• Journal of the Korea Academia-Industrial cooperation Society
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• 제17권5호
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• pp.498-505
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• 2016

The purpose of this study is to investigate the levels of academic stress, sociality, and self-directed learning in nursing students, and to examine the relationship between the variables. Data were collected using a self-administered questionnaire from 208 students in the first and second years of a nursing program. This study was performed from December 5 to December 10, 2015. The data were analyzed with SPSS WIN 18.0 software (SPSS Inc., Chicago, IL, USA). The results were as follows. The mean score of academic stress was $3.20{\pm}0.53$, that of sociality was $2.91{\pm}0.25$, and that of self-directed learning was $3.33{\pm}0.33$. There was a negative correlation between academic stress and self-directed learning (r=-0.16, p=0.024) and a positive correlation between sociality and self-directed learning (r=0.17, p=0.015). Higher academic stress correlated with lower self-directed learning, while higher sociality correlated with higher self-directed learning. The results indicate that the levels of academic stress, sociality, and self-directed learning in nursing students can influence the quality of nursing education. Thus, there is a need to develop programs to reduce academic stress and to help improve sociality and self-directed learning for nursing students.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제10권8호
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• pp.1802-1809
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• 2009

Abstract The typical distribution systems have the power flow from distribution substations (sources) to customers (load) only as one direction. However, in the case where distributed generations (DG) such as PV system and wind power systems are connected to distribution systems, the DG output variations to distribution systems, so called reverse power flow, may cause the bi-directional power flow. So, the reverse power flow has severe impacts on typical power system, for example power quality problems, protection coordination problems, and so on. Especially, protection devices (sectionalizer) in primary feeder of distribution system interconnected with distributed generations may cause problems of malfunction, and then many customers could have problems like an interruption. So, this paper presents the bi-directional operation algorithm of protection devices to overcome the problems like mal-function. And, also this paper shows the effectiveness of proposed method by using both PSCAD/EMTDC software and test facility of protection devices to simulate the field distribution systems.

• The Journal of the Korea Contents Association
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• 제21권7호
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• pp.363-373
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• 2021

The purpose of this research is to analyze the Spill-over economic effect of the cultural and creative industries(CCI) in Henan Province, China. The research object is the CCI of Henan Province, which is mainly based on five sectors out of 42 industries in the industrial association table of the Statistical Bureau of Henan Province, China in 2017 (culture, sports; recreation and research sector; experimental development and integrated technical services sector; information transmission, computer services and software sector; education sector, etc), and is analyzed through secondary integration and redefinition of the CCI of Henan Province. Through the analysis of Henan Province Industry Association Table, this paper provides some enlightenment to the future direction of the cultural and creative industries. The main analysis results are as follows. The total production inducement of the CCI in Henan province is 48,848 billion yuan, and in particular, the production inducement coefficient of the industry in Henan province is 2.72809, 2.23909 (total of columns and rows), Index of the power of dispersion is 0.26325, and the index of the sensitivity of dispersion is 0.87535. Income induction coefficient is 0.55211, production tax induction coefficient is 0.09291. Because CCI of Henan Province has full development potential, the government needs to provide active support and policy support, in addition to the need for legal provisions and supervision of market management. In order to improve the innovative development of the CCI, it is necessary to develop a new model of "CCI+X".

• Journal of Digital Convergence
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• 제17권7호
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• pp.377-386
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• 2019

The purpose of this study is to identify effective strategies for promoting psycho-social adjustment by examining the mediating effects of self-esteem (SE) and moderating effects of social participation (SP) and discrimination experience (DE) in predicting social competence (SC) with acceptance of disability (AD). The subjects of the study were 1943 adults with a physical disability (1338 males and 605 females) and 233 adults with brain lesions (160 males and 73 females) aged between 19 and 65 years. Data were analyzed using SPSS and Process macro software, and conditional process analysis (model 18) in which the degree and onset of disability were controlled was performed. The results are as follows. First, SE was found to partially mediate the relationship between AD and SC. Second, the relationship between SE and SC was found to be moderated by SP but not by DE, and the relationship between SP and SC was found to be moderated by DE. In addition, the mediating effects of SE, which was moderated by SP, were found to not be moderated by DE. The clinical implication and suggestion for future research is discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제20권6호
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• pp.521-530
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• 2019

With a view to respond to urban climate change issues and improve the urban environment in a qualitative manner, the strategy of multi-dimensional greening of the traditional markets in the City of Seoul to secure the multi-dimensional green spaces can result in a significant effect in terms of landscaping, environment, and spatial aspect. The purpose of this study is to examine the elements of multi-dimensional greening for the multi-dimensional greening of buildings in order to enhance the greening function within urban phenomena and, with this, establish the criteria for success introduction of multi-dimensional greening and its qualitative expansion. For this, a total of 569 consumers of traditional markets have been interviewed, and the data from their questionnaires were analyzed through SPSS and AMOS software. The result of the analysis showed that the elements of the multi-dimensional greening of traditional markets, such as the economical, physical, functional, visual, and facility aspects all affected the consumer expectation in a positive manner. Also, depending on the gender of the customers of traditional markets, the ecological aspect among the elements of multi-dimensional greening had a significant difference. And, by the age, the functional, physical, and visual aspects of the elements of multi-dimensional greening showed a significant different. And, the expectation on the multidimensional greening of traditional markets also showed a statistically significant difference. By the level of education, there were significant differences in terms of the physical and visual aspects of the multi-dimensional greening elements. And, the level of expectation on the multidimensional greening also differed significantly.

• Journal of the Korean Society of Radiology
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• 제12권6호
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• pp.713-718
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• 2018

In many previous studies, monte carlo simulation is used to produce lead-free shielding sheet, and the possibility of radiation shielding capability and weight reduction is presented. But it is difficult to simulation for binder and micro-pores because of In fact it does not provide sufficient information necessary for the commercialization process. Therefore, in this paper, the results of radiation shielding capability corresponding to filling factor was presented by using the screen printing method to provide information on gel-paste required for the commercialization process. In this study, the geometric setup for evaluate of radiation shielding ability was designed to comply with IEC 61331-1:2014 and KS A 4025. In addition, radiation irradiation conditions were 100 kVp filtered with 2.0 mmAl total filtration was applied according to KS A 4021 standard. In this study, Pb $1270{\mu}m$, $BaSO_4$ $3035{\mu}m$, $Bi_2O_3$ $1849{\mu}m$ and $WO_3$ $2631{\mu}m$ were analyzed based on ten value layer. Additionally, the filling factor was analyzed as $BaSO_4$ 38.6%, $Bi_2O_3$ 27.1%, $WO_3$ 30.15%. However, in the case of applying low-temperature high-pressure molding in the future, it is expected that the radiation shielding capability can be sufficiently improved by reducing the porosity while increasing the filling factor.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• 제19권2호
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• pp.25-40
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• 2019

Many companies are executing big data analysis and utilization projects to legitimize the development of new business areas or conversion of management or technical strategies. In Korea and abroad, however, such projects are failing because they are not completed within specified deadlines, which is not unrelated to the current situation in which the knowledge base for big data project risk management from an engineering perspective is grossly lacking. As such, the current study analyzes the risk factors of big data implementation and utilization projects, in addition to finding risk factors that are highly important. To achieve this end, the study extracts project risk factors via literature review, after which they are grouped using affinity methodology and sifted through expert surveys. The deduced risk factors are structuralize using factor analysis to develop a table that categorizes various types of big data project risk factors. The current study is significant that in it provides a basis for developing basic control indicators related to risk identification, risk assessment, and risk analysis. The findings from the study contribute greatly to the success of big data projects, by providing theoretical basis regarding efficient big data project risk management.

• 한국체육학회지인문사회과학편
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• 제56권2호
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• pp.303-320
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• 2017

This paper seeks to better understand the focal issues and persons related to Rio Olympic soccer games through social data science and analytics. This study collected its data from online news articles and comments specific to KOR during the Olympic football games. In order to investigate the public interests for each game and target persons, this study performed the co-occurrence words analysis. Then after, the study applied the NodeXL software to perform its visualization of the results. Through this application and process, the study found several major issues during the Rio Olympic men's football game including the following: the match between KOR and PIJ, KOR player Heungmin Son, commentator Young-Pyo Lee, sportscaster Woo-Jong Jo. The study also showed the general public opinion expressed positive words towards the South Korean national football team during the Rio Olympics, though there existed negative words as well. Furthermore the study revealed positive attitude towards the commentators and casters. In conclusion, the way to increase the public's interest in big sporting events can be achieved by providing the following: contents that include various professional sports analysis, a capable domain expert with thorough preparation, a commentator and/or caster with artistic sense as well as well-spoken, explanatory power and so on. Multidisciplinary research combined with sports science, social science, information technology and media can contribute to a wide range of theoretical studies and practical developments within the sports industry.

• 한국체육학회지인문사회과학편
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• 제58권1호
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• pp.217-228
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• 2019

The purpose of this study is to test the mediating effect of coping plan and action plan in the relation between leisure-time physical activity(LTPA) intention and exercise behavior and to extend the literature in theory of planned behavior. We examined the mediating role of implementation plan-namely coping plan and action plan in the effect of intention to physical activity on exercise behavior. To attain the goal of study, we asked collegiate students (n=253; male=118, female=105) report their intention toward LTPA, coping plan, action plan, and self-reported exercise behavior. Collected data was analyzed using statistical program software (i.e., SPSS, AMOS) for SEM and mediation analyses. The results revealed that intention toward LTPA was positively related to implementation plan (coping plan and action plan) and exercise behavior. Collegiate students' intention toward LTPA positively predicted their exercise behavior mediated by implementation plans. Specifically, LTPA intention among collegiate students predicted their exercise behavior via coping plan and action plan. The findings showed that coping plan and action plan partially mediated in the relation between LTPA intention and exercise behavior. In conclusion, students' intention to be getting physical active in leisure-time physical activity explains lifetime physical activity or the level of recent exercise behavior possibly via coping plan (e.g., how to overcome barriers to exercise) and action plan (e.g., when and where I exercise and get physically active). The conceptualization of coping plan and action plan in implementation plans and test of its model better to explain the intention-behavior gap would help exercise instructors or practitioners effectively develop their plans and strategies toward targeted exercise behavior.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• 제21권1호
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• pp.79-86
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• 2021

In order to increase the probability of success in big data projects, quantified techniques are required to analyze the root cause of risks from complex causes and establish optimal countermeasures. To this end, this study measures risk factors and relationships through SNA analysis and presents a way to respond to risks based on them. In other words, it derives a dependency network matrix by utilizing the results of correlation analysis between risk groups in the big data projects presented in the preliminary study and performs SNA analysis. In order to derive the dependency network matrix, partial correlation is obtained from the correlation between the risk nodes, and activity dependencies are derived by node by calculating the correlation influence and correlation dependency, thereby producing the causal relationship between the risk nodes and the degree of influence between all nodes in correlation. Recognizing the root cause of risks from networks between risk factors derived through SNA between risk factors enables more optimized and efficient risk management. This study is the first to apply SNA analysis techniques in relation to risk management response, and the results of this study are significant in that it not only optimizes the sequence of risk management for major risks in relation to risk management in IT projects but also presents a new risk analysis technique for risk control.