• Journal of Energy Engineering
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• v.24 no.4
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• pp.71-80
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• 2015

Steel stiffener is required for reinforcing the structure of the window frame made of versatile but weak PVC material. Steel stiffener however becomes a source of greater heat loss and frequently plays a role of thermal bridge due to its high thermal conductivity. To maintain thermal resistance similar to PVC frame, steel stiffener is perforated to reduce the effective heat transfer area. To compensate the structural strength of the steel stiffener which is weakened by the perforation, the thickness is increased. Increase in thickness will also increase the thermal heat resistance. Five samples which are PVC frame, PVC frame + original steel stiffener, PVC frame + 30% perforated steel stiffener, PVC frame + 50% perforated steel stiffener, PVC frame + 65% perforated steel stiffener are modeled and simulated for 2nd moment of area and thermal resistance. Therm/window version 6.3 is used for thermal analysis. The results show that among the five samples analyzed, PVC frame + 65% perforated steel stiffener best satisfies both structural strength and thermal resistance.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.08a
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• pp.73-76
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• 2008

We present a area-based method for stereo matching using varying weights. A central problem in a area-based stereo matching is different result from selecting a window size. Most of the previous window-based methods iteratively update windows. However, the iterative methods very sensitive the initial disparity estimation and are computationally expensive. To resolve this problem, we proposed a new function to assign weights to pixels using features. To begin with, we extract features in a given stereo images based on edge. We adjust the weights of the pixels in a given window based on correlation of the stereo images. Then, we match pixels in a given window between the reference and target images of a stereo pair. The proposed method is compared to existing matching strategies using both synthetic and real images. The experimental results show the improved accuracy of the proposed method.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2003.04a
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• pp.501-504
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• 2003

• KIEAE Journal
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• v.17 no.4
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• pp.75-81
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• 2017

Purpose: Most contemporary office buildings supply external views, a sense of openness and a sense of time to their occupants by adopting the curtain walls, which are equipped with an outer cover having large window area. As a result, the amount of radiation increases, adversely affecting cooling load during the summer in office buildings. Although solar radiation decreases heating load and reduces energy costs during the winter period, due to the characteristics of offices where occupants work largely during daytime, the cooling load is important compared to the heating. Therefore, diverse measures to resolve those trade-offs and annual energy cost have been investigated. Method: In this study, the annual thermal load was comparatively analyzed according to the slat angle of the venetian blind along with lighting control technique. Result: After selecting effective conditions, in order to resolve such issues, this study established automated control strategies of slat angle depending on the window-to-wall ratio and zone orientation, so that the findings of this study can be effectively generalized to other circumstances.

• KIEAE Journal
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• v.17 no.3
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• pp.99-106
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• 2017

Purpose: Most modern office buildings adopt the curtain wall system in order to provide occupants with the sense of openness and high-technology, which requires large window area. As a result, the amount of solar radiation increases, negatively affecting cooling load during the summer and increasing energy costs. However, the performance of window itself is not sufficiently controllable parameter to control thermal comfort and solar radiation. Therefore, a shading device such as venetian blind is required to control them and thus a variety of studies have been performed thus far. So, the purpose of this study is to improve the performance of blind through the development of blind control algorithm. Method: Among various input variables for the control of venetian blinds, the vertical solar radiation has been selected in this study as the primary input variable and the optimal control algorithm for venetian blinds were developed for each window orientation. Result: The developed optimal control algorithm has a positive effect on building energy savings.

• Korean Institute of Interior Design Journal
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• no.8
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• pp.58-64
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• 1996

People live in an environment which affects the human b by way of ‘Affordance’ .. And the interaction between h human and the surrounding environment arises ‘the sense of place' through adoptation. Considering the human emo¬t tional and psychological needs, besides the functionalones, for the design of environment gives ‘the place’ the h humanized atmosphere. Then the viewing-window, re¬f fleeting the dweller’s sensibility and aesthetic aspect, be¬c comes an important design element for the human interi¬o or atmosphere. G Generally, the view has the character of the Panorama a and sometimes of the Picture. And the viewing - window t transfigures the visual effects by ways of ‘Framing’, at t taching the ’Screen’ and ‘Successive development' of the views through openings on the wall. Hence this study w was developed from the aesthethic view-points of archi t tecture, cinema, picture and photography etc., and the c conclusions are as follows. T The ‘Frame’ limits the boundary of the view into a p particular area, while the ‘Screen’ changes the clear view t to an obscure one. And the wall-openings located with i intervals show the fragments of the outer view in a suc¬c cessive way. And these techniques applied to the viewing window make the viewer have the associated meanings d derived from the ‘Guided Projection'. So, the associative p psychology of the viewer complements the partiality, ob¬s scurity and brokenness of the view into a complete one, a and finally the view comes to be an aesthetic one to the v vIewer.

• The KIPS Transactions:PartB
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• v.13B no.3 s.106
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• pp.223-230
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• 2006

A window-based image processing is an elementary part of image processing area. Because window-based image processing is computationally intensive and data intensive, it is hard to perform ail of the operations of a window-based image processing in real-time by using a software program on general-purpose computers. This paper proposes a parallel hardware architecture that can perform a window-based image processing in real-time using FPGA(Field Programmable Gate Array). A dynamic threshold circuit and a local histogram equalization circuit of the proposed architecture are designed using VHDL(VHSIC Hardware Description Language) and implemented with an FPGA. The performances of both implementations are measured.

• Journal of the Korean Institute of Rural Architecture
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• v.14 no.3
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• pp.85-92
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• 2012

This study aims to evaluate the residential exterior environment and ascertain the factors having an effect on the visual environment viewed through the living room window. This study is based on a questionnaire on the exterior environment targeting residents living in the area of Nohyunng in Jeju city, Jeju-do. The results are as follows. First, residents are satisfied with the exterior environment as a whole; however, the longer-term residents' level of satisfaction is found to be relatively low while dissatisfaction is high. Additionally, there is a difference in satisfaction and dissatisfaction levels between the residents in their own housing and those in rental housing. The residents living in rental housing were found to have a relatively low level of satisfaction and high dissatisfaction. Second, in the case where the living room window faces roads, low satisfaction and high dissatisfaction levels with the visual environment were found, where the living room is on the first or second floor. Third, satisfaction and dissatisfaction with the exterior environment have a close correlation to the impression or nature elements of 26 questions but they show low correlation in size, height, color, design, traffic, artifact elements. Finally, as a result of extracting the factors influencing satisfaction and dissatisfaction with the visual environment, four factors were extracted including "Impression & Nature factor", "Building factor", "Design factor", and "Traffic volume & Artifacts factor". "Impression & Nature factors" is the most influencing factor with satisfaction and dissatisfaction and "Traffic volume & Artifacts factor" was found to have an effect on satisfaction, but not as clearly on dissatisfaction.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.6
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• pp.433-442
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• 2018

The reservoir area is defined as the area surrounded by the planned flood level of the dam or the land under the planned flood level of the dam. In this study, supervised classification based on RF (Random Forest), which is a representative machine learning technique, was performed to detect cropland in the reservoir area. In order to classify the cropland in the reservoir area efficiently, the GLCM (Gray Level Co-occurrence Matrix), which is a representative technique to quantify texture information, NDWI (Normalized Difference Water Index) and NDVI (Normalized Difference Vegetation Index) were utilized as additional features during classification process. In particular, we analyzed the effect of texture information according to window size for generating GLCM, and suggested a methodology for detecting croplands in the reservoir area. In the experimental result, the classification result showed that cropland in the reservoir area could be detected by the multispectral, NDVI, NDWI and GLCM images of UAV, efficiently. Especially, the window size of GLCM was an important parameter to increase the classification accuracy.

• Journal of Korean Society for Geospatial Information Science
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• v.4 no.1 s.6
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• pp.93-102
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• 1996

For an atomatic generation of DEM(Digital Elevation Model) by computer, it is a time-consumed work to determine adquate matches from stereo images. Correlation and evenly distributed area-based method is generally used for matching operation. In this paper, we propose a new approach that computes matches efficiantly by changing the size of mask window and search area according to the given terrain information. For image segmentation, at first edge-preserving smoothing filter is used for preprocessing, and then region growing algorithm is applied for the filterd images. The segmented regions are classifed into mountain, plain and water area by using MRF(Markov Random Filed) model. Maching is composed of predicting parallex and fine matching. Predicted parallex determines the location of search area in fine matching stage. The size of search area and mask window is determined by terrain information for each pixel. The execution time of matching is reduced by lessening the size of search area in the case of plain and water. For the experiments, four images which are covered $10km{\times}10km(1024{\times}1024\;pixel)$ of Taejeon-Kumsan in each are studied. The result of this study shows that the computing time of the proposed method using terrain information for matching operation can be reduced from 25% to 35%.