• 대한기계학회논문집A
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• 제27권5호
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• pp.697-704
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• 2003

In this paper, the visual tracking system for arbitrary shaped moving object is proposed. The established tracking system can be divided into model based method that needs previous model for target object and image based method that uses image feature. In the model based method, the reliable tracking is possible, but simplification of the shape is necessary and the application is restricted to definite target mod el. On the other hand, in the image based method, the process speed can be increased, but the shape information is lost and the tracking system is sensitive to image noise. The proposed tracking system is composed of the extraction process that recognizes the existence of moving object and tracking process that extracts dynamic characteristics and shape information of the target objects. Specially, active contour model is used to effectively track the object that is undergoing shape change. In initializatio n process of the contour model, the semi-automatic operation can be avoided and the convergence speed of the contour can be increased by the proposed effective initialization method. Also, for the efficient solution of the correspondence problem in multiple objects tracking, the variation function that uses the variation of position structure in image frame and snake energy level is proposed. In order to verify the validity and effectiveness of the proposed tracking system, real time tracking experiment for multiple moving objects is implemented.

• Wind and Structures
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• 제19권6호
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• pp.585-601
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• 2014

The effect of multiple roughness changes close to a building site was examined through three dimensional computational fluid dynamics (CFD) simulations conducted in a virtual boundary layer wind tunnel (V-BLWT). The results obtained were compared with existing wind speed models, namely ESDU-82026 and Wang and Stathopoulos (WS) model. The latter was verified by wind tunnel tests of sixty nine cases of multiple roughness patches, and also with a simplified 2D numerical model. This work extends that numerical study to three dimensions and also models roughness elements explicitly. The current numerical study shows better agreement with the WS model, that has shown better agreements with BLWT tests, than the ESDU model. This is in contrast to previous results of Wang and Stathopoulos, who concluded that CFD shows better agreement with the ESDU model. Many cases were simulated in a V-BLWT that has same dimensions as BLWT used in the original experiment and also in a reduced symmetrical version (S-BLWT) that takes advantage of regular arrangement of roughness blocks. The S-BLWT gives results almost identical to V-BLWT simulations, while achieving significant reduction on computational time and resources.

• ETRI Journal
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• 제34권4호
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• pp.527-535
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• 2012

A general equivalent circuit model is developed for a wireless energy transfer system composed of multiple coils via coupled magnetic resonances. To verify the developed model, four types of wireless energy transfer systems are fabricated, measured, and compared with simulation results. To model a system composed of n-coils, node equations are built in the form of an n-by-n matrix, and the equivalent circuit model is established using an electric design automation tool. Using the model, we can simulate systems with multiple coils, power sources, and loads. Moreover, coupling constants are extracted as a function of the distance between two coils, and we can predict the characteristics of a system having coils at an arbitrary location. We fabricate four types of systems with relay coils, two operating frequencies, two power sources, and the function of characteristic impedance conversion. We measure the characteristics of all systems and compare them with the simulation results. The flexibility of the developed model enables us to design and optimize a complicated system consisting of many coils.

• 물과 미래
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• 제25권1호
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• pp.93-100
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• 1992

Abstract A study on the Derivation of the Unit Hydrograph using Multiple Regression Moe이. The purpose of this study is to deriver an optimal unit hydrograph suing the multiple regression model, particularly when only small amount of data is available. The presence of multicollinearity among the input data can cause serious oscillations in the derivation of the unit hydrograph. In this case, the oscillations in the unit hydrograph ordinate are eliminated by combining the data. The data used in this study are based upon the collection and arrangement of rainfall-runoff data(1977-1989) at the Soyang-river Dam site. When the matrix X is the rainfall series, the condition number and the reciprocal of the minimum eigenvalue of XTX are calculated by the Jacobi an method, and are compared with the oscillation in the unit hydrograph. The optimal unit hydrograph is derived by combining the numerous rainfall-runoff data. The conclusions are as follows; 1)The oscillations in the derived unit hydrograph are reduced by combining the data from each flood event. 2) The reciprocals of the minimum eigen\value of XTX, 1/k and the condition number CN are increased when the oscillations are active in the derived unit hydrograph. 3)The parameter estimates are validated by extending the model to the Soyang river Dam site with elimination of the autocorrelation in the disturbances. Finally, this paper illustrates the application of the multiple regression model to drive an optimal unit hydrograph dealing with the multicollinearity and the autocorrelation which cause some problems.

• Radiation Oncology Journal
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• 제12권1호
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• pp.109-115
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• 1994

본 연구의 목적은 뇌정위적 방사선수술시 최적 선량분포를 얻기 위하여 빠른 multiple isocenter 계획을 효과적으로 수행할 수 있는 방법을 개발하는 데 있다. 18cm 직경의 구형 머리 팬톰과 정확한 선량 알고리듬을 이용하여 선량값을 계산한 뒤 fltting 기술을 이용하여 빠른 구형선량 모델을 개발하였다. 구형선량 모델을 이용하여 single isocenter에 대한 선량값은 합산에 의하여 쉽게 얻어졌다. Isocenter들간의 이동에 따른 선량분포의 변화를 이용하여 컴퓨터 자동추적 방법이 개발되었으며, isocenter 간격 및 collimator 크기가 빠른 시간내에 결정될 수 있었다. 구형선량모델은 beam data에 의한 선량데이타와 같은 선량분포를 나타냈으며 고속으로 삼차원 선량계산을 가능하게 하였다. 컴퓨터 자동추적 방법은 지금까지의 시행착오적 방법에 비해 보다 빠르게 최적 isocenter setting을 제공할 수 있었다. 구형선량모델 및 컴퓨터 자동추적방법은 multiple isocenter를 이용한 수술 계획시 최적선량 분포를 보다 빨리 얻을 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권2호
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• pp.702-723
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• 2020

The application of machine learning (ML) in intrusion detection has attracted much attention with the rapid growth of information security threat. As an efficient multi-label classifier, kernel extreme learning machine (KELM) has been gradually used in intrusion detection system. However, the performance of KELM heavily relies on the kernel selection. In this paper, a novel multiple kernel extreme learning machine (MKELM) model combining the ReliefF with nature-inspired methods is proposed for intrusion detection. The MKELM is designed to estimate whether the attack is carried out and the ReliefF is used as a preprocessor of MKELM to select appropriate features. In addition, the nature-inspired methods whose fitness functions are defined based on the kernel alignment are employed to build the optimal composite kernel in the MKELM. The KDD99, NSL and Kyoto datasets are used to evaluate the performance of the model. The experimental results indicate that the optimal composite kernel function can be determined by using any heuristic optimization method, including PSO, GA, GWO, BA and DE. Since the filter-based feature selection method is combined with the multiple kernel learning approach independent of the classifier, the proposed model can have a good performance while saving a lot of training time.

• 한국멀티미디어학회논문지
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• 제2권4호
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• pp.400-408
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• 1999

본 논문에서는 복수 모델영상 간의 휘도치의 차이(이를 상위도라고 정의함)를 기본으로 영상매칭의 기준이 되는 "상위도 패턴"을 만드는 방법과, 이를 이용하여 입력영상과 모델영상간의 거리 계산에 의해 손의 형상을 인식하는 알고리듬에 대해 기술한다 이 방법의 특징은 인식과정에서 에지나 코너 등과 같은 기하학적 형상특징을 이용하는 것이 아니고, 영상전체를 하나의 처리단위로 하여 다수의 영상으로부터 구한 단순한 휘도치 차이를 2차원의 형상으로 패턴화 하여 인식과정에 사용한다는 점이다. 따라서 대량의 모델이 상호간에 갖는 상관관계가 인식과정에서 동시에 적용되기 때문에 대규모의 영상을 비교할 필요가 있는 인식 알고리즘의 실현에 매우 적합하다.

• 대한인간공학회지
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• 제30권5호
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• pp.683-688
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• 2011

Objective: The aim of this study is to develop a distributed representative human model(DRHM) generation and analysis system. Background: DRHMs are used for a product with multiple-size categories such as clothing and shoes. It is not easy for a product designer to explore an optimal sizing system by applying various distributed methods because of their complexity and time demand. Method: Studies related to DRHM generation were reviewed and the RHM generation interfaces of three digital human model simulation systems(Jack$^{(R)}$, RAMSIS$^{(R)}$, and CATIA Human$^{(R)}$) were reviewed. Results: DRHM generation steps are implemented by providing sophisticated interfaces which offer various statistical techniques and visualization methods with ease. Conclusion: The DRHM system can analyze the multivariate accommodation percentage of a sizing system, provide body sizes of generated DRHMs, and visualize generated grids and DRHMs. Application: The DRHM generation and analysis system can be of great use to determine an optimal sizing system for a multiple-size product by comparing various sizing system candidates.

• 한국비블리아학회지
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• 제25권4호
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• pp.29-57
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• 2014

본 연구는 스포츠 영상기록물의 효과적인 관리 검색 활용을 목적으로 다중개체 모형을 기반으로 하여 메타데이터 요소들을 제안하였다. 스포츠 영상기록이 가진 특성을 표현하고 풍부한 맥락 정보를 제공하기 위하여 스포츠 경기, 경기 참여자, 영상기록, 기록관리업무의 네 가지 개체들을 선정하였으며, 각 개체에 해당하는 메타데이터 요소들을 추출하였다. 또한 스포츠 인물 및 팀에 대한 용어에 일관성을 유지하고 보다 상세한 정보를 제공하고자 인물과 팀에 대한 전거레코드를 제안하였다. 제안된 다중개체 모형과 메타데이터 요소들, 그리고 스포츠 인물 및 팀 전거레코드는 체육학과 교수들과 스포츠 마케팅 전문가로 이루어진 전문가 집단과의 면담을 통해서 검정되었고 수정, 확대되었다.

• Industrial Engineering and Management Systems
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• 제9권3호
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• pp.227-241
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• 2010

A memory module industry's supply chain usually consists of multiple manufacturing sites and multiple distribution centers. In order to fulfill the variety of demands from downstream customers, production planners need not only to decide the order allocation among multiple manufacturing sites but also to consider memory module industrial characteristics and supply chain constraints, such as multiple material substitution relationships, capacity, and transportation lead time, fluctuation of component purchasing prices and available supply quantities of critical materials (e.g., DRAM, chip), based on human experience. In this research, a directed graph-based supply network planning (DGSNP) model is developed for memory module industry. In addition to multi-site order allocation, the DGSNP model explicitly considers production planning for each manufacturing site, and purchasing planning from each supplier. First, the research formulates the supply network's structure and constraints in a directed-graph form. Then, a proposed genetic algorithm (GA) solves the matrix form which is transformed from the directed-graph model. Finally, the final matrix, with a calculated maximum profit, can be transformed back to a directed-graph based supply network plan as a reference for planners. The results of the illustrative experiments show that the DGSNP model, compared to current memory module industry practices, determines a convincing supply network planning solution, as measured by total profit.