• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.4
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• pp.186-196
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• 2018

Junior colleges are higher education institutions that have played a major role in the economic development of Korea by providing the necessary human resources for its industrial development. Recently, however, they have experienced difficulties due to the reduction in the number of students. Therefore, it is time for junior colleges as a representative higher vocational education institution to change their role in this rapidly changing environment, and adopt a survival strategy through mutual cooperation and competition. The purpose of this study was to analyze the current state of the national health universities, to investigate the policy changes adopted by colleges and universities, and to utilize the results as data. This study analyzed the current status of health science colleges nationwide and investigated the policy changes as well as the directions presented to the colleges, in order to use the results as the basic data to promote the diversification of the class periods and degree programs. This study surveyed 636 professors from health sciences departments and industry workers from May 1 to May 30, 2017. 70.7% of the respondents supported the transition of the existing three-year systems of the health science departments to four-year systems. The reason for this is that it is possible to strengthen the field practice and personality education of the students by having a sufficient number of class periods, and to provide them with an equal educational background. The most anticipated effect of the transition to a four-year system is to improve the social status of medical personnel and to improve the educational environment of the colleges/universities. Moreover, the universities, associations of medical personnel and Ministry of Education are expected to play a leading role in the transition to the four-year system. Based on the results of this study, it was concluded that a more systematic and advanced vocational education system for the training of professional healthcare workers is needed in the upcoming fourth Industrial Revolution era. Also, this transition is expected to actively foster the education of advanced health care workers thanks to the diversification of the degree programs through the adjustment of the class periods which can be completed by general university (4-year) graduates.

• Proceedings of The Korean Society of Health Promotion Conference
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• 2004.10a
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• pp.89-109
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• 2004

The Korean Government has produced the Health Plan 2010 aimed at setting up healthy Korea objectives, policies on preventing chronic diseases, reshaping the country's health and medical infrastructure. The policy goal targets the people's healthy life expectancy at 75 by 2010, and includes healthy life practice measures including health education, health improvement services, and disease management measures, in achieving the objectives. Also, the plan provides life cycle-based health improvement and disease prevention services, as well as pushes ahead with projects with greater ripple effects in each area. To this end, the government is simultaneously pushing to operate an experts-centered health promotion committee and establishing the infrastructure including the augmentation of national health improvement funds. Through its Health Plan 20 I 0, the Korean Government will exert efforts to achieve its policy objectives as addressed in the measures by enhancing the national potential health and providing systematic disease prevention services.

• Proceedings of The Korean Society of Health Promotion Conference
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• 2004.10a
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• pp.111-129
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• 2004

This paper develops the argument that the 'Healthy Cities Approach' extends beyond the boundaries of officially designated Healthy Cities and suggests that signs of it are evident much more widely in efforts to promote health in the United Kingdom and in national policy. It draws on examples from Leeds, a major city in the north of England. In particular, it suggests that efforts to improve population health need to focus on the wider determinants and that this requires a collaborative response involving a range of different sectors and the participation of the community. Inequality is recognised as a major issue and the need to identify areas of deprivation and direct resources towards these is emphasised. Childhood poverty is referred to and the importance of breaking cycles of deprivation. The role of the school is seen as important in contributing to health generally and the compatibility between Healthy Cities and Health Promoting Schools is noted. Not only can Health Promoting Schools improve the health of young people themselves they can also develop the skills, awareness and motivation to improve the health of the community. Using child pedestrian injury as an example, the paper argues that problems and their cause should not be conceived narrowly. The Healthy Cities movement has taught us that the response, if it is to be effective, should focus on the wider determinants and be adapted to local circumstances. Instead of simply attempting to change behaviour through traditional health education we need to ensure that the environment is healthy in itself and supports healthy behaviour. To achieve this we need to develop awareness, skills and motivation among policy makers, professionals and the community. The 'New Health' education is proposed as a term to distinguish the type of health education which addresses these issues from more traditional forms.

• Journal of the Korea Society of Computer and Information
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• v.26 no.3
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• pp.155-165
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• 2021

The measures to extend local education autonomy are as follows: First, it is necessary to correct the confusion of the legal system of the local education autonomy system. For this, Article 12, Paragraph 2 and 4 of the 「Special Act on Local Autonomy and Decentralization, and Restructuring of Local Administrative Systems」 which state that "The State shall endeavor to consolidate systems for autonomy in education and local government" and "The implementation of autonomy in education and the autonomous police system shall be prescribed separately by Acts" should be deleted. Second, it is necessary to clarify unnecessary legal matters and regulatory measures for unification at the national level and to proactively consider the introduction of the legal trust system, in which education affairs are designated as local governments' own work and the state carries out specific affairs. The decentralization of local education finance is a key factor for the development of local education autonomy, and it requires the transfer of authority and resources to the region, and the enhancement of local autonomy and corresponding responsibility. First, the ratio of special grants must be adjusted further (from 3% to 2%) or the ratio of national policy projects must be lowered. Second, the provision that requires a consultation with a mayor/governor when making a budget covered by transfers from general accounts should be deleted. Third, it is necessary to remove the elements that limit the authority of city and provincial councils. Fourth, it is necessary to integrate the national education tax and the local education tax to create the education autonomy tax (tentative name) for only one independent purpose. Fifth, it is necessary to strengthen the distribution of the total amount of grants and abolish the settlement regulations for the measurement items of standard financial demand. Sixth is the expansion of the participation of stakeholders and experts in the grant distribution process. Seventh, it is necessary to establish a long-term employment system by designating the education finance field as a special field. Eight is the expansion of cooperative governance.

• Journal of the Korean Society of Food Science and Nutrition
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• v.41 no.3
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• pp.408-417
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• 2012

This study examined the satisfaction of a school milk program as well as the preference of school milk and flavored milk. The subjects of this study were $4^{th}$ , $5^{th}$ and $6^{th}$ grade students in 4 different elementary schools, who were attending the school milk program in Ulsan. The survey was conducted from April 10, 2009 to April 30, 2009. Of the 403 questionnaires distributed, 347 responded and analyzed (usage rate: 86%). The results were as follows. Of the 347 respondents, 53.9% were boys and 46.1% were girls. 34%, 31.1% and 34.9% of the students were $4^{th}$, $5^{th}$ and $6^{th}$ graders, respectively. Second, 80.1% of the students reported 'have milk everyday', and 89.9% of the students reported 'have milk as it is'. Third, the overall satisfaction with the school milk program was 3.32 based on a 5-point likert scale, the 'guidance of nutrition teachers and class teacher' was 3.21 and 'taste of school milk' was 3.37. There were significant positive correlations between the school milk satisfaction variables and overall satisfaction (p<0.01). Fourth, the preference for school milk was 3.33. The preference for flavored-milk were 3.63 (coffee milk), 4.44 (chocolate milk), 4.16 (strawberry milk), 4.26 (banana milk) and 3.53 (black bean milk). Fifth, to improve the school milk program, 85.9% of students wanted a provision for flavored milk. In conclusion, schools need to find a way to increase the satisfaction of the school milk program and the preference of school milk to increase the milk intake of students. Nutrition education for students and parents should be conducted systematically and choices for various kinds of milk and milk products should be given to the students.

• 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.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.67-88
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• 2018

Until recently, as we recognize the significance of sustainable growth and competitiveness of small-and-medium sized enterprises (SMEs), governmental support for tangible resources such as R&D, manpower, funds, etc. has been mainly provided. However, it is also true that the inefficiency of support systems such as underestimated or redundant support has been raised because there exist conflicting policies in terms of appropriateness, effectiveness and efficiency of business support. From the perspective of the government or a company, we believe that due to limited resources of SMEs technology development and capacity enhancement through collaboration with external sources is the basis for creating competitive advantage for companies, and also emphasize value creation activities for it. This is why value chain network analysis is necessary in order to analyze inter-company deal relationships from a series of value chains and visualize results through establishing knowledge ecosystems at the corporate level. There exist Technology Opportunity Discovery (TOD) system that provides information on relevant products or technology status of companies with patents through retrievals over patent, product, or company name, CRETOP and KISLINE which both allow to view company (financial) information and credit information, but there exists no online system that provides a list of similar (competitive) companies based on the analysis of value chain network or information on potential clients or demanders that can have business deals in future. Therefore, we focus on the "Value Chain Network System (VCNS)", a support partner for planning the corporate business strategy developed and managed by KISTI, and investigate the types of embedded network-based analysis modules, databases (D/Bs) to support them, and how to utilize the system efficiently. Further we explore the function of network visualization in intelligent value chain analysis system which becomes the core information to understand industrial structure ystem and to develop a company's new product development. In order for a company to have the competitive superiority over other companies, it is necessary to identify who are the competitors with patents or products currently being produced, and searching for similar companies or competitors by each type of industry is the key to securing competitiveness in the commercialization of the target company. In addition, transaction information, which becomes business activity between companies, plays an important role in providing information regarding potential customers when both parties enter similar fields together. Identifying a competitor at the enterprise or industry level by using a network map based on such inter-company sales information can be implemented as a core module of value chain analysis. The Value Chain Network System (VCNS) combines the concepts of value chain and industrial structure analysis with corporate information simply collected to date, so that it can grasp not only the market competition situation of individual companies but also the value chain relationship of a specific industry. Especially, it can be useful as an information analysis tool at the corporate level such as identification of industry structure, identification of competitor trends, analysis of competitors, locating suppliers (sellers) and demanders (buyers), industry trends by item, finding promising items, finding new entrants, finding core companies and items by value chain, and recognizing the patents with corresponding companies, etc. In addition, based on the objectivity and reliability of the analysis results from transaction deals information and financial data, it is expected that value chain network system will be utilized for various purposes such as information support for business evaluation, R&D decision support and mid-term or short-term demand forecasting, in particular to more than 15,000 member companies in Korea, employees in R&D service sectors government-funded research institutes and public organizations. In order to strengthen business competitiveness of companies, technology, patent and market information have been provided so far mainly by government agencies and private research-and-development service companies. This service has been presented in frames of patent analysis (mainly for rating, quantitative analysis) or market analysis (for market prediction and demand forecasting based on market reports). However, there was a limitation to solving the lack of information, which is one of the difficulties that firms in Korea often face in the stage of commercialization. In particular, it is much more difficult to obtain information about competitors and potential candidates. In this study, the real-time value chain analysis and visualization service module based on the proposed network map and the data in hands is compared with the expected market share, estimated sales volume, contact information (which implies potential suppliers for raw material / parts, and potential demanders for complete products / modules). In future research, we intend to carry out the in-depth research for further investigating the indices of competitive factors through participation of research subjects and newly developing competitive indices for competitors or substitute items, and to additively promoting with data mining techniques and algorithms for improving the performance of VCNS.