, 1 fig., 1 tab

  14. Expert systems: An overview

    International Nuclear Information System (INIS)

    The purpose of this article is to introduce readers to the basic principles of rule-based expert systems. Four topics are discussed in subsequent sections: (1) Definition; (2) Structure of an expert system; (3) State of the art and (4) Impact and future research. (orig.)

  15. ICD 10 Based Medical Expert System Using Fuzzy Temporal Logic

    Directory of Open Access Journals (Sweden)

    P.Chinniah

    2009-12-01

    Full Text Available Medical diagnosis process involves many levels and considerable amount of time and money are invariably spent for the first level of diagnosis usually made by the physician for all the patients every time. Hence there is a need for a computer based system which not only asks relevant questions to the patients but also aids the physician by giving a set of possible diseases from the symptoms obtained using logic at inference. In this work, an ICD10 based Medical Expert System that provides advice, information and recommendation to the physician using fuzzy temporal logic. The knowledge base used in this system consists of facts of symptoms and rules on diseases. It also provides fuzzy severity scale and weight factor for symptom and disease and can vary with respect to time. The system generates the possible disease conditions based on modified Euclidean metric using Elder’s algorithm for effective clustering. The minimum similarity value is used as the decision parameter to identify a disease. Keywords -Fuzzy clustering, symptoms, fuzzy severity scale, weight factor, Minkowski distance, ICD, WHO, Rules Base, TSQL

  16. Structure of the knowledge base for an expert labeling system

    Science.gov (United States)

    Rajaram, N. S.

    1981-01-01

    One of the principal objectives of the NASA AgRISTARS program is the inventory of global crop resources using remotely sensed data gathered by Land Satellites (LANDSAT). A central problem in any such crop inventory procedure is the interpretation of LANDSAT images and identification of parts of each image which are covered by a particular crop of interest. This task of labeling is largely a manual one done by trained human analysts and consequently presents obstacles to the development of totally automated crop inventory systems. However, development in knowledge engineering as well as widespread availability of inexpensive hardware and software for artificial intelligence work offers possibilities for developing expert systems for labeling of crops. Such a knowledge based approach to labeling is presented.

  17. Distributed Web-Based Expert System for Launch Operations

    Science.gov (United States)

    Bardina, Jorge E.; Thirumalainambi, Rajkumar

    2005-01-01

    The simulation and modeling of launch operations is based on a representation of the organization of the operations suitable to experiment of the physical, procedural, software, hardware and psychological aspects of space flight operations. The virtual test bed consists of a weather expert system to advice on the effect of weather to the launch operations. It also simulates toxic gas dispersion model, and the risk impact on human health. Since all modeling and simulation is based on the internet, it could reduce the cost of operations of launch and range safety by conducting extensive research before a particular launch. Each model has an independent decision making module to derive the best decision for launch.

  18. Benchmarking expert system tools

    Science.gov (United States)

    Riley, Gary

    1988-01-01

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

  19. Developing a Web-Based Advisory Expert System for Implementing Traffic Calming Strategies

    OpenAIRE

    2014-01-01

    Lack of traffic safety has become a serious issue in residential areas. In this paper, a web-based advisory expert system for the purpose of applying traffic calming strategies on residential streets is described because there currently lacks a structured framework for the implementation of such strategies. Developing an expert system can assist and advise engineers for dealing with traffic safety problems. This expert system is developed to fill the gap between the traffic safety experts and...

  20. Strategies for adding adaptive learning mechanisms to rule-based diagnostic expert systems

    Science.gov (United States)

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

    1988-01-01

    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.

  1. Time-based air traffic management using expert systems

    Science.gov (United States)

    Tobias, L.; Scoggins, J. L.

    1986-01-01

    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.

  2. Rule-based Expert Systems for Selecting Information Systems Development Methodologies

    Directory of Open Access Journals (Sweden)

    Abdel Nasser H. Zaied

    2013-08-01

    Full Text Available Information Systems (IS are increasingly becoming regarded as crucial to an organization's success. Information Systems Development Methodologies (ISDMs are used by organizations to structure the information system development process. ISDMs are essential for structuring project participants’ thinking and actions; therefore ISDMs play an important role to achieve successful projects. There are different ISDMs and no methodology can claim that it can be applied to any organization. The problem facing decision makers is how to select an appropriate development methodology that may increase the probability of system success. This paper takes this issue into account when study ISDMs and provides a Rule-based Expert System as a tool for selecting appropriate ISDMs. The proposed expert system consists of three main phases to automate the process of selecting ISDMs.Three approaches were used to test the proposed expert system. Face validation through six professors and six IS professionals, predictive validation through twenty four experts and blind validation through nine employees working in IT field.The results show that the proposed system was found to be run without any errors, offered a friendly user interface and its suggestions matching user expectations with 95.8%. It also can help project managers, systems' engineers, systems' developers, consultants, and planners in the process of selecting the suitable ISDM. Finally, the results show that the proposed Rule-based Expert System can facilities the selection process especially for new users and non-specialist in Information System field.

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

    Directory of Open Access Journals (Sweden)

    Mohammad Hossein Fazel Zarandi

    2012-01-01

    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.

  4. Development of Knowledge-Based Expert System for Flexible Pavement Design

    Directory of Open Access Journals (Sweden)

    Deprizon

    2009-01-01

    Full Text Available In this study, the knowledge-based expert system approach was used to design a programmer using shell expert system of KAPPA PC Version 2.4 that is object oriented and displaying higher graphic resolutions. The flexible pavement design based on the accumulation of knowledge from several experts, books and journals results in a modular approach. Normally, the process of flexible pavement design is done by experts. The process was computerized and apply artificial intelligent that is a new technology in providing a system that can design and give the suggestion for user to choices the best and economy of the thickness of pavement layers. The expert system was tested using several design calculation samples. From the test, the success is 100% for pavement design. The expert system has revealed satisfactorily findings in a faster layers design.

  5. Study on Missile Intelligent Fault Diagnosis System Based on Fuzzy NN Expert System

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    In order to study intelligent fault diagnosis methods based on fuzzy neural network (NN) expert systemand build up intelligent fault diagnosis for a type of mis-sile weapon system, the concrete implementation of a fuzzyNN fault diagnosis expert system is given in this paper. Based on thorough research of knowledge presentation, theintelligent fault diagnosis system is implemented with artificial intelligence for a large-scale missile weapon equipment.The method is an effective way to perform fuzzy fault diagnosis. Moreover, it provides a new way of the fault diagnosisfor large-scale missile weapon equipment.

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

    Science.gov (United States)

    Liberman, Eugene M.; Jones, Robert E.

    1991-01-01

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

  7. Evolution of expert systems

    Energy Technology Data Exchange (ETDEWEB)

    Biancoli, L.

    1984-03-01

    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. A Web Based Sweet Orange Crop Expert System using Rule Based System and Artificial Bee Colony Optimization Algorithm

    Directory of Open Access Journals (Sweden)

    Prof.M.S.Prasad Babu,

    2010-06-01

    Full Text Available Citrus fruits have a prominent place among popular and exclusively grown tropical and sub-tropical fruits. Their nature ,multifold nutritional and medicinal values have made them so important. Sweet Orange Crop expert advisory system is aimed at a collaborative venture with eminent Agriculture Scientist and Experts in the area of Sweet Orange Plantation with an excellent team of computer Engineers, Programmers and designers. This Expert System contains two main parts one is Sweet Orange Information System and the other is Sweet Orange Crop Expert System where information system, the user can get all the static information about different species, Diseases, Symptoms, chemical controls, Preventions, Pests, Virus of Sweet Orange fruits and plants. In Advisory System , the user is having an interaction with the expert system online; the user has to answer the questions asked by the Expert System. Depends on the response by the user the expert system decides the disease and displays its control measureof disease. This Sweet Orange Crop Information Expert System deals with different varieties of Sweet Crop, Identification of various diseases generally occurs to Sweet Orange crop based on the symptoms.

  9. A method of knowledge base verification and validation for nuclear power plants expert systems

    International Nuclear Information System (INIS)

    The adoption of expert systems mainly as operator supporting systems is becoming increasingly popular as the control algorithms of system become more and more sophisticated and complicated. As a result of this popularity, a large number of expert systems are developed. The nature of expert systems, however, requires that they be verified and validated carefully and that detailed methodologies for their development be devised. Therefore, it is widely noted that assuring the reliability of expert systems is very important, especially in nuclear industry, and it is also recognized that the process of verification and validation is an essential part of reliability assurance for these systems. Research and practices have produced numerous methods for expert system verification and validation (V and V) that suggest traditional software and system approaches to V and V. However, many approaches and methods for expert system V and V are partial, unreliable, and not uniform. The purpose of this paper is to present a new approach to expert system V and V, based on Petri nets, providing a uniform model. We devise and suggest an automated tool, called COKEP (Checker Of Knowledge base using Extended Petri net), for checking incorrectness, inconsistency, and incompleteness in a knowledge base. We also suggest heuristic analysis for validation process to show that the reasoning path is correct

  10. Persuasiveness of expert systems

    NARCIS (Netherlands)

    Dijkstra, JJ; Liebrand, WBG; Timminga, E; Liebrand, Wim B.G.

    1998-01-01

    Expert system advice is not always evaluated by examining its contents. Users can be persuaded by expert system advice because they have certain beliefs about advice given by a computer. The experiment in this paper shows that subjects (n = 84) thought that, given the same argumentation, expert syst

  11. A Knowledge Based Expert-System For Synthetic Aperture Radar Target Recognition

    Science.gov (United States)

    Rogers, Steven K.; Kabrisky, Matthew; Anderson, Steven; Mills, James P.

    1988-03-01

    This paper describes a knowledge-based expert system that uses return features, provided by image analysts, to identify an object as a specific instance or class of object, such as a tank or truck. Partial feature sets allow the expert system to classify occluded and unfamiliar or falsified object data returns to the most likely class with a specified reasoning path. The rule based system was developed using the Prolog version of Ml.

  12. A Method of Rapid Generation of an Expert System Based on SQL Database

    Institute of Scientific and Technical Information of China (English)

    ShunxiangWu; WentingHuang; XiaoshengWang; JiandeGu; MaoqingLi; ShifengLiu

    2004-01-01

    This paper applies the relevant principles and methods of SQL database and Expert System, trying to research the methods and techniques of combining them and design a template of production expert system that is based on SQL database and drived by the database so as to simplify the structure of the knowledge base carried by database, generating the system more conveniently and operating it more effectively.

  13. Expert system in PNC, 5

    International Nuclear Information System (INIS)

    The computer code system which can evaluate the mass balance and cycle cost in nuclear fuel cycle has been developing a PNC using an artificial intelligence technique. This system is composed of the expert system, data base and analysis codes. The expert system is the most important one in the system and the content of the expert system is explained in this paper. The expert system has the three functions. The first is the function of understanding the meaning of user's questions by natural language, the second is the function of selecting the best way to solve the problem given by the user using the knowledge which is already installed in the system, and the last is the function of answering the questions. The knowledge of the experts installed in the expert system is represented by the frame-type rules. Therefore, the knowledge will be simply added to the system, and consequently the system will be easily extended. (author)

  14. ALICE Expert System

    CERN Document Server

    Ionita, C

    2014-01-01

    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...

  15. Knowledge base to develop expert system prototype for predicting groundwater pollution from nitrogen fertilizer

    International Nuclear Information System (INIS)

    An expert system for prediction the impact of nitrogen fertilizer on groundwater pollution potential was established by using CLIPS (NASA's Jonson Space Centre). The knowledge base could be extracted from FAO reports, ministry of agriculture and rural development Malaysia report, established literature and domain expert for preparing an expert system skeleton. An expert system was used to correlate the availability of nitrogen fertilizer with the vulnerability of groundwater to pollution in Peninsula Malaysia and to identify potential groundwater quality problems. An n-fertilizer groundwater pollution potential index produced b using the vulnerability of groundwater to pollution yields a more accurate screening toll for identifying potential pollution problems than by considering vulnerability alone. An expert system can predict the groundwater pollution potential under several conditions of agricultural activities and existing environments. (authors)

  16. Development of the Task-Based Expert System for Machine Fault Diagnosis

    Science.gov (United States)

    Bo, Ma; Zhi-nong, Jiang; Zhong-qing, Wei

    2012-05-01

    The operating mechanism of expert systems widely used in fault diagnosis is to formulate a set of diagnostic rules, according to the mechanism and symptoms of faults, in order to instruct the fault diagnosis or directly give diagnostic results. In practice, due to differences existing in such aspects as production technology, drivers, etc., a certain fault may derive from different causes, which will lead to a lower diagnostic accuracy of expert systems. Besides, a variety of expert systems now available have a dual problem of low generality and low expandability, of which the former can lead to the repeated development of expert systems for different machines, while the latter restricts users from expanding the system. Aimed at these problems, a type of task-based software architecture of expert system is proposed in this paper, which permits a specific optimization based on a set of common rules, and allows users to add or modify rules on a man-machine dialog so as to keep on absorbing and improving the expert knowledge. Finally, the integration of the expert system with the condition monitoring system to implement the automatic and semi-automatic diagnosis is introduced.

  17. Development of the Task-Based Expert System for Machine Fault Diagnosis

    International Nuclear Information System (INIS)

    The operating mechanism of expert systems widely used in fault diagnosis is to formulate a set of diagnostic rules, according to the mechanism and symptoms of faults, in order to instruct the fault diagnosis or directly give diagnostic results. In practice, due to differences existing in such aspects as production technology, drivers, etc., a certain fault may derive from different causes, which will lead to a lower diagnostic accuracy of expert systems. Besides, a variety of expert systems now available have a dual problem of low generality and low expandability, of which the former can lead to the repeated development of expert systems for different machines, while the latter restricts users from expanding the system. Aimed at these problems, a type of task-based software architecture of expert system is proposed in this paper, which permits a specific optimization based on a set of common rules, and allows users to add or modify rules on a man-machine dialog so as to keep on absorbing and improving the expert knowledge. Finally, the integration of the expert system with the condition monitoring system to implement the automatic and semi-automatic diagnosis is introduced.

  18. Development of a tool for knowledge base verification of expert system based on Design/CPN

    International Nuclear Information System (INIS)

    Verification is a necessary work in developing a reliable expert system. Verification is a process aimed at demonstrating whether a system meets it's specified requirements. As expert systems are used in various applications, the knowledge base verification of systems takes an important position. The conventional Petri net approach that has been studied recently in order to verify the knowledge base is found that it is inadequate to verify the knowledge base of large and complex system, such as alarm processing system of nuclear power plant. Thus, we propose an improved method that models the knowledge base as enhanced colored Petri net. In this study, we analyze the reachability and the error characteristics of the knowledge base. Generally, verification process requires computational support by automated tools. For this reason, this study developed a tool for knowledge base verification based on Design/CPN, which is a tool for editing, modeling, and simulating Colored Petri net. This tool uses Enhanced Colored Petri net as a modeling method. By applying this tool to the knowledge base of nuclear power plant, it is noticed that it can successfully check most of the anomalies that can occur in a knowledge base

  19. New construction for expert system based on innovative knowledge discovery technology

    Institute of Scientific and Technical Information of China (English)

    YANG BingRu; SONG Wei; XU ZhangYan

    2007-01-01

    Knowledge acquisition is the bottleneck of expert system. To solve this problem, KD (D&K), which is a comprehensive knowledge discovery process model cooperating both database and knowledge base, and related technology are proposed. Then based on KD (D&K) and related technology, the new construction of Expert System based on Knowledge Discovery (ESKD) is proposed. As the key knowledge acquisition component of ESKD, KD (D&K) is composed of KDD* and KDK*. KDD*-the new process model based on double bases cooperating mechanism; KDK*- the new process model based on double-basis fusion mechanism are introduced, respectively. The overall framework of ESKD is proposed. Some sub-systems and dynamic knowledge base system are discussed. Finally, the effectiveness and advantages of ESKD are tested in a real-world agriculture database. We hope that ESKD may be useful for the new generation of expert systems.

  20. Knowledge acquisition from natural language for expert systems based on classification problem-solving methods

    Science.gov (United States)

    Gomez, Fernando

    1989-01-01

    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.

  1. Neural network based expert system for fault diagnosis of particle accelerators

    International Nuclear Information System (INIS)

    Particle accelerators are generators that produce beams of charged particles, acquiring different energies, depending on the accelerator type. The MGC-20 cyclotron is a cyclic particle accelerator used for accelerating protons, deuterons, alpha particles, and helium-3 to different energies. Its applications include isotope production, nuclear reaction, and mass spectroscopy studies. It is a complicated machine, it consists of five main parts, the ion source, the deflector, the beam transport system, the concentric and harmonic coils, and the radio frequency system. The diagnosis of this device is a very complex task. it depends on the conditions of 27 indicators of the control panel of the device. The accurate diagnosis can lead to a high system reliability and save maintenance costs. so an expert system for the cyclotron fault diagnosis is necessary to be built. In this thesis , a hybrid expert system was developed for the fault diagnosis of the MGC-20 cyclotron. Two intelligent techniques, multilayer feed forward back propagation neural network and the rule based expert system, are integrated as a pre-processor loosely coupled model to build the proposed hybrid expert system. The architecture of the developed hybrid expert system consists of two levels. The first level is two feed forward back propagation neural networks, used for isolating the faulty part of the cyclotron. The second level is the rule based expert system, used for troubleshooting the faults inside the isolated faulty part. 4-6 tabs., 4-5 figs., 36 refs

  2. Rule base system in developing groundwater pollution expert system: predicting model

    International Nuclear Information System (INIS)

    New techniques are now available for use in the protection of the environment. One of these techniques is the use of expert system for prediction groundwater pollution potential. Groundwater Pollution Expert system (GWPES) rules are a collection of principles and procedures used to know the comprehension of groundwater pollution prediction. The rules of groundwater pollution expert system in the form of questions, choice, radio-box, slide rule, button or frame are translated in to IF-THEN rule. The rules including of variables, types, domains and descriptions were used by the function of wxCLIPS (C Language Integrate Production System) expert system shell. (author)

  3. Developing a Web-Based Advisory Expert System for Implementing Traffic Calming Strategies

    Directory of Open Access Journals (Sweden)

    Amir Falamarzi

    2014-01-01

    Full Text Available Lack of traffic safety has become a serious issue in residential areas. In this paper, a web-based advisory expert system for the purpose of applying traffic calming strategies on residential streets is described because there currently lacks a structured framework for the implementation of such strategies. Developing an expert system can assist and advise engineers for dealing with traffic safety problems. This expert system is developed to fill the gap between the traffic safety experts and people who seek to employ traffic calming strategies including decision makers, engineers, and students. In order to build the expert system, examining sources related to traffic calming studies as well as interviewing with domain experts have been carried out. The system includes above 150 rules and 200 images for different types of measures. The system has three main functions including classifying traffic calming measures, prioritizing traffic calming strategies, and presenting solutions for different traffic safety problems. Verifying, validating processes, and comparing the system with similar works have shown that the system is consistent and acceptable for practical uses. Finally, some recommendations for improving the system are presented.

  4. SVHR version 1.0 - A warning message system based on the RECON expert system

    International Nuclear Information System (INIS)

    The structure of the warning message system is outlined and the feasibility of its adaptation to user needs is discussed. The system can be operated on an AT 386 or AT 486 personal computer or on an HP 300 workstation. The version for PC's runs under DOS 5.00, the version for workstations, under operating system HP-UX 7.00. The system can be interfaced to various sources of measured data, which can be completed with calculated data, and the whole is entered into the RECON expert system. This system performs a knowledge-base analysis and according to the results, messages are generated and transmitted to the display module serving as the interactive computer-user unit. The knowledge bases are described for controlling the automated systems at the Mochovce NPP and for WWER-440 reactor shutdown. Basic information is presented concerning the principles, structure and performance of the RECON expert system, including guidelines for operating the various parts of the system. (J.B.). 8 figs

  5. Qpais: A Web-Based Expert System for Assistedidentification of Quarantine Stored Insect Pests

    Science.gov (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.

  6. Machinery fault diagnosis expert system based on case-based reasoning

    Institute of Scientific and Technical Information of China (English)

    LI Wen-hong; SUN Shao-wen; ZHANG Qi

    2007-01-01

    A mechinery fault diagnosis expert system based on case-based reasoning (CBR) technology was established. The process of the CBR fault diagnosis is analyzed from three main aspects: expression and memory, retrieving and matching, and modification and maintenance of a case. The results indicate that the CBR method is flexible and simple to implement, and it has strong self-studying ability. Using a large enough number of case reasoning sets, it can accumulate the experience of problem solving, avoid the difficulty of knowledge acquisition, shorten the course of solving problems, improve efficiency of reasoning, and save the time of developing.

  7. A novel AIDS/HIV intelligent medical consulting system based on expert systems

    OpenAIRE

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

    2013-01-01

    Background: 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. Materials and Methods: 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 stag...

  8. Expert system driven software

    International Nuclear Information System (INIS)

    Using large finite element analysis codes for heat transfer computations and for stresses and displacements under thermal loads computations are not always very simple because of the complexity of the problems and the number of domains involved. Often faulty results from computations are being used until an expert discovers that something was wrong in the simulation. As a result of recent advances in artificial intelligence techniques, solutions to these problems are now possible by making use of knowledge based systems in which expertise in several domains can easily be introduced. In this paper, we present an application of knowledge based systems for a finite element analysis code in heat transfer. The system is fairly general, and we think that application to any well structured numerical code should be straightforward. (orig.)

  9. Implementation of Web-Based Chilli Expert Advisory System Using ABC Optimization Algorithm

    Directory of Open Access Journals (Sweden)

    D.V.P.R.Sridhar,

    2010-09-01

    Full Text Available The presently developed paper deals with the concepts of web based online expert systems and machine learning Algorithms in the field of Artificial Intelligence. An expert system follows the methodology of task-based specification and it is independent in case of problem solving. Where as, the machine learning technique is used to find the good optimal solution. This paper mainly focuses on the investigations on the diseases and treatment to the diseases which were effected to the chilli plants by using the mechanism of Rule based system and Artificial Bee Colony1 (ABC algorithm. The rules in the database is processed by the rule based system and if the required rules are not present in the database, then the system goes to the Machine learning algorithm technique used expert system. Thus, by applying machine learning techniques, resulting to best global optimized solution for recognizing the diseases in chilli plants. This expert system is a web based online application for online users with java as front end and MySQL as backend.

  10. Use programming language Python for construction of knowledge bases and expert systems

    OpenAIRE

    Копей, Володимир Богданович; Семанишин, Леся Михайлівна

    2012-01-01

    On the basis of frames for knowledge representation have been proposed principles for the development of knowledge bases and expert systems on general-purpose programming language Python. Object-oriented and introspection capabilities of Python have been analyzed. The demo of knowledge base and the examples of querying to it have been developed

  11. Combining Self-organizing Feature Map with Support Vector Regression Based on Expert System

    Institute of Scientific and Technical Information of China (English)

    WANGLing; MUZhi-Chun; GUOHui

    2005-01-01

    A new approach is proposed to model nonlinear dynamic systems by combining SOM(self-organizing feature map) with support vector regression (SVR) based on expert system. The whole system has a two-stage neural network architecture. In the first stage SOM is used as a clustering algorithm to partition the whole input space into several disjointed regions. A hierarchical architecture is adopted in the partition to avoid the problem of predetermining the number of partitioned regions. Then, in the second stage, multiple SVR, also called SVR experts, that best fit each partitioned region by the combination of different kernel function of SVR and promote the configuration and tuning of SVR. Finally, to apply this new approach to time-series prediction problems based on the Mackey-Glass differential equation and Santa Fe data, the results show that SVR experts has effective improvement in the generalization performance in comparison with the single SVR model.

  12. Expert systems in statistics

    OpenAIRE

    Δάμη, Μαρία; Vella, Alfred

    1988-01-01

    The problem of misuse of statistical packages and hence statistical methods has long peen recognised but no real solution has yet appeared, although some useful work has been done in related fields. This problem appears to lend itself to expert system technology. This paper outlines the history of research in statistical expert systems, showing how the demands of data analysis are different from those of other fields. Furthermore, the paper reviews some recent work and discu...

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

    Directory of Open Access Journals (Sweden)

    Sam Goundar

    2013-11-01

    Full Text Available 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 Impact Assessment [EIA] system is proposed in this paper to overcome the many challenges faced by practitioners. Fiji’s EIA process is used as a case study. The steps involved in the process are automated as a sequence of computer executable programs with Expert System. Based on the information provided about projects, the EIA system is expected to compute environmental impacts and produce Environment Impact Statements. With the system, a user enters information about the environmental settings in which the development project is expected to take place as well as the proposed development project activities. Based on the input, an expert system with an inference engine uses rules to check the knowledge base and report on possible impacts and mitigation actions. The knowledge base is connected to databases on domain experts, GIS and simulation models.

  14. An expert system-based, on-line rotor crack monitor for utility steam turbines

    International Nuclear Information System (INIS)

    In this paper a steam turbine vibration monitoring system is described that uses a rule-based expert system for data review and fault diagnosis. Steady-state, coast-down, and steam temperature transient vibration signature techniques used by the monitor to detect transverse rotor cracks are summarized. A histogram technique for enhancing the initial appearance of a shallow crack 2/rev response is presented. The use of an expert system to fully automate diagnosis of turbine faults is discussed. Rotor crack and misalignment diagnostic rules are outlined

  15. Development of knowledge Base Expert System for Natural treatment of Diabetes disease

    OpenAIRE

    Sanjeev Kumar Jha; Singh, D.K.

    2012-01-01

    The development of expert system for treatment of Diabetes disease by using natural methods is new information technology derived from Artificial Intelligent research using ESTA (Expert System Text Animation) System. The proposed expert system contains knowledge about various methods of natural treatment methods (Massage, Herbal/Proper Nutrition, Acupuncture, Gems) for Diabetes diseases of Human Beings. The system is developed in the ESTA (Expert System shell for Text Animation) which is Visu...

  16. Expert system. Based advisory system for the operator's mental activities support

    International Nuclear Information System (INIS)

    The operator's mental activity is the most important part of his work. A processing of a large amount of the information by the operator is possible only if he/she possesses appropriate cognitive skills. To facilitate the novice's acquisition of the experienced operator's cognitive skills of the decision-making process a special type of the expert system was developed. The cognitive engineering's models and problem-solving methodology constitutes the basis of this expert system. The article gives an account of the prototype of the mentioned expert system developed to aid the whole mental activity of the nuclear power plant operator during his decision-making process. (author)

  17. PSA-based expert system as an operator assistance during severe accidents

    International Nuclear Information System (INIS)

    In this work, an Expert System is presented, designed to assist the operator of the CAREM-25 Power Station during postulated Severe Accidents. CAREM-25 is a new generation, very low power (100 MWth, 25 Mwe net) nuclear station. The knowledge base of the Expert System was constructed from the Containment Events Trees of the corresponding PSA made for this Power Station. At the same time, the calculations of probabilities were improved. They were implemented in the different branches of the Containment Events Trees using fuzzy arithmetic. The Expert System has been designed in Fuzzy CLIPS V6.04A. In its present state of development it interacts with the user by asking questions that help to determine the state of damage of the plant. Like answers, it gives the data that characterize the state of the plant and the probable states at which the containment would arrive as well as the values from the associated probability. (author)

  18. Psychology of developing and designing expert systems

    Energy Technology Data Exchange (ETDEWEB)

    Tonn, B.; MacGregor, D.

    1986-01-01

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

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

    DEFF Research Database (Denmark)

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

    2015-01-01

    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...

  20. Development of knowledge Base Expert System for Natural treatment of Diabetes disease

    Directory of Open Access Journals (Sweden)

    Sanjeev Kumar Jha

    2012-03-01

    Full Text Available The development of expert system for treatment of Diabetes disease by using natural methods is new information technology derived from Artificial Intelligent research using ESTA (Expert System Text Animation System. The proposed expert system contains knowledge about various methods of natural treatment methods (Massage, Herbal/Proper Nutrition, Acupuncture, Gems for Diabetes diseases of Human Beings. The system is developed in the ESTA (Expert System shell for Text Animation which is Visual Prolog 7.3 Application. The knowledge for the said system will be acquired from domain experts, texts and other related sources

  1. Development of knowledge Base Expert System for Natural treatment of Diabetes disease

    CERN Document Server

    Jha, Sanjeev Kumar

    2012-01-01

    The development of expert system for treatment of Diabetes disease by using natural methods is new information technology derived from Artificial Intelligent research using ESTA (Expert System Text Animation) System. The proposed expert system contains knowledge about various methods of natural treatment methods (Massage, Herbal/Proper Nutrition, Acupuncture, Gems) for Diabetes diseases of Human Beings. The system is developed in the ESTA (Expert System shell for Text Animation) which is Visual Prolog 7.3 Application. The knowledge for the said system will be acquired from domain experts, texts and other related sources.

  2. An approach to build a knowledge base for reactor accident diagnostic expert system disket

    International Nuclear Information System (INIS)

    In the development of a rule based expert system, one of key issues is how to acquire knowledge and to build knowledge base (KB). On building the KB of DISKET, which is an expert system for nuclear reactor accident diagnosis developed in JAERI, several problems have been experienced as follows. To write rules is a time consuming task, and it is difficult to keep the objectivity and consistency of rules as the number of rules increase. Further, certainty factors (CFs) must be often determined according to engineering judgement, i.e. empirically or intuitively. A systematic approach was attempted to handle these difficulties and to build an objective KB efficiently. The approach described in this report is based on the concept that a prototype KB, colloquially speaking ''an initial guess'', should first be generated in a systematic way and then is to be modified and/or improved by human experts for practical use. Statistical methods, principally Factor Analysis, were used as the systematic way to build a prototype KB for the DISKET using a PWR plant simulator data. The source information is a number of data obtained from the simulation of transients, such as the status of components and annunciators etc., and major process parameters like pressures, temperatures and so on. The results of diagnoses shows that the statistical method, Factor Analysis, is powerful for building a prototype of knowledge base of an expert system for reactor accident diagnosis like DISKET. (author)

  3. Expert system rheometry

    Directory of Open Access Journals (Sweden)

    Samiul Amin

    2009-09-01

    Full Text Available Inks, drilling fluids, shower gels and drug delivery vehicles are just a few examples of the many industrial and consumer products based on colloidal and nanostructured complex fluids. The successful formulation of these materials is promoted by understanding how rheological behaviour, which typically dictates performance, relates to underlying microstructure. However, this knowledge can be difficult to obtain for those without the necessary expertise. This article shows how recent developments in rheometer technology address this issue. New rheometers, exemplified by the Kinexus from Malvern have expert knowledge embedded within the instrument and are able to guide users through measurement and data analysis to relevant information. Such systems facilitate development of the design rules to optimize formulations and generate novel and high performance materials of the future.

  4. Identifying influenza-like illness presentation from unstructured general practice clinical narrative using a text classifier rule-based expert system versus a clinical expert

    OpenAIRE

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

    2015-01-01

    Background 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. Methods 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 m...

  5. Expert Diagnosing System for a Rotation Mechanism Based on a Neural Network

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    By combining the artificial neural network with the rule reasoning expert system,an expert diagnosing system for a rotation mechanism was established. This expert system takes advantage of both a neural network and a rule reasoning expert system; it can also make use of all kinds of knowledge in the repository to diagnose the fault with the positive and negative mixing reasoning mode. The binary system was adopted to denote all kinds of fault in a rotation mechanism. The neural networks were trained with a random parallel algorithm (Alopex). The expert system overcomes the self-learning difficulty of the rule reasoning expert system and the shortcoming of poor system control of the neural network.The expert system developed in this paper has powerful diagnosing ability.

  6. Neuro-Knowledge-Based Expert System (NKBES)for Optimal Scheming of Die Casting Process

    Institute of Scientific and Technical Information of China (English)

    Qiaodan HU; Peng LUO; Yi YANG; Liliang CHEN

    2004-01-01

    We develop a neuro-knowledge-based expert system (NKBES) frame in this work. The system mainly concerns with decision of gating system and die casting machine based on a neuro-inference engine launched under the MATLAB software environment. For enhancement of reasoning agility, an error back-propagation neural network was applied.A rapidly convergent adaptive learning rate (ALR) and a momentum-based error back-propagation algorithm was used to conduct neuro-reasoning. The working effect of the system was compared to a conventional expert system that is based on a two-way (forward and backward) chaining inference mechanism. As the reference, the present paper provided the neural networks sum-squared error (SSE) and ALR vs iterative epoch curves of process planning case mentioned above. The study suggests that the neuro-modeling optimization application to die casting process design has good feasibility, and based on that a novel and effective intelligent expert system can be launched at low cost.

  7. VERIFICATION OF CONFLICTION AND UNREACHABILITY IN RULE-BASED EXPERT SYSTEMS WITH MODEL CHECKING

    Directory of Open Access Journals (Sweden)

    Einollah pira

    2014-03-01

    Full Text Available It is important to find optimal solutions for structural errors in rule-based expert systems .Solutions to discovering such errors by using model checking techniques have already been proposed, but these solutions have problems such as state space explosion. In this paper, to overcome these problems, we model the rule-based systems as finite state transition systems and express confliction and unreachabilityas Computation Tree Logic (CTL logic formula and then use the technique of model checking to detect confliction and unreachability in rule-based systems with the model checker UPPAAL.

  8. A fuzzy expert system to Trust-Based Access Control in crowdsourcing environments

    OpenAIRE

    Olusegun Folorunso; Olusegun Afeez Mustapha

    2015-01-01

    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 qu...

  9. Developing a PC-based expert system for fault analysis of reactor instruments

    International Nuclear Information System (INIS)

    This paper describes the development of an expert system for fault analysis of electronic instruments in the CIRUS nuclear reactor. The system was developed in Prolog on an IBM PC-XT compatible computer. A 'model-based' approach (Button et al, 1986) was adopted combining 'frames' and 'rules' to provide flexible control over the inferencing mechanisms. Frames represent the domain-objects as well as the inter-object relationships. They include 'demons' or 'active values' for triggering actions. Rules, along with frames, are used for fault analysis. The rules can be activated either in a data-driven or a goal-driven manner. The use of frames makes rule management easier. It is felt that developing in-house shell proved advantageous, compared to using commercially available shells. Choosing the model-based approach was efficient compared to a production system architecture. Therefore, the use of hybrid representations for diagnostic applications is advocated. Based on the experience, some general recommendations for developing such systems are presented. The expert system helps novice operators to understand the process of diagnosis and achieve a significant required level of competence. The system may not achieve the required level of proficiency by itself, but it can be used to train operators to become experts. (author). 12 refs

  10. Creating an ontology driven rules base for an expert system for medical diagnosis.

    Science.gov (United States)

    Bertaud Gounot, Valérie; Donfack, Valéry; Lasbleiz, Jérémy; Bourde, Annabel; Duvauferrier, Régis

    2011-01-01

    Expert systems of the 1980s have failed on the difficulties of maintaining large rule bases. The current work proposes a method to achieve and maintain rule bases grounded on ontologies (like NCIT). The process described here for an expert system on plasma cell disorder encompasses extraction of a sub-ontology and automatic and comprehensive generation of production rules. The creation of rules is not based directly on classes, but on individuals (instances). Instances can be considered as prototypes of diseases formally defined by "destrictions" in the ontology. Thus, it is possible to use this process to make diagnoses of diseases. The perspectives of this work are considered: the process described with an ontology formalized in OWL1 can be extended by using an ontology in OWL2 and allow reasoning about numerical data in addition to symbolic data. PMID:21893840

  11. Expert systems and nuclear safety

    International Nuclear Information System (INIS)

    The US Nuclear Regulatory Commission (NRC) and the Electric Power Research Institute have initiated a broad-based exploration of means to evaluate the potential applications of expert systems in the nuclear industry. This exploratory effort will assess the use of expert systems to augment the diagnostic and decision-making capabilities of personnel with the goal of enhancing productivity, reliability, and performance. The initial research effort is the development and documentation of guidelines for verifying and validating (V and V) expert systems. An initial application of expert systems in the nuclear industry is to aid operations and maintenance personnel in decision-making tasks. The scope of the decision aiding covers all types of cognitive behavior consisting of skill, rule, and knowledge-based behavior. For example, procedure trackers were designed and tested to support rule-based behavior. Further, these systems automate many of the tedious, error-prone human monitoring tasks, thereby reducing the potential for human error. The paper version of the procedure contains the knowledge base and the rules and thus serves as the basis of the design verification of the procedure tracker. Person-in-the-loop tests serve as the basis for the validation of a procedure tracker. When conducting validation tests, it is important to ascertain that the human retains the locus of control in the use of the expert system

  12. Expert Systems Application In Manufacturing

    Science.gov (United States)

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

    1987-05-01

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

  13. WEB TECHNOLOGY CONVERGENTE WITH EXPERT SYSTEMS

    Directory of Open Access Journals (Sweden)

    Diana-Aderina MOISUC

    2014-11-01

    Full Text Available From the first applications to this day, expert systems have obtained remarkable results in many areas, by using knowledge extracted and transferred from human experts. The main reason behind the advent of expert systems was the potential to provide recommendations to a large number of users. In today’s world, the spread of the Internet and web applications generated an exponential growth of the quantity of information that needs to be processed by an increasing number of users. Under these circumstances emerged the convergence of web technologies with expert systems, resulting in the category of web based expert systems. The potential of traditional expert systems was harnessed by using web technologies, offering new ways of disseminating expertise and knowledge to a mass audience. In this paper we will first review base concepts and features of traditional expert systems and then point out the benefits brought by the development and the use of web based expert systems.

  14. A System for Ontology-Based Sharing of Expert Knowledge in Sustainability Science

    OpenAIRE

    Kraines, Steven; Guo, Weisen

    2011-01-01

    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 pape...

  15. An expert system-based aid for analysis of Emergency Operating Procedures in NPPs

    International Nuclear Information System (INIS)

    Emergency Operating Procedures (EOPs) generally and an accident management (AM) particularly play a significant part in the safety philosophy on NPPs since many years. A better methodology for development and validation of EOPs is desired. A prototype of an Emergency Operating Procedures Analysis System (EOPAS), which has been developed at GRS, is presented in the paper. The hardware configuration and software organisation of the system is briefly reviewed. The main components of the system such as the knowledge base of an expert system and the engineering simulator are described. (author)

  16. A Web-Based Egg-Quality Expert Advisory System using Rule Based and Ant Colony (ACO Optimization Algorithms

    Directory of Open Access Journals (Sweden)

    J. Anitha

    2010-10-01

    Full Text Available This paper deals with the development of Web based online expert systems using Evolutionary Algorithms. An expert system is a computer application that performs a task that would otherwise be performed by a human expert. Here one of the evolutionary algorithms (ACO Algorithm is considered to find a good match of symptoms in the database. In the present paper, Ant Colony Optimization1 (ACO algorithm has been taken as the base and the concept of optimization is included, so that the new algorithm mainly focuses on the determination of the quality of eggs in the poultry farms. At first, the symptoms provided by the user are processed by a rule based expert system for identifying the quality of the eggs. If the rules required for processing the data by the above are not present in the database, then the system automatically calls the machine learning algorithm technique. As a whole, the system results good optimized solution for recognizing the quality and viruses if any affected to eggs in poultry farms. And corresponding treatments to the viruses may also be suggested to the users. This expert system is designed with JSP as front end and MySQL as backend.

  17. Expert systems as decision tools

    International Nuclear Information System (INIS)

    The feasibility of using expert systems as an aid in regulatory compliance functions has been investigated. A literature review was carried out to identify applications of expert systems to regulatory affairs. A bibliography of the small literature on such applications was prepared. A prototype system, ARIES, was developed to demonstrate the use of an expert system as an aid to a Project Officer in assuring compliance with licence requirements. The system runs on a personal computer with a graphical interface. Extensive use is made of hypertext to link interrelated rules and requirements as well as to provide an explanation facility. Based on the performance of ARIES the development of a field version is recommended

  18. Intelligent Layering Expert System of the Tread Winding Line Based on LabVIEW

    Directory of Open Access Journals (Sweden)

    Shi-Feng Yang

    2014-02-01

    Full Text Available    Tread winding technology is widely used in the process of tire molding. Technologists use traditional process of developing new products with tread winding line relying only on personal experience for operations like manually layering of the new product tread outline. In this way, the rubber distribution stability of each layer will be affected, prolong development time, and increase the development cost and rejection rate. In this paper, we propose an intelligent layering expert system with technology expert experience based on the LabVIEW by analyzing the mass of data and building a mathematical model of automatic layering rules. In practical application, this system reduces the shortcomings of the traditional development by shortening the impact of the production research, development cycle and reducing the development cost and hence provision of good economic benefits.

  19. An approach to build a knowledge base for reactor accident diagnostic expert system

    International Nuclear Information System (INIS)

    In the development of a rule based expert system, one of the key issues is how to acquire knowledge and to build knowledge base (KB). On building the KB of DISKET, which is an expert system for nuclear reactor accident diagnosis developed in JAERI, several problems have been experienced as follows. To write rules is a time consuming task, and it is difficult to keep the objectivity and consistency of rules as the number of rules increase. Further, certainty factors (CFs) must be often determined according to engineering judgment, i.e., empirically or intuitively. A systematic approach was attempted to handle these difficulties and to build an objective KB efficiently. The approach described in this paper is based on the concept that a prototype KB, colloquially speaking an initial guess, should first be generated in a systematic way and then is to be modified and/or improved by human experts for practical use. Statistical methods, principally Factor Analysis, were used as the systematic way to build a prototype KB for the DISKET using a PWR plant simulator data. The source information is a number of data obtained from the simulation of transients, such as the status of components and annunciator etc., and major process parameters like pressures, temperatures and so on

  20. Research on the Algorithm of Avionic Device Fault Diagnosis Based on Fuzzy Expert System

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Based on the fuzzy expert system fault diagnosis theory, the knowledge base architecture and inference engine algorithm are put forward for avionic device fault diagnosis. The knowledge base is constructed by fault query network, of which the basic element is the test-diagnosis fault unit. Every underlying fault cause's membership degree is calculated using fuzzy product inference algorithm, and the fault answer best selection algorithm is developed, to which the deep knowledge is applied. Using some examples,the proposed algorithm is analyzed for its capability of synthesis diagnosis and its improvement compared to greater membership degree first principle.

  1. Research on a Neural Network Approach Based Diagnosis Expert System of Crack Control in Massive Concrete

    Institute of Scientific and Technical Information of China (English)

    HAN Liu-xin; WANG Huan-chen; ZHANG Xian-hui

    2001-01-01

    A detailed study of the capabilities of artificial neural networks to diagnoses cracks in massive concrete structures is presented. This paper includes the components of the expert system such as design thought, basic structure, building of knowledge base and the implementation of neural network applied model. The realizing method of neural network based clustering algorithm in the knowledge base and selfstudy is analyzed emphatically and stimulated by means of the computer. From the above study, some important conclusions have been drawn and some new viewpoints have been suggested.

  2. A method of knowledge base verification for nuclear power plant expert systems using extended Petri Nets

    International Nuclear Information System (INIS)

    The adoption of expert systems mainly as operator supporting systems is becoming increasingly popular as the control algorithms of system become more and more sophisticated and complicated. The verification phase of knowledge base is an important part for developing reliable expert systems, especially in nuclear industry. Although several strategies or tools have been developed to perform potential error checking, they often neglect the reliability of verification methods. Because a Petri net provides a uniform mathematical formalization of knowledge base, it has been employed for knowledge base verification. In this work, we devise and suggest an automated tool, called COKEP(Checker of Knowledge base using Extended Petri net), for detecting incorrectness, inconsistency, and incompleteness in a knowledge base. The scope of the verification problem is expended to chained errors, unlike previous studies that assume error incidence to be limited to rule pairs only. In addition, we consider certainty factor in checking, because most of knowledge bases have certainly factors. 8 refs,. 2 figs,. 4 tabs. (author)

  3. Knowledge base expert system control of spatial xenon oscillations in pressurized water reactors

    International Nuclear Information System (INIS)

    Nuclear reactor operators are required to pay special attention to spatial xenon oscillations during the load-follow operation of pressurized water reactors. They are expected to observe the axial offset of the core, and to estimate the correct time and amount of necessary control action based on heuristic rules given in axial xenon oscillations are knowledge intensive, and heuristic in nature. An expert system, ACES (Axial offset Control using Expert Systems) is developed to implement a heuristic constant axial offset control procedure to aid reactor operators in increasing the plant reliability by reducing the human error component of the failure probability. ACES is written in a production system language, OPS5, based on the forward chaining algorithm. It samples reactor data with a certain time interval in terms of measurable parameters, such as the power, period, and the axial offset of the core. It then processes the core status utilizing a set of equations which are used in a back of the envelope calculations by domain experts. Heuristic rules of ACES identify the control variable to be used among the full and part length control rods and boron concentration, while a knowledge base is used to determine the amount of control. ACES is designed as a set of generic rules to avoid reducing the system into a set of patterns. Instead ACES evaluates the system, determines the necessary corrective actions in terms of reactivity insertion, and provides this reactivity insertion using the control variables. The amount of control action is determined using a knowledge base which consists of the differential rod worth curves, and the boron reactivity worth of a given reactor. Having the reactor dependent parameters in its knowledge base, ACES is applicable to an arbitrary reactor for axial offset control purposes

  4. Expert Systems - A Natural History

    OpenAIRE

    Shadbolt, N R

    1989-01-01

    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.

  5. Expert systems in clinical practice

    International Nuclear Information System (INIS)

    The first expert systems prototypes intended for advising physicians on diagnosis or therapy selection have been designed more than ten years ago. However, a few of them are already in use in clinical practice after years of research and development efforts. The capabilities of these systems to reason symbolically and to mimic the hypothetico-deductive processes used by physicians distinguishes them from conventional computer programs. Their power comes from their knowledge-base which embeds a large quantity of high-level, specialized knowledge captured from medical experts. Common methods for knowledge representation include production rules and frames. These methods also provide a mean for organizing and structuring the knowledge according to hierarchical or causal links. The best expert-systems perform at the level of the experts. They are easy to learn and use, and can communicate with the user in pseudo-natural language. Moreover they are able to explain their line of reasoning. These capabilities make them potentially useful, usable and acceptable by physicians. However if the problems related to difficulties and costs in building expert-systems are on the way to be solved within the next few years, forensic and ethical issues should have to be addressed before one can envisage their routine use in clinical practice

  6. An American knowledge base in England - Alternate implementations of an expert system flight status monitor

    Science.gov (United States)

    Butler, G. F.; Graves, A. T.; Disbrow, J. D.; Duke, E. L.

    1989-01-01

    A joint activity between the Dryden Flight Research Facility of the NASA Ames Research Center (Ames-Dryden) and the Royal Aerospace Establishment (RAE) on knowledge-based systems has been agreed. Under the agreement, a flight status monitor knowledge base developed at Ames-Dryden has been implemented using the real-time AI (artificial intelligence) toolkit MUSE, which was developed in the UK. Here, the background to the cooperation is described and the details of the flight status monitor and a prototype MUSE implementation are presented. It is noted that the capabilities of the expert-system flight status monitor to monitor data downlinked from the flight test aircraft and to generate information on the state and health of the system for the test engineers provides increased safety during flight testing of new systems. Furthermore, the expert-system flight status monitor provides the systems engineers with ready access to the large amount of information required to describe a complex aircraft system.

  7. Modeling and Optimization for Heat Exchanger Networks Synthesis Based on Expert System and Genetic Algorithm

    Institute of Scientific and Technical Information of China (English)

    LIZhihong

    2002-01-01

    A new superstructure from of heat exchanger networks(HEN) is proposed based on expert system (ES). The new superstructure from is combined with the practical engineering.The different investment cost formula for different heat exchanger is also presented based on ES.The mathematical model for the simultaneous optimization of network configuration is established and solved by a genetic algorithm.This method can deal with larger scale HEN synthesis and the optimal HEN configuration is obtained automatically.Finally,a case study is presented to demonstrate the effectiveness of the method.

  8. Heat exchanger demonstration expert system

    Science.gov (United States)

    Bagby, D. G.; Cormier, R. A.

    1988-05-01

    A real-time expert system intended for detecting and diagnosing faults in a 20 kW microwave transmitter heat exchanger is described. The expert system was developed on a LISP machine, Incorporated (LMI), Lambda Plus computer using Process Intelligent Control (PICON) software. The Heat Exhanger Expert System was tested and debugged. Future applications and extensions of the expert system to transmitters, masers, and antenna subassemblies are discussed.

  9. Integration of Rule Based Expert Systems and Case Based Reasoning in an Acute Bacterial Meningitis Clinical Decision Support System

    CERN Document Server

    Cabrera, Mariana Maceiras

    2010-01-01

    This article presents the results of the research carried out on the development of a medical diagnostic system applied to the Acute Bacterial Meningitis, using the Case Based Reasoning methodology. The research was focused on the implementation of the adaptation stage, from the integration of Case Based Reasoning and Rule Based Expert Systems. In this adaptation stage we use a higher level RBC that stores and allows reutilizing change experiences, combined with a classic rule-based inference engine. In order to take into account the most evident clinical situation, a pre-diagnosis stage is implemented using a rule engine that, given an evident situation, emits the corresponding diagnosis and avoids the complete process.

  10. 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

    2010-01-01

    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.

  11. Simulation-based expert system for nuclear reactor control and diagnostics. Progress report

    International Nuclear Information System (INIS)

    This research concerns the development of artificial intelligence (AI) techniques suitable for application to the diagnostics and control of nuclear power plant systems. The overall objective of the current effort is to build a prototype simulation-based expert system for diagnosing accidents in nuclear reactors. The system is being designed to analyze plant data heuristically using fuzzy logic to form a set of hypotheses about a particular transient. Hypothesis testing, fault magnitude estimation and transient analysis is performed using simulation programs to model plant behavior. An adaptive learning technique has been developed for achieving accurate simulations of plant dynamics using low-order physical models of plant components. The results of the diagnostics and simulation analysis of the plant transient are to be analyzed by an expert system for final diagnoses and control guidance. To date, significant progress has been made toward achieving the primary goals of this project. Based on a critical safety functions approach, an overall design for the nuclear plant expert system has been developed. The methodology for performing diagnostic reasoning on plant signals has been developed and the algorithms implemented and tested. A methodology for utilizing the information contained in the physical models of plant components has also been developed. This work included the derivation of a unique Kalman filtering algorithm for using power plant data to systematically improve on-line simulations through the judicious adjustment of key model parameters. A few simulation models of key plant components have been developed and implemented to demonstrate the method on a realistic accident scenario. The chosen transient is a loss of feed flow exasperated by a stuck open relief valve, similar to the initiating event of the Three Mile Island Unit 2 accident in 1979

  12. Development of a QFD-based expert system for CNC turning centre selection

    Science.gov (United States)

    Prasad, Kanika; Chakraborty, Shankar

    2015-10-01

    Computer numerical control (CNC) machine tools are automated devices capable of generating complicated and intricate product shapes in shorter time. Selection of the best CNC machine tool is a critical, complex and time-consuming task due to availability of a wide range of alternatives and conflicting nature of several evaluation criteria. Although, the past researchers had attempted to select the appropriate machining centres using different knowledge-based systems, mathematical models and multi-criteria decision-making methods, none of those approaches has given due importance to the voice of customers. The aforesaid limitation can be overcome using quality function deployment (QFD) technique, which is a systematic approach for integrating customers' needs and designing the product to meet those needs first time and every time. In this paper, the adopted QFD-based methodology helps in selecting CNC turning centres for a manufacturing organization, providing due importance to the voice of customers to meet their requirements. An expert system based on QFD technique is developed in Visual BASIC 6.0 to automate the CNC turning centre selection procedure for different production plans. Three illustrative examples are demonstrated to explain the real-time applicability of the developed expert system.

  13. Risk management and expert system development methodology

    Science.gov (United States)

    Hull, Larry; Gilstrap, Lewey

    1991-01-01

    A risk-based expert-system development methodology has been developed to provide guidance to managers and technical personnel and to serve as a standard for developing expert systems. Expert-system development differs from conventional software development in that the information needed to prepare system requirements for expert systems is not known at the outset of a project and is obtained by knowledge engineering methods. The paper describes the expert-system life cycle, development methodology, and the approach taken in this methodology to manage and reduce the risks in expert system development. Also examined are the risks of using and of not using a methodology, the studies undertaken to validate the provisions of the expert system development methodology, and the results of these validation studies.

  14. Continued experimental evaluations of a diagnostic rule-based expert system for the nuclear industry

    International Nuclear Information System (INIS)

    This experiment which was the second in a series, conducted at the OECD Halden Reactor Project, Halden, Norway in the spring 1991, aimed to assess the effect on nuclear power plant operators diagnostic behaviour when using a rule based diagnostic expert system. The rule based expert system used in the experiment is called DISKET (Diagnosis System Using Knowledge Engineering Technique) and was originally developed by the Japan Atomic Energy Research Institute (JAERI). The experiment was performed in the Halden man-machine laboratory using a full scope pressurized water reactor simulator called NORS. Operator performance in terms of quality of diagnosis is improved by the use of SISKET. The use of the DISKET system also influences operators problem solving behaviour. The main difference between the two experimental conditions can be characterized as while the DISKET users during the diagnosis process are following a strategy which is direct and narrowed, the non-DISKET users are using a much broader and less focused search when trying to diagnose a disturbance. (author)

  15. Matrix Failure Modes and Effects Analysis as a Knowledge Base for a Real Time Automated Diagnosis Expert System

    Science.gov (United States)

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

    1994-01-01

    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.

  16. Hybrid Ant Bee Algorithm for Fuzzy Expert System Based Sample Classification.

    Science.gov (United States)

    GaneshKumar, Pugalendhi; Rani, Chellasamy; Devaraj, Durairaj; Victoire, T Aruldoss Albert

    2014-01-01

    Accuracy maximization and complexity minimization are the two main goals of a fuzzy expert system based microarray data classification. Our previous Genetic Swarm Algorithm (GSA) approach has improved the classification accuracy of the fuzzy expert system at the cost of their interpretability. The if-then rules produced by the GSA are lengthy and complex which is difficult for the physician to understand. To address this interpretability-accuracy tradeoff, the rule set is represented using integer numbers and the task of rule generation is treated as a combinatorial optimization task. Ant colony optimization (ACO) with local and global pheromone updations are applied to find out the fuzzy partition based on the gene expression values for generating simpler rule set. In order to address the formless and continuous expression values of a gene, this paper employs artificial bee colony (ABC) algorithm to evolve the points of membership function. Mutual Information is used for idenfication of informative genes. The performance of the proposed hybrid Ant Bee Algorithm (ABA) is evaluated using six gene expression data sets. From the simulation study, it is found that the proposed approach generated an accurate fuzzy system with highly interpretable and compact rules for all the data sets when compared with other approaches. PMID:26355782

  17. Prototype of an expert system based nuclear power plant information systems

    International Nuclear Information System (INIS)

    The components and functioning of the GPCS information system applicable for intelligent process monitoring and alarm generation in a WWER-440 type nuclear power plant are described. The prototype system has been developed by using the G2 expert system, plant measurements were simulated by a WWER-440 compact simulator and by archive replay sessions performed by the VERONA-u core monitoring system. The GPCS contains an object oriented description of the basic subsystems of the plant and concentrates on the fast evaluation/displaying of measurements and alarms. The high-level information reflecting actual plant safety status is synthesized from primary measured data, by forming global alarms and by evaluating logical diagrams. (author). 10 refs, 4 figs

  18. A study on development of a rule based expert system for steam generator life extension

    International Nuclear Information System (INIS)

    The need of predicting the integrity of the steam generator(SG) tubes and environmental conditions that affect their integrity is growing to secure nuclear power plant(NPP) safety and enhance plant availability. To achieve their objectives it is important to diagnose the integrity of the SG tubes. An expert system called FEMODES(failure mode diagnosis expert system) has been developed for diagnosis of such tube degradation phenomena as denting, intergranular attack(IGA) and stress corrosion cracking(SCC) in the secondary side of the SG. It is possible with use of FEMODES to estimate possibilities of SG tube degradation and diagnosis environmental conditions that influence such tube degradation. The method of certainty factor theory(CFT) and the rule based backward reasoning inference strategy are used to develop FEMODES. The information required for diagnosis is acquired from SG tube degradation experiences of two local reference plants, some limited oversea plants and technical reports/research papers about such tube degradation. Overall results estimated with use of FEMODES are in reasonable agreement with actual SG tube degradation. Some discrepancy observed in several estimated values of SG tube degradation appears to be due to insufficient heuristic knowledge for knowledge data base of FEMODES

  19. A fuzzy expert system to Trust-Based Access Control in crowdsourcing environments

    Directory of Open Access Journals (Sweden)

    Olusegun Folorunso

    2015-07-01

    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.

  20. A Rule-Based Expert System for Construction and Demolition Waste Management

    OpenAIRE

    Leila Ooshaksaraie; Alireza Mardookhpour

    2011-01-01

    Problem statement: The construction industry generates lots of construction waste which caused significant impacts on the environment and aroused growing public concern in the local community. Construction waste is becoming a serious environmental problem in many large cities in the world. Approach: In recent years, expert systems have been used extensively in different applications areas including environmental studies. In this study, expert system software -CDWM- developed by using Microsof...

  1. A Rule-Based Expert System for Construction and Demolition Waste Management

    Directory of Open Access Journals (Sweden)

    Leila Ooshaksaraie

    2011-01-01

    Full Text Available Problem statement: The construction industry generates lots of construction waste which caused significant impacts on the environment and aroused growing public concern in the local community. Construction waste is becoming a serious environmental problem in many large cities in the world. Approach: In recent years, expert systems have been used extensively in different applications areas including environmental studies. In this study, expert system software -CDWM- developed by using Microsoft Visual Basic was introduced. CDWM to be used for construction waste management plan was designed based on the legal process. Results: According to the construction waste management regulation enacted, construction activities require mandatory construction waste management plan before staring activities. CDWM primarily aims to provide educational and support system for construction engineers and decision-makers during construction activities. It displays construction waste management plan in report form and the best location of construction waste storage area in GIS format. Conclusion: When the use of CDWM in construction waste management plan becomes widespread, it is highly possible that it will be benefited in terms of having more accurate and objective decisions on construction projects which are mainly focused on reducing the construction waste.

  2. Web-based Expert Decision Support System for Tourism Destination Management in Nigeria

    Directory of Open Access Journals (Sweden)

    Yekini Nureni Asafe

    2013-04-01

    Full Text Available 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 and decision before venturing into tourism journey to the country Nigeria. The authors of this paper proposed the design of web-based Expert Decision System (WEDSS, to provide tourist to Nigeria and its environ essential data and tools to managing their tours and to base all the decisions concerning to queries on the, tourist centers and hotels based on the following issue; climate, road conditions, cultural aspects, lodging, health facilities, banking, etc. of the location to be visited on sound and rational bases. Web-Based Tourist Decision Support System (WEDSS for Nigeria will be developed to allow the tourist to find their route in Nigeria and ask for information about sights, accommodations and other places of interest which are nearby to him to improve the convenience, safety, efficiency of travel and enhance tourism attraction of tourists.

  3. Intrusion Detection Approach Using Connectionist Expert System

    Institute of Scientific and Technical Information of China (English)

    MA Rui; LIU Yu-shu; DU Yan-hui

    2005-01-01

    In order to improve the detection efficiency of rule-based expert systems, an intrusion detection approach using connectionist expert system is proposed. The approach converts the AND/OR nodes into the corresponding neurons, adopts the three-layered feed forward network with full interconnection between layers,translates the feature values into the continuous values belong to the interval [0, 1 ], shows the confidence degree about intrusion detection rules using the weight values of the neural networks and makes uncertain inference with sigmoid function. Compared with the rule-based expert system, the neural network expert system improves the inference efficiency.

  4. Expert Antiskid System

    Science.gov (United States)

    Matsumoto, N.; Kuraoka, H.; Ohka, N.; Ohba, M.; Tabe, T.

    1987-10-01

    In this paper we discuss how to generate the command value for the optimal regulator in an automotive antiskid system. First, the behavior of the vehicle at braking is expressed as a mathematical model with the formulation by physical consideration and identification of the hydraulic system by statistical methods. An optimal regulator with additional integral is applied to the automotive antiskid control in order to make the each wheel speed follow any command value. However, the desired command value to stop the vehicle efficiently and stably is dependent on ambiguous road surface conditions. Thus, how to determine the desired command value under the moment-to-moment conditions is most important. A method for inferring the conditions is developed using fuzzy logic, with three fuzzy variables expressing the conditions adequately. On the basis of the inference, the ideal command values are generated. Outstanding control performance and good adaptability are obtained in vehicle experiments. Consequently, the Expert Antiskid System, employing modern control theory and fuzzy logic, can stop a vehicle efficiently and stably under any condition.

  5. A center for commercial development of space: Real-time satellite mapping. Remote sensing-based agricultural information expert system

    Science.gov (United States)

    Hadipriono, Fabian C.; Diaz, Carlos F.; Merritt, Earl S.

    1989-01-01

    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.

  6. Rule Management in Expert Database Systems

    OpenAIRE

    Arie Segev; J. Leon Zhao

    1994-01-01

    Expert database systems combine database and expert systems technologies to support the effective management of both rules and data. This paper studies rule processing strategies in expert database systems involving rules that are conditional on joins of relational data. Auxiliary constructs for processing join rules are proposed, and a framework of join rule processing strategies is developed. Cost functions of several strategies are derived based on a stochastic model that characterizes the...

  7. Isis: An expert system for risk-based inservice inspection assessment

    International Nuclear Information System (INIS)

    The ASME Section XI Working Group on Implementation of Risk-Based (RB) Examination produced a code case to define risk-based selection rules that could be used for In-Service Inspection (ISI) of Class 1, 2 and 3 piping. To provide guidelines for practical implementation of the code case, EPRI sponsored work to develop evaluation procedures and criteria. The approach focuses inspections on locations which are selected based upon an explicit consideration of experienced degradation mechanisms and potential consequences. Software has been developed to execute and document this approach. Data and expert system modules address system operating characteristics, design attributes, the potential for damage mechanisms and the impact of component failures (i.e., loss of pressure boundary integrity). These modules are integrated in a stand alone software package. In addition, because the system is microcomputer based, the software is not cumbersome or costly to deploy. The goal of this effort was to develop a tool that will accomplish two tasks. That is, (1) Reduce the cost of the Risk Based Inservice Inspection (RBISI) evaluation effort by increasing the productivity of the BISI analyst, and (2) Provide a structured analytical and documentation package that lends itself to increases in consistency within an individual plant application, as well as across the industry

  8. The development of a knowledge base in an expert system based on the four-layer perceptron neural network

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Owing to continuous production lines with large amount of consecutive controls, various control signals and huge logistic relations, this paper introduced the methods and principles of the development of knowledge base in a fault diagnosis expert system that was based on machine learning by the four-layer perceptron neural network. An example was presented. By combining differential function with not differentia function and back propagation of error with back propagation of expectation, the four-layer perceptron neural network was established. And it was good for solving such a bottleneck problem in knowledge acquisition in expert system and enhancing real-time on-line diagnosis. A method of synthetic back propagation was designed, which broke the limit to non-differentiable function in BP neural network.

  9. Computer-Based Diagnostic Expert Systems in Rheumatology: Where Do We Stand in 2014?

    Directory of Open Access Journals (Sweden)

    Hannes Alder

    2014-01-01

    Full Text Available Background. The early detection of rheumatic diseases and the treatment to target have become of utmost importance to control the disease and improve its prognosis. However, establishing a diagnosis in early stages is challenging as many diseases initially present with similar symptoms and signs. Expert systems are computer programs designed to support the human decision making and have been developed in almost every field of medicine. Methods. This review focuses on the developments in the field of rheumatology to give a comprehensive insight. Medline, Embase, and Cochrane Library were searched. Results. Reports of 25 expert systems with different design and field of application were found. The performance of 19 of the identified expert systems was evaluated. The proportion of correctly diagnosed cases was between 43.1 and 99.9%. Sensitivity and specificity ranged from 62 to 100 and 88 to 98%, respectively. Conclusions. Promising diagnostic expert systems with moderate to excellent performance were identified. The validation process was in general underappreciated. None of the systems, however, seemed to have succeeded in daily practice. This review identifies optimal characteristics to increase the survival rate of expert systems and may serve as valuable information for future developments in the field.

  10. BWR recirculation pump diagnostic expert system

    International Nuclear Information System (INIS)

    At General Electric (GE), an on-line expert system to support maintenance decisions for BWR recirculation pumps for nuclear power plants has been developed. This diagnostic expert system is an interactive on-line system that furnishes diagnostic information concerning BWR recirculation pump operational problems. It effectively provides the recirculation pump diagnostic expertise in the plant control room continuously 24 hours a day. The expert system is interfaced to an on-line monitoring system, which uses existing plant sensors to acquire non-safety related data in real time. The expert system correlates and evaluates process data and vibration data by applying expert rules to determine the condition of a BWR recirculation pump system by applying knowledge based rules. Any diagnosis will be automatically displayed, indicating which pump may have a problem, the category of the problem, and the degree of concern expressed by the validity index and color hierarchy. The rules incorporate the expert knowledge from various technical sources such as plant experience, engineering principles, and published reports. These rules are installed in IF-THEN formats and the resulting truth values are also expressed in fuzzy terms and a certainty factor called a validity index. This GE Recirculation Pump Expert System uses industry-standard software, hardware, and network access to provide flexible interfaces with other possible data acquisition systems. Gensym G2 Real-Time Expert System is used for the expert shell and provides the graphical user interface, knowledge base, and inference engine capabilities. (author)

  11. TRUST BASED AUTOMATIC QUERY FORMULATION SEARCH ON EXPERT AND KNOWLEDGE USERS SYSTEMS

    Directory of Open Access Journals (Sweden)

    K. Sridharan

    2014-01-01

    Full Text Available Due to enhance in complexity of services, there is a necessity for dynamic interaction models. For a service-oriented system to work properly, we need a context-sensitive trust based search. Automatic information transfer is also deficient when unexpected query is given. However, it shows that search engines are vulnerable in answering intellectual queries and shows an unreliable outcome. The user cannot have a fulfillment with these results due to lack of trusts on blogs. In our modified trust algorithm, which process exact skill matching and retrieval of information based on proper content rank. Our contribution to this system is new modified trust algorithm with automatic formulation of meaningful query search to retrieve the exact contents from the top-ranked documents based on the expert rank and their content quality verified of their resources provided. Some semantic search engines cannot show their important performance in improving precision and lowering recall. It hence effectively reduces complexity in combining HPS and software services.

  12. Expert system for estimating LWR plutonium production

    International Nuclear Information System (INIS)

    An Artificial Intelligence-Expert System called APES (Analysis of Proliferation by Expert System) has been developed and tested to permit a non proliferation expert to evaluate the capability and capacity of a specified LWR reactor and PUREX reprocessing system for producing and separating plutonium even when system information may be limited and uncertain. APES employs an expert system coded in LISP and based upon an HP-RL (Hewlett Packard-Representational Language) Expert System Shell. The user I/O interface communicates with a blackboard and the knowledge base which contains the quantitative models required to describe the reactor, selected fission product production and radioactive decay processes, Purex reprocessing and ancillary knowledge

  13. Assessment of giant panda habitat based on integration of expert system and neural network

    NARCIS (Netherlands)

    Liu, X.; Skidmore, A.K.; Bronsveld, M.C.

    2006-01-01

    To conserve giant panda effectively, it is important to understand the spatial pattern and temporal change of its habitat. Mapping is an effective approach for wildlife habitat evaluation and monitoring. The application of recently developed artificial intelligence tools, including expert systems an

  14. Expert system modeling of a vision system

    Science.gov (United States)

    Reihani, Kamran; Thompson, Wiley E.

    1992-05-01

    The proposed artificial intelligence-based vision model incorporates natural recognition processes depicted as a visual pyramid and hierarchical representation of objects in the database. The visual pyramid, with based and apex representing pixels and image, respectively, is used as an analogy for a vision system. This paper provides an overview of recognition activities and states in the framework of an inductive model. Also, it presents a natural vision system and a counterpart expert system model that incorporates the described operations.

  15. A Knowledge-Based Expert System Which Assists Non-Profit Organizations in Fund-Raising Software Selections.

    Science.gov (United States)

    Hoppe, Patricia Anne

    Outcomes of a project designed to develop the knowledge base necessary for creating an expert system that would help nonprofit organizations select fund-raising software are presented in this paper. When the system is completed, its components will ask the user for information that will assist in determining the organization's administrative needs…

  16. A Database Selection Expert System Based on Reference Librarian's Database Selection Strategy: A Usability and Empirical Evaluation.

    Science.gov (United States)

    Ma, Wei

    2002-01-01

    Describes the development of a prototype Web-based database selection expert system at the University of Illinois at Urbana-Champaign that is based on reference librarians' database selection strategy which allows users to simultaneously search all available databases to identify those most relevant to their search using free-text keywords or…

  17. Towards the Semantic Web Expert System

    OpenAIRE

    Verhodubs, O; Grundspeņķis, J

    2011-01-01

    The paper presents a conception of the Semantic Web Expert System which is the logical continuation of the expert system development. The Semantic Web Expert System emerges as the result of evolution of expert system concept and it means expert system moving toward the Web and using new Semantic Web technologies. The proposed conception of the Semantic Web Expert System promises to have new useful features that distinguish it from other types of expert systems

  18. Development of a vibration pattern and maintenance data based expert system for water-cooled and -moderated nuclear power plants

    International Nuclear Information System (INIS)

    This report describes the activities of the research project entitled 'Development of a Vibration Pattern and Maintenance-data Based Expert System...', in the period from January 1994 to November 1994. In keeping with the detailed work plan for the past 12 months we have: developed of the prototype expert system of MCPs including knowledge base development, maintenance event data base development, tuning of the users interface; tested and tuned the system, with respect to the users' requirements; enlarged the preliminary knowledge base related to the behaviour of MCPs of WWER type NPPs; developed a prototype expert system using LEVEL5 object, together with the MMI and KB mentioned above. The ARGUS-E expert system is design to support the maintenance personnel, and wants to be a tool on the palette of the state dependent maintenance or RCM. To enlarge the knowledge base we used the measuring and diagnostic experience gathered with ARGUS diagnostic systems, at Paks (Hungary) NPP, and by the maintenance personnel of the power plant. (author). 7 refs, 2 figs

  19. GENERALIZED REGRESSION NEURAL NETWORK BASED EXPERT SYSTEM FOR HEPATITIS B DIAGNOSIS

    Directory of Open Access Journals (Sweden)

    C. Mahesh

    2014-01-01

    Full Text Available Hepatitis B is a potentially life-threatening liver infection caused by the hepatitis B virus. The virus interferes with the function of the liver while replicating in hepatocytes. It is a major global health problem and the most serious type of viral hepatitis. Chronic liver disease is caused by viral hepatitis and putting people at high risk of death from cirrhosis of the liver and liver cancer. Medical information available is extensive and which is utilized by the clinical specialists. The ranging of information is from details of clinical symptoms to various types of biochemical data. Information provided by each data is evaluated and assigned to a particular pathology during the diagnostic process. Artificial intelligence methods especially computer aided diagnosis and artificial neural networks can be employed to streamline the diagnostic process. These adaptive learning algorithms can handle diverse types of medical data and integrate them into categorized outputs. Artificial neural networks are finding many uses in the medical diagnosis application. In this study we have proposed a Generalized Regression Neural Network (GRNN based expert system for the diagnosis of the hepatitis B virus disease. The system classifies each patient into infected and non-infected. If infected then how severe it is in terms of intensity rate.

  20. Development and testing of a prototype NPP information system based on the G2 expert system shell

    International Nuclear Information System (INIS)

    The components and functioning of the GPCS information system is described as applied for process monitoring and alarm generation in WWER-440 type nuclear power plant. The prototype system was developed by using the G2 real-time expert system shell, measurements were simulated by a WWER-440 compact simulator and by the archive replay of a core monitoring system. The benefits of the object oriented technology description, expert system approach and information integration are emphasized. (author) 21 refs.; 17 figs

  1. Expert Systems for auditing management information systems

    Directory of Open Access Journals (Sweden)

    Gheroghe Popescu

    2007-05-01

    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.

  2. Agricultural Expert Systems as an Information Resource

    OpenAIRE

    Amany Ramadan Taha

    2007-01-01

    The research discusses the use and usefulness of Agricultural Expert Systems as information source, Those Expert Systems as very important supporting tools for helping people in the decision making process, also this research discusses the role of Central laboratory of Agricultural Expert Systems (CLAES) to support and development the Agricultural Expert System as the main supportive unit to Agricultural Expert Systems in Egypt

  3. Expert system for plant monitoring

    International Nuclear Information System (INIS)

    The expert system developed to improve the monitoring of purification cycles in nuclear fuel reprocessing plants is biefly described and its adaptation to optimization in the chemical industry is considered

  4. Countrywide Loan-Underwriting Expert System

    OpenAIRE

    Talebzadeh, Houman; Mandutianu, Sanda; Winner, Christian F.

    1995-01-01

    Countrywide loan-underwriting expert system (clues) is an advanced, automated mortgage-underwriting rule-based expert system. The system was developed to increase the production capacity and productivity of Countrywide branches, improve the consistency of underwriting, and reduce the cost of originating a loan. The system receives selected information from the loan application, credit report, and appraisal. It then decides whether the loan should be approved or whether it requires further rev...

  5. Knowledge Based Expert System for Minimising Stormwater Erosion and Sedimentation in Malaysian Construction Sites

    OpenAIRE

    Ibrahiem Abdul Razak Al-Hadu; Lariyah Mohd Sidek; Mohamed Nor Mohamed Desa; Noor Ezlin Ahmad Desa

    2011-01-01

    Construction activities generate enormous amount of erosion and sediments that are the result of soil disturbance during construction activities, thus, will pollute the adjacent water bodies and make it unfeasible for different uses. This paper aimed to develop and create the main features of an expert system prototype (ESCES) for minimising erosion and sedimentation due to stormwater generated from the construction activities by recommending a feasible BMPs. Multi criteria Analysis (MCA) tec...

  6. Intelligent Control of Welding Gun Pose for Pipeline Welding Robot Based on Improved Radial Basis Function Network and Expert System

    OpenAIRE

    Jingwen Tian; Meijuan Gao; Yonggang He

    2013-01-01

    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...

  7. An overview of expert systems. [artificial intelligence

    Science.gov (United States)

    Gevarter, W. B.

    1982-01-01

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

  8. Graph transformation expert system (GTES)

    Science.gov (United States)

    Li, Guiquing; Ge, Qihong; Zhong, Luo; Xie, Weiping

    1996-03-01

    The design of many industrial and engineering systems can often be accomplished using flow graphs of various types. Examples include manufacturing processes and data processing applications, Graph Transformation Expert System, is an expert system which has been developed by WUT for applying techniques of artificial intelligence to the architectural design of data and signal processing systems. Software and hardware architectures may be defined for such systems using data flow graphs, in which nodes represent data processing steps and directed areas represent the `flow' of data between the processing steps. Starting with a user- defined generic processing graphic, this expert will transform the graph by applying transformation rules in order to specialize the processing graph to satisfy specified design goals and/or hardware constraints. Although the particular application for which this expert is designed is that of data and signal processing systems, it can provide an expert system framework for other problems specified graphically; for example, manufacturing systems, information systems, and product distribution systems.

  9. Knowledge Based Expert System for Minimising Stormwater Erosion and Sedimentation in Malaysian Construction Sites

    Directory of Open Access Journals (Sweden)

    Ibrahiem Abdul Razak Al-Hadu

    2011-01-01

    Full Text Available Construction activities generate enormous amount of erosion and sediments that are the result of soil disturbance during construction activities, thus, will pollute the adjacent water bodies and make it unfeasible for different uses. This paper aimed to develop and create the main features of an expert system prototype (ESCES for minimising erosion and sedimentation due to stormwater generated from the construction activities by recommending a feasible BMPs. Multi criteria Analysis (MCA technique has been integrated so as to select the best control measure among many stormwater control alternatives. A questionnaire has been distributed to the relevant experts so as to rank the stormwater control measures to be used in the MCA technique. Using Visual Basic 6, Graphical User Interfaces (GUIs were developed. The knowledge and experience were acquired from various textural sources (i.e. guidelines, manuals, literature, and humanexpert. Results from this study showed that the Best Management Practices (BMPs recommended have good suited the site characteristics as the relevant experts have showed their convenience to the developed prototype since they asked to fill in simple questionnaire after developing the system and presented to them. The conclusion drawn from this study indicates that  the ESCES can be considered as “Green Technology Tool” since it helps in protecting  the environment and preserve good quality of water adjacent to the construction sites in Malaysia.

  10. Database, expert systems, information retrieval

    International Nuclear Information System (INIS)

    The great debate concerning the Italian high-school reform has induced a ferment of activity among the most interested and sensible of people. This was clearly demonstrated by the course 'Innovazione metodologico-didattica e tecnologie informatiche' organized for the staff of the 'lstituto Professionale L. Einaudi' of Lamezia Terme. The course was an interesting opportunity for discussions and interaction between the world of School and computer technology used in the Research field. This three day course included theoretical and practical lessons, showing computer facilities that could be useful for teaching. During the practical lessons some computer tools were presented from the very simple Electronic Sheets to the more complicated information Retrieval on CD-ROM interactive realizations. The main topics will be discussed later. They are: Modelling, Data Base, Integrated Information Systems, Expert Systems, Information Retrieval. (author)

  11. Decision Analysis and Expert Systems

    OpenAIRE

    Henrion, Max; Breese, John S.; Horvitz, Eric J.

    1991-01-01

    Decision analysis and expert systems are technologies intended to support human reasoning and decision making by formalizing expert knowledge so that it is amenable to mechanized reasoning methods. Despite some common goals, these two paradigms have evolved divergently, with fundamental differences in principle and practice. Recent recognition of the deficiencies of traditional AI techniques for treating uncertainty, coupled with the development of belief nets and influence diagrams, is stimu...

  12. Expert system application education project

    Science.gov (United States)

    Gonzelez, Avelino J.; Ragusa, James M.

    1988-01-01

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

  13. Event-driven Dynamic and Intelligent Scheduling for Agile Manufacturing Based on Immune Mechanism and Expert System

    Institute of Scientific and Technical Information of China (English)

    李蓓智; 杨建国; 周亚勤; 邵世煌

    2003-01-01

    Based on the biological immune concept, immune response mechanism and expert system, a dynamic and intelligent scheduling model toward the disturbance of the production such as machine fault,task insert and cancel etc. Is proposed. The antibody generation method based on the sequence constraints and the coding rule of antibody for the machining procedure is also presented. Using the heuristic antibody generation method based on the physiology immune mechanism, the validity of the scheduling optimization is improved, and based on the immune and expert system under the event-driven constraints, not only Job-shop scheduling problem with multi-objective can be solved, but also the disturbance of the production be handled rapidly. A case of the job-shop scheduling is studied and dynamic optimal solutions with multi-objective function for agile manufacturing are obtained in this paper. And the event-driven dynamic rescheduling result is compared with right-shift rescheduling and total rescheduling.

  14. APPLICATION OF EXPERT SYSTEM BASED ON NEURAL NETWORK IN MINING THE GENTLE INCLINED THICK SEAM

    Institute of Scientific and Technical Information of China (English)

    朱川曲; 施式亮

    1997-01-01

    This paper presents a new method for the correct selection of mining methods and prediction of main technological and economic indexes of the face in the gentle inclined thick seams with the application of the artificial neural network theory and the expert system. The theory analysis and calculating results indicate that the method is reliable, practical and precise. This method has strongly capabilities of self-study and non-linear dynamic data process. It is expected to be widely applied in the policy decision and prediction of mining technology in coal mine.

  15. Design of a Fuzzy Expert Based System for Diagnosis of Cattle Diseases

    Directory of Open Access Journals (Sweden)

    Oluwatoyin Catherine Agbonifo

    2012-11-01

    Full Text Available Artificial intelligence (AI is the core of computing research that makes machine to mimic the intelligence of a man. Intelligent means less of user interaction and automated adaptation to changing environment. When compared to other primitive techniques used in the past, AI has been highly efficient in knowledge acquisition in diverse areas of application. In the light of this, the paper focuses on intelligent technique of determining the possible diseases that affect the life of cattle. Hence, fuzzy expert technique is proposed for the diagnosis of the Antrax, Babesiosis, Blackleg and Epizootic Hemorrrhapic diseases. The result generated by the system was sufficient to demonstrate its performance.

  16. Jess, the Java expert system shell

    Energy Technology Data Exchange (ETDEWEB)

    Friedman-Hill, E.J.

    1997-11-01

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

  17. Language theory and expert systems

    Directory of Open Access Journals (Sweden)

    Attilio Agodi

    1988-11-01

    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.

  18. Nickel cadmium battery expert system

    Science.gov (United States)

    1986-01-01

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

  19. A rule-based expert system for automatic control rod pattern generation for boiling water reactors

    International Nuclear Information System (INIS)

    This paper reports on an expert system for generating control rod patterns that has been developed. The knowledge is transformed into IF-THEN rules. The inference engine uses the Rete pattern matching algorithm to match facts, and rule premises and conflict resolution strategies to make the system function intelligently. A forward-chaining mechanism is adopted in the inference engine. The system is implemented in the Common Lisp programming language. The three-dimensional core simulation model performs the core status and burnup calculations. The system is successfully demonstrated by generating control rod programming for the 2894-MW (thermal) Kuosheng nuclear power plant in Taiwan. The computing time is tremendously reduced compared to programs using mathematical methods

  20. NEPHRUS: model of intelligent multilayers expert system for evaluation of the renal system based on scintigraphic images analysis

    International Nuclear Information System (INIS)

    This work develops a prototype for the system model based on Artificial Intelligence devices able to perform functions related to scintigraphic image analysis of the urinary system. Criteria used by medical experts for analysis images obtained with 99m Tc+DTPA and/or 99m Tc+DMSA were modeled and a multi resolution diagnosis technique was implemented. Special attention was given to the programs user interface design. Human Factor Engineering techniques were considered so as to ally friendliness and robustness. Results obtained using Artificial Neural Networks for the qualitative image analysis and the knowledge model constructed shows the feasibility of Artificial Intelligence implementation that use 'inherent' abilities of each technique in the resolution of diagnosis image analysis problems. (author). 12 refs., 2 figs., 2 tabs

  1. A rule-based expert system for control rod pattern of boiling water reactors by hovering around haling exposure shape

    International Nuclear Information System (INIS)

    Feasible strategies for automatic BWR control rod pattern generation have been implemented in a rule-based expert system. These strategies are majorly based on a concept for which exposure distributions are hovering around the Haling exposure distribution through a cycle while radial and axial power distributions are dominantly controlled by some abstracted factors indicating the desired distributions. The system can either automatically generate expert-level control rod patterns or search for criteria-satisfied patterns originated from user's input. It has successfully been demonstrated by generating control rod patterns for the the 1775 MWth Chinshan plant in Unit I Cycle 13 alternate loading pattern and Unit 2 Cycle 8 but with longer cycle length. All rod patterns for two cycles result in all-rod-out at EOC and no violation against the four criteria. The demonstrations show that the system is considerably good in choosing initial trial rod patterns and adjusting rod patterns to satisfy the design criteria. (author)

  2. An expert system for turbogenerator diagnostics

    International Nuclear Information System (INIS)

    In 1990, an expert system for turbo-generator diagnostics (EST-D) was installed at the 3rd and 4th units of the Paks NPP (Hungary). The expert system is strongly integrated to the ARGUS II vibration monitoring and diagnostics system. The system works on IBM PC AT. The VEIKI's and the NPP's human experts were interviewed to fill up the knowledgebase. The system is able to identify 13 different faults of the parts of a turbogenerator. The knowledgebase consists of ca 200 rules. The rules were built in and the system was verified and validated using a model of the turbines and using the experiences gathered with ARGUS II during the last 3 years. The maintenance personnel is authorized to modify and/or extend the knowledgebase. The input data for evaluation come from measured vibration patterns produced by the ARGUS II system, database of events, and maintenance data input by the maintenance personnel. The expert system is based on the modified GENESYS 2.1 shell (developed by SZAMALK, Hungary). Some limitations from PC application were eliminated, and a new, independent explanation module and man-machine interface were developed. Using this man-machine interface, one of the basic goals of the expert system developments was achieved: the human experts contribution is not necessary for diagnoses. The operator of the diagnostics system is able to produce the reports of diagnoses. Of course the interface allows the human experts to see the diagnoses through. It should be mentioned, at the beginning of 1991, we installed a similar expert system at the 1st 1000 MW WWER type unit of the Kalinin NPP (Soviet Union). In this paper, the operation of the EST-D, the man-machine interface and the operational experiences of the first 4 months work are explained. 2 refs., 14 figs

  3. Expert system development (ESD) shell

    International Nuclear Information System (INIS)

    An Expert System Development (ESD) Shell design implementation is desribed in detail. The shell provides high-level generic facilities for Knowledge Representation (KR) and inferencing and tools for developing user interfaces. Powerful set of tools in the shell relieves much of the programming burden in the ES development. The shell is written in PROLOG under IBM PC/AT. KR facilities are based on two very powerful formalisms namely, frames and rules. Inference Engine (IE) draws most of its power from unification and backward reasoning strategy in PROLOG. This basic mechanism is enhanced further by incorporating both forward and backward chaining of rules and frame-based inferencing. Overall programming style integrates multiple paradigms including logic, object oriented, access-oriented and imperative programming. This permits ES designer a lot of flexibility in organizing inference control. Creation and maintainance of knowledge base is a major activity. The shell, therefore, provides number of facilities to simplify these tasks. Shell design also takes note of the fact that final success of any system depends on end-user satisfaction and hence provides features to build use-friendly interfaces. The shell also provides a set of interfacing predicates so that it can be embedded within any PROLOG program to incorporate functionalilty of the shell in the user program. (author). 10 refs., 8 figs

  4. 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

    2013-02-01

    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.

  5. Oil palm fresh fruit bunch ripeness classification based on rule- based expert system of ROI image processing technique results

    International Nuclear Information System (INIS)

    There is a processing need for a fast, easy and accurate classification system for oil palm fruit ripeness. Such a system will be invaluable to farmers and plantation managers who need to sell their oil palm fresh fruit bunch (FFB) for the mill as this will avoid disputes. In this paper,a new approach was developed under the name of expert rules-based systembased on the image processing techniques results of thethree different oil palm FFB region of interests (ROIs), namely; ROI1 (300x300 pixels), ROI2 (50x50 pixels) and ROI3 (100x100 pixels). The results show that the best rule-based ROIs for statistical colour feature extraction with k-nearest neighbors (KNN) classifier at 94% were chosen as well as the ROIs that indicated results higher than the rule-based outcome, such as the ROIs of statistical colour feature extraction with artificial neural network (ANN) classifier at 94%, were selected for further FFB ripeness inspection system

  6. Rule-based Expert Systems for Selecting Information Systems Development Methodologies

    OpenAIRE

    Abdel Nasser H. Zaied; Samah Ibrahim Abdel Aal; Mohamed Monir Hassan

    2013-01-01

    Information Systems (IS) are increasingly becoming regarded as crucial to an organization's success. Information Systems Development Methodologies (ISDMs) are used by organizations to structure the information system development process. ISDMs are essential for structuring project participants’ thinking and actions; therefore ISDMs play an important role to achieve successful projects. There are different ISDMs and no methodology can claim that it can be applied to any organization. The probl...

  7. Natural representation of the deduction; applying to the temporal reasoning for expert systems based on production rules

    International Nuclear Information System (INIS)

    The expert systems development within a real time context, requires both to master the necessary reasoning about the time as well as to master the necessary response time for reasoning. Although rigorous temporal logic formalisms exist, strategies for temporal reasoning are either incomplete or else imply unacceptable response times. The first part presents the logic formalism upon which is based the production system. This formalism contains a three-valued logic system with truth-valued matrix, and a deductive system with a formal system. It does a rigorous work for this no standard logic, where the notions of consistency and completeness can be studied. Its development supports itself on the will to formalise the reasoning used at the elaboration time of the strategies to make them more explicit as the natural deduction method. The second part proposes an extension for the source logic formalism to take explicitly the time into account. The approach proposed through 'TANIS', the prototype of such an expert system shell, using a natural reasoning application is proposed. It allows, at the generation time, the implementation within the expert system, of an adapted deduction strategy to the symbolic temporal reasoning which is complete and ease the determination of the response time. (author)

  8. Practical aspects of material data bases and expert systems for high-temperature corrosion and coatings in gas turbines

    OpenAIRE

    Bernstein, Henry

    1993-01-01

    High-temperature environmental attack often limits the useful service life of the hot section components in gas turbines, for aircraft, marine and industrial applications. High-temperature coatings are mandatory to obtain acceptable service life, but the life of these coatings often determines the refurbishment intervals. This paper addresses the use of computerized data bases and expert systems for high-temperature corrosion and high-temperature coatings, which have not always been useful fo...

  9. An expert system in medical diagnosis

    International Nuclear Information System (INIS)

    Health problem is still a crucial one in some countries. It is so important that it becomes a major handicap in economic and social development. In order to solve this problem, we have conceived an expert system that we called MITSABO, which means TO HEAL, to help the physicians to diagnose tropical diseases. It is clear that by extending the data base and the knowledge base, we can extend the application of the software to more general areas. In our expert system, we used the concept of 'self organization' of neural network based on the determination of the eigenvalues and the eigenvectors associated to the correlation matrix XXt. The projection of the data on the two first eigenvectors gives a classification of the diseases which is used to get a first approach in the diagnosis of the patient. This diagnosis is improved by using an expert system which is built from the knowledge base.

  10. Nephrus: expert system model in intelligent multilayers for evaluation of urinary system based on scintigraphic image analysis

    International Nuclear Information System (INIS)

    Renal function can be measured noninvasively with radionuclides in a extremely safe way compared to other diagnosis techniques. Nevertheless, due to the fact that radioactive materials are used in this procedure, it is necessary to maximize its benefits, therefore all efforts are justifiable in the development of data analysis support tools for this diagnosis modality. The objective of this work is to develop a prototype for a system model based on Artificial Intelligence devices able to perform functions related to cintilographic image analysis of the urinary system. Rules used by medical experts in the analysis of images obtained with 99m Tc+DTPA and /or 99m Tc+DMSA were modeled and a Neural Network diagnosis technique was implemented. Special attention was given for designing programs user-interface. Human Factor Engineering techniques were taking in account allowing friendliness and robustness. The image segmentation adopts a model based on Ideal ROIs, which represent the normal anatomic concept for urinary system organs. Results obtained using Artificial Neural Networks for qualitative image analysis and knowledge model constructed show the feasibility of Artificial Neural Networks for qualitative image analysis and knowledge model constructed show feasibility of Artificial Intelligence implementation that uses inherent abilities of each technique in the medical diagnosis image analysis. (author)

  11. XML Solving Problem of Expert System

    Directory of Open Access Journals (Sweden)

    Yasser A. Nada

    2011-01-01

    Full Text Available The Extensible Markup Language (XML is a subset of SGML that is completely described in this paper. Its goal is to enable generic SGML to be served, received, and processed on the Web in the way that is now possible with HTML. XML has been designed for ease of implementation and for interoperability with both SGML and HTML. An expert system is a computer program designed to simulate the problem-solving behavior of a human who is an expert in a narrow domain or discipline. Expert Systems (ES, also called Knowledge Based System (KBS, are computer application programs that take the knowledge of one or more human experts in a field and computerize it so that it is readily available for use. The main objective of this paper was to investigate the usage of different refinement methodologies for different layers of knowledge base modeling and investigate the possibility of building an expert system development and refinement tool. In our work we used XML as a knowledge representation to represent the knowledge base. Therefore we used the mathematical model to refinement of a knowledge base.

  12. A distributed agent architecture for real-time knowledge-based systems: Real-time expert systems project, phase 1

    Science.gov (United States)

    Lee, S. Daniel

    1990-01-01

    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.

  13. Advisory expert system for test rig operator

    International Nuclear Information System (INIS)

    The advisory expert system MAESTRO (Modular Advisory Expert System for Test Rig Operator) has been designed to guide the operator of large experimental installation during start-up, steady state and shut down. The installation is located in the research reactor MARIA in the Institute of Atomic Energy in Swierk, Poland. The system acquires and analyses on line signals from installation and performs two tasks in real time: leading the operator and monitoring of the installation (including signal validation). Systems tasks, architecture and knowledge representation concepts are described. The system is based on expert systems techniques what makes in phases of continuous change of process parameters and it has been achieved by special knowledge representation allowing its dynamical modification. (author). 147 refs, 42 figs, 5 tab

  14. Use of expert systems in nuclear safety

    International Nuclear Information System (INIS)

    One dominant aspect of improvement in safe nuclear power plant operation is the very high speed in the development and introduction of computer technologies. This development commenced recently when advanced control technology was incorporated into the nuclear industry. This led to an increasing implementation of information displays, annunciator windows and other devices inside the control room, eventually overburdening the control room operator with detailed information. Expert systems are a further step in this direction being designed to apply large knowledge bases to solve practical problems. These ''intelligent'' systems have to incorporate enough knowledge to reach expert levels of importance and represent a very advanced man-machine interface. The aims of the Technical Committee were addressed by the three Working Groups and summarized in Sections 2, 3 and 4 of this report. Section 2 summarizes the results and discussions on the current capabilities of expert systems and identifies features for the future development and use of Expert Systems in Nuclear Power Plants. Section 3 provides an overview of the discussions and investigations into the current status of Expert Systems in NPPs. This section develops a method for assessing the overall benefit of different applications and recommends a broad strategy for priority developments of Expert Systems in NPPs. Section 4 assesses the overall use of PSA type studies in Expert Systems in NPPs and identifies specific features to be adopted in the design of these systems in future applications. The conclusions of the three Working Groups are presented in Section 5. The 15 papers presented at the meeting formed the Annex of this document. A separate abstract was prepared for each of these papers. Refs, figs, tabs and pictures

  15. Distributed expert systems for nuclear reactor control

    International Nuclear Information System (INIS)

    A network of distributed expert systems is the heart of a prototype supervisory control architecture developed at the Oak Ridge National Laboratory (ORNL) for an advanced multimodular reactor. Eight expert systems encode knowledge on signal acquisition, diagnostics, safeguards, and control strategies in a hybrid rule-based, multiprocessing and object-oriented distributed computing environment. An interactive simulation of a power block consisting of three reactors and one turbine provides a realistic, testbed for performance analysis of the integrated control system in real-time. Implementation details and representative reactor transients are discussed

  16. Expert System-A Review Article .

    OpenAIRE

    Mrudula Pandit

    2013-01-01

    One of the largest area of applications of artificial intelligence is in expert systems, or knowledge based systems as they are often known. This type of system seeks to exploit the specialised skills or information held by group of people on specific areas. It can be thought of as a computerised consulting service. It can also be called an information guidance system. Such systems are used for prospecting medical diagnosis or as educational aids. They are also used in engineering and manufac...

  17. Uncertainty reasoning in expert systems

    Science.gov (United States)

    Kreinovich, Vladik

    1993-01-01

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

  18. An expert system for diesel generator diagnostics

    International Nuclear Information System (INIS)

    The idea of developing artificial intelligence (AI) systems to capture the knowledge of human experts is receiving much attention these days. The idea is even more attractive when important expertise resides within a single individual, especially one who is nearing retirement and who has not otherwise recorded or passed along his important knowledge and thought processes. The diesel generators at Pilgrim Nuclear Power Station have performed exceptionally well, primarily due to the care and attention of one man. Therefore, the authors are constructing an expert system for the diagnosis of diesel generator problems at Pilgrim. This paper includes a description of the expert system design and operation, examples from the knowledge base, and sample diagnoses, so the reader can observe the process in action

  19. Takagi Sugeno fuzzy expert model based soft fault diagnosis for two tank interacting system

    Directory of Open Access Journals (Sweden)

    Manikandan Pandiyan

    2014-09-01

    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.

  20. Web-based Expert Decision Support System for Tourism Destination Management in Nigeria

    OpenAIRE

    Yekini Nureni Asafe; Adetoba Bolaji; Aigbokhan Edwin Enaholo; Olufemi Olubukola

    2013-01-01

    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...

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

    Institute of Scientific and Technical Information of China (English)

    李涛

    2001-01-01

    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.

  2. Fuzzy Expert System to Characterize Students

    Science.gov (United States)

    Van Hecke, T.

    2011-01-01

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

  3. The Elements Of Adaptive Neural Expert Systems

    Science.gov (United States)

    Healy, Michael J.

    1989-03-01

    The generalization properties of a class of neural architectures can be modelled mathematically. The model is a parallel predicate calculus based on pattern recognition and self-organization of long-term memory in a neural network. It may provide the basis for adaptive expert systems capable of inductive learning and rapid processing in a highly complex and changing environment.

  4. Expert system characteristics and potential applications in safeguards

    International Nuclear Information System (INIS)

    The general growth of expert, knowledge-based (KB) or rule based systems will significantly increase in the next three to five years. Improvements in computer hardware (speed, reduced size, power) and software (rule based, data based, user interfaces) in recent years are providing the foundations for the growth of expert systems. A byproduct of this growth will undoubtedly be the application of expert systems to various safeguards problems. Characteristics of these expert systems will involve 1) multiple rules governing an outcome, 2) confidence factors on individual variables and rule sets, 3) priority, cost, and risk based rule sets, and 4) the reasoning behind the advice or decision given by the expert system. This paper presents characteristics, structures, and examples of simple rule based systems. Potential application areas for these expert systems may include training, operations, management, designs, evaluations, and specific hardware operation

  5. Application of Cluster Analysis In Expert System - A Brief Survey

    Directory of Open Access Journals (Sweden)

    Mamta Tiwari

    2011-09-01

    Full Text Available This is era of knowledge and information. One very major task that has been evolved now a day is to mine a knowledge base. On the other hand expert systems are used extensively in many domains. There are many applications of expert systems for predicting and finding a feasible solution for any particular problem. Various tools also have been evolves for upgrading and modifying the existing expert systems and making them more useful in their intended purposes. The current paper explains the expert systems that use cluster analysis as a tool and briefly discusses few such expert systems.

  6. Implementing Evidential Reasoning in Expert Systems

    OpenAIRE

    Yen, John

    2013-01-01

    The Dempster-Shafer theory has been extended recently for its application to expert systems. However, implementing the extended D-S reasoning model in rule-based systems greatly complicates the task of generating informative explanations. By implementing GERTIS, a prototype system for diagnosing rheumatoid arthritis, we show that two kinds of knowledge are essential for explanation generation: (l) taxonomic class relationships between hypotheses and (2) pointers to the rules that significantl...

  7. An expert system for uranium exploration

    International Nuclear Information System (INIS)

    Artificial intelligence is an emerging technology in the field of computer application. Expert systems have been developed to imitate human intelligence and reasoning process. Expert systems have much scope of application in the decision making process in mineral exploration as such decisions are highly subjective and expert opinions are very helpful. This paper presents a small expert system to analyze the reasoning process in exploring for uranium deposits in sandstone

  8. REXS : A financial risk diagnostic expert system

    Directory of Open Access Journals (Sweden)

    W. Richter

    2012-01-01

    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

  9. 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)

    2006-07-01

    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.

  10. Expert system for transuranic waste assay

    International Nuclear Information System (INIS)

    Transuranic wastes are generated at the Savannah River Site (SRS) as a result of routine production of nuclear materials. These wastes contain Pu-238 and Pu-239 and are placed into lined 55-gallon waste drums. The drums are placed on monitored storage pads pending shipment to the Waste Isolation Pilot Plant in New Mexico. A passive-active neutron (PAN) assay system is used to determine the mass of the radioactive material within the waste drums. Assay results are used to classify the wastes as either low-level or transuranic (TRU). During assays, the PAN assay system communicates with an IBM-AT computer. A Fortran computer program, called NEUT, controls and performs all data analyses. Unassisted, the NEUT program cannot adequately interpret assay results. To eliminate this limitation, an expert system shell was used to write a new algorithm, called the Transuranic Expert System (TRUX), to drive the NEUT program and add decision making capabilities for analysis of the assay results. The TRUX knowledge base was formulated by consulting with human experts in the field of neutron assay, by direct experimentation on the PAN assay system, and by observing operations on a daily basis. TRUX, with its improved ability to interpret assay results, has eliminated the need for close supervision by a human expert, allowing skilled technicians to operate the PAN assay system. 4 refs., 1 fig., 4 tabs

  11. Developing of an expert system for nonferrous alloy design

    Institute of Scientific and Technical Information of China (English)

    李义兵; 何红波; 周继承; 李斌

    2004-01-01

    Expert systems have been used widely in the predictions and design of alloy systems. But the expert systems are based on the macroscopic models that have no physical meanings. Microscopic molecular dynamics is also a standard computational technique used in materials science. An approach is presented to the design system of nonferrous alloy that integrates the molecular dynamical simulation together with an expert system. The knowledge base in the expert system is able to predict nonferrous alloy properties by using machine learning technology. The architecture of the system is presented.

  12. PRACTICAL ASPECTS OF QUALITY DATA PROCESSING AND A RULE –BASED EXPERT SYSTEM FOR QUALITY OF LIFE EVALUATION

    Directory of Open Access Journals (Sweden)

    Irena L. ATANASOVA

    2014-12-01

    Full Text Available One of the most important challenges the European Union was facing at the beginning of the 21st century was to balance economic development with the improvement of quality of its citizens life. A new approach for assessing the quality of life using the ten-degree global scale is revealed in this article. The aptness of this approach to exploring the social area and determining the quality of life of people in different countries and regions are also discussed. There are being examined some practical aspects of setting up an expert system for social area.The article describes the implementation of such a system for evaluating the quality of life – QLIFEX. The expert system is an innovative research project based entirely on qualitative methods, which aims at helping in understanding of how in an era of great changes residents from different countries live and work in diverse economic organizations, and how they would rate their work and life.

  13. ULiS: An Expert System on Linguistics to Support Multilingual Management of Interlingual Knowledge bases

    OpenAIRE

    Lefrançois, Maxime; Gandon, Fabien

    2011-01-01

    We are interested in bridging the world of natural language and the world of the semantic web in particular to support multilingual access to the web of data, and multilingual management of interlingual knowledge bases. In this paper we introduce the ULiS project, that aims at designing a pivot-based NLP technique called Universal Linguistic System, 100% using the semantic web formalisms, and being compliant with the Meaning-Text theory. Through the ULiS, a user could interact with an Interli...

  14. Demonstration of expert systems in automated monitoring

    International Nuclear Information System (INIS)

    The Reactor Systems Section of Oak Ridge National Laboratory's Instrumentation and Controls Division has been developing expertise in the application of artificial intelligence (AI) tools and techniques to control complex systems. One of the applications developed demonstrates the capabilities of a rule-based expert system to monitor a nuclear reactor. Based on the experience acquired with the demonstration described in this paper, a 2-yr program was initiated during fiscal year 1985 for the development and implementation of an intelligent monitoring adviser to the operators of the HFIR facility. The intelligent monitoring system will act as an alert and cooperative expert to relieve the operators of routine tasks, request their attention when abnormalities are detected, and provide them with interactive diagnostic aid and project action/effects information as needed or on demand

  15. Expert system approach for nuclear piping integrity

    International Nuclear Information System (INIS)

    This paper develops expert system called NPiES (nuclear piping integrity Expert System) for nuclear piping integrity. The structure and development strategies of NPiES system are described. NPiES system is consisted of 5 parts; database, knowledge base, inference engine, integrity evaluation and utilities. Nuclear piping material properties are stored in the database and various rules recommended by Code and Standard are stored in the knowledge base. Unavailable material properties are inferred in the inference engine using NEXPERT object through inferring the given material properties. In the integrity evaluation part, various evaluation methods such as LEFM, EPFM, limit load method and fatigue analysis are provided. (author). 5 refs., 4 figs., 2 tabs

  16. [Expert systems and antibiotic sensitivity test].

    Science.gov (United States)

    Flandrois, J; Carret, G

    1991-01-01

    Artificial intelligence is a part of computer science that deals with programs mimicking intelligence of man. Artificial intelligence is now used to check the quality of the determination of antibiotics susceptibility of bacteria. This application is useful because antibiotic susceptibility is subject to biological and technical variation that have to be detected. Three types of reasoning are used either by the biologist or by expert systems: low level quality checking dealing with individual results, microbiological interpretation of the whole set of results and medical interpretation of the results. The use of artificial intelligence in these fields is sustained by the structured nature of the knowledge. Two type of expert systems are already of routine use, either based on production rules (ATB plus EXPERT, bioMerieux, La Balme-les-Grottes, France and SIR, 12A, Montpellier, France), or on object-oriented representation of the knowledge (EXPRIM from our laboratory). The main problem is, as usually in artificial intelligence applications, to transfer human expertise into an adapted knowledge base. The advantage of experts systems over man are their reproducibility of answer and their availability. PMID:2064087

  17. 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;

    2013-01-01

    biosimilarity concept complicate the development phase of safe and cost-effective drug products. To streamline the development phase and to make high-throughput formulation screening possible, efficient solutions for analyzing critical quality attributes such as cake quality with minimal material consumption...... 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...

  18. Operational expert system applications in Canada

    CERN Document Server

    Suen, Ching Y

    1992-01-01

    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

  19. FBOLES - A frequency-based on-line expert system for fault diagnosis in nuclear power plants

    International Nuclear Information System (INIS)

    A prototype version of Frequency-based On-line Expert System (FBOLES) for Fault Diagnoses in Nuclear Power Plants (NPP) has been developed under the framework of this CRP. This report will summarize the work done during the contract years. The basic concept of FBOLES approach for the on-line fault diagnosis of NPP is introduced, although it has been previously presented in our companion papers. The software developed, namely FBOLES, is an expert shell which can be used for different systems and/or different operating modes. The related work of software development has been documented in this report, which includes its features, functions, software structure, knowledge base, and man-machine interface. The real-time on-line experiment results show many positive features of FBOLES. The main steam and feedwater condensate system (MSFCS, namely the secondary loop) of a NPP (950 MW, three loops) simulated by the Tsinghua simulator has been selected as a target system. The knowledge bases for MSFCS have been constructed. Total 62 signals from the simulator have been selected as the on-line evidences for the diagnosis. 33 fault experiments were performed in which 21 were detected accurately (unique candidate) by FBOLES immediately after the first abnormal signal was received and the other 12 were detected accurately within half to three minutes as the development of abnormality. These experiments include not only the failures of pumps, valves, pipes, etc. of MSFC itself, but also the failures outside MSFCS. Three of them involve non-initiating events. (author). 3 refs, 6 figs, 2 tabs

  20. Obtaining useful information from expert based sources.

    OpenAIRE

    Slawson, D. C.; Shaughnessy, A. F.

    1997-01-01

    Clinicians rely heavily on expert based systems-consultation with colleagues, journal reviews and textbooks, and continuing education activities-to obtain new information. The usefulness of sources such as these depends on the relevance and validity of the information and the work it takes to obtain it. Useful information can be distinguished from the useless by asking three questions: Does the information focus on an outcome that my patients care about? Is the issue common to my practice, an...

  1. Application of the Agent in Agricultural Expert System Inspection Software

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    In reference to the status quo of research and the application of the agricultural expert system, this paper analyzes problems existing in the current development, and puts forward the idea of research and development for agriculturespecific software. The agent application is discussed, and an agent-based Agricultural Expert System Inspection Tool is constructed. In addition, this paper addresses the outlook in application, potential problems and the development trend of multi-agent-based inspection software for the agricultural expert system.

  2. SELF LEARNING REAL TIME EXPERT SYSTEM

    Directory of Open Access Journals (Sweden)

    Latha B. Kaimal

    2013-02-01

    Full Text Available In a Power plant with a Distributed Control System ( DCS , process parameters are continuously stored in databases at discrete intervals. The data contained in these databases may not appear to contain valuable relational information but practically such a relation exists. The large number of process parameter values are changing with time in a Power Plant. These parameters are part of rules framed by domain experts for the expert system. With the changes in parameters there is a quite high possibility to form new rules using the dynamics of the process itself. We present an efficient algorithm that generates all significant rules based on the real data. The association based algorithms were compared and the best suited algorithm for this process application was selected. The application for the Learning system is studied in a Power Plant domain. The SCADA interface was developed to acquire online plant data.

  3. Steam Generator Inspection Planning Expert System

    International Nuclear Information System (INIS)

    Applying Artificial Intelligence technology to steam generator non-destructive examination (NDE) can help identify high risk locations in steam generators and can aid in preparing technical specification compliant eddy current test (ECT) programs. A steam Generator Inspection Planning Expert System has been developed which can assist NDE or utility personnel in planning ECT programs. This system represents and processes its information using an object oriented declarative knowledge base, heuristic rules, and symbolic information processing, three artificial intelligence based techniques incorporated in the design. The output of the system is an automated generation of ECT programs. Used in an outage inspection, this system significantly reduced planning time

  4. Expert system for fast reactor diagnostic

    International Nuclear Information System (INIS)

    A general description of expert systems is given. The operation of a fast reactor is reviewed. The expert system to the diagnosis of breakdowns limited to the reactor core. The structure of the system is described: specification of the diagnostics; structure of the data bank and evaluation of the rules; specification of the prediagnostics and evaluation; explanation of the diagnostics; time evolution of the system; comparison with other expert systems. Applications to some cases of faults are finally presented

  5. An expert diagnostic system based on neural networks and image analysis techniques in the field of automated cytogenetics.

    Science.gov (United States)

    Beksaç, M S; Eskiizmirliler, S; Cakar, A N; Erkmen, A M; Dağdeviren, A; Lundsteen, C

    1996-03-01

    In this study, we introduce an expert system for intelligent chromosome recognition and classification based on artificial neural networks (ANN) and features obtained by automated image analysis techniques. A microscope equipped with a CCTV camera, integrated with an IBM-PC compatible computer environment including a frame grabber, is used for image data acquisition. Features of the chromosomes are obtained directly from the digital chromosome images. Two new algorithms for automated object detection and object skeletonizing constitute the basis of the feature extraction phase which constructs the components of the input vector to the ANN part of the system. This first version of our intelligent diagnostic system uses a trained unsupervised neural network structure and an original rule-based classification algorithm to find a karyotyped form of randomly distributed chromosomes over a complete metaphase. We investigate the effects of network parameters on the classification performance and discuss the adaptability and flexibility of the neural system in order to reach a structure giving an output including information about both structural and numerical abnormalities. Moreover, the classification performances of neural and rule-based system are compared for each class of chromosome. PMID:8705397

  6. Design and Implementation of Fuzzy Rule Based Expert System for Employees Performance Appraisal in IT Organizations

    Directory of Open Access Journals (Sweden)

    Ashima Aggarwal

    2014-07-01

    Full Text Available Performance Appraisal of employees plays a very critical role towards the growth of any organization. It has always been a tough task for any industry or organization as there is no unanimous scientific modus operandi for that. Performance Appraisal system is used to assess the capabilities and productiveness of the employees. In assessing employee performance, performance appraisal commonly includes assigning numerical values or linguistic labels to employees performance. However, the employee performance appraisal may include judgments which are based on imprecise data particularly when one employee tries to interpret another employee’s performance. Thus, the values assigned by the appraiser are only approximations and there is inherent vagueness in the evaluation. By fuzzy logic perspective, the performance of the appraisee includes the evaluation of his/her work ability, skills and adaptability which are absolutely fuzzy concepts that needs to be define in fuzzy terms. Hence, fuzzy approach can be used to examine these imprecise and uncertainty information. Consequently, the performance appraisal of employees can be accomplished by fuzzy logic approach and different defuzzification techniques are applied to rank the employees according to their performance, which shows inconsequential deviation in the rankings and hence proves the robustness of the system.

  7. Expert system for liquid low-level waste management

    International Nuclear Information System (INIS)

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

  8. Expert system technology for nondestructive waste assay

    International Nuclear Information System (INIS)

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

  9. An expert system technology for work authorization information systems

    International Nuclear Information System (INIS)

    This paper describes the effort by Southern California Edison Company (SCE) and the Electric Power Research Institute (EPRI) to develop an expert systems work station designed to support the San Onofre Nuclear Generating Station (SONGS). The expert systems work station utilizes IntelliCorp KEE (Knowledge Engineering Environment) and EPRI-IntelliCorp PLEXSYS (PLant EXpert SYStem) technology, and SCE Piping and Instrumentation Diagrams (P and ID's) and host-based computer applications to assist plant operations and maintenance personnel in the development of safety tagout boundaries. Of significance in this venture is the merging of conventional computer applications technology with expert systems technology. The EPRI PLEXSYS work station will act as a front-end for the SONGS Tagout Administration and Generation System (TAGS), a conventional CICS/COBOL mainframe computer application

  10. Operational expert system applications in Europe

    CERN Document Server

    Zarri, Gian Piero

    1992-01-01

    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

  11. Empirical guidelines for forest management decision support systems based on the past experiences of the expert's community

    Directory of Open Access Journals (Sweden)

    A.F. Marques

    2013-07-01

    Full Text Available Aim of the study: Decision support systems for forest management (FMDSS have been developed world wide to account for a broad range of forest ecosystems, management goals and organizational frameworks (e.g. the wiki page of the FORSYS project reports 62 existing FMDSSs from 23 countries. The need to enhance the collaboration among this diverse community of developers and users fostered the rise of new group communication processes that could capture useful knowledge from past experiences in order to efficiently provide it to new FMDSS development efforts.Material and methods: This paper presents and tests an exploratory process aiming to identify the empirical guidelines assisting developers and users of FMDSS. This process encompasses aDelphi survey built upon the consolidation of the lessons-learned statements that summarize the past experiences of the experts involved in the FORSYS project. The experts come from 34 countries and have diverse interests, ranging from forest planners, IT developers, social scientists studying participatory planning, and researchers with interests in knowledge management and in quantitative models for forest planning.Main results: The proposed 37 empirical guidelines that group 102 lessons-learned cover a broad range of issues including the DSS development cycle, involvement of the stakeholders, methods, models and knowledge-based techniques in use.Research highlights: These results may be used for improving new FMDSS development processes, teaching and training and further suggest new features of FMDSS and future research topics. Furthermore, the guidelines may constitute a knowledge repository that may be continuously improved by a community of practice.Keywords: Forest management; guidelines; guidelines definition process; lessons learned; decision support systems; system architecture; knowledge management; participatory planning; Delphi.

  12. Handbook of VLSI chip design and expert systems

    CERN Document Server

    Schwarz, A F

    1993-01-01

    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.

  13. METHODS OF IMPROVING THE RELIABILITY OF THE CONTROL SYSTEM TRACTION POWER SUPPLY OF ELECTRIC TRANSPORT BASED ON AN EXPERT INFORMATION

    Directory of Open Access Journals (Sweden)

    O. O. Matusevych

    2009-03-01

    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.

  14. EXADS - EXPERT SYSTEM FOR AUTOMATED DESIGN SYNTHESIS

    Science.gov (United States)

    Rogers, J. L.

    1994-01-01

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

  15. AutoFP: a GUI for highly automated Rietveld refinement using an expert system algorithm based on FullProf

    OpenAIRE

    Cui, Xiaopeng; Feng, Zhenjie; Jin, Yuan; Cao, Yiming; Deng, Dongmei; Chu, Hao; Cao, Shixun; Dong, Cheng; Zhang, Jincang

    2015-01-01

    AutoFP, a highly automated software toolkit, has been developed to improve the extent of automation of the widely used Rietveld refinement program FullProf [Rodríguez-Carvajal (1993). Physica B, 192, 55-69]. An expert system algorithm is used as the control layer to simulate the manual process when FullProf is used to perform Rietveld refinement. This enables the program to complete the Rietveld refinement highly automatically. It is shown that the expert system algorithm is a good choice for...

  16. Expert Systems and their Application in Library and Information Science

    OpenAIRE

    Yogendra P. Dubey

    1996-01-01

    The article explains the concept of expert systems and how they function. The components of an expert system: the knowledge base, the inference engine, user interface and the knowledge acquisition module are explained. The various activities in the LIS field where such systems can be put to use are also discussed.

  17. Expert Systems and their Application in Library and Information Science

    OpenAIRE

    Yogendra P. Dubey

    2003-01-01

    The article explains the concept of expert systems and how they function. The components of an expert system: the knowledge base, the inference engine, user interface and the knowledge acquisition module are explained. The various activities in the LIS field where such systems can be put to use are also discussed.http://dx.doi.org/10.14429/dbit.16.4.3271

  18. Expert Systems and their Application in Library and Information Science

    Directory of Open Access Journals (Sweden)

    Yogendra P. Dubey

    1996-07-01

    Full Text Available The article explains the concept of expert systems and how they function. The components of an expert system: the knowledge base, the inference engine, user interface and the knowledge acquisition module are explained. The various activities in the LIS field where such systems can be put to use are also discussed.

  19. Toward the Development of Expert Assessment Systems.

    Science.gov (United States)

    Hasselbring, Ted S.

    1986-01-01

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

  20. Cooperative expert system reasoning for waste remediations

    International Nuclear Information System (INIS)

    The United States Department of Energy (DOE) is facing a large task in completing Remedial Investigations and Feasibility Studies (RI/FS) for hazardous waste sites across the nation. One of the primary objectives of an RI/FS is the specification of viable sequences of technology treatment trains which can provide implementable site solutions. We present a methodology which integrates expert system technology within an object-oriented framework to create a cooperative reasoning system designed to provide a comprehensive list of these implementable solutions. The system accomplishes its goal of specifying technology trains by utilizing a ''team'' of expert system objects. The system distributes the problem solving among the individual expert objects, and then coordinates the combination of individual decisions into a joint solution. Each expert object possesses the knowledge of an expert in a particular technology. An expert object can examine the parameters and characteristics of the waste site, seek information and support from other expert objects, and then make decisions concerning its own applicability. This methodology has at least two primary benefits. First, the creation of multiple expert objects provides a more direct mapping from the actual process to a software system, making the system easier to build. Second, the distribution of the inferencing among a number of loosely connected expert objects allows for a more robust and maintainable final product

  1. Cooperative expert system reasoning for waste remediations

    Energy Technology Data Exchange (ETDEWEB)

    Bohn, S.J.; Pennock, K.A.; Franklin, A.L.

    1991-12-01

    The United States Department of Energy (DOE) is facing a large task in completing Remedial Investigations and Feasibility Studies (RI/FS) for hazardous waste sites across the nation. One of the primary objectives of an RI/FS is the specification of viable sequences of technology treatment trains which can provide implementable site solutions. We present a methodology which integrates expert system technology within an object-oriented framework to create a cooperative reasoning system designed to provide a comprehensive list of these implementable solutions. The system accomplishes its goal of specifying technology trains by utilizing a team'' of expert system objects. The system distributes the problem solving among the individual expert objects, and then coordinates the combination of individual decisions into a joint solution. Each expert object possesses the knowledge of an expert in a particular technology. An expert object can examine the parameters and characteristics of the waste site, seek information and support from other expert objects, and then make decisions concerning its own applicability. This methodology has at least two primary benefits. First, the creation of multiple expert objects provides a more direct mapping from the actual process to a software system, making the system easier to build. Second, the distribution of the inferencing among a number of loosely connected expert objects allows for a more robust and maintainable final product.

  2. Cooperative expert system reasoning for waste remediations

    Energy Technology Data Exchange (ETDEWEB)

    Bohn, S.J.; Pennock, K.A.; Franklin, A.L.

    1991-12-01

    The United States Department of Energy (DOE) is facing a large task in completing Remedial Investigations and Feasibility Studies (RI/FS) for hazardous waste sites across the nation. One of the primary objectives of an RI/FS is the specification of viable sequences of technology treatment trains which can provide implementable site solutions. We present a methodology which integrates expert system technology within an object-oriented framework to create a cooperative reasoning system designed to provide a comprehensive list of these implementable solutions. The system accomplishes its goal of specifying technology trains by utilizing a ``team`` of expert system objects. The system distributes the problem solving among the individual expert objects, and then coordinates the combination of individual decisions into a joint solution. Each expert object possesses the knowledge of an expert in a particular technology. An expert object can examine the parameters and characteristics of the waste site, seek information and support from other expert objects, and then make decisions concerning its own applicability. This methodology has at least two primary benefits. First, the creation of multiple expert objects provides a more direct mapping from the actual process to a software system, making the system easier to build. Second, the distribution of the inferencing among a number of loosely connected expert objects allows for a more robust and maintainable final product.

  3. An Expert System Approach for Garden Designing

    Directory of Open Access Journals (Sweden)

    NiloofarMozafari

    2012-10-01

    Full Text Available In the recent years, the quality of human life is improved by artificial intelligencetechniques. In artificial intelligence, an expert system is a computer system that emulates thedecision-making ability of a human expert. Expert systems are designed to solve complexproblems by reasoning about knowledge, like an expert. In this paper, we propose an expertsystem with the aim of designing the garden with considering the different taste of thepeople. The proposed system can help people to design their garden themselves. Indeed, it isable to use by architectures to provide decision support system, interactive training tool andexpert advice. The system constitutes part of intelligent system of designing the garden. Aninitial evaluation of the expert system was carried out and a positive feedback was receivedfrom the users.

  4. EMCAR: Expert Multi Class Based on Association Rule

    Directory of Open Access Journals (Sweden)

    Wa'el Hadi

    2013-04-01

    Full Text Available Several experimental studies revealed that expert systems have been successfully applied in real world domains such as medical diagnoses, traffic control, and many others. However, one of the major drawbacks of classic expert systems is their reliance on human domain experts which require time, care, experience and accuracy. This shortcoming also may result in building knowledge bases that may contain inconsistent rules or contradicting rules. To treat the abovementioned we intend to propose and develop automated methods based on data mining called Associative Classification (AC that can be easily integrated into an expert system to produce the knowledge base according to hidden correlations in the input database. The methodology employed in the proposed expert system is based on learning the rules from the database rather than inputting the rules by the knowledge engineer from the domain expert and therefore, care and accuracy as well as processing time are improved. The proposed automated expert system contains a novel learning method based on AC mining that has been evaluated on Islamic textual data according to several evaluation measures including recall, precision and classification accuracy. Furthermore, five different classification approaches: Decision trees (C4.5, KNN, SVM, MCAR and NB and the proposed automated expert system have been tested on the Islamic data set to determine the suitable method in classifying Arabic texts.

  5. Belief-Rule-Based Expert Systems for Evaluation of E- Government: A Case Study

    OpenAIRE

    Hossein, Shahadat; Zander, Par-Ola; Kamal, Md.; Chowdhury, Linkon

    2014-01-01

    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. Since the development of e-government is a continuous process of improvement, 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 com...

  6. Evolving Expert Knowledge Bases: Applications of Crowdsourcing and Serious Gaming to Advance Knowledge Development for Intelligent Tutoring Systems

    Science.gov (United States)

    Floryan, Mark

    2013-01-01

    This dissertation presents a novel effort to develop ITS technologies that adapt by observing student behavior. In particular, we define an evolving expert knowledge base (EEKB) that structures a domain's information as a set of nodes and the relationships that exist between those nodes. The structure of this model is not the particularly novel…

  7. Empirical guidelines for forest management decision support systems based on the past experiences of the expert's community

    Energy Technology Data Exchange (ETDEWEB)

    Marques, A. F.; Ficko, A.; Kangas, A.; Rosset, C.; Ferreti, F.; Rasinmaki, J.; Packalen, T.; Gordom, S.

    2013-09-01

    Aim of the study: Decision support systems for forest management (FMDSS) have been developed world wide to account for a broad range of forest ecosystems, management goals and organizational frameworks (e.g. the wiki page of the FORSYS project reports 62 existing FMDSSs from 23 countries). The need to enhance the collaboration among this diverse community of developers and users fostered the rise of new group communication processes that could capture useful knowledge from past experiences in order to efficiently provide it to new FMDSS development efforts. Material and methods: This paper presents and tests an exploratory process aiming to identify the empirical guidelines assisting developers and users of FMDSS. This process encompasses a Delphi survey built upon the consolidation of the lessons-learned statements that summarize the past experiences of the experts involved in the FORSYS project. The experts come from 34 countries and have diverse interests, ranging from forest planners, IT developers, social scientists studying participatory planning, and researchers with interests in knowledge management and in quantitative models for forest planning. Main results: The proposed 37 empirical guidelines that group 102 lessons-learned cover a broad range of issues including the DSS development cycle, involvement of the stakeholders, methods, models and knowledge based techniques in use. Research highlights: These results may be used for improving new FMDSS development processes, teaching and training and further suggest new features of FMDSS and future research topics. Furthermore, the guidelines may constitute a knowledge repository that may be continuously improved by a community of practice. (Author)

  8. Architecture for a neural expert system for condition-based maintenance of blanking

    NARCIS (Netherlands)

    de Boer, Thomas W.; Klingenberg, Warse

    2008-01-01

    This paper describes a proposal for a hybrid architecture for monitoring and Condition-based Maintenance (CBM) of punching/blanking of sheet metal. Previous work shows that it is possible for certain applications (in which process parameters are sufficiently stable) to detect tool wear and other imp

  9. Hologram representation of design data in an expert system knowledge base

    Science.gov (United States)

    Shiva, S. G.; Klon, Peter F.

    1988-01-01

    A novel representational scheme for design object descriptions is presented. An abstract notion of modules and signals is developed as a conceptual foundation for the scheme. This abstraction relates the objects to the meaning of system descriptions. Anchored on this abstraction, a representational model which incorporates dynamic semantics for these objects is presented. This representational model is called a hologram scheme since it represents dual level information, namely, structural and semantic. The benefits of this scheme are presented.

  10. Designing of a Knowledge Base Expert System for Specific Risks Management in BOT Projects

    OpenAIRE

    SAZGAR, Farzaneh; GANJI KHEIBARI, Mehran; FASIHFAR, Zohreh

    2015-01-01

    Abstract. Economic growth and development is the most important factor in the development of a country, and infrastructure projects such as water and sewage systems, airports, power plants, etc. are the most important factors for economic growth and development.One of the best methods is the use of BOT (Build Operate Transfer) contracts. Since the BOT projects are usually large, and they took relatively long time, risk management is highly important in these projects. In order to solve such p...

  11. Annotation methods to develop and evaluate an expert system based on natural language processing in electronic medical records.

    Science.gov (United States)

    Gicquel, Quentin; Tvardik, Nastassia; Bouvry, Côme; Kergourlay, Ivan; Bittar, André; Segond, Frédérique; Darmoni, Stefan; Metzger, Marie-Hélène

    2015-01-01

    The objective of the SYNODOS collaborative project was to develop a generic IT solution, combining a medical terminology server, a semantic analyser and a knowledge base. The goal of the project was to generate meaningful epidemiological data for various medical domains from the textual content of French medical records. In the context of this project, we built a care pathway oriented conceptual model and corresponding annotation method to develop and evaluate an expert system's knowledge base. The annotation method is based on a semi-automatic process, using a software application (MedIndex). This application exchanges with a cross-lingual multi-termino-ontology portal. The annotator selects the most appropriate medical code proposed for the medical concept in question by the multi-termino-ontology portal and temporally labels the medical concept according to the course of the medical event. This choice of conceptual model and annotation method aims to create a generic database of facts for the secondary use of electronic health records data. PMID:26262366

  12. Expert system technology for the military

    International Nuclear Information System (INIS)

    This paper is concerned with the applications of expert systems to complex military problems. A brief description of needs for expert systems in the military arena is given. A short tutorial on some of the elements of an expert system is found in Appendix I. An important aspect of expert systems concerns using uncertain information and ill-defined procedures. Many of the general techniques of dealing with uncertainty are described in Appendix II. These techniques include Bayesian certainty factors, Dempster-Shafer theory of uncertainty, and Zadeh's fuzzy set theory. The major portion of the paper addresses specific expert system examples such as resource allocation, identification of radar images, maintenance and troubleshooting of electronic equipment, and the interpretation and understanding of radar images. Extensions of expert systems to incorporate learning are examined in the context of military intelligence to determine the disposition, location, and intention of the adversary. The final application involves the use of distributed communicating cooperating expert systems for battle management. Finally, the future of expert systems and their evolving capabilities are discussed

  13. RCM application to pumping equipment - an expert system approach

    International Nuclear Information System (INIS)

    Reliability centered maintenance (RCM) is a new maintenance concept which aims to minimise failure consequences. This paper discusses an expert system approach for RCM as applied to pumping equipment using VP Expert Shell. RCM procedure is based on RCM Decision Diagram which identifies a given failure mode in terms of the failure consequences and suggests a suitable maintenance strategy. A sample consultation of the expert system is also included in the paper. The expert system developed is useful not only to the practicing engineers but also serves as a better tool at the design stages of the equipment. (author). 7 refs., 1 fig

  14. Prediction of source terms for reactor emergency planning - a powerful PC based expert system

    International Nuclear Information System (INIS)

    It is a major advantage to those that must make decisions about the implementation of an emergency plan following an accident at a nuclear power plant if the likely release of activity is predicted before it occurs. To this end, a software module, which provides a rapid estimate of the source term to the environment, has been developed by NNC Ltd. Termed the RODOS STM, the software has been developed such that it can be used with the RODOS system. Operating outside of RODOS, the software remains a useful source term prediction tool. The software employs Bayesian analysis techniques, and the results of level 1 and level 2 probabilistic safety analysis, to calculate the probability of the possible releases of activity into the environment and the potential magnitude of those releases, given a set of observations about the status of the NPP. The software has been developed using the Sizewell 'B' PWR design. (author)

  15. Expert supervision based on cases

    OpenAIRE

    Meléndez i Frigola, Joaquim; Colomer Llinàs, Joan; Rosa, Josep Lluís de la

    2001-01-01

    The paper focuses on taking advantage of large amounts of data that are systematically stored in plants (by means of SCADA systems), but not exploited enough in order to achieve supervisory goals (fault detection, diagnosis and reconfiguration). The methodology of case base reasoning (CBR) is proposed to perform supervisory tasks in industrial processes by re-using the stored data. The goal is to take advantage of experiences, registered in a suitable structure as cam, avoiding the tedious ta...

  16. 基于MYCIN不精确推理的专家系统C++程序设计%Expert system C++ program design based on MYCIN inexact inference

    Institute of Scientific and Technical Information of China (English)

    刘海荣; 刘金琨

    2001-01-01

    An expert system program is developed by using C++ language. In the system, fuzzy knowledge expression and inference based on the production rule are realized, which provides convenience for building various expert system by adopting C++ language for the future.%文中采用C++语言开发了基于MYCIN的专家系统程序,实现了基于规则的模糊知识表达与推理,为今后采用C++建造各种实用专家系统提供了方便。

  17. Expert system for quality control in the INIS database

    International Nuclear Information System (INIS)

    An expert system developed to identify input items to INIS database with a high probability of containing errors is described. The system employs a Knowledge Base constructed by the interpretation of a large number of intellectual choices or expert decisions made by human indexers and incorporated in the INIS database. On the basis of the descriptor indexing, the system checks the correctness of the categorization. A notable feature of the system is its capability of self improvement by the continuous updating of the Knowledge Base. The expert system has also been found to be extremely useful in identifying documents with poor indexing. 3 refs, 9 figs

  18. The Gas Resources Assessment Expert System of the Songliao Basin

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    The gas resources assessment expert system is one of the advanced methods for appraising oil and gas resources. The establishment of a knowledge base is the focal task in developing the expert system. This paper presents a summary of the mechanism and the major controlling factors in the formation of gas pools in the southeast uplift of the Songliao basin. Then an appropriate assessment model is established for trapping the gas resources and a knowledge base built in the expert system to realize the model. By using the expert system to appraise the gas-bearing probability of 25 major traps of the Quantou and Denglouku Formations in the Shiwu-Dehui area, the authors have proved that the expert system is suitable for appraising traps in the Songliao basin and similar basins.

  19. NESSUS/EXPERT - An expert system for probabilistic structural analysis methods

    Science.gov (United States)

    Millwater, H.; Palmer, K.; Fink, P.

    1988-01-01

    An expert system (NESSUS/EXPERT) is presented which provides assistance in using probabilistic structural analysis methods. NESSUS/EXPERT is an interactive menu-driven expert system that provides information to assist in the use of the probabilistic finite element code NESSUS/FEM and the fast probability integrator. NESSUS/EXPERT was developed with a combination of FORTRAN and CLIPS, a C language expert system tool, to exploit the strengths of each language.

  20. An expert system with radial basis function neural network based on decision trees for predicting sediment transport in sewers.

    Science.gov (United States)

    Ebtehaj, Isa; Bonakdari, Hossein; Zaji, Amir Hossein

    2016-01-01

    In this study, an expert system with a radial basis function neural network (RBF-NN) based on decision trees (DT) is designed to predict sediment transport in sewer pipes at the limit of deposition. First, sensitivity analysis is carried out to investigate the effect of each parameter on predicting the densimetric Froude number (Fr). The results indicate that utilizing the ratio of the median particle diameter to pipe diameter (d/D), ratio of median particle diameter to hydraulic radius (d/R) and volumetric sediment concentration (C(V)) as the input combination leads to the best Fr prediction. Subsequently, the new hybrid DT-RBF method is presented. The results of DT-RBF are compared with RBF and RBF-particle swarm optimization (PSO), which uses PSO for RBF training. It appears that DT-RBF is more accurate (R(2) = 0.934, MARE = 0.103, RMSE = 0.527, SI = 0.13, BIAS = -0.071) than the two other RBF methods. Moreover, the proposed DT-RBF model offers explicit expressions for use by practicing engineers. PMID:27386995

  1. An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine.

    Science.gov (United States)

    Avci, Derya; Dogantekin, Akif

    2016-01-01

    Parkinson disease is a major public health problem all around the world. This paper proposes an expert disease diagnosis system for Parkinson disease based on genetic algorithm- (GA-) wavelet kernel- (WK-) Extreme Learning Machines (ELM). The classifier used in this paper is single layer neural network (SLNN) and it is trained by the ELM learning method. The Parkinson disease datasets are obtained from the UCI machine learning database. In wavelet kernel-Extreme Learning Machine (WK-ELM) structure, there are three adjustable parameters of wavelet kernel. These parameters and the numbers of hidden neurons play a major role in the performance of ELM. In this study, the optimum values of these parameters and the numbers of hidden neurons of ELM were obtained by using a genetic algorithm (GA). The performance of the proposed GA-WK-ELM method is evaluated using statical methods such as classification accuracy, sensitivity and specificity analysis, and ROC curves. The calculated highest classification accuracy of the proposed GA-WK-ELM method is found as 96.81%. PMID:27274882

  2. Randomized controlled trial of supervised patient self-testing of warfarin therapy using an internet-based expert system.

    LENUS (Irish Health Repository)

    Ryan, F

    2009-08-01

    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.

  3. An expert system for automated robotic grasping

    International Nuclear Information System (INIS)

    Many US Department of Energy sites and facilities will be environmentally remediated during the next several decades. A number of the restoration activities (e.g., decontamination and decommissioning of inactive nuclear facilities) can only be carried out by remote means and will be manipulation-intensive tasks. Experience has shown that manipulation tasks are especially slow and fatiguing for the human operator of a remote manipulator. In this paper, the authors present a rule-based expert system for automated, dextrous robotic grasping. This system interprets the features of an object to generate hand shaping and wrist orientation for a robot hand and arm. The system can be used in several different ways to lessen the demands on the human operator of a remote manipulation system - either as a fully autonomous grasping system or one that generates grasping options for a human operator and then automatically carries out the selected option

  4. EMMA: The expert system for munition maintenance

    Science.gov (United States)

    Mullins, Barry E.

    1988-01-01

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

  5. The Workplace Exposure Assessment Expert System (WORKSPERT).

    Science.gov (United States)

    Tait, K

    1992-02-01

    The fundamental principles of industrial hygiene are based upon the recognition, evaluation, and control of workplace hazards. Occupational safety and health professionals (e.g., industrial hygienists) perform this task by assessing numerous complex factors. In many situations industrial hygienists are not available; therefore, an expert system has been developed to assist the performance of workplace exposure assessments (WEAs). The Workplace Exposure Assessment Expert System (WORKSPERT) evaluates various hazardous substances, workplace conditions, and worker exposures for designated homogeneous exposure groups (HEGs). The three major components of WORKSPERT (i.e., substance, workplace, and exposure factors) are described by 27 multiple attribute variables. An air monitoring program (AMP) may be recommended for each HEG based upon the WEA. The AMP provides recommendations for an appropriate sampling strategy, sampling duration, multiple substance exposures, and number of samples to be obtained in the future. The use of WORKSPERT or other expert systems should never supersede the judgment of occupational safety and health professionals. However, WORKSPERT can be a valuable tool when used by knowledgeable, qualified technical professionals (e.g., safety and health specialists, chemists, engineers, and toxicologists) who understand the specific substance, workplace, and exposure factors for designated HEGs. WORKSPERT allows these people to benefit from the expertise of an industrial hygienist by performing systematic evaluations and obtaining recommendations for corrective actions or an AMP. The use of WORKSPERT to perform WEAs promotes the protection of workers from hazardous substances and assists compliance with occupational safety and health regulations. It also facilitates the communication of substance hazards, workplace controls, and worker exposures in a succinct manner. PMID:1543134

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

    Directory of Open Access Journals (Sweden)

    Shikhar Kr. Sarma

    2010-07-01

    Full Text Available 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 including decision support module with interactive user interfaces for diagnosis on the basis of response(s of the user made against the queries related to particular disease symptoms. ESTA programming is based on logic programming approach. The system integrates a structured knowledge base that contains knowledge about symptoms and remedies of diseases in the rice plant appearing during their life span. An image database is also integrated with the system for making the decision support more interactive. The pictures related to disease symptoms are stored in the picture database and the intelligent system module prompts these with the interface based on rule based decision making algorithms. The system has been tested with domain dataset, and results given by the system have been validated with domain experts.

  7. An Ada inference engine for expert systems

    Science.gov (United States)

    Lavallee, David B.

    1986-01-01

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

  8. Executive system software design and expert system implementation

    Science.gov (United States)

    Allen, Cheryl L.

    1992-01-01

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

  9. Using of Expert Systems in Electrodiagnostics of Large Electrical Machines

    Directory of Open Access Journals (Sweden)

    K. Záliš

    2000-01-01

    Full Text Available Several rule-based expert systems were developed for diagnostics of high voltage (HV insulation systems, especially for the evaluation of partial discharge (PD activity. Several rule-based expert systems were developed in the cooperation of top diagnostic workplaces of the Czech Republic for this purpose. The IZOLEX expert system evaluates diagnostic measurement data from commonly used off-line diagnostic methods for the diagnostics of HV insulation of rotating machines, non-rotating machines and insulating oils. The CVEX expert system evaluates the PD activity on HV electrical machines and equipment by means of an off-line measurement. The CVEXON expert system is for the evaluation of the discharge activity by on-line measurement and the ALTONEX expert system is the system for on-line monitoring of rotating machines. The complex project for the evaluation of a PD measurement on HV insulation systems has also been made. This complex evaluating system includes two parallel expert systems for the evaluation of a PD activity on HV electrical machines.

  10. Rotating Machinery Predictive Maintenance Through Expert System

    Directory of Open Access Journals (Sweden)

    M. Sarath Kumar

    2000-01-01

    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++.

  11. An outline of a model-based expert system to identify optimal remedial strategies for restoring contaminated acquatic ecosystems: The project ``moira``

    Energy Technology Data Exchange (ETDEWEB)

    Appelgren, A.; Bergstrom, U. [Studsvik Eco and AB, Nykoping (Sweden); Brittain, J. [Oslo Univ. (Norway). LFI Zoological Museum; Gallego Diaz, E. [Madrid Universidad Politecnica (Spain). Dept. de Ingenieria Nuclear; Hakanson, L. [KEMA Nuclear, Arnhem (Niger); Monte, L. [ENEA, Centro Ricerche Casaccia, Rome (Italy). Dip. Ambiente

    1996-10-01

    The present report describes the fundamental principles of the research programme MOIRA (a model based computerized system for management support to Identify optimal remedial strategies for Restoring radionuclide contaminated Aquatic ecosystems and drainage areas) financed by the EC (European Community) (Contract N F14P-CT96-0036). The interventions to restore radionuclides contaminated aquatic systems may result in detrimental ecological, social and economical effects. Decision makers must carefully evaluate these impacts. The main aim of the MOIRA project is the development of an expert system based on validated models predicting the evolution of the radioactive contamination of fresh water systems following countermeasure applications and their relevant ecological, social and economical impacts. The expert system will help decision makers, that are not necessarily gifted with experience in environmental modeling, to identify optimal remedial strategies for restoring contaminated fresh water systems.

  12. An outline of a model-based expert system to identify optimal remedial strategies for restoring contaminated aquatic ecosystems: the project MOIRA

    International Nuclear Information System (INIS)

    The present report describes the fundamental principles of the research programme MOIRA (a model based computerized system for management support to Identify optimal remedial strategies for Restoring radionuclide contaminated Aquatic ecosystems and drainage areas) financed by the EC (European Community) (Contract N F14P-CT96-0036). The interventions to restore radionuclides contaminated aquatic systems may result in detrimental ecological, social and economical effects. Decision makers must carefully evaluate these impacts. The main aim of the MOIRA project is the development of an expert system based on validated models predicting the evolution of the radioactive contamination of fresh water systems following countermeasure applications and their relevant ecological, social and economical impacts. The expert system will help decision makers, that are not necessarily gifted with experience in environmental modeling, to identify optimal remedial strategies for restoring contaminated fresh water systems

  13. Marine Oil Spill Expert Systems (MOSES)

    International Nuclear Information System (INIS)

    The marine oil response community is international by nature. With two-thirds of the world's oil supply crossing oceans, a spill could occur anywhere at any time. Advances in information technology make it possible to retrieve information instantaneously. The information is critical in formulating a response operation. Computers are an indispensable tool on location. They can operate off-site, with information being sent from the spill site to the place where the computer is located. Expert systems are an excellent means to capture and store knowledge on the computer for rapid retrieval when needed. They are very useful in cases where timing is critical and decision-making is complex. Expert systems can be a cost-effective response tool, but it was suggested that in order to take greater advantage of this tool, more effort should be devoted to improving the decision-making of expert systems to marine oil spill response operations. The authors pointed out that expert systems will never replace human judgement, but with the current generation of response experts nearing retirement, it is important to preserve the bank of knowledge acquired by these experts. The lessons learned by these experts can be transferred to the computer for easy access, retrieval and application during a spill event. 6 refs

  14. Application of expert systems technology in nuclear plants

    International Nuclear Information System (INIS)

    Technical Processes require expert systems with on-line and real-time capabilities. As the states of the process change with time, so do the contents of the expert system's knowledge base. Also, rule-based systems are not powerful enough to satisfy the requirements for an application to be useful. New paradigms are necessary to cope with the problems. Integration of qualitative and quantitative modelling with respect to expert system applications to large technical processes is a must. As processes are event-based, so must be the expert system applied to it. Moreover, the paper shows that event orientation has a natural software paradigm as a counterpart: object orientation. A method as a to how the dynamical changes in the process are reflected in a dynamical (time-dependent) knowledge base is also shown. (orig.)

  15. Health monitoring system of EWSD exchange using expert system approach

    International Nuclear Information System (INIS)

    Expert systems are practical programs that Use heuristic strategies developed by humans to solve specific classes of problems. The expert system presented in this paper is built for a Portion of EWSD exchange called Line Trunk Group (LTG). LTGs can be used locally with in the exchange or remotely (remote switching unit) in the vicinity of groups of subscribers. They concentrate subscribers' traffic and can be adapted to differing traffic volumes by flexible assignment of subscriber lines as well as PDCs (Primary Digital Carriers) and permit wide-area usage of digital technology. The Purpose of this paper is to utilize the information provided by OMT (Operation and Maintenance Terminals), experts and other system panels to rectify the fault through a well designed Expert System. This will help and guide the operators and technicians by a knowledge based program that provides 'expert quality' solutions to problems in the Line Trunk Group (LTG) of the EWSD Exchange. Such a Decision Support System (DSS) will assist the user in locating and rectifying faults of EWSD exchange in fast and accurate manner. (author)

  16. XML Solving Problem of Expert System

    OpenAIRE

    Yasser A. Nada

    2011-01-01

    The Extensible Markup Language (XML) is a subset of SGML that is completely described in this paper. Its goal is to enable generic SGML to be served, received, and processed on the Web in the way that is now possible with HTML. XML has been designed for ease of implementation and for interoperability with both SGML and HTML. An expert system is a computer program designed to simulate the problem-solving behavior of a human who is an expert in a narrow domain or discipline. Expert Systems (E...

  17. Knowledge Representation Using Multilevel Flow Model in Expert System

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Wenlin; Yang, Ming [Harbin Engineering University, Harbin (China)

    2015-05-15

    As for the knowledge representation, of course, there are a great many methods available for knowledge representation. These include frames, causal models, and many others. This paper presents a novel method called Multilevel Flow Model (MFM), which is used for knowledge representation in G2 expert system. Knowledge representation plays a vital role in constructing knowledge bases. Moreover, it also has impact on building of generic fault model as well as knowledge bases. The MFM is particularly useful to describe system knowledge concisely as domain map in expert system when domain experts are not available.

  18. Knowledge Representation Using Multilevel Flow Model in Expert System

    International Nuclear Information System (INIS)

    As for the knowledge representation, of course, there are a great many methods available for knowledge representation. These include frames, causal models, and many others. This paper presents a novel method called Multilevel Flow Model (MFM), which is used for knowledge representation in G2 expert system. Knowledge representation plays a vital role in constructing knowledge bases. Moreover, it also has impact on building of generic fault model as well as knowledge bases. The MFM is particularly useful to describe system knowledge concisely as domain map in expert system when domain experts are not available

  19. Training, simulation, restoration expert system for power grid

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    The paper introduces some technology for training, simulation, restoration expert system of power grid, the structure of the system including function composition, hardware and software composition are discussed, knowledge representation and the method to establish device graphical library for expert system are given, the fault setting and diagnosis for training and simulation as well as restoration technology with deep first searching arithmetic and heuristic inference are presented. The research provides a good base for developing the training, simulation, restoration system of power companies.

  20. The Expert System Designed to Improve Customer Satisfaction

    CERN Document Server

    Devi, P Isakki alias

    2011-01-01

    Customer Relationship Management becomes a leading business strategy in highly competitive business environment. It aims to enhance the performance of the businesses by improving the customer satisfaction and loyalty. The objective of this paper is to improve customer satisfaction on product's colors and design with the help of the expert system developed by using Artificial Neural Networks. The expert system's role is to capture the knowledge of the experts and the data from the customer requirements, and then, process the collected data and form the appropriate rules for choosing product's colors and design. In order to identify the hidden pattern of the customer's needs, the Artificial Neural Networks technique has been applied to classify the colors and design based upon a list of selected information. Moreover, the expert system has the capability to make decisions in ranking the scores of the colors and design presented in the selection. In addition, the expert system has been validated with a different...

  1. Expert system for space power supplies

    International Nuclear Information System (INIS)

    Design and evaluation of space power supplies involves many qualitative, uncertain and heuristic factors that cannot be handled by conventional algorithmic computer programs. The authors are applying Artificial Intelligence/Expert Systems techniques to provide tools for designers and managers for the synthesis and analysis of space power supplies. The authors have evaluated the feasibility of an Expert System for the identification and selection of supplies for a wide range of NASA missions of various power levels (P) and durations

  2. Expert finder systems – design and use

    DEFF Research Database (Denmark)

    Lykke, Marianne; Weidel, Eva

    2011-01-01

    expert finder systems to share knowledge about employees’ knowledge, interest, competences and activities. The purpose of the survey was to provide insight into goals, content and functionality of expert finder systems, including updating strategies and connection to social media knowledge sharing tools......, practical contact information, and behavioral data about activities, documents, network and preferences • Integration with social technologies is central - codification supports awareness and expertise retrieval, social networking supports sharing and interactive formation of knowledge...

  3. Program for Experimentation With Expert Systems

    Science.gov (United States)

    Engle, S. W.

    1986-01-01

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

  4. An Expert System for Concrete Bridge Management

    DEFF Research Database (Denmark)

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

    1997-01-01

    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 ...... 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....... 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...

  5. The plant expert system (PLEXSYS) development environment

    International Nuclear Information System (INIS)

    The PLEXSYS software engineering tool provides an environment with which utility engineers can build and use expert systems for power plant applications. PLEXSYS provides the engineer with access to many powerful Artificial Intelligence methodologies, while retaining an engineering frame of reference and minimizing the need for a formal background in computer science. The principle concept is that the description and understanding of power plant systems centers on graphical forms such as piping and instrumentation diagrams and electrical line diagrams, which define a graphics-based model of plant knowledge that is common to many applications. PLEXSYS provides a model editor that allows the user to construct and modify models of hydraulic, electrical, and information systems in terms of elementary components and their interconnections. Analysis of the resulting schematic models is provided by several functions that perform network analysis, schematic browsing, mathematical modeling and customization of the user interface. 41 figs., 1 tab

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

    Science.gov (United States)

    Dewanto, Satrio; Lukas, Jonathan

    2014-03-01

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

  7. A study on expert system applications for nuclear power plant

    International Nuclear Information System (INIS)

    The objectives of this research are 1) to develop an expert system which can automatically evaluate eddy current (EC) signal during an eddy current test (ECT) of SG U tube inspection, 2) to build an effective data base management system for ECT data. By this expert system the reliability in EC signal evaluation can be improved, and the required man-power can be reduced. And this expert system can supply a stable ECT and contribute to a safe operation of the nuclear power plant. (author)

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

    Directory of Open Access Journals (Sweden)

    Dewanto Satrio

    2014-03-01

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

  9. Knowledge Representation and Fuzzy Reasoning of an Agricultural Expert System

    Institute of Scientific and Technical Information of China (English)

    吴顺祥; 倪子伟; 李茂青

    2002-01-01

    The design scheme of an agricultural expert system based on longan and cauliflower planting techniques is presented. Using an object-oriented design and a combination of the techniques in multimedia, database, expert system and artificial intelligence, an in-depth analysis and summary are made of the knowledge features of the agricultural multimedia expert system and data models involved. According to the practical problems in agricultural field, the architectures and functions of the system are designed, and some design ideas about the hybrid knowledge representation and fuzzy reasoning are proposed.

  10. Research on the expert system reasoning model based on Agent%基于Agent的专家系统推理模型

    Institute of Scientific and Technical Information of China (English)

    陶倩; 马刚; 史忠植

    2013-01-01

      针对传统专家系统推理模型结构在知识获取方面适应性差的现状,从系统科学的视角,运用复杂适应系统理论,对传统专家系统的结构及运行机制进行了改进。引入 Agent 来模拟人脑中的神经元,用来承载专家系统中相互作用的知识,然后,基于 Multi-Agent 之间的相互作用来构建复杂适应的专家系统推理模型。从而,将专家系统中的知识获取机制、知识库、推理机三者统一于由 Multi-Agent 进行相互作用的复杂适应系统之中。通过设计体育赛事申办决策专家系统的原型,进行了专家系统推理模型的验证。原型运行结果表明:基于 Multi-Agent 的专家系统推理模型结构能够有效地提高专家系统知识获取的适应性。这为研究更加接近人脑智能的专家系统提供了崭新的研究思路。%The traditional expert system reasoning model structure has poor adaptability in acquiring knowledge . From the viewpoint of system science, the complex adaptive system theory is used to improve the structure and oper -ation mechanism of a traditional expert system .Firstly, an Agent was introduced to simulate neurons in the human brain and load the knowledge interacting in the expert system reasoning model .Then an expert system reasoning model of complex adaptation was constructed based on the Multi -Agent interaction.Consequently, the knowledge acquiring mechanism, knowledge base and reasoning engine were unified into the Agents interaction in the complex adaptive expert system.Finally, by designing the expert system reasoning model prototype in decision -making of in-ternational sporting events bidding , the effectiveness of the expert system reasoning model based on Agent was veri -fied.The results of the prototype running show that the expert system reasoning structure based on Multi -Agent model can effectively improve the adaptability of expert system knowledge acquisition .That

  11. Guidelines for the verification and validation of expert system software and conventional software: Evaluation of knowledge base certification methods. Volume 4

    Energy Technology Data Exchange (ETDEWEB)

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

    1995-03-01

    This report presents the results of the Knowledge Base Certification activity of the expert systems verification and validation (V&V) guideline development 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 is concerned with the development and testing of various methods for assuring the quality of knowledge bases. The testing procedure used was that of behavioral experiment, the first known such evaluation of any type of V&V activity. The value of such experimentation is its capability to provide empirical evidence for -- or against -- the effectiveness of plausible methods in helping people find problems in knowledge bases. The three-day experiment included 20 participants from three nuclear utilities, the Nuclear Regulatory Commission`s Technical training Center, the University of Maryland, EG&G Idaho, and SAIC. The study used two real nuclear expert systems: a boiling water reactor emergency operating procedures tracking system and a pressurized water reactor safety assessment systems. Ten participants were assigned to each of the expert systems. All participants were trained in and then used a sequence of four different V&V methods selected as being the best and most appropriate for study on the basis of prior evaluation activities. These methods either involved the analysis and tracing of requirements to elements in the knowledge base (requirements grouping and requirements tracing) or else involved direct inspection of the knowledge base for various kinds of errors. Half of the subjects within each system group used the best manual variant of the V&V methods (the control group), while the other half were supported by the results of applying real or simulated automated tools to the knowledge bases (the experimental group).

  12. Guidelines for the verification and validation of expert system software and conventional software: Evaluation of knowledge base certification methods. Volume 4

    International Nuclear Information System (INIS)

    This report presents the results of the Knowledge Base Certification activity of the expert systems verification and validation (V ampersand V) guideline development 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 ampersand V of expert systems for use in nuclear power applications. This activity is concerned with the development and testing of various methods for assuring the quality of knowledge bases. The testing procedure used was that of behavioral experiment, the first known such evaluation of any type of V ampersand V activity. The value of such experimentation is its capability to provide empirical evidence for -- or against -- the effectiveness of plausible methods in helping people find problems in knowledge bases. The three-day experiment included 20 participants from three nuclear utilities, the Nuclear Regulatory Commission's Technical training Center, the University of Maryland, EG ampersand G Idaho, and SAIC. The study used two real nuclear expert systems: a boiling water reactor emergency operating procedures tracking system and a pressurized water reactor safety assessment systems. Ten participants were assigned to each of the expert systems. All participants were trained in and then used a sequence of four different V ampersand V methods selected as being the best and most appropriate for study on the basis of prior evaluation activities. These methods either involved the analysis and tracing of requirements to elements in the knowledge base (requirements grouping and requirements tracing) or else involved direct inspection of the knowledge base for various kinds of errors. Half of the subjects within each system group used the best manual variant of the V ampersand V methods (the control group), while the other half were supported by the results of applying real or simulated automated tools to the knowledge bases

  13. Fuzzy Expert System for Diabetes using Fuzzy Verdict Mechanism

    OpenAIRE

    M. Kalpana; Dr. A.V Senthil Kumar

    2011-01-01

    The fuzzy logic and expert system is an important technique to enhance the machine learning reasoning. In this paper, we propose a fuzzy expert system framework which constructs large scale knowledge based system effectively for diabetes. The knowledge is constructed by using the fuzzification to convert crisp values into fuzzy values. By applying the fuzzy verdict mechanism, diagnosis of diabetes becomes simple for medical practitioners. Fuzzy verdict mechanism uses triangular me...

  14. Expert Systems and their Application in Library and Information Science

    Directory of Open Access Journals (Sweden)

    Yogendra P. Dubey

    2003-01-01

    Full Text Available The article explains the concept of expert systems and how they function. The components of an expert system: the knowledge base, the inference engine, user interface and the knowledge acquisition module are explained. The various activities in the LIS field where such systems can be put to use are also discussed.http://dx.doi.org/10.14429/dbit.16.4.3271

  15. Online NPP monitoring with neuro-expert system

    International Nuclear Information System (INIS)

    This study present a hybrid monitoring system for nuclear power plant utilizing neural networks and a rule-based expert system. The whole monitoring system including a data acquisition system and the advisory displays has been tested by an on-line simulator of pressurized water reactor. From the testing results, it was shown that the neural network in the monitoring system successfully modeled the plant dynamics and detected the symptoms of anomalies earlier than the conventional alarm system. The expert system also worked satisfactorily in diagnosing and displaying the system status by using the outputs of neural networks and a priori knowledge base

  16. Poultry Diseases Expert System using Dempster-Shafer Theory

    CERN Document Server

    Maseleno, Andino

    2012-01-01

    Based on World Health Organization (WHO) fact sheet in the 2011, outbreaks of poultry diseases especially Avian Influenza in poultry may raise global public health concerns due to their effect on poultry populations, their potential to cause serious disease in people, and their pandemic potential. In this research, we built a Poultry Diseases Expert System using Dempster-Shafer Theory. In this Poultry Diseases Expert System We describe five symptoms which include depression, combs, wattle, bluish face region, swollen face region, narrowness of eyes, and balance disorders. The result of the research is that Poultry Diseases Expert System has been successfully identifying poultry diseases.

  17. Candidate evaluation system: Documentation of the data base design and application software for the prototype expert support system

    Energy Technology Data Exchange (ETDEWEB)

    Arnold, H.G.; Loffman, R.S.; Sexton, F.L.; Rush, R.M.

    1988-06-01

    The US Department of the Army established the Candidate Evaluation Prototype Project, Project Management Office to analyze the current procedure for filing Army civilian jobs and to develop improved automated procedures to meet this need. The Army Civilian Personnel Center (now the Civilian Information Directorate) tasked The Oak Ridge National Laboratory (ORNL) to provide technical support, research, and development to the Project Management Office and deliver a prototype of a Candidate Evaluation System that would run on the minicomputer hardware and software being delivered to personnel offices located throughout the world. This report discusses the background of the project, including constraints and requirements; describes the data base design and program code developed to implement the prototype; documents known limitations of the prototype; and contains recommendations to be considered in future development. The objective of this report is to document the prototype software system for use by Army programmers/analysts who will maintain or further develop the prototype software.

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

    Science.gov (United States)

    Rajaram, Navaratna S.

    1987-01-01

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

  19. Knowledge-based optimization in external radiation therapy: association of an expert-system and a numerical optimization technique in the treatment of nasopharyngeal carcinomas

    International Nuclear Information System (INIS)

    Knowledge-based optimization in external radiation therapy: association of an expert-system and a numerical optimization technique in the treatment of nasopharyngeal carcinomas. Optimization of radiation therapy in nasopharyngeal carcinoma is particularly complex due to both the proximity of at risk organs and the high dose that has to be delivered. To obtain an optimal dose distribution, a knowledge-based optimization technique has been designed that associates an expert-system, named CAVCAV, with numeric optimization (gradient projection method). Based on clinical and physical criteria, CAVCAV determines the geometric characteristics of the radiation fields (beam direction, location and shape of the shielding blocks) for the three stages of radiation therapy of nasopharyngeal carcinomas. Stage 2-treatment fields proposed by CAVCAV, though not perfectly adapted to the patient, are mathematically (beam weights, beam directions, isocenter position) and geometrically (adaptation of fields and shape of blocks by virtual simulation) optimized. (author)

  20. Cognitive Expert Systems and Machine Learning: Artificial Intelligence Research at the University of Connecticut

    OpenAIRE

    Selfridge, Mallory; Dickerson, Donald J.; Biggs, Stanley F.

    1987-01-01

    In order for next-generation expert systems to demonstrate the performance, robustness, flexibility, and learning ability of human experts, they will have to be based on cognitive models of expert human reasoning and learning. We call such next-generation systems cognitive expert systems. Research at the Artificial Intelligence Laboratory at the University of Connecticut is directed toward understanding the principles underlying cognitive expert systems and developing computer programs embody...

  1. Expert systems in the nuclear industry

    International Nuclear Information System (INIS)

    Recent developments in expert system technology have led to the question whether such systems could be used for the enhancement of nuclear safety, particularly as advisory system during abnormal plant conditions. This document was produced during the Technical Committee Meeting (TCM) to Demonstrate and Review Expert System Prototypes, which was organized jointly by the International Atomic Energy Agency and British Nuclear Fuels Ltd (BNFL) and held at the BNFL site in Springfields, United Kingdom, from 30 September to 4 October 1991. A separate abstract was prepared for each of the 14 papers in this document. Refs, figs and tabs

  2. ZEXP - expert system for ZEUS

    International Nuclear Information System (INIS)

    The proper and timely reactions to errors occurring in the online data-acquisition (DAQ) system are necessary conditions of smooth data taking during the experiment runs. Since the Eventbuilder (EVB) is a central part of the ZEUS DAQ system, it is the best place for monitoring, detecting, and recognizing erroneous behaviour. ZEXP is a software tool for upgrading the DAQ system performance. The pattern recognition methodology used for designing one of its two main modules is discussed. The general design ideas of the system and some preliminary results from the summarizing run module are presented, as well. (orig.)

  3. Poultry Diseases Expert System using Dempster-Shafer Theory

    OpenAIRE

    Maseleno, Andino; Hasan, Md. Mahmud

    2012-01-01

    Based on World Health Organization (WHO) fact sheet in the 2011, outbreaks of poultry diseases especially Avian Influenza in poultry may raise global public health concerns due to their effect on poultry populations, their potential to cause serious disease in people, and their pandemic potential. In this research, we built a Poultry Diseases Expert System using Dempster-Shafer Theory. In this Poultry Diseases Expert System We describe five symptoms which include depression, combs, wattle, bl...

  4. Design and development of expert system for controlling sintering process

    Institute of Scientific and Technical Information of China (English)

    1999-01-01

    The general structure of expert system for controlling sintering process has been proposed. It includes knowledge base, inference engine, data acquisition system, learning system, knowledge base management system, explanation system and so on. The control functions consist of sintering chemical composition control centered on basicity and sintering process state control centered on permeability. The adaptive prediction of sintering chemical composition, the control strategy centered on basicity, the control strategy centered on permeability, the judgement of permeability and the prediction of burn through point were studied. The software of system, which includes about 1000 expert rules, was successfully applied in off-line control of sintering process in a sintering plant.

  5. Fuzzy Expert System for Diabetes using Fuzzy Verdict Mechanism

    Directory of Open Access Journals (Sweden)

    M.Kalpana

    2011-09-01

    Full Text Available The fuzzy logic and expert system is an important technique to enhance the machine learning reasoning. In this paper, we propose a fuzzy expert system framework which constructs large scale knowledge based system effectively for diabetes. The knowledge is constructed by using the fuzzification to convert crisp values into fuzzy values. By applying the fuzzy verdict mechanism, diagnosis of diabetes becomes simple for medical practitioners. Fuzzy verdict mechanism uses triangular membership function with mamdaniís inference. Defuzzification method is adopted to convert the fuzzy values into crisp values. The result of the proposed method is compared with earlier method using accuracy as metrics. The proposed fuzzy expert system can work more effectively for diabetes application and also improves the accuracy of fuzzy expert system.

  6. An evaluation of expert systems for software engineering management

    Science.gov (United States)

    Ramsey, Connie Loggia; Basili, Victor R.

    1989-01-01

    The development of four separate prototype expert systems to aid in software engineering management is described. Given the values for certain metrics, these systems provide interpretations which explain any abnormal patterns of these values during the development of a software project. The four expert systems, which solve the same problem, were built using two different approaches to knowledge acquisition, a bottom-up approach and a top-down approach, and two different expert system methods, rule-based deduction and frame-based abduction. In a comparison to see which methods might better suit the needs of this field, it was found that the bottom-up approach led to better results than did the top-down approach, and the rule-based deduction systems using simple rules provided more complete and correct solutions than did the frame-based abduction systems.

  7. Expert system in PNC, 2

    International Nuclear Information System (INIS)

    The fuzzy logic control system for steam drum water level control of Fugen NPS was developed by PNC. The system consists of process interface device, fuzzy inference calculating device and engineering work station (EWS). Some qualitative characteristics on the steam drum water level control and flexible and heuristic control strategy employed by humans can be described by fuzzy linguistic rules using some linguistic valuables defined by membership functions. The EWS has some useful functions for development of fuzzy logic control method, such as on-line setting up or change the control rules, data logging, verification of the fuzzy inference calculating device, etc. And all incoming process signals, a process of fuzzy inference calculation and its result are on-line displayed every 1 second. This paper describes outline of the feed water control system of Fugen and the functions of the fuzzy logic control system. (author)

  8. Cooperating expert systems for space station power distribution management

    International Nuclear Information System (INIS)

    In a complex system such as the manned Space Station, it is deemed necessary that many expert systems must perform tasks in a concurrent and cooperative manner. An important question to arise is: what cooperative-task-performing models are appropriate for multiple expert systems to jointly perform tasks. The solution to this question will provide a crucial automation design criteria for the Space Station complex systems architecture. Based on a client/server model for performing tasks, the authors have developed a system that acts as a front-end to support loosely-coupled communications between expert systems running on multiple Symbolics machines. As an example, they use the two ART*-based expert systems to demonstrate the concept of parallel symbolic manipulation for power distribution management and dynamic load planner/scheduler in the simulated Space Station environment. This on-going work will also explore other cooperative-task-performing models as alternatives which can evaluate inter and intra expert system communication mechanisms. It will serve as a testbed and a bench-marking tool for other Space Station expert subsystem communication and information exchange

  9. 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...... 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...

  10. Guidelines for the verification and validation of expert system software and conventional software: Volume 4, Evaluation of knowledge base certification methods. Final report

    International Nuclear Information System (INIS)

    Objective is the formulation of guidelines for the V ampersand V of expert systems for use in nuclear power applications. This activity is concerned with the development and testing of various methods for assuring the quality of knowledge bases. The testing procedure used was that of behavioral experiment, the first known such evaluation of any of V ampersand V activity; the value lies in the capability to provide empirical evidence for or against the effectiveness of plausible methods in helping people find problems in knowledge bases. The three-day experiment included 20 participants from three nuclear utilities, the Nuclear Regulatory Commission's Technical training Center, University of Maryland, EG ampersand G Idaho, and SAIC. The study used two real nuclear expert systems: a boiling water reactor emergency operating procedures tracking system and a pressurized water reactor safety assessment systems. Ten participants were assigned to each of the expert systems. All participants were trained in and then used a sequence of four different V ampersand V methods selected as being the best and most appropriate. These methods either involved the analysis and tracing of requirements to elements in the knowledge base or direct inspection of the knowledge base for various kinds of errors. Half of the subjects within each system group used the best annual variant of the V ampersand V methods (the control group), while the other half were supported by the results of applying real or simulated automated tools to the knowledge bases (the experimental group). The four groups of participants were similar in nuclear engineering and software experience characteristics. It is concluded that the use of tools in static knowledge base certification results in significant improvement in detecting all types of defects, avoiding false alarms, and completing the effort in less time. The simulated knowledge-checking tool, based on supplemental engineering information about the systems

  11. Expert system aided operator's mental activities training

    International Nuclear Information System (INIS)

    The operator's mental activity is the most important part of his work. A processing of a large amount of the information by the operator is possible only if he/she possesses appropriate cognitive skills. To facilitate the novice's acquisition of the experienced operator's cognitive skills of the decision-making process a special type of the expert system was developed. The cognitive engineering's models and problem-solving methodology constitutes the basis of this expert system. The article gives an account of the prototype of the mentioned expert system developed to aid the whole mental activity of the nuclear power plant operator during his decision-making process. (author). 6 refs, 6 figs

  12. A generic expert system for materials processing in space

    Science.gov (United States)

    Andersen, Kristinn; Cook, George E.; Strauss, Alvin M.

    1988-01-01

    A generic expert system is described for inspecting materials processed in space (MPS). The system may be applied, with the appropriate knowledge base, to any of the nondestructive testing methods (NDT) which are appropriate to MPS. Regardless of the method being used, the inspection process consists of three tasks: (1) signal or image processing of the NDT output and feature extraction, (2) interpretation of features in terms of MPS discontinuities, and (3) evaluation of the quality of the MPS based upon industry standards. In contrast to rule based systems, this system represents its knowledge as multidimensional vectors and appropriate functions on them. Currently, the expert system accepts manual input of observed features. Once the expert system has been tested and compared to human expert inspectors, a vision front-end will be developed to complete automation of the expert MPS inspection system, based on visual discontuities. Then the data base will be extended to include a variety of other NDT methods. In addition to functional performance, ease of use was established through menu window driven input as well as flexibility in building, using and modifying data bases for different applications.

  13. DIAGNOSTIC EXPERT SYSTEMS OF COMPUTER NETWORKS

    OpenAIRE

    Soloviev V.M.; Koldobanov J.V.

    2005-01-01

    In article questions of reception of the information on a technical status of the heterogeneous computer network and its use are considered at construction of diagnostic expert systems (DES). Results of article can be used at construction of network diagnostic systems.

  14. Developing a HACCP-like system for improving animal health and welfare in organic egg production - based on an expert panel analysis.

    Science.gov (United States)

    Hegelund, L; Sørensen, J T

    2007-08-01

    In the process of developing a generic Hazard Analysis and Critical Control Point (HACCP)-like system for securing animal health and welfare in organic egg production, an expert panel analysis was used to perform the initial hazard analysis. Eighteen advisers and researchers in organic egg production were included in the expert panel. In a series of four questionnaires, the expert panel first scored 34 health and welfare problems seen in Danish organic egg production. Based on scorings of severity and occurrence, 10 problems were selected for further analysis. The experts subsequently suggested and scored risk factors for those problems and finally suggested control points, alarm values indicating the need for corrective actions in order to control the risk factors and monitoring frequencies of these. The 10 selected problems were hunger, thirst, piling, crop impaction, blackhead, pasteurellosis, bone fractures, cannibalism, predators and red mites. A total of 154 different risk factors were suggested for these problems. The 41 risk factors which rated highest in a combined scoring of importance and occurrence were selected for further analysis. There was a high degree of consensus between experts when scoring both problems and risk factors. The level of consensus, as defined by an interquartile range 1, was 79% to 100% when scoring the health and welfare problems (scale 1-5) and 77% to 95% when scoring the risk factors (scale 1-4). On average, 5.8 control points were suggested for every risk factor. Alarm values were often not detailed enough to be of practical significance and further analysis is needed in order to define these. The experts were highly diverse in their suggested monitoring frequencies and establishment of monitoring schemes should be part of developing the farm specific systems. An expert panel analysis based on questionnaires was a useful tool during the first steps of developing a HACCP plan, conducting a hazard analysis and suggesting control

  15. Perspectives of expert systems for nuclear reactor safety

    International Nuclear Information System (INIS)

    There is a wide range of possible expert system applications in the field of nuclear reactor safety: - in the safety-oriented design review of reactor systems, here particularly for subsequent modifications indicated by operating experience; - for safety analyses, (nuclear plant analyser, fault free analysis); - for operational safety engineering including accident management (diagnostic systems); - for maintenance and training purposes. The potentials of expert systems are based on the following factors: storage of information in the knowledge base, efficient use of extensive data bases, intensive interactive mode operation, rapid development of prototypes. (orig./DG)

  16. A PRELIMINARY STUDY OF EXPERT SYSTEM FOR MINING UNDER STRUCTURES

    Institute of Scientific and Technical Information of China (English)

    吴侃; 何国清; 曹立明

    1991-01-01

    The expert system MUST (Mining Under Structures) shown in this paper and established by the authors is a preliminary expert system to solve the policy-making problems formining under structures by means of computers instead of humanbeing. Based on the experience of relative experts,the authors established a knowledge base about the minings under structures ,researched into reasonable method to simulate thinking processes of human experts when they are solvin8 the problems, established the network of an expert system and named it'MUST system'MUST system uses the method of the structural system analysis approach. A kind of methods of Turbo Prolog and Fortran 77 language alternations is designed to meet the needs of exchange information within the MUST system. Based on this kind of methods MUST system has been constructed and realised on IBM-PC computer. For verifying the correctness. suitability and reliablity of MUST system,some practical examples of minings under structures were tentatively solved using MUST system ,whose results are satisfactory.

  17. Industrial disasters - the expert systems solution

    International Nuclear Information System (INIS)

    Six mistakes by the operators led to the accident at the Cherobyl nuclear reactor. These have been studied. It is suggested that an expert systems approach could prevent similar accidents. The expert system is a new approach to software programming where programs are required to perform intelligent analyses of complex situations. It separates the knowledge of a problem from the procedural code that performs the decision. An expert system will evaluate data and indicate a priority on alarms in real time. Now software systems can detect the cause of a problem in a process plant and present their findings to the operators in the control room. This should enable operators to make the correct decisions as they will know which underlying process faults are causing the alarms to operate. The Chernobyl post-mortem meeting made 13 proposals for improving safety. Two in particular are noted as relevant to expert advice systems; international collaboration on man-reactor relationships and a conference to explore the balance of automation and human action to minimise operating errors. (U.K.)

  18. A study on the development of the on-line operator aid system using rule based expert system and fuzzy logic for nuclear power plants

    International Nuclear Information System (INIS)

    The on - line Operator Aid SYStem (OASYS) has been developed to support operator's decision making process and to ensure the safety of nuclear power plants (NPPs) by timely providing operators with proper guidelines according to the plant operation mode. The OASYS consists of four systems such as the signal validation and management system (SVMS), the plant monitoring system (PMS), the alarm filtering and diagnostic system (AFDS), and the dynamic emergency procedure tracking system (DEPTS). The SVMS and the PMS help operators to maintain a plant as a normal operation condition. The AFDS covers the abnormal events until they result in exceeding the limit range of reactor trip signals, while after a reactor trip, the DEPTS aids operators with proper guidelines so as to shutdown safely. The OASYS uses a rule based expert system and a fuzzy logic. The rule based expert system is used to classify the pre-defined events and track the emergency operating procedures (EOPs) through data processing. The fuzzy logic is used to generate the conceptual high level alarms for the prognostic diagnosis and to evaluate the qualitative fuzzy criteria used in EOPs. Performance assessment of the OASYS demonstrates that it is capable of diagnosing plant abnormal conditions and providing operators appropriate guidelines with fast response time and consistency. The developed technology for OASYS will be used to design the Integrated Advanced Control Room in which a plant can be operated by one operator during normal operation. The advanced EOP for emergency operation has been developed by focusing attention on the importance of the operators' role in emergency conditions. To overcome the complexity of current EOPs and maintain the consistency of operators' action according to plant emergency conditions, operator's tasks were allocated according to their duties in the advanced EOP and the computerized operator aid system (COAS) has been developed as an alternative to reduce operator

  19. Expert System For Diagnosis Of Skin Diseases

    Directory of Open Access Journals (Sweden)

    A.A.L.C. Amarathunga

    2015-01-01

    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.

  20. Expert systems for quality prediction in structural engineering

    OpenAIRE

    Cerrolaza Rivas, Miguel; Gómez Sedano, Benedicto; Alarcón Álvarez, Enrique

    1988-01-01

    This work deals with quality level prediction in concrete structures through the helpful assistance of an expert system wich is able to apply reasoning to this field of structural engineering. Evidences, hypotheses and factors related to this human knowledge field have been codified into a Knowledge Base in terms of probabilities for the presence of either hypotheses or evidences,and conditional presence of both. Human experts in structural engineering and safety of structures gave their inva...

  1. Real-time optical expert systems

    Science.gov (United States)

    McAulay, Alastair D.

    1987-05-01

    Optics has advantages for overcoming limitations arising when applying existing electronic technologies to real-time parallel computation. In particular, spatial light modulators (SLMs) permit simultaneous storage, multiplication, and/or complex interconnection. A simple expert uses an SLM crossbar switch to provide a flexible and fast implementation of combinatorial logic. A second expert system, illustrated using medical diagnosis, uses the Bayes theorem to update recursively the probabilities of various illnesses given additional symptom information. The a priori probability matrices are stored in SLMs which provide matrix-vector multiplication and interconnection. Computation of the best next symptom question is possible because of the high speed.

  2. EXPERT SYSTEMS SHOW PROMISE FOR CUSTOMER INQUIRIES

    Science.gov (United States)

    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...

  3. The First Generation of Marketing Expert Systems

    NARCIS (Netherlands)

    B. Wierenga (Berend)

    1990-01-01

    textabstractExpert systems, computer programs that combine knowledge from a specific domain with a general reasoning mechanism (inference engine) are a booming area. Successful applications are reported from a broad variety of industries: medicine, chemical industry, computer industry, financial and

  4. Expert System for Structural Analysis of Electrocardiograms

    OpenAIRE

    Kristina Krasovitskaya; Evgeny Cherkashin; Sergey Gorunchik; Denis Sidorov

    2016-01-01

    The paper deals with process of a cardiological expert system development. A definition of a electrocardiogram is presented. Problems of ECG characteristics determination such as ECG data digitizing is considered. A problem of QRS  complex recognition and P and T waves parameters measurement is discussed. A general outline of analysis technique for ECG using wavelet transformation are proposed.

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

    Science.gov (United States)

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

    1986-01-01

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

  6. Artificial Intelligence and Expert Systems in Medicine and Their Ability to Prediction as Therapy Planning Systems by CADIAG-2 Algorithm

    OpenAIRE

    Mohammad Madadpour Inallou; Zeinab Ajurlou; Bahman Mehri

    2012-01-01

    Expert Systems in Medicine is a collection, storage, retrieval, communication and processing of medical data for the purposes of interpretation, inference, decision-support, research and so other purposes in medicine. Expert System is an interactive computer-based decision tool that uses both facts and heuristics to solve difficult decision problems based on knowledge acquired from an expert. Expert systems provide expert advice and guidance in a wide variety of activities, from computer diag...

  7. Expert System Model for Educational Personnel Selection

    OpenAIRE

    Héctor A. Tabares-Ospina; Duvan A. Monsalve-Llano; Daniel Diez-Gomez

    2013-01-01

    The staff selection is a difficult task due to the subjectivity that the evaluation means. This process can be complemented using a system to support decision. This paper presents the implementation of an expert system to systematize the selection process of professors. The management of software development is divided into 4 parts: requirements, design, implementation and commissioning. The proposed system models a specific knowledge through relationships between variables evidence and objec...

  8. Expert System Model for Educational Personnel Selection

    Directory of Open Access Journals (Sweden)

    Héctor A. Tabares-Ospina

    2013-06-01

    Full Text Available The staff selection is a difficult task due to the subjectivity that the evaluation means. This process can be complemented using a system to support decision. This paper presents the implementation of an expert system to systematize the selection process of professors. The management of software development is divided into 4 parts: requirements, design, implementation and commissioning. The proposed system models a specific knowledge through relationships between variables evidence and objective.

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

    Directory of Open Access Journals (Sweden)

    Marius Kalinauskas

    2013-08-01

    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

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

    Directory of Open Access Journals (Sweden)

    Marius Kalinauskas

    2011-08-01

    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

  11. 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))

    1991-10-01

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

  12. Development of expert system for nuclear piping integrity

    International Nuclear Information System (INIS)

    The objective of this paper is to develop a nuclear piping integrity expert system (NPIES) for nuclear piping integrity. This paper describes the structure and the development strategy of the NPIES system. The NPIES system consists of five parts; user interface, database, knowledge base, expert and integrity evaluation parts. The user interface part is developed to connect the user and the NPIES system effectively. In the database part, nuclear piping material properties are stored; the unknown material properties are stored in the knowledge base part. Various rules for inferring material properties are stored in the knowledge base part. The most appropriate evaluation method for a given input condition is recommended in the expert part. Finally, the integrity evaluation part is developed for the evaluation of piping integrity effectively. (orig.)

  13. A study of diagnostics expert system for accelerator applications

    International Nuclear Information System (INIS)

    Knowledge based techniques are proving to be useful in a number of problem domains which typically requires human expertise. Expert systems employing knowledge based techniques are a recent product of artificial intelligence. Methods developed in the artificial intelligence area can be applied with success for certain classes of problems in accelerator. Accelerators are complex devices with thousands of components. The number of possible faults or problems that can appear is enormous. A diagnostics expert system can provide great help in finding and diagnosing problems in Indus-II accelerator sub-systems. (author)

  14. An Expert System in FRP Composite Material Design

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    An expert system prototype for fibre-reinforced plastic matrix (FRP) composite material design,ESFRP, has been developed. The system consists of seven main functional parts: a general inference engine, a set of knowledge bases, a material properties algorithm base, an explanation engine, various data bases, several function models and the user interface. The ESFRP can simulate human experts to make design scheme for fibre-reinforced plastics design, FRP layered plates design and FRP typical engineering components design. It can also predict the material properties and make strength analysis according to the micro and macro mechanics of composite materials. A satisfied result can be gained through the reiterative design.

  15. Expert system for generating fuel movement procedures

    International Nuclear Information System (INIS)

    Commercial nuclear power reactors are required by federal law and their operating license to track and control the movement of nuclear fuel. Planning nuclear fuel movements during a refueling outage by hand is a tedious process involving an initial state and final state separated by physical and administrative constraints. Since the initial and final states as well as all constraints are known, an expert computer system for planning this process is possible. Turkey Point station worked with the Electric Power Research Institute (EPRI)-selected vendor to implement such a system. Over the course of a 2-yr period, the EPRI Fuel Shuffle Planning System evolved from a high-tech word processor to an expert system capable of planning all fuel movement sequences required to refuel a nuclear reactor core. Turkey Point site is composed to two pressurized water reactor units owned and operated by Florida Power and Light Company

  16. A framework for real time expert systems

    International Nuclear Information System (INIS)

    Development of real time and on-line expert systems for diagnosis and prediction is a complex and ambitious goal. Rather than in the system itself, the complexity of the task is reflected in the advanced information models it requires. Therefore, the system lends itself to less ambitious yet very useful applications long desired by plant engineers and operators. One such application is post-trip analysis which reduces the amount of time necessary to determine whether or not a plant can be restarted after a trip; this analysis also determines if all automatic functions have been executed as intended. The paper shows how a task such as post-trip analysis can be embedded in the larger framework of expert systems and why this is a desirable way of development. Also, the exploration of speech recognition and speech output techniques for the man-machine interface is discussed. (author). 6 refs, 2 figs

  17. Processes in construction of failure management expert systems from device design information

    Science.gov (United States)

    Malin, Jane T.; Lance, Nick

    1987-01-01

    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.

  18. Failure diagnostic expert systems for fast reactors

    International Nuclear Information System (INIS)

    The aim of SYSTEME EXPERT is to permit diagnostics of one (or more) casual failure of the ''ultimate resort cooling'' (RUR) (including monitoring or control sensor failures) from data given (or not) by the various sensors or by the classical alarm systems. It comprises the following modules: an interface (in French) for information acquisition with possible suppression of the rules, a demonstrator of SL-resolution type, a data incoherence test an inverse interface for listing the collections

  19. An expert system for logistics force development

    OpenAIRE

    Chadwick, Robert Lawrence

    1987-01-01

    Approved for public release; distribution is unlimited The purpose of this research is to show the feasibility of an expert system to aid logistics planners in determining the types and numbers of logistics units needed to support corps contingency plans. The proposed system represents the domain knowledge of logistics planners as rules and uses backwards chaining to infer the types and numbers of logistics units needed. Next a chain of command, represented as a tree diagram...

  20. REXS : A financial risk diagnostic expert system

    OpenAIRE

    Richter, W; P.S. Kruger

    2012-01-01

    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 deci...

  1. Diagnostic expert system in the PF LINAC

    International Nuclear Information System (INIS)

    A prototype diagnostic expert system (ES) was developed for the Photon Factory 2.5-GeV electron/positron LINAC injector system. The ES has been on-lined with the conventional linac computer network for receiving real data. This project was undertaken in an attempt to reduce the linac operator's mental workload, diagnosis duties, and to explore Artificial Intelligence (AI) technologies. The outlook for ES and its problems, and what has been achieved are outlined in this presentation. (author)

  2. SWAN: An expert system with natural language interface for tactical air capability assessment

    Science.gov (United States)

    Simmons, Robert M.

    1987-01-01

    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.

  3. An expert system framework for nondestructive waste assay

    International Nuclear Information System (INIS)

    Management and disposition of transuranic (RU) waste forms necessitates determining entrained RU and associated radioactive material quantities as per National RU Waste Characterization Program requirements. Technical justification and demonstration of a given NDA method used to determine RU mass and uncertainty in accordance with program quality assurance is difficult for many waste forms. Difficulties are typically founded in waste NDA methods that employ standards compensation and/or employment of simplifying assumptions on waste form configurations. Capability to determine and justify RU mass and mass uncertainty can be enhanced through integration of waste container data/information using expert system and empirical data-driven techniques with conventional data acquisition and analysis. Presented is a preliminary expert system framework that integrates the waste form data base, alogrithmic techniques, statistical analyses, expert domain knowledge bases, and empirical artificial intelligence modules into a cohesive system. The framework design and bases in addition to module development activities are discussed

  4. Employing expert systems for process control

    International Nuclear Information System (INIS)

    The characteristic features of expert systems are explained in detail, and the systems' application in process control engineering. Four points of main interest are there, namely: Applications for diagnostic tasks, for safety analyses, planning, and training and expert training. For the modelling of the technical systems involved in all four task fields mentioned above, an object-centred approach has shown to be the suitable method, as process control techniques are determined by technical objects that in principle are specified by data sheets, schematic representations, flow charts, and plans. The graphical surface allows these data to be taken into account, so that the object can be displayed in the way best suited to the individual purposes. (orig./GL)

  5. Expert systems for protective monitoring of facilities

    International Nuclear Information System (INIS)

    In complex plants, the possibility of serious operator error always exists to some extent, but, this can be especially true during an experiment or some other unusual exercise. Possible contributing factors to operational error include personnel fatigue, misunderstanding in communication, mistakes in executing orders, uncertainty about the delegated authority, pressure to meet a demanding schedule, and a lack of understanding of the possible consequences of deliberate violations of the facility's established operating procedures. Authoritative reports indicate that most of these factors were involved in the disastrous Russian Chernobyl-4 nuclear reactor accident in April 1986, which, ironically, occurred when a safety experiment was being conducted. Given the computer hardware and software now available for implementing expert systems together with integrated signal monitoring and communications, plant protection could be enhanced by an expert system with extended features to monitor the plant. The system could require information from the operators on a rigidly enforced schedule and automatically log in and report on a scheduled time basis to authorities at a central remote site during periods of safe operation. Additionally, the system could warn an operator or automatically shut down the plant in case of dangerous conditions, while simultaneously notifying independent, responsible, off-site personnel of the action taken. This approach would provide protection beyond that provided by typical facility scram circuits. This paper presents such an approach to implementing an expert system for plant protection, together with specific hardware and software configurations. The Chernobyl accident is used as the basis of discussion

  6. DEVELOPMENT OF AN EXPERT SYSTEM FOR DIAGNOSIS MALFUNCTIONS OF ENGINES OF DIESEL POWER STATIONS

    Directory of Open Access Journals (Sweden)

    Laptev V. N.

    2015-12-01

    Full Text Available The article considers development of expert system based on semantic networks for diagnosis malfunctions of the diesel power stations engines. The method allows developing expert systems via objectoriented programming language. The expert system allows to identify the problem without involving additional staff: at the start and overheats of the engine, when there is low power, with decreasing pressure etc

  7. Expert evaluation in NPP safety important systems licensing process

    International Nuclear Information System (INIS)

    Expert evaluation of nuclear power plant safety important systems modernization is an integral part of these systems licensing process. The paper contains some aspects of this evaluation which are based on Ukrainian experience of VVER-1000 and VVER-440 modernization. (authors)

  8. THE PROJECT OF THE EXPERT SYSTEM TO SUPPORTING OF SELECTION OF PARTS AND ASSEMBLIES OF MACHINES

    OpenAIRE

    Sebastian RZYDZIK

    2014-01-01

    This paper the design of the expert system that supports mechanical engineer in the process of selecting the parts and assemblies was presented. In the description of the proposed expert system, was made reference to the general form of such systems, that consist of such components as: user interface, inference engine, knowledge base and database. It also, scenario that describes the steps of the use of the proposed expert system was presented. Finally, an example of the use the expert syste...

  9. The role of human-at-work systems in business sustainability: perspectives based on expert and qualified production workers in a manufacturing enterprise.

    Science.gov (United States)

    Genaidy, Ash M; Rinder, Maria M; Sequeira, Reynold; A-Rehim, Amal

    2010-04-01

    and enterprise levels, in terms of organisational/social/technological environment. This is particularly noted for the organisational environment. The compatibility values obtained for the experienced domains mirror those obtained for acting domains. The overall workload was assessed as requiring major redesign during the day shift and needing added responsibilities for the night shift according to both expert and qualified workers. The assessment of qualified workers is comparable with that of expert workers for the job content and immediate surroundings. Differences are more observed for process- and enterprise-based factors; thereby, providing company management different perspectives in order to devise organisational strategies conducive for optimum human and corporate health and pointing to the probable interactions of the different systems impacting individual and enterprise performance. STATEMENT OF RELEVANCE: This research examines similarities and differences between qualified and expert workers in their assessment of the worker-work environment interface. The contribution to improved understanding of the complex interactions of human-at-work and enterprise systems should be beneficial to organisations in their quest to remain competitive in a global economy. PMID:20309751

  10. Expert system for control of anaerobic digesters.

    Science.gov (United States)

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

    1998-04-01

    Continuous anaerobic digesters are systems that present challenging control problems including the possibility that an unmeasured disturbance can change the sign of the steady-state process gain. An expert system is developed that recognizes changes in the sign of process gain and implements appropriate control laws. The sole on-line measured variable is the methane production rate, and the manipulated input is the dilution rate. The expert system changes the dilution rate according to one of four possible strategies: a constrained conventional set-point control law, a constant yield control law (CYCL) that is nearly optimal for the most common cause of change in the sign of the process gain, batch operation, or constant dilution rate. The algorithm uses a t test for determining when to switch to the CYCL and returns to the conventional set-point control law with bumpless transfer. The expert system has proved successful in several experimental tests: severe overload; mild, moderate, and severe underload; and addition of phenol in low and high levels. Phenol is an inhibitor that in high concentrations changes the sign of the process gain. PMID:10099257

  11. STUDY OF A FAULT DIAGNOSIS EXPERT SYSTEM FOR SYNTHETIC MINING SYSTEM HYDRAULIC SUPPORT

    Institute of Scientific and Technical Information of China (English)

    Han Yilun

    2000-01-01

    Fault diagnosis expert system for hydraulic support is studied.The system is achieved by Turbo-prolong Language, it summaries the experience of the domain expert and sets up a fault tree, knowledge base is developed by a productive rule.According to the feature of diagnosis, the system selects forward non-determination inferring and limited depth-first search strategy.It can accomplish expert diagnosis of more than 50 kinds faults in hydraulic support.

  12. Yarn Strength Modelling Using Fuzzy Expert System

    Directory of Open Access Journals (Sweden)

    Abhijit Majumdar, Ph.D.

    2008-12-01

    Full Text Available Yarn strength modelling and prediction has remained as the cynosure of research for the textile engineers although the investigation in this domain was first reported around one century ago. Several mathematical, statistical and empirical models have been developed in the past only to yield limited success in terms of prediction accuracy and general applicability. In recent years, soft computing tools like artificial neural networks and neural-fuzzy models have been developed, which have shown remarkable prediction accuracy. However, artificial neural network and neural-fuzzy models are trained using enormous amount of noise free input-output data, which are difficult to collect from the spinning industries. In contrast, fuzzy logic based models could be developed by using the experience of the spinner only and it gives good understanding about the roles played by various inputs on the outputs. This paper deals with the modelling of ring spun cotton yarn strength using a simple fuzzy expert system. The prediction accuracy of the model was found to be very encouraging.

  13. Quality assurance expert system for car cylinder casting

    Institute of Scientific and Technical Information of China (English)

    梁维中; 张莉; 马旭梁; 刘洪德; 周秀华

    2001-01-01

    A quality assurance expert system, ZJSYS, has been developed for car cylinder casting by use of artificial intelligence technology and C ++ for windows. The important feature of this expert system is that it draws not only qualitative conclusions but also quantitative ones in the therapy of defects. ZJSYS uses an expert reasoning strategy based on the rule models with the certainty factor. Reasoning strategy combines forward chaining and backward chaining together to perform qualitative analysis of defects. Meanwhile quantitative analysis of defects is completed by use of mathematical statistics and the principle of optimum. Management system that possesses the functions of adding, modifying and deleting was developed in knowledge base. To meet the practical requirements, the management model of data storage and statistics were developed. Actual run of ZJSYS showed that it played a significant role in improving product quality and reduce rejection ratio.

  14. Progress of Expert Systems in Electromagnetic Engineering

    Institute of Scientific and Technical Information of China (English)

    LAI Sheng-jian; WANG Bing-zhong

    2005-01-01

    It is urgent to solve various problems in electromagnetic (EM) engineering under the increasingly complicated environment. Some expert systems (ES) come into being just to keep up with the demand for solving these problems. Combined with the analysis of development of ES technology and the development trend of EM engineering software in recent years, the application of ES technology in EM engineering is discussed, and especially the progress of complete ES in electromagnetic compatible (EMC) is introduced.

  15. Helping Domain Experts Build Speech Translation Systems

    OpenAIRE

    Rayner, Manny; Armando, Alejandro; Bouillon, Pierrette; Ebling, Sarah; Gerlach, Johanna; Halimi, Sonia; Strasly, Irene; Tsourakis, Nikos

    2015-01-01

    We present a new platform, "Regulus Lite", which supports rapid development and web deployment of several types of phrasal speech translation systems using a minimal formalism. A distinguishing feature is that most development work can be performed directly by domain experts. We motivate the need for platforms of this type and discuss three specific cases: medical speech translation, speech-to-sign-language translation and voice questionnaires. We briefly describe initial experiences in devel...

  16. DEVELOPING EXPERT DECISION SUPPORT SYSTEM WTH VP-EXPERT AND LOTUS 1-2-3 IN RE -BLENDING BY USE

    Institute of Scientific and Technical Information of China (English)

    舒航; 杨鹏

    1994-01-01

    An expert decision support system (EDSS) for multi-bins balance and control of ore quality in production ore bins of some large-scale open pit iron mine in China has been developed by expert system tool software VP-EXPERT and integration software LOTUS 1-2-3 in this paper. It is known by practicing that a medium-scale EDSS constructed on microcomputer is completely feasible by means of VP-EXEPERT to construct knowledge base system (KBS), LOTUS 1-2-3 to make decision support system (DSS) and link them with BAT.

  17. Design and Implementation of an Expert Diet Prescription System

    Directory of Open Access Journals (Sweden)

    Lawal Mohammed Ma’aruf

    2012-10-01

    Full Text Available Expert Diet Prescription System (EDPS is proposed to identify an ailment by its name or symptoms, and return a result prescribing an appropriate diet corresponding to that ailment. The system has three access levels to the database, the; patient, doctor and an administrator. A database was created consisting of Seven known ailments, these ailments includes; Cancer, Diabetes, Measles, Cholera, Malaria, Goiter and Enlarged heart disease. The knowledge base for the database created was obtained from the experts. Wamp server, PHP and MYSQL and code charge studio was used to design the database, interface and graphics for the system. The introduction of expert diet system has become very necessary because of the long term devastating effect of drugs either as a result of drug abuse or its reaction on certain patient with exceptional cases. This will readdress the issue of adverse reaction of drugs, by the use of food/fruit as an alternative treatment to drugs.

  18. Component aging evaluation with expert systems

    International Nuclear Information System (INIS)

    The age degradation of components involves a complex relationship between a variety of variables. These relationships are typically modeled using probabilistic and deterministic analyses. These methods depend upon a formal understanding of the underlying degradation mechanisms and a database of experience which allows statistical analyses to extract numerical trends. At present, not all age degradation mechanisms are adequately modeled and available data for age degradation is in most cases insufficient. In addition, these methods tend to focus upon answers to isolated questions (e.g., What is the component failure rate?) rather than the more pertinent questions concerning operations and maintenance (e.g., should the component be replaced at the next outage). Fortunately, knowledge in the form of personal experience does exist which allows plant personnel to make decisions concerning operations and maintenance. This knowledge can be modeled using expert systems. This paper discusses CAGES (Component Aging Expert System). It combines expert rules (heuristics), probabilistic models, and deterministic models to make evaluations of component aging; predict the implications for component life extension, operational readiness, maintenance effectiveness, and safety, and make recommendations for maintenance and operation

  19. The Study of Expert System Utilization for the Accelerator Operation

    International Nuclear Information System (INIS)

    The utilization of expert system in the accelerator laboratory has been studied. The study covers the utilization of expert system in the setting up experiment (tuning parameter), controlling system, safety or warning system. The results study shows, that using the expert system in the accelerator would be easy to operate the accelerator for user and operator. Increasing the skill of expert system could be updated without logical mechanism modification. (author)

  20. 基于主动推送的专家咨询系统开发%Development of the Expert Consulting System based on Active Push

    Institute of Scientific and Technical Information of China (English)

    武大愚; 王志华

    2015-01-01

    在互联网快速发展的局势下,借助不同领域专家知识可以快速解决工作中遇到的问题。本文在查阅大量资料的基础上,根据专家咨询系统要求,构建了咨询系统三层架构及系统结构,定义了数据表和数据操作流程,完成了结构设计和功能模块划分,建立了各数据库实体联系图和逻辑结构。采用PHP脚本语言、MySQL数据库、JSP、HTML和CSS技术,实现了专家咨询系统基本功能。%The Internet is developing rapidly. Under this background, people will be able to solve questions in their works quickly with the helping of the expert knowledge within different areas. Based on lots of information and the requirements of the expert consulting system, it builds the three layers of the system and system structure, defines the data table and the process of the operation, completes the design of the structure and the partition of the functional models. After that, it also builds the entity relationship diagram and logic structure. Using PHP script language, MySQL Database, JSP, HTML and CSS technology realizes the basic function of the expert consulting system.

  1. A method for knowledge acquisition in diagnostic expert system.

    Science.gov (United States)

    Li, Weishi; Li, Aiping; Li, Shudong

    2015-01-01

    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. PMID:26410329

  2. Introducing a Method for Modeling Knowledge Bases in Expert Systems Using the Example of Large Software Development Projects

    OpenAIRE

    Franz Felix Füssl; Detlef Streitferdt; Weijia Shang; Anne Triebel

    2015-01-01

    Goal of this paper is to develop a meta-model, which provides the basis for developing highly scalable artificial intelligence systems that should be able to make autonomously decisions based on different dynamic and specific influences. An artificial neural network builds the entry point for developing a multi-layered human readable model that serves as knowledge base and can be used for further investigations in deductive and inductive reasoning. A graph-theoretical consideration gives a de...

  3. An Approach for Developing Uncertain Multi-perspective Expert System Using the Algebraic Sum Method

    Directory of Open Access Journals (Sweden)

    Musbah J. Aqel

    2006-01-01

    Full Text Available A multi-perspective expert system approach based on algebraic sum method was developed to deal with uncertain knowledge and provides different perspectives for different experts while dealing with single knowledge base according to experts' interests. However, assertion value for each perspective is calculated and by using the algebraic summation method a conclusion can be determined.

  4. An Approach for Developing Uncertain Multi-perspective Expert System Using the Algebraic Sum Method

    OpenAIRE

    Musbah J. Aqel

    2006-01-01

    A multi-perspective expert system approach based on algebraic sum method was developed to deal with uncertain knowledge and provides different perspectives for different experts while dealing with single knowledge base according to experts' interests. However, assertion value for each perspective is calculated and by using the algebraic summation method a conclusion can be determined.

  5. Perspectives of expert systems in the field of reactor safety

    International Nuclear Information System (INIS)

    The furure potential of expert systems is based on the following factors: the efficient storage of information in the knowledge basis, the efficient use of comprehensive information bases, the interactive approach, the rapid production of prototypes. The main problems which are encountered at present relate to the input of knowledge derived from experience, the qualification of the contents of the knowledge bases and to the interfacing to technical processes, as real time work is required in such cases. However, the practical use of expert systems in reactor safety is expected to make considerable progress. The following preferred fields should be mentioned: knowledge bases and analysis tools for safety investigations, diagnostic and practising systems for safe operation and, above all in the field of accident management, trainers, in-situ guiding systems or information systems in supraregional guiding centers. (orig./DG)

  6. Designing Expert System for Detecting Faults in Cloud Environment

    Directory of Open Access Journals (Sweden)

    Marzieh Shabdiz

    2013-11-01

    Full Text Available Many fault detection techniques for detecting faults in rule bases system have appeared in the literature. These techniques assume that the rule base is static. This paper presents a new approach by designing Expert system for detecting faults in dynamic environment, such as cloud. Cloud resources are usually not only shared by multiple users but are also dynamically re-allocated per demand. Therefore, rules may be added/deleted in response to certain events happening in the integrated system being controlled by the rules. The approach makes use of spanning trees and Complementary sets to check a dynamic rule base for different kinds of faults underlying directed graph and devises a new method with scripting language on web based tools. This is performed as rules are being added to the dynamic rule base one at a time without the need to rebuild the structures and update rules and paths by expert system.

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

    Directory of Open Access Journals (Sweden)

    K. Záliš

    2000-01-01

    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.

  8. SEPI an expert system for plant design

    International Nuclear Information System (INIS)

    The availability and suitability of technological information is of great importance in every kind of design task, especially when safety and reliability considerations are involved. In this paper an ''expert system for plant design'' (SEPI), is presented, together with its first application to nuclear back-end plants. This system is available on ENEA computer network. It is thought to be used both to collect know-how developed in the field and to assist unskilled designers during selection, evaluation and dimensioning tasks. It attemps to reproduce the normal way of ''reasoning'' and acting, and provides some graphic facilities

  9. The UK system of recognising qualified experts

    International Nuclear Information System (INIS)

    EURATOM Basic Safety Standards (BSS) Directives have long included requirements for the involvement of qualified experts, the definition of which has scarcely changed since at least 1976. The Directive requirement, in the definition of qualified expert,, for competent authorities to recognise the capacity to act as a qualified expert has been interpreted by Member States in widely differing ways, ranging from the minimalist or case by case to the highly detailed and prescriptive. In the United Kingdom (UK), the qualified expert for occupational radiation protection is the radiation protection adviser and the competent authority is the Health and Safety Executive (HSE). The Ionising Radiations Regulations 1985, which largely implemented the 1980 BSS Directive, required an employer to appoint one or more radiation protection advisers for the purpose of advising him as to the observance of these Regulations and other health and safety matters in connection with ionising radiation. The Regulations addressed the question of recognition by forbidding an employer to appoint a person as a radiation protection adviser unless: that person was suitably qualified and experienced; the employer had notified the Health and Safety Executive in writing of the intended appointment at least 28 days in advance, giving the name of the person and particulars of his qualifications and experience and the scope of the advice he would be required to give; and the employer had received from HSE an acknowledgement in writing of the notification. This system allowed HSE to follow up and query any apparently unsuitable potential appointments while applying a light overall administrative touch. The Approved Code of Practice supporting the Regulations included advice on the qualifications, experience and qualities that the employer should look for in a suitable radiation protection adviser

  10. An expert system to estimate SNM production at LWR systems

    International Nuclear Information System (INIS)

    An artificial intelligence expert system, analysis of proliferation by expert system (APES), has been developed and tested to permit a nonexpert to quickly evaluate the capabilities and capacities of a reactor and reprocessing system for producing and separating plutonium [special nuclear material (SNM)] even when system information may be limited and uncertain. The present analysis domain of APES is directed at light water reactors and Purex reprocessing, but extension of the domain is planned

  11. Dynamics of expert adjustment to model-based forecast

    NARCIS (Netherlands)

    Ph.H.B.F. Franses (Philip Hans); R. Legerstee (Rianne)

    2007-01-01

    textabstractExperts often add domain knowledge to model-based forecasts while aiming to reduce forecast errors. Indeed, there is some empirical evidence that expert-adjusted forecasts improve forecast quality. However, surprisingly little is known about what experts actually do. Based on a large and

  12. Expert-System Consultant To Operating Personnel

    Science.gov (United States)

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

    1992-01-01

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

  13. Expert system shell to reason on large amounts of data

    Science.gov (United States)

    Giuffrida, Gionanni

    1994-01-01

    The current data base management systems (DBMS's) do not provide a sophisticated environment to develop rule based expert systems applications. Some of the new DBMS's come with some sort of rule mechanism; these are active and deductive database systems. However, both of these are not featured enough to support full implementation based on rules. On the other hand, current expert system shells do not provide any link with external databases. That is, all the data are kept in the system working memory. Such working memory is maintained in main memory. For some applications the reduced size of the available working memory could represent a constraint for the development. Typically these are applications which require reasoning on huge amounts of data. All these data do not fit into the computer main memory. Moreover, in some cases these data can be already available in some database systems and continuously updated while the expert system is running. This paper proposes an architecture which employs knowledge discovering techniques to reduce the amount of data to be stored in the main memory; in this architecture a standard DBMS is coupled with a rule-based language. The data are stored into the DBMS. An interface between the two systems is responsible for inducing knowledge from the set of relations. Such induced knowledge is then transferred to the rule-based language working memory.

  14. Spacelab Life Sciences-1 electrical diagnostics expert system

    Science.gov (United States)

    Kao, Cheng Y.; Morris, William S.

    1989-01-01

    The Spacelab Life Sciences-1 (SLS-1) Electrical Diagnostic (SLED) expert system is a continuous real time knowledge-based system to monitor and diagnose electrical system problems in the Spacelab. After fault isolation, the SLED system provides corrective procedures and advice to the ground-based console operator. The SLED system updates its knowledge about the status of Spacelab every 3 seconds. The system supports multiprocessing of malfunctions and allows multiple failures to be handled simultaneously. Information which is readily available via a mouse click includes: general information about the system and each component, the electrical schematics, the recovery procedures of each malfunction, and an explanation of the diagnosis.

  15. Spacelab Life Sciences-1 electrical diagnostic expert system

    Science.gov (United States)

    Kao, C. Y.; Morris, W. S.

    1989-01-01

    The Spacelab Life Sciences-1 (SLS-1) Electrical Diagnostic (SLED) expert system is a continuous, real time knowledge-based system to monitor and diagnose electrical system problems in the Spacelab. After fault isolation, the SLED system provides corrective procedures and advice to the ground-based console operator. The SLED system updates its knowledge about the status of Spacelab every 3 seconds. The system supports multiprocessing of malfunctions and allows multiple failures to be handled simultaneously. Information which is readily available via a mouse click includes: general information about the system and each component, the electrical schematics, the recovery procedures of each malfunction, and an explanation of the diagnosis.

  16. An Expert Fault Diagnosis System for Vehicle Air Conditioning Product Development

    Science.gov (United States)

    Tan, C. F.; Tee, B. T.; Khalil, S. N.; Chen, W.; Rauterberg, G. W. M.

    2015-09-01

    The paper describes the development of the vehicle air-conditioning fault diagnosis system in automotive industries with expert system shell. The main aim of the research is to diagnose the problem of new vehicle air-conditioning system development process and select the most suitable solution to the problems. In the vehicle air-conditioning manufacturing industry, process can be very costly where an expert and experience personnel needed in certain circumstances. The expert of in the industry will retire or resign from time to time. When the expert is absent, their experience and knowledge is difficult to retrieve or lost forever. Expert system is a convenient method to replace expert. By replacing the expert with expert system, the accuracy of the processes will be increased compared to the conventional way. Therefore, the quality of product services that are produced will be finer and better. The inputs for the fault diagnosis are based on design data and experience of the engineer.

  17. WES: A well test analysis expert system

    International Nuclear Information System (INIS)

    This report describes part of the development of an expert system in the domain of well-test analysis. This work has been done during my final internship, completed at the Lawrence Berkeley Laboratory. The report is divided in three parts: the first one gives a description of the state of the project at the time I first began to work on it, and raises some problems that have to be solved. The second section shows the results that have been reached, and the last one draws conclusions from these results and proposes extensions that would be useful in the future

  18. Criteria for the CAREM reactor's expert system design conduction

    International Nuclear Information System (INIS)

    The present work describes the analysis made to start with the development of an Expert System for the CAREM (SE) reactor's conduction. The following tasks are presented: a) purpose of the Expert System; b) Decision Making structure; c) Architecture of the Expert System; d) Description of Subsystems and e) Licensing. (Author)

  19. MAESTRO -- A Model and Expert System Tuning Resource for Operators

    International Nuclear Information System (INIS)

    We have developed MAESTRO, a Model And Expert System Tuning Resource for Operators. It provides a unified software environment for optimizing the performance of large, complex machines, in particular the Advanced Test Accelerator and Experimental Test Accelerator at Lawrence Livermore National Laboratory. The system incorporates three approaches to tuning: a mouse-based manual interface to select and control magnets and to view displays of machine performance; an automation based on ''cloning the operator'' by implementing the strategies and reasoning used by the operator; an automation based on a simulator model which, when accurately matched to the machine, allows downloading of optimal sets of parameters and permits diagnosing errors in the beamline. The latter two approaches are based on the Artificial Intelligence technique known as Expert Systems. 4 refs., 4 figs

  20. MAESTRO - a model and expert system tuning resource for operators

    International Nuclear Information System (INIS)

    We have developed MAESTRO, a model and expert system tuning resource for operators. It provides a unified software environment for optimizing the performance of large, complex machines, in particular the Advanced Test Accelerator and Experimental Test Accelerator at Lawrence Livermore National Laboratory. The system incorporates three approaches to tuning: a mouse-based manual interface to select and control magnets and to view displays of machine performance; an automation based on 'cloning the operator' by implementing the strategies and reasoning used by the operator; and an automation based on a simulator model which, when accurately matched to the machine, allows downloading of optimal sets of parameters and permits diagnosing errors in the beam line. The latter two approaches are based on the artificial-intelligence technique known as Expert Systems. (orig.)

  1. DESIGN OF AN EXPERT CONTROL SYSTEM FOR LEACHING PROCESS

    Institute of Scientific and Technical Information of China (English)

    1999-01-01

    One important step in zinc hydrometallurgy is the leaching process, which involves the dissolving of zinc-bearing material in dilute sulfuric acid to form zinc sulfate solution. The key problem in the process control is to determine the optimal pHs of the overflows of the continuous leaches and track them. An expert control system for the leaching process was designed to solve the key problem. A methodology is proposed for determining and tracking the optimal pHs with an expert control strategy based on a combination of steadystate mathematical models and rule models of the process.

  2. Introducing a Method for Modeling Knowledge Bases in Expert Systems Using the Example of Large Software Development Projects

    Directory of Open Access Journals (Sweden)

    Franz Felix Füssl

    2015-12-01

    Full Text Available Goal of this paper is to develop a meta-model, which provides the basis for developing highly scalable artificial intelligence systems that should be able to make autonomously decisions based on different dynamic and specific influences. An artificial neural network builds the entry point for developing a multi-layered human readable model that serves as knowledge base and can be used for further investigations in deductive and inductive reasoning. A graph-theoretical consideration gives a detailed view into the model structure. In addition to it the model is introduced using the example of large software development projects. The integration of Constraints and Deductive Reasoning Element Pruning are illustrated, which are required for executing deductive reasoning efficiently.

  3. An alphabet for statisticians' expert systems

    International Nuclear Information System (INIS)

    By 1995 or so, the largest single driving force in guiding general work on data analysis and statistics is going to be the needs that have to be met to understand and improve data-analytic expert systems, although systems to supporting data-planning may prove almost as difficult. These are the systems that ''will try men's souls'' in planning and implementation, and they will be the work horses that will make effective data analysis and more reasonable data planning possible for a hundred or a thousand times as many people as ever before. Both in their impact on the theorist and in their impact on effective data analysis it will not be overblown language to call them all-important. They will ameliorate, not be cure-alls. But they are the only hope of connecting a slowly growing population of professional data analysts and statisticians to a rapidly growing population of data that requires analysis

  4. Spatial xenon oscillation control with expert systems

    International Nuclear Information System (INIS)

    Spatial power oscillations were attributed to the xenon transients in a reactor core in 1958 by Randall and St. John. These transients are usually initiated by a local reactivity insertion and lead to divergent axial flux oscillations in the core at constant power. Several heuristic manual control strategies and automatic control methods were developed to damp the xenon oscillations at constant power operations. However, after the load-follow operation of the reactors became a necessity of life, a need for better control strategies arose. Even though various advanced control strategies were applied to solve the xenon oscillation control problem for the load-follow operation, the complexity of the system created difficulties in modeling. The strong nonlinearity of the problem requires highly sophisticated analytical approaches that are quite inept for numerical solutions. On the other hand, the complexity of a system and heuristic nature of the solutions are the basic reasons for using artificial intelligence techniques such as expert systems

  5. A study on expert system applications for nuclear power plant

    International Nuclear Information System (INIS)

    The application of artificial intelligence techniques to nuclear power plants such as expert systems is rapidly emerging. expert systems can contribute significantly to the availability and the improved operation and safety of nuclear power plants. The objective of the project is to develop an expert system in a selected application area in the nuclear power plants. This project will last for 3 years. The first year's tasks are: - Information collection and literature survey on expert systems. - Analysis of several applicable areas for applying AI technologies to the nuclear power plants. - Conceptual design of a few selected domains. - Selection of hardware and software tools for the development of the expert system

  6. Application of fuzzy expert system on LILW performance assessment

    International Nuclear Information System (INIS)

    A complete LILW repository performance assessment requires the involvement between several experts in many fields of science. Many sources of uncertainties arise due to complexity of interaction of environmental parameters, lack of data and ignorance, this makes predictive analysis and interpretation difficult. This difficulty in understanding the impact of the ambiguities is even higher when it comes to public and decision makers involvement. Traditional methods of data analysis, while having strong mathematical basis, many times are not adequate to deal with ambiguous data. These ambiguities can be an obstacle to make the results easier to understand and defensible. A methodology of decision making, based on fuzzy logic, can help the interaction between experts, decision makers and the public. This method is the basis of an expert system which can help the analysis of very complex and ambiguous processes. (author)

  7. Investigation of an expert health monitoring system for aeronautical structures based on pattern recognition and acousto-ultrasonics

    Science.gov (United States)

    Tibaduiza-Burgos, Diego Alexander; Torres-Arredondo, Miguel Angel

    2015-08-01

    Aeronautical structures are subjected to damage during their service raising the necessity for periodic inspection and maintenance of their components so that structural integrity and safe operation can be guaranteed. Cost reduction related to minimizing the out-of-service time of the aircraft, together with the advantages offered by real-time and safe-life service monitoring, have led to a boom in the design of inexpensive and structurally integrated transducer networks comprising actuators, sensors, signal processing units and controllers. These kinds of automated systems are normally referred to as smart structures and offer a multitude of new solutions to engineering problems and multi-functional capabilities. It is thus expected that structural health monitoring (SHM) systems will become one of the leading technologies for assessing and assuring the structural integrity of future aircraft. This study is devoted to the development and experimental investigation of an SHM methodology for the detection of damage in real scale complex aeronautical structures. The work focuses on each aspect of the SHM system and highlights the potentialities of the health monitoring technique based on acousto-ultrasonics and data-driven modelling within the concepts of sensor data fusion, feature extraction and pattern recognition. The methodology is experimentally demonstrated on an aircraft skin panel and fuselage panel for which several damage scenarios are analysed. The detection performance in both structures is quantified and presented.

  8. Implementation of an Intelligent Course Advisory Expert System

    Directory of Open Access Journals (Sweden)

    Olawande Daramola

    2014-05-01

    Full Text Available Academic advising of students is an expert task that requires a lot of time, and intellectual investments from the human agent saddled with such a responsibility. In addition, good quality academic advising is subject to availability of experienced and committed personnel to undertake the task. However, there are instances when there is paucity of capable human adviser, or where qualified persons are not readily available because of other pressing commitments, which will make system-based decision support desirable and useful. In this work, we present the design and implementation of an intelligent Course Advisory Expert System (CAES that uses a combination of rule based reasoning (RBR and case based reasoning (CBR to recommend courses that a student should register in a specific semester, by making recommendation based on the student’s academic history. The evaluation of CAES yielded satisfactory performance in terms of credibility of its recommendations and usability.

  9. A survey of Framatome's expert systems activity

    International Nuclear Information System (INIS)

    The French multinational nuclear energy world leader, Framatome, has designed and installed more than 40000 MWe of power in both France and abroad using Pressurized Water Reactor (PWR) technology. The French nuclear program ranks as one of the most successful in the world. In 1983, Framatome entered the Applied Artificial Intelligence (A.I.) field by setting up FRAMENTEC S.A., a joint venture with TEKNOWLEDGE Inc. Today, Framentec is a wholly-owned subsidiary of Framatome and is among the leading European companies specializing in Applied Artificial Intelligence. Framatome now has a 7.5% stake in Teknowledge Inc. The main applications in the nuclear industry can be summarized as follows: quality assurance; design of systems subject to extreme operating conditions; maintenance of complex systems; control of complex phenomenon producing high velocity transients; expert advice in multiple fields; compliance with complex regulations; high-skill personnel requirements; heavy financial investments

  10. Expert System Models in the Companies' Financial and Accounting Domain

    OpenAIRE

    Mates, D; Iancu, E.; I. Bostan; Grosu, V.

    2010-01-01

    The present paper is based on studying, analyzing and implementing the expert systems in the financial and accounting domain of the companies, describing the use method of the informational systems that can be used in the multi-national companies, public interest institutions, and medium and small dimension economical entities, in order to optimize the managerial decisions and render efficient the financial-accounting functionality. The purpose of this paper is aimed to identifying the econom...

  11. Man-machine interface in expert systems for NPPs

    International Nuclear Information System (INIS)

    Different modes of man-machine interface organization in expert systems (ES) are discussed. Some of the points of consideration are similar to other man-machine systems, and some are specific ES interface problems, such as knowledge formalization and acquisition, different modes of dialogue with different kinds of terminal users as well as problems related to explanation. All discussions are based on personal experience in ES project developments in different nuclear application areas. (author). 5 refs

  12. A CLIPS expert system for clinical flow cytometry data analysis

    Science.gov (United States)

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

    1990-01-01

    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.

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

    NARCIS (Netherlands)

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

    1996-01-01

    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 t

  14. Operator aids and expert systems in user computer interfaces

    International Nuclear Information System (INIS)

    Recent events have demonstrated the potential for catastrophic accidents at process control facilities, resulting in severe economic damages or loss of human life. Human operators play a central role in the outcome of accidents in process control plants, because of their responsibility to make decisions regarding the appropriate corrective actions needed to control the event. In recent years, researchers have been attempting to apply Artificial Intelligence (AI) methods for developing computer-based decision aids for process control operators. Much of this research activity has taken place within the nuclear industry. In order to assess the implications of expert systems for nuclear reactor operators, the United States Nuclear Regulatory Commission (USNRC) has sponsored a research program at the Idaho National Engineering Laboratory (INEL). Included in this program have been the development of a prototype expert system for nuclear reactor operators, as well as two experiments to measure the effects of the expert system on operator performance in simulated accident conditions. This paper briefly summarizes the experience gained during this research program and assesses the potential future of expert system decision aids for process control operators

  15. Exploiting expert systems in cardiology: a comparative study.

    Science.gov (United States)

    Economou, George-Peter K; Sourla, Efrosini; Stamatopoulou, Konstantina-Maria; Syrimpeis, Vasileios; Sioutas, Spyros; Tsakalidis, Athanasios; Tzimas, Giannis

    2015-01-01

    An improved Adaptive Neuro-Fuzzy Inference System (ANFIS) in the field of critical cardiovascular diseases is presented. The system stems from an earlier application based only on a Sugeno-type Fuzzy Expert System (FES) with the addition of an Artificial Neural Network (ANN) computational structure. Thus, inherent characteristics of ANNs, along with the human-like knowledge representation of fuzzy systems are integrated. The ANFIS has been utilized into building five different sub-systems, distinctly covering Coronary Disease, Hypertension, Atrial Fibrillation, Heart Failure, and Diabetes, hence aiding doctors of medicine (MDs), guide trainees, and encourage medical experts in their diagnoses centering a wide range of Cardiology. The Fuzzy Rules have been trimmed down and the ANNs have been optimized in order to focus into each particular disease and produce results ready-to-be applied to real-world patients. PMID:25417018

  16. Robotic Path Finding with Collision Avoidance Using Expert System

    Institute of Scientific and Technical Information of China (English)

    蔡自兴

    1989-01-01

    A rule-based expert system has been developed and used into a robotic planning system with collision-avoidance,The world model is represented as the knowledge data and stored in the knowledge base with rules.The expert system can find a collision-avoidance path.Otherwise.it shows the collision secton in which the moved object is blocked,Several examples for the different objects to pass through the different channels and to find a collision-free path have been tested.The simulating results of the palnner give out the planning sequence or blocked section(s).The output information is useful for making decision of the robot motion and modifyting the technological parameters of the world.

  17. Robotic Path Finding with Collision Avoidance Using Expert System

    Institute of Scientific and Technical Information of China (English)

    蔡自兴

    1989-01-01

    A rule-based expert system has been developed and used into a robotic planning system with collision-avoidance, The world model is represented as the knowledge data and stored in the knowledge base with rules. The expert system can find a collision-avoidance path . Otherwise, it shows the collision secton in which the moved object is blocked . Several examples for the different objects to pass throngli the different channels and to find a collision-free path have been testnd. The simulating resuks of the planner give out the planning sequence or blocked section(s) . The output information is useful for making decision of the robot motion and modifying the technological parameters of the world .

  18. The Expert System Designed To Improve Customer Satisfaction

    Directory of Open Access Journals (Sweden)

    P.Isakki alias Devi

    2011-12-01

    Full Text Available Customer Relationship Management becomes a leading business strategy in highly competitive businessenvironment. It aims to enhance the performance of the businesses by improving the customer satisfactionand loyalty. The objective of this paper is to improve customer satisfaction on product’s colors anddesign with the help of the expert system developed by using Artificial Neural Networks. The expertsystem’s role is to capture the knowledge of the experts and the data from the customer requirements, andthen, process the collected data and form the appropriate rules for choosing product’s colors and design.In order to identify the hidden pattern of the customer’s needs, the Artificial Neural Networks techniquehas been applied to classify the colors and design based upon a list of selected information. Moreover,the expert system has the capability to make decisions in ranking the scores of the colors and designpresented in the selection. In addition, the expert system has been validated with a different customertypes.

  19. Incorporating ''fuzzy'' data and logical relations in the design of expert systems for nuclear reactors

    International Nuclear Information System (INIS)

    This paper applies the method of assigning probability in Dempster-Shafer Theory (DST) to the components of rule-based expert systems used in the control of nuclear reactors. Probabilities are assigned to premises, consequences, and rules themselves. This paper considers how uncertainty can propagate through a system of Boolean equations, such as fault trees or expert systems. The probability masses assigned to primary initiating events in the expert system can be derived from observing a nuclear reactor in operation or based on engineering knowledge of the reactor parts. Use of DST mass assignments offers greater flexibility to the construction of expert systems

  20. Expert systems for automated correlation and interpretation of wireline logs

    Science.gov (United States)

    Olea, R.A.

    1994-01-01

    CORRELATOR is an interactive computer program for lithostratigraphic correlation of wireline logs able to store correlations in a data base with a consistency, accuracy, speed, and resolution that are difficult to obtain manually. The automatic determination of correlations is based on the maximization of a weighted correlation coefficient using two wireline logs per well. CORRELATOR has an expert system to scan and flag incongruous correlations in the data base. The user has the option to accept or disregard the advice offered by the system. The expert system represents knowledge through production rules. The inference system is goal-driven and uses backward chaining to scan through the rules. Work in progress is used to illustrate the potential that a second expert system with a similar architecture for interpreting dip diagrams could have to identify episodes-as those of interest in sequence stratigraphy and fault detection- and annotate them in the stratigraphic column. Several examples illustrate the presentation. ?? 1994 International Association for Mathematical Geology.

  1. Expert System for Data Security Risk Management for SMEs

    Directory of Open Access Journals (Sweden)

    Justinas Janulevičius

    2013-05-01

    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

  2. Expert system to control a fusion energy experiment

    Energy Technology Data Exchange (ETDEWEB)

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

    1986-01-01

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

  3. Expert system to control a fusion energy experiment

    International Nuclear Information System (INIS)

    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

  4. MOM: A meteorological data checking expert system in CLIPS

    Science.gov (United States)

    Odonnell, Richard

    1990-01-01

    Meteorologists have long faced the problem of verifying the data they use. Experience shows that there is a sizable number of errors in the data reported by meteorological observers. This is unacceptable for computer forecast models, which depend on accurate data for accurate results. Most errors that occur in meteorological data are obvious to the meteorologist, but time constraints prevent hand-checking. For this reason, it is necessary to have a 'front end' to the computer model to ensure the accuracy of input. Various approaches to automatic data quality control have been developed by several groups. MOM is a rule-based system implemented in CLIPS and utilizing 'consistency checks' and 'range checks'. The system is generic in the sense that it knows some meteorological principles, regardless of specific station characteristics. Specific constraints kept as CLIPS facts in a separate file provide for system flexibility. Preliminary results show that the expert system has detected some inconsistencies not noticed by a local expert.

  5. Expert System Control of Plant Growth in an Enclosed Space

    Science.gov (United States)

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

    2008-01-01

    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.

  6. Statistical process control methods for expert system performance monitoring.

    OpenAIRE

    Kahn, M. G.; Bailey, T C; Steib, S. A.; Fraser, V J; Dunagan, W C

    1996-01-01

    The literature on the performance evaluation of medical expert system is extensive, yet most of the techniques used in the early stages of system development are inappropriate for deployed expert systems. Because extensive clinical and informatics expertise and resources are required to perform evaluations, efficient yet effective methods of monitoring performance during the long-term maintenance phase of the expert system life cycle must be devised. Statistical process control techniques pro...

  7. Models, methods and software for distributed knowledge acquisition for the automated construction of integrated expert systems knowledge bases

    International Nuclear Information System (INIS)

    Based on an analysis of existing models, methods and means of acquiring knowledge, a base method of automated knowledge acquisition has been chosen. On the base of this method, a new approach to integrate information acquired from knowledge sources of different typologies has been proposed, and the concept of a distributed knowledge acquisition with the aim of computerized formation of the most complete and consistent models of problem areas has been introduced. An original algorithm for distributed knowledge acquisition from databases, based on the construction of binary decision trees has been developed

  8. Hybrid expert system implementation to determine core reload patterns

    International Nuclear Information System (INIS)

    Determining reactor reload fuel patterns is a computationally intensive problem solving process for which automation can be of significant benefit. Often much effort is expended in the search for an optimal loading. While any modern programming language could be used to automate solution, the specialized tools of artificial intelligence (AI) are the most efficient means of introducing the fuel management expert's knowledge into the search for an optimum reload pattern. Prior research in pressurized water reactor refueling strategies developed FORTRAN programs that automated an expert's basic knowledge to direct a search for an acceptable minimum peak power loading. The dissatisfaction with maintenance of compiled knowledge in FORTRAN programs has served as the motivation for the development of the SHUFFLE expert system. SHUFFLE is written in Smalltalk, an object-oriented programming language, and evaluates loadings as it generates them using a two-group, two-dimensional nodal power calculation compiled in a personal computer-based FORTRAN. This paper reviews the object-oriented representation developed to solve the core reload problem with an expert system tool and its operating prototype, SHUFFLE

  9. Developing knowledge management systems with an active expert methodology

    International Nuclear Information System (INIS)

    Knowledge management, understood as the ability to store, distribute and utilize human knowledge in an organization, is the subject of this dissertation. In particular we have studied the design of methods and supporting software for this process. Detailed and systematic description of the design and development processes of three case-study implementations of knowledge management software are provided. The outcome of the projects is explained in terms of an active expert development methodology, which is centered around support for a domain expert to take substantial responsibility for the design and maintenance of a knowledge management system in a given area of application. Based on the experiences from the case studies and the resulting methodology, an environment for automatically supporting knowledge management was designed in the KNOWLEDGE-LINKER research project. The vital part of this architecture is a knowledge acquisition tool, used directly by the experts in creating and maintaining a knowledge base. An elaborated version of the active expert development methodology was then formulated as the result of applying the KNOWLEDGE-LINKER approach in a fourth case study. This version of the methodology is also accounted for and evaluated together within the supporting KNOWLEDGE-LINKER architecture. (au)

  10. Generating rules in expert systems for nuclear power plant diagnostics

    International Nuclear Information System (INIS)

    Construction of a suitable rule base currently represents the most difficult, arduous, and time-consuming task involved in expert system development. In this paper a technique is discussed for automatically codifying the information in existing fault tress in the form of rules and an inference algorithm is presented which is suitable for diagnosing component failures from fault-tree-constructed rules. The algorithm uses a matrix representation of the rule base and fuzzy logic as the inferencing mechanism. An example of the diagnosis of failures in an electric power system using the system's fault tree is presented. An approach for generating rules form experience is also discussed

  11. Expert systems development: some problems, motives and issues in an exploratory study

    International Nuclear Information System (INIS)

    Even though expert systems (ES) have been in use since the early eighties, there is a remarkable lack of a strong theoretical base for handling expert systems development problems. There is a requirement in the ES field for theories or explanatory models to formulate propositions, to conduct research and interpret findings in a coherent way. This work presents an exploratory investigation designed to identify some problems, motives and issues associated with developing expert systems. Totally, twenty-five expert systems were developed by various organizations which participated in the study. The study attempts to provide evidence that either supports or refutes the anecdotes, gossips and speculations currently being spread through the academic journals dealing with the expert systems development in organizations. This study provides evidence that knowledge acquisition is indeed the bottleneck of expert systems development. It also points out that most expert systems are still in the prototype stage, and that current expert systems are mostly used for aiding the decision making of less skilled domain personnel and to a lesser extent for advice to experts. The rationale behind these uses seems to be the search by organizations for better decision making in the hope of improving competitiveness. A conceptual model of expert systems development is introduced based upon theoretical studies and the findings of this study from which some hypotheses are drawn. The main objective of the model is to contribute to a larger theoretical framework. Another aim is to create a broader theoretical framework for expert systems development in order to implement such systems more successfully. The results of the study confirm that the linkages of various concepts involved in the expert systems development process are very important for the design of a successful expert system project

  12. An expert system for emergency response

    International Nuclear Information System (INIS)

    An expert system, the Reactor Safety Assessment System (RSAS), is being developed by the Idaho National Engineering Laboratory and the US Nuclear Regulatory Commission (NRC) for the NRC Operations Center. The RSAS is intended to aid the reactor safety team (RST) at the operations center in monitoring and projecting core and containment status during an emergency at a licensed nuclear power plant. The RSAS system development has two major aspects. The first is the compilation and storage of knowledge required for RST assessment tasks. The knowledge structure used by RSAS is a goal tree-success tree (GTST) model. The upper level structure of the GTST model is generic in nature. This allows development of models for generic plant-specific GTST models. The second aspect of the RSAS is the development of inferencing techniques for the access, display, and manipulation of the knowledge to meet RST requirements in a real-time manner during the activation of the operations center. This objective is achieved by critical safety function and success path monitoring. This basic strategy is used to determine the current status and estimate future challenges to the status of the reactor, identify procedures and equipment required to maintain or regain the critical safety functions, identify critical equipment, determine information requirements, and display pertinent information concerning current reactor status

  13. An expert system for steam generator maintenance

    International Nuclear Information System (INIS)

    The tube bundles in PWR steam generators are, by far, the major source of problems whether they are due to primary and secondary side corrosion mechanisms or to tube vibration-induced wear at tube support locations. Because of differences in SG operating, materials, and fabrication processes, the damage may differ from steam generator to steam generator. MPGV, an expert system for steam generator maintenance uses all steam generator data containing data on materials, fabrication processes, inservice inspection, and water chemistry. It has access to operational data for individual steam generators and contains models of possible degradation mechanisms. The objectives of the system are: · Diagnosing the most probable degradation mechanism or mechanisms by reviewing the entire steam generator history. · Identifying the tubes most exposed to future damage and evaluating the urgency of repair by simulating the probable development of the problem in time. · Establishing the appropriate preventive actions such as repair, inspection or other measures and establishing an action schedule. The system is intended for utilities either for individual plants before each inspection outage or any time an incident occurs or for a set of plants through a central MPGV center. (author)

  14. Creation and Application of Expert System Framework in Granting the Credit Facilities

    OpenAIRE

    Somaye Hoseini; Ali Kermanshah; Abdol Hossein Saraf Zadeh

    2013-01-01

    This study investigated the development of a knowledge base for expert system for credit risk assessment of bank’s legal customers. It analyzed the customers’ credit risk based on experts’ financial ratio analysis. Financial ratios were derived from financial statements of customers; however, the knowledge that helps banking experts to determine the relationship between customers’ credit risk and financial situation has been derived from these laws. In this study, expert system considered cus...

  15. The Effect of Expert Systems Application on Increasing Profitability and Achieving Competitive Advantage

    OpenAIRE

    Somaye Hoseini; Ali Kermanshah; Abdol Hossein Saraf Zadeh

    2013-01-01

    This study investigated the development of a knowledge base for expert system for assessment of bank’s legal customers. It analyzed the customers’ credit risk based on experts’ financial ratio analysis. Financial ratios were derived from financial statements of customers; however, the knowledge that helps banking experts to determine the relationship between customers’ credit risk and financial situation has been derived from these laws. In this study, expert system considered customer financ...

  16. Implementation of an Intelligent Course Advisory Expert System

    OpenAIRE

    Olawande Daramola; Onyeka Emebo; Ibukun Afolabi; Charles Ayo

    2014-01-01

    Academic advising of students is an expert task that requires a lot of time, and intellectual investments from the human agent saddled with such a responsibility. In addition, good quality academic advising is subject to availability of experienced and committed personnel to undertake the task. However, there are instances when there is paucity of capable human adviser, or where qualified persons are not readily available because of other pressing commitments, which will make system-based dec...

  17. USING TECHNOLOGIES OF EXPERT SYSTEMS FOR SECURITY IN INFORMATION SYSTEMS

    Directory of Open Access Journals (Sweden)

    Kucher V. A.

    2015-06-01

    Full Text Available The article is devoted to the expert systems technology using to monitor the correct operation of the software and databases. It is noted that the main issues of security management in critical information systems is a process of observation and collection of information in a computing environment. Observation results should be evaluated and processed by an expert on security and then recorded in the database of expert systems. One of the possible options for security management of distributed computing network - creating a security machine. It will ensure: minimum response time to external perturbations; the accuracy of the audit protected by S-interface and independent decision-making process of the state of the controlled elements of information systems. After that, the agent is completely worn out; it is destroyed and replaced by a new one. This aging mechanism protects agent from analyzing and from external attacks

  18. The KN-3000 particle accelerator control expert system (PACES)

    International Nuclear Information System (INIS)

    The particle accelerator control expert system (PACES) is a computer-based operator aid, retrofitted to a model KN-3000 Van de Graaff accelerator, that is used during the start-up, steady state and shut-down phases of the accelerator. Using PACES, the operator can control the accelerator through a graphical control panel, or call upon an expert system to perform automatic start-up or shut-down. PACES then automatically stabilizes and optimizes particle beam parameters. PACES is also able to detect, diagnose and respond to operating faults, such as high-voltage sparks, vacuum system failure or loss of source gas. This paper demonstrates the novel features and utility of the PACES artificial intelligence accelerator controller

  19. Improving the efficiencies of simultaneous organic substance and nitrogen removal in a multi-stage loop membrane bioreactor-based PWWTP using an on-line Knowledge-Based Expert System.

    Science.gov (United States)

    Chen, Zhao-Bo; Nie, Shu-Kai; Ren, Nan-Qi; Chen, Zhi-Qiang; Wang, Hong-Cheng; Cui, Min-Hua

    2011-10-15

    The results of the use of an expert system (ES) to control a novel multi-stage loop membrane bioreactor (MLMBR) for the simultaneous removal of organic substances and nutrients are reported. The study was conducted at a bench-scale plant for the purpose of meeting new discharge standards (GB21904-2008) for the treatment of chemical synthesis-based pharmaceutical wastewater (1200-9600 mg/L COD, 500-2500 mg/L BOD5, 50-200 mg/L NH4+-N and 105-400 mg/L TN in the influent water) by developing a distributed control system. The system allows various expert operational approaches to be deployed with the goal of minimizing organic substances and nitrogen levels in the outlet while using the minimum amount of energy. The proposed distributed control system, which is supervised by a Knowledge-Based Expert System (KBES) constructed with G2 (a tool for expert system development) and a back propagation BP artificial neural network, permits the on-line implementation of every operating strategy of the experimental system. A support vector machine (SVM) is applied to achieve pattern recognition. A set of experiments involving variable sludge retention time (SRT), hydraulic retention time (HRT) and dissolved oxygen (DO) was carried out. Using the proposed system, the amounts of COD, TN and NH4+-N in the effluent decreased by 55%, 62% and 38%, respectively, compared to the usual operating conditions. These improvements were achieved with little energy cost because the performance of the treatment plant was optimized using operating rules implemented in real time. PMID:21862097

  20. Development of expert evaluation system for advanced nuclear power stations

    International Nuclear Information System (INIS)

    The wheels of the nuclear power industry in China are going to roll on the fast rails soon: It is important to establish an expert evaluation system for optimally selecting new types of NPPs in the future based on scientific evaluation. Under such a background, an expert evaluation system is developed to evaluate Various types of NPPs for the following two decades by taking into account the advices of selected top specialists in Chinese nuclear power industry, and by adopting different evaluation methods. The evaluation system is designed to use the database-MS-SQL Server or Oracle for manipulating experts' knowledge and objective data for scaling NPPs by user-selected evaluation methods for evaluating NPPs. The system includes two subsystems: one is called the Data Management Module and the other called the Evaluation Arithmetic Module. The Data Management Module is used to manage expert knowledge in forms of item marks of the NPPs given by experts of nuclear engineering. The Evaluation Arithmetic Module is used to analyze and deal with the evaluation based on the data in the Database by certain designed evaluation method, and to provide the evaluation results. Based on the users' selection, the evaluation of the NPPs is processed, and the results can be dynamically listed in table or displayed in graphics. So it can be used as a consulting tool to help users make optimal selection of prospective NPPs. The system is developed in architecture of the mixture framework C/S(Client/Server) and B/S(Browse/Server), thus is safe, advanced, extensible and user- friendly. The present system is computer network based, so it can be used not only in personal PC and local network, but also in the Web Server which can be browsed by remote users. To develop such an evaluation system is an initiative R and D project in Chinese nuclear R and D activities. Although the evaluation system is far from perfect, however, the preliminary evaluation results produced by the evaluation

  1. The application of expert systems to process control

    Science.gov (United States)

    Wu, Bevan P. F.

    1991-01-01

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

  2. GERIREX - growing a second generation medical expert system

    Energy Technology Data Exchange (ETDEWEB)

    Kocur, J. Jr. [Raytheon E-Systems, Greenville, TX (United States); Suh, S.C. [Texas A & M Univ., Commerce, TX (United States)

    1996-12-31

    This article describes GERIREX, a medical expert system as the core module of an integrated system for total management of a medical practice. GERIREX is currently a first-generation consultant in the domain of prescribing for the geriatric patient with multiple ailments. Employing rule and objective probabilistic knowledge representations, the system performs at the near-expert level, correctly ranking single and multiple drug therapy for hypertension and/or congestive heart failure in the presence of between two and seven of 18 common accompanying or underlying conditions. GERIREX creates permanent consultation records and can access patient information from existing databases. System requirements are met by very modest PCs, yet power, speed, flexibility, and ease of use rival or exceed those of many other systems. GERIREX interfaces with a variety of configurations and applications, including text, spreadsheets, databases, and executables, to fit in with current plans to upgrade to a second generation system, providing a degree of self-maintenance through intelligent parsing of a drug data source such as the Physicians` Desk Reference (PDR - CDROM version). Another option under consideration is developing neural networks to both replace the current knowledge base, and to embody the rationale employed by the medical expert in evaluating drug data for treatment selection. In this version, the current drug database would be used as warning data for the network tasked with adding new drugs to the drug database, imitating the process whereby a physician determines their personal arsenal from among the wide range of available options.

  3. Bank Customer Credit Scoring by Using Fuzzy Expert System

    Directory of Open Access Journals (Sweden)

    Ali Bazmara

    2014-10-01

    Full Text Available Granting banking facility is one of the most important parts of the financial supplies for each bank. So this activity becomes more valuable economically and always has a degree of risk. These days several various developed Artificial Intelligent systems like Neural Network, Decision Tree, Logistic Regression Analysis, Linear Discriminant Analysis and etc, are used in the field of granting facilities that each of this system owns its advantages and disadvantages. But still studying and working are needed to improve the accuracy and performance of them. In this article among other AI methods, fuzzy expert system is selected. This system is based on data and also extracts rules by using data. Therefore the dependency to experts is omitted and interpretability of rules is obtained. Validity of these rules could be confirmed or rejected by banking affair experts. For investigating the performance of proposed system, this system and some other methods were performed on various datasets. Results show that the proposed algorithm obtained better performance among the others.

  4. On line diagnostics of rotating machinery using expert system technology

    International Nuclear Information System (INIS)

    Over the last years it became apparent that on line diagnostics will become more and more important for increasing safety in nuclear power plants and the availability of machinery. Expert system technology in combination with conventional methods for pattern recongnition and data preparation turned out to be a favorite candidate for automatic on line diagnostics of rotating machinery and related diagnostical problems. The article describes the conceptual design of an on line diagnostic system for a liquid sodium pump in a nuclear power plant. An overview on the system design, the system parameters, the user interface, and an example for the construction of the knowledge base will be given. (orig.)

  5. A Comparative Study on ANFIS and Fuzzy Expert System Models for Concrete Mix Design

    OpenAIRE

    Mehdi Neshat; Ali Adeli; Azra Masoumi; Mehdi Sargolzae

    2011-01-01

    The aim of this study is to design ANFIS model and Fuzzy Expert System for determination of concrete mix design and finally compare their results. The datasets which has been loaded into ANFIS contains 552 mix designs and has been based on ACI mix designs. Moreover, in this study, a Fuzzy Expert System has been designed. Input fields of fuzzy expert system are Slump, Maximum Size of Aggregate (Dmax), Concrete Compressive Strength (CCS) and Fineness Modulus (FM). Output fields are quantities o...

  6. A fuel insert shuffle planner expert system

    International Nuclear Information System (INIS)

    During the refueling outage of a pressurized water reactor, the fuel assembly inserts must be moved from their current fuel assemblies to the proper fuel assemblies for the next cycle core design. The crane movement pattern, or shuffle plan, to perform this operation should be as efficient as possible because a less efficient plan could cause the power plant to be shut down for a longer period of time. The current method to develop this plan requires three to four man-weeks of a reactor engineer's time. This plan is developed by the reactor engineer who uses his expertise from previous insert shuffles. Further modifications to this plan are sometimes required due to either changes in the desired core load pattern or damaged fuel or inserts. These changes generally require two to four man-days during the plant outage time. A full-scale prototype of an insert shuffle advisor expert system has been developed to create the insert shuffle plan. This system substantially reduces the manpower requirements needed to develop this plan. It is also a vehicle for preserving the expertise needed to develop this plan. Since the plan can be developed more quickly with the insert shuffle advisor, several strategies can be tried. This gives the potential for a more efficient insert shuffle plan than could be found by the reactor engineer. A more efficient plan means that the power plant could be shut down for a shorter period of time. This would have considerable financial advantages

  7. A New Method for Knowledge Representation in Expert System's (XMLKR)

    OpenAIRE

    Bahrami, Mehdi

    2008-01-01

    Knowledge representation it is an essential section of a Expert Systems, Because in this section we have a framework to establish an expert system then we can modeling and use by this to design an expert system. Many method it is exist for knowledge representation but each method have problems, in this paper we introduce a new method of object oriented by XML language as XMLKR to knowledge representation, and we want to discuss advantage and disadvantage of this method.

  8. An examination of expert systems activities within the nuclear industry

    International Nuclear Information System (INIS)

    This paper provides an overview of a detailed evaluation that the authors recently completed on expert systems applications within the nuclear industry. That evaluation examined the motivation for utilizing expert systems, identified the areas to which they were being applied, and provided an assessment of their utility. Listed here are some of the salient findings of that report. (1) Utilities are developing their own artificial intelligence tools rather than using commercial products. (2) Few expert systems are being developed for the express purpose of capturing human expertise. (3) A number of successful expert systems have been developed to assist in plant design, management, and maintenance scheduling. (4) Interactive diagnostic systems are being developed for the analysis of physical processes that vary slowly. (5) Real-time diagnostic expert systems are currently at the cutting edge of the technology. (6) Operator adviser and emergency response expert systems constitute ∼25% of the total. (7) Research on the use of expert systems for reactor control is quite active. (8) Too few quantitative evaluations of the benefits of expert systems to reactor operators have been performed. The operator's need is for timely, factual information on plant status. Hence, the true challenge to expert systems is real-time diagnostics

  9. Design and development of an expert system based quality assurance module for the Dynamo Model of software project management

    OpenAIRE

    Leidy, Frank H.

    1989-01-01

    Quality assurance is a crucial function to the successful development and maintenance of a software system. Because this activity has a significant impact on the cost of software development, the cost-effectiveness of quality assurance is a major concern to the software quality manager. There are tradeoffs between the economic benefits and costs of quality assurance. Using the Dynamo model of software project management, an optimal quality assurance level and its distribution throughout a pro...

  10. A Fault Diagnosis Expert System for a Heavy Motor Used in a Rolling Mill

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    A fault diagnosis expert system for a heavy motor used in a rolling mill is established in this paper. The fault diagnosis knowledge base was built, and its knowledge was represented by production rules. The knowledge base includes daily inspection system, brief diagnosis system and precise diagnosis system. A pull-down menu was adopted for the management of the knowledge base. The system can run under the help of expert system development tools. Practical examples show that the expert system can diagnose faults rapidly and precisely.

  11. User's guide for the thermal analyst's help desk expert system

    Science.gov (United States)

    Ormsby, Rachel A.

    1994-01-01

    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.

  12. Energy efficiency enhancement in cement factories using expert system

    International Nuclear Information System (INIS)

    Full text : In this paper, expert system for energy efficiency in cement industry is presented. Due to the fact that cement manufacturing project in these factories are similar, so in main parts knowing the consumption origins and save potential and existing approaches can be similar. In this method, via expert system software of prolog AH types of energy consumption and investment costs are listed in which method of best first search and innovative search have been used and by forming knowledge base, targeting to get best approaches is presented. The obtained results, regarding the executed limits, will be displayed in the output of program and this program can be given the best decision about energy management in cement factories

  13. Expert System Models in the Companies' Financial and Accounting Domain

    CERN Document Server

    Mates, D; Bostan, I; Grosu, V

    2010-01-01

    The present paper is based on studying, analyzing and implementing the expert systems in the financial and accounting domain of the companies, describing the use method of the informational systems that can be used in the multi-national companies, public interest institutions, and medium and small dimension economical entities, in order to optimize the managerial decisions and render efficient the financial-accounting functionality. The purpose of this paper is aimed to identifying the economical exigencies of the entities, based on the already used accounting instruments and the management software that could consent the control of the economical processes and patrimonial assets.

  14. Expert systems - basic principles and possible applications in nuclear energy

    International Nuclear Information System (INIS)

    One of the primary goals of the application of mathematical methods and computational techniques in reactor physics is the effective and accurate solution of the neutron diffusion equation under various conditions. To reach this goal still requires much skill, experience, knowledge and imagination as can be seen from various contributions at this and other conferences. Experts are necessary. Will expert systems replace them. We shall discuss this question by describing the basic principles of problem solving by expert systems as compared to problem solving by mathematical and computational methods. From this we shall identify areas of possible applications of the new techniques in nuclear energy and develop some thoughts on present limitations. As a result we conclude that expert systems will not be able to replace experts as long as the experts use the systems to improve their own expertise

  15. Improved Real-Time Monitoring Using Multiple Expert Systems

    Science.gov (United States)

    Schwuttke, Ursula M.; Angelino, Robert; Quan, Alan G.; Veregge, John; Childs, Cynthia

    1993-01-01

    Monitor/Analyzer of Real-Time Voyager Engineering Link (MARVEL) computer program implements combination of techniques of both conventional automation and artificial intelligence to improve monitoring of complicated engineering system. Designed to support ground-based operations of Voyager spacecraft, also adapted to other systems. Enables more-accurate monitoring and analysis of telemetry, enhances productivity of monitoring personnel, reduces required number of such personnel by performing routine monitoring tasks, and helps ensure consistency in face of turnover of personnel. Programmed in C language and includes commercial expert-system software shell also written in C.

  16. The Expert System Designed To Improve Customer Satisfaction

    OpenAIRE

    P.Isakki alias Devi; S.P. Rajagopalan

    2011-01-01

    Customer Relationship Management becomes a leading business strategy in highly competitive business environment. It aims to enhance the performance of the businesses by improving the customer satisfaction and loyalty. The objective of this paper is to improve customer satisfaction on product's colors and design with the help of the expert system developed by using Artificial Neural Networks. The expert system's role is to capture the knowledge of the experts and the data from the customer req...

  17. RC2-a new expert system to interpret signals

    Energy Technology Data Exchange (ETDEWEB)

    Grumbach, A.; Ducasse, M.

    1983-12-01

    A new system of word recognition called the blackboard system or hearsay has been put forth by Ermann. The article devotes a lot of attention to an example which shows how a sentence is constructed starting from phonemes and going on to words, groups of words and phrases. Classic expert systems consist of a base of knowledge and a base of temporary information to bring forth an inference. Lastly there is an interpreter to activate these two bases. The hearsay expert system has some differences: firstly the base of knowledge consists of several modules (KS or knowledge sources) which are independent and communicate by means of the blackboard which is a base of structured facts memorising the hypotheses furnished by the modules. The hypotheses are divided into phonetics, lexical, syntactic, and semantic knowledge. The phonemes provided are grouped into words by the ks phonemes=words, and then into groups of words by the ks words=groups of words and lastly into a phrase. The problem of word recognition is not completely resolved but the principle objective of constructing a kernel has been attained. The recognition of a phrase of 10 words takes about 45 minutes. There still remains a lot of work to be done concerning the knowledge base. 4 references.

  18. QL-CONST1: an expert system for quality level prediction in concrete structures

    OpenAIRE

    Cerrolaza Rivas, Miguel; Gómez Sedano, Benedicto; Alarcón Álvarez, Enrique

    1988-01-01

    Current trends in the fields of artifical intelligence and expert systems are moving towards the exciting possibility of reproducing and simulating human expertise and expert behaviour into a knowledge base, coupled with an appropriate, partially ‘intelligent’, computer code. This paper deals with the quality level prediction in concrete structures using the helpful assistance of an expert system, QL-CONST1, which is able to reason about this specific field of structural engineering. Evidenc...

  19. 基于Prolog语言的装备维修决策专家系统设计与开发%The Design and Development for Equipment Maintenance Decision-Making Expert System Based on Prolog Language

    Institute of Scientific and Technical Information of China (English)

    王广彦; 胡起伟; 王亚彬

    2012-01-01

    The equipment maintenance decision-making expert system is designed and developed based on Prolog intelligent language. The characteristics of equipment maintenance experts are researched thoroughly from the sides of maintenance knowledge and inferential ability. The basic syntaxes and inferential formats of expert system based on Prolog are analyzed, as well as their applications in equipment maintenance. The element knowledge database, correlative knowledge database, and application knowledge database are designed and developed for equipment maintenance decision-making expert system. At last a equipment maintenance decision-making expert system is developed through combinatorial programming of Visual Prolog and VC++.%采用Prolog智能语言对装备维修决策专家系统进行了设计与开发。从维修知识和推理能力两方面研究了装备维修专家的基本特点;分析了基于Prolog的专家系统的基本语法、推理方式及其在装备维修中的应用方式;设计并开发了装备维修决策专家系统的元知识库、关联知识库和应用知识库;最后采用Visual Prolog和VC++混合编程方式开发了某装备维修决策专家系统。

  20. TRIBES - A CPC (Core Protection Calculator)/CEAC (Control Element Assembly Calculator) TRIp Buffer Expert System

    International Nuclear Information System (INIS)

    This paper discusses the development of a small IBM personal computer based expert system to diagnose reactor trips initiated by the Core Protection Calculator, CPC, and the Control Element Assembly Calculator, CEAC. The expert system interprets information from trip buffers created by the CPC and CEAC to determine the reason for the reactor trip. A trip buffer consists of a number of numeric point IDs and their values at the time of the CPC or CEAC channel trip. An expert system approach was chosen because trip buffer interpretation requires a CPC expert to determine the cause of a trip, the knowledge is amenable to formulation in rules and the justification subsystem of an expert system allows a novice user to follow the program's logic to the trip conclusion. The TRIp Buffer Expert System, TRIBES, inference engine is written in TURBO-PROLOG

  1. UNCERTAIN KNOWLEDGE MANAGEMENT IN EXPERT SYSTEMS USING FUZZY METAGRAPHS

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    This paper presented a new graph-theoretic construct fuzzy metagraphs and discussed their applications in constructing--fuzzy knowledge base. Fuzzy metagraphs describe the relationships between sets of fuzzy elements but not single fuzzy element and offer some distinct advantages both for visualization of systems, as well as for formal analysis of system structure. In rule-based system, a fuzzy metagraph is a unity of the knowledge base and the reasoning engine. Based on the closure of the adjacency matrix of fuzzy metagraphs, this paper presented an optimized inferential mechanism working mainly by an off-line approach. It can greatly increase the efficiency of inference. Finally, it was applied in a daignostic expert system and satisfactory results were obtained.

  2. Expertness Based Cooperative Q-Learning

    OpenAIRE

    Ahmadabadi, N.M.; Asadpour, M.

    2002-01-01

    By using other agents experiences and knowledge, a learning agent may learn faster, make fewer mistakes, and create some rules for unseen situations. These benefits would be gained if the learning agent can extract proper rules out of the other agents knowledge for its own requirements. One possible way to do this is that, the learner assigns some expertness values (intelligence level values) to the other agents and uses their knowledge accordingly. In this paper, some criteria to measure the...

  3. Reactor accident diagnostic expert system: DISKET

    International Nuclear Information System (INIS)

    A reactor accident diagnostic system DISKET has been developed to identify the cause and the type of an abnormal transient of a nuclear power plant. The system is based on the knowledge engineering and consists of an inference engine IERIAS and a knowledge base. The main features of DISKET are the following: Time-varying characteristics of transient can be treated and knowledge base can be divided into several knowledge units to handle a lot of rules effectively. This report has been provided for the convenience of DISKET's users and consists of three parts. The first part is the description of the whole system, the details of the knowledge base of DISKET are described in the second part, and how to use the DISKET system is explained in the third part. (author)

  4. Neuro-expert system applications in power systems

    Energy Technology Data Exchange (ETDEWEB)

    Khosla, R.; Dillon, T.

    1997-12-31

    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. Intelligent monitoring of water chemistry - Diagnostic expert system DIWATM

    International Nuclear Information System (INIS)

    For fast and comprehensive evaluation of power plant water chemistry conditions and reliable diagnosis in the event of disturbances considerable advantages are provided by employment of the Diagnostic Expert System DIWA. The interface to the process control system (I and C) and the integration of the DIWA system in the office PC network are the preconditions that DIWA operates as a monitoring system in real time. The performance of diagnosis, which are processed by a fuzzy-logic-supported knowledge base ensures not only the detection of all disturbances but also different analyses of the plant operation mode. By editing the knowledge base the Al of the system can increase without system programming. (authors)

  6. An Expert System Adviser for Tourists Planning To Visit Thailand.

    Science.gov (United States)

    Kanchanosatha, Vinita

    This document reports on an examination of the analysis, design, development, implementation, and evaluation of an interactive computer program. The program is called an expert system adviser, and is for tourists planning on visiting Thailand. The expert system contains well-organized information that provides detailed coverage of Thailand. The…

  7. Introducing Expert Systems into the Business School Curriculum.

    Science.gov (United States)

    Moen, David H.; And Others

    1992-01-01

    States that the usefulness of expert systems has caused them to become more popular in the work environment. Discusses how to incorporate material on expert system concepts into introductory courses in accounting and statistics at the undergraduate level and in quantitative analysis at the graduate level. (Author)

  8. Prediction of Fertility of Virginia Beef Heifers Using Expert Systems Technology

    OpenAIRE

    Wilson II, Lawriston A

    1996-01-01

    An expert system to predict the fertility of beef heifers was developed using the A.I. Toolkit KAPPA-PC 2.33. The knowledge base was developed from scientific literature and from a beef cattle reproduction expert. The expert system computes an evaluation age, age both at the start and end of the breeding season, and weight per day of age to classify a heifer as having either a 3LOW2, 3GOOD2, or 3EXCELLENT2 likelihood of conception. The expert system summari...

  9. Study on fault diagnose expert system for large astronomy telescope

    Science.gov (United States)

    Liu, Jia-jing; Luo, Ming-Cheng; Tang, Peng-yi; Wu, Wen-qing; Zhang, Guang-yu; Zhang, Hong-fei; Wang, Jian

    2014-08-01

    The development of astronomical techniques and telescopes currently entered a new vigorous period. The telescopes have trends of the giant, complex, diversity of equipment and wide span of control despite of optical, radio space telescopes. That means, for telescope observatory, the control system must have these specifications: flexibility, scalability, distributive, cross-platform and real-time, especially the fault locating and fault processing is more important when fault or exception arise. Through the analysis of the structure of large telescopes, fault diagnosis expert system of large telescope based on the fault tree and distributed log service is given.

  10. EXPERT DISCOVERY AND KNOWLEDGE MINING IN COMPLEX MULTI-AGENT SYSTEMS

    Institute of Scientific and Technical Information of China (English)

    Minjie ZHANG; Xijin TANG; Quan BAI; Jifa GU

    2007-01-01

    Complex problem solving requires diverse expertise and multiple techniques. In order to solve such problems, complex multi-agent systems that include both of human experts and autonomous agents are required in many application domains. Most complex multi-agent systems work in open domains and include various heterogeneous agents. Due to the heterogeneity of agents and dynamic features of working environments, expertise and capabilities of agents might not be well estimated and presented in these systems. Therefore, how to discover useful knowledge from human and autonomous experts,make more accurate estimation for experts' capabilities and find out suitable expert(s) to solve incoming problems ("Expert Mining") are important research issues in the area of multi-agent system.In this paper, we introduce an ontology-based approach for knowledge and expert mining in hybrid multi-agent systems. In this research, ontologies are hired to describe knowledge of the system.Knowledge and expert mining processes are executed as the system handles incoming problems. In this approach, we embed more self-learning and self-adjusting abilities in multi-agent systems, so as to help in discovering knowledge of heterogeneous experts of multi-agent systems.

  11. An Expert Machine Tools Selection System for Turning Operation

    Science.gov (United States)

    Tan, C. F.; Khalil, S. N.; Karjanto, J.; Wahidin, L. S.; Chen, W.; Rauterberg, G. W. M.

    2015-09-01

    The turning machining process is an important process in the manufacturing industry. It is important to select the right tool for the turning process so that the manufacturing cost will be decreased. The main objective of this research is to select the most suitable machine tools with respect to user input requirement. The selection criteria are based on rule based expert system and multi-criteria weighted average method. The developed system consists of Knowledge Acquisition Module, Machine Tool Selection Module, User Interface Module and Help Module. The system capable of selecting the most suitable machine along with its full specification and ranks the machines based on criteria weighted. The main benefits from using the system is to reduce the complexity in the decision making for selecting the most appropriate machine tools to suit one requirement in the turning process for manufacturing industry.

  12. An object oriented expert system to enhance the log analysis of the Colombian basins

    Energy Technology Data Exchange (ETDEWEB)

    Soto, R.; Soto, C.

    1995-12-31

    This paper describes an Expert System developed to predict whether a pay zone will produce hydrocarbon or water. This Expert System was applied to the Caballos and Villeta Formations in the Putumayo basin and the Mirador Formation of the Cusiana Field, both in Colombia. Log analysis {open_quotes}rules{open_quotes} relating the combination of logs (SP, GR, caliper, resistivity, density, neutron, sonic, etc.) and basic information are included in the knowledge base, The Expert System uses the Kappa-PC Shell and is composed of three sub-systems: (1) an inference engine, (2) a knowledge base, and (3) a user interface. We also consulted human experts to formulate and expand the knowledge base. Additionally, each formation was characterized using a Log Interpretation System (QLA2). The results from each characterization were used to develop cross plots. The QLA2 cross plots provided practical correlations from which to formulate {open_quotes}rules{close_quotes} for the Expert System. Logs from nine wells in the Cusiana Field were used to evaluate the Expert System. The recommendations of the Expert System agreed with conventional log analysis theory as well as with the known field results. Furthermore, it minimized the time and cost required to evaluate the pay zones. In conclusion, this Expert System can be used to predict whether or not a zone will produce oil or water with a high degree of accuracy.

  13. A new Expert Finding model based on Term Correlation Matrix

    Directory of Open Access Journals (Sweden)

    Ehsan Pornour

    2015-09-01

    Full Text Available Due to the enormous volume of unstructured information available on the Web and inside organization, finding an answer to the knowledge need in a short time is difficult. For this reason, beside Search Engines which don’t consider users individual characteristics, Recommender systems were created which use user’s previous activities and other individual characteristics to help users find needed knowledge. Recommender systems usage is increasing every day. Expert finder systems also by introducing expert people instead of recommending information to users have provided this facility for users to ask their questions form experts. Having relation with experts not only causes information transition, but also with transferring experiences and inception causes knowledge transition. In this paper we used university professors academic resume as expert people profile and then proposed a new expert finding model that recommends experts to users query. We used Term Correlation Matrix, Vector Space Model and PageRank algorithm and proposed a new hybrid model which outperforms conventional methods. This model can be used in internet environment, organizations and universities that experts have resume dataset.

  14. An expert system for PWR core operation management

    International Nuclear Information System (INIS)

    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

  15. Modular Approach for Expert System toward Anomaly: N-Layers

    OpenAIRE

    Pardo, Etienne; Espes, David; Le Parc, Philippe

    2016-01-01

    International audience —Smart cities and smart homes are booming fields of development of pervasive systems. With the high stakes these systems have to manage, and their sheer complexity, anomalies have to be considered. In these complex systems are many connected components with computing capacities. They can manage anomalies, even if partially, and can act as some kind of expert systems. These expert systems can be relied upon to provide anomaly management. The complexity to manage gener...

  16. Expert Systems and their Application in Library and Information Science

    OpenAIRE

    Dwendra K. Singh; Bhupendra K. Singh; Yogendra P. Dubey

    2003-01-01

    This article describes the concept of expert. systems, its origin, features, advantages and its application in various areas of library and information system environment.http://dx.doi.org/10.14429/dbit.16.4.3272

  17. Off-Line Arabic (Indian Numbers Recognition Using Expert System

    Directory of Open Access Journals (Sweden)

    Fahad Layth Malallah

    2016-04-01

    Full Text Available This paper proposes an effective approach to automatic recognition of printed Arabic numerals which are extracted from digital images. First, the input image is normalized and pre-processed to an acceptable form. From the preprocessed image, components of the words are segmented into individual objects representing different numbers. Second, the numerical recognition is performed using an expert system based on a set of if-else rules, where each set of rules represents the categorization of each number. Finally, rigorous experiments are carried out on 226 random Arabic numerals selected from 40 images of Iraqi car plate numbers. The proposed method attained an accuracy of 97%.

  18. Revamping Grooving Process for Sustainability using Fuzzy Expert System

    Directory of Open Access Journals (Sweden)

    Iqba Asif

    2016-01-01

    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.

  19. Generative design in architecture using an expert system

    Science.gov (United States)

    Gullichsen, E.; Chang, E.

    The mathematician-architect Christopher Alexander has devised a theory of objective architectural design. He believes that all architectural forms can be described as interacting patterns, all possible relationships of which are governed by generative rules. These form a pattern language' capable of generating forms appropriate for a given environmental context. The complexity of interaction among these rules leads to difficulties in their representation by conventional methods. Here, a Prolog-based expert system is presented which implements Alexander's design methodology to produce perspective views of partially and fully differentiated 3-dimensional architectural forms.

  20. A Study of Expert System for Career Selection: Literature Review

    Directory of Open Access Journals (Sweden)

    Waghmode M. L

    2015-09-01

    Full Text Available Expert system uses human knowledge stored inside a computer to solve problems those require human expertise for solving. Knowledge expert system helps to support for making better decision. There is need of career guidance for students at college level. Expert system plays an important role to facilitate decision making, diagnosis of diseases etc. Expert system for career selection can be developed using Fuzzy logic, neural network for guiding students for selecting proper career stream. From the literature review it has found that in Maharashtra comparatively very less research took place on expert system for career selection. Hence there is wide scope in expert system development for career guidance which will assist secondary and higher secondary students in Maharashtra for selecting proper career. Through this paper researcher thrown light on literature review of career selection expert systems. Here for career selection researcher reviewed 43 literatures including 2-conference proceeding, 8-Books, 22- Journals, 1-Report, 5-Thesis, 3-Websites, 2-Encyclopaedia articles and 2-generic articles. Articles referred are from last two decades and majority of them are latest.

  1. Prediction of low back pain with two expert systems.

    Science.gov (United States)

    Sari, Murat; Gulbandilar, Eyyup; Cimbiz, Ali

    2012-06-01

    Low back pain (LBP) is one of the common problems encountered in medical applications. This paper proposes two expert systems (artificial neural network and adaptive neuro-fuzzy inference system) for the assessment of the LBP level objectively. The skin resistance and visual analog scale (VAS) values have been accepted as the input variables for the developed systems. The results showed that the expert systems behave very similar to real data and that use of the expert systems can be used to successfully diagnose the back pain intensity. The suggested systems were found to be advantageous approaches in addition to existing unbiased approaches. So far as the authors are aware, this is the first attempt of using the two expert systems achieving very good performance in a real application. In light of some of the limitations of this study, we also identify and discuss several areas that need continued investigation. PMID:20978929

  2. Expert systems: Their implications and applications for power systems

    OpenAIRE

    Rajesh, KG

    1997-01-01

    Our dependency on the computer has been increasing ever since we recognized its tremendous potential. The ease of using numerical computations has proved a boon in designing complex power systems. Nevertheless, human experience and expertise cannot be incorporated in conventional programs. This has resulted in the emergence of "Artificial Intelligence" (AI), a tradition of research which attempts to emulate the reasoning mechanism in humans. This, in turn, has lead to the field of "Expert Sys...

  3. FHESMM: Fuzzy Hybrid Expert System for Marketing Mix Model

    Directory of Open Access Journals (Sweden)

    Mehdi Neshat

    2011-11-01

    Full Text Available Increasing customers satisfaction in this developed world is the most important factor to have a successful trade and production. New marketing methods and supervising the marketing choices will have a key role to increase the profit of a company. This paper investigates an expert system through four main principles of marketing (price, product, Place and Promotion and their composition with a logic fuzzy system and benefiting from the experiences of marketing specialists. Comparing with the other systems, this one has special properties such as investigating and extracting different fields in which affect the customers satisfaction directly or indirectly as input parameters (26, using knowledge of experts to design inference system rule, composing the results of five fuzzy expert systems and calculating final result(customers satisfaction and finally creating a high function expert system on management and guiding the managers to do a successful marketing in dynamic markets.

  4. Topics in expert system design methodologies and tools

    CERN Document Server

    Tasso, C

    1989-01-01

    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

  5. Use of expert systems in nuclear power plants

    International Nuclear Information System (INIS)

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

  6. Verification and validation of decision support Expert Systems

    International Nuclear Information System (INIS)

    Expert Systems are being designed or considered for both on-line process control and off-line decision support in the handling of hazardous materials. There are possibilities for both positive and negative impacts on chemical industry fire/explosion loss potentials. The authors review some guidelines and tools available for the verification and validation (V and V) of expert systems. Finally, they illustrate some of the points discussed by describing the development of a prototype expert system for hazardous materials classification and loss prevention engineering decision support

  7. Expert system for determination of fumonisins in corn samples

    Directory of Open Access Journals (Sweden)

    Abramović Biljana F.

    2005-01-01

    Full Text Available An expert system (ES to solve the problem of choosing an optimal procedure for the determination of fumonisins in corn samples was developed, having in mind that these toxins most frequently contaminate this particular cereal. In constructing the ES use was made of the deterministic approach starting from the assumption that the experts in the field have a profound knowledge about the problem in question. The ES knowledge base contains the solutions that have been published in the pertinent literature, as well as some solutions and recommendations, which we have developed and introduced. On the basis of this information, as well as on the basis of the demanded method detection limit, available equipment, chemicals, as well as the time the experimenter has at his disposal for the determination, the ES proposes a procedure for solving the given analytical problem, starting from sampling, preparation of all the necessary solutions, the appropriate apparatus, probe preparation, the mode of determining results, calculation of the results, and provides a survey of all the relevant literature references. The base of ES is a shell, which can work under a variety of Microsoft Windows operating systems. In the development of ES and its adaptation for users who are not familiar with computer techniques, different tools, which operate with Microsoft Windows operating systems, as well as the tools within Microsoft Office are used.

  8. Diagnosis of Diabetes using Correlation fuzzy logic in Fuzzy Expert System

    OpenAIRE

    M. Kalpana; A.V. Senthil Kumar

    2012-01-01

    Fuzzy expert system framework constructs large scale knowledge based system effectively for diabetes. Fuzzy Expert System helps the medical practitioners to solve decision problem. The components of correlation fuzzy determination mechanism are determination logic and knowledge base. The fuzzification interface converts the crisp values into fuzzy values for the diagnosis of diabetes. The determination logic evaluates the effect on the number of membership functions, the shape of membership f...

  9. 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

    International Nuclear Information System (INIS)

    This report is the third volume in the final report for the Expert System Verification and Validation (V ampersand 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 ampersand 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 ampersand 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 ampersand V of expert systems is not nearly as established or prevalent as V ampersand V of conventional software systems. When V ampersand 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 ampersand 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 ampersand V methods in an earlier task

  10. 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)

    1995-03-01

    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.

  11. Guidelines for the verification and validation of expert system software and conventional software. Volume 3: Survey and documentation of expert system verification and validation methods. Final report

    International Nuclear Information System (INIS)

    This report is the third volume in the final report for the Expert System Verification and Validation (V ampersand 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 ampersand 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 ampersand 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 ampersand V of expert systems is not nearly as established or prevalent as V ampersand V of conventional software systems. When V ampersand 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 ampersand 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 ampersand V methods in an earlier task

  12. Expert system for controlling plant growth in a contained environment

    Science.gov (United States)

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

    2011-01-01

    In a system for optimizing crop growth, vegetation is cultivated in a contained environment, such as a greenhouse, an underground cavern or other enclosed space. Imaging equipment is positioned within or about the contained environment, to acquire spatially distributed crop growth information, and environmental sensors are provided to acquire data regarding multiple environmental conditions that can affect crop development. Illumination within the contained environment, and the addition of essential nutrients and chemicals are in turn controlled in response to data acquired by the imaging apparatus and environmental sensors, by an "expert system" which is trained to analyze and evaluate crop conditions. The expert system controls the spatial and temporal lighting pattern within the contained area, and the timing and allocation of nutrients and chemicals to achieve optimized crop development. A user can access the "expert system" remotely, to assess activity within the growth chamber, and can override the "expert system".

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

    Directory of Open Access Journals (Sweden)

    Sania Bhatti

    2012-04-01

    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. True-personality-assisted self-awareness expert system

    International Nuclear Information System (INIS)

    Based on psychoanalytic theory, the Who am I? expert system explains in simple terms the individual's true personality, even it its unconscious or hidden aspects. Our overt personality traits are deeply rooted. The Who am I? expert system gives access to an individual's primary personality, starting from his habitual everyday-life behavior: (1) describes the individual's basic personality, (2) explains this personality through the individual's deeply rooted experience and motivation, and (3) makes links with other people with a similar profile. The following are the primary features of the system: easy individual access, results in <20 minutes, and guaranteed confidentiality. Business applications include the following: (1) Individual training: Self-awareness improves a person's ability to fit in and to succeed within the group. (2) Communication: a homogeneous team has a better chance of success. (3) Human reliability: A close-knit team remains reliable even when faced with serious difficulties. (4) Recruitment: This technique enables the selection of individuals who will fit an existing homogeneous team. The system also enables a psychological diagnosis to be confirmed

  15. True-personality-assisted self-awareness expert system

    Energy Technology Data Exchange (ETDEWEB)

    Laleuf, M.

    1988-01-01

    Based on psychoanalytic theory, the Who am I expert system explains in simple terms the individual's true personality, even it its unconscious or hidden aspects. Our overt personality traits are deeply rooted. The Who am I expert system gives access to an individual's primary personality, starting from his habitual everyday-life behavior: (1) describes the individual's basic personality, (2) explains this personality through the individual's deeply rooted experience and motivation, and (3) makes links with other people with a similar profile. The following are the primary features of the system: easy individual access, results in <20 minutes, and guaranteed confidentiality. Business applications include the following: (1) Individual training: Self-awareness improves a person's ability to fit in and to succeed within the group. (2) Communication: a homogeneous team has a better chance of success. (3) Human reliability: A close-knit team remains reliable even when faced with serious difficulties. (4) Recruitment: This technique enables the selection of individuals who will fit an existing homogeneous team. The system also enables a psychological diagnosis to be confirmed.

  16. Multiple neural network approaches to clinical expert systems

    Science.gov (United States)

    Stubbs, Derek F.

    1990-08-01

    We briefly review the concept of computer aided medical diagnosis and more extensively review the the existing literature on neural network applications in the field. Neural networks can function as simple expert systems for diagnosis or prognosis. Using a public database we develop a neural network for the diagnosis of a major presenting symptom while discussing the development process and possible approaches. MEDICAL EXPERTS SYSTEMS COMPUTER AIDED DIAGNOSIS Biomedicine is an incredibly diverse and multidisciplinary field and it is not surprising that neural networks with their many applications are finding more and more applications in the highly non-linear field of biomedicine. I want to concentrate on neural networks as medical expert systems for clinical diagnosis or prognosis. Expert Systems started out as a set of computerized " ifthen" rules. Everything was reduced to boolean logic and the promised land of computer experts was said to be in sight. It never came. Why? First the computer code explodes as the number of " ifs" increases. All the " ifs" have to interact. Second experts are not very good at reducing expertise to language. It turns out that experts recognize patterns and have non-verbal left-brain intuition decision processes. Third learning by example rather than learning by rule is the way natural brains works and making computers work by rule-learning is hideously labor intensive. Neural networks can learn from example. They learn the results

  17. Rule groupings: A software engineering approach towards verification of expert systems

    Science.gov (United States)

    Mehrotra, Mala

    1991-01-01

    Currently, most expert system shells do not address software engineering issues for developing or maintaining expert systems. As a result, large expert systems tend to be incomprehensible, difficult to debug or modify and almost impossible to verify or validate. Partitioning rule based systems into rule groups which reflect the underlying subdomains of the problem should enhance the comprehensibility, maintainability, and reliability of expert system software. Attempts were made to semiautomatically structure a CLIPS rule base into groups of related rules that carry the same type of information. Different distance metrics that capture relevant information from the rules for grouping are discussed. Two clustering algorithms that partition the rule base into groups of related rules are given. Two independent evaluation criteria are developed to measure the effectiveness of the grouping strategies. Results of the experiment with three sample rule bases are presented.

  18. Social workers as "experts" in the family court system: is evidence-based practice a missing link or host-created knowledge?

    Science.gov (United States)

    Prescott, Dana E

    2013-10-01

    The graduate school curriculum for social workers requires that students learn to critically distinguish between opinion-based knowledge and evidence-based practices, or empirically-supported interventions. Once graduated, licensed social workers are often called upon to offer diagnostic and predictive opinions as experts in a variety of macro-environments. When the family courts are that "host" environment, social workers proffer expert opinions that may categorize and label parents or children for purposes of a judge's allocation of physical or legal custody. In this article, it is suggested that the social work profession, within all three domains of education, practice, and research, should more precisely link the design and fidelity of an evidence-based practice (EBP) with its potential misapplication or warping when proffered as science in "host" environments like family courts. As Foucault and other scholars warn, the failure to verify that an intervention is applied correctly may actually enhance the risk of social injustice by interpreting and translating EBP knowledge in the non-empirical form of authority-by-license. This article, therefore, proposes that the social work profession, from the classroom to the field, has an obligation to thoroughly understand and engage interdisciplinary practices that assure respect for the strengths and limits of social work knowledge. PMID:24066636

  19. Expert systems and neural network applications in the nuclear industry

    International Nuclear Information System (INIS)

    Two areas in advanced digital technology have started to make important contributions to the safe and efficient use of nuclear energy: artificial intelligence expert systems and neural networks. (author)

  20. Development of an expert system for bone scintiscanning

    International Nuclear Information System (INIS)

    The fundamental conditions and requirements of an interactive expert system for diagnostic bone scintiscanning are discussed. An interactive system is useful for the following reasons: (1) It accelerates diagnostic evaluation and decisions by means of the interactive control of the program through the medical expert formulating his diagnostic first hypothesis, and (2) it avoids errors and allows standardization of findings and diagnoses due to interference-controlled monitoring by the expert system. Implementation of a 'special' domain model appears to be reasonable, as this system contains the generally accepted knowledge (textbook knowledge), but leaves it to the medical expert to determine the diagnostic 'rules' himself. In order to reduce on-line time and storage requirements, 'learning' and 'diagnostic' phases can be separated. Formulation and storage of typical findings and diagnoses already in the learning phase will contribute to reducing the volume of data belonging to particular cases. (orig.)

  1. Probabilistic methods of technical diagnostics based on expert knowledge

    International Nuclear Information System (INIS)

    A brief overview is given of the premises and theoretical starting points of various decision models that operate with the expert knowledge notion and are well suited to technical diagnostics purposes. With regard to their assets, probabilistic methods receive particular attention. It is demonstrated why expert systems are only suitable for consultations while the final decision must always (especially in vital problems) be left to man. (Z.M.). 1 fig., 23 refs

  2. A prototype expert system which assigns aviation maintenance personnel to squadron billets

    OpenAIRE

    Alston, Thomas Porter

    1987-01-01

    The technical feasibility of developing an expert system to support the assignment of squadron maintenance personnel to authorized billets is examined by building a prototype system. The rules used by an assistant maintenance officer to assign personnel are analyzed, and a database derived from the OPNAV 1000/2 and EDVR is designed. The prototype is developed for a micro-computer system using an expert system shell, Insight 2+, and is fully integrated with dBase III files

  3. Fault-tolerant flight control system combining expert system and analytical redundancy concepts

    Science.gov (United States)

    Handelman, Dave

    1987-01-01

    This research involves the development of a knowledge-based fault-tolerant flight control system. A software architecture is presented that integrates quantitative analytical redundancy techniques and heuristic expert system problem solving concepts for the purpose of in-flight, real-time failure accommodation.

  4. Diagnosing battery behavior with an expert system in Prolog

    International Nuclear Information System (INIS)

    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, and sent on to an IBM PC-AT. A BASIC program running on the 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. The expert system is implemented in the logic programming language Prolog. It has three modes of operation: fault diagnosis, status and advice, and decision support. An alert or failure of the system will trigger a diagnosis by the system to assist the operator. The operator can also request battery status information as well as a number of plots and histograms of recent battery behavior. Trends in EOC and EOD voltage, recharge ratio and divergence are used by the expert system in its analysis of battery status. A future enhancement to the system includes the statistical prediction of battery life. Incorporating learning into the expert system is another possible enhancement; This is a difficult task, but one which could promise great rewards in improved battery performance

  5. Experts' Knowledge Fusion in Model-Based Diagnosis Based on Bayes Networks

    Institute of Scientific and Technical Information of China (English)

    邓勇; 施文康

    2003-01-01

    In previous researches on a model-based diagnostic system, the components are assumed mutually independent. Howerver , the assumption is not always the case because the information about whether a component is faulty or not usually influences our knowledge about other components. Some experts may draw such a conclusion that "if component m1 is faulty, then component m2 may be faulty too". How can we use this experts' knowledge to aid the diagnosis? Based on Kohlas's probabilistic assumption-based reasoning method, we use Bayes networks to solve this problem. We calculate the posterior fault probability of the components in the observation state. The result is reasonable and reflects the effectiveness of the experts' knowledge.

  6. Development of an expert system for interpreting electron diffraction patterns

    International Nuclear Information System (INIS)

    A laboratory prototype of the expert system Electron for the automatic interpretation of electron diffraction patterns has been described. A high-level language providing storage and processing of knowledge is developed as well as user's interface for work with images. The Electron expert system can play the part of a consultant and also serve as a text-book on electron diffraction in teaching crystallography

  7. Application of expert systems in project management decision aiding

    Science.gov (United States)

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

    1987-01-01

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

  8. Hazardous Materials Transportation Expert System (HaMTES)

    International Nuclear Information System (INIS)

    The Hazardous Materials Transportation Expert System (HaMTES) was developed to provide straightforward and error-free application of hazardous materials transportation regulations. The interactive system is designed to give users access to knowledge and skills that previously could be obtained only from a highly trained and experienced expert in the hazardous materials shipping regulations. The HaMTES, Version 1.0, was based on the 1995 regulations. HaMTES, Version 2.0, includes the US regulatory changes recently enacted to align the US regulations with 1985 International Atomic Energy Agency (IAEA) Safety Series (SS) 6. Version 2.0 also includes several other enhancements suggested during the beta testing of Version 1.0. As DOE funding allows, it is anticipated that HaMTES will be the core of the hazardous materials module of the Automated Transportation Management System (ATMS), which was developed to provide field offices and site contractors with the automated tools necessary for transacting the increasingly complex transportation management tasks. This paper describes the development of HaMTES, its operating environment and architecture, enhancements to HaMTES, and the use of HaMTES

  9. An Expert System Applied in Construction Water Quality Monitoring

    Directory of Open Access Journals (Sweden)

    Leila Ooshaksaraie

    2011-01-01

    Full Text Available Problem statement: An untoward environmental impact of urban growth in Malaysia has been deterioration in a number of watercourses due to severe siltation and other pollutants from the construction site. Water quality monitoring is a plan for decision makers to take into account the adverse impacts of construction activities on the receiving water bodies. It is also a process for collecting the construction water quality monitoring, baseline data and standard level. Approach: In recent years, expert systems have been used extensively in different applications areas including environmental studies. In this study, expert system software -CWQM- developed by using Microsoft Visual Basic was introduced. CWQM to be used for water quality monitoring during construction activities was designed based on the legal process in Malaysia. Results: According to the water quality monitoring regulation enacted in Malaysia, construction activities require mandatory water quality monitoring plans duly approved by Department of Environment before staring activities. CWQM primarily aims to provide educational and support system for water quality monitoring engineers and decision-makers during construction activities. It displays water quality monitoring plan in report form, water sampling location in GIS format and water quality monitoring data in graph. Conclusion: When the use of CWQM in construction water quality monitoring becomes widespread, it is highly possible that it will be benefited in terms of having more accurate and objective decisions on construction projects which are mainly focused on reducing the stormwater pollution.

  10. ARTEMiS (Automated Robotic Terrestrial Exoplanet Microlensing Search): A possible expert-system based cooperative effort to hunt for planets of Earth mass and below

    Science.gov (United States)

    Dominik, M.; Horne, K.; Allan, A.; Rattenbury, N. J.; Tsapras, Y.; Snodgrass, C.; Bode, M. F.; Burgdorf, M. J.; Fraser, S. N.; Kerins, E.; Mottram, C. J.; Steele, I. A.; Street, R. A.; Wheatley, P. J.; Wyrzykowski, Ł.

    2008-03-01

    The technique of gravitational microlensing is currently unique in its ability to provide a sample of terrestrial exoplanets around both Galactic disk and bulge stars, allowing to measure their abundance and determine their distribution with respect to mass and orbital separation. Thus, valuable information for testing models of planet formation and orbital migration is gathered, constituting an important piece in the puzzle for the existence of life forms throughout the Universe. In order to achieve these goals in reasonable time, a well-coordinated effort involving a network of either 2m or 4×1m telescopes at each site is required. It could lead to the first detection of an Earth-mass planet outside the Solar system, and even planets less massive than Earth could be discovered. From April 2008, ARTEMiS (Automated Robotic Terrestrial Exoplanet Microlensing Search) is planned to provide a platform for a three-step strategy of survey, follow-up, and anomaly monitoring. As an expert system embedded in eSTAR (e-Science Telescopes for Astronomical Research), ARTEMiS will give advice for follow-up based on a priority algorithm that selects targets to be observed in order to maximize the expected number of planet detections, and will also alert on deviations from ordinary microlensing light curves by means of the SIGNALMEN anomaly detector. While the use of the VOEvent (Virtual Observatory Event) protocol allows a direct interaction with the telescopes that are part of the HTN (Heterogeneous Telescope Networks) consortium, additional interfaces provide means of communication with all existing microlensing campaigns that rely on human observers. The success of discovering a planet by microlensing critically depends on the availability of a telescope in a suitable location at the right time, which can mean within 10 min. To encourage follow-up observations, microlensing campaigns are therefore releasing photometric data in real time. On ongoing planetary anomalies, world

  11. Diagnosis of Diabetes using Correlation fuzzy logic in Fuzzy Expert System

    Directory of Open Access Journals (Sweden)

    M. Kalpana

    2012-01-01

    Full Text Available Fuzzy expert system framework constructs large scale knowledge based system effectively for diabetes. Fuzzy Expert System helps the medical practitioners to solve decision problem. The components of correlation fuzzy determination mechanism are determination logic and knowledge base. The fuzzification interface converts the crisp values into fuzzy values for the diagnosis of diabetes. The determination logic evaluates the effect on the number of membership functions, the shape of membership functions and the effect of fuzzy operators. Correlation fuzzy logic is computed for fuzzy numbers and membership function. Knowledge base is constructed by fuzzy if-then rules. Defuzzification interface converts the resulting fuzzy set into crisp values. The result of the proposed method is compared with earlier method using accuracy as metrics. The proposed fuzzy expert system can work more effectively for diabetes application and also improves the accuracy of fuzzy expert system.

  12. THE DEVELOPMENT OF AN EXPERT CAR FAILURE DIAGNOSIS SYSTEM WITH BAYESIAN APPROACH

    OpenAIRE

    Widodo Budiharto

    2013-01-01

    In this study we propose a model of an Expert System to diagnose a car failure and malfunction using Bayesian Approach. An expert car failure diagnosis system is a computer system that uses specific knowledge which is owned by an expert to resolve car problems. Our specific system consists of knowledge base and solution to diagnose failure of car from Toyota Avanza, one of the favorite car used in Indonesia today and applying Bayesian approach for knowing the belief of the solution. We build ...

  13. 基于模糊Petri网推理的核动力装置专家系统研究%Study of Nuclear Power Plant Expert System Based on Fuzzy Petri Net Reasoning

    Institute of Scientific and Technical Information of China (English)

    彭俏; 郭立峰; 马杰

    2012-01-01

    With the increase of the nuclear power plant expert system knowledge base, the consistency checking of knowledge base becomes difficult, and the diagnostic reasoning efficiency of the system also decreases. To solve this problem, fuzzy Petri net was used in knowledge representation and reasoning of the expert system. Fuzzy Petri net analysis techniques was used in calibration and maintenance of the knowledge base, and the diagnostic reasoning was carried out based on diagnostic rules and operating mechanism of Petri net. Simulation results show that the fuzzy Petri net is used in expert system, expert system can effectively carry out the knowledge base consistency test and fault diagnostic reasoning.%随着核动力装置专家系统知识库的增大,知识库的一致性检验变得困难,系统的诊断推理效率也随之下降.为了解决这一问题,将模糊Petri网用于专家系统的知识表示和推理.利用模糊Petri网的分析技术,对知识库进行校验和维护,以诊断规则的Petri网模型为基础,遵照Petri网的运行机制进行诊断推理.仿真实验表明,将模糊Petri网应用于专家系统,可有效进行知识库一致性检验和故障诊断推理.

  14. Focusing on the human factor in future expert systems

    International Nuclear Information System (INIS)

    Technological advances in the area of artificial intelligence have produced expert systems that hold much promise for the design, operation, and maintenance of complex systems such as nuclear power plants. Such systems have been designed and implemented in a wide variety of task settings. In spite of the gains that have been made in the application of expert systems, there are still several difficult problems which have yet to be resolved. One of these problems is a frequently noted lack of user acceptance of newly fielded intelligent systems. This lack of acceptance can be attributed to a variety of factors, including unfamiliarity with computer technology, difficulty in adjusting to interface mechanisms, fear that the system was designed to replace the human operator, and a feeling that the human can perform the job better than the system. Some of the problems may be related to the fact that expert system design is essentially in it's infancy

  15. YUCSA: A CLIPS expert database system to monitor academic performance

    Science.gov (United States)

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

    1991-01-01

    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.

  16. Application of an expert system to optimize reservoir performance

    International Nuclear Information System (INIS)

    The main challenge of oil displacement by an injected fluid, such as in Enhanced Oil Recovery (EOR) processes, is to reduce the cost and improve reservoir performance. An optimization methodology, combined with an economic model, is implemented into an expert system to optimize the net present value of full field development with an EOR process. The approach is automated and combines an economic package and existing numerical reservoir simulators to optimize the design of a selected EOR process using sensitivity analysis. The EOR expert system includes three stages of consultations: (1) select an appropriate EOR process on the basis of the reservoir characteristics, (2) prepare appropriate input data sets to design the selected EOR process using existing numerical simulators, and (3) apply the discounted-cash-flow methods to the optimization of the selected EOR process to find out under what conditions at current oil prices this EOR process might be profitable. The project profitability measures were used as the decision-making variables in an iterative approach to optimize the design of the EOR process. The economic analysis is based on the estimated recovery, residual oil in-place, oil price, and operating costs. Two case studies are presented for two reservoirs that have already been produced to their economic limits and are potential candidates for surfactant/polymer flooding, and carbon-dioxide flooding, respectively, or otherwise subject to abandonment. The effect of several design parameters on the project profitability of these EOR processes was investigated

  17. The Diagnostic Value of Skin Disease Diagnosis Expert System

    Science.gov (United States)

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

    2016-01-01

    Background: Evaluation is a necessary measure to ensure the effectiveness and efficiency of all systems, including expert systems. The aim of this study was to determine the diagnostic value of expert system for diagnosis of complex skin diseases. Methods: A case-control study was conducted in 2015 to determine the diagnostic value of an expert system. The study population included patients who were referred to Razi Specialized Hospital, affiliated to Tehran University of Medical Sciences. The control group was selected from patients without the selected skin diseases. Data collection tool was a checklist of clinical signs of diseases including pemphigus vulgaris, lichen planus, basal cell carcinoma, melanoma, and scabies. The sample size formula estimated 400 patients with skin diseases selected by experts and 200 patients without the selected skin diseases. Patient selection was undertaken with randomized stratified sampling and their sign and symptoms were logged into the system. Physician’s diagnosis was determined as the gold standard and was compared with the diagnosis of expert system by SPSS software version 16 and STATA. Kappa statistics, indicators of sensitivity, specificity, accuracy and confidence intervals were calculated for each disease. An accuracy of 90% was considered appropriate. Results: Comparing the results of expert system and physician’s diagnosis at the evaluation stage showed an accuracy of 97.1%, sensitivity of 97.5% and specificity of 96.5% The Kappa test indicated a high agreement of 93.6%. Conclusion: The expert system can diagnose complex skin diseases. Development of such systems is recommended to identify all skin diseases. PMID:27046943

  18. Research and Design of a Fuzzy Neural Expert System

    Institute of Scientific and Technical Information of China (English)

    王仕军; 王树林

    1995-01-01

    We have developed a fuzzy neural expert system that has the precision and learning ability of a neural network.Knowledge is acquired from domain experts as fuzzy rules and membership functions.Then,they are converted into a neural network which implements fuzzy inference without rule matching.The neural network is applied to problem-solving and learns from the data obtained during operation to enhance the accuracy.The learning ability of the neural network makes it easy to modify the membership functions defined by domain experts.Also,by modifying the weights of neural networks adaptively,the problem of belief propagation in conventional expert systems can be solved easily.Converting the neural network back into fuzzy rules and membership functions helps explain the inner representation and operation of the neural network.

  19. The Expert System Application For Inspection Of The Power Plants

    International Nuclear Information System (INIS)

    This paper describes the application of expert system to evaluate and consider the problem encountered in this fields are complex and time consuming. As as example several factors affecting system voltage selections are load magnitude, distance from the main power supply, safety, standards, cost of utilization and service system equipment, and future load growth. The inspection deal with interactions between alternatives, uncertainties, and important non financial parameter. Several complex problems are multiple objective functions, multiple constraints, complex system interactions, the need for accuracy, the need for trade off, optimization, and coordination of the decision making process. ASDEP is one of the expert system for electric power plant design that describe the application of the artificial intelligence to design of a power plan's electrical auxiliary system. In this circumstance this paper will elaborate another aspect for using the expert system in the inspection

  20. Expert system for failures detection and non-monotonic reasoning

    International Nuclear Information System (INIS)

    This paper presents the development of a shell denominated TIGER that has the purpose to serve as environment to the development of expert systems in diagnosis of faults in industrial complex plants. A model of knowledge representation and an inference engine based on non monotonic reasoning has been developed in order to provide flexibility in the representation of complex plants as well as performance to satisfy restrictions of real time. The TIGER is able to provide both the occurred fault and a hierarchical view of the several reasons that caused the fault to happen. As a validation of the developed shell a monitoring system of the critical safety functions of Angra-1 has been developed. 7 refs., 7 figs., 2 tabs

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

    International Nuclear Information System (INIS)

    An expert system for determining the operability of a specified pump is described comprising: a set of pumps of which the specified pump is a member; means for measuring physical parameters representative to the operations condition each pump of said set of pumps; means for acquiring data generated by said measuring means; an artificial-intelligence based inference engine coupled to said data acquiring means where said inference engine applies a sequential probability ratio test to statistically evaluate said acquired data to determine a status for the specified pump and its respective measuring means by continually monitoring and comparing changes in a specific operational parameter signal acquired from a plurality of measurement means; means for transferring said status generated by said interference engine to an output system

  2. Spacelab Data Processing Facility (SLDPF) quality assurance expert systems development

    Science.gov (United States)

    Basile, Lisa R.; Kelly, Angelita C.

    1987-01-01

    The Spacelab Data Processing Facility (SLDPF) is an integral part of the Space Shuttle data network for missions that involve attached scientific payloads. Expert system prototypes were developed to aid in the performance of the quality assurance function of the Spacelab and/or Attached Shuttle Payloads processed telemetry data. The Spacelab Input Processing System (SIPS) and the Spacelab Output Processing System (SOPS), two expert systems, were developed to determine their feasibility and potential in the quality assurance of processed telemetry data. The capabilities and performance of these systems are discussed.

  3. Combining NDE and fracture mechanics by artifical intelligence expert systems techniques

    International Nuclear Information System (INIS)

    This paper reports on the development of a PC-based expert system for non-destructive evaluation. Software tools from the expert systems subfield of artificial intelligence are being used to combine both NDE and fracture mechanics algorithms into one, unified package. The system incorporates elements of computer-enhanced ultrasonic signal processing, featuring artificial intelligence learning capability, state-of-the-art fracture mechanics analytical tools, and all relevant metallurgical and design data necessary to emulate the decisions of the panel(s) of experts typically involved in generating and dispositioning NDE data

  4. Automatic seismic support design of piping system by an object oriented expert system

    International Nuclear Information System (INIS)

    The seismic support design of piping systems of nuclear power plants requires many experienced engineers and plenty of man-hours, because the seismic design conditions are very severe, the bulk volume of the piping systems is hyge and the design procedures are very complicated. Therefore we have developed a piping seismic design expert system, which utilizes the piping design data base of a 3 dimensional CAD system and automatically determines the piping support locations and support styles. The data base of this system contains the maximum allowable seismic support span lengths for straight piping and the span length reduction factors for bends, branches, concentrated masses in the piping, and so forth. The system automatically produces the support design according to the design knowledge extracted and collected from expert design engineers, and using design information such as piping specifications which give diameters and thickness and piping geometric configurations. The automatic seismic support design provided by this expert system achieves in the reduction of design man-hours, improvement of design quality, verification of design result, optimization of support locations and prevention of input duplication. In the development of this system, we had to derive the design logic from expert design engineers and this could not be simply expressed descriptively. Also we had to make programs for different kinds of design knowledge. For these reasons we adopted the object oriented programming paradigm (Smalltalk-80) which is suitable for combining programs and carrying out the design work

  5. The Knowledge Bases of the Expert Teacher.

    Science.gov (United States)

    Turner-Bisset, Rosie

    1999-01-01

    Presents a model for knowledge bases for teaching that will act as a mental map for understanding the complexity of teachers' professional knowledge. Describes the sources and evolution of the model, explains how the model functions in practice, and provides an illustration using an example of teaching in history. (CMK)

  6. The Expert System For Safety Assesment Of Kartini Reactor Operation And Maintenance

    International Nuclear Information System (INIS)

    An expert system for safety assessment of Kartini reactor operation and maintenance based on fuzzy logic method has been made. The expert system is developed from the Fuzzy Expert System Tools (FEST), i.e. by developing the knowledge base and data base files of Kartini research reactor system and operations with an inference engine based on FEST. The knowledge base is represented in the procedural knowledge as heuristic rules or generally known as rule-base in the from of If-then rule. The fuzzy inference process and the conclusion of the rule is done by FEST based on direct chaining method with interactive as well as non-interactive modes. The safety assessment of Kartini reactor based on this method gives more realistic value than the conventional method or binary logic

  7. System reliability analysis with natural language and expert's subjectivity

    International Nuclear Information System (INIS)

    This paper introduces natural language expressions and expert's subjectivity to system reliability analysis. To this end, this paper defines a subjective measure of reliability and presents the method of the system reliability analysis using the measure. The subjective measure of reliability corresponds to natural language expressions of reliability estimation, which is represented by a fuzzy set defined on [0,1]. The presented method deals with the dependence among subsystems and employs parametrized operations of subjective measures of reliability which can reflect expert 's subjectivity towards the analyzed system. The analysis results are also expressed by linguistic terms. Finally this paper gives an example of the system reliability analysis by the presented method

  8. Embedded expert system for space shuttle main engine maintenance

    Science.gov (United States)

    Pooley, J.; Thompson, W.; Homsley, T.; Teoh, W.; Jones, J.; Lewallen, P.

    1987-01-01

    The SPARTA Embedded Expert System (SEES) is an intelligent health monitoring system that directs analysis by placing confidence factors on possible engine status and then recommends a course of action to an engineer or engine controller. The technique can prevent catastropic failures or costly rocket engine down time because of false alarms. Further, the SEES has potential as an on-board flight monitor for reusable rocket engine systems. The SEES methodology synergistically integrates vibration analysis, pattern recognition and communications theory techniques with an artificial intelligence technique - the Embedded Expert System (EES).

  9. Application of expert system and neural network in diagnosis during BWR ATWS sequences

    International Nuclear Information System (INIS)

    A prototype operator aid system employing an expert system and neural network is designed to help the plant operator during a BWR ATWS accident. The expert system is the driver of the inference engine, it consists of IF -- THEN -- and DO -- format rules developed from the knowledge base. A back propagation neural network is used when the operator can not supply the needed information to the expert system. Data of various plant parameters are fed into a pretrained neural network for transient identification. The case signature is then fed into the expert system, where a decision is made regarding the proper operator response. Testing results show that the neural network can retrieve the transients correctly even when random noise is added or the input data is incomplete. The computer simulation of the integrated system has also been demonstrated

  10. Online Patent Searching: Guided by an Expert System.

    Science.gov (United States)

    Ardis, Susan B.

    1990-01-01

    Describes the development of an expert system for online patent searching that uses menu driven software to interpret the user's knowledge level and the general nature of the search problem. The discussion covers the rationale for developing such a system, current system functions, cost effectiveness, user reactions, and plans for future…

  11. Automated cloud classification with a fuzzy logic expert system

    Science.gov (United States)

    Tovinkere, Vasanth; Baum, Bryan A.

    1993-01-01

    An unresolved problem in current cloud retrieval algorithms concerns the analysis of scenes containing overlapping cloud layers. Cloud parameterizations are very important both in global climate models and in studies of the Earth's radiation budget. Most cloud retrieval schemes, such as the bispectral method used by the International Satellite Cloud Climatology Project (ISCCP), have no way of determining whether overlapping cloud layers exist in any group of satellite pixels. One promising method uses fuzzy logic to determine whether mixed cloud and/or surface types exist within a group of pixels, such as cirrus, land, and water, or cirrus and stratus. When two or more class types are present, fuzzy logic uses membership values to assign the group of pixels partially to the different class types. The strength of fuzzy logic lies in its ability to work with patterns that may include more than one class, facilitating greater information extraction from satellite radiometric data. The development of the fuzzy logic rule-based expert system involves training the fuzzy classifier with spectral and textural features calculated from accurately labeled 32x32 regions of Advanced Very High Resolution Radiometer (AVHRR) 1.1-km data. The spectral data consists of AVHRR channels 1 (0.55-0.68 mu m), 2 (0.725-1.1 mu m), 3 (3.55-3.93 mu m), 4 (10.5-11.5 mu m), and 5 (11.5-12.5 mu m), which include visible, near-infrared, and infrared window regions. The textural features are based on the gray level difference vector (GLDV) method. A sophisticated new interactive visual image Classification System (IVICS) is used to label samples chosen from scenes collected during the FIRE IFO II. The training samples are chosen from predefined classes, chosen to be ocean, land, unbroken stratiform, broken stratiform, and cirrus. The November 28, 1991 NOAA overpasses contain complex multilevel cloud situations ideal for training and validating the fuzzy logic expert system.

  12. Present status of expert system development at Power Reactor and Nuclear Fuel Development Corporation

    International Nuclear Information System (INIS)

    The use of an expert system is expected to permit labor saving, decreased exposure, reduced costs and improved safety. The Power Reactor and Nuclear Fuel Development Corporation has developed and introduced expert systems in various areas of nuclear fuel cycle technical development. The present report outlines four of these systems: the uranium resources exploration expert system, plutonium conversion facilities operation support expert system, experimental fast reactor 'Joyo' operation support system and experimental fast reactor 'Joyo' maintenance support system. Geological information on uranium deposit is incorporated in the uranium resources exploration expert system, which consists of a knowledge base, inference mechanism and knowledge acquisition editor. The plutonium conversion facilities operation support expert system can perform such functions as acquisition and processing of knowledge; abnormality diagnosis and operation guidance; and processing of abnormality diagnosis results. The system detects an accident, diagnoses the abnormalities, infers the cause of the abnormalities, finds the required countermeasures, and displays the conditions, cause of the abnormalities and countermeasures. The 'Joyo' operation support system is used for displaying countermeasures against an accident, sequence minitoring, prediction of plant conditions, etc. The 'Joyo' maintenance support system has the functions of abnormality detection, inference of the cause of abnormality, and print-out of required countermeasures, influence of the accident, etc. (Nogami, K.)

  13. Sensory-based expert monitoring and control

    Science.gov (United States)

    Yen, Gary G.

    1999-03-01

    Field operators use their eyes, ears, and nose to detect process behavior and to trigger corrective control actions. For instance: in daily practice, the experienced operator in sulfuric acid treatment of phosphate rock may observe froth color or bubble character to control process material in-flow. Or, similarly, (s)he may use acoustic sound of cavitation or boiling/flashing to increase or decrease material flow rates in tank levels. By contrast, process control computers continue to be limited to taking action on P, T, F, and A signals. Yet, there is sufficient evidence from the fields that visual and acoustic information can be used for control and identification. Smart in-situ sensors have facilitated potential mechanism for factory automation with promising industry applicability. In respond to these critical needs, a generic, structured health monitoring approach is proposed. The system assumes a given sensor suite will act as an on-line health usage monitor and at best provide the real-time control autonomy. The sensor suite can incorporate various types of sensory devices, from vibration accelerometers, directional microphones, machine vision CCDs, pressure gauges to temperature indicators. The decision can be shown in a visual on-board display or fed to the control block to invoke controller reconfigurration.

  14. Expert systems for automated maintenance of a Mars oxygen production system

    Science.gov (United States)

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

    1989-01-01

    A prototype expert system was developed for maintaining autonomous operation of a Mars oxygen production system. Normal operation conditions and failure modes according to certain desired criteria are tested and identified. Several schemes for failure detection and isolation using forward chaining, backward chaining, knowledge-based and rule-based are devised to perform several housekeeping functions. These functions include self-health checkout, an emergency shut down program, fault detection and conventional control activities. An effort was made to derive the dynamic model of the system using Bond-Graph technique in order to develop the model-based failure detection and isolation scheme by estimation method. Finally, computer simulations and experimental results demonstrated the feasibility of the expert system and a preliminary reliability analysis for the oxygen production system is also provided.

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

    International Nuclear Information System (INIS)

    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

  16. Principles, Procedures and Rules in an Expert System for Information Retrieval.

    Science.gov (United States)

    Shoval, Peretz

    1985-01-01

    Describes an expert system which provides users who have information needs with terms to express search queries; introduces principles on which the system's behavior is based; describes the system's main procedures and decision rules; presents an example of system use; and outlines possible improvements in system search and evaluation procedures.…

  17. 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)

    1995-03-01

    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.

  18. Are expert systems needed on the power exchange?

    International Nuclear Information System (INIS)

    The goal of this masters thesis is to investigate whether it is possible to improve the activities at the power production unit (PDP) at Sydkraft with the help of expert systems. Another goal is that the produced result should work as an education material for the production operators. Therefore the work contains a detailed description of the power exchange and the factors that influence it, in addition to a description of the work tasks of the operators. The conclusions are, first, that an embedded critiquing system would enable a quicker training of new operators, while also giving the more experienced operators feedback on their decisions. Secondly, the water storage operation should be documented, to create a basis for the development of an expert system, and to create more material for education. The thesis also suggests a new model for the development of expert systems in areas where it is not known whether such a solution is possible. (au)

  19. Knowledge Processing Method of Fault Diagnosis Expert Systems for Letter Sorting Equipment

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Based on the analysis of fault diagnosis knowledge of lettersorting machine, this paper proposes a processing method by which the fault diagnosis knowledge is divided into exact knowledge, inadequate knowledge and fuzzy knowledge. Then their presenting and implementing form in fault diagnosis expert system is discussed and studied. It is proved that the expert system has good feasibility in the field of the diagnosis of letter sorting machine.

  20. Expert Systems for Environmental Screening. An Application in the Lower Mekong Basin

    OpenAIRE

    K. Fedra; Winkelbauer, L.; Pantulu, V.R.

    1991-01-01

    This research report describes MEXSES, a rule-based expert system for environmental impact assessment at a screening level, implemented for the analysis of water resources development projects in the Lower Mekong Basin. The report makes a brief review of environmental impact assessment methods and tools. It discusses expert systems technology, with emphasis on environmental applications. The Lower Mekong Basin and its specific environmental problems, as well as the Mekong Secretariat's e...