• 한국정밀공학회지
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• 제20권7호
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• pp.138-146
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• 2003

A critical issue in area-based stereo matching lies in selecting a fixed rectangular window size. Previous stereo methods doesn't deal effectively with occluding boundary due to inevitable window-based problems, and so give inaccurate and noisy matching results in areas with steep disparity variations. In this paper, a variable window approach is presented to estimate accurate, detailed and smooth disparities for three-dimensional structure reconstruction. It makes the smoothing of depth discontinuity reduced by evaluating corresponding correlation values and intensity gradient-based similarity in the three-dimensional disparity space. In addition, it investigates maximum connected match candidate points and then devise the novel arbitrarily shaped variable window representative of a same disparity to treat with disparity variations of various structure shapes. We demonstrate the performance of the proposed variable window method with synthetic images, and show how our results improve on those of closely related techniques for accuracy, robustness, matching density and computing speed.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 1998년도 Proceedings of International Workshop on Advanced Image Technology
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• pp.99-104
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• 1998

Application sharing is the ability to use existing applications, such as Excel or MS-Word, during a group session without modification. In this paper, we present the design and implementation of an application sharing system, called ShareIt, which enable users to share arbitrary MS-Windows applications under the Win 3.1/95/NT and X window system, and evaluation of the system performance. To share an application, the image of the application window is captured and transmitted to other sites. With the use of the window capturing method, ShareIt allows any MS-Windows application to be shared regardless of not only the window systems but also the version-up of window systems.

• Journal of Multimedia Information System
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• 제6권1호
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• pp.1-6
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• 2019

In the field of industrial applications, the real-time performance of the target detection problem is very important. The most serious time consumption in the pedestrian detection process is the extraction phase of the candidate window. To accelerate the speed, in this paper, a fast extraction of pedestrian candidate window based on the BING (Binarized Normed Gradients) algorithm replaces the traditional sliding window scanning. The BING features are extracted with the positive and negative samples and input into the two-stage SVM (Support Vector Machine) classifier for training. The obtained BING template may include a pedestrian candidate window. The trained template is loaded during detection, and the extracted candidate windows are input into the classifier. The experimental results show that the proposed method can extract fewer candidate window and has a higher recall rate with more rapid speed than the traditional sliding window detection method, so the method improves the detection speed while maintaining the detection accuracy. In addition, the real-time requirement is satisfied.

• 한국실내디자인학회논문집
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• 제18권5호
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• pp.101-110
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• 2009

In case of general residential house, photovoltaic can be installed at roof, wall, and any other places. But, in case of apartment building, there has not enough roof space to install photovoltaic panels to supply enough electricity. Actually, apartment building roof and facade wall (exclude the balcony window space) is not enough space to produce and supply the electricity to residents by installing PV panel. Generally, the space of facade balcony with windows in facade wall at apartment building occupied about $70{\sim}80%$, in all facade space. So, if we could use the balcony and windows space in facade as PV to generating electricity, there could contribute the energy saying. But, PV cell is opacify. So if it installed at front window area in apartment building, residents may have displeasure for that opacity character. But the other hand, residents are not always in house especially in day time that is exactly good time for generating electricity by PV. If we can use PV at the facade balcony with window without collusion of resident's displeasure, there have good attraction to using sustainable energy. Hence, this study suggests the design of facade balcony window style PV by considering resident's living pattern in apartment building. The methods of this study are as follows. At first, this study surveyed to the residents about residential time in their home and asked user demand by Delphi survey. At second, this study designed balcony open style PV system which oriented to the user demand. At third, this study tests designed result performance by computer simulation that compared design result with old design. As a result, For the purpose of satisfying the resident demand, there designed sliding window style which slide the several door systems to the one side. That would be make balcony absolute open scenery to the residents. Hence, the designed system performance results were as follows. When we compare the small apartment and large apartment, smaller one has good performance than larger one. Because resident's residential time characteristic. And that has more good electronic performance than vertical style that is similar to roof style.

• 전기전자학회논문지
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• 제7권2호
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• pp.288-298
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• 2003

통신 경로 상에 위치한 인접 노드간의 오류 제어를 위해 window-controlled selective repeat ARQ 방식을 고려한다. 이 방식에서 전송될 패킷은 순환적 그리고 순차적으로 순차 번호를 부여받는다. 한편 송신 노드는 이전 window에 소속된 모든 패킷에 대해 긍정적 응답을 받을 때까지 새 window에 소속된 패킷을 전송할 수 없으며, 이러한 전송의 연기로 인해 throughput 및 지연 성능의 저하가 야기된다. 본 논문에서는 지연 성능을 향상시키기 위한 방안으로 프레임 내에서 순차 번호를 중복 사용하는 부수적 방식을 고려한다. 이러한 중복 규칙을 고정형, 임의형, 적응형으로 분류하여 범주별 중복 규칙을 제시하고 각 중복 규칙에 따른 지연 성능을 평가한다. 계량적 분석 결과로부터 순차 번호를 중복 부여하여 (특히 ADR-T2의 도입으로) 평균 패킷 지연 시간을 효과적으로 줄일 수 있음을 관찰한다. 또한 이러한 지연 성능의 개선은 국지적으로 최적인 window 크기를 만족할 수 있는 확률의 증가에 기인함을 규명한다.

• 농업과학연구
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• 제44권4호
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• pp.595-603
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• 2017

Crop growth and production cost are greatly influenced by management of environmental factors such as ambient temperature, humidity, and $CO_2$, especially in protected horticulture. Opening and closing of greenhouses is the most important operation for control of these ambient environmental factors, and precise and stable operation requires high performance window motors. In this study, a 400 W precise window motor was constructed, and its performance was evaluated for plastic and glass greenhouses. First, the motor was designed and fabricated by benchmarking of an advanced foreign product. Then, the performance was evaluated through vibration, PCB (Process Control Block), and load tests. Vibration tests resulted in averaged vibration displacement and velocity of the developed motor of 0.002 mm and 0.2267m/s, which were statistically significantly different from those of the target motor. Average vibration acceleration ($0.26m/s^2$) of the developed motor was also significantly different from that ($0.51m/s^2$) of the target motor. PCB tests showed 2 - 4 mm deviation from the target values, and confirmed the operating status and precision of the control. Load tests with a 300 kg load also showed acceptable operating status and durability. Current values were $1.31{\pm}0.06A$ and RPMs were in the range of 2.9 - 3.0. Considering the above results, the developed window motor would be competitive to the target foreign product.

• 설비공학논문집
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• 제30권4호
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• pp.159-166
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• 2018

The Korean fenestration energy consumption efficiency rating system only considers thermal performance of the heat transfer coefficient (U-value) and airtightness excluding optical characteristics of the solar heat gain coefficient (SHGC). This study analyzed annual heating and cooling energy requirements on the middle floor of apartment by optical and thermal performance of windows to evaluate the suitability of the rating system. One hundred and twenty-eight windows were analyzed using THERM and WINDOW 7.4, and energy simulation for a reference model of an apartment house facing south was performed using TRNSYS 17. The results showed that window performance was the main factor in the heating and cooling load. The heating load of the reference model was 539 kWh to 2,022 kW, and the cooling load was 376 kWh to 1,443 kWh. The coefficient of determination ($R^2$) of the heating and cooling loads driven from the SHGC were 0.7437 and 0.9869, which are more compatible than those from the U-value, 0.0558 and 0.4781. Therefore, it is not reasonable to evaluate the energy performance of windows using only the U-value, and the Korean fenestration energy consumption efficiency rating system requires a new evaluation standard, including SHGC.

• 대한전자공학회논문지TC
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• 제43권9호
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• pp.165-174
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• 2006

본 논문에서는 IEEE 802.11 기반 무선 멀티홉 망에서 TCP의 성능을 향상시키기 위하여 새로운 Contention Window(CW) 제어 알고리즘을 제안 하였다. 제안한 Contention Window(CW) 제어 알고리즘은 무선 멀티홉 망에서 빈번히 발생하는 hidden terminal 문제의 영향을 경감시킨다 무선 멀티홉 망에서 발생하는 대부분의 패킷 손실은 패킷의 충돌에 의한 것이 아니라 hidden terminal과 exposed terminal로 인하여 발생된다. 그러나 IEEE 802.11 DFC 알고리즘에서는 전송에 실패한 사용자의 CW를 지수형태로 증가시키므로 해당노드가 전송에 성공할 확률을 더욱 감소시킨다. 이는 전송에 성공한 노드가 연속해서 패킷 전송에 성공할 가능성을 높여주어 burst한 데이터 전송이 일어날 수 있다. 한편, 최대 재전송을 시도한 후에도 데이터를 보내지 못한 노드는 네트워크 계층에서의 경로 재전송을 시도하게 되는데 이로 인해 데이터 전송이 중지되고 성능감소가 일어날 수 있다. 이와 같은 문제를 해결하기 위하여 본 논문에서 제안한 기법에서는 backoff 재전송의 횟수를 증가시키고 적절한 CW의 크기를 설정하는 방안을 제안 하였다. Ns-2를 사용하여 체인 토폴로지와 격자 토폴로지에서의 시뮬레이션을 수행해 제안된 기법이 무선 멀티홉 망에서 TCP 성능을 향상시킴을 확인 하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권2호
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• pp.855-870
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• 2020

Windows are key components of building facades. Detecting windows, crucial to 3D semantic reconstruction and scene parsing, is a challenging task in computer vision. Early methods try to solve window detection by using hand-crafted features and traditional classifiers. However, these methods are unable to handle the diversity of window instances in real scenes and suffer from heavy computational costs. Recently, convolutional neural networks based object detection algorithms attract much attention due to their good performances. Unfortunately, directly training them for challenging window detection cannot achieve satisfying results. In this paper, we propose an approach for window detection. It involves an improved Faster R-CNN architecture for window detection, featuring in a window region proposal network, an RoI feature fusion and a context enhancement module. Besides, a post optimization process is designed by the regular distribution of windows to refine detection results obtained by the improved deep architecture. Furthermore, we present a newly collected dataset which is the largest one for window detection in real street scenes to date. Experimental results on both existing datasets and the new dataset show that the proposed method has outstanding performance.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.655-656
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• 2008

There are trade-offs between a window size and an issue width for superscalar processors. A good balance between them prevents waste of system resources. In this paper, we investigate the performance of a superscalar processor with various sizes of window and issue width. From the experiments, we find that there is a linear relationship between window size and issue width.