• Journal of The Korean Association of Information Education
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• v.24 no.4
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• pp.313-325
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• 2020

There is a growing interest and need for the educational use of artificial intelligence as artificial intelligence technologies such as machine learning and deep learning, the core technologies of the intelligent information society, owing to the recent innovative technological advances. Consequently, the Ministry of Education announced the First Information Education Comprehensive Plan for introducing artificial intelligence competence enhancing education into the education field in preparation for the intelligent information society based on artificial intelligence technologies. Therefore, this study collected 416 overseas papers related to the educational use of artificial intelligence from the Web of Science (WoS) in order to explore the potential for using artificial intelligence educationally. This study analyzed the research status and research topic by country, citation counts, network analysis on keywords of the collected data by using the bibliometrix package of R program. Through this, it was possible to identify the research trend on the educational use of artificial intelligence, currently being conducted in foreign countries. It is believed that it will be possible to obtain implications for the topics and directions to be studied in the information education for strengthening artificial intelligence education based on the results of this study.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.24 no.4
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• pp.301-317
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• 2013

This study investigated general problems concerning the physical education field in the KDC 6th edition based on comparative analysis of academic characteristics and classification system, and suggested some ideas for the improvements of them. Results of this study are is summarized as follows. First, while the academic classification divided items focusing on theoretical disciplines such as physical education, sociology, or business administration, the library classification divided them into details according to sport entries. Second, We examined the classification status of the physical education field of the collection database in the National Library of Korea. The number of physical education field data was 38,585, and of them, that of books having classification codes starting with 692(physical education, sports) was 22,870. This shows that data actually have been published mainly based on academic characteristics rather than sport entries, which causes a problem due to concentration of many data on one classification code. Therefore, this study analyzed keywords around these classification codes. Third, modified classification of items was basically performed through the academic system of the physical education and the keyword analysis, and the typical KDC classification system was maintained as much as possible.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.7
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• pp.371-378
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• 2017

Recently, with the spread of smart device and the introduction of web services, the data is rapidly increasing online, and it is utilized in various fields. In particular, the emergence of social media in the big data field has led to a rapid increase in the amount of unstructured data. In order to extract meaningful information from such unstructured data, interest in big data technology has increased in various fields. Big data is becoming a key resource in many areas. Big data's prospects for the future are positive, but concerns about data breaches and privacy are constantly being addressed. On this subject of big data, where positive and negative views coexist, the research of analyzing people's opinions currently lack. In this study, we compared the changes in peoples perception on big data based on unstructured data collected from the social media using a text mining. As a results, yearly keywords for domestic big data, declining positive opinions, and increasing negative opinions were observed. Based on these results, we could predict the flow of domestic big data.

• Clinical and Experimental Pediatrics
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• v.58 no.12
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• pp.491-500
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• 2015

Purpose: To investigate the caustic ingestion in children among different continents according to demographic characteristics (core purpose), main symptoms, common caustic agents, signs and symptoms, management, treatment and complications. Methods: This systematic review was performed by searching the databases Science Direct, ProQuest, Google Scholar, and PubMed, electronically and manually. We included studies that were published from 1980 to 2013, at University of Medical Sciences of Tabriz, Iran. A strategic search was performed with keywords including caustic, corrosive, ingestion and children, and was limited to articles in English and Persian. Statistical analysis was performed by SPSS ver. 18. Results: Of 63 selected articles of caustic ingestion with 9,888 samples, the proportion of Africa was 3 articles (4.8%) and 95 samples (1%), America 9 articles (14.3%) and 305 sample (3%), Asia 29 articles (46%) and 2,780 samples (28.1%), Europe 17 articles (27%) and 3,002 samples (30.4%), and Oceania 5 articles (7.9%) and 3,706 samples (37.5%). The average age was in the Africa $3.07{\pm}2.02years$, America $3.17{\pm}1.83years$, Asia $3.34{\pm}1.58years$, Europe $3.58{\pm}2.09years$ and Oceania $3.52{\pm}2.02years$. Sex distribution was in Africa 76 males (0.91%) and 19 females (0.23%), America 49 males (0.58%) and 41 females (0.49%), Asia 1,575 males (18.76%) and 1,087 females (12.95%), Europe 1,018 males (12.13%) and 823 females (9.8%), and Oceania 1,918 males (22.85%) and 1,788 females (21.3%). Statistical analysis of the data indicated higher consumption in Europe and Oceania in the boys with higher average age of years. Conclusion: The comparison of caustic ingestion indicated that the cause substances of caustic ingestion in children are different among continents, therefore prevention strategy and different treatment guidelines among continents will be needed.

• Journal of Korea Technology Innovation Society
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• v.20 no.3
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• pp.576-606
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• 2017

It is more salient in the high-tech industry to cooperate even among competitors in order to promptly respond to the changes in product architecture. In this sense, 'co-opetition,' which is the combination word between 'cooperation' and 'competition,' is the new business term in the strategic management and represents the two concepts "simultaneously co-exist." From this view, this study set up the research purposes as follows: 1) investigating the corporate managerial and technological behavioral characteristics in the co-opetition of the global display industry. 2) verifying the emerging factors during the co-opetition behavior hereafter. 3) suggesting the strategic direction focusing on the co-opetition behavioral characteristics. To this end, this study used co-word network analysis to understand the structure in context level of the co-opetition. In order to understand topics on each network, we clustered the keywords by community detection algorithm based on modularity and labeled the cluster name. The results show that there were increasing patterns of competition rather than cooperation. Especially, the litigations for mutual control against Korean firms much more severely occurred and increased as time passed by. Investigating these network structure in technological evolution perspective, there were already active cooperation and competition among firms in the early 2000s surrounding the issues of OLED-related technology developments. From the middle of the 2000s, firm behaviors have focused on the acceleration of the existing technologies and the development of futuristic display. In other words, there has been competition to take leadership of the innovation in the level of final products such as the TV and smartphone by applying the display panel products. This study will provide not only better understanding on the context of the display industry, but also the analytical framework for the direction of the predictable innovation through analyzing the managerial and technological factors. Also, the methods can support CTOs and practitioners in the technology planning who should consider those factors in the process of decision making related to the strategic technology management and product development.

• Korean Security Journal
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• no.59
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• pp.133-159
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• 2019

The free semester system, introduced on a trial basis in 2013, has been fully implemented in all middle schools since 2016. The free semester system for middle school students is divided into subject activities and free semester activities with the purpose of students' dream and career exploration. While the activities of various vocational groups linked to subjects during the free semester are discussed, studies on the industrial security career education in middle schools are hard to find. In addition, the career sites that provide diverse information on career path for teachers, students and parents with support from the Ministry of Education have not established any program regarding industrial security. This study aims to look at the status of career education by the analysis of keywords for industrial security in the career experience network currently operated by the Ministry of Education and in-depth interview with career education teachers, students and parents, and industrial security experts. Based on such analysis, this study attempts to figure out a comprehensive understanding of the free semester system and to explore strategies for promoting industrial security education. The results of this study found that the activation plan for industrial security education requires the industry security education through career network, development of industrial security education program, training and placement of professional industrial security lecturer, and establishment of support systems for experience in industrial security.

• Korean journal of communication and information
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• v.81
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• pp.9-39
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• 2017

Online communities have become playgrounds for enjoyment and political public spheres as well as have been vitalized by participation of diverse users, which shows that users of online communities experience participatory democracy and new subjects who project the politic of everyday life eventually. The purpose of the study is to examine that how phenomenon from above have been revealed in the academic discourses and seek the ways for development of the theory and methodology of community media research. To do this, I analyze that features and tendencies of academic discourses which have historically been accumulated through applying method of meta-analysis into topics, methods, and issues in the precedence studies. Data is centered on Journals of the Korean Society for Journalism and communication Studies, Korean Association for Broadcasting and Telecommunication studies, Korean Association for Communication and Information studies, and the Cybercommunication Academic Society. The reason why I choose these journals is that they have a long history of the publication compared to other journals, thus, I can collect various related articles. Total of 53 Samples are selected after input keywords '공동체' and 'Community'. This study makes a contribution by offering the preliminary data in order to seek the ways for revitalization of local communities and for the future theories and methodologies of community media through researching on precedence studies having piled from 2001 when the first article about community media was published to November 2016.

• Journal of Korea Technology Innovation Society
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• v.15 no.2
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• pp.299-322
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• 2012

Biotechnology is considered a new propeller to national economic growth. Although BT-based converging technology is one of keywords in nowadays, few studies analyze the characteristics of Korean BT convergence market. This study has conducted the analysis of BT-based converging technology market by using patent database in KIPO (Korean Intellectual Property Office) from 2000 to 2010. We, especially, have classified BT convergence into homogeneous and heterogeneous ones, and compare the nature of BT convergence market with that of non-convergence one. To achieve the object of this study, the following methods are used: concentration across IPC technological classes; concentration of patenting activity across firms; PFS (Patent Family Size) index. Furthermore, according to FOS technology-industry table, we have intended to find new converging industry of BT heterogeneous converging technologies. As very few studies have focused on Korean converging technology market so far, this analysis is considered to be meaningful. It is found that the market of BT converging technology is rather robust than that of BT non-converging one, which refers that BT convergence shows the tendency of concentration towards few technologies by few conglomerate firms in Korea. Meanwhile, we have derived a BINET keyword map to research the convergence of sub-technologies in detail and the related industries. We expect the implications of this study to be utilized in establishing the BT-based converging technology policy.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.557-567
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• 2019

This investigation was conducted to derive future recognition and future competency of career counselors using future workshops and to verify the effectiveness of improving future adaptability. For this purpose, the future workshop was conducted for 25 career counselors and the data written and the discussion contents of the future workshop were analyzed. For analysis, word frequency analysis and corresponding sample T-verification were conducted, and the main words were derived through consensus. The results, First, the keywords of future recognition showed high frequency of robot, artificial intelligence, leisure, education, convenience, and the disabled. Second, the future labor sites projected the most changes due to high technology. Third, at the career counseling site, professional career counselors and robot counselors related to the fourth industrial revolution are expected to appear. Fourth, future competencies of career counselors were derived from information processing ability, professional counseling ability, communication ability, and ethical consciousness. Finally, it was confirmed that the future adaptability of career counselors increases after participating in future workshops, and the future competencies derived from this study are expected to be used for job training of career counselors.

• Journal of the Korea Society of Computer and Information
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• v.15 no.1
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• pp.149-157
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• 2010

As the use of the Internet has recently increased, the demand for opinion information posted on the Internet has grown. However, such resources only exist on the website. People who want to search for information on the Internet find it inconvenient to visit each website. This paper focuses on the opinion information extraction and analysis system through Web mining that is based on statistics collected from Web contents. That is, users' opinion information which is scattered across several websites can be automatically analyzed and extracted. The system provides the opinion information search service that enables users to search for real-time positive and negative opinions and check their statistics. Also, users can do real-time search and monitoring about other opinion information by putting keywords in the system. Proposed technologies proved to have outstanding capabilities in comparison to existing ones through tests. The capabilities to extract positive and negative opinion information were assessed. Specifically, test movie review sentence testing data was tested and its results were analyzed.