• International journal of advanced smart convergence
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• 제13권2호
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• pp.88-93
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• 2024

The main problem with existing edge detection techniques is that they have many limitations in detecting edges for complex and diverse images that exist in the real world. This is because only edges of a defined shape are discovered based on an accurate definition of the edge. One of the methods to solve this problem is the cost minimization method. In the cost minimization method, cost elements and cost functions are defined and used. The cost function calculates the cost for the candidate edge model generated according to the candidate edge generation strategy, and if the cost is found to be satisfactory, the candidate edge model becomes the edge for the image. In this study, we proposed an enhanced candidate edge generation strategy to discover edges for more diverse types of images in order to improve the shortcoming of the cost minimization method, which is that it only discovers edges of a defined type. As a result, improved edge detection results were confirmed.

• KIEE International Transactions on Power Engineering
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• 제12A권1호
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• pp.31-35
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• 2002

This paper presents a new operation scheme of UPFC to minimize both generation costs and active power losses in a normal operation state of power system. In a normal operation, cost minimization is a matter of primary concern among operating objectives. This paper considers two kinds of costs, generation costs and transmission losses. The total generation cost of active powers can be minimized by optimal power flow, and active power losses in the transmission system can be also minimized by power flow control of UPFC incorporated with minimization of generation costs. In order to determine amounts of active power reference of each UPFC required for the cost minimization, an iterative optimization algorithm based on the power flow calculation using the decoupled UPFC model is proposed. For verification of the proposed method, intensive studies have been performed on a 3-unit 6-bus system equipped with a UPFC.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2000년도 추계학술대회 논문집
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• pp.68-76
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• 2000

Reliable external cost must be estimated to achieve the optimal market share between transportation modes. In this paper, we determined the market share between railroad and road on the cost minimization base. The results show that optimal market share is achieved by increasing investment on railroad.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2003년도 학술대회논문집
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• pp.289-290
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• 2003

This paper gives a method for the minimization of the fuel cost by optimal generation. Derivation of the sensitivity of system loss by optimization technique is introduced and the loss sensitivities are substituted into the optimality conditions to obtain the minimized fuel cost.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1993년도 가을 학술발표회논문집
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• pp.216-223
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• 1993

The safety factors of current standard code are considered to be not appropriate compared to design and construction practices, even this safety factors are not determined from probabilistic study but merely from experiences and practices. This study pripose the optimum safety indices based on expected total cost minimization using only three parameters, which are the level of the failure cost to the initial cost by improvement in safety, and the order of the initial cost function.

• International journal of advanced smart convergence
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• 제9권2호
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• pp.157-163
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• 2020

Recently the blockchain technology has been actively studied due to its great potentiality. The smart contract is a key mechanism of the blockchain system. Due to the short history of the smart contract, many issues have not been solved yet. One main issue is vulnerability and another main issue is cost optimization. While the vulnerability of smart contract has been actively studied, the cost optimization has been rarely studied. In this paper, we propose two cost optimization methods for smart contracts running on the blockchain system. Triggering a function in a smart contract program code may require costs and it is repeated continuously. So the minimization of costs required to trigger a function of smart contract while maintaining the performance equally is very important. The proposed two methods minimize the usage of expensive permanent variables deployed on the blockchain system. We apply the proposed two methods to three prevalent blockchain platforms: Ethereum, Klaytn and Tron. Evaluation experiments verify that the proposed scheme significantly reduces the costs of functions in the smart contract written with Solidity.

• 조명전기설비학회논문지
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• 제19권1호
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• pp.40-43
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• 2005

동일한 부하조건에서 발전기 출력을 적절히 분담하여 발전 연료비를 절감하는 일은 계통운용상 매우 중요하다. 본 논문은 최적화 기법을 이용하여 구한 발전기의 손실감도를, 기존의 유무효전력 최적조건식에 대입하여, 연료비를 최소화하기 위한 최적 발전력 배분을 구하는 방법을 제안한다. 간단한 모형 시스템을 예로 들어 제시한 방법의 적용 결과를 도시한다.

• 한국통신학회논문지
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• 제36권6B호
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• pp.738-743
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• 2011

본 고에서는 각 센서에 필요한 에너지를 공급하는 장치를 포함한 센서 네트워크 시스템을 고려하고, 에너지 공급 장치의 설치 및 운용 비용을 최소화하는 방법을 제안한다. 센서와 에너지 공급원이 정방형으로 배치되는 구조하에서 센서 노드의 밀도, 에너지 공급장치당 센서 노드 커버 범위 등에 따라 에너지 공급 장치의 설치 및 운용비용을 함수화한다. 또한 주어진 센서 노드밀도 환경에서 총 비용을 최소화하는 에너지 공급장치당 센서 노드 커버 범위를 결정하여 에너지 공급장치가 포함한 센서 네트워크의 배치를 최적화한다. 모의 실험을 통해 기존 방법에 비해 제안된 방법이 약 19%의 센서 네트워크 비용을 절감하는 효과를 가짐을 보인다.

• 한국정보처리학회논문지
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• 제3권2호
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• pp.348-358
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• 1996

범용성을 지닌 문자 영역의 추출을 위해서는 대상화상에 의존하지 않는 정보를 활용 할 필요가 있다. 본 논문에서는 문장영역의 추출문제를 코스트 최소화 개념으로 접근 하여, 문자의 일반적 특징들을 종합적으로 고려하는 결과를 얻을 수 있는 범용성을 띤 영역추출방법을 제안한다. 구체적으로는, 문자의 형상과 배치에 관한 규칙성을 구하고자 하는 해에 대한 조건으로 설정, 그조건을 충족시키는 해가 최소값을 갖는 코스트 함수로 도입하고, 이 함수를 Simulated Annealing법에 의해 최소화하여 영역추출을 한다. 본 방법은 코스트 함수를 정의한다는 점에서 다른 방법과 확연한 차별성을 갖는다. 본 코스 트 함수를 이용한 영역 추출실험 결과, 실험가설에 부합되는 결론을 얻어 제안방법의 유효 성이 확증되었다.

• 동력기계공학회지
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• 제2권3호
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• pp.60-67
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• 1998

Edge detection is the first step and very important step in image analysis. We cast edge detection as a problem in cost minimization. This is achieved by the formulation of a cost function that evaluates the quality of edge configurations. The cost function can be used as a basis for comparing the performances of different detectors. This cost function is made of desirable characteristics of edges such as thickness, continuity, length, region dissimilarity. And we use a simulated annealing algorithm for minimum of cost function. Simulated annealing are a class of adaptive search techniques that have been intensively studied in recent years. We present five strategies for generating candidate states. Experimental results(building image and test image) which verify the usefulness of our simulated annealing approach to edge detection are better than other operator.