• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.447-456
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• 2021

State-Owned Enterprises (SOEs) are business entities that are owned mainly by the state. Good financial governance (GFG) is as important for SOEs as for the private sector companies. Prudence and GFG can affect the value of the company. This research aims to test the impact of macroeconomics, investment decisions, and financing decisions on prudence, Corporate Social Responsibility Disclosure (CSRD), dividend policy, and company value of SOEs registered on the IDX from 2014-2019. GFG and financing decisions are moderating variables. The population in this study is 16 SOEs listed on the Indonesia Stock Exchange from 2014-2019. The research method is quantitative and uses Partial Least Squares (PLS), which is an approach to Structural Equation Models (SEM) that allows researchers to analyze the relationships simultaneously. The results showed that macroeconomic factors, investment decisions, financing decisions, and prudence directly affect the company's value. However, CSRD and dividend policy directly do not affect the company's value. Prudence can mediate the influence of financing decisions on company value. GFG moderates the relationship between prudence and company value. Thus, GFG is key to producing compliant regulatory reports and disclosures. GFG aims at facilitating effective monitoring and efficient control of the business. Its essence lies in fairness and transparency in operations and enhanced disclosures for protecting the interest of different stakeholders.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.5
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• pp.1871-1890
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• 2021

The transition toward a contactless society has been rapidly progressing owing to the recent COVID-19 pandemic. As a result, the IT environment of organizations and enterprises is changing rapidly; in particular, data security is expanding to the private sector. To adapt to these changes, organizations and companies have started to securely transfer confidential data to residential PCs and personally owned devices of employees working from home or from other locations. Therefore, organizations and companies are introducing streaming data services, such as the virtual desktop infrastructure (VDI) or cloud services, to securely connect internal and external networks. These methods have the advantage of providing data without the need to download to a third terminal; however, while the data are being streamed, attacks such as screen shooting or capturing are performed. Therefore, there is an increasing interest in prevention techniques against screen capture threats that may occur in a contactless environment. In this study, we analyze possible screen capture methods in a PC and a mobile phone environment and present techniques that can protect the screens against specific attack methods. The detection and defense for screen capture of PC applications on Windows OS and Mac OS could be solved with a single agent using our proposed techniques. Screen capture of mobile devices can be prevented by applying our proposed techniques on Android and iOS.

• Analyses & Alternatives
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• v.4 no.1
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• pp.5-37
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• 2020

In the 2000s, financial exclusion of low-income people emerged as a major social problem in South Korea. Microcredit business was first introduced by NGOs to help the poor overcome poverty while the Korean government soon chose to initiate microcredit policies to assist financially marginalized low-income people as a key policy measure to alleviate social inequality and revitalize economy. Unlike the initial expectation that state intervention in microcredit industry would be more effective, the outcome has been much less impressive. This paper aims to examine the poor performance of state-led microcredit in South Korea during the period of Lee Myung-bak administration by employing the concepts of state autonomy and capacity. It finds that the state autonomy, a key characteristic of a developmental state, was high in the sense that the funds had been raised in the face of strong resistance from private financial institutions. Lack of state capacity such as low technocratic expertise and politicization of microcredit policy, however, turned out to be a major stumbling block to the state-led microcredit in South Korea. This study shows that although the Korean government still has strong willingness to intervene in the financial market even in the face of interest groups' opposition, the eventual success of state action largely depends on its capacity to effectively implement financial policies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.6
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• pp.1657-1673
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• 2023

With the advancement of information technology, criminals employ multiple cyberspaces to promote cybercrime. To combat cybercrime and cyber dangers, banks and financial institutions use artificial intelligence (AI). AI technologies assist the banking sector to develop and grow in many ways. Transparency and explanation of AI's ability are required to preserve trust. Deep learning protects client behavior and interest data. Deep learning techniques may anticipate cyber-attack behavior, allowing for secure banking transactions. This proposed approach is based on a user-centric design that safeguards people's private data over banking. Here, initially, the attack data can be generated over banking transactions. Routing is done for the configuration of the nodes. Then, the obtained data can be preprocessed for removing the errors. Followed by hierarchical network feature extraction can be used to identify the abnormal features related to the attack. Finally, the user data can be protected and the malicious attack in the transmission route can be identified by using the Wrapper stepwise ResNet classifier. The proposed work outperforms other techniques in terms of attack detection and accuracy, and the findings are depicted in the graphical format by employing the Python tool.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.924-926
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• 2021

AI (Artificial Intelligence) is being utilized in various fields and services to give convenience to human life. Unfortunately, there are many security vulnerabilities in today's ML (Machine Learning) systems, causing various privacy concerns as some AI models need individuals' private data to train them. Such concerns lead to the interest in ML systems which can preserve the privacy of individuals' data. This paper introduces the latest research on various attacks that infringe data privacy and the corresponding defense techniques.

• Asian Journal for Public Opinion Research
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• v.10 no.1
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• pp.4-22
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• 2022

The purpose of this study is to explore the structure of social discourse on aging in Korea by analyzing newspaper articles on aging. The analysis is composed of three steps: first, data collection and preprocessing; second, identifying the latent topics; and third, observing yearly dynamics of topics. In total, 1,472 newspaper articles that included the word "aging" within the title were collected from 10 major newspapers between 2006 and 2019. The underlying topic structure was analyzed using Latent Dirichlet Allocation (LDA), a topic modeling method widely adopted by text mining academics and researchers. Seven latent topics were generated from the LDA model, defined as social issues, death, private insurance, economic growth, national debt, labor market innovation, and income security. The topic loadings demonstrated a clear increase in public interest on topics such as national debt and labor market innovation in recent years. This study concludes that media discourse on aging has shifted towards more productivity and efficiency related issues, requiring older people to be productive citizens. Such subjectivation connotes a decreased role of the government and society by shifting the responsibility to individuals not being able to adapt successfully as productive citizens within the labor market.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.541-543
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• 2022

In recent years, retinal disorders have become a serious health concern. Retinal disorders develop slowly and without obvious signs. To avoid vision deterioration, early detection and treatment are critical. Optical coherence tomography (OCT) is a non-invasive and non-contact medical imaging technique used to acquire informative and high-resolution image of retinal area and underlying layers. Disease signs are difficult to detect because OCT images have many areas which are not related to any disease. In this paper, we present a deep learning-based method to perform multi-label classification on a long-tailed OCT dataset. Our method first extracts the region of interest and then performs the classification task. We achieve 98% accuracy, 92% sensitivity, and 99% specificity on our private OCT dataset. Using the heatmap generated from trained convolutional neural network, our method is more robust and explainable than previous approaches because it focuses on areas that contain disease signs.

• Journal of English Language & Literature
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• v.55 no.3
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• pp.497-515
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• 2009

Culture as a source of identity, as Edward Said says, can be a battleground on which various political and ideological causes engage one another. It is not mere individual cultivation or private possession, but a program for social cohesion. Sensitively aware that a national culture should be independent from Europe, Walt Whitman enacts a new form of literature by placing different cultural values against Old World tradition. His interest in autochthonous culture originates from his deep concern about national consciousness. He believes that literary taste directed toward highly-ornamented elite culture is an obstacle to cultural unification of a nation. In order to represent American culture of the common people, Whitman incorporates a lot of cultural material into his poetry. Since he believes that America has many respectable writers at home, he urges people to adjust to their own taste instead of running after foreign authors. Whitman differentiated his poetry from previous literary models by disrupting the established literary norms and reconfiguring cultural values on the basis of American ways of life. In his comment on other poets, he concentrates on the originality and nativity of poetry. By claiming that words have characteristics of nativity, independence, and individuality, he envisions American literature to be distinguished from British literature in literary materials as well as in language. Whitman s language is composed of a vast number of words that can fully portray the nation. He works over language materials in two ways: reterritorialization and deterritorialization. Not only does his literary language become subversive of the established literary language, but also makes it possible to express strength and intensity in feeling.

• Human Ecology Research
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• v.61 no.3
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• pp.375-387
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• 2023

In research on housing welfare policy, there has been little interest in middle-aged households compared with young or elderly households. The purpose of this study was to explore influences on the housing satisfaction of middle-aged renter households using microdata from the Korea Housing Survey 2021. A statistical analysis of data was performed on a total of 2,709,152 middle-aged (aged between 40 and 64 years) Jeonse (lumpsum housing lease) renters and monthly renters with deposits, living in private rental housing units. The major findings were as follows. Firstly, there were significant differences in housing unit satisfaction and residential environment satisfaction among renter groups by age and rental type. Early-middle-aged Jeonse renters displayed the highest satisfaction with both housing units and the residential environment, while semielderly monthly renters with deposits displayed the lowest satisfaction. Secondly, living in aged structures or in apartment units exerted the strongest influences on housing satisfaction, which implies the need for residential area regeneration programs that consider the situation of rental households. Thirdly, living in Incheon and Gyeonggi-do was found to have a negative influence on housing satisfaction. Fourthly, upward filtering on tenure types or lease renewal of the current house did not necessarily have a positive influence on the housing satisfaction of middle-aged renters. Based on the findings, suggestions were made to improve the housing situation of middle-aged renter households.

• Journal of Distribution Science
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• v.21 no.12
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• pp.83-89
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• 2023

Purpose: Research on spin-off and treasury stock is necessary because the market has realized that this can be utilized for major shareholder private interest. Considering the unique characteristic of a spin-off and treasury stock in the Korean stock market, this study contributes to the literature by examining the effects on shareholder value in the Korean distribution industry. Research design, data, and methodology: The present study investigates literature, analyst reports, and news articles to examine the spin-off process and analyze how treasury stock magic happens. Results: Setting the exchange ratio favoring Spin-Co in the spin-off is the leading cause for reducing the minor shareholders' value. Moreover, treating treasury stock as an asset is also problematic, allowing the allocation of Spin-Co shares. This leads to an increase in the major shareholder controls of Spin-Co without any contribution from the major shareholders. Therefore, the exchange ratio should be calculated reasonably, and treasury stock from the stock repurchase should be treated as stock retirement. Conclusion: By analyzing the spin-off and how treasury stock magic occurs, this study provides recommendations to improve shareholder value. Moreover, it contributes to the maturation of the Korean capital market by promoting a discussion on the revision of spin-off and treasury stock.