• 한국태양에너지학회 논문집
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• 제30권1호
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• pp.1-6
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• 2010

Generally, the building's windows and ventilation for the purpose of mining and the vista and windows by emotional engineering design area is a growing trend.In addition, the building regulation U-value limitation of window is $3.3W/m^2{\cdot}K$ in southern regions, while U-value limitation of wall is $0.35{\sim}0.58W/m^2{\cdot}K$. It means that the energy loss through windows is six times more than it through wall. Therefore, the purpose of this study is to evaluate the environmental performance of the super window system by verification experiment. The results of this study are as follows; 1) The insulation performance of super window system is $1.44\;W/m^2^{\circ}C$ 2) Super Window compared to a normal window reduce heating energy requirements have been 5.3% 3) Compared to a normal window, Super window savings rate was 4.1% lower 4) Building energy efficiency rating was up to 1 rating from 2 rating.

• 한국태양에너지학회:학술대회논문집
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• 한국태양에너지학회 2009년도 추계학술발표대회 논문집
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• pp.211-215
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• 2009

As entering in the time of high oil price, seriousness of an energy is on the rise and the importance of energy is growing. Especially, building energy occupying 24% of total demand of energy is expected to be possible to reduce energy demand more than other section. To reduce the building energy consumption, this study analyzes function and thermal performance of Super window by heat experimental apparatus. Super window is a 2-track low-e glazing window for high insulation efficiency. By applying the results of this experiment to building energy efficiency rating tool, this study compares energy efficiency rates depending on a region.-Jeju, South, Central. And it shows how much does Super window reduce Building energy consumption.

• 한국태양에너지학회 논문집
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• 제29권6호
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• pp.39-44
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• 2009

Entering in the time of high oil price, seriousness of an energy effect sector has given a huge impact and the importance of energy is growing. Especially, building energy occupying 24% of total demand of energy is expected to be possible to reduce energy demand more than other section. To reduce the building energy consumption, this study analyzes function and thermal performance of Super window by heat experimental apparatus. Super window is a 2-track low-e glazing window for high insulation efficiency. By applying the results of this experiment to building energy efficience rating tool, this study compares energy efficiency rates depending on a region.-Jeju, South, Central. And it shows how much does Super window reduce Building energy consumption.

• 한국태양에너지학회:학술대회논문집
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• 한국태양에너지학회 2009년도 추계학술발표대회 논문집
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• pp.205-210
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• 2009

Generally, the building's windows and ventilation for the purpose of mining and the vista and windows by emotional engineering design area is a growing trend. According to the flow of energy is lost from the building, will be achieved through the walls and roof and windows. Among these, the window through the loss of about 45% of the entire building is big enough to rate. In addition, the building regulation U-value Limitation of window is $3.3W/m^2$ K in southern regions, while U-value Limitation of wall is $0.35{\sim}0.58W/m^2$ K. It means that the energy loss through windows is six times more than it through wall. Therefore, the purpose of this study is to evaluate the environmental performance of the super window system by verification experiment. The results of this study are as follows; 1)Thermal performance of insulated Super Window measured as $1.44W/m^2$ $^{\circ}C$ 2)Required energy for heating was cut down about 5.3% from 266.99 $MJ/m^2$ yr to 252.85 $MJ/m^2$ yr 3)Super Window's reduction rates increased 4.1% from 31.48% to 35.58% when it is compared to normal windows. 4)Building energy efficiency rating elevated from 2nd rating to 1st rating.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2006년도 하계학술발표대회 논문집
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• pp.1069-1074
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• 2006

Heat loss by window in building occupies about 1/4 of energy amount used building. Therefore, high thermal insulation of windows system can speak as very important part in save energy of building. in this research, After select most suitable frame design and Glazing system for high thermal insulation of windows, execute simulation of mixing frame and Glazing System. Also, manufacture windows with the result and execute verification experiment, with verified simulation, this research evaluated thermal insulation performance of window by Glazing System's change.

• 한국태양에너지학회:학술대회논문집
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• 한국태양에너지학회 2009년도 춘계학술발표대회 논문집
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• pp.286-290
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• 2009

Generally the window of the building is an objective of mining and having a distant view and also for a circulation it will can open and shut because becomes the structure insulation, the meat detailed drawing it does a very difficult portion, it is. To reduce the loss of the energy which leads, to an air conditioning energy and an expense increase problem the color which the interior furniture and the clothing due to the augmentation and the corpse ultraviolet rays of the unpleasant feeling which is caused by with the transient one solar energy influx which leads the window will burn, it joins in the window and it confronts and the novel solution is demanded.

• 한국태양에너지학회:학술대회논문집
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• 한국태양에너지학회 2008년도 춘계학술발표대회 논문집
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• pp.123-128
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• 2008

Generally the window of the building is an objective of mining and having a distant view and also for a circulation it will can open and shut because becomes the structure insulation, the meat detailed drawing it does a very difficult portion, it is. To reduce the loss of the energy which leads, to an air conditioning energy and an expense increase problem the color which the interior furniture and the clothing due to the augmentation and the corpse ultraviolet rays of the unpleasant feeling which is caused by with the transient one solar energy influx which leads the window will burn, it joins in the window and it confronts and the novel solution is demanded.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.1637-1642
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• 2009

This study evaluates the energy performance of super high-rise residential buildings with e-QUEST simulation and calculates the annual cooling and heating load. The result of this study have concluded that the most influential factor is the characteristics of the window and also suggest the most efficient window system from the result of calculation of different glasses' cooling and heating load. The result of this study shows that The most efficient method to enhance the energy performance is to use low reflective 3 pairs Low-E glass and Low-E coating(inside of outer glass) pair glass.

• 한국태양에너지학회 논문집
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• 제22권4호
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• pp.1-9
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• 2002

This study is on the design and evaluation of Zero Energy Solar House(ZeSH) including active solar heating system. Various innovative technologies such as super insulation, passive solar systems, super window, ventilation heat recovery system...etc were analyzed by individual and combination for the success of ZeSH. The ESP-r simulation program was used for this. Simulation results shows that almost 77% of heating load can be reduced with the following configuration of 200mm super insulation, super windows, passive solar system and 0.3 ventilation rate per hour. Active solar heating system (ASHS) was designed for the rest of the heating load including hot water heating load. The solar assisted heat pump is used for the auxiliary heating device in order to use air conditioner but not included in this study. The yearly solar fraction is 87% with a solar collector area of $28m^2$. The parametric studies as the influence of storage volume and collector area on the solar fraction was analyzed.

• 한국음향학회지
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• 제30권2호
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• pp.100-106
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• 2011

음원의 디지털화가 진행되면서 음악 데이터베이스가 방대해지고 있다. 따라서, 음악 데이터를 보다 효과적으로 관리하기 위해 음악의 특성에 따라 장르별로 자동 분류해주는 시스템이 필요하다. 기존 장르 분류 시스템은 대부분 Mel-Frequency Cepstral Coefficient (MFCC)를 특징 벡터로 이용하고 있다. 본 논문에서는 Auditory Filter Bank를 이용한 Decorrelated Filter Bank (DFB)와 Octave-based Spectral Contrast (OSC)에 texture window를 적용하여 특징을 추출한 후, Support Vector Machine (SVM)을 이용하여 장르 분류를 시도하였다. 기존의 Marsyas 장르 분류 시스템과 비교한 결과 DFB와 OSC로 복합적인 특징 벡터를 구성하면 더 적은 차수의 특징벡터를 사용함에도 4.2 %의 향상된 분류 성공률을 얻을 수 있었다.