• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.82-87
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• 2003

Domestic remodeling market is now growing centering around non housing building. Unlike non housing building remodeling business, understanding of remodeling demanders accustomed to profit of reconstruction, deficiency of experience performing remodeling project and construction, shortage of will performing remodeling policy and detailed action method are difficulties in performing apartment building remodeling business. Understanding change of remodeling demanders. strong economic incentive by government, construction management paradigm shift from new construction into building life cycle, application of construction method using existing building condition before remodeling and remodeling related industry infrastructure are required to improve this remodeling business circumstances.

• 한국신재생에너지학회:학술대회논문집
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• 2009.06a
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• pp.49-52
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• 2009

Practical building integrated photovoltaic system built by Kolon E&C has been monitored and evaluated with respect to power generation, which was installed in Deokpyeong Eco Service Area in Deokpyeong, Gyeonggi, Korea. The amorphous silicon transparent PV module in this BIPV system has 44Wp in power output per unit module and 10% of transmittance with the unit dimension with $980mm{\times}950mm$. The BIPV system was applied as the skylight in the main entrance of the building. This study provided the database for the practical application of the transparent thin-film PV module for BIPV system through 11 month monitoring as well as various statistical analyses such as monthly power output and insolation. Average monthly power output of the system was 52.9kWh/kWp/month which is a 60% of power output of the previously reported data obtained under $30^{\circ}$of an inclined PV module facing south(azimuth=0). This lower power output can be explained by the installation condition of the building facing east, west and south, which was resulted from the influence of azimuth.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2003.04a
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• pp.471-477
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• 2003

This paper presents an algorithm that automatically extracts buildings among many different features on the earth surface by fusing LIDAR data with panchromatic aerial images. The proposed algorithm consists of three stages such as point level process, polygon level process, parameter space level process. At the first stage, we eliminate gross errors and apply a local maxima filter to detect building candidate points from the raw laser scanning data. After then, a grouping procedure is performed for segmenting raw LIDAR data and the segmented LIDAR data is polygonized by the encasing polygon algorithm developed in the research. At the second stage, we eliminate non-building polygons using several constraints such as area and circularity. At the last stage, all the polygons generated at the second stage are projected onto the aerial stereo images through collinearity condition equations. Finally, we fuse the projected encasing polygons with edges detected by image processing for refining the building segments. The experimental results showed that the RMSEs of building corners in X, Y and Z were ${\pm}$8.1cm, ${\pm}$24.7cm, ${\pm}$35.9cm, respectively.

• Journal of Construction Engineering and Project Management
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• v.1 no.1
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• pp.11-17
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• 2011

According to the United Nations Framework Convention on Climate Change (UNFCCC), many countries around the world have been concerned with reducing Greenhouse Gas (GHG) emissions. Reducing the level of building energy consumption is particularly important in bringing GHG down. Because of this, many countries including the US and the EU are enforcing energy-related policies. However, these policies are focused on management of single types of buildings such as public buildings and office buildings, instead of management on a national level. Thus, although various policies have been enforced in many countries, $CO_2$ management on a national level is still not an area of focus. Therefore, this study proposed a community-based $CO_2$ management process that allows government-led GHG management. The minimum unit of the community in this study is a plot, and the process consists of three steps. First, the current condition of the GHG emission was identified by plot. Second, based on the identified results, the GHG emission reduction target was distributed per plot by reflecting the weighted value according to (i) the target $CO_2$ reduction in the buildings in the standard year, (ii) region, and (iii) building usage and size. Finally, to achieve the allocated target reduction, building energy management was executed according to the properties of the building located on each plot. It can be expected that the proposed community-based $CO_2$ management process will enable government-level GHG management, through which environment-friendly building construction can be promoted.

• Journal of the Korean Solar Energy Society
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• v.33 no.1
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• pp.96-105
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• 2013

This study aims to investigate the energy performance of apartment in respect of complex design, building type and generation house layout and finally to produce the guide line for energy saving design. To grasp the present condition and problem about this subject, apartment building types were examined and representative types were extracted. Considering azimuth angle, private area, and generation number, building type of the subject apartment was classified in detail, energy simulation was conducted, and the effect to energy cost was compared. In the research, using VE energy simulation program, the heating and cooling load were calculated and converted to energy cost. It is expected that this analysed results will be basic data for the more integrated study. Research consequence can be summarized as follow: 1) Energy cost is compared according to several azimuth in plank '一' type apartment. As the results, calculated gas cost is the best in $49^{\circ}$, but total cost is in $-31^{\circ}$. 2) Apartment buildings of tower types are compared, it is resulted that 'Y' type (azimuth $-7^{\circ}$, $-20^{\circ}$) is the best in gas cost, but the total cost is worst because of high cooling load.

• Journal of the Korean Institute of Educational Facilities
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• v.20 no.3
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• pp.41-52
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• 2013

In the current condition of seeking eco-friendly development, Green Building Certification Criteria can reduce environment burden that is able to be arose in life cycles of buildings. Moreover, it is a great help to induce to constructing pleasant environment. The ripple effect that also improves saving of energy and resources of the whole country, and green-house gases reduction effect and environment friendliness of other buildings can be expected by promoting eco-friendly education facilities which accounts for a great part of public buildings in comparison with other buildings. In this study, analysis of old and new indicators' contrast and contents in Green Building Certification, and post evaluation of education facilities and interviews on authorities were proceeded for improving evaluation indicator of each item in Green Building Certification Criteria. As a result, it analyzed problems in terms of institution and operations management, and drew implications accordingly. In addition, it has a significance in that it proposes improvements of substantively applicable indicators with high applicability.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.241-243
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• 2003

This paper presents an algorithm that automatically extracts buildings among many different features on the earth surface by fusing LIDAR data with panchromatic aerial images. The proposed algorithm consists of three stages such as point level process, polygon level process, parameter space level process. At the first stage, we eliminate gross errors and apply a local maxima filter to detect building candidate points from the raw laser scanning data. After then, a grouping procedure is performed for segmenting raw LIDAR data and the segmented LIDAR data is polygonized by the encasing polygon algorithm developed in the research. At the second stage, we eliminate non-building polygons using several constraints such as area and circularity. At the last stage, all the polygons generated at the second stage are projected onto the aerial stereo images through collinearity condition equations. Finally, we fuse the projected encasing polygons with edges detected by image processing for refining the building segments. The experimental results showed that the RMSEs of building corners in X, Y and Z were ${\pm}$8.1㎝, ${\pm}$24.7㎝, ${\pm}$35.9㎝, respectively.

• Journal of the Korea Institute of Building Construction
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• v.11 no.5
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• pp.452-458
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• 2011

Bamboo is representing environmentally friendly building finishing materials as proven in the former researches. The purpose of this study is to evaluate the application properties of cementitious materials modified with bamboo charcoal as building finish materials. Flow test in fresh condition was conducted to assess the workability. Compressive and bending strength were measured after harding. As the thermal properties, thermal conductivity and density were measured. The properties were surpassing over them in case of using the pine charcoal in every tests. The thermal conductivity of them increased with the modified ratio. After the modified ratio 50%, the thermal conductivity decreased. Insolation and absorption performance is due to the lower density by modification of bamboo charcoal.

• Smart Structures and Systems
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• v.31 no.2
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• pp.141-154
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• 2023

After an earthquake, information regarding potential damage to buildings close to the epicenter is very important during the initial emergency response. This study proposes the use of crowdsourced measured acceleration response data collected from smartphones located within buildings to perform system identification of building structures during earthquake excitations, and the feasibility of the proposed approach is studied. The principal advantage of using crowdsourced smartphone data is the potential to determine the condition of millions of buildings without incurring hardware, installation, and long-term maintenance costs. This study's goal is to assess the feasibility of identifying the lowest fundamental natural frequencies of buildings without knowing the orientations and precise locations of the crowds' smartphones in advance. Both input-output and output-only identification methods are used to identify the lowest fundamental natural frequencies of numerical finite element models of a real building structure. The effects of time synchronization and the orientation alignment between nearby smartphones on the identification results are discussed, and the proposed approach's performance is verified using large-scale shake table tests of a scaled steel building. The presented results illustrate the potential of using crowdsourced smartphone data with the proposed approach to identify the lowest fundamental natural frequencies of building structures, information that should be valuable in making emergency response decisions.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.262-268
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• 2011

According to the United Nations Framework Convention on Climate Change (UNFCCC), many countries around the world have been concerned with reducing Greenhouse Gas (GHG) emissions. Reducing the level of building energy consumption is particularly important in bringing GHG down. Because of this, many countries including the US and the EU are enforcing energy-related policies. However, these policies are focused on management of single types of buildings such as public buildings and office buildings, instead of management on a national level. Thus, although various policies have been enforced in many countries, CO₂ management on a national level is still not an area of focus. Therefore, this study proposed a community-based CO₂ management process that allows government-led GHG management. The minimum unit of the community in this study is a plot, and the process consists of three steps. First, the current condition of the GHG emission was identified by plot. Second, based on the identified results, the GHG emission reduction target was distributed per plot by reflecting the weighted value according to (i) the target CO₂ reduction in the buildings in the standard year, (ii) region, and (iii) building usage and size. Finally, to achieve the allocated target reduction, building energy management was executed according to the properties of the building located on each plot. It can be expected that the proposed community-based CO₂ management process will enable government-level GHG management, through which environment-friendly building construction can be promoted.