• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1999년도 가을 학술발표회 논문집
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• pp.27-34
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• 1999

This study presents the concept and the effects of the lifting two supports method that makes get economical design sections and efficient stress condition. The analysis of relation between critical sections and ratios Is done. Also, connection between critical sections and design variable is analyzed. In order to resolve the effects of the lifting two supports method, sections which was designed with the existing method, lifting support method, are used. Finally, it is proved that the new method is more efficient than the existing methods in economy and structure.

• 전기학회논문지P
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• 제57권2호
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• pp.115-120
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• 2008

The EKF(Extended Kalman filter) method which is the state estimation algorithm of nonlinear stochastic system depends on the initial error and the estimated states. Therefore, the divergence of the estimated state can be caused if the initial values of the estimated states are not chosen as approximate real state values. In this paper, the demerit of the existing EKF method is improved using the EKF algorithm transformated by STWS(Single Term Walsh Series). This method linearizes each sampling interval of continous-time system through the derivation of an algebraic iterative equation without discretizing continuous system by the characteristic of STWS, the convergence of the estimated states can be improved. The validity of the proposed method is checked through comparison with the existing EKF method in simulation.

• 한국컴퓨터정보학회논문지
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• 제22권1호
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• pp.23-32
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• 2017

We can obtain useful knowledge from data by using a subgroup discovery algorithm. Subgroup discovery is a rule model learning method that finds data subgroups containing specific information from data and expresses them in a rule form. Subgroups are meaningful as they account for a high percentage of total data and tend to differ significantly from the overall data. Subgroup is expressed with conjunction of only literals previously. So, the scope of the rules that can be derived from the learning process is limited. In this paper, we propose a method to increase expressiveness of rules through internal disjunctive representation of attribute values. Also, we analyze the characteristics of existing subgroup discovery algorithms and propose an improved algorithm that complements their defects and takes advantage of them. Experiments are conducted with the traffic accident data given from Busan metropolitan city. The results shows that performance of the proposed method is better than that of existing methods. Rule set learned by proposed method has interesting and general rules more.

• 제어로봇시스템학회논문지
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• 제16권2호
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• pp.134-139
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• 2010

In order to overcome some problems of existing anti-windup methods, this paper defines LQ (Linear Quadratic) observer and proposes a new anti-windup method using the LQ observer. LQ observer is derived by linear quadratic optimization in order to calculate controller states, which make the controller outputs equal to the plant inputs. And we propose an algorithm so that it can be implemented by a digital controller easily. The relationship between the design parameters and the anti-windup performance is shown via some numerical examples, which cover the cases with the anti-windup method using LQ observer designed and the case without it. Finally, the anti-windup performance of the proposed method is exemplified via comparison with the existing model-based conditioning scheme method[4].

• 음성과학
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• 제9권2호
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• pp.135-146
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• 2002

Generally a speaker verification system improves its system recognition ratio by regularizing log likelihood ratio, using a speaker model and its background speaker model that are required to be verified. The speaker-based cohort method is one of the methods that are widely used for selecting background speaker model. Recently, Gaussian-based cohort model has been suggested as a virtually synthesized cohort model, and unlike a speaker-based model, this is the method that chooses only the probability distributions close to basic speaker's probability distribution among the several neighboring speakers' probability distributions and thereby synthesizes a new virtual speaker model. It shows more excellent results than the existing speaker-based method. This study compared the existing speaker-based background speaker models and virtual speaker models and then constructed new virtual background speaker model groups which combined them in a certain ratio. For this, this study constructed a speaker verification system that uses GMM (Gaussin Mixture Model), and found that the suggested method of selecting virtual background speaker model shows more improved performance.

• Steel and Composite Structures
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• 제20권3호
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• pp.693-718
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• 2016

This paper presents a finite element procedure based on Bridging multi-scale method (BMM) in order to incorporate the effect of local/cross-sectional deformations (e.g., flange local buckling and web crippling) on the global behaviour of thin-walled members made of fibre-reinforced polymer composite laminates. This method allows the application of local shell elements in critical regions of an existing beam-type model. Therefore, it obviates the need for using computationally expensive shell elements in the whole domain of the structure, which is otherwise necessary to capture the effect of the localized behaviour. Consequently, highly accurate analysis results can be achieved with this method by using significantly smaller finite element model, compared to the existing methods. The proposed method can be used for composite polymer laminates with arbitrary fibre orientation directions in different layers of the material, and under various loading conditions. Comparison with full shell-type finite element analysis results are made in order to illustrate the efficiency and accuracy of the proposed technique.

• 대한전기학회논문지:전력기술부문A
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• 제52권9호
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• pp.500-505
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• 2003

The target of the ULTC(Under Load Tap Changer) control purpose is to minimize the operation number of the tap of the ULTC doing the error voltage which is the difference between the measured bus voltage End the reference bus voltage of the receiving end becomes less than the tolerance limits. The existing ULTC control method controls each ULTC considering only its bus voltage of the receiving end. However, this method did not cons der the coordinated control of the ULTCs of the system. In this paper, I proposed a coordinated control of the ULTC in :he loop power system using the Jacobian matrix. To show the validity of the proposed method, I made simulations for three cases: no action of the ULTC, the control of the ULTC by the existing control method, and the control of the ULTC by the coordinated control among the ULTCs of the system. The simulation result shows that the proposed method has more improvement of the operation of the ULTC than other methods.

• 한국정보처리학회논문지
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• 제4권10호
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• pp.2421-2433
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• 1997

본 논문에서는 영화의 서비스 요구 빈도의 차이로 인하여 각 영화가 상대적으로 상이한 논리적 저장 장치 점유 비용을 가진다는 특징을 기반으로 대용량의 VOD 서버에서 FF(Fast Forward) 기능과 FR(Fast Reverse) 기능을 효율적으로 제공하기 위해 MPEG의 비트 스트림 구조와 프레임 특성을 분석하고, 그 특성을 이용하여 SDU(Separate Data Use) 방법과 EDU(Existing Data Use) 방법을 제안하고 구현하였다. 제안하는 방법은 각 영화의 서비스 요구 빈도에 따라 FF/FR 기능 제공 방법을 선택하여 적용함으로써 전체 영화에 대한 FF/FR 기능 제공 비용을 감소시킬 수 있다.

• 전력전자학회논문지
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• 제26권1호
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• pp.59-65
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• 2021

This study proposes a dead-time implementation method suitable for cell voltage control of a cascaded H-bridge (CHB) inverter. The PWM module of an existing microcontroller cannot generate a maximum voltage due to the dead-time effect when used as the cell controller of the CHB inverter. In the proposed method, the operation method of the PWM module was changed without using the dead time module included in the existing microcontroller, so that the cell output voltage can be increased to the maximum voltage without voltage discontinuity. During the maximum voltage generation period, the full turn-on state can be maintained without unnecessary switching. The validity of the proposed method is confirmed through an experiment.

• 정보보호학회논문지
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• 제16권5호
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• pp.119-123
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• 2006

본 논문에서는 얼굴인식에 널리 사용되는 고유얼굴(eigenfaces)을 이용한 방법에서 고유얼굴들을 고유치(eigenvalues)의 크기에 따라 사용하는 기존의 방식과는 달리, 개인별로 인식에 사용될 고유얼굴들을 선택하여 인식하는 방법을 제안한다. YALE, ORL(Olivetti Research Laboratory) 데이터베이스에 대하여, 기존의 방법과 제안한 방법에 의한 선택에 따른 고유얼굴들을 사용한 경우를 비교 실험하였다. 실험결과, 개인별로 선택된 고유얼굴들에 의한 특징벡터를 이용한 인식이 더 우수한 성능을 보였다.