• Title/Summary/Keyword: knowledge base management

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Knowledge Acquistion using Neural Network and Simulator

  • Kim, Ki-Tae;Sim, Eok-su;Cheng Xuan;Park, Jin-Woo
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.25-29
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    • 2001
  • There are so many researches about the search method for the most compatible dispatching rule to a manufacturing system state. Most of researches select the dispatching rule using simulation results. This paper touches upon two research topics: the clustering method for manufacturing system states using simulation, and the search method for the most compatible dispatching rule to a manufacturing system state. The manufacturing system state variables are given to ART II neural network as input. The ART II neural network is trained to cluster the system state. After being trained, the ART II neural network classifies any system state as one state of some clustered states. The simulation results using clustered system state information and those of various dispatching rules are compared and the most compatible dispatching rule to the system state is defined. Finally there are made two knowledge bases. The simulation experiments are given to compare the proposed methods with other scheduling methods. The result shows the superiority of the proposed knowledge base.

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A Study on the influence of Productivity improvement of middle and small sized company's learning organization on productivity (중소기업 학습조직 활성화가 생산성에 미치는 영향에 관한 연구)

  • Jo, Yu-Jin;Kang, Kyung-Sik
    • Journal of the Korea Safety Management & Science
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    • v.19 no.4
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    • pp.283-290
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    • 2017
  • In knowledge information society entering global unlimited competition era, our middle and small sized companies are the base of national and enterprise competitiveness and core base of national economy as an origin of jobs. The competitiveness of middle and small sized companies is so important to decide the level of the competitiveness of the whole industries, but the gap from big sized company is much low in comparison with advanced countries from angles of important factors of enterprise growth, productivity and technological competitiveness, so, it's urgent to improve the competitiveness through productivity enhancement. The purpose of this research is to do a positive study on effects of learning organization management outcomes of middle and small sized company on enterprise productivity among various types of outcome brought for strengthening of enterprise competitiveness. It confirmed learning organization has functions and usefulness as a management tool bringing positive effects on enterprise productivity through the Productivity improvement.

Research and Development of Document Recognition System for Utilizing Image Data (이미지데이터 활용을 위한 문서인식시스템 연구 및 개발)

  • Kwag, Hee-Kue
    • The KIPS Transactions:PartB
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    • v.17B no.2
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    • pp.125-138
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    • 2010
  • The purpose of this research is to enhance document recognition system which is essential for developing full-text retrieval system of the document image data stored in the digital library of a public institution. To achieve this purpose, the main tasks of this research are: 1) analyzing the document image data and then developing its image preprocessing technology and document structure analysis one, 2) building its specialized knowledge base consisting of document layout and property, character model and word dictionary, respectively. In addition, developing the management tool of this knowledge base, the document recognition system is able to handle the various types of the document image data. Currently, we developed the prototype system of document recognition which is combined with the specialized knowledge base and the library of document structure analysis, respectively, adapted for the document image data housed in National Archives of Korea. With the results of this research, we plan to build up the test-bed and estimate the performance of document recognition system to maximize the utilization of full-text retrieval system.

Dynamic Knowledge Map and SQL-based Inference Architecture for Medical Diagnostic Systems

  • Kim, Jin-Sung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.1
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    • pp.101-107
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    • 2006
  • In this research, we propose a hybrid inference architecture for medical diagnosis based on dynamic knowledge map (DKM) and relational database (RDB). Conventional expert systems (ES) and developing tools of ES has some limitations such as, 1) time consumption to extend the knowledge base (KB), 2) difficulty to change the inference path, 3) inflexible use of inference functions and operators. To overcome these Limitations, we use DKM in extracting the complex relationships and causal rules from human expert and other knowledge resources. The DKM also can help the knowledge engineers to change the inference path rapidly and easily. Then, RDB and its management systems help us to transform the relationships from diagram to relational table.

Recreation Ecology and Visitor Carrying Capacity Management: Implications for Protected Areas in East Asia

  • Leung, Yu-Fai;Lee, Ju-Hee
    • The Korean Journal of Ecology
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    • v.26 no.2
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    • pp.53-58
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    • 2003
  • Ever-growing recreation, tourism and ecotourism worldwide have become a significant factor of resource degradation in many protected areas. Managers of these areas are increasingly challenged to implement policies, strategies and actions that would protect the resource base while providing quality visitor experience. One major issue in managing protected area visitations is that of carrying capacity, or the question of "how much use is too much\ulcorner". Scientific studies of visitor impacts, often known as recreation ecology, has generated a knowledge base that provides valuable input to the visitor carrying capacity management process adopted by the U.S. National Park Service. This paper aims at (a) providing an overview of recreation ecology research and its application in managing visitor carrying capacity, and (b) examining the relevance of recreation ecology to East Asian protected areas with special reference to the visitor capacity issue.ity issue.

기술축적과정에서의 사용자-생산자 관계 : 우리나라 기계제어 컴퓨터 사례

  • 임채성
    • Journal of Technology Innovation
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    • v.9 no.1
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    • pp.149-165
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    • 2001
  • This paper analyses characteristics of the numerical controller industry in market formation and the flow of information between users and producers and the characteristic of knowledge base of the industry and discuses the difficulties derived, from the characteristics, in accumulation of technological capability. In market formation between users and producers, the multi-layered market is not favorable to domestic producers in that lower end market is not large enough to provide cradle market to them which produce inferior quality and lower price than imported products. The credibility of the performance of a product is different to prove until a critical mass of products are sold. Therefore gaining market share is deterred by unproven credibility of the performance of the product. The flow of information between users and producers is limited. The flow of information on users environment through mass market to producers is essential for improving credibility of a product. The nature of knowledge base is tacit and the means of knowledge transmission is limited. Technological licensing and reverse engineering, which have been conventional means of knowledge transmission, are not useful in the numerical controller industry. These characteristics provide conditions of vicious circle in accumulation of technological capability of the numerical controller industry. This paper argues that these characteristics of the industry challenge existing approach to R&D management and framework of science and technology policy.

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Expert System for Emergency Decision Making for Metro Water Supply Systems (광역상수도 시설의 비상시 의사결정을 위한 전문가시스템)

  • Kim, Eung Seok;Kim, Joong Hoon;Baek, Chun Woo;Lee, Jung Ho
    • Journal of Korean Society on Water Environment
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    • v.23 no.1
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    • pp.103-110
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    • 2007
  • An efficient operational strategy using expert system for metro water supply systems in case of emergency situations is developed in this study. The emergency situations of the water supply systems are classified into three categories : pipeline system accident, machinery and electric facility accident and water quality accident. A PC-based expert system is developed using CLIPS for Seoul metro water supply system, Phase 1 & 2 system and Phase 3 & 4 system. Broad professional knowledges and experiences from the experts in the water supply systems have been collected systematically to construct the knowledge base. Decision-making in case of an emergency is based upon the professional knowledge so that a rational and efficient operational management can be available even in the absence of experienced expert. Especially the expert model developed in this study also provides a guide for pumping operation in case of pipeline accident to confirm that the proper pressure to all nodes in the system is supplied. The pipe network simulator KYPIPE has been consecutively executed by trial and error fashion for each pipeline in the system. The results from KYPIPE were included in the knowledge base to supplement the knowledge of the field engineers.

IT 바탕으로 한 ′기술수렴′(Technological Convergence)과 기술추격의 장애: 기계 제어 컴퓨터 사례

  • 임채성
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2001.05a
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    • pp.411-430
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    • 2001
  • This Paper analyses characteristics of the numerical controller industry in market formation and the flow of information between users and producers and the characteristic of knowledge base of the industry and discusses the difficulties derived, from the characteristics, in accumulation of technological capability In market formation between users and producers, the multi-layered market is not favorable to domestic producers in that lower end market is not large enough to provide cradle market to them which produce inferior quality and lower price than imported products. The credibility of the performance of a product is difficult to prove until a critical mass of products are sold. Therefore gaining market share is deterred by unproven credibility of the performance of the product. The flow of information between users and producers is limited. The flow of information on users environment through mass market to producers is essential for improving credibility of a product. The nature of knowledge base is tacit and the means of knowledge transmission is limited. Technological licensing and reverse engineering, which have been conventional means of knowledge transmission, are not useful in the numerical controller industry. These characteristics provide conditions of vicious circle in accumulation of technological capability of the numerical controller industry. It is conjectured that these characteristics are derived from the fact that the numerical controller is the result of IT based technological convergence in controlling machining process. This paper argues that these characteristics of the industry challenges existing approach to R&D management and framework of science and technology Policy.

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A Strategy of Dynamic Inference for a Knowledge-Based System with Fuzzy Production Rules (퍼지규칙으로 구성된 지식기반시스템에서 동적 추론전략)

  • 송수섭
    • Journal of the Korean Operations Research and Management Science Society
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    • v.25 no.4
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    • pp.81-95
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    • 2000
  • A knowledge-based system with fuzzy production rules is a representation of static knowledge of an expert. On the other hand, a real system such as the stock market is dynamic in nature. Therefore we need a strategy to reflect the dynamic nature of real system when we make inferences with a knowledge-based system. This paper proposes a strategy of dynamic inferencing for a knowledge-based system with fuzzy production rules. The strategy suggested in this paper applies weights of attributes of conditions of a rule in the knowledge-base. A degree of match(DM) between actual input information and a condition of a rule is represented by a value [0,1]. Weights of relative importance of attributes in a rule are obtained by AHP(Analytic Hierarcy Process) method. Then these weights are applied as exponents for the DM, and the DMs in a rule are combined, with MIN operator, into a single DM for the rule. In this way, overall DM for a rule changes depending on the importance of attributes of the rule. As a result, the dynamic nature of a real system can be incorporated in an inference with fuzzy production rules.

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A Study on the Knowledge-Based System for Automaic Abstracting (자동 초록을 위한 지식 기반 시스템 설계에 관한 연구)

  • 최인숙
    • Journal of the Korean Society for information Management
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    • v.6 no.1
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    • pp.93-117
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    • 1989
  • The objective of this study is to design an automatic abstracting system through the analysis of natural language texts. For this purpose a knowledge-based system operating on the basis of domain knowledge was developed. The procedure of generating an abstract consists of three steps: (1) A knowledge-base containing domain knowledge necessary to understand a text is constructed using frame and semantic network structures,and preliminary abstracts are prepared for various cases. (2) Input text is analysed on the basis of domain knowledge in order to extract information filling slots of the abstract with. (3) A Preliminary abstract corresponding to the input text is called and filled with the information, completing the abstract.

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