• Journal of the Korea Society of Computer and Information
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• v.26 no.4
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• pp.1-9
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• 2021

In this paper, we propose a training algorithm of support vector machine (SVM) with a sensitive variable. Although machine learning models enable automatic decision making in the real world applications, regulations prohibit sensitive information from being used to protect privacy. In particular, the privacy protection of the legally protected attributes such as race, gender, and disability is compulsory. We present an efficient least square SVM (LSSVM) training algorithm using a fully homomorphic encryption (FHE) to protect a partial sensitive attribute. Our framework posits that data owner has both non-sensitive attributes and a sensitive attribute while machine learning service provider (MLSP) can get non-sensitive attributes and an encrypted sensitive attribute. As a result, data owner can obtain the encrypted model parameters without exposing their sensitive information to MLSP. In the inference phase, both non-sensitive attributes and a sensitive attribute are encrypted, and all computations should be conducted on encrypted domain. Through the experiments on real data, we identify that our proposed method enables to implement privacy-preserving sensitive LSSVM with FHE that has comparable performance with the original LSSVM algorithm. In addition, we demonstrate that the efficient sensitive LSSVM with FHE significantly improves the computational cost with a small degradation of performance.

• 한국노년학
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• v.37 no.2
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• pp.349-368
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• 2017

The purpose of this study is to empirically structure the patterns of baby boomer retirees'consumption and their effects on depression in later life. Using the 5th wave of Korea Retirement and Income Study(KReIS) in 2013, of baby boomers born in 1955 to 1963, we analyzed those who were completely retired(n=420). The Latent Profile Analysis(LPA) classified the empirical patterns of consumption and then a multiple regression analyzed the effect of consumption patterns on depression among these baby boomer retirees. The LPA results showed that the consumption patterns consist of five groups: (1) Basic life-oriented class(26.9%), (2) Balanced consumption class(29.3%), (3) Social life-oriented class(18.3%), (4) Leisure-oriented class(18.5%), and (5) Education-oriented class(7.0%). Baby boomer retirees' depression was associated with their consumption patterns. Specifically, the basic life-oriented class showed significantly lower depression than the education-oriented class. Other correlates such as higher education, having no spouse, lower subjective health, greater limitations in physical functions, having a diagnosed disability, having fewer children, higher dissatisfaction with leisure activities, and lower self-perceived economic status were associated with higher levels of depression in this study. These findings suggest meaningful implications for gerontological policy and practice for baby boomer retirees in Korea. In light of vulnerable retirement preparation, social services specialized for baby boomers should consider financial education for revamping consumption scale beyond asset management and long-term case management of pre and post retirement cases.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.1
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• pp.63-72
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• 2010

RFID is one of useful identification technology in ubiquitous environments which can be a replacement of bar code. RFID is basically consisted of tag, reader, which is for perception of the tag, and back-end-database for saving the information of tags. Although the usage of mobile readers in cellular phone or PDA increases, related studies are not enough to be secure for practical environments. There are many factors for using mobile leaders, instead of static leaders. In mobile reader environments, before constructing the secure protocol, we must consider these problems: 1) easy to lose the mobile reader 2) hard to keep the connection with back-end-database because of communication obstacle, the limitation of communication range, and so on. To find the solution against those problems, Han et al. suggest RFID mutual authentication protocol without back-end-database environment. However Han et al.'s protocol is able to be traced tag location by using eavesdropping, spoofing, and replay attack. Passive tag based on low cost is required lots of communication unsuitably. Hence, we analyze some vulnerabilities of Han et al.'s protocol and suggest RFID mutual authentication protocol without online back-end-database in aspect of efficiency and security.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.742-751
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• 2020

The purpose of this study was to examine the relationship between depression, perceived health status, and health promotion behavior of frail elderly. The subjects were 164 frail elders aged over 65 registered with the home visiting services of two welfare centers in D city. Data was collected using structured questionnaires from January 2 to February 21, 2020. Data was analyzed using the t-test, ANOVA, Scheffe test, Pearson's correlation coefficients and stepwise multiple regression with the SPSS/WIN 23.0 program. The mean depression score was 10.67, perceived health status was 6.71, health promotion behavior score was 2.59. Health promotion behavior and depression were negatively correlated and perceived health status was positively correlated. Factors influencing health promotion behavior were age, education level, and depression. These variables accounted for 73.6% of health-promoting behaviors. Based on these results, we conclude that it is important to continue health promotion for the frail elderly through various programs including interventions for depression to prevent the elderly from progressing to disability.

• Journal of Korea Entertainment Industry Association
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• v.15 no.4
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• pp.73-87
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• 2021

Special theaters were created to provide a sense of immersion and spectacles due to differentiated screens, sound, seating facilities, and advanced services, and also expanded screens. The purpose of this study is to perform comparative analysis of the technical characteristics formats shown in special theaters(3D film, 4DX, IMAX, ScreenX, and VR) in order to identify and find ways to overcome the technological limitations in production. The various formats show differences in field of view depending on the exhibition technology and these differences affect the mise-en-scene, narrative, and editing of the film and consequently result in changes in the production environment and process. Therefore, directors and creators must understand the technological features and limitations of the new formats before making their approach. However, a new format encounters limitations on production sets due to the decline of technical education and succession. In situations where shooting with a special camera is essential, the particular characteristics of each format should be carefully considered from the planning stage but financial problems arise due to increase in production period and cost. To overcome these various obstacles, it is essential to first identify problems and present alternatives through in-depth research on the production set of each format. Finally, this research aims to explore the prototype of each format and analyze the current state of production technology with formats that have not been adapted to the market trends by combining with the other formats and showing that they can survive in new ways.

• The Korean Journal of Applied Statistics
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• v.35 no.4
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• pp.457-468
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• 2022

In aged society, it is important to prevent older people from being disability needing long-term care. The purpose of this study is to develop a prediction model to discover high-risk groups who are likely to be beneficiaries of Long-Term Care Insurance. This study is a retrospective study using database of National Health Insurance Service (NHIS) collected in the past of the study subjects. The study subjects are 7,724,101, the population over 65 years of age registered for medical insurance. To develop the prediction model, we used logistic regression, decision tree, random forest, and multi-layer perceptron neural network. Finally, random forest was selected as the prediction model based on the performances of models obtained through internal and external validation. Random forest could predict about 90% of the older people in need of long-term care using DB without any information from the assessment of eligibility for long-term care. The findings might be useful in evidencebased health management for prevention services and can contribute to preemptively discovering those who need preventive services in older people.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.4
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• pp.161-180
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• 2022

This study aims to improve the accessibility of websites that can search for online e-journals and check the original text, and the accessibility of web contents in the form of article papers. In order to publish online e-journals in Korea, article contribution management system is used, and services are provided through public or private academic DB companies. There was no content related to accessibility in the publishing and editing stage of online e-journals. In the case of foreign countries, objective to comply with Level AA of WCAG 2.1 to improve accessibility of websites and web content. In addition, the level of accessibility of academic journals is guided through VPAT. In order to improve access to web content in online journals, Accessibility matters are added to the academic society's editorial and publication regulations. Accessibility education should be provided to journal editors. Accessibility checklists should be developed and researchers should verify themselves. To improve the accessibility of online e-journals to websites, For equal use, various convenience functions should be provided when using the website. It guides the accessibility function to the article contribution management system. Each academic and academic DB company should be required to submit a Korean VPAT.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.1-8
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• 2022

Although the OTT industry is an area that needs urgent policy response as a priority area under the new industry regulatory reform master plan, various issues are occurring due to the lack of related institutional infrastructure. Therefore, this study aims to analyze the policy conflict structure in which regulatory obstacles and delays occur by listening to the opinions of major stakeholders and using the Q methodology to identify the regulatory innovation demand of the OTT industry. The analysis results are as follows. The analysis results are as follows. First, in the implementation of OTT-related policies, it is necessary to improve the standard system for the method of settlement of copyright fees. Second, it is required to improve the support method that can reduce the burden of OTT operators' fund. Third, it is necessary to supplement the system by changing the regulatory application method for potential regulatory issues related to zero-rating. This study can be utilized in the process of introducing a system in which various stakeholders are connected and developed in a complex manner in the process of regulatory innovation in new industries and services.

• Journal of Korean Society of Disaster and Security
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• v.16 no.1
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• pp.1-11
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• 2023

The comprehensive natural disaster reduction plan, the highest plan in the disaster prevention field, was implemented by local governments. second plan is currently being formulated. In order to minimize human and property damage, structural and non-structural measures for each of the nine disaster types are established and implemented for 10 years. Structural measures are based on engineering and quantitative analysis, and the criteria for setting reduction measures are clear. Non-structural measures, however, currently lack the set criteria. the basic disaster and safety management law included the safety vulnerable class in 2018. Currently, the safety vulnerable class of the detailed establishment criteria of the comprehensive natural disaster reduction plan is being established, including children, the elderly, and the disabled. However, due to the lack of data securing and database construction by local governments, it is difficult to prepare a location map for establishing reduction measures for the safety vulnerable. Therefore, in this study, OPEN API data of the safety vulnerable class were collected and statistical information and GIS of SGIS information services were used. The distribution diagram of the safety vulnerable class in Samcheok, Gangwon-do, which is a sample area, and the distribution diagram of the safety vulnerable class in units of the output area (OA) in Geundeok-myeon were prepared.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.125-144
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• 2023

Recently, the use of Large Language Models (LLMs) such as ChatGPT has been increasing in various fields such as interactive commerce and mobile financial services. However, LMMs, which are mainly created by learning existing documents, can also learn various human biases inherent in documents. Nevertheless, there have been few comparative studies on the aspects of bias and discrimination in LLMs. The purpose of this study is to examine the existence and extent of nine types of discrimination (Age, Disability status, Gender identity, Nationality, Physical appearance, Race ethnicity, Religion, Socio-economic status, Sexual orientation) in LLMs and suggest ways to improve them. For this purpose, we utilized BBQ (Bias Benchmark for QA), a tool for identifying discrimination, to compare three large-scale language models including ChatGPT, GPT-3, and Bing Chat. As a result of the evaluation, a large number of discriminatory responses were observed in the mega-language models, and the patterns differed depending on the mega-language model. In particular, problems were exposed in elder discrimination and disability discrimination, which are not traditional AI ethics issues such as sexism, racism, and economic inequality, and a new perspective on AI ethics was found. Based on the results of the comparison, this paper describes how to improve and develop large-scale language models in the future.