• Korean Journal of Artificial Intelligence
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• v.11 no.1
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• pp.25-29
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• 2023

In this paper, the purpose is to create a standard of AI training dataset type for commercial space design. As the market size of the field of space design continues to increase and the time spent increases indoors after COVID-19, interest in space is expanding throughout society. In addition, more and more consumers are getting used to the digital environment. Therefore, If you identify trends and preemptively propose the atmosphere and specifications that customers require quickly and easily, you can increase customer trust and conduct effective sales. As for the data set type, commercial districts were divided into a total of 8 categories, and images that could be processed were derived by refining 4,009,30MB JPG format images collected through web crawling. Then, by performing bounding and labeling operations, we developed a 'Dataset for AI Training' of 3,356 commercial space image data in CSV format with a size of 2.08MB. Through this study, elements of spatial images such as place type, space classification, and furniture can be extracted and used when developing AI algorithms, and it is expected that images requested by clients can be easily and quickly collected through spatial image input information.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2018.06a
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• pp.12-12
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• 2018

• Computational Structural Engineering
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• v.33 no.1
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• pp.20-22
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• 2020

• Journal of Convergence for Information Technology
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• v.10 no.9
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• pp.173-182
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• 2020

In recent years, collaborative learning in university courses has been emphasized in order to improve collective intelligence. Based on literature reviews, individual creativity was used as a variable of personal characteristic, team trust and collective efficacy were used as variables of teams to see the relationship with collective intelligence as a variable of learning outcome. Data were collected from 770 students from A University in Gyeonggi-do, H University in the Daejeon, and K University in Chungcheong-do, and analyzed by using structural equations modeling. As results, individual creativity had significant influence on collective efficacy and collective intelligence. Team trust also had significant influence on collective efficacy and collective intelligence. In addition, collective efficacy had a positive effect on collective intelligence. This study will be able to utilize basic data for establishing instructional design and strategies of collaborative learning in the universities.

• Journal of The Korean Association of Information Education
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• v.24 no.4
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• pp.391-400
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• 2020

While artificial intelligence (AI) is attracting attention as a core technology in the era of the 4th industrial revolution, needs for artificial intelligence education to cultivate AI literacy is emerging. In this regard, we developed and applied a project-based AI education program for elementary and middle school students, and analyzed its effects. Participants were assigned into teams with three members, and each team engaged in a project-based AI education program for two nights and three days. In the project, they selected an real-world problem they wanted and devised an AI-enabled artifact to solve it. The effectiveness of the program was investigated with the changes in attitude and efficacy of learners toward artificial intelligence. The results showed that the AI project learning positively changed both attitudes and efficacy toward artificial intelligence at a statistically significant level. This change was more pronounced as the level of perceived programming skills increased, and the level of interest in the project learning increased.

• The Journal of the Korea Contents Association
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• v.15 no.9
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• pp.307-316
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• 2015

The purpose of this study was to investigate the relationship between emotional intelligence, burnout and nursing productivity, to find the factors for nursing productivity need to the efficient management of nursing organization. 255 nurses were collected a structured questionnaire by convenience sampling with 300 beds, Nov. 12-Dec. 26 in 2013. Data were processed SPSS 17.0, using t-test, one way ANOVA, Scheffe test, Pearson's correlation coefficient, and enter multiple regression analysis. These results showed a significant negative correlation between emotional intelligence and burnout, a significant positive correlation between emotional intelligence. Emotional intelligence, total clinical experence, burnout and position had a significant influence on nursing productivity, Nursing productivity explained 43.4% of the variation. Therefore, it demanded that to build the infrastructure for the nursing organization of carrer management, to improve emotional intelligence, to design diverse intervention program for the nurses, to reduce burnout, and to increase work productivity.

• Journal of Information Science Theory and Practice
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• v.4 no.2
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• pp.34-52
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• 2016

This study was designed to investigate organizational culture and emotional intelligence as predictors of job performance among library personnel in Edo state, Nigeria. The survey research design was employed for the study with a population size of 181 library personnel in the 15 academic libraries under study, and due to the manageable population size, total enumeration was adopted as the sampling technique. The questionnaire was used to elicit data from the respondents. Of the 181 copies of the questionnaire administered, 163 copies were retrieved and found valid for analysis constituting a 90% response rate. Four research questions and four null hypotheses (tested at 0.05 level of significance) were formulated to guide the study. The tool used to analyze the research question was descriptive statistics (percentage, mean, and standard deviation) and inferential statistics (correlation and multiple regression) for testing the hypotheses. The findings of the study revealed that there is a high level of job performance, good organizational culture, and high level of emotional intelligence among the personnel. Organizational culture and emotional intelligence jointly and significantly predict job performance of personnel. There is significant positive correlation between organizational culture and job performance. The linear combination of emotional intelligence and organizational culture predict job performance of library personnel in the academic libraries under study. The research concludes that there is a need for high job performance in libraries which is predicted by the organizational culture of the library and the level of emotional intelligence of the library personnel.

• Journal of Broadcast Engineering
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• v.26 no.5
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• pp.489-499
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• 2021

This paper proposes an arts and culture content creation tool powered by artificial intelligence. With the recent advances in technologies including artificial intelligence, there are active research activities on creating art and culture contents. However, it is still difficult and cumbersome for those who are not familiar with programming and artificial intelligence. In order to deal with the content creation with new technologies, we analyze related creation tools, services and technologies that process with raw visual and audio data, generate new media contents and visualize intermediate results. We then extract key requirements for a future creation tool for creators who are not familiar with programming and artificial intelligence. We finally introduce an intuitive and integrated content creation tool for end-users. We hope that this tool will allow creators to intuitively and creatively generate new media arts and culture contents based on not only understanding given data but also adopting new technologies.

• Journal of Preventive Medicine and Public Health
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• v.54 no.5
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• pp.340-351
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• 2021

Objectives: To develop and investigate the effectiveness of an integrative counseling intervention for enhancing social intelligence and reducing bullying behaviors among lower secondary school students in Bangkok, Thailand. Methods: An interventional mixed-method design was employed in 2 phases. Phase 1 involved the development of a qualitative method-based integrative counseling program from key informants using the eclecticism technique. In phase 2, a randomized controlled trial with a wait-list control was conducted and qualitative research was performed with students who demonstrated bullying behaviors. Demographic data, Social Intelligence Scale (SIS) scores, and Bullying-Behavior Scale (BBS) scores were collected at baseline. Changes in SIS scores and qualitative findings obtained from in-depth interviews were examined after counseling ended, and BBS scores were collected again 1 month later. Results: The developed social intelligence counseling program included eight 1-hour weekly sessions consisting of 3 components: (1) social awareness, (2) social information processing, and (3) social skills. After receiving this intervention, scores for the SIS overall (p<0.001) and all of its components (p<0.05) were significantly enhanced in the experimental group compared to the control group. Moreover, the mean BBS scores in the experimental group significantly decreased 1 month after counseling (p=0.001). With regard to the qualitative research results, the experimental students demonstrated improvements in all components of social intelligence. Conclusions: The results indicated that a preventive counseling program may enhance social intelligence, decrease bullying behaviors among lower secondary school students, and prevent further incidents of school violence. However, further studies in various population subgroups should also be performed.

• Smart Media Journal
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• v.10 no.1
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• pp.99-107
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• 2021

In addition to the 4th Industrial Revolution and Industry 4.0, the recent megatrends in the ICT field are Big-data, IoT, Cloud Computing, and Artificial Intelligence. Therefore, rapid digital transformation according to the convergence of various industrial areas and ICT fields is an ongoing trend that is due to the development of technology of AI services suitable for the era of the 4th industrial revolution and the development of subdivided technologies such as (Business Intelligence), IA (Intelligent Analytics, BI + AI), AIoT (Artificial Intelligence of Things), AIOPS (Artificial Intelligence for IT Operations), and RPA 2.0 (Robotic Process Automation + AI). This study aims to integrate and advance various machine learning services of infrastructure-side GPU, CDA (Connected Data Architecture) framework, and AI based on mass distributed Abyss storage in accordance with these technical situations. Also, we want to utilize AI business revenue model in various industries.