Academic literature on the topic 'Embedded visualization'
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Journal articles on the topic "Embedded visualization"
Tang, Tan, Junxiu Tang, Jiewen Lai, Lu Ying, Yingcai Wu, Lingyun Yu, and Peiran Ren. "SmartShots: An Optimization Approach for Generating Videos with Data Visualizations Embedded." ACM Transactions on Interactive Intelligent Systems 12, no. 1 (March 31, 2022): 1–21. http://dx.doi.org/10.1145/3484506.
Full textGarth, Christoph, Alexander Wiebel, Xavier Tricoche, Ken Joy, and Gerik Scheuermann. "Lagrangian Visualization of Flow-Embedded Surface Structures." Computer Graphics Forum 27, no. 3 (May 2008): 1007–14. http://dx.doi.org/10.1111/j.1467-8659.2008.01236.x.
Full textBarral, Oswald, SÉbastien LallÉ, Alireza Iranpour, and Cristina Conati. "Effect of Adaptive Guidance and Visualization Literacy on Gaze Attentive Behaviors and Sequential Patterns on Magazine-Style Narrative Visualizations." ACM Transactions on Interactive Intelligent Systems 11, no. 3-4 (December 31, 2021): 1–46. http://dx.doi.org/10.1145/3447992.
Full textWang, Yan, Mingyu Sun, Ning Hu, Sentao Liu, and Juncheng Si. "An Embedded Visualization Method through Temporal Bibliographic Analysis." Journal of Physics: Conference Series 1314 (October 2019): 012174. http://dx.doi.org/10.1088/1742-6596/1314/1/012174.
Full textNedjah, Nadia, Felipe Maia Galvão França, and Luiza de Macedo Mourelle. "Editorial Embedded Software Design for 3D Graphics Visualization." Journal of Systems Architecture 59, no. 3 (March 2013): 165. http://dx.doi.org/10.1016/j.sysarc.2013.03.012.
Full textWeirich, Thomas R., Norbert Tschakert, and Stephen Kozlowski. "Teaching Data Analytics Skills in Auditing Classes Using Tableau." Journal of Emerging Technologies in Accounting 15, no. 2 (September 1, 2018): 137–50. http://dx.doi.org/10.2308/jeta-52264.
Full textRadecki, Andrzej, and Tomasz Rybicki. "An Accurate State Visualization of Multiplexed and PWM Fed Peripherals in the Virtual Simulators of Embedded Systems." Applied Sciences 12, no. 6 (March 18, 2022): 3137. http://dx.doi.org/10.3390/app12063137.
Full textKeswani, Hrishikesh, Krishit Shah, Hritik Hassani, Moses Gadkar, and Er Manoj Kavedia. "Data Visualization and Analysis of COVID-19 Data." International Journal for Research in Applied Science and Engineering Technology 10, no. 10 (October 31, 2022): 1328–37. http://dx.doi.org/10.22214/ijraset.2022.47179.
Full textMIYAZAKI, Hiroshi. "Visualization of the deformation of fibroblasts embedded in collagen matrices." Journal of the Visualization Society of Japan 28-1, no. 1 (2008): 331. http://dx.doi.org/10.3154/jvs.28.331.
Full textSetty, Sudarshan, Ricardo Bello, and Jonathan D. Leff. "Intraoperative Epicardial Ultrasound Probe for Visualization of Embedded Coronary Arteries." Seminars in Cardiothoracic and Vascular Anesthesia 18, no. 1 (December 16, 2013): 71–73. http://dx.doi.org/10.1177/1089253213516804.
Full textDissertations / Theses on the topic "Embedded visualization"
Pantovic, Josip. "Automated Data Dependency Visualization for Embedded Systems Programmed in C." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143228.
Full textSupiratana, Panon. "Graphical visualization and analysis tool of data entities in embedded systems engineering." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-10428.
Full textA Data-Entity Approach for Component-Based Real-Time Embedded Systems Development
Dalton, Andrew R. "Analysis, instrumentation, and visualization of embedded network systems a testbed-based approach /." Connect to this title online, 2008. http://etd.lib.clemson.edu/documents/1219849076/.
Full textYao, Lijie. "Situated Visualization in Motion." Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG093.
Full textIn my thesis, I define visualization in motion and make several contributions to how to visualize and design situated visualizations in motion. In situated data visualization, the data is directly visualized near their data referent, i.e., the physical space, object, or person it refers to. Situated visualizations are often useful in contexts where the data referent or the viewer does not remain stationary but is in relative motion. For example, a runner is looking at visualizations from their fitness band while running or from a public display as they are passing it by. Reading visualizations in such scenarios might be impacted by motion factors. As such, understanding how to best design visualizations for dynamic contexts is important. That is, effective and visually stable situated data encodings need to be defined and studied when motion factors are involved. As such, I first define visualization in motion as visual data representations used in contexts that exhibit relative motion between a viewer and an entire visualization. I classify visualization in motion into 3 categories: (a) moving viewer & stationary visualization, (b) moving visualization & stationary viewer, and (c) moving viewer & moving visualization. To analyze the opportunities and challenges of designing visualization in motion, I propose a research agenda. To explore to what extent viewers can accurately read visualization in motion, I conduct a series of empirical perception studies on magnitude proportion estimation. My results show that people can get reliable information from visualization in motion, even if at high speed and under irregular trajectories. Based on my perception results, I move toward answering the question of how to design and embed visualization in motion in real contexts. I pick up swimming as an application scenario because swimming has rich, dynamic data. I implement a technology probe that allows users to embed visualizations in motion in a live swimming video. Users can adjust in real-time visual encoding parameters, the movement status, and the situatedness of visualization. The visualizations encode real swimming race-related data. My evaluation with designers confirms that designing visualizations in motion requires more than what traditional visualization toolkits provide: the visualization needs to be placed in-context (e.g., its data referent, its background) but also needs to be previewed under its real movement. The full context with motion effects can affect design decisions. After that, I continue my work to understand the impact of the context on the design of visualizations in motion and its user experience. I select video games as my test platform, in which visualizations in motion are placed in a busy, dynamic background but need to help players make quick decisions to win. My study shows there are trade-offs between visualization's readability under motion and aesthetics. Participants seek a balance between the readability of visualization, the aesthetic fitting to the context, the immersion experience the visualization brings, the support the visualization can provide for a win, and the harmony between the visualization and its context
Pernikář, Aleš. "Automatická kontrola kvality software na embedded zařízení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400645.
Full textSjödin, Erik. "Pixgis : An Application for Map-centric Management of Photographs with Embedded Spatial Metadata." Thesis, Linköping University, Department of Science and Technology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8002.
Full textThis thesis presents Pixgis; a novel application for map-centric management of photographs. In short Pixgis is an interactive environment in which photographs may be discovered, viewed and managed through maps. With Pixgis finding photographs from a specific location or of a particular structure is as easy as finding the location or structure on a map. As Pixgis simultaneously displays maps, photographs and spatial metadata it also enables users to analyze photographs in new manners. This thesis work illustrates the benefits of applications for map-centric management of photographs, exposes the problems one faces when implementing such applications and presents novel solutions to many of these problems. The thesis also elaborates on spatial metadata and methods for acquisition of photographs with embedded spatial metadata.
Conley, Thomas A. "Effective Programmatic Analysis of Network Flow Data for Security and Visualization using Higher-order Statistics and Domain Specific Embedded Languages." Ohio University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1336482912.
Full textFeuillet, Rémi. "Embedded and high-order meshes : two alternatives to linear body-fitted meshes." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLY010/document.
Full textThe numerical simulation of complex physical phenomenons usually requires a mesh. In Computational Fluid Dynamics, it consists in representing an object inside a huge control volume. This object is then the subject of some physical study. In general, this object and its bounding box are represented by linear surface meshes and the intermediary zone is filled by a volume mesh. The aim of this thesis is to have a look on two different approaches for representing the object. The first approach called embedded method consist in integrally meshing the bounding box volume without explicitly meshing the object in it. In this case, the presence of the object is implicitly simulated by the CFD solver. The coupling of this method with linear mesh adaptation is in particular discussed.The second approach called high-order method consist on the contrary by increasing the polynomial order of the surface mesh of the object. The first step is therefore to generate a suitable high-order mesh and then to propagate the high-order information in the neighboring volume if necessary. In this context, it is mandatory to make sure that such modifications are valid and then the extension of classic mesh modification techniques has to be considered
Szalay, Patrik. "Realizace terminálu pro vzdálenou vizualizaci a ovládání obytného domu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-316380.
Full textDosimont, Damien. "Agrégation spatiotemporelle pour la visualisation de traces d'exécution." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAM075/document.
Full textTrace visualization techniques are commonly used by developers to understand, debug, and optimize their applications.Most of the analysis tools contain spatiotemporal representations, which is composed of a time line and the resources involved in the application execution. These techniques enable to link the dynamic of the application to its structure or its topology.However, they suffer from scalability issues and are incapable of providing overviews for the analysis of huge traces that have at least several Gigabytes and contain over a million of events. This is caused by screen size constraints, performance that is required for a efficient interaction, and analyst perceptive and cognitive limitations. Indeed, overviews are necessary to provide an entry point to the analysis, as recommended by Shneiderman's emph{mantra} - Overview first, zoom and filter, then details-on-demand -, a guideline that helps to design a visual analysis method.To face this situation, we elaborate in this thesis several scalable analysis methods based on visualization. They represent the application behavior both over the temporal and spatiotemporal dimensions, and integrate all the steps of Shneiderman's mantra, in particular by providing the analyst with a synthetic view of the trace.These methods are based on an aggregation method that reduces the representation complexity while keeping the maximum amount of information. Both measures are expressed using information theory measures. We determine which parts of the system to aggregate by satisfying a trade-off between these measures; their respective weights are adjusted by the user in order to choose a level of details. Solving this trade off enables to show the behavioral heterogeneity of the entities that compose the analyzed system. This helps to find anomalies in embedded multimedia applications and in parallel applications running on a computing grid.We have implemented these techniques into Ocelotl, an analysis tool developed during this thesis. We designed it to be capable to analyze traces containing up to several billions of events. Ocelotl also proposes effective interactions to fit with a top-down analysis strategy, like synchronizing our aggregated view with more detailed representations, in order to find the sources of the anomalies
Books on the topic "Embedded visualization"
G, Heiden Charles, Holden William T, and U.S. Army Research Institute for the Behavioral and Social Sciences., eds. Battle Command Visualization 101: Prototype embedded training on networked sensors. Alexandria, Va: U.S. Army Research Institute for the Behavioral and Social Sciences, 2004.
Find full textKim, Moon S. Defense and security 2008: Special sessions on food safety, visual analytics, resource restricted embedded and sensor networks, and 3D imaging and display : 17-18 March 2008, Orlando, Florida, USA. Edited by Society of Photo-optical Instrumentation Engineers. Bellingham, Wash: SPIE, 2008.
Find full textA Framework for Effective Algorithm Visualization Using Animation- Embedded Hypermedia. Storming Media, 1999.
Find full textBattle Command Visualization 101: Prototype Embedded Training on Networked Sensors. Storming Media, 2004.
Find full textA near term approach to embedded training: Battle command visualization 101. Arlington, Va: U.S. Army Research Institute for the Behavioral and Social Sciences, 2006.
Find full textBeeston, Alix. Black Flesh Is White Ash. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190690168.003.0003.
Full textBi, Xiaojun, Andrew Howes, Per Ola Kristensson, Antti Oulasvirta, and John Williamson. Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.003.0001.
Full textVernallis, Carol, Amy Herzog, and John Richardson, eds. The Oxford Handbook of Sound and Image in Digital Media. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199757640.001.0001.
Full textBook chapters on the topic "Embedded visualization"
Evstiougov-Babaev, exander A. "Call Graph and Control Flow Graph Visualization for Developers of Embedded Applications." In Software Visualization, 337–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45875-1_26.
Full textVijayakumar, Thurupathan. "Data Visualization with Power BI Embedded." In Practical Azure Application Development, 175–90. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2817-3_8.
Full textZhang, Li, Ming Jing, and Yongli Zhou. "Embedded Temporal Visualization of Collaboration Networks." In Advances in Multimedia Information Processing – PCM 2018, 89–98. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00764-5_9.
Full textSahoo, Pracheta, Ujwal Gadiraju, Ran Yu, Sriparna Saha, and Stefan Dietze. "Analysing Structured Scholarly Data Embedded in Web Pages." In Semantics, Analytics, Visualization. Enhancing Scholarly Data, 90–100. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-53637-8_10.
Full textNishino, Yosuke, and Eiichi Hayakawa. "Minato: Integrated Visualization Environment for Embedded Systems Learning." In Lecture Notes in Computer Science, 325–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02559-4_36.
Full textVijh, Surbhi, Shilpi Sharma, and Prashant Gaurav. "Brain Tumor Segmentation Using OTSU Embedded Adaptive Particle Swarm Optimization Method and Convolutional Neural Network." In Data Visualization and Knowledge Engineering, 171–94. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25797-2_8.
Full textDandachy, Nancy, Dimitri Plemenos, Safwan Chendeb, and Bachar El Hassan. "A Cutaway Visualization Technique for Understanding Scenes with Embedded Objects." In Intelligent Computer Graphics 2010, 25–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15690-8_2.
Full textChou, Pai H., Chong-Jing Chen, Stephen F. Jenks, and Sung-Jin Kim. "HiperSense: An Integrated System for Dense Wireless Sensing and Massively Scalable Data Visualization." In Software Technologies for Embedded and Ubiquitous Systems, 252–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10265-3_23.
Full textBravo, J., R. Hervás, G. Chavira, and S. Nava. "Mosaics of Visualization: An Approach to Embedded Interaction Through Identification Process." In Lecture Notes in Computer Science, 41–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11863649_6.
Full textDuke, D. J., R. Borgo, M. Wallace, and C. Runciman. "Huge Data But Small Programs: Visualization Design via Multiple Embedded DSLs." In Practical Aspects of Declarative Languages, 31–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-92995-6_3.
Full textConference papers on the topic "Embedded visualization"
Whitaker, Ross T., and David Chen. "Embedded active surfaces for volume visualization." In Medical Imaging 1994, edited by Murray H. Loew. SPIE, 1994. http://dx.doi.org/10.1117/12.175068.
Full textBeniani, Manuel, Mariagiovanna Sami, and Danilo Pietro Pau. "MRI parallel processing for embedded visualization." In 2013 IEEE Third International Conference on Consumer Electronics ¿ Berlin (ICCE-Berlin). IEEE, 2013. http://dx.doi.org/10.1109/icce-berlin.2013.6697962.
Full textRaji, Mohammad, Alok Hota, and Jian Huang. "Scalable web-embedded volume rendering." In 2017 IEEE 7th Symposium on Large Data Analysis and Visualization (LDAV). IEEE, 2017. http://dx.doi.org/10.1109/ldav.2017.8231850.
Full textYang, Yalong, and Sarah Goodwin. "What-Why Analysis of Expert Interviews: Analysing Geographically-Embedded Flow Data." In 2019 IEEE Pacific Visualization Symposium (PacificVis). IEEE, 2019. http://dx.doi.org/10.1109/pacificvis.2019.00022.
Full textTeuho, Mikko, Esko Pekkarinen, and Timo Hamalainen. "Visualization of Memory Map Information in Embedded System Design." In 2018 21st Euromicro Conference on Digital System Design (DSD). IEEE, 2018. http://dx.doi.org/10.1109/dsd.2018.00040.
Full textZhibin, Yu, Gi-Beom Kil, Yong-do Choi, and Sung-ho Kim. "Traffic classification based on visualization." In 2011 IEEE 2nd International Conference on Networked Embedded Systems for Enterprise Applications (NESEA). IEEE, 2011. http://dx.doi.org/10.1109/nesea.2011.6144947.
Full textWnuk, Krzysztof, Björn Regnell, and Lena Karlsson. "Visualization of Feature Survival in Platform-Based Embedded Systems Development for Improved Understanding of Scope Dynamics." In 2008 Requirements Engineering Visualization (REV). IEEE, 2008. http://dx.doi.org/10.1109/rev.2008.6.
Full textFilipovic, Nemanja, Radovan Stojanovic, Matjaz Debevc, and Goran Devedzic. "On line ECG processing and visualization using android SmartPhone." In 2013 2nd Mediterranean Conference on Embedded Computing (MECO). IEEE, 2013. http://dx.doi.org/10.1109/meco.2013.6601326.
Full textPark, Joonho, Jaeho Jang, Sandeok Park, and Sungjin Park. "Training System for Embedded Wireless Communications." In Visualization, Imaging and Image Processing / 783: Modelling and Simulation / 784: Wireless Communications. Calgary,AB,Canada: ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.784-032.
Full textBeck, Fabian, Fabrice Hollerich, Stephan Diehl, and Daniel Weiskopf. "Visual monitoring of numeric variables embedded in source code." In 2013 First IEEE Working Conference on Software Visualization (VISSOFT). IEEE, 2013. http://dx.doi.org/10.1109/vissoft.2013.6650545.
Full textReports on the topic "Embedded visualization"
Lickteig, Carl W., Charles G. Heiden, William T. Holden, and Jr. Battle Command Visualization 101: Prototype Embedded Training on Networked Sensors. Fort Belvoir, VA: Defense Technical Information Center, December 2004. http://dx.doi.org/10.21236/ada429188.
Full textSnellman, Abigail, David Hull, Brandon Parks, and Kevin Claytor. DEVCOM Army Research Laboratory Visualization and Processing for Embedded Research Systems (ARL-ViPERS) User Manual. DEVCOM Army Research Laboratory, August 2023. http://dx.doi.org/10.21236/ad1208212.
Full textRitter, John J., Zachary Wingard, Tony Canami, and Andrew McBain. Visualization and Measurement of the Burning Surface of Wire-Embedded Energetic Materials, Part 1: JA2 and Pentolite. Fort Belvoir, VA: Defense Technical Information Center, June 2014. http://dx.doi.org/10.21236/ada606477.
Full textMurphy, Joe J., Michael A. Duprey, Robert F. Chew, Paul P. Biemer, Kathleen Mullan Harris, and Carolyn Tucker Halpern. Interactive Visualization to Facilitate Monitoring Longitudinal Survey Data and Paradata. RTI Press, May 2019. http://dx.doi.org/10.3768/rtipress.2019.op.0061.1905.
Full textBalyk, Nadiia, Yaroslav Vasylenko, Vasyl Oleksiuk, and Galina Shmyger. Designing of Virtual Cloud Labs for the Learning Cisco CyberSecurity Operations Course. [б. в.], June 2019. http://dx.doi.org/10.31812/123456789/3177.
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