• Structural Engineering and Mechanics
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• 제52권4호
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• pp.739-753
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• 2014

There have been many packages that can be employed to analyze plane frames. However, because most structural analysis packages suffer from closeness of system, it is very difficult to integrate it with an optimization package. To overcome the difficulty, we proposed a possible alternative, DAMDO, which integrate Design, Analysis, Modeling, Definition, and Optimization phases into an integrative environment. The DAMDO methodology employs neural networks to integrate structural analysis package and optimization package so as not to need directly to integrate these two packages. The key problem of the DAMDO approach is how to generate a set of reasonable random designs in the first phase. According to the characteristics of optimized plane frames, we proposed the ratio variable approach to generate them. The empirical results show that the ratio variable approach can greatly improve the accuracy of the neural networks, and the plane frame optimization problems can be solved by the DAMDO methodology.

• 대한음성학회:학술대회논문집
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• 대한음성학회 2006년도 추계학술대회 발표논문집
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• pp.142-145
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• 2006

Discrimination between speech and music is important in many multimedia applications. Previously we proposed a new parameter for speech/music discrimination, the mean of minimum cepstral distances (MMCD), and it outperformed the conventional parameters. One weakness of it is that its performance depends on range of candidate frames to compute the minimum cepstral distance, which requires the optimal selection of the range experimentally. In this paper, to alleviate the problem, we propose a multi-dimensional MMCD parameter which consists of multiple MMCDs with different ranges of candidate frames. Experimental results show that the multi-dimensional MMCD parameter yields an error rate reduction of 22.5% compared with the optimally chosen one-dimensional MMCD parameter.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2006년도 가을 학술발표논문집 Vol.33 No.2 (D)
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• pp.302-305
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• 2006

In this paper, we have proposed a novel method using quantization of wavelet coefficients for secret data communication. First, speech signal is partitioned into small time frames and the frames are transformed into frequency domain using a WT(Wavelet Transform). We quantize the wavelet coefficients and embedded secret data into the quantized wavelet coefficients. The destination regard quantization errors of received speech as seceret dat. As most speech watermark techniques have a trade off between noise robustness and speech quality, our method also have. However we solve the problem with a partial quantization and a noise level dependent threshold. In additional, we improve the speech quality with de-noising method using wavelet transform. Since the signal is processed in the wavelet domain, we can easily adapt the de-noising method based on wavelet transform. Simulation results in the various noisy environments show that the proposed method is reliable for secret communication.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2007년도 정기 학술대회 논문집
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• pp.369-374
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• 2007

For a stability design of steel frames, AISC-LRFD specification recommend to use Alignment Chart and story-based methods in order to determine an effective budding length. Recently, elastic buckling analysis, which is the method that calculate the effective length of members using eigenvalue of the overall structure, has been widely used in practical design of steel frames because this method can be performed effectively and automatically by computers. However, it can in some cases lead to unexpectedly large effective length in column having small axial forces. Therefore, this paper propose a method using elastic buckling analysis, which estimate a proper effective buckling length for all members having a small axial force. For verification of proposed method, it is compared with system based approach and stiffness distribution factor method. As a result, proposed method can rationally solve a problem in some case of column having small axial force. Also, adoption range for proposed method is established.

• Smart Structures and Systems
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• 제25권1호
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• pp.47-56
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• 2020

This paper proposes a model-based approach for structural damage identification and quantification. Using pseudo modal strain energy and mode shape vectors, a damage-sensitive objective function is introduced which is suitable for damage estimation and quantification in shear frames. Whale optimization algorithm (WOA) is used to solve the problem and report the optimal solution as damage detection results. To illustrate the capability of the proposed method, a numerical example of a shear frame under different damage patterns is studied in both ideal and noisy cases. Furthermore, the performance of the WOA is compared with particle swarm optimization algorithm, as one the widely-used optimization techniques. The applicability of the method is also experimentally investigated by studying a six-story shear frame tested on a shake table. Based on the obtained results, the proposed method is able to assess the health of the shear building structures with high level of accuracy.

• Journal of Information Processing Systems
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• 제16권1호
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• pp.30-41
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• 2020

Lines and textures are natural properties of the surface of natural objects, and their images can be sparsely represented in suitable frames such as wavelets, curvelets and wave atoms. Based on characteristics that the curvelets framework is good at expressing the line feature and wavesat is good at representing texture features, we propose a model for the weighted sparsity constraints of the two frames. Furtherly, a multi-step iterative fast algorithm for solving the model is also proposed based on the split Bergman method. By introducing auxiliary variables and the Bergman distance, the original problem is transformed into an iterative solution of two simple sub-problems, which greatly reduces the computational complexity. Experiments using standard images show that the split-based Bergman iterative algorithm in hybrid domain defeats the traditional Wavelets framework or curvelets framework both in terms of timeliness and recovery accuracy, which demonstrates the validity of the model and algorithm in this paper.

• 한국콘텐츠학회논문지
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• 제6권10호
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• pp.107-113
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• 2006

H.264의 인트라 프레임 에러복원기법은 상하좌우 인접한 블록의 픽셀을 사용하여 거리의 가중치 평균값으로 손실된 블록을 복원한다. H.264의 인트라 프레임 에러복원기법은 주변블록 픽셀의 간단한 평균값을 이용하여 복원하므로 심각한 블러링 현상이 발생하고 화질 저하의 문제를 야기한다. 이를 개선하기 위하여 본 논문에서는 주변블록의 픽셀 정보를 이용하여 손실된 블록의 주된 에지 방향을 추정하고, 통계값을 이용한 방해함수의 결과 값으로 에지 방향 기반의 보간법과 가중치 평균 보간법을 적응적으로 선택하여 복원하는 방법을 제안한다. 에지방향 기반의 보간법에서는 선택된 주된 에지방향과 상하좌우 각각의 주변블록의 에지방향들 간의 상호관계를 고려함으로써 최종적으로 최적 에지 방향을 선택하여 성능을 향상시킨다. 제안된 방법은 영상에 따라 H.264 에러복원기법보다 객관적인 화질이 $0.5{\sim}2.0dB$ 정도의 PSNR 향상을 보였다.

• 방송공학회논문지
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• 제24권2호
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• pp.264-272
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• 2019

본 논문은 비디오로부터 추출한 프레임으로부터 3차원 인체 형상과 자세 복원을 수행하고 이를 시간 축에서 자연스럽고 부드러운 움직임을 나타내도록 보정하는 기법을 제안한다. 제안하는 기법은 우선 비디오로부터 추출한 개별 프레임으로부터 convolutional neural network을 이용하여 관절의 위치와 인체의 윤곽을 추정한다. 인체의 형상 및 자세는 매개변수 기반의 3차원 변형가능 모델(morphable model)을 2차원 영상으로 투영후 정합하여 최적의 매개변수 값을 추정한다. 이 때 각 프레임에 대한 복원이 개별적으로 수행되면 시간 축에서 자세의 연속성과 체형의 일관성이 보장되지 못하고 올바르지 못한 복원 결과가 나타난다. 제안하는 기법은 이러한 문제점을 보완하기 위하여 각 프레임으로부터 복원된 3차원 변형가능 모델의 주성분 매개변수의 분석 및 보간을 수행한다. 실험결과 3차원 인체 복원에 오류가 발생한 프레임에 대해 이전과 이후 프레임들 사이의 관계를 통해 오류가 보정되어 개선된 복원 결과를 얻을 수 있음을 보인다.

• 정보보호학회논문지
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• 제21권3호
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• pp.183-188
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• 2011

모바일 응용에서 MPEG 비디오 스트림 등 대용량 데이터의 이용이 증가함에 따라, 전송되는 대용량 데이터의 정보 보호가 중요한 문제로 부각되고 있다. 대용량 데이터의 효과적인 보호를 위한 부분 암호화 방법으로 SECMPEG이 존재한다. 그러나 SECMPEG의 보안 레벨은 B- 나 P-프레임에 비해 상대적으로 용량이 큰 I-프레임을 모두 암호화 하기 때문에, 모바일 응용에 적용하기에는 암호화 오버헤드가 크다는 문제가 있다. 그러므로 MPEG2 표준의 압축 특성을 분석하여 I 프레임에서의 부분 암호화를 효과적으로 적용할 필요가 있다. 본 논문에서는 수신단에서 I-프레임 내의 에러 전파 특성을 이용하는, 슬라이스 레벨에서의 부분 암호화 방법을 제안한다. 실험 결과를 통하여 SECMPEG 보안 레벨 3과 비교하여 제안 방법은 보안 성능의 저하없이 수행 시간을 약 30배 이상 단축함을 확인하였다.

• Steel and Composite Structures
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• 제47권2호
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• pp.253-267
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• 2023

The bearing capacities resisted by the two-bay beams of multi-story planar frames with unequal spans under column removal scenarios differ considerably owing to the asymmetric stress on the left and right beams connected to the failed column and cause the potential for beams with larger span-to-depth ratios to be unable to exert effectively, which is disadvantageous for resisting the vertical load in unequal-span frame structures. To address this problem, the structural measure of adding braces to the weak bays of multi-story unequal-span frames was proposed, with the objective of achieving a coordinated stress state in two-bay beams with unequal spans, thereby improving the collapse resistance of unequal-span frame structures. Before conducting the numerical simulation, the modeling methods were verified by previous experimental results of two multi-story planar frames with and without steel braces. Thereafter, the effects of the tensile and compressive braces on the collapse behavior of the frame structures were elucidated. Then, based on the mechanical action laws of the braces throughout the collapse process, a detailed design method for improving the collapse resistance of unequal-span frame structures was proposed. Finally, the proposed design method was verified by using sufficient example models, and the results demonstrated that the design method has good application prospects and high practical value.