• International Journal of Aeronautical and Space Sciences
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• 제12권2호
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• pp.115-133
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• 2011

Fiber reinforced polymer composites (FRPs) are being increasingly used for a wide range of engineering applications owing to their high specific strength and stiffness. However, their through-the-thickness performance lacks some of the most demanding physical and mechanical property requirements for structural applications, such as aerospace vehicles and military components. Carbon nanotubes (CNTs) and carbon nanofibers (CNFs), due to their excellent mechanical, thermal and electrical properties, offer great promise to improve the weak properties in the thickness direction and impart multi-functionality without substantial weight addition to FRPs. This paper reviews the progress made to date on i) the techniques developed for integration of CNTs/ CNFs into FRPs, and ii) the effects of the addition of these nanofillers on the interlaminar properties, such as such interlaminar shear strength, interlaminar fracture toughness and impact damage resistance and tolerance, of FRPs. The key challenges and future prospects in the development of multiscale CNT-FRP composites for advanced applications are also highlighted.

• 한국압력기기공학회 논문집
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• 제10권1호
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• pp.113-121
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• 2014

In this work, an integrated model including molecular dynamics and chemical rate theory was implemented to calculate the growth of point defect clusters(PDC) and copper-rich precipitates(CRP) which could change the mechanical properties of reactor pressure vessel(RPV) steels in a nuclear power plant. A number of time-dependent differential equations were established and numerically integrated to estimate the evolution of irradiation defects. The calculation showed that the concentration of the vacancies was higher than that of the self-interstitial atoms. The higher concentration of vacancies induced a formation of the CRPs in the later stage. The size of the CRPs was used to estimate the mechanical property changes in RPV steels, as is the same case with the PDCs. The calculation results were compared with the measured values of yield strength change and Charpy V-notch transition temperature shift, which were obtained from the surveillance test data of Korean light water reactors(LWRs). The estimated values were in fair agreement with the experimental results in spite of the uncertainty of the modeling parameters.

• Structural Engineering and Mechanics
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• 제38권4호
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• pp.429-441
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• 2011

In large-scale problem, a huge size of computational resources is needed for a reliable solution which represents the detailed description of dynamic behavior. Recently, eigenvalue reduction schemes have been considered as important technique to resolve computational resource problems. In addition, the efforts to advance an efficiency of reduction scheme leads to the development of the multi-level system condensation (MLSC) which is initially based on the two-level condensation scheme (TLCS). This scheme was proposed for approximating the lower eigenmodes which represent the global behavior of the structures through the element-level energy estimation. The MLSC combines the multi-level sub-structuring scheme with the previous TLCS for enhancement of efficiency which is related to computer memory and computing time. The present study focuses on the implementation of the MLSC on the direct time response analysis and the frequency response analysis of structural dynamic problems. For the transient time response analysis, the MLSC is combined with the Newmark's time integration scheme. Numerical examples demonstrate the efficiency of the proposed method.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2011년도 제37회 추계학술대회논문집
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• pp.241-245
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• 2011

엔진 시험과정에서 데이터는 시계열 형태로 수집된다. 보통 그러한 시계열들의 섭동보다는 시간평균에 더 관심을 가진다. 본 논문에서는 공기 흡입식 엔진의 시험에서 측정된 압력과 유량 데이터의 섭동에 시계열의 복잡성의 척도로 제안된 개념인 multiscale sample entropy라는 분석법을 적용해본다. 분석 결과, 서로 다른 물리량은 각각의 시간척도에서 다른 복잡성을 가진다는 것을 보였고, 이를 잘 이용하면 엔진 시험의 성패 여부를 즉각적으로 알려주는 도구를 만들 수 있을 것이다.

• Smart Structures and Systems
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• 제14권3호
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• pp.377-395
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• 2014

Vibration-based fault detection and condition monitoring of rotating machinery, using statistical process control (SPC) combined with statistical pattern recognition methodology, has been widely investigated by many researchers. In particular, the discrete wavelet transform (DWT) is considered as a powerful tool for feature extraction in detecting fault on rotating machinery. Although DWT significantly reduces the dimensionality of the data, the number of retained wavelet features can still be significantly large. Then, the use of standard multivariate SPC techniques is not advised, because the sample covariance matrix is likely to be singular, so that the common multivariate statistics cannot be calculated. Even though many feature-based SPC methods have been introduced to tackle this deficiency, most methods require a parametric distributional assumption that restricts their feasibility to specific problems of process control, and thus limit their application. This study proposes a nonparametric multivariate control chart method, based on multiscale wavelet scalogram (MWS) features, that overcomes the limitation posed by the parametric assumption in existing SPC methods. The presented approach takes advantage of multi-resolution analysis using DWT, and obtains MWS features with significantly low dimensionality. We calculate Hotelling's $T^2$-type monitoring statistic using MWS, which has enough damage-discrimination ability. A bootstrap approach is used to determine the upper control limit of the monitoring statistic, without any distributional assumption. Numerical simulations demonstrate the performance of the proposed control charting method, under various damage-level scenarios for a bearing system.

• 대한전자공학회논문지SP
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• 제41권6호
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• pp.109-120
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• 2004

본 논문에서는 다층스케일 에지로부터 특이점 검출을 이용한 블록화 현상 제거 방법을 제안하였다. 블록 부호화된 영상에서 블록화 현상 및 에지와 같은 특이점들은 다층스케일 웨이블릿 변환 영역에서 국부 계수 최대치로 검출된다. 제안한 방법에서는 국부 계수 최대치의 Lipschitz 정칙 상수를 이용하여 블록화 현상 및 에지의 특이점들을 구분하고, 웨이블릿 변환 영역에서 블록화 현상에 의한 특이점들을 영역에 따라 스케일별로 제거한다. 실험 결과로부터 제안한 방법이 기존의 방법에 비하여 객관적 화질 및 주관적 화질 측면에서 보다 우수함을 확인하였다.

• Coupled systems mechanics
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• 제5권4호
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• pp.355-369
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• 2016

Changes in chemical structure have profound effects on the physical properties of epoxy-based materials, and eventually affect the durability of the entire system. Microscopic structural voids generally existing in the epoxy cross-linked networks have a detrimental influence on the epoxy mechanical properties, but the relation remains elusive, which is hindered by the complex structure of epoxy-based materials. In this paper, we investigate the effect of structural voids on the epoxy-based materials by using our developed mesoscale model equipped with the concept of multiscale modeling, and SU-8 photoresist is used as a representative of epoxy-based materials. Developed from the results of full atomistic simulations, the mesoscopic model is validated against experimental measurements, which is suitable to describe the elastic deformation of epoxy-based materials over several orders of magnitude in time- and length scales. After that, a certain quantity of the structure voids is incorporated in the mesoscale model. It is found that the existence of structural voids reduces the tensile stiffness of the mesoscale epoxy network, when compared with the case without any voids in the model. In addition, it is noticed that a certain number of the structural voids have an insignificant effect on the epoxy elastic properties, and the mesoscale model containing structural voids is close to those found in real systems.

• 한국멀티미디어학회논문지
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• 제8권2호
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• pp.174-180
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• 2005

영상에서 신호가 급격히 변화하는 지점은 영상의 특징을 분석함에 있어서 가장 중요한 요소이며, 영상의 위치와 모양 등에 대한 다양한 정보를 포함하고 있다. 그러므로, 이러한 에지를 검출하기 위한 많은 연구가 이루어져 왔으며, 초기에 사용한 에지 검출 연산자는 인접한 화소들 사이에 대한 관계를 이용하는 것이었다. 이 와 같은 방법들은 모든 경계 지점에서 에 지를 검출하므로, 라인-에지와 같은 일정한 폭 이하의 곡선에 대해서도 에지의 중복 검출을 수행한다. 한편, 최근 신호처리 분야에서 새로운 기법으로 제시된 웨이브렛 변환은 멀티스케일 에지 검출이 가능하며, 영상에서 에지를 포함한 특징들을 분석하는 분야에 널리 응용되고 있다. 따라서, 본 논문에서는 라인 폭에 의존하지 않는 새로운 2-D 웨이브렛 함수를 사용하여, 영상에 존재하는 다양한 폭의 곡선에서 라인-에지 성분을 검출하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권3호
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• pp.539-557
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• 2013

A novel multifocus image fusion algorithm based on NSCT is proposed in this paper. In order to not only attain the image focusing properties and more visual information in the fused image, but also sensitive to the human visual perception, a local multidirection variance (LEOV) fusion rule is proposed for lowpass subband coefficient. In order to introduce more visual saliency, a modified local contrast is defined. In addition, according to the feature of distribution of highpass subband coefficients, a direction vector is proposed to constrain the modified local contrast and construct the new fusion rule for highpass subband coefficients selection The NSCT is a flexible multiscale, multidirection, and shift-invariant tool for image decomposition, which can be implemented via the atrous algorithm. The proposed fusion algorithm based on NSCT not only can prevent artifacts and erroneous from introducing into the fused image, but also can eliminate 'block effect' and 'frequency aliasing' phenomenon. Experimental results show that the proposed method achieved better fusion results than wavelet-based and CT-based fusion method in contrast and clarity.

• 대한기계학회논문집 C: 기술과 교육
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• 제5권1호
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• pp.69-77
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• 2017

나노기술은 IT, BT 기술과 함께 21세기에 기술혁명을 주도해 나갈 핵심 기술이기에 현재 우리나라를 비롯한 전 세계의 선진국들이 이 분야에 많은 연구 역량을 집중시키고 있고, 그 중에서도 나노소재 산업은 이 경쟁의 중심에 있다고 볼 수 있다. 본 연구에서는 기계공학 측면에서 나노소재 산업에 대하여 살펴보았다. 나노소재는 나노크기의 재료라는 점에서 기존의 마이크론 혹은 서브마이크론 재료에 서 발견할 수 없는 특별한 효과를 나타내거나 전혀 새로운 응용분야를 만들어낼 가능성이 크다. 특히 환경, 바이오, 에너지, 촉매 등 다양한 분야에서 그 응용이 기대된다.