• Journal of Electrical Engineering and Technology
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• v.6 no.2
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• pp.174-181
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• 2011

This paper proposes a novel binary ant colony optimization (NBACO) method. The proposed NBACO is based on the concept and principles of ant colony optimization (ACO), and developed to solve the binary and combinatorial optimization problems. The concept of conventional ACO is similar to Heuristic Dynamic Programming. Thereby ACO has the merit that it can consider all possible solution sets, but also has the demerit that it may need a big memory space and a long execution time to solve a large problem. To reduce this demerit, the NBACO adopts the state probability matrix and the pheromone intensity matrix. And the NBACO presents new updating rule for local and global search. The proposed NBACO is applied to test power systems of up to 100-unit along with 24-hour load demands.

• Journal of Distribution Science
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• v.14 no.5
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• pp.39-50
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• 2016

Purpose - The purpose of this study was to substantiate the relationship between on-the-job training (OJT) characteristic factors and OJT outcomes and the moderating effect of the tie strength between a trainer and a trainee on the relationship. OJT characteristic factors were composed of a unit of work to be learned, trainee's motivation, trainer's ability, OJT design, and OJT support. OJT outcomes included job satisfaction and organizational commitment in the research. The tie strength means a sense of intimacy with a trainer. All of the OJT characteristic factors, OJT outcomes, and the tie strength were defined operationally as the perceived ones by a trainee. Research design, data, and methodology - This study analyzed the data of 302 employees in a domestic travel agency as early career for seven years or less. The main methods for the analysis were multiple linear regression analysis and moderating effect analysis. The whole process of the data analysis was conducted using the SPSS 21.0 for windows. Results - The results of the study are as follows: First, every five element of OJT, including unit of work to be learned, trainee's motivation, trainer's ability, OJT design, and OJT support, showed positive influence on OJT outcomes - job satisfaction and organizational commitment. Second, the tie strength between a trainer and a trainee was positively related with OJT outcomes. Finally, the strength of ties between the trainer and the trainee was found positively to moderate the relationship of a unit of work to be learned, OJT design, or OJT support, with OJT outcomes. However, the moderating effect of the tie strength was not significant statistically between the trainee's motivation or the trainer's ability, and OJT outcomes. Conclusion - In the study, it was demonstrated that every OJT characteristic factors have a positive contribution to job satisfaction and organizational commitment for early career employees. In addition, the study showed the need to pay attention to improve the quality of relationships between trainers and trainees, in order to increase the impact of a unit of work to be learned, OJT design, and OJT support. These findings suggest the implications in the three factors as external factors that constitute OJT. The three factors are made by HRD practitioners who are involved in design and operation of the program as well as their interventions to improve the quality of the relationship between trainers and trainees. On the other hand, it was demonstrated in the research that trainee's motivation and trainer's ability, regardless of their tie strength, have a direct impact on OJT outcomes by itself. Moreover, the trainee's motivation and trainer's ability are intrinsic characteristics, rather than external factors that constitute OJT. Therefore, they are unlikely to be changed by HRD practitioners' interventions. In conclusion, it was argued in the research that the trainee's motivation and trainer's ability should be a consideration in selecting and matching partners in OJT participants before starting OJT.

• Korean journal of communication and information
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• v.36
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• pp.287-323
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• 2006

This study attempted to find out that organizational culture and organizational support are the main factors of an effect on team, a kind of making unit of broadcasting programming, commitment. And especially this research tried out that each organizational culture type had an effect differently on team commitment using of Linear Structural Equation Modeling(LISREL). In order to empirically test to the research model, data were collected by 280 terrestrial Broadcasting PD in Seoul. Result showed that each organizational culture has a differential influence on the path and effect of organizational support and team commitment. The educational system and production back up of the Organizational support system have not enough to support and promote the team commitment except reward system. As a consequence, Broadcasting organization make a strategy considering of dominant organizational culture type.

• Journal of Electrical Engineering and Technology
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• v.12 no.6
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• pp.2187-2195
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• 2017

In order to solve the AC optimal power flow (OPF) problem considering the generators' on/off status, it is necessary to model the problem as mixed-integer nonlinear programming (MINLP). Because the computation time to find the optimal solution to the mixed-integer AC OPF problem increases significantly as the system becomes larger, most of the existing solutions simplify the problem either by deciding the on/off status of generators using a separate unit commitment algorithm or by ignoring the minimum output of the generators. Even though this kind of simplification may make the overall computation time tractable, the results can be significantly erroneous. This paper proposes a novel algorithm for the mixed-integer AC OPF problem, which can provide a near-optimal solution quickly and efficiently. The proposed method is based on a combination of the outer approximation method and the relaxed AC OPF theory. The method is applied to a real-scale power system that has 457 generators and 2132 buses, and the result is compared to the branch-and-bound (B&B) method and the genetic algorithm. The results of the proposed method are almost identical to those of the compared methods, but computation time is significantly shorter.

• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.347-348
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• 2006

발전기의 기동정지계획(unit commitment)에 있어서 전통적인 방식은 발전기를 기동/정지하는데 드는 비용(cost)을 기반으로 결정해 왔다. 그러나 전력시장의 변화에 따라 반전기의 기동정지계획에 전력 요금(price)의 중요성이 인식되면서 요금에 기반한 기동정지계획에 대한 연구들이 진행되고 있다. (1) 본 논문에서는 이러한 요금 기반 기동정지계획을 한국의 전력시장 환경에서 소형열병합발전기(micro-CHP(combined heat and power))에 적용해 본다. 한국의 전력시장에서 주택에 사용되는 전력 요금에 대해서는 누진제가 적용된다. 그러므로 븐 논문에서는 아파트에 설치된 소형열병합발전기의 요금 기반 기동정지계획의 시뮬레이션 결과를 분석함으로써 전력 요금의 누진제가 기동정지계획에 어떠한 영향을 주는지에 대해서 논하고자 한다.

• Proceedings of the KIEE Conference
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• 2001.07a
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• pp.327-329
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• 2001

This paper presents the application of Parallel genetic algorithm and parallel tabu search to search an optimal solution of a unit commitment problem. The proposed method previously searches the solution globally using the parallel genetic algorithm, and then searches the solution locally using tabu search which has the good local search characteristic to reduce the computation time. This method combines the benefit of both method, and thus improves the performance. To show the usefulness of the proposed method, we simulated for 10 units system. Numerical results show the improvements of cost and computation time compared to previous obtained results.

• Journal of the Korean Society of Earth Science Education
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• v.13 no.2
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• pp.186-195
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• 2020

The purpose of this study is to investigate the effect of jigsaw cooperative learning strategy on elementary students' task commitment and creative personality. This study utilized experimental method of comparing the effect of jigsaw strategy between treatment and comparative group. Twenty four 6^th grade students in treatment group experienced the jigsaw cooperative learning for twelve-weeks during 2019 school year whereas students in comparetive group did not. Task commitment and creative personality test result were collected from both groups as main data sources and mixed-method was used to analyze the data. The results of the study were as follows. First, the treatment group students' task commitment score was significantly higher than comparative group of students' score(p<.05). Second, the treatment group students' creative personality efficacy score was significantly higher than comparative group students' (p<.05). Third, students who experienced the jigsaw cooperative learning-based science lesson had positive perceptions about the lesson.

• Journal of Korean Academy of Nursing Administration
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• v.2 no.1
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• pp.5-15
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• 1996

The purpose of this study is analysis of the relationship between autonomy and group cohesiveness perceived by nurses and their job satisfaction, organizational commitment, motivation and intend to stay on jobs to develope the nursing staff management. The results are as follows: 1. Characteristics of subjects are not significantly different in perceived autonomy, but group cohesiveness, organizational commitment and intend to stay on jobs are different in nursing unit(p<.05). Educational background is significantly different in job satisfaction: nurses who has diploma show higher scores than who has baccalaureate degree(p<.05). 2. Perceived autonomy is related with job satisfaction, motivation and intend to stay on jobs but is not related with organizational commitment(p<.05). 3. Group cohesiveness perceived by nurses is significantly related with job satisfaction, organizational commitment motivation and intend to stay on jobs and their correlation coefficients are higher than that of perceived autonomy(p<.05). 4. The interaction effect of autonomy and group cohesiveness with all dependent variables is not significant(p>.05). The main effect on all dependent variables is presented as group cohesiveness. 5. The canonical correlation coefficient of independent variables and dependent variables is 0.503(p<0.000). The above results are important in the aspect of the development of strateges for retension of qualified nurses performing quality of nursing care and organizational efficacy. Autonomy and group cohesiveness perceived by nurses are important factors in nursing staff management; the further studys on job redesign and intervention strateges for enhancing group cohesiveness are needed.

• Journal of East-West Nursing Research
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• v.21 no.1
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• pp.36-42
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• 2015

Purpose: This study was conducted to identify the level of job stress and to determine factors influencing job stress among nurses currently under Academic Credit Bank (ACB) system. Methods: The participants were 153 nurses who has taken courses of ACB system. Data were collected through self-report questionnaires and then analyzed with t-test, ANOVA, Pearson correlation coefficients, and multiple linear regression with SPSS/WIN 18.0. Results: The score of job stress showed significant differences according to age, marital status, total period of clinical career, and nursing unit. Job stress had significant negative correlation to professional self-concept and organizational commitment. The factors influencing job stress were marital status, professional self-concept, and organizational commitment. Conclusion: The results suggest that various factors should be considered in development and implementation of programs to reduce the job stress of nurses currently under ACB system.

• Journal of the Korean Operations Research and Management Science Society
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• v.15 no.1
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• pp.99-115
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• 1990

This paper is concerned with the unit commitment problem in an electric power system with both thermal and pumped-storage hydroelectric units. This is a mixed integer programming problem and the Lagrangean relaxation method is used. We show that the relaxed problem decomposes into two kinds of subproblems : a shortest-path problem for each thermal unit and a minimum cost flow problem for each pumped-storage hydroelectric unit. A method of obtaining an incumbenet solution from the solution of a relaxed problem is presented. The Lagrangean multipliers are updated using both subgradient and incremental cost. The algorithm is applied to a real Korean power generation system and its computational results are reported and compaired with other works.