• KIEAE Journal
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• v.7 no.4
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• pp.23-30
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• 2007

In Korea, the top priority of the exterior space in the urban commercial street has been put on the road and parking for cars, not on the street for pedestrians, because of the lack of institutional urban planning, the land use of high density, the pursuit of maximum commercial profit, etc. Also, it is true that the form and facade of the street buildings which form the characteristics of the commercial street are regarded as the consumption-stimulating tool and, subsequently, are symbolized for commercial profit. This study starts from the recognition of reality, and, with the perspective of general plan for urban exterior space, tries to improve the environmental design of street space. Also, this study searches the ways to enhance the cultural, art, aesthetic and functional values of a city, as well as the ways to promote commercial activities and to perform commercial symbolism and pedestrian functions. This study aims at exploring the importance of street environmental design and the information of environmental design, so that the problems of current street environment, which generates the disorder and chaos of information, may be solved. Also, this study aims at promoting the continuous development for the future street environmental design and design plan.

• Journal of Korean Society for Geospatial Information Science
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• v.22 no.1
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• pp.55-62
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• 2014

Diverse improvement projects such as replacing street lamps with LED, street trees, etc are currently in progress in Korea to reduce greenhouse gas so as to cope with change in climate. However, the effect of climate change policy is not exactly analyzed, because exhaust quantity and absorption quantity of greenhouse gas of the target street lamp and street trees are not arranged as information. Thus, this study studied the method to systematically manage low carbon related information of urban facilities by using GIS. It was found that low carbon information of the urban facilities is necessary to exactly analyze effect of climate change policy and the method to calculate carbon exhaust quantity and absorption quantity of each facilities should be established to build exact low carbon information of urban facilities. Further, it was found that the visualization of information related to low carbon of street lamp and street trees by using GIS easily and visually grasps and systematically controls the effect of policy coping with change in climate than the existing numeral data of exhaust quantity and absorption quantity of greenhouse gas.

• Journal of the Korean Data and Information Science Society
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• v.16 no.4
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• pp.879-888
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• 2005

Fashion is hard to expect owing to the rapid change in accordance with consumer taste and environment, and has a tendency toward variety and individuality. Especially street fashion of 21st century is not being regarded as one of the subcultures but is playing an important role as a fountainhead of fashion trend. Therefore, Searching and analyzing street fashions helps us to understand the popular fashions of the next season and also it is important in understanding the consumer fashion sense and commercial area. So, we need to understand fashion styles quantitatively and qualitatively by providing visual data and dividing images. There are many kinds of data in street fashion information. The purpose of this study is to design and implementation for street fashion information analysis system using data fusion. We can show visual information of customer's viewpoint because the system can analyze the fused data for image data and survey data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.195-196
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• 2018

In this paper, we introduce a new interworking control method of street lights using Zigbee modules. When a street light detects a moving object, the street light informs other street lights that it detected a moving object. A street light turns on for a predetermined time when it detects a moving object or it has received an information of detecting a moving object from other street lights.

• Journal of the Korean Association of Geographic Information Studies
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• v.3 no.1
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• pp.57-68
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• 2000

The purpose of this study is to find the most effective method of the coding methods by linking the attribute information with the digital map in Taegu metropolitan city. This study was also a precedent plan for street trees management information system and the coding schemes for street trees management information system could be summarized as follows; First, this study extracted 11 coding factors for expressing the position of street trees. Second, 11 coding schemes were made out of these coding factors and applied to the digital map(1:500). Third, two methods of 11 coding schemes were selected for street trees management information system of Taegu metropolitan city. The one was the method which applied serial numbers according to the block name. The other was the method utilizing the concept of 'dynamic segment'. Finally, this study will be the first step for the computerization and management of the street trees information and this computerized data will do for the management efficiency of the street trees on internet.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.1D
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• pp.129-136
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• 2008

Along with the development in cutting-edge digital technology, the street space is also being changed. Mobile telecommunication units and internet give a big change in a human being's lifestyle. And the ubiquitous computing is proceeding with expanding its application range from the indoor space to the street space. As the street furniture is the convenient facility that allows a human being's life in street space to be abundant, it is getting advanced. First of all, in terms of such phenomenon, this study analyzed the cases of a research on application of street space and the actual condition of a change in the number of individuals for the street furniture, through a literature research of ubiquitous. Also, it researched into the realities of using the street furniture of the walking-desired streets at Daehac-ro and Hongdae district, where are two representative places related to digital generation. The next was carried out FGI (Focus Group Interview) with users of the street space in front of Hongik University and managers of the street furniture, and was researched into the use & management behavior, and recognition level on the street furniture. Thus, the key elements were extracted such as interchange of information for cultural activities, automation for interaction variability in function. Finally the core elements for future vision of street furniture in this digital era were extracted in 3I, namely, Information, Intellectualization, and Integration. This is considered to be applied to the establishment of direction in the process of high-tech digitalization in street furniture related to information hereafter.

• Spatial Information Research
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• v.20 no.6
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• pp.45-57
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• 2012

The street trees in the urban areas provide an comfortable environment to the pedestrians and drivers and play important roles to absorb the carbons. Therefore, it is necessary to acquire and manage efficiently the location, height, and crown width of street trees. This study suggests a methodology to provide quantitative information of the street trees in urban areas including the quantity, location, height, and crown width of the trees. Therefore, it is more appropriate to add functionality of changing size of the crown width of the trees in the method. In addition, the positions of the street trees were selected using the fact that street trees are generally planted along the road in a straight line. An experiment on extracting street trees was conducted in parts of Osan-si, Gyeonggi-do and the suitability of the suggested methodology was evaluated by comparing the results to a 1/1,000 digital map. Through the experimental results, the minimum, maximum, and the root mean square errors of the position of street trees were 0.5m, 1.9m, and approximately ${\pm}0.4m$, respectively.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.6
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• pp.599-607
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• 2021

Street-view images, which are omnidirectional scenes centered on a specific location on the road, can provide various obstacle information for the pedestrians. Pedestrian network data for the navigation services should reflect the up-to-date obstacle information to ensure the mobility of pedestrians, including people with disabilities. In this study, the object detection model was trained for the bollard as a major obstacle in Seoul using street-view images and a deep learning algorithm. Also, a process for updating information about the presence and number of bollards as obstacle properties for the crosswalk node through spatial matching between the detected bollards and the pedestrian nodes was proposed. The missing crosswalk information can also be updated concurrently by the proposed process. The proposed approach is appropriate for crowdsourcing data as the model trained using the street-view images can be applied to photos taken with a smartphone while walking. Through additional training with various obstacles captured in the street-view images, it is expected to enable efficient information update about obstacles on the road.

• Journal of the Korean Association of Geographic Information Studies
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• v.13 no.1
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• pp.16-27
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• 2010

A street, as a linear factor constituting the city, is an axis of urban development. The substantial function of the street is the traffic space for the passage but now it plays the important role of the place of community where contains various activities such as meeting between people and people, rest, entertainment etc. A street is basically the 3 dimensional space consisted of the sidewalk, roadway and the roadside structures surrounding the street. In this case, the roadside structures are the physical composition factors for the street space and the facade of the roadside structures acts as important variables to form the image of street space. Thus, this study is to provide the basic data to be applied in the future urban street landscape plan by extracting the superior factors in visual and perceptional aspects which affect the image of street view from the shape composition factors which constitute the facade of the roadside structures, and by searching and analyzing the satisfaction degree and preference of each factors.

• 한국데이터정보과학회:학술대회논문집
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• 2005.10a
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• pp.35-45
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• 2005

Data fusion is method to combination data. The purpose of this study is to design and implementation for street fashion information analysis system using data fusion. It can offer variety and actually information because it can fuse image data and survey data for street fashion. Data fusion method exists exact matching method, judgemental matching method, probability matching method, statistical matching method, data linking method, etc. In this study, we use exact matching method. Our system can be visual information analysis of customer's viewpoint because it can analyze both each data and fused data for image data and survey data.