• KIPS Transactions on Software and Data Engineering
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• v.10 no.8
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• pp.331-338
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• 2021

Metaverse is a compound word of 'meta' and 'universe', which means transcendence and the world. It is a digital world where daily life and economic activities are possible. While the Metaverse is being actively used as an alternative space to enjoy leisure life since COVID-19, not much academic research on Metaverse in Korea has been done yet. Based on the previous research on Metaverse in Korea and overseas we conducted a typology analysis on cultural leisure-based Metaverse and a study on its key features. Considering the current situation in which the Metaverse era is blooming we also investigated the development trends of the Metaverse and related technologies at home and abroad. We also presented the direction of advancement of the cultural leisure-based Metaverse. This study differentiates itself from previous domestic and foreign studies by discovering and analyzing theoretical models, frameworks and features in terms of society, collaboration, and leisure use through case studies. It is meaningful that this research presents directions on further Metaverse research that reflect the current information technology (IT) and changes in life.

• International Area Studies Review
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• v.15 no.3
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• pp.325-348
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• 2011

This paper analyses how China is likely to be able to sustain its current pace of growth. The results of analysis show that China's economic growth matches standard growth patterns identified by the models of economic development such as structural change, catching up model. Furthermore, China's economic growth, within these analytical frameworks, matches those of Korea at an earlier stage of her development. So Korea's growth patterns may well apply to the future of China such as the benefits of free society with economics and politics which generate technical progress and innovations. A country with a high innovative capacity is one whose institutions - educational, economic, political, legal, and so forth - allow it to dynamically and continually generate new products and services in a myriad of sectors. These are the way how China is likely to be able to sustain her economic development.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.2
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• pp.303-308
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• 2019

Spring framework is widely used as a base technology for e-government frameworks and to the extent it is a standard for web service development tools of Korean public institutions. However, recently, a remote code execution vulnerability(CVE-2018-1270) was found in an application using a spring framework. This paper proposes a method of analyzing the vulnerability experiment using a hacking scenario, Proof Of Concept(POC), in which the spring framework is a hazard to the server. We propose the patch to version 4.3.16 and version 5.0.5 or later as an ultimate response. It is also expected that the proposed experiment analysis on vulnerability of hacking scenario will be used as a data for improving performance of security programs and establishing a new authentication system.

• Informatization Policy
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• v.25 no.4
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• pp.108-120
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• 2018

With the rise of the Fourth Industrial Revolution and I-Korea 4.0, both of which pursue strategies for industrial innovation and for the solution to social problems, the real estate industry needs to change in order to make effective use of available space in smart environments. The implementation of smart spaces is a promising solution for this. The smart space is defined as a good use of space, whether it be a home, office, or retail store, within a smart environment. To enhance the use of smart spaces, efficient decision-making and well-timed and accurate interaction are required. This paper proposes a smart space based on platform which takes advantage of emerging technologies for the efficient storage, processing, analysis, and utilization of big data. The platform is composed of six layers - collection, transfer, storage, service, application, and management - and offers three service frameworks: activity-based, market-based, and policy-based. Based on these smart space services, decision-makers, consumers, clients, and social network participants can make better decisions, respond more quickly, exhibit greater innovation, and develop stronger competitive advantages.

• Journal of the Korean Institute of Gas
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• v.23 no.1
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• pp.1-11
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• 2019

The Korean government has tried to introduce pipeline natural gas from Russia, instead of liquefied natural gas from Middle East Asia since 1990s. While this energy cooperation in North East Asia has been discussed in real politics and academic societies, the previous studies have shown the limits on policy implication because they just suggest necessity and possess the problems of weak theoretical frameworks. Therefore, this study tries to analyze the motivations, conditions, and stages for energy cooperation in this region from the viewpoint of economic integration theory. As a result of analysis, these countries in North East Asia have only one motivation, namely economic interest. On the contrary, they have several conditions including real benefit, complementation in economic structures, and convergence in policy goals. In conclusion, this study suggests that low level cooperation such as preferential trade agreement in the field of natural gas is possible and necessary in North East Asia.

• Journal of Environmental Health Sciences
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• v.47 no.1
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• pp.1-19
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• 2021

Objectives: Phthalates, which are widely used as plasticizers, have been recognized as endocrine disruptors. In the present study, we provided information on the regulation of these chemicals and summarized the information available on their detection and toxicity in children's products and those of their alternatives. Methods: The regulatory frameworks related to phthalates in children's products in Korea, the United States (US), and the European Union (EU) were compared. Data on the detection concentration of 16 phthalates and seven phthalate alternatives that could be used in polyvinyl chloride (PVC) plastic products for children as well as on their toxicity classification and endocrine disruption toxicity were collected from the literature. Results: Korea adopted US and EU chemical standards for six phthalates (DEHP, BBP, DBP, DINP, DIDP, and DNOP), but not others (e.g., DIBP, DPP, DHP, and DCHP). Among the ten phthalates and seven substitutes for which regulatory standards were not determined, DIBP, DHP, DEHA, DIBA, DINA, and DEHT were detected in children's products made from PVC plastic. DIBP and DHP, which have a reproductive toxicity classification of 1B, were frequently detected in PVC toys. The reproductive toxicity, estrogenicity, and anti-androgenic activity of the unregulated phthalates and their alternatives have been reported in diverse in vitro and in vivo assays. Conclusion: The use of unregulated phthalates and their substitutes in children's products is increasing. Further monitoring and toxicological information on phthalate alternatives is required to develop proper management plans.

• Journal of Family Relations
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• v.22 no.4
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• pp.81-105
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• 2018

Objective: The purpose of this study was to analyze how couples relationship education (CRE) programs in Korean scholarly journals have been developed since they first appeared in 1994. Method: We selected articles that were published in journals related to human ecology and that included information about how the authors developed CRE programs (premarital education, marriage education). Using coding schemes based on the theoretical frameworks of CRE, we quantitatively coded programs in four specific areas: (a) overall characteristics, (b) program planning, (c) program construction and implementation, and (d) program evaluation. Results: Although CRE programs have increased and evolved since the 1990s, the literature has been limited on testing long-term program efficacy, developing dissemination plans, and applying theories to program design. In terms of program participants and content, most programs had similar themes despite their differences in the target audience. We also found that few programs have been provided for diverse couples. As for evaluation, pre- and post-testing was the most common method of efficacy test. Conclusion: Our findings suggest that family researchers and practitioners develop more elaborate and systematic programs to advance CRE in Korea as a core topic of family life education and to provide evidence-informed practice.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.4
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• pp.16-41
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• 2020

Geospatial input setting to represent the reality of spatial distribution or quantitative property within model has become a major interest in earth system simulation. Many studies showed the variation of grid resolution could lead to drastic changes of spatial model results because of insufficient surface property estimations. Hence, in this paper, the authors proposed Monte Carlo Integration (MCI) to apply spatial probability (SP) in a spatial-sampling framework using a three-dimensional point cloud (3DPC) to keep the optimized spatial distribution and area/volume property of buildings in urban area. Three different decision rule based building identification results were compared : SP threshold, cell size, and 3DPC density. Results shows the identified building area property tend to increase according to the spatial sampling grid area enlargement. Hence, areal building property manipulation in the sampling frameworks by using decision rules is strongly recommended to increase reliability of geospatial modeling and analysis results. Proposed method will support the modeling needs to keep quantitative building properties in both finer and coarser grids.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.6
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• pp.1189-1206
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• 2020

Recently, ICT companies do not directly design, develop, produce, operate, maintain, and dispose of products and services, but are outsourced or outsourced companies are increasingly in charge. Attacks arising from this are also increasing due to difficulties in managing vulnerabilities for products and services in the process of consignment and re-consignment. In order to respond to this, standards and systems for security risk management of ICT supply chain are being established and operated overseas, and various case studies are being conducted. In addition, research is being conducted to solve supply chain security problems such as Software Bill of Materials (SBOM). International standardization organizations such as ISO have also established standards and frameworks for security of ICT supply chain. In this paper, we presents ICT supply chain security management items suitable for domestic situation by comparing and analyzing ICT supply chain security standards and systems developed as international standards with major countries such as the United States and EU, and explains the necessity of cyber security framework for establishing ICT supply chain security system.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.3 no.2
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• pp.67-72
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• 2022

Ecological research relies on the interpretation of large amounts of visual data obtained from extensive wildlife surveys, but such large-scale image interpretation is costly and time-consuming. Using an artificial intelligence (AI) machine learning model, especially convolution neural networks (CNN), it is possible to streamline these manual tasks on image information and to protect wildlife and record and predict behavior. Ecological research using deep-learning-based object recognition technology includes various research purposes such as identifying, detecting, and identifying species of wild animals, and identification of the location of poachers in real-time. These advances in the application of AI technology can enable efficient management of endangered wildlife, animal detection in various environments, and real-time analysis of image information collected by unmanned aerial vehicles. Furthermore, the need for school education and social use on biodiversity and environmental issues using AI is raised. School education and citizen science related to ecological activities using AI technology can enhance environmental awareness, and strengthen more knowledge and problem-solving skills in science and research processes. Under these prospects, in this paper, we compare the results of our early 2013 study, which automatically identified African cichlid fish species using photographic data of them, with the results of reanalysis by CNN deep learning method. By using PyTorch and PyTorch Lightning frameworks, we achieve an accuracy of 82.54% and an F1-score of 0.77 with minimal programming and data preprocessing effort. This is a significant improvement over the previous our machine learning methods, which required heavy feature engineering costs and had 78% accuracy.