• Transactions of the Korean Society of Automotive Engineers
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• v.12 no.5
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• pp.85-93
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• 2004

Electric vehicle body has to be subjected to uniform load and requires auxiliary equipment such as air pipe and electric wire pipe. Especially, the cross beam supports the weight of passenger and electrical equipments. This need to use adaptive design in initial design stage to gain economy through interchangeability between many kinds of components. This study performs the topology optimization by the concept of homogenization based on optimality criteria method which is efficient for the problem with a number of boundary condition and design variable. Therefore this provides the method to determine the optimum position and the shape of circular hole in the cross beam and then can achieve the weight minimization of electric vehicle body.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.36 no.3
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• pp.195-201
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• 2000

This paper discusses methods for the stable bottom detection and the optimum bottom offset which enable to separate the fish echoes from the bottom echoes with echo integration of demersal fish. In preprocessing of the echo signal, the bottom detection has to be done stably against the fluctuation of echo level and the bottom offset has to be set to a minimum height such that near bottom fish echoes are included Two methods of bottom detection, namely echo level threshold method and maximum echo slope method were compared and analyzed. The echo level method works well if the ideal threshold level was given but it sometimes misses the bottom because of the fluctuation of the echo. Another method to detect the bottom which uses maximum echo slope indicates the simple and stable bottom detection. In addition, the bottom offset has to be set near to the bottom but not to include the bottom echo. Optimum bottom offset should be set a few samples before the detected bottom echo which relates the beginning of pulse shape and acoustic beam pattern to the bottom feature.

• Composites Research
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• v.33 no.6
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• pp.353-359
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• 2020

In this work, a contour-based section analysis method incorporating the use of Bézier curves is attempted for the construction of optimal structural design framework of composite helicopter blades. The suggested section analysis method is able to analyze composite blades with solid cores made of arbitrary materials and geometric shapes. The contour-based section analysis method is integrated into a blade structural optimization framework to confirm the efficiency of the present approach. The numerical simulation result demonstrates that the optimized blade configurations are obtained with a reduction in mass by 52%, compared to the baseline blade. For the structural optimization of composite blades with 19 subsections, it takes about one hour for the successful optimization while satisfying all the design constraints considered in this study, which reveals the efficiency of the present approach.

• Journal of Korean Society of Environmental Engineers
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• v.22 no.4
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• pp.699-712
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• 2000

Juam lake is a major water resource for the industrial and agricultural activities as well as the resident life of Kwangju and Chonnam regions. However, the water quality of the lake is getting worse due to a large quantity of pollutant inflowing to the lake. Thus, the strategy for achieving the water quality goal of the lake should be developed as soon as possible. When there are various alternatives that can be used as the strategy, several criteria based on the achievement degree of water quality goal, the applicability of technique and social environment, and the reasonableness of the cost required are made to evaluate and rank the alternatives. However, it is difficult to make a decision when there are multiple criteria and conflicting objectives and specifically the estimated values of criteria contain elements of uncertainty. The uncertainty stems from the lack of available information, the randomness of future situation, and the incomplete knowledge of expert. As the degree of uncertainty is higher, the decision becomes more difficult. In this study, a fuzzy decision-making method is presented to assist decision makers in evaluating various alternatives under uncertainty. The method allows decision makers to characterize the associated uncertainty by applying fuzzy theory and incorporate the uncertainty directly into the decision making process for selecting the "best" alternative so decisions can be made that are more appropriate and realistic than those made without taking uncertainty in account.

• The Journal of the Acoustical Society of Korea
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• v.18 no.8
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• pp.108-115
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• 1999

In this study we suggested a digital filter method to enhance car audio sound quality against the sound distortion due to cabin's acoustic characteristics and car driving noises. The digital filters designed were based on the characteristics on car driving noises and cabin acoustic characteristics. Car driving noises were analyzed by two ways; one is an objective method, octave band frequency analysis method. The other is a subjective method; sensory evaluation method, NCB method. On these results, seven sets of modified coefficients of eleven band digital filters were obtained. To find optimum audio sound quality among nine sound samples filtered by designing seven types of digital filters, which were mixed car driving noises at 100km/h, subjective evaluation method was used, paired comparison method; Scheffe' seven point method.

• Journal of the Korean Institute of Intelligent Systems
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• v.9 no.6
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• pp.591-597
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• 1999

When fuzzy logic controllers which are designed based on plant models and intuitive base are applied to real plants, the control systems may not give satisfactory control results due to the modeling error and the lack of knowledge on the plants. In that case. the controller must be retuned by adjusting the control parameters; this retuning process may require a large number of trial-and-error evaluations and thus much time and cost. In order to resolve these problems, we propose a systematic and efficient procedure for designing a fuzzy logic controller using response surface methodology. First wc select the initial optimal conditions of control parameters using a genetic algorithm, in which a nominal plant model with intrinsic modeling errors is used. And then we determine the tinal optimal conditions of the control parameters using response surface methodology. Computer simulations are performed to verify the capability of the proposed method.

• Water for future
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• v.29 no.4
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• pp.131-138
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• 1996

The objective of this study is to develop an optimal operation model for the sewage treatment plants using nonlinear programming (NLP) technique and the QUAL2E model. The model finds the minimum-cost operation of sewage treatment plants while satisfying all design constraints and water quality (BOD) standard. The model is applied to four sewage treatment plants in Han River for the city of Seoul. It has been found that optimal operation schedule for the sewage treatment plants can be computed and it is more economic to operate the plants according to the schedule which satisfies the water quality constraints in the river. In addition, the water quality in the river can be predicted using the model under the treatment policy.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.33-33
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• 2019

최근 반복적인 도시침수 피해가 발생하고 있으나 다양한 강우 및 홍수 자료를 이용하여 실시간으로 침수분석을 실시할 수 있는 기술력이 부재한 실정이다. 한정된 시나리오에 따라 다양한 강우패턴에 의한 침수지역 파악에 어려움이 있으며, 불필요한 자료의 사용으로 인해 짧은 시간에 발생하는 도시침수에 대해 실시간으로 대응하는 데에 한계가 있다. 본 연구에서는 다양한 강우패턴과 극치강우 사상을 반영하기 위한 강우시간 분포법을 나타내고자 하였으며, 강우-유출 자료에 대한 최적의 자료조합을 선정하는 정량적 기준을 제시하고자 하였다. 지역 특성에 따른 극치강우사상의 시간분포에 대한 연구가 다양하게 진행되어 왔지만, 기존의 강우시간분포는 다양한 강우의 집중현상을 나타내기에는 한계가 있음을 보였다. 따라서 본 연구에서는 기존 강우시간분포 기법의 단점을 보완하고 극치강우사상의 집중지속시간 특성을 반영한 강우시간분포 방법과 Huff에 의한 강우시간 분포법을 사용하여 다양한 강우시나리오를 생성하였다. 본 연구에서는 부산 및 울산 연구대상지역의 도시유출해석의 입력 자료로서 사용하였다. 강우 및 유출 자료의 상관성 분석과 불확실도 분석을 기반으로 추후 홍수예측을 위한 최적의 입력 자료를 선정하고자 하였다. 위의 과정들을 통해 다양한 강우조건에 따른 연구대상 지역에서의 침수예상도를 분석할 수 있었으며, 선정된 극치강우사상을 통해 다양한 강우의 집중현상을 나타낼 수 있었다. 1차원 도시유출해석을 실시하여 구축한 강우-유출 데이터베이스의 최적화를 위해 불확실도 분석을 실시하였으며, 수리학적 특성이 고려된 입력 및 출력자료에 대한 사용자의 합리적인 판단을 위해 정량적 기준을 제시하고자 하였다. 더욱이 제시된 방법론을 이용함에 따라 지속적으로 나타나는 국지성 호우와 급변하는 수재해 양상에 능동적으로 대처하는데 도움을 줄 수 있는 기초자료를 제공할 것으로 판단된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.285-285
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• 2017

최근 전 세계적으로 심각해지는 물 부족 현상과 수질오염으로 대량의 원수를 빠른 시간 내에 여과하기 위한 여과장치의 개발 및 효율성 향상을 위한 연구의 필요성이 증가되고 있다. 특히 여과필터의 내부구조에 의해 유동이 편중되는 현상이 발생하면 여과효율 및 여과필터 유지관리에 문제가 발생되기 때문에 최적의 여과필터를 설계하는 것이 중요하다. 이에 본 연구에서는 수리모형실험으로 검토하기에 어려움이 있는 여과기 내부구조에 대한 유동특성을 수치해석을 이용하여 검토하였다. 수치해석은 유한요소법 기반의 수치모형으로 여과기 내부를 상세하게 모의할 수 없기 때문에 유한체적법 기반인 ANSYS CFX 모형을 이용하였다. 여과기 내 여과필터는 두께 2.0 mm, 공극율 25%로 가정하고 다공성 기법(porous media)을 적용하였다. 검토를 위한 경계조건은 유입부에 목표 취수량, 유출부에 대기압 조건을 적용하였으며, 여과기에 비해 매우 작게 구성된 여과필터 내부의 유동특성을 검토하기 위해 여과기는 최소 3.0 mm, 여과필터는 1.0 mm의 격자를 적용하였다. 현재 실제 여과시설에 적용되고 있는 여과기 제품 형상을 기준으로 여과기 내부 흐름공간의 크기 및 각도 조정에 따른 유동특성을 검토하여 여과효율을 비교하였으며 통과유량, 유속, 유속벡터 등을 검토하여 균등한 유량과 유속이 발생되는 최적의 여과장치 구조를 도출하였다. 본 연구에서 여과기 내부 구조 변경에 따른 유동특성 검토를 통해 도출된 최적의 여과기 내부크기 및 각도에 대한 설계인자는 여과기 내 여과필터의 효율을 증가시킬 뿐만 아니라 내구성 증진에 도움이 될 것으로 예상된다.

• Journal of the Korean Institute of Intelligent Systems
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• v.7 no.4
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• pp.82-92
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• 1997

In this paper, a fuzzy measure and integral-based model fnr interactive systems is proposed. The processes of model identification consists of the following three steps : (i) structure identification (ii) parameter identification and (iii) selection of an optimal model. An algorithm for the model structure identification using the well-known genetic algorithm ((;A) with a modified selection operator is proposed. A method for the identification of par;imetcrs corresponding to fuzzy measures is presented. A statistical model selection criterion is used for the selection of an optimal model among the candidates. Finally, experimental results obtained hy applying the proposed model to the subjective evaluation data set and the well-known time series data are presented to show the validity of the proposed model.