• Korean Chemical Engineering Research
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• 제62권2호
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• pp.181-190
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• 2024

본 연구는 자성 야누스 미세 흡착제를 합성하기 위해 쉽고 빠르며 대량생산이 가능한 원심력 기반 미세유체 반응기를 개발하였다. 두 개의 정렬된 주사침과 원심분리 튜브로 구성된 다중 미세노즐을 사용함으로써 높은 균일도를 갖는 프러시안 블루와 자성 나노입자의 함입이 이루어진 미세 흡착제(PB-MNP-MAs)를 합성하였다. 등온흡착과 흡착속도 실험을 통해 다공성 구조 및 프러시안 블루 나노입자의 넓은 비표면적을 갖는 미세 흡착제의 향상된 세슘 흡착 성능을 증명하였으며 이를 통해 10분 이내의 빠른 흡착을 유도할 수 있다. 흡착 공정 후, 외부 자기장 도입을 통해 세슘 수용액 내에서 합성된 PB-MNP-MAs를 성공적으로 회수하였다. 따라서 본 연구결과를 바탕으로 생물 및 환경 제염 분야에서 기능성 흡착제 발전을 위한 새로운 방향성을 제공해 줄 것으로 기대한다.

• 한국측량학회지
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• 제18권2호
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• pp.179-189
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• 2000

본 연구는 도시토지이용의 적합성분석을 실시하는데 있어 GSIS와 인공신경망의 유기적인 결합을 시도해 보았다. 인공신경망은 학습이라는 과정을 통해 신경망 노드(node)간의 연결강도를 합리적으로 결정할 수 있는 이점이 있다. 이러한 점에서 공간분석에서 요구되는 인자간의 경중률과 신경망의 연결강도는 대체가 가능하리라 판단된다. 본 연구를 수행하기 위해 두 종류의 신경망을 구성하였다. 1차 신경망은 토지이용별 적합성 분석에 적용했으며, 2차 신경망은 최적의 토지이용패턴을 분석하기 위해 구성하였다 이들 신경망은 C++로 작성된 프로그램에 의해 구현된 최급강하법에 의한 역전파 알고리즘에 의해 학습을 실시하였으며, 활성화 함수는 시그모이드 함수를 사용하였다. 분석결과는 현행 용도지역제에서 주거, 상업, 공업, 녹지에 대한 토지이용 적합도면과 4가지 유형의 토지이용에 대한 대상지역의 최적토지이용패턴을 제시한 도면으로서 Arc/Info의 Grid 형식으로 작성하였다. 또한 토지이용별 적합도면상에 나타난 적합지역과 최적토지이용패턴은 위치적인 면과 공간 구성에 있어 실제의 도시토지이용계획의 이론적인 개념에 매우 합치되는 분포형태를 보였다.

• 한국농공학회논문집
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• 제61권2호
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• pp.63-74
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• 2019

The objective of this study was to evaluate the influence of rainfall observation network on daily dam inflow using artificial neural networks(ANNs). Chungju Dam and Soyangriver Dam were selected for the study watershed. Rainfall and dam inflow data were collected as input data for construction of ANNs models. Five ANNs models, represented by Model 1 (In watershed, point rainfall), Model 2 (All in the Thiessen network, point rainfall), Model 3 (Out of watershed in the Thiessen network, point rainfall), Model 1-T (In watershed, area mean rainfall), Model 2-T (All in the Thiessen network, area mean rainfall), were adopted to evaluate the influence of rainfall observation network. As a result of the study, the models that used all station in the Thiessen network performed better than the models that used station only in the watershed or out of the watershed. The models that used point rainfall data performed better than the models that used area mean rainfall. Model 2 achieved the highest level of performance. The model performance for the ANNs model 2 in Chungju dam resulted in the $R^2$ value of 0.94, NSE of 0.94 $NSE_{ln}$ of 0.88 and PBIAS of -0.04 respectively. The model-2 predictions of Soyangriver Dam with the $R^2$ and NSE values greater than 0.94 were reasonably well agreed with the observations. The results of this study are expected to be used as a reference for rainfall data utilization in forecasting dam inflow using artificial neural networks.

• Journal of Communications and Networks
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• 제12권5호
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• pp.442-448
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• 2010

Cooperative relaying methods have attracted a lot of interest in the past few years. A conventional cooperative relaying scheme has a source, a destination, and a single relay. This cooperative scheme can support one symbol transmission per time slot, and is caned full rate transmission. However, existing fun rate cooperative relay approaches provide asymmetrical gain for different transmitted symbols. In this paper, we propose a cooperative relaying scheme that is assisted with dual relays and provides full transmission rate with the same macro-diversity to each symbol. We also address equalization for the dual relay transmission system in addition to addressing the issues concerning the improvement of system performance in terms of optimal power allocations.

• 가정과삶의질연구
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• 제27권2호
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• pp.45-61
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• 2009

The purpose of this study was to develop an understanding of older consumers' lifestyle, and to provide the basic information for developing silver commodities and, in turn, to stimulate the silver industry which has received attention as a next-generation industry. The study divided elderly consumers into four lifestyle categories and analyzed the difference in demographic characteristics among these categories as well as differences in demand for silver products. Data were collected with questionnaire and analyzed with frequency analysis, factor analysis, K-means cluster analysis, one-way ANOVA, and a $x^2$ test using SPSS 15.0. Four different lifestyles categories were identified among elderly consumers : conservative and stability oriented (22 persons, 33.3% of the sample), progressive and relation oriented (22 persons, 15.0%), reality adapted (52 persons, 35.4%), and traditional (24 persons, 16.4%). The demand for silver products demands was significantly different among elderly consumers in the four different lifestyle groups.

• 전자통신동향분석
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• 제26권5호
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• pp.161-176
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• 2011

최근 세계적으로 새로운 연구분야로서 그린 망(green network)의 에너지 효율에 관한 많은 연구와 학계 산업계 프로젝트가 활발히 진행되고 있고 많은 이슈가 오픈되어 폭 넓은 융합이 요구되고 있다. 이는 그린 통신망의 에너지 효율화 기술, 방법 및 솔루션이 미래 통신망을 크게 발전시킬 것으로 전망되기 때문이다. 본 고에서는 세계적으로 에너지 효율이 중요한 연구범위가 되고 있는 통신망의 에너지 소모를 줄이기 위하여 연구 및 산업 커뮤니티에 의해 시도된 주요 개념과 방법을 살펴보고 또한, 에너지 효율화와 관련된 세계 각국의 연구 동향과 표준을 알아본다.

• 센서학회지
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• 제21권1호
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• pp.28-33
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• 2012

The visual sensing of human hands plays an important part in many man-machine interaction/interface systems. Most existing visionbased hand detection techniques depend on the color cues of human skin. The RGB color image from a vision sensor is often transformed to another color space as a preprocessing of hand detection because the color space transformation is assumed to increase the detection accuracy. However, the actual effect of color space transformation has not been well investigated in literature. This paper discusses a comparative evaluation of the pixel classification performance of hand skin detection in four widely used color spaces; RGB, YIQ, HSV, and normalized rgb. The experimental results indicate that using the normalized red-green color values is the most reliable under different backgrounds, lighting conditions, individuals, and hand postures. The nonlinear classification of pixel colors by the use of a multilayer neural network is also proposed to improve the detection accuracy.

• 한국지하수토양환경학회:학술대회논문집
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• 한국지하수토양환경학회 2006년도 총회 및 춘계학술발표회
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• pp.391-393
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• 2006

In this study, the performance of artificial neural network (ANN) models for estimating spatial distribution of water quality was evaluated using electric conductivity (EC) values in landfill site. For the ANN model development, feedforward neural networks and backpropagation algorithm with gradient descent method were used. In Test 1, the interpolation ability of the ANN model was evaluated. Results of the ANN model were more precise than those of the Kriging model. In Test 2, spatial distributions of EC values were predicted using precipitation data. Results seemed to be reasonable, however, they showed a limitation of ANN models in extrapolations.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제3권1호
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• pp.66-71
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• 2003

In the past, when there were few vehicles on the road, the T.O.D.(Time of Day) traffic signal worked very well. The T.O.D. signal operates on a preset signal cycling which cycles on the basis of the average number of average passenger cars in the memory device of an electric signal unit. Today, with increasing traffic and congested roads, the conventional traffic light creates startup-delay time and end lag time so that thirty to forty-five percent efficiency in traffic handling is lost, as well as adding to fuel costs. To solve this problem, this paper proposes a new concept of optimal green time algorithm, which reduces average vehicle waiting time while improving average vehicle speed using fuzzy rules and neural networks. Through computer simulation, this method has been proven to be much more efficient than fixed time interval signals. Fuzzy Neural Network will consistanly improve average waiting time, vehicle speed, and fuel consumption.

• 대한화장품학회:학술대회논문집
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• 대한화장품학회 2003년도 IFSCC Conference Proceeding Book II
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• pp.307-307
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• 2003

Strategies to make finished products more stable and efficacious can take advantage of formulation technologies- ingredients and techniques - to improve their delivery into the skin by both enhanced penetration and delayed release. Nanometer range particles and emulsion droplets can be formed with a selection of either silicone copolyol or conventional organic surfactants and dispersion shear rates sufficient to generate stable submicron droplets. By incorporating these into systems with biomimetic liquid crystalline gel networks in either simple or multiple phase emulsions the skin delivery can be enhanced as shown in tape stripping experiments. Such systems can stabilize labile actives, such as Vitamin C and retinol, and aid delivery. Laboratories in U.S and Europe investigated actives including green tea polyphenols, salicylic acid and methyl and benzyl nicotinate.