Relevant bibliographies by topics / Visualization modeling

Academic literature on the topic 'Visualization modeling'

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Published: 30 May 2022
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Journal articles on the topic "Visualization modeling"

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Constant, Jean. "Knowledge Visualization in Crystal Modeling." International Journal of Creative Interfaces and Computer Graphics 10, no. 2 (July 2019): 1–16. http://dx.doi.org/10.4018/ijcicg.2019070101.

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3D graphics visualization is equal part mathematics, geometry, and design. Based on the knowledge visualization framework, the author investigates the structure of a mineral to find if meaningful visualization pertaining to the field of art can be extracted from scientific resource. Working with the lines, spheres, and polygons that characterize crystal at the nanoscale provided the author an exceptional environment from which to extract coherent visualizations sustainable in the art environment. The outcome was tested in a variety of interactive platforms and opened a larger debate on cross-pollination between science and arts. Additionally, the experiment provided new ground of investigation for unexpected connections between mathematics, earth sciences, and local cultures.
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Kunii, Tosiyasu L., Hirobumi Nishida, and Masaki Hilaga. "Topological Modeling for Visualization." Journal of Advanced Mathematics and Applications 1, no. 1 (September 1, 2012): 134–50. http://dx.doi.org/10.1166/jama.2012.1010.

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Max, N., R. Crawfis, and D. Williams. "Visualization for climate modeling." IEEE Computer Graphics and Applications 13, no. 4 (July 1993): 34–40. http://dx.doi.org/10.1109/38.219448.

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Dahmen, Wolfgang, and Tom-Michael Thamm-Schaar. "Cubicoids: modeling and visualization." Computer Aided Geometric Design 10, no. 2 (April 1993): 89–108. http://dx.doi.org/10.1016/0167-8396(93)90013-s.

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Reda, Khairi, Andrew E. Johnson, Michael E. Papka, and Jason Leigh. "Modeling and evaluating user behavior in exploratory visual analysis." Information Visualization 15, no. 4 (July 25, 2016): 325–39. http://dx.doi.org/10.1177/1473871616638546.

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Empirical evaluation methods for visualizations have traditionally focused on assessing the outcome of the visual analytic process as opposed to characterizing how that process unfolds. There are only a handful of methods that can be used to systematically study how people use visualizations, making it difficult for researchers to capture and characterize the subtlety of cognitive and interaction behaviors users exhibit during visual analysis. To validate and improve visualization design, it is important for researchers to be able to assess and understand how users interact with visualization systems under realistic scenarios. This article presents a methodology for modeling and evaluating the behavior of users in exploratory visual analysis. We model visual exploration using a Markov chain process comprising transitions between mental, interaction, and computational states. These states and the transitions between them can be deduced from a variety of sources, including verbal transcripts, videos and audio recordings, and log files. This model enables the evaluator to characterize the cognitive and computational processes that are essential to insight acquisition in exploratory visual analysis and reconstruct the dynamics of interaction between the user and the visualization system. We illustrate this model with two exemplar user studies, and demonstrate the qualitative and quantitative analytical tools it affords.
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Yang, Chang, Hao Li, Peng Gao, Yu Feng Mao, and Rong Chun Zhang. "Research on Modeling and Visualization Method of Geological Objects Based on VRML." Applied Mechanics and Materials 448-453 (October 2013): 3766–71. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.3766.

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Geological strata conditions is restriction to the design and construction of projects .The significance of three-dimensional modeling of engineering rock mass is obviously for both construction and monitoring.However,the existing three-dimensional modeling methods have the disadvantages of low productivity and huge amounts of data . Focusing on these problems, a fast modelling method used to build geological model is presented in this paper. Compared with the special geological 3D modeling and analysis software ,VRML has many merits such as flexible visualization method, good transplantation of the visualization achievements , and independent platform . VRML also has the feasibility of low-bandwidth and the real-time visualization and browsing of the models .It is well suited to the visualization requirement of drilling data and cross-sectional data ,and provides a new solution for the realization of the geological visualization.
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Denney, Dennis. "Reservoir Simulation and Visualization: Fracture-Flow Modeling and Visualization." Journal of Petroleum Technology 56, no. 04 (April 1, 2004): 64–65. http://dx.doi.org/10.2118/0404-0064-jpt.

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Kohlhammer, J., K. Nazemi, T. Ruppert, and D. Burkhardt. "Toward Visualization in Policy Modeling." IEEE Computer Graphics and Applications 32, no. 5 (September 2012): 84–89. http://dx.doi.org/10.1109/mcg.2012.107.

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Groller, E., R. T. Rau, and W. Strasser. "Modeling and visualization of knitwear." IEEE Transactions on Visualization and Computer Graphics 1, no. 4 (1995): 302–10. http://dx.doi.org/10.1109/2945.485617.

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Zhang, Huai, Yaolin Shi, David A. Yuen, Zhenzhen Yan, Xiaoru Yuan, and Chaofan Zhang. "Modeling and Visualization of Tsunamis." Pure and Applied Geophysics 165, no. 3-4 (April 2008): 475–96. http://dx.doi.org/10.1007/s00024-008-0324-x.

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Dissertations / Theses on the topic "Visualization modeling"

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Leszczynski, Zigmond V. "Modeling, simulation and visualization of aerocapture." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1998. http://handle.dtic.mil/100.2/ADA358932.

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Thesis (M.S. in Astronautical Engineering) Naval Postgraduate School, December 1998.
"December 1998." Thesis advisor(s): I. Michael Ross. Includes bibliographical references (p. 85-87). Also available online.
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Frank, Tobias. "Advanced visualization and modeling of tetrahedral meshes." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola&quot, 2009. http://nbn-resolving.de/urn:nbn:de:swb:105-0716552.

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Tetrahedral meshes are becoming more and more important for geo-modeling applications. The presented work introduces new algorithms for efficient visualization and modeling of tetrahedral meshes. Visualization consists of a generic framework that includes the extraction of geological information like stratigraphic columns, fault block boundaries, simultaneous co-rendering of different attributes and boolean operations of Constructive Solid Geometry with constant complexity. Modeling can be classified into geometric and implicit modeling. Geometric modeling addresses local mesh refinement to increase the numerical resolution of a given mesh. Implicit modeling covers the definition and manipulation of implicitly defined models. A new surface reconstruction method was developed to reconstruct complex, multi-valued surfaces from noisy and sparse data sets as they occur in geological applications. The surface can be bounded and may have discontinuities. Further, this work proposes a new and innovative algorithm for rapid editing of implicitly defined shapes like horizons based on the GeoChron parametrization. The editing is performed interactively on the 3d-volumetric model and geological constraints are respected automatically.
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Kim, Seungyeon. "Modeling and visualization of version-controlled documents." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39603.

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Version-controlled documents, such as Wikipedia or program codes in Subversion, demands a novel methodology to be analyzed efficiently. The documents are continually edited by one or more authors in contrast of the case of static documents. These collaborative processses make traditional methodologies to be ineffective, yet needs for efficient methodologies are rapidly developing. This paper proposes two new models based on Local Space-time Smoothing (LSS) which captures important revision patterns while Cumulative Revision Map (CRM) tracks word insertions and deletions in particular positions of a document. These two methods enable us to understand and visualize the revision patterns intuitively and efficiently. Synthetic data and real-world data are used to demonstrate its applicability.
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Holliday, Timothy M. "Real-time 3D sonar modeling and visualization." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1998. http://handle.dtic.mil/100.2/ADA350893.

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Thesis (M.S. in Applied Physics) Naval Postgraduate School, June 1998.
"June 1998." Thesis advisor(s): Don Brutzman, Kevin B. Smith. Includes bibliographical references (p. 232). Also available online.
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Frank, Tobias Mallet Jean-Laurent. "Advanced visualization and modeling of tetrahedral meshes." Vandoeuvre-les-Nancy : INPL, 2006. http://www.scd.inpl-nancy.fr/theses/2006_FRANK_T.pdf.

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Frank, Tobias. "Advanced visualization and modeling of tetrahedral meshes." Doctoral thesis, Vandoeuvre-les-Nancy, INPL, 2006. https://tubaf.qucosa.de/id/qucosa%3A22536.

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Tetrahedral meshes are becoming more and more important for geo-modeling applications. The presented work introduces new algorithms for efficient visualization and modeling of tetrahedral meshes. Visualization consists of a generic framework that includes the extraction of geological information like stratigraphic columns, fault block boundaries, simultaneous co-rendering of different attributes and boolean operations of Constructive Solid Geometry with constant complexity. Modeling can be classified into geometric and implicit modeling. Geometric modeling addresses local mesh refinement to increase the numerical resolution of a given mesh. Implicit modeling covers the definition and manipulation of implicitly defined models. A new surface reconstruction method was developed to reconstruct complex, multi-valued surfaces from noisy and sparse data sets as they occur in geological applications. The surface can be bounded and may have discontinuities. Further, this work proposes a new and innovative algorithm for rapid editing of implicitly defined shapes like horizons based on the GeoChron parametrization. The editing is performed interactively on the 3d-volumetric model and geological constraints are respected automatically.
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Cardoso, Pedro Miguel Tenreiro. "Modeling and visualization of medical anesthesiology acts." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/11400.

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Dissertação para obtenção do Grau de Mestre em Engenharia Informática
In recent years, medical visualization has evolved from simple 2D images on a light board to 3D computarized images. This move enabled doctors to find better ways of planning surgery and to diagnose patients. Although there is a great variety of 3D medical imaging software, it falls short when dealing with anesthesiology acts. Very little anaesthesia related work has been done. As a consequence, doctors and medical students have had little support to study the subject of anesthesia in the human body. We all are aware of how costly can be setting medical experiments, covering not just medical aspects but ethical and financial ones as well. With this work we hope to contribute for having better medical visualization tools in the area of anesthesiology. Doctors and in particular medical students should study anesthesiology acts more efficiently. They should be able to identify better locations to administrate the anesthesia, to study how long does it take for the anesthesia to affect patients, to relate the effect on patients with quantity of anaesthesia provided, etc. In this work, we present a medical visualization prototype with three main functionalities: image pre-processing, segmentation and rendering. The image pre-processing is mainly used to remove noise from images, which were obtained via imaging scanners. In the segmentation stage it is possible to identify relevant anatomical structures using proper segmentation algorithms. As a proof of concept, we focus our attention in the lumbosacral region of the human body, with data acquired via MRI scanners. The segmentation we provide relies mostly in two algorithms: region growing and level sets. The outcome of the segmentation implies the creation of a 3D model of the anatomical structure under analysis. As for the rendering, the 3D models are visualized using the marching cubes algorithm. The software we have developed also supports time-dependent data. Hence, we could represent the anesthesia flowing in the human body. Unfortunately, we were not able to obtain such type of data for testing. But we have used human lung data to validate this functionality.
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Streit, Alexander. "Encapsulation and abstraction for modeling and visualizing information uncertainty." Queensland University of Technology, 2008. http://eprints.qut.edu.au/16963/.

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Information uncertainty is inherent in many real-world problems and adds a layer of complexity to modeling and visualization tasks. This often causes users to ignore uncertainty, especially when it comes to visualization, thereby discarding valuable knowledge. A coherent framework for the modeling and visualization of information uncertainty is needed to address this issue In this work, we have identified four major barriers to the uptake of uncertainty modeling and visualization. Firstly, there are numerous uncertainty modeling tech- niques and users are required to anticipate their uncertainty needs before building their data model. Secondly, parameters of uncertainty tend to be treated at the same level as variables making it easy to introduce avoidable errors. This causes the uncertainty technique to dictate the structure of the data model. Thirdly, propagation of uncertainty information must be manually managed. This requires user expertise, is error prone, and can be tedious. Finally, uncertainty visualization techniques tend to be developed for particular uncertainty types, making them largely incompatible with other forms of uncertainty information. This narrows the choice of visualization techniques and results in a tendency for ad hoc uncertainty visualization. The aim of this thesis is to present an integrated information uncertainty modeling and visualization environment that has the following main features: information and its uncertainty are encapsulated into atomic variables, the propagation of uncertainty is automated, and visual mappings are abstracted from the uncertainty information data type. Spreadsheets have previously been shown to be well suited as an approach to visu- alization. In this thesis, we devise a new paradigm extending the traditional spreadsheet to intrinsically support information uncertainty.Our approach is to design a framework that integrates uncertainty modeling tech- niques into a hierarchical order based on levels of detail. The uncertainty information is encapsulated and treated as a unit allowing users to think of their data model in terms of the variables instead of the uncertainty details. The system is intrinsically aware of the encapsulated uncertainty and is therefore able to automatically select appropriate uncertainty propagation methods. A user-objectives based approach to uncertainty visualization is developed to guide the visual mapping of abstracted uncertainty information. Two main abstractions of uncertainty information are explored for the purpose of visual mapping: the Unified Uncertainty Model and the Dual Uncertainty Model. The Unified Uncertainty Model provides a single view of uncertainty for visual mapping, whereas the Dual Uncertainty Model distinguishes between possibilistic and probabilistic views. Such abstractions provide a buffer between the visual mappings and the uncertainty type of the underly- ing data, enabling the user to change the uncertainty detail without causing the visual- ization to fail. Two main case studies are presented. The first case study covers exploratory and forecasting tasks in a business planning context. The second case study inves- tigates sensitivity analysis for financial decision support. Two minor case studies are also included: one to investigate the relevancy visualization objective applied to busi- ness process specifications, and the second to explore the extensibility of the system through General Purpose Graphics Processor Unit (GPGPU) use. A quantitative anal- ysis compares our approach to traditional analytical and numerical spreadsheet-based approaches. Two surveys were conducted to gain feedback on the from potential users. The significance of this work is that we reduce barriers to uncertainty modeling and visualization in three ways. Users do not need a mathematical understanding of the uncertainty modeling technique to use it; uncertainty information is easily added, changed, or removed at any stage of the process; and uncertainty visualizations can be built independently of the uncertainty modeling technique.
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Santhanam, Anand. "MODELING, SIMULATION, AND VISUALIZATION OF 3D LUNG DYNAMICS." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3824.

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Medical simulation has facilitated the understanding of complex biological phenomenon through its inherent explanatory power. It is a critical component for planning clinical interventions and analyzing its effect on a human subject. The success of medical simulation is evidenced by the fact that over one third of all medical schools in the United States augment their teaching curricula using patient simulators. Medical simulators present combat medics and emergency providers with video-based descriptions of patient symptoms along with step-by-step instructions on clinical procedures that alleviate the patient's condition. Recent advances in clinical imaging technology have led to an effective medical visualization by coupling medical simulations with patient-specific anatomical models and their physically and physiologically realistic organ deformation. 3D physically-based deformable lung models obtained from a human subject are tools for representing regional lung structure and function analysis. Static imaging techniques such as Magnetic Resonance Imaging (MRI), Chest x-rays, and Computed Tomography (CT) are conventionally used to estimate the extent of pulmonary disease and to establish available courses for clinical intervention. The predictive accuracy and evaluative strength of the static imaging techniques may be augmented by improved computer technologies and graphical rendering techniques that can transform these static images into dynamic representations of subject specific organ deformations. By creating physically based 3D simulation and visualization, 3D deformable models obtained from subject-specific lung images will better represent lung structure and function. Variations in overall lung deformations may indicate tissue pathologies, thus 3D visualization of functioning lungs may also provide a visual tool to current diagnostic methods. The feasibility of medical visualization using static 3D lungs as an effective tool for endotracheal intubation was previously shown using Augmented Reality (AR) based techniques in one of the several research efforts at the Optical Diagnostics and Applications Laboratory (ODALAB). This research effort also shed light on the potential usage of coupling such medical visualization with dynamic 3D lungs. The purpose of this dissertation is to develop 3D deformable lung models, which are developed from subject-specific high resolution CT data and can be visualized using the AR based environment. A review of the literature illustrates that the techniques for modeling real-time 3D lung dynamics can be roughly grouped into two categories: Geometrically-based and Physically-based. Additional classifications would include considering a 3D lung model as either a volumetric or surface model, modeling the lungs as either a single-compartment or a multi-compartment, modeling either the air-blood interaction or the air-blood-tissue interaction, and considering either a normal or pathophysical behavior of lungs. Validating the simulated lung dynamics is a complex problem and has been previously approached by tracking a set of landmarks on the CT images. An area that needs to be explored is the relationship between the choice of the deformation method for the 3D lung dynamics and its visualization framework. Constraints on the choice of the deformation method and the 3D model resolution arise from the visualization framework. Such constraints of our interest are the real-time requirement and the level of interaction required with the 3D lung models. The work presented here discusses a framework that facilitates a physics-based and physiology-based deformation of a single-compartment surface lung model that maintains the frame-rate requirements of the visualization system. The framework presented here is part of several research efforts at ODALab for developing an AR based medical visualization framework. The framework consists of 3 components, (i) modeling the Pressure-Volume (PV) relation, (ii) modeling the lung deformation using a Green's function based deformation operator, and (iii) optimizing the deformation using state-of-art Graphics Processing Units (GPU). The validation of the results obtained in the first two modeling steps is also discussed for normal human subjects. Disease states such as Pneumothorax and lung tumors are modeled using the proposed deformation method. Additionally, a method to synchronize the instantiations of the deformation across a network is also discussed.
Ph.D.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Computer Science
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Shikur, H. (Henok). "Assessing modeling and visualization capabilities of modeling tools:limitations and gaps of the open source modeling tools." Master's thesis, University of Oulu, 2015. http://urn.fi/URN:NBN:fi:oulu-201502111072.

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Due to the increasing number of Information Communication Technology (ICT) environments, security is becoming a concern for many researchers and organisations. Organisations have implemented different security measures to protect their assets. Different industries—such as power plants and water, oil, and gas utilities—are adapting different network modelling tools for guarding their assets and are preparing for incidents that might occur in the future. Modelling tools are very important for the visualisation of computer networks. There are currently many modelling tools with different modelling and visualisation capabilities for computer networks. The aim of this research is to make a thorough assessment of the different modelling tools’ capabilities of modelling computer networks and visualising computer network communication. Furthermore, it hopes to show areas for improvement in order to increase the quality of modelling tools based on industry requirements. The research methodology of this research takes the form of a case study. First, the study analyses previous research in order to illustrate gaps in the literature, as well as identifying the strengths and weaknesses of existing network modelling tools. The empirical part of the research includes first, studying and evaluating seven open-source modelling tools based on different types of capabilities, this may limit the generalisability of the findings to some extent; and second, selecting four modelling tools for further study. Once four modelling tools were evaluated based on literature reviews and the requirements set in this study, the top two open-source (OSS) modelling tool packages were selected, downloaded, installed, and evaluated further. The criteria set to evaluate the four modelling tools in this research are based on the requirements provided by the European company nSense, which provides different vulnerability assessments, security consulting, and training, and the existing literature. The evaluation of the tools resulted in the screens that were copied and presented in this document for verification. Finally, the one tool which was the most suitable for further studies, and which fulfilled most of the requirements set in this research, was recommended for further research. In total, four modelling tools were chosen for the evaluation, using different literature reviews based on the requirements (see Appendix A) in this research. The results showed that the two top modelling tools were OMNeT++ and IMUNES. After practical analysis of these tools, OMNeT++ was found to be the best tool based on the aims and requirements of this research. Further, the study found that usability problems played a large part in evaluating different modelling tools, which might have changed the outcomes of the result. It can therefore be concluded that this type of evaluation is highly dependent on the evaluator’s knowledge and skill, as well as the usability of the tool.
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Books on the topic "Visualization modeling"

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Toshiyasu, Kunii, ed. Topological modeling for visualization. Tokyo: Springer, 1997.

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Fomenko, Anatolij T., and Tosiyasu L. Kunii. Topological Modeling for Visualization. Tokyo: Springer Japan, 1997. http://dx.doi.org/10.1007/978-4-431-66956-2.

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Rockswold, Gary K. Precalculus with modeling and visualization. 3rd ed. Boston: Pearson Addison Wesley, 2006.

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Rockswold, Gary K. Precalculus with modeling and visualization. 4th ed. Boston: Pearson Addison Wesley, 2010.

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Rockswold, Gary K. Precalculus through modeling and visualization. 2nd ed. Boston: Addison-Wesley, 2002.

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Rockswold, Gary K. Precalculus through modeling and visualization. Reading, Mass: Addison Wesley, 1999.

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Brunnett, Guido, Bernd Hamann, Heinrich Müller, and Lars Linsen, eds. Geometric Modeling for Scientific Visualization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-07443-5.

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Brunnett, Guido. Geometric Modeling for Scientific Visualization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004.

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Rockswold, Gary K. College algebra through modeling and visualization. 2nd ed. Boston: Addison-Wesley, 2002.

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Rockswold, Gary K. College algebra with modeling and visualization. 4th ed. Boston: Pearson Addison-Wesley, 2010.

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Book chapters on the topic "Visualization modeling"

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Shen, Yuzhong. "Visualization." In Modeling and Simulation Fundamentals, 181–225. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470590621.ch7.

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Li, Ju. "Atomistic Visualization." In Handbook of Materials Modeling, 1051–68. Dordrecht: Springer Netherlands, 2005. http://dx.doi.org/10.1007/978-1-4020-3286-8_52.

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Li, Ju. "Atomistic Visualization." In Handbook of Materials Modeling, 1051–68. Dordrecht: Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-3286-2_52.

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Holzbecher, Ekkehard. "Potential and Flow Visualization." In Environmental Modeling, 265–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22042-5_14.

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Ebert, David, and Penny Rheingans. "Procedural Volume Modeling, Rendering, and Visualization." In Data Visualization, 317–31. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-1177-9_22.

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Hart, John C. "Morse Theory for Implicit Surface Modeling." In Mathematical Visualization, 257–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03567-2_19.

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Liu, Chen, Dongxiang Zhang, and Yueguo Chen. "Personalized Knowledge Visualization in Twitter." In Conceptual Modeling, 409–23. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25264-3_30.

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Bertram, Martin, Shirley E. Konkle, Hans Hagen, Bernd Hamann, and Kenneth I. Joy. "Terrain Modeling Using Voronoi Hierarchies." In Mathematics and Visualization, 89–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55787-3_6.

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Huang, Adam, and Gregory M. Nielson. "Surface Approximation to Point Cloud Data Using Volume Modeling." In Data Visualization, 333–43. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-1177-9_23.

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Wolff, Robert S., and Larry Yaeger. "Modeling, Animation, and Rendering." In Visualization of Natural Phenomena, 145–73. New York, NY: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4684-0646-7_6.

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Conference papers on the topic "Visualization modeling"

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Ligetti, Christopher B., Daniel A. Finke, and Jim Bean. "Construction Visualization Modeling." In SNAME Maritime Convention. SNAME, 2010. http://dx.doi.org/10.5957/smc-2010-p04.

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This paper discusses the development of a software tool that utilizes light-weight versions of 3D digital product models and detailed module construction and erection schedules to visually validate and modify the erection sequence. The tool enables planners to quickly and easily modify the schedule to improve the sequence during the planning phase, where planners with limited knowledge of the predecessor/successor relationships can visually determine erection sequence conflicts. In addition, the Erection Visualization Tool (EVT) provides a means for communicating module status and aids decision making throughout the erection process to avoid excess construction costs and ensure on time delivery of ships.
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Kuryazov, Dilshodbek, and Andreas Winter. "Collaborative Modeling Empowered By Modeling Deltas." In DChanges 2015: modeling, detection, storage and visualization. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2881631.2881633.

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Vyatkin, S. I., B. S. Dolgovesov, A. V. Yesin, R. A. Schervakov, and S. E. Chizhik. "Voxel volumes volume-oriented visualization system." In Proceedings Shape Modeling International '99. International Conference on Shape Modeling and Applications. IEEE, 1999. http://dx.doi.org/10.1109/sma.1999.749345.

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McCormick, Bruce H., and K. Mulchandani. "L-system modeling of neurons." In Visualization in Biomedical Computing 1994, edited by Richard A. Robb. SPIE, 1994. http://dx.doi.org/10.1117/12.185231.

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Augustine, Jody R. "Fracture Flow Modeling and Visualization." In SPE International Symposium and Exhibition on Formation Damage Control. Society of Petroleum Engineers, 2004. http://dx.doi.org/10.2118/86554-ms.

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Qiang, Lu, Chai Bingjie, Mao Longlong, Zhang GaoFeng, and Luo Xun. "Dynamic Collaboration Modeling and Visualization." In ChineseCSCW '17: Chinese Conference on Computer Supported Cooperative Work and Social Computing. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127404.3127415.

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Muller, Valerie, Christian Sieg, and Lars Linsen. "Uncertainty-aware Topic Modeling Visualization." In 2021 IEEE 6th Workshop on Visualization for the Digital Humanities (VIS4DH). IEEE, 2021. http://dx.doi.org/10.1109/vis4dh53644.2021.00007.

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Kaplan, Joseph, Patrick Kenney, Joseph Kaplan, and Patrick Kenney. "SimGraph - A flight simulation data visualization workstation." In Modeling and Simulation Technologies Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1997. http://dx.doi.org/10.2514/6.1997-3797.

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Durikovic, R., and T. Motooka. "Modeling material behavior: molecular dynamics simulation and visualization." In Proceedings Shape Modeling International '99. International Conference on Shape Modeling and Applications. IEEE, 1999. http://dx.doi.org/10.1109/sma.1999.749339.

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Krozel, Jimmy, David Schleicher, and Darren Dow. "Collaborative Decision Making airspace visualization tool." In Modeling and Simulation Technologies Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1999. http://dx.doi.org/10.2514/6.1999-4030.

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Reports on the topic "Visualization modeling"

1

Kung, Mou-Liang. Visualization, Modeling and Simulation Instrumentation. Fort Belvoir, VA: Defense Technical Information Center, March 2002. http://dx.doi.org/10.21236/ada401514.

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McVay, Aaron, Daniel Krisher, and Patrick Fisher. JVIEW Visualization for Virtual Airspace Modeling and Simulation. Fort Belvoir, VA: Defense Technical Information Center, April 2009. http://dx.doi.org/10.21236/ada496743.

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Bajaj, Chandrajit L. Modeling and Visualization for Polymers, Surfaces and Biomolecules. Fort Belvoir, VA: Defense Technical Information Center, October 1997. http://dx.doi.org/10.21236/ada336368.

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Wiltzuis, D. P. Modeling and analyzing visualization post-processing over distance. Office of Scientific and Technical Information (OSTI), May 1997. http://dx.doi.org/10.2172/665629.

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Tracy, Fred T. Application of Computational and Visualization Methods to Groundwater Modeling. Fort Belvoir, VA: Defense Technical Information Center, September 1994. http://dx.doi.org/10.21236/ada286422.

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Forney, Glenn P., and William E. Mell. Visualization and modeling of smoke transport over landscape scales. Gaithersburg, MD: National Institute of Standards and Technology, 2007. http://dx.doi.org/10.6028/nist.ir.7428.

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Bowman, Ian, John Shalf, Kwan-Liu Ma, and Wes Bethel. Performance Modeling for 3D Visualization in a Heterogeneous Computing Environment. Office of Scientific and Technical Information (OSTI), June 2004. http://dx.doi.org/10.2172/841324.

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William J. Schroeder. Collaborative Visualization for Large-Scale Accelerator Electromagnetic Modeling (Final Report). Office of Scientific and Technical Information (OSTI), November 2011. http://dx.doi.org/10.2172/1029125.

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Blair, Nate, Ella Zhou, Dan Getman, and Douglas J. Arent. Electricity Capacity Expansion Modeling, Analysis, and Visualization. A Summary of High-Renewable Modeling Experience for China. Office of Scientific and Technical Information (OSTI), October 2015. http://dx.doi.org/10.2172/1225943.

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Blair, Nate, Ella Zhou, Dan Getman, and Douglas J. Arent. Electricity Capacity Expansion Modeling, Analysis, and Visualization: A Summary of High-Renewable Modeling Experiences (Chinese Translation). Office of Scientific and Technical Information (OSTI), October 2015. http://dx.doi.org/10.2172/1282846.

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