• Journal of Family Resource Management and Policy Review
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• v.16 no.1
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• pp.199-227
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• 2012

Studies of leisure time generally have been concentrated on the amount of time spent by each family member in Korea. In this study, the shared leisure time among family members in various leisure activities was mainly investigated. Purposes of this study were to describe how family members spent the leisure time together and to investigate the determinants that affected whether or not family shared leisure time together. The data source was the '2009 Time Use Survey' conducted by the Korea National Statistical Office. The person involved in each activity was surveyed for the first time in the survey. The data from 17,470 diaries(10,359 weekdays and 3,549 Sunday) from 8,745 individuals aged from 20 to 59 who had a spouse were analyzed. The descriptive statistics and logistic regressions were used. On average, married couples spent leisure time together with spouses 36 minutes a day on weekdays and 1 hour and 38 minutes on Sunday, respectively. Parent did with preschool children 5 minutes a day on weekdays and 15 minutes on Sunday, respectively. The shared leisure time with other family and relatives was 22 minutes a day on weekdays and 1 hour and 13 minutes on Sunday, respectively. Although there was a wide variation on the shared family leisure time by the types of activities, the main shared leisure activity was using mass media, which accounts for about two third of all shared leisure time together with family. Independent variables, including the age, sex, education level, working hours, personal income, presence of preschool children, marital status, sex role attitude, and dual or single income earner were the significant determinants of family's or couple's parent-preschool children's shared leisure time on weekdays or Sunday. Based on the results of this study, family and leisure policy were suggested to increase active family shared leisure time.

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.257-278
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• 2021

As the definition of the vendor-oriented implementation method, which was utilized in adopting an ERP system, has been centered around the project construction business, it was difficult for the EPR adopting organization to systematically prepare ERP projects and have enough deliberative opportunities to change-related policies. Furthermore, this method does not have a fully standardized construction process. Accordingly, by defining an organization that wants to adopt an ERP system as a customer, this paper develops the customer-based ERP construction process framework that assists both customers and developers who construct the system. For this purpose, this paper reviews the previous research and collects the construction processes of the commercial ERP SW vendor and ERP construction cases while proposing the three-layer process framework to construct ERP through the KJ method. The ERP process framework consists of 7 processes, 32 activities, 141 tasks while providing definitions for concepts of each component. Furthermore, the proposed processes and phases were set in order of the recommended execution, while the activities were suggested as an open-ended type so that the application and usability can be increased and polished by reflecting experts' opinions. The contribution of this study is to standardize the ERP project process by transforming the previous supplier-based ERP construction method into the customer-based one while providing important procedure and activity frameworks that apply to diverse ERP solutions per vendor. At the same time, this study provides an theoretical foundation to develop the construction process for the customer -based Cloud ERP. In practice, At the beginning of the ERP system construction project, it provides communication or process tailoring tools for the stakeholder.

• Journal of Practical Engineering Education
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• v.9 no.2
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• pp.167-174
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• 2017

The purpose of this paper is to review the effects of the $4^{th}$ Industrial Revolution on job competency development by the Transitional Labor Market(TLM) model, and suggest job competency development policiy in the rea of the $4^{th}$ Industrial Revolution. The $4^{th}$ Industrial Revolution will create new jobs, destroy many current jobs, and will fundamentally change employment pattern, contents of jobs and ways of works. In these circumstances, we will confront more risks in each stage of labor market transition. To minimize the risks of TLM, we should reform education and develop life time career and job competency. We have to train high level talented persons to lead the $4^{th}$ Industrial Revolution. We have to retrain employed people to adjust new technology and to enhance employability and adaptability. We have to train vulnerable groups so that they may adjust new circumstance. Government should develop life time job competency development open platform.

• 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 Family Resource Management and Policy Review
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• v.21 no.1
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• pp.1-18
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• 2017

This study examined the predictors of life satisfaction of marriage migrant wives with school-aged children in South Korea. For this purpose, we draw data from the 2015 National Survey on Multi-cultural Families (NSMF). The target group was marriage migrant wives who were in a first marriage and had school-aged children (N=3,004). We used OLS regression to examine the predictors of the target group's life satisfaction with the SPSS 18.0 program. The results are as follows. First, marriage migrant wives with school-aged children had maintained their marriage for at least 14 years. They were satisfied with their relationships with both their spouses and their children. Also, they were satisfied with their spouse's child care roles. They did not support the multi-cultural policy of assimilation. Their Korean proficiency was slightly higher than the middle level. More than half had jobs and had not attended a parent meeting. Second, although they were satisfied with their everyday lives, their levels of life satisfaction were less than that of migrant wives with children below 5 years of age. Third, all variables explained 38.8% of the life satisfaction experienced by marriage migrant wives with school-aged children. Satisfaction with their spouses, subjective health, satisfaction of spouse's child care role, monthly family income, satisfaction with their children, experience attending a parents meeting, and Korean proficiency were positively associated with the life satisfaction of this target group. The findings of this study are significant because they can provide certain implications for family life education and policy within a multi-cultural society.

• Journal of Ginseng Research
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• v.38 no.1
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• pp.52-58
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• 2014

To determine whether Fourier transform (FT)-IR spectral analysis combined with multivariate analysis of whole-cell extracts from ginseng leaves can be applied as a high-throughput discrimination system of cultivation ages and cultivars, a total of total 480 leaf samples belonging to 12 categories corresponding to four different cultivars (Yunpung, Kumpung, Chunpung, and an open-pollinated variety) and three different cultivation ages (1 yr, 2 yr, and 3 yr) were subjected to FT-IR. The spectral data were analyzed by principal component analysis and partial least squares-discriminant analysis. A dendrogram based on hierarchical clustering analysis of the FT-IR spectral data on ginseng leaves showed that leaf samples were initially segregated into three groups in a cultivation age-dependent manner. Then, within the same cultivation age group, leaf samples were clustered into four subgroups in a cultivar-dependent manner. The overall prediction accuracy for discrimination of cultivars and cultivation ages was 94.8% in a cross-validation test. These results clearly show that the FT-IR spectra combined with multivariate analysis from ginseng leaves can be applied as an alternative tool for discriminating of ginseng cultivars and cultivation ages. Therefore, we suggest that this result could be used as a rapid and reliable F1 hybrid seed-screening tool for accelerating the conventional breeding of ginseng.

• Human Ecology Research
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• v.55 no.2
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• pp.167-180
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• 2017

This study makes suggestions on the contents of home economics to form adolescents' values of a healthy marriage and family. For this objective, family-related contents of high school home economics textbooks between Korea and the U.S. were comparatively analyzed using a qualitative interpretation method, based on the elements of a healthy family. Obtaining nine types of high school technology & home economics textbooks (2009 revised curriculum), two types of high school home economics science textbooks (2009 revised curriculum), and five types of the U.S. home economics textbooks for grade 10 to 12, contents elements, described contents, pictures, illustration, and activity tasks of the contents were examined. This study discussed the implications of family-related content in home economics high school textbooks of Korea as well as presented suggestions to be used as basic data for the development of subject content. The results of the study can be summarized as follows. In the results of analyzing the family-related contents in home economics textbooks of both countries, Korean home economics textbooks emphasized the contents meeting a democratic and gender-equal family relationship, maintenance & creation of healthy family life culture, rational resource management, and support for children's growth & development. However, U.S. home economics textbooks focused on elements such as economic stability of family, stable food, clothing, and shelter, open conversation, support of children's growth & development, rational resource management, sharing family roles, healthy citizenship, and harmony between work and family.

• Journal of Family Resource Management and Policy Review
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• v.24 no.4
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• pp.1-20
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• 2020

This study aims to improve the family friendly certification system by analyzing the actual experience of family friendly certified companies with the certification's incentives and their demand for new incentives. We analyzed 2018 survey data of family friendly certified company incentives and interviewed representatives from 9 family friendly certified companies. First, the use of incentives differs according to the level of corporate classification, number of employees, industry, certification continuation training, and incentive impact. Current family friendly certification incentives indicate that the utilization rate of incentives is high when small and medium sized enterprises (SMEs) with less than 300 employees have newly received family friendly certification. Second, the use of the certification mark significantly differs by industry, certification duration, and incentive impact. Interviews with the companies' family friendly certification managers revealed that the incentives that companies use mainly are the Public Procurement Service bid points and priority immigration service. Large corporations hope for strong incentives, such as the National Tax Service's deferred tax investigation, interest rate cuts for bank loans, and corporate tax cuts. Lastly, the family friendly certification mark is a representative incentive used by 60% of family friendly certified companies. For the qualitative growth and stabilization of the family friendly certification system, the family friendly certification mark should be improved to become a more attractive incentive.

• Journal of Korean Library and Information Science Society
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• v.35 no.4
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• pp.423-449
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• 2004

In the knowledge society the main resource is knowledge, and the role of library to manage knowledge and information is very important. Therefore it is necessary to knowledge and information management that provides on demand service to user. The purpose of this research is to design model for web-based help-desk knowledge management system. This study used Qualitative methods as interviews and surveys through BBS and e-mail on information service in the university libraries. Here the investigated component factors are followings Q/A service user's education service to use the library, user's online reference service, e-mail service, FAQ service electronic service(BBS), lecture and research service for faculty, my library, SDI service, and open data service. This study was financially supported by Chonnam National University in the program, Post-Doc. 2002.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.1
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• pp.11-26
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• 2011

The expectation and the role for the university are rising due to the national competitiveness and change of environment in higher education in the knowledge based society, and the role to realize the effective lifelong study is also underlined in lifelong study society. And the social awareness is also diffused that the university should share the specialized substantial information resource with the community, and ensure the access right to knowledge and information to local inhabitant. Like this, the roll as an information center that the university can develop the local society as the component of the community according to the diffusion of lifelong study and the change of civic awareness. To check the open state of university libraries to community, this study surveyed and analyzed the open state of 4-year-course university libraries in Seoul and Gyoenggi region. On this base, this study emphasized that the university should open its libraries and positively offer the abundant specialized data of university libraries to the local residents. And this study suggested the way that the university libraries can cooperate connecting with the local public libraries and the school libraries as a positive service way of university libraries. Also this study accentuated that the university libraries should establish an open-door policy of its libraries and enlarge the service for the local residents by using the university conditions to maximum with the positive support of the university libraries of government and the university's bureaucracy.