The purpose of this study is to collect official records of the 2019 Men's and Women's Handball World Championships to identify important shooting variables that determine the team's record of winning or losing. After collecting 192 games of men's and women's national teams from 24 countries and verifying the difference in competition records according to the winning and losing groups, the decision tree method, one of the data mining techniques, is analyzed. According to the analysis, the 9m shooting success rate and Near shooting success rate were the most important factors for both men and women. Men win 83.3% if the 9m shooting success rate is 32.5% or higher and the Near shooting success rate is 67.5%, and women win 75% if the 9m shooting success rate is 75% or more and the Near shooting success rate is 51%. Also, the women's yellow cards are considered important variables that determine victory or defeat. In conclusion, both men and women were able to identify the factors of winning and losing decision shooting, but follow-up studies are needed considering the relativity of various record variables and performance in future handball.
Kim, Il Jung;Kim, Woo Soon;Kim, Joon Young;Chae, Hee Su;Woo, Ji Yeong;Do, Kyung Min;Lim, Sung Hoon;Shin, Min Soo;Lee, Ji Eun;Kim, Heung Nam
Journal of Korean Society for Quality Management
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v.50
no.4
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pp.647-664
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2022
Purpose: The purpose of this study is to derive major policies that domestic small and medium-sized manufacturing companies should consider to maximize productivity and quality improvement by utilizing manufacturing data and AI, and to find priorities and implications. Methods: In this study, domestic and international issues and literature review by country were conducted to derive major considerations such as manufacturing AI technology, manufacturing AI talent, manufacturing AI data and manufacturing AI ecosystem. Additionally, the questionnaire survey targeting 46 experts of manufacturing data and AI industry were conducted. Finally, the major considerations and detailed factors importance were derived by applying the Analytic Hierarchy Process (AHP). Results: As a result of the study, it was found that 'manufacturing AI technology', 'manufacturing AI talent', 'manufacturing AI data', and 'manufacturing AI ecosystem' exist as key considerations for domestic manufacturing AI. After empirical analysis, the importance of the four key considerations was found to be 'manufacturing AI ecosystem (0.272)', 'manufacturing AI data (0.265)', 'manufacturing AI technology (0.233)', and 'manufacturing AI talent (0.230)'. The importance of the derived four viewpoints is maintained at a similar level. In addition, looking at the detailed variables with the highest importance for each of the four perspectives, 'Best Practice', 'manufacturing data quality management regime, 'manufacturing data collection infrastructure', and 'manufacturing AI manpower level of solution providers' were found. Conclusion: For the sustainable growth of the domestic manufacturing AI ecosystem, it should be possible to develop and promote manufacturing AI policies in a balanced way by considering all four derived viewpoints. This paper is expected to be used as an effective guideline when developing policies for upgrading manufacturing through domestic manufacturing data and AI in the future.
The use of professional retirement personnel who have largely left their economic activities due to the retirement of baby boomers is a modern task and is emerging as a social issue. This study aims to explo re the perception of professional retirees' overseas volunteer experience as NGOs and seek ways to utilize pro fessional retirement personnel. This study is a qualitative study using photo-voice, and the participants in the study are retirees of retirement age from professions with experience in NGO overseas service. Data were collected through group activities and individual interviews, and data were analyzed using participatory analysis and subject analysis. The perception derived from the study was that NGO overseas service is the best job to be safe and raise the national status, and that information on this is wanted to be provided in retirement education. In conclusion, retirement education for the expansion of NGO overseas service was conducted not only in public enterprises but also in general workplaces to discuss ways to prepare before retirement, and the operation of the Retired NGO Overseas Volunteer Information Service Center was suggested. This study is meaningful in presenting basic data for preparing alternatives to social welfare policies in old age after retirement through the recognition of the experience of professional retirees in overseas NGO service
The purpose of this study is to examine the mediating effect of physical activity in the relationship between generalized anxiety disorder and overdependence on smartphones in adolescents. To find a way for solving the problems caused by the over-use of smartphones during adolescence, we tried to find the importance of a health promotion program through physical activities. For the purpose of the study, the 2020 Youth Health Behavior Survey data conducted by the Ministry of Education, the Ministry of Health and Welfare, and the Korea Centers for Disease Control and Prevention were used as analysis data for this study. As a result of the study, firstly, generalized anxiety disorder has a negative (-) relationship with physical activity, and physical activity also has a negative (-) relationship with overdependence on smartphones. Secondly, as a result of analyzing the mediating effect of physical activity in the relationship between generalized anxiety disorder and smartphone overdependence experience, the physical activity was found to be a significant factor. Thirdly, it was confirmed that the physical activity has a partial mediating effect in the relationship between generalized anxiety disorder and smartphone overdependence experience. Increasing physical activity through team sports rather than individual sports may help reduce smartphone use.
We installed temporary strong motion seismometers at the ground surface, 1 m, 2 m, and 9 m at an existing seismic station that houses permanent seismometers installed at 20 m and 100 m, to investigate the influence of installation depth on the recorded ambient and anthropogenic noise level and the characteristics of earthquake signals. Analysis of the ambient noise shows that anthropogenic noise dominates where vibration period T < 1 s at the studied site, whereas wind speed appears to be strongly correlated with the noise level at T > 1 s. Frequency-wavenumber analysis of 2D seismometer array suggests that ambient noise in short periods are predominantly body waves, rather than surface waves. The level of ambient noise was low at 9 m and 20 m, but strong amplification of noise level at T < 0.1 s was observed at the shallow seismometers. Both the active-source test result and the recorded earthquake data demonstrated that the signal level is decreased with the increase of depth. Our result also shows that recorded motions at the ground and 1 m are strongly amplified at 20 Hz (T = 0.05 s), likely due to the resonance of the 3 m thick soil layer. This study demonstrates that analysis of ambient and active-source vibration may help find optimal installation depth of strong motion seismometers. We expect that further research considering various noise environments and geological conditions will be helpful in establishing a guideline for optimal installation of strong motion seismometers.
Flipped learning is an instructional approach that reverses the traditional order of in-class and after-class activities. It entails students studying course materials before attending class, and then utilizing class time for completing homework tasks. Due to collaborative support available from teachers and peers, flipped learning has gained extensive adoption in computer science and engineering courses, enabling students to effectively engage in homework assignments. Nevertheless, students are responsible for studying class materials independently, which can limit their understanding of advanced topics. We propose an approach that combines both flipped learning and the traditional method, allowing them to mutually enhance each other. In the proposed approach, students acquire foundational concepts prior to attending class, and subsequently delve into advanced topics during classroom sessions through lectures and guidance provided by the teacher. Afterward, students collaborate with their peers to solve problems that involve the application of the concepts they have learned, and exchange a variety of solutions and perspectives. We implemented the proposed approach in four computer science and engineering classes, spanning one to four semesters and observed an enhancement in students' comprehension and satisfaction levels. We anticipate implementation of the proposed approach across various computer science and engineering courses, while enhancing their overall quality.
The Journal of The Korea Institute of Intelligent Transport Systems
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v.22
no.2
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pp.195-211
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2023
For the commercialization For the commercialization of autonomous vehicles (AV), the operational design domain (ODD) of automated driving systems (ADS) is to be clearly defined. A common language and consistent format must be prepared so that AV-related stakeholders can understand ODD at the same level. Therefore, overseas countries are presenting a standardized ODD framework and developing scenarios that can evaluate ADS-specific functions based on ODD. However, ODD includes conditions reflecting the characteristics of each country, such as road environment, weather environment, and traffic environment. Thus, it is necessary to clearly understand the meaning of the items defined overseas and to harmonize them to reflect the specific domestic conditions. Therefore, in this study, domestic optimization of the ODD classification system was performed by analyzing the domestic driving environment based on international standards. The driving environment of currently operating self-driving car test districts (Sangam, Seoul, and Gwangju) was investigated using the developed domestic ODD items. Then, based on the results obtained, the ranges of the ODDs in each test district were determined and compared.
The purpose of this study is to analyze class satisfaction with peer evaluation in Collaborative Learning-based classes. For collaborative learning-based classes, problem-based learning and project-based learning were selected. Educational implications were derived by designing Instructional procedures of Collaborative Learning-based classes, Peer evaluation types and questionnaire design, Peer evaluation progress of Collaborative Learning-based classes, Class satisfaction research and analysis In Collaborative Learning-based classes. The subjects of the study were participants in Collaborative Learning-based classes selected as problem-based learning and project-based classes. For class satisfaction with peer evaluation in Collaborative Learning-based classes, a survey was conducted on 168 participants A University in Korea. The research tool was designed as Learning procedures for peer evaluation Collaborative Learning-based classes is Team Building, Plan to the Task, To do Task, Mid-check on task, Task completion, Presentation & Evaluation, Reflection & Self-Evaluation. The content validity of items was confirmed by CVR of 12 experts. In the research results, the average class satisfaction of peer evaluation is 4.05(SD=91), followed by class concentration, diligence, voluntary, learning atmosphere. As a result of t-testing the difference in class type between collaborate learning-based classes, the satisfaction of PBL was higher than that of PjBL and a statistically significant difference was observed. The result of this study have significance in providing implications for class design and operation for the application and expansion of peer evaluation in higher education. However, there is a limit to generalization as a result of research using convenience.
In south Korea, the so-called 'conservative-liberal' rivalry over the assessment of the government's North Korean policies is seen to be impeding the road to right policy choices. For example, the liberals accused former President Lee Myung-bak's hardline policy of provoking Pyongyang and leading to a deterioration of inter-Korean relations, while the conservatives appreciated it for helping nurture mutually beneficial inter-Korean relations in the longer term by compelling North Korea to observe international norms. However, such debate over the vices and virtues of Seoul's North Korea policies is hardly meaningful as the measuring sticks used by the liberals and the conservatives are entirely different matters. The two major goals South Korea must pursue with its North Korean policies should be 'peaceful management of division' and 'change in North Korea'. The former is related to maintaining stability within South Korea and promoting co-prosperity with North Korea. For this, the nation needs to engage, encompass and assist the Pyongyang regime. The second goal is also necessary since South Korea, as a divided nation, must seek a unified Korea under the system of democracy and market economies by bringing change in North Korea. For this, South Korea needs powerful leverages with which it can persuade and coerce the North. This means that the nation is destined to simultaneously chase the above-mentioned two goals, while also both recognizing and negating the legitimacy of the North Korean regime. This situation necessitates Seoul to apply flexibility in reconciling with Pyongyang while applying firm principles to sever the vicious circle involving the North's military provocations. The May 25 Measures, which banned trade and economic cooperation with the North except those related to humanitarian assistance, were taken as sanctions against Pyongyang for sinking the South Korean corvette Chonan in March 2010. The Measures were taken by the Seoul government immediately after a multinational investigation team discovered evidence confirming that the South Korean naval ship had been torpedoed by a midget North Korean submarine. Naturally, the May 24 Measures have since then become a major stumbling block in inter-Korean exchange, prompting opposition politicians and concerned entrepreneurs to demand Seoul to unilaterally lift the Measures. Given the significant damages the Measures have inflicted on inter-Korean economic relations, removing them remains as homework for both Koreas. However, the Measures pertains to the 'principles on national security' the Seoul government must adhere to under all circumstances. This is why North Korea's apology and promises not to repeat similar provocations must come first. For now, South Korea has no alternative but to let North Korea solve the problems it has created. South Korea's role is to help the North do so.
This paper investigates how TMT's cognitive traits affect R&D investment. Drawing on the attention-based view, we propose that TMT's future orientation and risk preference increase the level of R&D investment. As R&D activities have long-term goal of generating proprietary knowledge, it is important to understand how TMT's attention toward future and risk affect R&D investment. Also, we test the moderating effect of CEO duality on R&D investment. As the CEO plays a leadership role in the TMT, if the CEO's decision-making authority is highly concentrated, the impact of TMT on R&D may decrease. We measure CEO duality and CEO ownership stake as CEO characteristics. Based on a sample of 837 U.S. manufacturing firms, the results show that when TMT has a higher tolerance for risk and higher future orientation, R&D intensity increases. However, when CEO also serves as chairman of board and CEO has higher ownership, TMT's influence on R&D investment weakens. This implies that TMT and CEO has power dynamic that can change based on CEO power supporting status. Overall, it suggests that TMT's attention and CEO power are important factors to improve longer-term knowledge accumulation of firm.
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