• Journal of the Korea Society for Simulation
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• v.9 no.3
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• pp.27-41
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• 2000

As the application domains of rule-based systems become larger and more complicated, the integration of rule-based systems within the database systems has become the topic of many research works. This paper suggests a simulation modeling using expert system and database. The integration methods employed in this research are as follows. First, we defined new states and state transition functions to interrelate simulation model and expert system. Second, we designed and implemented FCL(Fact Class Library) as a interface of expert system and database. FCL has facilities of filtering data from database, and assigning a meaning to the filtered data. Also, FCL detects the violation of the integrity rules in database, as the result of inference is reflected. Some implementation problems are pointed out and the methods to solve these problems are discussed in this paper, We developed a simulation model of the grating production line and executed it to validate the functions of the proposed method.

• Journal of the Korea Society of Computer and Information
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• v.20 no.2
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• pp.231-239
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• 2015

This study aimed to design and apply the technological pedagogical and content knowledge(TPACK) model to pre-service education program, and to analyze its results for attending student's questionnaire. At first, a lecture that designed to elevate one's technological knowledge was studied and implemented. To perform this study, TPACK survey instruments were distributed to pre-service teacher group A who took the designed lecture and group B who took ordinary ICT literacy lecture. The results showed that TK, TCK, TPK, and TPACK improved significantly in group A, and significant positive corelation shows among 7 subcategories of TPACK. Based on the result of this study, we suggested that pre-service teacher education should consider the combination of pre-service education program and technology knowledge in TPACK model.

• Journal of the Korean Society for Library and Information Science
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• v.34 no.4
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• pp.49-67
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• 2000

The purpose of this study is to suggest knowledge-based digital library model that is applicable in korea university library. This paper provides brief accounts of research and development trends of digital library in referring some major digital library projects that are in progress, or just completed. There follows a suggestion of eight essential modules for knowledge-based digital library system, that are infrastructure development of dissertation presentation and database construction, management and service of collections, infrastructure construction of journal service, development of unified viewer, database conversion, distributed & integrated retrieval system, cyber campus(private work space), and database connection.

• Journal of Sasang Constitutional Medicine
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• v.12 no.2
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• pp.1-7
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• 2000

Greeting the 100 year celebration of the death of Master Dong-mu, through investigating his thoght on Scholarship and Philosophy, and his new view of human being based on Sasang, I tried to reevaluate him as a Confucianist of practical mind. The conclusions were as followings ; 1. Dong-mu's recognition system of things is that based on the mind of summarizing things in view of Affair-Mind-Body-Object originated from Confucianism, and It developed 'the Marvel of Easiness & simpleness based on Yin-yang' into 'the Marvel of Easiness & simpleness based on Sasang' 2 Through understanding old Confucianism newly, Dong-mu summarized human being as having a natural character in view of Nature and Order and an autonomical character in view of Knowledge and Deed, and emphasized an autonomical character in view of Knowledge and Deed 3. In view of Knowledge and Deed, Dong-mu presented How to Say and Behave, and took it as a model of behavior in the new Confucianism. Also he presented the view of Knowledge and Deed based on Constitutions, and took it as a new mind of treatment. 4. Dong-mu can be estimated highly, in that he completed a new confucian view-point of Human being in the period of philosophic chaos, and executed the mind of General health maintenance and the mind of control others through a confucian self-control.

• Journal of the Korean Society for information Management
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• v.26 no.3
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• pp.189-211
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• 2009

The purpose of this study is to examine the causal relationships among knowledge management(KM) influence factors(leadership, learning culture, member' attitude, reward, knowledge quality, KMS quality), KM activities(knowledge creation, knowledge sharing), KM performance in public enterprise. The results of data analysis by structured equation model(SEM) indicate that learning culture, knowledge quality and KMS quality significantly influence the knowledge creation and sharing. Member' attitude has significant influences on the knowledge creation. And knowledge creation and sharing have a significant affect on KM performance. Based on the results, the potential implications of the strategy for effective knowledge management are discussed.

• The Journal of Information Systems
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• v.18 no.3
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• pp.135-154
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• 2009

As the knowledge is recognized as a core factor of organization's competitiveness and creation of value added, the importance of knowledge management is also increased. To achieve the successful knowledge management, it is important to establish strategy that consider essential purpose of knowledge management such as creating and sharing of knowledge resource, improving performance, and continuing organizational innovation within the organization and influence factor inside and outside of organization. Until now, however, the research for knowledge management strategy was mostly limited to the statistical analysis based on the unilinear causality model, and systematic access and analysis that consider interaction and feedback structure between factors. In this paper, we developed the novel decision-making framework for successful strategy establishment by applying the analytic network process(ANP). Specifically. we derive clusters and components to decide the interaction and feedback structure between the elements of knowledge management by literature studies. And we produced relative importance and preference of clusters, components and alternatives dealing with feedback structure through the survey of experts in the field or related one of knowledge management. In result of this study, we expect that it will help the knowledge officer to decide establishing knowledge management strategy.

• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.4
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• pp.745-750
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• 2009

The goal of this study is to examine on reasoning and search for construction of diagnosis ontology as a knowledge base of diagnosis expert system in oriental medicine. Expert system is a field of artificial intelligence. It is a system to acquire information with diverse reasoning methods after putting expert's knowledge in computer systematically. A typical model of expert system consists of knowledge base and reasoning & explanatory structure offering conclusion with the knowledge. To apply ontology as knowledge base to expert system practically, consideration on reasoning and search should be together. Therefore, this study compared and examined reasoning, search with diagnosis process in oriental medicine. Reasoning is divided into Rule-based reasoning and Case-based reasoning. The former is divided into Forward chaining and Backward chaining. Because of characteristics of diagnosis, sometimes Forward chaining or backward chaining are required. Therefore, there are a lot of cases that Hybrid chaining is effective. Case-based reasoning is a method to settle a problem in the present by comparing with the past cases. Therefore, it is suitable to diagnosis fields with abundant cases. Search is sorted into Breadth-first search, Depth-first search and Best-first search, which have respectively merits and demerits. To construct diagnosis ontology to be applied to practical expert system, reasoning and search to reflect diagnosis process and characteristics should be considered.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.05a
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• pp.81-86
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• 2002

In current CBR(Case-Based Reasoning) systems, the case adaptation is usually performed by rule-based method that use rules hand-coded by the system developer. So, CBR system designer faces knowledge acquisition bottleneck similar to those found in traditional expert system design. In this thesis, 1 present a model for learning method of case adaptation knowledge using case base. The feature difference of each pair of cases are noted and become the antecedent part of an adaptation rule, the differences between the solutions in the compared cases become the consequent part of the rule. However, the number of rules that can possibly be discovered using a learning algorithm is enormous. The first method for finding cases to compare uses a syntactic measure of the distance between cases. The threshold fur identification of candidates for comparison is fixed th the maximum number of differences between the target and retrived case from all retrievals. The second method is to use similarity metric since the threshold method may not be an accurate measure. I suggest the elimination method of duplicate rules. In the elimination process, a confidence value is assigned to each rule based on its frequency. The learned adaptation rules is applied in riven target Problem. The basic. process involves search for all rules that handle at least one difference followed by a combination process in which complete solutions are built.

• Journal of Mechanical Science and Technology
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• v.19 no.7
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• pp.1414-1423
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• 2005

This paper develops and evaluates several strategies for structural vibration control with the objective of attenuating broadband noise inside a rectangular enclosure. The strategies evaluated include model-independent collocated control, model-based feedback control and a new 'modal-estimate' feedback strategy. Collocated control requires no knowledge of model parameters and enjoys the advantage of robustness. However, effective broadband noise attenuation with colocated control requires a large number of sensor-actuator pairs. Model-based con-trollers, on the other hand, can be theoretically effective even with the use of a single actuator. However, they suffer from a lack of robustness and are unsuitable from a practical point of view for broadband structural vibration applications where the dynamic models are of large order and poorly known. A new control strategy is developed based on attenuating a few structural vibration modes that have the best coupling with the enclosure acoustics. Broadband attenuation of these important modes can be achieved using a single actuator, a limited number of accelerometers and limited knowledge of a few modal functions. Simulation results are presented to demonstrate the effectiveness of the developed strategy.

• Journal of the Korea Society of Computer and Information
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• v.14 no.12
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• pp.33-40
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• 2009

We study Interpreted Systems, ATL, and ATEL to capture the notion of time, knowledge, and strategy which are important in the analysis of multi-agent systems and propose strategic constraints based on subgame perfect Nash equilibrium of game theory as one of the solutions for the issues of ATEL which an agent can access the current state of the whole system when making up his strategy even when he should be uncertain about the state, and no explicit representation of actions in ATEL models makes some natural situations harder to model. Also, we present strategic constraints-based Interpreted Systems for model checking of multi-agent systems.