WorldWideScience

Sample records for supervisory expert system

  1. 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

  2. OFMspert - Inference of operator intentions in supervisory control using a blackboard architecture. [operator function model expert system

    Science.gov (United States)

    Jones, Patricia S.; Mitchell, Christine M.; Rubin, Kenneth S.

    1988-01-01

    The authors proposes an architecture for an expert system that can function as an operator's associate in the supervisory control of a complex dynamic system. Called OFMspert (operator function model (OFM) expert system), the architecture uses the operator function modeling methodology as the basis for the design. The authors put emphasis on the understanding capabilities, i.e., the intent referencing property, of an operator's associate. The authors define the generic structure of OFMspert, particularly those features that support intent inferencing. They also describe the implementation and validation of OFMspert in GT-MSOCC (Georgia Tech-Multisatellite Operations Control Center), a laboratory domain designed to support research in human-computer interaction and decision aiding in complex, dynamic systems.

  3. Modelling supervisory controller for hybrid power systems

    Energy Technology Data Exchange (ETDEWEB)

    Pereira, A.; Bindner, H.; Lundsager, P. [Risoe National Lab., Roskilde (Denmark); Jannerup, O. [Technical Univ. of Denmark, Dept. of Automation, Lyngby (Denmark)

    1999-03-01

    Supervisory controllers are important to achieve optimal operation of hybrid power systems. The performance and economics of such systems depend mainly on the control strategy for switching on/off components. The modular concept described in this paper is an attempt to design standard supervisory controllers that could be used in different applications, such as village power and telecommunication applications. This paper presents some basic aspects of modelling and design of modular supervisory controllers using the object-oriented modelling technique. The functional abstraction hierarchy technique is used to formulate the control requirements and identify the functions of the control system. The modular algorithm is generic and flexible enough to be used with any system configuration and several goals (different applications). The modularity includes accepting modification of system configuration and goals during operation with minor or no changes in the supervisory controller. (au)

  4. Expert System

    DEFF Research Database (Denmark)

    Hildebrandt, Thomas Troels; Cattani, Gian Luca

    2016-01-01

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

  5. Modular supervisory controller for hybrid power systems

    Energy Technology Data Exchange (ETDEWEB)

    Lemos Pereira, A. de

    2000-06-01

    The power supply of remote places has been commonly provided by thermal power plants, usually diesel generators. Although hybrid power systems may constitute the most economical solution in many applications their widespread application to the electrification schemes of remote areas still depends on improvements in the issues of design and operation control. The main limitations of the present hybrid power systems technology, which are identified in this work, are related to the control and supervision of the power system. Therefore this thesis focuses on the modularity of supervisory controllers in order to design cost-competitive and reliable hybrid power systems. The modular supervisory controller created in this project is considered an important part of a system design approach that aims to overcome the technical difficulties of the current engineering practice and contribute to open the market of hybrid power systems. The term modular refers to a set of design characteristics that allows the use of basically the same supervisory controller in different projects. The modularization and standardisation of the controller include several issues such as interfacing components, communication protocols, modelling, programming and control strategies. The modularity can reduce the highly specialised system engineering related to the integration of components, operation and control. It can also avoid the high costs for installation, service and maintenance. A modular algorithm for supervisory controllers has been developed (a Matlab program called SuperCon) using an object-oriented design and it has been tested through several simulations using different hybrid system configurations and different control strategies. This thesis presents a complete control system design process which can be used as the basis for the development and implementation of intelligent and autonomous supervisory controllers for hybrid power systems with modular characteristics. (au)

  6. Expert Systems: What Is an Expert System?

    Science.gov (United States)

    Duval, Beverly K.; Main, Linda

    1994-01-01

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

  7. Expert Systems: What Is an Expert System?

    Science.gov (United States)

    Duval, Beverly K.; Main, Linda

    1994-01-01

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

  8. Expert systems for electric power system operation. Denryoku keito un[prime]yo expert system

    Energy Technology Data Exchange (ETDEWEB)

    Kunugi, M.; Shimada, K.; Nagata, J. (Toshiba Corp., Tokyo (Japan))

    1992-07-01

    This review article describes recent noteworthy technological trends in the expert systems for electric power system operation. These technological trends include the development of domain shell for the purpose of facilitating and insuring system development, the integration of expert systems with a conventional energy management system and a SCADA (supervisory control and data acquisition) system, and the integration of an expert system with fuzzy-logic applications and a neural network. This paper also introduces two recent expert systems for electric power system operation. One is the integrated expert system for emergency operations delivered to the Miyagi Load-Dispatching Office of Tohoku Electric Power Company, which consists of the accident reasoning expert system, the inteligent alarm processing, and the accident restoration procedure expert system. Another one is the voltage reactive power control system delivered to Chubu Electric Power Company. 4 refs., 3 figs., 1 tab.

  9. Expert Systems: An Overview.

    Science.gov (United States)

    Adiga, Sadashiv

    1984-01-01

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

  10. What Are Expert Systems?

    Science.gov (United States)

    d'Agapeyeff, A.

    1986-01-01

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

  11. Expert systems in the process industries

    Science.gov (United States)

    Stanley, G. M.

    1992-01-01

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

  12. Development Expert System

    Institute of Scientific and Technical Information of China (English)

    CAI Heng

    2010-01-01

    The expert system is a high-level technology.It is a sub-field of artificial intelligence.We demonstrated the character and software evaluation,carrying out an initial study of expert system.A good development expert system was developed.

  13. Tactical Weather Expert System.

    Science.gov (United States)

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

  14. Review of Supervisory Control and Data Acquisition (SCADA) Systems

    Energy Technology Data Exchange (ETDEWEB)

    Reva Nickelson; Briam Johnson; Ken Barnes

    2004-01-01

    A review using open source information was performed to obtain data related to Supervisory Control and Data Acquisition (SCADA) systems used to supervise and control domestic electric power generation, transmission, and distribution. This report provides the technical details for the types of systems used, system disposal, cyber and physical security measures, network connections, and a gap analysis of SCADA security holes.

  15. 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

  16. Supervisory Fertigation System Using Interactive Graphical Supervisory Control and Data Acquisition System

    Directory of Open Access Journals (Sweden)

    Fadhli Dzul Mohd Fauzi

    2016-08-01

    Full Text Available Mostly, farmers spent most of their time to supervise wide area of planting and it exhausted. The objective of this project is to develop an advanced monitoring system. In this paper, an attempt has been made by using Interactive Graphical Supervisory Control and Data Acquisition (SCADA System (IGSS software and Programmable Logic Controller (PLC which integrate with a fertigation system to solve the problem. The SCADA monitoring system is built based on Graphical User Interface (GUI by using IGSS software. As a result, the project is able to control and supervise the fertigation system prototype process smoothly. The project operates in two conditions which indicate the water level in tank and detect the humidity in the soil, thus the user can supervise their plant without perforce to the site of planting area. It can support two ways communication system, which is the main uniqueness and the special features of the project compared to today’s technology. The project can be improved by using the analog type device, where user can see a real time data on screen through supervised mode. The idea of making current project to online is also one of the improvements that can be made.

  17. Supervisory Control System Architecture for Advanced Small Modular Reactors

    Energy Technology Data Exchange (ETDEWEB)

    Cetiner, Sacit M [ORNL; Cole, Daniel L [University of Pittsburgh; Fugate, David L [ORNL; Kisner, Roger A [ORNL; Melin, Alexander M [ORNL; Muhlheim, Michael David [ORNL; Rao, Nageswara S [ORNL; Wood, Richard Thomas [ORNL

    2013-08-01

    This technical report was generated as a product of the Supervisory Control for Multi-Modular SMR Plants project within the Instrumentation, Control and Human-Machine Interface technology area under the Advanced Small Modular Reactor (SMR) Research and Development Program of the U.S. Department of Energy. The report documents the definition of strategies, functional elements, and the structural architecture of a supervisory control system for multi-modular advanced SMR (AdvSMR) plants. This research activity advances the state-of-the art by incorporating decision making into the supervisory control system architectural layers through the introduction of a tiered-plant system approach. The report provides a brief history of hierarchical functional architectures and the current state-of-the-art, describes a reference AdvSMR to show the dependencies between systems, presents a hierarchical structure for supervisory control, indicates the importance of understanding trip setpoints, applies a new theoretic approach for comparing architectures, identifies cyber security controls that should be addressed early in system design, and describes ongoing work to develop system requirements and hardware/software configurations.

  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. Supervisory Control of Fuzzy Discrete Event Systems Based on Agent

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    FDES (fuzzy discrete event systems) can effectively represent a kind of complicated systems involving deterministic uncertainties and vagueness as well as human subjective observation and judgement from the view of discrete events, here the information system is divided into some independent intelligent entitative Agents. The concept of information processing state based on Agents was proposed. The processing state of Agent can be judged by some assistant observation parameters about the Agent and its environment around, and the transition among these states can be represented by FDES based on rules. In order to ensure the harmony of the Agents for information processing, its upstream and downstream buffers are considered in the modeling of the Agent system,and the supervisory controller based on FDES is constructed. The processing state of Agent can be adjusted by the supervisory controller to improve the stability of the system and the efficiency of resource utilization during the process according to the control policies. The result of its application was provided to illustrate the validity of the supervisory adjustment.

  20. Ubiquitous Supervisory System Based on Social Contexts Using Ontology

    Directory of Open Access Journals (Sweden)

    Satoru Izumi

    2009-01-01

    Full Text Available As described in this paper, we propose a supervisory system that considers actual situations and social aspects of users in a ubiquitous computing environment. To realize gentle and safe supervision while providing efficient supervisory services, the system must recognize the situations of a watched person, such as the person's physical condition. To achieve this, we have proposed a ubiquitous supervisory system "uEyes", which introduces Social Context Awareness: a distinguishing feature for supervision. Using this feature, the system can combine environmental information acquired from sensors in the real world and common-sense knowledge related to human activities in daily life. As described in this paper, we specifically examine design of Social Context Awareness using ontology technologies. Based on this advanced feature, a live video streaming system is configured autonomously depending on the users' circumstances in runtime. We implemented a uEyes prototype for supervising elderly people and performed some experiments based on several scenarios. Based on those experimental results, we confirmed that the social contexts are handled effectively to support the supervision.

  1. Supervisory Control of Networked Control Systems

    Science.gov (United States)

    2006-01-15

    REPORT: January 15, 2006 Problem Statement: A networked control system is a control system whose feedback path is realized over a computer...theoretical bounds derived in [Ling03a]. 6. The feedback information in a networked control system is quantized due to the digital nature of

  2. The Application of the Distribution Supervisory system of Computer in Substation of 500 KV

    Institute of Scientific and Technical Information of China (English)

    Qi,Xinbo; Chang,Wenping

    2005-01-01

    This paper put forward a kind of new supervisory system of computer - the distribution supervisory system of computer. The system is arranged through scattering, stratified control, which is developmental, and with powerful mutual operating ness etc. The practical experience of the system for three years in Huajia (Henan) indicated that the system is reliable,safety, real-time and economy.

  3. Design and Implementation of Real Time Remote Supervisory System

    Directory of Open Access Journals (Sweden)

    Mr. Mudit Goenka,

    2015-02-01

    Full Text Available In today’s fast growing communication environment and rapid exchange of data in networking field has triggered us to develop a home based remote supervisory monitoring system. In the present paper the physiological parameters of the patient such as body temperature, ECG, Pulse rate and Oxygen Saturation is displayed in MATLAB graphical user interface which is processed using ARM7 LPC2138. In case any emergency persist and parameters goes abnormal over the optimum level then a buzzer will ring to alert the caretaker. And the vital parameters will be displayed on the patient side computer and an automatic SMS will be sent to the doctor using GSM interface.

  4. Expert Systems Research.

    Science.gov (United States)

    Duda, Richard O.; Shortliffe, Edward H.

    1983-01-01

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

  5. 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...

  6. Metric Selection for Evaluation of Human Supervisory Control Systems

    Science.gov (United States)

    2009-12-01

    Conceptual model of human-supervisory control (modified from Pina , Cummings et al. (2008...42  4 LIST OF TABLES Table 1. Human supervisory control metric classes ( Pina , Donmez...literature in terms of human- autonomous vehicle interaction (Crandall & Cummings, 2007; Olsen & Goodrich, 2003; Pina , Cummings, Crandall, & Della Penna

  7. Expert Systems Development Methodology

    Science.gov (United States)

    1989-07-28

    expert systems has been hardware development. In the middle 1950’s at the very birth of AI, hardware was large very slow and extremely expensive. In...into another report. For example, MOBPLEX provides output into the Lotus spreadsheet as a semi-automated destination. From the spreadsheet the user of...designed on top of the Lotus 1-2- 3 interface. Lotus was used because it was decided there was no need to build a powerful ad hoc report generator

  8. Expert and Knowledge Based Systems.

    Science.gov (United States)

    Demaid, Adrian; Edwards, Lyndon

    1987-01-01

    Discusses the nature and current state of knowledge-based systems and expert systems. Describes an expert system from the viewpoints of a computer programmer and an applications expert. Addresses concerns related to materials selection and forecasts future developments in the teaching of materials engineering. (ML)

  9. Expert Systems and Special Education.

    Science.gov (United States)

    Hofmeister, Alan M.; Ferrara, Joseph M.

    1986-01-01

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

  10. Optimization of Fuzzy Logic Controller for Supervisory Power System Stabilizers

    Directory of Open Access Journals (Sweden)

    Y. A. Al-Turki

    2012-01-01

    Full Text Available This paper presents a powerful supervisory power system stabilizer (PSS using an adaptive fuzzy logic controller driven by an adaptive fuzzy set (AFS. The system under study consists of two synchronous generators, each fitted with a PSS, which are connected via double transmission lines. Different types of PSS-controller techniques are considered. The proposed genetic adaptive fuzzy logic controller (GAFLC-PSS, using 25 rules, is compared with a static fuzzy logic controller (SFLC driven by a fixed fuzzy set (FFS which has 49 rules. Both fuzzy logic controller (FLC algorithms utilize the speed error and its rate of change as an input vector. The adaptive FLC algorithm uses a genetic algorithmto tune the parameters of the fuzzy set of each PSS. The FLC’s are simulated and tested when the system is subjected to different disturbances under a wide range of operating points. The proposed GAFLC using AFS reduced the computational time of the FLC, where the number of rules is reduced from 49 to 25 rules. In addition, the proposed adaptive FLC driven by a genetic algorithm also reduced the complexity of the fuzzy model, while achieving a good dynamic response of the system under study.

  11. 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.

  12. Design criteria and realization of a computerized supervisory system for nuclear applications

    Energy Technology Data Exchange (ETDEWEB)

    Maestri, F.; Mangiarotti, M.; Maciocco, G.

    1987-11-01

    This paper describes the design criteria and the realization modalities of a computerized supervisory system for nuclear applications. The man-machine interface design aspects for the Alto Lazio Nuclear Power Plant control room are discussed.

  13. Expert system aids reliability

    Energy Technology Data Exchange (ETDEWEB)

    Johnson, A.T. [Tennessee Gas Pipeline, Houston, TX (United States)

    1997-09-01

    Quality and Reliability are key requirements in the energy transmission industry. Tennessee Gas Co. a division of El Paso Energy, has applied Gensym`s G2, object-oriented Expert System programming language as a standard tool for maintaining and improving quality and reliability in pipeline operation. Tennessee created a small team of gas controllers and engineers to develop a Proactive Controller`s Assistant (ProCA) that provides recommendations for operating the pipeline more efficiently, reliably and safely. The controller`s pipeline operating knowledge is recreated in G2 in the form of Rules and Procedures in ProCA. Two G2 programmers supporting the Gas Control Room add information to the ProCA knowledge base daily. The result is a dynamic, constantly improving system that not only supports the pipeline controllers in their operations, but also the measurement and communications departments` requests for special studies. The Proactive Controller`s Assistant development focus is in the following areas: Alarm Management; Pipeline Efficiency; Reliability; Fuel Efficiency; and Controller Development.

  14. Expert Systems for the Analytical Laboratory.

    Science.gov (United States)

    de Monchy, Allan R.; And Others

    1988-01-01

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

  15. Expert Systems as Tools for Technical Communicators.

    Science.gov (United States)

    Grider, Daryl A.

    1994-01-01

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

  16. Engineering monitoring expert system's developer

    Science.gov (United States)

    Lo, Ching F.

    1991-01-01

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

  17. Expert systems in clinical microbiology.

    Science.gov (United States)

    Winstanley, Trevor; Courvalin, Patrice

    2011-07-01

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

  18. Cornell Mixing Zone Expert System

    Science.gov (United States)

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

  19. Expert Maintenance Advisor Development for Navy Shipboard Systems

    Science.gov (United States)

    1994-01-01

    for Supervisory Process Control ," Xavier Alaman, Instituto de Ingenieria del Conocimiento, SPAIN - (L) INTEGRATED KNOWLEDGE BASED SYSTEMS IN POWER...Estoril (EDEN) Chair: Xavier Alaman, Instituto de Ingenieria del Conocimiento, SPAIN "A Model of Handling Uncertainty in Expert Systems," 01 Zhao...ain power switch A3P20s1 to OrF. On the control mount subasebly ?3A20. eat/verity the followinq: (1H igqh sped selecat switch - 7.5 (2) LoA speed

  20. 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

  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. Multimodal user input to supervisory control systems - Voice-augmented keyboard

    Science.gov (United States)

    Mitchell, Christine M.; Forren, Michelle G.

    1987-01-01

    The use of a voice-augmented keyboard input modality is evaluated in a supervisory control application. An implementation of voice recognition technology in supervisory control is proposed: voice is used to request display pages, while the keyboard is used to input system reconfiguration commands. Twenty participants controlled GT-MSOCC, a high-fidelity simulation of the operator interface to a NASA ground control system, via a workstation equipped with either a single keyboard or a voice-augmented keyboard. Experimental results showed that in all cases where significant performance differences occurred, performance with the voice-augmented keyboard modality was inferior to and had greater variance than the keyboard-only modality. These results suggest that current moderately priced voice recognition systems are an inappropriate human-computer interaction technology in supervisory control systems.

  3. Using Expert System Job Aids: A Primer.

    Science.gov (United States)

    Carr, Clay

    1989-01-01

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

  4. Using Expert System Job Aids: A Primer.

    Science.gov (United States)

    Carr, Clay

    1989-01-01

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

  5. Liveness Problem of Petri Nets Supervisory Control Theory for Discrete Event Systems

    Institute of Scientific and Technical Information of China (English)

    Hong-Ye SU; Wei-Min WU; Jian CHU

    2005-01-01

    A quite great progress of the supervisory control theory for discrete event systems (DES)has been made in the past nearly twenty years, and now, automata, formal language and Petri nets become the main research tools. This paper focus on the Petri nets based supervisory control theory of DES. Firstly, we review the research results in this field, and claim that there generally exists a problem in Petri nets based supervisory control theory of DES, that is, the deadlock caused by the controller introduced to enforce the given specification occurs in the closed-loop systems, especially the deadlock occurs in the closed-loop system in which the original plant is live. Finally, a possible research direction is presented for the solution of this problem.

  6. Systemic-Developmental Supervision: Clinical Supervisory Approach for Family Counseling Student Interns

    Science.gov (United States)

    Carlson, Ryan G.; Lambie, Glenn W.

    2012-01-01

    Supervision models for marriage and family counseling student interns primarily focus on the use of traditional systemic techniques. In addition, a supervisee's level of development may not be considered when utilizing systemic tools. Furthermore, the supervisory relationship has been identified as a significant indicator of quality supervision,…

  7. 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.

  8. Expert Locator System

    Data.gov (United States)

    US Agency for International Development — ELS is a system based out of the E3 Bureau that provides information on E3 staff, including name, contact information, geographic/sector focus, and expertise. While...

  9. QUEST: Quality of Expert Systems

    NARCIS (Netherlands)

    Perre, M.

    1991-01-01

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

  10. QUEST: Quality of Expert Systems

    NARCIS (Netherlands)

    Perre, M.

    1991-01-01

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

  11. Flight mechanics expert systems

    Science.gov (United States)

    Burns, Rowland E.

    1991-01-01

    A method is established which can be used to solve any problem in equation-driven disciplines. This is accomplished by solving all applicable equations of the given discipline for all variables which occur in each of the equations. The system then provides logic tests to determine if enough information is available to calculate a new variable. By recording the order in which the equations are used, the machine can also supply a derivation of the answer to each problem.

  12. Development of an Automated Decision-Making Tool for Supervisory Control System

    Energy Technology Data Exchange (ETDEWEB)

    Cetiner, Sacit M. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Muhlheim, Michael David [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Flanagan, George F. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Fugate, David L. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Kisner, Roger A. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

    2014-09-01

    This technical report was generated as a product of the Supervisory Control for Multi-Modular Small Modular Reactor (SMR) Plants project within the Instrumentation, Control and Human-Machine Interface technology area under the Advanced Small Modular Reactor (AdvSMR) Research and Development Program of the US Department of Energy. The report documents the definition of strategies, functional elements, and the structural architecture of a supervisory control system for multi-modular AdvSMR plants. This research activity advances the state of the art by incorporating real-time, probabilistic-based decision-making into the supervisory control system architectural layers through the introduction of a tiered-plant system approach. The report provides background information on the state of the art of automated decision-making, including the description of existing methodologies. It then presents a description of a generalized decision-making framework, upon which the supervisory control decision-making algorithm is based. The probabilistic portion of automated decision-making is demonstrated through a simple hydraulic loop example.

  13. Architecture Design and Performance Analysis of Supervisory Control System of Multiple UAVs

    Directory of Open Access Journals (Sweden)

    Guozhong Zhang

    2015-04-01

    Full Text Available Although UAV systems are currently controlled by a group of people, in the future, increased automation could allow a single operator to supervise multiple UAVs. Operators will be involved in the mission planning, imagery analysis, weapon control, and contingency interventions. This study examines the architecture and prototype of multiple UAVs supervisory control system. Firstly, the architecture for testing and evaluating human supervisory system controlling multiple UAVs is devised and each sub-system is described in detail. Then a prototype test bed of multiple UAVs supervisory control for demonstrating architecture and adaptive levels of autonomy is built. Finally, with the test bed, the impact of dynamic role allocation on system performance is studied based on quantitative criteria of wait times and operator utilisation. It is shown by simulation that dynamic role allocation can effectively shorten wait times, and eventually improve the system performance.Defence Science Journal, Vol. 65, No. 2, March 2015, pp.93-98, DOI:http://dx.doi.org/10.14429/dsj.65.5837

  14. Cataloging Expert Systems: Optimism and Frustrated Reality.

    Science.gov (United States)

    Olmstadt, William J.

    2000-01-01

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

  15. Expert Systems and Intelligent Information Retrieval.

    Science.gov (United States)

    Brooks, H. M.

    1987-01-01

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

  16. A supervisory control approach in economic MPC design for refrigeration systems

    DEFF Research Database (Denmark)

    Shafiei, Seyed Ehsan; Stoustrup, Jakob; Rasmussen, Henrik

    2013-01-01

    A model predictive control at the supervisory level is proposed for refrigeration systems using price and temperature predictions. The control objective is to minimize the overall energy cost within the prediction horizon. The method is mainly developed for demand-side management in the future sm...... to rearrange the problem to facilitate convex programming. A nonlinear continuous time model validated by real data is employed to simulate system operation. The results show a considerable economic saving as well as a trade-off between the saving level and design complexity.......A model predictive control at the supervisory level is proposed for refrigeration systems using price and temperature predictions. The control objective is to minimize the overall energy cost within the prediction horizon. The method is mainly developed for demand-side management in the future...... smart grid, but a simpler version can be applied in the current electricity market. Due to the system nonlinearity, the minimization is in general a complicated nonconvex optimization problem. A new supervisory control structure as well as an algorithmic pressure control scheme is put forward...

  17. Expert System Prototype for False Event Discrimination.

    Science.gov (United States)

    1985-11-14

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

  18. Expert System Initiative in Logistic Readiness (EXSYN)

    Science.gov (United States)

    1987-03-01

    This initiative is to demonstrate the feasibility of using expert system technology to assist TRADOC combat developers with the assignment of...practices into rule sets; (2) develop a prototype expert system based on the rule sets, using a commercially available expert system development tool

  19. 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

  20. GPS Real-Time Supervisory System and Application in the Construction of Face Rockfill Dam

    Institute of Scientific and Technical Information of China (English)

    HUANG Shengxiang; LIU Jingnan; ZENG Huai'en

    2005-01-01

    According to the quality control needs of filling construction of the face rockfill dam, by means of the global satellite positioning technology, the wireless data communication technology, the computer technology and the data processing and analysis technology, and integrating with the roller compaction machine, the GPS real-time supervisory system is developed in this paper. It can be used to real-timely supervise the construction quality of the roller compaction for filling engineering. The composition and applied characteristics of GPS system, and the key technique problem and solution of the design are discussed. The height accuracy of GPS system is analyzed and the preliminary application is introduced.

  1. Towards energy efficient operation of Heating, Ventilation and Air Conditioning systems via advanced supervisory control design

    Science.gov (United States)

    Oswiecinska, A.; Hibbs, J.; Zajic, I.; Burnham, K. J.

    2015-11-01

    This paper presents conceptual control solution for reliable and energy efficient operation of heating, ventilation and air conditioning (HVAC) systems used in large volume building applications, e.g. warehouse facilities or exhibition centres. Advanced two-level scalable control solution, designed to extend capabilities of the existing low-level control strategies via remote internet connection, is presented. The high-level, supervisory controller is based on Model Predictive Control (MPC) architecture, which is the state-of-the-art for indoor climate control systems. The innovative approach benefits from using passive heating and cooling control strategies for reducing the HVAC system operational costs, while ensuring that required environmental conditions are met.

  2. 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.

  3. Modeling Supermarket Refrigeration Systems for Supervisory Control in Smart Grid

    DEFF Research Database (Denmark)

    Shafiei, Seyed Ehsan; Rasmussen, Henrik; Stoustrup, Jakob

    2013-01-01

    A modular modeling approach of supermarket refrigeration systems (SRS) which is appropriate for smart grid control purposes is presented in this paper. Modeling and identification are performed by just knowing the system configuration and measured data disregarding the physical details. So......, this approach is extendable to different configurations with different modules. The focus of the work is on estimating the power consumption of the system while estimating the display case temperatures as well. This model can however be employed as a simulation benchmark to develop control methods for SRS...... regarding their power/energy consumptions in the future smart grids. Moreover, the developed model is validated by real data collected from a supermarket in Denmark. The utilization of the produced model is also illustrated by a simple simulation example....

  4. A Fault tolerant Control Supervisory System development Procedurefor Small Satellites

    DEFF Research Database (Denmark)

    Izadi-Zamanabadi, Roozbeh; Larsen, Jesper Abildgaard

    The paper presents a stepwise procedure to develop a fault tolerant control system for small satellites. The procedure is illustrated through implementation on the AAUSAT-II spacecraft. As it is shown the presented procedure requires expertise from several disciplines that are nevertheless...

  5. Idaho National Laboratory Supervisory Control and Data Acquisition Intrusion Detection System (SCADA IDS)

    Energy Technology Data Exchange (ETDEWEB)

    Jared Verba; Michael Milvich

    2008-05-01

    Current Intrusion Detection System (IDS) technology is not suited to be widely deployed inside a Supervisory, Control and Data Acquisition (SCADA) environment. Anomaly- and signature-based IDS technologies have developed methods to cover information technology-based networks activity and protocols effectively. However, these IDS technologies do not include the fine protocol granularity required to ensure network security inside an environment with weak protocols lacking authentication and encryption. By implementing a more specific and more intelligent packet inspection mechanism, tailored traffic flow analysis, and unique packet tampering detection, IDS technology developed specifically for SCADA environments can be deployed with confidence in detecting malicious activity.

  6. 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

  7. An Adaptive Supervisory Sliding Fuzzy Cerebellar Model Articulation Controller for Sensorless Vector-Controlled Induction Motor Drive Systems

    Directory of Open Access Journals (Sweden)

    Shun-Yuan Wang

    2015-03-01

    Full Text Available This paper presents the implementation of an adaptive supervisory sliding fuzzy cerebellar model articulation controller (FCMAC in the speed sensorless vector control of an induction motor (IM drive system. The proposed adaptive supervisory sliding FCMAC comprised a supervisory controller, integral sliding surface, and an adaptive FCMAC. The integral sliding surface was employed to eliminate steady-state errors and enhance the responsiveness of the system. The adaptive FCMAC incorporated an FCMAC with a compensating controller to perform a desired control action. The proposed controller was derived using the Lyapunov approach, which guarantees learning-error convergence. The implementation of three intelligent control schemes—the adaptive supervisory sliding FCMAC, adaptive sliding FCMAC, and adaptive sliding CMAC—were experimentally investigated under various conditions in a realistic sensorless vector-controlled IM drive system. The root mean square error (RMSE was used as a performance index to evaluate the experimental results of each control scheme. The analysis results indicated that the proposed adaptive supervisory sliding FCMAC substantially improved the system performance compared with the other control schemes.

  8. The structure and operation scheme of an automatic and supervisory control system for KEPCO UPFC

    Energy Technology Data Exchange (ETDEWEB)

    Ahn, S.J.; Lee, D.W.; Moon, S.I. [Seoul National Univ., Seoul (Korea, Republic of). School of Electrical Engineering

    2007-07-01

    The structure and functions of a control system that can be used for automatic and supervisory control of a unified power flow controller (UPFC) was presented. A UPFC is a device used in power electronic based transmission to allow the independent control of active and reactive power flows as well as the simultaneous control of voltage profile. The Korea Electric Power Corporation (KEPCO) installed a {+-}80 MVA UPFC at the 154 kV Kangjin substation, operated in the Kangjin-Jangheung transmission line. The operation strategies used in both the normal state and emergency state were presented along with a scheme that includes the minimization of active power loss, coordination of voltage/Var control with an under load tap changer (ULTC), and better system security. Although this UPFC is operated by set-point control, it has some limitations, particularly in emergency events. In order to overcome the limitation of set-point control, this paper proposed the automatic and supervisory control system connected to a local SCADA for data exchange. The primary function of the system is to analyze the state of the power system, determine the control objectives and to calculate the optimal power flow. Details of each of these functions was described in this paper along with a detailed algorithm for each scheme. 5 refs., 6 figs.

  9. Expert systems in treating substance abuse.

    OpenAIRE

    Wesson, D R; Hink, R H

    1990-01-01

    Computer programs can assist humans in solving complex problems that cannot be solved by traditional computational techniques using mathematic formulas. These programs, or "expert systems," are commonly used in finance, engineering, and computer design. Although not routinely used in medicine at present, medical expert systems have been developed to assist physicians in solving many kinds of medical problems that traditionally require consultation from a physician specialist. No expert system...

  10. An Expert System for Asset Reconciliation.

    Science.gov (United States)

    1987-09-01

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

  11. Living Expert System (LEXSYS). Volume 6

    Science.gov (United States)

    1989-05-15

    PROTOLEX SUBNET DISCUSSIONS: Attack Helicopter Operations; Low Intensity Conflict; Continuous Operations. Keywords: Dialogue; Discussions; Military commanders; Decision making; Decision aids; LEXSYS (Living Expert System ).

  12. 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.

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

    Science.gov (United States)

    Orwig, Gary; Barron, Ann

    1992-01-01

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

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

    Science.gov (United States)

    Orwig, Gary; Barron, Ann

    1992-01-01

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

  15. An Expert System for Shipboard Maintenance

    Science.gov (United States)

    1990-09-01

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

  16. Using Expert Systems For Computational Tasks

    Science.gov (United States)

    Duke, Eugene L.; Regenie, Victoria A.; Brazee, Marylouise; Brumbaugh, Randal W.

    1990-01-01

    Transformation technique enables inefficient expert systems to run in real time. Paper suggests use of knowledge compiler to transform knowledge base and inference mechanism of expert-system computer program into conventional computer program. Main benefit, faster execution and reduced processing demands. In avionic systems, transformation reduces need for special-purpose computers.

  17. 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.

  18. Supervisory System and Multivariable Control Applying Weighted Fuzzy-PID Logic in an Alcoholic Fermentation Process

    Directory of Open Access Journals (Sweden)

    Márcio Mendonça

    2015-10-01

    Full Text Available In this work, it is analyzed a multivariate system control of an alcoholic fermentation process with no minimum phase. The control is made with PID classic controllers associated with a supervisory system based on Fuzzy Systems. The Fuzzy system, a priori, send set-points to PID controllers, but also adds protection functions, such as if the biomass valued is at zero or very close. The Fuzzy controller changes the campaign to prevent or mitigate the paralyzation of the process. Three control architectures based on Fuzzy Control Systems are presented and compared in performance with classic control in different campaigns. The third architecture, in particular, adds an adaptive function. A brief summary of Fuzzy theory and correlated works will be presented. And, finally simulations results, conclusions and future works end the article.

  19. Expert System Detects Power-Distribution Faults

    Science.gov (United States)

    Walters, Jerry L.; Quinn, Todd M.

    1994-01-01

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

  20. Design of a Recruiter Expert System

    Science.gov (United States)

    1989-03-01

    expert system was designed using these characteristics and the minimum requirements for assignment to recruiting duty given in the Navy’s Enlisted...Transfer Manual. A recommended Command Officer’s Screening Form was designed that will have all the data needed to be placed into the expert system . Recommendations

  1. Expert Systems in Civil Engineering.

    Science.gov (United States)

    1986-01-01

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

  2. Expert system for traffic signal setting assistance

    Energy Technology Data Exchange (ETDEWEB)

    Zozaya-Gorostiza, C.; Hendrickson, C.

    1987-03-01

    An experimental knowledge-based expert system to assist in traffic signal setting for isolated intersections is presented. In contrast to existing computer aids, the system can be applied to intersections of highly irregular geometries. Algorithmic processes to evaluate signal settings and decision tables to identify traffic flow conflicts are invoked by the expert system; phase distribution of flows is performed by applying heuristic rules. The system was written in the OPS5 export system environment. Advantages and disadvantages of the expert system programming approach relative to conventional algorithmic processes in the traffic engineering domain are described.

  3. EXPERT SYSTEMS - DEVELOPMENT OF AGRICULTURAL INSURANCE TOOL

    OpenAIRE

    2013-01-01

    Because of the fact that specialty agricultural assistance is not always available when the farmers need it, we identified expert systems as a strong instrument with an extended potential in agriculture. This started to grow in scale recently, including all socially-economic activity fields, having the role of collecting data regarding different aspects from human experts with the purpose of assisting the user in the necessary steps for solving problems, at the performance level of the expert...

  4. An Expert System for Designing Fire Prescriptions

    Science.gov (United States)

    Elizabeth Reinhardt

    1987-01-01

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

  5. 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.

  6. Expert system interaction with existing analysis codes

    Energy Technology Data Exchange (ETDEWEB)

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

    1986-01-01

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

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

    Science.gov (United States)

    McEneaney, John E.

    1992-01-01

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

  8. Optical Design Using an Expert System

    Energy Technology Data Exchange (ETDEWEB)

    Lerner, S A

    2003-08-01

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

  9. Living Expert System (LEXSYS). Volume 7

    Science.gov (United States)

    1989-05-15

    Partial contents: Army: LEXSYS--What Its All About; Summary of Team Meeting; How Can We Build a Non-Maintenance Intensive Expert Data Base; Cost Data for LEXSYS Prototype Issues; Search for the Perfect Rolodex; Reaching Decision Points in LEXSYS Subnets; An Architecture for a Prototype Net?; Helicopter FLOT Operations; Battlestaff Integration; Hardware Availability. Keywords: Dialogue; Conversation; LEXSYS (Living Expert System ); Decision making; Decision aids.

  10. Expert system for web based collaborative CAE

    Science.gov (United States)

    Hou, Liang; Lin, Zusheng

    2006-11-01

    An expert system for web based collaborative CAE was developed based on knowledge engineering, relational database and commercial FEA (Finite element analysis) software. The architecture of the system was illustrated. In this system, the experts' experiences, theories and typical examples and other related knowledge, which will be used in the stage of pre-process in FEA, were categorized into analysis process and object knowledge. Then, the integrated knowledge model based on object-oriented method and rule based method was described. The integrated reasoning process based on CBR (case based reasoning) and rule based reasoning was presented. Finally, the analysis process of this expert system in web based CAE application was illustrated, and an analysis example of a machine tool's column was illustrated to prove the validity of the system.

  11. Feasibility of physician-developed expert systems.

    Science.gov (United States)

    Tuhrim, S; Reggia, J A

    1986-01-01

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

  12. The remote supervisory and controlling experiment system of traditional Chinese medicine production based on Fieldbus

    Science.gov (United States)

    Zhan, Jinliang; Lu, Pei

    2006-11-01

    Since the quality of traditional Chinese medicine products are affected by raw material, machining and many other factors, it is difficult for traditional Chinese medicine production process especially the extracting process to ensure the steady and homogeneous quality. At the same time, there exist some quality control blind spots due to lacking on-line quality detection means. But if infrared spectrum analysis technology was used in traditional Chinese medicine production process on the basis of off-line analysis to real-time detect the quality of semi-manufactured goods and to be assisted by advanced automatic control technique, the steady and homogeneous quality can be obtained. It can be seen that the on-line detection of extracting process plays an important role in the development of Chinese patent medicines industry. In this paper, the design and implement of a traditional Chinese medicine extracting process monitoring experiment system which is based on PROFIBUS-DP field bus, OPC, and Internet technology is introduced. The system integrates intelligence node which gathering data, superior sub-system which achieving figure configuration and remote supervisory, during the process of traditional Chinese medicine production, monitors the temperature parameter, pressure parameter, quality parameter etc. And it can be controlled by the remote nodes in the VPN (Visual Private Network). Experiment and application do have proved that the system can reach the anticipation effect fully, and with the merits of operational stability, real-time, reliable, convenient and simple manipulation and so on.

  13. Dietitians: experts about food systems?

    Science.gov (United States)

    Klitzke, C

    1997-10-01

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

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

    OpenAIRE

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

    2001-01-01

    Expert systems are increasingly being applied to problems in medical diagnosis and treatment. Initial medical expert systems were programmed in specialized “expert system” shell programming environments. As the power of mainstream programming languages has increased, it has become possible to implement medical expert systems within these mainstream languages. We originally implemented an expert system to record and score the mental status examination utilizing a specialized expert system prog...

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

    Science.gov (United States)

    O'Connor, M L; McKinney, T

    1989-09-01

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

  16. Hybrid Expert Systems In Image Analysis

    Science.gov (United States)

    Dixon, Mark J.; Gregory, Paul J.

    1987-04-01

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

  17. The Impact of Supervisory Board Composition on CSR Reporting. Evidence from the German Two-Tier System

    Directory of Open Access Journals (Sweden)

    Dominik Dienes

    2016-01-01

    Full Text Available Corporate social responsibility (CSR reporting is becoming increasingly relevant in light of modern corporate governance. There is growing activity among empirical research in one-tier systems that considers the link between board composition and CSR reporting. This study is the first of its kind on the German two-tier system with special regard for the supervisory board. We analyze gender diversity, expertise, the presence of former managers, frequency of meetings, and the size of the supervisory board. Our multiple regressions indicate that gender diversity has a positive impact on CSR disclosure intensity, which is in line with prior studies on one-tier systems. Our findings have implications for both users and public policy and suggest that current European corporate governance regulations could help to increase the decision usefulness of CSR reporting.

  18. 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...

  19. Laserjet Printer Troubleshooting Expert System

    African Journals Online (AJOL)

    SOFTLINKS DIGITAL

    2 and Umoh, E. E.. 3. 1Department of Computer Science, Cross River University of Technology, Calabar, Cross River State. ... a rule-base, an inference engine, and a knowledge editor interface. The system is .... It is the brain logical reasoning ...

  20. ROSIE: A Programming Environment for Expert Systems

    Science.gov (United States)

    1985-10-01

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

  1. Supervisory autonomous local-remote control system design: Near-term and far-term applications

    Science.gov (United States)

    Zimmerman, Wayne; Backes, Paul

    1993-01-01

    The JPL Supervisory Telerobotics Laboratory (STELER) has developed a unique local-remote robot control architecture which enables management of intermittent bus latencies and communication delays such as those expected for ground-remote operation of Space Station robotic systems via the TDRSS communication platform. At the local site, the operator updates the work site world model using stereo video feedback and a model overlay/fitting algorithm which outputs the location and orientation of the object in free space. That information is relayed to the robot User Macro Interface (UMI) to enable programming of the robot control macros. The operator can then employ either manual teleoperation, shared control, or supervised autonomous control to manipulate the object under any degree of time-delay. The remote site performs the closed loop force/torque control, task monitoring, and reflex action. This paper describes the STELER local-remote robot control system, and further describes the near-term planned Space Station applications, along with potential far-term applications such as telescience, autonomous docking, and Lunar/Mars rovers.

  2. Spacecraft command and control using expert systems

    Science.gov (United States)

    Norcross, Scott; Grieser, William H.

    1994-11-01

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

  3. An expert system for astronaut scientists

    Science.gov (United States)

    Young, L. R.

    1991-01-01

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

  4. Expert System Software Assistant for Payload Operations

    Science.gov (United States)

    Rogers, Mark N.

    1997-01-01

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

  5. EXPERT SYSTEMS - DEVELOPMENT OF AGRICULTURAL INSURANCE TOOL

    Directory of Open Access Journals (Sweden)

    NAN Anca-Petruţa

    2013-07-01

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

  6. The Research of System Architecture in Expert System

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    This paper illustrated the software architecture of our concretesafet y expert system. Three advanced technologies are proposed and have been applied to our expert system to greatly improve the intelligent level, which are human- compu ter interaction technology (conceptual model, dialogue management, interface ent ity and interface construct), intelligent agency user interface (IAUI) and compo nent technology. The i mportant character of the system architecture in our expert system is adapting a dvanced intelligent interface and scientific integration of various components d ifferent from common system architecture of expert system. Especially, in the in terface-friendly multimedia system intelligent interface is required.

  7. Elevator Group Supervisory Control System Using Genetic Network Programming with Macro Nodes and Reinforcement Learning

    Science.gov (United States)

    Zhou, Jin; Yu, Lu; Mabu, Shingo; Hirasawa, Kotaro; Hu, Jinglu; Markon, Sandor

    Elevator Group Supervisory Control System (EGSCS) is a very large scale stochastic dynamic optimization problem. Due to its vast state space, significant uncertainty and numerous resource constraints such as finite car capacities and registered hall/car calls, it is hard to manage EGSCS using conventional control methods. Recently, many solutions for EGSCS using Artificial Intelligence (AI) technologies have been reported. Genetic Network Programming (GNP), which is proposed as a new evolutionary computation method several years ago, is also proved to be efficient when applied to EGSCS problem. In this paper, we propose an extended algorithm for EGSCS by introducing Reinforcement Learning (RL) into GNP framework, and an improvement of the EGSCS' performances is expected since the efficiency of GNP with RL has been clarified in some other studies like tile-world problem. Simulation tests using traffic flows in a typical office building have been made, and the results show an actual improvement of the EGSCS' performances comparing to the algorithms using original GNP and conventional control methods. Furthermore, as a further study, an importance weight optimization algorithm is employed based on GNP with RL and its efficiency is also verified with the better performances.

  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. 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…

  10. Concept of an expert system for EQCreator

    Science.gov (United States)

    Schenk, Jiri; Telnarova, Zdenka; Habiballa, Hashim

    2016-06-01

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

  11. Planning bioinformatics workflows using an expert system.

    Science.gov (United States)

    Chen, Xiaoling; Chang, Jeffrey T

    2017-04-15

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

  12. 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…

  13. Air Combat Maneuvering Expert System Trainer

    Science.gov (United States)

    1992-01-01

    AL-TP-1 991-0058....... AD-A246 459 AIR COMBAT MANEUVERING EXPERT A SYSTEM TRAINER R M S Robert J. BechtelTI T Markt Technology, incorporated ’T R...would have to be established for each segment of pilot training. The success of the air intercept trainer (AT), which shares some features with ACMEST

  14. Using Expert Systems To Build Cognitive Simulations.

    Science.gov (United States)

    Jonassen, David H.; Wang, Sherwood

    2003-01-01

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

  15. Genesis of an Electronic Database Expert System.

    Science.gov (United States)

    Ma, Wei; Cole, Timothy W.

    2000-01-01

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

  16. 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.

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

    Science.gov (United States)

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

    2000-01-01

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

  18. SELF LEARNING COMPUTER TROUBLESHOOTING EXPERT SYSTEM

    OpenAIRE

    Amanuel Ayde Ergado

    2016-01-01

    In computer domain the professionals were limited in number but the numbers of institutions looking for computer professionals were high. The aim of this study is developing self learning expert system which is providing troubleshooting information about problems occurred in the computer system for the information and communication technology technicians and computer users to solve problems effectively and efficiently to utilize computer and computer related resources. Domain know...

  19. SENSAT(C) prototype expert system

    Science.gov (United States)

    Lavender, Joseph A.

    1994-06-01

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

  20. A Proposal of Ajax Framework for Web-based Supervisory and Control Systems

    Science.gov (United States)

    Yanagihara, Shintaro; Ishihara, Akira; Ishii, Toshinao; Kitsuki, Junichi; Seo, Kazuo

    In recent years, with spread of Web application and performance gain of Web browsers, the demand of the web-based supervisory and control(WSCADA) systems based on RIA(Rich Internet Application) is increased. To develop CRUD operations(Create, Read, Update, Delete which corresponds to the basic database operations) of RIA-based web applications, various frameworks and libraries are being provided. However, to develop behavior operations, a lot of program must be written manually. The typical operations of WSCADA are behavior operations, so even if RIA frameworks and libraries are used to develop WSCADA, the productivity of development doesn't improve. Although conceptual models and development environment have been proposed for typical web applications consisted mostly of CRUD operations, those for WSCADA is still the unsolved problem. This paper proposes the user interface model and the development environment for the monitoring user interface program of WSCADA. We focus on the productivity enhancement of the WSCADA development, and propose the Monitoring User Interface Model(MUM) extended Model-View-Controller(MVC) model. We design the Ajax framework and the development environment based on our model. We define the DisplayItem as the advanced View and the MonitoringItem as the advanced Model, and classify the Controller into the Interaction and the Behavior. Our Ajax framework based on web browser's standard technologies, provides the mapping between conceptual model elements. We define the domain specific language for writing the mapping. We design development environment for auto-generating Behavior program from the mapping. In this paper, we evaluate our model and development environment through the experimental development of the typical WSCADA. As a result, the development cost of the WSCADA based on our framework is only one fifth of that based on the typical Ajax library.

  1. Fuzzy Expert System for Heart Attack Diagnosis

    Science.gov (United States)

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

    2017-08-01

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

  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......, Switzerland, Ireland, United Kingdom, France, Portugal, Greece, Monaco, Italy, Luxemburg, Turkey, USA, Canada, Australia, New Zealand, Mexico, Chile, and China. The sample was drawn from Kompass: the business to business search engine, and covered service providers with 500+ employees and distributed location...... 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. Supervisory fussy control for an electric generating hybrid system; Control supervisorio difuso para un sistema hibrido de generacion electrica

    Energy Technology Data Exchange (ETDEWEB)

    Lagunas Mendoza, Javier

    2004-11-15

    This work presents the development of a fuzzy supervisory controller for a hybrid power system (HPS). After reviewing the actual configurations for Hybrid Systems used around the world, it was defined the configuration and constitutive elements to be implemented in proposed HPS. The HPS includes: photovoltaic arrays, wind turbines as renewable sources, a Gen-set as a back-up system, a battery bank a mean for energy storage, AC loads and finally an inverter to transform DC to AC in order to provide electricity to the loads. Once the HPS configuration was selected, the mathematical models for the different elements of the system were selected. The validation of the models was made comparing the results from the model with collected real data of an experimental HPS installed in Pachuca Hidalgo. Using MatLab it was developed a program to simulate the operation of the a HPS. The main function of the supervisory controller within the HPS is to satisfy the objectives of operation of the system, and it was defined as part of the research work. The operation philosophy of the supervisory controller was defined having selected HPS configuration and the operation objectives of the system. Regarding to the supervisory controller development, first it was carried out a bibliographic review of the supervisory controllers that are used nowadays whose use some techniques of intelligent control. As result form this review the fuzzy logic technique was chosen to be implemented in the supervisory controller proposed. The resulting supervisory controller was a multi- variable system type, and it is implementation was challenging task. Its development was made using the hierarchic decomposition based on meta-knowledge. As result a smaller diffuse systems with a less number of rules were obtained. An important part of the work was the implementation of the supervisory controller in Matlab. The controller tested in the developed simulation program for SHGE. The results of operation of

  4. 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.

  5. Hypercube Expert System Shell - Applying Production Parallelism.

    Science.gov (United States)

    1989-12-01

    that himian,, currentlly do better than machines (like the task of 3 piloting an aircraft ) lendl t wituselves to solution using an artificial ...research i ut eret tiit 1iw 1wrfuirtii i of artificial intelligence application software executing on a rriilt iconipilter. Liriti t liw analysis to...I IProc~ssing Compute- inteliive alilijcatiolis. such as the RAV expert system (28), require pro. cessing beyond the perforinance ability of

  6. Operator function modeling: An approach to cognitive task analysis in supervisory control systems

    Science.gov (United States)

    Mitchell, Christine M.

    1987-01-01

    In a study of models of operators in complex, automated space systems, an operator function model (OFM) methodology was extended to represent cognitive as well as manual operator activities. Development continued on a software tool called OFMdraw, which facilitates construction of an OFM by permitting construction of a heterarchic network of nodes and arcs. Emphasis was placed on development of OFMspert, an expert system designed both to model human operation and to assist real human operators. The system uses a blackboard method of problem solving to make an on-line representation of operator intentions, called ACTIN (actions interpreter).

  7. Expert systems for clinical pathology reporting.

    Science.gov (United States)

    Edwards, Glenn A

    2008-08-01

    * Conventional automated interpretative reporting systems use standard or "canned" comments for patient reports. These are result-specific and do not generally refer to the patient context. * Laboratory information systems (LIS) are limited in their application of patient-specific content of reporting. * Patient-specific interpretation requires extensive cross-referencing to other information contained in the LIS such as previous test results, other related tests, and clinical notes, both current and previous. * Expert systems have the potential to improve reporting quality by enabling patient-specific reporting in clinical laboratories.

  8. Operator function modeling: Cognitive task analysis, modeling and intelligent aiding in supervisory control systems

    Science.gov (United States)

    Mitchell, Christine M.

    1990-01-01

    The design, implementation, and empirical evaluation of task-analytic models and intelligent aids for operators in the control of complex dynamic systems, specifically aerospace systems, are studied. Three related activities are included: (1) the models of operator decision making in complex and predominantly automated space systems were used and developed; (2) the Operator Function Model (OFM) was used to represent operator activities; and (3) Operator Function Model Expert System (OFMspert), a stand-alone knowledge-based system was developed, that interacts with a human operator in a manner similar to a human assistant in the control of aerospace systems. OFMspert is an architecture for an operator's assistant that uses the OFM as its system and operator knowledge base and a blackboard paradigm of problem solving to dynamically generate expectations about upcoming operator activities and interpreting actual operator actions. An experiment validated the OFMspert's intent inferencing capability and showed that it inferred the intentions of operators in ways comparable to both a human expert and operators themselves. OFMspert was also augmented with control capabilities. An interface allowed the operator to interact with OFMspert, delegating as much or as little control responsibility as the operator chose. With its design based on the OFM, OFMspert's control capabilities were available at multiple levels of abstraction and allowed the operator a great deal of discretion over the amount and level of delegated control. An experiment showed that overall system performance was comparable for teams consisting of two human operators versus a human operator and OFMspert team.

  9. An Expert System for Concrete Bridge Management

    DEFF Research Database (Denmark)

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

    1997-01-01

    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......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...

  10. Fuzzy expert system for diagnosing diabetic neuropathy.

    Science.gov (United States)

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

    2017-02-15

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

  11. System control module diagnostic Expert Assistant

    Science.gov (United States)

    Flores, Luis M.; Hansen, Roger F.

    1990-01-01

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

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

    African Journals Online (AJOL)

    Department of Computer Science,. Nasarawa State University, Keffi. Abstract. This paper is a preview of the work so far concluded on Expert Systems ... computing research and the real application ... A web-based expert system for wheat.

  13. 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++.

  14. Network Structure Expert System and Operation Optimization

    Institute of Scientific and Technical Information of China (English)

    刘洪谦; 袁希钢; 麻德贤

    2003-01-01

    It is proposed that double level programming technique may be adopted in synthesis strategy. Optimization of heat exchanger network structural configuration (the master problem) may be solved at the upper level, leaving the rest operating conditions( the slave problem) being optimized at the lower level. With the uniqueness in mind, an HEN synthesis expert system may be employed to address both the logical constraints and the global operation parameters′ optimization using enhanced sequential number optimization theory.Case studies demonstrate that the synthesis strategy proposed can effectively simplify both the problem-solving and the synthesis process. The validity of the strategy recommended is evidenced by case studies′ results compared.

  15. WES: A well test analysis expert system

    Energy Technology Data Exchange (ETDEWEB)

    Mensch, A.

    1988-06-01

    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.

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

    Science.gov (United States)

    Duff, Jon M.

    1987-01-01

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

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

    Science.gov (United States)

    1986-11-01

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

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

    Science.gov (United States)

    Welsh, Jack R.; Wilson, Brent G.

    1987-01-01

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

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

    Science.gov (United States)

    Sondak, Norman E.; And Others

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

  20. Supervisory control of remote manipulation: A preliminary evaluation

    Science.gov (United States)

    Starr, G. P.

    1981-01-01

    A system for supervisory control is described, and preliminary results are presented. Supervisory control, where control is traded between man and computer, offers benefits in the control of a remote manipulator. The system has the potential to accomplish sophisticated tasks. It is indicated that supervisory control yields lower task completion times and is preferred over manual control.

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

    Science.gov (United States)

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

    1990-01-01

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

  2. Fuzzy-logic-based supervisory controller for the management of energy in a hybrid system; Control supervisorio difuso para sistemas hibridos de generacion electrica

    Energy Technology Data Exchange (ETDEWEB)

    Lagunas, J.; Caratozzolo, P.; Ortega, C.; Gonzalez, R.

    2004-07-01

    This paper presents and validates the use of a fuzzy-logic-based supervisory controller for the management of energy in a hybrid system. The general configuration of the hybrid system is presented as well as the operational objectives of the supervisory controller. The inputs and outputs of the controller are also presented along with the hierarchical structure employed in order to reduce the number of rules in the knowledge base. The results obtained are compared against those of a conventional controller. Simulations were carried out using Matlab. (Author)

  3. Yarn Strength Modelling Using Genetic Fuzzy Expert System

    Science.gov (United States)

    Banerjee, Debamalya; Ghosh, Anindya; Das, Subhasis

    2013-05-01

    This paper deals with the modelling of cotton yarn strength using genetic fuzzy expert system. Primarily a fuzzy expert system has been developed to model the cotton yarn strength from the constituent fibre parameters such as fibre strength, upper half mean length, fibre fineness and short fibre content. A binary coded genetic algorithm has been used to improve the prediction performance of the fuzzy expert system. The experimental validation confirms that the genetic fuzzy expert system has significantly better prediction accuracy and consistency than that of the fuzzy expert system.

  4. Fuzzy expert system for diagnosing diabetic neuropathy

    Science.gov (United States)

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

    2017-01-01

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

  5. 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.

  6. 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.

  7. 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.

  8. 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

  9. 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.

  10. 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.

  11. Design and Implementation of Computer Supervisory Control System at an Oil Harbor%油港计算机监控系统的设计与实现

    Institute of Scientific and Technical Information of China (English)

    徐薇; 李振业; 矫桂秋

    2001-01-01

    This paper presents a practical design plan of the computer supervisory control system through the investigation of the manual operation in a harbor company.%通过对某港务公司现行手工作业的调研,提出了一种可行的计算机监控系统的设计方案。

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

    Science.gov (United States)

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

    2016-12-01

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

  13. STABLE ADAPTIVE CONTROL FOR A CLASS OF NONLINEAR SYSTEMS WITHOUT USE OF A SUPERVISORY TERM IN THE CONTROL LAW

    Directory of Open Access Journals (Sweden)

    MOHAMED BAHITA

    2012-02-01

    Full Text Available In this paper, a direct adaptive control scheme for a class of nonlinear systems is proposed. The architecture employs a Gaussian radial basis function (RBF network to construct an adaptive controller. The parameters of the adaptive controller are adapted and changed according to a law derived using Lyapunov stability theory. The centres of the RBF network are adapted on line using the k-means algorithm. Asymptotic Lyapunov stability is established without the use of a supervisory (compensatory term in the control law and with the tracking errors converging to a neighbourhood of the origin. Finally, a simulation is provided to explore the feasibility of the proposed neuronal controller design method.

  14. 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.

  15. Fault Detection of Computer Communication Networks Using an Expert System

    Directory of Open Access Journals (Sweden)

    Ibrahiem M.M. El Emary

    2005-01-01

    Full Text Available The main objective of this study was to build an expert system for assisting the network administrator in his work of management and administration of the computer communication network. Theory of operation of the proposed expert system depends on using a time series model capable of forecasting the various performance parameters as: delay, utilization and collision frequency. When the expert system finds a difference (with certain tolerance between the predicted value and the measured value, it informs the network administrator that there exist problems in his network either in the switch or link or router. We examine two types of network by our proposed expert system, the first one is called token bus while the second one is called token ring. When we run our expert system on these two types of computer networks, actually the expert system captures the problem when there exists an excess deviation from the network performance parameters.

  16. Expert System Techniques and Applications in AEC-Design

    DEFF Research Database (Denmark)

    Andersen, Tom

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

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

    Science.gov (United States)

    1988-02-01

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

  18. 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.

  19. A Hybrid Architecture for Web-based Expert Systems

    OpenAIRE

    Neil Dunstan

    2012-01-01

    A recent technique is to represent the knowledge base of an expert system in XML format. XML parsers are then used to convert XML data into expert system language code. The code is executed or interpreted when providing responses to user queries. Web-based expert system (WBES) architectures may be characterized according to where the application knowledge base resides. Applications of both client and server-sided WBES architectures appear in the literature. A hybrid architecture is proposed w...

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

    Science.gov (United States)

    Gorman, R.

    1995-01-01

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

  1. 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.

  2. First Priority, an expert system for prioritizing

    Energy Technology Data Exchange (ETDEWEB)

    Morton, G.R.; Hopson, P.C.

    1991-01-01

    Prioritizing lists of diverse entities such as projects, tasks, documents, recommendations or physical locations is a necessary part of business at DOE facilities. A key issue is whether or not this necessary and problematic activity of prioritizing is performed in a methodical, defensible and traceable manner, especially when the goals are hard to compare and measure. Sound methods of prioritizing are often not employed because of their complexity or difficulty in implementation. To overcome these problems, WSRC is developing an expert system. First Priority, which will provide individuals or committees a comprehensive process for prioritizing lists of any sort. A set of windows, editors, and pull-down menus guide the user in building and modifying an (inverted) weighted tree structure which represents the goals the prioritization is to advance. The process of building this structure is divided into four stages which are generally followed in order. These stages are: building the goal tree, ordering the goal tree nodes, weighting the goal tree nodes, and designing measurement methods for each leaf node. Based on the resultant structure an evaluation module is generated to evaluate the items of the list. This list is then prioritized and grouped into user-defined categories, taking into account cost or other resources. Additional First Priority tools provide sensitivity analysis, graphical displays of data, and reporting.

  3. First Priority, an expert system for prioritizing

    Energy Technology Data Exchange (ETDEWEB)

    Morton, G.R.; Hopson, P.C.

    1991-12-31

    Prioritizing lists of diverse entities such as projects, tasks, documents, recommendations or physical locations is a necessary part of business at DOE facilities. A key issue is whether or not this necessary and problematic activity of prioritizing is performed in a methodical, defensible and traceable manner, especially when the goals are hard to compare and measure. Sound methods of prioritizing are often not employed because of their complexity or difficulty in implementation. To overcome these problems, WSRC is developing an expert system. First Priority, which will provide individuals or committees a comprehensive process for prioritizing lists of any sort. A set of windows, editors, and pull-down menus guide the user in building and modifying an (inverted) weighted tree structure which represents the goals the prioritization is to advance. The process of building this structure is divided into four stages which are generally followed in order. These stages are: building the goal tree, ordering the goal tree nodes, weighting the goal tree nodes, and designing measurement methods for each leaf node. Based on the resultant structure an evaluation module is generated to evaluate the items of the list. This list is then prioritized and grouped into user-defined categories, taking into account cost or other resources. Additional First Priority tools provide sensitivity analysis, graphical displays of data, and reporting.

  4. 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.

  5. Development of basic technology for instrumentation and control - Development of digital automatic supervisory limitation system and its design= validation

    Energy Technology Data Exchange (ETDEWEB)

    Choi, Jung In; Chung, Sung Wook; Koh, Won Seok [Kyungwon University, Sungman (Korea, Republic of); Suh, Duk Young; Cheon, Sei Young [Kyunghee University, Seoul (Korea, Republic of); Lee, Sang Kyung; Kim, Sung Hun [Seoul National University, Seoul (Korea, Republic of)

    1995-07-01

    A major objective of the project is to develop a digital automatic supervisory limitation system and validate its design for the next generation= nuclear power plant. The limitation system assures that the plant does not exceed the operating limits by regulation the plant operations through on-line monitoring the operating margins of the critical parameters. A new conceptual model of power maneuverability has been proposed for the design of the limitation system and for its validation. Also, the limitation system monitors overall operation processes throughout a nuclear power plant by implementing hierarchical communication networks. Based on the conceptual design in software of the 1 st year results, the detailed design of the limitation system has been performed during the 2 nd year with constructing a prototype digital system. The system consists of the software module for plant simulation and the hardware module for implementation of limitation system and the associated interfaces in hardware. The limitation algorithm were implemented into the microprocessor and the interfaces were realized through the I/O modules. Also, these modules are incorporated into the communication networks. The products of the project could be directly applicable to the following nuclear unit adopting the limitation system, providing the bumpless transition to the commercial design phase. And the prototype evaluation scheme will be very useful for the succeeding studies related to the digital nuclear I and C fields, such as fault-tolerance design methods, software verification and validation and response time execution of digital systems. 69 refs., 3 tabs., 44 figs. (author)

  6. Development of basic technology for instrumentation and control - Development of digital automatic supervisory limitation system and its design= validation

    Energy Technology Data Exchange (ETDEWEB)

    Choi, Jung In; Chung, Sung Wook; Koh, Won Seok [Kyungwon University, Sungman (Korea, Republic of); Suh, Duk Young; Cheon, Sei Young [Kyunghee University, Seoul (Korea, Republic of); Lee, Sang Kyung; Kim, Sung Hun [Seoul National University, Seoul (Korea, Republic of)

    1995-07-01

    A major objective of the project is to develop a digital automatic supervisory limitation system and validate its design for the next generation= nuclear power plant. The limitation system assures that the plant does not exceed the operating limits by regulation the plant operations through on-line monitoring the operating margins of the critical parameters. A new conceptual model of power maneuverability has been proposed for the design of the limitation system and for its validation. Also, the limitation system monitors overall operation processes throughout a nuclear power plant by implementing hierarchical communication networks. Based on the conceptual design in software of the 1 st year results, the detailed design of the limitation system has been performed during the 2 nd year with constructing a prototype digital system. The system consists of the software module for plant simulation and the hardware module for implementation of limitation system and the associated interfaces in hardware. The limitation algorithm were implemented into the microprocessor and the interfaces were realized through the I/O modules. Also, these modules are incorporated into the communication networks. The products of the project could be directly applicable to the following nuclear unit adopting the limitation system, providing the bumpless transition to the commercial design phase. And the prototype evaluation scheme will be very useful for the succeeding studies related to the digital nuclear I and C fields, such as fault-tolerance design methods, software verification and validation and response time execution of digital systems. 69 refs., 3 tabs., 44 figs. (author)

  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. A design for testability expert system for silicon compilers

    NARCIS (Netherlands)

    van Riessen, R.P.; van Riessen, R.P.; Kerkhoff, Hans G.; Janssen, J.M.J.

    1991-01-01

    This paper describes a design-for-testability expert system for the selection of the most appropriate test method for every macro within an IC. The interface with the system designer is user-friendly and together with an efficient search mechanism this expert system can be used as a framework for

  9. AN EXPERT SYSTEM MODEL FOR THE SELECTION OF TECHNICAL PERSONNEL

    Directory of Open Access Journals (Sweden)

    Emine COŞGUN

    2005-03-01

    Full Text Available In this study, a model has been developed for the selection of the technical personnel. In the model Visual Basic has been used as user interface, Microsoft Access has been utilized as database system and CLIPS program has been used as expert system program. The proposed model has been developed by utilizing expert system technology. In the personnel selection process, only the pre-evaluation of the applicants has been taken into consideration. Instead of replacing the expert himself, a decision support program has been developed to analyze the data gathered from the job application forms. The attached study will assist the expert to make faster and more accurate decisions.

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

    Science.gov (United States)

    Howlin, Katherine; Weissert, Jerry; Krantz, Kerry

    1988-01-01

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

  11. Testing validation tools on CLIPS-based expert systems

    Science.gov (United States)

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

    1991-01-01

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

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

    Science.gov (United States)

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

    2013-01-01

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

  13. Expert System for Test Program Set Fault Candidate Selection

    Science.gov (United States)

    1989-09-01

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

  14. 20 CFR 405.10 - Medical and Vocational Expert System.

    Science.gov (United States)

    2010-04-01

    ... 20 Employees' Benefits 2 2010-04-01 2010-04-01 false Medical and Vocational Expert System. 405.10 Section 405.10 Employees' Benefits SOCIAL SECURITY ADMINISTRATION ADMINISTRATIVE REVIEW PROCESS FOR ADJUDICATING INITIAL DISABILITY CLAIMS Introduction, General Description, and Definitions § 405.10 Medical and Vocational Expert System. (a) General....

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

    Science.gov (United States)

    Belkin, Nicholas J.; And Others

    1987-01-01

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

  16. 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…

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

    Science.gov (United States)

    Gingerich, W J; de Shazer, S

    1991-06-01

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

  18. Integrated Knowledge Based Expert System for Disease Diagnosis System

    Science.gov (United States)

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

    2017-08-01

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

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

    DEFF Research Database (Denmark)

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

    2014-01-01

    ). 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......, 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...... studies were used to validate the BRBES. The system generated results are effective and reliable than from manual system in terms of accuracy....

  20. Using Expert Systems in the Management of Industrial Equipment Maintenance

    OpenAIRE

    IOAN CUCU; CODRUŢA DURA; IMOLA DRIGĂ

    2009-01-01

    The term “expert system” generally evokes new management techniques in various fields of activity. The definition of the expert systems in terms of their architecture reveals three basic elements: the knowledgebase containing specialized knowledge in a certain area, taken from the human expert in that field; the facts which include information related to the situation of management and data concerning a certain problem to be solved and the inference engine which is intended to exploit the set...

  1. 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.

  2. 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.

  3. Development of a First-of-a-Kind Deterministic Decision-Making Tool for Supervisory Control System

    Energy Technology Data Exchange (ETDEWEB)

    Cetiner, Sacit M [ORNL; Kisner, Roger A [ORNL; Muhlheim, Michael David [ORNL; Fugate, David L [ORNL

    2015-07-01

    Decision-making is the process of identifying and choosing alternatives where each alternative offers a different approach or path to move from a given state or condition to a desired state or condition. The generation of consistent decisions requires that a structured, coherent process be defined, immediately leading to a decision-making framework. The overall objective of the generalized framework is for it to be adopted into an autonomous decision-making framework and tailored to specific requirements for various applications. In this context, automation is the use of computing resources to make decisions and implement a structured decision-making process with limited or no human intervention. The overriding goal of automation is to replace or supplement human decision makers with reconfigurable decision- making modules that can perform a given set of tasks reliably. Risk-informed decision making requires a probabilistic assessment of the likelihood of success given the status of the plant/systems and component health, and a deterministic assessment between plant operating parameters and reactor protection parameters to prevent unnecessary trips and challenges to plant safety systems. The implementation of the probabilistic portion of the decision-making engine of the proposed supervisory control system was detailed in previous milestone reports. Once the control options are identified and ranked based on the likelihood of success, the supervisory control system transmits the options to the deterministic portion of the platform. The deterministic multi-attribute decision-making framework uses variable sensor data (e.g., outlet temperature) and calculates where it is within the challenge state, its trajectory, and margin within the controllable domain using utility functions to evaluate current and projected plant state space for different control decisions. Metrics to be evaluated include stability, cost, time to complete (action), power level, etc. The

  4. 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...

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

    Science.gov (United States)

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

    2016-02-01

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

  6. Students' perceived supervisory needs.

    Science.gov (United States)

    Dowling, S; Wittkopp, J

    1982-07-01

    One hundred and ninety-one students from six Michigan University speech-language pathology training programs completed a 43-item questionnaire concerning their perceived supervisory needs in five areas: lesson plan and report writing, supervisor observation, conferencing, professional responsibility, and general supervisory practices. Selection criteria for students were academic status, university attended, and earned clinical clock hours. Student's perceptions of positive and negative supervisory practices differed significantly as a function of earned clinical clock hours and site of training. However, there were no differences in perception between undergraduate and graduate students.

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

    Science.gov (United States)

    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 provide a well-established methodology that can be used to define policies and procedures for continuous, concurrent performance evaluation. Although the field of statistical process control has been developed for monitoring industrial processes, its tools, techniques, and theory are easily transferred to the evaluation of expert systems. Statistical process tools provide convenient visual methods and heuristic guidelines for detecting meaningful changes in expert system performance. The underlying statistical theory provides estimates of the detection capabilities of alternative evaluation strategies. This paper describes a set of statistical process control tools that can be used to monitor the performance of a number of deployed medical expert systems. It describes how p-charts are used in practice to monitor the GermWatcher expert system. The case volume and error rate of GermWatcher are then used to demonstrate how different inspection strategies would perform.

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

    Science.gov (United States)

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

    2017-09-19

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

  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. Design of an expert system for phonetic speech recognition

    Energy Technology Data Exchange (ETDEWEB)

    Carbonell, N.; Haton, J.P.; Pierrel, J.M.; Lonchamp, F.

    1983-07-01

    Expert systems have been extensively used as a means for integrating the expertise of a human being into an artificial intelligence system. The authors are presently designing an expert system which will integrate the strategy and the knowledge of a phonetician reading a speech spectrogram. Their goal is twofold, firstly to obtain a better insight into the acoustic-decoding of speech, and, secondly, to improve the efficiency of present automatic phonetic recognition systems. This paper presents a preliminary description of the project, especially the overall strategy of the expert and the role of duration parameters in the segmentation and identification processes.

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

    Science.gov (United States)

    San, Ka-Yiu

    1988-01-01

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

  12. 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.

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

    Science.gov (United States)

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

    2014-03-01

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

  14. 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.

  15. 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.

  16. 基于Web的实时监控图形系统%A Real Time Supervisory Control Graphics System Based on Web

    Institute of Scientific and Technical Information of China (English)

    马瑞; 王琰

    2001-01-01

    This paper introduces Web Browser and the technology of Java Language,and applies these to the real time supervisory control graphical interface in SCADA(Supervisory Control and Data Acquisition)system.It fulfills the function of real time dealing with datum and periodic refreshing dynamic picture.The whole system can run in Web Browser with multi-platform.%介绍了Web浏览器与Java语言技术,并将其应用到SCADA系统实时监控图形界面中,完成实时处理数据和定时刷新动态画面功能.整个系统可跨平台运行在Web浏览器中.

  17. A learning-based synthesis approach to decentralized supervisory control of discrete event systems with unknown plants

    Institute of Scientific and Technical Information of China (English)

    Jin DAI; Hai LIN

    2014-01-01

    In this paper, we consider the problem of automatic synthesis of decentralized supervisor for uncertain discrete event systems. In particular, we study the case when the uncontrolled plant is unknown a priori. To deal with the unknown plants, we first characterize the conormality of prefix-closed regular languages and propose formulas for computing the supremal conormal sublanguages;then sufficient conditions for the existence of decentralized supervisors are given in terms of language controllability and conormality and a learning-based algorithm to synthesize the supervisor automatically is proposed. Moreover, the paper also studies the on-line decentralized supervisory control of concurrent discrete event systems that are composed of multiple interacting unknown modules. We use the concept of modular controllability to characterize the necessary and sufficient conditions for the existence of the local supervisors, which consist of a set of local supervisor modules, one for each plant module and which determines its control actions based on the locally observed behaviors, and an on-line learning-based local synthesis algorithm is also presented. The correctness and convergence of the proposed algorithms are proved, and their implementation are illustrated through examples.

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

    Science.gov (United States)

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

    2013-07-01

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

  19. Diagnosis of Skin Diseases using Online Expert System

    Directory of Open Access Journals (Sweden)

    Muhammad Zubair Asghar

    2011-06-01

    Full Text Available This paper describes Expert System (ES for diagnosis and management of skin diseases. More than 13 types of skin diseases can be diagnosed and treated by our system. It is rule based web-supported expert system, assisting skin specialists, medical students doing specialization in dermatology, researchers as well as skin patients having computer know-how. System was developed with Java Technology. The expert rules were developed on the symptoms of each type of skin disease, and they were presented using tree-graph and inferred using forward-chaining with depth-first search method. User interaction with system is enhanced with efficient user interfaces. The web based expert system described in this paper can detect and give early diagnosis of thirteen plus skin diseases. This ES can be extended to diagnose all types of skin-diseases.

  20. 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.

  1. 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.

  2. DECISIONS IN NEGOTIATIONS USING EXPERT SYSTEMS AND MATHEMATICAL METHODS

    Directory of Open Access Journals (Sweden)

    CORNELIA MUNTEAN

    2011-01-01

    Full Text Available The goal of this paper is at the very instant to highlight the role and the importance of mathematical multi-attribute methods, implemented in expert systems, in the preparing of international negotiation processes. We used Exsys Corvid as an expert system generator to implement a prototype of an expert system with three mathematical methods: the method of simple additive weight, the diameter method and the TOPSIS method. The applying of these methods in the exposed case study permitted the preparation and deployment of the negotiation in such a manner that the goals expected by the negotiator should be fulfilled.

  3. 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

  4. Use of expert systems in nuclear power plants

    Energy Technology Data Exchange (ETDEWEB)

    Uhrig, R.E.

    1989-01-01

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

  5. 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.

  6. 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.

  7. Expert performance on a virtual reality simulation system.

    Science.gov (United States)

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

    2007-06-01

    The objective of this research was to determine if the essence of expert performance could be captured on a virtual reality simulation system. Six experts in operative dentistry, six experts in periodontology, and six novice dental students performed a Class II tooth preparation task on the lower left second premolar. All subjects performed a pre-test to assess the basic skill level of each group. During the (limited) training component of the study, the three groups practiced three tooth preparations and received augmented feedback. At both a one-minute and one-day interval, subjects performed a final test in the absence of augmented feedback. All preparations were graded by the simulation system. The results showed at pre-test a significantly better performance of the experts in operative dentistry as compared to the novices. During the practice (acquisition) phase, the experts in operative dentistry outperformed both the periodontologists and novices, whereas the experts in periodontology performed more accurately than the novices. After one minute and one day following practice, similar results were obtained. Retention performance was most accurate after a one-day delay. Based on these results, the simulator appears to be a valid and reliable tool to capture expert performance. It is an effective screening device for assessing the level of expert performance.

  8. 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".

  9. Traffic supervisory/control system for Kobe-Awaji- Naruto expressway of Honshu-Shikoku Bridge Authority; Honshu Shikoku Renrakukyo Kodan nonyu no Kobe Awaji Naruto jidoshado kotsu kansei shisetsu seigyo system

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-03-01

    Toshiba delivered the traffic supervisory/control system for Kobe-Awaji-Naruto expressway of Honshu-Shikoku Bridge Authority opened in May 1998. This traffic supervisory system rapidly exactly collects and services the information on the expressway of 89km including Akashi Kaikyo bridge and O-Naruto bridge. The facility control system totally efficiently maintains and controls various facilities for lighting and air circulation of tunnels on the expressway. The previous control system transmitted road information on traffic volume and traffic congestion to offices by using specific lines and terminals, while this system with a monitoring function using intranet can easily service such information by existing PCs. (translated by NEDO)

  10. Traffic supervisory/control system for Kobe-Awaji- Naruto expressway of Honshu-Shikoku Bridge Authority. Honshu Shikoku Renrakukyo Kodan nonyu no Kobe Awaji Naruto jidoshado kotsu kansei shisetsu seigyo system

    Energy Technology Data Exchange (ETDEWEB)

    1999-03-01

    Toshiba delivered the traffic supervisory/control system for Kobe-Awaji-Naruto expressway of Honshu-Shikoku Bridge Authority opened in May 1998. This traffic supervisory system rapidly exactly collects and services the information on the expressway of 89km including Akashi Kaikyo bridge and O-Naruto bridge. The facility control system totally efficiently maintains and controls various facilities for lighting and air circulation of tunnels on the expressway. The previous control system transmitted road information on traffic volume and traffic congestion to offices by using specific lines and terminals, while this system with a monitoring function using intranet can easily service such information by existing PCs. (translated by NEDO)

  11. Indirect Adaptive Fuzzy Output Feedback Control with Supervisory Controller for Uncertain Nonlinear Systems%非线性系统的间接自适应模糊输出反馈监督控制

    Institute of Scientific and Technical Information of China (English)

    佟绍成; 柴天佑

    2005-01-01

    In this paper, an indirect adaptive fuzzy output feedback controller with supervisory mode for a class of unknown nonlinear systems is developed. The proposed approach does not need the availability of the state variables, moreover, a supervisory controller is appended to the adaptive fuzzy controller to force the state to be within the constraint set. Therefore, if the adaptive fuzzy controller cannot maintain the stability, the supervisory controller starts to work to guarantee stability. On the other hand, if the adaptive fuzzy controller works well, the supervisory controller will be de-activated. The overall adaptive fuzzy control scheme guarantees the stability of the whole closed-loop systems. The simulation results confirm the effectiveness of the proposed method.

  12. Implementation of Combat Simulation Through Expert Support Systems

    Directory of Open Access Journals (Sweden)

    M. R. Subramanian

    1987-10-01

    Full Text Available The battlefield simulation is often faced with a bewildering array of conflicting stresses and challenges. Communication is currently slower and more costly than computation. Expert System technologies such as production rule systems allow one to acquire and represent the collection of heuristic rules in computer compatible form. The system also include master control programs that determine the order in which these rules should be applied against the monitored system performance to arrive at appropriate system control. These expert systems are used in two nodes, both as an intelligence assistant to the expert, amplifying the capacity and quality of his work, and as a surrogate for an expert when he is not available. An Expert support System (ESS designed and developed for combat simulation has been enumerated in this article. The quality and the reliability of the inferred tactical situation is improved by using PROLOG. This formal AI language is used for validating and checking sensor detections for consistency and logical plausibility. The supremacy of PROLOG for creating and interrogating a data base helps maintaining a reasonably coherent feature of the tactical situation. The perils and pitfalls of tackling with expert systems have also been underscored.

  13. 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

  14. 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

  15. An Expert Systems Approach for PR Campaigns Research.

    Science.gov (United States)

    Cameron, Glen T.; Curtin, Patricia A.

    1992-01-01

    Describes an expert system (the artificial intelligence program "Publics") that helps users identify key publics for public relations campaigns. Examines advantages and problems encountered in its use in public relations campaigns classrooms. (SR)

  16. Evaluation of Groundwater Pollution Nitrogen Fertilizer Using Expert System

    OpenAIRE

    Ta-oun, Mongkon; Daud, Mohamed; Bardaie, Mohd Zohadie

    2017-01-01

    An expert system was used to correlate the availability of nitrogen fertilizer with the vulnerability of groundwater to pollution in Peninsula Malaysia to identify potential groundwater quality problems. The expert system could predict the groundwater pollution potential under several conditions of agricultural activities and exiting environments. Four categories of groundwater pollution potential were identified base on an N-fertilizer groundwater pollution potential index. A groundwater pol...

  17. MultiCASE Expert Systems and the REACH Initiative.

    Science.gov (United States)

    Saiakhov, Roustem D; Klopman, Gilles

    2008-01-01

    ABSTRACT This article is a review of the MultiCASE Inc. software and expert systems and their use to assess acute toxicity, mutagenicity, carcinogenicity, and other health effects. It is demonstrated that MultiCASE expert systems satisfy the guidelines of the Organisation for Economic Cooperation and Development (OECD) principles and that the portfolio of available endpoints closely overlaps with the list of tests required by REACH.

  18. Computer-aided diagnosis expert system for cerebrovascular diseases.

    Science.gov (United States)

    Chen, Xu; Wang, Zhijun; Sy, Chrisopher; Liu, Xiaokun; Qian, Jinwu; Zheng, Jia; Dong, Zhiqiang; Cao, Limei; Geng, Xiang; Xu, Shuye; Liu, Xueyuan

    2014-05-01

    To establish an expert diagnosis system for cerebrovascular diseases (CVDs) and assess accuracy of the diagnosis system. An expert diagnosis system for CVDs was established and evaluated using actual clinical cases. An expert diagnosis system for CVDs was established and tested in 319 clinical patients. Diagnosis accordance was obtained in 307 patients (the diagnosis accordance rate was 96.2%). Involved were 223, 7, 23, 54 and 12 patients with cerebral thrombosis, cerebral embolism, transient ischemic attack, cerebral hemorrhage and subarachnoid hemorrhage, respectively; and diagnosis accordance was obtained in 219 (98.2%), 6 (85.7%), 23 (100%), 48 (88.9%) and 11 (91.7%), respectively. Overall, the case analysis results support and demonstrate the diagnostic reasoning accuracy of the expert diagnosis system for CVDs. With the expert diagnosis system, medical experts' diagnosis of CVDs can be effectively mimicked and auxiliary diagnosis of CVDs has been preliminarily realized, laying a foundation for increasing the diagnostic accuracy of clinical diagnoses as it pertains to CVDs.

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

    Science.gov (United States)

    Muratore, John F.

    1987-01-01

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

  20. 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.

  1. 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.

  2. Application of an automation system and a supervisory control and data acquisition (SCADA) system for the optimal operation of a membrane adsorption hybrid system.

    Science.gov (United States)

    Smith, P J; Vigneswaran, S; Ngo, H H; Nguyen, H T; Ben-Aim, R

    2006-01-01

    The application of automation and supervisory control and data acquisition (SCADA) systems to municipal water and wastewater treatment plants is rapidly increasing. However, the application of these systems is less frequent in the research and development phases of emerging treatment technologies used in these industries. This study involved the implementation of automation and a SCADA system to the submerged membrane adsorption hybrid system for use in a semi-pilot scale research project. An incremental approach was used in the development of the automation and SCADA systems, leading to the development of two new control systems. The first system developed involved closed loop control of the backwash initiation, based upon a pressure increase, leading to productivity improvements as the backwash is only activated when required, not at a fixed time. This system resulted in a 40% reduction in the number of backwashes required and also enabled optimised operations under unsteady concentrations of wastewater. The second system developed involved closed loop control of the backwash duration, whereby the backwash was terminated when the pressure reached a steady state. This system resulted in a reduction of the duration of the backwash of up to 25% and enabled optimised operations as the foulant build-up within the reactor increased.

  3. 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.

  4. PERFORMANCE EVALUATION OF PENSION FUNDS WITH FUZZY EXPERT SYSTEM

    Directory of Open Access Journals (Sweden)

    SERDAR KORUKOĞLU

    2013-06-01

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

  5. 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.

  6. Transferring Knowledge: A Parallel between Teaching Chemical Engineering and Developing Expert Systems.

    Science.gov (United States)

    Roberge, P. R.

    1990-01-01

    Discussed are expert systems development and teaching, the representation and processing of knowledge, knowledge representation in chemical engineering, and expert systems in chemical engineering. The seven phases of expert system development are illustrated. (CW)

  7. Expert system for skin problem consultation in Thai traditional medicine.

    Science.gov (United States)

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

    2014-01-01

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

  8. 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.

  9. An on-line remote supervisory system for microparticles based on image analysis

    Science.gov (United States)

    Liu, Wei-Hua; Jiang, Ming-Shun; Sui, Qing-Mei

    2011-11-01

    A new on-line remote particle analysis system based on image processing has been developed to measure microparticles. The system is composed of particle collector sensor (PCS), particle image sensor (PIS), image remote transmit module and image processing system. Then some details of image processing are discussed. The main advantage of this system is more convenient in particle sample collection and particle image acquisition. The particle size can be obtained using the system with a deviation abot less than 1 μm, and the particle number can be obtained without deviation. The developed system is also convenient and versatile for other analyses of microparticle for academic and industrial application.

  10. Web-based expert system for foundry pollution prevention

    Science.gov (United States)

    Moynihan, Gary P.

    2004-02-01

    Pollution prevention is a complex task. Many small foundries lack the in-house expertise to perform these tasks. Expert systems are a type of computer information system that incorporates artificial intelligence. As noted in the literature, they provide a means of automating specialized expertise. This approach may be further leveraged by implementing the expert system on the internet (or world-wide web). This will allow distribution of the expertise to a variety of geographically-dispersed foundries. The purpose of this research is to develop a prototype web-based expert system to support pollution prevention for the foundry industry. The prototype system identifies potential emissions for a specified process, and also provides recommendations for the prevention of these contaminants. The system is viewed as an initial step toward assisting the foundry industry in better meeting government pollution regulations, as well as improving operating efficiencies within these companies.

  11. Towards a Fuzzy Expert System on Toxicological Data Quality Assessment.

    Science.gov (United States)

    Yang, Longzhi; Neagu, Daniel; Cronin, Mark T D; Hewitt, Mark; Enoch, Steven J; Madden, Judith C; Przybylak, Katarzyna

    2013-01-01

    Quality assessment (QA) requires high levels of domain-specific experience and knowledge. QA tasks for toxicological data are usually performed by human experts manually, although a number of quality evaluation schemes have been proposed in the literature. For instance, the most widely utilised Klimisch scheme1 defines four data quality categories in order to tag data instances with respect to their qualities; ToxRTool2 is an extension of the Klimisch approach aiming to increase the transparency and harmonisation of the approach. Note that the processes of QA in many other areas have been automatised by employing expert systems. Briefly, an expert system is a computer program that uses a knowledge base built upon human expertise, and an inference engine that mimics the reasoning processes of human experts to infer new statements from incoming data. In particular, expert systems have been extended to deal with the uncertainty of information by representing uncertain information (such as linguistic terms) as fuzzy sets under the framework of fuzzy set theory and performing inferences upon fuzzy sets according to fuzzy arithmetic. This paper presents an experimental fuzzy expert system for toxicological data QA which is developed on the basis of the Klimisch approach and the ToxRTool in an effort to illustrate the power of expert systems to toxicologists, and to examine if fuzzy expert systems are a viable solution for QA of toxicological data. Such direction still faces great difficulties due to the well-known common challenge of toxicological data QA that "five toxicologists may have six opinions". In the meantime, this challenge may offer an opportunity for expert systems because the construction and refinement of the knowledge base could be a converging process of different opinions which is of significant importance for regulatory policy making under the regulation of REACH, though a consensus may never be reached. Also, in order to facilitate the implementation

  12. 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.

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

    Science.gov (United States)

    Bryant, Thomas; Cruse, Bryant; Wende, Charles

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

  14. 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).

  15. An expert system for spectroscopic analysis of rocket engine plumes

    Science.gov (United States)

    Reese, Greg; Valenti, Elizabeth; Alphonso, Keith; Holladay, Wendy

    The expert system described in this paper analyzes spectral emissions of rocket engine exhaust plumes and shows major promise for use in engine health diagnostics. Plume emission spectroscopy is an important tool for diagnosing engine anomalies, but it is time-consuming and requires highly skilled personnel. The expert system was created to alleviate such problems. The system accepts a spectral plot in the form of wavelength vs intensity pairs and finds the emission peaks in the spectrum, lists the elemental emitters present in the data and deduces the emitter that produced each peak. The system consists of a conventional language component and a commercially available inference engine that runs on an Apple Macintosh computer. The expert system has undergone limited preliminary testing. It detects elements well and significantly decreases analysis time.

  16. Development of an Expert System for Reducing Medical Errors

    Directory of Open Access Journals (Sweden)

    Mohamed Ramadan

    2013-11-01

    Full Text Available Recent advances in patient safety have been hampered by the harddealing with the development of auniform classification of patient safety conceptsin a systematic way.Therefore, many believe that medicalexpert systems have great potential to improve health care.A framework for computer-based medicalerrors diagnoses of primary systems’ deficiencies is presented.Results of this research assisted indeveloping the hierarchical structure of the medical errors expert system whichwaswritten and compliedin CLIPS. It has225rules,52parameters and830conditional paragraphs. The system prompts the userfor response with suggested input formats. The system checks the user input for consistency within thegiven limits. In addition, the system was validated through numerous consultations with the experts in thefield.The benefits thataregained from such types of expert systemsare eliminatingthe fear from dealingwithpersonal mistake, and providing the up-date information and helps medical staff as a learning tool

  17. An on-line remote supervisory system for microparticles based on image analysis

    Institute of Scientific and Technical Information of China (English)

    LIU Wei-hua; JIANG Ming-shun; SUI Qing-mei

    2011-01-01

    A new on-line remote particle analysis system based on image processing has been developed to measure microparticles.The system is composed of particle collector sensor (PCS),particle image sensor (PIS),image remote wansmit module and image processing system.Then some details of image processing are discussed.The main advantage of this system is more convenient in particle sample collection and particle image acquisition.The particle size can be obtained using the system with a deviation abot less than 1 μm,and the particle number can be obtained without deviation,The developed system is also convenient and versatile for other analyses of microparticle for academic and industrial application.

  18. Communicating Processes with Data for Supervisory Coordination

    Directory of Open Access Journals (Sweden)

    Jasen Markovski

    2012-08-01

    Full Text Available We employ supervisory controllers to safely coordinate high-level discrete(-event behavior of distributed components of complex systems. Supervisory controllers observe discrete-event system behavior, make a decision on allowed activities, and communicate the control signals to the involved parties. Models of the supervisory controllers can be automatically synthesized based on formal models of the system components and a formalization of the safe coordination (control requirements. Based on the obtained models, code generation can be used to implement the supervisory controllers in software, on a PLC, or an embedded (microprocessor. In this article, we develop a process theory with data that supports a model-based systems engineering framework for supervisory coordination. We employ communication to distinguish between the different flows of information, i.e., observation and supervision, whereas we employ data to specify the coordination requirements more compactly, and to increase the expressivity of the framework. To illustrate the framework, we remodel an industrial case study involving coordination of maintenance procedures of a printing process of a high-tech Oce printer.

  19. An expert system for a local planning environment

    NARCIS (Netherlands)

    Meester, G.J.; Meester, G.J.

    1993-01-01

    In this paper, we discuss the design of an Expert System (ES) that supports decision making in a Local Planning System (LPS) environment. The LPS provides the link between a high level factory planning system (rough cut capacity planning and material coordination) and the actual execution of jobs on

  20. Integration of supervisory control synthesis in model-based systems engineering

    NARCIS (Netherlands)

    J.C.M. Baeten (Jos); J.M. van de Mortel-Fronczak; J.E. Rooda

    2011-01-01

    htmlabstractDue to increasing system complexity, time-to-market and development costs reduction, there are higher demands on engineering processes. Model-based engineering processes can play a role here because they support system development by enabling the use of various model-based analysis

  1. PEM fuel stack dynamics, constraining supervisory control for propulsion systems in fuel cell busses

    NARCIS (Netherlands)

    Tazelaar, Edwin; Veenhuizen, Bram; Middelman, E.; Bosch, P. van den

    2013-01-01

    The last decade several prototypes of fuel cell busses have been presented [1, 2]. A closer observation of these prototypes shows remarkable differences in both sizing and control of the system components. Some busses are essentially electric vehicles with a relative low power fuel cell system used

  2. Rule - based Fault Diagnosis Expert System for Wind Turbine

    Directory of Open Access Journals (Sweden)

    Deng Xiao-Wen

    2017-01-01

    Full Text Available Under the trend of increasing installed capacity of wind power, the intelligent fault diagnosis of wind turbine is of great significance to the safe and efficient operation of wind farms. Based on the knowledge of fault diagnosis of wind turbines, this paper builds expert system diagnostic knowledge base by using confidence production rules and expert system self-learning method. In Visual Studio 2013 platform, C # language is selected and ADO.NET technology is used to access the database. Development of Fault Diagnosis Expert System for Wind Turbine. The purpose of this paper is to realize on-line diagnosis of wind turbine fault through human-computer interaction, and to improve the diagnostic capability of the system through the continuous improvement of the knowledge base.

  3. Automatic Supervisory System Synthesis for Port Cranes Collision Prevention by Using Petri Net

    Directory of Open Access Journals (Sweden)

    Danko Kezić

    2006-05-01

    Full Text Available The article deals with the system of port cranes comprisingtwo independently controlled cranes which are simultaneouslyengaged in the transhipment of cargo between a vessel and arailway wagon assembly alongside. The crane operator's errorcan lead to tlie collision of cranes. Therefore, it is necessary toinstall the supervisor in an automatic control system with thefunctions of continuous supervision of the process of cranemovement, and blocking of commands that can lead to collision.The article shows the method of crane system modellingas a discrete event system by using PIT and P-timed Petri nets.There is a proposal of a formal mathematic method for calculationof the state supervisor by P-invariant method. The supervisorcalculated in this way is maximally permissive supervisor.The efficiency of the supervisor is verified by a computer simulation.

  4. Identifying Supervisory Control and Data Acquisition (SCADA) Systems on a Network via Remote Reconnaissance

    Science.gov (United States)

    2006-09-01

    of the OSI networking framework, charged with routing of communications between localized networks. ISA Instrumentation, Systems, and Automation...Profibus) for use on a TCP/IP network. RTU Remote Terminal Unit – An electronic device where input and output from sensors and actuators are aggregated...Units ( RTUs ) • Human Machine Interfaces (HMIs) • Control Networks. Other research has delimited control systems in differing ways.9 Generally

  5. Medical expert systems developed in j.MD, a Java based expert system shell: application in clinical laboratories.

    Science.gov (United States)

    Van Hoof, Viviane; Wormek, Arno; Schleutermann, Sylvia; Schumacher, Theo; Lothaire, Olivier; Trendelenburg, Christian

    2004-01-01

    Growing complexity of diagnostic tests, combined with increased workload, stringent laboratory accreditation demands, continuous shortening of turn-around-time and budget restrictions have forced laboratories to automate most of their iterative tasks. Introduction of artificial intelligence by means of expert systems has gained an important place in this automation process. Different parts of clinical laboratory activity can benefit from their implementation and the present project deals with one aspect, namely the clinical interpretation of diagnostic tests. This paper describes how j.MD, a new Java based expert system shell, was used to reprogram the expert system for interpretation of amylase isoenzyme patterns that has been in use for many years in our laboratory, and that was originally programmed in Pro.MD, a Prolog based expert system shell. One of the most important advantages of the j.MD system is its bidirectional link with the laboratory information system. This project shows how expert systems for the interpretation of complex diagnostic tests that demand specific expertise can become an integrated part of the automated clinical chemistry lab.

  6. An expert system for natural language processing

    Science.gov (United States)

    Hennessy, John F.

    1988-01-01

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

  7. Expert System for Earthquake Prediction (ESEP3.0)

    Institute of Scientific and Technical Information of China (English)

    Wang Wei; Wu Gengfeng; Zhang Bofeng; Li Shengle; Zheng Zhaobi; Lu Yuanzhong

    2004-01-01

    A brand new expert system for earthquake prediction, called ESEP3.0, was successfullydeveloped recently, in which the fuzzy technology and neural network conception wereincorporated and the steering inference mechanism was introduced. In addition to the functionsof symbol inference and explanation of the first generation of the expert system and theknowledge learning of the second generation, ESEP3.0 has stronger human-machineinteraction function. It consists of knowledge edition, machine learning, steering fuzzyinference engine and synchronous explanation subsystems. In this paper, the components andthe general description of the system are introduced.

  8. ESP: an expert system for poisoning diagnosis and management.

    Science.gov (United States)

    Batista-Navarro, Riza Theresa B; Bandojo, Diana A; Gatapia, M A Jaymee Krisette; Santos, Reggie Nicolo C; Marcelo, Alvin B; Panganiban, Lynn Crisanta R; Naval, Prospero C

    2010-03-01

    We describe a clinical decision support system (CDSS) designed to provide timely information germane to poisoning. The CDSS aids medical decision making through recommendations to clinicians for immediate evaluation. The system is implemented as a rule-based expert system with two major components: the knowledge base and the inference engine. The knowledge base serves as the database which contains relevant poisoning information and rules that are used by the inference engine in making decisions. This expert system accepts signs and symptoms observed from a patient as input and presents a list of possible poisoning types with the corresponding management procedures which may be considered in making the final diagnosis. A knowledge acquisition tool (KAT) that allows toxicological experts to update the knowledge base was also developed. This article describes the architecture of the fully featured system, the design of the CDSS and the KAT as web applications, the utilisation of the inferencing mechanism of C Language Integrated Production System (CLIPS), which is an expert system shell that helps the system in decision-making tasks, the methods used as well as problems encountered. We also present the results obtained after testing the system and propose some recommendations for future work.

  9. The Science of Computing: Expert Systems

    Science.gov (United States)

    Denning, Peter J.

    1986-01-01

    The creative urge of human beings is coupled with tremendous reverence for logic. The idea that the ability to reason logically--to be rational--is closely tied to intelligence was clear in the writings of Plato. The search for greater understanding of human intelligence led to the development of mathematical logic, the study of methods of proving the truth of statements by manipulating the symbols in which they are written without regard to the meanings of those symbols. By the nineteenth century a search was under way for a universal system of logic, one capable of proving anything provable in any other system.

  10. A High Operability Supervisory Digital System for TRIGA-Type Research Reactors

    Energy Technology Data Exchange (ETDEWEB)

    Aronica, O.; Bove, R.; Cappelli, M.; Falconi, L.; Palomba, M.; Santoro, E.; Sepielli, M. [ENEA, UTFISST, Casaccia Research Center, Via Anguillarese, 301 Rome (Italy); Memmi, F. [University of Rome ' Roma Tre' , Department of Electrical Engineering, Via della Vasca Navale, 84 Rome (Italy)

    2011-07-01

    In this work, we propose an outline of a monitoring system to supervise variables coming from a fission nuclear reactor of TRIGA type (1-MW TRIGA reactor RC-1). The system can interface the control room instrumentation and can display the characteristic parameters (e.g. nuclear power, temperatures, flow rates, radiological parameters) in an intuitive, user-friendly way for plant operators. This aim is achieved using the Labview development environment. A front panel of a virtual instrument allows for a direct measure and a check that would not be possible by only reading the output data coming from the instruments of the control room, because of their standards and strict safety regulations. The acquisition system, for signals coming from the reactor, can process data and generate a detailed representation of the results. Statistics resulting from data analysis will be interpreted to optimize reactor management parameters. This system also includes a simulation tool to predict specific performances and investigate critical phenomena, or to optimize overall plant performances. In particular, it allows to have a feedback control and to perform predictive statistical surveys of all main process parameters. (author)

  11. Supervisory control of a heavy-duty diesel engine with an electrified waste heat recovery system

    NARCIS (Netherlands)

    Feru, E.; Murgovski, N.; Jager, B. de; Willems, F.P.T.

    2016-01-01

    This paper presents an integrated energy and emission management strategy, called Integrated Power- train Control(IPC), for an Euro-VI diesel engine with an electrified waste heat recovery system. This strategy optimizes the CO – NOx 2 trade-off by minimizing the operational costs associated with fu

  12. Supervisory control of a heavy-duty diesel engine with an electrified waste heat recovery system

    NARCIS (Netherlands)

    Feru, E.; Murgovski, N.; Jager, B. de; Willems, F.P.T.

    2016-01-01

    This paper presents an integrated energy and emission management strategy, called Integrated Power- train Control(IPC), for an Euro-VI diesel engine with an electrified waste heat recovery system. This strategy optimizes the CO – NOx 2 trade-off by minimizing the operational costs associated with fu

  13. Towards a framework for selection of supervisory control for commercial buildings: HVAC system energy efficiency

    Energy Technology Data Exchange (ETDEWEB)

    Ramachandran, Thiagarajan; Kundu, Soumya; Chen, Yan; Vrabie, Draguna L.

    2017-07-03

    This paper develops and utilizes an optimization based framework to investigate the maximal energy efficiency potentially attainable by HVAC system operation in a non-predictive context. Performance is evaluated relative to the existing state of the art set-point reset strategies. The expected efficiency increase driven by operation constraints relaxations is evaluated.

  14. What is an expert? A systems perspective on expertise.

    Science.gov (United States)

    Caley, Michael Julian; O'Leary, Rebecca A; Fisher, Rebecca; Low-Choy, Samantha; Johnson, Sandra; Mengersen, Kerrie

    2014-02-01

    Expert knowledge is a valuable source of information with a wide range of research applications. Despite the recent advances in defining expert knowledge, little attention has been given to how to view expertise as a system of interacting contributory factors for quantifying an individual's expertise. We present a systems approach to expertise that accounts for many contributing factors and their inter-relationships and allows quantification of an individual's expertise. A Bayesian network (BN) was chosen for this purpose. For illustration, we focused on taxonomic expertise. The model structure was developed in consultation with taxonomists. The relative importance of the factors within the network was determined by a second set of taxonomists (supra-experts) who also provided validation of the model structure. Model performance was assessed by applying the model to hypothetical career states of taxonomists designed to incorporate known differences in career states for model testing. The resulting BN model consisted of 18 primary nodes feeding through one to three higher-order nodes before converging on the target node (Taxonomic Expert). There was strong consistency among node weights provided by the supra-experts for some nodes, but not others. The higher-order nodes, "Quality of work" and "Total productivity", had the greatest weights. Sensitivity analysis indicated that although some factors had stronger influence in the outer nodes of the network, there was relatively equal influence of the factors leading directly into the target node. Despite the differences in the node weights provided by our supra-experts, there was good agreement among assessments of our hypothetical experts that accurately reflected differences we had specified. This systems approach provides a way of assessing the overall level of expertise of individuals, accounting for multiple contributory factors, and their interactions. Our approach is adaptable to other situations where it is

  15. Expert Students in Social Learning Management Systems

    Science.gov (United States)

    Avogadro, Paolo; Calegari, Silvia; Dominoni, Matteo Alessandro

    2016-01-01

    Purpose: A social learning management system (social LMS) is a tool which favors social interactions and allows scholastic institutions to supervise and guide the learning process. The inclusion of the social feature to a "normal" LMS leads to the creation of educational social networks (EduSN), where the students interact and learn. The…

  16. 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.

  17. Evaluating Information Assurance Control Effectiveness on an Air Force Supervisory Control and Data Acquisition (SCADA) System

    Science.gov (United States)

    2011-03-01

    technology in a variety of methods to secure systems to achieve multilayer, multidimensional protection, like the defenses of a medieval castle (Ashley...human injury or death, depending on the location (Carmody, Hammerschmidt, Goglia & Black , 2002). For instance, on 20 September 2010, a gas line...the worm and have spent substantial resources in cleaning-up, the worm is so virulent that they continue to be plagued by it (Barnes, 2010

  18. An Expert System Helps Students Learn Database Design

    Science.gov (United States)

    Post, Gerald V.; Whisenand, Thomas G.

    2005-01-01

    Teaching and learning database design is difficult for both instructors and students. Students need to solve many problems with feedback and corrections. A Web-based specialized expert system was created to enable students to create designs online and receive immediate feedback. An experiment testing the system shows that it significantly enhances…

  19. Profile of the first generation of marketing expert systems

    OpenAIRE

    Wierenga, Berend

    1990-01-01

    textabstractThe emergence of expert systems in marketing can be seen as the next step in the development of the use of computers in marketing management, where starting out with an almost exclusively mathematical model building/optimization approach, gradually more judgmental elements from managerial experience were added (decision calculus; marketing decision support systems).

  20. An Expert System Helps Students Learn Database Design

    Science.gov (United States)

    Post, Gerald V.; Whisenand, Thomas G.

    2005-01-01

    Teaching and learning database design is difficult for both instructors and students. Students need to solve many problems with feedback and corrections. A Web-based specialized expert system was created to enable students to create designs online and receive immediate feedback. An experiment testing the system shows that it significantly enhances…

  1. Improving Computer Based Speech Therapy Using a Fuzzy Expert System

    OpenAIRE

    Ovidiu Andrei Schipor; Stefan Gheorghe Pentiuc; Maria Doina Schipor

    2012-01-01

    In this paper we present our work about Computer Based Speech Therapy systems optimization. We focus especially on using a fuzzy expert system in order to determine specific parameters of personalized therapy, i.e. the number, length and content of training sessions. The efficiency of this new approach was tested during an experiment performed with our CBST, named LOGOMON.

  2. Expert Systems for Computerised Wargames (Short Communication

    Directory of Open Access Journals (Sweden)

    Mohan Viakat

    2002-01-01

    Full Text Available Computerised wargaming have emerged as an important tool to train the field commanders in a cost effective manner because of its ability to incorporate all the mechanics and vagaries of warfare and at the same time reduce the cost and complexity of stage managing such training . However , while trying to convert tactical combat rules into a computerised system with the rigid limitation of software semantics.

  3. Qualitative Reasoning in an Expert System Framework.

    Science.gov (United States)

    1983-05-01

    the mini-world of the roller coaster and contributed the concept of envisionment . Envision- mont predicts system behavior through qualitative...about specific domain equations. His contribu- tions was a weak form of physical reasoning called envisionment which allowed the computer to predict...Administration. NASA-T-80194. [371 Kulpers. B. (1982). Getting the Envisionment Right. kriofinu gL Ih National Conferencej AtiUfia Zaekte". pp. 209-212. [381

  4. Psoriasis, a Systemic Disease? - Expert Opinion

    Directory of Open Access Journals (Sweden)

    Nilgün Atakan

    2012-09-01

    Full Text Available Psoriasis is a chronic inflammatory disease which is characterized by plaques with shiny white desquamation on the skin. It affects 1 to 3% of different ethnic populations. The disease significantly lowers the quality of life for the patients as the lesions appear on visible regions such as the scalp, face and extremities causing pruritus and extensive use of topical agents with a poor rate of recovery and the disease has a recurrent course with frequent attacks. Psoriasis was previously assumed to be a cutaneous disease resulting from epidermal cell hyperproliferation for a long time. However, studies conducted on the etiopathogenesis of the disease revealed that psoriasis is a chronic autoinflammatory disease which is caused by immune system dysregulation. Recently, the frequent association of psoriasis with other autoinflammatory diseases, comorbidities and complications which indeed shorten life expectancy concluded that psoriasis is a systemic disease and created a major difference in its treatment and follow-up modalities. In this review, the comorbidities, which are shown to be related to systemic inflammation and which also share a common pathogenesis with psoriasis, will be discussed.

  5. Advances in metal forming expert system for metal forming

    CERN Document Server

    Hingole, Rahulkumar Shivajirao

    2015-01-01

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

  6. 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.

  7. Automating Rule Strengths in Expert Systems.

    Science.gov (United States)

    1987-05-01

    LOOPRISS ICp. Som m ZIP C -ui ft. A00*68 (Cut. Sm &% ZIP CW$ Air Force System Command Durham, North Carolina 27706 Bolling AFB./ 6 \\ L10...These aluis aie procelsed by combinators C ana C9, attenultors A and A , and integrator I . The output of integrator 11 is thl certainty factor of...and DI are NP-Complete. DI is NP- Complete by a slight modification of Theorem 3.2 by Ibarra and Sahni [19751; since DI is a special case of DG, and

  8. An Expert System for Autonomous Spacecraft Control

    Science.gov (United States)

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

    2005-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Nagabhushana KATTE

    2011-03-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1988-01-01

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

  11. 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.

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

    Directory of Open Access Journals (Sweden)

    Vahid Rafe

    2013-02-01

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

  13. 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.

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

    Directory of Open Access Journals (Sweden)

    Vahid Rafe

    2013-01-01

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

  15. An Expert System Approach to Global Fault Detection and Isolation Design

    Science.gov (United States)

    1990-01-01

    problem solving skill of a human expert in a narrow domain. The development of the expert systen design assistant is feasible since the domain...technology. An expert system is a computer program that mimics the problem solving skill of a human expert in a narrow domain. The development of the expert

  16. 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.

  17. Human Disease Diagnosis Using a Fuzzy Expert System

    CERN Document Server

    Hasan, Mir Anamul; Chowdhury, Ahsan Raja

    2010-01-01

    Human disease diagnosis is a complicated process and requires high level of expertise. Any attempt of developing a web-based expert system dealing with human disease diagnosis has to overcome various difficulties. This paper describes a project work aiming to develop a web-based fuzzy expert system for diagnosing human diseases. Now a days fuzzy systems are being used successfully in an increasing number of application areas; they use linguistic rules to describe systems. This research project focuses on the research and development of a web-based clinical tool designed to improve the quality of the exchange of health information between health care professionals and patients. Practitioners can also use this web-based tool to corroborate diagnosis. The proposed system is experimented on various scenarios in order to evaluate it's performance. In all the cases, proposed system exhibits satisfactory results.

  18. Expert System Constant False Alarm Rate (CFAR) Processor

    Science.gov (United States)

    2006-09-01

    Processor has been developed on a Sun Sparc Station 4/470 using a commercial-off-the-shelf software development package called G2 by Gensym Corporation...size of the training data set. A prototype expert system CFAR Processor has been presented which applies artificial intelligence to CFAR detection

  19. Expert systems and multivariate analysis in clinical chemistry

    NARCIS (Netherlands)

    R.W. Wulkan (Remi)

    1992-01-01

    textabstractThe object of this thesis is to explore how expert systems may be helpful in information enhancement for clinical chemistry. Several prototypes have been built in order to investigate the advantages and disadvantages. A discussion of existing and new ideas with ample references has been

  20. Profile of the first generation of marketing expert systems

    NARCIS (Netherlands)

    B. Wierenga (Berend)

    1990-01-01

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

  1. Expert systems and multivariate analysis in clinical chemistry

    NARCIS (Netherlands)

    R.W. Wulkan (Remi)

    1992-01-01

    textabstractThe object of this thesis is to explore how expert systems may be helpful in information enhancement for clinical chemistry. Several prototypes have been built in order to investigate the advantages and disadvantages. A discussion of existing and new ideas with ample references has been

  2. Experts Approve Development of A Micro-DAFC System

    Institute of Scientific and Technical Information of China (English)

    2004-01-01

    @@ Proposed research into a micro-power system for a direct alcohol fuel cell (DAFC)was approved by a panel of experts at an evaluation meeting held under the auspices of the CAS Bureau of High-tech Development on Oct. 28 in Dalian, Northeast China's Liaoning Province.

  3. Contribution of a fuzzy expert system to regulatory impact analysis

    Directory of Open Access Journals (Sweden)

    Marco Antônio da Cunha

    2015-09-01

    Full Text Available Regulatory Impact Analysis (RIA has been consolidating in Brazilian regulatory agencies throughout the last decades. The RIA methodology aims to examine the regulatory process, measure the costs and benefits generated, as well as other effects of social, political or economic nature caused by a new or an existing regulation. By analysing each regulatory option, the expert or regulator faces a myriad of variables, usually of qualitative nature, that are difficult to measure and with a high degree of uncertainty. This research complements the existing literature, given the scarcity of decision support models in RIA that – regardless of the problem treated – incorporate the tacit knowledge of the regulation expert. This paper proposes an exploratory approach using a Fuzzy Expert System, which therefore helps to enrich the decision process in the final stage of comparison of the regulatory options.

  4. [Expert systems in medicine: possible uses in anesthesia].

    Science.gov (United States)

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

    1994-04-01

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

  5. Expert System for the Tornado Ground-Based Check-Out System,

    Science.gov (United States)

    demonstrator, supporting the TORNADO check-out system, has been developed and tested. The expert system , called TORRES (TORNADO Radar Readiness Expert ...flight. The expert system is also able to exclude errors, that were generated by other systems capable of changing the state of the radar system and... System ), supports debriefing staff with various levels of experience. The scope of the error detection encompasses the TORNADO Terrain Following and

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1995-12-31

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

  7. Government regulation and associated innovations in building energy-efficiency supervisory systems for large-scale public buildings in a market economy

    Energy Technology Data Exchange (ETDEWEB)

    Dai Xuezhi [China Academy of Building Research, Beijing 100013 (China)], E-mail: daixz9999@126.com; Wu Yong [Ministry of Housing and Urban-Rural Development of the People' s Republic of China, Beijing 100835 (China); Di Yanqiang [China Academy of Building Research, Beijing 100013 (China); Li Qiaoyan [Department of Building, School of Design and Environment, National University of Singapore (Singapore)

    2009-06-15

    The supervision of energy efficiency in government office buildings and large-scale public buildings is the main embodiment for government implementation of Public Administration in the fields of resource saving and environmental protection. Aimed at improving the current situation of lack of government administration in building energy efficiency, this paper proposes the concept of 'change and redesign of governmental supervision in building energy efficiency', repositioning the role of government supervision. Based on this theory and other related theories in regulation economic and modern management, this paper analyzes and researches the action and function of all level governments in execution of the supervisory system of building energy efficiency in government office buildings and large-scale public buildings. This paper also defines the importance of government supervision in energy-efficiency system. Finally, this paper analyzes and researches the interaction mechanism between government and owners of different type buildings, government and energy-efficiency service institution with gambling as main features. This paper also presents some measurements to achieve a common benefit community in implementation of building energy-efficiency supervisory system.

  8. Government regulation and associated innovations in building energy-efficiency supervisory systems for large-scale public buildings in a market economy

    Energy Technology Data Exchange (ETDEWEB)

    Dai, Xuezhi; Di, Yanqiang [China Academy of Building Research, Beijing 100013 (China); Wu, Yong [Ministry of Housing and Urban-Rural Development of the People' s Republic of China, Beijing 100835 (China); Li, Qiaoyan [Department of Building, School of Design and Environment, National University of Singapore (Singapore)

    2009-06-15

    The supervision of energy efficiency in government office buildings and large-scale public buildings is the main embodiment for government implementation of Public Administration in the fields of resource saving and environmental protection. Aimed at improving the current situation of lack of government administration in building energy efficiency, this paper proposes the concept of 'change and redesign of governmental supervision in building energy efficiency', repositioning the role of government supervision. Based on this theory and other related theories in regulation economic and modern management, this paper analyzes and researches the action and function of all level governments in execution of the supervisory system of building energy efficiency in government office buildings and large-scale public buildings. This paper also defines the importance of government supervision in energy-efficiency system. Finally, this paper analyzes and researches the interaction mechanism between government and owners of different type buildings, government and energy-efficiency service institution with gambling as main features. This paper also presents some measurements to achieve a common benefit community in implementation of building energy-efficiency supervisory system. (author)

  9. Supervisory Control of Extended Timed Event Graphs

    Institute of Scientific and Technical Information of China (English)

    Zhi-bing Zhuo; Wen-de Chen

    2003-01-01

    This paper describes the dynamic behavior of extended timed event graphs related to place delay in the dioid framework. By Cofer and Garg's supervisory control theory[3], we address control problems of extended timed event graphs. Supervisory control of extended timed event graphs (a class of discrete event dynamic systems) is studied in the dioid framework, a necessary and sufficient condition for the ideals of the set of firing time sequences of transitions to be controllable is presented. We prove all the strongly controllable subsets can form a complete lattice.

  10. 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.

  11. 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.

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

    Directory of Open Access Journals (Sweden)

    Cornelia MUNTEAN

    2010-01-01

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

  13. 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.

  14. 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.

  15. STUDY ON NATURAL LANGUAGE INTERFACE OF NETWORK FAULT DIAGNOSIS EXPERT SYSTEM

    Institute of Scientific and Technical Information of China (English)

    Liu Peiqi; Li Zengzhi; Zhao Yinliang

    2006-01-01

    The expert system is an important field of the artificial intelligence. The traditional interface of the expert system is the command, menu and window at present. It limits the application of the expert system and embarrasses the enthusiasm of using expert system. Combining with the study on the expert system of network fault diagnosis, the natural language interface of the expert system has been discussed in this article. This interface can understand and generate Chinese sentences. Using this interface, the user and field experts can use the expert system to diagnose the fault of network conveniently. In the article, first, the extended production rule has been proposed. Then the methods of Chinese sentence generation from conceptual graphs and the model of expert system are introduced in detail. Using this model, the network fault diagnosis expert system and its natural language interface have been developed with Prolog.

  16. Proposal for the award of a contract for the supply of a supervisory control and data acquisition system for the four LHC experiments

    CERN Document Server

    2000-01-01

    This document concerns the award of a contract for the supply of a Supervisory Control and Data Acquisition (SCADA) system for the control of the four LHC experiments. Following a market survey carried out among 63 firms in thirteen Member States and one firm in Israel, a call for tenders (IT-2814/IT) was sent on 29 May 2000 to two firms and two consortia, each consisting of two firms, in four Member States. By the closing date, CERN had received four tenders from three firms and one consortium in three Member States. The Finance Committee is invited to agree to the negotiation of a contract with ETM (AT), the lowest bidder complying with the specification, for the supply of a Supervisory Control and Data Acquisition (SCADA) system for the control of the four LHC experiments, including consultancy services and training, for a total amount of 407 500 euros (634 000 Swiss francs), not subject to revision, and 10 years? maintenance for a total amount of 308 500 euros (480 000 Swiss francs), subject to annual rev...

  17. PVEX: An expert system for producibility/value engineering

    Science.gov (United States)

    Lam, Chun S.; Moseley, Warren

    1991-01-01

    PVEX is described as an expert system that solves the problem of selection of the material and process in missile manufacturing. The producibility and the value problem has been deeply studied in the past years, and was written in dBase III and PROLOG before. A new approach is presented in that the solution is achieved by introducing hypothetical reasoning, heuristic criteria integrated with a simple hypertext system and shell programming. PVEX combines KMS with Unix scripts which graphically depicts decision trees. The decision trees convey high level qualitative problem solving knowledge to users, and a stand-alone help facility and technical documentation is available through KMS. The system developed is considerably less development costly than any other comparable expert system.

  18. An expert system application for network intrusion detection

    Energy Technology Data Exchange (ETDEWEB)

    Jackson, K.A.; Dubois, D.H.; Stallings, C.A.

    1991-01-01

    The paper describes the design of a prototype intrusion detection system for the Los Alamos National Laboratory's Integrated Computing Network (ICN). The Network Anomaly Detection and Intrusion Reporter (NADIR) differs in one respect from most intrusion detection systems. It tries to address the intrusion detection problem on a network, as opposed to a single operating system. NADIR design intent was to copy and improve the audit record review activities normally done by security auditors. We wished to replace the manual review of audit logs with a near realtime expert system. NADIR compares network activity, as summarized in user profiles, against expert rules that define network security policy, improper or suspicious network activities, and normal network and user activity. When it detects deviant (anomalous) behavior, NADIR alerts operators in near realtime, and provides tools to aid in the investigation of the anomalous event. 15 refs., 2 figs.

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

    CERN Document Server

    Hogo, Mofreh; Mousa, Fouad

    2010-01-01

    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 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 ...

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1992-12-31

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

  1. 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.

  2. 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.

  3. Designing Fuzzy Rule Based Expert System for Cyber Security

    OpenAIRE

    Goztepe, Kerim

    2016-01-01

    The state of cyber security has begun to attract more attention and interest outside the community of computer security experts. Cyber security is not a single problem, but rather a group of highly different problems involving different sets of threats. Fuzzy Rule based system for cyber security is a system consists of a rule depository and a mechanism for accessing and running the rules. The depository is usually constructed with a collection of related rule sets. The aim of this study is to...

  4. Diagnosa Gangguan Perkembangan Anak Dengan Metode Fuzzy Expert System

    Directory of Open Access Journals (Sweden)

    Diki Arisandi

    2017-05-01

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

  5. 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.

  6. A BI-RADS Based Expert Systems for the Diagnoses of Breast Diseases

    OpenAIRE

    U. K. Ngah; Aziz, S.A.; M. E. Aziz; Murad, M.; N. M.N. Mahdi

    2007-01-01

    We proposed an expert system based on the interpretation of mammographic and ultrasound images that may be used by expert and non-expert doctors in the interpretation and classifying of patient cases. The expert system software consists of a mammographic(MAMMEX) and breast ultrasound(SOUNDEX) medical expert systems which may be used to deduce cases according to the Breast Imaging Recording and Data System (BI-RADS) based upon patients history, physical and clinical assessment as well as mammo...

  7. An expert system for the diagnosis of irritable bowel syndrome.

    Science.gov (United States)

    Surdea-Blaga, Teodora; Dumitraşcu, Dan-Lucian

    2013-01-01

    For a long time functional digestive disorders (FGIDs), including irritable bowel syndrome (IBS), were described based on what they are not, without considering them real entities. Although IBS evolution is benign, it has major effects on the quality of life, it determines a higher number of days of sick leave or days when work activities had to be interrupted, thus increasing the expenses for the society. Our system, developed using CORVID Exsys, is called IBS Expert and addresses both patients and physicians. Answering some simple questions, patients will receive information about their diagnosis, together with additional recommendations. Non-expert physicians will have rapid access to the algorithm of IBS diagnosis, and could use recommendations for future investigations. This expert system is based on the information provided by the most complete collection of data about FGIDs, created by an international group of experts, who elaborated Rome III criteria. The system consists of three sub-systems, including a set of eighteen questions and the diagnosis of IBS, as well as additional recommendations, established using confidence variables. The evaluation of the system consisted of verification (determining the accuracy of the results to ensure the delivery of diagnosis and recommendations as it was intended), validation of knowledge (met through the use of the gold standard in the field) and assessment of the impact on users, either patients or physicians (measuring overall satisfaction and the user effort score in using the system). The system is available online at www.gastroterra.ro and can be accessed by using any Java-enabled device, from standard computers to mobile devices.

  8. On the development of an expert system for wheelchair selection

    Science.gov (United States)

    Madey, Gregory R.; Bhansin, Charlotte A.; Alaraini, Sulaiman A.; Nour, Mohamed A.

    1994-01-01

    The presentation of wheelchairs for the Multiple Sclerosis (MS) patients involves the examination of a number of complicated factors including ambulation status, length of diagnosis, and funding sources, to name a few. Consequently, only a few experts exist in this area. To aid medical therapists with the wheelchair selection decision, a prototype medical expert system (ES) was developed. This paper describes and discusses the steps of designing and developing the system, the experiences of the authors, and the lessons learned from working on this project. Wheelchair Advisor, programmed in CLIPS, serves as diagnosis, classification, prescription, and training tool in the MS field. Interviews, insurance letters, forms, and prototyping were used to gain knowledge regarding the wheelchair selection problem. Among the lessons learned are that evolutionary prototyping is superior to the conventional system development life-cycle (SDLC), the wheelchair selection is a good candidate for ES applications, and that ES can be applied to other similar medical subdomains.

  9. 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 .

  10. 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.

  11. THE USE OF EXPERT SYSTEMS IN RURAL TOURISM IN MARAMURES

    Directory of Open Access Journals (Sweden)

    Moisuc Diana-Aderina

    2011-12-01

    Full Text Available The existing accommodation in the rural Maramures region is essential for the development of tourism. Most accommodation units are within the typology of rural tourist hostels, therefore special attention should be paid to promote and diversify their touristic offers. Despite its attractive potential, the rural tourism in Maramures has its weaknesses because there is no organizational strategy for its deployment. Tour operators must adopt new solutions to promote tourist services, one of which may be using expert systems.The main purpose of this study is to develop a model of an expert system, applying new methodological approaches to the evaluation and ranking of countryside hostels in Maramures. This model can be easily implemented with private and public entities and could be a source of significant benefits for them. Scientific literature in the field highlights the benefits of using expert systems in all business sectors and reinforces our conviction that they can be applied extensively in tourism as well. The research methodology included: defining the nature and scope of the problem, identifying experts, acquiring knowledge, selecting the system building tools, as well as encoding and evaluating the system. In the knowledge acquisition phase we used interviews, thus obtaining a database with information on countryside hostels in Maramures. We turned to tourism professionals to establish expert rules in a way that reflects as accurately and completely as possible the context. These rules led to the encoding of the system. In order to encode them, we used the Corvid system, developed by Exsys, which was verified and validated. The system, once designed, provides a user-friendly interface. After being implemented in specialized sites, the system will be able to facilitate searching and finding information by users. We propose that the model obtained will be a starting point for further research, given that the development environment allows

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

    Science.gov (United States)

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

    1996-01-01

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

  13. Expert System Diagnosis Dental Disease Using Certainty Factor Method

    Directory of Open Access Journals (Sweden)

    Whisnu Ulinnuha Setiabudi

    2017-05-01

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

  14. Debugging expert systems using a dynamically created hypertext network

    Science.gov (United States)

    Boyle, Craig D. B.; Schuette, John F.

    1991-01-01

    The labor intensive nature of expert system writing and debugging motivated this study. The hypothesis is that a hypertext based debugging tool is easier and faster than one traditional tool, the graphical execution trace. HESDE (Hypertext Expert System Debugging Environment) uses Hypertext nodes and links to represent the objects and their relationships created during the execution of a rule based expert system. HESDE operates transparently on top of the CLIPS (C Language Integrated Production System) rule based system environment and is used during the knowledge base debugging process. During the execution process HESDE builds an execution trace. Use of facts, rules, and their values are automatically stored in a Hypertext network for each execution cycle. After the execution process, the knowledge engineer may access the Hypertext network and browse the network created. The network may be viewed in terms of rules, facts, and values. An experiment was conducted to compare HESDE with a graphical debugging environment. Subjects were given representative tasks. For speed and accuracy, in eight of the eleven tasks given to subjects, HESDE was significantly better.

  15. Low-Cost Control System Built Upon Consumer-Based Electronics For Supervisory Control Of A Gas-Operated Heat Pump

    Energy Technology Data Exchange (ETDEWEB)

    Wetherington Jr, G Randall [ORNL; Vineyard, Edward Allan [ORNL; Mahderekal, Isaac [ORNL; Abu-Heiba, Ahmad [ORNL

    2017-06-01

    A preliminary evaluation of the performance of a consumer-based control system was conducted by the Oak Ridge National Laboratory (ORNL) and Southwest Gas as part of a cooperative research and development agreement (CRADA) authorized by the Department of Energy (DOE) (Mahderekal et al. (2013). The goal of the research was to evaluate the low-cost approach as a solution for implementing a supervisory control system for a residential gas-operated heat pump. The design incorporated two consumer-based micro-controllers; the Arduino Mega-2650 and the BeagleBone (white). Ten five-ton heat pump systems were designed, fabricated, and operationally tested in the Las Vega NV region. A robust data set was produced that allowed detailed assessment of the reliability and the operational perfromance of the newly developed control system. Experiences gained from the test provided important points of improvement for subsequent evolution of the heat pump technology.

  16. Rough set based multi-agent system cooperation for industrial supervisory interface system%基于粗糙集理论的工控界面多智能体协作模式研究

    Institute of Scientific and Technical Information of China (English)

    王滔; 费敏锐; 雷电

    2006-01-01

    In this paper, rough set theory is introduced into the interface multi-agent system (MAS) for industrial supervisory system.Taking advantages of rough set in data mining, a cooperation model for MAS is built. Rules for avoiding cooperation conflict are deduced. An optimization algorithm is used to enhance security and real time attributes of the system. An application based on the proposed algorithm and rules are given.

  17. 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.

  18. A fuzzy expert system for diabetes decision support application.

    Science.gov (United States)

    Lee, Chang-Shing; Wang, Mei-Hui

    2011-02-01

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

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

    Directory of Open Access Journals (Sweden)

    KS Metaxiotis

    2000-02-01

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

  20. Expert Systems Aimed at General Design of Projectiles

    Institute of Scientific and Technical Information of China (English)

    YUAN Zhi-hua; HOU Ni-na; HU Yu-hui

    2007-01-01

    Expert systems aimed at the general design of projectiles can implement a series of intelligent designs, such as the design of HE shell, the scheme expounded and proved, the emulation analysis and calculation, etc. Aiming at the product design feature, the expert system adopts the object-oriented knowledge representation and all kinds of inference control engines to describe and reason the relevant knowledge regarding the product through the microcomputer. It embodies the foundation of emulation analysis and simulated manufacturing of the shell. It makes use of the method that knowledge expression is combined with condition of inference to carry out the overall design and emulation and reference.The paper gives the ways through which the functions can be achieved, gives the modularization of reference and the design methods of systematization, puts forward the method of knowledge expression and working interface, and supplies a platform for similar products of the shell category that can be quickly designed.

  1. Developments in REDES: The Rocket Engine Design Expert System

    Science.gov (United States)

    Davidian, Kenneth O.

    1990-01-01

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

  2. The Expert System as a Proposal for Creating Innovative Strategy

    Directory of Open Access Journals (Sweden)

    Varmus Michal

    2010-12-01

    Full Text Available The process of creating an innovation strategy is a complex one. The formulation of innovation strategy requires a more intensive calculation that makes it possible to select the optimal variant of innovation strategy for enterprises. Similarly, the creation of different innovation strategies requires the use of information technology. A place has to be allocated to hold intermediate results. Also, work with larger amounts of data and knowledge must be stored in transparent database, to avoid loss, confusion and difficulty in searching for information. This paper examines the use of an expert system as an appropriate means of meeting the requirements of creating an innovation strategy. The paper examines in detail the various modules of the proposed expert system, as well as the preconditions for a successful performance.

  3. 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.

  4. Artificial intelligence, expert systems, computer vision, and natural language processing

    Science.gov (United States)

    Gevarter, W. B.

    1984-01-01

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

  5. Artificial intelligence, expert systems, computer vision, and natural language processing

    Science.gov (United States)

    Gevarter, W. B.

    1984-01-01

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

  6. Development of an expert planning system for OSSA

    Science.gov (United States)

    Groundwater, B.; Lembeck, M. F.; Sarsfield, L.; Diaz, Alphonso

    1988-01-01

    This paper presents concepts related to preliminary work for the development of an expert planning system for NASA's Office for Space Science and Applications (OSSA). The expert system will function as a planner's decision aid in preparing mission plans encompassing sets of proposed OSSA space science initiatives. These plans in turn will be checked against budgetary and technical constraints and tested for constraint violations. Appropriate advice will be generated by the system for making modifications to the plans to bring them in line with the constraints. The OSSA Planning Expert System (OPES) has been designed to function as an integral part of the OSSA mission planning process. It will be able to suggest a best plan, be able to accept and check a user-suggested strawman plan, and should provide a quick response to user request and actions. OPES will be written in the C programming language and have a transparent user interface running under Windows 386 on a Compaq 386/20 machine. The system's sorted knowledge and inference procedures will model the expertise of human planners familiar with the OSSA planning domain. Given mission priorities and budget guidelines, the system first sets the launch dates for each mission. It will check to make sure that planetary launch windows and precursor mission relationships are not violated. Additional levels of constraints will then be considered, checking such things as the availability of a suitable launch vehicle, total mission launch mass required vs. the identified launch mass capability, and the total power required by the payload at its destination vs. the actual power available. System output will be in the form of Gantt charts, spreadsheet hardcopy, and other presentation quality materials detailing the resulting OSSA mission plan.

  7. Augmenting U.S. Army Warrant Officer Expertise with Expert Systems

    Science.gov (United States)

    1990-05-01

    making power of an expert. An expert system can be viewed as a computer-based tool I 1Lawrence K. Laswell , COLLISION: THEORY VS REALITY IN EXPERT...p.7 7 . Kupfer, Andrew. "Now, Live Experts on Flopppy Disks." FORTUNE, October 12, 1987, p. 3 5 . Laswell , Lawrence K. COLLISION: THEORY VS REALITY

  8. 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

  9. DESIGN AND IMPLEMENTATION OF A WEB-BASED SUPERVISORY CONTROL SYSTEM FOR THE COMMUNICATION NETWORK OF ELECTRIC POWER SYSTEM%基于Web的电力通信网监控系统的设计与实现

    Institute of Scientific and Technical Information of China (English)

    朱磊; 任煜; 胡均权

    2001-01-01

    The concept of the Web-based management and its superiority used in the supervisory control system in the communication network of electric power system are introduced. The functions and architecture of the Web-based supervisory control system are in detail described. In addition, the implementation approach and some technical details, including techniques of dynamic access to the database and of real-time alarming in the Web-based management system are also discussed. A WWW solution for real-time problems is presented. The practical operating results show that the Web-based supervisory control system for the communication network of electric power system can realize the real-time supervisory and control effectively and reliably.%介绍了基于Web管理的概念,以及在电力通信网监控管理系统中使用基于Web的管理模式的优越性。详细介绍了基于Web的电力通信网监控系统的系统功能及其体系结构。给出了系统实现方案,并对其中所涉及的一些技术细节进行了讨论,包括动态访问数据库的动态网页技术和基于Web的管理系统中实时告警问题的处理,提出了针对系统实时问题的WWW解决方案。实际运行表明,基于Web的电力通信网监控系统可靠、有效地实现了对现行电力载波系统的实时监控。

  10. 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.

  11. The Application of PLC' s Supervisory System in a Pressurization Station of Water Works%PLC监控系统在水厂加压站中的应用

    Institute of Scientific and Technical Information of China (English)

    冯国良

    2000-01-01

    介绍为水厂加压站研制的PLC监控系统的构成、作用和应用效果。%This paper introduces the structure, function and practi-cal application effect of a PLC' s supervisory control system used fora pressurization station of water works.

  12. 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.

  13. An Expert System-Based Site Security Officer

    OpenAIRE

    Adeniran, Olusola; Ikuomola, Ronke; Sodiya, Adesina Simon

    2007-01-01

    A Site Security Officer (SSO) who is a network security staff that responds to alarms from an Intrusion Detection System (IDS), is always faced with the critical problem of low response time when the network becomes big. Even a skilled SSO is hard-pressed and less productive when collecting and analyzing IDS output manually as the frequency of intrusion increases. In this work, an Expert System-Based SSO (ExSSO) is designed to correct this problem. The design presents an architecture that enc...

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

    Science.gov (United States)

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

    1991-01-01

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

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

    Science.gov (United States)

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

    1991-01-01

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

  16. Proposal to negotiate an amendment to an existing contract for the supply of a supervisory control and data acquisition system to be used as a standard system at CERN

    CERN Document Server

    2001-01-01

    This document concerns the proposal to negotiate an amendment to an existing contract for the supply of a Supervisory Control and Data Acquisition system. For the reasons explained in this document, the Finance Committee is invited to agree to the negotiation of an extension to the contract with ETM (AT) for licences, as well as maintenance, consultancy and training for a period of ten years, for a Supervisory Control And Data Acquisition (SCADA), to be used as a standard system at CERN, for an amount not exceeding 5 400 000 Swiss francs subject to revision, increasing the total amount of the contract from the previously approved 2 125 800 Swiss francs to 7 525 800 Swiss francs. The firm has indicated the following distribution by country of the contract value: AT - 60%; DE - 40%.

  17. A CLIPS expert system for maximizing alfalfa (Medicago Sativa L.) production

    Science.gov (United States)

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

    1990-01-01

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

  18. Expert system prototype developments for NASA-KSC business and engineering applications

    Science.gov (United States)

    Ragusa, James M.; Gonzalez, Avelino J.

    1988-01-01

    Prototype expert systems developed for a variety of NASA projects in the business/management and engineering domains are discussed. Business-related problems addressed include an assistant for simulating launch vehicle processing, a plan advisor for the acquisition of automated data processing equipment, and an expert system for the identification of customer requirements. Engineering problems treated include an expert system for detecting potential ignition sources in LOX and gaseous-oxygen transportation systems and an expert system for hazardous-gas detection.

  19. A CLIPS expert system for maximizing alfalfa (Medicago Sativa L.) production

    Science.gov (United States)

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

    1990-01-01

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

  20. Expert,Neural and Fuzzy Systems in Process Planning

    Institute of Scientific and Technical Information of China (English)

    1999-01-01

    Computer aided process planning (CAPP) aims at improving efficiency, quali t y, and productivity in a manufacturing concern through reducing lead-times and costs by utilizing better manufacturing practices thus improving competitiveness in the market. CAPP attempts to capture the thoughts and methods of the experie nced process planner. Variant systems are understandable, generative systems can plan new parts. Expert systems increase flexibility, fuzzy logic captures vague knowledge while neural networks learn. The combination of fuzzy, neural and exp ert system technologies is necessary to capture and utilize the process planning logic. A system that maintains the dependability and clarity of variant systems , is capable of planning new parts, and improves itself through learning is neede d by industry.

  1. A Decision Support System for Polyuria Patient’s Treatment Based on CLIPS Expert Systems

    Directory of Open Access Journals (Sweden)

    Hashem Hashemi

    2013-01-01

    Full Text Available An expert system is a computer application that simulates the reasoning skill andperformance of a human or an organization that has expert knowledge and experience in aspecific area. Our goal was to design an expert system which could be useful for physiciansto produce more accurate prescriptions for polyuria patients. In our paper, we first studiedthe logical rules that were needed to produce a prescription for polyuria patients andrepresented them in an antecedent/consequent model of rules that were capable of beingused in an expert system. Afterwards we used a powerful expert system tool, CLIPS, toimplement our proposed expert system and discussed parts and fundamentals of our expertsystem that were designed based on the studied rules. Since our expert system produced itsprescription based on strict medical science instructions, our goal was to make the systembe able to cooperate with physicians’ experiences on polyuria patients. Further in our paper,we used the double-blind technique to evaluate our proposed expert system and comparedits results with alternatives (physicians.

  2. Real-time expert system monitors complex air regs

    Energy Technology Data Exchange (ETDEWEB)

    Hasbach, A.

    1995-07-01

    The South Coast Air Quality Management District (SCAQMD) in southern California monitors NO{sub x} emissions in real time from a total of 60 boilers at the area`s five electric utilities. SCAQMD accomplishes this with an application developed using G2, an expert system from Gensym Corp., Cambridge, Mass., interfaced to monitoring equipment at each remote facility. In 1991, the SCAQMD board passed Rule 1135 requiring monitoring of nitrogen oxide (NO{sub x}) emissions from electric-power generating systems. The rule requires utilities to transmit boiler emissions data in near real-time to SCAQMD. Each utility had to install a continuous emission monitoring system (CEMS) to measure emissions from each boiler and a remote terminal unit (RTU) to telecommunicate emissions data to SCAQMD. The CEMS acquires data from sensing devices for each boiler. The RTU collects the data, performs calculations, and transmits formatted information to the Central Station Compliance Advisory Expert System at SCAQMD. This information includes NO{sub x} emissions, power generation, fuel usage, stack gas flow and equipment status.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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

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

    NARCIS (Netherlands)

    Dijkstra, Jacob Jan

    2006-01-01

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

  11. Applications of fuzzy sets to rule-based expert system development

    Science.gov (United States)

    Lea, Robert N.

    1989-01-01

    Problems of implementing rule-based expert systems using fuzzy sets are considered. A fuzzy logic software development shell is used that allows inclusion of both crisp and fuzzy rules in decision making and process control problems. Results are given that compare this type of expert system to a human expert in some specific applications. Advantages and disadvantages of such systems are discussed.

  12. 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.

  13. Parkinson's disease Assessment using Fuzzy Expert System and Nonlinear Dynamics

    Directory of Open Access Journals (Sweden)

    GEMAN, O.

    2013-02-01

    Full Text Available This paper proposes a new screening system for quantitative evaluation and analysis, designed for the early stage detection of Parkinson disease. This has been carried out in the view of improving the diagnosis currently established upon a basis of subjective scores. Parkinson?s disease (PD appears as a result of dopamine loss, a chemical mediator that is responsible for the body?s ability to control movements. The symptoms reflect the loss of nerve cells, due to an unknown. The input parameters of the system are represented by amplitude, frequency, the spectral characteristic and trembling localization. The main symptoms include trembling of hand, arms, movement difficulties, postural instability, disturbance of coordination and equilibrium, sleep disturbance, difficulties in speaking, reducing of voice volume. The medical knowledge in PD field is characterized by imprecision, uncertainty and vagueness. The proposed system (fuzzy expert systems is non-invasive and, easy to use by both physicians and patients at home.

  14. Nowcasting system MeteoExpert at Irkutsk airport

    Science.gov (United States)

    Bazlova, Tatiana; Bocharnikov, Nikolai; Solonin, Alexander

    2016-04-01

    Airport operations are significantly impacted by low visibility concerned with fog. Generation of accurate and timely nowcast products is a basis of early warning automated system providing information about significant weather conditions for decision-makers. Nowcasting system MeteoExpert has been developed that provides aviation forecasters with 0-6 hour nowcasts of the weather conditions including fog and low visibility. The system has been put into operation at the airport Irkutsk since August 2014. Aim is to increase an accuracy of fog forecasts, contributing to the airport safety, efficiency and capacity improvement. Designed for operational use numerical model of atmospheric boundary layer runs with a 10-minute update cycle. An important component of the system is the use of AWOS at the airdrome and three additional automatic weather stations at fogging sites in the vicinity of the airdrome. Nowcasts are visualized on a screen of forecaster's workstation and dedicated website. Nowcasts have been verified against actual observations.

  15. Expert system for evaluating the safety of pressure vessels

    Institute of Scientific and Technical Information of China (English)

    Dong Zhibo; Lu Yafeng; Wei Yanhong; Yang Yongfu; Ma Rui; Guo Ping

    2009-01-01

    With more application of welding technology in important structures more attention was paid to the evaluation of the safety of welded structures, the life prediction and decision to repair the welded structures. Based on material fiacture mechanism and Chinese standard of safety evaluations of pressure vessels, an expert system was developed to evaluate the safety of welded pressure vessels. The system can analyze the weld defects in a pressure vessel, convert different kinds of defects into equivalent cracks and obtain their equivalent sizes. Furthermore, the system can calculate the stress and strain in the positions of weld defects and make decision on whether the defects are tolerable or not according to the code. When it is tolerable, the system will calculate the safety margin. The fatigue life can be predicted if the defects undergo fatigue load too. Moreover, data bases are built for storing mechanical properties of material and evaluated results.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. SERASIM: 3-D Expert System For Greenhouse Design

    Directory of Open Access Journals (Sweden)

    Bora Şen

    2013-12-01

    Full Text Available Greenhouse construction projects need to consider local climate characteristics, production type in the greenhouse and materials used for the physical structure and glazing. A major share of commercial greenhouse manufacturers in Turkey produce turnkey greenhouse projects either using by trial and error method or imitating/reproducing greenhouse imported from other countries. Improperly designed projects may result in greenhouses having weak construction or more expensive structures due to using unnecessarily larger profiles which consequently cause a loss the profits for the growers. This study aims to contribute to the improvements and overcome the gaps in practice of greenhouse projects by designing a software for an expert system that utilizes an accurate Project considering them and mandatory buildings standards of Turkish Standardization Institute (TSE. The expert system, named SERASİM, has been developed within the framework of the present MSc. Thesis and enables calculating each part of the construction system of a gable roof glass house according to TSE standards. Besides calculations for statics, dynamics and strength as well estimating the bill of quantity, SERASİM can be utilized to determine the heating requirements and costs for selected locations and crops. SERASİM may also be used as a teaching tool for courses including greenhouse design, protected cultivation and greenhouse acclimatization.

  1. Development of an on-line monitoring expert system for heating system fouling

    Science.gov (United States)

    Wang, Yuan-yuan; Wang, Jian-guo

    2008-12-01

    This paper intends to develop an on-line monitoring expert system for heating system fouling. It chooses pressure, flowing and temperature as basic diagnostic variables. The basic evaluative guide lines are the coefficient of flowing resistance, the efficiency and cost of heating system. This system can be used to monitor the fouling degrees and estimate the fouling positions. The expert system is programmed by Delphi to realize all functions.

  2. Network Security in Remote Supervisory Control

    Institute of Scientific and Technical Information of China (English)

    黄振国

    2001-01-01

    After an introduction to the implementation of supervisory computer control (SCC) through networks and the relevant security issues, this paper centers on the core of network security design: intelligent front-end processor (FEP), encryption/decryption method and authentication protocol. Some other system-specific security measures are also proposed. Although these are examples only, the techniques discussed can also be used in and provide reference for other remote control systems.

  3. OVERSEER: An Expert System Monitor for the Psychiatric Hospital

    Science.gov (United States)

    Bronzino, Joseph D.; Morelli, Ralph A.; Goethe, John W.

    1988-01-01

    In order to improve patient care, comply with regulatory guidelines and decrease potential liability, psychiatric hospitals and clinics have been searching for computer systems to monitor the management and treatment of patients. This paper describes OVERSEER: a knowledge based system that monitors the treatment of psychiatric patients in real time. Based on procedures and protocols developed in the psychiatric setting, OVERSEER monitors the clinical database and issues alerts when standard clinical practices are not followed or when laboratory results or other clinical indicators are abnormal. Written in PROLOG, OVERSEER is designed to interface directly with the hospital's database, and, thereby utilizes all available pharmacy and laboratory data. Moreover, unlike the interactive expert systems developed for the psychiatric clinic, OVERSEER does not require extensive data entry by the clinician. Consequently, the chief benefit of OVERSEER's monitoring approach is the unobtrusive manner in which it evaluates treatment and patient responses and provides information regarding patient management.

  4. Expert systems in power substation operation and control

    Energy Technology Data Exchange (ETDEWEB)

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

    1994-12-31

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

  5. 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.

  6. Clinical evaluation of an expert system for arteriovenous fistula assessment.

    Science.gov (United States)

    Chanliau, Jacques; Charasse, Christophe; Rose, Cédric; Béné, Bernard

    2014-11-01

    The monitoring of ionic dialysance in hemodialysis allows early detection of arterio-venous fistula stenosis. One limitation to the practical use of ionic dialysance is that the analysis is very time consuming on a majority of normal cases.The purpose of the study is to evaluate the utility of an expert system reproducing a human analysis and allowing continuous monitoring of the ionic dialysance by helping the physician to focus his or her expertise on the abnormal cases.The method is based on a Bayesian model that analyzes the blood flow rate, the ionic dialysance, and the venous and arterial pressures measured on the extra corporeal circuit.The clinical evaluation was performed on 90 dialysis patients at the hospital dialysis center of Saint Brieux in France with a history of at least four consecutive months of validated recording. The retrospective automated analysis was evaluated in comparison to vascular access problems identified from invasive investigation or treatment. The sensitivity of the automated analysis is 92% with a specificity of 75%.As a conclusion we suggest that this expert system could be used in a continuous vascular access monitoring procedure consisting in a weekly review of the patient population at the dialysis center. The patients with the highest risk score need a further investigation of their historical data and their medical history in order to decide whether or not to perform an invasive intervention.

  7. [An expert system neurology--possibilities and limitations].

    Science.gov (United States)

    Bickel, A; Grunewald, M

    2006-12-01

    We present an expert system Neurology, which was developed completely on basis of the commercial available data base program Filemaker-7.0. At present it covers approximately 400 diagnoses of neurological and psychiatric diseases. After the input of cardinal symptoms, course and localisation of the disease the program calculates a first set of possible differential diagnoses and asks for additional symptoms or the performance of apparative diagnostics to investigate the final diagnose. At first, the performance of the expert system was tested with 15 predetermined neurological case reports. Users with different previous knowledge of Neurology performed the input. In this test the program was able to identify the correct diagnose in nearly all cases and the diagnostic proposals were superior to those of the users with minor neurological training. In a second test with real patient data, the rate of correct diagnoses was approximately 80%. In summary, the used computer algorithms proved as appropriate for the aim of giving Neurological diagnoses. Possible additional applications could be student training or the use as interdisciplinary reference work.

  8. 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.

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

    Science.gov (United States)

    1986-09-01

    terrain aids (e.g. SITAN - Sandia Inertial Terrain - Aided Navigation). Expert Navigator consists of two parts, a "Resource Manager" and a "Mission...pulse code modulation RENEX - Rendezvous Expert System SDI - Stragetic Defense Initiative SITAN - Sandia Inertial Terrain TAC - Tactical Air Command TI

  10. Expert operator preferences in remote manipulator control systems

    Energy Technology Data Exchange (ETDEWEB)

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

    1995-06-01

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

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

    Directory of Open Access Journals (Sweden)

    Kevin C. Tseng

    2014-01-01

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

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

    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. Analyzing the Criteria of Shopping Mall Customers via Expert System

    Directory of Open Access Journals (Sweden)

    Fatih Başçiftçi

    2016-11-01

    Full Text Available In this study, the aim is to identify the points to which people pay attention when choosing the shopping malls, and the logical functions were inspected with eight (8 variable options (in 28=256 different situations by simplification. The customer choices were evaluated via the software which was developed based on the dissertations and scientific publications of the experts. In this way, 20 rules were obtained by reducing the number via the simplification of Boolean Functions (BFs. Expert Systems (ES are the software that perform modeling and reasoning, and monitor the decision-making processes of one or more individuals on specific areas. Through the use of ES, the reason why the visitors of a target shopping mall prefer it can be understood via the database. Thanks to such researches, shopping mall customers are able to choose whichever is suitable for them. Moreover, shopping malls can analyze what type of customers they appeal to, and maintain the advertisement and brand diversity.

  14. Reliability and performance evaluation of systems containing embedded rule-based expert systems

    Science.gov (United States)

    Beaton, Robert M.; Adams, Milton B.; Harrison, James V. A.

    1989-01-01

    A method for evaluating the reliability of real-time systems containing embedded rule-based expert systems is proposed and investigated. It is a three stage technique that addresses the impact of knowledge-base uncertainties on the performance of expert systems. In the first stage, a Markov reliability model of the system is developed which identifies the key performance parameters of the expert system. In the second stage, the evaluation method is used to determine the values of the expert system's key performance parameters. The performance parameters can be evaluated directly by using a probabilistic model of uncertainties in the knowledge-base or by using sensitivity analyses. In the third and final state, the performance parameters of the expert system are combined with performance parameters for other system components and subsystems to evaluate the reliability and performance of the complete system. The evaluation method is demonstrated in the context of a simple expert system used to supervise the performances of an FDI algorithm associated with an aircraft longitudinal flight-control system.

  15. Supervisory control applied to stand-alone photovoltaic systems based on multi string topology; Controle supervisorio aplicado a sistemas fotovoltaicos autonomos com topologia multi string

    Energy Technology Data Exchange (ETDEWEB)

    Candido, Diogo Brum

    2010-07-01

    This master thesis analyses and implements a stand-alone photovoltaic system based on decentralized 'Multi String' topology. The proposed system is composed of a set of DC-DC converters linked to the PV arrays of panels, a bidirectional converter to perform the control of the charge/discharge process of the battery bank and ensure the specifications of DC link and a full-bridge inverter that feed the AC loads. Therefore, all operation modes that the stand-alone PV system can work are presented and analyzed. As the chief aim is to ensure the energy balance of the stand-alone PV system, are presented independents control loops for each converter of the PV system and a propose of a supervisory control that, based on information about the conditions of the DC link and the bank of batteries, defines each operation mode should be active, in order to maximize the power extracted from the PV arrays, the life cycle of the battery bank and ensuring the uninterrupted feeding of energy to the loads. Finally, simulation and experimental results validate the operation of the proposed system under different load and solar radiation conditions. (author)

  16. ESKAPE/CF: a knowledge acquisition tool for expert systems using cognitive feedback

    OpenAIRE

    Connor, James W.

    1991-01-01

    Approved for public release; distribution is unlimited The major bottleneck in the construction of expert systems is the time-consuming process of acquiring knowledge from experts. Automated knowledge acquisition tools have demonstrated the ability to reduce the time required to construct expert system knowledge bases and are supported by both knowledge engineers and experts. However, due to limitations in their underlying psychological paradigms, existing tools may no...

  17. A brief survey of computerized expert systems for crop protection being used in India

    Institute of Scientific and Technical Information of China (English)

    Pinaki Chakraborty; Dilip Kumar Chakrabarti

    2008-01-01

    In the recent years, a plethora of computerized expert systems has been developed for various sectors of agriculture in India. The availability of low-cost computers, agricultural knowledge and information technology professionals are the principal reasons for the development of so many agricultural expert systems. Among all agricultural expert systems, the expert systems for crop protection need special mention. These expert systems are meant to be used by farmers and other persons without much experience of using computers. Hence, special care must be taken while developing them. The current paper develops a taxonomy for the expert systems for crop protection and briefly discusses four such expert systems for crop protection being used in India.

  18. Implementation of a Distributed Expert System for Submarine Shipboard Maintenance Using VP-Expert

    Science.gov (United States)

    1990-03-01

    topics require the coordinated assesment and evaluation of knowledge from multiple human experts. Standalone knowledge bases should be loosely or tightly...RESET Is no smoking FIND Isnosmoking RESET Is ventilate FIND Is-ventilate RESET Is-none FIND Is none DISPLAY" 53 Press any key to continue...-" CLS...THEN Is no smoking = is DISPLAY " - Explosive atmosphere/unsafe gasses in environment: Ensure the smoking lamp is out in vicinity of (VPlocation

  19. Construction of Powerful Online Search Expert System Based on Semantic Web

    Directory of Open Access Journals (Sweden)

    Yasser A. Nada

    2013-01-01

    Full Text Available In this paper we intends to build an expert system based on semantic web for online search using XML, to help users to find the desired software, and read about its features and specifications. The expert system saves user's time and effort of web searching or buying software from available libraries. Building online search expert system is ideal for capturing support knowledge to produce interactive on-line systems that provide searching details, situation-specific advice exactly like setting a session with an expert. Any person can access this interactive system from his web browser and get some questions answer in addition to precise advice which was provided by an expert. The system can provide some troubleshooting diagnose, find the right products; … Etc. The proposed system further combines aspects of three research topics (Semantic Web, Expert System and XML. Semantic web Ontology will be considered as a set of directed graphs where each node represents an item and the edges denote a term which is related to another term. Organizations can now optimize their most valuable expert knowledge through powerful interactive Web-enabled knowledge automation expert system. Online sessions emulate a conversation with a human expert asking focused questions and producing customized recommendations and advice. Hence, the main powerful point of the proposed expert system is that the skills of any domain expert will be available to everyone.

  20. RESEARCH ON EXPERT SYSTEM OF FAULT DETECTION AND DIAGNOSING FOR PNEUMATIC SYSTEM OF AUTOMATIC PRODUCTION LINE

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Fault detection and diagnosis for pneumatic system of automatic production line are studied. An expert system using fuzzy-neural network and pneumatic circuit fault diagnosis instrument are designed. The mathematical model of various pneumatic faults and experimental device are built. In the end, some experiments are done, which shows that the expert system using fuzzy-neural network can diagnose fast and truly fault of pneumatic circuit.

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

    Science.gov (United States)

    1988-03-01

    expert support system which would be aplIcable to the United States Marine Corps (USMC) environment, data was required which historically depicted...minicomputer using the DATE data field - with an SPSS -X utility randomization function [Ref. 511. These segments are displayed in Appendix D. The HEMOS

  2. 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.

  3. Expert System for Quality Assessment in "Tibiscus" University

    Directory of Open Access Journals (Sweden)

    Catalin Tuican

    2008-01-01

    Full Text Available The periodical evaluation of the teaching staff in „Tibiscus” University bases on the specifications of The Romanian Agency for Quality Assurance in Higher Education (Agenţia Română de Asigurare a Calităţii în Învăţământul Superior, ARACIS namely : „The quality of the teaching and researching staff The universities must dispose of teaching staff which, as number and functional base, must be correctly allocated to the total number of students, depending on the study domain, and regarding the qualifications it must depend on the specific of the study program and the proposed quality objectives.” This paper presents the implementation of an expert system, offering to the students the possibility to perform the evaluation in a modern way and to the evaluation committee a quick access to all necessary data.

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

    Directory of Open Access Journals (Sweden)

    Игорь Леонидович Братчиков

    2012-06-01

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

  5. 电动汽车充电设施监控系统设计与实现%Design and Implementation of a Supervisory and Control System for Charging Facilities of Electric Vehicles

    Institute of Scientific and Technical Information of China (English)

    赵明宇; 王刚; 汪映辉; 孙广明

    2011-01-01

    The features of charging facilities for electric vehicles are described. The functional requirements of each part of the supervisory and control system are determined by a system demands analysis and system design thoughts are then proposed. According to the classification and abstract of the function service, a design scheme with layered architecture is provided. The supervisory and control system is divided into four layers, namely, the system platform layer, the support service layer, the service layer and the application layer. Three communication network configuration modes for the supervisory and control of charging facilities in the major application environments are proposed. Realization of each layer of the cross-platform supervisory and control system software is given. Field monitoring results show that the system is satisfactory.%介绍了电动汽车充电设施监控的特点,通过系统需求分析确定了监控系统各部分的功能要求,进而提出了系统设计思路;根据功能服务分类与抽象提出了系统分层体系架构设计方案,把监控系统分为系统平台层、支撑服务层、公共服务层以及应用层4层;提出了3种主要应用环境下充电设施监控的通信组网方式;给出了跨平台监控系统软件各个分层的具体实现.

  6. Supervisory Control: Problems, Theory and Experiment for Application to Human-Computer Interaction in Undersea Remote Systems

    Science.gov (United States)

    1982-03-01

    very difficult for human workers . For example, if a known mix of products is coming down the assembly line in a known order, the computer can then treat...each product according to its appropriate (different) program without any forgetting or confusion. A human worker would become very confused. In...An operator who formerly found his dignity in being an expert at some marn.a] or visual skill may may become " deskilled ". He may become a supervisor

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1997-09-01

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

  8. 基于Modbus通信智能楼宇监控系统设计%The Development of Intelligence Building Supervisory System Based on Modbus Correspondence

    Institute of Scientific and Technical Information of China (English)

    徐宇明

    2015-01-01

    This paper describes the design of supervisory and control system for elevator and the power supply and the illumi-nation. Based on object-oriented idea, the intelligence control system for elevator and the power supply and the illumination is designed and realized by applying Modbus communication protocol of the RTU and N80 rectangular PLC , Thus,a new solution with lower cost and higher efficiency is proposed for control system for intelligence building equipments and other intelligence devices.%阐述了一种电梯和供电及照明的智能楼宇监控系统设计。采用面向对象的设计思想,利用Modbus RTU通信协议和N80矩形PLC对电梯和供电及照明的智能控制系统进行设计与实现的方法,为低成本高效率实现智能楼宇设备及其它智能设备控制系统的设计提出了新方案。

  9. 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.

  10. 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

  11. Conception of a prototype to validate a maintenance expert system

    Directory of Open Access Journals (Sweden)

    Filippo De Carlo

    2013-10-01

    Full Text Available Decision making is crucial for the life of many production plants. Good decision need the right information at the right time, and a deep knowledge of the system. This is especially true for older plants that are more prone to failures. Unfortunately, these systems are less rich of monitoring and diagnostics instrumentation, because of their seniority. When the maintenance service is carried out by a group of external companies, they suffer the consequences of backwardness of the equipment, having to deal with problems of poor coordination, delays in interventions and so on. Small and medium enterprises are often in trouble facing these issues so they need dedicated resources in order to offer a maintenance service compliant to the costumer requirements. In this context a research project was funded, aiming at aiding the birth of a virtual enterprise network of maintainers, which should provide a maintenance service of the highest level in the field of legacy industrial plants. One of the most difficult steps of the project, was to design a prototype capable of testing the architecture of the virtual network, the expert system and the overall goodness of the proposal for potential customers. In this paper we describe how it was possible to design, produce and operate a prototype which could fit a virtual enterprise network of maintainers. The method requires, among other things, to fulfil a preliminary selective Failure Modes and Effects Criticality Analysis (FMECA to be properly used to implement the diagnostic system.

  12. SSME component assembly and life management expert system

    Science.gov (United States)

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

    1989-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Nizar Markiz

    2016-01-01

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

  14. An Expert System For Multispectral Threat Assessment And Response

    Science.gov (United States)

    Steinberg, Alan N.

    1987-05-01

    A concept has been defined for an automatic system to manage the self-defense of a combat aircraft. Distinctive new features of this concept include: a. the flexible prioritization of tasks and coordinated use of sensor, countermeasures, flight systems and weapons assets by means of an automated planning function; b. the integration of state-of-the-art data fusion algorithms with event prediction processing; c. the use of advanced Artificial Intelligence tools to emulate the decision processes of tactical EW experts. Threat Assessment functions (a) estimate threat identity, lethality and intent on the basis of multi-spectral sensor data, and (b) predict the time to critical events in threat engagements (e.g., target acquisition, tracking, weapon launch, impact). Response Management functions (a) select candidate responses to reported threat situations; (b) estimate the effects of candidate actions on survival; and (c) coordinate the assignment of sensors, weapons and countermeasures with the flight plan. The system employs Finite State Models to represent current engagements and to predict subsequent events. Each state in a model is associated with a set of observable features, allowing interpretation of sensor data and adaptive use of sensor assets. Defined conditions on state transitions allow prediction of times to critical future states and are used in planning self-defensive responses, which are designed either to impede a particular state transition or to force a transition to a lower threat state.

  15. Advanced Launch System (ALS) Space Transportation Expert System Study

    Science.gov (United States)

    1991-03-01

    CONTROL ELECTRONICS DEVELOPMENT ENGR CONTROL SYSTEMS DEVELOPMENT BRANCH DAVID K. BOWSER ASST CHIEF FLIGHT CONTROL DIVISION IF YOUR ADDRESS HAS CHANGED...Routers) to Processed Facts ato Conclusions. high& -- %sm memcry) omands . lee requestslevel KNOWLEDGE-BASE SYSTEMS Internal World (Layered Structure) kw...Kaiser, Gail E. and David Garlan ttl: MELDIng Data Flow and Object Oriented Programming - OPSLA 󈨛 Proceedings, October 1987 -eoories: Object Oriented

  16. Expert system supporting an early prediction of the bronchopulmonary dysplasia.

    Science.gov (United States)

    Ochab, Marcin; Wajs, Wiesław

    2016-02-01

    This work presents a decision support system which uses machine learning to support early prediction of bronchopulmonary dysplasia (BPD) for extremely premature infants after their first week of life. For that purpose a knowledge database was created based on the historical data gathered including data on 109 patients with birth weight less than or equal to 1500g. The core of the database consists of support vector machine and logit regression classification results calculated specifically for that system, and obtained by considering 2(14) different combinations of 14 risk factors. Based on the results obtained and user demands, the system recommends the best methods and the most suitable parameter subset among those currently available to the user. The program is also able to estimate the accuracy, sensitivity and specificity together with their standard deviations. The user is also given information on which additional parameter it is worth adding to his measurement system most and what an increase in prediction efficiency it is expected to trigger. The BPD can be predicted by the system with the accuracy reaching up to 83.25% in the best-case scenario, i.e. higher than for most of the models presented in the literature. This work presents a set of examples illustrating the difficulties in obtaining one single model that can be widely used, and thus explaining why an expert system approach is much more useful in day-to-day clinical practice. In addition, the work discusses the significance of the parameters used and the impact of a chosen method on the sensitivity and specificity. Copyright © 2015 Elsevier Ltd. All rights reserved.

  17. A neural network architecture for implementation of expert systems for real time monitoring

    Science.gov (United States)

    Ramamoorthy, P. A.

    1991-01-01

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

  18. An expert system for selecting wart treatment method.

    Science.gov (United States)

    Khozeimeh, Fahime; Alizadehsani, Roohallah; Roshanzamir, Mohamad; Khosravi, Abbas; Layegh, Pouran; Nahavandi, Saeid

    2017-02-01

    As benign tumors, warts are made through the mediation of Human Papillomavirus (HPV) and may grow on all parts of body, especially hands and feet. There are several treatment methods for this illness. However, none of them can heal all patients. Consequently, physicians are looking for more effective and customized treatments for each patient. They are endeavoring to discover which treatments have better impacts on a particular patient. The aim of this study is to identify the appropriate treatment for two common types of warts (plantar and common) and to predict the responses of two of the best methods (immunotherapy and cryotherapy) to the treatment. As an original work, the study was conducted on 180 patients, with plantar and common warts, who had referred to the dermatology clinic of Ghaem Hospital, Mashhad, Iran. In this study, 90 patients were treated by cryotherapy method with liquid nitrogen and 90 patients with immunotherapy method. The selection of the treatment method was made randomly. A fuzzy logic rule-based system was proposed and implemented to predict the responses to the treatment method. It was observed that the prediction accuracy of immunotherapy and cryotherapy methods was 83.33% and 80.7%, respectively. According to the results obtained, the benefits of this expert system are multifold: assisting physicians in selecting the best treatment method, saving time for patients, reducing the treatment cost, and improving the quality of treatment. Copyright © 2017 Elsevier Ltd. All rights reserved.

  19. Expert System for Building TRU Waste Payloads - 13554

    Energy Technology Data Exchange (ETDEWEB)

    Bruemmer, Heather; Slater, Bryant [Information Systems Laboratories, 2235 East 25th Street, Suite 100, Idaho Falls, ID 83404 (United States)

    2013-07-01

    The process for grouping TRU waste drums into payloads for shipment to the Waste Isolation Pilot Plant (WIPP) for disposal is a very complex process. Transportation and regulatory requirements must be met, along with striving for the goals of shipment efficiency: maximize the number of waste drums in a shipment and minimize the use of empty drums which take up precious underground storage space. The restrictions on payloads range from weight restrictions, to limitations on flammable gas in the headspace, to minimum TRU alpha activity concentration requirements. The Overpack and Payload Assistant Tool (OPAT) has been developed as a mixed-initiative intelligent system within the WIPP Waste Data System (WDS) to guide the construction of multiple acceptable payloads. OPAT saves the user time while at the same time maximizes the efficiency of shipments for the given drum population. The tool provides the user with the flexibility to tune critical factors that guide OPAT's operation based on real-time feedback concerning the results of the execution. This feedback complements the user's external knowledge of the drum population (such as location of drums, known challenges, internal shipment goals). This work demonstrates how software can be utilized to complement the unique domain knowledge of the users. The mixed-initiative approach combines the insight and intuition of the human expert with the proficiency of automated computational algorithms. The result is the ability to thoroughly and efficiently explore the search space of possible solutions and derive the best waste management decision. (authors)

  20. ROSES, a robot operating system expert scheduler: Methodological framework

    Energy Technology Data Exchange (ETDEWEB)

    Halbert, E.C.; Barhen, J.; Chen, P.C.

    1990-08-01

    The optimal scheduling of tasks among which complex interrelationships (such as precedence constraints) may exist is essential for driving the new generation of concurrent supercomputers to their utmost performance. To address this need, the project ROSES (Robot Operating System Expert Scheduler) has been initiated at the Oak Ridge National Laboratory's Center for Engineering Systems Advanced Research. The project, its method for optimizing schedules, and its implementing computer code are each called ROSES. The problem of finding optimum schedules is explosive in complexity (i.e., NP-complete). By combining heuristic techniques, graph-theoretic algorithms, and sophisticated data structures, ROSES achieves near-optimal solutions in a highly efficient manner both with respect to computer time and memory-space. In this report, the description of the methodology is followed by an overview of the ROSES computer code, including detailed outlines of selected algorithms. In addition, this report describes an application of ROSES to schedule inverse dynamics computations for a robot manipulator. 45 refs., 9 tabs.

  1. Connectionist Expert System to Diagnose Neck and Arm Pain

    Directory of Open Access Journals (Sweden)

    S. Thamarai Selvi

    1999-07-01

    Full Text Available A connectionist expert system (CES called BIONET aimed at assisting physicians in the diagnosis of diseases, such as neck and arm pain has been proposed. BIONET is an artificial network or connectionist network model capable of classifying diseases. Need for the development of CES for defence personnel has been discussed: BIONET is a feedforward three layer neural network with one hidden layer. The input, layer has been designated as stimulus layer, the hidden layer as receptor layer and output layer ag cortical layer. The sequential connections with spatial orientation have been maintained between stimulus layer and receptor layer for each specific factor. Parallel connections are established only at the cortical layer. Direct firing and facilitatory and inhibitory mechanisms are adhered to the neurophysiology of human nervous system. An algorithm for training on BIONET is also given. BIONET is simulated on a digital computer with training samples of patients collected from various hospitals in Tamil Nadu to diagnose neck and arm pain,diseases for testing purpose.

  2. Shifts in Competences between Member States and the EU in the New Supervisory System for Credit Institutions and their Consequences for Judicial Protection

    Directory of Open Access Journals (Sweden)

    Laura Wissink

    2014-12-01

    Full Text Available The Single Supervisory Mechanism (SSM is a striking example of the tendency within the EU to transfer decisive, regulatory and enforcement powers to the EU level. The SSM involves a complex system of mixed administration in order to ensure effective banking supervision within the Eurozone. Whereas such mixed administration might be necessary in order to achieve effective cross-border supervision, it also creates legal uncertainties due to the different legal orders involved. In this paper, the effect of the mixed administration on formal and substantive judicial protection is discussed.The paper analyses the right of access to the courts in the case of common procedures and certain ECB decisions. Furthermore, it is examined whether the ECB and national competent authorities have adequate powers to carry out supervision within the SSM. Lastly, the paper pursues the issues with regard to substantive judicial protection in greater depth, in particular the right of respect for the home and the rights of defence.

  3. Shifts in Competences between Member States and the EU in the New Supervisory System for Credit Institutions and their Consequences for Judicial Protection

    Directory of Open Access Journals (Sweden)

    Laura Wissink

    2014-12-01

    Full Text Available The Single Supervisory Mechanism (SSM is a striking example of the tendency within the EU to transfer decisive, regulatory and enforcement powers to the EU level. The SSM involves a complex system of mixed administration in order to ensure effective banking supervision within the Eurozone. Whereas such mixed administration might be necessary in order to achieve effective cross-border supervision, it also creates legal uncertainties due to the different legal orders involved. In this paper, the effect of the mixed administration on formal and substantive judicial protection is discussed.The paper analyses the right of access to the courts in the case of common procedures and certain ECB decisions. Furthermore, it is examined whether the ECB and national competent authorities have adequate powers to carry out supervision within the SSM. Lastly, the paper pursues the issues with regard to substantive judicial protection in greater depth, in particular the right of respect for the home and the rights of defence.

  4. An Application Of Optimization Based Expert System: Analysis Of Financial Ratios

    Science.gov (United States)

    Narasimhamurthi, N.; Dechen, R.

    1988-03-01

    This paper describes an application of rule-based expert system to the financial analysis of companies. The system was implemented on the Opine/Rubex system which uses ideas from optimization theory to drawing inferences. The paper provides a description of the expert system and the nature of the rule base. Typical analysis of two corporations is also presented.

  5. 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.

  6. The Relationship of Supervisory Experience, Counseling Experience, and Training in Supervision to Supervisory Identity Development

    Science.gov (United States)

    Pelling, Nadine

    2008-01-01

    The relationship between supervisory identity development and supervisory experience, counseling experience, and training in supervision was examined for Association for Counselor Education and Supervision (ACES) members. Analyses indicated that supervisory experience and training were related to supervisory identity development, whilst counseling…

  7. 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.

  8. 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.

  9. Bayesian Islamic medication expert system (B-IMES)

    Science.gov (United States)

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

    2015-12-01

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

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

    Directory of Open Access Journals (Sweden)

    Ameneh Khadivar

    2014-12-01

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

  11. Computer-Aided Decisions in Human Services: Expert Systems and Multivariate Models.

    Science.gov (United States)

    Sicoly, Fiore

    1989-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2001-06-30

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

  13. 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.

  14. Expert system classifier for adaptive radiation therapy in prostate cancer.

    Science.gov (United States)

    Guidi, Gabriele; Maffei, Nicola; Vecchi, Claudio; Gottardi, Giovanni; Ciarmatori, Alberto; Mistretta, Grazia Maria; Mazzeo, Ercole; Giacobazzi, Patrizia; Lohr, Frank; Costi, Tiziana

    2017-06-01

    A classifier-based expert system was developed to compare delivered and planned radiation therapy in prostate cancer patients. Its aim is to automatically identify patients that can benefit from an adaptive treatment strategy. The study predominantly addresses dosimetric uncertainties and critical issues caused by motion of hollow organs. 1200 MVCT images of 38 prostate adenocarcinoma cases were analyzed. An automatic daily re-contouring of structures (i.e. rectum, bladder and femoral heads), rigid/deformable registration and dose warping was carried out to simulate dose and volume variations during therapy. Support vector machine, K-means clustering algorithms and similarity index analysis were used to create an unsupervised predictive tool to detect incorrect setup and/or morphological changes as a consequence of inadequate patient preparation due to stochastic physiological changes, supporting clinical decision-making. After training on a dataset that was considered sufficiently dosimetrically stable, the system identified two equally sized macro clusters with distinctly different volumetric and dosimetric baseline properties and defined thresholds for these two clusters. Application to the test cohort resulted in 25% of the patients located outside the two macro clusters thresholds and which were therefore suspected to be dosimetrically unstable. In these patients, over the treatment course, mean volumetric changes of 30 and 40% for rectum and bladder were detected which possibly represents values justifying adjustment of patient preparation, frequent re-planning or a plan-of-the-day strategy. Based on our research, by combining daily IGRT images with rigid/deformable registration and dose warping, it is possible to apply a machine learning approach to the clinical setting obtaining useful information for a decision regarding an individualized adaptive strategy. Especially for treatments influenced by the movement of hollow organs, this could reduce inadequate

  15. Machine Learning and Software Quality Prediction: As an Expert System

    Directory of Open Access Journals (Sweden)

    Ekbal A. Rashid

    2014-04-01

    Full Text Available To improve the software quality the number of errors from the software must be removed. The research paper presents a study towards machine learning and software quality prediction as an expert system. The purpose of this paper is to apply the machine learning approaches, such as case-based reasoning, to predict software quality. The main objective of this research is to minimize software costs. Predict the error in software module correctly and use the results in future estimation. The novel idea behind this system is that Knowledge base (KBS building is an important task in CBR and the knowledge base can be built based on world new problems along with world new solutions. Second, reducing the maintenance cost by removing the duplicate record set from the KBS. Third, error prediction with the help of similarity functions. In this research four similarity functions have been used and these are Euclidean, Manhattan, Canberra, and Exponential. We feel that case-based models are particularly useful when it is difficult to define actual rules about a problem domain. For this purpose we have developed a case-based reasoning model and have validated it upon student data. It was observed that, Euclidean and Exponential both are good for error calculation in comparison to Manhattan and Canberra after performing five experiments. In order to obtain a result we have used indigenous tool. For finding the mean and standard deviation, SPSS version 16 and for generating graphs MATLAB 7.10.0 version have been used as an analyzing tool.

  16. 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.

  17. Scale Transformations and Information Presentation in Supervisory Control

    DEFF Research Database (Denmark)

    Petersen, Johannes; May, Michael

    2006-01-01

    It is commonly accepted that designers of supervisory control systems cannot comprehensively anticipate operators' information needs. In order to compensate the lack between the information presented by the Supervisory control system and the information needed, operators tailor the information...... types proposed by Stevens. The scale type of data is determined by how values are assigned to the dimensions of the system being supervised and each scale type specifies a set of operations that can be legitimately applied to data oil this scale type. Based on the concept of scale transformation...

  18. 一类非线性系统的监督控制%Supervisory Control of a Class of Nonlinear System

    Institute of Scientific and Technical Information of China (English)

    范子彦; 韩正之

    2001-01-01

    在监督控制方案下实现了一类非线性系统的输出调节,过程是全局Lipschitz的严格反馈形系统,含有不确定的定常参数.假设参数属于一个已知的、由有限个元素组成的集合,控制方案可分成控制器组和监督器两部分.根据参数的先验知识,用反传方法设计确定性等价的控制器,组成候选控制器组.监督器对参数进行在线辨识,实现控制器之间的切换,最终将过程的输出调节到零.%The paper implemented the output regulation of a class of nonlinear systems under a supervisory control scheme. The process is a strict-feedback structure system with uncertain constant parameters. Assume that the parameters belong to a known set that consists of finite number of elementes. The control scheme can be separated into two parts, a supervisor and a group of controllers. By virtue of the prior knowledge about the parameters, this paper designs certainty equivalent controllers using the backstepping technique, which compose the group of controllers. The supervisor identifies the parameters of process in real time to choose the controller that will be switched into the feedback loop. At the end, it is proved that the output of process is regulated to zero.

  19. 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.

  20. Supervisory Workbook on Behavior Modification.

    Science.gov (United States)

    Arkin, Ronald; And Others

    This workbook is designed to be used with the trainer's manual in supervisory training sessions on behavior modification of employees. This is one of four manuals prepared to aid supervisors in training disadvantaged groups using social reinforcement techniques. Related documents are available as VT 018 031-VT 018 035 in this issue. (MF)

  1. 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.

  2. The use of expert systems on the differential diagnosis of urinary incontinence.

    Science.gov (United States)

    Lopes, Maria Helena Baena de Moraes; Marin, Heimar de Fátima; Ortega, Neli Regina Siqueira

    2009-09-01

    The differential diagnosis of urinary incontinence classes is sometimes difficult to establish. As a rule, only the results of urodynamic testing allow an accurate diagnosis. However, this exam is not always feasible, because it requires special equipment, and also trained personnel to lead and interpret the exam. Some expert systems have been developed to assist health professionals in this field. Therefore, the aims of this paper are to present the definition of Artificial Intelligence; to explain what expert system and system for decision support are and its application in the field of health and to discuss some expert systems for differential diagnosis of urinary incontinence. It is concluded that expert systems may be useful not only for teaching purposes, but also as decision support in daily clinical practice. Despite this, for several reasons, health professionals usually hesitate to use the computer expert system to support their decision making process.

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

    Science.gov (United States)

    Settle, Frank A., Jr.

    1987-01-01

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

  4. A Fuzzy Logic Based Supervisory Hierarchical Control Scheme for Real Time Pressure Control

    Institute of Scientific and Technical Information of China (English)

    N.Kanagaraj; P.Sivashanmugam; S.Paramasivam

    2009-01-01

    This paper describes a supervisory hierarchical fuzzy controller (SHFC) for regulating pressure in a real-time pilot pressure control system.The input scaling factor tuning of a direct expert controller is made using the error and process input parameters in a closed loop system in order to obtain better controller performance for set-point change and load disturbances.This on-line tuning method reduces operator involvement and enhances the controller performance to a wide operating range.The hierarchical control scheme consists of an intelligent upper level supervisory fuzzy controller and a lower level direct fuzzy controller.The upper level controller provides a mechanism to the main goal of the system and the lower level controller delivers the solutions to a particular situation. The control algorithm for the proposed scheme has been developed and tested using an ARM7 microcontroller-based embedded target board for a nonlinear pressure process having dead time.To demonstrate the effectiveness,the results of the proposed hierarchical controller,fuzzy controller and conventional proportional-integral (PI) controller are analyzed.The results prove that the SHFC performance is better in terms of stability and robustness than the conventional control methods.

  5. A CLIPS-based expert system for the evaluation and selection of robots

    Science.gov (United States)

    Nour, Mohamed A.; Offodile, Felix O.; Madey, Gregory R.

    1994-01-01

    This paper describes the development of a prototype expert system for intelligent selection of robots for manufacturing operations. The paper first develops a comprehensive, three-stage process to model the robot selection problem. The decisions involved in this model easily lend themselves to an expert system application. A rule-based system, based on the selection model, is developed using the CLIPS expert system shell. Data about actual robots is used to test the performance of the prototype system. Further extensions to the rule-based system for data handling and interfacing capabilities are suggested.

  6. Supervisory control for hybrid systems of electrical generation based on fuzzy logic; Control supervisorio para sistemas hibridos de generacion electrica basado en logica difusa

    Energy Technology Data Exchange (ETDEWEB)

    Lagunas M, Javier; Ortega S, Cesar [Instituto de Investigaciones Electricas, Cuernavaca, Morelos (Mexico); Caratozzolo M, Patricia [Instituto Tecnologico de Estudios Superiores de Monterrey, campus Cd. de Mexico (Mexico)

    2005-07-01

    The development and integration of hybrid systems of electrical generation (SHGE) of small capacity: The intention of these developments is its implementation in isolated or far away communities from conventional electric networks, that contribute in the own productive processes of these towns. As part of these work a system of control for their hybrid system wind-photovoltaic- internal combustion machine was developed that operates nowadays in a system installed in Pachuca, Hidalgo, Mexico. However, in the two past years, the GENC has worked, altogether with the Management of Control and Instrumentation of the Instituto de Investigaciones Electricas (IIE) and the Centro Nacional de Investigacion y Desarrollo Tecnologico (CENIDET) (National Center of Research and Technological Development), to incorporate an intelligent control technique in the regulation of the hybrid systems of wind-photovoltaic-machine of internal combustion type. Lemos de Pereira rises that the main problems of the present technology of the SHGE are related to the control and supervision of the power systems. The system that is in charge of the actions of load control and dispatch is denominated supervisory control. This controller supervises the operation of all the components, regulates the entry or exiting of operation of the generation systems, as well as the loads. [Spanish] El desarrollo e integracion de sistemas hibridos de generacion electrica (SHGE) de pequena capacidad. El proposito de estos desarrollos es su implementacion en comunidades aisladas o alejadas de la red electrica convencional, las cuales contribuyan en los procesos productivos propios de estos poblados. Como parte de dichos trabajos se desarrollo un sistema de control para su sistema hibrido eolico-fotovoltaico-maquina de combustion interna que opera actualmente en un sistema instalado en Pachuca, Hidalgo, Mexico. Ahora bien, en los dos ultimos anos, la GENC ha trabajado, en conjunto con la Gerencia de Control e

  7. An expert system for the quantification of fault rates in construction fall accidents.

    Science.gov (United States)

    Talat Birgonul, M; Dikmen, Irem; Budayan, Cenk; Demirel, Tuncay

    2016-01-01

    Expert witness reports, prepared with the aim of quantifying fault rates among parties, play an important role in a court's final decision. However, conflicting fault rates assigned by different expert witness boards lead to iterative objections raised by the related parties. This unfavorable situation mainly originates due to the subjectivity of expert judgments and unavailability of objective information about the causes of accidents. As a solution to this shortcoming, an expert system based on a rule-based system was developed for the quantification of fault rates in construction fall accidents. The aim of developing DsSafe is decreasing the subjectivity inherent in expert witness reports. Eighty-four inspection reports prepared by the official and authorized inspectors were examined and root causes of construction fall accidents in Turkey were identified. Using this information, an evaluation form was designed and submitted to the experts. Experts were asked to evaluate the importance level of the factors that govern fall accidents and determine the fault rates under different scenarios. Based on expert judgments, a rule-based expert system was developed. The accuracy and reliability of DsSafe were tested with real data as obtained from finalized court cases. DsSafe gives satisfactory results.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1997-11-01

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

  9. Research and Application of Expert System Skeleton for Controlling Sintering Process

    Institute of Scientific and Technical Information of China (English)

    LONG Hong-ming; FAN Xiao-hui; JIANG Tao; DAI Lin-qing

    2008-01-01

    An expert system skeleton tool of sintering process was constructed using object-oriented method,which can actualize two functions,I.e.,the shell function and the program function.The skeleton tool offered a platform to build a prototype system,to program class code,and to develop the expert system.Four branch expert systems were developed using the skeleton tool including the control of chemical composition,the control of sintering process state,the control of expended energy,and the diagnosis of abnormity.It is found that the performance of all systems is satisfactory in practice.

  10. An expert system for national economy model simulations

    Directory of Open Access Journals (Sweden)

    Roljić Lazo

    2002-01-01

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

  11. An engineering study and concept design of the Supervisory Control and Data Acquisition (SCADA) for conventional systems

    Energy Technology Data Exchange (ETDEWEB)

    Norman, L.S.

    1993-05-01

    The study objective was to evaluate several conventional equipment SCADA system architectural concepts and to recommend an approach for development. Each of the concepts given consideration had to satisfy the Superconducting Super Collider (SSC) conventional equipment SCADA application requirements and the evaluation process determined which approach represented the best technical and most cost effective solution to the system requirements. Based on the results of the concept evaluation process, a personal computer based approach was recommended for the SSC conventional equipment SCADA application. Block diagrams and budgetary cost estimate for this approach were developed with specific recommendations with respect to the conventional equipment SCADA system architecture and development process.

  12. Expert Seeker: A People-Finder Knowledge Management System

    Science.gov (United States)

    Becerra-Fernandez, Irma

    2000-01-01

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

  13. Java Expert GUI framework for CERN beam instrumentation systems

    CERN Document Server

    Bart Pedersen, S; Jackson, S

    2011-01-01

    The CERN Beam Instrumentation Group’s software section has recently performed a study of the tools used to produce Java expert GUI applications. This paper will present the analysis that was made to understand the requirements for generic components and the resulting tools including a collection of Java components that have been made available for a wider audience. The paper will also discuss the prospect of using Maven as the deployment tool with its implications for developers and users.

  14. The CBT Advisor: An Expert System Program for Making Decisions about CBT.

    Science.gov (United States)

    Kearsley, Greg

    1985-01-01

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

  15. Expert system development methodology and the transition from prototyping to operations - Fiesta, a case study

    Science.gov (United States)

    Happell, Nadine; Miksell, Steve; Carlisle, Candace

    1989-01-01

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

  16. Expert system development methodology and the transition from prototyping to operations: FIESTA, a case study

    Science.gov (United States)

    Happell, Nadine; Miksell, Steve; Carlisle, Candace

    1989-01-01

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

  17. Fuzzy logic based expert system for the treatment of mobile tooth.

    Science.gov (United States)

    Mago, Vijay Kumar; Mago, Anjali; Sharma, Poonam; Mago, Jagmohan

    2011-01-01

    The aim of this research work is to design an expert system to assist dentist in treating the mobile tooth. There is lack of consistency among dentists in choosing the treatment plan. Moreover, there is no expert system currently available to verify and support such decision making in dentistry. A Fuzzy Logic based expert system has been designed to accept imprecise and vague values of dental sign-symptoms related to mobile tooth and the system suggests treatment plan(s). The comparison of predictions made by the system with those of the dentist is conducted. Chi-square Test of homogeneity is conducted and it is found that the system is capable of predicting accurate results. With this system, dentist feels more confident while planning the treatment of mobile tooth as he can verify his decision with the expert system. The authors also argue that Fuzzy Logic provides an appropriate mechanism to handle imprecise values of dental domain.

  18. A Prototype Expert System for Automatic Generation of Image Processing Programs

    Institute of Scientific and Technical Information of China (English)

    宋茂强; FelixGrimm; 等

    1991-01-01

    A prototype expert system for generating image processing programs using the subroutine package SPIDER is described in this paper.Based on an interactive dialog,the system can generate a complete application program using SPIDER routines.

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

    Directory of Open Access Journals (Sweden)

    Nevzat Alkan

    1998-12-01

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

  20. Developing and using expert systems and neural networks in medicine: a review on benefits and challenges.

    Science.gov (United States)

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

    2014-09-01

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

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

    DEFF Research Database (Denmark)

    Waagepetersen, Rasmus

    2010-01-01

    This paper presents an efficient method for extracting expert knowledge when building a credit risk rating system. Experts are asked to rate a sample of counterparty cases according to creditworthiness. Next, a statistical model is used to capture the relation between the characteristics...

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

    DEFF Research Database (Denmark)

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

    2015-01-01

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

  3. Adaptation and validation of the REGEN expert system for the Central Appalachians

    Science.gov (United States)

    Lance A. Vickers; Thomas R. Fox; David L. Loftis; David A. Boucugnani

    2011-01-01

    REGEN is an expert system that predicts future species composition at the onset of stem exclusion using preharvest stand conditions. To extend coverage into hardwood stands of the Central Appalachians, we developed REGEN knowledge bases for four site qualities (xeric, subxeric, submesic, mesic) based on relevant literature and expert opinion. Data were collected from...

  4. Further development of the ZEUS Expert System: Computer science foundations of design

    Energy Technology Data Exchange (ETDEWEB)

    Flasinski, M.

    1994-03-01

    The prototype version of the ZEUS Expert System, ZEXP, was diagnosing selected aspects of DAQ System during ZEUS running in 1993. In November 1993 ZEUS decided to extend its scope in order to cover all crucial aspects of operating the ZEUS detector (Run Control, Slow Control, Data Acquisition performance and Data Quality Monitoring). The paper summarizes fundamental assumptions concerning the design of the final version of the ZEUS Expert System, ZEX. Although the theoretical background material relates primarily to ZEX, its elements can be used for constructing other expert systems for HEP experiments. (orig.)

  5. Design and implementation of an expert system for remote fault diagnosis in ship lift

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    In this paper an expert system for remote fault diagnosis in the ship lift was developed by analysis of the fault tree and combination with VPN. The fault tree was constructed based on the operation condition of the ship lift. The diagnosis model was constructed by hierarchical classification of the fault tree structure, and the inference mechanism was given. Logical structure of the fault diagnosis in the ship lift was proposed. The implementation of the expert system for remote fault diagnosis in the ship lift was discussed, and the expert system developed was realized on the VPN virtual network. The system was applied to the Gaobaozhou ship lift project, and it ran successfully.

  6. Using a CLIPS expert system to automatically manage TCP/IP networks and their components

    Science.gov (United States)

    Faul, Ben M.

    1991-01-01

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

  7. Assessment of Power Quality Disturbances in the Distribution System Using Kalman Filter and Fuzzy Expert System

    Directory of Open Access Journals (Sweden)

    P. Kalyana Sundaram

    2016-11-01

    Full Text Available The paper presents a novel method for the assessment of the power quality disturbances in the distribution system using the Kalman filter and fuzzy expert system. In this method the various classes of disturbance signals are developed through the Matlab Simulink on the test system model. The characteristic features of the disturbance signals are extracted based on the Kalman filter technique. The obtained features such as amplitude and slope are given as the two inputs to the fuzzy expert system. It applied some rules on these inputs to assess the various PQ disturbances. Fuzzy classifier has been carried out and tested for various power quality disturbances. The results clearly demonstrate that the proposed method in the distribution system has the ability to detect and classify PQ events.

  8. Using the Simulation Modeling Methods for the Designing Real-Time Integrated Expert Systems

    OpenAIRE

    Rybina, Galina; Rybin, Victor

    2003-01-01

    Certain theoretical and methodological problems of designing real-time dynamical expert systems, which belong to the class of the most complex integrated expert systems, are discussed. Primary attention is given to the problems of designing subsystems for modeling the external environment in the case where the environment is represented by complex engineering systems. A specific approach to designing simulation models for complex engineering systems is proposed and examples of...

  9. IMPLEMENTATION OF A REAL TIME SUPERVISORY CONTROLLER FOR AN ISOLATED HYBRID (WIND/ SOLAR/DIESEL) POWER SYSTEM

    OpenAIRE

    Boopathy C P; Dr.Sivakumar L

    2014-01-01

    In most of the developing countries like India and South Africa, there exists still many remote places (isolated from the grid); where the electrification is unavailable due to the financial aspect related to establishing the infrastructure to distribute power over a long distance and consequent high transmission losses. Authors emphasize for an Autonomous Hybrid Power Systems (AHPS), which will eradicate the problems faced by the remote places. Integration of Wind/Solar/Diesel also ensures t...

  10. A Survey of Algorithms and Systems for Expert Location in Social Networks

    Science.gov (United States)

    Lappas, Theodoros; Liu, Kun; Terzi, Evimaria

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

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

    Directory of Open Access Journals (Sweden)

    T. Gonciarz

    2014-06-01

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

  12. Supervisory Control and Data Acquisition Laboratory

    Directory of Open Access Journals (Sweden)

    M. Iacob

    2010-06-01

    Full Text Available This paper presents practical laboratories for teaching purpose in Supervisory Control and Data Acquisition (SCADA systems. A SCADA system is described in terms of architecture, process interfaces, functionality, and application development facilities. These concepts are implemented on an integrated automation system, particularly for digital control of electric drives with a distributed peripheral, i.e., Totally Integrated Automation with Democase from Siemens. Using this system, a wide range of applications can be designed, implemented and tested. A practical labs set is presented to introduce gradually the main SCADA elements, and finally to develop an application to control an induction motor in interlocked manual/automatic mode, with touch-screen Human Machine Interface (HMI. The system employs industrial busses like PROFIBus and industrial Ethernet. The SCADA system also shows trends, alarms, motor frequency and automatic sequence of motor speed profile.

  13. Development and evaluation of an expert system for the diagnosis of child autism.

    Science.gov (United States)

    Lialiou, Pashalina; Zikos, Dimitrios; Mantas, John

    2012-01-01

    This paper presents the development of an expert system for the diagnosis of child autism and discusses potential benefits of its implementation in a clinical environment. The development of the expert system was based on a diagnostic algorithm supported by a developmental scale (PEDS) and a diagnostic tool of autism (CARS). Twelve nurses who work in pediatric hospital were asked to use the expert system for a session of 30 minutes and were asked to assess its usefulness, usability and diagnostic value. The majority of nurses agree that it is a useful and promising diagnostic tool for the clinical practice and for the identification of potential child autism cases.

  14. 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.

  15. Fault detection thermal storage system by expert system using fuzzy abduction

    Energy Technology Data Exchange (ETDEWEB)

    Yamada, Koichi [Yamatake-Honeywell Co., Ltd, Yokohama (Japan). Advanced Technology Center; Kamimura, Kazuyuki [Yamatake-Honeywell Co., Ltd., Tokyo (Japan). Building Systems Div.

    1996-12-31

    Fuzzy abduction is a procedure for deriving fuzzy sets of hypotheses which explain a given fuzzy set of events using a set of rules with a truth value. The derived fuzzy sets of hypotheses are called fuzzy explanations. This presentation starts with discussion about diagnosis using conventional expert systems and that using fuzzy relational equations. Then, it proposes a new approach using a fuzzy abduction, and applies the technique to fault detection of a thermal storage system. (orig.)

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

    Science.gov (United States)

    Gu, Honghong

    2017-09-01

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

  17. 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.

  18. Evaluation of Medical Expert Systems: A Case Study in Performance Assessment

    Science.gov (United States)

    Reggia, James A.

    1985-01-01

    A number of methods for critically evaluating the performance of medical expert systems in practice are surveyed. To illustrate the concepts involved, clinical evaluation of the performance of a computer-based decision aid for patients having transient ischemic attacks is discussed in some detail. Two factors are identified as crucial in the rapid development and testing of this system: the availability of a domain-independent expert system generator, and the existence of a database of relevant patient records.

  19. A Methodology for Implementing Clinical Algorithms Using Expert-System and Database Tools

    OpenAIRE

    Rucker, Donald W.; Shortliffe, Edward H.

    1989-01-01

    The HyperLipid Advisory System is a combination of an expert system and a database that uses an augmented transition network methodology for implementing clinical algorithms. These algorithms exist as tables from which the separate expert-system rule base sequentially extracts the steps in the algorithm. The rule base assumes that the algorithm has a binary branching structure and models episodes of clinical care, but otherwise makes no assumption regarding the specific clinical domain. Hyper...

  20. RFID-Based Critical Path Expert System for Agility Manufacture Process Management

    Science.gov (United States)

    Cheng, Haifang; Xiang, Yuli

    This paper presents a critical path expert system for the agility manufacture process management based on radio frequency identification (RFID) technology. The paper explores that the agility manufacture processes can be visible and controllable with RFID. The critical paths or activities can be easily found out and tracked by the RFID tracing technology. And the expert system can optimize the bottle neck of the task process of the agility management with the critical path adjusting and reforming method. Finally, the paper gives a simple application example of the system to discuss how to adjust the critical paths and how to make the process more agility and flexibility with the critical path expert system. With an RFID-based critical path expert system, the agility manufacture process management will be more effective and efficient.

  1. Developing a web-based advisory expert system for implementing traffic calming strategies.

    Science.gov (United States)

    Falamarzi, Amir; Borhan, Muhamad Nazri; Rahmat, Riza Atiq O K

    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 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.

  2. 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.

  3. Bridging Decision Tree Data Mining Model to the Automated Knowledge Base for Rice Plant Agriculture Expert System

    National Research Council Canada - National Science Library

    Divya Joy; Sreekumar K

    2015-01-01

    .... This paper presents a new methodology for the expert system design and uses a novel approach for the development with some data mining technique and implements a rule based expert system for rice plant...

  4. Model-driven Migration of Supervisory Machine Control Architectures

    NARCIS (Netherlands)

    Graaf, B.; Weber, S.; Van Deursen, A.

    2006-01-01

    Supervisory machine control is the high-level control in advanced manufacturing machines that is responsible for the coordination of manufacturing activities. Traditionally, the design of such control systems is based on finite state machines. An alternative, more flexible approach is based on

  5. Diagnostic performance of an expert system for interpretation of 99mTc MAG3 scans in suspected renal obstruction.

    Science.gov (United States)

    Taylor, Andrew; Garcia, Ernest V; Binongo, Jose Nilo G; Manatunga, Amita; Halkar, Raghuveer; Folks, Russell D; Dubovsky, Eva

    2008-02-01

    The purpose of the study was to compare diuresis renography scan interpretation generated by a renal expert system with the consensus interpretation of 3 expert readers. The expert system was evaluated in 95 randomly selected furosemide-augmented patient studies (185 kidneys) obtained for suspected obstruction; there were 55 males and 40 females with a mean age +/- SD of 58.6 +/- 16.5 y. Each subject had a baseline (99m)Tc-mercaptoacetyltriglycine ((99m)Tc-MAG3) scan followed by furosemide administration and a separate 20-min acquisition. Quantitative parameters were automatically extracted from baseline and furosemide acquisitions and forwarded to the expert system for analysis. Three experts, unaware of clinical information, independently graded each kidney as obstructed/probably obstructed, equivocal, and probably nonobstructed/nonobstructed; experts resolved differences by a consensus reading. These 3 expert categories were compared with the obstructed, equivocal, and nonobstructed interpretations provided by the expert system. Agreement was assessed using weighted kappa, and the predictive accuracy of the expert system compared with expert readers was assessed by the area under receiver-operating-characteristic (ROC curve) curves. The expert system agreed with the consensus reading in 84% (101/120) of nonobstructed kidneys, in 92% (33/36) of obstructed kidneys, and in 45% (13/29) of equivocal kidneys. The weighted kappa between the expert system and the consensus reading was 0.72 and was comparable with the weighted kappa between experts. There was no significant difference in the areas under the ROC curves when the expert system was compared with each expert using the other 2 experts as the gold standard. The renal expert system showed good agreement with the expert interpretation and could be a useful educational and decision support tool to assist physicians in the diagnosis of renal obstruction. To better mirror the clinical setting, algorithms to

  6. 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.

  7. 轨道交通综合监控仿真培训系统数据交互模块的设计%Design of the Data Interaction Module for Rail Transit Integrated Supervisory Simulation Training System

    Institute of Scientific and Technical Information of China (English)

    朱祁; 崔伟; 谢向阳

    2016-01-01

    为了实现轨道交通综合监控仿真培训系统与各种综合监控系统的有效连接和信息交互,设计了一种数据交互模块.该模块具备便利的管理接口、多种数据存储单元及配套的读写接口,并且具有一个通信协议池,支持多种通信协议接口与综合监控系统进行数据交互.该模块成功地连接了轨道交通综合监控系统与仿真模拟器,具有很好的实用性和扩展性.%In order to realize the effective links and information interaction between rail transit integrated supervisory system and various kinds of integrated monitoring systems,a data interaction module is design. The module is equipped with convenient management interface,a variety of data storage units,as well as the matched interface for read and write. In addition,communication protocols pool is possessed to support multiple communication protocol interfaces for data interacting with integrated monitoring systems. The module connects the integrated supervisory system of rail transit and the simulator successfully,and has very good practicability and extensibility.

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

    Science.gov (United States)

    Happell, Nadine; Miksell, Steven G.

    1989-01-01

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

  9. HAIM OMLET: An Expert System For Research In Orthomodular Lattices And Related Structures

    Science.gov (United States)

    Dankel, D. D.; Rodriguez, R. V.; Anger, F. D.

    1986-03-01

    This paper describes research towards the construction of an expert system combining the brute force power of algorithmic computation and the inductive reasoning power of a rule-based inference engine in the mathematical area of discrete structures. Little research has been conducted on extending existing expert systems' technology to computationally complex areas. This research addresses the extension of expert systems into areas such as these, where the process of inference by itself will not produce the proper results. Additionally, the research will demonstrate the benefits of combining inference engines and mathematical algorithms to attack computationally complex problems. The specific aim is to produce an expert system which embodies expert level knowledge of orthomodular lattices, graphs, structure spaces, boolean algebras, incidence relations, and projective configurations. The resulting system, implemented on a micro-computer, will provide researchers a powerful and accessible tool for exploring these discrete structures. The system's "shell" will provide a structure for developing other expert systems with similar capabilities in such related areas as coding theory, categories, monoids, automata theory, and non-standard logics.

  10. SFTYCHEF: A Consultative, Diagnostic Expert System for Trench Excavation Safety Analysis on Light Commercial Construction Projects.

    Science.gov (United States)

    1987-03-30

    following seven characteristics. 1. EXPERTISE - The most important goal in expert system work is to attain the high level of performance that a human .The...simply results that are right , but as can easily be imagined, problems unfold quickly when right and wrong answers are not known or when multiple right ...Chang, T. C., Sanjay Joshi, R. L. Kashyap , S. R. T. Kumara, and C. L. Moodie, "Expert Systems in Industrial Engineering." Technical Report, Purdue

  11. 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.

  12. Development of an expert system for abnormal operating procedures in a main control room.

    Science.gov (United States)

    Hsieh, Min-Han; Hwang, Sheue-Ling; Liu, Kang-Hong; Liang, Sheau-Farn Max; Chuang, Chang-Fu

    2012-01-01

    The study was conducted from the perspective of human factors engineering in order to compare the process that operators originally used to diagnose potential and actual faults with a process that included an expert system for diagnosing faults. The results of the study indicated that the existence of an expert system for fault diagnosis makes the task of fault diagnosis easier and reduces errors by quickly suggesting likely Abnormal Operating Procedures (AOPs).

  13. 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...

  14. A Real-time Data Distribution Method for Supervisory and Control System in Large or Middle Hydropower Station%一种大中型水电厂监控系统实时数据分流方法

    Institute of Scientific and Technical Information of China (English)

    夏智娟; 李斌; 顾锋; 孙毅

    2012-01-01

    The typical system structure and real-time data classification of supervisory and control system is introduced. A realtime data distribution method for supervisory and control system in large or middle hydropower station is proposed, including its general target, design idea and general structure. The method is described in'details from cross-platform implementation, event transmission, real-time data transmission and load-balancing, etc. . Finally, the application of this method is also introduced.%介绍了典型的水电厂监控系统结构和系统实时数据分类方法.提出了一种大中型水电厂监控系统的实时数据分流方法,描述了该方法的总体目标、设计思想和总体结构,从跨平台实现、事件传输、同步数据传输、负载均衡等方面对该方法进行了详细说明,并介绍了该方法的应用.

  15. An Expert System for the Design of Heating, Ventilating, and Air-Conditioning Systems

    Science.gov (United States)

    1989-12-14

    calculations, printing project reports, and passing data between the knowledge bases are needed and have been developed to join the separate knowledge...design, and fluid mechanics. Some literature was also found concerning expert systems in the construction industry. Gero (1985) and Kosten and Maher...manual (Microsoft Quick Basic Rel 3.0), a text on user interface programming (Simpson 1986) and two magazine articles (Leithauser 1987, 74- 75

  16. 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.

  17. A Belief Rule Based Expert System to Assess Tuberculosis under Uncertainty.

    Science.gov (United States)

    Hossain, Mohammad Shahadat; Ahmed, Faisal; Fatema-Tuj-Johora; Andersson, Karl

    2017-03-01

    The primary diagnosis of Tuberculosis (TB) is usually carried out by looking at the various signs and symptoms of a patient. However, these signs and symptoms cannot be measured with 100 % certainty since they are associated with various types of uncertainties such as vagueness, imprecision, randomness, ignorance and incompleteness. Consequently, traditional primary diagnosis, based on these signs and symptoms, which is carried out by the physicians, cannot deliver reliable results. Therefore, this article presents the design, development and applications of a Belief Rule Based Expert System (BRBES) with the ability to handle various types of uncertainties to diagnose TB. The knowledge base of this system is constructed by taking experts' suggestions and by analyzing historical data of TB patients. The experiments, carried out, by taking the data of 100 patients demonstrate that the BRBES's generated results are more reliable than that of human expert as well as fuzzy rule based expert system.

  18. Isomorphic Transformations of Uncertainties for Incorporating EMYCIN-Style and PROSPECTOR-Style Systems into a Distributed Expert System

    Institute of Scientific and Technical Information of China (English)

    ZHANG Chengqi; LUO Xudong

    1999-01-01

    In the past, expert systems exploited mainly the EMYCIN model andthe PROSPECTOR model to deal with uncertainties. In other words, a lotof stand-alone expert systems which use these two models are available.If we can use the Internet to couple them together, their performancewill be improved through cooperation. This is because theproblem-solving ability of expert systems is greatly improved by the wayof cooperation among different expert systems in a distributed expertsystem. Cooperation between different expert systems with these twoheterogeneous uncertain reasoning models is essentially based on thetransformations of uncertainties of propositions between these twomodels. In this paper, we discovered the exactly isomorphictransformations uncertainties between uncertain reasoning models, asused by EMYCIN and PROSPECTOR.

  19. Key properties of expert movement systems in sport : an ecological dynamics perspective.

    Science.gov (United States)

    Seifert, Ludovic; Button, Chris; Davids, Keith

    2013-03-01

    This paper identifies key properties of expertise in sport predicated on the performer-environment relationship. Weaknesses of traditional approaches to expert performance, which uniquely focus on the performer and the environment separately, are highlighted by an ecological dynamics perspective. Key properties of expert movement systems include 'multi- and meta-stability', 'adaptive variability', 'redundancy', 'degeneracy' and the 'attunement to affordances'. Empirical research on these expert system properties indicates that skill acquisition does not emerge from the internal representation of declarative and procedural knowledge, or the imitation of expert behaviours to linearly reduce a perceived 'gap' separating movements of beginners and a putative expert model. Rather, expert performance corresponds with the ongoing co-adaptation of an individual's behaviours to dynamically changing, interacting constraints, individually perceived and encountered. The functional role of adaptive movement variability is essential to expert performance in many different sports (involving individuals and teams; ball games and outdoor activities; land and aquatic environments). These key properties signify that, in sport performance, although basic movement patterns need to be acquired by developing athletes, there exists no ideal movement template towards which all learners should aspire, since relatively unique functional movement solutions emerge from the interaction of key constraints.

  20. Enhancing an adaptive e-learning system with didactic test assessment using an expert system

    Science.gov (United States)

    Bradáč, Vladimír; Kostolányová, Kateřina

    2017-07-01

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

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

    Directory of Open Access Journals (Sweden)

    Anton Setiawan Honggowibowo

    2009-12-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2004-07-01

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

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

    Directory of Open Access Journals (Sweden)

    Vidyaev Igor G.

    2016-01-01

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

  4. STUDY OF REAL-TIME EXPERT SYSTEM TOOL FOR INDUSTRIAL FAULT MONITORING AND DIAGNOSIS

    Institute of Scientific and Technical Information of China (English)

    谢桂林; 周建荣

    1992-01-01

    From the requirements ot industrial production,an integrated fault monitoring,diagnosis and repairing system is suggested in this paper. This new scheme of fault monitoring and diagnosis system is realized by a master-slave real-time expert system,and a real-time expert system tool for this system is also developed accordingly. As an example of application of this tool,a realtime expert system for fault monitoring and diagnosis on DC mine hoist is developed. Experiments show that this tool possesses better supporting environment,strong knowledge acquisition ability, and convenience for use. The system developed by this tool not only meets the realtime requirement of DC hoist,but also can give correct diagnosis results.

  5. Water Expert: a conceptualized framework for development of a rule-based decision support system for distribution system decontamination

    Directory of Open Access Journals (Sweden)

    J. L. Gutenson

    2014-05-01

    Full Text Available Significant drinking water contamination events pose a serious threat to public and environmental health. Water utilities often must make timely, critical decisions without evaluating all facets of the incident, as the data needed to enact informed decisions are inevitably dispersant and disparate, originating from policy, science, and heuristic contributors. Water Expert is a functioning hybrid decision support system (DSS and expert system framework, with emphases on meshing parallel data structures to expedite and optimize the decision pathway. Delivered as a thin-client application through the user's web browser, Water Expert's extensive knowledgebase is a product of inter-university collaboration that methodically pieced together system decontamination procedures through consultation with subject matter experts, literature review, and prototyping with stakeholders. This paper discusses development of Water Expert, analyzing the development process underlying the DSS and the system's existing architecture specifications.

  6. 25 CFR 163.72 - Supervisory relationship.

    Science.gov (United States)

    2010-04-01

    ... 25 Indians 1 2010-04-01 2010-04-01 false Supervisory relationship. 163.72 Section 163.72 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR LAND AND WATER GENERAL FORESTRY REGULATIONS Cooperative Agreements § 163.72 Supervisory relationship. In any agreement authorized by the Secretary, Indian...

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2013-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

    Arena, L.

    2013-01-01

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

  9. A Process Algebra for Supervisory Coordination

    CERN Document Server

    Baeten, Jos; van Hulst, Allan; Markovski, Jasen; 10.4204/EPTCS.60.3

    2011-01-01

    A supervisory controller controls and coordinates the behavior of different components of a complex machine by observing their discrete behaviour. Supervisory control theory studies automated synthesis of controller models, known as supervisors, based on formal models of the machine components and a formalization of the requirements. Subsequently, code generation can be used to implement this supervisor in software, on a PLC, or embedded microprocessor. In this article, we take a closer look at the control loop that couples the supervisory controller and the machine. We model both event-based and state-based observations using process algebra and bisimulation-based semantics. The main application area of supervisory control that we consider is coordination, referred to as supervisory coordination, and we give an academic and an industrial example, discussing the process-theoretic concepts employed.

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

    Directory of Open Access Journals (Sweden)

    Somaye Hoseini

    2013-09-01

    Full Text Available 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 financial ratios as input and prediction of credit risk level as the output. This study was a descriptive-case study research. The population consisted of credit experts of Tejarat bank who were the member of bank’s credit Committee and had the right to vote for facilities approval and the individuals whose main task was providing reports for granting facilities and monitoring the use of facilities. After an initial interview and determining the evaluation criteria for facilities and determining the items for each of the criteria, a questionnaire was designed using Likert scale. Data normality test was conducted to ensure the accuracy of the collected data. T-test was performed to realize the selected criteria are important. Then, experts were asked to determine the minimum score for providing the facility to the applicant in each section of the questionnaire. The laws of expert system were provided based on determined minimum scores.

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

    Directory of Open Access Journals (Sweden)

    Somaye Hoseini

    2013-09-01

    Full Text Available 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 customer financial ratios as input and prediction of credit risk level as the output. This study was a descriptive-case study research. The population consisted of credit experts of Tejarat bank who were the member of bank’s credit Committee and had the right to vote for facilities approval and the individuals whose main task was providing reports for granting facilities and monitoring the use of facilities. After an initial interview and determining the evaluation criteria for facilities and determining the items for each of the criteria, a questionnaire was designed using Likert scale. Data normality test was conducted to ensure the accuracy of the collected data. T-test was performed to realize the selected criteria are important. Then, experts were asked to determine the minimum score for providing the facility to the applicant in each section of the questionnaire. The laws of expert system were provided based on determined minimum scores.

  12. Workflow Agents vs. Expert Systems: Problem Solving Methods in Work Systems Design

    Science.gov (United States)

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

    2009-01-01

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

  13. 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

    A community of highly qualified employees is desirable for the workforce to become a competitive business advantage, improving and sustaining corporate health. Currently, the scientific literature is limited on information comparing the assessment of expert and qualified workers for the employee-work environment interface. Such information would be valuable for industrial managers to obtain and act on the different perspectives of its workers for business improvement and survivability. A primary objective of this study is to explore the perspectives of expert and qualified workers on the quality of the employee-work environment interface in a manufacturing enterprise. This investigation was performed in a production department in a small manufacturing enterprise. Two expert workers participated in the study, with each being in the company for 30 years and having performed all jobs in the production department as well as supervisory and line management responsibilities. A total of 13 qualified workers from day and night shifts were used in the study, with the great majority of workers possessing 10 or more years of on-the-job experience but not acquiring the same specialised knowledge required for operating the technological resources in the department. The work compatibility methodology was used to assess the quality of employee-work environment interface for both expert and qualified workers. Both expert and qualified workers provided similar trends in terms of their compatibility assessment of experienced and acting work domains. In general, the compatibility levels for the day shift were poorer than those obtained for the night shift for acting work domains. The similarities in assessment between the expert and qualified workers were much closer for factors impacting job performance at the task and immediate surrounding levels (i.e. physical and mental task content, physical environment). There were greater differences at the macro level, that is, at the process

  14. Conceptual framework for distributed expert-system use in time-sensitive hierarchical control

    Energy Technology Data Exchange (ETDEWEB)

    Henningsen, J.R.

    1987-01-01

    There are many problems faced by decision makers involved in complex, time-sensitive hierarchical control systems. These may include maintaining knowledge of the functional status of the system components, forecasting the impact of past and future events, transferring information to a distant or poorly connected location, changing the requirements for an operation according to resources available, or creating an independent course of action when system connectivity falls. These problems are transdisciplinary in nature, so decision makers in a variety of organizations face them. This research develops a framework for the use of distributed expert systems in support of time-sensitive hierarchical control systems. Attention is focused on determining ways to enhance the likelihood that a system will remain functional during a crisis in which one or more of the system nodes fail. Options in the use of distributed expert systems for this purpose are developed following investigation of related research in the areas of cooperative and distributed systems. A prototype under development of a generic system model called DES (distributed expert systems) is described. DES is a trimular form of support structure, where a trimule is defined to be a combination of a human decision agent, a component system model and an expert system. This concept is an extension of the domular theory of Tenney and Sandell (1981).

  15. A prototype expert/information system for examining environmental risks of KSC activities

    Science.gov (United States)

    Engel, Bernard A.

    1993-01-01

    Protection of the environment and natural resources at the Kennedy Space Center (KSC) is of great concern. An expert/information system to replace the paper-based KSC Environmental Checklist was developed. The computer-based system requests information only as a required and supplies assistance as needed. The most comprehensive portion of the system provides information about endangered species habitat at KSC. This module uses geographic information system (GIS) data and tools, expert rules, color graphics, computer-based video, and hypertext to provide information.

  16. Development of expert system for biobased polymer material selection: food packaging application.

    Science.gov (United States)

    Sanyang, M L; Sapuan, S M

    2015-10-01

    Biobased food packaging materials are gaining more attention owing to their intrinsic biodegradable nature and renewability. Selection of suitable biobased polymers for food packaging applications could be a tedious task with potential mistakes in choosing the best materials. In this paper, an expert system was developed using Exsys Corvid software to select suitable biobased polymer materials for packaging fruits, dry food and dairy products. If - Then rule based system was utilized to accomplish the material selection process whereas a score system was formulated to facilitate the ranking of selected materials. The expert system selected materials that satisfied all constraints and selection results were presented in suitability sequence depending on their scores. The expert system selected polylactic acid (PLA) as the most suitable material.

  17. 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.

  18. Accident diagnosis system based on real-time decision tree expert system

    Science.gov (United States)

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

    2017-06-01

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

  19. Design of an expert system to automatically calibrate impedance control for powered knee prostheses.

    Science.gov (United States)

    Wang, Ding; Liu, Ming; Zhang, Fan; Huang, He

    2013-06-01

    Many currently available powered knee prostheses (PKP) use finite state impedance control to operate a prosthetic knee joint. The desired impedance values were usually manually calibrated with trial-and-error in order to enable near-normal walking pattern. However, such a manual approach is inaccurate, time consuming, and impractical. This paper aimed to design an expert system that can tune the control impedance for powered knee prostheses automatically and quickly. The expert system was designed based on fuzzy logic inference (FLI) to match the desired knee motion and gait timing while walking. The developed system was validated on an able-bodied subject wearing a powered prosthesis. Preliminary experimental results demonstrated that the developed expert system can converge the user's knee profile and gait timing to the desired values within 2 minutes. Additionally, after the auto-tuning procedure, the user produced more symmetrical gait. These preliminary results indicate the promise of the designed expert system for quick and accuracy impedance calibration, which can significantly improve the practical value of powered lower limb prosthesis. Continuous engineering efforts are still needed to determine the calibration objectives and validate the expert system.

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

    Directory of Open Access Journals (Sweden)

    A. H. Dong

    2013-01-01

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