• Journal of Digital Convergence
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• v.17 no.9
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• pp.301-310
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• 2019

This study aims to examine eligibilities, services and delivery of services for the current end-of-life care and analyze the quality control of services for end-of-life care. We analyzed the literature and laws on end-of-life systems in Korean and the United States. Current end-of-life care, hospice and palliative care in Korea is being provided mainly in hospital setting. Quality control for the services focuses on setting the criteria for structures in hospitals (i.e. staffing, facilities and equipment). Whereas American end-of-life care system has much broader eligibility for service beneficiaries and provides care mostly at home. Also quality control for services includes process (delivering service) and outcomes, such as monitoring performance indicators and consumer's satisfaction. This is linked to annual payment. The comparative analysis findings contributed to give the next direction of current Korean end-of-life care system. It is nessary to establish the better and extensive end-of-life care system in Korea in considering other countries' end-of-life care systems based on more future research.

• Journal of the Korea Institute of Building Construction
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• v.19 no.2
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• pp.175-184
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• 2019

This paper presents a modeling prototype that optimizes construction processes implementing information communication technology (ICT). Using "IAMB", each and every actual steps of the construction process may be defined visually and explicitly by elaborating ICT to improve productivity and management efficiency. It contributes to identify the features on what parts of construction task are covered by ICT, and the effects of ICT on process performance. After analyzing 10 real project cases, ICT application types are classified into four categories according to ICT type, job functions that ICT applied, and the project phase in which ICT used. As a reuslt, it was confirmed that the positive outcomes on the construction process were beneficial to mostly the general contractors and mainly obtained by automated information processing, external consignment and consistent information use. Negative effects, which were occurred by mainly manual manipulation and duplication of information handling, were accrued to general contractors minimally, but to subcontractors maximally. Expert focus group commends that several important issues should be considered when implementing ICT.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.327-340
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• 2021

The purpose of this study aims to empirically verify about the impact of the customer satisfaction on the characteristics factors(presence, empathy, responsiveness, and interaction) on the customer satisfaction of 'Asia Model Festival', which was heldis an as untacted fashion and beauty performance that was successfully conducted in Seoul duringinyear 2020. and tThe regulatory effect of innovation resistance in the relationship of the characteristic factors and the customer satisfaction was also reviewed. The analysis showed that the characteristic factors have a positive effect on customer satisfaction, and the innovation resistance is found to control the relationship between interaction, empathy, and the customer satisfaction of the characteristic factors by the subfactor. By identifying the characteristic factors that affect the customer satisfaction of the un-tacted(Zzero Ccontact) visitors, which are expanding due to COVID-19, and studying the effect of controlling the innovation resistance, this study provides a basis for knowing what un-tacted(Zzero Ccontact) visitors need and what services they want to receive, and it presents practical implications and provides basic data for relevant research.

• Journal of The Korean Association of Information Education
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• v.24 no.5
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• pp.483-494
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• 2020

With the advent of the 4th Industrial Revolution, interest in AI education is increasing. In order to cultivate talented people with AI competencies who will lead the future, AI education must be conducted in a sound manner at the school site. Although AI education is being conducted at home and abroad, it was determined that the role of the AI education platform is important to implement better AI education, so this study investigated the perception of experts on the AI education platform. A perception survey was conducted based on five criteria: teaching and learning management, educational contents, accessibility, performance of AI education platform, and level suitability of elementary school students. As a results, the number of 103 educational experts selected 'Entry' as the most proper platform among the eight platforms - 'Machine learning for Kids', 'Teachable Machine', 'AI Oceans(code.org)', 'Entry', 'Genie Block', 'Elice', 'mBlock' and etc. Analysis shows that this is because 'Entry' provides quality educational content, has convenient accessibility, is easy to manage teaching and learning, as well as an AI education platform suitable for the level of elementary school. In order to apply various AI education platforms to the school field, it is necessary to train teachers in AI-related training to train them as AI education experts, and to continuously provide opportunities to experience AI education platforms. In this study, there are limitations to what is called 'a population perception survey'. because only 103 people were surveyed, and most of the experts are working in a specific area(Gyeonggi-do). In the future, it is judged that research targeting experts at the national level should be conducted to supplement these limitations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.104-112
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• 2021

For extrusion processes in the process industry, the need to build smart factories is increasing. However, in most extrusion production sites, the production method is continuous, and because the properties of the data are undeed, it is difficult to process the data. In order to solve this problem, we present a methodology utilizing a near field communication (NFC) sensor rather than water-based data entry. To this end, a wireless network environment was built, and a data management method was designed. A non-contact NFC method was studied for the production performance-data input method, and an analysis method was implemented using the pivot function of the Excel program. As a result, data input using NFC was automated, obtaining a quantitative effect from reducing the operator's data processing time. In addition, using the input data, we present a case where a bottleneck is improved due to quality problems.

• Journal of Industrial Convergence
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• v.19 no.1
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• pp.17-26
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• 2021

This study was conducted to do in-depth exploration of coroperate employees' learning experiences for workplace under COVID-19. We collected data through depth interviews from August 10th to November 30th, 2020 with five employees of S Energy company, and a qualitative case study was conducted using Ricci's 3-step analysis procedure. As a result, In the process of adapting from the landing of COVID-19, "The Story of a Distant Country," "No More Safe Zones," "Exploring effective responses created by a Sense of Crisis," and "Learning the changed way of work for adaptation." appeared. In addition, It has been found that the experience of learning in the work environment of the With Corona era includes "learning experience for survival from a sense of crisis", "learning experience for adapting to Untact culture", "learning experience through SNS communication", and "competitive learning experience for performance creation". In conclusion, employees have adapted to changes in the workplace environment through various learning experiences, which can enhance workers' ability to cope with crisis situations and can be used as basic data for an effective learning. In the future, we suggested follow-up researches of corporate employees in various fields.

• Journal of Korean Library and Information Science Society
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• v.52 no.4
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• pp.79-102
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• 2021

This research is based on open data from the National Library Statistics System and Seoul Survey 2020 from Seoul to analyze the Seoul citizens' usage of public libraries. For such purposes, this research compared and diagnosed the condition of public libraries services at 25 districts of Seoul, focusing on objective indicators of library management and general usage records to understand the correlations between the two. Objective indicators such as budgets, human labor, the number of books, and total ground area were compared with usage records of different classes of Seoul citizens, organized by the citizens' place of living, educational background, and monthly household income. As a result of the research, the correlation between the objective indicators and public usage records of different classes was confirmed. Seoul citizens' usage of public libraries and reading tendency were identified. In addition to, a balanced development of the public libraries in Seoul was proposed to overcome regional disparities and leveling the service level by investigating usage behavior and reading tendency of the public libraries in Seoul.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.45-54
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• 2022

This study examines the actual operation and performance of the public participation platform by analyzing various public participation processes from 2018 to 2021, when 'Gwanghwamun 1st Street', a representative public participation platform operated by the Ministry of Public Administration and Security, was launched. Through this, the influencing factors that were able to successfully induce the process of policyization through public participation were derived as follows. First, online participation channels were diversified to encourage public participation. Second, it is also important that the public opinion contest and compensation for public review were implemented to encourage and expand public participation. Third, the participation of experts was encouraged to refine and refine the people's ideas. Through these research results, it is judged that the Korean government will be able to contribute to inducing the policyization process through continuous public participation. In deriving success factors for policyization through public participation in the future, how influencing factors such as the public participation process, communication through online channels, and collaboration with experts affect the public participation process using quantitative analysis techniques A study to prove it will have to be conducted subsequently.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.1
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• pp.127-134
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• 2022

Recently, policies and research to prevent increasing construction accidents have been actively conducted in the domestic construction industry. In previous studies, the prediction model developed to prevent construction accidents mainly used only structured data, so various characteristics of construction sites are not sufficiently considered. Therefore, in this study, we developed a machine learning-based construction accident prediction model that enables the characteristics of construction sites to be considered sufficiently by using both structured and text-type unstructured data. In this study, 6,826 cases of construction accident data were collected from the Construction Safety Management Integrated Information (CSI) for machine learning. The Decision forest algorithm and the BERT language model were used to train structured and unstructured data respectively. As a result of analysis using both types of data, it was confirmed that the prediction accuracy was 95.41 %, which is improved by about 20 % compared to the case of using only structured data. Conclusively, the performance of the predictive model was effectively improved by using the unstructured data together, and construction accidents can be expected to be reduced through more accurate prediction.

• 지역과문화
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• v.8 no.3
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• pp.27-48
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• 2021

In recent years, China's tourism performing art in a series of new completion of the project, increase the box office of tourism performing arts industry, higher economic income, at the same time led to the formation of brand of tourism performing arts and has a good reputation, with the regional culture, has a certain role in promoting economic development, including Large scenario experience drama is one of the key projects. Large scenario experience drama is a new form of drama that simulates the space design of real environment and enables the audience to have active experience in visual, auditory, smell, taste, touch and other senses with strong interactivity.Large scenario experience drama are adapted from traditional Chinese culture, regional culture and long-passed stories, and combine high technology such as lighting, sound effects, special effects and 3D effects to make the audience's experience more real.As the first Large scenario experience drama in China, 'You Jian Ping-yao' reflects the profound culture of Shanxi with new forms of expression and creative means, in the form of scene experience and make the audience more intuitive feel the 'Shanxi emotion', 'Shanxi sentiment' and 'Shanxi Morality', carry forward the traditional culture at the same time, also passed the Shanxi ancient and great values, strengthened the drama of China's movie village, impetus the development of the tourism industry in Shanxi, drive the Shanxi region of jingjing, gradually formed a complete industrial chain. However, there are also limitations such as improper plot connection and improper tourist management, which can improve the performance effect through more audience interaction and guidance. Therefore, it can be seen that large-scale situational experience dramas play a great role in promoting the dissemination of traditional culture and values, the development of tourism industry, the formation of regional brand characteristics and economic development. Through these, it can be seen that large-scale situational experience plays have enlightenments such as innovative thinking content, gradually forming an industrial chain closed-loop, and broadening publicity channels for the development of live-action performances.