Journal articles: 'Computer visualization and simulation'

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Stettner, A., and D. P. Greenberg. "Computer graphics visualization for acoustic simulation." ACM SIGGRAPH Computer Graphics 23, no. 3 (July 1989): 195–206. http://dx.doi.org/10.1145/74334.74353.

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Macal, Charles M. "Simulation and Visualization." SIMULATION 74, no. 6 (June 2000): 365. http://dx.doi.org/10.1177/003754970007400607.

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Macal, Charles M. "Simulation and Visualization." SIMULATION 76, no. 1 (January 2001): 49. http://dx.doi.org/10.1177/003754970107600108.

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Macal, Charles M. "Simulation and Visualization." SIMULATION 76, no. 2 (February 2001): 122. http://dx.doi.org/10.1177/003754970107600217.

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Macal, Charles M. "Simulation and Visualization." SIMULATION 76, no. 3 (March 2001): 187. http://dx.doi.org/10.1177/003754970107600309.

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Macal, Charles M. "Simulation and Visualization." SIMULATION 76, no. 5 (May 2001): 308. http://dx.doi.org/10.1177/003754970107600519.

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Macal, Charles M. "Simulation and Visualization." SIMULATION 77, no. 3-4 (September 2001): 90–92. http://dx.doi.org/10.1177/003754970107700301.

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Maciel, Anderson, Carla M. Dal Sasso Freitas, and Luciana Nedel. "Visualization, Interaction and Simulation Lab at UFRGS." Comunicações em Informática 4, no. 2 (November 9, 2020): 54–57. http://dx.doi.org/10.22478/ufpb.2595-0622.2020v4n2.54664.

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The Visualization, Interaction and Simulation Laboratory (VISLab) is part of the Computer Graphics, Image Processing and Interaction research group, which started its activities in 1978 developing projects mainly on rendering and animation. Along the years, as new researchers joined the group, new research fields such as image acquisition and analysis, virtual reality, non-conventional interaction, and visualization of complex data started to be investigated. Within this group, VISLab is majorly concerned with research on human-computer interaction, with emphasis on non-conventional, 3D interaction and haptics, and immersive visualization in the context of virtual and augmented reality applications. In this paper, we present the research of the VISLab and the strategy being used to achieve its main goal: to enhance the human with computers, extending the perception capabilities and improving the human power of action in a natural way.

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Stettner, Adam. "Computer graphics for acoustic simulation and visualization." Journal of the Acoustical Society of America 85, S1 (May 1989): S77. http://dx.doi.org/10.1121/1.2027141.

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Urban, Ondřej, Michaela Kurková, and Pavel Rudolf. "Application of Computer Graphics Flow Visualization Methods in Vortex Rope Investigations." Energies 14, no. 3 (January 26, 2021): 623. http://dx.doi.org/10.3390/en14030623.

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Computer graphics visualization techniques for application on data from Computational Fluid Dynamics (CFD) simulations of the vortex rope, a phenomenon present in hydraulic turbines operating in off-design conditions, were devised. This included not only objects for visualization (what to visualize) but also methods of the visualization itself (how to do it). By means of advanced methods based particularly on volume rendering of Eulerian fields in combination with Lagrangian objects, various phenomena were captured, such as the motion of the vortex rope or the backflow zone. The data came from simulations using a scale-resolving hybrid turbulence model, the Stress-Blended Eddy Simulation. In such detailed simulations and other applications involving complex three-dimensional structures, proper visualization methods are needed to leverage the content captured in the resultant data.

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Zhou, Bo, Jeremy Blum, and Azim Eskandarian. "Virtual Reality Visualization of Microscopic Traffic Simulations." Transportation Research Record: Journal of the Transportation Research Board 1937, no. 1 (January 2005): 159–66. http://dx.doi.org/10.1177/0361198105193700122.

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Traditional microscopic traffic simulations visualize simulation results in two dimensions. Visualization in three dimensions provides additional versatility to these simulations and allows the utilization of their results for additional purposes. An approach to visualization of CORSIM simulations in three dimensions with the use of a personal computer–based virtual reality package is presented. The key to this approach is translation of the network geometry and traffic data, which is done by a specially designed middleware program. A practical simulation problem is presented to demonstrate the visualization procedure and its assessment. Potential improvements over the current work are discussed.

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Xie, Xiao Peng, and Yun Yi Li. "Computer Simulation Study Based on Matlab." Applied Mechanics and Materials 513-517 (February 2014): 3049–52. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3049.

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This paper describes the use of one of the Matlab toolbox dynamic simulation tool Simulink simulation methods, and improve simulation speed, the simulation results analysis conducted in-depth elaboration. Also describes the use of SIMULINK simulation tools to achieve automatic control system modeling, analysis and design, simulation methods and Simulink-based video and image processing module sets into visualization, modular modeling idea.

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Zhang, Rong. "Based on Computer Graphics Visualization Technologies." Applied Mechanics and Materials 529 (June 2014): 726–29. http://dx.doi.org/10.4028/www.scientific.net/amm.529.726.

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With the development of calculation ability and data processing ability of computer,so process complex data has become possible,with computer graphics methods, in a easily observe graphic way to represent data requirements has became popular day by day. The article describes some fields which attract users' attention,such as scientific processing, landscape simulation,visualization research technique in medical diagnosis.

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Sauter, Vicki L., Srikanth Mudigonda, Ashok Subramanian, and Ray Creely. "Visualization-Based Decision Support Systems." International Journal of Decision Support System Technology 3, no. 1 (January 2011): 1–20. http://dx.doi.org/10.4018/jdsst.2011010101.

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Increasingly, decision makers are incorporating large quantities of interrelated data in their decision making. Decision support systems need to provide visualization tools to help decision makers glean trends and patterns that will help them design and evaluate alternative actions. While visualization software that might be incorporated into decision support systems is available, the literature does not provide sufficient guidelines for selecting among possible visualizations or their attributes. This paper describes a case study of the development of a visualization component to represent regional relationship data. It addresses the specific information goals of the target organization, various constraints that needed to be satisfied, and how the goals were achieved via a suitable choice of visualization technology and visualization algorithms. The development process highlighted the need for specific visualizations to be driven by the specific problem characteristics as much as general rules of visualization. Lessons learned during the process and how these lessons may be generalized to address similar requirements is presented.

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Summers, Kenneth L., Thomas Preston Caudell, Kathryn Berkbigler, Brian Bush, Kei Davis, and Steve Smith. "Graph Visualization for the Analysis of the Structure and Dynamics of Extreme-Scale Supercomputers." Information Visualization 3, no. 3 (July 8, 2004): 209–22. http://dx.doi.org/10.1057/palgrave.ivs.9500079.

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We are exploring the development and application of information visualization techniques for the analysis of new massively parallel supercomputer architectures. Modern supercomputers typically comprise very large clusters of commodity SMPs interconnected by possibly dense and often non-standard networks. The scale, complexity, and inherent non-locality of the structure and dynamics of this hardware, and the operating systems and applications distributed over them, challenge traditional analysis methods. As part of the á la carte (A Los Alamos Computer Architecture Toolkit for Extreme-Scale Architecture Simulation) team at Los Alamos National Laboratory, who are simulating these new architectures, we are exploring advanced visualization techniques and creating tools to enhance analysis of these simulations with intuitive three-dimensional representations and interfaces. This work complements existing and emerging algorithmic analysis tools. In this paper, we give background on the problem domain, a description of a prototypical computer architecture of interest (on the order of 10,000 processors connected by a quaternary fat-tree communications network), and a presentation of three classes of visualizations that clearly display the switching fabric and the flow of information in the interconnecting network.

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Idogawa, Tomoyuki, and Hideo Miura. "Flow visualization of tidal current simulation by personal computer." JOURNAL OF THE FLOW VISUALIZATION SOCIETY OF JAPAN 6, no. 22 (1986): 451–54. http://dx.doi.org/10.3154/jvs1981.6.451.

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Karki, B. B., and G. Khanduja. "Computer simulation and visualization of vacancy defects in MgSiO3perovskite." Modelling and Simulation in Materials Science and Engineering 14, no. 6 (July 13, 2006): 1041–52. http://dx.doi.org/10.1088/0965-0393/14/6/011.

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Honjo, Tsuyoshi, Kiyoshi Umeki, Darhsiung Wang, Pinan Yang, and Hanching Hsieh. "Landscape Simulation and Visualization on Google Earth." International Journal of Virtual Reality 10, no. 2 (January 1, 2011): 11–15. http://dx.doi.org/10.20870/ijvr.2011.10.2.2806.

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In this study, we made a landscape visualization system that enables virtual experience in a planned landscape including vegetation on Google Earth. The applicability of the system to the landscape design was quite powerful. The planning system generates KML (Keyhole Markup Language) and VRML. KML file is visualized on Google Earth and VRML file can be visualized on stand alone computer. Plants were automatically placed on a terrain based on the data of GIS or Excel by using the system developed in this study. With the system, we made models of Koishikawa Korakuen Garden based on measured data. Performance of walk-through simulations was quite good. We proved that landscape visualization and simulation with Google Earth was possible and that the system can be used as a practical and low cost landscape simulation tool.

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Hoang, Roger V., Matthew R. Sgambati, Timothy J. Brown, Daniel S. Coming, and Frederick C. Harris. "VFire: Immersive wildfire simulation and visualization." Computers & Graphics 34, no. 6 (December 2010): 655–64. http://dx.doi.org/10.1016/j.cag.2010.09.014.

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Rober, Niklas, Michael Bottinger, Bjorn Stevens, Amit Agrawal, and Francesca Samsel. "Visualization of Climate Science Simulation Data." IEEE Computer Graphics and Applications 41, no. 1 (January 1, 2021): 42–48. http://dx.doi.org/10.1109/mcg.2020.3043987.

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Ocheretna, Larysa, and David Lukáš. "Computer Simulation of a Fluid Flow through the Declined Porous Structure." Advanced Materials Research 746 (August 2013): 271–76. http://dx.doi.org/10.4028/www.scientific.net/amr.746.271.

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Computer simulation of a fluid flow through the declined porous structure is presented in the paper. The hypothesis related to the curious behaviour of the fluid flow inside assembled filters is verified using Lattice Gas Cellular Automata approach. Based on a set of computer simulations the reorganization of the fluid flow inside declined porous structure was obtained for different simulation setups. The results obtained from the computer simulation have shown that LGCA model is not only suitable for a theoretical prediction of a fluid flow inside porous structures but also it can be used as a visualization tool.

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Zhang, Jing, Jie Zhu, Wei Dong, and Xu Ning Liu. "Application Study of Computer Simulation Model on Growth Visualization of Poplar." Applied Mechanics and Materials 336-338 (July 2013): 1402–5. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.1402.

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In order to stimulate growth model of poplar and achieve the visualization of poplar growth, the growth model is investigated from the perspective of computer simulation technology. The paper first presents physiological changes of poplar, discusses the changing rules of the space-time state of poplar growth, proposes the growth model of poplar based on state machine and predicts the growth of poplar authentically. Based on this model, the visualization algorithm of poplar growth is constructed; the data of poplar growth is properly organized; a simulation prototype system is developed to verify the validity of the model. Practice has shown that this growth model can simulate growth process of poplar and has high correctness and efficiency in the application of poplar visualization.

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Liu, Cheng. "Research on Visualization Simulation Technology of Frequency Response Based on Artificial Intelligence." Applied Mechanics and Materials 543-547 (March 2014): 3454–57. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3454.

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Based on the discrete mathematics model, this paper analyzes and studies the artificial intelligence virtual technology of computer and verifies the feasibility and reliability of the model through the virtual numerical experiment of computers simulation. The first part of the article describes the key of computers artificial intelligence virtual process and virtual technology and discusses the analog signal and conversion process of digital signal and the visualization process. Base on this, this paper establishes the discrete mathematical model of computers logic. This model can determine the signal and issue digital signal and control instruction. At last, this paper designs a virtual computers simulation and verifies the reliability of the model through the successful control of multi-freedom of virtual human. It also has been extended to piano playing process and concluded the time visualization chart of the pianos frequency response event which provides a technical reference for the study of vocal performance process simulation.

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Lupsa-Tataru, Lucian. "Data Reduction and Visualization in Computer Simulation of Electrical Transients." International Review on Modelling and Simulations (IREMOS) 9, no. 3 (June 30, 2016): 155. http://dx.doi.org/10.15866/iremos.v9i3.8476.

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W.F.A. "Visualization — The second computer revolution." Mathematics and Computers in Simulation 33, no. 2 (August 1991): 179. http://dx.doi.org/10.1016/0378-4754(91)90174-2.

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Vojinovic, Oliver, Ivan Milentijevic, Dejan Genov, and Aleksandar Radulovic. "Presentation and simulation of computer architectures." Facta universitatis - series: Electronics and Energetics 17, no. 3 (2004): 325–41. http://dx.doi.org/10.2298/fuee0403325v.

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Understanding modern computer architectures requires a good knowledge of the dynamic behavior of processors. A new alternative platform for creating and delivering presentations that successfully combines positive issues of both general and special-purpose presentation tools for computer architectures is proposed in this paper. Proposed platform introduces the concept of dynamic usage of data providers during the presentation and creating slide templates instead of slide creation. Originally developed presentation/simulation tool SimArch that implements almost all key features from the new platform is described. SimArch is designed for teaching/research purposes and devoted to description and visualization of computer architectures. Crucial novelties in SimArch related to involving of slide templates, behavior cases and selection of examples are demonstrated on examples based on MIPS architecture subsets.

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Grover, D. J. "Scientific visualization and graphics simulation." Displays 12, no. 1 (January 1991): 55. http://dx.doi.org/10.1016/0141-9382(91)90029-d.

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Feijó, Bruno. "Visualization, Digital Content, and Simulation." IEEE Multimedia 16, no. 1 (January 2009): 8–12. http://dx.doi.org/10.1109/mmul.2009.19.

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Qin, Feiwei, Haibin Xia, Yong Peng, and Zizhao Wu. "Integrated Modeling, Simulation, and Visualization for Nanomaterials." Complexity 2018 (2018): 1–16. http://dx.doi.org/10.1155/2018/5083247.

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Computer aided modeling and simulation of nanomaterials can describe the correlation between the material’s microstructure and its macroscopic properties quantitatively. In this paper, we propose an integrated modeling, simulation, and visualization approach for designing nanomaterials. Firstly, a fast parametric modeling method for important nanomaterials such as graphene, nanotubes, and MOFs is proposed; secondly, the material model could be edited adaptively without affecting the validity of the model on the physical level; thirdly a preliminary calculation for nanomaterials’ energy is implemented based on the theory of surface fitting; finally, an integrated framework of nanomaterials modeling, simulation, and visualization is designed and implemented. Experimental results show that the proposed approach is feasible and effective.

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Rozmanov, Dmitri, Svetlana Baoukina, and D. Peter Tieleman. "Density based visualization for molecular simulation." Faraday Discuss. 169 (2014): 225–43. http://dx.doi.org/10.1039/c3fd00124e.

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Molecular visualization of structural information obtained from computer simulations is an important part of research work flow. A good visualization technique should be capable of eliminating redundant information and highlight important effects clarifying the key phenomena in the system. Current methods of presenting structural data are mostly limited to variants of the traditional ball-and-stick representation. This approach becomes less attractive when very large biological systems are simulated at microsecond timescales, and is less effective when coarse-grained models are used. Real time rendering of such large systems becomes a difficult task; the amount of information in one single frame of a simulation trajectory is enormous given the large number of particles; at the same time, each structure contains information about one configurational point of the system and no information about statistical weight of this specific configuration. In this paper we report a novel visualization technique based on spatial particle densities. The atomic densities are sampled on a high resolution 3-dimensional grid along a relatively short molecular dynamics trajectory using hundreds of configurations. The density information is then analyzed and visualized using the open-source ParaView software. The performance and capability of the method are demonstrated on two large systems simulated with the MARTINI coarse-grained force field: a lipid nanoparticle for delivering siRNA molecules and monolayers with a complex composition under conditions that induce monolayer collapse.

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Nonaka, Jorji, Eduardo C. Inacio, Kenji Ono, Mario A. R. Dantas, Yasuhiro Kawashima, Tomohiro Kawanabe, and Fumiyoshi Shoji. "Data I/O management approach for the post-hoc visualization of big simulation data results." International Journal of Modeling, Simulation, and Scientific Computing 09, no. 03 (May 24, 2018): 1840006. http://dx.doi.org/10.1142/s1793962318400068.

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Leading-edge supercomputers, such as the K computer, have generated a vast amount of simulation results, and most of these datasets were stored on the file system for the post-hoc analysis such as visualization. In this work, we first investigated the data generation trends of the K computer by analyzing some operational log data files. We verified a tendency of generating large amounts of distributed files as simulation outputs, and in most cases, the number of files has been proportional to the number of utilized computational nodes, that is, each computational node producing one or more files. Considering that the computational cost of visualization tasks is usually much smaller than that required for large-scale numerical simulations, a flexible data input/output (I/O) management mechanism becomes highly useful for the post-hoc visualization and analysis. In this work, we focused on the xDMlib data management library, and its flexible data I/O mechanism in order to enable flexible data loading of big computational climate simulation results. In the proposed approach, a pre-processing is executed on the target distributed files for generating a light-weight metadata necessary for the elaboration of the data assignment mapping used in the subsequent data loading process. We evaluated the proposed approach by using a 32-node visualization cluster, and the K computer. Besides the inevitable performance penalty associated with longer data loading time, when using smaller number of processes, there is a benefit for avoiding any data replication via copy, conversion, or extraction. In addition, users will be able to freely select any number of nodes, without caring about the number of distributed files, for the post-hoc visualization and analysis purposes.

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Bidaybekov, Ye Y., Y. K. Khenner, Sh T. Shekerbekova, and Y. Н. Zhabayev. "ON THE ISSUE OF TRAINING FUTURE COMPUTER SCIENCE TEACHERS IN COMPUTER." BULLETIN Series of Physics & Mathematical Sciences 72, no. 4 (September 29, 2020): 174–79. http://dx.doi.org/10.51889/2020-4.1728-7901.27.

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The article discusses of training future computer science teachers in computer networks based on network simulation. Analysis of scientific and pedagogical and educational literature has shown that in the training of computer science teachers, computer networks are studied in the aspect of information simulation of their structures, while simulation the processes of their functioning is not given due attention, despite the possibility of its use in the organization of training. Most educational institutions face organizational, technical and material difficulties when organizing training in computer networks on real equipment. The above-mentioned difficulties in training future computer science teachers in computer networks can be avoided by using network simulation. By network simulation, we mean reproducing a dynamic image of the main network components (network cables, switches, hubs, routers, etc.) and visualization the processes of their configuration and operation on the computer screen.

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Hegror, Gerard, Patrizia Palamidese, and Daniel Thalmann. "Motion Control in Animation, Simulation and Visualization." Computer Graphics Forum 8, no. 4 (December 1989): 347–52. http://dx.doi.org/10.1111/j.1467-8659.1989.tb00516.x.

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AlSayyad, Nezar. "Virtual Cairo: An Urban Historian's View of Computer Simulation." Leonardo 32, no. 2 (April 1999): 93–100. http://dx.doi.org/10.1162/002409499553064.

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Recent advances in computer-visualization technology have brought urban historians new tools for analyzing the growth of historic cities. This paper examines both the prospects and problems involved in using this technology to map the development of urban form. Using a computer model of Cairo in two different periods of the Middle Ages, the author has attempted to reconstruct the physical reality of the city and to animate the city so that modernday observers may experience its principal streets. While the work has shown computer simulation to be a significant tool for helping urban historians understand the built environments of the past, it has also exposed possible pitfalls in the seductive potential of such simulations.

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Nevins, Michael R., Charles M. Macal, Richard J. Love, and Mark J. Bragen. "Simulation, Animation and Visualization of Seaport Operations." SIMULATION 71, no. 2 (August 1998): 96–106. http://dx.doi.org/10.1177/003754979807100204.

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Zhu, Shan Hong. "The Application of MATLAB Simulation in the Computer Control Technology." Applied Mechanics and Materials 644-650 (September 2014): 606–9. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.606.

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The combination of Simulation software and specialized courses is an important direction of modern teaching.This paperanalyzes the features of the MATLAB simulation soft Simulink in teaching.An instance of Simulink used for the computer controltechnology teaching is used to show its advantages such as visualization,flexibility and so on..

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Johnson, David, James Osborne, Zhihui Wang, and Kostas Marias. "Computer Simulation, Visualization, and Image Processing of Cancer Data and Processes." Cancer Informatics 14s4 (January 2015): CIN.S37982. http://dx.doi.org/10.4137/cin.s37982.

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Ieshkin, A., Y. Ermakov, V. Chernysh, I. Ivanov, I. Kryukov, K. Alekseev, N. Kargin, and Z. Insepov. "Computer simulation and visualization of supersonic jet for gas cluster equipment." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 795 (September 2015): 395–98. http://dx.doi.org/10.1016/j.nima.2015.06.026.

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Brostow, Witold, Sameer Deshpande, Travis Hilbig, and Ricardo Simoes. "Molecular dynamics computer simulation of scratch resistance testing of polymers: visualization." Polymer Bulletin 70, no. 4 (February 28, 2013): 1457–64. http://dx.doi.org/10.1007/s00289-013-0949-5.

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Clem, Carole J., and Jean Paul Rigaut. "Computer simulation modelling and visualization of 3D architecture of biological tissues." Acta Biotheoretica 43, no. 4 (December 1995): 425–42. http://dx.doi.org/10.1007/bf00713563.

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Morrissey, John P., Prabhat Totoo, Kevin J. Hanley, Stefanos-Aldo Papanicolopulos, Jin Y. Ooi, Iván Cores Gonzalez, Bruno Raffin, Seyedmorteza Mostajabodaveh, and Thomas Gierlinger. "Post-processing and visualization of large-scale DEM simulation data with the open-source VELaSSCo platform." SIMULATION 96, no. 7 (May 5, 2020): 567–81. http://dx.doi.org/10.1177/0037549720906465.

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Regardless of its origin, in the near future the challenge will not be how to generate data, but rather how to manage big and highly distributed data to make it more easily handled and more accessible by users on their personal devices. VELaSSCo (Visualization for Extremely Large-Scale Scientific Computing) is a platform developed to provide new visual analysis methods for large-scale simulations serving the petabyte era. The platform adopts Big Data tools/architectures to enable in-situ processing for analytics of engineering and scientific data and hardware-accelerated interactive visualization. In large-scale simulations, the domain is partitioned across several thousand nodes, and the data (mesh and results) are stored on those nodes in a distributed manner. The VELaSSCo platform accesses this distributed information, processes the raw data, and returns the results to the users for local visualization by their specific visualization clients and tools. The global goal of VELaSSCo is to provide Big Data tools for the engineering and scientific community, in order to better manipulate simulations with billions of distributed records. The ability to easily handle large amounts of data will also enable larger, higher resolution simulations, which will allow the scientific and engineering communities to garner new knowledge from simulations previously considered too large to handle. This paper shows, by means of selected Discrete Element Method (DEM) simulation use cases, that the VELaSSCo platform facilitates distributed post-processing and visualization of large engineering datasets.

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Baker, Charles, Sheelagh Carpendale, Przemyslaw Prusinkiewicz, and Michael Surette. "GeneVis: Simulation and Visualization of Genetic Networks." Information Visualization 2, no. 4 (December 2003): 201–17. http://dx.doi.org/10.1057/palgrave.ivs.9500055.

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GeneVis simulates genetic networks and visualizes the process of this simulation interactively, providing a visual environment for exploring the dynamics of genetic regulatory networks. The visualization environment supports several representational modes, which include: an individual protein representation, a protein concentration representation, and a network structure representation. The individual protein representation shows the activities of the individual proteins. The protein concentration representation illustrates the relative spread and concentrations of the different proteins in the simulation. The network structure representation depicts the genetic network dependencies that are present in the simulation. GeneVis includes several interactive viewing tools. These include animated transitions from the individual protein representation to the protein concentration representation and from the individual protein representation to the network structure representation. Three types of lenses are used to provide different views within a representation: fuzzy lenses, base pair lenses, and the network structure ring lens. With a fuzzy lens an alternate representation can be viewed in a selected region. The base pair lenses allow users to reposition genes for better viewing or to minimize interference during the simulation. The ring lens provides detail-in-context viewing of individual levels in the genetic network structure representation.

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Li, Shuanhu, Jun Yang, and Ziwen Zhang. "Research on 3D International River Visualization Simulation Based on Human-Computer Interaction." Wireless Communications and Mobile Computing 2020 (December 1, 2020): 1–12. http://dx.doi.org/10.1155/2020/8838617.

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With the development of digitalization in various fields, the water conservancy field is gradually developing digital three-dimensional visualization research to promote the development of digital watershed construction. This paper deeply analyzes and discusses the theory and application of three-dimensional visualization of river water scenes and realizes an interactive visual simulation system based on virtual reality technology, which simulates simulation and operation management, which can greatly accelerate the data. The processing speed makes the huge data be effectively utilized to provide visual interaction means for numerical simulation and data analysis, improve the efficiency of numerical calculation, and realize human-computer interaction communication, so that people can observe the phenomena and laws that are difficult to observe by traditional methods. The rationality of the mathematical model is analyzed for effectiveness.

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Mostafa, Hala, and Reem Bahgat. "The Agent Visualization System: A Graphical and Textual Representation for Multi-Agent Systems." Information Visualization 4, no. 2 (June 2005): 83–94. http://dx.doi.org/10.1057/palgrave.ivs.9500093.

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As scientists from various domains increasingly resort to agent-based simulation for a more thorough understanding of real-world phenomena, the need for a simulation environment that facilitates rapid development of multi-agent systems is growing. Such a platform should provide means of visualizing the simulated scenario. In this paper we present the agent visualization system, the first system of its kind to specifically focus on catering to the visualization needs of agent-based simulation. The proposed system is a generic add-on that equips a simulation environment with a rich set of visualization facilities offering a variety of textual and graphical browsers that allow the modeler to detect trends and relationships in the simulation scenario. Some techniques from the field of information visualization were adapted and added to the system, while others were devised especially to be used in it. Regardless of their origin, all visualization techniques were thoroughly revised to make them generic enough to fit in our generic system. Agent visualization is more challenging than traditional information visualization in more than one respect. One of them is that the data to be visualized is not static; the simulation system is constantly producing data with every time step. Moreover, the sheer amount of data, together with its diversity, call for special adaptations to ensure that the system remains responsive and generic. To illustrate the various features of the proposed agent visualization system, we present a visualization of MicroTerra; a simulation scenario involving a group of beings trying to maximize their food intake.

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Ladd, Ned, Katharyn Nottis, and Patricia Udomprasert. "A Hybrid Hands-On And Computer Simulation Laboratory Activity For The Teaching Of Astronomical Parallax." Journal of Astronomy & Earth Sciences Education (JAESE) 6, no. 2 (December 1, 2019): 31–44. http://dx.doi.org/10.19030/jaese.v6i2.10338.

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As computer-based visualization techniques are becoming more important across the landscape of astronomy education, this pre-test/post-test study using the Size, Scale, and Structure Concept Inventory (S3CI) looked at the impact of using a hybrid combination of hands-on and computer-based activities on the learning of five semesters of non-science majoring undergraduates learning about the concept of astronomical parallax. The hybrid laboratory activity comprises an outdoor component where students use the parallax method to determine the distances to nearby objects, and a computer visualization component using the American Astronomical Society’s WorldWide Telescope astronomical visualization software. This activity was implemented as part of an undergraduate astronomy course for non-science majors. Based on an analysis of student responses, we conclude that this activity can help students understand the parallax method as applied in the astronomical realm. However, even after instruction, students had difficulty recognizing this method as the primary means for determining distances in astronomy.

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Rybachuk, Yurii, and Andrzej Jodłowski. "Computer simulation of the aggregates formation during flocculation process." E3S Web of Conferences 44 (2018): 00154. http://dx.doi.org/10.1051/e3sconf/20184400154.

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The main goal of this paper is to analyse physical and chemical aspects affecting the structure and strength of flocs, which are created during coagulation and flocculation of water impurities, from the point of view of process computer simulation. Proposed mathematical dependencies were used for computer modelling of the process as well as visualisation of the obtained results. The results of algorithms operation and visualization were shown as graphical representation. Laboratory studies were carried out to check the realism of the proposed algorithm.

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Zhuang, Guo Min. "Simulation Environment of Virtual Visualization Technology Based on Apriori Algorithm." Applied Mechanics and Materials 608-609 (October 2014): 1131–35. http://dx.doi.org/10.4028/www.scientific.net/amm.608-609.1131.

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Based on the optimization emergency management legal mechanism of environment emergency, we introduce the Apriori law to the emergencies analysis, and use support degree and confidence degree to improve the Apriori law, so the law has stronger relevance. We use the VC software to programming mathematical model of the law, and use VC source code and engineering design model to design the computer optimization system of environmental emergency management legal mechanism. In order to verify the effectiveness and reliability of the system, we do correlation calculation on legal mechanism before and after optimization, and obtain the correlation visualization process curve of Apriori law, and obtain the optimum structure of environmental emergencies legal mechanism. It provides a new computer method for studying environmental emergency management.

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KUWAHARA, KUNIO. "FLOW SIMULATION ON SUPERCOMPUTERS AND ITS VISUALIZATION." International Journal of High Speed Computing 04, no. 01 (March 1992): 49–70. http://dx.doi.org/10.1142/s0129053392000213.

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Afanasiev, Valery, Dmitry Baigozin, Ilia Kazanski, Sergey Fomin, and Stanislav Klimenko. "RTR-trees for space robotics behavior simulation and visualization." Visual Computer 23, no. 5 (March 24, 2007): 347–58. http://dx.doi.org/10.1007/s00371-007-0112-0.

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Buffat, Marc, Anne Cadiou, Lionel Le Penven, and Christophe Pera. "In situ analysis and visualization of massively parallel computations." International Journal of High Performance Computing Applications 31, no. 1 (July 27, 2016): 83–90. http://dx.doi.org/10.1177/1094342015597081.

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Massively parallel simulations generate increasing volumes of big data, whose exploitation requires increasingly large storage resources, efficient networking technologies and post-processing facilities. In the coming era of exascale supercomputing, there is an emerging need for new data analysis and visualization strategies. A promising solution consists of coupling analysis with simulation, so that both are performed simultaneously. This paper describes a client–server in situ analysis for massively parallel time-evolving computations. Its application to very large turbulent transition simulations using a spectral approximation is presented. It is shown to have a low impact on the computational time with a reasonable increase of resource usage, while enriching data exploration. Computational steering is performed with real-time adjustment of the simulation parameters, thereby getting closer to a numerical experiment process. This would not have been achieved with a classical work flow using off-line visualization.

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Journal articles on the topic 'Computer visualization and simulation'

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