• Construction Engineering and Management
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• v.13 no.6
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• pp.41-45
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• 2012

Nowadays the Project Management is increasingly adapted into almost all the fields in business management processes among leading companies both in Korea and overseas. However its actual practices are rare to be found. Among the Project Life Cycle, this report covers the real cases of the PMBOK knowledge areas in NPP Architect Engineering. The areas of the Construction, Start-up and Operation will be exception of the cases. By way of analyzing the KEPCO ENC's Processes/Procedures/Systems and the ones in PMBOK Guide, this report will show the contents in the PMBOK Guide is rather practical than theoretical. Meanwhile, implications whether the conclusions of this report might be applied to other industries such as general construction, non-nuclear plants, etc. should be left behind to follow-up studies.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.68-69
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• 2018

The construction drawing is a collection of knowledge that has accumulated knowledge and experience of designers and is highly valuable for recycling in the future. BIM is a process and technology that acquires and manages the information needed for the whole life cycle of a building. In order to recycle digitalized 2D drawings in BIM Tool, it is required to use 3D information based on the drawing information to save and reuse them, but there is little research on related methods or system development. In this study, 3D elements are created based on 2D drawing information, and libraries are constructed, and BIM Tool is used to improve the recyclability of drawing information.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.273-278
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• 2001

Since its introduction in mid 1990s, Financial Crisis in Korea, knowledge management (KM) has been considered as a new, optimal way of corporate management style. And a large number of researches, either theoretically or empirically, were carried out in order to find out what the key success factors will be in common. However, though key success factors are extracted, it can hardly be a successful project if those are not well matched for the unique industry characteristics, still more in construction industry. Even we can find some KM precedents in construction industry, it can hardly be revealed how far they exerted themselves in order to match key factors with industry characteristics. Hence, at the dawn of implementing KM, this research work will scrutinize key success factors (KSFs) derived from previous studies and funnel those KSFs into construction domain. Then rearranged KSFs will be proposed with each key issues. Therefore, this article can contribute to setting strategies for KM in construction sector.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.516-524
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• 2022

The construction industry is considered the most hazardous industry globally. Therefore, safety education is crucial for raising the safety awareness of construction workers working at construction sites and creating a safe working environment. However, the current safety education method and tools cannot provide trainees with realistic and practical experiences that might help better safety awareness in practice. A metaverse, a real-time network of 3D virtual worlds focused on social connection, was created for more interactive communication, collaboration, and coordination between users. Several previous studies have noted that the metaverse has excellent potential for improved safety education performance, but its required functions and practical applications have not been thoroughly researched. In order to fill the research gap, this paper reviewed the potential benefits of a metaverse based on the current research and suggested its application for safety education purposes. This paper scrutinized the metaverse's key functions, particularly its information and knowledge sharing function and reality capture function. Then, the authors created a metaverse prototype based on the two key functions described above. The main contribution of this paper is reviewing the potential benefits of a metaverse for safety education. A realistic and feasible metaverse platform should be developed in future studies, and its impact on safety education should be quantitatively verified.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.261-264
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• 2002

There is growing importance for intellectual capital, so corporations are developing Knowledge Management System (KMS) for Knowledge Management. There are two way in performing Knowledge Management, that is, Information Technology(IT) approach and Non-IT approach. IT approach focuses on developing KMS, and Non-IT approach people, business process, organizational culture and policy. According to interviews with experts and people in charge of knowledge management divisions, the IT approach and Non-IT approach should be adopted simultaneously for effective knowledge management. And, more focus should be placed especially on the Non-IT approach than IT approach for successful knowledge management. This research analyzed success and failure factors in knowledge management by questionnaire for experts and employees.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.39 no.7
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• pp.720-728
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• 1990

A learning control method is proposed in this paper, using a knowledge base which contains control rules, data, and patterns of the past experience of a plant. The knowledge for plant control is retrieved from measurement data during operation and continually modified after control performance evaluation. A control method is proposed using tinually modified after control performance evaluation. A control method is proposed using fuzzy model of the plant and a recursive statistic decision method of fuzzy subset for control rule generation. Also, the resulting knowledge-based control algorithm has been applied to aprocess and its performance improvement and proper generation of appropriate control rules have been verified.

• Journal of the Korea Society of Computer and Information
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• v.21 no.5
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• pp.11-18
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• 2016

Linked Data is a web standard data definition method devised to connect, expand resources with a standardized type. Linked Data built in various areas expands existing knowledge through an open data cloud like LOD(Linked Open Data). A project to link and service existing knowledge through LOD is under way worldwide. However, LOD project in domestic is being participated in a specific field to the level of research. In this paper, we suggests a method to build the area of technical knowledge like legislations in type of Linked Data, and distribute such Linked Data built to LOD. The construction method suggested by this paper divides knowledge of legislations in structural, semantic, and integrated perspective, and builds each of them by converting to Linked Data according to the perspective. Also, such built Linked Legal Data prepares to link knowledge in a standardized type by distributing them onto LOD. Built Linked Legal Data are equipped with schema for link service in various types, and give help increase understand the access type to existing legal information.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.211-218
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• 2001

This paper introduces a method of constructing expert systems in an integrated environment for automatic software design. This integrated environment may be applicable from top-level system architecture design, data flow diagram design down to flow chart and coding. The system is integrated with three CASE tools, FSD (Functional Structure Diagram), DFD (Data Flow Diagram) and structured chart PAD (Problem Analysis Diagram), and respective expert systems with automatic design capability by reusing past design. The construction way of these expert systems is based on systematic acquisition of design knowledge stemmed from a systematic design work process of well-matured developers. The design knowledge is automatically acquired from respective documents and stored in the respective knowledge bases. By reusing it, a similar software system may be designed automatically. In order to develop these expert systems in a short period, these design knowledge is expressed by the unified frame structure, functions of th expert system units are partitioned mono-functions and then standardized components. As a result, the design cost of an expert system can be reduced to standard work procedures. Another feature of this paper is to introduce the integrated environment for automatic software design. This system features an essentially zero start-up cost for automatic design resulting in substantial saving of design man-hours in the resulting in substantial saving of design man-hours in the design life cycle, and the expected increase in software productivity after enough design experiences are accumulated.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.9-18
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• 2016

The railroad is one of the most popular means of transport. Howerver, railroad agencies are managing the railroad information and provide its service respectively. That is, because of managing the different information and its type, The user will not receive the correct and integrated information. In this study, We figure out the needs of passengers that they want in railroad service and seek an integrated service plan that railroad passengers can use the railroad information service at a time, at a glance and in one place. Also, we investigate the knowledge-base construction to provide a knowledge map service to railroad passengers.

• Journal of KIISE
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• v.42 no.8
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• pp.1065-1070
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• 2015

The performance of many natural language processing applications depends on the knowledge base as a major resource. WordNet, YAGO, Cyc, and BabelNet have been extensively used as knowledge bases in English. In this paper, we propose a method to construct a YAGO-style knowledge base automatically for Korean (hereafter, K-YAGO) from Wikipedia and YAGO. The proposed system constructs an initial K-YAGO simply by matching YAGO to info-boxes in Wikipedia. Then, the initial K-YAGO is expanded through the use of a machine learning technique. Experiments with the initial K-YAGO shows that the proposed system has a precision of 0.9642. In the experiments with the expanded part of K-YAGO, an accuracy of 0.9468 was achieved with an average macro F1-measure of 0.7596.