• Journal of the Institute of Electronics Engineers of Korea TE
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• v.37 no.4
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• pp.11-19
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• 2000

Changing from the industrial society to the knowledge based society, all industrial companies have faced the need of technology information management which is a knowledge of searching, gathering and analyzing technology information promptly and correctly to apply to their activities. Especially the research institutions in medium and smaller sized enterprises need the technology information management deeply because they have difficulty to find what is done or what is being done in which is related with their working. In spite of the importance of technology information is widespread, there is no course of academic study in korea to bring up the specialist dealing with technology information effectively. As the answer in this situation this paper is going to present and develop course curriculum for technology information special search man-power ; a course of study to bring up search man-power who have expert knowledge. The model of Course Curriculum which is developed in this paper will serve to make the searching expert of technology information in korea.

• Journal of the Korean Society for Library and Information Science
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• v.45 no.4
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• pp.77-102
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• 2011

The purpose of this study is to design, implement and evaluate a personalized search system using gathered information on users to provide more accurate search results. For this purpose, a hybrid-based user profile is constructed by using subject classification. In order to evaluate the performance of the proposed system, experts directly measured and evaluated MRR, MAP and usability by using the Korean journal articles of science and technology DB. Its performance was better than the general search system in the area of "Computer Science" and "Library and Information Science". Especially better results were shown when tested on ambiguous keywords. Evaluation through in-depth interviews proved that the proposed personalized search system was more efficient in looking up and obtaining information. In addition, the proposed personalized search system provided a variety of recommendation systems which proved helpful in navigating for new information. High user satisfaction ratings on the proposed personalized search system were another proof of its usefulness. In this study, we were able to prove through expert evaluation that the proposed personalized search system was more efficient in information retrieval.

• Journal of Internet Computing and Services
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• v.16 no.3
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• pp.43-57
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• 2015

In this thesis was conducted to propose a method for efficient information retrieval using concept lattices. Since this thesis designed a new system based on ordinary concept lattices, it has the same approach method as ontology, but this thesis proposes new concept lattices to be used by establishing collaborative relations between objects and concepts that users are likely to search information more efficiently. The system suggested by this thesis can be summarized as below. Firstly, this system leads to a collaborative search by using Three kinds of concepts, such as keyword concept lattices, which focus on input key words, expert concept lattices recommended by experts and theme concept lattices, and based on these 3 concept lattices, it will help users search information they want more efficiently. Besides, as the expert concept and the keyword concept become combined, further providing users with the frequency of keyword and the frequency of category, this system can function to recommend key words related to search words entered by users. Another function of this system is to inform users of key words and categories used in users' interested themes by using the theme concept lattices. Secondly, when there is not keyword entered by a user, it is possible for users to achieve the goal of search through the secondary search when this system provides them with key words related to the input keyword. Thirdly, since most of the information is managed while being dispersed, such dispersed and managed information not only has different expression methods but changes as time goes. Accordingly, By using XMDR for efficient data access and integration of distributed information, this thesis proposes a new technique and retrieval system to integrate dispersed data.

• Transactions of the Korean Society of Automotive Engineers
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• v.13 no.5
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• pp.163-170
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• 2005

Urban transit is a complex system that is combined electrically and mechanically, it is necessary to construct maintenance system for securing safety accompanying high-speed driving and maintaining promptly. Expert system is a computer program which uses numerical or non-numerical domain-specific knowledge to solve problems. In this research, we intend to develop the expert system which diagnose failure causes quickly and display measures. For the development of expert system, standardization of failure code classification system and creation of BOM(Bill Of Materials) have been first performed. Through the analysis of failure history and maintenance manuals, knowledge base has been constructed. Also, for retrieving the procedure of failure diagnosis and repair linking with the knowledge base, we have built RBR(Rule Based Reasoning) engine by pattern matching technique and CBR(Case Based Reasoning) engine by similarity search method. This system has been developed based on web to maximize the accessibility.

• Journal of Korean Society for Quality Management
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• v.18 no.2
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• pp.18-24
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• 1990

The location of inspection stations is a significant component of production systems. In this paper, a prototype expert system is designed for deciding the optimal location of inspection stations. The production system is defined as a single channel of n serial operation stations. The potential inspection station can be located after any of the operation stations. Nonconforming units are generated from a compound binomial distribution with known parameters at any given operation station. Traditionally Dynamic programming, Zero-one integer programming, or Non-linear programming techniques are used to solve this problem. However a problem with these techniques is that the computation time becomes prohibitively large when t be number of potential inspection stations are fifteen or more. An expert system has the potential to solve this problem using a rule-based system to determine the near optimal location of inspection stations. This prototype expert system is divided into a static database, a dynamic database and a knowledge base. Based on defined production systems, the sophisticated rules are generated by the simulator as a part of the knowledge base. A generate-and-test inference mechanism is utilized to search the solution space by applying appropriate symbolic and quantitative rules based on input data. The goal of the system is to determine the location of inspection stations while minimizing total cost.

• Journal of Institute of Control, Robotics and Systems
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• v.8 no.7
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• pp.589-598
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• 2002

The color measuring/matching expert system is implemented with a new color measuring method that combines intelligent algorithms with image processing techniques. Color measuring part of the proposed system preprocesses the scanned original color input images to eliminate their distorted components by means of the image histogram technique of image pixels, and then extracts RGB(Red, Green, Blue)data among color information from preprocessed color input images. If the extracted RGB color data does not exist on the matching recipe databases, we can measure the colors for the user who want to implement the model that can search the rules for the color mixing information, using the intelligent modeling techniques such as fuzzy inference system and adaptive neuro-fuzzy inference system. Color matching part can easily choose images close to the original color for the user by comparing information of preprocessed color real input images with data-based measuring recipe information of the expert, from the viewpoint of the delta Eformula used in practical process.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.11 no.1
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• pp.67-75
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• 1993

The urban expansion and the modernization of the urban infrastructure need a new technology to manage the facilities. The sewer management, one of the urban infrastructures, requires geographical information systems(GIS) for this purpose, and can be supported by the expert system. Consequently, non-professionals can use this system conveniently. In this study, the search and retrieving capacity of the relational database management system(DBMS) and the chain topology generator of the vector-based GIS were integrated into the sewer management system together with the expert knowledge. This system can predict the sewer volume charge by the simulation, and automate these procedures. This system is also user-friendly by using the user-interface. Finally, the system was applied to one of the Seoul drainage districts and tested.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.1
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• pp.7-12
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• 2005

This paper deals with the fuzzy modeling for the complex and uncertain nonlinear systems, in which conventional and mathematical models may fail to give satisfactory results. Finally, we provide numerical examples to evaluate the feasibility and generality of the proposed method in this paper. The expert system which introduces fuzzy logic in order to process uncertainties is called fuzzy expert system. The fuzzy expert system, however, has a potential problem which may lead to inappropriate results due to the ignorance of some information by applying fuzzy logic in reasoning process in addition to the knowledge acquisition problem. In order to overcome these problems, We construct fuzzy inference network by extending the concept of reasoning network in this paper. In the fuzzy inference network, the propositions which form fuzzy rules are represented by nodes. And these nodes have the truth values representing the belief values of each proposition. The logical operators between propositions of rules are represented by links. And the traditional propagation rule is modified.

• The Journal of the Korea Contents Association
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• v.3 no.3
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• pp.1-10
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• 2003

In this paper, we research on an evaluation model and method for the teaching and loaming using ICT. There are 8 types information search, information analysis, information guidance, collaboration research, discussion with expert, discussion by the web, pen pal by the web, information production in the teaching and teaming using ICT. we propose an evaluation model and method for information search and information analysis which teachers frequently use. Because an evaluation model and mend for the teaching and learning using ICT doesn’t exist, I expect that the evaluation model and method proposed in this paper is effective in the teaching and loaming using ICT.

• Journal of Oriental Neuropsychiatry
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• v.33 no.3
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• pp.227-239
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• 2022

Objectives: The purpose of this study was to develop a standardization manual for Emotion To Emotion therapy. In this study, the processes and categories derived through literature search related to the Emotion To Emotion treatments, were revised and supplemented by the expert FGI (Focus Group Interview). Afterwards, the expert Delphi was conducted, to develop a standard manual for the disease types, purpose, and method of Emotion To Emotion therapy. Methods: In this study, literature analysis and expert Delphi, as a quantitative research method, were conducted, and the expert Focus Group Interview (FGI) was conducted as a qualitative study. The manual was completed by leading the consensus, on the standardization manual for Emotion To Emotion therapy. After that, a clinical expert Delphi was conducted to test the reliability as well as validity of the manual, through quantitative consensus on the manual of the Emotion To Emotion therapy. Results: First, as a result of literature studies, to date, studies related to Emotion To Emotion therapy have been qualitatively and quantitatively limited, as comparative literature related to clinical cases. Second, through expert FGI, the manual was structured with eight sub-factors for the indication diagnosis, six sub-factors for the implementation method, and 13 detailed factors. Third, through an expert Delphi, the consensus did the factor of indication, implementation methods, and implementation process, and developed a standardization manual for Emotion To Emotion therapy ver 1.0. Conclusions: Through literature analysis, expert FGI, and expert Delphi, the Emotion To Emotion therapy standardization manual ver 1.0 was completed, and will proceed with the revision and improvement report.