• Journal of Service Research and Studies
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• v.9 no.1
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• pp.73-86
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• 2019

This study discusses the 4th industrial revolution and technology commercialization (TC), identifies success factor (SFs) for TC from the literature review, and empirically tests these factors through questionnaires to executives in the 4th industrial revolution industries. Literature review identifies 11 SFs and they are communication, management support, incentives for TC, common goals, understanding business, awareness of TC, cooperation among partners, government support, concreteness of technology, demand-pull technology, and experience of TC. Questionnaires were administered to CEOs and CIOs in 202 companies in the 4th industrial revolution industries and final response rate was 64.4% (260 out of 404) that is considered to be high. Respondents rate cooperation among partners as the most important, followed by management support, communication, common goals, and incentives for TC. To successfully pursue technology commercialization projects in the 4th industrial revolution industries, the attention should be focused on SFs that are evaluated as very important.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.777-782
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• 2020

As the demand for the talented with computing thinking and programming skills increases the importance of coding education is increasing. Although various coding instructor training programs have been implemented nationwide, little research has been conducted analyzing the current status and contents of coding instructor training programs. Therefore, this thesis presents the design, development process and managing strategies of the 'Coding Instructor Training Courses for 4C Talent Development'. The training program consists of introductory courses and practical coding courses. In the introductory courses, learners acquires the basic knowledge required of coding instructors, and then proceeds to the practical courses to systematically learn the pedagogical knowledge and skills required to educate learners from kindergarten through high school. The case study introduced in this paper is expected to provide useful information to the educators planning and managing the coding instructor training program in the future.

• Research in Community and Public Health Nursing
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• v.12 no.3
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• pp.582-588
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• 2001

Purpose : This study is to examine the characteristics of the elderly and their family caregivers. to study the main factors affecting Nursing Home utilization, and to help frame a policy about Nursing Home's demand. management and welfare facilities. Method: Data for this present study were collected via questionnaires randomly distributed to family caregivers of the over 60-year-old patients at general hospital and university hospital in Seoul. Kyung-Ki Do and In-Chon from 26 June to 20 July, 2000. Questionnaires were issued to 512 people and 479 were returned. The data was analyzed by frequency, $x^2$-test, t-test, ANOVA. factor analysis. correlation coefficients analysis and Stepwise multiple regression analysis using SPSS 9.0. Result First. Instrumental Activities of Daily Living(IADL), duration of hospitalization, sex, marital status, behavior problems, home ownership, and cognitive disorder about elderly patients affect family caregivers burden. one of need factors. Secondly, marital status. religion. health status, sex, education and age in the family caregiver predisposing factors are main factors on Nursing Home utilization. Third, in need factors, care burden. time burden, family relation burden, physical burden and mental burden have an effect on Nursing Home utilization. Finally, the model the most important factors that affect Nursing Home utilization is composed of six of eleven totally, care burden, religion, time burden, health status, marital status and education. When the family caregivers get care burden and time burden. are highly educated, have no religion, have health problems, and have no spouse, it is possibility for them to utilize Nursing Homes. Conclusion: The government should decrease a family caregivers burden and seek to find how to support Nursing Homes. Furthermore. Social support program for the family caregivers should be required. Thus, the family caregivers need consultation and need to meet to talk about their patients. how to care them, get information, which are the crucial field in advancing the research in nursing science.

• Journal of The Korean Society of Agricultural Engineers
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• v.62 no.6
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• pp.73-83
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• 2020

Agricultural drought is a natural phenomenon that is difficult to observe and quantitatively express, and agricultural water use is high and usage patterns are diverse, so even if there is a lack of rainfall. The frequency and severity of agricultural drought are increased during the irrigation period where the demand for agricultural water is generated, and reasonable and efficient management of agricultural water for stable water supply is required. As one method to solve the water shortage of agricultural water in an unstructured method, it is necessary to analyze the appropriate supply amount and supply method through simulation from the intake works to the canals organization and paddy field. In this study, irrigation efficiency was analyzed for irrigation systems from April to September over the past three years from the Musu Reservoir located in Jincheon-gun, Chungcheongbuk-do and Pungjeon Reservoir located in Seosan-si, Chungcheongnam-do. SWMM (Storm Water Management Model) was used to collect agricultural water, and irrigation efficiency analysis was conducted using adequacy indicators, and water supply vulnerability. The results of the agricultural water distribution simulation, irrigation efficiency and water supply vulnerability assessment are thought to help the overall understanding of the agricultural water supply and the efficient water management through preliminary analysis of the methods of agricultural water supply in case of drought events.

• Fashion & Textile Research Journal
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• v.20 no.6
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• pp.679-689
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• 2018

The purpose of this study was to investigate the wearing & fit of ready-made and online custom dress shirts by surveying middle-aged men aged 40-54 years in order to collect information necessary for making good fit dress shirts. Also, we analyzed whether there were significant differences in the actual wearing of dress shirts according to the stature of middle-aged men. The stature was classified according to KS K 0050 as $R(157{\leq}x<170)$ and $T(170{\leq}x<182)$. The 23 questionnaire items were divided into three categories: 'General purchasing behavior and wearing', 'Fit satisfaction of ready-made dress shirts' and 'Wearing and fit satisfaction of online custom dress shirts'. Through the results of the study, we could understand the actual wearing condition of ready-made and online custom dress shirts. Also, differences in stature groups were found. The significant differences according to the stature groups were found in the interest in fashion, the purchase criteria, the limitation of the shirt size selection due to stature and body shape, shirt size satisfaction, repair experience, dissatisfaction with purchase and the experience of purchasing online custom dress shirts. Suggestions should be made to improve dissatisfaction with stature groups in the ready-made dress shirts. In addition, the study confirmed the consumer demand for the online custom dress shirts. In order to activate the online custom market, the online custom dress shirts company needs to reduce consumer dissatisfaction and improve size suitability.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.68 no.1
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• pp.27-35
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• 2019

There is a growing interest in various microgrid solutions that supply electricity 24 hours a day to off-grid areas where are not connected with the main grid, and Korea has many positive effects by constructing overseas microgrids as a country operating the emission trading scheme. Since it is not clear how to obtain load curves that is one of the inputs of the HOMER used to design a microgrid optimization plan, or it is necessary to examine whether electricity is supplied to the peak load level of the areas where have not received the electricity benefits from the viewpoint of the demand management, a methodology should be developed to know the load composition ratio and the shape of the daily load curve. In this paper, the relative coefficient and average load information for each load group obtained from the survey are used besides peak load and total average load. A mathematical model is proposed to derive the load composition ratio in the form of a Quadratic Programming and the load forecasting is performed using simple linear regression with future indicators. The effectiveness of the proposed method is confirmed for the Philippine island region supported by Korea Energy Agency and the Asian Development Bank.

• Journal of the Semiconductor & Display Technology
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• v.22 no.4
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• pp.154-160
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• 2023

Recently, with the activation of eBook services, books are being published simultaneously as physical books and digitized eBooks. Paper books are more expensive than e-books due to printing and distribution costs, so demand for relatively inexpensive e-books is increasing. There are cases where previously published physical books cannot be digitized due to the circumstances of the publisher or author, so there is a movement among individual users to digitize books that have been published for a long time. However, existing research has only studied the advancement of the pre-processing process that can improve text recognition before applying OCR technology, and there are limitations to digitization depending on the condition of the book. Therefore, support for book digitization services depending on the condition of the physical book is needed. need. In this paper, we propose a method to support digitalization services according to the status of physical books held by book owners. Create images by scanning books and extract text information from the images through OCR. We propose a method to recover text that cannot be extracted depending on the state of the book using BERT, a natural language processing deep learning model. As a result, it was confirmed that the recovery method using BERT is superior when compared to RNN, which is widely used in recommendation technology.

• Journal of Internet Computing and Services
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• v.25 no.2
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• pp.29-38
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• 2024

After Transcatheter Aortic Valve Replacement (TAVR), comprehensive management of complications, including the need for Permanent Pacemaker Implantation (PPI), is crucial, increasing the demand for accurate prediction models. Departing from traditional image-based methods, this study developed an optimal PPI prediction model based on ECG data using the XGBoost algorithm. Focusing on ECG signals like DeltaPR and DeltaQRS as key indicators, the model effectively identifies the correlation between conduction disorders and PPI needs, achieving superior performance with an AUC of 0.91. Validated using data from two hospitals, it demonstrated a high similarity rate of 95.28% in predicting PPI from ECG characteristics. This confirms the model's effective applicability across diverse hospital data, establishing a significant advancement in the development of reliable and practical PPI prediction models with reduced dependence on human intervention and costly medical imaging.

• Journal of the Microelectronics and Packaging Society
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• v.31 no.2
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• pp.16-22
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• 2024

With advances of artificial intelligence (AI) technology, the demand is increasing for high-end semiconductors in various places such as data centers. In order to improve the performance of semiconductors, reducing the pitch of patterns and increasing density of I/Os are required. For this issue, 2.5dimension(D) packaging is gaining attention as a promising solution. The core technologies used in 2.5D packaging include microbump, interposer, and bridge die. These technologies enable the implementation of a larger number of I/Os than conventional methods, enabling a large amount of information to be transmitted and received simultaneously. This paper proposes the Molded Bridge die on Substrate (MBoS) process technology, which combines molding and Redistribution Layer (RDL) processes. The proposed MBoS technology is expected to contribute to the popularization of next-generation packaging technology due to its easy adaption and wide application areas.

• Advanced Industrial SCIence
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• v.3 no.3
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• pp.20-28
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• 2024

This study aimed to verify the mediating effect of job burnout on the relationship between work overload and turnover intention among IT workers. For this study, a sample of 499 IT workers completed the online questionnaires: job demand scale, job burnout(emotional exhaustion, cynicism, professional efficacy) scale, turnover intention scale. The collected data were statistically analyzed using SPSS 25.0, and the Sobel test was conducted to verify the mediating effect. The results showed that work overload had a significant positive correlation with emotional exhaustion, cynicism, and turnover intention. Work overload had significant positive effects on emotional exhaustion and turnover intention. The full mediating effect of emotional exhaustion on the relationship between work overload and turnover intention was verified. Based on the findings, we discussed the necessity of addressing emotional exhaustion to prevent issues related to work overload and turnover intention among IT workers. Finally, we proposed human resource management strategies to address job burnout in IT workers and suggested directions for future research.