• 한국노년학
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• v.38 no.3
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• pp.537-550
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• 2018

The purpose of this study was to investigate the status of total body water and it's influencing factors in community elderly. In this descriptive study, data were collected from 135 elderly at senior citizen center, from October 4 2016 to February 28 2017. Surveys using questionnaire and anthropometric measurements for BMI and total body water were done for data collection. The results of the study showed that while most of the subjects of the study showed total body water within the appropriate range, some elderly especially elderly women show a degraded total body water. Total body water showed significant difference according to sex, body mass index, number of chronic illness, number of medication and urinary incontinence levels. Significant influencing factors were BMI(${\beta}=-0.51$, p=<.001), sex(${\beta}=-0.47$, p=<.001) and this regression model explained 51% of the variance in total body water. In the future, attention needs to be paid to the total body water of the elderly in the local community, especially to the elderly women with risk factors.

• International Area Studies Review
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• v.15 no.2
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• pp.303-328
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• 2011

Over the past 30 years, China has maintained an annual growth rate of approximately 10%. But now China is confronted by an energy shortage and environmental pollution problems. In order to solve these environmental problems, China is not only making environmental laws and regulations to strengthen supervision, but also increasing the relevant budget. Environmental Management of Supply Chain is one of the most important tasks so that Chinese companies may effectively reduce environmental pollutions. Therefore, many empirical researches on environmental management of Chinese companies are very necessary. This study tested the actual effects on SCEM(Supply Chain Environmental Management) variables of Chinese enterprises in Shanghai and Shenyang. The results show that green design, green procurement, and extended producer responsibility have positive impacts on environmental outcomes.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.471-479
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• 2019

The purpose of this study was to investigate the determinants of preventive behavior intention to the particulate matter. The results based on the survey of 280 university students showed that the perceived susceptibility and barriers to the particulate matter do not have statistically significant effects on the preventive behavior intention. However, perceived severity and benefits, subjective norm, and self-efficacy to the particulate matter had statistically significant positive effects on the preventive behavior intention. The results of this study suggested that communication strategies to increase perceived severity and benefits, subjective norm and self-efficacy should be required to improve the degree of preventive behavior intention to the particulate matter of college students. It is expected to contribute explaining preventive actions against environmental hazards such as air pollution in the future.

• Journal of the Korea Convergence Society
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• v.10 no.1
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• pp.329-338
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• 2019

The purpose of this study was conducted to investigate the relationship among working conditions, health status and well-being of door to door deliverers as well as to identify the factors influencing well-being. Study participants of 248 door to door deliverers were collected from the 2014 Korean Working Conditions Survey. Data were analyzed using the SPSS 24.0 statistical program. As a results, the factors influencing well-being of door to door deliverers were musculoskeletal work-related risk, working condition satisfaction, work life balance, and subjective health status and these variables explained 23.9% of well-being. Based on these findings, programs that develop working condition and health status are necessary for door to door deliverers to well-being.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.248-253
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• 2019

Early diagnosis of mild cognitive impairment (MCI) can reduce the incidence of dementia. This study developed the MCI prediction model for the elderly in Korea. The subjects of this study were 3,240 elderly (1,502 men, 1,738 women) aged 65 and over who participated in the Korean Longitudinal Survey of Aging (KLoSA) in 2012. Outcome variables were defined as MCI prevalence. Explanatory variables were age, marital status, education level, income level, smoking, drinking, regular exercise more than once a week, average participation time of social activities, subjective health, hypertension, diabetes Respectively. The prediction model was developed using Restricted Boltzmann Machine (RBM) neural network. As a result, age, sex, final education, subjective health, marital status, income level, smoking, drinking, regular exercise were significant predictors of MCI prediction model of rural elderly people in Korea using RBM neural network. Based on these results, it is required to develop a customized dementia prevention program considering the characteristics of high risk group of MCI.

• The Korean Journal of Applied Statistics
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• v.32 no.1
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• pp.83-97
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• 2019

As society develops, the dissemination of microdata has increased to respond to diverse analytical needs of users. Analysis of microdata for policy making, academic purposes, etc. is highly desirable in terms of value creation. However, the provision of microdata, whose usefulness is guaranteed, has a risk of exposure of personal information. Several methods have been considered to ensure the protection of personal information while ensuring the usefulness of the data. One of these methods has been studied to generate and utilize synthetic data. This paper aims to understand the synthetic data by exploring methodologies and precautions related to synthetic data. To this end, we first explain muptiple imputation, Bayesian predictive model, and Bayesian bootstrap, which are basic foundations for synthetic data. And then, we link these concepts to the construction of fully/partially synthetic data. To understand the creation of synthetic data, we review a real longitudinal synthetic data example which is based on sequential regression multivariate imputation.

• Journal of the Korea Society of Computer and Information
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• v.26 no.4
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• pp.231-237
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• 2021

Over a decade ago, Krasnova et al. identified the factors that influence Facebook users' self-disclosure. These factors include perceived risks, relationship building, relationship maintenance, self-presentation, and enjoyment. Meanwhile, during the past 10 years, there have been significant changes in terms of function, media, and competition. SNSs have been functionally enhanced, used in mobile environment, and had many competitors. Based on these facts, it is believed that the influence of the factors on self-disclosure is different from those of Krasnova et al. The purpose of this study is to verify through a replication study whether the factors adopted in the study of Krasnova et al. are still important in explaining self-exposure. The study empirically find the result significantly different from those of Krasnova et al. Based on the result, the study provides meaningful implications and suggestions for future research.

• 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.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.4
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• pp.587-593
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• 2022

This study was conducted with the aim of testing the relationship between authority-giving leadership recognized by maritime police officials with organizational citizenship behavior. There are various types of leadership. Marine police officials will be able to help solve more effective problems in practice by the authority granted due to the nature of their duties. Organizational citizenship behavior is informal, though. However, as a result, it is related to organizational development. Recently, as a study for organizational development, many studies on empowerment leadership and organizational citizenship behavior are being conducted. In this study, 168 marine police officials were surveyed. As a result of the study, the authority-granting leadership and organizational citizenship behavior of marine police officials are very important factors due to the dangers and unexpectedness of the duties of marine police officials. Policy suggestions were made for the development of the maritime police organization.

• Informatization Policy
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• v.30 no.1
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• pp.67-88
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• 2023

The expansion of the scope of product liability is necessary because the industrial environment has changed following the enactment of the Product Liability Act. Unlike human-coded algorithms, artificial intelligence is black-boxed according to machine learning, and even developers cannot explain the results. In particular, since the cause of the problem by artificial intelligence is unknown, the responsibility is unclear, and compensation for victims is not easy. This is because software or artificial intelligence is a non-object, and its productivity is not recognized under the Product Liability Act, which is limited to movable property. As a desperate measure, productivity may be recognized if it is stored or embedded in the medium. However, it is not reasonable to apply differently depending on the medium. The EU revise the product liability guidelines that recognize product liability when artificial intelligence is included. Although compensation for victims is the value pursued by the Product Liability Act, the essence has been overlooked by focusing on productivity. Even if an accident occurs using an artificial intelligence-adopted service, however, it is desirable to present standards according to practical risks instead of unconditionally holding product responsibility.