• Korean small business review
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• v.42 no.4
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• pp.285-308
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• 2020

This paper analyzes the factors which affect University professors and students on their startup activities, such as (a) University factors: their industrial cooperation organization and systems, their resources for startup support, their knowledge assets, and (b) socioeconomic characteristics in which Universities are located. We used the data and information from the University Information System and the National Statistical Office Publication to analyze 157 4-year Universities in Korea who uploaded their startup-related information on the system. Our analysis shows that Universities' systems, such as the term for Professors' leave of absence for startup activities, and their amount of knowledge assets affect the number of Professor startups significantly positively, while there is no significant effect on their performance, in terms of sales, from those factors, except for the amount of patents that the University has. In the meantime, the number of practical startup courses, the number of startup clubs, and the number of professor startups in the University affect the number of student startups, while the size of industrial cooperation body, the amount of knowledge asset, the area's socioeconomic characteristics didn't affect their performance. The result implies that we need to take different approaches to boost University professor startups and their student startups: better system and more knowledge for the former, more practical courses and programs for the latter. Further study is needed to get a more robust result because this analysis used only one year data, and personal trait data was not included in the analysis. A panel data analysis for several years is recommended for further research.

• Journal of Korean Library and Information Science Society
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• v.54 no.4
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• pp.123-150
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• 2023

The National Library for the Disabled was upgraded to a primary affiliated organization of the Ministry of Culture, Sports and Tourism on June 4, 2020, in accordance with Article 24 (1) of the Library Act (Law No. 16685). The National Library for the Disabled is currently preparing to build an independent library building. Now that the National Library for the Disabled has secured its independent legal status, it must become a specialized national library by comprehensively collecting not only alternative materials for the disabled, but also domestic and foreign materials useful to researchers related to the disabled. Accordingly, the purpose of this study is to conduct basic research for comprehensive and strategic collection of library materials for people with disabilities, which is an essential part of the statutory work of the National Library for the Disabled. To this end, the concept and category of library materials for the disabled that are expected to be useful for satisfying the intellectual needs of the disabled and for education and research related to the disabled were established targeting knowledge information resources produced and distributed domestically and internationally. Next, based on the current collection development policy of the National Library for the Disabled, an implementation strategy and mid to long term roadmap for comprehensively collecting library materials were presented.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.8
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• pp.3672-3681
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• 2013

The purpose of this study was to analyze subculture of professional football supporters with a view of Bourdieu's Habitus theory. What sorts of mechanism were worked when supporters formed their Habitus. The methods adopted in the article was qualitative. The qualitative information on the nature of their fandom was gleaned from 'virtual participant observation' or 'interviewing' of professional football fans that participated in discussions on the internet and participant observation of professional fans. The intensity and criteria sampling method was used to select 6 supporters who had participated in the supporting activities for more than five years and played crucial roles in running their organization as officials. The textual analysis which is consisting of translation, coding, and processing was used to mean the identification and exegesis of contextualization cues that make a text meaningful to the professional football supporters. an intended audience. The findings of this study were that (1) the subculture variety of activities for players and coaching staffs were the fundamental factors when supporters formed their subculture. (2) the professional supporters became habitus through the progressively development of subcultures such as enthusiastic supporters, small meetings, and events relating to soccer players.

• Korean Journal of Health Education and Promotion
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• v.9 no.2
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• pp.72-88
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• 1992

The purpose of the present study was to identify the charateristics and social activities of graduates from a School of Public Health in Seoul and to provide basic information which might contribute to the improvement of new established Schools of Public Health in Korea. The Subjects were composed of 199 persons who graduated from a School of Public Health in Seoul during the period of 1987 through 1989. The response rate was 59.8% (199 graduates). The survey was conducted from December 1st 1991 to the end of February 1992 with a self-administered questionnaire by mail. Descriptive analysis with Chi-square test was employed for analysis. The major results were as follows : 1. 462% of students were the group aged 24-28 and 76.5% of them were married at the time of entrance to the School. 2. The major motives to come to the School were continuous study in a graduate school(41.2%), and strengthening of job opportunities(35.3%). 3. The major expectation of students were to acquire new professional knowledge(31.9%), to improve present work performance(22.7%) and to become an educator(22.7%). 4. 84.9% of students had some kinds of expectation at the entrance to the School, but only 48.8% of them met their expectations they had had. 5. The most preferred subjects were Health Statistics and Epidemiology in order. 6. 59.7% of students insisted that a professor should advise 4-5 students in maximum for a thesis. 7. Students suggested that the candidate for scholarship should he selected from those who had earned high credits in the previous semester(33.6%), who were low economic status(31.l%) or who were recommended by academic adviser(24.4%). 8. 57.1% of students were positive in utilizing their major subjects studied in their current works. 9. Students expressed that if the School of Public Health is to be further developed full-time professors should be added (37.9%) and excellent students be secured (33.6%). 10. After graduation from the school, some of the respondents changed their job placement, the number of persons working in research institutes increased from 6 to 14 persons, those working in educational institutes from 16 to 35, and Ministry of Health and Social Affairs and its affiliated organization from 10 to 13.

• Journal of the Korean Applied Science and Technology
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• v.25 no.4
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• pp.539-555
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• 2008

It is well understood that developing new drugs is one of the highest value-added businesses in a country; however, the current governments' spending in pharmaceutical research and development(R&D) is minimal in Korea. This paper suggests that different governmental bodies should take in charge of different stages of the R&D process in order to maximize the use of limited government research funding. First, during the initial phase of the drug development, including clinical trials, the Ministry of Education, Science and Technology is the most appropriate governmental organization to support the research. For later procedures such as supporting the industries for exporting developed drugs, legislative approvals, and building infrastructure for future clinical trials should be supported by the Ministry of Knowledge and Economy and the Ministry of Health and Welfare along with the Korea Food and Drug Administration(KFDA). The KFDA, which is the main governmental agency approving newly developed drugs in the market, will need to take a crucial responsibility in the initial phase of the pharmaceutical R&D by guiding the industries with timely and proper information. As a first step, it is recommended to set up and operate a center for supporting new drugs, so that the industries can facilitate the development of marketable drugs which meet customers' needs. Later, in order to expedite the process of exporting and getting approvals of the newly developed drugs from foreign countries, it is necessary to develop new approval system, which includes introduction of the Good Manufacturing Practice (GMP), mandatory validation system, and education program for supporting expertise. Lastly, the KFDA needs to take an active role in developing Korean pharmaceutical industries by communicating with other foreign governments with regards to the globalization of the Korean pharmaceutical industries. For example, as a follow up after the Free Trade Agreement(FTA), active discussion on GLP of Mutual Recognition Agreement(MRA) with the United States of America, should be seriously considered.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.37 no.3
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• pp.119-126
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• 2019

For this purpose, research was made to look into the style, material, organization, and legal as well as institutional system of the bonsai industry in the three countries. In order to understand what significance it has and how it has changed historically, related literature was surveyed and questionnaires were distributed to the concerned people to collect the data needed for them to plan bonsai industry. The results of the survey are as follows. Analysis of awareness of bonsai culture, respondents replied that the motive and purpose of bonsai is because they like flower trees, and the technical information about bonsai is usually obtained by visits to bonsai gardens. The analysis revealed that respondents usually join more than one bonsai club and are active more than once a month, which means longer than 4 hours each month, and their activities are more frequently in the metropolitan area. From the analysis of preference for bonsai culture, it was made known that the favorite bonsai size is less than middle one(20~50cm), the characteristics of the favorite species are beauty. A research and analysis of bonsai-related technical education found that bonsai is trimmed manually in general, bonsai experts are usually kept in contact with, and the bonsai technique is learned through interaction with the experts.

• Proceedings of KOSOMES biannual meeting
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• 2007.05a
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• pp.1-7
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• 2007

OPRC-HNS Protocol places the responsibility for having on-board a pollution incident emergency plan, notifying other States the incident facts in case of being affected by that incident, development of national contingency plan, international co-operation in pollution response, research and development, technical co-operation, promotion of bilateral and multilateral co-operation in preparedness and response, providing of information service, promotion of education and training, providing of technical services and technical assistance, etc. on parties to pursue their goals. After joining OPRC-HNS protocol, the government is required to inspect current status of matters related to HNS for its relevance on any laws. Additional items including establishment of component organization playing a role of managing response institution, manpower and resources, purchase response resource, development of response technique, and those also to enforce education and training to promote the party's duty. The facts described above drive up to analyze the benefits and burdens of relevant industry which appears in those procedure.

• Journal of The Korean Association For Science Education
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• v.29 no.4
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• pp.423-436
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• 2009

This study aims to develop an analytic framework that can be used to classify scientific models in science textbooks according to modes and attributes of representation and to investigate types of scientific models presented in the biology section of science textbooks for the $7^{th}$ to $10^{th}$ grades. The results showed that modes of representation of scientific models are related to the nature of sub-areas of biology sections. Generally, the iconic model and symbolic model were in dominant use, including drawings of organs and explanations of working of systems. However, the chapters on 'The Organization of Life' and 'The Continuity of Life' showed a relatively high frequency in use of the actual model. The theoretical model was presented in a part of 'The Continuity of Life', due to its highly abstract characteristics. Moreover, the gestural model and analogical model showed very low frequency. From the perspective of attributes of representation, frequency of the static model was very high, while one of the dynamic models was very low. Therefore, efforts to recognize the properties of scientific concepts more clearly and to develop diverse types of models that can represent the concepts adequately are required. Analysis of these types of scientific models can offer recognition of the usefulness and limitations of models in representing the concepts or phenomena, and can help us to design adequate models depicting particular properties of given concepts. Also, this type of analysis may motivate researchers to strive to reveal correct methods for and limits of using the scientific models that are presented in existing science textbooks, as well as to provide useful information to organize the science textbooks according to the revised $7^{th}$ national science curriculum.

• Journal of Intelligence and Information Systems
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• v.26 no.4
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• pp.27-65
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• 2020

Many companies on information and communication technology make public their own developed AI technology, for example, Google's TensorFlow, Facebook's PyTorch, Microsoft's CNTK. By releasing deep learning open source software to the public, the relationship with the developer community and the artificial intelligence (AI) ecosystem can be strengthened, and users can perform experiment, implementation and improvement of it. Accordingly, the field of machine learning is growing rapidly, and developers are using and reproducing various learning algorithms in each field. Although various analysis of open source software has been made, there is a lack of studies to help develop or use deep learning open source software in the industry. This study thus attempts to derive a strategy for adopting the framework through case studies of a deep learning open source framework. Based on the technology-organization-environment (TOE) framework and literature review related to the adoption of open source software, we employed the case study framework that includes technological factors as perceived relative advantage, perceived compatibility, perceived complexity, and perceived trialability, organizational factors as management support and knowledge & expertise, and environmental factors as availability of technology skills and services, and platform long term viability. We conducted a case study analysis of three companies' adoption cases (two cases of success and one case of failure) and revealed that seven out of eight TOE factors and several factors regarding company, team and resource are significant for the adoption of deep learning open source framework. By organizing the case study analysis results, we provided five important success factors for adopting deep learning framework: the knowledge and expertise of developers in the team, hardware (GPU) environment, data enterprise cooperation system, deep learning framework platform, deep learning framework work tool service. In order for an organization to successfully adopt a deep learning open source framework, at the stage of using the framework, first, the hardware (GPU) environment for AI R&D group must support the knowledge and expertise of the developers in the team. Second, it is necessary to support the use of deep learning frameworks by research developers through collecting and managing data inside and outside the company with a data enterprise cooperation system. Third, deep learning research expertise must be supplemented through cooperation with researchers from academic institutions such as universities and research institutes. Satisfying three procedures in the stage of using the deep learning framework, companies will increase the number of deep learning research developers, the ability to use the deep learning framework, and the support of GPU resource. In the proliferation stage of the deep learning framework, fourth, a company makes the deep learning framework platform that improves the research efficiency and effectiveness of the developers, for example, the optimization of the hardware (GPU) environment automatically. Fifth, the deep learning framework tool service team complements the developers' expertise through sharing the information of the external deep learning open source framework community to the in-house community and activating developer retraining and seminars. To implement the identified five success factors, a step-by-step enterprise procedure for adoption of the deep learning framework was proposed: defining the project problem, confirming whether the deep learning methodology is the right method, confirming whether the deep learning framework is the right tool, using the deep learning framework by the enterprise, spreading the framework of the enterprise. The first three steps (i.e. defining the project problem, confirming whether the deep learning methodology is the right method, and confirming whether the deep learning framework is the right tool) are pre-considerations to adopt a deep learning open source framework. After the three pre-considerations steps are clear, next two steps (i.e. using the deep learning framework by the enterprise and spreading the framework of the enterprise) can be processed. In the fourth step, the knowledge and expertise of developers in the team are important in addition to hardware (GPU) environment and data enterprise cooperation system. In final step, five important factors are realized for a successful adoption of the deep learning open source framework. This study provides strategic implications for companies adopting or using deep learning framework according to the needs of each industry and business.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.4
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• pp.207-222
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• 2023

In order to improve employment rates, most universities operate programs to strengthen students' employment and entrepreneurship, regardless of whether they are selected as the Leading Industry-Innovative University (LINC) or not. In particular, in the case of non-metropolitan universities are risking their lives to improve employment rates. In order to overcome the limitations of university establishment type and university location, which absolutely affect the employment rate, we are operating a startup education & startup support program in order to strengthen employment and entrepreneurship, and capstone design & field training as industry-academia-linked education programs are always available. Although there are studies on effectiveness verification centered on LINC (Leaders in Industry-University Cooperation) in previous studies, but a longitudinal study was conducted on all factors of university factors, startup education & startup support, and capstone design & field training as industry-university-linked education programs as factors affecting the employment rate based on public disclosure indicators. No cases of longitudinal studies were reported. This study targets 116 universities that satisfy the conditions based on university disclosure indicators from 2018 to 2020 that were recently released on university factors, startup education & startup support, and capstone design & field training as industry-academia-linked education programs as factors affecting the employment rate. We analyzed the differences between the LINC (Leaders in Industry-University Cooperation) 51 participating universities and 64 non-participating universities. In addition, considering that there is no historical information on the overlapping participation of participating students due to the limitations of public indicators, the Exposure Effect theory states that long-term exposure to employment and entrepreneurship competency enhancement programs will affect the employment rate through competency enhancement. Based on this, the effectiveness of the 2nd LINC+ (socially customized Leaders in Industry-University Cooperation) was verified from 2017 to 2021 through a longitudinal causal relationship analysis. As a result of the study, it was found that the startup education & startup support and capstone design & field training as industry-academia-linked education programs of the 2nd LINC+ (socially customized Leaders in Industry-University Cooperation) did not affect the employment rate. As a result of the longitudinal causal relationship analysis, it was reconfirmed that universities in metropolitan areas still have higher employment rates than universities in non-metropolitan areas due to existing university factors, and that private universities have higher employment rates than national universities. Among employment and entrepreneurship competency strengthening programs, the number of people who complete entrepreneurship courses, the number of people who complete capstone design, the amount of capstone design payment, and the number of dedicated faculty members partially affect the employment rate by year, while field training has no effect at all by year. It was confirmed that long-term exposure to the entrepreneurship capacity building program did not affect the employment rate. Therefore, it was reconfirmed that in order to improve the employment rate of universities, the limitations of non-metropolitan areas and national and public universities must be overcome. To overcome this, as a program to strengthen employment and entrepreneurship capabilities, it is important to strengthen entrepreneurship through participation in entrepreneurship lectures and actively introduce and be confident in the capstone design program that strengthens the concept of PBL (Problem Based Learning), and the field training program improves the employment rate. In order for actually field training affect of the employment rate, it is necessary to proceed with a substantial program through reorganization of the overall academic system and organization.