Relevant bibliographies by topics / Java Expert System Shell

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Java Expert System Shell'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Java Expert System Shell"

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Schumacher, T. "The Java-Medical Diagnostics Expert System Shell." Transfusion Medicine and Hemotherapy 28, no. 5 (2001): 292–96. http://dx.doi.org/10.1159/000053556.

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Thirumaran M. and Banupriya P. "Dynamic Interactive Voice Response System Using Ontology and Java Expert System Shell." Procedia Computer Science 70 (2015): 107–13. http://dx.doi.org/10.1016/j.procs.2015.10.049.

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Liu, Zhi Hai, Qing Liang Zeng, Cheng Long Wang, and Yu Shan Li. "Research of Equipment Selection and Matching Expert System in Fully Mechanized Caving Face Based on Ontology." Key Engineering Materials 419-420 (October 2009): 117–20. http://dx.doi.org/10.4028/www.scientific.net/kem.419-420.117.

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The technologies of expert system, ontology modeling and reasoning are studied and applied in this paper. A framework of ontology-based expert system for equipment selection and matching in fully mechanized caving face is built up. The OWL(Web Ontology Language) based equipment knowledge base is set up, and the redundant test is made in the protégé environment. The equipment selection and matching rules are built up by using SWRL(Semantic Web Rule Language). By using JAVA language, the output of equipment selection expert system is optimized based on the theory of Analytic Hierarchy Process. At last, the functions of the expert system are achieved under JESS(Java Expert System Shell) environment. Practical application shows that the equipments selected and matched by ontology-based expert system are more realistic.
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Vitkus, Donatas, Žilvinas Steckevičius, Nikolaj Goranin, Diana Kalibatienė, and Antanas Čenys. "Automated Expert System Knowledge Base Development Method for Information Security Risk Analysis." International Journal of Computers Communications & Control 14, no. 6 (2019): 743–58. http://dx.doi.org/10.15837/ijccc.2019.6.3668.

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Information security risk analysis is a compulsory requirement both from the side of regulating documents and information security management decision making process. Some researchers propose using expert systems (ES) for process automation, but this approach requires the creation of a high-quality knowledge base. A knowledge base can be formed both from expert knowledge or information collected from other sources of information. The problem of such approach is that experts or good quality knowledge sources are expensive. In this paper we propose the problem solution by providing an automated ES knowledge base development method. The method proposed is novel since unlike other methods it does not integrate ontology directly but utilizes automated transformation of existing information security ontology elements into ES rules: The Web Ontology Rule Language (OWL RL) subset of ontology is segregated into Resource Description Framework (RDF) triplets, that are transformed into Rule Interchange Format (RIF); RIF rules are converted into Java Expert System Shell (JESS) knowledge base rules. The experiments performed have shown the principal method applicability. The created knowledge base was later verified by performing comparative risk analysis in a sample company.
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Panji, Pringga Satria, Tommy Ilyas, and Erly Bahsan. "Assessment of Bridge Substructure in Java Island." MATEC Web of Conferences 147 (2018): 07005. http://dx.doi.org/10.1051/matecconf/201814707005.

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Bridges play important roles in transportation system. Hazard to substructure of bridges become amplified. Based on previous year data, at least one-third of total bridges in Indonesia are damaged in certain level of defect. The performance of existing bridges shall be in-check everytime. Substructure of bridge itself is prone to hazards such as ground displacement, slope instability, seismic-related hazard and scour. Traffic data and soil investigation data will be used to analyse ground displacement and slope instability where the bridge located. Local geological and seismic data will be used to assess seismic-related hazard. Quantitative data is technical information and analyses from geotechnical aspects. Qualitative data is an expert system collected from bridge expert and local goverment. The expert system will have a rating system for each aspect. Fuzzy-based method is an effective tool for modeling some vague datas and this ease the decision-making process. Fuzzy Analytical Hierarchy Process (FAHP) will be used to analyses geotechnical aspect and expert system. Hazard identification, risk rating, risk analysis, and risk assessment are steps conducted in FAHP method. Classification and rating of risk can be done with proposed method. This assessment can be a tool or recommendation for local government where the bridge located.
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Vitkus, Donatas, Jonathan Salter, Nikolaj Goranin, and Dainius Čeponis. "Method for Attack Tree Data Transformation and Import Into IT Risk Analysis Expert Systems." Applied Sciences 10, no. 23 (2020): 8423. http://dx.doi.org/10.3390/app10238423.

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Information technology (IT) security risk analysis preventatively helps organizations in identifying their vulnerable systems or internal controls. Some researchers propose expert systems (ES) as the solution for risk analysis automation since risk analysis by human experts is expensive and timely. By design, ES need a knowledge base, which must be up to date and of high quality. Manual creation of databases is also expensive and cannot ensure stable information renewal. These facts make the knowledge base automation process very important. This paper proposes a novel method of converting attack trees to a format usable by expert systems for utilizing the existing attack tree repositories in facilitating information and IT security risk analysis. The method performs attack tree translation into the Java Expert System Shell (JESS) format, by consistently applying ATTop, a software bridging tool that enables automated analysis of attack trees using a model-driven engineering approach, translating attack trees into the eXtensible Markup Language (XML) format, and using the newly developed ATES (attack trees to expert system) program, performing further XML conversion into JESS compatible format. The detailed method description, along with samples of attack tree conversion and results of conversion experiments on a significant number of attack trees, are presented and discussed. The results demonstrate the high method reliability rate and viability of attack trees as a source for the knowledge bases of expert systems used in the IT security risk analysis process.
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Hanif Md Saad, Mohamad, Rabiah Adawiyah Shahad, Kong Win, and Aini Hussain. "ExSIDE: Component Based Object Oriented Expert System’s Integrated Development Environment." JOIV : International Journal on Informatics Visualization 1, no. 3 (2017): 88. http://dx.doi.org/10.30630/joiv.1.3.27.

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This paper describes the design and development of a component-based object oriented Expert System's Integrated Development Environment (ExSIDE). It is integrated with (i) a user-friendly manual and automated knowledge acquisition and management tool (ExSIDE_KAMT);(ii) an independent and customizable runtime module (ExSIDE_RTM); (iii) an object-oriented in-process Component Object Model (COM)-based inference engine (ExSIDE_IE); (iv) an object-oriented out-of-process COM-based inference engine (ExSIDE_IESvr); (v) and a PHP based inference engine (ExSIDE_PHP). ExSIDE_RTM can function independently as an Expert System Shell (ESS) and helps user to develop Expert Systems rapidly. ExSIDE_IE and ExSIDE_IES can be integrated with COM-supporting general purpose and scientific application development tools such as variants of C/C++/C#, BASIC (Visual BASIC®, REALbasic®), Java, MATLAB®, LabVIEW®, and Mathematica® to develop more advanced Expert Systems. Finally, ExSIDE_IE and ExSIDE_PHP can be used with Active Server Pages (ASP) and PHP technologies to generate web based Expert Systems. The unique framework of the ExSIDE enables rapid development of Expert Systems' on PC and web for technical and non-technical users. The overall system was developed successfully, and its usability was demonstrated via five unique Expert Systems case studies discussed in this paper.
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Munawar, Saima, Saba Khalil Toor, Muhammad Aslam, and Esma Aimeur. "PACA-ITS: A Multi-Agent System for Intelligent Virtual Laboratory Courses." Applied Sciences 9, no. 23 (2019): 5084. http://dx.doi.org/10.3390/app9235084.

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This paper describes an intensive design leading to the implementation of an intelligent lab companion (ILC) agent for an intelligent virtual laboratory (IVL) platform. An IVL enables virtual labs (VL) to be used as online research laboratories, thereby facilitating and improving the analytical skills of students using agent technology. A multi-agent system enhances the capability of the learning system and solves students’ problems automatically. To ensure an exhaustive Agent Unified Modeling Language (AUML) design, identification of the agents’ types and responsibilities on well-organized AUML strategies is carried out. This work also traces the design challenge of IVL modeling and the ILC agent functionality of six basic agents: the practical coaching agent (PCA), practical dispatcher agent (PDA), practical interaction and coordination agent (PICA), practical expert agent (PEA), practical knowledge management agent (PKMA), and practical inspection agent (PIA). Furthermore, this modeling technique is compatible with ontology mapping based on an enabling technology using the Java Agent Development Framework (JADE), Cognitive Tutor Authoring Tools (CTAT), and Protégé platform integration. The potential Java Expert System Shell (Jess) programming implements the cognitive model algorithm criteria that are applied to measure progress through the CTAT for C++ programming concept task on IVL and successfully deployed on the TutorShop web server for evaluation. The results are estimated through the learning curve to assess the preceding knowledge, error rate, and performance profiler to engage cognitive Jess agent efficiency as well as practicable and active decisions to improve student learning.
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Rahimi, Shahram, Rishath A. S. Rias, and Elham S. Khorasani. "An Open-Bisimilarity Based Automated Verification Tool for -Calculus Family of Process Calculi." International Journal of Software Science and Computational Intelligence 4, no. 1 (2012): 55–83. http://dx.doi.org/10.4018/jssci.2012010103.

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The complexity of designing concurrent and highly-evolving interactive systems has grown to a point where system verification has become a hurdle. Fortunately, formal verification methods have arrived at the right time. They detect errors, inconsistencies and incompleteness at early development stages of a system formally modeled using a formal specification language. -calculus (Milner, 1999) is one such formal language which provides strong mathematical base that can be used for verifying system specifications. But manually verifying the specifications of concurrent systems is a very tedious and error-prone work, especially if the specifications are large. Consequently, an automated verification tool would be essential for efficient system design and development. In addition, formal verification tools are vital ingredient to fully harness the potential of component-based software composition. The authors developed such an automated verification tool which is highly portable and seamlessly integrates with the visualization, reduction and performance evaluation tools introduced (Ahmad & Rahimi, 2008; Rahimi, 2006; Rahimi et al., 2001, 2008) to provide a comprehensive tool for designing and analyzing multi process/agent systems. Open-Bisimulation (Sangiorgi, 1996) concept is utilized as the theoretical base for the design and implementation of the tool which incorporates an expert system implemented in Java Expert System Shell (JESS) (Friedman-Hill, 2003).
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Lan, Hong Bo, Yu Cheng Ding, Cheng Rui Zhang, and Zhuang De Jiang. "A Web-Based Cost Estimation System for Collaborative Development of Injection Mould." Materials Science Forum 532-533 (December 2006): 997–1000. http://dx.doi.org/10.4028/www.scientific.net/msf.532-533.997.

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To satisfy the increasing requirements in the collaborative development and price quotation for injection mould from the customers and companies, this paper presents a web-based cost estimation system of injection mould which can aid mould designers to evaluate the different design alternatives, implement the collaborative development of injection mould, and provide a reference for mould quotation. The overall architecture of the system based on a logical structure of four layers is established. Approach to cost estimation for injection mould is described in detail. Furthermore, a java-enabled solution together with the JESS 4.4 expert system shell and Microsoft Access 2000 is employed to develop such a networked cost estimation system. Finally, an actual example is given to demonstrate the use of the online cost estimation system of injection mould. The practical results from engineering application indicate the system can provide an effective and feasible tool to aid the evaluation of design alternatives and price quotation at the early development stages of injection mould.
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Dissertations / Theses on the topic "Java Expert System Shell"

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Kollu, Kavya. "PROTOTYPE OF AN INTELLIGENT TUTORING SYSTEM USING THE JAVA EXPERT SYSTEM SHELL." Master's thesis, Temple University Libraries, 2011. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/118314.

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Electrical Engineering<br>M.S.E.<br>In a technology driven world, efforts are being made to make education/learning available to individuals at any time with no compromise in the quality of teaching/training. To make learning flexible, different techniques such as distributing learning material, uploading audio lectures on the web, and creating intelligent tutoring systems (ITS) are being used. The technique considered here is an adaptive ITS, a system that replicates the learning that occurs in a student teacher relationship. This thesis develops an adaptive intelligent tutoring system architecture prototype where the addition, modification and removal of educational material are relatively easy. The resulting software will take into account: the goals of the specific educational experience, the concepts to be covered, the preferred learning style of the student, measures to detect misuse of the system functionality, behavior based on the student's performance and the generation of hint sequences and feedback messages to improve learning gain. The system will accomplish these objectives by assessing the student's prior knowledge level, observing the actions performed by the student and by adapting to his/her learning abilities. The ITS will attempt to be more intelligent by performing some actions traditionally done by a human teacher - such as diagnosing misconceptions, identifying the most suitable learning style, stressing concepts that the student is finding difficult to understand, switching back to the learning material if the student shows no improvement after a set of trials. The system makes sure that the student is getting feedback where appropriate. Using this prototype system, the student will be tutored to acquire declarative knowledge. A problem based learning (PBL) approach will be used to strengthen the acquired knowledge by providing a high degree of personal attention to the student. To show how the prototype system works, an example of analysis of a control system problem using bode plot technique will be used to assist the student in using the technique to perform the stability analysis of an analog, linear, time-invariant control system problems and to recommend a controller to attain stability (if the system is not stable). Ideas of porting the system from standalone to web-based architecture and features required for collaborative learning will be discussed and an architecture for a web-based tutoring system for supporting multiple students enabling communication between students and sharing data among them will be proposed.<br>Temple University--Theses
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Shesham, Sriharsha. "Integrating Expert System and Geographic Information System for Spatial Decision Making." TopSCHOLAR®, 2012. http://digitalcommons.wku.edu/theses/1216.

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Spatial decision making is a process of providing an effective solution for a problem that encompasses semi-structured spatial data. It is a challenging task which involves various factors to consider. For example, in order to build a new industry, an appropriate site must be selected for which several factors have to be taken into consideration. Some of the factors, which can affect the decision in this particular case, are air pollution, noise pollution, and distance from living areas, which makes the decision difficult. The geographic information systems (GIS) and the expert systems (ES) have many advantages in solving problems in their prospective areas. Integrating these two systems will benefit in solving spatial decision making problems. In the past, many researchers have proposed integrating systems which extracts the data from the GIS and saves it in the database for decision making. Most of the frameworks which have been developed were system dependent and are not properly structured. So it is difficult to search the data. This thesis proposes a framework which extracts the GIS data and processes it with the help of ES decision making capabilities to solve the spatial decision making problem. This framework is named GeoFilter. This research classifies various types of mechanisms that can be used to integrate these two systems.
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Amjad, Fahd. "Approche ontologie pour l'intégration des entreprises distribuées." Thesis, Université de Lorraine, 2012. http://www.theses.fr/2012LORR0334/document.

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Dans cette thèse, nous fournissons un examen complet des technologies du Web sémantique et de leurs utilités dans le contexte actuel des petites et moyennes entreprises (PME). Les approches traditionnelles d'intégration des entreprises favorisent essentiellement les grandes entités. Les obligations contractuelles fortes sur les PME, mais en même temps leur volonté de garder leurs compétences individuelles, et ce, dans un environnement limitant leur choix, les obligent à prendre des décisions stratégiques et de conclure des accords sur le long terme avec leurs partenaires, limitant ainsi leur flexibilité aux fluctuations du marché. Nous proposons, donc, une approche ontologique basée sur Web sémantique pour l'intégration de l'information ainsi que des ressources matérielles de l'entreprise distribuée. Cette approche, basée sur le Web, agit comme un système d'aide à la décision pour utiliser des ressources de meilleure qualité ainsi que pour l'intégration de l'information distribuée. Les travaux relatifs à l'ontologie web, pour l'intégration d'information ne sont pas nouveaux, mais l'approche proposée par nous est une valeur ajoutée pour l'entreprise distribuée. De plus, nous avons également proposé l'ontologie Web sémantique comme un système de configuration pour gérer les ressources distribuées de l'entreprise virtuelle. Puis, nous avons modélisé l'ontologie OWL-DL en nous basant sur la sémantique de la norme ISA-95, relative à l'intégration d'entreprises industrielles. Ensuite, nous utilisons cet artefact ontologique comme un artefact de configuration permettant de gérer le matériel de l'entreprise virtuelle distribuée ainsi que les ressources matérielles. C'est la proposition principale de cette thèse : utiliser l'ontologie Web sémantique comme un système d'aide à la décision pour la configuration de l'utilisation des ressources<br>In this thesis, we have provided a complete review of the semantic web technologies and their corresponding utility in the current environment for small to medium sized enterprise (MSE). The traditional approaches to enterprise integration favour large enterprise entities and force contractual limitations on smaller partners, but at the same time the pressure to guard the individual enterprise competence is ever increasing, the distributed enterprise (MSE) in such an environment have limited number of choices, which forces them to make strategic decisions and enter into a long term agreements with their partners and this limits their flexibility to the market changes. We, in this thesis, propose a semantic web based ontology approach for integrating the information as well as physical resource of the distributed enterprise. This web based approach acts as a decision support for better resources utility as well as distributed information integration. The work related to web ontology?s for information integration is not new, but the approach proposed in this thesis for distributed enterprise is an added value. Similarly, we have also proposed semantic web ontology as a configuration system to manage the distributed resources of the virtual enterprise, for this we have modelled OWL-DL ontology on the semantic of the industrial integration standard ISA-95, and subsequently used this ontology artefact as a configuration artefact to manage the distributed virtual enterprise material and equipment resources this is the main proposition of the thesis of utilizing semantic web ontology as resource configuration decision support
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Sachdev, Sharad. "Temporal expert system shell." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ33826.pdf.

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Bradshaw, John. "The P.R.O. expert system shell." Thesis, Rhodes University, 1987. http://hdl.handle.net/10962/d1006302.

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This thesis reports the research which led to the development of the P.R .O. Expert System Shell. The P.R.O . System is primarily, though not exclusively , designed for use in ecological domains. In the light of two specific expert systems, The RCS (River Conservation Status) and the Aquaculture Systems, which were developed as part of this research, a number of areas of importance have been identified. The most significant of these is the need to handle uncertainty effectively. The style of knowledge representation to be implemented also plays an important role. After consulting the relevant literature and the available microcomputer expert system shells, a number of ideas have been included in the P.R.O. System. The P.R.O . System is a backward chaining, production system based expert system shell. It embodies a simple but effective method of handling uncertainty. An important feature of this method is that it takes cognizance of the different relative importances of the conditions which need to be satisfied before a conclusion can be reached. The knowledge base consists of more than rules and questions. It also contains meta-knowledge, which is used by the inference engine. The P.R.O. System has been designed to be of practical use. Its strongest recommendations are therefore, that the two non-trivial systems which have been implemented in it, have been accepted by the experts and their peers as systems which produce good, accurate answers .<br>KMBT_363<br>Adobe Acrobat 9.53 Paper Capture Plug-in
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St, Jacques Robert J. "XESS : the XML expert system shell /." Online version of thesis, 2008. http://hdl.handle.net/1850/7518.

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Salim, Juliani Susanti. "An expert system shell for processing logic grammars." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/24912.

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Many expert systems have been developed over the past decades. ProGrammar is a modest expert system shell that has been developed recently. It is built on top of the CProlog/UNIX* system running on a VAX† 11/750. ProGrammar is designed for processing and developing grammars. It can also be used as a knowledge base constructor for other fields besides grammars, a learning tool, a Prolog interpreter, and as a consulting system. ProGrammar is an interactive system meaning not only can the user query ProGrammar but ProGrammar also can question the user. The user is allowed to request an explanation from the ProGrammar on how the solution to the query was derived.<br>Science, Faculty of<br>Computer Science, Department of<br>Graduate
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Mahmoud, Shaiba Hussan Ibrahim. "A hybrid expert system shell for woven fabric engineering design." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499844.

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Huang, Yueh-Min 1960. "Building an expert system shell for design model synthesis in logic programming." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276597.

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This thesis implemented a prototype of an expert system shell for support of engineering design activities in the way of logic programming. The development of the system is based on the theoretical framework for knowledge-based system design and the formal modeling concepts. Under the above methodologies, two knowledge representations, production rule system and system entity structure, are incorporated into the knowledge base for figuring design structures. Here the production system scheme is employed for synthesis of design models represented in the system entity structure. The whole system is coded in Turbo Prolog and a specific domain knowledge, namely a local area network, is currently used as a testbed environment.
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Swaan, Arons Henk de. "Delfi design, development and applicability of expert system shells /." Delft : Delft University Press, 1991. http://books.google.com/books?id=2NZQAAAAMAAJ.

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Thesis (doctoral)--Technische Universiteit Delft, 1991.<br>Summary and vita in Dutch and English; "stellingen" in Dutch. "Stellingen" inserted. Includes bibliographical references (p. 227-252) and index.
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Books on the topic "Java Expert System Shell"

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Chan, Ann Shuk Kwan. Evaluating expert system shell for accounting applications. The Author], 1991.

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Uprichard, Jim. Development of a rule-based expert system shell. The Author], 1990.

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Valley, Karen. Designing an expert system shell for use in education. Dept. of Artificial Intelligence, Universityof Edinburgh, 1988.

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Mockler, R. J. Developing knowledge-based systems using an expert system shell. Macmillan Pub. Co., 1992.

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Mockler, Robert J. Developing knowledge-based systems using an expert systems shell. Macmillan Pub. Co., 1992.

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Steve, Parker. Shell scripting: Expert recipes for Linux, Bash, and more. John Wiley & Sons, 2011.

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Andrew, Parkin. Addition of probabilistic inferencing to an expert system shell based on decision tables. Leicester Polytechnic, Centre for Applied Research in Information Systems, School of Mathematics, Computing and Statistics, 1985.

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Currans, Kevin. EXE, an expert system shell for agricutural applications. 1988.

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Jens, Pohl, ed. Knowledge-based CAAD and the CLIPS expert system shell. California Polytechnic State University, School of Architecture and Environment Design, CAD Research Unit, 1990.

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United States. National Aeronautics and Space Administration., ed. An Expert system shell for inferring the vegetation characteristics. National Aeronautics and Space Administration, 1993.

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Book chapters on the topic "Java Expert System Shell"

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Weik, Martin H. "expert system shell." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_6581.

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Tano, Shun’ichi. "Fuzzy Expert System Shell." In Applied Research in Fuzzy Technology. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2770-1_9.

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Ecke-Schüth, Johannes. "KESS: A hybrid expert system shell." In Hector Heterogeneous Computers Together A Joint Project of IBM and the University of Karlsruhe. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73574-5_24.

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Vokroj, P. "Expert Like System for Cylindrical Shell Support." In Contact Loading and Local Effects in Thin-walled Plated and Shell Structures. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-662-02822-3_9.

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Luo, Zhiyuan, and Alex Gammerman. "PRESS—A probabilistic reasoning expert system shell." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/3-540-54659-6_94.

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Vraneš, Sanja. "Expert System Shell Flexibility: Best Case Study." In Engineering Systems with Intelligence. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-2560-4_3.

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Lucas, P. J. F., and H. de Swaan Arons. "Extensions to the Expert System Shell DELFI-2." In Expert Systems and Artificial Intelligence in Decision Support Systems. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3805-2_12.

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Gazdik, Igor. "RELSHELL: An Expert System Shell for Fault Diagnosis." In System Fault Diagnostics, Reliability and Related Knowledge-Based Approaches. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3931-8_9.

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Widmer, Gerhard, and Werner Horn. "VIE-PCX — Ein Expert System Shell für den PC." In Österreichische Artificial Intelligence-Tagung. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-46552-9_5.

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Przystałka, Piotr, Wojciech Moczulski, Anna Timofiejczuk, Mateusz Kalisch, and Marek Sikora. "Development of Expert System Shell for Coal Mining Industry." In Applied Condition Monitoring. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20463-5_25.

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Conference papers on the topic "Java Expert System Shell"

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Morais, Luis César Dias, Celso De Renna E Souza, and Sérgio Roberto Matiello Pellegrino. "Uma Proposta para Gerência Pró-Ativa em Redes Utilizando Agentes Inteligentes Hierarquicamente Distribuídos." In III Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação, 2006. http://dx.doi.org/10.5753/sbsi.2006.14753.

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Este artigo pretende descrever a criação de uma sociedade de agentes inteligentes hierarquicamente distribuídos, incumbidos de prover gerência pró-ativa a redes de computadores baseadas no padrão Ethernet, quando utilizando protocolos da camada de aplicação. Para que isto fosse possível são descritas as formas de como informações fornecidas pelas MIBs (Management Information Base) RMON2 (Remote Monitoring 2), SNMPv2 (Simple Network Management Protocol Version 2) entre outras foram concatenadas à técnicas de IA (Inteligência Artificial), IAD (Inteligência Artificial Distribuída) e SE (Sistemas Especialistas), que juntamente com a Linguagem Java e o Shell JESS (Java Expert System Shell) solucionaram de maneira eficaz diversos problemas comuns a redes.
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Turksen, I. B., Tanju Yurtsever, and K. Demirli. "Fuzzy expert system shell for scheduling." In Optical Tools for Manufacturing and Advanced Automation, edited by Bruno Bosacchi and James C. Bezdek. SPIE, 1993. http://dx.doi.org/10.1117/12.165037.

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Chu, Wei-Han. "Generic expert system shell for diagnostic reasoning." In the first international conference. ACM Press, 1988. http://dx.doi.org/10.1145/51909.51910.

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Islam, S. N. "ShellAg: Expert System Shell for Agricultural Crops." In 2013 International Conference on Cloud & Ubiquitous Computing & Emerging Technologies (CUBE). IEEE, 2013. http://dx.doi.org/10.1109/cube.2013.24.

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Hao, Bo, Dewei Dong, and Huijing Zhao. "Expert System Shell Based on Forward Deduction Algorithm." In 2009 International Workshop on Intelligent Systems and Applications. IEEE, 2009. http://dx.doi.org/10.1109/iwisa.2009.5072859.

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Khorasani, Elham S., Shahram Rahimi, Purvag Patel, and Daniel Houle. "CWJess: An expert system shell for computing with words." In 2011 IEEE International Conference on Information Reuse & Integration (IRI 2011). IEEE, 2011. http://dx.doi.org/10.1109/iri.2011.6009580.

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Heping Li. "An expert system shell for transmission network alarm processing." In Fourth International Conference on Power System Control and Management. IEE, 1996. http://dx.doi.org/10.1049/cp:19960253.

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Mayadevi, N., S. S. Vinodchandra, and S. Ushakumari. "Failure forecast engine for power plant expert system shell." In 2012 IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT). IEEE, 2012. http://dx.doi.org/10.1109/icaccct.2012.6320807.

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Mathkour, Hassan, Israa Al-Turaiki, and Ameur Touir. "The Development of an Arabized Fuzzy Expert System Shell." In 2009 International Conference on Information Management and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icime.2009.100.

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Riedesel, J. D. "An object oriented model for expert system shell design." In Ninth Annual International Phoenix Conference on Computers and Communications. 1990 Conference Proceedings. IEEE, 1990. http://dx.doi.org/10.1109/pccc.1990.101688.

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Reports on the topic "Java Expert System Shell"

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Friedman-Hill, E. J. Jess, the Java expert system shell. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/565603.

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Osella, Stephen A. Expert Control System Shell, version 1.0:. National Institute of Standards and Technology, 1995. http://dx.doi.org/10.6028/nist.ir.5601.

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Pan, Juiyao, Guilherme N. DeSouza, and Avinash C. Kak. FuzzyShell: A Large-Scale Expert System Shell Using Fuzzy Logic for Uncertainty Reasoning. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada335107.

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Kaetzel, L. J., J. R. Clifton, and D. P. Bentz. Integrating knowledge for the identification of cracks in concrete using an expert system shell and extensions. National Institute of Standards and Technology, 1989. http://dx.doi.org/10.6028/nist.ir.89-4206.

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