• 전자공학회논문지C
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• 제35C권7호
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• pp.92-100
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• 1998

In this paper, we suggest a new identification method for sugeno-type fuzzy model via new data clustering strategy. The suggested algorithm is much simpelr than the original identification strategy adopted in. The algorithm suggested in this paper is somewhat similar to that of [2] and [6], that is the algorithm suggested in this paper consists of two steps: coarse tuning and fine tuning. In this paper, double clustering strategy is proposed for coarse tunign. Finally, the resutls of computer simulation are given to demonstrate the validity of this algorithm.

• Journal of Power Electronics
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• 제16권3호
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• pp.1036-1045
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• 2016

This paper presents a novel control strategy for passive output filter reduction using an active output filter. The proposed method achieves the dual-function of regulating the output voltage ripple and output voltage variation during load transients. The novel control strategy allows traditional simple voltage controllers to be used, without requiring the expensive current sensors and complex controllers used in conventional approaches. The proposed method is verified with results from a 125-W forward converter.

• 경영과정보연구
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• 제5권
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• pp.185-209
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• 2000

A review of shows that past research has focused predominately on foreign market entry strategy issues in relatively well-established firms. These studies have either ignored venture firms or have failed to treat these firms separately. Only recently, researchers have broadened their search to include aspects of the foreign market investment of the venture. The purposes of this study are to identify and explain the impact factors such as ownership specific advantage, transaction cost, and location specific advantage on the choice of foreign market entry strategy for venture firms. To find the perceived the foreign market entry strategy and determinant factors, 130 venture CEOs from the computer and communications equipment industries were asked to describe their venture's foreign market entry strategy through 17 questionnaire items on competitive method. Using factor analysis, the six determinant factors were categorized. To test the relationships between the foreign market entry strategy and factors such as ownership specific advantage, transaction cost, and location specific advantage, the data collected by questionnaire from 92 ventures. The main results of this research are as follows. First, the factors of ownership specific advantage have partially significant impact on the foreign market entry strategy of venture firms, Second, the factors of transaction cost have significant impact on their foreign market entry strategy. Third, the factors of location specific advantage have significant impact on their foreign market entry strategy. This study has produced evidence to demonstrate that the foreign market entry strategy profile of venture firms can be distinguished from those of relatively well-established firms. An expanded study would allow for stronger conclusions regarding the relative explanatory power of individual variables in the method. Additional research is also needed to examine other determinant variables connecting foreign market entry strategy.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 추계학술대회 논문집 전력기술부문
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• pp.60-62
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• 2001

This paper shows the optimal bidding strategy determination method using Nash equilibrium concept by defining bidding strategy vector. This vector is 2-dimension vector whose components are generation amount and generation cost. Thereby we are able to make all possible strategies and their's payoff table. And then we erase dominated strategies one by one so that we obtain Nash equilibrium, the optimal bidding strategy of generation bidding game.

• 지식경영연구
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• 제8권2호
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• pp.1-16
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• 2007

This paper describes the Blue Ocean Strategy and Business TRIZ (Russian Theory of Inventive Problem Solving) Tactics as one method for knowledge creation and innovation. The opening new market avoiding keen competition is very popular recently and is not just prosper, but survival problem. As one new strategy for finding new market, the Blue Ocean Strategy gives the big blueprint for new market, but has no enough tools to make more concrete ideas. In this paper, we suggest using the Strategy Campus and other tools in the Blue Ocean Strategy at initial stage and then, compensating the TRIZ principles to make more concrete ideas for new market as tactics. We applied it to find the new market for conventional newspaper industry and EBS (Education Broadcast System) management innovation in Korea as case studies and got better results comparing to using only the Blue Ocean Strategy.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.305-308
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• 1997

The on-line calculation method is developed to obtain the temperature trajectory that brings the reactants to the desired state in batch styrene polymerization reactor. The temperature trajectory is obtained by applying the moments of the polymer concentration to the 2-step calculation method. The computer simulation is also carried out to verify the superiority of the on-line method to the off-line one. When a temperature disturbance of constant size is introduced, the off-line results shows considerable deviation from the target degree of polymerization. The on-line strategy set up a new trajectory to reach the desired state by using the current state of the reactor. Therefore, the on-line strategy deals with the changes of the system more adequately than the off-line strategy.

• 한국지능시스템학회논문지
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• 제11권7호
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• pp.591-597
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• 2001

In this paper, we propose a method of cooperative control (T-cell modeling) and selection of group behavior strategy (B-cell modeling) based on immune system in distributed autonomous robotic system (DARS). Immune system is living body's self-protection and self-maintenance system. These features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For applying immune system to DARS, a robot is regarded as a B-cell, each environmental condition as an antigen, a behavior strategy as an antibody and control parameter as a T-cell respectively. The executing process of proposed method is as follows. When the environmental condition changes, a robot selects an appropriate behavior strategy. And its behavior strategy is stimulated and suppressed by other robot using communication. Finally much stimulated strategy is adopted as a swarm behavior strategy. This control school is based on clonal selection and idiotopic network hypothesis. And it is used for decision making of optimal swarm strategy. By T-cell modeling, adaptation ability of robot is enhanced in dynamic environments.

• 한국지하수토양환경학회지:지하수토양환경
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• 제25권4호
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• pp.87-97
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• 2020

In this study, the applicability of the geostatistical evolution strategy as an inverse analysis method of estimating hydraulic properties of small-scale basin was tested. The geostatistical evolution strategy is a type of data assimilation method that can effectively estimate aquifer hydraulic conductivity by combining a global optimization model of the evolution strategy and a local optimization model of the ensemble Kalman filtering. In the applicability test, the geometry, hydraulic boundary conditions, and the distribution of groundwater monitoring wells of Hanlim-Eup were employed. On the other hand, a synthetic hydraulic conductivity distribution was generated and used as the reference property for ease of estimation quality assessment. In the estimations, two different cases were tested where, in Case I, both groundwater levels and hydraulic conductivity measurements were assumed to be available, and only the groundwater levels were available, in Case II. In both cases, the reference and estimated hydraulic conductivity fields were found to show reasonable similarity, even though the prior information for estimation was not accurate. The ability to estimate hydraulic conductivity without accurate prior information suggests that this method can be used effectively to estimate mathematical properties in real-world cases, many of which little prior information is available for the aquifer conditions.

• 전력전자학회논문지
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• 제21권3호
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• pp.238-248
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• 2016

In this study, an automatic command mode transition strategy of direct power control (DPC) is proposed for permanent magnet synchronous generators (PMSGs) medium-voltage (MV) offshore wind turbines (WTs). Benchmarking against the control methods are performed based on a three-level neutral-point-clamped (NPC) back-to-back type voltage source converter (VSC). The ramping rate criterion of complex power is utilized to select the switching vector in DPC for a three-level NPC converter. With a grid command and an MPPT mode transition strategy, the proposed control method automatically controls the generated output power to satisfy a grid requirement from the hierarchical wind farm controller. The automatic command mode transition strategy of DPC is confirmed through PLECS simulations based on Matlab. The simulation result of the automatic mode transition strategy shows that the proposed control method of VOC and DPC achieves a much shorter transient time of generated output power than the conventional control methods of MPPT and VOC under a step response. The proposed control method helps provide a good dynamic performance for PMSGs MV offshore WTs, thereby generating high quality output power.

• 정보교육학회논문지
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• 제21권6호
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• pp.657-664
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• 2017

본 연구는 소프트웨어 교육의 방법으로 놀이중심 SW교육 교수학습전략이 컴퓨팅 사고력 신장에 미치는 영향을 살펴보기 위한 것이다. 놀이중심 SW교육 교수학습전략은 주어진 컴퓨터 코드를 놀이 과정을 통하여 구체화하는 노력을 한 뒤 기능을 수정하고 새롭게 재구성하는 수업 전략이다. 우선 놀이중심 SW교육 교수학습전략을 적용한 교육 프로그램을 설계하여 초등학생들에게 투입하였다. 연구의 효과성을 검증하기 위하여 컴퓨팅 사고 개념과 컴퓨팅 사고 실습의 역량검사를 분석한 결과, 제안된 교수학습전략이 직접교수법보다 효과적이었으며 컴퓨팅 사고에 긍정적인 결과를 가져온 것으로 확인되었다.