• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.04a
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• pp.724-728
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• 1997

A CAD system of grid element for vacuum fluorescent disply has been developed. In order to reduce design man-houre and human erros, it is used to automate the design process using a knowledge base system. In the case of VFD product design, the most important consideration is the short-life cycle. So the development of CAD system for VFD product is needed. The developed system is based on the knowledge base system which is involved in a lot of expert's technology in the practice field. Using C-language under the HP-UNIX system, CIS customer language of the EXCESS CAD/CAM is used as the overall CAD environment. Results of this system will provide effective aids to the designer in this field

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.3
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• pp.246-256
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• 2005

Rule-based paradigm is one of the principal types of software process modeling and enaction approaches, as they provide formality and flexibility sufficient to handle complex processes. However, the systems adopting rule-based paradigms are hard to define and understand process models, and their inference engine should be modified or redeveloped at worst according to the change of process language. In this paper, we describe a rule-based PSEE(Process-Centered Software Engineering Environment) PRAiSE that solves the above limitations of existing rule-based PSEEs as well as maintains the merits of rule-based paradigm such as the ability to incorporate the nature of software processes flexibly in which dynamic changes and parallelism are pervasive and prevalent. PRAiSE provides RAiSE, a graphical Process modeling language, and defined process models are interpreted and enacted by process engine implemented using CLiPS, a rule based expert system tool.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.2 no.2
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• pp.115-119
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• 2001

The design and manufacture of injection molded polymeric parts with desired properties is a costly process dominated by empiricism, including the repeated modification of actual tooling. This paper presents an knowledge-based synthesis system which can predict the mechanical performance of a molded product and diagnose the design before the actual mold is machined. The knowledge-based system synergistically combines a rule-based system with CAE programs. Hueristic know]edge of injection molding. flow simulation, and mechanical performance prediction is formalized as rules of an expert consultation system. The expert system interprets the analytical results of the process simulation, predicts the performance, evaluates the design and generates recommendation for optimal design alternatives.

• Journal of Information Processing Systems
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• v.13 no.6
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• pp.1496-1515
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• 2017

One of the most visible developments in Decision Support Systems (DSS) was the emergence of rule-based expert systems. Hence, despite their success in many sectors, developers of Medical Rule-Based Systems have met several critical problems. Firstly, the rules are related to a clearly stated subject. Secondly, a rule-based system can only learn by updating of its rule-base, since it requires explicit knowledge of the used domain. Solutions to these problems have been sought through improved techniques and tools, improved development paradigms, knowledge modeling languages and ontology, as well as advanced reasoning techniques such as case-based reasoning (CBR) which is well suited to provide decision support in the healthcare setting. However, using CBR reveals some drawbacks, mainly in its interrelated tasks: the retrieval and the adaptation. For the retrieval task, a major drawback raises when several similar cases are found and consequently several solutions. Hence, a choice for the best solution must be done. To overcome these limitations, numerous useful works related to the retrieval task were conducted with simple and convenient procedures or by combining CBR with other techniques. Through this paper, we provide a combining approach using the multi-criteria analysis (MCA) to help, the traditional retrieval task of CBR, in choosing the best solution. Afterwards, we integrate this approach in a decision model to support medical decision. We present, also, some preliminary results and suggestions to extend our approach.

• Transactions of Materials Processing
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• v.7 no.3
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• pp.291-297
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• 1998

A forging product in general is made through buster blocker and finisher processes. The dies used in these processes are designed by experienced forging engineers. In the present study an expert system is developed for the finisher die design of axisymmetric hot steel forging. It is a rule based system written in Fortran and AutoLISp operating on a personal computer. In this paper major rules consid-ered in the system are summarized and the capabilities of the system are examined through several examples.

• Transactions of Materials Processing
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• v.7 no.3
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• pp.298-305
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• 1998

In hot forging the blocker is a transient shape between the buster and the finisher, In general as the finisher shape becomes complicated the blocker design becomes quite difficult. In the present study an expert system is developed for the blocker die design of axisymmetric hot steel forging. It is a rule based system written in Fortran and AutoLISP operating on a personal computer. In this paper the major rules considered in the system are summarized and several blockers designed by the system are discussed with results of rigid viscoplastic finite element analysis.

• Journal of Intelligence and Information Systems
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• v.8 no.1
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• pp.141-157
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• 2002

extensible Markup Language (XML) is a new markup language for data exchange on the Internet. In this paper, we propose a language extensible Rule Markup Language (XRML) which is an extension of XML. The implicit rules embedded in the Web pages should be identifiable, interchangeable with structured rule format, and finally accessible by various applications. It is possible to realize by using XRML. In this light, Web based Knowledge Management Systems (KMS) can be integrated with rule-based expert systems. To meet this end, we propose the six design criteria: Expressional Completeness, Relevance Linkability, Polymorphous Consistency, Applicative Universality, Knowledge Integrability and Interoperability. Furthermore, we propose three components such as RIML (Rule Identification Markup Language), RSML (Rule Structure Markup Language) and RTML (Rule Triggering Markup Language), and the Document Type Definition DTD). We have designed the XRML version 0.5 as illustrated above, and developed its prototype named Form/XRML which is an automated form processing for disbursement of the research fund in the Korea Advanced Institute of Science and Technology (KAISI). Since XRML allows both human and software agent to use the rules, there is huge application potential. We expect that XRML can contribute to the progress of Semantic Web platforms making knowledge management and e-commerce more intelligent. Since there are many emerging research groups and vendors who investigate this issue, it will not take long to see XRML commercial products. Matured XRML applications may change the way of designing information and knowledge systems in the near future.

• Korean Journal of Cognitive Science
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• v.3 no.2
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• pp.329-347
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• 1992

This paper deals with the results of development tools for knowldge base implementation on personal computers which is focused on university's student affairs as the education sector.Tje consultant expert system consists of the inference system which makes the object-oriented inference possible by using the present typical rule-based expert systems organized with inference engine,knowledge base,and user interface the user interface management system providing a variety of interfaces,the knowlege managment system for the efficient management and acquirement of knowledge which is independently constucted,and the object management system for the effective management of these systems. This system's design is the consultant expert system'C-I(Consultant-One),in which users can consult with expert at the use's various points of view and which can be operated on the easily accessible personal compuers. We implemented the Student Affairs Administration Consultation Expert System(SACES)'which constructed the knowledge base for three fields of university student affairs management such as timetable management,curriculum and grade points.

• Journal of the Korean Society for information Management
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• v.11 no.2
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• pp.131-164
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• 1994

This study shows the design and implementation of cataloging expert system using pattern recognition techniques. This system attemps to demonstrate the feasibility of cataloging in KORMARC format from title page and copyright page without the intervention of humans. The prototype was implemented as a rule-based system in Turbo C. To demonstrate the function and capability of the system, experimental document-group and control document-group was analyzed. The hit ratio of experimental document-group is 94%. On the other hand, the hit ratio of control document-group is 93%, a little bit lower than the experimental group.

• International Journal of Korean Welding Society
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• v.1 no.1
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• pp.17-22
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• 2001

Because the quantitative relationships between welding parameters and welding result are not yet blown, optimal values of welding parameters for $CO_2$ robotic arc welding is a difficult task. Using the various artificial data processing methods may solve this difficulty. This research aims to develop an expert system for $CO_2$ robotic arc welding to recommend the optimal values of welding parameters. This system has three main functions. First is the recommendation of reasonable values of welding parameters. For such work, the relationships in between the welding parameters are investigated by the use of regression analysis and fuzzy system. The second is the estimation of bead shape by a neural network system. In this study the welding current voltage, speed, weaving width, and root gap are considered as the main parameters influencing a bead shape. The neural network system uses the 3-layer back-propagation model and a generalized delta rule as teaming algorithm. The last is the optimization of the parameters for the correction of undesirable weld bead. The causalities of undesirable weld bead are represented in the form of rules. The inference engine derives conclusions from these rules. The conclusions give the corrected values of the welding parameters. This expert system was developed as a PC-based system of which can be used for the automatic or semi-automatic $CO_2$ fillet welding with 1.2, 1.4, and 1.6mm diameter the solid wires or flux-cored wires.