Academic literature on the topic 'JGraph'

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Journal articles on the topic "JGraph"

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Jaramillo Zambrano, James Gabriel, and Carlos Gabriel Londoño. "Desarrollo e implementación de una herramienta informática que permita la representación gráfica de la estructura semántico conceptual (ESC) Inmersa en el modelo de pedagogía conceptual (PC): Dirigida al cuerpo docente de las fundaciones educativas Arqui." Revista de Ingeniería, Innovación y Desarrollo 1, no. 1 (2019): 35–42. http://dx.doi.org/10.18041/2539-3359/riid.1.5276.

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El presente modelo constituye la presentación estructural básica del proyecto para la elaboración e implementación de una herramienta de diseño gráfico, enfocada en una representación del modelo de Pedagogía Conceptual (PC), el “mentefacto conceptual”. La herramienta se diseñó y desarrolló bajo el modelo ADDPpPc (Galvis, 2001), modelada en UML y construida en lenguaje de programación JAVA, usando la librería JGraph. Por ser una herramienta de diseño gráfico dirigida a docentes, se implementó y validó por profesores cuyas instituciones trabajan con el modelo de Pedagogía Conceptual; para lo cual se estructuró una secuencia didáctica apoyada en el LMS Moodle, como estrategia de incorporación de la herramienta.
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Cross, James H., and T. Dean Hendrix. "jGRASP." ACM SIGCSE Bulletin 38, no. 3 (2006): 356. http://dx.doi.org/10.1145/1140123.1140266.

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Miller, Alexander, Stuart Reges, and Allison Obourn. "jGRASP." ACM Inroads 8, no. 4 (2017): 53–58. http://dx.doi.org/10.1145/3148562.

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Michail, Dimitrios, Joris Kinable, Barak Naveh, and John V. Sichi. "JGraphT—A Java Library for Graph Data Structures and Algorithms." ACM Transactions on Mathematical Software 46, no. 2 (2020): 1–29. http://dx.doi.org/10.1145/3381449.

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Formetta, G., S. K. Kampf, O. David, and R. Rigon. "The Cache la Poudre river basin snow water equivalent modeling with NewAge-JGrass." Geoscientific Model Development Discussions 6, no. 3 (2013): 4447–74. http://dx.doi.org/10.5194/gmdd-6-4447-2013.

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Abstract. The paper presents a snow water equivalent model as part of the hydrological modeling system NewAge-JGrass. The model take in account of the main physical processes influencing the snow melting (precipitation form separation, melting and freezing modeling) coupled with the snowpack mass conservation equation. The snow melting depends not only on the air temperature but also on the radiation received by the pixel. The model is perfectly integrated in the NewAge-JGrass modeling system and uses many of its components such as shortwave radiation balance, krigings and automatic calibration algorithms. As all the NewAge-JGrass components, the presented model can be executed both in raster and in vector mode and the simulation time step can be daily, hourly or sub-hourly as the user needs. The model is applied on the Cache la Poudre river basin (CO, USA). Three are the applications presented in the paper. Firstly, the simulation of snow water equivalent in three different measurement stations is performed. Model parameters are calibrated and model performances are quantitatively computed by comparing simulated and measured snow water equivalent time series. Indices of goodness of fit such as Kling–Gupta Efficiency, Index of Agreement and Percentage Bias are computed. Secondly, the representativeness of the model parameters in different locations is discussed. Finally a raster mode application is performed: snow water equilvalent maps on the whole Cache la Poudre river are computed. In all the applications the model performance are satisfactory in term of goodness of fitting measured snow water equivalent time series. The integration of the model in the NewAge-JGrass system allows the used to o enjoy all the component of the system: input data computation, output maps visualizetion in the GIS JGrass, model parameters automatic calibration.
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García-Díaz, Vicente, Edward Rolando Núñez-Valdez, Cristian González García, Alberto Gómez-Gómez, and Rubén González Crespo. "JGraphs: A Toolset to Work with Monte-Carlo Tree Search-Based Algorithms." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 28, Supp02 (2020): 1–22. http://dx.doi.org/10.1142/s0218488520400115.

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Monte-Carlo methods are the basis for solving many computational problems using repeated random sampling in scenarios that may have a deterministic but very complex solution from a computational point of view. In recent years, researchers are using the same idea to solve many problems through the so-called Monte-Carlo Tree Search family of algorithms, which provide the possibility of storing and reusing previously calculated results to improve precision in the calculation of future outcomes. However, developers and researchers working in this area tend to have to carry out software developments from scratch to use their designs or improve designs previously created by other researchers. This makes it difficult to see improvements in current algorithms as it takes a lot of hard work. This work presents JGraphs, a toolset implemented in the Java programming language that will allow researchers to avoid having to reinvent the wheel when working with Monte-Carlo Tree Search. In addition, it will allow testing experiments carried out by others in a simple way, reusing previous knowledge.
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Formetta, G., S. K. Kampf, O. David, and R. Rigon. "Snow water equivalent modeling components in NewAge-JGrass." Geoscientific Model Development 7, no. 3 (2014): 725–36. http://dx.doi.org/10.5194/gmd-7-725-2014.

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Abstract. This paper presents a package of modified temperature-index-based snow water equivalent models as part of the hydrological modeling system NewAge-JGrass. Three temperature-based snow models are integrated into the NewAge-JGrass modeling system and use many of its components such as those for radiation balance (short wave radiation balance, SWRB), kriging (KRIGING), automatic calibration algorithms (particle swarm optimization) and tests of goodness of fit (NewAge-V), to build suitable modeling solutions (MS). Similarly to all the NewAge-JGrass components, the models can be executed both in raster and in vector mode. The simulation time step can be daily, hourly or sub-hourly, depending on user needs and availability of input data. The MS are applied on the Cache la Poudre River basin (CO, USA) using three test applications. First, daily snow water equivalent is simulated for three different measurement stations for two snow model formulations. Second, hourly snow water equivalent is simulated using all the three different snow model formulae. Finally, a raster mode application is performed to compute snow water equivalent maps for the whole Cache la Poudre Basin.
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Sharma, Jitendra, and Shubhra Saxena. "Enhanced JGraphEd Drawing Framework for Graph Drawing Application." International Journal of Computer Applications 81, no. 4 (2013): 11–16. http://dx.doi.org/10.5120/13999-2037.

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Formetta, G., R. Rigon, J. L. Chávez, and O. David. "Modeling shortwave solar radiation using the JGrass-NewAge system." Geoscientific Model Development 6, no. 4 (2013): 915–28. http://dx.doi.org/10.5194/gmd-6-915-2013.

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Abstract. This paper presents two new modeling components based on the object modeling system v3 (OMS3) for the calculation of the shortwave incident radiation (Rsw↓) on complex topography settings, and the implementation of several ancillary tools. The first component, NewAGE-SwRB, accounts for elevation slope, aspect, shadow of the sites, and uses suitable parameterization for obtaining the cloudless irradiance. A second component, NewAGE-DEC-MOD's is implemented to estimate the irradiance reduction due to the presence of clouds according to three parameterizations. To obtain a working modeling composition that is comparable with ground data at measurement stations the two components are connected to a kriging component. With the help of an additional component, NewAGE-V (verification package), the performance of modeled (Rsw↓) is quantitatively evaluated. The two components (and the various parameterizations they contain) are tested using the data from three basins, and some simple verification tests were carried out to assess the goodness of the methods used. Moreover, a raster mode test is performed in order to show the capability of the system in providing solar radiation raster maps. The components are part of a larger system, JGrass-NewAGE, their input and outputs are geometrical objects immediately displayed in a geographical information system (GIS). They can be used seamlessly with the various modeling solutions available in JGrass-NewAGE for the estimation of long wave radiation, evapotranspiration, and snow melting, as well as standalone components to just estimate shortwave radiation for various uses. The modularity of the approach leads to more accurate physical-statistical studies aimed to assess in depth the components' performances and extends their results spatially, without the necessity of recoding any part of the component.
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Formetta, G., R. Rigon, J. L. Chávez, and O. David. "Modeling short wave solar radiation using the JGrass-NewAge System." Geoscientific Model Development Discussions 5, no. 4 (2012): 4355–93. http://dx.doi.org/10.5194/gmdd-5-4355-2012.

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Abstract. This paper presents two new modelling components based on the Object Modelling System v3 for the calculation of the shortwave incident radiation (R^sw↓) on complex topography settings, and the implementation of several ancillary tools. The first component, NewAGE-SwRB, accounts for slope, aspect, shadow and the topographical information of the sites, and use suitable parametrisation for obtaining the cloudless irradiance. A second component, NewAGE-DEC-MOD's is implemented to estimate the irradiance reduction due to the presence of clouds, according to three parameterisations. To obtain a working modelling composition, suitable to be compared with ground data at measurement stations, the two components are connected to a Kriging component, and, with the use of a further component NewAGE-V (verification package), the performance of modeled (R^sw↓) is quantitatively evaluated. The two components (and the various parametrisations they contain) are tested using the data from three basins catchments, and some simple verification test is made to assess the goodness of the methods used. The components are part of a larger system, JGrass-NewAGE, their input and outputs are given as geometrical objects immediately visualisable in a GIS (for instance the companion uDig), and can be used seamlessly with the various modelling solutions available in JGrass-NewAGE for the estimation of long wave radiation, evapotranspiration, and snow melting, as well as stand-alone components to just estimate shortwave radiation for various uses. The modularity of the approach is shown to be extensible to more accurate physical-statistical studies aimed to assess in deep the components performances and extends spatially their results, without the necessity of recoding any part of the component but just making using of connective scripts.
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Dissertations / Theses on the topic "JGraph"

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Risley, Christopher C. "JGraph, a java-compatible visual language." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ39697.pdf.

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Tramnitzke, Danny. "Object Call Graph Visualization." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-1674.

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<p>In this thesis an approach to visualize internal behaviour of object oriented software is developed.</p><p>The runtime information, which can be described as objects calling other objects, is displayed as a graph consisting of nodes and edges. The aim is to design an application in Java, which takes the runtime information in form of an object call graph and visualizes it as a tree and as a force directed view.</p><p>Therefore, first a data model has to be designed, holding an object call sequence. Furthermore, a discussion about graph definition languages and according tools is made. After this different graph layout algorithms are examined as well as graph displaying tools. Finally, the implementation of this visualization program deals with the combination of these three components graph data extraction, graph layout calculation and graph visualization.</p>
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Jain, Jhilmil Cross James H. "User experience design and experimental evaluation of extensible and dynamic viewers for data structures." Auburn, Ala., 2007. http://repo.lib.auburn.edu/2006%20Fall/Dissertations/JAIN_JHILMIL_3.pdf.

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Books on the topic "JGraph"

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JGRAM WORLD. JGRAM Publishing, 2007.

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Book chapters on the topic "JGraph"

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Bagga, Jay, and Adrian Heinz. "JGraph— A Java Based System for Drawing Graphs and Running Graph Algorithms." In Graph Drawing. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45848-4_45.

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Conference papers on the topic "JGraph"

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Cross, James H., and T. Dean Hendrix. "jGRASP." In the 11th annual SIGCSE conference. ACM Press, 2006. http://dx.doi.org/10.1145/1140124.1140266.

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Montgomery, Lacey, James H. Cross, T. Dean Hendrix, and Larry A. Barowski. "Testing the jGRASP structure identifier with data structure examples from textbooks." In the 46th Annual Southeast Regional Conference. ACM Press, 2008. http://dx.doi.org/10.1145/1593105.1593156.

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Cross, James, and Dean Hendrix. "jGRASP: An Integrated Development Environment with Visualizations for Teaching Java in CS1, CS2, and Beyond." In Proceedings. Frontiers in Education. 36th Annual Conference. IEEE, 2006. http://dx.doi.org/10.1109/fie.2006.322706.

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Cross, James, and Dean Hendrix. "Workshop jGRASP: An Integrated Development Environment with Visualizations for Teaching Java in CS1, CS2, and Beyond." In Proceedings. Frontiers in Education. 36th Annual Conference. IEEE, 2006. http://dx.doi.org/10.1109/fie.2006.322748.

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