• Korean Journal of Social Welfare Studies
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• v.43 no.2
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• pp.31-60
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• 2012

This case study tried to explore the food insecurity experiences of poor households with children, since 'food insecurity experiences' of poor households represents economic inequality and social deprivation in the midst of a affluent society. Interviewees in this reports reported that they have found difficulties with buying right or enough food materials due to short of income. As well, they have usually experienced the selection and use of only low-grade foods, substitution for more cheap food materials, limitation of available food materials(especially, meats and fruits), and monotonous diets in their everyday lives. Sometimes, their children skipped their meals due to their monotonous diets. To sum up, I could identify that they(poor households with children) had experienced many components of 'food insecurity' constructs in their daily lives. In spite of, there are some distinction between reports through food insecurity scale and records of interviews and the various foods-supply programs have supplemented their food insecure situation. Therefore, we should give consideration to these in the use and interpretation of the results of food insecurity scales.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.11
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• pp.6484-6491
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• 2014

The human's basic desire for aesthetics, which has existed along with human history, has been more individualized and diversified according to the progress of modern economic social change. In the case of men, who have a relatively higher connection and experience of mass media compared to women, there is a characteristic to apply and utilize information acquisition and share appearance management quickly on the media. This paper classified and arranged the image and characteristics of the modern male image analyzed the relationship between men's appearance management and information exploration. In addition, exploration relation per information medium was considered by dividing the men's appearance management behavior and characteristics into make-up, hair management, skin care, hands and feet care, and plastic surgery. This appears to be useful for the industrial group, e.g. beauty treatment, cosmetics, hospital, etc. as advertisement marketing information.

• Journal of Gifted/Talented Education
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• v.21 no.1
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• pp.107-122
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• 2011

The purpose of this study is to explore the perception of the observation and nomination system for the identification of the gifted and to find out the importance and practice level perceived by the gifted education teachers using the concept mapping approach. For this, twelve gifted education teachers brainstormed and gathered ideas for the ideal ways of observation and nomination system and the gathered statements were solicited. Multidimensional scaling and hierarchical cluster analysis were also used. In addition, 112 gifted education teachers rated the importance of and the practice level for the suggested ideas of observation and nomination system. Results were as follows: First, 36 statements were solicited and as a result of concept mapping the suggested observation and nomination system were categorized as 'attainment of professionality', 'attainment of administrative support', 'attainment of fairness', and 'considering points for recommendation.' Second, there were significant differences between the perceived importance levels and the practice levels. Based on the results, imlications of the study were discussed in depth.

• The KIPS Transactions:PartD
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• v.12D no.6 s.102
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• pp.817-828
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• 2005

The main research problems in a mining frequent itemsets are reducing memory usage and processing time of the mining process, and most of the previous algorithms for finding frequent itemsets are based on an Apriori-property, and they are multi-scan algorithms. Moreover, their processing time are greatly increased as the length of a maximal frequent itemset. To overcome this drawback, another approaches had been actively proposed in previous researches to reduce the processing time. However, they are not efficient on a sparse .data set This paper proposed an efficient mining algorithm for finding frequent itemsets. A novel tree structure, called an $L_2$-tree, was proposed int, and an efficient mining algorithm of frequent itemsets using $L_2$-tree, called an $L_2$-traverse algorithm was also proposed. An $L_2$-tree is constructed from $L_2$, i.e., a set of frequent itemsets of size 2, and an $L_2$-traverse algorithm can find its mining result in a short time by traversing the $L_2$-tree once. To reduce the processing more, this paper also proposed an optimized algorithm $C_3$-traverse, which removes previously an itemset in $L_2$ not to be a frequent itemsets of size 3. Through various experiments, it was verified that the proposed algorithms were efficient in a sparse data set.

• Korean Journal of Social Welfare
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• v.63 no.3
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• pp.55-82
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• 2011

This study aims to explore the issues of residential care services for children and youth with disabilities using mixed methods research. In Korea, welfare policies for people with disabilities tend to focus on adults with disabilities. As a result, children and youth with disabilities often receive less attention in welfare policies, which is especially true of children and youth with disabilities at residential facilities, who have confronted more serious situations than children and youth with disabilities living together with their families. Thus, the goal of this study explores the issues of residential care services for children and youth with disabilities, and suggests alternatives grounded in the research results. This study used a mixed methodology; in particular the embedded design that is designed by Creswell and Clark(2007). In qualitative research, representative professionals who work at residential facilities were selected using the recommendations of professional groups, and were interviewed using focus group interview methods. In quantitative research, this study investigated the thoughts of professionals on the issues of residential care services for children and youth with disabilities, using questions that were developed through qualitative research results. This study is significant in that it explored the issues of residential care services for children and youth with disabilities, focusing on field experiences, for the first time in Korea, and suggested political alternatives for the future.

• Journal of Korean Home Economics Education Association
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• v.32 no.3
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• pp.179-197
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• 2020

This study analyzed the trends in home economics education research using the language network analysis method, focusing on papers published in the KCI list for 20 years from 2000 to 2019. A total of 501 home economics education papers analyzed through word cloud, centrality analysis, and topic modeling using NetMiner 4.4, and the results are as follows. First, the number of papers in home economics education published in the KCI listing increased gradually to 186 in the 2000s and 315 in the 2010s. The academic journals in which home economics education papers were published have been diversified to 16 in the 2000s and 22 in the 2010s. 60% of all papers were published in the 'Journal of Korean Home Economics Education Association', and since 2018, the number of papers published in the 'Journal of Learner-Centered Curriculum and Instruction' has increased dramatically. Second, in the 2000s and 2010s, home economics education studies published in KCI were categorized into home economics education content analysis, home economics educational program development & application, curriculum analysis, perception survey & direction exploration. In the 2000s, 'Home Economics Teacher' appeared as the main keyword, and a lot of perception survey & direction exploration were conducted. Relatively, the influence of 'development' increased in the 2010s, and many studies were conducted to analyze home economics education contents and develop and apply home economics programs. This study has significance in that it analyzed the research trend of HEE by expanding the analysis target and analysis period of the existing studies.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.353-376
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• 2023

The global pandemic and the development of virtual and augmented reality technologies have led a metaverse boom that enables a lot of interactions in virtual worlds, and is being utilized in various fields such as business, government, and education etc. Despite the growing interest in the metaverse, its scope and definition are still unclear and the concept is still evolving, making it challenging to establish its governance. Governmental entities are also investing intensively in public metaverses to make public value and promote social welfare, but they are underutilized due to lack of systematic governance. Therefore, in this study, we propose a public metaverse governance framework and identify the relative importance of the factors. Furthermore, since a public metaverse should be accessible to anyone who wants to use, we explore the factors of shadow work and examine the ways to minimize it. Based on the socio-technical system theory, we derived public metaverse governance factors from previous literature and topic modeling and then generate a framework with 23 factors through expert interviews. We then tested relative priority of the factors using the analytic hierarchical process (AHP) from the experts. As a result, the top five overall rankings are: 'roles and responsibilities', 'standardization/modularization', 'collaboration and communication', 'law and policies', and 'availability/accessibility'. The academic implications of this study are that it provides a comprehensive framework for public metaverse governance, and then the practical implications include suggesting prioritized considerations for metaverse operations in the public sector.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.7
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• pp.263-270
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• 2021

Reinforcement learning(RL) is the method to find an optimal policy through training. and it is one of popular methods for solving lifesaving and disaster response problems effectively. However, the conventional reinforcement learning method for disaster response utilizes either simple environment such as. grid and graph or a self-developed environment that are hard to verify the practical effectiveness. In this paper, we propose the design of a disaster response RL environment which utilizes the detailed property information of the disaster simulation in order to utilize the reinforcement learning method in the real world. For the RL environment, we design and build the reinforcement learning communication as well as the interface between the RL agent and the disaster simulation. Also, we apply the dimension reduction method for converting non-image feature vectors into image format which is effectively utilized with convolution layer to utilize the high-dimensional and detailed property of the disaster simulation. To verify the effectiveness of our proposed method, we conducted empirical evaluations and it shows that our proposed method outperformed conventional methods in the building fire damage.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.4
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• pp.199-209
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• 2019

The importance of business strategy for successful social media engagement has quickly increased as more businesses engage in social media. The importance is even greater for startup companies because startup companies are genuinely new to business, and they need to increase their presence in the market, and quickly access future customers. The objective of this paper lies in exploring key indicators of social media engagements by selected startup companies. The key indicators include two aspects of social media usages by the companies: i) overall social media activities, and ii) properties of network structure of the information flow platform provided by social media service. To better assess and evaluate the key indicators of social media usages by startup companies, the indicators will be compared with those of selected large established companies. Twitter is selected as a social media service for the analysis of this paper, and using Twitter REST API, data regarding the key indicators of overall Twitter activities and the Twitter follower-network of each company in the sample are collected. Then, the data are analyzed using social network analysis and hierarchical clustering analysis to examine the characteristics of the follower-network structures and to compare the characteristics between startup companies and established companies. The results show that most indicators are significantly different across startup companies and established companies. One key interesting finding is that the startup companies have proportionally more influencers in their follower-networks than the established companies have. Another interesting finding is that the follower-networks of startup companies in the sample have higher modularity and higher transitivity, suggesting that the startup companies tend to have a proportionally larger number of communities of users in their follower-networks, and the users in the networks are more tightly connected and cohesive internally. The key business implication for the future social media engagement efforts by startup companies in general is that startup companies may need to focus on getting more attention from influencers and promoting more cohesive communities in their follower-networks to appreciate the potential benefits of social media in the early stage of business of startup companies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.418-430
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• 2017

This study examined the process, difficulties and understanding of making teaching materials by investigating the pre-service early childhood teachers' experience of making such materials. The results of the study would help in the design direction and methods of education for pre-service teachers in how to make materials. A total of 30 university students, who took the course of 'Early Childhood Educational Materials and Research Method' in B university, participated in the study. At the exploration stage, the pre-service teachers utilized the teacher guidance of Nuri curriculum, major books, internet materials, and their observation experiences in kindergartens. At the planning stage, they considered chiefly the children's interest and level, explored materials sufficiently, and selected the production method carefully. At the production stage, they performed basic hard work to prevent rework and tended to stick to the basics beyond their initial ambition as the work progressed. The difficulties that they faced, feeling pressured, were making materials based on their imagination without experiencing much from the infants, feeling embarrassed when things did not progress as planned, and feeling a sense of loss when comparing with other friends. Through these difficulties, the importance of precise planning, executing the process thoroughly, and repeatedly checking and reviewing the entire process of making textbooks and materials were realized. In addition, there is a need to search for a better development direction for the effective development of teaching textbooks and materials.