• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.249-255
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• 2001

Different kinds of information are used when solving tasks that arise in the life cycle of an applied knowledge based system (KBS). Many of these tasks are still under investigation. Their solving methods are often researched independently of each other due to complexity of the tasks. As a result, systems that realize these methods turn out to be incompatible and therefore could not be used together in the lifecycle of a KBS. The following problem arises here: how to support the full life cycle of a KBS. This paper introduces a class of computer knowledge banks that are intended to support the full life cycle of KBSs. Primary tasks that arise in the full life cycle of a KBS are analyzed. The architecture of a knowledge bank of the introduced class is presented, including an Information Content, a Shell of the Information Content and a Software Content. General requirements on these components are formulated on the basis of the analysis. These requirements depend on the current state of understanding in the life cycle of KBSs.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.44
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• pp.185-195
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• 1997

In this paper, research and applications of a knowledge-base system in scheduling are review. The method is based on the problem-solving techniques developed in artificial intelligent. The object of this paper is to enable the re-time rescheduling under dynamic environments. Developed to KBS(Knowledge-Based Scheduling) system in this paper, will based on expert system, and applicate to requirement of users effectively.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.10a
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• pp.568-571
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• 2004

In this study, we propose an efficient expert system (ES) construction mechanism by using dynamic knowledge map (DKM) and database management systems (DBMS). Generally, traditional ES and ES developing tools has some limitations such as, 1) a lot of time to extend the knowledge base (KB), 2) too difficult to change the inference path, 3) inflexible use of inference functions and operators. First, to overcome these limitations, we use DKM in extracting the complex relationships and causal rules from human expert and other knowledge resources. Then, elation database (RDB) and its management systems will help to transform the relationships from diagram to relational table. Therefore, our mechanism can help the ES or KBS (Knowledge-Based Systems) developers in several ways efficiently. In the experiment section, we used medical data to show the efficiency of our mechanism. Experimental results with various disease show that the mechanism is superior in terms of extension ability and flexible inference.

• The Journal of the Korea Contents Association
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• v.11 no.2
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• pp.54-60
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• 2011

The study is content-based video retrieval system based on the news video domain as researching for the video data processing method for searching the multimedia information. For the implementation of effective system, We retrieval meaning information and special information using the knowing knowledge about formation and structure of the video data. These are possible to retrieval searching by articles fast and accurately by indexing contents the users want to search. The news domain used in experiment of our system is the KBS news on the air nowadays and precision and recall is used to evaluate the experiment and performance.

• Asia pacific journal of information systems
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• v.4 no.1
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• pp.3-31
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• 1994

Potential employers considering locations for production or service facilities typically equire detailed advance knowledge of the wages they will be expected to offer for workers in various occupational categories. The State of Missouri s Department of Labor and Industrial Relations is often contacted by organizations requesting such information. The current wage rate survey approach, initiated in 1988, allows the Department to predict an appropriate wage rate for a given occupation in certain counties, adjusted for changes in the Consumer Price Index (CPI). However, both Department employees and firms have indicated that improved prediction responsiveness and accuracy are desirable. A major deficiency of the current approach is its inability to predict wages for unsurveyed counties. This paper describes a knowledge-based system (KBS), currently in the prototype testing stage, that is expected to supplement the wage rate survey in the near future.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.05a
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• pp.284-293
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• 2002

XML(eXtensible Markup Language, XML)은 인터넷에서의 자료 교환을 위해 고안된 언어이다. 본 논문에서는 XML의 개념을 발전시킨 확장형 규칙 표식 언어(extensible Rule Markup Language, XRML)를 제안하고 있다. XRML은 웹 페이지에 내재된 암묵적 규칙의 식별, 구조적인 규칙으로의 변환, 사람과 소프트웨어 에이전트간의 지식 공유를 가능하게 하며, 이를 통해 지식기반시스템(Knowledge Based System)과 지식관리시스템(Knowledge Management System)의 통합을 실현할 수 있는 새로운 언어가 될 것이다. 본 고에서는 XRML이 이상과 같은 능력을 갖기 위해 반드시 갖춰야 할 6가지 설계 기준과, 이들 기준을 반영한 XRML 구성 요소로서 RIML(Rule Identification Markup Language), RSML(Rule Structure Markup Language)과 RTML(Rule Triggering Markup Language)을 설계하였으며, 개별 요소들의 기능 및 특성과 함께 태그와 DTD(Document Type Definition)도 식별하였다. 나아가 전술한 구조를 기반으로 하여 XRML을 워크플로우 시스템상의 폼처리에 적용한 Form/XRML이라는 프로토타입 시스템을 설계하고 구현하였다. 본 프로토타입의 개발을 통해, 지식기반시스템의 지식을 활용하는 RTML이 폼을 비롯한 다양한 응용시스템에 내재될 수 있으며, 웹 페이지의 암묵적 규칙과 지식기반시스템의 규칙이 일관성 있게 유지될 수 있음을 보여 주었다. 요컨대 본 연구는 XRML이 지능형 웹으로 발전하기 위한 새로운 도구이며, KBS와 US의 통합을 위한 중요한 도구임을 입증하였다는 점에서 큰 의의를 갖는다고 하겠다.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.3
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• pp.156-162
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• 2013

Social manufacturing architecture is based on information delivery through social media and SNS, PLM and social platform, crowd source and knowledge base on whole phase of product life cycle. Although advanced social manufacturing issues are rising globally, its technology emerging into domestic industry is likely to be slow. We focused to review technological changes and R&D trend, patent issues, and then suggest assignments and advices to be practiced for social manufacturing modeling.

• Journal of the Society of Naval Architects of Korea
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• v.38 no.3
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• pp.107-116
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• 2001

Any small leakages in the submarines could lead to the serious consecutive damages since it operates under high water pressure. Such leakages including damages of pipe and hull itself eventually could incur humane casualties and loss of expensive properties as well as the loss of combat capabilities. In this paper, knowledge based decision system is developed. The domain knowledge is acquired from document of submarine design, design expertise and interview with operator. Damages of hull itself and pipes are treated and decision is recommended whether to stay in the sea or to be blowing, for instance.

• Environmental Engineering Research
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• v.14 no.2
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• pp.111-119
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• 2009

A prototype GIS-based decision support system (DSS) was developed by using a database management system (DBMS), a model management system (MMS), a knowledge-based system (KBS), a graphical user interface (GUI), and a geographical information system (GIS). The method of selecting a dispersion model or a modeling scheme, originally devised by Park and Seok, was developed using our GIS-based DSS. The performances of candidate models or modeling schemes were evaluated by using a single index(statistical score) derived by applying fuzzy inference to statistical measures between the measured and predicted concentrations. The fumigation dispersion model performed better than the models such as industrial source complex short term model(ISCST) and atmospheric dispersion model system(ADMS) for the prediction of the ground level $SO_2$ (1 hr) concentration in a coastal area. However, its coincidence level between actual and calculated values was poor. The neural network models were found to improve the accuracy of predicted ground level $SO_2$ concentration significantly, compared to the fumigation models. The GIS-based DSS may serve as a useful tool for selecting the best prediction model, even for complex terrains.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.301-304
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• 2016

Cyber world constitute the infrastructure of the country and its people and control. Cyber attacks and leakage of personal information are being threatened damage to the national economy and national security. December 2014 had been cyber hacking attacks on Korea Hydro & Nuclear Power Nuclear cooling system design drawings of a spill, and Cheong Wa Dae website hacked, KBS stations occurred in cyber hacking accidents. As a result, ICT-based Protection Act, Promotion of Information and Communications Network Utilization and Information Act on Protection, etc., privacy laws are being enforced, personal information in the form of requirements from leading high-tech eoryeowoona is to prevent the attacks of armed hackers Internet information society It proposes positive measures to keep your personal information officer and laws.