• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.115-120
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• 2018

This paper describes the design and trial development of a system that supports continuous hazard mapping by local residents in their daily life. We performed an interview survey to design our system in a model traditional town in Saga Prefecture, Japan. The results show that despite continued efforts, many practical problems remain and residents feel unsafe. Considering these results, we designed and developed a unique information and communication technology-based support system that contributes to community-based disaster prevention and reduction. The continuous resident participation and posting design are the core concept for our community-based approach. Our system continues to support making a hazard map by integrating the community-based hazard information. Local residents register information (disaster types, risk level, photographs, comments, positional information) about locations that could be dangerous in a disaster. In addition, our system enables information sharing through a Web server. We expect that this information sharing will allow local hazard information for each district to be used.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.256-265
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• 2021

The purpose of this study is to empirically identify the effect of women's motivation for choosing makeup colors on their perception of physical attractiveness and self-respect. Participants in this study were surveyed through questionnaires for 256 employees in Seoul and Gyeonggi-do, and the collected data were analyzed in depth using statistical analysis methods of frequency analysis, factor analysis, and multiple regression analysis. The results derived through a series of research procedures are as follows: First, the motivation for women in the workplace to choose makeup colors showed a statistically significant influence on physical attraction perception. Second, the motivation for women in the workplace to choose makeup colors showed a statistically significant influence on self-esteem. Third, office workers' perceptions of physical attraction had a statistically significant impact on self-esteem.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.123-135
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• 2018

The objective of this paper is to investigate the issues related to the supply chain management in plant engineering industry, and propose the framework to improve the project efficiency. The preliminary case study shows that EPC's fragmented nature, lack of coordination and information sharing, and lack of proper risk and change management contribute to project delay and cost overrun. To examine the level of informatization and information sharing in supply chain, survey responses from the suppliers and subcontractors have been collected. The statistical results show that information sharing, early involvement in design process and awareness in SCM have influenced the level of collaboration, but supplier assessment and informatization have no impact on the collaboration. A conceptual model is proposed in order to facilitate the integration of design, procurement and construction functions. Implications from the study are also provided.

• Korean Journal of Construction Engineering and Management
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• v.20 no.2
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• pp.95-104
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• 2019

EPC plant projects are large and complex, requiring systematic working methodologies, accumulated data, and thorough planning through communications between the entities. In this study, the method of extracting the process planning information using asset data of the plant project and using it to present the initial process plan is presented through the concept of IAP(Interactive Planning). In order to carry out the effective IAP at the early stage of the project, this study extracted the schedule element information from the asset data, created the process plan for each work package, and applied it to the sample project case. Through the proposed IAP methodology, it is possible to promote the utilization of asset data, to identify schedule risks, and to develop countermeasures, which can form the basis for establishing the process management strategy to successfully complete the project.

• Journal of Environmental Impact Assessment
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• v.28 no.5
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• pp.483-491
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• 2019

In orderto cope with the post-2020 in accordance with the Paris Agreement, greenhouse gas (GHG)reduction in Environmental Impact Assessment (EIA) and its contributions to post-2020 were discussed. The 26 Environmental Impact Statement (EIS) administered by Geum-River Basin Environmental Office from 2010 to 2019 were analyzed for reviewing GHG mitigation measures. From the case study, it was found that the assessment of GHG emissions reduction and climate change adaptation were not appropriately performed. In this study, the following measures are proposed to improve the inappropriate assessment of 'GHG subject matter' associated with EIA according to post-2020, 1) allotment of enforced charge on GHG emission during the EIA process, 2) addition of the 'GHG subject matter' in 'establishing permissible discharge standards' which is based on "Act on the Integrated Control of Pollutant-discharging Facilities", and 3) the participation of stakeholders in early EIA stage for governance. Also the details on the EIA for the preparedness of post-2020 were discussed here.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.69-76
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• 2021

This study was analyzed in a phenomenological way to identify the depth of the experience from the perspective of students who participated in field trips and to understand in-depth the practical knowledge and meaning of the process. The subjects of the study were nine people with experience in field training for beauty college students, and they were in-depth stories from October to December 2020. The collected data were analyzed by Colaizzi method. The results of this study showed four essential topic vowels: "Expectation on Field Practice," "Necessity of Practical Education," "Difficulties Experienced in Field Practice," and "The Endurance of Field Practice." Based on the results of this study, the importance of being designed more systematically to enhance the effectiveness of learning experiences so that the effectiveness of learning experiences can be improved with confidence to cope with field practice.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.205-216
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• 2021

There is a growing interest and need for adaptive reuse and remodeling as a method for sustainable urban regeneration and residential improvement. The purpose of this study was to suggest implications for the remodeling of detached house for adaptive reuse in Korea. To this end, a theoretical review and case analysis was conducted on the remodeling in 'Gupo-Saetulmaul' and 'Haeridan-gil' in Busan City. The implications through the study are as follows. (1) Programs for residents participation and sustainable management of buildings are needed. (2) Coexist between residential and commercial use is needed. (3) A guideline for planning and designing street and building remodeling is needed at the level of the entire detached housing site.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.410-418
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• 2021

In a program that runs an engineering education certification, program outcomes refer to the knowledge, skills, and attitudes a student must have until graduation. In general, capstone design is used as a tool for evaluating program outcomes. This paper applies the intraclass correlation coefficient (ICC) to measure the raters' reliability in assessing program outcomes. Several raters evaluate program outcomes, and the result is used to obtain the raters' ICC. ICC measures the reliability of ratings or measurements for clusters - data that has been collected as groups or sorted into groups. If the ICC is close to 1, it means that the reliability among the raters is high. We evaluated the proposed method's usefulness through case analysis. As a method for assessing an evaluation tool's objectivity, multiple raters measure the same evaluation tool. As a result, we measured the ICC values for all POs, and analyzed the cause for the low measured POs. We applied this method to evaluate program outcomes of the Department of Computer Engineering in the past two years. As a result, we derived guidelines for improvement and program outcomes.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.457-462
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• 2021

YouTube has established itself as a major media platform. Businesses give more attention to YouTube's influence as marketing using the platform demonstrates positive effects. Accordingly, this study aims to look into how the quasi-social interaction of the users of beauty content on YouTube affect purchase behavior intentions and provide results as basic data for establishing an efficient marketing strategy. Quasi-social interaction exerted significantly positive influence on purchase behavior and purchase intention. This suggests that the stronger the quasi-social interaction becomes, purchase behavior and purchase intention get stronger. Therefore, strategies for facilitating marketing should be devised by increasing efficient quasi-social interaction according to user characteristics.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.11
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• pp.529-534
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• 2021

Computing thinking is regarded as one of the important skills required in the 21st century, and many countries have introduced and implemented computing thinking training courses. Among computational thinking education methods, educational game-based methods increase student participation and motivation, and increase access to computational thinking. Autothinking is an educational game developed for the purpose of providing computational thinking education to learners. It is an adaptive system that dynamically provides feedback to learners and automatically adjusts the difficulty according to the learner's computational thinking ability. However, because the game was designed based on rules, it cannot intelligently consider the computational thinking of learners or give feedback. In this study, game data collected through Autothikning is introduced, and game score prediction that reflects computational thinking is performed in order to increase the adaptability of the game by using it. To solve this problem, a comparative study was conducted on linear regression, decision tree, random forest, and support vector machine algorithms, which are most commonly used in regression problems. As a result of the study, the linear regression method showed the best performance in predicting game scores.