Academic literature on the topic 'Graphical Modeler'
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Journal articles on the topic "Graphical Modeler"
Kim, Tae-Gon, and Jeong-Jae Lee. "Development of a Graphical Modeler for Manipulating Series Data Based on Object-Oriented Technique." Journal of The Korean Society of Agricultural Engineers 51, no. 2 (March 31, 2009): 43–49. http://dx.doi.org/10.5389/ksae.2009.51.2.043.
Full textDraman, Murat, İ. Kuban Altinel, Nijaz Bajgoric, Ali Tamer Ünal, and Burak Birgören. "A clone-based graphical modeler and mathematical model generator for optimal production planning in process industries." European Journal of Operational Research 137, no. 3 (March 2002): 483–96. http://dx.doi.org/10.1016/s0377-2217(01)00066-2.
Full textLiu, Ri Liang, Cheng Rui Zhang, A. Nassehi, and S. T. Newman. "A STEP-NC Programming System for Prismatic Parts." Materials Science Forum 532-533 (December 2006): 1108–11. http://dx.doi.org/10.4028/www.scientific.net/msf.532-533.1108.
Full textBrookes, Emre, Javier Pérez, Barbara Cardinali, Aldo Profumo, Patrice Vachette, and Mattia Rocco. "Fibrinogen species as resolved by HPLC-SAXS data processing within theUltraScan Solution Modeler(US-SOMO) enhanced SAS module." Journal of Applied Crystallography 46, no. 6 (November 15, 2013): 1823–33. http://dx.doi.org/10.1107/s0021889813027751.
Full textMostafa, 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.
Full textDurak, Umut. "Pragmatic model transformations for refactoring in Scilab/Xcos." International Journal of Modeling, Simulation, and Scientific Computing 07, no. 01 (March 2016): 1541004. http://dx.doi.org/10.1142/s1793962315410044.
Full textJeelani, Mdi Begum, Abeer S. Alnahdi, Mohammed S. Abdo, Mansour A. Abdulwasaa, Kamal Shah, and Hanan A. Wahash. "Mathematical Modeling and Forecasting of COVID-19 in Saudi Arabia under Fractal-Fractional Derivative in Caputo Sense with Power-Law." Axioms 10, no. 3 (September 15, 2021): 228. http://dx.doi.org/10.3390/axioms10030228.
Full textIbănescu, Radu, and Cătălin Ungureanu. "Lagrange's Equations versus Bond Graph Modeling Methodology by an Example of a Mechanical System." Applied Mechanics and Materials 809-810 (November 2015): 914–19. http://dx.doi.org/10.4028/www.scientific.net/amm.809-810.914.
Full textDjuric, A. M., and W. H. ElMaraghy. "GENERALIZED RECONFIGURABLE 6 - JOINT ROBOT MODELING." Transactions of the Canadian Society for Mechanical Engineering 30, no. 4 (December 2006): 533–65. http://dx.doi.org/10.1139/tcsme-2006-0034.
Full textTerres de Lima, Lucas, Sandra Fernández-Fernández, Jean Marcel de Almeida Espinoza, Miguel da Guia Albuquerque, and Cristina Bernardes. "End Point Rate Tool for QGIS (EPR4Q): Validation Using DSAS and AMBUR." ISPRS International Journal of Geo-Information 10, no. 3 (March 12, 2021): 162. http://dx.doi.org/10.3390/ijgi10030162.
Full textDissertations / Theses on the topic "Graphical Modeler"
Morris, David Victor. "A new graphical user interface for a 3D topological mesh modeler." Texas A&M University, 2008. http://hdl.handle.net/1969.1/85977.
Full textLindén, Philip. "Improving accessibility to the bus service : Building an accessibility measurement tool in QGIS." Thesis, Umeå universitet, Institutionen för geografi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-185145.
Full textSrogis, Andrius. "Automatizuotas grafinio modelio performulavimas į natūralią kalbą." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20130826_150207-45443.
Full textThe graphical model architecture design is widely used for scientific and enterprise purposes. There are many languages concentrated on enterprise processes and static systems designing. One of the most popular modeling language (UML) is missing methodology and tools suitable for correct reformulation of graphical models (formulated by the UML) in natural language. The main purpose of the graphical model reformulation in natural language is to make models easier to understand for people whose are not specialized in UML. Methodology and tool which is capable of reformulating graphical models in natural language already exists, but it isn’t concentrated on UML or capable of reformulating static and dynamic processes. The main goal of this work is to define a methodology and implement a tool, which would be capable of translating the graphical UML model to a natural language text.
Cruz, Fernández Francisco. "Probabilistic graphical models for document analysis." Doctoral thesis, Universitat Autònoma de Barcelona, 2016. http://hdl.handle.net/10803/399520.
Full textCurrently, more than 80% of the documents stored on paper belong to the business field. Advances in digitization techniques have fostered the interest in creating digital copies in order to solve maintenance and storage problems, as well as to have efficient ways for transmission and automatic extraction of the information contained therein. This situation has led to the need to create systems that can automatically extract and analyze this kind of information. The great variety of types of documents makes this not a trivial task. The extraction process of numerical data from tables or invoices differs substantially from a task of handwriting recognition in a document with annotations. However, there is a common link in the two tasks: Given a document, we need to identify the region where the information of interest is located. In the area of Document Analysis this process is called Layout Analysis, and aims at identifying and categorizing the different entities that compose the document. These entities can be text regions, pictures, text lines or tables, among others. This process can be done from two different approaches: physical or logical analysis. Physical analysis focus on identifying the physical boundaries that define the area of interest, whereas logical analysis also models information about the role and semantics of the entities within the scope of the document. To encode this information it is necessary to incorporate prior knowledge about the task into the analysis process, which can be introduced in terms of contextual relations between entities. The use of context has proven to be useful to reinforce the recognition process and improve the results on many computer vision tasks. It presents two fundamental questions: what kind of contextual information is appropriate, and how to incorporate this information into the model. In this thesis we study several ways to incorporate contextual information on the task of document layout analysis. We focus on the study of Probabilistic Graphical Models and other mechanisms for the inclusion of contextual relations applied to the specific tasks of region identification and handwritten text line segmentation. On the one hand, we present several methods for region identification. First, we present a method for layout analysis based on Conditional Random Fields for maximum a posteriori estimation. We encode a set of structural relations between different classes of regions on a set of features. Second, we present a method based on 2D-Probabilistic Context-free Grammars and perform a comparative study between probabilistic graphical models and this syntactic approach. Third, we propose a statistical approach based on the Expectation-Maximization algorithm devised to structured documents. We perform a thorough evaluation of the proposed methods on two particular collections of documents: a historical dataset composed of ancient structured documents, and a collection of contemporary documents. On the other hand, we present a probabilistic framework applied to the task of handwritten text line segmentation. We successfully combine the EM algorithm and variational approaches for this purpose. We demonstrate that the use of contextual information using probabilistic graphical models is of great utility for these tasks.
Melkersson, Oskar, and Adam Wretström. "Grafisk modellering som stöd i förstudiefasen : En aktionsforskning om hur grafiska modeller kan underlätta kommunikation mellan utvecklare ochanvändare i en förstudie." Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-27734.
Full textPapadopoulos, Nicholas. "A 3-D computer modelled animation system, implemented in an object-oriented message-passing environment." Thesis, University of Sussex, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360489.
Full textMeruvia, Pastor Oscar Ernesto. "Frame coherent 3D stippling for non-photorealistic computer graphics." [S.l.] : [s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=971456097.
Full textLohikoski, Håkansson Laura, and Elin Rudén. "Optimization of 3D Game Models : A qualitative research study in Unreal Development Kit." Thesis, Södertörns högskola, Institutionen för naturvetenskap, miljö och teknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-22822.
Full textMålet med vår studie var att se hur stor skillnad optimering av 3D-modeller i spel gör för att förbättra spelprestandan. Efter att ha utfört en pilotstudie beslutade vi oss för att använda en tidigare byggd 3D-scen för undersökningen i vår C-uppsats. Vi skapade två versioner av scenen i Unreal Development Kit, en där inga modeller var optimerade och den andra där vi optimerat modellerna. Vi skrev därefter ner statistik från de olika scenerna, nämligen draw calls, frame rate, millisecond per frame och visible static mesh elements liksom minnesanvändning. Efter att ha jämfört resultaten såg vi att det fanns en väsentlig skillnad mellan scenerna prestandamässigt. Både draw calls, frame rate och minnesanvändningen hade minskat efter optimeringen vilket ledde till att spelet kördes smidigare.
Santana, Murillo Vinícius Bento. "Desenvolvimento de sistema computacional via MATLAB/GUI (Graphical User Interface) para análise geometricamente não linear de estruturas." reponame:Repositório Institucional da UFOP, 2015. http://www.repositorio.ufop.br/handle/123456789/5463.
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Com os avanços científicos e tecnológicos, o engenheiro estrutural passou a desenvolver e/ou ter acesso a programas computacionais que possibilitam análises numéricas mais avançadas. Isso vem proporcionando aumento da segurança e economia dos projetos. Para a concepção de estruturas mais esbeltas, a realização de análises não lineares geométricas, em que os efeitos de segunda ordem são explicitamente incluídos, torna-se cada vez mais comum. Nesse contexto, esta dissertação tem como objetivo avaliar o comportamento não linear geométrico estático de sistemas estruturais reticulados planos através do desenvolvimento e emprego de um sistema computacional gráfico interativo, denominado aqui AFA-OPSM (Advanced Frame Analysis - Ouro Preto School of Mines). Esse sistema utiliza os recursos de programação gráficos interativos (GUI) do software MATLAB, e apresenta, de forma acoplada, as etapas de pré-processamento, análise estrutural e pósprocessamento. Destaca-se ainda que ele é construído segundo o paradigma da programação orientada à objetos (POO), em que várias estratégias de solução não linear foram incorporadas. As formulações não lineares de elementos finitos são desenvolvidas considerando as teorias de treliças, de viga de Euler-Bernoulli e de Timoshenko, nos referenciais Lagrangiano total e co-rotacional. Os resultados numéricos obtidos, assim como os recursos gráficos interativos do AFA-OPSM, são avaliados através do estudo de problemas estruturais clássicos de estabilidade encontrados na literatura, alguns considerados fortemente não lineares. ______________________________________________________________________________
ABSTRACT: With the scientific and technologic advances, the structural engineer has now access to computational programs that make possible more advanced numerical analysis. This have proportionate an increase in the safety and economy of projects. For the conception of slender structures, the use of geometrically nonlinear analysis, where second order effects are explicitly included, are becoming more and more common. In this context, this dissertation aims to evaluate the geometrically nonlinear static behavior of plane trusses and frame structural systems through the development and use of an interactive graphical computational system, named here AFA-OPSM (Advanced Frame Analysis – Ouro Preto School of Mines). This system is developed with the programming and graphics resources of the software MATLAB, and shows, in an integrated way, the phases of modeling, analysis and results visualization. Still, it is important to point out that this computational system is build following the object orientation paradigm, in which a diversity of nonlinear solution strategies are incorporated. The nonlinear finite elements formulations are developed considering the bar and the Euler-Bernoulli and Timoshenko beam theories, and the total Lagrangian and co-rotational reference systems. The numerical results obtained in this work, as well as the graphical resources in AFA-OPSM, are evaluated and validated through the study of classical stability structural problems found in literature, some of which are considered highly nonlinear.
Schwaller, Loïc. "Exact Bayesian Inference in Graphical Models : Tree-structured Network Inference and Segmentation." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLS210/document.
Full textIn this dissertation we investigate the problem of network inference. The statistical frame- work tailored to this task is that of graphical models, in which the (in)dependence relation- ships satis ed by a multivariate distribution are represented through a graph. We consider the problem from a Bayesian perspective and focus on a subset of graphs making structure inference possible in an exact and e cient manner, namely spanning trees. Indeed, the integration of a function de ned on spanning trees can be performed with cubic complexity with respect to number of variables under some factorisation assumption on the edges, in spite of the super-exponential cardinality of this set. A careful choice of prior distributions on both graphs and distribution parameters allows to use this result for network inference in tree-structured graphical models, for which we provide a complete and formal framework.We also consider the situation in which observations are organised in a multivariate time- series. We assume that the underlying graph describing the dependence structure of the distribution is a ected by an unknown number of abrupt changes throughout time. Our goal is then to retrieve the number and locations of these change-points, therefore dealing with a segmentation problem. Using spanning trees and assuming that segments are inde- pendent from one another, we show that this can be achieved with polynomial complexity with respect to both the number of variables and the length of the series
Books on the topic "Graphical Modeler"
Robinson, Stephen. "Multiresolution analysis of polygonal surfaces" graphics modeller. Manchester: University of Manchester, Department of Computer Science, 1996.
Find full textKasʹi︠a︡nov, V. N. Vizualizat︠s︡ii︠a︡ grafov i grafovykh modeleĭ. Novosibirsk: Sibirskoe nauch. izd-vo, 2010.
Find full textFerraro, Richard F. A tutorial guide to PT/Modeler 2.0 and Pro/ENGINEER. Reading, Mass: Addison-Wesley, 1998.
Find full textComputer graphics and geometric modeling. New York: Springer, 1999.
Find full textKoepke, Marguerite L. Model graphics: Building and using study models. New York: Van Nostrand Reinhold, 1988.
Find full textWhittaker, J. Graphical models in applied multivariate statistics. Chichester [England]: Wiley, 1990.
Find full textHow computer graphics work. Emeryville, Calif: Ziff-Davis Press, 1994.
Find full textBarzel, Ronen. Physically-based modeling for computer graphics: A structured approach. Boston: Academic Press, 1992.
Find full textPhysically-based modeling for computer graphics: A structured approach. Boston: Academic Press, 1992.
Find full textEngineering design communication and modeling using Unigraphics NX. New York: Thomson Delmar Learning, 2005.
Find full textBook chapters on the topic "Graphical Modeler"
Draman, Murat, İ. Kuban Altinel, Nijaz Bajgoric, Ali Tamer Ünal, and Burak Birgören. "An Object-Oriented Graphical Modeler for Optimal Production Planning in a Refinery." In Operations Research/Computer Science Interfaces Series, 263–78. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4567-5_15.
Full textBerdahl, Edgar, Peter Vasil, and Andrew Pfalz. "Automatic Visualization and Graphical Editing of Virtual Modeling Networks for the Open-Source Synth-A-Modeler Compiler." In Haptics: Perception, Devices, Control, and Applications, 490–500. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42324-1_48.
Full textSucar, Luis Enrique. "Graphical Causal Models." In Probabilistic Graphical Models, 237–46. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6699-3_13.
Full textSucar, Luis Enrique. "Graphical Causal Models." In Probabilistic Graphical Models, 287–305. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61943-5_14.
Full textHasegawa, Takashi, and Naomasa Nakajima. "Solid Modeler with Assembly Representation Tables." In Advanced Computer Graphics, 223–32. Tokyo: Springer Japan, 1986. http://dx.doi.org/10.1007/978-4-431-68036-9_15.
Full textIvanova, Marieta Georgieva, Christian W. Probst, René Rydhof Hansen, and Florian Kammüller. "Transforming Graphical System Models to Graphical Attack Models." In Graphical Models for Security, 82–96. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29968-6_6.
Full textLiu, Han, and John Lafferty. "Nonparametric Graphical Models." In Handbook of Graphical Models, 309–24. Boca Raton, Florida : CRC Press, c2019.: CRC Press, 2018. http://dx.doi.org/10.1201/9780429463976-13.
Full textHøjsgaard, Søren, David Edwards, and Steffen Lauritzen. "Gaussian Graphical Models." In Graphical Models with R, 77–116. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-2299-0_4.
Full textSucar, Luis Enrique. "Relational Probabilistic Graphical Models." In Probabilistic Graphical Models, 219–35. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6699-3_12.
Full textSucar, Luis Enrique. "Relational Probabilistic Graphical Models." In Probabilistic Graphical Models, 269–86. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61943-5_13.
Full textConference papers on the topic "Graphical Modeler"
Zhang, K. F., and Hoda H. ElMaraghy. "Validity Check for a Function-Oriented Modeler." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0402.
Full textDerntl, Michael, Susanne Neumann, and Petra Oberhuemer. "Propelling Standards-based Sharing and Reuse in Instructional Modeling Communities: The Open Graphical Learning Modeler (OpenGLM)." In 2011 11th IEEE International Conference on Advanced Learning Technologies (ICALT). IEEE, 2011. http://dx.doi.org/10.1109/icalt.2011.135.
Full textKameyama, Ken-ichi, Koichi Kondo, and Koichi Ohtomi. "An Intelligent Interactive Layout CAD System for Industrial Plants." In ASME 1990 Design Technical Conferences. American Society of Mechanical Engineers, 1990. http://dx.doi.org/10.1115/detc1990-0105.
Full textParikyan, Tigran, Thomas Resch, and Hans H. Priebsch. "Structured Model of Crankshaft in the Simulation of Engine Dynamics With AVL/EXCITE." In ASME 2001 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/2001-ice-435.
Full textDani, Tushar H., and Rajit Gadh. "A Framework for Designing Component Shapes in a Virtual Reality Environment." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/dfm-4372.
Full textNishino, Hiroaki, Kenji Shiihara, Tsuneo Kagawa, and Kouichi Utsumiya. "An IEC-based mobile 3D graphics modeler." In 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2008. http://dx.doi.org/10.1109/icsmc.2008.4811268.
Full textNishino, Hiroaki, Kenji Shihara, Tsuneo Kagawa, and Kouichi Utsumiya. "A Ubiquitous 3D Graphics Modeler for Mobile Devices." In 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA). IEEE, 2008. http://dx.doi.org/10.1109/ispa.2008.83.
Full textKalnina, Elina. "Concrete syntax-based find for graphical DSLs." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3417990.3422008.
Full textKalnins, Audris, and Janis Barzdins. "Metamodel specialization for graphical modeling language support." In MODELS '16: ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2976767.2976779.
Full textRodriguez-Echeverria, Roberto, Javier Luis Cánovas Izquierdo, Manuel Wimmer, and Jordi Cabot. "Towards a Language Server Protocol Infrastructure for Graphical Modeling." In MODELS '18: ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3239372.3239383.
Full textReports on the topic "Graphical Modeler"
Richards, Whitman. Graphical Models and Collective Choice. Fort Belvoir, VA: Defense Technical Information Center, August 2005. http://dx.doi.org/10.21236/ada438432.
Full textGimpel, K., and D. Rudoy. Statistical Inference in Graphical Models. Fort Belvoir, VA: Defense Technical Information Center, June 2008. http://dx.doi.org/10.21236/ada482530.
Full textMadigan, David, and Adrian E. Raftery. Model Selection and Accounting for Model Uncertainty in Graphical Models Using OCCAM's Window. Fort Belvoir, VA: Defense Technical Information Center, July 1991. http://dx.doi.org/10.21236/ada241408.
Full textWang, Haiqin, and Marek Druzdzel. Cloud Library for Directed Probabilistic Graphical Models. Fort Belvoir, VA: Defense Technical Information Center, October 2014. http://dx.doi.org/10.21236/ada611690.
Full textDavis, William B. Graphical Model Theory for Wireless Sensor Networks. Office of Scientific and Technical Information (OSTI), December 2002. http://dx.doi.org/10.2172/833692.
Full textRay, Avik, Sujay Sanghavi, and Sanjay Shakkottai. Greedy Learning of Graphical Models with Small Girth. Fort Belvoir, VA: Defense Technical Information Center, January 2013. http://dx.doi.org/10.21236/ada599141.
Full textChernozhukov, Victor, Martin Spindler, Jannis Kück, and Sven Klaassen. Uniform inference in high-dimensional Gaussian graphical models. The IFS, June 2019. http://dx.doi.org/10.1920/wp.cem.2019.2919.
Full textKedem, B. A Graphical Similarity Measure for Time Series Models. Fort Belvoir, VA: Defense Technical Information Center, April 1985. http://dx.doi.org/10.21236/ada158869.
Full textMoura, Jose M. Distributed Sensing and Processing: A Graphical Model Approach. Fort Belvoir, VA: Defense Technical Information Center, November 2005. http://dx.doi.org/10.21236/ada455686.
Full textGosselin, Mark S., R. B. Taylor, and Kenneth R. Craig. Representation of Hydrodynamic Model Results through Graphical Displays. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ad1003878.
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