Bibliographies thématiques / Geometrical constraints

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Littérature scientifique sur le sujet « Geometrical constraints »

Auteur : Grafiati
Publié le 4 juin 2021
Mis à jour le 9 février 2022

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Articles de revues sur le sujet "Geometrical constraints"

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TROMBETTONI, GILLES, and MARTA WILCZKOWIAK. "GPDOF — A FAST ALGORITHM TO DECOMPOSE UNDER-CONSTRAINED GEOMETRIC CONSTRAINT SYSTEMS: APPLICATION TO 3D MODELING." International Journal of Computational Geometry & Applications 16, no. 05n06 (December 2006): 479–511. http://dx.doi.org/10.1142/s0218195906002154.

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Our approach exploits a general-purpose decomposition algorithm, called GPDOF, and a dictionary of very efficient solving procedures, called r-methods, based on theorems of geometry. GPDOF decomposes an equation system into a sequence of small subsystems solved by r-methods, and produces a set of input parameters.1. Recursive assembly methods (decomposition-recombination), maximum matching based algorithms, and other famous propagation schema are not well-suited or cannot be easily extended to tackle geometric constraint systems that are under-constrained. In this paper, we show experimentally
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Suzuki, H., T. Ito, H. Ando, K. Kikkawa, and F. Kimura. "Solving regional constraints in components layout design based on geometric gadgets." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 11, no. 4 (September 1997): 343–53. http://dx.doi.org/10.1017/s0890060400003267.

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AbstractThis paper proposes a new method for dealing with geometrical layout constraints. Geometrical layout constraints are classified into three classes of dimensional, regional, and interference constraints. Dimensional constraints are handled by using an existing methodology. A method is proposed to translate the other two classes of constraints into dimensional constraints. Thus, it is possible to uniformly deal with all of those geometrical layout constraints. The method is twofold. First, it converts regional, interference constraints into a set of simple inequalities. Then each inequal
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Hördt, Andreas, Katharina Bairlein, Matthias Bücker, and Hermann Stebner. "Geometrical constraints for membrane polarization." Near Surface Geophysics 15, no. 6 (October 1, 2017): 579–92. http://dx.doi.org/10.3997/1873-0604.2017053.

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Pauly, Daniel. "Geometrical constraints on body size." Trends in Ecology & Evolution 12, no. 11 (November 1997): 442. http://dx.doi.org/10.1016/s0169-5347(97)85745-x.

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Evans, A. K. D., I. K. Wehus, Ø. Grøn, and Ø. Elgarøy. "Geometrical constraints on dark energy." Astronomy & Astrophysics 430, no. 2 (January 20, 2005): 399–410. http://dx.doi.org/10.1051/0004-6361:20041590.

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de Luis-García, Rodrigo, Carl-Fredrik Westin, and Carlos Alberola-López. "Geometrical constraints for robust tractography selection." NeuroImage 81 (November 2013): 26–48. http://dx.doi.org/10.1016/j.neuroimage.2013.04.096.

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Maia, M. D., and G. S. Silva. "Geometrical constraints on the cosmological constant." Physical Review D 50, no. 12 (December 15, 1994): 7233–38. http://dx.doi.org/10.1103/physrevd.50.7233.

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Peng, Heping, and Zhuoqun Peng. "Concurrent design and process tolerances determination in consideration of geometrical tolerances." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 19-20 (August 1, 2019): 6727–40. http://dx.doi.org/10.1177/0954406219866866.

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Concurrent design and process tolerances determination may ensure the manufacturability of products, improve the design efficiency, lower the overall production cost, reduce the quantity of unqualified products, and shorten product development cycle. Yet most of the current concurrent tolerancing models focus on the concurrent design of dimensional tolerances without taking into consideration geometrical tolerances. The objective of this study is to extend the concurrent tolerancing model to consider geometrical tolerance requirements. Firstly, the geometrical tolerances are either converted i
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SATO, Yuki, Takayuki YAMADA, Kazuhiro IZUI, and Shinji NISHIWAKI. "Topology optimization with geometrical constraints based on fictitious physical models (The geometrical constraint for molding and milling)." Transactions of the JSME (in Japanese) 83, no. 851 (2017): 17–00081. http://dx.doi.org/10.1299/transjsme.17-00081.

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Dong, Yan, and Mei Li. "The Geometrical Feature Recognition Method of Part Drawing." Advanced Materials Research 415-417 (December 2011): 523–26. http://dx.doi.org/10.4028/www.scientific.net/amr.415-417.523.

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This paper put forward a geometry feature recognition method of part drawing based on graph matching. Describe the constraints structure of geometric feature in geometric elements and those constraint relationships. Match sub-graph in contour closure graphics and those combination. Using linear symbol notation of chemical compounds in chemical database for reference, encode to constraint structure of geometry graphics, establish recognition mechanism of geometric characteristics by structure codes. Taking the fine-tune screw and fork parts for example, this method has been proved to be effecti
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Thèses sur le sujet "Geometrical constraints"

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Nestoras, Konstantinos Nav E. Massachusetts Institute of Technology. "A tool to create hydrodynamically optimized hull-forms with geometrical constraints from internal arrangements." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81587.

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Thesis (Nav. E.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 145-146).<br>Internal arrangements and bulky equipment like machinery have been treated for many years as a secondary aspect of the ship design. Traditionally, in the design process, the centerpiece of the effort is the hull and its hydrodynamic performance. Once the hull of a ship has been selected, all the other systems, like propulsi
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Nesselroth, Susan Marian. "I Substituent effects on carbanion photophysics An application of the energy gap law : II Solvent and geometrical constraints on excited state proton transfer." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/30331.

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Wang, Bihao. "Geometrical and contextual scene analysis for object detection and tracking in intelligent vehicles." Thesis, Compiègne, 2015. http://www.theses.fr/2015COMP2197/document.

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Pour les véhicules intelligents autonomes ou semi-autonomes, la perception constitue la première tâche fondamentale à accomplir avant la décision et l’action. Grâce à l’analyse des données vidéo, Lidar et radar, elle fournit une représentation spécifique de l’environnement et de son état, à travers l’extraction de propriétés clés issues des données des capteurs. Comparé à d’autres modalités de perception telles que le GPS, les capteurs inertiels ou les capteurs de distance (Lidar, radar, ultrasons), les caméras offrent la plus grande quantité d’informations. Grâce à leur polyvalence, les camér
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Rohmer, Damien. "Géométrie active pour l'animation et la modélisation." Phd thesis, Université de Grenoble, 2011. http://tel.archives-ouvertes.fr/tel-00635079.

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Engendrer en temps-réel des déformations visuellement réalistes d'objets 3D, comme par exemple le corps et les vêtements de personnages, est un point crucial en animation, que ce pour des applications au jeu vidéo ou à la production cinématographique. Les méthodes de déformations géométriques actuelles rapides telles que le "skinning" ou l'animation physique à basse résolution ne capturent cependant pas certains comportements naturels essentiels. En particulier les déformations à volume constant du corps, le gonflement des muscles pour un personnage, ou la génération de plis sur ses vêtements
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Seth, Abhishek. "Combining physical constraints with geometric constraint-based modeling for virtual assembly." [Ames, Iowa : Iowa State University], 2007.

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Lie, Chin Cheong Patrick. "Geometrically constrained matching schemes." Thesis, McGill University, 1992. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=39316.

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We present an effective method for solving different types of noisy pattern matching problems in Euclidean space. The matching is performed in either a least-squares or a mixed-norm sense under the constraint that a transformation matrix $ Theta$ is restricted to belong to the orthogonal group. Matching problems of this type can be recast as function optimization problems which can be solved by representing the orthogonal group to which $ Theta$ belongs as a Lie group and then investigating the gradient vector field associated with the function to be optimized. The projection of the gradient f
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Baltsavias, Emmanuel P. Baltsavias Emmanuel P. Baltsavias Emmanuel P. "Multiphoto geometrically constrained matching /." Zürich, 1991. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=9561.

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Coulter, Stewart. "Representation of geometric constraints in parametric synthesis." Thesis, Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/17982.

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Phipps, Richard L. "Some Geometric Constraints on Ring-Width Trend." Tree-Ring Society, 2005. http://hdl.handle.net/10150/262639.

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Simulations of tree rings from trees of undisturbed forest sites are used to describe natural, long-term width trends. Ring-width trends of canopy-sized white oak are simulated from regressions of BAI (ring area) data of real trees. Examples are given of a tree from a typical re-growth forest in Illinois and of a more slowly growing tree from an old-growth forest in Kentucky. The long-term width trend was simulated as being toward constant ring width regardless of growth rate of the tree. Conditions by which either increasing or decreasing ring-width trends could be simulated from the same lin
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Ma'ani-Hessari, Nason J. "Design of quadruplex DNA through geometric constraints." Thesis, University of Ulster, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.551558.

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This thesis is concerned with the rational design of a group of DNA higher order architectures known as quadruplex DNA. Quadruplex DNA is comprised of a stem of stacking guanine tetrads linked by loops comprised of single stranded DNA. Due to the different combinations of loop types possible, it has great structural diversity and has potential nanotechnological and biological applications. Currently, only a few loop combinations, or topologies are known. Those that have been determined experimentally were not explicitly designed. Using a geometric formalism, the sum of currently available know
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Livres sur le sujet "Geometrical constraints"

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International Workshop on Shock Wave Focusing Phenomena in Combustible Mixtures: Ignition and Transition to Detonation of Reactive Media under Geometrical Constraints (1998 Aachen, Germany). Proceedings of the International Workshop on Shock Wave Focusing Phenomena in Combustible Mixtures: Ignition and Transition to Detonation of Reactive Media under Geometrical Constraints, December 15-16, 1998. Aachen: Shaker, 2000.

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International Workshop on Shock Wave Focusing Phenomena in Combustible Mixtures (1998 Aachen, Germany). Proceedings of the International Workshop on Shock Wave Focusing Phenomena in Combustible Mixtures: Ignition and transition to detonation of reactive media under geometrical constraints : December 15 to 16, 1998. Aachen, Germany: Shock Wave Laboratory, 2000.

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Govaerts, Jan. Hamiltonian quantisation and constrained dynamics. Leuven (Belgium): Leuven University Press, 1991.

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Mann, Peter. Constrained Hamiltonian Dynamics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198822370.003.0021.

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This chapter focuses on autonomous geometrical mechanics, using the language of symplectic geometry. It discusses manifolds (including Kähler manifolds, Riemannian manifolds and Poisson manifolds), tangent bundles, cotangent bundles, vector fields, the Poincaré–Cartan 1-form and Darboux’s theorem. It covers symplectic transforms, the Marsden–Weinstein symplectic quotient, presymplectic and symplectic 2-forms, almost symplectic structures, symplectic leaves and foliation. It also discusses contact structures, musical isomorphisms and Arnold’s theorem, as well as integral invariants, Nambu struc
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Succi, Sauro. Out of Legoland: Geoflexible Lattice Boltzmann Equations. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199592357.003.0023.

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The LBEs discussed to this point lag behind “best in class” Computational Fluid Dynamics (CFD) methods for the simulation of fluid flows in realistically complicated geometries, such as those presented by most industrial devices. This traces back to the constraint of working along the light-cones of a uniform spacetime. Various methods have been proposed to remedy this unsatisfactory state of affairs. Among others, a natural strategy is to acquire geometrical flexibility from well-established techniques which can afford it, namely Finite Volumes (FV), Finite Differences (FD) and Finite Element
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Andersson, Nils. Gravitational-Wave Astronomy. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198568032.001.0001.

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This book provides an introduction to gravitational-wave astronomy and a survey of the physics required to understand recent breakthrough discoveries and the potential of future experiments. The material is aimed at advanced undergraduates or postgraduate students. It works as an introduction to the relevant issues and brings the reader to the level where it connects with current research. The book provides interested astronomers with an understanding of this new window to the Universe, including a relatively self-contained summary of Einstein’s geometric theory of gravity. It introduces gravi
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Chapitres de livres sur le sujet "Geometrical constraints"

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Helwani, Karim. "Geometrical Constraints." In T-Labs Series in Telecommunication Services, 67–95. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08954-6_6.

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Rozvany, G. I. N., and M. Zhou. "COC Methods for Additional Geometrical Constraints." In Shape and Layout Optimization of Structural Systems and Optimality Criteria Methods, 41–56. Vienna: Springer Vienna, 1992. http://dx.doi.org/10.1007/978-3-7091-2788-9_4.

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Nigam, Aditya, and Phalguni Gupta. "Palmprint Recognition Using Geometrical and Statistical Constraints." In Advances in Intelligent Systems and Computing, 1303–15. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1602-5_136.

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Giorgi, G., P. J. G. Teunissen, S. Verhagen, and P. J. Buist. "Integer Ambiguity Resolution with Nonlinear Geometrical Constraints." In International Association of Geodesy Symposia, 39–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22078-4_6.

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Cooper, David H., Christopher J. Taylor, Jim Graham, and Tim F. Cootes. "Locating Overlapping Flexible Shapes Using Geometrical Constraints." In BMVC91, 185–92. London: Springer London, 1991. http://dx.doi.org/10.1007/978-1-4471-1921-0_24.

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Liégeois, Alain. "Structure of robots: geometrical and mechanical constraints." In Performance and Computer-Aided Design, 81–135. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-6852-6_4.

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Schöllhorn, R. "Geometrical and Electronic Constraints in Redox Intercalation Systems." In Chemical Reactions in Organic and Inorganic Constrained Systems, 323–40. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4582-1_25.

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Bank, Bernd, Teresa Krick, Reinhard Mandel, and Pablo Solernó. "A geometrical bound for integer programming with polynomial constraints." In Fundamentals of Computation Theory, 121–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/3-540-54458-5_56.

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Higashi, Masatake, Hiroki Senga, Atsuhide Nakamura, and Mamoru Hosaka. "Parametric Design Method Based on Topological and Geometrical Constraints." In From Geometric Modeling to Shape Modeling, 165–80. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-0-387-35495-8_13.

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Damme, H., P. Levitz, and L. Gatineau. "Energetical and Geometrical Constraints on Adsorption and Reaction Kinetics on Clay Surfaces." In Chemical Reactions in Organic and Inorganic Constrained Systems, 283–304. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4582-1_22.

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Actes de conférences sur le sujet "Geometrical constraints"

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"GEOMETRICAL CONSTRAINTS FOR LIGAND POSITIONING." In International Conference on Bioinformatics Models, Methods and Algorithms. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003166002040209.

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Lazkoz, Ruth, Mauricio Carbajal, Luis Manuel Montaño, Oscar Rosas-Ortiz, Sergio A. Tomas Velazquez, and Omar Miranda. "Geometrical Constraints on Dark Energy Models." In Advanced Summer School in Physics 2007. AIP, 2007. http://dx.doi.org/10.1063/1.2825127.

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Cooper, David H., Christopher J. Taylor, Jim Graham, and Tim F. Cootes. "Locating Overlapping Flexible Shapes Using Geometrical Constraints." In British Machine Vision Conference 1991. Springer-Verlag London Limited, 1991. http://dx.doi.org/10.5244/c.5.24.

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Morgera, S. D. "On noisy pattern matching under geometrical constraints." In [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1992. http://dx.doi.org/10.1109/icassp.1992.226226.

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Zhang, Hanchao, and Jinhua Xu. "Supervised sparse coding with local geometrical constraints." In ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015. http://dx.doi.org/10.1109/icassp.2015.7178362.

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Gruen, Armin W., and Emmanuel P. Baltsavias. "Adaptive Least Squares Correlation With Geometrical Constraints." In 1985 International Technical Symposium/Europe, edited by Olivier D. Faugeras and Robert B. Kelley. SPIE, 1986. http://dx.doi.org/10.1117/12.952246.

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Plateaux, Régis, Olivia Penas, Faïda Mhenni, Jean-Yves Choley, and Alain Riviere. "Introduction of the 3D Geometrical Constraints in Modelica." In The 7 International Modelica Conference, Como, Italy. Linköping University Electronic Press, 2009. http://dx.doi.org/10.3384/ecp09430038.

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Zhang, Wei, Xiaochun Cao, Zhiyong Feng, Jiawan Zhang, and Ping Wang. "Detecting photographic composites using two-view geometrical constraints." In 2009 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2009. http://dx.doi.org/10.1109/icme.2009.5202685.

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Hagita, Katsumi, and Hiroshi Takano. "Dynamics of a polymer chain under geometrical constraints." In The 8th tohwa university international symposium on slow dynamics in complex systems. AIP, 1999. http://dx.doi.org/10.1063/1.58567.

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Le, Van-Hung, Hai Vu, Thuy Thi Nguyen, Thi-Lan Le, Thi-Thanh-Hai Tran, Michiel Vlaminck, Wilfried Philips, and Peter Veelaert. "3D Object Finding Using Geometrical Constraints on Depth Images." In 2015 Seventh International Conference on Knowledge and Systems Engineering (KSE). IEEE, 2015. http://dx.doi.org/10.1109/kse.2015.17.

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Rapports d'organisations sur le sujet "Geometrical constraints"

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Toroker, Z., V. M. Malkin, G. M. Fraiman, A. A. Balakin, and N. J. Fisch. Geometrical Constraints on Plasma Couplers for Raman Compression. Office of Scientific and Technical Information (OSTI), July 2012. http://dx.doi.org/10.2172/1056829.

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Ogawa, Naohisa. Diffusion Under Geometrical Constraint. Jgsp, 2014. http://dx.doi.org/10.7546/jgsp-34-2014-35-49.

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Ogawa, Naohisa. Diffusion Under Geometrical Constraint. GIQ, 2014. http://dx.doi.org/10.7546/giq-15-2014-204-217.

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Theiler, J., and B. G. Henderson. A geometrical constraint on shadowing in rough surfaces. Office of Scientific and Technical Information (OSTI), October 1997. http://dx.doi.org/10.2172/532451.

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Parikh, Jo A., and Anne Werkheiser. Incorporating Geometric Constraints into Rule-Based Systems Using Nonlinear Optimization. Fort Belvoir, VA: Defense Technical Information Center, January 1994. http://dx.doi.org/10.21236/ada275093.

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GENERAL ELECTRIC CO SCHENECTADY NY. Representation and Recognition with Invariants and Geometric Constraint Models. Fort Belvoir, VA: Defense Technical Information Center, November 1992. http://dx.doi.org/10.21236/ada263235.

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Mundy, Joseph L. Representation and Recognition with Algebraic Invariants and Geometric Constraint Models. Fort Belvoir, VA: Defense Technical Information Center, December 1993. http://dx.doi.org/10.21236/ada282926.

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Mundy, Joseph L. Representation and Recognition with Algebraic Invariants and Geometric Constraint Models. Fort Belvoir, VA: Defense Technical Information Center, September 1993. http://dx.doi.org/10.21236/ada271395.

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Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, May 2021. http://dx.doi.org/10.17760/d20410114.

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Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-c
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