• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2002년도 ICCAS
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• pp.110.1-110
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• 2002

We propose a novel neuro-fuzzy system based on an efficient clustering method. It is a very useful method that improves the performance of a fuzzy model with small number of fuzzy rules. The fuzzy clustering methods are studied in the wide range of fuzzy modeling. One of them, the grid partition method has problem of exponentially increasing number of rules when the dimension of input or number of membership function is linearly increased. On the other hand, the Expectation Maximization algorithm is an efficient estimation for unknown parameters of the Gaussian mixture model. Here it is noted that the parameters can be used for fuzzy clustering method. In a fuzzy modeling, it is desired that...

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.396-396
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• 2000

Multiperiod optimization is the key step to tackle the supply chain optimization problems. Taking supply and demand uncertainty or prediction into consideration during the process synthesis phase leads to the maximization of the profit for the long range time horizon. In this study, new algorithm based on the Genetic Algorithms is proposed for multiperiod optimization formulated in MINLP, GDP and hybrid MINLP/GDP. In this study, the focus is given especially on the design of the Genetic Algorithm suitable to handle disjunctive programming with the same level of MINLP handling capability. Hybridization with the Simulated Annealing is tried. and many heuristics are adopted for this purpose.

• 물과 미래
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• 제13권3호
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• pp.77-81
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• 1980

Probable Maximum Precipitation values for seven heavy stroms during the period from 1966 to 1976 are derived, using the manual for W.M.O P.M.P analysis of strom precipitation. The hydrometeoroogical and the statistical methods are consisted of the procedure of P.M.P. estimation in this study. It is possible to draw P.M.P curves from the view points of area and strom durations. A comparison has been made between the P.M.P values of Nakding River basin and the results of this paper. For a storm period of 24 hours, the P.M.P value at the maximum station is 762 mm and the moistrue maximization ratio are within the range 1.17 to 1.41 for the seven selected stroms.

• 한국측량학회지
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• 제29권1호
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• pp.71-80
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• 2011

임계값 결정은 변화유무만을 판단하는 무감독변화탐지에 있어 매우 중요한 과정으로 인식되고 있다. 본 논문은 향후 수요 증가가 기대되는 원격탐사 데이터 중 하나인 초분광영상을 이용한 새로운 무감독변화탐지 기법을 제안하고 있다. 다중시기의 화소간 유사도 측정을 통해 도출된 결과값을 일정 간격으로 평균하여 그래프를 생성하고, 최대거리 기법을 적용하여 변화유무 정보를 추출하기 위한 임계값을 결정하였다. 참조자료를 취득할 수 있는 두 가지 의사영상을 통해 기대최대화 기법, 교점방법, Otsu 기법과 결과를 비교하여 성능을 평가하였으며, 이를 토대로 다중시기의 Hyperion 영상에 각 기법을 적용하여 변화탐지 결과를 확인하였다. 제안기법은 기존의 임계값 결정 기법과 비슷하거나 높은 정확도를 보였으며, 간단하게 적용할 수 있는 장점이 있어 향후 초분광영상을 이용한 무감독변화탐지에 효과적으로 사용될 수 있을 것으로 기대된다.

• 한국자기학회지
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• 제6권1호
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• pp.40-47
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• 1996

본 논문에서는 영전식 magnetic lifter의 최적 설계 방법을 제시하였다. 등가 자기회로법으로 흡착시와 탈착시의 자장 해석 및 전자역 계산을 행하였고, 최적 설계를 위해 등가 자기회로법으로 해석된 흡착시의 전자력을 최대로 하는 lifter의 치수를 구하였다. 또한 흡착시의 전자력을 제한 조건으로 하여 lifter 전체의 부피를 최소로 하는 치수를 찾았다. 위 최적 설계를 위한 최적화 알고리즘으로는 (1+1) Evolution Strategy(ES)를 이용하였다. 또한 상용 자장해석 프로그램(MAXWELL)을 사용하여 얻은 결과와 위의 최적화 결과를 비교하여 본 논문의 최적화방법의 타당성을 검증하였다.

• 한국정밀공학회지
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• 제19권12호
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• pp.163-170
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• 2002

The quality of a precision product, in general, relies on the accuracy and precision of its manufacturing and inspection process. In many cases, the level of precision in the manufacturing and inspection system is also dependent on the positioning capability of tool with respect to the work piece in the process. Recently the positioning accuracy level has reached to the level of submicron and long range of motion is required. For example, for 1 GDARM lithography, 20nm accuracy and 300mm stroke needs. This paper refers to the lithography stage especially to fine stage. In this study, for long stroke and high accuracy, the dual servo system is proposed. For the coarse actuator, LDM (Linear DC Motor) is used and for fine one VCM is used. In this study, we propose the new structure of VCM for the fine actuator. It is 3 axis precision positioning stage for an aligner system. After we perform the optimal design of the stage to obtain the maximum force, which is related to the acceleration of the stage to accomplish throughput of product. And we controlled this fine stage with TDC. So we obtained 50nm resolution. So later more works will be done to obtain better accuracy.

• 전기학회논문지
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• 제60권3호
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• pp.509-516
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• 2011

This paper studies a novel method to find the profit-maximizing Nash Equilibriums in allocating generation quantities with consideration of ramp-rates under competitive market environment. Each GenCo in a market participates in a game to maximize its profit through competitions and play a game with bidding strategies. In order to find the Nash equilibriums it is necessary to search the feasible combinations of GenCos' strategies which satisfy every participant's profit and no one wants various constraints. During the procedure to find Nash equilibriums, the payoff matrix can be simplified as eliminating the dominated strategies. in each time interval. Because of the ramp-rate, generator's physically or technically limits to increase or decrease outputs in its range, it can restrict the number of bidding strategies of each generator at the next stage. So in this paper, we found the Nash Equilibriums for multi-stage generation allocation game considering the ramp-rate limits of generators. In the case studies, we analyzed the generation allocation game for a 12-hour multi-stage and compared it with the results of dynamic economic dispatch. Both of the two cases were considered generator's ramp-rate effects.

• 전기학회논문지
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• 제65권7호
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• pp.1161-1168
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• 2016

Battery energy storage system(BESS) attract the attention of the power system operators with its fast response to a disturbance in spite of its limited energy capacity. This paper proposes the operating method of BESS for following the Automatic Generation Control(AGC) frequency control which is centrally distributed by a system operator. As BESS needs to just meet the control requirement from the system operator, it should be able to properly manage the state of charge(SOC) of BESS to be available to control signal. For doing these, the proposed method distributes the control requirement to available batteries in proportion to its SOC. In addition, unavailable batteries are controlled to recover the SOC to an appropriate range, and the recovering power is supplied by available batteries meeting the control requirement. Moreover, the proposed method manages the efficiency of power conversion system (PCS) by limiting the number of PCS to be assigned for the low control requirement. Finally, the case studies are carried out to verify the effectiveness of proposed strategy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권4호
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• pp.1884-1903
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• 2019

Device-to-Device (D2D) communications can provide proximity based services in the future 5G cellular networks. It allows short range communication in a limited area with the advantages of power saving, high data rate and traffic offloading. However, D2D communications may reuse the licensed channels with cellular communications and potentially result in critical interferences to nearby devices. To control the interference and improve network throughput in overlaid D2D cellular networks, a novel channel assignment approach is proposed in this paper. First, we characterize the performance of devices by using Poisson point process model. Then, we convert the throughput maximization problem into an optimal spectrum allocation problem with signal to interference plus noise ratio constraints and solve it, i.e., assigning appropriate fractions of channels to cellular communications and D2D communications. In order to mitigate the interferences between D2D devices, a cluster-based multi-channel assignment algorithm is proposed. The algorithm first cluster D2D communications into clusters to reduce the problem scale. After that, a multi-channel assignment algorithm is proposed to mitigate critical interferences among nearby devices for each D2D cluster individually. The simulation analysis conforms that the proposed algorithm can greatly increase system throughput.

• 광고학연구
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• 제28권6호
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• pp.35-54
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• 2017

최근 실무에서는 기업의 우량고객을 획득하고 유지하는 주요 판매촉진 수단의 하나로 효과적인 고객보상 프로그램의 활용에 대한 필요성이 증대되고 있다. 이러한 보상 프로그램에서 자주 활용되는 방식으로 마일리지나 포인트 제도가 있는데, 해당 프로그램의 마일리지나포인트를 누적하는 과정에서 소비자들이 실제 받게 되는 보상물보다 마일리지 및 포인트 등에집착하는 현상을 매개물 극대화(medium maximization)로 설명하고 있다. 본 연구에서는 고객보상 프로그램을 운영하는 업체의 상품과 보상물 간 상관관계가 존재할수록 노력과 보상 간 관계가 직접적으로 환기될 것으로 판단하여 매개물 효과가 사라질 수 있음을밝히고자 하였다. 실험 1의 결과, 상품과 보상물 간 관련성이 낮은 집단에서는 기존의 매개물 효과가 나타난 반면, 상품과 보상물 간 관련성이 높은 집단에서는 기존의 매개물 효과가 사라짐을확인하였다. 그리고 이러한 효과가 대안 간 가치를 비교하기 쉽고 어려움과 같은 평가용이성에의한 것이 아님을 실험 2를 통해 확인하였다. 실험 2는 매개물 정보 말고도 가격범위 정보를 제공함으로써 객관적인 가치평가가 더 용이한 상황에서도 매개물 효과가 계속 유지되는 것을 확인하였다. 이를 통해 매개물 효과의 영향력 적용범위를 확인하고 판매상품과 보상물 간 관련성이 보상물의 가치 추정 및 매개물 효과에 미치는 효과를 규명하고자 하였다. 이에 따라 기업이 효과적인보상프로그램을 설계하기 위해서는 매개물 극대화 효과가 나타나지 않는 경계조건을 유의하고, 목표에 따른 고객 보상프로그램의 차별적 설계를 가능하게끔 하는데 본 연구의 의의와 시사점이있다.