• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2017년도 추계학술발표대회
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• pp.831-834
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• 2017

본 논문은 Medical Expert 시스템을 효율적으로 운영하기 위해서 Drools 와 JavaFX기반으로 한 사용자 인터페이스를 설계 및 구현을 한다. 본 Medical Expert System을 구축하기 위하여 Drools의 내부의 구조인 BlackBoard 아키텍처 스타일을 이해하고 JavaFX을 이용하여 Medical Expert 시스템을 설계 및 구현 하였다. 이 시스템의 진행 프로세스는, 설문지 및 환자 진단으로 인해 환자에 대한 증상정보들을 파악 후 미리 정해 둔 rule들에 적용시켜서 그 결과 값을 도출한다. 또한 본 시스템은 JavaFX에 scene builder 이용하여 인터페이스를 구성함으로써 기존의 Swing의 단점을 보완하고 장점을 부각시키도록 구현하였다.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2005년도 춘계학술대회
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• pp.302-305
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• 2005

To comply to demand for a development requirement of aircraft design part, the expert system builds up standard knowledge-base based on presently maintained expert knowledge and experience in aircraft structure material selection. It also builds up database based on aircraft design open data, and standard calculation module used for present design and analysis method. This system is developed using Visual Basic language. The expert system standardize aircraft structure material selection and can be applied to all type of elementary stage of aircraft structure design. It is working on Windows, which has a friendly interface and is convenient for debugging, maintenance and transplanting. Explanation of the structure and the function of the system was given in this paper.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권6호
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• pp.2627-2647
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• 2016

With the rapid growth of microblog, expert identification on microblog has been playing a crucial role in many applications. While most previous expert identification studies only assess global authoritativeness of a user, there is no way to differentiate the authoritativeness in a particular aspect of topics. In this paper, we propose a novel model, which jointly models text and following relationship in the same generative process. Furthermore, we integrate a similarity-based weight scheme into the model to address the popular bias problem, and use followee topic distribution as prior information to make user's topic distribution more precisely. Our empirical study on two large real-world datasets shows that our proposed model produces significantly higher quality results than the prior arts.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2000년도 봄 학술발표회 논문집
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• pp.101-108
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• 2000

In this study, an expert system was developed to predict the safety of tunnel and choose proper tunnel reinforcement system using fuzzy quantification theory and fuzzy inference rule based on tunnel information database. The expert system developed in this study have two main parts named pre-module and post-module. Pre-module decides tunnel information imput items based on the tunnel face mapping information which can be easily obtained in-situ site. Then, using fuzzy quantification theory II, fuzzy membership function is composed and tunnel safety level is inferred through this membership function. The comparison result between the predicted reinforcement system level and measured ones was very similar. In-situ data were obtained in three tunnel sites including subway tunnel under Han river, This system will be very helpful to make the most of in-situ data and suggest proper applicability of tunnel reinforcement system developing more resonable tunnel support method from dependance of some experienced experts for the absent of guide.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2003년도 Proceeding
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• pp.45-49
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• 2003

GDS (Grating automatic Drawing System), which is automatic design system of metal products called grating, is a system that produces various detailed drawings on the basis of information within a Plan Drawing that represents layout of the gratings such as locations, shapes, directions, etc However, automatically produced drawings by GDS do not fully satisfy the standard of the general dimension marking method used among the layout designers. The lack of this standard quality mainly results from the fact that overlapping among dimension markings appears frequently. To solve the overlapping problem we applied the rule-based expert system. The rules for the expert system are designed based on the expertise of skilled layout designers within the grating production lines.

• Journal of Biosystems Engineering
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• 제23권4호
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• pp.391-398
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• 1998

Effective use of agricultural informations is crucial for 21 century farming. An interactive agricultural machinery information system was developed. It consisted of databases, knowledge bases, expert systems, a server engine, clients for a multimedia agricultural machinery information system based on Java and distributed objects technology. It is supposed to be served through a nationwide super information communication network for my farmers to utilize it interactively and quickly. Several user-friendly interface programs for users were developed to use texts, static k dynamic images, and expert systems easily. Tools for providing the informations were built with JAVA. Information providers permitted to access to the system such as agricultural machinery companies can easily add or modify the informations using distributed object technology. This system can interact among three groups : prime information provider (or system manager), permitted information providers, and farmers.

• 정보관리연구
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• 제25권2호
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• pp.1-30
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• 1994

본(本) 연구(硏究)는 정보자료(情報資料)의 선택과 평가에 관련된 여러 이론과 도서관에 응용된 사례를 중심으로 고찰한 것이다. 본 연구에서는 정보자료의 선택과 평가에 관한 선행연구를 통계적(統計的) 평가방법(評價方法), 비용(費用) 대(對) 효과(效果)의 방법, 전문가 시스템 방법의 3가지 유형으로 구분하였다. 또한 본(本) 연구(硏究)에서는 정보자료의 선택과 평가를 위하여 개발된 전문가 시스템의 이론적 배경과 응용 시스템의 개발현황(開發現況)과 전망에 대하여 고찰하였다.

• 지능정보연구
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• 제11권1호
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• pp.65-93
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• 2005

미술진단을 위한 전문가 시스템에는 (1)그림의 특징 (2) 환자의 심리증상 (3)그림 특징과 환자 심리증상 간의 관계 (4) 전문가의 진단과정 (5)지식의 표출 및 표현 방법 둥 다양한 분야에서 광범위한 지식이 필요하다. 이 지식들은 현장의 그림진단 치료사와 함께, 심리학자, 심리치료사, 그리고 미술진단을 컴퓨터에 구현할 지식공학자들로부터 얻어진다. 전문가는 다양한 요인들을 복합적으로 고려하는 매우 복잡한 진단과정을 거치며, 관련되는 방대한 지식들은 성격상 모호하고, 일관성이 부족하며, 때에 따라서는 상충적이기도 하다. 이 논문에서는 전문가의 진단과정을 모델링하여, 전문가 시스템의 구조를 설립하고, 지식들을 분석하여 분류한다. 분류에 따라 지식 획득과 표현에 적합한 방법을 선정하며, 온톨로지(ontoloty) 개념에 의한 프로티지(Protege) 2000을 도구로 사용하여 이 지식들을 체계적으로 정리한다. 실제 예제를 통하여 이 시스템의 사용가능성과 적합성을 보인다.

• Nutrition Research and Practice
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• 제2권2호
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• pp.121-129
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• 2008

This study was conducted to develop the NutriSonic Web Expert System for Meal Management and Nutrition Counseling with Analysis of User's Nutritive Changes of selected days and food exchange information with easy data transition. This program manipulates a food, menu and meal and search database that has been developed. Also, the system provides a function to check the user's nutritive change of selected days. Users can select a recommended general and therapeutic menu using this system. NutriSonic can analyze nutrients and e-food exchange ("e" means the food exchange data base calculated by a computer program) in menus and meals. The expert can insert and store a meal database and generate the synthetic information of age, sex and therapeutic purpose of disease. With investigation and analysis of the user's needs, the meal planning program on the internet has been continuously developed. Users are able to follow up their nutritive changes with nutrient information and ratio of 3 major energy nutrients. Also, users can download another data format like Excel files (.xls) for analysis and verify their nutrient time-series analysis. The results of analysis are presented quickly and accurately. Therefore it can be used by not only usual people, but also by dietitians and nutritionists who take charge of making a menu and experts in the field of food and nutrition. It is expected that the NutriSonic Web Expert System can be useful for nutrition education, nutrition counseling and expert meal management.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1995년도 하계학술대회 논문집 B
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• pp.637-639
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• 1995

Since power systems tend to be more large and complex, expert system substituted for the decision-making achieved by the power system operation expert is required. So far, expert system has been used for fault diagonosis and voltage-reactive power control and so on. In the expert system developed using 'C' language, the faulted element is estimated using the AND operation of lists which are acquired from the information on operated relays. It is also considered to identify the misoperation of protective devices using CF(Certainty Factor), and operation failure of those using the data base of parameter group list. The developed expert system is applied to a 6-bus sample system and through the case studies. It is shown that the expert system is very useful.