• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.75-80
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• 2005

A design for the front section of an excavator requires kinematic and kinetic mechanism consideration for several configurations. Key parameters for an appropriate configuration can be obtained through a mechanical verification and numerical formulation with a design expert's know-how. In this paper, we propose a knowledge-based system with an expert-shell(CATIA) and Visual Basic to assist for the design of the front section of an excavator. The designers can achieve more efficient design through a CAD model, implemented design knowledge, and a user friendly interface. The implemented design knowledge is retrieved through the whole design process from an early design stage to a detailed design stage based on the multiple levels of abstraction scheme.

• The KIPS Transactions:PartD
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• v.11D no.1
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• pp.241-246
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• 2004

The importance of electronic commerce system has been growing rapidly due to development of information technology and acceleration of enterprise e-business. Electronic commerce system must provide convenient interface, easy and fast searching function, and product information satisfied customer's. A study about the system that used a reasoning technique and an Agent technology for this is required. In this paper, we designs electronic commerce system with customer preference and sales agent which is composed of case-based reasoning and rule-based reasoning for high customer satisfaction. Also, we were shown on an appropriateness of a proposal system by an experiment.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2002.04a
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• pp.319-326
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• 2002

A p-version finite element model based on degenerate shell element is proposed for the analysis of orthotropic laminated plates. In the nonlinear formulation of the model, the total Lagrangian formulation is adopted with large deflection and moderate rotation being accounted for in the sense of von Karman hypothesis. The material model Is based on the Huber-Mises yield criterion and Prandtl-Reuss flow rule in accordance with the theory of strain hardening yield function, which is generalized for anisotropic materials by introducing the parameters of anisotropy. The model is also based on extension of equivalent-single layer laminate theory(ESL theory) with shear deformation, leading to continuous shear strain at the interface of two layers. The Integrals of Legendre Polynomials we used for shape functions with p-level varying from 1 to 10. Gauss-Lobatto numerical quadrature is used to calculate the stresses at the nodal points instead of Gauss points. The validity of the proposed p-version finite element model is demonstrated through several comparative points of view in terms of ultimate load, convergence characteristics, nonlinear effect, and shape of plastic zone

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.54 no.9
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• pp.531-538
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• 2005

This paper proposes an expert system which is able to enhance the accuracy and productivity by determining the test strategy based on heuristic rules for test of the hybrid electronic circuit board producted massively in production line. The test heuristic rules are obtained from test system designer, test experts and experimental results. The guarding method separating the tested device with circumference circuit of the device is adopted to enhance the accuracy of measurements in the test of analog devices. This guarding method can reduce the error occurring due to the voltage drop in both the signal input line and the measuring line by utilizing heuristic rules considering the device impedance and the parallel impedance. Also, PSA(Parallel Signature Analysis) technique Is applied for test of the digital devices and circuits. In the PSA technique, the real-time test of the high integrated device is possible by minimizing the test time forcing n bit output stream from the tested device to LFSR continuously. It is implemented in Visual C++ computer language for the purpose of the implementation of the inference engine using the dynamic memory allocation technique, the interface with the electronic circuit database and the hardware direct control. Finally, the effectiveness of the builded expert system is proved by simulating the several faults occurring in the mounting process the electronic devices to the surface of PCB for a typical hybrid electronic board and by identifying the results.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.11
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• pp.1457-1463
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• 1999

This paper develops an real-time expert system for the electronic interlocking system. it obtains the higher safety by determining the railway interlocking strategy in order to prevent trains from colliding, and derailing in the viewpoint of veteran expert, considering the situation of station in real-time. The expert system determines the real-time interlocking strategy by confirming the interlocking relationships among signal facilities based on the interlocking knowledge base from input information such as signal, points, and it is implemented as the rule-based system in order to represented accurately and effectively the interlocking relationships. Especially in case of emergency the function which determines the rational route coordinating with IIKBAG on the workstation is designed in order to minimize the spreading effect. It is implemented in C computer language for the purpose of the implementation of the inference engine using the dynamic memory allocation technique, the build and interface of the station structure database. And, the validity of the built expert system is proved by simulating the diversity cases which may occur in the real system for the typical station model.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.16 no.5
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• pp.390-396
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• 2003

As the design rule of device continued to shrink, the contact resistance in small contact size became important. Although the conventional TiN/Ti structure as a ohmic layer has been widely used, we propose a new TiN/Co film structure. We characterized a contact resistance by using a chain pattern and a KELVIN pattern, and a leakage current determined by current-voltage measurements. Moreover, the microstructure of TiN/ Ti/ silicide/n$\^$+/ contact was investigated by a cross-sectional transmission electron microscope (TEM). The contact resistance by the Co ohmic layer showed the decrease of 26 % compared to that of a Ti ohmic layer in the chain resistance, and 50 ％ in KELYIN resistance, respectively. A Co ohmic layer shows enough ohmic behaviors comparable to the Ti ohmic layer, while higher leakage currents in wide area pattern than Ti ohmic layer. We confirmed that an uniform silicide thickness and a good interface roughness were able to be achieved in a CoSi$_2$ Process formed on a n$\^$+/ silicon junction from TEM images.

• Journal of Korean Institute of Industrial Engineers
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• v.18 no.1
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• pp.105-120
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• 1992

An expert system was developed as a framework of integrating diverse and multifactored ergonomic knowledge to investigate its effectiveness in ergonomic workplace design and evolution. Although numerous computer-assisted approaches have been made to overcome the lack of integrated design principles, those models being used require very specific information of various design activities that may not be available in the design stage. On the other hand, an expert system would be an effective design aid that is capable of guiding the designer to solve a problem. However, most expert systems lack detailed evaluation capabilities due to a qualitative nature of inference mechanisms. Furthermore, those approaches were independently developed, focusing mostly on a single aspect such as biomechanics, physiology, etc. In this paper, a design framework was developed which takes advantage of expert system metholologies, a relational data base and existing ergonomic models. The pattern-directed, rule-based expert system allows the designer to gradually formulate and subsequently evaluate workplace design. A comprehensive and modularized knowledge base was built incorporating biomechanics, physiology and psychophysics, which is, in turn, capable of accessing not only qualitative knowledge but complex analytic evaluation models and massive information in the data base through an interface. A conflict resolution strategy using multiple criteria decision-making schemes was also employed to reconcile multiple design alternatives.

• The Journal of the Korea Contents Association
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• v.9 no.6
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• pp.45-52
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• 2009

Recently, we started a project development of the digital expert system for the product design supporting in manufacturing industry. This digital expert system is used to the engineers in manufacturing industry for the process control, production management and system management. In this paper, we develop the ontology based inference engine shell for building of expert system. This expert system shell included a various functions which of Korean language supporting, graphical ontology map modeling interface, fuzzy rule definition function and etc. And, we introduce the knowledge representation method for the ontology map building and ontology based fuzzy inferencing method.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.374-374
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• 2018

프로그래밍 언어로 개발된 프로그램들은 최종 사용자 입장에서 입력과 출력이 불편하다. 또한, 모의 결과를 분석하기 위하여 그래프를 작성하는 소프트웨어를 이용하면 시간이 오래 걸린다. 본 연구에서는 기 개발된 용수 감량공급 기준곡선을 반영한 단일 댐 모의 운영 모형을 최종 사용자가 쉽게 활용할 수 있도록 사용자 편의 환경을 개발한 것에 대해 소개하고자 한다. 용수 감량공급 기준곡선을 반영한 단일 댐 모의 운영의 사용자 편의 환경은 미국의 GoldSim Technology Group에서 개발한 GoldSim을 이용하여 개발하였다. 개발된 사용자 편의 환경에는 단일 댐 모의 운영에 필요한 여러 입력 자료를 쉽게 입력할 수 있도록 하였다. 단일 댐 모의 운영 입력 자료에는 월별 기본계획공급량, 가뭄 단계별 용수 감량공급 비율, 과거 유입량 시계열, 갈수 빈도 유입량 시계열, 가뭄 단계별 감량공급 실행 저수량, 초기 저수량, 저수용량 등이 있다. 개발된 모형의 초기값은 합천댐의 자료가 입력되어 있으나, 입력자료를 변경하여 다른 다목적댐의 모의 운영에 활용이 가능하다. 단일 댐 모의 운영 결과로서 모의 기간 내 발생한 용수별 용수 공급 부족량과 감량공급 일수를 확인가능하다. 또한, 단일 댐 모의 운영 결과를 다양한 그래프로 출력 할 수 있다. 출력 가능한 시계열 그래프는 사용자가 입력한 용수 감량공급 기준곡선, 모의 시 사용한 유입량 시계열, 가뭄 단계, 용수 공급량, 저수량이다. 연구의 사례와 같이 GoldSim을 활용하면 연구개발의 편의 환경을 별도의 편의 환경 개발자를 거치지안고 과학 기술자가 직접 개발할 수 있다.

• Journal of Integrative Natural Science
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• v.11 no.4
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• pp.167-183
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• 2018

Electroencephalogram (EEG) recording provides a new way to support human-machine communication. It gives us an opportunity to analyze the neuro-dynamics of human cognition. Machine learning is a powerful for the EEG classification. In addition, machine learning can compensate for high variability of EEG when analyzing data in real time. However, the optimal EEG electrode location must be prioritized in order to extract the most relevant features from brain wave data. In this paper, we propose an intelligent system model for the extraction of EEG data by training the optimal electrode location of EEG in a specific problem. The proposed system is basically a fuzzy system and uses a neural network structurally. The fuzzy clustering method is used to determine the optimal number of fuzzy rules using the features extracted from the EEG data. The parameters and weight values found in the process of determining the number of rules determined here must be tuned for optimization in the learning process. Genetic algorithms are used to obtain optimized parameters. We present useful results by using optimal rule numbers and non - symmetric membership function using EEG data for four movements with the right arm through various experiments.