• Ocean Systems Engineering
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• 제4권2호
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• pp.151-167
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• 2014

It is common that analyses of offshore platforms being carried out with the assumption of rigid tubular joints. However, many researches have concluded that it is necessary that local joint flexibility (LJF) of tubular joints should be taken into account. Meanwhile, advanced analysis of old offshore platforms considering local joint flexibility leads to more accurate results. This paper presents an extensive finite-element (FE) based study on the flexibility of uni-planner multi-brace tubular Y-T and K-joints commonly found in offshore platforms. A wide range of geometric parameters of Y-T and K-joints in offshore practice is covered to generate reliable parametric equations for flexibility matrices. The formulas are obtained by non-linear regression analyses on the database. The proposed equations are verified against existing analytical and experimental formulations. The equations can be used reliably in global analyses of offshore structures to account for the LJF effects on overall behavior of the structure.

• International Journal of Aeronautical and Space Sciences
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• 제12권1호
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• pp.1-15
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• 2011

This paper reviews most of the research done in the field of tensile buckling characteristics pertaining to aerospace structural elements with special attention to local buckling and parametric excitation due to periodic loading on plate and shell elements. The concepts of buckling in aerospace structures appear as the result of the application of a global compressive applied load or shear load. A less usual situation is the case, in which a global tensile stress creates buckling instability and the formation of complex spatial buckling pattern. In contrast to the case of a pure compression or shear load, here the applied macroscopic load has no compressive component and is thus globally stabilizing. The instability stems from a local compressive stress induced by the presence of a defect, such as a crack or a hole, due to partial or non-uniform applied load at the far end. This is referred to as tensile buckling. This paper discusses all aspects of tensile buckling, theoretical and experimental. Its far reaching applications causing local instability in aerospace structural components are discussed. The important effects on dynamic stability behaviour under locally induced periodic compression have been identified and influences of various parameters are discussed. Experimental results on simple and combination resonance characteristics on plate structures due to tensile buckling effects are elaborated.

• 천문학회지
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• 제50권4호
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• pp.111-124
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• 2017

The environmental dependence of the morphology of dwarf galaxies in isolated satellite systems is analyzed to understand the origin of the dwarf galaxy morphology using the visually classified morphological types of 5836 local galaxies with $z{\leq}0.01$. We consider six sub-types of dwarf galaxies, dS0, dE, $dE_{bc}$, dSph, $dE_{blue}$, and dI, of which the first four sub-types are considered as early-type and the last two as late-type. The environmental parameters we consider are the projected distance from the host galaxy ($r_p$), local and global background densities, and the host morphology. The spatial distributions of dwarf satellites of early-type galaxies are much different from those of dwarf satellites of late-type galaxies, suggesting the host morphology combined with $r_p$ plays a decisive role on the morphology of the dwarf satellite galaxies. The local and global background densities play no significant role on the morphology of dwarfs in the satellite systems hosted by early-type galaxies. However, in the satellite system hosted by late-type galaxies, the global background densities of dE and dSph satellites are significantly different from those of $dE_{bc}$, $dE_{blue}$, and dI satellites. The blue-cored dwarf satellites ($dE_{bc}$) of early-type galaxies are likely to be located at $r_p$ > 0.3 Mpc to keep their cold gas from the ram pressure stripping by the hot corona of early-type galaxies. The spatial distribution of $dE_{bc}$ satellites of early-type galaxies and their global background densities suggest that their cold gas is intergalactic material accreted before they fall into the satellite systems.

• 전기전자학회논문지
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• 제19권2호
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• pp.244-253
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• 2015

본 논문은 비의도 움직임 검출 및 적응적 움직임 완화 필터를 이용한 동영상 안정화 기법을 제안한다. 제안된 기법은 비의도 움직임 검출 단계와 검출된 비의도 움직임을 완화 필터링하는 단계로 구성된다. 움직임 완화 과정에 요구되는 속성들을 활용하기 위하여 누적 전역 움직임 매개변수들로 구성된 집합의 국부 최대값과 국부 최소값을 정의한다. 국부 정보를 사용하여 비의도 움직임 검출에 필요한 제약조건을 정의하며, 제약조건들을 기반으로 하여 알파-조정 평균 필터의 알파 값을 결정하여 재구성된 동영상의 움직임 완화 정도를 제어한다. 실험 결과를 통해 제안된 방식의 성능 우수성을 입증하였다.

• 한국멀티미디어학회논문지
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• 제15권6호
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• pp.748-760
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• 2012

영상에서 밝기 분포가 특정한 범위에 밀집되어 있는 경우 영상에 포함된 특징을 구분하기가 어렵다. 이러한 문제를 해결하기 위해서 전역 히스토그램 평활화와 지역 히스토그램 평활화를 적용한다. 전역 히스토그램 평활화를 적용하는 경우 밝기 분포의 밀집 정도를 고려하지 않고 전체 히스토그램 정보를 사용하기 때문에 지나치게 밝아지거나 어두워질 수 있으며 부분적인 명암값을 개선시키는 것이 어렵다. 지역 히스토그램 평활화를 적용하는 경우 영상의 전체 밝기 분포를 고려하지 않고 지역적인 영상의 밝기 정보만을 사용하기 때문에 블록 간의 명암값의 차가 커져서 블록화 현상이 발생한다. 이러한 문제를 해결하기 위해 본 논문에서는 영상의 히스토그램의 영역에 가우시안 혼합 모델을 적용하여 모델링을 한 후, EM 알고리즘을 반복적으로 적용하여 각 영역의 범위를 결정한다. 그리고 분할된 영역별로 히스토그램 평활화를 적용하여 유사한 밝기값을 갖는 영역이 과도하게 평활화 되는 것을 방지하며 명암대비를 향상시킨다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제15권1호
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• pp.35-44
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• 2015

The main purpose of image enhancement is to improve certain characteristics of an image to improve its visual quality. This paper proposes a method for image contrast enhancement that can be applied to both medical and natural images. The proposed algorithm is designed to achieve contrast enhancement while also preserving the local image details. To achieve this, the proposed method combines local image contrast preserving dynamic range compression and contrast limited adaptive histogram equalization (CLAHE). Global gain parameters for contrast enhancement are inadequate for preserving local image details. Therefore, in the proposed method, in order to preserve local image details, local contrast enhancement at any pixel position is performed based on the corresponding local gain parameter, which is calculated according to the current pixel neighborhood edge density. Different image quality measures are used for evaluating the performance of the proposed method. Experimental results show that the proposed method provides more information about the image details, which can help facilitate further image analysis.

• Steel and Composite Structures
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• 제33권6호
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• pp.793-803
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• 2019

Concrete-filled steel tubular (CFST) beam-columns are widely used owing to their good performance. They have high strength, ductility, large energy absorption capacity and low costs. Externally stiffened CFST beam-columns are not used widely due to insufficient design equations that consider all parameters affecting their behavior. Therefore, effect of various parameters (global, local slenderness ratio and adding hoop stiffeners) on the behavior of CFST columns is studied. An experimental study that includes twenty seven specimens is conducted to determine the effect of those parameters. Load capacities, vertical deflections, vertical strains and horizontal strains are all recorded for every specimen. Ratio between outer diameter (D) of pipes and thickness (t) is chosen to avoid local buckling according to different limits set by codes for the maximum D/t ratio. The study includes two loading methods on composite sections: steel only and steel with concrete. The case of loading on steel only, occurs in the connection zone, while the other load case occurs in steel beam connecting externally with the steel column wall. Two failure mechanisms of CFST columns are observed: yielding and global buckling. At early loading stages, steel wall in composite specimens dilated more than concrete so no full bond was achieved which weakened strength and stiffness of specimens. Adding stiffeners to the specimens increases the ultimate load by up to 25% due to redistribution of stresses between stiffener and steel column wall. Finally, design equations previously prepared are verified and found to be only applicable for medium and long columns.

• 자원환경지질
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• 제28권4호
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• pp.425-431
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• 1995

Genetic algorithms are so named because they are analogous to biological processes. The model parameters are coded in binary form. The algorithm then starts with a randomly chosen population of models called chromosomes. The second step is to evaluate the fitness values of these models, measured by a correlation between data and synthetic for a particular model. Then, the three genetic processes of selection, crossover, and mutation are performed upon the model in sequence. Genetic algorithms share the favorable characteristics of random Monte Carlo over local optimization methods in that they do not require linearizing assumptions nor the calculation of partial derivatives, are independent of the misfit criterion, and avoid numerical instabilities associated with matrix inversion. An additional advantage over converntional methods such as iterative least squares is that the sampling is global, rather than local, thereby reducing the tendency to become entrapped in local minima and avoiding the dependency on an assumed starting model.

• Journal of Communications and Networks
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• 제14권5호
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• pp.471-480
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• 2012

Reliable detection of primary user activity increases the opportunity to access temporarily unused bands and prevents harmful interference to the primary system. By extracting a global decision from local sensing results, cooperative sensing achieves high reliability against multipath fading. For the effective combining of sensing results, which is generalized by a likelihood ratio test, the fusion center should learn some parameters, such as the probabilities of primary transmission, false alarm, and detection at the local sensors. During the training period in supervised learning, the on/off log of primary transmission serves as the output label of decision statistics from the local sensor. In this paper, we extend unsupervised learning techniques with an expectation maximization algorithm for cooperative spectrum sensing, which does not require an external primary transmission log. Local sensors report binary hard decisions to the fusion center and adjust their operating points to enhance learning performance. Increasing the number of sensors, the joint-expectation step makes a confident classification on the primary transmission as in the supervised learning. Thereby, the proposed scheme provides accurate parameter estimates and a fast convergence rate even in low signal-to-noise ratio regimes, where the primary signal is dominated by the noise at the local sensors.

• 한국컴퓨터정보학회논문지
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• 제14권1호
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• pp.9-15
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• 2009

개미 집단 시스템은 조합 최적화 문제를 해결하기 위한 메타 휴리스틱 탐색 방법이다. 기존 개미 집단시스템은 전역갱신과정에서 탐색된 전역 최적 경로에 대해서만 페로몬 갱신을 수행하는데, 전역 최적 경로가 탐색되지 않으면 페로몬 증발만 일어나며 주어진 종료 조건을 만족할 때까지 아무리 많은 반복 수행에도 페로몬 강화가 일어나지 않는다. 본 논문에서 제안된 개선된 개미 집단시스템은 전역 최적 경로의 길이가 주어진 반복 사이클 횟수 동안 더 이상 향상되지 못하면 국부최적에 빠졌다고 평가하고 상태전이 규칙에서 파라미터 감소를 통해 다음 노드를 선택하게 하였다. 이로 인해, 상태전이 규칙에서 파라미터 감소에 의한 다양화 전략으로 탐색하는 결과가 최적 경로 탐색뿐만 아니라, 평균 최적 경로 탐색과 평균 반복횟수의 성능이 우수함을 보여 주었으며, 실험을 통해 그 성능을 평가하였다.