• Toxicological Research
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• v.28 no.3
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• pp.201-207
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• 2012

In order to evaluate the physical and psychological health effects from automobile air pollution, 99 employees who worked near a main street were given a general health questionnaire, and the prevalence of their subjective complaints was measured. The collected data were classified according to gender, sleep time, degree of regular exercise, self-consciousness of symptoms, length of employment, work time, rest time, and smoking status. The results obtained were summarized as follows: The scores related to health complaints regarding physical and psychological items were higher in females than in males. THI scores were higher for the < 4 hour sleep time group. The health complaint scores for physical items were higher in the regular exercise group, whereas most scores for mental items were higher in the irregular exercise groups. The health complaints scores for physical and psychological items were higher in the unhealthy symptom group than in other groups. Those employees who had worked for > 4 years showed significantly higher rates of complaints regarding the eyes and skin. THI scores were higher for the < 6 hour working time group. The smoking group showed higher scores regarding health complaints related to physical items. The THI scores of the respiratory organs, mouth, anus, and digestive organs were significantly higher for the smoking group than for the non-smoking group. In summary, this study shows that the health complaint scores regarding physical and psychological symptoms tended to be higher among the unhealthy group, the less sleep time group, the less work time group, smokers, and females. These results can be used to improve the psychosomatic health status and working environments of employees who work near a main street.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.515-518
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• 2019

Semantic segmentation has remained as a challenging problem in the field of computer vision. Given the immense power of Convolution Neural Network (CNN) models, many complex problems have been solved in computer vision. Semantic segmentation is the challenge of classifying several pixels of an image into one category. With the help of convolution neural networks, we have witnessed prolific results over the time. We propose a convolutional neural network model which uses Fully CNN with deconvolutional pixel layers. The goal is to create a hierarchy of features while the fully convolutional model does the primary learning and later deconvolutional model visually segments the target image. The proposed approach creates a direct link among the several adjacent pixels in the resulting feature maps. It also preserves the spatial features such as corners and edges in images and hence adding more accuracy to the resulting outputs. We test our algorithm on Karlsruhe Institute of Technology and Toyota Technologies Institute (KITTI) street view data set. Our method achieves an mIoU accuracy of 92.04 %.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.10
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• pp.439-446
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• 2015

Recently, semantic trajectories which combine GPS positions and POIs(Point of Interests) become more popular in order to expand location based services. To construct semantic trajectories, the existing algorithms exploit the extent information of POIs described as polygons and find overlapping regions between GPS positions and the extents. However, the algorithms are not applicable in the condition where the extent information is not provided such as in Google Map, Naver Map, OpenStreetMap and most of the open geographic information systems. In this paper, we provide a novel algorithm to construct semantic trajectories only with GPS positions and POI points but without POI extents.

• Journal of Korea Planning Association
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• v.53 no.7
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• pp.49-66
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• 2018

The purpose of this study is to analyze neighborhood environmental factors affecting bicycle accidents and accidental severity in Seoul, Korea. The use of bicycles has increased rapidly as daily transportation means in recent years. As a result, bicycle accidents are also steadily increasing. Using Traffic Accident Analysis System (TAAS) data from 2015 to 2017, this study uses negative binomial regression analysis to identify neighborhood environmental factors affecting bicycle accidents and accidential severity. The main results are as follows. First, bicycle accidents are more likely to occur in commercial and mixed land use areas where pedestrians, bicycle and vehicles are moving together. Second, bicycle accidents are positively associated with road structures such as four-way intersection. In contrast, three-way intersection is negatively associated with serious bicycle accidents. The density of speed hump or street tree is negatively associated with bicycle accidents and accidential severity. This finding indicates the effect of speed limit or street trees on bicycle safety. Fourth, bicycle infrastructures are also important factors affecting bicycle accidents and accidential severity. Bicycle-exclusive roads or bicycle-pedestrian mixed roads are positively associated with bicycle accidents and accidential severity. Finally, this study suggests policy implications to improve bicycle safety.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.10
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• pp.91-102
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• 2019

Gwangbok is the best example of the dramatic changes after the 1970s in residential and urban planning as political power shifted from Kim Il-sung to his son. Kim Jong-il. Therefore, despite the limited available data on North Korea, we first attempted to accurately describe the design process used to develop Gwangbok. This study investigated the following aspects of North Korean urban planning by examining Gwangbok. First, we clarified Kim Jong-il's aesthetics, which had a key role in the Gwangbok design. We particularly analysed the ideas expressed in his literary writings. Second, we identified the major ideas of the North Korean architects and urban planners who implemented Kim Jong-il's interventions. Last, we reviewed the Soviet Union's influence on the discourse about North Korean residential and urban planning during the post-Khrushchev era. This analysis improves our understanding of the trends during the 1970s and 1980s in socialist residential construction, which was a relatively flexible and open prefabrication approach.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.36 no.5
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• pp.23-32
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• 2020

Recently, women's fear of crime continues to increase in space of everyday. By the way, the fear of crime has the spatial properties as crime. Therefore, The purpose of this study is to evaluate the spatial dependence of fear of crime and to suggest the physical environmental factors influencing fear of crime. For this, a spatial regression analysis using spatial weights was conducted based on the location data of the fear of crime measured through a survey. The results of this study are as follows; First, the fear of crime felt by women in their twenties who are vulnerable to crime has spatial dependence. Therefore, it is necessary to consider the spatial characteristics in analyzing the environmental factors affecting this. Second, in order to reduce the fear of crime, it is necessary to improve the environments of old housing and entertainment facilities. There is also a need for ongoing management. Third, careful consideration is needed in the installation of CCTV and street lights, which are factors influencing the fear of crime. It is necessary to establish a reasonable arrangement standard for CCTV and to analyze the street lighting in detail.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.6_1
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• pp.927-939
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• 2022

This study was conducted to develop a Web-GIS based monitoring module of smart city that can effectively respond, manage and improve situation in all stages of illegal dumping management on a city scale. First, five technologies were set for the core technical elements of the module configuration. Five core technical elements are as follows; video screening technology based on motion vector analysis, human behavior detection based on intelligent video analytics technology, mobile app for receiving civil complaints about illegal dumping, illegal dumping risk model and street cleanliness map, Web-GIS based situation monitoring technology. The development contents and results for each set of core technical elements were evaluated. Finally, a Web-GIS based 'illegal dumping monitoring module' was proposed. It is possible to collect and analyze city data at the local government level through operating the proposed module. Based on this, it is able to effectively detect illegal dumpers at relatively low cost and identify the tendency of illegal dumping by systematically managing habitual occurrence areas. In the future, it is expected to be developed in the form of an add-on module of the smart city integration platform operated by local governments to ensure interoperability and scalability.

• Journal of Practical Agriculture & Fisheries Research
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• v.15 no.1
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• pp.107-121
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• 2013

This study was developed to investigate the effects of privately owned public space (POPS) on urban streetscape and to find ways to prevent the discontinuation of street continuity on urban landscape when creating POPS in urban space and the surrounding streets. Several case studies and policies and laws related to POPS were reviewed to identify the practical problems as well as current state. An additional analysis was conducted on the different types of POPS to examine spatial connections between them and streetscapes and to find ways to improve POPS on urban streetscape. Our results show that POPS surrounding a building (i.e. frontage space and adjacent sidewalks) should be considered as one space in the integrated perspective. In addition, the type of facilities installed on POPS would be decided according to whether POPS is recognized as the part of public rest area or treated as the part of street. The results of the study will serve as useful data to solve the current problems with city's POPS, which destroys spatial continuity by focusing on increasing the number of POPS and creates high-rise buildings isolated from existing spaces. This study will also contribute to improve the quality of future POPS.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.12
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• pp.1939-1949
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• 2008

The purpose of this study was to identify differences or similarities across the ensembles of 2006 F/W fashion trends in the big fashion centers such as Paris, London, New York, and Seoul, by street fashion research. The study focuses on understanding of localized fashion trend in the marketplace. We used photograph observation and analyzed data by SPSS program. We found there is a significant difference in winter outfits at these different global fashion mega cities. Most Korean women were wearing light colored outer jackets and blue jeans were dominant style for pants. The majority of Paris/London, New York and Seoul people on the street were wearing wool/wool like coat. Padded coats were worn more by New Yorkers than by people in Seoul. For the bottom, there is a similarity between Paris/London, and New York City, in that skinny pants were popular. Koreans were wearing skinny pants mostly, but the percentage of mini skirts/shorts was also higher than any other cities. We found that the cross-cultural fashion mega trend is similar in clusters, but there is a slight difference of trend in clothing color, style and design details, and accessories by localized fashion cities. Not only direct observation but also identification of cultural characteristics and consumer behavior through the years will bring much more contributions to apparel industries.

• Journal of the Korean Institute of Landscape Architecture
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• v.42 no.1
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• pp.89-103
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• 2014

This study analyzed the preference depending on street planting types and visual characteristics on Dongdaegu-ro located in Suseong-gu, Daegu Metropolitan City. The Single Row Roadside, Central Sidewalk Plantings, Double Row Parallel and Alternate Plantings were selected as the planting types. The plantings were divided at intervals of 4, 7 and 10 meters. A survey was conducted by dynamic simulation produced from pedestrian perspective. As a result, in single planting, the single central sidewalk planting with 4 meter-interval showed a high landscape preference 4.64. In addition, in double planting, the double alternate planting with 7 meter-interval showed the highest landscape preference 5.01. The factors that had the greatest effect on the landscape preference were 'comfortable' and 'beautiful'. It was considered that they should be preferentially taken into account in producing landscapes by planting. It was considered that they should be preferentially taken into account. It is also considered that this study will be used for objective data and planting plan for establishing the comfortable and high quality streetscape by quantitative evaluation of the visual characteristics and preference according to the street planting types.