• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.24 no.6
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• pp.497-508
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• 2012

Occupants' visual perception, psychological responses and spatial satisfaction under various indoor lighting environments were analyzed in this study. Field measurements and surveys were conducted in four coffeeshop space where different lighting conditions were used. Results imply that worse visual comfort was reported under direct lighting conditions that exposed light sources to occupants. To improve spatial satisfaction in space, lighting environments should lessen visual thresholds and distraction. Also, necessary illuminance levels should be kept with appropriate color of light that occupants prefer. Worse spatial satisfaction was reported under direct lighting environments, and spatial satisfaction was strongly relevant to visual comfort. Psychological comfort for space was positive in space where visual thresholds were minimized and visual comfort was positively evaluated. Psychological and spatial satisfaction was relevant each other. Occupants preferred to stay longer in space where psychological and spatial satisfaction was positively achieved due to less visual thresholds and improved visual comfort. Better psychological and spatial satisfaction was achieved in space where temporary mood and visual perception were favorably evaluated under indirect lighting environments.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.17 no.6
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• pp.136-143
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• 2018

Recently, with the rapid development of virtual reality technology, there have been more and more applications of virtual reality technology in various fields. In order to realize a virtual reality, a method of implementing a visualization environment through an HMD (Head Mounted Display) is widely used. However, in the current visualization environment through the HMD, the user feels dizziness when worn, It has the disadvantage of imposing restrictions on. In this study, it is aimed to realize virtual reality visualization environment through multi-screen environment which improves the experience effect of virtual environment by using existing screen instead of visualization through HMD, and compensates for shortcomings of HMD method. In order to realize a multi-screen environment as a highly visualized environment, a technique for matching the spatial position of the multi-screen with the spatial position of the virtual environment is required. To do this, we need an efficient method to precisely measure the position of the space, and we propose a spatial position compensation methodology that can efficiently and precisely measure the position of the real space and reflect it in the virtual environment.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.32 no.4_1
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• pp.343-351
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• 2014

The correlation between regional Walkability Index and their physical socio-economic characteristics has evaluated by the spatial statistical analysis to understand the urban pedestrian environments, where has been emerging the significance, recently. Following to the study, the Walkability Indexes were calculated quantitatively from two administrative districts of Busan and measured Global Local spatial autocorrelation indices. Additionally, the Geographically Weighted Regression model was applied to define the correlation between Walkability Indexes and urban environmental variables. The spatial autocorrelation values and clusters on the Walkability Indexes were derived in statistically significant level. Furthermore, the Geographically Weighted Regression model has been derived more improved inference than the OLS regression model, so as the influence of local level pedestrian environment was identified. The results of this study suggest that the spatial statistical approach can be effective on quantitative assessing the pedestrian environment and navigating their associated factors.

• Proceedings of KOSOMES biannual meeting
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• 2018.06a
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• pp.184-185
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• 2018

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.11
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• pp.61-68
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• 2019

The analysis of outdoor and indoor spatial composition with natural elements is required for the creation of healing environment in healthcare facility to provide basic data for the planning of hospital architecture. Literature review of healing environment and investigation on characteristics of spatial composition in architectural works and healthcare facilities have been conducted. The spatial composition of outdoor space for refuge and prospect from indoor space of Seoul National University Hospital have been analyzed. The result of this research can be summarized as followed. First of all, the main natural elements for healing environment are consisted with refuge in outdoor space and prospect from indoor space. The second one is that natural elements in Seoul National University Hospital are located in central, posterior, and lateral area of main hospital and connectivity, integration, and ERAM(3) which the characteristics of outdoor spatial composition with space syntax are focused on the museum of medicine and landscape area in the center of hospital. The third one is that the outdoor refuge and prospect from indoor space in Seoul National University Hospital can be replaced with cultural heritage like the site of Kyungmogungji and Changgyeonggung palace in and next to the hospital. In addition to the outdoor and indoor spatial composition, it is necessary to analyze the relationship between elements to develop the healing environment of hospital architecture.

• Journal of Korean Society for Geospatial Information Science
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• v.24 no.4
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• pp.89-96
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• 2016

By reviewing preceding studies of big data and spatial big data, spatial big data was defined as one part of big data, which spatialize location information and systematize time series data. Spatial big data, as one part of big data, should not be separated with big data and application methods within the system is to be examined. Therefore in this study, services that spatial big data is required to provide were suggested. Spatial big data must be available of various spatial analysis and is in need of services that considers present and future spatial information. Not only should spatial big data be able to detect time series changes in location, but also analyze various type of big data using attribute information of spatial data. To successfully provide the requirements of spatial big data and link various type of big data with spatial big data, methods of forming sample points and extracting attribute information were proposed in this study. The increasing application of spatial information related to big data is expected to attribute to the development of spatial data industry and technological advancement.

• Journal of Environmental Policy
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• v.13 no.4
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• pp.51-78
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• 2014

Unlike traditional environmental problems, current environmental problems occur due to by complex reasons. These complexities highlight the importance of precise spatial based analysis and expeditive use of environmental information when an environmental problem arises. However, the traditional environmental information has many problems because they are mainly numerical based and scattered in various systems. To overcome these problems, providing integrated environmental spatial information is important. Thus, a research was conducted on establishing national environment atlas system and its implications for policies. Firstly, this study selects 275 out of 2,701 materials and information from Ministry of Environment and related organizations. Secondly, total 64 thematic maps specific business support are Produced to support establishment and implementation of environmental policies. In addition, the produced thematic maps are privatized. Thirdly, the study analyzes total 17 systems and environmental thematic maps of Ministry of Environment and relevant organizations to connect the information on the business support thematic maps. As a result, 1,314 applicable spatial information and 39,331 applicable database based on spatial information based are selected, and a standardization plan is established. Fourthly, the study suggests a stepwise implementation plan for developing a national environment atlas system. The development of national environment atlas system will help establishing an environmental policy based on more relevant and accurale information.

• Journal of Korea Planning Association
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• v.54 no.2
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• pp.93-108
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• 2019

This study examines the relationship between three-dimensional urban built environment and urban surface temperature using LANDSAT 8 satellite image data in Seoul city. The image was divided into 600m×600m grid units as an unit of analysis. Due to the high level of spatial dependency in surface temperature, this study uses spatial statistics to take into account spatial auto-correlation. The spatial error model shows the best goodness of fit. The analysis results show that the three-dimensional built environment and transport environment as well as natural environment have statistically significant associations with surface temperature. First, natural environment variables such as green space, streams and river, and average elevation show statistically significant negative association with surface temperature. Second, the building area shows a positive association with surface temperature. In addition, while sky view factor (SVF) has a positive association with surface temperature, surface roughness (SR) shows a negative association with it. Third, transportation related variables such as road density, railway density, and traffic volume show positive associations with surface temperature. Moreover, this study finds that SVF and SR have different effects on surface temperature in regard to the levels of total floor areas in built environment. The results indicate that interactions between floor area ratio (FAR) and three-dimensional built environmental variables such as SVF and SR should be considered to reduce urban surface temperature.

• Spatial Information Research
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• v.20 no.1
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• pp.59-69
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• 2012

For the USN(Ubiquitous Sensor Network) environment which generally uses spatial sensor data as well as aspatial sensor data, a sensor database system to manage these sensor data is essential. In this reason, some sensor database systems such as TinyDB, Cougar are being developed by many researchers. However, since most of them do not support spatial data types and spatial operators to manage spatial sensor data, they have difficulty in processing spatial sensor data. Therefore, this paper developed a spatial sensor database system by extending TinyDB. Especially, the system supports spatial data types and spatial operators to TinyDB in order to manage spatial sensor data efficiently and provides the memory management function and the filtering function to reduce the system overload caused by sensor data streams. Lastly, we compared the processing time, accuracy, and memory usage of the spatial sensor database system with those of TinyDB and proved its superiority through the performance evaluation.

• 한국공간정보시스템학회:학술대회논문집
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• 2005.05a
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• pp.113-124
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• 2005

It is assumed that Land cover data can be a useful information to encourage environment in the spatial decision making process. This study aims to use the direction of Land Cover dataset of Ministry of Environment.