• 대한임베디드공학회논문지
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• 제14권1호
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• pp.1-9
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• 2019

In this paper, we propose a method of generating a 2D gray image from LiDAR 3D reflection intensity. The proposed method uses the Fully Convolutional Network (FCN) to generate the gray image from 2D reflection intensity which is projected from LiDAR 3D intensity. Both encoder and decoder of FCN are configured with several convolution blocks in the symmetric fashion. Each convolution block consists of a convolution layer with $3{\times}3$ filter, batch normalization layer and activation function. The performance of the proposed method architecture is empirically evaluated by varying depths of convolution blocks. The well-known KITTI data set for various scenarios is used for training and performance evaluation. The simulation results show that the proposed method produces the improvements of 8.56 dB in peak signal-to-noise ratio and 0.33 in structural similarity index measure compared with conventional interpolation methods such as inverse distance weighted and nearest neighbor. The proposed method can be possibly used as an assistance tool in the night-time driving system for autonomous vehicles.

• Journal of Biosystems Engineering
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• 제36권2호
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• pp.122-129
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• 2011

This study was performed to develop a wireless system for measuring agricultural atmospheric factors using ubiquitous sensor network(USN). In the study, temperature, humidity and light intensity were selected and evaluated as major agricultural atmospheric factors. An USN system was designed and implemented by using Zigbex I and II (mote sensor nodes of MICA series) provided by Hanback Electronics, Korea. The system was tested in a greenhouse and an orchard. The experiment results showed that the suggested USN measuring system would be very effective on comprehensive measurement of the selected factors on the basis of time, day, spatial sequence with reasonable costs.

• 한국화재소방학회:학술대회논문집
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• 한국화재소방학회 1997년도 International Symposium on Fire Science and Technology
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• pp.282-288
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• 1997

The purpose of this paper is to predict the situation of leak in closed space using an Artificial Neural Network (ANN). The existing system can't monitor the whole He situations with on/off signals. Especially the first stage of data determines the leak spot and intensity is disregarded in gas accidents. To complement these faults, a new prototype of monitoring system is proposed. Ihe system is composed of'sensing systenL data acquisition system computer, and ANN implemented in software and is capable of identifying the leak spot and intensity in closed space. The concentration of gas is measured at the 4 different places. The network has 3 layers that are composed of 4 input Processing Element (PE),24 hidden PEs, md 4 output PEs. The ANN has optimum condition through several experiments and as a consequence the recognition rate of93.75% is achieved finally

• 터널과지하공간
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• 제25권4호
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• pp.341-358
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• 2015

본 연구에서는 불연속암반의 모사기법인 3차원 불연속균열망(Discrete Fracture Network, DFN)모델의 구성 및 해석 코드인 FracMan을 이용하여, DFN모델에서의 불연속면의 밀도(fracture intensity), 불연속면의 방향성(fracture orientation), 불연속면의 크기(fracture size), 불연속면의 모양(fracture shape) 등의 불연속면의 특성인자간의 관계를 분석하고자 하였다. $100m{\times}100m{\times}100m$ 모델영역에서 균열의 선형밀도($P_{10}$)와 불연속면을 구성하는 인자 간의 상관관계 분석을 위해 민감도 분석을 수행하였다. 본 연구 결과, 불연속면의 밀도에 가장 큰 영향을 미치는 인자로는 불연속면의 방향성 인자인 선주향(Trend)과 선경사(Plunge)로 나타났다. 불연속면의 체적밀도($P_{32}$)의 계산을 위해서 불연속면의 선주향이 $10^{\circ}$, $30^{\circ}$, $60^{\circ}$, $90^{\circ}$, $120^{\circ}$, $150^{\circ}$, $180^{\circ}$인 7가지 경우와 선경사가 $5^{\circ}$, $15^{\circ}$, $30^{\circ}$, $45^{\circ}$, $60^{\circ}$, $75^{\circ}$, $85^{\circ}$인 7가지 경우에서의 수직, 수평시추일 경우에 관한 $P_{10}$의 환산인자($C_{13}$)를 도출하였다. 본 연구의 결과가 불연속균열망 모델을 구성하고 이해하는 데 효과적으로 사용될 수 있을 것이다.

• IMMUNE NETWORK
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• 제16권2호
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• pp.109-115
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• 2016

To find the relation between exercise and cytokines, we examined the effect of the training intensity on the levels of cytokines, including interferon-gamma (IFN-γ), interlukine-4 (IL-4) and interlukine-4/interferon-gamma ratio (IL-4/IFN-γ ratio) in female Futsal players. Twelve well-trained female college Futsal players aged 19~22 participated in this study. The athletes completed 30-min of running at 60~65% maximal heart rate [moderate-intensity exercise], and 30-min of running at 75~80% maximal heart rate [high-intensity exercise]. peripheral blood samples were collected 24 h before and 24 h and 48 h after each of the exercise bouts. finding showed that The 30-min bout of moderate-intensity exercise induced a significant increase in IFN-γ (p=0.01) and significant decreases in IL-4 (p=0.001) and IL-4/IFN-γ ratio (p=0.003). And also, 30-min of running at 75~80% maximal heart rate induced increase in IFN-γ (p=0.07) and decreased in IL-4 (p=0.01) and IL-4/IFN-γ ratio (p=0.06) that these changes not significantly. In summary, exercise intensity can effect on the magnitude of changes in cytokines. It seems that moderate intensity exercise enhances cytokine pattern in female college Futsal players.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.278-281
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• 2006

Korea Meteorological Administration(KMA) has issued the tropical storm(typhoon) warning or advisories when it was developed to tropical storm from tropical depression and a typhoon is expected to influence the Korean peninsula and adjacent seas. Typhoon information includes current typhoon position and intensity. KMA has used the Dvorak Technique to analyze the center of typhoon and it's intensity by using available geostationary satellites' images such as GMS, GOES-9 and MTSAT-1R since 2001. The Dvorak technique is so subjective that the analysis results could be variable according to analysts. To reduce the subjective errors, QuikSCAT seawind data have been used with various analysis data including sea surface temperature from geostationary meteorological satellites, polar orbit satellites, and other observation data. On the other hand, there is an advantage of using the Subjective Dvorak Technique(SDT). SDT can get information about intensity and center of typhoon by using only infrared images of geostationary meteorology satellites. However, there has been a limitation to use the SDT on operational purpose because of lack of observation and information from polar orbit satellites such as SSM/I. Therefore, KMA has established Advanced Objective Dvorak Technique(AODT) system developed by UW/CIMSS(University of Wisconsin-Madison/Cooperative Institude for Meteorological Satellite Studies) to improve current typhoon analysis technique, and the performance has been tested since 2005. We have developed statistical relationships to correct AODT CI numbers according to the SDT CI numbers that have been presumed as truths of typhoons occurred in northwestern pacific ocean by using linear, nonlinear regressions, and neural network principal component analysis. In conclusion, the neural network nonlinear principal component analysis has fitted best to the SDT, and shown Root Mean Square Error(RMSE) 0.42 and coefficient of determination($R^2$) 0.91 by using MTSAT-1R satellite images of 2005. KMA has operated typhoon intensity analysis using SDT and AODT since 2006 and keep trying to correct CI numbers.

• 공업화학
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• 제20권6호
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• pp.681-684
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• 2009

흐름 형태 시료의 탁도와 레이저 산란광 밝기의 관계는 비선형적이나 탁도 시료에 따라 레이저 산란광 화상은 형태가 서로 상이하다. 레이저 산란광 화상의 패턴을 이용하면 탁도 측정이 용이할 것이다. 그러나 레이저 산란광 화상의 모든 화소의 red, green, blue intensity (intensity)로 탁도를 측정하는 것은 분석에 과도한 부하가 발생한다. 따라서 과도한 부하를 줄이기 위하여 레이저 산란광 화상 분할하였다. 분할된 레이저 산란광 화상은 탁도에 따라 형태가 서로 상이함을 알 수 있었다. 분할된 레이저 산란광 화상의 intensity와 탁도로 학습된 인공신경망으로 측정된 탁도가 실제 탁도와 선형 관계임을 알 수 있었다.

• 농촌계획
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• 제11권1호
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• pp.1-8
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• 2005

The purpose of this study is to develop a simulation model of rural road path for infrastructure of green-tourism and public service in rural areas. This study makes an objective function for moving cost minimization considering car travel time according to road characteristics, which can route the optimal shortest road paths between the center places and all rear villages, based on GIS coverages of road-village network for connecting between center places and rural villages as input data of the model. In order to verify the model algorithm, a homogeneous hexagonal network, assuming distribution of villages with same population density and equal distance between neighborhood villages on a level plane area, was tested to simulate the optimal paths between the selected center nodes and the other rear nodes, so that the test showed reasonable shortest paths and road intensity defined in this study. The model was also applied to the actual rural area, Ucheon-myun, which is located on Hoengsung-gun, Kangwon-do, with 72 rural villages, a center village (Uhang, 1st center place) in the area, a county conte. (Hoengsung-eup, 2nd center place), and a city (Wonju, 3rd center place), as upper settlement system. The three kinds of conte. place, Uhang, Hoengsung-eup, and Wonju, were considered as center places of three scenarios to simulate the optimal shortest paths between the centers and rural villages, respectively. The simulation results on the road-village network with road information about pavement and width of road show that several spans having high intensity of road are more important that the others, while some road spans have low intensity of road.

• 비파괴검사학회지
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• 제21권1호
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• pp.80-90
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• 2001

AE 신호와 재료의 기계적 물성과의 관계를 정량적으로 제시할 수 있는 방법을 개발하였다. 재료의 여러 가지 기계적 성질들 중 피로균열 거동에 관련된 응력확대계수를 중심으로 AE 신호와 같은 다변량 데이터의 처리에 많이 사용되고 있는 주성분 회귀분석과 비선형적 문제 해결에 적합한 신경회로망 기법을 이용하였다. 이를 위하여 강교량 부재인 SWS490B 강에 대한 피로균열전파 실험을 수행하였으며 표준 CT 시편에 대한 피로균열진전 시 발생하는 AE 신호의 각 변수와 응력확대계수와의 관계를 고찰하였다. 통계분석 방법인 변수선택법을 적용한 결과 AE 카운트(RC), 에너지(EN), 신호지속시간(ED)의 각각에 대한 유의성이 높은 것으로 나타났으나 전반적으로 전체 AE 변수를 모두 이용할 경우 통계적 유의성이 높은 것으로 나타났다. 부재의 반복하중 시 발생하는 피로균열진전을 정량적으로 도출할 수 있는 응력확대계수 추정모델을 개발하고 평가하였다. 미지 시료에 대하여 개발된 모델의 응력확대계수 예측 성능을 분석한 결과 주성분 회귀모델과 인공신경망 모델 모두 우수한 예측성능을 나타내었으나 전반적으로 인공신경망 모델이 주성분 회귀모델보다 다소 양호한 것으로 분석되었다.

• 대한전자공학회논문지TC
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• 제46권7호
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• pp.13-23
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• 2009

본 논문에서는 계층간 교차 (Cross-Layer) 개념을 적용하여 터보 (Turbo) 부호화된 광 (Optical) 부호분할 다중접속 (CDMA : Code Division Multiple Access) 시스템의 네트워크 성능을 분석하고 실험하였다. 계층간 교차 개념은 물리 (Physical) 계층과 매체접근제어 (MAC : Medium Access Control) 계층을 고려하였다. 시스템은 펄스위치변조 (PPM : Pulse Position Modulation)를 적용한 강도변조/직접검파 (IM/DD : Intensity Modulation/Direct Detection) 방식의 광 시스템을 고려하였다. 그리고 시스템의 성능을 향상시키기 위해 병렬 연접된 길쌈부호 (PCCC : Parallel Concatenated Convolutional Code)로 이루어진 터보 부호를 사용하였다. 네트워크의 성능은 비트오류확률 (BEP : Bit Error Probabiliy) 측면에서 분석되었다. 모의실험 결과, 터보 부호는 적당한 부호화 및 복호화 복잡도에서 상당한 부호화 이득을 제공하는 것을 확인할 수 있었다. 또한 일정한 부호화율 (Code Rate)에서 인터리버 길이와 복호과정에서의 반복 복호 횟수를 증가시킬수록 시스템 성능이 향상되는 것을 확인하였다.