• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.47-73
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• 2020

KTX rolling stocks are a system consisting of several machines, electrical devices, and components. The maintenance of the rolling stocks requires considerable expertise and experience of maintenance workers. In the event of a rolling stock failure, the knowledge and experience of the maintainer will result in a difference in the quality of the time and work to solve the problem. So, the resulting availability of the vehicle will vary. Although problem solving is generally based on fault manuals, experienced and skilled professionals can quickly diagnose and take actions by applying personal know-how. Since this knowledge exists in a tacit form, it is difficult to pass it on completely to a successor, and there have been studies that have developed a case-based rolling stock expert system to turn it into a data-driven one. Nonetheless, research on the most commonly used KTX rolling stock on the main-line or the development of a system that extracts text meanings and searches for similar cases is still lacking. Therefore, this study proposes an intelligence supporting system that provides an action guide for emerging failures by using the know-how of these rolling stocks maintenance experts as an example of problem solving. For this purpose, the case base was constructed by collecting the rolling stocks failure data generated from 2015 to 2017, and the integrated dictionary was constructed separately through the case base to include the essential terminology and failure codes in consideration of the specialty of the railway rolling stock sector. Based on a deployed case base, a new failure was retrieved from past cases and the top three most similar failure cases were extracted to propose the actual actions of these cases as a diagnostic guide. In this study, various dimensionality reduction measures were applied to calculate similarity by taking into account the meaningful relationship of failure details in order to compensate for the limitations of the method of searching cases by keyword matching in rolling stock failure expert system studies using case-based reasoning in the precedent case-based expert system studies, and their usefulness was verified through experiments. Among the various dimensionality reduction techniques, similar cases were retrieved by applying three algorithms: Non-negative Matrix Factorization(NMF), Latent Semantic Analysis(LSA), and Doc2Vec to extract the characteristics of the failure and measure the cosine distance between the vectors. The precision, recall, and F-measure methods were used to assess the performance of the proposed actions. To compare the performance of dimensionality reduction techniques, the analysis of variance confirmed that the performance differences of the five algorithms were statistically significant, with a comparison between the algorithm that randomly extracts failure cases with identical failure codes and the algorithm that applies cosine similarity directly based on words. In addition, optimal techniques were derived for practical application by verifying differences in performance depending on the number of dimensions for dimensionality reduction. The analysis showed that the performance of the cosine similarity was higher than that of the dimension using Non-negative Matrix Factorization(NMF) and Latent Semantic Analysis(LSA) and the performance of algorithm using Doc2Vec was the highest. Furthermore, in terms of dimensionality reduction techniques, the larger the number of dimensions at the appropriate level, the better the performance was found. Through this study, we confirmed the usefulness of effective methods of extracting characteristics of data and converting unstructured data when applying case-based reasoning based on which most of the attributes are texted in the special field of KTX rolling stock. Text mining is a trend where studies are being conducted for use in many areas, but studies using such text data are still lacking in an environment where there are a number of specialized terms and limited access to data, such as the one we want to use in this study. In this regard, it is significant that the study first presented an intelligent diagnostic system that suggested action by searching for a case by applying text mining techniques to extract the characteristics of the failure to complement keyword-based case searches. It is expected that this will provide implications as basic study for developing diagnostic systems that can be used immediately on the site.

• The KIPS Transactions:PartB
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• v.9B no.3
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• pp.263-270
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• 2002

Most conventional systems of fire fighting control in a ship have been based on rule-based system in which expert knowledges are expressed with production rules. Renewing and adding of rules is needed continuously for the improvement of the system capability in an already build-up system and such adding and renewing procedures could hinder users from fluent utilization of a system. The author proposes an advanced fire fighting control intelligent system (A-FFIS) using rule-based and carte-based reasoning by clustering to implement conventional hybrid system (H-FFIS). Compared with H-FFIS, new approach with A-FFIS shows that the system proposed here improves fire detection rate and reduces fire detection time.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.17 no.32
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• pp.81-94
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• 1994

The objective of this case study is to describe ins and outs of a production and information management system developed for footwear industry (based on MRP system). First, basic structure of the total system, configuration of sub-system modules, specification and configuration of software/hardware used in this system are presented. Second, design of the total system flow, configuration of code system, file description used in this system are explained. Third, function of software modules and principal algorithms and basic data structuring technigues are discussed. Finally, inplementation plan and output reports are presented.

• Journal of Applied Reliability
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• v.13 no.4
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• pp.287-298
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• 2013

This paper presents a case study of PSD(Platform Screen Door) system assurance based on EN50126 life-cycle stage. By applying this system assurance, the accidents related to urban light transit railway especially that caused casualties could be reduced tremendously. This case study contributes significantly to the reliability, availability, maintainability and safety of the PSD system. Request For Proposal (RFP) of a rail road operator in which required by RAMS is prepared in which to ensure all system assurance activity and safety assessment are compulsory. The step-by-step activities and related deliverables are used which include functional analysis, FMECA, hazard identification analysis, system hazard analysis, maintainability analysis, FRACAS, and finally verification and validation of the system.

• Journal of Korea Multimedia Society
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• v.9 no.9
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• pp.1095-1106
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• 2006

Recently, many effort is demanded for appropriate operation and management of the Electronic commerce system. Electronic commerce system must provide information satisfying customers. To do this, many kinds of studies are being advanced about electronic commerce system using intelligent agent technology. In this paper, We propose a support system for goods based on Case-Based Reasoning(CBR) and multi-crossselling technology. The system can supply the information of goods that is suitable about customer need under specification condition with CBR technique and can search several goods approximate to customer pattern using Multi-crossselling technique.

• International Journal of CAD/CAM
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• v.2 no.1
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• pp.69-75
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• 2002

This paper presents the development of an Intelligent Cavity Layout Design System (ICLDS) for multiple cavity injection moulds. The system is intended to assist mould designers in cavity layout design at concept design stage. The complexities and principles of cavity layout design as well as various dependencies in injection mould design are introduced. The knowledge in cavity layout design is summarized and classified. The functionality, the overall structure and general process of ICLDS are explained. The paper also discusses such issues as knowledge representation and case-based reasoning used in the development of the system. The functionality of the system is illustrated with an example of cavity layout design problem.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2254-2258
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• 2003

In recent years, the case to install small water treatment facility to every local area has increased. A key issue in the successful implementation of the control systems for the water treatment plants is the choice of control architecture. Within the framework of distributed control system(DCS), this paper presents a new development of intelligent control module and its novel application to open control architecture for water treatment plants. This control system so called NCS(Network Based Control System) with standard networks system with LonTalks protocol of ANSI/EIA 709.1, regulatory control function and information dispatch function has suitable functionality to operate these distributed water treatment facility effectively. This paper describes the case where NCS is applied for the filters system in water treatment facility of Heong Sung area.

• Journal of Technology Innovation
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• v.7 no.1
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• pp.60-77
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• 1999

This study addresses the question of how to design the research system for national R&D programs that aim to promote creative innovation. This paper attempts to analyze the case of Creative Research Initiatives(CRI), a new national R&D program recently launched by the Ministry of Science and Technology of Korea. CRI is a strategic program intended to shift the national R&D paradigm from imitative innovation to creative innovation. The key features of the research system of the program include: a research-centered system, long-term research funding, the sunset approach, a dynamic and flexible research organization, and a centralized research system. This paper suggests theoretical rational of these key features based on the literature review on creative innovation. Based on an analysis of the results of implementing the CRI in 1997, this paper also examines how the research system design is reflected and embodied in the program implementation process. Finally, policy implications and future research directions are also discussed.

• Journal of the Korea Computer Industry Society
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• v.3 no.3
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• pp.363-368
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• 2002

Electronic commerce system must provide information satisfying customers. To do this, many kinds of studies are being advanced actively about electronic commerce support system using intelligent agent technology. This paper suggests electronic commerce system using intelligent multi agent based on Case base and Log analysis. This system can provide suitable information to customers by using knowledge and traffic and system information analysis.

• The Journal of Korean Medicine
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• v.41 no.2
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• pp.122-136
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• 2020

Objectives: A case report is a detailed report of the symptoms, signs, diagnosis, treatment, and follow-up of an individual patient. The purpose of this study is to evaluate the quality of case reports from the Journal of Korean Medicine by the CARE (CAse REport) Guideline. Methods: Case reports published in the Journal of Korean Medicine from January 2016 to March 2020 were searched from Oriental Medicine Advanced Searching Integrated System (OASIS). We assessed the quality of reporting based on CARE (CAse REport) guideline as 'Sufficient', 'Not-Sufficient' and 'Not-Report'. Results: A total of 22 case reports were finally included for the assessment. The reporting items were reported as of reporting quality. After checking the result, there was a deviation in the sub-item reporting rate by a maximum 89.29%, a minimum 66.67% and a median 82.14% in case reports. Also after checking the quality in case reports by 28 detailed items in CARE guidelines, there were not reported 77% or more in the 5 sub-items 'Intervention adherence and tolerability', 'Informed consent', 'Adverse and unanticipated events', 'Diagnostic challenges', 'Patient perspective'. Conclusion: There is a need to improve the quality of case reports in the journal of Korean Medicine based on various studies using CARE guideline.