• Journal of Agricultural Extension & Community Development
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• v.23 no.3
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• pp.271-283
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• 2016

The purpose of this study is to verify the effect of urban agricultural practice on the factors of adolescent problem behavior. The main findings of this study are as follows. First, as a result of measuring quantitative research, urban agricultural practice improves 16.7% of self-worth, reduces 28.1% of depression, and improves 19.4% of sociality, the factors of adolescent problem behavior, and statistical significance is confirmed in all lower measures. Second, as a result of measuring qualitative research, there are overwhelmingly many cases that most items change positively or are maintained in sentence completion test. Third, a positive change of mind in adolescent communication, cognitive and problem- solving abilities, and participation is confirmed through observation of program participation behavior. It is significant for this study to confirm that urban agricultural experiential activity has a positive impact on the factors of adolescent problem behavior, and to verify educational effects and social values of urban agricultural practice including the necessity of development and operation of urban agricultural program to solve youth problems.

• Child Health Nursing Research
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• v.10 no.4
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• pp.383-394
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• 2004

Purpose: This study was conducted to identify resiliency factor, to test causal relationship and effect of resiliency factors on adaptation in families of children with cancer. A conceptual framework was constructed based on McCubbin's resiliency model. Hypotheses were tested with empirical data. Method: Data were collected using self-report questionnaire from 232 families of children with cancer. The collected data were analyzed using the SAS program and LISREL program for covariance structural analysis. Result: Family hardiness and problem-solving coping had significant direct effects on adaptation in families of children with cancer. Social support had significant indirect and total effect on adaptation. Family Schema had significant direct effect on family hardiness and problem-solving coping. Problem-solving communication had a significant direct effect on family hardiness and an indirect effect on family functioning and problem-solving coping. Among the resiliency factors, family hardiness had the greatest effect on adaptation in family of children with cancer. Conclusion: The findings suggest that nursing interventions to enhance family hardiness, problem-solving coping and social support would result in an increase in adaptation in families of children with cancer. An integrated intervention that emphasizes and promotes resiliency factors should be developed and established for families of children with cancer.

• Journal of Electrical Engineering and Technology
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• v.9 no.2
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• pp.415-422
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• 2014

This paper presents a new approach to solve the multi area unit commitment problem (MAUCP) using an evolutionary programming based particle swarm optimization (EPPSO) method. The objective of this paper is to determine the optimal or near optimal commitment schedule for generating units located in multiple areas that are interconnected via tie lines. The evolutionary programming based particle swarm optimization method is used to solve multi area unit commitment problem, allocated generation for each area and find the operating cost of generation for each hour. Joint operation of generation resources can result in significant operational cost savings. Power transfer between the areas through the tie lines depends upon the operating cost of generation at each hour and tie line transfer limits. Case study of four areas with different load pattern each containing 7 units (NTPS) and 26 units connected via tie lines have been taken for analysis. Numerical results showed comparing the operating cost using evolutionary programming-based particle swarm optimization method with conventional dynamic programming (DP), evolutionary programming (EP), and particle swarm optimization (PSO) method. Experimental results show that the application of this evolutionary programming based particle swarm optimization method has the potential to solve multi area unit commitment problem with lesser computation time.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.293-299
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• 2019

This study aimed to analyze the relationship between interpersonal problem, stress coping strategies and mental health for university students at risk of smartphone addiction using a structural equation modeling. Key results of the analysis were as follows. The interpersonal problem increased the severity of mental health. Stress coping strategies had partial mediating effects in the relationship between interpersonal problem and mental health. Passive coping strategy was risk factor and Active coping strategy was protective factor. Based on these results, various interventions for improving mental health for university students at risk of smartphone addiction were suggested.

• Korean Journal of Childcare and Education
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• v.19 no.4
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• pp.29-52
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• 2023

Objective: This research aims to examine the effect of a young children's engineering-focused STEAM program based on the project approach - a program that constructs components aligned with children's interests in their play through an engineering design process - on their scientific inquiry ability, mathematical problem-solving ability, and creativity. Methods: In this research, 42 five-year-old children from a public kindergarten in S district, I city, were randomly divided into experimental and comparative groups, each with 21 children. The engineering-focused STEAM program was conducted from April 18 to June 10, 2022, with the experimental group exploring the 'car' theme and the comparison group focusing on a different theme. The study employed an independent sample t-test and analysis of covariance(ANCOVA), using the pretest as a covariate to control variables. Results: The children-selected 'cars' themed engineering-focused STEAM program was effective in enhancing their scientific inquiry ability, mathematical problem-solving ability and creativity. Conclusion/Implications: The engineering-focused STEAM program, which emerges from young children's interesting daily play, had positive effects on enhancing their scientific inquiry ability, mathematical problem-solving ability, and creativity. This research can serve as fundamental data for developing education programs focused on engineering within the STEAM framework, guided by children's emergent play.

• Journal of The Korean Association For Science Education
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• v.19 no.3
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• pp.355-366
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• 1999

In this study, the characteristics of science inquiry problem solving were analyzed in the interactions between science process skills and science concepts by each related its category. Nine types of problem solving, which were based on two elements and the thinking aloud were found largely by protocol analysis, but six types when integrated similar thinking processes. There were quite differences in the representative types between students who succeeded and failed when science inquiry items were solved in the abilities of recognizing problems and generating hypotheses or those of drawing conclusions and evaluating. But there were not complete differences in those types between students who succeeded and failed when they were solved in the abilities of designing and performing experiments or those of interpreting and analyzing data. The data were divided into independent variables: $D_1,\;D_2,\;D_3,\;D_4,\;D$ and $C_1,\;C_2,\;C_3,\;C_4,\;C$ and dependant variables; $E_1,\;E_2,\;E_3,\;E_4,\;E$. The former consisted of the content-free science process skill achievement levels by each category of science inquiry skill and the science concept achievement levels, the latter the science inquiry problem achievement levels by each category of science inquiry skill. The regression equations were acquired within the 0.05 significant level by regression analysis: $E_1=0.03+0.16D_1+0.29C_1,\;E_2=-0.203+0.21D_2+0.45C_2,\;E_3=-0.32+0.13D_3+0.47C_3,\;E_4=0.61+0.09D_4+0.29C_4,\;E=-1.41+0.13D+0.47C$(E : the achievement of science problems, D : the achievement of science process skills, C : the achievement of science concepts).

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.3
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• pp.269-280
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• 2022

Recently, the necessity and importance of entrepreneurship education in universities in terms of nurturing creative talents and career paths have been emphasized. This study attempted to examine the mechanism of how the effectiveness of entrepreneurship education affects career maturity by dividing it into theoretical education and practical entrepreneurship education with problem-solving competency rather than a single dimension. This study performed an empirical analysis using Smart PLS for 153 college students. The results of the analysis are as follows. First, it was found that theoretical and practical entrepreneurship education had a significant positive (+) effect on problem-solving ability. Second, theoretical entrepreneurship education had a positive (+) effect on career maturity. but practical entrepreneurship education did not have a direct significant effect on career maturity. Third, problem-solving ability had a positive (+) effect on career maturity. Finally, the mediating effect analysis revealed that problem-solving ability had mediating effects on both entrepreneurship education and career maturity of college students. In conclusion, this study has its significance in that it presents the effectiveness and direction of entrepreneurship education both in theory and practice at a time when it is urgent to foster inspiring and creative talent in universities to meet the demands of the times. In particular, it was analyzed that entrepreneurship education conducted at universities is required to upgrade the curriculum, content, methodology, and subject design of practical entrepreneurship education, and there is an urgent need for improvement so that the effect of practical entrepreneurship education can have a significant effect on career maturity.

• Journal of the Korean Institute of Landscape Architecture
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• v.41 no.3
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• pp.83-93
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• 2013

This study has been performed to analyze and consider the problems after 30 years in terms of landscape design competition process in Korea, so that it can provide the basic data, which can improve the future landscape design competition. We have used Delphi Investigation to carry out a survey that targets professionals and identifies problems. The results are summarized as follows. Firstly, the results of the analysis of Landscape Design Competition for institution theory and case studies showed that there is an issue from four perspectives which are 'method of design competition', 'guidelines for design competition', 'winner selection process', and 'design changes after winning' Secondly, the process by professional Delphi performed expert analysis, and agree with expert opinion. As a result, we derived the problems of a landscape design competition system with the 12 items. Third, in the 'design competition style', two items, the 'design competition style' and 'problem of design public offering period' had become a problem. Fourth, the 'Guidelines for design competition', 'non-hierarchical excess of the amount of instructions', 'directive determined the guidelines', and the 'provision of confusion' three items had also become a problem. Fifth, 'sex expert committee review selection process winning work', 'Problems of participation', 'examination scoring system experts lack', and 'non-landscaping' had become a problem. Sixth, 'The design of the original order' as much as possible 'design changes after the winning work' Four 'order to Comments to reduce the creativity of the design of the climate', 'original extension', 'contractor feedback of excess without the promise of frequent personnel changes', design period of the person in charge is reflected in excess item has become a problem. I considered that a continuous research on the improvement of the problems of the landscape design competition system based on the results must be performed.

• Journal of Korean Society of Transportation
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• v.22 no.5
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• pp.89-97
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• 2004

The Korea Air Force(KAF) has operated freight flights based on the prefixed time and route schedule, which is adjusted once in a month. The major purpose of the operation of freight flights in the KAF is to distribute necessary supplies from the home air base to other air bases. The secondary purpose is to train the young pilots to get more experiences in navigation. Each freight flight starts from and returned to the home air base everyday except holidays, while it visits several other air bases to accomplish its missions. The study aims to forecast freight demand at each base by using time series analysis, and then it tried to optimize the cost of operating flights by solving vehicle routing problem. For more specifically, first, several constraints in operating cargos were defined by reviewing the Korea Air Force manuals and regulation. With such constraints, an integer programming problem was formulated for this specific routing problem allowing several visits in a tour with limitation of maximum number of visits. Then, an algorithm to solve the routing problem was developed. Second, the time series analysis method was applied to find out the freight demand at each air base from the mother air base in the next month. With the forecasted demands and the developed solution algorithm, the oprimum routes are calculated for each flight. Finally, the study compared the solved routing system by the developed algorithm with the existing routing system of the Korea Air Force. Through this comparison, the study proved that the proposed method can provide more (economically) efficient routing system than the existing system in terms of computing and monetary cost. In summary, the study suggested objective criteria for air routing plan in the KAF. It also developed the methods which could forecast properly the freight demands at each bases by using time series analysis and which could find the optimum routing which minimizes number of cargo needed. Finally, the study showed the economical savings with the optimized routing system by using real case example.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.129-136
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• 2020

The advantages of Blockchain present the necessity of Blockchain in various fields. However, there are several disadvantages to Blockchain. Among them, the uncle block problem is one of the problems that can greatly hinder the value and utilization of Blockchain. Although the value of Blockchain may be degraded by the uncle block problem, previous studies did not pay much attention to research on uncle block. Therefore, the purpose of this study attempts to predict the occurrence of uncle block in order to predict and prepare for the uncle block problem of Blockchain. This study verifies the validity of introducing new attributes and ensemble analysis techniques for accurate prediction of uncle block occurrence. As a research method, voting, bagging, and stacking ensemble analysis techniques were employed for Ethereum's uncle block where the uncle block problem actually occurs. We used Blockchain information of Ethereum and Bitcoin as analysis data. As a result of the study, we found that the best prediction result was presented when voting and stacking ensemble techniques were applied using only Ethereum Blockchain information. The result of this study contributes to more accurately predict the occurrence of uncle block and prepare for the uncle block problem of Blockchain.