• Journal of the Institute of Convergence Signal Processing
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• v.23 no.3
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• pp.129-136
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• 2022

The most important part of the smart livestock building system is to maintain a breeding environment so that livestock can grow to high quality despite changes in the internal and external atmospheric environment. Especially, it is very important to maintain the temperature and humidity in the livestock building because various diseases occur during the summer and winter. To manage the environment suitable for livestock, a smartfarm system for livestock building is applied, but it is very expensive. In this study, we propose a hardware design and control method for low cost system based on HMI and fuzzy control. To evaluate the performance of the proposed system, we did a simulation experiment in the atmospheric conditions of summer and winter. As a result, it showed the performance of minimizing the temperature and humidity stress of livestock. And when applied to the livestock building, the proposed system showed stable control performance even in the change of the external atmospheric environment. Therefore, as with these results, if proposed system in this study is applied to the smart farm system, it will be effective in managing the environment of livestock building.

• The Journal of Sustainable Design and Educational Environment Research
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• v.12 no.1
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• pp.35-45
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• 2013

The purpose of this study is to suggest improvement plans of school green building certification system in the concept of the Green Building Index by comparing items of domestic system with those of foreign system. School is a public facility for students. So Green Building Certification System for School must have educational point of view adding to energy saving, reduction of greenhouse gas emission, etc. Also school is forming a large part with the apartment house in the green building certification system. So we need to manage the green building certification system for school to meet carbon reduction policy.

• Journal of the Korea Furniture Society
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• v.27 no.2
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• pp.122-127
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• 2016

The increasing interest in the environment and climate change around the globe, while the importance of building energy saving is increasing. The building energy simulation program is used for evaluating of energy performance of buildings. However, an input value of wood thermal conductivity in the programs is different from each other. Therefore, in this study, wood thermal conductivity was measured according to species. Through construction database by species of wood, the error of simulation program are able be decreased. In addition, if used as a structural and interior of buildings, the thermal conductivity and moisture of the wood is difficult to apply to the program because they were changed according to the occupant's lifestyle. In this paper, thermal conductivity and moisture content.of wood confirmed changes in the constant temperature and relative humidity ($25^{\circ}C$, 50% R.H.) condition.

• 한국태양에너지학회:학술대회논문집
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• 2012.03a
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• pp.345-353
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• 2012

Recently rapid urbanization facilitates development of high-rise building complex including apartment and office building in urban area. Many problems related with high-rise building are reported. Especially, unpleasant strong winds in pedestrian area are frequently encountered around the high-rise building. CFD simulation methods are used to analyze the wind environment of pedestrian level in high-rise building block. However the results show differences between CFD and measurement. The reason for the difference is that conventional CFD simulation couldn't consider the effect of trees, shrubs and plants which affect the wind environment. Canopy model is a solution to solve the limitation of CFD analysis. In this paper, the canopy model to predict wind environment of pedestrian level by CFD simulation will be proposed and the validity will be analyzed by comparison of measurement and CFD prediction.

• The Journal of Engineering Geology
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• v.28 no.4
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• pp.529-540
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• 2018

Sand dam is a flow barrier commonly built on small or medium size sandy rivers to accumulate sand and store excess water for later use or increase the water table. The effectiveness of sand dam in increasing the water table and the amount of extractable groundwater is tested using numerical models. Two models are developed to test the hypothesis. The first model is to simulate the groundwater flow in a pseudo-natural aquifer system with the hydraulically connected river. The second model, a modified version of the first model, is constructed with a sand dam, which raises the riverbed by 2 m. In both models, the effect of groundwater abstraction is tested by varying the pumping rate. As the model results show the groundwater after the construction of the sand dam has increased significantly and the amount of extractable groundwater is also increased by many folds. Most importantly, in the second model, unlike the pseudo-natural aquifer system, the groundwater abstraction does not have a significant effect on the water table.

• Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
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• v.12 no.6
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• pp.627-640
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• 2018

Submetering electricity consumption data enables more detail input of end use components, such as lighting, plug, HVAC, and occupancy in building energy modeling. However, such an modeling efforts and results are rarely tried and published in terms of the estimation accuracy of electricity demand. In this research, actual submetering data obtained from a university building is analyzed and provided for building energy modeling practice. As alternative modeling cases, conventional modeling method (Case-1), using reference schedule per building usage, and main metering data based modeling method (Case-2) are established. Detail efforts are added to derive prototypical schedules from the metered data by introducing variability index. The simulation results revealed that Case-1 showed the largest error as we can expect. And Case-2 showed comparative error relative to Case-3 in terms of total electricity estimation. But Case-2 showed about two times larger error in CV (RMSE) in lighting energy demand due to lack of End Use consumption information.

• Korean Institute of Interior Design Journal
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• v.22 no.2
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• pp.176-185
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• 2013

(Background)In modern industrial society, the design industry failed to observe the law of nature, destructing it. Regardless its intention, the design industry destructed the environment so that it can't maintain the future life because of waste and disaster. For the purpose, it is important to adopt the technology to reuse the waste resource generated by building or minimize the damage to environment for the resource that can't be recycled. (Methods)On the assumption that the material and resource can be an alternative plan for the design that can make environment be sustained, the study analyzed materials and resources out of superior office space of USA, which were selected by LEED Green Building Rating System. (Results)The analysis result revealed that all cases reused main structural part of existing building and indoor and various materials were reused or recycled. Especially, the materials without or with low amount of VOCs and formaldehyde were used. In order to reduce construction waste, the finish of existing building was exposed as it was, 50% of reused materials were used or disassemblable materials were used. When regional materials are used, there is an advantage to reduce transportation cost and recycle the materials rapidly. Lastly, the environment-friendly certified by FSC was used in all cases. (Conclusion)After all, the material is one of the space design strategies sensitive to environment so it is important to select good material. Harmless, environment-friendly materials applied to sustainable office space contribute to the creation of healthy environment. In addition, the use of recycled materials and reused materials to minimize waste is also essential factor for creating sustainable space.

• Proceedings of the KWS Conference
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• 2004.05a
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• pp.296-298
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• 2004

Recently, various fields are building developed and applied system environment using the technology of the web-based virtual reality. This paper describes about the building of Web-based learning environment that supports efficient educational effectiveness throughout the effective 2-D and 3-D visual interface and the operation of main facilities and the navigation of it. The objective of this environmental building is to provide proper knowledge and technology of a nuclear power plant to those students (examine. and trainee), and help them gain effective experiences throughout such activities.

• 한국신재생에너지학회:학술대회논문집
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• 2009.11a
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• pp.489-490
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• 2009

We investigated wind environment impact of the building of the KIER Waljeong Station in Jeju Island. From the preliminary qualitative analysis using the VirtualWind simulator, we confirmed that an influence caused by the 11m-tall 30m-aparted building on the 1.5MW wind turbine at Waljeong Station in not negligible. As a next step, VirtualWind simulation and the 100m met-tower measurement at the Waljeong Station is going to be compared to identify a building effect quantitatively.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.36 no.5
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• pp.53-58
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• 2020

The purpose of this study is to build a database of Spatial information Bigdata of cities using satellite images and spatial information, and to examine the correlations with the surface temperature. Using architectural structure and usage in building information, DEM and Slope topographical information for constructed with 300 × 300 mesh grids for Busan. The satellite image is used to prepare the Normalized Difference Built-up Index (NDBI), Normalized Difference Vegetation Index (NDVI), Bare Soil Index (BI), and Land Surface Temperature (LST). In addition, the building area in the grid was calculated and the building ratio was constructed to build the urban environment DB. In architectural structure, positive correlation was found in masonry and concrete structures. On the terrain, negative correlations were observed between DEM and slope. NDBI and BI were positively correlated, and NDVI was negatively correlated. The higher the Building ratio, the higher the surface temperature. It was found that the urban environment DB could be used as a basic data for urban environment analysis, and it was possible to quantitatively grasp the impact on the architecture and urban environment by adding local meteorological factors. This result is expected to be used as basic data for future urban environment planning and disaster prevention data construction.