• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.9
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• pp.289-296
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• 2017

Anger cause heart disease and domestic violence and recently there have been an increasing number of media reports of crimes committed because of their inability to control their anger. Anger has been reported to cause massive financial losses due to heart disease and domestic violence. Therefore, since anger raises serious social problems and social costs, it is necessary to take active intervention methods to alleviate inappropriate anger coping. A variety of methods such as cognitive and emotional approach, psycho-mechanical approach, psycho-educational approach, relaxation therapy, cognitive behavior-art therapy, and stress immunization are being explored and utilized for presenting effective anger-coping intervention alternatives. In this manner, information and communication technology is likely to be used as an effective means for this, and various researches are being conducted. The purpose of this study is to develop an anger coping service technology using ICT (Information & Communication Technology) technology as an effort to improve anger coping ability. In other words, the goal is to develop a technology that delays anger and evokes the surroundings by providing location-based services to recognize anger situations and facilitate anger. This research is about the technology which intervene directly the anger situation to resolve it using location information and introduce the base technology to realize it.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.129-148
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• 2023

Bitcoin is a blockchain technology-based digital currency that has been recognized as a representative cryptocurrency and a financial investment asset. Due to its highly volatile nature, Bitcoin has gained a lot of attention from investors and the public. Based on this popularity, numerous studies have been conducted on price and trend prediction using machine learning and deep learning. This study employed LSTM (Long Short Term Memory) and CNN (Convolutional Neural Networks), which have shown potential for predictive performance in the finance domain, to enhance the classification accuracy in Bitcoin price trend prediction. XAI(eXplainable Artificial Intelligence) techniques were applied to the predictive model to enhance its explainability and interpretability by providing a comprehensive explanation of the model. In the empirical experiment, CNN was applied to technical indicators and Google trend data to build a Bitcoin price trend prediction model, and the CNN model using both technical indicators and Google trend data clearly outperformed the other models using neural networks, SVM, and LSTM. Then SHAP(Shapley Additive exPlanations) was applied to the predictive model to obtain explanations about the output values. Important prediction drivers in input variables were extracted through global interpretation, and the interpretation of the predictive model's decision process for each instance was suggested through local interpretation. The results show that our proposed research framework demonstrates both improved classification accuracy and explainability by using CNN, Google trend data, and SHAP.

• Journal of the Korean association of regional geographers
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• v.23 no.3
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• pp.459-469
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• 2017

Recently, the third mission as the new role of the university is being emphasized as contributing to the local community through active participation in local and regional problems as well as an economic contribution as an entrepreneurial university. Thus, overseas universities started various university-industry collaboration activities targeting sustainable development based on local community and improve their roles for regional regeneration and innovation. Universities in Korea also tend to set up a cooperative governance with various agents in the local community via university financial support projects by the government and started to promote the university-industry collaboration project for solving the problem of the local community. Therefore, this research tries to find implications in order to expand the role and responsibility as local university and reinforce substantiality and enhancement of university-industry collaboration through a case analysis of university-industry collaboration to solve the problem in local communities in foreign countries. In order to solve the problem of local communities based on local agents-led small-sized projects, it is requested to improve the more active role of the university, local governments and university students.

• 한국노년학
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• v.29 no.3
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• pp.1043-1061
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• 2009

The purpose of this study is to evaluate cost side by type of long term care services economically, and then to discuss the findings and implications for the results of analysis. For this research, primary caregivers that provide care the elderly requiring long term care services sanctioned by National Health Insurance Corporation were drawn and surveyed. Among collected data, data for 422 primary caregivers were used for this study. The subjects used in this study consisted of family caregivers from various settings that give care to the elderly. The results of this study can be summarized as follows. First, caregiver's household income level is low. Therefore, caregiving families with the elderly are likely to have financial difficulties. Second, under coverage of long term care insurance system, the direct cost caregiving households pay for the elderly is still very high. Third, indirect cost of caregiving households accounted for the larger proportion caregiving costs. Fourth, social cost burden for caregiving the elderly is very high. This cost amount is appropriately equal to household income of caregivers surveyed in the research. Fifth, service use cost of caregiving households is differentiated by type of long term care service. Sixth, direct cost of caregiving households is statistically significantly differentiated by type of long term care service, but is differentiated less than service use cost. Seventh, social indirect cost for caregiving the elderly is statistically significantly differentiated by type of long term care service. Eighth, social cost amounts for the elderly utilizing long term care service is very high, total social cost per capita by types of long term care service tend to converge on average social cost per capita of total service.

• 한국노년학
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• v.31 no.4
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• pp.1047-1065
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• 2011

The main purpose of this study is to provide the sustainability and continuous development of Long-term care Insurance in projecting changes of the Long-term care Insurance beneficiary population and Cost. We conducted a transformed cohort-component projection method that are employed for the beneficiary population projection and applied the previous experiences in Japan and German. A transformed cohort-component method means that we also projected the increasing beneficiary of long-term care insurance for using the data of geriatric disease in NHIC and estimated the cost of insurance's financial resources. First of all, beneficiary increase and strategy of extending to level 4 are categorized 2 and the expense account projection are categorized 2. If it is thought experience of Japan and German, The Level 4 extend of insuree is projected 2012 or 2013. With the results of this study, we proposed that extended level 4 insuree include the 40%~90% of geriatric disease in elderly people. The number of beneficiaries in 2011 is expected to reach to about 342,896 and in 2015 is 415,905 on scenario 1. Scenario 2(40%of geriatric disease in elderly people), the number of beneficiaries in 2011 is 342,896 and in 2015 is 483,453. Scenario 3(90%of geriatric disease in elderly people), the number of beneficiaries in 2012 is 545,068 and in 2015 is 565,565. The cost of beneficiaries insurance benefit of scenario 1 are projected from 3,000billion in 2012 to 3,500billion won in 2015. Scenario 2 are projected from 3,100billion in 2012 to 4,000billion won 2015. Finally, The cost of Level 4 extending are need minimum 300billion to maximum 1,400billion won.

• International Area Studies Review
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• v.15 no.1
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• pp.173-193
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• 2011

Most of the research regarding economic effects of policy loans has thus far been focused on whether policy loans can improve the financial status or the management performance of small and medium enterprises (SMEs). Unlike previous researches, this study implemented an empirical analysis focused on the contribution of policy loans to easing the liquidity restriction of investment. To analyze whether investment liquidity restriction can be alleviated or not, this study attempted an empirical analysis utilizing the nonlinear Euler equation induced through optimization of investment and GMM (generalized method of moments) as its analysis methodology. With the SMEs that received policy financing from the Small and medium Business Corporation (SBC) in 2004, this study analyzed three years of panel data before(2001~2003) and after(2004~2006) receipt of policy loans. According to the empirical results, it appears that policy loans had effects on resolving liquidity restriction of investment, implying that policy financing eases the liquidity restriction of SME investment and would contribute to the growth and development of SMEs. Further, I checked robustness of empirical results using Tobin's q model. The empirical results also support that policy loans help to resolve liquidity constraint. With these results, it is understood that the critical view to date, which has emphasized the ineffectiveness of policy financing due to it having no or insignificant economic effects, may be wrong.

• Journal of Wetlands Research
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• v.25 no.4
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• pp.248-256
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• 2023

ESG, which stands for Environmental, Social, and Governance, becomes a keyword in managing a company as it becomes an "indicator" that judge companies. Since the environment has suffered so much damage for economic development, it is now to reflect the enormous environmental costs of the future in the management standard rather than the immediate financial benefits at the expense of the environment. Compared to the days when corporate social responsibility (CSR) was discussed, ESG management has improved significantly as it requires practice beyond the declarative level, but the level of consideration for the environmental field is still not high. There may be many backgrounds, but the biggest problem may be the lack of understanding for other fields. Accordingly, this study aims to inform corporates of the need for investment in the environmental field by explaining ESG reviewed in the environmental field and ESG management required in the environmental field. Furthermore, another purpose is to inform them that ESG management is a win-win strategy that can have a meaningful effect not only in the environmental field where investment is received but also in terms of companies by explaining the benefits that companies can gain through this. To reach this goal, this study proposed a method of restoring a damaged ecosystem based on corporate investment, evaluating its effects based on carbon absorption capacity, and using it as a means of carbon neutrality practice as well as ESG management performance of a company.

• Journal of Internet Computing and Services
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• v.24 no.5
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• pp.85-96
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• 2023

With advance of cloud computing technology, Blockchain as a Service of Cloud Service Provider has been utilized in various areas such as e-Commerce and financial companies to manage customer history and distribution history. However, if users' search history, purchase history, etc. are to be utilized in a BaaS in areas such as recommendation algorithms and search engine development, the users' search queries will be exposed to the company operating the BaaS, and privacy issues will be occured. Z. Guan et al. ensure the unlinkability between users' search query and search result using searchable encryption, and based on the inner product similarity, they select Top-k results that are highly relevant to the users' search query. However, there is a problem that the Top-k results selection may be not possible due to ties of inner product similarity, and BaaS over cloud is not considered. Therefore, this paper solve the problem of Z. Guan et al. using cosine similarity, so we improve accuracy of search result. And based on this, we design a BaaS with secure Top-k search that improved accuracy. Furthermore, we design a smart contracts that preserve privacy of users' search and obtain Top-k search results that are highly relevant to the users' search.

• Journal of the Korea Institute of Building Construction
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• v.23 no.6
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• pp.785-796
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• 2023

The adoption of Environmental, Social, and Governance(ESG) practices in domestic construction firms is predominantly driven by major corporations. These companies not only publish reports on their ESG management but also engage in a meticulous process of identifying key issues and setting priorities. This process entails an in-depth evaluation of the severity of various issues and the gathering of insights from experts in the field. Interestingly, a comparative analysis of ESG assessments for construction companies, both domestically and internationally, reveals significant discrepancies in outcomes. These differences stem from the varied evaluation methodologies and criteria employed by different assessing bodies. Addressing this gap, our study proposes a suite of strategies aimed at bolstering ESG management within the construction sector. We advocate for enhanced policy support and financial backing, especially targeting small and medium-sized enterprises(SMEs) to facilitate their engagement in ESG practices. A critical step forward involves the standardization and transparent disclosure of ESG evaluation criteria, tailored to reflect the unique aspects of the construction industry. Moreover, the standardization and publication of ESG assessments for subcontractors are essential, equipping them with the necessary tools for effective ESG management and evaluation. Given the global nature of construction projects, particularly those commissioned by the European Union in regions like Africa and East Asia, adherence to ESG standards is imperative. Our long-term vision includes the development of a comprehensive database detailing ESG regulations and their impacts, segmented by region and country. This repository will serve as a valuable resource for companies venturing into international construction projects.

• Korean Journal of Construction Engineering and Management
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• v.25 no.3
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• pp.27-36
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• 2024

The effective control of cost overrun is a crucial issue for construction companies to secure profitability. Especially in situations where cost pressures are significant due to factors such as rising raw material prices and increased financial costs due to high-interest rate policies, cost overruns resulting from project failures have a highly detrimental impact on the profitability of construction firms. The objective of this study is to analyze the current status of cost overrun control measures adopted by construction companies using the IPA technique and provide key characteristics and implications. The IPA analysis results showed that practitioners in general contractors exhibit a high level of interest and effort regarding cost overrun while the performance level is relatively low. Nevertheless, the measures considered important to control cost overruns generally show a high tendency for execution as well. Cost overrun control measures that show high importance but low execution are primarily related to collaboration and communication sectors. To effectively control cost overruns, enhancing collaboration and communication with construction supervisors/CM, headquarters, and regulatory authorities emerged as the most urgent need. Through this study, the current status and areas for improvement regarding cost overrun control measures in general contractors can be identified. This can be valuable for deriving directions and enhancements for future cost overrun control strategy development.