• 대한전기학회:학술대회논문집
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• 대한전기학회 1989년도 하계종합학술대회 논문집
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• pp.237-240
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• 1989

This paper deals with the expert system for power system recognition of energized and deenergized system using circuit breaker information. The basic idea is isolating the system with the system matrix representing the system configuration and the states of the circuit breakers. The knowledge base is composed of these isolated systems and decision rules. The isolated system with the sources is recognized as the energized system and the system without the source as the deenergized system. The rules use the system matrix and the the inference scheme is simplified in a great deal. Above all, the overall searching labor of the rules is independent on the system size and it is possible to expand into the real system and the real time restoration can be carried out easily. The expert system is written in PROLOG.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1992년도 하계학술대회 논문집 A
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• pp.161-164
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• 1992

In operation of power systems, operators must solve overloads in abnormal conditions instantaneously for restoring the power system to normal state. Earlier works proposed the power flow distribution and the load shedding decision, developed by the expert system, for settling overloads. This paper presents a method for solving special conditions in the earlier works which requires less amount of loads than that of the load shedding, in particular, of the load shedding considering the priority. This paper uses the effort system to improve the ability of a beginner as well as of trained operators for operating the power system during emergency operation. To prove efficiency of the proposed method, this paper has adopted the model system with 13 bus for obtaining simulation results and used the prolog language to implement the system.

• 한국정밀공학회지
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• 제9권3호
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• pp.53-60
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• 1992

This paper deals with developing an Expert system for tool selection using knowledge base system approach, and its application. For the sake of building of knowledge base, the information from process through sensor, tool handbook and interview with expert are referrenced and managed. The system developed shows good application flexibility in providing the actual cutting process with the selection of tool(insert, holder) and cutting conditions(feed, speed, rake type, and so on), is found as a useful system for real-time machining process. The Expert system for tool selection is written in TURBO PROLOG ver. 2.0 for inference engine capability, and can be run in interactive mode for user friendliness. In order to apply the system developed in actual cutting process, more parameters should be considered and scrutinized, and the system should be further extended in modular basis.

• 지식경영연구
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• 제4권2호
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• pp.55-77
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• 2003

In this study, some issues that are related to embody the original conception and ideal of action learning are explored in terms of misunderstanding and misuse of action learning in Korean corporate context. The conception of action learning is deconstructed through the lens of 'action' and 'learning' concept, followed by conceptual analysis to the nature of 'action' and 'learning'. Based upon this conceptual deconstruction of 'action' and 'learning', this study is conducted to categorize the concept of 'action' and 'learning' into several representative attributes. Categorization of 'action' and 'learning' leads to draw some adjectives, for examples, reflective, dynamic, complex, nonlinear, that are critical for characterizing action learning. That is, the nature and ideal of action learning are critically reviewed with the reconceptualization of 'action' and learning, which are deconstructed. The Discussion of final thoughts is on what kinds of knowledge perspectives action learning holds in comparison with those of knowledge management and on how to facilitate knowledge construction and sharing with action learning.

• 한국통신학회:학술대회논문집
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• 한국통신학회 1991년도 추계종합학술발표회논문집
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• pp.145-149
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• 1991

In this paper, an algorithm is proposed to analyze the approximating reliability of the capacity considered communication networks. In the case ofthe former methods to evaluate the source-to-termianl node reliability, it is very difficult to contract and delete the jointed terms in the simple path group. Therefore, the reliability bounds are used and compared to the exact reliability by TURBO PROLOG, the natural lanquage of artficial intelligence. In the reliability bounds, the upper bound used the valid cutset that isthe group of simple path and the lower bound used the minimal cutset by complement operation and the esact reiability is compared to this reliability bounds.

• 대한전기학회논문지
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• 제39권10호
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• pp.1021-1028
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• 1990

본 논문은 전력계통의 고장진단 전문가시스템에 관한 것으로서 개발된 전문가 시스템은 전력계통에서의 사고 발생시 그 고장구간을 추정하고 보호기기의 오.부작동을 판정하며 이를 통하여 고장의 전파과정을 설명하도록 고안되었으며 또한 사고발생후 취하여질 복구작업에 필수적으로 요구되는 정전구역의 탐색의 효율을 위하여 탐색구간을 제한하였다. 본 전문가 시스템은 포롤로그 언어를 사용하여 구성하였으며 모의계통에 적용하여 그 요 성을 입증하였다. 입증하였다.

• 대한전기학회논문지
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• 제39권2호
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• pp.119-132
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• 1990

To design protection coordination for an electric power distribution system, an expert system is developed, using both the veteran expert's heuristics and the guide book for the distribution facility operation considering feeder configuration, service route, load characteristics fault current and load current. The expert system developed in this papaer determines the type of protective device(clearing current and sequence). The location and rating change of protective device in the old feeder is realized by using old database. Current(T-C) curves of various kinds of protective devices are stored in Knowledge Base (KB). The expert system is developed on a 32 bit personal computer using PROLOG, AutoCAD,dBASEIIIPLUS and FORTRAN. To compute the fault current and loadflow, FORTRAN is used.

• Journal of Welding and Joining
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• 제12권3호
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• pp.71-81
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• 1994

Laser cutting is experiencing a rising worldwide acceptance in the industry. Expert systems are necessary for the systematic arrangement and searching of experimental data existing in journal papers, job handbooks, etc.. This paper proposes an expert system for the selection of the appropriate laser cutting variables from the available database. Optimum cutting conditions according to the given cutting velocity were searched and qualitative comments which are difficult to be used as database variables were shown at each velocity using the binary and fuzzy inference. These comments could be informative to unskilled operators of the laser cutting process. Typical cutting conditions of the mild steel and stainless steel were included and the working range and quality variations were displayed graphically. The proposed algorithm was implemented in an IBM compatible personal computer as an expert system for CO$_{2}$ laser cutting to derive the optimum cutting conditions by using the turbo prolog.

• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 2007년도 정기학술대회
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• pp.249-258
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• 2007

This paper presents an implementation of a gramar of Dynamic Syntax for Japanese. Dynamic Syntax is a grammar formalism which enables a parser to process a sentence in an incremental fashion, establishing the semantic representation. Currently the application of lexical rules and transition rules in Dynamic Syntax is carried out arbitrarily and this leads to inefficient parsing. This paper provides an algorithm of rule application and partitioned parsing state for efficient parsing with special reference to processing Japanese, which is one of head-final languages. At the present stage the parser is still small but can parse scrambled sentences, relative clause constructions, and embedded clauses. The parser is written in Prolog and this paper shows that the parser can process null arguments in a complex sentence in Japanese.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1988년도 전기.전자공학 학술대회 논문집
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• pp.930-933
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• 1988

This paper demonstrates an AI application for representing operator's heuristic knowledges in implementing process control. AI controller constitutes servo and regulatory controller, respectively. The knowledge base for servo controller was designed to obtain the process output with respect to the desired set-point in short period. The regulatory controller was to provide smooth output near the set-point. The AI controllers was implemented in Turbo-PROLOG on IBM-PC. For the parallel processing, Turbo-C was linked to calculate the process output. The result shows that this AI controller can be well suited not only for minimum phase but also for non-minimum phase. This controller may be used as a back-up controller for rather extensive expert system.