• Journal of Environmental Science International
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• v.20 no.9
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• pp.1205-1212
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• 2011

As serving people's activities, pedestrian road systems are basic and necessary facilities in urban structure. To provide and utilize these pedestrian road systems in residential area would enhance urban environment as well as quality of life. For this reason, pedestrian road should be planned by consideration of people's activity in residential area. Evaluation of existing pedestrian road should be also oriented how people use it and what people do in it. This study amis to investigate functions of pedestrian road system throughout evaluation of user's satisfaction in order to improve better pedestrian road system in residential area. The purposes of this study are to analyze components of factors affecting on user's satisfaction, and to find the relationship among affecting factors. For this study, the on-site questionnaire method was applied to 267 individuals who were collected as the study areas where locate Toyogaoka and Kaidori, Japan. The collected data were clarified exploratory factors, and analyzed relationship between the factors and satisfaction by applying quantitative statistical techniques for the mapping investigation, Mann-Whitney u-test, and correlation. The results of this study are follows. The pedestrian road system is more preferred than surroundings of vehicle roads in residential district area where maintains pedestrian road as open space. In addition, satisfactions of the pedestrian road for each purpose were highly evaluated, because of conformability and convenience for usage. Consequently, the pedestrian road which is secure and greening as an open space is well carried out for the living circulation of residents. It would suggest that pedestrian road have to be managed and planned not a function of circulation but an open space system.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.1
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• pp.116-125
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• 2014

Road conditions can provide important information for driving safety in driving assistance systems. The input images usually include unnecessary information and they need to be analyzed only in a region of interest (ROI) to reduce the amount of computation. In this paper, a vision-based road ROI determination algorithm is proposed to detect the road region using the positional information of a vanishing point and line segments. The line segments are detected using Canny's edge detection and Hough transform. The vanishing point is traced by a Kalman filter to reduce the false detection due to noises. The road ROI can be determined automatically and adaptively in every frame after initialization. The proposed method is implemented using C++ and the OpenCV library, and the road ROIs are obtained from various video images of black boxes. The results show that the proposed algorithm is robust.

• Journal of Korean Society of Environmental Engineers
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• v.37 no.2
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• pp.107-112
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• 2015

Carbon emissions in construction stage is very high because lots of construction machines and materials are required to be used at a road construction stage. Many researcher carried out application of carbon emissions estimation methodology during the life cycle of road infrastructure in order to reduce greenhouse gas emissions in the road sector. But the calculation of carbon emissions is difficult because data collection is difficult and calculation procedure is complex. In this study, a basic unit of carbon emissions in construction stage of the road infrastructure was developed in order to get the quantitative determination of carbon that occurs. Carbon emissions of the expressway and common state road was calculated by using the basic unit of carbon emissions and application plan of basic unit of carbon emissions are presented.

• Journal of Environmental Health Sciences
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• v.35 no.6
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• pp.447-453
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• 2009

Cycling has been lately recommended as an alternative commuting mode because it is believed to be good for health and the environment. However, the exposure to environmental pollutants, such as fine particulates, could be a potential problem for cycling in urban environments. In this study, we compared commuters' $PM_{10}$ exposure using the different transportation modes of bicycle and bus. When a bicycle was used as a commuting mode, the additional $PM_{10}$ exposure due to transportation was about 3.5 times higher than that when using a bus. The difference of additional $PM_{10}$ exposures by cycling and bus was statistically significant (p<0.01). The $PM_{10}$ exposure during cycling was significantly correlated with atmospheric $PM_{10}$ concentration (r=0.98, p<0.01) and its correlation coefficient was higher than that of bus (r=0.55, p<0.05). The results of this study demonstrated that the main reasons of higher $PM_{10}$ exposure when using the bicycle as the mode of transport were its vicinity to road traffic and routes that were unavoidably close to road traffic. Bicycle commuting along the road side may not be good for health. Exclusive bicycle lanes away from road traffic are recommended.

• Journal of Korea Multimedia Society
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• v.18 no.8
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• pp.925-934
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• 2015

The frequency of natural disasters because of global warming is gradually increasing, risks of flooding due to typhoon and torrential rain have also increased. Among these causes, the roads are flooded by suddenly torrential rain, and then vehicle and personal injury are happening. In this respect, because of the possibility that immersion of a road may occur in a second, it is necessary to study the rapid data collection and quick response system. Our research proposes a big data analysis system based on the collected information and a variety of system information collection methods for searching flooded road areas by torrential rains. The data related flooded roads are utilized the SNS data, meteorological data and the road link data, etc. And the big data analysis system is implemented the distributed processing system based on the Hadoop platform.

• Transactions of the Korean Society of Automotive Engineers
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• v.22 no.3
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• pp.50-59
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• 2014

This paper proposes a method of localization of vehicle especially the horizontal position for the purpose of recognizing the driving lane. Through tracking road signs, the relative position between the vehicle and the sign is calculated and the absolute position is obtained using the known information from the regulation for installation. The proposed method uses Kalman filter for road sign tracking and analyzes the motion using the pinhole camera model. In order to classify the road sign, ORB(Oriented fast and Rotated BRIEF) features from the input image and DB are matched. From the absolute position of the vehicle, the driving lane is recognized. The Experiments are performed on videos from the highway driving and the results shows that the proposed method is able to compensate the common GPS localization errors.

• Journal of the Korean Society of Industry Convergence
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• v.21 no.6
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• pp.285-299
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• 2018

Recently much attention in building smart factory has been dramatically increased. Despite the growing interest in smart factory, few practical guidelines exist how to successfully build smart factory. The purpose of this study is to postulate and develop a road map for building successful smart factory. To enhance mundane realism, we design the road map through University-Industry research collaboration. Specifically, drawing analysis of University-Industry research collaboration, we design a prototype and detailed road map or building successful smart factory. Moreover, we apply the road map into actual smart factory development. By doing so, we successfully prove the effectiveness of the road map. Therefore, this study provides the valuable guidelines and directions to build a successful smart factory. Ultimately this study is able to help a variety of factories which establish and implement smart factory. Further, we hope that this study will be placed to be an important foundation research on behalf of smart factory building.

• 대한예방의학회:학술대회논문집
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• 1998.10b
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• pp.231-232
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• 1998

• Journal of the Korean Institute of Landscape Architecture
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• v.13 no.2
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• pp.37-70
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• 1985

The purpose of this study is to present objective basic data for environmental design by the quantitative analysis of visual quality emboded in physical environment. For this, as for the front garden of high schools, the spatial image was measured by the S.D. Scale Method, Factor Analysis was proceeded by the principal component analysis and the visual preference was investigated by the Paired Comparision Method. The scale values of plain and unpleasant road surface and external appearance of buildings, which are related to emotions of simpleness fell from straightness and stability, were found to be high. But, except for the road surface of Kyunggi High School, scale values of variables explaining the variation of the quality of materials, level of floor and rythm were generally low. For all green spaces, scale values of variables explaining the degree of pleasantness was found to be generally high. And, those explaining tidiness and characteristics of green spaces were not in the same tendency. But, the green spaces of Youngdong High school can be considered to the space with plenty of visual absorption uniqueness were high. As for the correlation between variables, variables for green spaces(12 and 26) and those for overall view of front garden( 1 and 4) revealed high positive correlation. Also, "order - disorder" and "convenient- incovenient" included in road surface variable can be regarded to have the same meaning since the correlation coefficient between them is very high, 0.7045. Image variables including road surface, external appearance of buildings, green spaces and overall view of front garden showed 91.21~61.08% of total variance. Thus, the remains can be considered to be the error valiance or specific variance. In Fctor I, II and III, main components explaining the road surface image of front gardens are order, hardness, texture, color, gradient and rythm. As for the external appearance of b wilding, variables of color, hardness, stability, peculiality and shape revealed high values of factor load. For all variables, communality was drastically high and ellen values and common variance were found to be very high in Factor I. As for the front gardens, variables explaining volume and peculiarity were found to be the main components of Factor I. In Factor II and III, variables of factor load were tidiness, pleasantness.

• Journal of Environmental Impact Assessment
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• v.18 no.2
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• pp.89-97
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• 2009

Korean society is faced with various new problems arising from the development projects of new towns, industrial cities, large-scale residential complexes, etc. started from the 1970s. Particularly with the construction of residential and industrial complexes by the roadsides, they are openly exposed to road traffic noise and vibration. Thus, the objective of this study is to examine using noise maps how increasing traffic volume affects road traffic noise and what problems it causes in areas where new towns or complexes are constructed by development projects. According to the results of this study, in areas around the sites of development projects, the noise level increased by road traffic noise compared to that before development and was 1.16~6.92 times higher than the environmental noise standard, but measures to reduce road traffic noise was lukewarm. In addition, areas with soundproof facilities showed a noise level 1~3 step lower than other areas, and in individual buildings, the noise level on the side facing the road was 1~2 step higher than that on the rear side.