• Journal of the Korean Society of Safety
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• v.26 no.3
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• pp.47-51
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• 2011

Work platform is temporary material that many workers use in construction field, but many workers construct and use the work platform without considering safety standards, workers who have not the knowledge of safety standards construct the work platform in weakness and use the work platform in unstable, According to the statistics in 2009, 1230 people were injured at the work platform. Among them, victims by falling account for about 77% and mostly lead to fatal injuries. we have studied and survey about the safety or danger of the work platform(set limits to duble scaffold) in construction field and about how many workers observe safety standards of the work platform. According to the result of this survey, 24%~100%(average : 68%) of the work platform in survey is not observe the safety standards.

• Journal of Distribution Science
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• v.19 no.11
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• pp.81-90
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• 2021

Purpose: The purpose of this research is that Metaverse platforms' UXBDI can be distinguished among Metaverse platform channel types. Metaverse platform represents a collective term signifying services that include augmented reality, lifelogging, mirror worlds, and virtual worlds. User Experience-Based Design Innovativeness (UXBDI) is characterized by novelty in product design and services that satisfy user experience. This study examined the effect of Metaverse platforms' UXBDI on user-Metaverse platform relationships. Research design, data and methodology: Metaverse platform users were selected as samples, and a marketing research institution known as a panel company conducted the survey. It used multiple regression to test the impact on platform identification and commitment based on a survey of 442 South Korean respondents. Results: The research confirmed that UXBDI sub-dimensional scales of attractiveness and interaction increased user-Metaverse platform identification and commitment. Also, a Metaverse platform identity increased user-Metaverse platform identification in virtual and mirror worlds. Conclusion: This study contributes to multiple academic fields. First, the UXBDI of Metaverse platforms appears to be a key component of ongoing user-Metaverse relationships. Second, UXBDI affects relationships differently based on the Metaverse platform type.

• Journal of The Korea Institute of Healthcare Architecture
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• v.10 no.2
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• pp.51-58
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• 2004

In this paper, the problem of subway platform is analyzed and the alternative as a screen door is suggested. This paper aims to improve the facility law in subway platform. Because facility law related to platform is absent, the study scope is limited to detail design that is matched to rules. Field survey is performed to 300 persons that are 150 men and 150 women in Shingil station in which the screen door is established. Also the persons are used the screen door at least 3 times. It makes the field survey credible. The study is proceeded as follows ; First, the law related to platform, the problem of platform, and the plan and status of screen door are analyzed. Second, the definition, and composition of screen door are examined. Then, kinds of screen door is analyzed and the advantage and disadvantage of each kind of screen door are compared. Third, the necessity of establishing the screen door is examined through field survey and error range of stop position is investigated. Through this flow, final results is abstracted. Direction of facility related to subway platform, applied objective and range are suggested based on this study. This study focuses the stability of platform, pleasantness, and energy saving and suggests facility improvement direction through introducing the screen door and further study.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.2
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• pp.369-383
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• 2020

This study proposes a method to effectively teaching technic for pattern development and virtual garment manufacturing by adopting the K-MOOC platform for the Apparel Pattern CAD curriculum. According to K-MOOC guidelines, Apparel Pattern CAD curriculum were developed and presented through the K-MOOC platform. A questionnaire survey was utilized to evaluate K-MOOC platform features in terms of learner satisfaction when adopting the 5-point Likert scale. Questionnaire survey participants included 52 college students. The result of the survey found that most of the attributes of the K-MOOC platform were highly rated in terms of interaction and learning effectiveness. The user interface of the K-MOOC platform were shown to be satisfactory in terms of usability. Participants gave a positive assessment of the benefits of online lectures when comparing online and offline lectures. In particular, the preference for online lectures in computer-related courses such as CAD was higher than the offline. It was concluded that the Apparel Pattern CAD curriculum based on the K-MOOC platform was effective and satisfactory for learners in various aspects.

• Journal of the Korea Safety Management & Science
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• v.16 no.4
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• pp.53-62
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• 2014

According to the statistics of occupational injuries in 2013, the work platforms were main objects causing fall injuries in construction sites. But many scaffold and platform workers use and install the work platforms and the fixed and mobile scaffolding without considering about safety and health standards. We had done a nationwide survey about how the platform workers obey safety and health standards. As the result of this survey, in order to ensure the safety of the work platforms, we founded that the platform workers must obey the safety and health standards when using and installing the work platforms. To improve the safety and health conscious of the workers, it needs to educate a worker on safety and health standards for work platforms. Also, to effectively prevent constructin injuries for the work platforms, it is rextricted for workers to use only safety certified work platforms. And, before installing and using work platforms, it needs to make a work plan for work platforms and obey it.

• Journal of Information Science Theory and Practice
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• v.8 no.2
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• pp.68-78
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• 2020

This study is a preliminary study to develop an evaluation framework necessary for evaluating the DataON platform. The first objective is to examine expert perceptions of the level of DataON platform construction. The second objective is to evaluate the importance, stability, and usability of DataON platform features over OpenAIRE features. The third objective is to derive weights from the evaluation perspective for future DataON platform evaluation. The fourth objective is to examine the preferences of experts in each evaluation perspective and to derive unbiased evaluation criteria. This study used a survey method for potential stakeholders of the DataON platform. The survey included 12 professionals with at least 10 years of experience in the field. The 57 overall functions and services were measured at 3.1 out of 5 for importance. Stability was -0.07 point and usability was measured as -0.05 point. The 42 features and services scored 3.04 points in importance. Stability was -0.58 points and usability was -0.51 points. In particular, the stability and usability scores of the 42 functions and services provided as of 2018 were higher than the total functions were, which is attributed to the stable and user-friendly improvement after development. In terms of the weight of the evaluation point, the collection quality has the highest weight of 27%. Interface usability is then weighted 22%. Subsequently, service quality is weighted 19%, and finally system performance efficiency and user feedback solicitation are equally weighted 16%.

• Korea Science and Art Forum
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• v.30
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• pp.33-40
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• 2017

The study has been initiated on the background of rapidly changing environment, and from the perspectives that new ecological systems are continuously generated accordingly in various fields. Recently, ICT platform, which is the platform related to information communication, has drawn much attention, and many tools are being made that can design and implement documents in a specific on-line space by utilizing UI/UX authoring tools for on-line contents sharing platforms which are public platforms for industrial and educational uses. Following these trends, actual building environment for 'XElF', a newly developed on-line contents sharing platform, and actual design proposal for UI/UX authoring tools will be described according to the sequences of building the platform. Before this design proposal is actually utilized in the future, opinions have been collected from related persons through an actual survey. Efforts are being made to reduce problems, which can be generated in the future in the actual on-line contents education environment, through the results of the study so that the platform can be produced without errors. The final results for this matter are planned to be posted by papers in the future.

• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.84-96
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• 2023

Purpose: In this study, to protect delivery platform workers from danger, we intend to propose a plan to improve safety management. Method: To protect delivery platform workers, safety-related legal systems and cases were found and analyzed, and statistical results derived from a survey of delivery platform workers were analyzed, and safety management improvement measures were presented. Result: In Korea, safety measures against weather deterioration were not clearly presented in the contents of the law for the safety of delivery platforms, and the survey confirmed that safety education was not fully conducted, and most of them experienced accidents by receiving calls through apps or programs during delivery. Conclusion: This study could suggest safety management improvement plans for delivery platform workers, but since detailed questionnaire items related to motorcycles were not investigated, various accident results that could occur due to motorcycles used by delivery platform workers could not be identified.

• Safety and Health at Work
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• v.15 no.1
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• pp.17-23
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• 2024

Background: The present study aimed to analyze several aspects of the working conditions and health status of platform workers in the Republic of Korea, such as ergonomic and emotional hazards. We also compared the health status of the platform workers with that of the general population. Methods: A total of 1,000 platform workers participated in this survey from August 7 to August 17, 2022. The participants included 400 designated drivers, 400 food-delivery drivers, and 200 housekeeping managers. A face-to-face survey with a structured questionnaire was conducted by researchers who had received specific instructions. The focus of the survey extended to the work environment, encompassing factors such as workplace violence, as well as physical, chemical, and ergonomic hazards. Health-related data for the previous year were also collected, covering a range of issues such as hearing problems, skin problems, musculoskeletal symptoms, headaches, injuries, mental health issues, and digestive problems. Subsequently, we compared the health symptom data of the responders with those of the general population in the Republic of Korea. Results: Platform workers, including designated drivers, food-delivery drivers, and housekeeping managers, existed in the blind spot of social insurance, facing frequent exposure to physical and chemical hazards, ergonomic risk factors, and direct or indirect violence. The prevalence of health problems, including musculoskeletal symptoms, general fatigue, and depressive symptoms, in each occupational group was statistically higher than that in the general population after standardization for age and gender. Conclusion: The results revealed unfavorable working environment and inferior occupational health of platform workers compared with those of the general population.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.202-207
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• 2023

In this paper, we discuss the design and implementation of a recommendation platform actually built in the field. We survey deep learning-based recommendation models that are effective in reflecting individual user characteristics. The recently proposed RNN-based sequential recommendation models reflect individual user characteristics well. The recommendation platform we proposed has an architecture that can collect, store, and process big data from a company's commercial services. Our recommendation platform provides service providers with intuitive tools to evaluate and apply timely optimized recommendation models. In the model evaluation we performed, RNN-based sequential recommendation models showed high scores.