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Статті в журналах з теми "Kinetic data structure"
Tabak, H. H., C. Gao, S. Desai, and R. Govind. "Development of Predictive Structure-Biodegradation Relationship Models with the Use of Respirometrically Generated Biokinetic Data." Water Science and Technology 26, no. 3-4 (August 1, 1992): 763–72. http://dx.doi.org/10.2166/wst.1992.0457.
Повний текст джерелаKönig, Matthias. "cy3sabiork: A Cytoscape app for visualizing kinetic data from SABIO-RK." F1000Research 5 (July 18, 2016): 1736. http://dx.doi.org/10.12688/f1000research.9211.1.
Повний текст джерелаOnodera, Andrea N., Wilson P. Gavião Neto, Maria Isabel Roveri, Wagner R. Oliveira, and Isabel CN Sacco. "Immediate effects of EVA midsole resilience and upper shoe structure on running biomechanics: a machine learning approach." PeerJ 5 (February 28, 2017): e3026. http://dx.doi.org/10.7717/peerj.3026.
Повний текст джерелаRoodt, Andreas. "Relevance of X-ray structure data to kinetic studies." Acta Crystallographica Section A Foundations of Crystallography 66, a1 (August 29, 2010): s6. http://dx.doi.org/10.1107/s0108767310099861.
Повний текст джерелаKockara, S., M. Mete, V. Yip, B. Lee, and K. Aydin. "A soft kinetic data structure for lesion border detection." Bioinformatics 26, no. 12 (June 6, 2010): i21—i28. http://dx.doi.org/10.1093/bioinformatics/btq178.
Повний текст джерелаAftandiliants, Ye G. "Modelling of structure forming in structural steels." Naukovij žurnal «Tehnìka ta energetika» 11, no. 4 (September 10, 2020): 13–22. http://dx.doi.org/10.31548/machenergy2020.04.013.
Повний текст джерелаKhurana, Puneet, Lisa McWilliams, Jonathan Wingfield, Derek Barratt, and Bharath Srinivasan. "A Novel High-Throughput FLIPR Tetra–Based Method for Capturing Highly Confluent Kinetic Data for Structure–Kinetic Relationship Guided Early Drug Discovery." SLAS DISCOVERY: Advancing the Science of Drug Discovery 26, no. 5 (March 30, 2021): 684–97. http://dx.doi.org/10.1177/24725552211000676.
Повний текст джерелаAbolfazl Mostafavi, Mir, and Christopher Gold. "A global kinetic spatial data structure for a marine simulation." International Journal of Geographical Information Science 18, no. 3 (April 2004): 211–27. http://dx.doi.org/10.1080/13658810310001620942.
Повний текст джерелаZheng, Xu-Li, Dong-Hui Quan, Hai-Long Zhang, Xiao-Hu Li, Qiang Chang, and Olli Sipilä. "A new data structure for accelerating kinetic Monte Carlo method." Research in Astronomy and Astrophysics 19, no. 12 (December 2019): 176. http://dx.doi.org/10.1088/1674-4527/19/12/176.
Повний текст джерелаLITTLE, David I., Peter C. POAT, and Ian G. GILES. "Residual Analysis in Determining the Error Structure in Enzyme Kinetic Data." European Journal of Biochemistry 124, no. 3 (March 3, 2005): 499–505. http://dx.doi.org/10.1111/j.1432-1033.1982.tb06621.x.
Повний текст джерелаДисертації з теми "Kinetic data structure"
Hashemi, Beni Leila. "Development of a 3D Kinetic Data Structure adapted for a 3D Spatial Dynamic Field Simulation." Thesis, Université Laval, 2009. http://www.theses.ulaval.ca/2009/26532/26532.pdf.
Повний текст джерелаGeographic information systems (GIS) are widely used for representation, management and analysis of spatial data in many disciplines including geosciences, agriculture, forestry, metrology and oceanography etc. In particular, geoscientists have increasingly used these tools for data integration and management purposes in many environmental applications ranging from water resources management to global warming study. Beyond these capabilities, geoscientists need to model and simulate 3D dynamic spatial fields and readily integrate those results with other relevant spatial information in order to have a better understating of the environment. However, GIS are very limited for modeling and simulation of spatial fields which are mostly three dimensional and dynamic. These limitations are mainly related to the existing GIS spatial data structures which are 2D and static and are not designed to address the 3D and dynamic aspects of continuous fields. Hence, the main objective of this research work is to improve the current GIS capabilities for modeling and simulation of 3D spatial dynamic fields by development of a 3D kinetic data structure. Based on our literature review, 3D dynamic Delaunay tetrahedralization (DT) and its dual, 3D Voronoi diagram (VD), have many interesting potentials for handling the 3D and dynamic nature of those kind of phenomena. However, because of the special configurations of datasets in geosciences applications, the DT of such data is often inadequate for numerical integration and simulation of dynamic field. For example, in a hydrogeological simulation, the data form highly irregular set of points aligned in vertical direction and very sparse horizontally which may result in very large, small or thin tessellation elements. The size and shape of tessellation elements have an important impact on the accuracy of the results of the simulation of a field as well as the related computational costs. Therefore, in the first step of the research work, we develop an adaptive refinement method based on 3D dynamic Delaunay data structure, and construct a 3D adaptive tessellation for the representation and simulation of a dynamic field. This tessellation is conformed to represent the complexity of fields, considering the discontinuities and the shape and size criteria. In order to deal with the dynamic behavior of 3D spatial fields in a moving framework within GIS, in the second step, we extend 3D dynamic VD to 3D kinetic VD in the sense of being capable of keeping update the 3D spatial tessellation during a dynamic simulation process. Then, we show how such a spatial data structure can support moving elements within the tessellation and their interactions. The proposed kinetic data structure provides an elegant way for the management of the connectivity changes between moving elements within the tessellation. In addition, the problems resulting from using a fixed time step, such as overshoots and undetected collisions, are addressed by providing very flexible mechanisms to detect and manage different changes (events) in the spatial tessellation by 3D DT. Finally, we study the potentials of the kinetic 3D spatial data structure for the simulation of a dynamic field in 3D space. For this purpose, we describe in detail different steps for the adaption of this data structure from its discretization for a 3D continuous field to its numerical integration based on an event driven method, and show how the tessellation moves and the topology, connectivity, and physical parameters of the tessellation cells are locally updated following any event in the tessellation. For the validation of the proposed spatial data structure itself and its potentials for the simulation of a dynamic field, three case studies are presented in the thesis. According to our observations during the simulation process, the data structure is maintained and the 3D spatial information is managed adequately. Furthermore, the results obtained from the experimentations are very satisfactory and are comparable with results obtained from other existing methods for the simulation of the same dynamic field. Finally, some of the limitations of the proposed approach related to the development of the 3D kinetic data structure itself and its adaptation for the representation and simulation of a 3D dynamic spatial field are discussed and some solutions are suggested for the improvement of the proposed approach.
Russel, Daniel. "Kinetic data structures in practice /." May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.
Повний текст джерелаYu, Mulin. "Reconstruction et correction de modèles urbains à l'aide de structures de données cinétiques." Thesis, Université Côte d'Azur, 2022. http://www.theses.fr/2022COAZ4077.
Повний текст джерелаCompact and accurate digital 3D models of buildings are commonly used by practitioners for the visualization of existing or imaginary environments, the physical simulations or the fabrication of urban objects. Generating such ready-to-use models is however a difficult problem. When created by designers, 3D models usually contain geometric errors whose automatic correction is a scientific challenge. When created from data measurements, typically laser scans or multiview images, the accuracy and complexity of the models produced by existing reconstruction algorithms often do not reach the requirements of the practitioners. In this thesis, I address this problem by proposing two algorithms: one for repairing the geometric errors contained in urban-specific formats of 3D models, and one for reconstructing compact and accurate models from input point clouds generated from laser scanning or multiview stereo imagery. The key component of these algorithms relies upon a space-partitioning data structure able to decompose the space into polyhedral cells in a natural and efficient manner. This data structure is used to both correct geometric errors by reassembling the facets of defect-laden 3D models, and reconstruct concise 3D models from point clouds with a quality that approaches those generated by Computer-Aided-Design interactive tools.My first contribution is an algorithm to repair different types of urban models. Prior work, which traditionally relies on local analysis and heuristic-based geometric operations on mesh data structures, is typically tailored-made for specific 3D formats and urban objects. We propose a more general method to process different types of urban models without tedious parameter tuning. The key idea lies on the construction of a kinetic data structure that decomposes the 3D space into polyhedra by extending the facets of the imperfect input model. Such a data structure allows us to re-build all the relations between the facets in an efficient and robust manner. Once built, the cells of the polyhedral partition are regrouped by semantic classes to reconstruct the corrected output model. I demonstrate the robustness and efficiency of the algorithm on a variety of real-world defect-laden models and show its competitiveness with respect to traditional mesh repairing techniques from both Building Information Modeling (BIM) and Geographic Information Systems (GIS) data.My second contribution is a reconstruction algorithm inspired by the Kinetic Shape Reconstruction method, that improves the later in different ways. In particular, I propose a data fitting technique for detecting planar primitives from unorganized 3D point clouds. Departing from an initial configuration, the technique refines both the continuous plane parameters and the discrete assignment of input points to them by seeking high fidelity, high simplicity and high completeness. The solution is found by an exploration mechanism guided by a multi-objective energy function. The transitions within the large solution space are handled by five geometric operators that create, remove and modify primitives. I demonstrate its potential, not on buildings only, but on a variety of scenes, from organic shapes to man-made objects
Ogaja, Clement Surveying & Spatial Information Systems Faculty of Engineering UNSW. "A framework in support of structural monitoring by real time kinematic GPS and multisensor data." Awarded by:University of New South Wales. School of Surveying and Spatial Information Systems, 2002. http://handle.unsw.edu.au/1959.4/18662.
Повний текст джерелаSteinmetz, Fabian. "Integration of data quality, kinetics and mechanistic modelling into toxicological assessment of cosmetic ingredients." Thesis, Liverpool John Moores University, 2016. http://researchonline.ljmu.ac.uk/4522/.
Повний текст джерелаBauchet, Jean-Philippe. "Structures de données cinétiques pour la modélisation géométrique d’environnements urbains." Thesis, Université Côte d'Azur (ComUE), 2019. http://www.theses.fr/2019AZUR4091.
Повний текст джерелаThe geometric modeling of urban objects from physical measurements, and their representation in an accurate, compact and efficient way, is an enduring problem in computer vision and computer graphics. In the literature, the geometric data structures at the interface between physical measurements and output models typically suffer from scalability issues, and fail to partition 2D and 3D bounding domains of complex scenes. In this thesis, we propose a new family of geometric data structures that rely on kinetic frameworks. More precisely, we compute partitions of bounding domains by detecting geometric shapes such as line-segments and planes, and extending these shapes until they collide with each other. This process results in light partitions, containing a low number of polygonal cells. We propose two geometric modeling pipelines, one for the vectorization of regions of interest in images, another for the reconstruction of concise polygonal meshes from point clouds. Both approaches exploit kinetic data structures to decompose efficiently either a 2D image domain or a 3D bounding domain into cells. Then, we extract objects from the partitions by optimizing a binary labelling of cells. Conducted on a wide range of data in terms of contents, complexity, sizes and acquisition characteristics, our experiments demonstrate the scalability and the versatility of our methods. We show the applicative potential of our method by applying our kinetic formulation to the problem of urban modeling from remote sensing data
Rahmati, Zahed. "Simple, Faster Kinetic Data Structures." Thesis, 2014. http://hdl.handle.net/1828/5627.
Повний текст джерелаGraduate
Τσιμά, Αλεξάνδρα. "Εφαρμογή των κινητικών δομών δεδομένων σε προβλήματα της υπολογιστικής γεωμετρίας". Thesis, 2006. http://nemertes.lis.upatras.gr/jspui/handle/10889/890.
Повний текст джерелаKinetic Data Structures (KDSs) are a new framework for designing and analyzing algorithms for geometrics objects (segments, polygons, disks etc.) in motion. Our goal is to maintain an attribute of a set of moving objects, for example the convex hull or the closest pair. The maintenance of the attribute is made through a set of conditions that guarantee the validity of the structure every moment. This set is changed with time due to the motion. The conditions are stored in a queue ordered chronologically. Every time the attribute is changed, we update the structure and the queue. The first chapter is an introduction to the KDSs. We mention basic notions and ideas of the KDSs, like: configuration function, certificates, critical events. Furthermore, we discuss their measure of performance. In the second chapter we deal with the Binary Space Partitions (BSPs), first in static and then in kinetic environment. Specifically, we present three algorithms for the maintenance of a BSP for a set of moving segments in the plane. According to the first known algorithm which was proposed for efficiently maintaining the BSP for a set of non-intersecting segments S in the plane using the philosophy of KDSs, we construct a BSP - considering that the segments are static - and then we maintain it as the segments move. The second algorithm is substantially an expansion of the first algorithm as it deals with the same problem, but for intersecting segments. The set of the certificates is changed as well as the set of critical events. The third algorithm uses a different technique for the construction and maintenance of the BSP for the set S. It is an improvement of the first algorithm. In the third chapter, we deal with the maintenance of the Voronoi diagram (VD) for a set of moving, probably intersecting disks in the plane and the maintenance of a compact Voronoi-like diagram for a set of non-intersecting, convex polygons in the plane (compact VD is dual to VD, except that its size is a function of the number of polygons and not of the number of vertices). In both cases, we solve the problem by maintaining the dual graph of VD, the Delaunay triangulation (DT ). The maintenance of the DT is based in the fact that a set of local conditions (InCircle tests) guarantee the total correctness of the structure and we are able to do only local changes. So, as the objects move, we have a valid DT every moment and consequently a valid VD. Finally, we mention a KDS for detecting collisions between two simple polygons in motion. In order to do so, we create a planar subdivision of the free space between the polygons, called External Relative Geodesic Triangulation, which certify their disjointness.
Ogaja, Clement. "A framework in support of structural monitoring by real time kinematic GPS and multisensor data /." 2002. http://www.library.unsw.edu.au/~thesis/adt-NUN/public/adt-NUN20020925.144123/index.html.
Повний текст джерелаBai, Chao-Ying. "Three dimensional seismic kinematic inversion with application to reconstruction of the velocity structure of Rabaul volcano / by Chao-ying Bai." 2004. http://hdl.handle.net/2440/22132.
Повний текст джерелаBibliography: leaves 215-230.
viii, 230 leaves : ill., maps ; 30 cm.
Title page, contents and abstract only. The complete thesis in print form is available from the University Library.
Thesis (Ph.D.)--University of Adelaide, School of Chemistry and Physics, Discipline of Physics, 2004
Книги з теми "Kinetic data structure"
Leonovich, Sergey, Evgeniy Shalyy, Elena Polonina, Elena Sadovskaya, Lev Kim, and Valentin Dorkin. Durability of port reinforced concrete structures (Far East and Sakhalin). ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1816638.
Повний текст джерелаT, Klein Michael, ed. Molecular modeling in heavy hydrocarbon conversions. Boca Raton: Taylor and Francis, 2005.
Знайти повний текст джерелаFrey, Perry A., and Adrian D. Hegeman. Enzymatic Reaction Mechanisms. Oxford University Press, 2007. http://dx.doi.org/10.1093/oso/9780195122589.001.0001.
Повний текст джерелаЧастини книг з теми "Kinetic data structure"
Speckmann, Bettina. "Kinetic Data Structures." In Encyclopedia of Algorithms, 1046–48. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-2864-4_191.
Повний текст джерелаSpeckmann, Bettina. "Kinetic Data Structures." In Encyclopedia of Algorithms, 417–19. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-30162-4_191.
Повний текст джерелаChen, Qing, Anders Engström, Lars Höglund, Henrik Strandlund, and Bo Sundman. "Thermo-Calc Program Interface and Their Applications - Direct Insertion of Thermodynamic and Kinetic Data into Modelling of Materials Processing, Structure and Property." In Materials Science Forum, 3145–48. Stafa: Trans Tech Publications Ltd., 2005. http://dx.doi.org/10.4028/0-87849-960-1.3145.
Повний текст джерелаWeller, René. "Kinetic Data Structures for Collision Detection." In Springer Series on Touch and Haptic Systems, 49–89. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01020-5_3.
Повний текст джерелаAbam, Mohammad Ali, Pankaj K. Agarwal, Mark de Berg, and Hai Yu. "Out-of-Order Event Processing in Kinetic Data Structures." In Lecture Notes in Computer Science, 624–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11841036_56.
Повний текст джерелаAlexandron, Giora, Haim Kaplan, and Micha Sharir. "Kinetic and Dynamic Data Structures for Convex Hulls and Upper Envelopes." In Lecture Notes in Computer Science, 269–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11534273_24.
Повний текст джерелаSTEIMER, C., H. DIEKER, D. WAMWANGI, W. WELNIC, R. DETEMPLE, and M. WUTTIG. "OPTICAL AND ELECTRONIC DATA STORAGE WITH PHASE CHANGE MATERIALS: FROM CRYSTAL STRUCTURES TO KINETICS." In Functional Properties of Nanostructured Materials, 449–54. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/1-4020-4594-8_42.
Повний текст джерелаOsadchy, S., V. Zozulya, and A. Timoshenko. "The Dynamic Characteristics of a Manipulator with Parallel Kinematic Structure Based on Experimental Data." In Advances in Intelligent Robotics and Collaborative Automation, 27–48. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003337119-2.
Повний текст джерелаRanzi, Gianluca, Graziano Leoni, Raymond Ian Gilbert, Luigino Dezi, and Riccardo Zandonini. "State-of-the-art review on the time-dependent behaviour of composite steel-concrete beams." In Time-dependent behaviour and design of composite steel-concrete structures, 61–82. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2021. http://dx.doi.org/10.2749/sed018.ch4.
Повний текст джерелаChen, Linlin, Lev Klebanov, Anthony Almudevar, Christoph Proschel, and Andrei Yakovlev. "A Study of the Correlation Structure of Microarray Gene Expression Data Based on Mechanistic Modeling of Cell Population Kinetics." In Statistical Modeling for Biological Systems, 47–61. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34675-1_3.
Повний текст джерелаТези доповідей конференцій з теми "Kinetic data structure"
Badashian, Ali Sajedi, and Mohammad Reza Razzazi. "Kinetic Convex Hull Algorithm Using Spiral Kinetic Data Structure." In 2007 International Conference on Computational Science and its Applications (ICCSA 2007). IEEE, 2007. http://dx.doi.org/10.1109/iccsa.2007.72.
Повний текст джерелаMostafavi, Mir Abolfazl, Leila Hashemi Beni, and Marina Gavrilova. "3D Dynamic Scene Surveillance and Management Using a 3D Kinetic Spatial Data Structure." In Web Services. IEEE, 2009. http://dx.doi.org/10.1109/geows.2009.15.
Повний текст джерелаKumahata, Kiyoshi, Masahiro Watanabe, and Teruo Matsuzawa. "Fluid-Structure Interaction Simulation for Blood Vessel Using 3D Voxel Data Derived From Medical Image." In ASME/JSME 2007 5th Joint Fluids Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/fedsm2007-37576.
Повний текст джерелаSoranna, Francesco, Yi-Chih Chow, Oguz Uzol, and Joseph Katz. "Structure of Turbulence Within a Sheared Wake of a Rotor Blade." In ASME 2006 2nd Joint U.S.-European Fluids Engineering Summer Meeting Collocated With the 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/fedsm2006-98401.
Повний текст джерелаKudryavtsev, Alexey, Anton Shershnev, and Mikhail Ivanov. "Numerical Simulation of Gas Microflows by Solving Relaxation-Type Kinetic Equations." In ASME 2009 Second International Conference on Micro/Nanoscale Heat and Mass Transfer. ASMEDC, 2009. http://dx.doi.org/10.1115/mnhmt2009-18520.
Повний текст джерелаBasch, Julien, João Comba, Leonidas J. Guibas, John Hershberger, Craig D. Silverstein, and Li Zhang. "Kinetic data structures." In the fifteenth annual symposium. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/304893.305004.
Повний текст джерелаNigmatullin, Raoul R. "The “Fractional” Kinetic Equations and General Theory of Dielectric Relaxation." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84647.
Повний текст джерелаKergourlay, Ge´rald, Smai¨ne Kouidri, Gary W. Rankin, and Robert Rey. "3D Structure of the Rotor Wake of a Three Different Sweep Axial Fan." In ASME 2005 Fluids Engineering Division Summer Meeting. ASMEDC, 2005. http://dx.doi.org/10.1115/fedsm2005-77284.
Повний текст джерелаSoranna, Francesco, Yi-Chih Chow, Oguz Uzol, and Joseph Katz. "Flow Structure and Turbulence in the Tip Region of a Turbomachine Rotor Blade." In ASME Turbo Expo 2007: Power for Land, Sea, and Air. ASMEDC, 2007. http://dx.doi.org/10.1115/gt2007-27590.
Повний текст джерелаAl Shoaibi, Ahmed, and Anthony M. Dean. "Kinetic Analysis of C4 Alkane and Alkene Pyrolysis: Implications for SOFC Operation." In ASME 2008 6th International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2008. http://dx.doi.org/10.1115/fuelcell2008-65033.
Повний текст джерелаЗвіти організацій з теми "Kinetic data structure"
Görz, Ines, and Peggy HIELSCHER. GIS-based structural analysis on the sphere: an approach for the kinematic interpretation of structural data. Cogeo@oeaw-giscience, September 2011. http://dx.doi.org/10.5242/iamg.2011.0129.
Повний текст джерелаLeWinter, Adam, Elias Deeb, Dominic Filiano, and David Finnegan. Continued investigation of thermal and lidar surveys of building infrastructure : Crary Lab and wet utility corridor, McMurdo Station, Antarctica. Engineer Research and Development Center (U.S.), March 2022. http://dx.doi.org/10.21079/11681/43820.
Повний текст джерелаLOW-CYCLE FATIGUE PROPERTIES OF AUSTENITIC STAINLESS STEEL S30408 UNDER LARGE PLASTIC STRAIN AMPLITUDE. The Hong Kong Institute of Steel Construction, March 2022. http://dx.doi.org/10.18057/ijasc.2022.18.1.10.
Повний текст джерела