Relevant bibliographies by topics / Window Performance

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Window Performance'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Window Performance"

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Kim, Seok-Hyun, Hakgeun Jeong, and Soo Cho. "A Study on Changes of Window Thermal Performance by Analysis of Physical Test Results in Korea." Energies 12, no. 20 (October 10, 2019): 3822. http://dx.doi.org/10.3390/en12203822.

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The interest in zero energy buildings is increasing in South Korea. Zero energy buildings need to save energy by using passive technology. The window performance is important to the thermal insulation of the building. Also, the government regulates the window performance through regulation and standards. However, it is difficult to predict window performance because the components of the window have become complicated due to the various materials used in the glass and frame. Based on window performance standards and regulations, the quality of window performance was managed. In this research, to consider thermal performance in proper window design in South Korea, we confirmed the impact on the thermal performance of the window through various kinds of materials and shapes. The authors also propose a window shape classification and frame calculation method based on actual test results. The authors analyzed the thermal performance data of the windows provided by the Korea Energy Agency and confirmed the change in the thermal performance of the windows by year and by frame material. The average U-value of the window decreased from 2012 to 2015 and maintained similar values until 2017. In 2018, this value was decreased to comply. Also, the authors confirmed the U-value of the windows through actual physical experiments and confirmed the change in thermal performance by the construction of the windows based on the results. The results show, in the case of aluminum windows, the U-value corresponding to Grade 3 (1.4–2.1 W/m2·K) was as high as about 60%. Regarding the analyzed results of the U-values of PVC windows, Grade 3 (U-value of 1.4–2.1 W/m2·K) accounted for about 35%, and Grade 2 (U-value of 1.0–1.4 W/m2·K) for about 29%. This paper also confirmed that the frame U-value of the PVC windows is lower than the frame U-value of the aluminum windows. Therefore, the authors proposed the performance index of the glazing part in PVC and aluminum window design. The results of this research can be used as basic data to identify problems in the method of determining the performance of windows in Korea.
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Perkins, Raymond T., David D. Allred, Larry V. Knight, and James M. Thorne. "Design of High Performance Soft X-ray Windows." Advances in X-ray Analysis 33 (1989): 615–22. http://dx.doi.org/10.1154/s0376030800020085.

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X-ray windows are used in sources and detectors to separate the neighborhood of the x-ray generation or detection from the use environment. While each use has its own requirements, there are some principles that should be used in designing an optimal x-ray window. Because x rays are absorbed to some extent by all materials, minimizing absorption is one criterion in preparing windows. Also, for most uses there is a pressure difference across the window so that ensuring pinhole-free structure and sufficient mechanical strength to support the differential is another criterion for window design. Traditionally, absorption, is minimized by fabricating the window with lower atomic number (low Z) elements such as Be, B or C. However, the wavelength (energy) region of interest becomes a very important complicating factor.
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Iordache, Florin, Iulian Clita, and Arthur-Sebastian Klepş. "Energy Performance Analysis of Insulating Windows." Mathematical Modelling in Civil Engineering 9, no. 2 (June 1, 2013): 9–19. http://dx.doi.org/10.2478/mmce-2013-0006.

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Abstract The present paper thematically fits in the current concern for reducing energy consumption to ensure normal thermal comfort in residential and tertiary building heated spaces. Windows are an important area of the building envelope through which heat dissipates from the interior space to the exterior. As it is known the new insulating window types significantly reduce energy dissipation by both transmission and infiltration. This paper aims to establish the theoretical correlations that exist between different constructive functional parameters of insulating windows, such as gas or gases located between two or three window sheets and low-ε films to be applied on interior faces of the transparent elements. The theoretical work procedures as well as the tabulated and graphical results regarding the thermal resistances for various insulated window structures are presented. The results are analyzed in comparison with the values contained in the C107 regulation for building heat calculations.
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No, Sang-Tae, and Jun-Sik Seo. "Analysis of Window Components Affecting U-Value Using Thermal Transmittance Test Results and Multiple Linear Regression Analysis." Advances in Civil Engineering 2018 (2018): 1–7. http://dx.doi.org/10.1155/2018/1780809.

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Currently, global warming is accelerating, and many countries are trying to reduce greenhouse emission by enforcing low energy building. And the thermal performance of the windows is one of the factors that greatly influence the heating and cooling energy consumption of buildings. According to the development of the window system, the thermal performance of the windows is greatly improved. There are simulations and tests for window thermal performance evaluation techniques, but both are time consuming and costly. The purpose of this study is to develop a convenient method of predicting U-value at the window system design stage by multiple linear regression analysis. 532 U-value test results were collected, and window system components were set as independent values. As a result, the number of windows (single or double) among the components of the window has the greatest effect on the U-value. In this research, two regression equations for predicting U-value of window system were suggested, and the estimated standard errors of equations were 0.2569 in single window and 0.2039 in double window.
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Kalbe, Kristo, and Targo Kalamees. "Influence of Window Details on the Energy Performance of an nZEB." Journal of Sustainable Architecture and Civil Engineering 24, no. 1 (April 17, 2019): 61–70. http://dx.doi.org/10.5755/j01.sace.24.1.23234.

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One of the largest sources of heat loss in buildings are the windows. However, windows are alsoimportant to increase solar heat gain and provide daylight. It is necessary to understand how windowdetails influence the energy performance of very energy efficient houses. This is valuable informationfor the design decision making process and may lead to further research or product development. Thispaper examines the influence of window frame thermal transmittance, window frame width and windowinstallation depth on the energy demand of the building. A single-family prefabricated timber nZEBlocated in Estonia was used as a reference building for this study. The results show that decreasing thethermal transmittance and width of the window frame have a remarkable effect on the energy demandof the nZEB (a variation of 42% and 25% respectively). The effect of optimising window installation depthis insignificant (ca 3% variation of heat demand on most of the window placement range and up to 10%of increase in heat demand when comparing the optimal placement to the least effective one). However,it can further improve the energy performance.
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Samad, Md Abdus, Jia Uddin, and Md Razu Ahmed. "FIR Filter Design Using Modified Lanczos Window Function." Advanced Materials Research 566 (September 2012): 49–56. http://dx.doi.org/10.4028/www.scientific.net/amr.566.49.

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Attenuated side lobe peak in the range of around ~-45dB is required in many applications of signal processing and measurements. However, the problem is usual window based FIR filter design lies in its side lobes amplitudes that are higher than the requirement of application. We propose a modified Lanczos window function by heuristic by examining the Lanczos window, which has better performance like equiripple, minimum side lobe compared to the several commonly used windows. The proposed window has slightly larger main lobe width of the commonly used Hamming window, while featuring 5.1~18.5 dB smaller side lobe peak. The proposed modified Lanczos window maintains its maximum side lobe peak about -55.2~-51.9 dB compared to -39~-36.7 dB of Hamming window for M=10~14, while offering roughly equal main lobe width. Our simulated results also show significant performance upgrading of the proposed modified Lanczos window compared to the Kaiser, Gaussian, and Lanczos windows. The proposed modified Lanczos window also shows better performance than Dolph-Chebyshev window. Finally, the example of designed low pass FIR filter confirms the efficiency of the proposed modified Lanczos window.
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Najaf Khosravi, Shiva, and Ardeshir Mahdavi. "A CFD-Based Parametric Thermal Performance Analysis of Supply Air Ventilated Windows." Energies 14, no. 9 (April 23, 2021): 2420. http://dx.doi.org/10.3390/en14092420.

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Ventilated windows have the potential to contribute to both indoor air quality and energy efficiency in cold climates. A typical ventilated window functions as a solar collector under inward air flow direction and incident solar radiation. The ventilated window is a modification of the multiple pane windows in which air is drawn in from outside and is heated through conduction, convection, and radiation in the cavity. In this study, a detailed parametric analysis was conducted to investigate the thermal performance of ventilated windows and their capacity to preheat ventilation air. High-resolution 3D steady RANS computational fluid dynamic (CFD) simulations were performed for six ventilated window geometries. Model results were compared with measurements. The following geometric characteristics were evaluated in detail: (i) The height of the window, (ii) the width of the cavity, (iii) the location of double-layered glazing, and (iv) the width of the supply air opening. The results suggested that taller cavities and a smaller cavity depth can provide higher incoming air temperature. Windows with inner double-layered glazing and a smaller width of supply air opening displayed a better thermal performance.
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Park, Jaesung, Myunghwan Oh, and Chul-sung Lee. "Thermal Performance Optimization and Experimental Evaluation of Vacuum-Glazed Windows Manufactured via the In-Vacuum Method." Energies 12, no. 19 (September 24, 2019): 3634. http://dx.doi.org/10.3390/en12193634.

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Windows are essential in buildings; however, they have poor thermal performance, so extensive research has been conducted on improving their performance. In this study, we developed vacuum-glazed windows with excellent insulation via the in-vacuum method, which shortens the manufacturing time and vacuuming degree considerably. In addition, the configuration of the pillars, low-emissivity (low-e) coating, and frame from a thermal performance perspective was experimentally optimized. The results revealed that the optimal pillar placement spacing is 40 mm and that the low-e coating surface must be located inside the vacuum layer to maximize insulation performance. The vacuum-glazed window produced by the in-vacuum method was applied to an actual residential building to investigate its thermal performance, which was compared with that of a triple-glazed window. The results showed that the center-of-glazing heat flow of the vacuum-glazed window was approximately 0.8 W/m2K lower than that of the triple-glazed window. The difference between the average indoor and outdoor surface temperatures during the nighttime was found to be up to 35.1 °C for the vacuum-glazed window and 23.1 °C for the triple-glazed window. Therefore, the energy efficiency of the building can be greatly improved by applying vacuum windows manufactured via the in-vacuum method and optimized for the best thermal performance.
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Choi, Gyeong Seok, Tae Jung Kim, Jae Sik Kang, and Hyun Jung Choi. "Design and Energy Performance Evaluation of Energy Efficiency Windows with Nanotechnology Convergence Type." Applied Mechanics and Materials 521 (February 2014): 752–56. http://dx.doi.org/10.4028/www.scientific.net/amm.521.752.

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The purpose of this study, including an aluminum frame high efficiency window system is to develop and validate. In this study, simulation program based on the Window and Therm simulation program, aluminum frame profile, thermal bridges through optimization design of barrier efficiency of the 6type aluminum window system was constructed. In the results of high-efficiency windows system performance assessment, U value 0.8 ~ 1.1W/m2·K, air-tightness performance ratings of 1 showed the windows energy efficiency rating that meets the Class 1 or 2 ratings showed. This study is based on an aluminum frame with a high-efficiency windows were secure system design technology, future public housing, commercial buildings is expected to be applied to a variety of buildings.
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Rhee, S., S. Kim, H. R. Ahn, and T. Kim. "COMPARING STEREO IMAGE MATCHING PERFORMANCE BY MULTIDIMENSIONAL SEARCH WINDOWS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4 (September 19, 2018): 523–27. http://dx.doi.org/10.5194/isprs-archives-xlii-4-523-2018.

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<p><strong>Abstract.</strong> Image matching is a key technology for extraction of dense point cloud and 3D terrain information using satellite/aerial imagery. In image matching using brightness values of pixels, the size of search window is an important factor for determining the matching performance. In this study, we perform matching using multi-dimensional search windows applicable to area-based matching and compare the performance. Also, the search window is reconfigured by using the linear information existing on the image, and the matching is tried. Comparing the fixed search window and the multi-window matching results, it was confirmed that the multiple windows under the same conditions show relatively high accuracy. We can also see that the method of applying the line element has slightly better accuracy. As a result of applying the line element extraction technique, a large number of pixels are not extracted compared with the total image pixel amount. There was no significant difference in the results of visual analysis. However, we have confirmed that this technique has contributed to improving accuracy.</p>
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Dissertations / Theses on the topic "Window Performance"

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Degerman, Engfeldt Johnny. "Predicting Electrochromic Smart Window Performance." Licentiate thesis, KTH, Tillämpad elektrokemi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-95167.

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The building sector is one of the largest consumers of energy, where the cooling of buildings accounts for a large portion of the total energy consumption. Electrochromic (EC) smart windows have a great potential for increasing indoor comfort and saving large amounts of energy for buildings. An EC device can be viewed as a thin-film electrical battery whose charging state is manifested in optical absorption, i.e. the optical absorption increases with increased state-of-charge (SOC) and decreases with decreased state-of-charge. It is the EC technology's unique ability to control the absorption (transmittance) of solar energy and visible light in windows with small energy effort that can reduce buildings' cooling needs. Today, the EC technology is used to produce small windows and car rearview mirrors, and to reach the construction market it is crucial to be able to produce large area EC devices with satisfactory performance. A challenge with up-scaling is to design the EC device system with a rapid and uniform coloration (charging) and bleaching (discharging). In addition, up-scaling the EC technology is a large economic risk due to its expensive production equipment, thus making the choice of EC material and system extremely critical. Although this is a well-known issue, little work has been done to address and solve these problems. This thesis introduces a cost-efficient methodology, validated with experimental data, capable of predicting and optimizing EC device systems' performance in large area applications, such as EC smart windows. This methodology consists of an experimental set-up, experimental procedures and a twodimensional current distribution model. The experimental set-up, based on camera vision, is used in performing experimental procedures to develop and validate the model and methodology. The two-dimensional current distribution model takes secondary current distribution with charge transfer resistance, ohmic and time-dependent effects into account. Model simulations are done by numerically solving the model's differential equations using a finite element method. The methodology is validated with large area experiments. To show the advantage of using a well-functioning current distribution model as a design tool, some EC window size coloration and bleaching predictions are also included. These predictions show that the transparent conductor resistance greatly affects the performance of EC smart windows.
Byggnadssektorn är en av de största energiförbrukarna, där kylningen av byggnader står för en stor del av den totala energikonsumtionen. Elektrokroma (EC) smarta fönster har en stor potential för att öka inomhuskomforten och spara stora mängder energi för byggnader. Ett elektrokromt fönster kan ses som ett tunnfilmsbatteri vars laddningsnivå yttrar sig i dess optiska absorption, d.v.s. den optiska absorptionen ökar med ökad laddningsnivå och vice versa. Det är EC-teknologins unika egenskaper att kunna kontrollera absorptionen (transmittansen) av solenergi och synligt ljus i fönster med liten energiinsats som kan minska byggnaders kylningsbehov. EC-teknologin används idag till att producera små fönster och bilbackspeglar, men för att nå byggnadsmarknaden är det nödvändigt att kunna producera stora EC-anordningar med fullgod prestanda. En välkänd utmaning med uppskalning är att utforma EC-systemet med snabb och jämn infärgning (laddning) och urblekning (urladdning), vilket även innebär att uppskalning är en stor ekonomisk risk på grund av den dyra produktionsutrustningen. Trots att detta är välkända problem har lite arbete gjorts för att lösa dessa. Denna avhandling introducerar ett kostnadseffektivt tillvägagångssätt, validerat med experimentella data, kapabelt till att förutsäga och optimera ECsystems prestanda för anordningar med stor area, såsom elektrokroma smarta fönster. Detta tillvägagångssätt består av en experimentell uppställning, experiment och en tvådimensionell strömfördelningsmodell. Den experimentella uppställningen, baserad på kamerateknik, används i de experimentella tillvägagångssätten så att modellen kan utvecklas och valideras. Den tvådimensionella strömfördelningsmodellen inkluderar sekundär strömfördelning med laddningsöverföringsmotstånd, ohmska och tidsberoende effekter. Modellsimuleringarna görs genom att numeriskt lösa en modells differentialekvationer med hjälp av en finita-element-metod. Tillvägagångssättet är validerat med experiment gjorda på stora EC anordningar. För att visa fördelarna med att använda en väl fungerande strömfördelningsmodell som ett designverktyg, har några prediktioner av infärgning och urblekning av EC-fönster inkluderats. Dessa prediktioner visar att den transparenta strömtilledarresistansen har stor påverkan på EC-fönsters prestanda.
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Issertes-Carbonnier, Eric-Valentin. "Nanowindow: Measuring Window Performance and Energy Production of a Nanofluid Filled Window." Thesis, University of Oregon, 2017. http://hdl.handle.net/1794/22784.

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Windows reduce heat loss and heat gain by resisting conduction, convection, and radiation using thermal breaks, low-emissivity films, and window gaps. Contrary to advancing these resistive qualities, this research introduced a highly conductive gap medium using Al2O3 nanoparticles dispersed in deionized water to enhance thermal conductivity. The solution harnessed the photothermal properties of Al2O3 nanofluids to trap, store, and transport thermally charged fluids to heat exchangers to preheat air and water, and to generate electricity forming a transparent generator—the Nanowindow. Seven Nanowindow prototypes with varying orders of air and fluid columns were fabricated and tested using distilled water (H2Owindows) to establish a baseline of performance. A solar simulator was built to avoid environmental radiant flux irregularities providing a uniform test condition averaging 750–850 W/m2, and resulted in an undefined spectral match, Class B spatial uniformity, and Class B temporal stability. All Nanowindows were tested in a calibrated hot box determined to have a ±4% degree of accuracy based on four laboratory samples establishing a framework to conduct U-factor and solar heat gain coefficient (SHGC) measurements. Four heat exchange experiments and standardized window performance metrics (U-factor, SHGC, and visible transmission) where conducted on seven H2Owindows. The top two H2Owindows were then tested using Al2O3 nanofluids. The highest performing Nanowindow improved total convective heat transfer rates using Al2O3 by 90% over water baseline, and 61% improvement in preheat water experiments. Nanowindows coupled with thermoelectric generators generated a rated voltage of 0.31VDC/0.075ADC per 12in2 Nanowindow, an improvement of 38% over baseline. Standardized window performance metrics confirmed Nanowindow U-factors ranging from 0.23 to 0.54, SHGC from 0.43 to 0.67, and visible transmittance coefficient (VT) ranging from 0.27 to 0.38. The concept of nature as model system thinking provided a theoretical framework for the research and proof of concept experiment. Ultimately, the experiment shifted window gaps from resisting energy to harnessing solar energy. The Nanowindow thus presents a unique opportunity to turn vast glass facades into transparent generators to offset energy demand, and reduce greenhouse gases.
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Akbari, Sevda. "Studying Window Energy Performance Using Thermal Camera." Thesis, North Dakota State University, 2020. https://hdl.handle.net/10365/31818.

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Windows, which are responsible for 45% of overall heat loss, play a major role in a building’s energy performance. Therefore, it is critical to measure window energy performance for existing buildings. This study aimed to evaluate the energy performance of windows to determine if replacement of windows is necessary. The evaluation was based on window location, height, orientation, and weather condition in a high-rise residential building. A thermal camera was used for measurements and statistical analyses were performed for measured data. Analysis results showed different performance of each side and floor of the building with a significant difference at the 0.05 level due to various temperatures, wind speeds, and directions. This study suggests using more efficient windows on upper floors, particularly from the fourth floor and above is beneficial as well as considering dominant wind speed and direction for the best configuration of window design.
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Li, Chuhe. "A sliding window BIRCH algorithm with performance evaluations." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-32397.

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An increasing number of applications covered various fields generate transactional data or other time-stamped data which all belongs to time series data. Time series data mining is a popular topic in the data mining field, it introduces some challenges to improve accuracy and efficiency of algorithms for time series data. Time series data are dynamical, large-scale and high complexity, which makes it difficult to discover patterns among time series data with common methods suitable for static data. One of hierarchical-based clustering methods called BIRCH was proposed and employed for addressing the problems of large datasets. It minimizes the costs of I/O and time. A CF tree is generated during its working process and clusters are generated after four phases of the whole BIRCH procedure. A drawback of BIRCH is that it is not very scalable. This thesis is devoted to improve accuracy and efficiency of BIRCH algorithm. A sliding window BIRCH algorithm is implemented on the basis of BIRCH algorithm. At the end of thesis, the accuracy and efficiency of sliding window BIRCH are evaluated. A performance comparison among SW BIRCH, BIRCH and K-means are also presented with Silhouette Coefficient index and Calinski-Harabaz Index. The preliminary results indicate that the SW BIRCH may achieve a better performance than BIRCH in some cases.
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Pereira, Fernando Oscar Ruttkay. "Luminous and thermal performance of window shading and sunlighting reflecting devices." Thesis, University of Sheffield, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302180.

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Mkandawire, Suzie Jaimie 1978. "The performance of Double Skin Façade window systems by experimental methods." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/89879.

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Yun, Geun Young. "Occupant behaviour in buildings : thermal performance implications of window use patterns." Thesis, University of Cambridge, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.612484.

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Campbell, Sarah Anne. "Looking Outside the Canon: Owen Vincent Dodson'sBoy at the Window." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3677.

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Scholars have viewed African American texts written in the years between 1950 and 1960 as espousing confrontation, protest, and resistance. Although fruitful in identifying large writing trends, much of that scholarship narrowly defines what writing during that time accomplished, leaving out important writers whose writing does not fit the mold. One such writer is Owen Vincent Dodson (1914-1983), who published Boy at the Window in 1951. The novel uses modes of drama including song and call-and-response to invite reader sympathy and identification with characters, and eventually provides reader the opportunity to participate in creating meaning. Dodson's novel subtly combats racism by inviting readers to identify with its young, African American protagonist.
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Hoque, Md Sanaul. "An approach to high performance image classifier design using a moving window principle." Thesis, University of Kent, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250329.

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Wei, Shen. "Preference-based modelling and prediction of occupants window behaviour in non-air-conditioned office buildings." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/14066.

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In naturally ventilated buildings, occupants play a key role in the performance and energy efficiency of the building operation, mainly through the opening and closing of windows. To include the effects of building occupants within building performance simulation, several useful models describing building occupants and their window opening/closing behaviour have been generated in the past 20 years. However, in these models, the occupants are classified based on the whole population or on sub-groups within a building, whilst the behavioural difference between individuals is commonly ignored. This research project addresses this latter issue by evaluating the importance of the modelling and prediction of occupants window behaviour individually, rather than putting them into a larger population group. The analysis is based on field-measured data collected from a case study building containing a number of single-occupied cellular offices. The study focuses on the final position of windows at the end of the working day. In the survey, 36 offices and their occupants were monitored, with respect to the occupants presence and window use behaviour, in three main periods of a year: summer, winter and transitional. From the behaviour analysis, several non-environmental factors, namely, season, floor level, gender and personal preference, are identified to have a statistically significant effect on the end-of-day window position in the building examined. Using these factors, occupants window behaviour is modelled by three different classification methods of building occupants, namely, whole population, sub-groups and personal preference. The preference-based model is found to perform much better predictive ability on window state when compared with those developed based on whole population and sub-groups. When used in a realistic building simulation problem, the preference-based prediction of window behaviour can reflect well the different energy performance among individual rooms, caused by different window use patterns. This cannot be demonstrated by the other two models. The findings from this research project will help both building designers and building managers to obtain a more accurate prediction of building performance and a better understanding of what is happening in actual buildings. Additionally, if the habits and behavioural preferences of occupants are well understood, this knowledge can be potentially used to increase the efficiency of building operation, by either relocating occupants within the building or by educating them to be more energy efficient.
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Books on the topic "Window Performance"

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Garvin, S. L. Whole life performance of domestic automatic window controls. Watford: CRC, 2002.

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Hardman, BG, CR Wagus, and TA Weston, eds. Performance and Durability of the Window-Wall Interface. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 2006. http://dx.doi.org/10.1520/stp1484-eb.

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Young, Douglas A. Motif debugging and performance tuning. Englewood Cliffs, N.J: PTR Prentice Hall, 1995.

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Vital mummies: Performance design for the show-window mannequin. New Haven, Conn: Yale University Press, 1995.

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Limited, Enermodal Engineering. Window and door thermal performance requirements in Canadian building codes. Ottawa: Dept. of Natural Resources Canada, CANMET, Efficiency & Alternative Energy Technology Branch, Energy Efficiency Division, 1994.

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Building Science Insight '88 (1988). Window performance and new technology: Proceedings of Building Science Insight'88. Ottawa: National Research Council Canada, Institute for Research in Construction, 1988.

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Corporation, Microsoft, ed. Microsoft SQL Server 2012 high-performance T-SQL using Window functions. Sebastopol, Calif: O'Reilly Media, 2012.

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Craig, Roger. Science objectives and performance of a radiometer and window design for atmospheric entry experiments. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1994.

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McCabe, M. E. Interim procedure to measure the thermal performance of window systems: M.E. McCabe, W.P. Goss. Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1987.

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Name, Mark L. Van. Windows performance secrets. Indianapolis, IN: Que, 1998.

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Book chapters on the topic "Window Performance"

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Normandin, Kyle, and Robyn Pender. "A Window of Opportunity." In Building Science and the Physics of Building Enclosure Performance, 67–87. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 2020. http://dx.doi.org/10.1520/stp161720180075.

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Mallikharjuna Rao, Nuka, and Mannava Muniratnam Naidu. "Performance Measurement of Sliding Window Algorithm." In Sliding Window Algorithm for Mobile Communication Networks, 35–53. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-8473-7_3.

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Kellenberger, Kathi, and Clayton Groom. "Tuning for Better Performance." In Expert T-SQL Window Functions in SQL Server, 47–60. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-1103-8_4.

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Vandierendonck, Hans, and André Seznec. "Fetch Gating Control Through Speculative Instruction Window Weighting." In High Performance Embedded Architectures and Compilers, 120–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-69338-3_9.

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Kellenberger, Kathi, Clayton Groom, and Ed Pollack. "Tuning for Better Performance." In Expert T-SQL Window Functions in SQL Server 2019, 113–39. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5197-3_8.

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Vandierendonck, Hans, and André Seznec. "Fetch Gating Control through Speculative Instruction Window Weighting." In Transactions on High-Performance Embedded Architectures and Compilers II, 128–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00904-4_8.

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Latorre, Fernando, Grigorios Magklis, Jose González, Pedro Chaparro, and Antonio González. "CROB: Implementing a Large Instruction Window through Compression." In Transactions on High-Performance Embedded Architectures and Compilers III, 115–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19448-1_7.

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Sun, Baolin, Chao Gui, Ying Song, Hua Chen, and Xiaoyan Zhu. "Performance Analysis of Sliding Window Network Coding in MANET." In Communications in Computer and Information Science, 174–83. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2209-8_15.

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Onvural, Raif O., H. G. Perros, and U. Koerner. "On a Multiclass Queue with Class Dependent Window-Flow Control." In Modeling Techniques and Tools for Computer Performance Evaluation, 189–99. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0533-0_13.

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Brown, Trevor, John Posenecker, and Keith A. Simon. "Water Penetration and Air Leakage Testing of Flanged Window Details." In Symposium on Whole Building Air Leakage: Testing and Building Performance Impacts, 230–47. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 2019. http://dx.doi.org/10.1520/stp161520180028.

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Conference papers on the topic "Window Performance"

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Fukuda, Eric Shun, Hideyuki Kawashima, Hiroaki Inoue, Tetsuya Asai, and Masato Motomura. "Exploiting hardware reconfigurability on window join." In 2013 International Conference on High Performance Computing & Simulation (HPCS). IEEE, 2013. http://dx.doi.org/10.1109/hpcsim.2013.6641496.

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Selkowitz, Steven E., Michael Rubin, E. S. Lee, and R. Sullivan. "Review of electrochromic window performance factors." In Optical Materials Technology for Energy Efficiency and Solar Energy Conversion XIII, edited by Volker Wittwer, Claes G. Granqvist, and Carl M. Lampert. SPIE, 1994. http://dx.doi.org/10.1117/12.185373.

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Ungar, Jeffrey E., Nadav Bar-Chaim, and Israel Ury. "Improved Performance Buried Heterostructure Window Lasers." In 1988 Los Angeles Symposium--O-E/LASE '88, edited by Luis Figueroa. SPIE, 1988. http://dx.doi.org/10.1117/12.944361.

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Cole, Robert E., John O. Merritt, Richard Coleman, and Curtis S. Ikehara. "Teleoperator performance with virtual window display." In Electronic Imaging '91, San Jose,CA, edited by John O. Merritt and Scott S. Fisher. SPIE, 1991. http://dx.doi.org/10.1117/12.46300.

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Buchberg, Brandon S., and Michael J. Louis. "Window Performance Testing: What You Need to Know when Selecting Windows." In Architectural Engineering Conference (AEI) 2008. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/41002(328)50.

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Avci, Kemal, and Oguzhan Coskun. "Spectral performance analysis of cosh window based new two parameter hybrid windows." In 2018 26th Signal Processing and Communications Applications Conference (SIU). IEEE, 2018. http://dx.doi.org/10.1109/siu.2018.8404812.

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Jelonnek, J. "Effect of window tolerances on gyrotron performance." In 18th International Conference on Infrared and Millimeter Waves. SPIE, 1993. http://dx.doi.org/10.1117/12.2298525.

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Carini, G. A., W. Chen, G. De Geronimo, J. Fried, J. A. Gaskin, J. W. Keister, Z. Li, B. D. Ramsey, P. Rehak, and D. P. Siddons. "Performance of thin-window Silicon Drift Detectors." In 2008 IEEE Nuclear Science Symposium and Medical Imaging conference (2008 NSS/MIC). IEEE, 2008. http://dx.doi.org/10.1109/nssmic.2008.4774768.

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Ghosh, Aritra. "Thermal Performance Analysis of BIPV-PDLC Window." In ISES Solar World Congress 2019/IEA SHC International Conference on Solar Heating and Cooling for Buildings and Industry 2019. Freiburg, Germany: International Solar Energy Society, 2019. http://dx.doi.org/10.18086/swc.2019.36.01.

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Taylor, James B., Richard Boland, Edward Gowac, Paul Stupik, and Marc Tricard. "Recent advances in high-performance window fabrication." In SPIE Defense, Security, and Sensing, edited by Randal W. Tustison and Brian J. Zelinski. SPIE, 2013. http://dx.doi.org/10.1117/12.2015848.

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Reports on the topic "Window Performance"

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Shrestha, Som S., Diana E. Hun, and Andre Omer Desjarlais. High Performance Window Retrofit. Office of Scientific and Technical Information (OSTI), December 2013. http://dx.doi.org/10.2172/1122690.

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Carmody, John, and Kerry Haglund. Measure Guideline. Energy-Efficient Window Performance and Selection. Office of Scientific and Technical Information (OSTI), November 2012. http://dx.doi.org/10.2172/1219839.

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Carmody, J., and K. Haglund. Measure Guideline: Energy-Efficient Window Performance and Selection. Office of Scientific and Technical Information (OSTI), November 2012. http://dx.doi.org/10.2172/1059139.

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Lee, Eleanor, Charlie Curcija, Taoning Wang, Christoph Gehbauer, Anothai Thanachareonkit, Gregory Ward, David Deisler-Moroder, et al. High-Performance Integrated Window and Façade Solutions for California. Office of Scientific and Technical Information (OSTI), January 2020. http://dx.doi.org/10.2172/1782134.

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McCabe, M. E., and W. P. Goss. Interim procedure to measure the thermal performance of window systems. Gaithersburg, MD: National Bureau of Standards, 1987. http://dx.doi.org/10.6028/nbs.ir.87-3569.

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Humphries, S. Jr. Investigation and Prediction of RF Window Performance in APT Accelerators. Office of Scientific and Technical Information (OSTI), May 1997. http://dx.doi.org/10.2172/758326.

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Culp, Thomas, and Katherine Cort. Database of Low-e Storm Window Energy Performance across U.S. Climate Zones. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1157001.

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Gilbride, Theresa L., Stephen Selkowitz, Olivia G. Dingus, and Katherine A. Cort. Double or Triple? Factors Influencing the Window Purchasing Decisions of High-Performance Home Builders. Office of Scientific and Technical Information (OSTI), July 2019. http://dx.doi.org/10.2172/1557862.

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George, Jacob, and Ronald A. Wagstaff. The Effects of Variable Time Window Width and Signal Position Within FFT Bin on WISPR Performance. Fort Belvoir, VA: Defense Technical Information Center, February 1996. http://dx.doi.org/10.21236/ada304893.

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Cort, Katherine A., and Thomas D. Culp. Database of Low-E Storm Window Energy Performance across U.S. Climate Zones (Task ET-WIN-PNNL-FY13-01_5.3). Office of Scientific and Technical Information (OSTI), September 2013. http://dx.doi.org/10.2172/1113601.

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