• Transactions of the Korean Society of Mechanical Engineers
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• v.10 no.1
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• pp.96-101
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• 1986

The average heat transfer coefficient of 2-D impinging jet has been augmented as much as 60% on the wall with large-scale wavy roughness. The mechanism of this heat transfer augmentation is studied with emphasis on two primary flow structures in the impinging flow region by using either the surface floating method or the smoke-wire technique. They are the stream-wise vortex-like structure, which is characteristic to the impining jet, and the spanwise vortiecs associated with the flow separation around the roughness. The combined effect of these structures can effectively augment the heat transfer particularly in the downstream region where the teat transfer usually deteriorates consicerably.

• Composites Research
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• v.34 no.2
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• pp.123-128
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• 2021

This paper dealt with multi-scale natural frequency characteristics of wavy CNT (carbon nanotube) reinforced composites by applying the Mori-Tanaka method, rule of mixture, and Halpin-Tsai equation. By compelling benefit of an ad-hoc Eshelby tensor, the load-transfer characteristics of CNT with a waviness implanted in the polymer matrix was determined. The numerical results obtained are in good agreement with those reported by other investigators. Furthermore, the new results reported in this paper show the interactions between CNT weight, waviness ratios and layup sequences of laminated composites. Key observation points are discussed and significant considerations are given in practical designing of CNT reinforced composites.

• Journal of the Korean Geographical Society
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• v.40 no.2 s.107
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• pp.221-241
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• 2005

Land Use and Land Cover Changes (LUCC) occur over a wide range of space and time scales, and involve complex natural, socio-economic, and institutional processes. Therefore, modelling and predicting LUCC demands an understanding of how various measured properties behave when considered at different scales. Understanding spatial and temporal variability of driving forces and constraints on LUCC is central to understanding the scaling issues. This paper aims to 1) assess the heterogeneity of land cover change processes over the landscape in northern Ghana, where intensification of agricultural activities has been the dominant land cover change process during the past 15 years, 2) characterise dominant land cover change mechanisms for various spatial scales, and 3) identify the optimal spatial scale for LUCC modelling in a savanna landscape. A multivariate statistical method was first applied to identify land cover change intensity (LCCI), using four time-sequenced NDVI images derived from LANDSAT scenes. Three proxy land use change predictors: distance from roads, distance from surface water bodies, and a terrain characterisation index, were regressed against the LCCI using a multi-scale hierarchical adaptive model to identify scale dependency and spatial heterogeneity of LUCC processes. High spatial associations between the LCCI and land use change predictors were mostly limited to moving windows smaller than 10$\times$10km. With increasing window size, LUCC processes within the window tend to be too diverse to establish clear trends, because changes in one part of the window are compensated elsewhere. This results in a reduced correlation between LCCI and land use change predictors at a coarser spatial extent. The spatial coverage of 5-l0km is incidentally equivalent to a village or community area in the study region. In order to reduce spatial variability of land use change processes for regional or national level LUCC modelling, we suggest that the village level is the optimal spatial investigation unit in this savanna landscape.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.25 no.4
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• pp.315-321
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• 2012

In this study, a sequential multiscale homogenization method to characterize the effective thermal conductivity of nano particulate polymer nanocomposites is proposed through a molecular dynamics(MD) simulations and a finite element-based homogenization method. The thermal conductivity of the nanocomposites embedding different-sized nanoparticles at a fixed volume fraction of 5.8% are obtained from MD simulations. Due to the Kapitza thermal resistance, the thermal conductivity of the nanocomposites decreases as the size of the embedded nanoparticle decreases. In order to describe the nanoparticle size effect using the homogenization method with accuracy, the Kapitza interface in which the temperature discontinuity condition appears and the effective interphase zone formed by highly densified matrix polymer are modeled as independent phases that constitutes the nanocomposites microstructure, thus, the overall nanocomposites domain is modeled as a four-phase structure consists of the nanoparticle, Kapitza interface, effective interphase, and polymer matrix. The thermal conductivity of the effective interphase is inversely predicted from the thermal conductivity of the nanocomposites through the multiscale homogenization method, then, exponentially fitted to a function of the particle radius. Using the multiscale homogenization method, the thermal conductivities of the nanocomposites at various particle radii and volume fractions are obtained, and parametric studies are conducted to examine the effect of the effective interphase on the overall thermal conductivity of the nanocomposites.

• Proceedings of the Korean Vacuum Society Conference
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• 2014.02a
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• pp.186.2-186.2
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• 2014

최근 친환경 에너지에 대한 관심이 증폭되면서 리튬이차전지에 대한 연구가 활발히 진행되고 있다. 특히 음극(anode) 물질의 경우 기존의 흑연(graphite)보다 이론적 용량이 약 10배 이상 높은 실리콘(Silicon)에 대한 관심이 매우 높다. 하지만 Si의 경우 리튬 충전거동 시 400% 이상의 부피팽창으로 몇 번의 충전/방전 싸이클(cycle)에 전극이 파괴되는 문제점을 지니고 있다. 이를 극복하기 위해 Si 나노선이 고려되고 있다. 우수한 전극특성을 갖는 Si 소재를 개발하기 위해서는 원자단위에서 Si 나노선의 리튬 충전 메커니즘을 살펴보는 것이 매우 중요하다. 하지만 기존의 시뮬레이션 기법으로는 Si 나노선의 볼륨팽창에 관한 메커니즘과 리튬 충전과정에서의 상변화(결정질에서 비정질) 과정을 설명하기는 기술적으로 매우 힘들다. 고전적인 분자동역학 방법의 경우 실제 나노스케일을 고려할 수 있지만, empirical potential로는 원자들간의 화학반응을 제대로 묘사할 수 없다. 한편 양자역학에 기반을 둔 제일원리방법의 경우 계산의 복잡성으로 현재의 컴퓨터 환경에서는 나노스케일에서 원자들의 동역학적인 거동을 연구하기 매우 힘들다. 우리는 이러한 문제를 해결하기 위해 실제 나노스케일에서 원자간 화학반응을 예측할 수 있는 Si-Li 시스템의 Reactive force field를 개발하였고, 분자동역학 계산방법을 이용하여 Si 나노선의 Li 충전 메커니즘을 규명하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.4B
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• pp.695-703
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• 2010

In this paper, we propose an adaptive scalable encryption scheme for the layered architecture of SVC video. The proposed method determines an appropriate set of encryption algorithms to be applied for the layers of SVC by considering the importance and priority relationship among the SVC video layers. Unlike the conventional encryption method based on a fixed encryption algorithm for the whole video layers, the proposed method applies differentiated encryption algorithms with different encryption strength the importance of the video layers. Thereupon, higher security could be maintained for the lower video layer including more important data, while lower encryption strength could be applied for the higher video layer with relatively less important data. The effectiveness of the proposed adaptive scalable encryption method is proved by extensive simulations.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.669-672
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• 2018

캡술내시경은 식도부터 항문까지 소화기관 전체를 한번에 촬영할 수 있는 의료기기로, 한번의 검사에 평균 8~12 시간 정도의 길이와 5만장 이상의 프레임으로 구성된 영상을 생성한다. 그러나 생성된 영상에 대한 분석은 수작업으로 진행되고 있어, 캡술내시경 영상 분석 자동화에 대한 기술적인 수요가 높아지고 있는 추세이다. 이를 위해, 캡슐내시경 영상 분석에 대한 많은 연구가 진행되고 있는데, 본 연구에서는 그 중에서도 폴립 영상에 대한 검출 자동화 연구에 주목하였다. 폴립이란 위장관 내에서 발견될 수 있는 융기성 병변으로, 많은 연구에서 기계학습 혹은 딥러닝 방식을 적용하여 이를 검출하기 위한 연구를 수행하였다. 그러나 캡슐내시경 영상의 특성상, 병번이 있는 영상이 굉장히 적기 때문에 일반적인 딥러닝 방식의 적용으로 좋은 성능을 내기 어렵다. 따라서 본 논문에서는 폴립 검출 컨볼루션 신경망 설계를 위한 멀티 스케일에 대한 원형 검출기법을 결합하여 폴립이 의심되는 영역을 추출해주는 특징 추출 기법으로, 수집한 데이터 150장에 대한 실험한 결과 약 82%의 성능을 보였다.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.20 no.3
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• pp.1040-1049
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• 1996

The high loading combustion is accomplished by making the turbulent intensity strong and the scale small in the premixed combustor. The Da-mkoler number, which is decreased by short turbulent characteristic time or by long chemical reaction time, can make the distributed reaction flame. So we developed a doubled jet burner for high loading combustion. The doubled jet burner was designed to make the scale of the flame small by the effect of impingement and increasing shear stress with doubled jet. We investigated the turbulence characteristics of unburned mixture and visualized several flames with the typical schlieren photography. Then we studied the influence of several factors that related the scale of flame. Consequently, the doubled jet burner can make the eddy very small. And we can obtain the detail information of the flame scale through ADSF(the Average Distance between Successive Fringes) in the micro- schlieren photography. The ADSF is not a exact flame scale, but it has qualitative trend with increasing turbulent intensity. The ADSF is diminished remarkably with increasing turbulent intensity. The reason is that strong turbulent intensity makes the flame zone thick and flamelets numerous. We can confirm this fact by the signal analysis of ion currents.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.5
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• pp.1019-1028
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• 2007

In this paper, adaptive evolutionary algorithm(AEA) is proposed, which uses both genetic algorithm(GA) with good global search capability and evolution strategy(ES) with good local search capability in an adaptive manner, when population evolves to the next generation. In the reproduction procedure, proportion of the population for GA and ES is adaptively determined according to their fitness. The AEA is used to design membership functions and scaling factors of the fuzzy logic controller(FLC). To evaluate the performance of the proposed FLC design method, we make an experiment on the FLC for the speed control of an actual DC series motor system with nonlinear characteristics. Experimental results show that the proposed controller has better performance than PD controller.

• Science of Emotion and Sensibility
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• v.13 no.2
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• pp.403-412
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• 2010

This study was aimed to consider the influence of hue-tone, dyes, and mordants of naturally dyed silk fabric on color sensibility image factors and to establish color sensibility image scales of naturally dyed silk fabric by color and image descriptors. By single or sequential dyeing with various natural dyes commercially available in domestic and foreign market on the same silk fabric, a total of 66 colored fabric stimuli were prepared and they were used to evaluate subjective color sensibility image by 40 participants. As results, four different color sensibility image factors for naturally dyed silk fabric, 'delight', 'natural', 'modern' and 'attractive' were extracted. All of factors were significantly influenced by hue-tone, dyes, and mordants. Furthermore, by using color sensibility image adjectives and colors, multidimensional image scales were established, which leads to the conclusions that the results of this study help to design color sensibility-oriented naturally dyed fabric and apparel products.