• 대한전자공학회논문지TC
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• 제44권10호
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• pp.178-184
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• 2007

공간상의 전자파 전파에서 모든 각도에서 동일한 전송속도를 갖는 ADI-FDTD 해석방법을 제안한다. 이는 기존의 ADI-FDTD 방법에서 시간 간격의 2차항에 x, y 에 공간 미분이 곱해진 항을 추가하고, 이에 대한 최적의 상수를 구하여 구현 하였다. 새로운 ADI-FDTD 는 CFL 안정도 조건을 초과하는 시간 간격에 대해서도 안정적인 특성을 나타낸다. 이 방법에 대한 분산 관계식을 구한 후 이를 수치적인 결과와 비교하여 제안하는 방법이 기존의 방법에 비해서 나타나는 장점, 즉 등방성 전파 및 수치적 오차의 감소를 수치적 예를 통하여 검증하였다.

• Earthquakes and Structures
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• 제5권3호
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• pp.261-276
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• 2013

Oil, hysteretic and inertial mass dampers are representatives of passive dampers used for smart enhancement of seismic performance of building structures. Since oil dampers have a nonlinear relief mechanism and hysteretic dampers possess nonlinear restoring-force characteristics, several difficulties arise in the evaluation of buildings including such dampers. The purpose of this paper is to propose a practical method for simultaneous optimal use of such dampers. The optimum design problem is formulated so as to minimize the maximum interstory drift under design earthquakes in terms of a set of damper quantities subject to an equality constraint on the total cost of dampers. The proposed method to solve the optimum design problem is a successive procedure which consists of two steps. The first step is a sensitivity analysis by using nonlinear time-history response analyses, and the second step is a modification of the set of damper quantities based upon the sensitivity analysis. Numerical examples are conducted to demonstrate the effectiveness and validity of the proposed design method.

• Asian-Australasian Journal of Animal Sciences
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• 제21권6호
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• pp.896-902
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• 2008

The objective of this research was to create a new probiotic candy with good flavor and healthy benefits by using the response surface method and a sequential quadratic programming technique. The endpoint was to increase the varieties of dairy products and enhance their market values. In this study, milk was mixed with yogurt cultures (Lactobacillus bulgaricus, Streptococcus thermophilus) and probiotics (L. paracasei, Bifidobacterium longum) and incubated at $37^{\circ}C$ for 20 h. The samples were blended with lyoprotectants (galactose, skim milk powder and sucrose), freeze dried and then mixed with sweeteners (lactose and xylitol) to improve the texture for forming tablets. The processing conditions were optimized in two steps: the first step constructed a surface model using response surface methodology; the second step optimized the model with a sequential quadratic programming procedure. Results indicated that skim milk inoculated with L. delbrueckii subsp. Bulgaricus, S. thermophilus, L. paracasei subsp. paracasei and B. longum and blended with 6.9% of galactose, 7.0% of sucrose and 8.0% of skim milk powder would produce a new probiotic candy with the highest viability of probiotics and good flavor. A relatively higher survival of probiotics can be achieved by placing the probiotic candy product in a glass bottle with deoxidant and desiccant at $4^{\circ}C$. These probiotic counts remained at 106-108 CFU/g after being stored for two months.

• 토지주택연구
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• 제1권1호
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• pp.1-7
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• 2010

Case-based reasoning (CBR) method can make estimators understand the estimation process more clearly. Thus, CBR is widely used as a methodology for cost estimation. In CBR, the quality of case retrieval affects the relevance of retrieved cases and hence the overall quality of the reminding capability of CBR system. Thus, it is essential to retrieve relevant past cases for establishing a robust CBR system. Case retrieval needs the following tasks to obtain appropriate case(s); indexing, search, and matching (Aamodt and Plaza 1994). However, the previous CBR researches mostly deal with matching process that has limits such as accuracy and efficiency of case retrieval. In order to address this issue, this research presents a CBR cost model for building projects that has two-step retrieval process: decision tree and nearest neighbor methods. Specifically, the proposed cost model has indexing, search and matching modules. Features in the model are divided into shape-based and scale-based attributes. Based on these, decision tree is established for facilitating the search task and nearest neighbor method was utilized for matching task. In regard to applying nearest neighbor method, attribute weights are assigned using GA optimization and similarity is calculated using the principle of distance measuring. Thereafter, the proposed CBR cost model is developed using 174 cases and validated using 12 test cases.

• Journal of Information Technology Applications and Management
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• 제30권6호
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• pp.91-111
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• 2023

This study aims to identify the influencing factors of intention to use cloud services using the SEM-ANN two-step approach. In previous studies of SEM-ANN, SEM presented R² and ANN presented MSE(mean squared error), so analysis performance could not be compared. In this study, R² and MSE were calculated and presented by SEM and ANN, respectively. Then, analysis performance was compared and feature importances were compared by sensitivity analysis. As a result, the ANN default model improved R² by 2.87 compared to the PLS model, showing a small Cohen's effect size. The ANN optimization model improved R² by 7.86 compared to the PLS model, showing a medium Cohen effect size. In normalized feature importances, the order of importances was the same for PLS and ANN. The contribution of this study, which links structural equation modeling to artificial intelligence, is that it verified the effect of improving the explanatory power of the research model while maintaining the order of importance of independent variables.

• 한국콘텐츠학회논문지
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• 제10권4호
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• pp.10-18
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• 2010

본 논문에서는 유전자알고리즘을 이용한 시그모이드 활성화 함수 파라미터의 최적화와 이중나선기준문제(two spirals benchmark problem)의 입력공간 패턴인식 상태를 분석 한다. 실험을 위하여 캐스케이드 코릴레이션 학습 알고리즘(Cascade Correlation learning algorithm)을 이용한다. 첫 번째 실험에서는 기본적인 시그모이드 활성화 함수를 사용하여 이중나선 문제를 분석하고, 두 번째 실험에서는 시그모이드 활성화 함수(sigmoidal activation function)의 파라미터 값이 서로 다른 함수를 사용하여 8개의 풀을 구성한다. 세 번째 실험에서는 시그모이드 함수의 변위를 결정하는 세 개의 파라미터 값을 유전자 알고리즘을 이용하여 얻고 이 파라미터 값들이 적용된 시그모이드 함수들은 후보뉴런의 활성화를 위해서 사용된다. 이러한 알고리즘의 성능평가를 위하여 각 학습단계 마다 입력패턴공간에서 인식된 이중나선의 형태를 보여준다.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2002년도 Proceedings
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• pp.146-149
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• 2002

The aim of stereotactic radiosurgery(SRS) is to deliver a high dose to a target region and a low dose to critical organ through only one or a few irradiation. To satisfy this aim, optimized irradiating conditions must be searched in the planning. Thus, many mathematical methods such as gradient method, simulated annealing and genetic algorithm had been proposed to find out the conditions automatically. There were some limitations using these methods: the long calculation time, and the difficulty of unique solution due to the different shape of tumor. In this study, optimization protocol using ideal models and data base was proposed. Proposed optimization protocol constitutes two steps. First step was a preliminary work. Some possible ideal geometry shapes, such as sphere, cylinder, cone shape or the combination, were assumed to approximate the real tumor shapes. Optimum variables such as isocenter position or collimator size, were determined so that the high dose region could be shaped to fit ideal models with the arrangement of multiple isocenter. Data base were formed with those results. Second, any shaped real targets were approximated to these models using geometry comparison. Then, optimum variables for ideal geometry were chosen from the data base predetermined, and final parameters were obtained by adjusting these data. Although the results of applying the data base to patients were not superior to the result of optimization in each case, it can be acceptable as a starting point of plan.

• 한국의학물리학회지:의학물리
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• 제13권4호
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• pp.181-186
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• 2002

세기조절 방사선 치료는 각각의 치료계획 시스템의 도스 최적화 알고리즘과 선형 가속기의 조합에 따라 다양하게 최적의 성능을 발휘 할 수 있다. 연세 암센터는 효과적인 방사선치료를 위하여 2002년 2월에 세기조절 방사선 치료 시스템을 도입하여 운영 중에 있으며 도입된 시스템은 CORVUS (Nomos, 미국) 치료계획 시스템과 LANTIS, PRIMEVIEW, PRIMART (Siemens, 미국)의 선형가속기 시스템으로 구성되어 있다. 최적화된 치료를 위해서는 CORVUS 치료계획기와 PRIMART 선형가속기의 적절한 조합 조건을 찾아 적용하는 것이 중요한 일이다. 이 Step ＆ Shoot 방식의 세기조절 방사선 치료기는 Finite Size Pencil Beams (FSPB) 도스모델과 simulated annealing method의 도스 최적화 알고리즘 및 IMFAST의 segmentation 알고리즘을 사용하고 있다. 본 연구는 segmentation 알고리듬에 관한 것으로 두개의 기본 beamlet 크기(1.0$\times$1.0 $\textrm{cm}^2$ 와 0.5$\times$1.0$\textrm{cm}^2$)와 4가지의 빔 세기 단계(5%, 10%, 20%, 33%)의 option을 4명의 상이한 환자 case에 대하여 적용하고 비교해 보았다. 상대적으로 작은 target 부피를 갖는 경우 TPS상의 segmentation의 설정에 민감하게 target 도스분포가 변하였으며 작은 beamlet일수록 intensity step을 작게 할수록 최적의 도스분포를 보여주었다.

• 경영과학
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• 제15권2호
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• pp.125-142
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• 1998

The aggregation on linear large-scale dynamic systems is examined in this paper and a "two-step" approach is proposed. In this procedure, the aggregated system consists of two subsystems. The first subsystem represents aggregation through the retainment of dominant eigenvalues of the original system, leading to a first approximation of the desired output of the original system. The purpose of augmenting it with a second subsystem is to provide an estimation of the error on the first approximation, thus permitting a second correction to the output approximation and resulting in an output approximation of greater accuracy. Optimization techniques are discussed for the determination of unknown parameters in the aggregated system. These techniques use minimization principles of certain suitable performance indices and are developed for both single input-single output and multiple input-multiple output system. Numerical examples illustrating these procedures are given and the results are compared with those obtained using existing methods. Finally, a pharmacokinetics problem is studied from the aggregation point of view.

• Journal of Electrical Engineering and Technology
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• 제12권5호
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• pp.2043-2050
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• 2017

This paper presents two MPC (Model Predictive Control) based charging and discharging algorithms of BESS (Battery Energy Storage System) for capacity firming of wind generation. To deal with the intermittency of the output of wind generation, a single BESS is employed. The proposed algorithms not only make the output of combined systems of wind generation and BESS track the predefined reference, but also keep the SoC (State of Charge) of BESS within its physical limitation. Since the proposed algorithms are both presented in simple if-then statements which are the optimal solutions of related optimization problems, they are both easy to implement in a real-time system. Finally, simulations of the two strategies are done using a realistic wind farm library and a BESS model. The results on both simulations show that the proposed algorithms effectively achieve capacity firming while fulfilling all physical constraints.