• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 19-21 Oct. 1992
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• pp.370-375
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• 1992

This paper deals with the scheduling and simulation for FMC(Flexible Manufacturing Cells). In order to achieve CIM, there is a critical need to link factory level and machine level. The primary functions performed by this link for all jobs issued to the shop floor and cell include short-term scheduling and dynamic operational scheduling. Here, hierarchical control structure is introduced to define these functions. And Intelligent scheduling through expert module is adopted for efficiency of FMC operation. Computer simulation reveals that expert scheduling method is better than heuristics in various performance index.

• 한국반도체및디스플레이장비학회:학술대회논문집
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• 한국반도체및디스플레이장비학회 2003년도 추계학술대회 발표 논문집
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• pp.154-159
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• 2003

Semiconductor chip encapsulation process is employed to protect the chip and to achieve optimal performance of the chip. Expert decision-making to obtain the appropriate package design or process conditions with high yields and high productivity is quite difficult. In this paper, an expert system for semiconductor chip encapsulation has been constructed which combines a knowledge-based system with CAE software.

• 지능정보연구
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• 제4권2호
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• pp.117-128
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• 1998

CBR is a knowledge-based system that utilizes the previous knowledge or experience to solve the current problem. In previous CBR research, the emphases are mainly put on the development of more sophisticated indexing mechanism for past cases or the most similar case retrieving methodology out of a group of previous cases. In this paper, discussed is a CBR system that is able to take advantage of the case or knowledge that does not belong to the past in the telecommunications internetworking design area. And the architecture for such CBR system is proposed. Finally, the performance of the CBR system is shown through an ablation experiment.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.1074-1077
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• 1993

The objective of this paper is to develop a fuzzy logic based decision-making system to detect low current faults using multiple detection algorithms. This fuzzy system utilizes a fuzzy expert model which executes an operation without complicated mathematical models. This fuzzy system decides the performance weights of the detection algorithms. The weights and the turnouts of the detection algorithms discriminate faults from normal events. This system can also be a generic group decision-making tool for other areas of power system protection.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 추계학술대회 논문집 학회본부 A
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• pp.110-112
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• 1999

Recently the substation automation is actively researched at each country. Since the substation automation is an integrated system that consist of electrical, electronic and computer technologies, performance evaluation is very important to inspect the developed system's applicable possibility for real power system. Most studies are verified using computer simulation, because it is hard to apply them to real power systems. Therefore development of a substation simulator is necessary for the performance evaluation of many application systems such as operator aid system. This paper introduces a substation simulator. An intelligent fault diagnosis and restorative control expert system is also introduced UDP/IP is applied as a protocol for data transport between expert system and SC(station computer). As to the Graphic User Interface, C++ Language and Visual Basic is used in the Windows NT operating system together with four Pentium II systems.

• 감성과학
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• 제12권1호
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• pp.55-64
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• 2009

기존의 전문성 연구들은 참가자들에게 일상적인 과제를 수행하게 함으로써 전문가와 초보자들의 차이를 알아보고자 하였다. 하지만, 본 연구는 일상적 비행 상황에 익숙해진 조종사들이 이전에 경험해보지 못한 새로운 비행 상황에서도 유연하게 대처할 수 있는지 알아보고자 하였다. 즉, 조종사의 숙련정도에 따라 정상적 및 비정상적 상황에서의 상황인식 능력이 차이가 나는지 관찰하였고 추가적으로, 전문성이 자극 제시 시간에 따른 수행변화에 영향을 주는지 알아보았다. 이를 위해 42명의 조종사들을 전문성의 정도에 따라 초보자와 전문가 집단으로 나누고 이들의 수행이 상황의 특수성 및 자극 제시 시간에 따라 어떻게 달라지는지 알아보았다. 연구를 위하여 조종실 계기판을 모방한 동영상이 제작되었는데, 동영상에 보여지는 계기판들이 모두 정상으로 움직이는 정상적 상황과 이들 중 하나의 계기가 오작동을 일으키는 비정상 상황이 연출되었다. 또한 상황을 지각하기 위한 시간의 차이가 전문성에 따라 다른 효과를 가져오는지 살펴보기 위해서 계기판 상황이 오랫동안 제시되는 긴 제시 조건과 상대적으로 짧게 제시되는 조건으로 조작되었다. 실험 결과, 정상적인 상황에서는 초보자와 전문가 집단 사이의 상황 인식이 유의한 차이가 없었으나, 비정상적인 상황에서는 전문가 집단의 상황인식이 초보자 집단보다 유의하게 높은 것으로 나타났다. 또한, 비행 상황의 제시 시간이 짧아졌을 때 조종사들의 전반적인 상황인식 정확도가 떨어졌지만, 전문가와 초보자의 수행차이는 변함없이 초보자 집단에 비해 전문가 집단의 높은 수행이 유지되었다. 비행 상황의 특수성과 제시 시간의 상호작용에 따라 초보자와 전문가의 상황인식은 어떻게 달라지는지 보았을 때, 비행 상황의 제시 시간이 길고 짧음에 관계없이 정상적 상황에서는 초보자와 전문가 집단의 상황인식 차이가 나타나지 않았으나, 비정상적 상황에서는 전문가 집단의 상황인식 정확도가 초보자 집단 보다 유의하게 높은 것으로 나타났다. 전반적으로 볼 때, 비정상적 상황은 전문가 집단의 수행에 미치는 영향에는 큰 영향을 미치니 못하나 초보자 집단의 수행에는 현저한 영향을 미치는 것으로 나타났다.

• 임상간호연구
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• 제14권1호
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• pp.71-84
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• 2008

Purpose: The purpose of this study was to develop a performance tool to evaluate operating room nurses. Method: In the first stage, 59 preliminary items were selected after two focus group meetings were carried out using as background a reference review. At this stage 59 items were developed. Next, the selected preliminary items were modified by an expert group of nurses with over 10 years experience, nurses holding doctoral degrees and professors in nursing. In the third and fourth stage, these items were analyzed by the expert group to determine validity and tested by hospital nurses with over 10 years experience to determine reliability Results: For the final tool, the 59 items, 47 items for the performance evaluation dimension and 12 items for the competence evaluation dimension were found to be valid and reliable. Cronbach's $\alpha$ was .9622, a promising alpha value for the total instrument. Conclusion: This tool is an efficient performance evaluation instrument providing meaningful feedback for operating room nurses.

• 한국태양에너지학회 논문집
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• 제27권3호
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• pp.107-115
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• 2007

The measured solar radiation incident on tilted surfaces has been widely used as important solar radiation data in installing photovoltaic arrays. To optimize the incident solar radiation, the slope, that is the angle between the plane surface in question and the horizontal, and the solar azimuth angles are needed for these solar photovoltaic systems. This is because the performance of the solar photovoltaic systems is much affected by angle and direction of incident rays. The expert system can predict the optimum installation angle of photovoltaic arrays with those factors.

• 산업경영시스템학회지
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• 제24권66호
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• pp.1-10
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• 2001

Simulation-Based Expert System(SIMBES) is a very effective tool to solve complex antral hard problems. The SIMBES model includes a simulator, a feature extractor, a machine learning system, a performance evaluator, and a Knowledge-Based Expert System(KBES). Since SIMBES depends on Problem domains, a schedule-based material requirements planning problem, which is NP-hard, was selected to exemplify the SIMBES model. To implement the SIMBES application in Smalltalk paradigm, a system class hierarchy was constructed. The hierarchy consists of five large classes such as Job Generator, Job Scheduler, Job Evaluator, Inference Engine, and Executive System. Several classes inside these classes were identified. Additionally, instance protocols about all classes have been described in terms of messages and pseudo methods. These protocols can be implemented easily by any other object-oriented languages. Furthermore, these results may be used as a skeletal system to develop a new SIMBES efficiently, especially when the application is related to other scheduling problems.

• 산업공학
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• 제7권1호
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• pp.81-91
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• 1994

Simulation is one of the most widely used techniques in operations research and management science, but there are several impediments to even wider acceptance and use of simulation. One of the more significant limitations is the dependence of simulation on statistical methodology. This research identifies eighteen different statistical issues in simulation methodology and develops an expert system which could through interactive dialog with simulation analysts offer advice on statistical approaches which might be used to deal with particular issues and to accomplish required statistical computations. This research revises the previous study published in Simulation by incorporating additional statistical issues in the expert system to enhance its performance in analyzing a given simulation problem with statistical methodologies. An overview of the revised system is given and illustrations of the capabilities of the system are presented.