• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -3
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• pp.1412-1415
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• 2002

This paper describes a digital signature-based method for original and updated video authentication. The method uses multiple digital signatures in dealing with video data undergoing multiple change/updating. In addition, a feature based on neighbouring block similarity measure is applied to deal with certain image/video modification. The proposed method can cope with wide range of image/video tampering. It is suitable for practical use of video data, where updating may be performed by more than one legal parties. Experimental results are included with concluding remarks.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1995년도 봄 학술발표회 논문집
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• pp.17-27
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• 1995

For the post-buckling and elasto-plastic analysis of shell structures, the total Lagrangian formulation is presented based upon the degenerated shell element. Geometrically correct formulation is developed by updating the direction of normal vectors in the iteration process and evaluating the total Green-Lagrange stain corresponding U total displacements. In the calculation of the stiffness matrix, the element formulation takes into account the effect of finite rotation increments by retaining second order rotation terms in the incremental displacement field. The selective or reduced integration scheme using the heterosis element is applied in order to overcome both shear locking phenomena and the zero energy mode. The load/displacement incremental scheme is adopted for geometric non-linear F .E. analysis. Based on such methodology, the computer program is developed and numerical examples to demonstrate the accuracy and the effectiveness of the proposed shell element are presented and compared with references's results.

• Journal of the Korean Data and Information Science Society
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• 제14권2호
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• pp.345-354
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• 2003

An incremental kernel principal component analysis(IKPCA) is proposed for the nonlinear feature extraction from the data. The problem of batch kernel principal component analysis(KPCA) is that the computation becomes prohibitive when the data set is large. Another problem is that, in order to update the eigenvectors with another data, the whole eigenvectors should be recomputed. IKPCA overcomes this problem by incrementally updating the eigenspace model. IKPCA is more efficient in memory requirement than a batch KPCA and can be easily improved by re-learning the data. In our experiments we show that IKPCA is comparable in performance to a batch KPCA for the classification problem on nonlinear data set.

• Journal of Power Electronics
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• 제19권6호
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• pp.1544-1553
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• 2019

The efficiency of photovoltaic generation systems depends on the maximum power point tracking (MPPT) technique. Among the various schemes presented in the literature, the incremental conductance (INC) method is one of the most frequently used due to its superb tracking ability under changes in insolation and temperature. Generally, conventional INC algorithms implement a simple duty-cycle updating rule that is mainly found on the polarity of the peak-power evaluation function. However, this fails to maximize the performance in both steady-state and transient conditions. In order to overcome this limitation, a novel regulated INC (r-INC) method is proposed in this paper. Like the compensators in automatic control systems, this method applies a digital compensator to evaluate the INC function and improve the capability of power tracking. Precise modeling of a new MPPT system is also presented in the optimized design process. A 120W boost peak power tracker is utilized to obtain comparative test results and to confirm the superiority of the proposed method over existing techniques.

• 소성∙가공
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• 제7권3호
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• pp.233-245
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• 1998

A new approach has been proposed for the incremental analysis of the nonsteady state large deformation of planar anisotropic elastic-plastic sheet forming. A mathematical brief review of a constitutive law for the incremental deformation theory has been presented from flow theory using the minimum plastic work path for elastic-plastic material. Since the material embedded coordinate system(Lagrangian quantity) is used in the proposed theory the stress integration procedure is completely objective. A new return mapping algorithm has been also developed from the general midpoint rule so as to achieve numerically large strain increment by successive control of yield function residuals. Some numerical tests for the return mapping algorithm were performed using Barlat's six component anisotropic stress potential. Performance of the proposed algorithm was shown to be good and stable for a large strain increment, For planar anisotropic sheet forming updating algorithm of planar anisotropic axes has been newly proposed. In order to show the effectiveness and validity of the present formulation earing simulation for a cylindrical cup drawing and front fender stamping analysis are performed. From the results it has been shown that the present formulation can provide a good basis for analysis for analysis of elastic-plastic sheet metal forming processes.

• 한국지능시스템학회논문지
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• 제25권1호
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• pp.97-104
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• 2015

An 'associative cube', a class of auto-associative memories, is revisited here, in which training data and hidden orthogonal basis functions such as wavelet packets or Fourier kernels, are combined in the weight cube. This weight cube has hidden units in its depth, represented by a three dimensional cubic structure. We develop an unsupervised incremental learning mechanism based upon the adaptive least squares method. Training data are mapped into orthogonal basis vectors in a least-squares sense by updating the weights which minimize an energy function. Therefore, a prescribed orthogonal kernel is incrementally assigned to an incoming data. Next, we show how a decoding procedure finds the closest one with a competitive network in the hidden layer. As noisy test data are applied to an associative cube, the nearest one among the original training data are restored in an optimal sense. The simulation results confirm robustness of associative cubes even if test data are heavily distorted by various types of noise.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2002년도 봄 학술발표논문집 Vol.29 No.1 (B)
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• pp.190-192
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• 2002

구조와 문서(structured document)에 대만 효율적인 처리를 위해서는 문서의 임의 엘리먼트에 빠르고 직접적인 접근을 지원하는 인덱싱 기법이 필요하다 이를 위한 기존의 연구들에서는 전통적인 정보 검색 분야에서 사용되는 역 리스트나 시그너쳐 파일을 응용한 기법들이 제안되었다. 그러나 기존의 연구들은 정적인 환경에 적합한 인덱스 구조로써, 문서에 대한 동적인 변경이 있을 경우 인덱스론 전체적으로 재구성해야 하는 부담이 있다. 본 논문에서는 역 리스트를 기반으로 문서에 대만 구조 변경과 내용 변경 등 동적인 변경에 대해 점진적 갱신을 지원하는 인덱스 구조를 설계하였다.

• 한국정보처리학회논문지
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• 제2권4호
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• pp.477-486
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• 1995

본 논문에서는 이산수학에서 많이 다루고 있는 Galois-격자를 이용하여 객체지향 분석 모델을 구축하고 이를 유지 보수하기 위한 방법들을 제시하고, 예를 통해 객체 지향분석 모델을 구축하는 것에 대해 분석하였다. 클래스 객체들과 그들 사이에 형성 된 속성을 이항관계로 표현한 Galois-격자를 이용하여 관계(relation)를 정립하고, 분 석단계의 클래스 계층구조에 새로운 클래스 노드를 추가할 때마다 Galois-격자구조를 점증적으로 갱신하는 알고리즘을 제안하였다. 이러한 제안은 실험을 통하여 새로운 클 래스 노드의 추가는 일정한 시간내에 수행됨을 알았으며, 격자구조의 성장 속도는 클 래스 노드수와 비례하며, 클래스 노드에 관련된 속성의 수가 상한치를 갖을 때 알고리 즘의 최악경우 복잡도는 객체수에 따라 선형적으로 증가함을 보였다. 이 결과는 객체 지향 분석 모델의 이해도와 모델의 유지수하는 추적도를 높이고, 객체지향 시스템의 장점인 클래스의 재사용 가능성을 향상시키고 클래스 계층 유지보수를 실질적으로 지 원한다.

• 정보과학회 논문지
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• 제44권8호
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• pp.842-853
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• 2017

스트리밍 데이터는 시간에 따라 지속적으로 생성되는 데이터 시퀀스이다. 시간이 지남에 따라 데이터의 분포 또는 컨셉이 변화할 수 있으며, 이러한 변화는 분류 모델의 성능을 저하시키는 요인이 된다. 점층적 적응적 학습 방법은 컨셉 변화의 정도에 따라 현재 분류 모델의 가중치를 조절하여 업데이트를 수행함으로써 컨셉 변화에 대한 분류 모델의 성능을 유지할 수 있게 한다. 그러나, 컨셉 변화의 정도에 맞는 적절한 가중치를 결정하기가 어렵다는 문제점이 있다. 본 논문에서는 컨셉 변화에 따른 적응적 가중치 조정에 기반한 동적 앙상블 방법을 제안한다. 실험 결과는 제안한 방법이 다른 비교 방법들에 비해 높은 성능을 보여줌을 입증한다.

• Structural Monitoring and Maintenance
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• 제10권3호
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• pp.243-260
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• 2023

Indonesia has had seismic codes for earthquake-resistant structures designs since 1970 and has been updated five times to the latest in 2019. In updating the Indonesian seismic codes, seismic hazard maps for design also update, and there are changes to the Peak Ground Acceleration (PGA). Indonesian seismic design uses the concept of building performance levels consisting of Immediate occupancy (IO), Life Safety (LS), and Collapse Prevention (CP). Related to this performance level, cases still found that buildings were damaged more than their performance targets after the earthquake. Based on the above issues, this study aims to analyze the performance of base isolation design on existing target buildings and analyze the seismic fragility for a case study in Indonesia. The target building is a prototype design 8-story medium-rise residential building using the reinforced concrete moment frame structure. Seismic fragility analysis uses Incremental Dynamic Analysis (IDA) with Nonlinear Time History Analysis (NLTHA) and eleven selected ground motions based on soil classification, magnitude, fault distance, and earthquake source mechanism. The comparison result of IDA shows a trend of significant performance improvement, with the same performance level target and risk category, the base isolation structure can be used at 1.46-3.20 times higher PGA than the fixed base structure. Then the fragility analysis results show that the fixed base structure has a safety margin of 30% and a base isolation structure of 62.5% from the PGA design. This result is useful for assessing existing buildings or considering a new building's performance.