Academic literature on the topic 'Shadoks'

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Journal articles on the topic "Shadoks"

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Raoult, Didier, and Jean-Marc Rolain. "The Paradigm of the Shadoks and Antibiotic Resistance." Clinical Infectious Diseases 69, no. 9 (2019): 1641. http://dx.doi.org/10.1093/cid/ciz183.

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George, Sam. "Vampires, Demons and the Disappearing Shadow in Folkloric Fictions of the Long Nineteenth Century." Gothic Studies 22, no. 1 (2020): 31–48. http://dx.doi.org/10.3366/gothic.2020.0036.

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This article interrogates manifestations of the shadow soul, combining anthropological, magical and religious approaches to the shadow in an analysis of a small group of interrelated Gothic texts. It enters the shadowy worlds of Peter Schlemihl, protagonist of Hans Andersen's ‘The Shadow’, Dracula, and Peter Pan, who, on being detached from their shadows, have themselves become shades. This journey into the kingdom of shadows will uncover the folkloric demon, the vampire, the physiognomist, the satyr, the pagan Pan, and the Devil himself. To read these narratives through Frazer's The Golden Bough challenges conventional psychoanalytic readings and offers an alternative, folkloric perspective, one which lays bare the ritualistic and magical beliefs that inform late nineteenth- and early twentieth-century Gothic.
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Denis, Sébastien. "(Dé)synchro-Shadok. Animation, musique concrète et ingénierie à l’ORTF." Intermédialités, no. 19 (October 9, 2012): 103–20. http://dx.doi.org/10.7202/1012658ar.

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La série Les Shadoks de Jacques Rouxel, produite en France entre 1968 et 1974, est emblématique de l’esprit expérimental de Pierre Schaeffer, à la tête à l’époque du Service de la Recherche de l’ORTF. Si la série est largement axée sur la désynchronisation entre image et son pour mettre en valeur la musique concrète, Schaeffer a pour sa part tenté de synchroniser ses équipes avec des découvertes technologiques (notamment l’animographe) tout en désynchronisant l’organisation de son service et en resynchronisant le public avec un esprit moderne, en rupture avec le conformisme audiovisuel des années Pompidou.
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Sharma, Nazuk. "Luxury implications of showcasing a product with its “cast” shadow." Journal of Consumer Marketing 33, no. 7 (2016): 507–16. http://dx.doi.org/10.1108/jcm-06-2016-1847.

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Purpose This paper aims to investigate the role of showcasing a product with its cast shadow (formed in the ad’s background by the advertised product) on consumer product perceptions. Design/methodology/approach Three experimentally designed studies, incorporating two product categories, demonstrate the impact of visual presentation of a product with its shadow on consumer evaluations. A total of 203 participants (MTurkers, and student respondents at a southern university) provided data for these studies through questionnaires (online as well as paper-pencil formats). Findings Findings reveal that the presence of a product’s cast shadow in the ad frame increases its visual acuity, which in turn enhances its luxury perceptions. Downstream, a product shadow’s presence positively impacts its overall evaluations, through enhanced product luxury perceptions. Also, consumers with high Centrality of Visual Product Aesthetics (CVPA) demonstrate a stronger liking for such product presentations. Research limitations/implications The current findings not only demonstrate the positive impact of product shadows on consumer perceptions, but also enrich the luxury and aesthetics literature streams. Practical implications Advertisers often subjectively use product shadows as stylistic tools in marketing communications. This research offers some practical guidelines to use shadows in fostering product luxury perceptions and better target aesthetically-sensitive consumers. Originality/value Advertising research suggests that visual styling and presentation of products significantly impacts consumer perceptions. However, the role of product shadows has not yet been empirically examined. This paper makes an attempt to test whether and how product shadows impact consumer perceptions.
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Fushio, Yuki, and Mitsunori Matsushita. "Dynamic Shadow Generation System Based on Shape Recognition." Journal of Advanced Computational Intelligence and Intelligent Informatics 16, no. 2 (2012): 212–18. http://dx.doi.org/10.20965/jaciii.2012.p0212.

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This paper proposes a dynamic shadow generation system that combines the shadow of an object with the artificial shadows of virtual characters. In our proposed system, infrared light is used to capture an object’s shadow in order to discriminate between a shadow generated by an object and a virtual shadow generated by the system. Our proposed system determines areas in which shadows do not appear and then the shadows of virtual characters are added to these areas. This paper presents the basic idea of the system, the shadow generation algorithm that it uses, and an empirical study on the sharpness of a generated shadow, along with the distance between an object and a screen used in this system.
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Lekshmi, Ajayan, and C. Christopher Seldev. "Shadow Removal Using Inpainting and Interpolation Technique." Applied Mechanics and Materials 626 (August 2014): 32–37. http://dx.doi.org/10.4028/www.scientific.net/amm.626.32.

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Shadows are viewed as undesired information that strongly affects images. Shadows may cause a high risk to present false color tones, to distort the shape of objects, to merge, or to lose objects. This paper proposes a novel approach for the detection and removal of shadows in an image. Firstly the shadow and non shadow region of the original image is identified by HSV color model. The shadow removal is based on exemplar based image inpainting. Finally, the border between the reconstructed shadow and the non shadow areas undergoes bilinear interpolation to yield a smooth transition between them. They would lead to a better fitting of the shadow and non shadow classes, thus resulting in a potentially better reconstruction quality.
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Edwards, B. H. "The Shadow of Shadows." positions: east asia cultures critique 11, no. 1 (2003): 11–49. http://dx.doi.org/10.1215/10679847-11-1-11.

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Zhou, Kaixuan, Roderik Lindenbergh, and Ben Gorte. "Automatic Shadow Detection in Urban Very-High-Resolution Images Using Existing 3D Models for Free Training." Remote Sensing 11, no. 1 (2019): 72. http://dx.doi.org/10.3390/rs11010072.

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Up-to-date 3D city models are needed for many applications. Very-high-resolution (VHR) images with rich geometric and spectral information and a high update rate are increasingly applied for the purpose of updating 3D models. Shadow detection is the primary step for image interpretation, as shadow causes radiometric distortions. In addition, shadow itself is valuable geometric information. However, shadows are often complicated and environment-dependent. Supervised learning is considered to perform well in detecting shadows when training samples selected from these images are available. Unfortunately, manual labeling of images is expensive. Existing 3D models have been used to reconstruct shadows to provide free, computer-generated training samples, i.e., samples free from intensive manual labeling. However, accurate shadow reconstruction for large 3D models consisting of millions of triangles is either difficult or time-consuming. In addition, due to inaccuracy and incompleteness of the model, and different acquisition time between 3D models and images, mislabeling refers to training samples that are shadows but labeled as non-shadows and vice versa. We propose a ray-tracing approach with an effective KD tree construction to feasibly reconstruct accurate shadows for a large 3D model. An adaptive erosion approach is first provided to remove mislabeling effects near shadow boundaries. Next, a comparative study considering four classification methods, quadratic discriminant analysis (QDA) fusion, support vector machine (SVM), K nearest neighbors (KNN) and Random forest (RF), is performed to select the best classification method with respect to capturing the complicated properties of shadows and robustness to mislabeling. The experiments are performed on Dutch Amersfoort data with around 20% mislabels and the Toronto benchmark by simulating mislabels from inverting shadows to non-shadows. RF is tested to give robust and best results with 95.38% overall accuracy (OA) and a value of 0.9 for kappa coefficient (KC) for Amersfoort and around 96% OA and 0.92 KC for Toronto benchmarks when no more than 50% of shadows are inverted. QDA fusion and KNN are tested to be robust to mislabels but their capability to capture complicated properties of shadows is worse than RF. SVM is tested to have a good capability to separate shadow and non-shadows but is largely affected by mislabeled samples. It is shown that RF with free-training samples from existing 3D models is an automatic, effective, and robust approach for shadow detection from VHR images.
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Yamashita, Yukihiro, Fumihiko Sakaue, and Jun Sato. "Fast 3D Shape Recovery from Shadows Projected on Arbitrary Curved Surfaces." International Journal of Virtual Reality 9, no. 1 (2010): 1–6. http://dx.doi.org/10.20870/ijvr.2010.9.1.2754.

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The shadow based 3D surface reconstruction methods usually assume that shadows are projected on planar surfaces. However, shadows are often projected on curved surfaces in the real scene. Recently, the shadow graph has been proposed for representing shadow information efficiently, and for recovering 3D shapes from shadows projected on curved surfaces. Unfortunately, the method requires a large computational cost and is weak to the image intensity noises. In this paper, we introduce 1D shadow graphs which can represent shadow information quite efficiently, and can be used for recovering 3D shapes with much smaller computational costs than before. We also extend our method, so that we can recover 3D shape quite accurately by using shading information as well as shadow information. The proposed method is tested by using the real and synthetic images.
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Han, Hongyin, Chengshan Han, Xucheng Xue, et al. "A Mixed Property-Based Automatic Shadow Detection Approach for VHR Multispectral Remote Sensing Images." Applied Sciences 8, no. 10 (2018): 1883. http://dx.doi.org/10.3390/app8101883.

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Shadows in very high-resolution multispectral remote sensing images hinder many applications, such as change detection, target recognition, and image classification. Though a wide variety of significant research has explored shadow detection, shadow pixels are still more or less omitted and are wrongly confused with vegetation pixels in some cases. In this study, to further manage the problems of shadow omission and vegetation misclassification, a mixed property-based shadow index is developed for detecting shadows in very high-resolution multispectral remote sensing images based on the difference of the hue component and the intensity component between shadows and nonshadows, and the difference of the reflectivity of the red band and the near infrared band between shadows and vegetation cover in nonshadows. Then, the final shadow mask is achieved, with an optimal threshold automatically obtained from the index image histogram. To validate the effectiveness of our approach for shadow detection, three test images are selected from the multispectral WorldView-3 images of Rio de Janeiro, Brazil, and are tested with our method. When compared with other investigated standard shadow detection methods, the resulting images produced by our method deliver a higher average overall accuracy (95.02%) and a better visual sense. The highly accurate data show the efficacy and stability of the proposed approach in appropriately detecting shadows and correctly classifying shadow pixels against the vegetation pixels for very high-resolution multispectral remote sensing images.
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Dissertations / Theses on the topic "Shadoks"

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Kuraityté, Kuraityté Milda Milda. "Shadow graphic : creating a dynamic typographic installation with shadows." Master's thesis, Universidade de Lisboa. Faculdade de Arquitetura, 2014. http://hdl.handle.net/10400.5/7934.

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Posolda, Jan. "Metody pro odstranění aliasu při zobrazení stínů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236521.

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This paper concerns aliasing removal methods during the shadow displaying. Method of shadow mapping, its principles, procedure and mainly its drawbacks in the form of aliasing development are described. For the removal of this undesirable phenomenon, several aliasing suppressing methods are described - Percentage Closer Filter, Variance Shadow Map, Convulotion Shadow Map, Exponential Shadow Map a Bilateral Filter. I conclude my work with a proposal and implementation of a demonstrative application, which demonstrates the implemented results adequately. Also, the comparison of individual methods on the basis of their quality and computational demands is included.
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Kudlač, Boris. "Techniky výpočtu stínů v reálném čase." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236725.

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The goal of this work is to create complete overview about existing techniques for real-time shadow computation in computer graphics. It describes theory of each technique and it's algorithm, as well as implementation details and practical usage. It completely informs about each technique features, problems, extensions, advantages and disadvantages for different situations and asks a question, if there is one all-solving shadow technique suitable for all purposes. In the end, the thesis compares all the techniques in their features, limitations and hardware usage.
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Mohapatra, Deepankar. "Automatic Removal of Complex Shadows From Indoor Videos." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804942/.

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Shadows in indoor scenarios are usually characterized with multiple light sources that produce complex shadow patterns of a single object. Without removing shadow, the foreground object tends to be erroneously segmented. The inconsistent hue and intensity of shadows make automatic removal a challenging task. In this thesis, a dynamic thresholding and transfer learning-based method for removing shadows is proposed. The method suppresses light shadows with a dynamically computed threshold and removes dark shadows using an online learning strategy that is built upon a base classifier trained with manually annotated examples and refined with the automatically identified examples in the new videos. Experimental results demonstrate that despite variation of lighting conditions in videos our proposed method is able to adapt to the videos and remove shadows effectively. The sensitivity of shadow detection changes slightly with different confidence levels used in example selection for classifier retraining and high confidence level usually yields better performance with less retraining iterations.
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So, Wai-ki. "Shadow identification in traffic video sequences." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B32045967.

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Singh, Salil Kishore. ""Emerging from shadows" : the puppeteer's art in Tolpava Koothu, shadow puppetry of southern India /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Kolady, Krishnan V. "Phigs based phong rendering emulation Software." Thesis, Virginia Tech, 1990. http://hdl.handle.net/10919/41975.

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<p>Discussed is the design, implementation and use of a graPHIGS (IBM PHIGS) based sub-system that provides for shading of graphical models using the Phong shading technique. The ISO standard for 3D graphics, PHIGS, provides for wireframe display and manipulation of graphics data. PHIGS + implementations, while providing this capability, will not be widely available for some time. This capability will provide a generally useful extension to PHIGS for use by PHIGS based applications. The software provides the applications programmer with a graPHIGS based instruction set which acts as a superset to the current graPHIGS calls. Using the provided functions the user can quickly do hidden surface elimination and Phong rendering of 3-D models in 3-D views. The program contains approximately 15,000 lines of C code and uses graPHIGS inquiries and calls for information retrieval and datastructure maintenance.</p><br>Master of Science
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Mourning, Chad L. "A Highly Parallelized Approach to Silhouette Edge Detection for Shadow Volumes in Three Dimensional Triangular Meshes." Ohio University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1226787177.

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So, Wai-ki, and 蘇慧琪. "Shadow identification in traffic video sequences." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B32045967.

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Tóth, Michal. "Stínové techniky na dnešním hardware a jejich porovnání." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-236117.

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This master's project focuses on basic techniques of creating shadows in 3D computer graphics. Two basic techniques are compared. Those are shadow maps and shadow volumes. Another technique combining previouse two is proposed.
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Books on the topic "Shadoks"

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Dupuy, Jean-Paul. Abécédaire raisonné des Shadoks. Nicolas Philippe, 2003.

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Binger, Lothar. Schattenwelten: Zur Kulturgeschichte des Schattens ; [zur Ausstellung "Schattenwelten", Galerie im Körnerpark, 25.9.-30.12.2001]. Kramer, 2001.

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Simon, Seymour. Shadow magic. Lothrop, Lee & Shepard Books, 1985.

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Me and my shadow. Rourke Pub., 2006.

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Gregoire, Maryellen. We all have shadows. Capstone Press, 2012.

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Casati, Roberto. The shadow club: The greatest mystery in the universe--shadows--and the thinkers who unlocked their secrets. Knopf, 2003.

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Me and my shadow. Scholastic Inc., 1990.

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Bulla, Clyde Robert. What makes a shadow? HarperCollins, 1994.

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Walter, Mildred Pitts. Darkness. Simon & Schuster Books forYoung Readers, 1995.

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Me and my shadow. Scholastic Inc., 1990.

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Book chapters on the topic "Shadoks"

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Elkadi, Hisham, and Sura Al-Maiyah. "History of light, shades, and shadows." In Daylight, Design and Place-Making. Routledge, 2020. http://dx.doi.org/10.4324/9781315575896-1.

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Turchyn, Pavlo. "Fast Soft Shadows via Adaptive Shadow Maps." In GPU Pro 360. A K Peters/CRC Press, 2018. http://dx.doi.org/10.1201/9781351208352-6.

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Magnenat-Thalmann, Nadia, and Daniel Thalmann. "Shadows." In Image Synthesis. Springer Japan, 1987. http://dx.doi.org/10.1007/978-4-431-68060-4_9.

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Coughlan, David. "Shadows." In Ghost Writing in Contemporary American Fiction. Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-41024-5_4.

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Attebery, Craig. "Shadows." In The Complete Guide To Perspective Drawing. Routledge, 2018. http://dx.doi.org/10.4324/9781315443560-23.

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Cassavetes, John. "Shadows." In 100 American Independent Films. British Film Institute, 2009. http://dx.doi.org/10.1007/978-1-349-92349-6_76.

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Stephenson, Ian. "Shadows." In Essential Series. Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-3800-6_14.

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Leonard, Philip. "‘In the Shadow of Shadows’: Spivak, Misreading, the Native Informant." In Nationality Between Poststructuralism and Postcolonial Theory. Palgrave Macmillan UK, 2005. http://dx.doi.org/10.1057/9780230503854_5.

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Fajkus, Matt, and Dason Whitsett. "Received Shadows." In Architectural Science and the Sun. Routledge, 2018. http://dx.doi.org/10.4324/9781315708041-6.

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Fajkus, Matt, and Dason Whitsett. "Creating Shadows." In Architectural Science and the Sun. Routledge, 2018. http://dx.doi.org/10.4324/9781315708041-8.

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Conference papers on the topic "Shadoks"

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Liu, Nan, and Ming-Yong Pang. "A Survey of Shadow Rendering Algorithms: Projection Shadows and Shadow Volumes." In 2009 Second International Workshop on Computer Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/wcse.2009.716.

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Burley, Brent. "Shadow map bias cone and improved soft shadows." In ACM SIGGRAPH 2006 Courses. ACM Press, 2006. http://dx.doi.org/10.1145/1185657.1185821.

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Porikli, F., and J. Thornton. "Shadow flow: a recursive method to learn moving cast shadows." In Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1. IEEE, 2005. http://dx.doi.org/10.1109/iccv.2005.217.

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Grant, Ian A. "Surfaces and Shadows: Digital Shadow Puppetry and Augmented Silhouette Performance." In Electronic Visualisation and the Arts (EVA 2013). BCS Learning & Development, 2013. http://dx.doi.org/10.14236/ewic/eva2013.46.

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A. de Sá, Bárbara, Tiago Dezuo, and Douglas Ohf. "SHADOW MODELLING ALGORITHM FOR PHOTOVOLTAIC SYSTEMS ANALYSIS AND SIMULATION." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1102.

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In this paper, an algorithm capable of modelling shadows from nearby obstructions onto photovoltaic arrays is proposed. The algorithm developed is based on the calculation of the solar position in the sky for any given instant in order to obtain the shadow projection for any object point. The convexity properties of objects and their shadows are used to allow a precise three-dimensional solution with reduced computational power without the need to consider a vast grid of points. The idea is extended to provide the shading patterns for a desired range of time and to calculate the eciency rate of the irradiation power incident on the array in comparison to the non-shadowed case. The algorithm has interesting applications, such as optimizing array positioning and orientation, evaluating the impact of new obstructions on pre-existing array installations, allowing precise and practical data for control strategies and MPPT techniques for partially shaded systems, calculating more realistically constrained payback scenarios and nding the optimal PV array interconnection. The results obtained are illustrated by a numerical example, in which the eects of a nearby building in the irradiation received by a photovoltaic array throughout the year is analyzed.
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Manabe, Shinnosuke, Sei Ikeda, Asako Kimura, and Fumihisa Shibata. "Shadow Inducers: Inconspicuous Highlights for Casting Virtual Shadows on OST-HMOs." In 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). IEEE, 2019. http://dx.doi.org/10.1109/vr.2019.8798049.

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Ouivirach, Kan, and Matthew N. Dailey. "Extracting the object from the shadows: Maximum likelihood object/shadow discrimination." In 2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2013). IEEE, 2013. http://dx.doi.org/10.1109/ecticon.2013.6559543.

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Chrysanthou, Yiorgos, and Mel Slater. "Shadow volume BSP trees for computation of shadows in dynamic scenes." In the 1995 symposium. ACM Press, 1995. http://dx.doi.org/10.1145/199404.199412.

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Reiso, Marit, and Geir Moe. "Blade Response on Offshore Bottom Fixed Wind Turbines With Down-Wind Rotors." In ASME 2010 29th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/omae2010-20586.

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Offshore wind turbines are becoming more common due to the scarcity of suitable land sites. By going offshore, maintenance costs become one of the driving expenses. Hence more reliable components should be implemented on offshore wind turbines. The down-wind rotor configuration does not require as powerful yaw drive as the upwind rotor configuration to align with the wind direction. Thus the yaw system can be simpler with fewer components that can fail and require maintenance. This paper presents numeric simulation studies of how the tower shadow impacts the blades when they pass through the wake behind the tower. The work concentrates on bottom-fixed offshore wind turbines designed for the specifications of the NREL offshore 5-MW baseline wind turbine. The blade response has been compared for a full truss tower and a conventional tubular tower to show how the different tower shadows influence the blades. The blades on the more transparent truss tower experience less root flapwise moment fluctuations due to the weaker tower shadow. The simulations were performed by means of GH Bladed, version 3.82.
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Harris, Jeff R., Michael McPhail, Christine Truong, and Arnold Fontaine. "Stereoscopic Particle Shadow Velocimetry." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-88013.

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Stereoscopic particle image velocimetry (SPIV) is a variant of particle image velocimetry (PIV) that allows for the measurement of three components of velocity along a plane in a flow field. In PIV, particles in the flow field are tracked by reflecting laser light from tracer particles into two angled cameras, allowing for the velocity field to be determined. Particle shadow velocimetry (PSV) is an inherently less expensive velocity measurement method since the method images shadows cast by particles from an LED backlight instead of scattered light from a laser. Previous studies have shown that PSV is an adequate substitute for PIV for many two-dimensional, two-component velocimetry measurements. In this work, the viability of the two-dimensional, three-component stereoscopic particle shadow velocimetry (SPSV) is demonstrated by using SPSV to examine a simple jet flow. Results obtained using SPIV are also used to provide benchmark comparison for SPSV measurements. Results show that in-plane and out-of-plane velocities measured using SPSV are comparable to those measured using SPIV.
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Reports on the topic "Shadoks"

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Cuberes, David, Klaus Desmet, and Jordan Rappaport. Urban Growth Shadows. National Bureau of Economic Research, 2021. http://dx.doi.org/10.3386/w28476.

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Kruger, Hans. Electromagnetic Pulse in Wide-Angle Gamma Shadows. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1644751.

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Parsons. Shadow Boxing. Iowa State University, Digital Repository, 2015. http://dx.doi.org/10.31274/itaa_proceedings-180814-1224.

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Koijen, Ralph S. J., and Motohiro Yogo. Shadow Insurance. National Bureau of Economic Research, 2013. http://dx.doi.org/10.3386/w19568.

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Johnson, Kevin M. Killing in the Shadows, and Other Special Operations. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada441566.

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Andolfatto, David, and Ed Nosal. Shadow Bank Runs. Federal Reserve Bank of St. Louis, 2020. http://dx.doi.org/10.20955/wp.2020.012.

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Ordonez, Guillermo. Sustainable Shadow Banking. National Bureau of Economic Research, 2013. http://dx.doi.org/10.3386/w19022.

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Brown, Jennifer, and Dylan Minor. Selecting the Best? Spillover and Shadows in Elimination Tournaments. National Bureau of Economic Research, 2011. http://dx.doi.org/10.3386/w17639.

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Edwards, Rem B., and III. Allies in the Shadows: Why We Need Operational Deception. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada426011.

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Jhabvala, Renana, and Jane Tate. Out of the shadows: Homebased workers organize for international recognition. Population Council, 1996. http://dx.doi.org/10.31899/pgy4.1022.

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