• Journal of the Korea institute for structural maintenance and inspection
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• v.24 no.6
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• pp.119-128
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• 2020

An ultrasonic multiple scattering simulation using cross-section of fine dust particles were proposed. These days, along with awareness of air pollution, social interest in fine dust is increasing. In the construction field, awareness of fine dust is increasing, and research on preparing various countermeasures is underway. The light scattering method fine dust meter currently in use is affected by environmental factors such as relative humidity, and reliability problems in terms of accuracy are continuously reported. However, the transmission of ultrasonic waves can directly reflect the physical change of the medium based on the mechanical wave. Using these advantages of ultrasonic waves, fine dust measurement simulation was performed using the scattering cross section and ultrasonic multiple scattering theory. The shape data of the fine dust particles were collected using a SEM (Scanning Electron Microscope), and a cross-section according to the fine dust particles was derived through numerical analysis. As a result of signal processing, the error for the number density corresponding to each cross-section is minimum 19, maximum 3455.

• Journal of The Korean Society of Agricultural Engineers
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• v.63 no.2
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• pp.19-31
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• 2021

The Ministry of Maritime Affairs and Fisheries has been promoting the 'Fishing Village Specialization Capacity Enhancement Project' to pursue sustainable development of villages such as income generation by using local tangible and intangible resources led by local residents at the village level since 2013. For the fishing village-Specialization capacity enhancement project, six training sessions (mainly in the village unit) are selected by the public offering method, and the project (income generating business, village development project, etc.) is developed for the selected village residents. It has a process of establishing a village project plan (a preliminary plan for village development or a sixth preliminary industrialization plan) based on the training of experts 5 times, practice or excursion 1 time). In this study, four villages in Gangwon-do fishing villages (two coastal villages and two inland water villages) were surveyed on the perception and satisfaction of fishing village development projects before and after training. The survey analysis was conducted by dividing the analysis of resident capacity and satisfaction into personal, interpersonal, and social dimensions. The survey was conducted by distributing a survey before and after training, and a 1:1 survey was conducted according to the residents' cognitive status. Based on the survey, factor analysis, reliability analysis, and analysis using the corresponding sample t-test showed an increase of 0.02 for Yangyang Mulchi fishing village, 0.11 for Samcheok Jangho fishing village, and 0.36 for Hongcheon River fishing industry, but Yanggu Jinmok fishing industry was -0.29, unlike other regions. As a result of this analysis, it has been empirically proven that provision of training projects through resident participation is a very important factor for the success of the fishing village project. Therefore, rather than fostering local leaders, training and community activities to strengthen personal capacities of residents participating in the project, it is necessary to operate the software business with a focus.

• Journal of the Korean earth science society
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• v.41 no.6
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• pp.670-683
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• 2020

The purpose of this study was to develop a test tool for convergence problem solving skill. To this end, constructs of convergence problem solving skill were defined in three domains: convergence attributes, convergence thinking, and convergence literacy domains. Thirty-seven pilot items were developed on the basis of the sub-categories for each domain that was defined through intensive literature review; problem solving & convergent thinking and creative thinking for convergence thinking domain, individual and social propensity for the convergence attributes domain, and convergence literacy as convergence literacy domain. Through an exploratory factor analysis, 30 items in the constructs of the test tool were confirmed. A confirmatory factor analysis result showed that the five construct models well captured the covariance between all the items well. Finally a statistical result shows that the reliability of the items and constructs were well established (Cronbach's α value= .963). Thus, the test tool for convergence problem solving skill developed in this study was statistically reliable.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.195-205
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• 2021

The purpose of this study is to validate the Confusion, Hubbub, and Order Scale (CHAOS), developed by Matheny et al. (1995), in South Korea. Data of 189 parents with children under the age of 5 acquired by online survey were used for the analysis. Descriptive statistics, item-total correlation, internal consistency, confirmatory factor analysis, convergent validity were examined. As a result, 13 items were confirmed and the reliability was .881. By validating K-CHAOS, it became possible to consider the effect of physical environment, that are known to affect psychological and social development of individuals, as one of micro-systems in future studies.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.225-238
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• 2022

Although the importance of literacy in Artificial Intelligence (AI) education is increasing, there is a lack of testing tools for measuring such competency. To address this gap, this study developed a testing tool that measures AI literacy among middle school students. This goal was achieved through the establishment of an expert group that was enlisted to determine the relevant factors and items covered by the proposed tool. To verify the reliability and validity of the developed tool, a field review, exploratory factor analysis, and confirmatory factor analysis were conducted. These procedures resulted in a testing tool comprising six domains that encompass 30 items. The domains are the social impact of AI (eight items), the understanding of AI (six items), AI execution plans (five items), problem solving with AI (five items), data literacy (four items), and AI ethics (two questions). The items are to be rated using a five-point Likert scale. The internal consistency of the tool was .970 (total), while that of the domains ranged from .861 to .939. This study can serve as reference for developing the analysis of AI literacy, teaching and learning, and evaluation in AI education.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.555-564
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• 2021

This study aims to examine the relationship between the expertise of track and field coaches, the team atmosphere, and athletic satisfaction in elite sports. To achieve this research purpose, data were collected using questionnaires from 221 student athletes from junior high to university students registered with the Korea Association of Athletics Federation in 2021 and collected using Google online questionnaires in consideration of the pandemic situation. For data processing, frequency analysis, exploratory factor analysis, reliability analysis, correlation analysis, and multiple regression analysis were performed using the statistical program SPSS 22.0, and the following conclusions were drawn. First, it was found that the expertise of the athletics coaches had a positive (+) effect on the team atmosphere. Second, among the sub-factors of athletics coach expertise, only athlete management was found to have a negative (-) effect on daily life satisfaction, a sub-factor of athletic satisfaction. Third, it was found that among the sub-factors of the team atmosphere, only role characteristics and leader characteristics had a positive (+) effect on social approval satisfaction, a sub-factor of athletic satisfaction.

• Journal of the Korea Institute of Building Construction
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• v.22 no.3
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• pp.293-303
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• 2022

In construction work, it can be difficult to know the exact number of full-time workers, so the accident rate is calculated using the approximate number of full-time workers. In addition, as the accident rate calculation is performed based on the assumption that the number of accidents is proportional to the approximate number of workers, the reliability of the calculation result may be questionable. This study proposed a new indicator for accident level based on the progress payment and the number of injuries. The accident-progress ratio, which can be calculated by simply dividing the number of injuries by progress payment, can replace the existing accident rate index or be used as an auxiliary indicator of the accident level. The correlation coefficient between the number of injuries and the progress payment was higher than that between the number of injuries and the number of construction workers. In addition, over the past 10 years, the accident rate has been increasing, whereas the accident-progress ratio has showed a decreasing tendency. This might leave room for different interpretations of the annual variation in the accident level in the construction industry.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.4
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• pp.93-104
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• 2022

Recently, NFT, which is growing at a rapid pace, is gradually entering our lives. NFT is an acronym for Non-Fungible Token, a technology that allows you to claim ownership of digital data. As ownership of digital data takes over, it is showing characteristics as an investment value along with the characteristics of new technology, and it is expected to develop further in the future. In this study, we tried to analyze the intentions of users who own NFTs to purchase. Factors that can influence purchase intentions were selected and a research model was established using personal characteristics, NFT characteristics, and social characteristics. As a result of conducting an empirical study, it was found that individual innovativeness, profitability and reliability of NFT, and FOMO factors significantly influence purchase intention.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.5
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• pp.147-157
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• 2022

The purpose of this study is to establish policy recommendations for the promotion of AI service impact assessment based on the definition of impact assessment and analysis of domestic and foreign AI service impact assessment cases. The direction of implementation was analyzed based on the case of impact evaluation promoted in various fields at home and abroad and the case of impact evaluation at home and abroad of artificial intelligence services. As a step-by-step implementation plan, in the first stage, quantitative indicators such as AI level survey-based economic effects are developed, and in the second stage, information culture such as safety and reliability and artificial intelligence ethics described in the Framework Act on Intelligence Information, social, economic, information protection, and people's daily lives are prepared. In the third stage, discussion on detailed metrics and methods will be expanded and impact assessment results will be evaluated. This study requires analysis through various participants such as policy designers, artificial intelligence service developers, and civic groups in the future.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.33 no.1
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• pp.16-23
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• 2022

Objectives: Early detection of developmental issues in infants and necessary intervention are important. To identify the comorbid conditions, a comprehensive evaluation is required. The study's objectives were to 1) generate scale items by identifying and eliciting concepts relevant to young children (12-71 months) with developmental delays, 2) develop a comprehensive screening tool for developmental delay and comorbid conditions, and 3) assess the tool's validity and cut-off. Methods: Multidisciplinary experts devised the "Infant Comprehensive Evaluation for Neurodevelopmental Delay (ICEND)," an assessment method that comes in two versions depending on the age of the child: 12-36 months and 37-71 months, through monthly seminars and focused group interviews. The ICEND is composed of three parts: risk factors, resilience factors, and clinical scales. In parts 1 and 2, there were 41 caretakers responded to the questionnaires. Part 3 involved clinicians evaluating ten subscales using 98 and 114 questionnaires for younger and older versions, respectively. The Child Behavior Checklist, Strengths and Difficulties Questionnaire, Infant-Toddler Social Emotional Assessment, and Korean Developmental Screening Test for Infants and Children were employed to analyze concurrent validity with the ICEND. The analyses were performed on both typical and high-risk infants to identify concurrent validity, reliability, and cut-off scores. Results: A total of 296 people participated in the study, with 57 of them being high-risk (19.2%). The Cronbach's alpha was positive (0.533-0.928). In the majority of domains, the ICEND demonstrated a fair discriminatory ability, with a sensitivity of 0.5-0.7 and specificity 0.7-0.9. Conclusion: The ICEND is reliable and valid, indicating its potential as an auxiliary tool for assessing neurodevelopmental delay and comorbid conditions in children aged 12-36 months and 37-71 months.