• 한국CDE학회논문집
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• 제4권1호
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• pp.52-59
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• 1999

The CAD/CAM System for deep drawing transfer die tin mechanical press process has been developed. The developed CAD system can generate the drawing of transfer die in mechanical press. Using thee results from CAD system, it can generate the NC data to machine die's elements on the CAD system. This system can reduce design man-hour an human errors. In order to construct the system, it is used to automated the design process and generate the NC data using concepts of the designing rule and the machining rule. The developed system is based on the knowledge base system which is involved a lot of expert's technology in the practice field. Using AutoLISP language under the AutoCAD system, CTK customer language of SmartCAM is used as the overall CAD/CAM environment. Results of this system will be provide effective aids to the designer and manufacturer in this field.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.508-510
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• 2001

Adopting the method of user weighting fuzzy mathematics, the author accomplished the subject title “Study on Expert System of Chicken\`s Common Diseases Diagnostics”, which could properly diagnose 30 kinds of chicken\`s common diseases and the accordance rate reached 80% verified through 244 disease cases. On the basis of the accomplishment, the multimedia technology was adopted further more to establish a system, which integrated with the input, display, query, and processing of sound, picture and text etc., combined with the previous chicken disease diagnostic expert system, make the output information of computer more rich and comprehensive, and the accordance rate of disease diagnosis could be improved. The system consists of database, knowledge base, graphics and picture base. This system is easy to operate and interface of which is vivid and intuitive. It could output diagnostic result and prescribe rapidly, so that, such a system is not only adapted to large, medium chicken farm but also to grass-roots veterinary station for developing health care and disease diagnosing. It is sure that the system could have side prospect of application.

• 한국중재학회지:중재연구
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• 제26권3호
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• pp.121-147
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• 2016

Factual issues in most patent litigation are related to very complicated techniques. Thus, the courts has emphasised that the technology in dispute has to be read and understood through the eyes of a person to whom it is directed. Therefore, among the various processes in federal litigation, most litigation in the field of patent infringement relies on at least some expert evidence. This paper focuses on issues regarding patent dispute evidence, and explore whether there are unresolved issues in evidential rules and procedures of patent proceedings. Further, this paper seeks to demonstrate that both the parties and the courts in patent disputes generally benefit from the current evidence system. However, in a number of Australian cases, the scope of expert evidence in patent cases has been strictly limited. Australian Government identified uncertain issues associated with the present patent enforcement system, due to factors such as a low level of knowledge about what patent rights entail, the high degree of uncertainty of outcome in legal proceedings, etc. Arbitration shall be reviewed and suggested as an alternative to tackling the ongoing problems in the trial system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권2호
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• pp.284-310
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• 2024

Identifying clinical pathways for disease diagnosis and treatment process recommendations are seriously decision-intensive tasks for health care practitioners. It requires them to rely on their expertise and experience to analyze various categories of health parameters from a health record to arrive at a decision in order to provide an accurate diagnosis and treatment recommendations to the end user (patient). Technological adaptation in the area of medical diagnosis using AI is dispensable; using expert systems to assist health care practitioners in decision-making is becoming increasingly popular. Our work architects a novel knowledge-based recommender system model, an expert system that can bring adaptability and transparency in usage, provide in-depth analysis of a patient's medical record, and prescribe diagnostic results and treatment process recommendations to them. The proposed system uses a set of parallel discrete fuzzy rule-based classifier systems, with each of them providing recommended sub-outcomes of discrete medical conditions. A novel knowledge-based combiner unit extracts significant relationships between the sub-outcomes of discrete fuzzy rule-based classifier systems to provide holistic outcomes and solutions for clinical decision support. The work establishes a model to address disease diagnosis and treatment recommendations for primary lung disease issues. In this paper, we provide some samples to demonstrate the usage of the system, and the results from the system show excellent correlation with expert assessments.

• 한국CDE학회논문집
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• 제5권3호
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• pp.255-262
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• 2000

A computer-aided process planning (CAPP) system for rotationally symmetric deep drawing products has been developed. The application for non-axisymmetric components, however, has not been reported yet. Therefore, this study investigates process sequence design in deep drawing process and constructs an expert system of process planning for non-axisymmetric motor frame products with elliptical shape. The system developed consists of four modules. The first one is recognition of shape module to recognize the products. The second one is a 3-D modeling module to calculate surface area for non-axisymmetric products. The third one is a blank design module that creates an oval-shaped blank with the identical surface area. The forth one is a process planning module based on production rules that play the best important role in an expert system for manufacturing. The production rules are generated and upgraded by interviewing with field engineers. The constructed system using AutoLISP language under the AutoCAD environment is baled on the knowledge base system which is involved a lot of expert's technology. Results of this system will be provide effective aids to the designer and engineer in this field.

• 지능정보연구
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• 제22권1호
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• pp.63-82
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• 2016

최근 정보기술의 발달로 인해 소비자들은 온라인상에서 많은 정보를 쉽고 빠르게 획득할 수 있다. 소비자가 제품 구매시에는 소비자들이나 전문가들이 작성한 제품 후기 정보를 주로 탐색한다. 기존의 연구들이 소비자들이 창출한 제품 후기 중심으로 주로 진행되어 왔기 때문에, 전문가 제품 후기의 영향력에 대해서는 상대적으로 소수의 연구들만 존재하고 있다. 본 연구는 전문가가 생성하는 제품 후기에 초점을 맞추어, 방대한 실제 비정형데이터인 전문가의 후기를 어떻게 언어학적인 차원과 심리학적인 차원으로 나눌 수 있는지의 방법론을 제안하며, 실제 전문가 제품 후기를 사용하여 의미 있는 다섯 가지 차원의 새로운 변수들을 도출하였다. 그 결과 소비자들이 전문가 후기에서 반응하고 있는 언어적 특성은 제품에 대한 깊이 있는 정보의 양이나 충분한 설명을 나타내는 변수인 Review Depth, 그리고 전문가가 기술하는 방식이 제품에 대한 확신이 없는 듯한 말투를 나타내는 변수인 Lack of Assurance는 소비자의 전반적인 제품평가에 유의한 상관관계가 있는 것으로 밝혀졌다. 또한, 제품에 대한 칭찬이나 긍정적인 면을 서술하는 방식인 Positive Polarity가 소비자의 제품 평가에 영향을 미치지 않았지만, 전문가가 하는 제품에 대한 비관적인 평가인 Negative Polarity는 소비자들의 평가와 유의한 음의 상관관계가 있었다는 점이다. 전문가가 스토리텔링 관점에서 자주 사용하는 Social Orientation 특성은 유의한 관계를 미치지 못함이 밝혀졌다. 본 연구는 새로운 방법론을 제안하고 이를 실제로 활용한 결과를 보여준다는 차원에서 이론적이고 실무적인 공헌을 가진다.

• 한국통신학회논문지
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• 제18권2호
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• pp.231-238
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• 1993

퍼지제어룰은 일반적으로 시스템에 대한 전문오퍼레이터나 기술자가 갖고 있는 애매모호함을 포함하고 있는 제어지식을 시스템의 입 출력 분할에 의해 if-then이라는 언어적 룰로서 표현하는 것으로 전문오퍼레이터나 기술자의 제어지식 자체의 부정확과 룰의 불완전등으로 완전하게 표현한다는 것은 대단히 어렵다. 이러한 불완전한 룰의 정확도를 시스템 동작 후에도 연속적으로 높이기 위한 방법으로서 신경회로망에 의한 퍼지 추론과 학습을 제시한다. 이 방식은 시스템의 퍼지롤의 후건부를 층상신경회로망의 역전파(Back-propagation) 학습방법에 의한 정확도를 증진시키고, 전건부의 적합도를 연상기억방식에 의해 추론하는 방식으로서, 이 방식을 이용하여 한정된 구역 내에서 숙련된 기술과 지식이 필요한 차의 안전하고 신속한 정차를 위한 Auto-Parking Fuzzy Controller를 설계하고 시뮬레이션을 통해 그 타당성을 입증하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -2
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• pp.1176-1179
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• 2002

This paper presents the use of a Genetic Algorithm to find the optimal layout for the placement of garment patterns on a fabric of fixed width to minimize fabric waste. We developed a program to simulate garment pieces and their layout on a fixed-width fabric. Each piece in the order book is placed with 2 possible orientations: 0 degrees and 180 degrees. The efficiency is measured by the length of fabric used after all the patterns in the order book have been laid out. A comparison is made between the placement using our proposed genetic algorithm to that made by an expert human using our simulation program. The results from our experiments on various pattern designs indicate that our genetic algorithm can effectively be used to obtain highly efficient solutions, comparable to that done by an expert while using a reasonable amount of time. The algorithm can also be adapted for use in other areas related to optimal consumption of sheet material such as metal, paper, and leather.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.317-320
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• 2004

In this work we have managed to find parameters for defining athlete's aerobic and anaerobic thresholds. Thresholds which are of vital importance for top athletes. It is shown how differential evolution and different similarity measures has been used to tune computational model for threshold definitions. From our results it is obvious that the use of right parameter values for this kind expert system is of vital importance.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.569-570
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• 2022

산업체에서 고장 상황이 빈번히 일어나고 이를 위한 기존의 2D 기반 기반의 매뉴얼은 이해가 직관적이지 않고, 유지보수 전문가와 즉각적인 상호작용이 어렵다. 본 논문에서는 원격지에 고장 상황이 발생하였을 때 증강현실을 기반으로 작업자들이 시간과 장소에 제약 없이 실시간으로 전문가의 도움을 받아 유지보수 할 수 있는 기술을 제안한다. 로컬의 가상휴먼 기반 전문가는 HMD 헤드셋을 착용한 상태로 원격지 고장 상황의 적응화 된 파노라마 영상을 기반으로 고장 상황을 진단하고, 원격지의 작업자에게 지시를 내린다. 또한 원격지의 증강현실(AR) 환경에서는 작업자와 전문가의 상호작용을 위해 HMD의 마이크를 이용하여 언어적 소통뿐만 아니라 전문가의 손을 가상으로 생성하고, 가상 손을 사용하여 전문가는 실제 개체에 레이저 포인터를 이용하여 가르키거나, 그림을 그릴 수 있다. 본 기술을 이용한다면 기존의 2D 기반의 매뉴얼의 한계를 극복할 수 있으며 원격지에 전문가가 직접 방문하지 않더라고 원격에서 유지보수를 원활하게 진행하는데 도움을 제공할 수 있다.