• 한국의학물리학회지:의학물리
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• 제20권1호
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• pp.14-20
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• 2009

본 연구에서는 복부 전용 팬톰을 이용하여 폐 종양을 모델로 실시간 종양 추적 치료 시 종양에 대한 선량 분포와 종양 부근에 인접하여 상대적으로 움직임이 작은 주요장기인 척추의 선량 분포를 3차원과 4차원 전산화 치료계획을 통하여 나타난 선량분포에 대하여 Gafchromic 필름을 이용하여 선량을 비교평가 하였다. 비교 결과 종양의 선량 분포는 감마 지표 3%, 1 mm를 기준으로 일치도가 3차원 및 4차원에서 각각 90.6%, 97.64%이었고, 척추에서는 감마 지표 3%, 2 mm를 기준으로 3차원 및 4차원에서 각각 57.13%, 90.4%로 나타났다. 종양 및 척추에서 4차원 전산화치료계획 계산값은 측정값과 비교할 경우 근소한 차이를 보였으나 3차원 전산화 치료계획 시 종양에 근접하여 움직임이 작은 척추에서는 계산값과 측정값의 차이가 크게 나타났다. 따라서 사이버나이프와 같은 장비를 이용하여 호흡에 따라 움직이는 종양을 대상으로 실시간 종양추적 치료 시 4차원 전산화 치료계획이 반드시 필요하다고 사료된다.

• 대한산업공학회지
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• 제12권1호
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• pp.55-61
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• 1986

Mathematical forecasting models and a practical computer based forecasting system are developed for planning production in a manufacturing and distribution network. The forecasting system works at the highest level of a hierarchical computer-based decision support system consisting of the forecasting system, an aggregate planning system and a shop floor scheduling system. The dynamics of business operations for an actual company have been considered to make this study a unique comprehensive analysis of a real world forecasting problem.

• 한국전자거래학회지
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• 제7권2호
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• pp.143-156
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• 2002

The objective of supply chain planning is to satisfy the requirements for minimizing inventory costs, transportation costs, and lead times throughout the supply, production and distribution stage dispersed geographically. Therefore, the supply chain planning system should have functionalities to resolve complex optimization problems that have characteristics of multi-stage and multi-product. Ant the system should also support collaborative decision making among distributed business partners. In this study, we proposed a distributed architecture for the supply chain planning system. To do this, we analyzed functional requirements by using IDEF-0(ICAM Definition-0) methodology, defined required components, and designed each component by using object-oriented methodology. We implemented a prototype system based on CORBA (Common Object Request Broker Architecture) to show that the proposed distributed architecture based on component technology is feasible and can solve supply chain planning problem collaboratively.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 16-17 Oct. 1987
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• pp.619-624
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• 1987

A study on distribution automation system suitable to distribution system of KEPCO has started since 1984, and the field trial system for ADS will be operated for testing. This paper will describe project and planning for field trial of KEPCO.

• 에너지공학
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• 제14권3호
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• pp.167-172
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• 2005

본 연구에서는 가치에 기반을 두고 배전시스템을 계획할 수 있는 방법을 제시하였다. 우선, 신뢰도를 평가하기 위하여 VBDRA를 도입하였으며, 고조파를 평가하기 위하여 한계가격기법을 도입하였다. 그리고, 신뢰도비용, 고조파비용, 건설비용을 사용하여 가장 경제적인 대체안을 결정을 할 수 있도록 하였다. 제안한 방법을 실제시스템에 적용하여 그 유용성을 입증하였다.

• 한국산림과학회지
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• 제76권4호
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• pp.390-396
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• 1987

지역삼림계획에 있어서 목재생산을 예측하는 모델을 작성하고 그 계산예를 제시하였다. 목재생산예측의 방법으로서 감은율법(減殷率法)이 이용되고 있다. 령목(鈴木)는 감마분포에 의해서 삼림의 수명을 결정하지만 본 예측 모델에서는 현재 삼림의 수명분포로서 적당하다고 생각되는 와이블분포나 감마분포 중 어느쪽을 사용해서라도 목재생산을 예측할 수 있도록 시스템화 하였다. 본 시스템을 분기별 수확량, 축적량, 노동량 등의 경영정보를 제공하게 되며 지역삼림계획 책정에 있어 유효한 수단으로 이용될 수 있을 것이다.

• Journal of Electrical Engineering and Technology
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• 제9권6호
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• pp.2042-2048
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• 2014

In medium voltage electrical distribution networks, reforming the loss reduction is important, and in line with this, the issue of system engineering and use of proper equipment Expansion of distribution systems results in higher system losses and poor voltage regulation. Therefore, an efficient and effective distribution system has become more important. So, proper selection of conductors in the distribution system is crucial as it determines the current density and the resistance of the line. Evaluation of aging conductors for losses and costs imposed in addition to the careful planning of technical and economic networks can be identified in the network design. In this paper the use of imperialist competitive algorithm; genetic algorithm; is proposed to optimal branch conductor selection and reconstruction in radial distribution systems planning. The objective is to minimize the overall cost of annual energy losses and depreciation on the cost of conductors to improve productivity given the maximum current carrying capacity and acceptable voltage levels. Simulations are carried out on 69-bus radial distribution network using genetic algorithm approaches to show the accuracy as well as the efficiency of the proposed solution technique.

• Management Science and Financial Engineering
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• 제17권2호
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• pp.1-21
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• 2011

This paper considers an integrated inventory-distribution system with a fleet of heterogeneous vehicles employed where a single warehouse distributes a single type of products to many spatially distributed retailers to satisfy their dynamic demands. The problem is to determine order planning at the warehouse, and also vehicle schedules and delivery quantities for the retailers with the objective of minimizing the sum of ordering cost at the warehouse, inventory holding cost at both the warehouse and retailers, and transportation cost. For the problem, we give a Mixed Integer Programming formulation and develop a Lagrangean heuristic procedure for computing lower and upper bounds on the optimal solution value. The Lagrangean dual problem of finding the best Lagrangrean lower bound is solved by subgradient optimization. Computational experiments on randomly generated test problems showed that the suggested algorithm gives relatively good solutions in a reasonable amount of computation time.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 추계학술대회 논문집 학회본부 A
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• pp.232-235
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• 1999

This paper presents a HNN(Hopfield Neural Network) model to solve the ORP(Optimal Routing Problem) in DSP(Distribution System Planning). This problem is generally formulated as a combinatorial optimization problem with various equality and inequality constraints. Precedent study[3] considered only fixed cert, but in this paper, we proposed the capability of optimization by fixed cost and variable cost. And suggested the corrected formulation of energy function for improving the characteristics of convergence. The proposed algorithm has been evaluated through the sample distribution planning problem and the simmulation results are presented.

• Journal of Electrical Engineering and Technology
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• 제8권1호
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• pp.1-10
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• 2013

The power industry is currently facing many challenges, due to the new environment created by the introduction of smart grid technologies. In particular, the large-scale deployment of electric vehicles (EVs) may have a significant impact on demand for electricity and, thereby, influence generation and transmission system planning. However, it is difficult to deal with uncertainties in EV charging loads using deterministic planning methods. This paper presents a two-stage stochastic decomposition method with Latin-hyper rectangle sampling (LHRS) to solve the integrated generation and transmission planning problem incorporating EV deployment. The probabilistic distribution of EV charging loads is estimated by Latin-hyper rectangle sampling (LHRS) to enhance the computational performance of the proposed method. Numerical results are presented to show the effectiveness of the proposed method.