• The Research Journal of the Costume Culture
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• v.21 no.2
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• pp.301-308
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• 2013

The purpose of this research is to classify fashion consumers based on their attitudes, goals and values of life. It is to understand what drives human behaviors as well as to learn the various directions people live in society using Bangkok people as the samples. Online and on-site questionnaire survey is employed. Questions are designed to focus on 7 aspects of life, ranging from private life, professional life, social life, politics, culture and information interaction, household business and finance, and consumption of products and services in the main market. The research results can be used to classify consumers' lifestyles into 20 major and numerous minor groups of lifestyle. Lifestyles of male and female samples are compared to investigate their different patterns and directions. Fashion trend diagram is used to analyze the overlapped lifestyles of mass consumers. The lifestyle segmentations would benefit to designer and fashion branding team in understanding their target group deeper inside the background of their behaviors.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.361-368
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• 2004

The purpose of the study was to explore the potential of the Social Network Analysis as an analytical tool for scientific investigation of learner-learner, or learner-tutor interaction within an Computer Supported Corporative Learning (CSCL) environment. Theoretical and methodological implication of the Social Network Analysis had been discussed. Following theoretical analysis, an exploratory empirical study was conducted to test statistical correlation between traditional performance measures such as achievement and team contribution index, and the centrality measure, one of the many quantitative measures the Social Network Analysis provides. Results indicate the centrality measure was correlated with the higher order learning performance and the peer-evaluated contribution indices. An interpretation of the results and their implication to instructional design theory and practices were provided along with some suggestions for future research.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.10a
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• pp.224-226
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• 2015

Outwardly, the people in the shipping industry are aware that multicultural working environments and conditions could have a strong influence on the operation of ships. With a lack of cultural awareness and foreign language skill of crew members on ships, there are lots of misunderstandings and miscommunications among (cross-cultural) crews. More and more maritime accidents are caused by human error in the world's oceans. Nevertheless the research on cultural diversity and human interaction on ships is still in its infancy. Due to the rapid change of the demographic make-up of crews, not only teaching and training technical skills for the crews, but also education in nontechnical skills such as cultural awareness, cultural sensitivity, intercultural competence is urgently needed. This study will deal with intercultural issues on ships. It aims to emphasize the necessity of intercultural training in MET.

• Elastomers and Composites
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• v.50 no.3
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• pp.159-166
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• 2015

Silica which is used for reinforcing filler in tire industry is widely known as eco-friendly material exerting $CO_2$ reduction effect through decrease of rolling resistance and improvement of wet grip. Generally silica is classified as a highly polar filler because it contains a large number of silanol (Si-OH) group on its surface. And also silica gives a lower reinforcing effect than carbon black due to its poorer rubber-filler interaction. Therefore silica is treated with silane coupling agent or activator, then following the conventional rubber blend method, vulcanized sheets were prepared using a hot press, and cure characteristics, mechanical properties and abrasion resistance of the test specimens were investigated. It was found that with an increase in the silane coupling agent content the tensile strength, 300% modulus and abrasion resistance increased while Mooney viscosity decreased and crosslink density slightly increased with an increase of activator.

• Journal of Welding and Joining
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• v.23 no.5
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• pp.30-36
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• 2005

In this part, thermal finite element analysis(FEA) is conducted for the experiments in part 1. The molten area of base metals are analyzed by FEA results and compared with experimental ones. Temperature data from FEA results are used to calculate the IMC layer thickness analytically at the interface. IMC layer is established as a function of time and temperature when there is an interaction between solid steel and molten aluminum. The IMC layer thickness is obtained by cumulative computations using the time-temperature data from FEA results.

• Journal of Information Management
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• v.33 no.2
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• pp.49-66
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• 2002

In this paper, the recent trends of user-centered information communication are reviewed, especially focused on Computer-Mediated Communication(CMC) based on internet, Human Factors Engineering, and Human-Computer Interaction(HCI). The result is that human-centered information communication process has influence on the extension of user interface.

• Geomechanics and Engineering
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• v.29 no.3
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• pp.269-279
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• 2022

In this research, a series of dynamic numerical analysis were carried out for deep underground building structures under the various earthquake conditions. Dynamic numerical analysis model was developed based on the PLAXIS2D and calibrated with centrifuge test data from Kim et al. (2016). The hardening soil model with small strain stiffness (HSSMALL) was adopted for soil constitutive model, and interface elements was employed at the interface between plate and soil elements to simulate dynamic interaction effect. In addition, parametric study was performed for fixed condition and embedded depth. Finally, the dynamic behavior of underground building structure was thoroughly analyzed and evaluated.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.211-221
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• 2023

After COVID-19, various metaverse platforms for online lectures are being provided. Most of the classrooms are tiered type, and they are divided into intensive classrooms and open classrooms depending on the shape of the classrooms. Intensive classrooms provide a one-sided lecture format, so there are many difficulties in conducting communication-based classes that carry out team missions like PBL classes. In this study, we propose a metaverse classroom that applies the functions of a multiplayer online role-playing game (MMORPG), one of the game genres suitable for PBL classes. The proposed system provides various interaction techniques for PBL classes. We evaluated user satisfaction when this was applied to actual classes. As a result of the evaluation, it was found that users preferred text and voice chatting more than video chatting and solving missions like games was very helpful in online classes.

• The Journal of Economics, Marketing and Management
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• v.12 no.4
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• pp.37-49
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• 2024

Purpose: This research is motivated by the rise of live-streaming commerce in service industries, aiming to explore factors affecting service product purchases in live-streaming commerce. Extracted independent factors include information provision, vicarious experience, social interaction, visibility, and emotional transmission. Additionally, this study aims to discern the moderating effect of brand reputation in the relationships between independent factors and customer intention to purchase service products in live-streaming commerce. Research design, data and methodology: This study employed a questionnaire survey to collect data and analyzed collected data with statistical analysis methods, including exploratory factor analysis and multiple regression analysis. Results: The analysis results say three factors significantly influenced purchase intentions in live-streaming commerce: information provision, emotional transmission, and price discount. Brand reputation also significantly affects customers' intention to buy service products in live-stream commerce.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.35 no.1
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• pp.15-21
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• 2024

Autism spectrum disorder (ASD) is diagnosed by the clinical decision of a trained professional based on the Diagnostic and Statistical Manual for Mental Disorders, Fifth Edition or International Classification of Diseases 11th Revision diagnostic criteria. To obtain information for diagnostic formulation, professionals should explore detailed developmental history, and can use structured or semi-structured assessment tools to observe interaction between the child and parents or strangers. Diagnostic assessment should include a profile of the strength and weaknesses of the individual and should be conducted using an optimal approach by a multidisciplinary team with appropriate techniques and experience. Assessment of language, cognitive, neuropsychological, and adaptive functioning should be conducted in ASD individuals prior to establishing an individualized treatment plan. Genetic testing, brain magnetic resonance imaging or electroencephalogram testing can be considered for identification of underlying causes.