• Korean Journal of Construction Engineering and Management
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• v.24 no.6
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• pp.81-90
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• 2023

Climate change has resulted in increased frequency and intensity of heat waves, which poses a significant threat to the health and safety of construction workers, particularly those engaged in labor-intensive and heat-stress vulnerable working environments. To address this challenge, this study aimed to propose an interpretable machine learning approach for forecasting personal heat strain by considering the cumulative effect of heat exposure as a situational variable, which has not been taken into account in the existing approach. As a result, the proposed model, which incorporated the cumulative working time along with environmental and personal variables, was found to have superior forecast performance and explanatory power. Specifically, the proposed Multi-Layer Perceptron (MLP) model achieved a Mean Absolute Error (MAE) of 0.034 (℃) and an R-squared of 99.3% (0.933). Feature importance analysis revealed that the cumulative working time, as a situational variable, had the most significant impact on personal heat strain. These findings highlight the importance of systematic management of personal heat strain at construction sites by comprehensively considering the cumulative working time as a situational variable as well as environmental and personal variables. This study provided a valuable contribution to the construction industry by offering a reliable and accurate heat strain forecasting model, enhancing the health and safety of construction workers.

• Journal of the Korean Home Economics Association
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• v.31 no.3
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• pp.113-125
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• 1993

The purpose of this paper was to investigate the relations among wife's job and family life structure of couples, and to compare them between Japan and Korea. The data for this study was obtained from a survey of 247 Japanese couples who were risiding in Osaka and 235 Korean couples in Deagu, 1992. The major findings of this study can be summarized as follow: 1. The contents of Household works is classified into three factors-daily routine houseworks, child-rearing, economic-management of household, in Korea, and into two factors-daily routine houseworks, child and economic management, in Japan. The contents of descision making is classified into four factors-husband's personal sphere, family life management, wife's personal sphere, and home economic sphere, in Korea, and three factors-husband's personal sphere, economic life management of family, and wife's personal sphere, in Japan. 2. In Korea and Japan, wife's job have not effect on couple's marital satisfaction, directly. However, wife's job contribute to husband's share of daily routine houseworks.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.12
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• pp.2274-2281
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• 2016

In the long-term ecological research community, personal information is an important factor for the collaboration of data management and data usage in international long-term ecological research as well as on the national level. If lots of personal information was disclosed, collaborative researchers are useful to carry out research cooperation, whereas, information providers tend to be burdened to disclose it. LTER system should be considered to provide both maximum personal information required by a community and minimum personal information to be provided to unrelated people due to the scale of personal information and a number of the constraints on disclosure in the aspect of information distribution of the laws associated with personal information protection. In this article, we analyze international ecological metadata standard, EML, and trends in personal information management throughout international long-term ecological research platforms and propose a system model capable of managing personal information based on related domestic laws for the international data exchange through design and implementation.

• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.1-14
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• 2022

This study tried to suggest crisis management compliance to prevent personal information infringement accidents that may occur in the process because the data including personal information is being processed in the artificial intelligence (AI) service process. To this end, first, the AI service provision process is divided into 3 processes such as service planning/data design and collection process, data pre-processing and purification process, and algorithm development and utilization process. And 3 processes are subdivided into 9 stages following to personal information processing stages to infringe personal information. All processes were investigated with literature and experts' Delphi. Second, the investigated personal information infringement factors were selected through FGI, Delphi, etc. for experts. Third, a survey was conducted with experts on the severity and possibility of each personal information infringement factor, and the validity and adequacy of the 94 responses were verified. Fourth, to present appropriate risk management compliance for personal information infringement factors in AI services, a method for calculating the risk level of personal information infringement is prepared by utilizing the asset value of personal information, personal information infringement factors, and the possibility of infringement accidents. Through this, the countermeasures for personal information infringement incidents were suggested according to the scored risk level.

• The Journal of the Korea Contents Association
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• v.12 no.1
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• pp.409-415
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• 2012

The purpose of this study is to know the status of management of nosocomial infection and to present basic data for improving management of nosocomial infection. As a result, the average score of the recognition and performance of radiologist on the management of hand washing is 4.378, and 4.199 of 5. The average score of the recognition and performance of radiologist on the management of personal hygiene is 4.284, and 3.990 of 5. The recognition of hand washing management according to the general character, statistically significant difference according to the gender, age, education, career. In the performance is statistically significant difference according to the gender, marriage situation. In the recognition of personal hygiene management according to the general character, statistically significant difference according to the age, education, career. Performance of statistically significant difference according to the marriage situation, career. Finally, statistically significant difference between recognition and performance of radiologists on management of hand washing(r=0.453, p=0.000) and personal hygiene(r=0.415, p=0.000).

• The Journal of Society for e-Business Studies
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• v.17 no.3
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• pp.43-60
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• 2012

This study reviews the life cycle models considering legal and technical characteristics of personal data respectively. Based on the reviews, this research proposes 'consent and management based model of personal data' which is applicable to the domestic IT companies. The model suggested in this paper has characteristics that 'Consent' and 'Management' factors are ㅁpositively considered, which is overlooked in the other models. The validity of the model is examined by two methods, validation of the model of excellence by contrast of the other models, and 'consent' and 'management' factors cover all the life cycle processes. Using this model, IT companies will be contributed to the analysis of the personal data utilization and the development of IT system protection.

• Journal of Korean Society for Quality Management
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• v.45 no.3
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• pp.583-594
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• 2017

Purpose: The purpose of this study is how personal information protection risks affect the intention to use domestic smart banking services. VAM(Value based Adoption Model) model is validated as a theoretical background, selecting ease of use, usefulness and perceived security as a benefit factor, and considers perceived cost, technical complexity, and risk of personal information leakage as a sacrifice factor. Methods: The method of this study used questionnaire survey to collect 365 data on suer's perception on smart banking services, and also performed a structural equation modeling method using by AMOS 23. Results: The result of this paper shows that all hypothesis are accepted statistically significant except 1 hypothesis. Conclusion: This research is concluded that perceived value is affected on statistically positive impact on ease of use, usefulness and perceived security, and negative impact on perceived cost and risk of personal information violation, not statistically technical complexity.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.10
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• pp.2423-2428
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• 2015

We have implemented a personal prescription management system which enables resource-limited mobile device to utilize the optical character recognition technique. The system enables us to automatically detect and recognize the text in the personal prescription by using a optical character recognition technique. We improved the recognition rate over a pre-processing in order to improve the character recognition rate of the original method. The examples such as a personal prescription management service, alarm service, and drug information service with mobile devices have been demonstrated by using the our system.

• Journal of Korean Society of Archives and Records Management
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• v.15 no.4
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• pp.77-98
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• 2015

This study was carried out to develop the educational program which can be used in the university library or archives to their students under an aspect that each individual should preserve own personal archives themselves. Based on precedent studies and foreign cases, a survey study on preservation of digital personal archives for the university students was carried out. The educational program of preservation reflected conditions of the undergraduates attending Pusan national university. The educational program is dealt with a total of seven contents including awareness-raising, creation methods, managements methods, selection of archives, construction of preservation folder, construction of preservation copy, and the management of preservation copy.

• Journal of Information Technology Applications and Management
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• v.16 no.4
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• pp.79-92
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• 2009

With the rising reliance on market estimation through customer analysis in customer-centered marketing, there is a rapid increase in the amount of personal data owned by corporations. There has been a corresponding rise in the customers' interest in personal information protection, and the problem of personal information leakage has risen as a serious issue. The purpose of this research is to develop a diagnosis model for personal information protection that is suited to our country's corporate environment, and on this basis, to present diagnostic instruments that can be applied to domestic corporations. This diagnosis model is a structural equation model that schematizes the degree of synthetic effect that administration factors and estimation items have on the protection of personal information owned by corporations. We develop the model- consisting of the administration factors for personal information protection and the measurement items of each factor- using the development method of standardized structural equation model. We then present a tool through which the administration factors and estimation items verified through this model can be used in the diagnosis for personal information protection in corporations. This diagnostic tool can be utilized as a useful instrument to prevent in advance the leakage of personal information in corporations.