• 한국학교ㆍ지역보건교육학회지
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• 제17권1호
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• pp.49-58
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• 2016

Objectives: This study was carried out to provide basic materials to draw up measures for courses operation and effective clinical practice operation for the cultivation of future effective problem solving ability by identifying the relationship between problem solving ability and clinical practice satisfaction of dental hygiene students. Methods: This study targeted 215 dental hygiene students from 3 universities located in Gyeonggi-do from November 30 to December 4, 2015. We analyzed the data with frequency analysis, descriptive statistics, t-test. One-way ANOVA, Pearson correlation coefficient, Regression analysis by using SPSS. Results: Clinical practice satisfaction between grades according to the general characteristics of the study subjects was analyzed and as a result, clinical practice satisfaction showed a significant difference depending on grade (t=-2.355, p=.019), major satisfaction(F=9.548, p=.000), health status(F=4.909, p=.008). The problem solving ability according to the general characteristics of the study subjects was compared and as a result, the problem solving ability score of students 'living apart from their family or living in lodgings' was found to be higher than that of students 'living with their family' (p=.023) and the problem solving ability of students who answered 'satisfied' with their major was higher than that of students who answered 'moderate' (p=.000). As the problem solving ability and major satisfaction are higher and health status is better, clinical practice satisfaction showed higher results (p<.01). Conclusions: The above results showed a correlation between the problem solving ability and clinical practice satisfaction of dental hygiene students and clinical practice satisfaction showed higher scores as the problem solving ability level was higher. Therefore, efforts to enhance dental hygiene students' clinical practice satisfaction are considered necessary by developing and providing a program to strengthen students' problem solving ability.

• 품질경영학회지
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• 제18권2호
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• pp.18-24
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• 1990

The location of inspection stations is a significant component of production systems. In this paper, a prototype expert system is designed for deciding the optimal location of inspection stations. The production system is defined as a single channel of n serial operation stations. The potential inspection station can be located after any of the operation stations. Nonconforming units are generated from a compound binomial distribution with known parameters at any given operation station. Traditionally Dynamic programming, Zero-one integer programming, or Non-linear programming techniques are used to solve this problem. However a problem with these techniques is that the computation time becomes prohibitively large when t be number of potential inspection stations are fifteen or more. An expert system has the potential to solve this problem using a rule-based system to determine the near optimal location of inspection stations. This prototype expert system is divided into a static database, a dynamic database and a knowledge base. Based on defined production systems, the sophisticated rules are generated by the simulator as a part of the knowledge base. A generate-and-test inference mechanism is utilized to search the solution space by applying appropriate symbolic and quantitative rules based on input data. The goal of the system is to determine the location of inspection stations while minimizing total cost.

• Journal of Power Electronics
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• 제14권2호
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• pp.249-256
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• 2014

A novel topology generation method for the no dead-time three-phase AC/DC converter is proposed in this study. With this method, a series of no dead time topologies are generated and their operation principles are analyzed. The classic three-phase bridge AC/DC converter can realize a bidirectional operation. However, dead-time should be inserted in the driving signals to avoid the shoot-through problem, which would cause additional harmonics. Compared with the bridge topology, the proposed topologies lack the shoot-through problem. Thus, dead time can be avoided. All of the no dead time three-phase AC/DC converters can realize bidirectional operation. The operating principles of the converters are analyzed in detail, and the corresponding control strategies are discussed. Comparisons of waveform distortion and efficiency among the converters are provided. Finally, 9 KW DSP-based principle prototypes are established and tested. Simulation and experimental results verify the theoretical analysis.

• 시스템엔지니어링학술지
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• 제18권2호
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• pp.117-125
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• 2022

In the early 2000s, the rapid decline in the fertility rate resulted in a decrease in military resources to maintain the conscription system. In addition, there has been a further decline in the fertility rate in recent years. So, it is necessary to efficiently utilize military resources to prepare for future problems. The Republic of Korea Navy is planning to reduce the number of crew to operate the newly built warships to prepare for this trend of decreasing in troop resources. However, if the number of crew is reduced without reviewing the appropriate number of crew for the operation of the warship, a bigger problem may be encountered in the future. In order to solve this problem, research is being conducted to examine whether the number of crew aboard a warship is appropriate using simulation. However, it is difficult to create a crew simulation model due to the lack of detailed data related to crew operation. In this study, to solve this problem, a method of generating quantitative data using qualitative survey results was suggested, and the process of creating a crew simulation model was performed using this.

• 대한전기학회논문지:전력기술부문A
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• 제48권12호
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• pp.1498-1506
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• 1999

In this paper, a hybridization of Evolutionary Strategy (ES) and a Two-Phase Neural Network(TPNN) is applied to the optimal environmental and economic operation. As the evolutionary computation, ES is to search for the global optimum based on natural selection and genetics but it shows a defect of reducing the convergence rate in the latter part of search, and often does not search the exact solution. Also, neural network theory as a local search technique can be used to search a more exact solution. But it also has the defect that a solution frequently sticks to the local region. So, new algorithm is presented as hybrid methods by combining merits of two methods. The hybrid algorithm has been tested on Emission Constrained Economic Dispatch (ECED) problem and Weighted Emission Economic Dispatch (WEED) problem for optimal environmental and economic operation. The result indicated that the hybrid approach can outperform the other computational efficiency and accuracy.

• 조명전기설비학회논문지
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• 제18권1호
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• pp.146-153
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• 2004

본 연구에서는 Fuzzy Goal Programming을 이용하여 배전계통에서 분산형 전원의 설치 및 운영에 대한 새로운 방안을 제시하였다. 분산형전원의 설치 및 운영을 위하여 최적화 알고리즘의 탐색공간의 크기를 줄이면서 계통상황 변동에 적합하게 정식화하였다. 특히, 목적함수인 계통 유효전력손실과 제약조건인 분산형전원의 수 또는 총용량 및 모선전압에 대하여 각각의 부정확한 성질을 평가하기 위하여 퍼지 Goal Programing으로 모델링 하였으며, 유전알고리즘을 사용하여 최적해를 탐색하였다.

• 대한기계학회논문집B
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• 제30권8호
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• pp.756-763
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• 2006

PEMFC has several technical problems such as water management, long term stability and performance degradation as. PEMFC has been studied not only to solve water management, but also to generate power in stable manner to system by using a hybrid system with auxiliary energy storage device. The purpose of this study is to couple PEMFC with supercapacitor to make a hybrid system and to design and test control strategies for stable power generation in case of changing output power. The polarization curve and dynamic behaviors while changing power were investigated to find out characteristics of PEMFC stack. A DC/DC converter was fabricated in order to increase fuel cell and supercapacitor voltage and to charge supercapacitor. We found that the operation strategy 2 was recommended to the system because of solving water management problem and increasing the dynamic behavior.

• Journal of information and communication convergence engineering
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• 제12권1호
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• pp.53-59
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• 2014

Motion estimation is a core part of most video compression systems since it directly affects the output video quality and the encoding time. The full search (FS) technique gives the highest visual quality but has the problem of a significant computational load. To solve this problem, we present in this paper a modified median (MMED) operation and advanced search strategies for fast motion estimation. The proposed MMED operation includes a temporally co-located motion vector (MV) to select an appropriate initial candidate. Moreover, we introduce a search procedure that reduces the number of thresholds and simplifies the early termination conditions for the determination of a final MV. The experimental results show that the proposed approach achieves substantial speedup compared with the conventional methods including the motion vector field adaptive search technique (MVFAST) and predictive MVFAST (PMVFAST). The proposed algorithm also improves the PSNR values by increasing the correlation between the MVs, compared with the FS method.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2000년도 봄 학술세미나 논문집
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• pp.93-104
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• 2000

By means of analyzing the problems in monitoring plan, design, installation, operation based on maintenance monitoring system installed in subway tunnel section, the methods of improvement were proposed for applying to subway monitoring maintenance effectively in future. The choice of the better monitoring system, the operating method of monitoring system, the confidence and continuity of maintenance monitoring, the performance of responsible monitoring supervision in the phase of the planning of monitoring and design were proposed. The problem and developed plan in the different monitoring systems, the calibration and correction of monitoring system, the analysis for the results and plan for maintenance in the phase of installation of monitoring system and operation were also proposed.

• ETRI Journal
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• 제37권3호
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• pp.637-645
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• 2015

Common-mode noise (CMN) is an unresolved problem in wireless capsule endoscopy (WCE) systems. In a WCE system, CMN originates from various electric currents found within the human body or external interference sources and causes critical demodulation performance degradation. The differential operation, a typical method for the removal of CMN rejection, can remove CMN by subtracting two signals simultaneously received by two reception sensors attached to a human body. However, when there is impedance mismatching between the two reception sensors, the differential operation method cannot completely remove CMN. Therefore, to overcome this problem, we propose an enhanced CMN rejection method. The proposed method performs not only subtraction but also addition between two received signals. Then a CMN ratio can be estimated by sufficient accumulation of division operation outcomes between the subtraction and addition outputs during the guard period. Finally, we can reject the residual CMN by combining the subtraction and addition outputs.