• Korean Journal of Environment and Ecology
• /
• v.26 no.3
• /
• pp.454-462
• /
• 2012

This study was to research the effective use of green rooftop space, facilities and gardening, targeting members from community rehabilitation centers with disabilities. The three community rehabilitation centers studied were, Namyangju Center located in a rural area, Seoul Center located in a urban area and Siheung Center located in both a rural and urban area. We analyzed the difference in preference on the basis of each local community area. In fact, it indicated that 50% of each center knew about the green rooftop at their facilities and its use as a place for taking walks and conversation. It also showed that there was the high preference for priority objects such as a bench, pergola and trash can. Also the preference for natural visualizations like herbal or ornamental plants. The study showed a high preference to a small vegetable plot, hands on gardening and ecological wetland. It also indicated that there was a high preference for experience in nature programs on the rooftops (28.9 %) versus the rate of horticultural programs (27%). Therefore, it proves that the composition of a green rooftop at a community rehabilitation center should be differentiated so that the green rooftop can be a place not only for resting, but also great for a natural learning experience and gardening therapy for people with disabilities.

• Korean Journal of Remote Sensing
• /
• v.27 no.2
• /
• pp.121-130
• /
• 2011

This paper highlights the reconstruction of the rectilinear type of 3D rooftop model from satellite image data using centroid neural network. The main idea of the proposed 3D reconstruction method is based on the grouping of 3D line segments. 3D lines are extracted by 2D lines and DEM (Digital Elevation Map) data evaluated from a pair of stereo images. Our grouping process consists of two steps. We carry out the first grouping process to group fragmented or duplicated 3D lines into the principal 3D lines, which can be used to construct the rooftop model, and construct the groups of lines that are parallel each other in the second step. From the grouping result, 3D rooftop models are reconstructed by the final clustering process. High-resolution IKONOS images are utilized for the experiments. The experimental result's indicate that the reconstructed building models almost reflect the actual position and shape of buildings in a precise manner, and that the proposed approach can be efficiently applied to building reconstruction problem from high-resolution satellite images of an urban area.

• Journal of Korean Society on Water Environment
• /
• v.20 no.4
• /
• pp.313-320
• /
• 2004

In this study, variable characteristics of drinking water and the influences on underground water reservoirs, rooftop water tanks, and service water pipes in the building were assessed. The influence of underground water reservoir material and water capacity on water quality also were assessed. The results are the following as; First of all, the drinking water passing through underground water reservoirs or service water pipes in the building, averagely metal component concentration more increased from percent of 41.3 to percent of 74.2 totally than other items of water quality. On the other hand, both residual chlorine and total solid highly decreased 65.6 percent and 35.3 percent, respectively. Therefore, it was thought that water quality could be getting worse for microorganism re-growth by residual chlorine reduction, and total solid also could be a cause for extraneous matters accumulated in water reservoir. Secondly, the variations on water quality of each stage for water supply system in the building were higher in water service pipes connected from rooftop water tanks to the tap than in underground water reservoirs. In addition to, among of twelve items on water quality, ten items on water quality except dissolved oxygen and residual chlorine increased. Therefore, it was thought that the influence of water service pipes connected from rooftop water tanks to the tap on water quality were higher than other stages of water supply system in the building. Thirdly, in case of materials of underground water reservoir, it was likely that the variation on water quality by stainless steel and concrete materials got some similar. In case of water capacity, the variations on water quality of underground water reservoirs over $1,000m^3$ higher than those under $1,000m^3$. That reasons was likely that the retention time(49.72 hours averagely) of underground water reservoirs over $1,000m^3$ was two times longer than it of those under $1,000m^3$(23.37 hours). Therefore, it was thought that the influence on water quality by materials were some similar, but in case of water capacity, the influence of underground water reservoirs were higher.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.26 no.2
• /
• pp.55-67
• /
• 2023

This study aims to develop a model that can automatically identify the rooftop shape of apartment buildings using GIS and machine learning algorithms, and apply it to analyze the relationship between rooftop shape and characteristics of apartment complexes. A database of rooftop data for each building in an apartment complex was constructed using geospatial data, and individual buildings within each complex were classified into flat type, tower type, and mixed types using the random forest algorithm. In addition, the relationship between the proportion of rooftop shapes, development density, height, and other characteristics of apartment complexes was analyzed to propose the potential application of geospatial information in the real estate field. This study is expected to serve as a basic research on AI-based building type classification and to be utilized in various spatial and real estate analyses.

• Proceedings of the Korean Society of Environment and Ecology Conference
• /
• 2010.04a
• /
• pp.245-249
• /
• 2010

• Proceedings of the Korea Air Pollution Research Association Conference
• /
• 2010.04a
• /
• pp.299-300
• /
• 2010

• Proceedings of the Korean Society of Environment and Ecology Conference
• /
• 2009.04a
• /
• pp.152-155
• /
• 2009

• Proceedings of the Korean Society of Environment and Ecology Conference
• /
• 2008.04a
• /
• pp.128-130
• /
• 2008

• Proceedings of the Korean Society of Environment and Ecology Conference
• /
• 2008.04a
• /
• pp.131-133
• /
• 2008

• Proceedings of the Korean Society of Environment and Ecology Conference
• /
• 2007.04a
• /
• pp.215-218
• /
• 2007