Academic literature on the topic 'Self-shading strategy'

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Journal articles on the topic "Self-shading strategy"

1

Nikpour, Mansour, Mohd Zin Kandar, Mohsen Ghasemi, Mohammad Ghomeshi, and Mohammad Reza Safizadeh. "Heat Transfer Reduction Using Self Shading Strategy in Energy Commission Building in Malaysia." Journal of Applied Sciences 12, no. 9 (2012): 897–901. http://dx.doi.org/10.3923/jas.2012.897.901.

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Nikpour, Mansour, Mohd Zin Kandar, and Elahe Mosavi. "Investigating Daylight Quality Using Self-Shading Strategy in Energy Commission Building in Malaysia." Indoor and Built Environment 22, no. 5 (2012): 822–35. http://dx.doi.org/10.1177/1420326x12458512.

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Kikuzawa, K. "Leaf phenology as an optimal strategy for carbon gain in plants." Canadian Journal of Botany 73, no. 2 (1995): 158–63. http://dx.doi.org/10.1139/b95-019.

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Since leaves are essentially energy-gaining organs, the arrangement of leaves in time (leaf phenology) and in space (canopy architecture) in both seasonal and nonseasonal environments can be viewed as a central element in plant strategies for carbon gain. Interrelationships among leaf longevity, leaf habit, and leaf-emergence pattern together with shoot architecture affect plant productivity. Leaf longevity is shown to maximize carbon gain through three parameters: leaf photosynthetic rate, the decrease in photosynthetic rate with leaf age, and the initial construction costs of the leaf. This
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Palvi, Sethi*1 &. Dr. Vishal Pareek2. "RESTORATION OF DEGRADED IMAGES USING HYBRID DENOISED MODEL WITH FUSION AND ENHANCEMENT." GLOBAL JOURNAL OF ADVANCED ENGINEERING TECHNOLOGIES AND SCIENCES 6, no. 7 (2019): 31–39. https://doi.org/10.5281/zenodo.3357868.

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Image reclamation is a craftsmanship to improve the idea of Image by means of assessing the proportion of commotions and obscure occupied with the Image. Despite the vital research drove on this subject, the improvement of capable denoising procedures is up 'til now a persuading test. The huge inadequacy is that while redesign, the splendor of the Image self-destructs in an impressive sum. The Image fusions techniques perform well spatially however more often than not present otherworldly bending. Which implies that the variety of tint when the combination procedure has showed up? There is
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Liu, Jianlong, Hongwei Sun, Xuening Wang, et al. "Bagging Strategy and Identification of Coloring Mode of ‘Xinqihong’ Pear." International Journal of Molecular Sciences 23, no. 13 (2022): 7310. http://dx.doi.org/10.3390/ijms23137310.

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‘Xinqihong’ is a recently selected and well-colored red pear (Pyrus bretschneideri Rehd.) cultivar that is popular in the marketplace owing to the bright red color and high quality of the fruit. The red pigmentation is strongly associated with the light signal. However, its responses to bagging treatment and to light exposure after shading are unknown. In this study, the fruit were treated with three types of fruit bags. ’Xinqihong’ fruit colored rapidly in response to light stimulation. A white fruit bag was optimal for bagging of ‘Xinqihong’ fruit. To ensure satisfactory red pigmentation, th
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Wang, Yonggang, Shengnan Dai, Pinchi Liu, and Xinyu Zhao. "A Hybrid Particle Swarm Optimization with Butterfly Optimization Algorithm Based Maximum Power Point Tracking for Photovoltaic Array under Partial Shading Conditions." Sustainability 15, no. 16 (2023): 12402. http://dx.doi.org/10.3390/su151612402.

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The key objective of this paper is to develop a photovoltaic (PV) maximum power point tracking (MPPT) algorithm based on particle swarm optimization–butterfly optimization algorithm (PSO-BOA) that is adapted for partial shading conditions (PSCs). Generally, conventional MPPT techniques are often unable to accurately locate the global maximum power point (GMPP) generated by partial shading in PV systems. As a result, a significant decrease in power output occurs. The traditional particle swarm optimization (PSO) algorithm traps the local maxima point easily, while the butterfly optimization alg
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Kandar, M. Z., P. S. Nimlyat, M. G. Abdullahi, and Y. A. Dodo. "Influence of inclined wall self-shading strategy on office building heat gain and energy performance in hot humid climate of Malaysia." Heliyon 5, no. 7 (2019): e02077. http://dx.doi.org/10.1016/j.heliyon.2019.e02077.

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McDougall, Bryn K., and Goen E. Ho. "A Study of the Eutrophication of North Lake, Western Australia." Water Science and Technology 23, no. 1-3 (1991): 163–73. http://dx.doi.org/10.2166/wst.1991.0412.

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North Lake is an urban freshwater wetland, and like other wetlands in the Perth metropolitan region, Western Australia, has become nutrient enriched, with the accompanying problems of algal blooms, decay, odour, infestation with midges and aesthetic deterioration. A study of the water quality of the lake was undertaken to quantify the variation of phosphorus, nitrogen and chlorophyll-a, and the sediments store of nutrients and their release with pH. The dominant algae in the lake, Microcystis, was found to be limited in growth by nitrogen because of the high availability of phosphorus (&gt
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Read, Tyffen C., Marion Petit, Marion Magnan, and David Booth. "Going back to the roots: finding a strategy for the management of nesting loggerhead sea turtles in New Caledonia." Australian Journal of Zoology 66, no. 6 (2018): 394. http://dx.doi.org/10.1071/zo19051.

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Incubation temperature plays a vital role in sea turtle life history because it influences embryonic growth, sex determination and hatchling attributes such as body size, residual yolk size, self-righting ability, crawling speed and swimming speed. For these reasons there is concern that predicted increases in air temperature, as a result of global warming, will increase nest temperatures and result in decreased hatching success, decrease or cease male hatchling production, and decreased hatchling quality. In a previous study examining incubation temperature at a loggerhead turtle (Caretta car
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Hsia, Chih-Hsien, Hsiao-Chu Peng, and Hung-Tse Chan. "All-Weather Pedestrian Detection Based on Double-Stream Multispectral Network." Electronics 12, no. 10 (2023): 2312. http://dx.doi.org/10.3390/electronics12102312.

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Recently, advanced driver assistance systems (ADAS) have attracted wide attention in pedestrian detection for using the multi-spectrum generated by multi-sensors. However, it is quite challenging for image-based sensors to perform their tasks due to instabilities such as light changes, object shading, or weather conditions. Considering all the above, based on different spectral information of RGB and thermal images, this study proposed a deep learning (DL) framework to improve the problem of confusing light sources and extract highly differentiated multimodal features through multispectral fus
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