• Journal of Fisheries and Marine Sciences Education
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• v.18 no.3
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• pp.302-313
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• 2006

This paper explores the efficacy on enforcing empowerment for the beginner special education teachers' adaptation of teaching life. Empowerment is widespread public concern regarding the role of the teacher in decision made in the operation of schools. Therefore what is discussed to be definition, a central component and strategies of empowerment based upon the through literature review. Empowerment is defined in terms of teachers power to participate in decision making about teaching and learning condition, especially is related to disabilities. And Empowerment has six components, decision making, professional growth, status, self-efficacy, autonomy, and impact. When novice teachers in special education utilize self-empowerment strategy, they have the opportunities for greater status and increasing power.Finally, empowerment is at the heart of special education teachers' adaptation of teaching life. It is suggested that follow-up studies should be conducted to develop indicator for assessing what teachers in special education perceived their empowerment in overall work. Also higher education program must address this issue in pre-service training of administrators and teachers in special education.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.19 no.2
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• pp.142-148
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• 2007

The purpose of this study is to suggest the effective ventilation strategies and control methods that can minimize energy cost maintaining acceptable IAQ level in apartment house. The effects of the air-cleaning and heat-recovery ventilation system on IAQ under various operating conditions are investigated based on the experimental and CFD analyzed results. The results can be summarized as follows. (1) When a ventilator is not operated, the concentration of several pollutants may highly show in the house even though environment-friendly building materials are applied. Therefore, a mechanical ventilation system is required to obtain proper ventilation. (2) The pollutant concentration is noticeably deceased under air-cleaning/ventilation mode of air-clinic system, however, pollutant of kitchen is stagnant, because fresh air is not carried into the kitchen. (3) When air-clinic system is only equipped at master bedroom and living room, the system does not effectively deliver fresh air throughout the whole house, and then high pollutant concentration is obtained in each room. In contrast the average pollutant concentration meets the guideline when air-clinic system is installed at each room. (4) The air-cleaning/ventilation mode significantly affects on room ventilation in comparison with ventilation mode only.

• Journal of the Korea Safety Management & Science
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• v.4 no.3
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• pp.79-93
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• 2002

Cross docking is a material handling and distribution concept in which products move directly from receiving dock to shipping dock, without being stored in a warehouse or distribution center. Depending on the facility and operating conditions or strategies employed, it is possible to generate various cross docking scenarios or models. The cross docking model, which is studied in this research, assumes there are a separate receiving dock and a separate shipping dock. It is also assumed that the products contained in a receiving truck and the products needed for a shipping truck are known in advance. Furthermore, the study is restricted to scenarios where there is only one receiving dock and only one shipping dock at the warehouse. The research objective is to find the best truck spotting sequence for both receiving and shipping trucks to minimize total operation time (i.e., the makespan) of the cross docking system.

• Journal of Korean Biological Nursing Science
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• v.21 no.4
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• pp.308-317
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• 2019

Purpose: This study aimed to investigate the level and related factors related to health-promoting lifestyle in operating room nurses in Korea. Method: A cross-sectional descriptive survey design was employed. The data were collected using questionnaire for three weeks in December 2018 from 110 operating room nurses working for more than six months in a general hospital located in Seoul. The Health Promoting Lifestyle Profile-II, The Korean Version of the Practice Environment Scale of Nursing Work Index, and Operating nurse's Job stress Factor Scale were used. Results: Significant relationships were observed between health promoting lifestyle and educational level(p= .025), perceived economic status (p= .001) wearing a lead apron for protection from radiation during the operation(p< .001), work satisfaction(p= .016), and fatigue related to work(p= .006). Also significant correlations were identified between nursing work environment and health promoting lifestyle. However, the health promoting lifestyle was not statistically different based on occupational stress(p= .365). In multiple linear regression analyses, the level of health promoting lifestyle found to be higher in subjects who did not wear a lead apron for protection from radiation(p= .017), and who had more positive perception of the nursing work environment(p= .034). Conclusion: In order to increase health promoting lifestyle of operating nurses, the strategies to improve the nursing work environment are essential.

• The Transactions of the Korean Institute of Power Electronics
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• v.10 no.6
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• pp.610-617
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• 2005

A variable speed wind turbine simulation model for grid connection is developed based on PSCAD/EMTDC. The model consists of wind model, rotor dynamics, synchronous generator, power converter, transformer, distribution line and infinite bus. Implementation of blade characteristics and power converter control strategies are included. Several transient case studies are performed including wind speed change, local load change and grid-side voltage unbalance using developed simulation model. The results of this work can be utilized for study of actual interaction between wind turbine and grid for reliable operation and protection of power system.

• The Transactions of the Korea Information Processing Society
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• v.4 no.7
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• pp.1781-1787
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• 1997

Future high speed networks are expected to use the Asynchronous Transfer Mode(ATM), which provides desired quality of service for the various traffic types(e.g., voice, video and data). Proper traffic control scheme helps ensure efficient and fair operation of networks. In this paper, we analyze various related traffic-control strategies and propose a new traffic control scheme and ATM control architecture with an integrated buffer management method and multi-thresholds in order to solve the problem of each class's cell loss ratio and cell delay in ATM networks. In addition, we evaluate the performance improvement of the proposed traffic control scheme through simulation. As shown in the result, the proposed traffic control scheme improves cell loss ratio in proportion to the buffer size.

• Journal of Sensor Science and Technology
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• v.29 no.6
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• pp.382-387
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• 2020

Hydrogen (H₂) is considered as a new clean energy resource for replacing petroleum because it produces only H₂O after the combustion process. However, owing to its explosive nature, it is extremely important to detect H₂ gas in the ambient atmosphere. This has triggered the development of H₂ gas sensors. 2-dimensional (2D) graphene has emerged as one of the most promising candidates for chemical sensors in various industries. In particular, graphene exhibits outstanding potential in chemoresistive gas sensors for the detection of diverse harmful gases and the control of indoor air quality. Graphene-based chemoresistive gas sensors have attracted tremendous attention owing to their promising properties such as room temperature operation, effective gas adsorption, and high flexibility and transparency. Pristine graphene exhibits good sensitivity to NO₂ gas at room temperature and relatively low sensitivity to H₂ gas. Thus, research to control the selectivity of graphene gas sensors and improve the sensitivity to H₂ gas has been performed. Noble metal decoration and metal oxide decoration on the surface of graphene are the most favored approaches for effectively controlling the selectivity of graphene gas sensors. Herein, we introduce several strategies that enhance the sensitivity of graphene gas sensors to H₂ gas.

• Journal of the Korean Society for information Management
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• v.27 no.4
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• pp.131-152
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• 2010

This study investigated and analyzed operating policies and status of the best practices repository in the world to propose the successful strategies of management and establishment of repository. The best practices were selected from the top 10 of the Ranking Web of World Repositories by CSIC and Registry of Open Access Repositories by JISC. These repositories fell into two rough classes, disciplinary and institutional repositories. Policies on operation and support, collection, management, distribution and information services, long-term preservation, technology and copyright were analyzed. Characteristic of disciplinary and institutional repository policies were also identified.

• Journal of Electrical Engineering and Technology
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• v.5 no.1
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• pp.70-78
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• 2010

Elitist nondominated sorting genetic algorithm (NSGA-II) is adopted and improved for multiobjective optimal reactive power flow (ORPF) problem. Multiobjective ORPF, formulated as a multiobjective mixed integer nonlinear optimization problem, minimizes real power loss and improves voltage profile of power grid by determining reactive power control variables. NSGA-II-based ORPF is tested on standard IEEE 30-bus test system and compared with four other state-of-the-art multiobjective evolutionary algorithms (MOEAs). Pareto front and outer solutions achieved by the five MOEAs are analyzed and compared. NSGA-II obtains the best control strategy for ORPF, but it suffers from the lower convergence speed at the early stage of the optimization. Several problem-specific local search strategies (LSSs) are incorporated into NSGA-II to promote algorithm's exploiting capability and then to speed up its convergence. This enhanced version of NSGA-II (ENSGA) is examined on IEEE 30 system. Experimental results show that the use of LSSs clearly improved the performance of NSGA-II. ENSGA shows the best search efficiency and is proved to be one of the efficient potential candidates in solving reactive power optimization in the real-time operation systems.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.6
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• pp.562-576
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• 2013

Power TAC (Power Trading Agent Competition) is an agent-based simulation for competitions between electricity brokering agents on the smart grid. To win the competition, agents obtain electricity from the electricity wholesale market among the power plants. In this operation, a key to success is balancing the demand of the customer and the supply from the plants because any imbalance results in a significant penalty to the brokering agent. Given the bidding on the wholesale market requires the price and the quantity on the electricity, this paper proposes four different price estimation strategies: exponentially moving average, linear regression, fuzzy logic, and support vector regression. Our evaluations with the competition simulation show which strategy is better than which, and which strategy wins in the free-for-all situations. This result is a crucial component in designing an electricity brokering agent in both Power TAC and the real world.