Academic literature on the topic 'Visualisation methods'
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Journal articles on the topic "Visualisation methods"
Čopar, Simon, Tine Porenta, and Slobodan Žumer. "Visualisation methods for complex nematic fields." Liquid Crystals 40, no. 12 (December 2013): 1759–68. http://dx.doi.org/10.1080/02678292.2013.853109.
Full textBenger, W., B. Bohara, and M. Ritter. "Systematic visualisation methods for material sciences." Materials Science and Technology 32, no. 4 (March 3, 2016): 356–65. http://dx.doi.org/10.1179/1743284715y.0000000065.
Full textCraven, MP, R. Goodwin, M. Rawsthorne, D. Butler, P. Waddingham, S. Brown, and M. Jamieson. "Try to see it my way: exploring the co-design of visual presentations of wellbeing through a workshop process." Perspectives in Public Health 139, no. 3 (April 8, 2019): 153–61. http://dx.doi.org/10.1177/1757913919835231.
Full textGibson, Helen, Joe Faith, and Paul Vickers. "A survey of two-dimensional graph layout techniques for information visualisation." Information Visualization 12, no. 3-4 (September 5, 2012): 324–57. http://dx.doi.org/10.1177/1473871612455749.
Full textDrakopoulos, V. "Sequential visualisation methods for the Mandelbrot set." Journal of Computational Methods in Sciences and Engineering 10, no. 1-2 (November 19, 2010): 37–45. http://dx.doi.org/10.3233/jcm-2010-0286.
Full textDong, Yinlin, and Wufeng Tian. "On the thresholds of vortex visualisation methods." International Journal of Computational Fluid Dynamics 34, no. 4 (April 15, 2020): 267–77. http://dx.doi.org/10.1080/10618562.2020.1745781.
Full textAlcíbar, Miguel. "Information visualisation as a resource for popularising the technical-biomedical aspects of the last Ebola virus epidemic: The case of the Spanish reference press." Public Understanding of Science 27, no. 3 (April 10, 2017): 365–81. http://dx.doi.org/10.1177/0963662517702047.
Full textGrove, Matt, and Jessica Pearson. "Visualisation and permutation methods for archaeological data analysis." Archaeological and Anthropological Sciences 6, no. 4 (September 20, 2013): 319–28. http://dx.doi.org/10.1007/s12520-013-0158-z.
Full textFabrika, Marek, Peter Valent, and Katarína Merganičová. "Forest modelling and visualisation – state of the art and perspectives." Central European Forestry Journal 65, no. 3-4 (September 1, 2019): 147–65. http://dx.doi.org/10.2478/forj-2019-0018.
Full textAllen, William. "Making corpus data visible: visualising text with research intermediaries." Corpora 12, no. 3 (November 2017): 459–82. http://dx.doi.org/10.3366/cor.2017.0128.
Full textDissertations / Theses on the topic "Visualisation methods"
Biddiscombe, John A. "Dataflow methods in HPC, visualisation and analysis." Thesis, University of Warwick, 2017. http://wrap.warwick.ac.uk/103415/.
Full textFernandez, Comesana Daniel. "Scan-based sound visualisation methods using sound pressure and particle velocity." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/366935/.
Full textLi, Katie. "Examining the use of visualisation methods for the design of interactive systems." Thesis, Cranfield University, 2016. http://dspace.lib.cranfield.ac.uk/handle/1826/11495.
Full textNovak, Matej. "Quantitative methods for the measurement and monitoring of mixing flows using a computer vision system." Thesis, University of Hertfordshire, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369766.
Full textBerres, Anne Sabine [Verfasser], and Hans [Akademischer Betreuer] Hagen. "Discrete Geometric Methods for Surface Deformation and Visualisation / Anne Sabine Berres. Betreuer: Hans Hagen." Kaiserslautern : Technische Universität Kaiserslautern, 2015. http://d-nb.info/1078017263/34.
Full textBergquist, Jørgen, and Helge Titlestad. "Analysis of fibre cross sections : Developing methods for image processing and visualisation utilising the GPU." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9466.
Full textModern graphics processing units, GPUs, have evolved into high-performance processors with programmable vertex and pixel shaders. With these new abilities a new subfield of research, dubbed GPGPU for General Purpose computing on the GPU has emerged, in areas as oil exploration, processing of sound effects, neural networks, cryptography and image processing. As the GPUs functionality and performance are still increasing, more programmers are appealed by their computational power. To understand the performance of paper materials a detailed characterisation of the fibre cross-sections is necessary. Using scanning electron microscopy, SEM, fibres embedded in epoxy are depicted. These images have to be analysed and quantified. In this master thesis we explore the possibility of taking advantage of todays generation of GPUs performance when analysing digital images of fibre cross-sections. We implemented common algorithms such as the median filter, the SUSAN smoothing filter and various mathematical morphology operations using the high-level shader language OpenGL Shader Language, GLSL. When measured against equivalent image processing opreations run on the CPU, we have found our GPU solution to perform about the same. The operations run much faster on the GPU, but due to overhead of binding FBOs, intialising shader programs and transfering data between the CPU and the GPU, the end result is about the same on the GPU and CPU implementations. We have deliberatly worked with commodity hardware to see what one can gain with just replacing the graphics card in the engineer's PCs. With newer hardware the results would tilt heavily towards the GPU implementations. We have concluded that making a paper fibre cross-section analysis program based on GPU image processing with commodity hardware is indeed feasible, and would give some benefits to the user interactivity. But it is also harder to implement because the field is still young, with immature compilers and debugging tools and few solid libraries.
Frössling, Leo, and Oskar Hernberg. "Development of Visualisation Methods and User Interface for Analysis of Call Flows in Communication Services." Thesis, KTH, Hälsoinformatik och logistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278068.
Full textSammanfattningMed det snabba ökandet av bandbredd och komplexitet i kommunikationsföretagensnätverk så finns det ett behov av effektiv felsökning och underhåll av deras nätverk.Effektiv felsökning och underhåll av nätverket bidrar till färre problem i nätverket,vilket i sin tur ger högre kundtillfredsställelse. Ett viktigt verktyg när detkommer till felsökningen är visualiseringen utav samtalsflöden och meddelanden.Det här examensarbetets mål är att jämföra olika metoder för visualisering utav samtalsflödenoch meddelanden i ett nätverk för kommunikationstjänster. Två mockupsskapades för visualisering av samtalsströmmar och två för visualisering av meddelanden.Dessa mock-ups evaluerades genom heuristiskevaluering samt användarbaseradevaluering. Dessa mock-ups reviderades sedan utifrån den information somsamlats från evalueringarna. Resultatet av detta examensarbete tyder på att en implementationbör använda ett sekvensdiagram för visualisering av samtalsflöden tillsammansmed en hierarkisk vy för visualisering av meddelanden.NyckelordSamtalsflöden, visualisering, användargränssnitt, kommunikationstjänster,heuristik, sekvensdiagram, hierarkisk vy, tabellvy, träddiagram
Mambretti, Isabella Margherita. "Urban parks between safety and aesthetics : exploring urban green space using visualisation and conjoint analysis methods /." Zürich : ETH / Institut für Raum- und Landschaftsentwicklung, 2007. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17071.
Full textGariba, Munir Antonio. "Visualisation methods for the analysis of blood flow using magnetic resonance imaging and computational fluid dynamics." Thesis, Imperial College London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322530.
Full textAyllón-Benítez, Aarón. "Development of new computational methods for a synthetic gene set annotation." Thesis, Bordeaux, 2019. http://www.theses.fr/2019BORD0305.
Full textThe revolution in new sequencing technologies, by strongly improving the production of omics data, is greatly leading to new understandings of the relations between genotype and phenotype. To interpret and analyze data grouped according to a phenotype of interest, methods based on statistical enrichment became a standard in biology. However, these methods synthesize the biological information by a priori selecting the over-represented terms and focus on the most studied genes that may represent a limited coverage of annotated genes within a gene set. During this thesis, we explored different methods for annotating gene sets. In this frame, we developed three studies allowing the annotation of gene sets and thus improving the understanding of their biological context.First, visualization approaches were applied to represent annotation results provided by enrichment analysis for a gene set or a repertoire of gene sets. In this work, a visualization prototype called MOTVIS (MOdular Term VISualization) has been developed to provide an interactive representation of a repertoire of gene sets combining two visual metaphors: a treemap view that provides an overview and also displays detailed information about gene sets, and an indented tree view that can be used to focus on the annotation terms of interest. MOTVIS has the advantage to solve the limitations of each visual metaphor when used individually. This illustrates the interest of using different visual metaphors to facilitate the comprehension of biological results by representing complex data.Secondly, to address the issues of enrichment analysis, a new method for analyzing the impact of using different semantic similarity measures on gene set annotation was proposed. To evaluate the impact of each measure, two relevant criteria were considered for characterizing a "good" synthetic gene set annotation: (i) the number of annotation terms has to be drastically reduced while maintaining a sufficient level of details, and (ii) the number of genes described by the selected terms should be as large as possible. Thus, nine semantic similarity measures were analyzed to identify the best possible compromise between both criteria while maintaining a sufficient level of details. Using GO to annotate the gene sets, we observed better results with node-based measures that use the terms’ characteristics than with edge-based measures that use the relations terms. The annotation of the gene sets achieved with the node-based measures did not exhibit major differences regardless of the characteristics of the terms used. Then, we developed GSAn (Gene Set Annotation), a novel gene set annotation web server that uses semantic similarity measures to synthesize a priori GO annotation terms. GSAn contains the interactive visualization MOTVIS, dedicated to visualize the representative terms of gene set annotations. Compared to enrichment analysis tools, GSAn has shown excellent results in terms of maximizing the gene coverage while minimizing the number of terms.At last, the third work consisted in enriching the annotation results provided by GSAn. Since the knowledge described in GO may not be sufficient for interpreting gene sets, other biological information, such as pathways and diseases, may be useful to provide a wider biological context. Thus, two additional knowledge resources, being Reactome and Disease Ontology (DO), were integrated within GSAn. In practice, GO terms were mapped to terms of Reactome and DO, before and after applying the GSAn method. The integration of these resources improved the results in terms of gene coverage without affecting significantly the number of involved terms. Two strategies were applied to find mappings (generated or extracted from the web) between each new resource and GO. We have shown that a mapping process before computing the GSAn method allowed to obtain a larger number of inter-relations between the two knowledge resources
Books on the topic "Visualisation methods"
Rozenblat, Céline, and Guy Melançon, eds. Methods for Multilevel Analysis and Visualisation of Geographical Networks. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6677-8.
Full textRozenblat, Céline. Methods for Multilevel Analysis and Visualisation of Geographical Networks. Dordrecht: Springer Netherlands, 2013.
Find full textKoukoudakis, Alexandros. Visualisation decision algorithm for temporal database management system. Manchester: UMIST, 1996.
Find full textSchäfer, Mirko Tobias, and Karin Es, eds. The Datafied Society. NL Amsterdam: Amsterdam University Press, 2017. http://dx.doi.org/10.5117/9789462987173.
Full textHanks, Kurt. Rapid viz: A new method for the rapid visualization of ideas. Los Altos, CA: Crisp Publications, 1990.
Find full text1949-, Belliston Larry, ed. Rapid viz: A new method for the rapid visualization of ideas. 3rd ed. Boston, Mass: Thomson Course Technology PTR, 2006.
Find full textTurdukulov, Ulanbek Duyshokovich. Visualizing the evolution of image features in time-series: Supporting the exploration of sensor data = Visualisatie van veranderende objecten in multitemporele beelden : ondersteuning van de exploratie van sensor gegevens. Utrecht: Universiteit Utrecht, 2007.
Find full textFarebrother, R. W. Visualizing statistical models and concepts. New York: Marcel Dekker, 2002.
Find full textRozenblat, Céline, and Guy Melançon. Methods for Multilevel Analysis and Visualisation of Geographical Networks. Springer, 2013.
Find full textBook chapters on the topic "Visualisation methods"
Dawson, Catherine. "Data visualisation." In A–Z of Digital Research Methods, 86–92. Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9781351044677-14.
Full textChristensen, Marie, and Bettina Lamm. "Morgana: From Vision to Visualisation." In Production Methods, 249–69. London: Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-0063-8_12.
Full textVeiga-Fernandes, Henrique, Katie Foster, Amisha Patel, Mark Coles, and Dimitris Kioussis. "Visualisation of Lymphoid Organ Development." In Methods in Molecular Biology, 161–79. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60761-461-6_11.
Full textCarlin, Leo M., Konstantina Makrogianneli, Melanie Keppler, Gilbert O. Fruhwirth, and Tony Ng. "Visualisation of Signalling in Immune Cells." In Methods in Molecular Biology, 97–113. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60761-461-6_7.
Full textGraham, Helen K., Alexander Eckersley, Matiss Ozols, Kieran T. Mellody, and Michael J. Sherratt. "Human Skin: Composition, Structure and Visualisation Methods." In Studies in Mechanobiology, Tissue Engineering and Biomaterials, 1–18. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13279-8_1.
Full textSenaratne, Hansi, Lydia Gerharz, Edzer Pebesma, and Angela Schwering. "Usability of Spatio-Temporal Uncertainty Visualisation Methods." In Lecture Notes in Geoinformation and Cartography, 3–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29063-3_1.
Full textDévai, Frank. "Scan-Line Methods for Parallel Rendering." In High Performance Computing for Computer Graphics and Visualisation, 88–98. London: Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-1011-8_7.
Full textStampach, Radim, Milan Konecny, Petr Kubicek, and Edvard Geryk. "Dynamic Cartographic Methods for Visualisation of Health Statistics." In Lecture Notes in Geoinformation and Cartography, 431–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03294-3_27.
Full textManiak, Tomasz, Rahat Iqbal, and Faiyaz Doctor. "Traffic Modelling, Visualisation and Prediction for Urban Mobility Management." In Advances in Hybridization of Intelligent Methods, 57–70. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66790-4_4.
Full textKennedy, Helen, and William Allen. "Data Visualisation as an Emerging Tool for Online Research." In The SAGE Handbook of Online Research Methods, 307–26. 1 Oliver's Yard, 55 City Road London EC1Y 1SP: SAGE Publications Ltd, 2017. http://dx.doi.org/10.4135/9781473957992.n18.
Full textConference papers on the topic "Visualisation methods"
Negru, Iuliana-Valentina. "Visualisation Methods for Geodemographic Transformations." In 2015 20th International Conference on Control Systems and Computer Science (CSCS). IEEE, 2015. http://dx.doi.org/10.1109/cscs.2015.86.
Full textCoudres, Kira de. "Methods of Ontological Remix." In Electronic Visualisation and the Arts. BCS Learning & Development, 2016. http://dx.doi.org/10.14236/ewic/eva2016.20.
Full textCosta, Jose Alfredo F., and Hujun Yin. "Gradient-based SOM clustering and visualisation methods." In 2010 International Joint Conference on Neural Networks (IJCNN). IEEE, 2010. http://dx.doi.org/10.1109/ijcnn.2010.5596623.
Full textKlemm, Gerrit, D. Alan Ervine, and Andrey B. Shvidchenko. "Three-Dimensional Flow Visualisation in Open Channel Flow." In Hydraulic Measurements and Experimental Methods Specialty Conference (HMEM) 2002. Reston, VA: American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40655(2002)99.
Full textHayez, Quantin, Bertrand Mareschal, and Yves De Smet. "New GAIA Visualization Methods." In 2009 13th International Conference Information Visualisation, IV. IEEE, 2009. http://dx.doi.org/10.1109/iv.2009.15.
Full textPodor, Andrea. "INVESTIGATION OF DIFFERENT VISUALISATION METHODS FOR CRIME MAPPING." In 14th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING. Stef92 Technology, 2014. http://dx.doi.org/10.5593/sgem2014/b23/s11.089.
Full textWang, Tzai Der, Xiaochuan Wu, and Colin Fyfe. "Comparative study of visualisation methods for temporal data." In 2012 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2012. http://dx.doi.org/10.1109/cec.2012.6253005.
Full textDRAKOPOULOS, V. "COMPARING SEQUENTIAL VISUALISATION METHODS FOR THE MANDELBROT SET." In Proceedings of the International Conference (ICCMSE 2003). WORLD SCIENTIFIC, 2003. http://dx.doi.org/10.1142/9789812704658_0033.
Full textBrowell, Jethro, and Ciaran Gilbert. "ProbCast: Open-source Production, Evaluation and Visualisation of Probabilistic Forecasts." In 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE, 2020. http://dx.doi.org/10.1109/pmaps47429.2020.9183441.
Full textJanjusevic, Tijana, and Ebroul Izquierdo. "Layout Methods for Intuitive Partitioning of Visualization Space." In 2008 12th International Conference Information Visualisation (IV). IEEE, 2008. http://dx.doi.org/10.1109/iv.2008.55.
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