• Journal of Engineering Education Research
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• v.20 no.5
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• pp.50-58
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• 2017

The purpose of this study is to explore the core competencies of the Fourth Industrial Revolution in the major newspaper articles of social network analysis and to examine the core competencies required by each field and target. To do this, we reviewed prior research focusing on core competency concepts and core competencies of engineering students, and analyzed 227 articles related to core competencies of the 4th Industrial Revolution, focusing on five major newspapers. Through analysis, we analyzed social network with 118 refined core competency keywords. As a result of the research, it was found that core competencies of the 4th Industrial Revolution are the degree centrality in terms 'creativity', 'problem solving ability', 'convergence ability', 'collaboration ability', 'conductivity', 'software ability', 'human literacy', 'personality' order. Also, as a result of the analysis of the ego centric network by field and target, the required core competencies of university and industry were found to be different. Through these discussions, it is necessary to restructure the core competence of engineering students in order to nurture the engineering talents necessary for the 4th Industrial Revolution.

• Proceedings of the KIEE Conference
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• 2001.07b
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• pp.762-764
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• 2001

In order to evaluate the structural safety from an earthquake, the seismic analysis of large structures such as GIS in electric power substations and equipments for nuclear power plant has been carried out because the seismic qualification by experiment is very expensive. This paper presents the seismic analysis of the 72.5kV GIS produced by LGIS. The finite element model of the GIS is developed and analyzed using ANSYS. The model consists of beam elements for the enclosures and mass elements for the conductors and the mechanisms. Using the transient analysis under seismic load, the structural safety is verified.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.3
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• pp.182-197
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• 2016

One of the distinctive characteristics of industrial engineering (IE) is its multidisciplinarity. This paper explores the multidisciplinary nature of IE using journal citation network analysis. Using the relatedness indexes of IE journals obtained from journal citation report (JCR), we firstly construct the IE network only composed of 26 IE journals. The resulting IE network is partitioned into three sub-networks: management engineering, manufacturing/quality, and ergonomics. We then propose the IE convergence network which includes 81 related journals in other disciplines as well as 26 IE journals. Scrutinizing the IE convergence network reveals that IE has a high degree of interactions with seven disciplines : Operations Research and Management Science, Statistics and Probability, Manufacturing Engineering, Computer Science, Engineering Design, Business Management, Human Factors and Ergonomics. We investigate the contributions of the related disciplines to IE as well as contributions of IE to the related disciplines. The role of IE journals in exchanging knowledge with related disciplines is also identified by brokerage analysis. It is shown that visualizing and analyzing the IE convergence network can provide an excellent overview of the multidisciplinary structure of IE, which can help IE researchers easily grasp the state-of-the art of IE research.

• Proceedings of the Safety Management and Science Conference
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• 2006.04a
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• pp.51-56
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• 2006

Recently data mining techniques have been used for analysis and classification of data related to industrial accidents. The main objective of this study is to compare performance of algorithms for data analysis of industrial accidents and this paper provides a comparative analysis of 5 kinds of algorithms including CHAID, CART, C4.5, LR (Logistic Regression) and NN (Neural Network) with ROC chart, lift chart and response threshold. In this study, data on 67,278 accidents were analyzed to create risk groups for a number of complications, including the risk of disease and accident. The sample for this work chosen from data related to manufacturing industries during three years $(2002\sim2004)$ in korea. According to the result analysis, NN has excellent performance for data analysis and classification of industrial accidents.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.4
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• pp.249-255
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• 2016

Recently, transaction data is accumulated everywhere very rapidly. Association analysis methods are usually applied to analyze transaction data, but the methods have several problems. For example, these methods can only consider one-way relations among items and cannot reflect domain knowledge into analysis process. In order to overcome defect of association analysis methods, we suggest a transaction data analysis method based on probabilistic graphical model (PGM) in this study. The method we suggest has several advantages as compared with association analysis methods. For example, this method has a high flexibility, and can give a solution to various probability problems regarding the transaction data with relationships among items.

• The Journal of Information Systems
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• v.24 no.4
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• pp.61-81
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• 2015

Purpose Seoul Digital Industrial Complex has remarkably grown both quantitatively and qualitatively in short period of time since it started restructuring project in 1997. It's also not few that there were various challenges and difficulties in this industrial complex due to fast growth in short-term, such as the deficient amenities, noncooperation among the related organizations. Now, it's time to overcome these challenges and difficulties to establish new strategy for the sustainable growth and development of this Industrial Complex. Methodology There are some previous researches but almost none of them considered the priority order of the development strategy having reflected the needs of industrial complex in point of customer. In this regard, this study suggests the development strategy of Seoul Digital Industrial Complex by supplementing the limits of proceeding researches and using the combined SWOT/AHP analysis theory. Findings Based on the final analysis result of survey by combined SWOT/AHP method, this study suggests the priority order of 4 development strategies for Seoul Digital Industrial Complex, such as SO strategy, ST strategy, WO strategy and WT strategy.

• Journal of the Korean Society of Safety
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• v.20 no.4 s.72
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• pp.130-137
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• 2005

Decision tree algorithm is one of the data mining techniques, which conducts grouping or prediction into several sub-groups from interested groups. This technique can analyze a feature of type on groups and can be used to detect differences in the type of industrial accidents. This paper uses C4.5 algorithm for the feature analysis. The data set consists of 24,887 features through data selection from total data of 25,159 taken from 2 year observation of industrial accidents in Korea For the purpose of this paper, one target value and eight independent variables are detailed by type of industrial accidents. There are 222 total tree nodes and 151 leaf nodes after grouping. This paper Provides an acceptable level of accuracy(%) and error rate(%) in order to measure tree accuracy about created trees. The objective of this paper is to analyze the efficiency of the C4.5 algorithm to classify types of industrial accidents data and thereby identify potential weak points in disaster risk grouping.

• Korea Trade Review
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• v.46 no.2
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• pp.323-335
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• 2021

With the advent of the 4th Industrial Revolution, there is a rising interest in the impact of these changes on Korea's trade. While the previous studies related to the 4th Industrial Revolution are very limited in the field of trade research, this study attempts an empirical analysis regarding the effect of the use of the 4th Industrial Revolution technology on the performance of exporters, based on the data of the Survey of Business Activities during 2017-2019 by the Korean government statistical office. Through the empirical analysis in combination with the propensity score matching (PSM) and the difference-in-difference (DID) analysis, this research confirms that the use of the 4th Industrial Revolution technology has a positive effect on the export performance of Korean exporters.

• Proceedings of the IEEK Conference
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• 2004.06a
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• pp.273-276
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• 2004

Home networking is the collection of elements that process, manage, transport, and store information, enabling the connection and integration of multiple computing, control, monitoring, and communication devices in the home. In this paper, we review the state of the home networking technologies and analyse the trends of the patent information.

• Journal of Korean Institute of Industrial Engineers
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• v.22 no.2
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• pp.277-302
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• 1996

The overall performance of BISDN depends significantly on the interconnection network or the switch fabric. Hence, it is extremely important to evaluate the performance of the network or the fabric. The well developed performance models also provide insight into the factors that determine design tradeoffs as well as quantitative estimates of their importance. The objective of this paper is to investigate and critically compare all the developed performance analysis models of FPS according to internal switch fabric structure, traffic assumptions, performance measures, methodologies, etc. FPSs are described according to their internal fabric structure. Brief history of FPS performance analysis is mentioned and performance analysis modeling is discussed.