• Journal of Ocean Engineering and Technology
• /
• v.17 no.1
• /
• pp.67-71
• /
• 2003

This paper presents the use of an evert system to automate process planning of block assembly, a task that is usually completed manually. In order to determine the sequence of assembly operation, a search method guided by rules, such as merging of related operations, grouping of similar operations, and precedence rules based on know-hows and geometrical reasoning, is used. In this paper, the expert system developed is explained in detail regarding a global database, control strategies, and rule bases. For verification purposes, the evert system has been applied to simple examples. Since the rule bases are isolated from the inference engine in the developed system, it is easy to add more rules in the future.

• New & Renewable Energy
• /
• v.4 no.4
• /
• pp.65-71
• /
• 2008

Considering the world's environmental problem, HEVs are projected as one of the solution. The keys of the HEV cruise control are expanding the use of electric motor and operating the internal combustion engine in the efficient region. This paper presents a new structure of SOC sustaining model where state-machine control is used. The proposed model defines battery charging and discharging as states and SOC of the battery as control variables. In this paper, we introduce various methods in deterministic rule-based control for HEV and describe a new SOC sustaining controller used by state-machine.

• 제어로봇시스템학회:학술대회논문집
• /
• 1995.10a
• /
• pp.263-266
• /
• 1995

Comtputer Aided Process Planning(CAPP) has been emerged as playing a key role in Computer Integrated Manufactunng(CIM) as the most critical link to integrate CAD and CAM. A modified variant CAPP system based on process planning rule base is developed in this paper. This CAPP system generates process plans automatically according to the GT code data provided as input. In order to execute process planning, various process planning rules are constructed in the form of decision tree and the inference engine that extracts the process plan based on the tree-structured rules are implemented.

• Magazine of the Korean Society of Agricultural Engineers
• /
• v.43 no.6
• /
• pp.187-196
• /
• 2001

In this study, by using the natural language processing of the field of artificial intelligence, automated index was performed. And then, the Natural Language Processing Interface for knowledge representation(NALPI) has been developed. Furthermore, the DEsign KnOwledge DataBase(DEKODB) has been also developed, which is designed to interlock the knowledge base. The DEKODB processes both the documented design-data, like a concrete standard specification, and the design knowledge from an expert. The DEKODB is also simulates the design space of structures accordance with the production rule, and thus it is determined that DEKODB can be used as a engine to retrieve new knowledge and to implement knowledge base that is necessary to the development of automatic design system. The application field of the system, which has been developed in this study, can be expanded by supplement of the design knowledge at DEKODB and developing dictionaries for foreign languages. Furthermore, the perfect automation at the data accumulation and development of the automatic rule generator should benefit the unified design automation.

• Proceedings of the KIEE Conference
• /
• 1998.07b
• /
• pp.410-413
• /
• 1998

A passive approach for enhancing fault detection and isolation performance of multiple observer based fault detection isolation schemes(FDIS) is proposed. The FDIS has a hierarchical framework to perform detection and isolation of faults of interest, and diagnosis of process faults. The decision unit comprises of a rule base and fuzzy inference engine and removes some difficulties of conventional decision unit which includes crisp logic and threshold values. Emphasis is placed on the design and evaluation methods of the diagnostic rule base. The suggested scheme is applied for the FDIS design for a DC motor driven centrifugal pump system.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2004.11a
• /
• pp.313-320
• /
• 2004

시장 환경의 전반적인 변화로 인하여 시장 규제가 완화되고 그로 인한 경쟁사가 늘어나고 있고, 공급자 중심의 시장에서 구매자 중심의 시장으로 변화되어 가고 있다. 이에 기업들은 고객과의 관계를 강화하기 위해 CRM을 중요한 해법으로 생각하여 다양한 방법으로 고객만족을 높이는데 주력하고 있다. 또한 정보기술의 발달로 인해 웹 상에서의 eCRM이 출현되었고 웹 상에서 고객의 데이터를 분석하여 적시에 고객의 니즈에 맞는 서비스를 제공해주는 Recommendation system 을 개발하여 좀더 향상된 eCRM 으로 원투원 마켓팅을 통해 판매 강화 및 고객만족도 제고를 실현할 수 있도록 발전되어왔다. 이중 eCRM의 Recommendation Engine은 고객의 니즈를 발견해내어 그에 맞는 다양한 상품들을 추천하는 시스템으로 Rule 기반의 컨텐츠 매칭 기법과 Collaborative Filtering 기법을 사용하였다. 그러나 이 기법들은 미리 정해진 Rule에 의해 사전적인 대응을 하지 못한다는 문제점과 비정형적인 정보 및 환경정보에 복합적인 판단이 고객중심의 현재 상황에 따라 이루어지지 못한다는 문제점을 가지고 있다 이에 본고에서는 이 문제에 대한 해결안으로써 Ontology를 이용한 실시간 추천시스템을 모델로 제시하고자 한다.

• IE interfaces
• /
• v.8 no.3
• /
• pp.221-230
• /
• 1995

Computer Aided Process Planning(CAPP) has been emerged as playing a key role in Computer Integrated Manufacturing(CIM) as the most critical link to integrate CAD and CAM, and therefore much effort has been dedicated to the structure and creation of CAPP system. In this research, a modified variant CAPP system based on process planning rule base is developed, which generates process plans for parts automatically where GT code data are provided as input. In order to execute process planning, rules are constructed in the form of Decision Tree and this system has the inference engine that extracts the results of process planning on the basis of tree-structured rules which are concerned with manufacturing processes.

• IE interfaces
• /
• v.19 no.4
• /
• pp.342-354
• /
• 2006

The purpose of this thesis is to develop the schemes of supporting estimate for marine engines’ factories which are in a general make-to-order style. The marine engines’ factories currently use the method which depends on the past data and experiences handled by the responsible person, which causes inefficiency and inaccuracy in dealing with a huge amount of data. We apply association rule to solving the problems mentioned above. Critical data for analysis is filtered among materials that have been using actual records of performance so far. Secondly, relation with each part of marine engines through filtered data so that the company can estimate cost promptly and precisely if customers with similar components as requested. By proposed method of study estimate support efficient and supported exactly.

• Proceedings of the KIEE Conference
• /
• 1987.07b
• /
• pp.1329-1332
• /
• 1987

This paper describes a design of the expert system for diagnosis of abnormal gait patients. This system makes the rule-based representation that can easily extend the knowledge-base and naturally represent the uncertainty, and the inference engine that uses forward chaining which covers the reasoning from the first condition to the goal. The results of inferring various maladies using this system are as follows: 1) In cases of progressive muscular dystrophy, cerebral vascular accident, peripheral neuropathic lesion and peroneal nerve injury, the result of inference is the same as that of medical specialists' with 100% accuracy. 2) In cases of Neuritis, Paralysis agitan and Brain tumor, the accuracy of inference is less than 50% compared to that of medical specialists. With above results, we decide that the rule-based representations of some maladies ard accurate relatively, but that the correction and the extention of some rules and some methods of problem solving are required in order to construct the complete expert system for diagnosis of abnormal gait patients.

• Journal of KIISE:Software and Applications
• /
• v.34 no.6
• /
• pp.530-538
• /
• 2007

Most existing deductive engines study for optimization of TBox based on Tableaux algorithm. However, in order to deduce mass-storing ABox in reality, it can't be decided in finite time. Therefore, for the efficiency of the deductive engine, there needs to be reasoning technique optimized for ABox. This paper uses the method that changes OWL-DL based Ontology to the form of Rule like Datalog in order to interlock store device such as RDBMS. Ultimately, it tries to in circumstance of real world. Therefor, using Axiom that OWL holds, it suggests reasoning method that applies rules including datatype.