• 한국건설관리학회논문집
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• 제8권1호
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• pp.66-77
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• 2007

2001년 4월 정부의 전력산업 구조개편으로 한국전력공사는 한국수력 원자력과 5개 화력발전사로 분할되었다. 이후 공기업 민영화를 위한 각 발전회사들 간의 경쟁체제에 따라 적극적인 수익창출을 위하여 다양한 발주방식 도입, 적용하고 있다. 하지만, 화력발전소 건설사업은 발주자의 사업목표나 프로젝트의 특성을 제대로 반영하지 못한 채 발주방식을 선정함으로써 프로젝트 참여자들을 만족시키지 못하고 있는 실정이다. 본 연구는 화력발전소 건설사업에서의 발주방식을 선정하기 위해서 고려해야 할 영향요인들을 조사하고 설문 및 면담조사를 통하여 적정한 발주방식의 선정기준을 개발함으로써 발주자의 사업목표에 맞는 발주방식을 선정할 수 있는 모형을 구축하는 것을 목적으로 한다. 향후 본 연구에서 제안한 발주방식 선정모형을 활용하면 주관적이고 경험적인 판단에 의존하여 발주방식을 결정했던 기존의 관행을 벗어나 발주자의 사업목표, 발주자의 특성 및 요구조건, 건설사업의 특성 등을 효과적으로 반영하여 화력발전소 건설사업의 적정한 발주방식을 선정할 수 있을 것으로 기대된다.

• 한국조경학회지
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• 제20권2호
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• pp.119-126
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• 1992

The purpose of this study is to develop the allocation method which could be applied to the transitional stage between analysis and synthesis to select the best alternative in landscape planning process. By using the matrix of alternatives with site-planning elements locational drawing in each, the combinational allocation method can make the process more rational and also more efficient. Hand-drawn map overlay technique accommodates the work I handy way. The method is useful in building conceptual scheme in landscape planning especially when it is applied to small scale project.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 I
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• pp.53-56
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• 2003

In order to enhance the system capacity of multi rate IEEE 802.11 WLAN, we propose the transmission rate select method using the control frame in this paper. The transmission rate is selected dynamically based on the RSSI(Received Signal Strength Indicator) of received control frame. And we also propose the Enhanced NAV Update method for Fragmented MPDU burst transmission in multirate WLAN environment. This method can improve the system capacity by support the burst transmission of fragmented MPDU.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1998년도 봄 학술발표회 논문집
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• pp.254-261
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• 1998

This study presents a discrete optimization of tall steel buildings under multiple drift constraints using a dual method. Dual method can replace the primary optimization problem with a sequence of approximate explicit subproblems. Since each subproblem is convex and separable, it can be efficiently solved by using a dual formulation. Specifically, this study considers the discrete-optimization problem due to the commercial standard steel sections to select member sizes. The results by the proposed method will be compared with those of the conventional optimality criteria method

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 1999년도 추계학술대회 논문집
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• pp.181-185
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• 1999

In this paper, we apply AHP method to select long range technology alternative for KEPCO. The input data was gathered by the questionnaire surveys answered by experts. The effectiveness and validity of the method were tested by comparing the results with those of the current selection procedure. We show that the proposed method can outperform the current method and can applied to the real decision making process of the electric power company.

• 디지털산업정보학회논문지
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• 제4권3호
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• pp.91-95
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• 2008

In this paper, a method for providing musics in vehicle user's bio-rhythm is proposed. The proposed method is a method to select and play musics automatically suitable for the user's emotion. Experimental results confirmed that the proposed method could provide better satisfaction to the users (drivers) compared to the methods given randomly.

• 산업공학
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• 제13권2호
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• pp.166-170
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• 2000

In this paper, we apply AHP method to select long range technology alternatives for KEPCO. The input data was gathered by the questionnaire surveys answered by experts. The effectiveness and validity of the method were tested by comparing the results with those of the current selection procedure. We show that the proposed method can outperform the current method and can be applied to the real decision making process of the electric power company.

• Journal of Power Electronics
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• 제19권2호
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• pp.344-352
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• 2019

To achieve high efficiency and reliability, multiphase interleaved converters with coupled inductors have been widely applied. In this paper, a coupled inductor design method for 2-phase interleaved boost converters is presented. A new area product equation is derived to select the proper core size. The wire size, number of turns and air gap length are also determined by using the proposed coupled inductor design method. Finally, the validity of the proposed coupled inductor design method is confirmed by simulation and experimental results obtained from a design example.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.799-802
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• 1997

This paper deals with a new method to derive the Generalized Jacobian Matrix of a space robot. In a conventional method to derive the Generalized Jacobian Matrix, generalized coordinates select Joint angles and a space robot body's position and attitude angle. But, in this paper, we select position and attitude angle of the end-effector or the handled floating object as generalized coordinates. Then, we can derive the Generalized Jacobian Matrix of the system which consists of several space robots and a handled floating object. Moreover control methods operated by only one space robot can be easily extended to the cases of cooperation task by several space robots. Computer simulations show that the Generalized Jacobian Matrix derived here is effective.

• 한국건축시공학회지
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• 제11권3호
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• pp.238-246
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• 2011

Choosing the best-performance materials is a crucial task for the successful completion of a project in the construction field. In general, the process of material selection is performed through the use of information by a highly experienced expert and the purchasing agent, without the assistance of logical decision-making techniques. For this reason, the construction field has considered various artificial intelligence (AI) techniques to support decision systems as their own selection method. This study proposes the application of a systematic and efficient support vector machine (SVM) model to select optimal exterior materials. The dataset of the study is 120 completed construction projects in South Korea. A total of 8 input determinants were identified and verified from the literature review and interviews with experts. Using data classification and normalization, these 120 sets were divided into 3 groups, and then 5 binary classification models were constructed in a one-against-all (OAA) multi classification method. The SVM model, based on the kernel radical basis function, yielded a prediction accuracy rate of 87.5%. This study indicates that the SVM model appears to be feasible as a decision support system for selecting an optimal construction method.