• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.36-42
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• 2021

With recent developments in the Fourth Industrial Revolution, the manufacturing industry has changed rapidly. Through key aspects of Fourth Industrial Revolution super-connections and super-intelligence, machine learning will be able to make fault predictions during the foam-making process. Polyol and isocyanate are components in polyurethane foam. There has been a lot of research that could affect the characteristics of the products, depending on the specific mixture ratio and temperature. Based on these characteristics, this study collects data from each factor during the foam-making process and applies them to machine learning in order to predict faults. The algorithms used in machine learning are the decision tree, kNN, and an ensemble algorithm, and these algorithms learn from 5,147 cases. Based on 1,000 pieces of data for validation, the learning results show up to 98.5% accuracy using the ensemble algorithm. Therefore, the results confirm the faults of currently produced parts by collecting real-time data from each factor during the foam-making process. Furthermore, control of each of the factors may improve the fault rate.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.108-117
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• 2021

The educational approach using Capstone Design is gradually expanding with the change in social and educational paradigms. Course development utilizing the Capstone Design in models in the department of fashion can create a positive effect in that it enhances the practical capabilities of the fashion model and expands the perspective of various fields related to fashion shows. This study proved the educational efficacy by applying the Capstone Design to the model work presentation course and investigating the implications of the design from the instructor's perspective. The research methods used to guide this course utilizing the Capstone Design were theatrical research and model development research. This study showed that learners' satisfaction for this course combined with Capstone Design was very high, and students were very satisfied with the progress of the class. The instructor's point of view in progressing this course showed the need for education from an in-depth and convergence perspective related to fashion, improvement of temporal and spatial utilization of space, concerns about establishing connections with experts and various industries, and expanding the scope of education through continuous exchanges and cooperation with industry.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.537-542
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• 2021

This paper improves the possibility of recognizing fast-moving objects through the YOLO (You Only Look Once) deep learning recognition model in an application environment for object recognition in images. The purpose was to study the method of collecting semantic data through processing. In the recognition model, the moving object recognition error was identified as unrecognized because of the difference between the frame rate of the camera and the moving speed of the object and a misrecognition due to the existence of a similar object in an environment adjacent to the object. To minimize the recognition errors by compensating for errors, such as unrecognized and misrecognized objects through the proposed data collection method, and applying vision processing technology for the causes of errors that may occur in images acquired for sports (tennis games) that can represent real similar environments. The effectiveness of effective secondary data collection was improved by research on methods and processing structures. Therefore, by applying the data collection method proposed in this study, ordinary people can collect and manage data to improve their health and athletic performance in the sports and health industry through the simple shooting of a smart-phone camera.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.67-74
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• 2021

Domestically, technical condition evaluation for breakwaters has been conducted through safety checks and safety diagnosis. If necessary, maintenance for the facility is conducted. However, in recent years, the need for infrastructure management has been increasing from a life-cycle-cost perspective. For these reasons, the "Sustainable Infrastructure Management Basic Act" was enacted. Previously, only the technical part of the breakwaters was evaluated. However, based on the act, comprehensive management of breakwaters will be possible through performance improvement by adding economic and political evaluations. In this study, evaluation factors and evaluation methods were developed for a breakwater rehabilitation project. The purpose of this study is to present a development direction, items, and methods for the evaluation of breakwater performance improvement to be applied in future practice. This study reviews the concept of maintenance and performance improvement, the literature related to performance improvement, and the project type for the common standard of performance improvement. Evaluation items and evaluation methods for breakwater rehabilitation are suggested to be reviewed by experts. The methodology suggested in this study could be used for preventive maintenance and to reduce accidents.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.519-531
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• 2024

The purpose of this study is to analyze the aspects and characteristics of educational innovation planned and implemented at the university site targeting universities in Busan, Ulsan, and Gyeongnam, and to explore their limitations and tasks. For this purpose, we analyzed the contents of innovation strategy programs among the plans of 17 universities in the national innovation support projects in Busan, Ulsan, and Gyeongnam area. First, the university innovation strategy was divided into input, process, infrastructure, and other factors, and among them, the process factor was divided into education, research, and industry-university cooperation to examine the aspects and characteristics of innovation. As a result of the study, the aspects of university innovation at universities in Busan, Ulsan, and Gyeongnam were analyzed in the areas of education, research, and industry-academia cooperation. Characteristics of innovation were emphasis on convergence education, competency development, smart system foundation, introduction of innovative teaching and learning techniques, consumer-centeredness, and regional linkage. The limitations and tasks of university innovation revealed through the research are as follows. First, a specialized university innovation business structure should be prepared in consideration of the context of local universities. Second, established strategies with high innovativeness must be implemented and sustained, and consensus among members is required for this. Third, the innovation of universities should not mean the centralization of academics, and the role and efforts of universities as a research institutions should be improved. Fourth, it should not be overlooked that more important than the visible innovation strategy of university innovation is the education innovation that occurs directly to students as a result of the education effect.

• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.243-250
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• 2020

In this paper, we propose an effective software education scheme for universities. The key idea of this software education scheme is to analyze software curriculum of QS world university rankings Top 10, SW-oriented university, and regional main national university. And based on the results, we propose five improvements for the effective SW education method of universities. The first is to enhance the adaptability of the industry by developing courses based on the SW developer's job analysis in the curriculum development process. Second, it is necessary to strengthen the curriculum of the 4th industrial revolution core technologies(cloud computing, big data, virtual/augmented reality, Internet of things, etc.) and integrate them with various fields such as medical, bio, sensor, human, and cognitive science. Third, programming language education should be included in software convergence course after basic syntax education to implement projects in various fields. In addition, the curriculum for developing system programming developers and back-end developers should be strengthened rather than application program developers. Fourth, it offers opportunities to participate in industrial projects by reinforcing courses such as capstone design and comprehensive design, which enables product-based self-directed learning. Fifth, it is necessary to develop university-specific curriculum based on local industry by reinforcing internship or industry-academic program that can acquire skills in local industry field.

• Korean Security Journal
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• no.50
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• pp.145-172
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• 2017

In 2015 the Department of Education announced that it will make downsizing efforts by recommending classified downsizing ratio according to the evaluation of universities for active support toward autonomous efforts of universities with the possibilities of reform and qualitative structural reform for customized human resource cultivation according to the social demands. This is the preemtive structural reform preparing against the rapid decrease of the number of students, and the preparation for changing into competitive universities so that customized human resource that is needed in the society can be trained. Security Science Departments of Korea, first established in 1996, need changes in curriculum in order to prepare for the fourth revolution of the future, and are stagnant on the education goal and employment course. Therefore the adoption of related certificates, curriculum, NCS, and professional curriculum is needed. For example, Hansei University, Chung-Ang University, and Far East University have established the Department of Industrial Security, and Kyonggi University and Sungshin Women's University have established the Department of Convergence Security. Also, Konkuk University has established the Graduate School of Security and Disasters, the Graduate School of Information and Policy, the Graduate School of Criminal Justice, Gachon University the Graduate School of National Security, Sungkyunkwan University the Graduate School of Strategic Studies. This shows that the field of Security Science should not settle for itself. This article analyzes current curriculum and subjects of security, police, industrial security, military related academic departments of key universities. It is necessary to prepare for the future by predicting the change from the merge of academic departments and the demands of the times. As technical colleges are adopting NCS, this is the time to seek for systematic collaboration between universities and technical colleges and between industry, government, and academida.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.401-409
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• 2021

This study was conducted to investigate the effects of static recovery and dynamic recovery methods on heart rate, blood lactic acid concentration, and blood glucose during recovery after walking at the speed of 80bpm and 130+30bpm upon trekking of forest slopes in Taejo Mountain in Cheonan. 9 men in their 20s and 30s who had no abnormality in walking was subject to this experience. The result of through static recovery and dynamic recovery methods while trekking at the speed of 80bpm and 130+30bpm were analyzed by two-way repeated ANOVA. When there was a significant difference, the repeated method of contrast was applied to compare and analyze. The heart rate at 80bpm condition was significantly different depending on the method(p=.008) and time(p=.000) and there was no significant difference in blood lactic acid concentration for the recovery method(p=.401), but there was a significant difference depending on the time(p=.000). Blood glucose did not show significant difference according to the recovery method(p=.093), and there was significant difference depending on the time of static recovery method(p=.002). The heart rate in 130bpm + 30bpm condition was significantly different depending on to the method(p=.002) and time(p=.000), blood lactic acid concentration was significantly different depending on the method(p=.001) and time(p=.000), and blood glucose concentration was not significantly different between the time(p=090) and the method(p=.721).

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.227-235
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• 2018

The aim of this study is to predict the sensitivity of motion sickness (MS) using pattern of cardinal gaze position (CGP) before experiencing the virtual reality (VR) content. Twenty volunteers of both genders (8 females, mean age $28.42{\pm}3.17$) participated in this experiment. They was required to measure the pattern of CGP for 5 minute, and then watched VR content for 15 minute. After watching VR content, subjective experience for MS reported from participants using by 'Simulator Sickness Questionnaire (SSQ)'. Statistical significance between CGP and SSQ score were confirmed using Pearson correlation analysis and independent t-test, and prediction model was extracted from multiple regression model. PCPA & PCPR indicators from CGP revealed significantly difference and strong or moderate positive correlation with SSQ score. Extracted prediction model was tested using correlation coefficient and mean error, SSQ score between subjective rating and prediction model showed strong positive correlation and low difference.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.221-233
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• 2021

The purpose of this study is to analyze the effects of determinants of innovation performance on innovation performance in industry-research institute(IR) cooperation for researchers of government-funded research institutes in Daedeok Innopolis. We reviewed the existing literature on the determinants of innovation performance through cooperation, and established a conceptual framework to analyze the combinatorial effect of the determinants of innovation performance on innovation performance in IR cooperation. Data for empirical analysis were collected through a questionnaire survey targeting researchers at a government-funded research institute in Daedeok Innopolis. The fuzzy-set qualitative comparative analysis (fsQCA) was used to analyze the combined effect of determinants of innovation performance. The fsQCA results show that the configuration of high motivation, high trust, high commitment and high satisfaction of researchers of government-funded research institutes improve innovation performance. On the other hand, it shows that the configuration of high motivation, high trust, low commitment and low satisfaction of the researcher improves innovation performance.