• Journal of the Korean Society of Safety
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• v.32 no.5
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• pp.88-95
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• 2017

As the safety fields are expanding to a variety of industrial fields, safety technology has been developed by convergence between industrial safety fields such as mechanics, ergonomics, electronics, chemistry, construction, and information science. As the technology convergence is facilitating recently advanced safety technology, it is important to explore the trends of safety technology for understanding which industrial technologies have been integrated thus far. For studying the trends of technology, the patent is considered one of the useful sources that has provided the ample information of new technology. The patent has been also used to identify the patterns of technology convergence through various quantitative methods. In this respect, this study aims to identify the convergence patterns and fields of safety technology using association rule mining(ARM)-based patent co-classification(co-class) analysis. The patent co-class data is especially useful for constructing convergence network between technological fields. Through linkages between technological fields, the core and hub classes of convergence network are explored to provide insight into the fields of safety technology. As the representative method for analyzing patent co-class network, the ARM is used to find the likelihood of co-occurrence of patent classes and the ARM network is presented to visualize the convergence network of safety technology. As a result, we find three major convergence fields of safety technology: working safety, medical safety, and vehicle safety.

• Journal of Engineering Education Research
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• v.19 no.4
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• pp.60-71
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• 2016

Due to the development of science and technology, diversity of fusion technologies has become a major concern. Especially the application of the convergence education became necessary in the curriculum of engineering department. The purpose of this paper is to extract characteristics of convergence education among engineering majors and to present a model of applicable convergence education. The researchers collected studies of past 15 years in domestic and international journals in related themes. Academic research information systems, DBpia, e-article, Academic Search Complete were used for keyword searches. 43 Korean papers and 25 international papers were analyzed for the study. The results showed that the convergence education models for college of engineering can be classified into the three types: the cooperative convergence, multidisciplinary convergence, and transdisciplinary convergence. Based on the results, a convergence education model is suggested for the schools of engineering in Korea.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.3
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• pp.209-221
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• 2016

As the ICT is an industry which is the basis of the technology convergence, it is the driving force of development for new business opportunities and existing industries. But, most of the existing studies for ICT convergence have identified the trend for convergence in technological terms. So, it is difficult to identify the convergence trend in the subject innovation perspective which leads the innovation activities In the ICT industry. The newly entered companies in the ICT industry are key indicators to identify the convergence trend. They have two specific characteristics that show the wide range of the convergence technology and the application rate of the convergence. Because previous studies did not take into account these two characteristics of the newly entered companies, so it is hard to analyze the exact convergence trend. Therefore, in this paper, we classify the patents for the ICT industry depending on the subject innovation. Then, we deduct the core convergence technology in the ICT industries and application area of the non-ICT industries.

• Journal of applied mathematics & informatics
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• v.27 no.3_4
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• pp.763-771
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• 2009

T.H. Kim, H.K. Xu, [Convergence of the modified Mann's iteration method for asymptotically strict pseudo-contractions, Nonlinear Anal.(2007),doi:l0.l016/j.na.2007.02.029.] proved the strong convergence for asymptotically strict pseudo-contractions by the classical CQ iterative method. In this paper, we apply the monotone CQ iterative method to modify the classical CQ iterative method of T.H. Kim, H.K. Xu, and to obtain the strong convergence theorems for asymptotically strict pseudo-contractions. In the proved process of this paper, Cauchy sequences method is used, so we complete the proof without using the demi-closedness principle, Opial's condition or others about weak topological technologies. In addition, we use a ingenious technology to avoid defining that F(T) is bounded. On the other hand, we relax the restriction on the control sequence of iterative scheme.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.3
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• pp.198-203
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• 2013

Industry convergence is the inexorable trend, which has become a fundamental concept to understand the industrial dynamics and to develop business strategies. However, most of the previous studies on convergence have dealt with the issues at the macro-level (technology- or industry-level), little attention has been paid to the analysis of convergence at the micro level (firm-level). Recognizing that firms are the principal agents that develop fusion technologies, it is encouraged to help firms to work together for technology convergence. Therefore, this research proposes a collaboration model for SMEs, since SMEs tend to have novel ideas and are flexible enough to make fusion-technology. To do this, we conducted a survey for Korean SMEs and analyzed their successful cases of collaboration, which was used as a basis to develop the model. The research results will help develop strategy or policy to promote the collaboration between SMEs and ultimately to make a fusion-technology.

• Journal of the Korea Convergence Society
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• v.12 no.10
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• pp.37-43
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• 2021

This study proposed an effective automatic classification technique to identify dropout patterns of university students, and based on this, an intelligent recommender system to prevent dropouts. To this end, 1) a data processing method to improve the performance of machine learning was proposed based on actual enrollment/dropout data of university students, and 2) performance comparison experiments were conducted using five types of machine learning algorithms. 3) As a result of the experiment, the proposed method showed superior performance in all algorithms compared to the baseline method. The precision rate of discrimination of enrolled students was measured to be up to 95.6% when using a Random Forest(RF), and the recall rate of dropout students was measured to be up to 80.0% when using Naive Bayes(NB). 4) Finally, based on the experimental results, a method for using a counseling recommender system to give priority to students who are likely to drop out was suggested. It was confirmed that reasonable decision-making can be conducted through convergence research that utilizes technologies in the IT field to solve the educational issues, and we plan to apply various artificial intelligence technologies through continuous research in the future.

• Journal of Convergence for Information Technology
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• v.9 no.7
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• pp.8-13
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• 2019

Recently, In line with the recent trend of the fourth industrial revolution, many companies and institutions have been increasingly applying automated technologies using artificial intelligence to various tasks. Particularly, due to the government's 52-hour workweek system, companies are increasingly struggling with manpower management. Therefore, they are interested in RPA (Robotic Process Automation) for office environment automation for efficient manpower management. It is being introduced in the back-office business in credit card companies, bank, insurance. These RPA solutions require AI-based recognition technology, scripting technology, business software API-related technologies, and various solutions such as Automate One, Automation Anywhere, UiPath, and Blue Prism are provided. This paper analyzes and describes the technology of RPA solution, the market trend, and the efficiency of RPA adoption.

• Journal of Convergence for Information Technology
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• v.8 no.1
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• pp.1-7
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• 2018

A smart-home is considered as one of most important alternatives of future homes with rising attention on IT technologies. The purpose of the study was to analyse the trend of smart-home technologies and to see how they reflect changing lifestyle needs. The research method includes a content analysis and a case study. The result shows that 'automation' functions are 35% of total. 'Health'(19%) and 'entertainment'(15%) functions are followed by 'Energy'(15%), 'Information'(11%). and 'relationship(6%).' This study is meaningful in that it examined smart-home technologies centering on the needs of residents rather than technological perspectives. Further researches on specialized smart-homes should be continued reflecting segmented needs of residents such as a medical home and a energy saving home etc.

• The Journal of the Convergence on Culture Technology
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• v.6 no.3
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• pp.307-315
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• 2020

In this study, we investigate child-care teachers' perceptions of emerging technologies, with a particular focus on fields connected to the Fourth Industrial Revolution. More specifically, we explore how satisfied child-care teachers are with existing educational tools, whether they are interested in or willing to use the latest technology within child care, and their perceived likelihood of adopting these new technologies within child care sites. A total of 181 directors and teachers working at child care institutions in Seoul and Gyeonggi Province participated in the survey. The findings are as follows: firstly, child-care teachers were moderately satisfied with current teaching methods and their effects; secondly, child-care teachers were not especially interested in emerging technologies; thirdly, although interest in applying the latest technology to child care sites was moderately high, refusal to use this technology was also somewhat high; fourthly, many agreed that this technology would eventually become common. This study is expected to provide useful information to those planning to introduce the latest technology to child care sites and basic data to improve teacher training.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.31-36
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• 2019

New technologies are being created and resulted as new types of fusion complex as the barrier between technology and industries are being broken and convergence is becoming more activated in the global economy of the era of fourth industrial revolution. Korea government is trying to foster innovative technologies for new technologies and new services to prepare for the fourth industrial revolution and gain global competitiveness, but many regulations make it difficult to verify and commercialize them. In response, the Korea government is pushing for the introduction of a regulation-free special zone system in which sandboxes are applied so that new technology and new service-based innovation projects can be freely commercialized through experiment and demonstration. This study aims to examine the limitations of the special zones for regional specialization development applied to the zones that are applied uniformly throughout the country and suggest ways for the deregulation special zone to be fostered as an empirical test bed based on new technologies and as a base for regional innovation.