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Dissertations / Theses on the topic 'Visualization Framework'
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Jankun-Kelly, T. J. "Visualizing Visualization : a model and framework for visualization exploration /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2003. http://uclibs.org/PID/11984.
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Wang, Qin 1977. "Evolve : an extensible software visualization framework." Thesis, McGill University, 2002. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=79200.
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Existing visualization tools typically do not provide a simple mechanism for adding new visualization techniques, and are often coupled with inflexible data input mechanisms. This thesis presents EVolve, a flexible and extensible framework for visualizing program characteristics and behaviour. The framework is flexible in the sense that it can visualize many kinds of data, and it is extensible in the sense that it is quite straightforward to add new kinds of visualizations.The overall architecture of the framework consists of the core EVolve platform that communicates with data sources via a well defined data protocol and which communicates with visualization methods via a visualization protocol.
Given a data source, an end user can use EVolve as a stand-alone tool by interactively creating, configuring and modifying one or more visualizations. A variety of visualizations are provided in the standard EVolve visualization library. EVolve can also be used to build custom visualizers by-implementing new data sources and/or new kinds of visualizations.
The thesis presents an overview of the framework, its data protocol and visualization protocol, and a detailed case study showing how to extend EVolve.
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Lin, Likuo 1979. "Visualization framework for software design analysis." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/87270.
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Sousa, Roberto Nuno Silva. "Glaze visualization framework for mobile devices." Master's thesis, Universidade da Madeira, 2009. http://hdl.handle.net/10400.13/122.
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Yang, Jing. "A General Framework for Multi-Resolution Visualization." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-050505-113345/.
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Dissertation (Ph.D.) -- Worcester Polytechnic Institute.Keywords: Multi-Dimensional Visualization; High-Dimensional Data Set; Information Visualization; Framework; Visualization; Multi-Resolution. Includes bibliographical references (p. 172-186).
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Bichler, Patrick. "Visualization framework for information graphs an incremental approach /." Zürich : Department of Computer Science, Data Research Group, Swiss Federal Institute of Technology (ETH) Zurich, 2002. http://e-collection.ethbib.ethz.ch/show?type=dipl&nr=28.
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Rössling, Guido. "Animal-Farm an extensible framework for algorithm visualization /." [S.l.] : [s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=964487799.
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Goldman, Daniel R. "A framework for video annotation, visualization, and interaction /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/6994.
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Braun, Henry. "Crowdvis: a framework for real time crowd visualization." Pontifícia Universidade Católica do Rio Grande do Sul, 2012. http://hdl.handle.net/10923/1690.
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Previous issue date: 2012Crowd visualizations are present mostly in digital games and computer animated movies, but they are also observed in simulations and virtual reality applications. In crowd simulations we should represent the behavior of agents given different scenarios, and also, such simulations can be provided by different software and tools. This document describes a framework for real time crowd visualization, which no programming knowledge and modeling skills are required from the users. Our main goal is to be able to visualize previously created crowd simulations in real time, combining rendering techniques and providing easy support for managing the scene and the virtual humans.
Visualizações de multidões estão presentes principalmente em jogos digitais e filmes de animação computadorizada. Essas visualizações também são observadas em simulações e aplicações de realidade virtual. Em modelos para simulações de multidões é preciso representar o comportamento dos agentes de acordo com os diferentes cenários, além disto, tais simulações podem ser originadas de diferentes software ou ferramentas. Esta dissertação apresenta um framework para visualização de multidões em tempo real, a qual não requer conhecimento de programação e modelagem. O principal objetivo é apresentar visualizações de simulações previamente criadas, combinando o uso de técnicas de rendering em tempo real, além de proporcionar ferramentas para gerenciar a cena e os humanos virtuais.
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McDonald, Christopher Ernest. "Framework for a visual energy use system." Thesis, [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1892.
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El-Shehaly, Mai Hassan. "A Visualization Framework for SiLK Data exploration and Scan Detection." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/34606.
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Network packet traces, despite having a lot of noise, contain priceless information, especially for investigating security incidents or troubleshooting performance problems. However, given the gigabytes of flow crossing a typical medium sized enterprise network every day, spotting malicious activity and analyzing trends in network behavior becomes a tedious task. Further, computational mechanisms for analyzing such data usually take substantial time to reach interesting patterns and often mislead the analyst into reaching false positives, benign traffic being identified as malicious, or false negatives, where malicious activity goes undetected. Therefore, the appropriate representation of network traffic data to the human user has been an issue of concern recently. Much of the focus, however, has been on visualizing TCP traffic alone while adapting visualization techniques for the data fields that are relevant to this protocol's traffic, rather than on the multivariate nature of network security data in general, and the fact that forensic analysis, in order to be fast and effective, has to take into consideration different parameters for each protocol. In this thesis, we bring together two powerful tools from different areas of application: SiLK (System for Internet-Level Knowledge), for command-based network trace analysis; and ComVis, a generic information visualization tool. We integrate the power of both tools by aiding simplified interaction between them, using a simple GUI, for the purpose of visualizing network traces, characterizing interesting patterns, and fingerprinting related activity. To obtain realistic results, we applied the visualizations on anonymized packet traces from Lawrence Berkley National Laboratory, captured on selected hours across three months. We used a sliding window approach in visually examining traces for two transport-layer protocols: ICMP and UDP. The main contribution of this research is a protocol-specific framework of visualization for ICMP and UDP data. We explored relevant header fields and the visualizations that worked best for each of the two protocols separately. The resulting views led us to a number of guidelines that can be vital in the creation of "smart books" describing best practices in using visualization and interaction techniques to maintain network security; while creating visual fingerprints which were found unique for individual types of scanning activity. Our visualizations use a multiple-views approach that incorporates the power of two-dimensional scatter plots, histograms, parallel coordinates, and dynamic queries.Master of Science
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Whitehorne, Andrew Ennis. "Telescope: A Multivariate Visualization Framework in Support of the Development of a Perceptual Visualization Hierarchy." NCSU, 2008. http://www.lib.ncsu.edu/theses/available/etd-12202007-122731/.
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Scalability has become a major issue within the field of visualization as data gathering methodologies and display technologies diversify. To compensate for large data sets and display limitations, perceptual visualization techniques aim to optimize graphical data representations with human vision in mind. The following outlines the principles, motivations, and development behind the Telescope multivariate visualization framework. Telescope provides mechanisms for generating and manipulating visualizations in which the visual angle and display resolution of individual elements are of chief concern. This software utilizes ongoing research towards the development of comprehensive perceptual feature guidelines to provide a means of dynamically mapping several common visual features to a given data set. Specific element mappings may be disabled or enabled when the size or display resolution of the displayed data elements crosses a defined threshold. Visualization features of interest are: hue, density, direction, flicker, luminance, orientation, regularity, size, and velocity. The system also allows for the simulation of various viewing environments with concern to display size, resolution, viewing distance, and visual angle. Support is provided for the input of a common data format and the easy manipulation of system parameters by means of a rule system. The end result is a system which lays the foundation for the implementation of a comprehensive perceptual visualization hierarchy.
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Stange, Yuri. "Visualization of Code Flow." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-162108.
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Visual representation of Control Flow Graphs (CFG) is a feature available in many tools, such as decompilers. These tools often rely on graph drawing frameworks which implement the Sugiyama hierarchical style graph drawing method, a well known method for drawing directed graphs. The main disadvantage of the Sugiyama framework, is the fact that it does not take into account the nature of the graph to be visualized, specically loops are treated as second class citizens. The question this paper attempts to answer is; how can we improve the visual representation of loops in the graph? A method based on the Sugiyama framework was developed and implemented in Qt. It was evaluated by informally interviewing test subjects, who were allowed to test the implementation and compare it to the normal Sugiyama. The results show that all test subjects concluded that loops, as well as the overall representation of the graph was improved, although with reservations. The method presented in this paper has problems which need to be adressed, before it can be seen as an optimal solution for drawing Control Flow Graphs.Visuell representation av flödesscheman (eng. Control Flow Graph, CFG) är en funktion tillgänglig hos många verktyg, bland annat dekompilerare. Dessa verktyg använder sig ofta av grafritande ramverk som implementerar Sugiyamas metod för uppritning av hierarkiska grafer, vilken är en känd metod för uppritning av riktade grafer. Sugiyamas stora nackdelär att metoden inte tar hänsyn till grafens natur, loopar i synnerhet behandlas som andra klassens medborgare. Frågeställningen hos denna rapport är; Hur kan vi förbättra den visuella representationen av loopar i en graf? En metod som bygger vidare på Sugiyama-ramverket utvecklades och implementerades i Qt. Metoden testades genom att hålla informella kvalitativa intervjuer med testpersoner, vilka fick testa implementeringen och jämföra den med den vanliga Sugiyama-metoden. Resultaten visar att alla testpersonerna stämmer in på att loopar, så väl som den overskådliga representionen av grafen förbättrades, dock med vissa reservationer. Metoden som presenteras i denna rapport har vissa problem, vilka bör adresseras innan den kan ses som en optimal lösning för uppritning av flödesscheman.
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Ayyagari, Pavani. "A visualization framework for patient data and its environment." Manhattan, Kan. : Kansas State University, 2010. http://hdl.handle.net/2097/4256.
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Jiang, Chunyan. "Multi-visualization and hybrid segmentation approaches within telemedicine framework." Phd thesis, Universität Potsdam, 2007. http://opus.kobv.de/ubp/volltexte/2007/1282/.
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Spyrou, Dimitrios. "A new framework for software visualization a multi-layer approach." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Sep%5FSpyrou.pdf.
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Thesis (M.S. in Computer Science)--Naval Postgraduate School, September 2006.Thesis Advisor(s): Thomas Wu Otani. "September 2006." Includes bibliographical references (p. 117-128). Also available in print.
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Dos, Santos Selan Rodrigues. "A framework for the visualization of multidimensional and multivariate data." Thesis, University of Leeds, 2004. http://etheses.whiterose.ac.uk/1316/.
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High dimensionality is a major challenge for data visualization. Parameter optimization problems require an understanding of the behaviour of an objective function in an n-dimensional space around the optimum - this is multidimensional visualization and is a natural extension of the traditional domain of scientific visualization. Large numeric data tables with observations of many attributes require us to understand the relationship between these attributes - this is multivariate visualization and is an important aspect of information visualization. Common to both types of high dimensional visualization is a need to reduce the dimensionality for display. Although multidimensional and multivariate data are quite distinct, we show that a common approach to dimensionality reduction is possible. This framework makes a contribution to the foundation of the data visualization field, bringing both information and scientific visualization rather closer together. To address this problem we present a uniform approach designed for both abstract and scientific data. It is based on the reduction approach, which is realized through a filtering process that allows extraction of data subject to constraints on their position or value within an n-dimensional window, and on choice of dimensions for display. The framework has been put to proof through a visualization method called HyperCell, which has been applied to several case studies. The results are presented and the system evaluated.
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Leite, Santana Michelle. "Monitoring system and alarms visualization." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-13070.
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Along with the popularization of the SMS (Short Message Service) as a communication tool among big companies, such as flight and train companies, post offices and banks, a new branch started to take place in the mobile communication industry: bulk-SMS business. The companies send the SMS to their costumers through an aggregator, which in turn send the SMS further to the customers’ mobile phone. The aggregator consequently needs to monitor the SMS traffic constantly so they can assure good quality of their services. In case of an interruption in the system, their support group needs to be notified directly, so the problem can be fixed straightaway. The aim of this project was to develop an application integrated to the intranet of a company that works in the business of bulk-SMS (CLX Networks), in order to replace the current monitoring system, called OpenNMS. The system was developed using Zend Framework (PHP) and MySQL database.The project resulted in an application that allows the administrator to configure alarms and notifications and to add clients and suppliers accounts to the monitoring system. Whereas the interaction between the user administrator and the system is already implemented, the connection between the system and the CDR- and RR-database is still under development.
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Hays, Benjamin James. "A Graphical Representation Framework for Enhanced Visualization of Construction Control Processes." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/35298.
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Graphical representation for construction control information--processes such as scheduling, budgeting and RFIs--follows no formalized method. Many graphics neglect relevant information necessary to highlight trends in or relationships between processes. The principles of data graphics offer visual capabilities beyond those currently employed by the construction industry to display appropriate information in a manner that enhances comprehension of control processes. This paper describes a method that incorporates four tasks; those of structuring and filtering data, editing for density and communicating efficiently; as necessary to creating effective data graphics. In addition to an evaluation technique, these tasks are outlined in a coherent framework. Several construction control processes are then described with respect to these four tasks. Focused application of the framework to the budgeting process produces four graphics that are subsequently evaluated by industry professionals. Conclusions detailed at the end of this document draw together lessons learned from the process of creating data graphics as well as from quantitative and qualitative evaluations of the visual cost report.Master of Science
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Kumbakonam, Chandrasekar Ramalingam. "PROVIZ: an integrated graphical programming, visualization and scripting framework for WSNs." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47633.
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Wireless Sensor Networks (WSNs) are rapidly gaining popularity in various critical domains like health care, critical infrastructure, and climate monitoring, where application builders have diversified development needs. Independent of the functionalities provided by the WSN applications, many of the developers use visualization, simulation, and programming tools. However, these tools are designed as separate stand-alone applications, which force developers to use multiple tools. This situation often poses confusion and hampers an efficient development experience. To avoid the complexity of using multiple tools, a new, extensible, multi-platform, scalable, and open-source framework called PROVIZ is designed. PROVIZ is an integrated visualization and programming framework with the following features: PROVIZ 1) visualizes sensor nodes and WSN traffic by parsing the data received either from a packet sniffer (e.g., a sensor-based sniffer, or a commercial TI SmartRF 802.15.4 packet sniffer), or from a simulator (e.g., OMNeT); 2) visualizes a heterogeneous WSN consisting of different sensor nodes sending packets with different packet payload formats; and 3) provides a programming framework, which provides a graphical and script-based programming functionality, for developing WSN applications. Also, PROVIZ includes built-in extensible visual demo deployment capabilities that allow users to quickly craft network scenarios and share them with other users. Additionally, a secure and energy efficient wireless code dissemination protocol, named SIMAGE, was developed. SIMAGE is used by PROVIZ to wirelessly reprogram the sensor nodes. SIMAGE uses a link quality cognizant adaptive packet-sizing technique along with energy-efficient encryption protocols for secure and efficient code dissemination. In this thesis, the various features of PROVIZ's visualization and programming framework are explained, the functionality and performance of SIMAGE protocol is described, an example WSN security attack scenario is analyzed, and how PROVIZ can be used as a visual debugging tool to identify the security attack and aid in providing a software fix are discussed.
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Leissler, Martin. "A generic framework for the development of 3D information visualization applications." Phd thesis, [S.l. : s.n.], 2004. http://elib.tu-darmstadt.de/diss/000428.
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Ke, Xian 1981. "A multi-tier framework for dynamic data collection, analysis, and visualization." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28416.
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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.Includes bibliographical references (leaves 52-53).
This thesis describes a framework for collecting, analyzing, and visualizing dynamic data, particularly data gathered through Web questionnaires. The framework addresses challenges such as promoting user participation, handling missing or invalid data, and streamlining the data interpretation process. Tools in the framework provide an intuitive way to build robust questionnaires on the Web and perform on-the-fly analysis and visualization of results. A novel 2.5-dimensional dynamic response-distribution visualization allows subjects to compare their results against others immediately after they have submitted their response, thereby encouraging active participation in ongoing research studies. Other modules offer the capability to quickly gain insight and discover patterns in user data. The framework has been implemented in a multi-tier architecture within an open-source, Java-based platform. It is incorporated into Risk Psychology Network, a research and educational project at MIT's Laboratory for Financial Engineering.
by Xian Ke.
M.Eng.
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Heyne, Edward J. "A .Net Framework for Rule-Based Symbolic Database Visualization in 3D." University of Akron / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=akron1312664305.
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Mahmud, S. "Cloud enabled data analytics and visualization framework for health-shock prediction." Thesis, Coventry University, 2016. http://curve.coventry.ac.uk/open/items/deba667c-5142-4330-9fd0-c86db4a8c088/1.
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Health-shock can be defined as a health event that causes severe hardship to the household because of the financial burden for healthcare payments and the income loss due to inability to work. It is one of the most prevalent shocks faced by the people of underdeveloped and developing countries. In Pakistan especially, policy makers and healthcare sector face an uphill battle in dealing with health-shock due to the lack of a publicly available dataset and an effective data analytics approach. In order to address this problem, this thesis presents a data analytics and visualization framework for health-shock prediction based on a large-scale health informatics dataset. The framework is developed using cloud computing services based on Amazon web services integrated with Geographical Information Systems (GIS) to facilitate the capture, storage, indexing and visualization of big data for different stakeholders using smart devices. The data was collected through offline questionnaires and an online mobile based system through Begum Memhooda Welfare Trust (BMWT). All data was coded in the online system for the purpose of analysis and visualization. In order to develop a predictive model for health-shock, a user study was conducted to collect a multidimensional dataset from 1000 households in rural and remotely accessible regions of Pakistan, focusing on their health, access to health care facilities and social welfare, as well as economic and environmental factors. The collected data was used to generate a predictive model using a fuzzy rule summarization technique, which can provide stakeholders with interpretable linguistic rules to explain the causal factors affecting health-shock. The evaluation of the proposed system in terms of the interpretability and accuracy of the generated data models for classifying health-shock shows promising results. The prediction accuracy of the fuzzy model based on a k-fold crossvalidation of the data samples shows above 89% performance in predicting health-shock based on the given factors. Such a framework will not only help the government and policy makers to manage and mitigate health-shock effectively and timely, but will also provide a low-cost, flexible, scalable, and secure architecture for data analytics and visualization. Future work includes extending this study to form Pakistan’s first publicly available health informatics tool to help government and healthcare professionals to form policies and healthcare reforms. This study has implications at a national and international level to facilitate large-scale health data analytics through cloud computing in order to minimize the resource commitments needed to predict and manage health-shock.
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Ho, Quan. "Architecture and Applications of a Geovisual Analytics Framework." Doctoral thesis, Linköpings universitet, Medie- och Informationsteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-91679.
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The large and ever-increasing amounts of multi-dimensional, multivariate, multi-source, spatio-temporal data represent a major challenge for the future. The need to analyse and make decisions based on these data streams, often in time-critical situations, demands integrated, automatic and sophisticated interactive tools that aid the user to manage, process, visualize and interact with large data spaces. The rise of `Web 2.0', which is undisputedly linked with developments such as blogs, wikis and social networking, and the internet usage explosion in the last decade represent another challenge for adapting these tools to the Internet to reach a broader user community. In this context, the research presented in this thesis introduces an effective web-enabled geovisual analytics framework implemented, applied and verified in Adobe Flash ActionScript and HTML5/JavaScript. It has been developed based on the principles behind Visual Analytics and designed to significantly reduce the time and effort needed to develop customized web-enabled applications for geovisual analytics tasks and to bring the benefits of visual analytics to the public. The framework has been developed based on a component architecture and includes a wide range of visualization techniques enhanced with various interaction techniques and interactive features to support better data exploration and analysis. The importance of multiple coordinated and linked views is emphasized and a number of effective techniques for linking views are introduced. Research has so far focused more on tools that explore and present data while tools that support capturing and sharing gained insight have not received the same attention. Therefore, this is one of the focuses of the research presented in this thesis. A snapshot technique is introduced, which supports capturing discoveries made during the exploratory data analysis process and can be used for sharing gained knowledge. The thesis also presents a number of applications developed to verify the usability and the overall performance of the framework for the visualization, exploration and analysis of data in different domains. Four application scenarios are presented introducing (1) the synergies among information visualization methods, geovisualization methods and volume data visualization methods for the exploration and correlation of spatio-temporal ocean data, (2) effective techniques for the visualization, exploration and analysis of self-organizing network data, (3) effective flow visualization techniques applied to the analysis of time-varying spatial interaction data such as migration data, commuting data and trade flow data, and (4) effective techniques for the visualization, exploration and analysis of flood data.
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Indrakanti, Saratchandra. "A Global Stochastic Modeling Framework to Simulate and Visualize Epidemics." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc115099/.
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Epidemics have caused major human and monetary losses through the course of human civilization. It is very important that epidemiologists and public health personnel are prepared to handle an impending infectious disease outbreak. the ever-changing demographics, evolving infrastructural resources of geographic regions, emerging and re-emerging diseases, compel the use of simulation to predict disease dynamics. By the means of simulation, public health personnel and epidemiologists can predict the disease dynamics, population groups at risk and their geographic locations beforehand, so that they are prepared to respond in case of an epidemic outbreak. As a consequence of the large numbers of individuals and inter-personal interactions involved in simulating infectious disease spread in a region such as a county, sizeable amounts of data may be produced that have to be analyzed. Methods to visualize this data would be effective in facilitating people from diverse disciplines understand and analyze the simulation. This thesis proposes a framework to simulate and visualize the spread of an infectious disease in a population of a region such as a county. As real-world populations have a non-homogeneous demographic and spatial distribution, this framework models the spread of an infectious disease based on population of and geographic distance between census blocks; social behavioral parameters for demographic groups. the population is stratified into demographic groups in individual census blocks using census data. Infection spread is modeled by means of local and global contacts generated between groups of population in census blocks. the strength and likelihood of the contacts are based on population, geographic distance and social behavioral parameters of the groups involved. the disease dynamics are represented on a geographic map of the region using a heat map representation, where the intensity of infection is mapped to a color scale. This framework provides a tool for public health personnel and epidemiologists to run what-if analyses on disease spread in specific populations and plan for epidemic response. By the means of demographic stratification of population and incorporation of geographic distance and social behavioral parameters into the modeling of the outbreak, this framework takes into account non-homogeneity in demographic mix and spatial distribution of the population. Generation of contacts per population group instead of individuals contributes to lowering computational overhead. Heat map representation of the intensity of infection provides an intuitive way to visualize the disease dynamics.
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Aquilio, Anthony Scott. "A Framework for Dynamic Terrain with Application in Off-road Ground Vehicle Simulations." Digital Archive @ GSU, 2006. http://digitalarchive.gsu.edu/cs_diss/11.
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The dissertation develops a framework for the visualization of dynamic terrains for use in interactive real-time 3D systems. Terrain visualization techniques may be classified as either static or dynamic. Static terrain solutions simulate rigid surface types exclusively; whereas dynamic solutions can also represent non-rigid surfaces. Systems that employ a static terrain approach lack realism due to their rigid nature. Disregarding the accurate representation of terrain surface interaction is rationalized because of the inherent difficulties associated with providing runtime dynamism. Nonetheless, dynamic terrain systems are a more correct solution because they allow the terrain database to be modified at run-time for the purpose of deforming the surface. Many established techniques in terrain visualization rely on invalid assumptions and weak computational models that hinder the use of dynamic terrain. Moreover, many existing techniques do not exploit the capabilities offered by current computer hardware. In this research, we present a component framework for terrain visualization that is useful in research, entertainment, and simulation systems. In addition, we present a novel method for deforming the terrain that can be used in real-time, interactive systems. The development of a component framework unifies disparate works under a single architecture. The high-level nature of the framework makes it flexible and adaptable for developing a variety of systems, independent of the static or dynamic nature of the solution. Currently, there are only a handful of documented deformation techniques and, in particular, none make explicit use of graphics hardware. The approach developed by this research offloads extra work to the graphics processing unit; in an effort to alleviate the overhead associated with deforming the terrain. Off-road ground vehicle simulation is used as an application domain to demonstrate the practical nature of the framework and the deformation technique. In order to realistically simulate terrain surface interactivity with the vehicle, the solution balances visual fidelity and speed. Accurately depicting terrain surface interactivity in off-road ground vehicle simulations improves visual realism; thereby, increasing the significance and worth of the application. Systems in academia, government, and commercial institutes can make use of the research findings to achieve the real-time display of interactive terrain surfaces.
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Dai, Ming. "The design and implementation of component-based graphics framework for data visualization." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0007/MQ43553.pdf.
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Akhavian, Reza. "A Framework for Process Data Collection, Analysis, and Visualization in Construction Projects." Master's thesis, University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5092.
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Automated data collection, simulation and visualization can substantially enhance the process of designing, analysis, planning, and control of many engineering processes. In particular, managing processes that are dynamic in nature can significantly benefit from such techniques. Construction projects are good examples of such processes where a variety of equipment and resources constantly interact inside an evolving environment. Management of such settings requires a platform capable of providing decision-makers with updated information about the status of project entities and assisting site personnel making critical decisions under uncertainty. To this end, the current practice of using historical data or expert judgments as static inputs to create empirical formulations, bar chart schedules, and simulation networks to study project activities, resource operations, and the environment under which a project is taking place does not seem to offer reliable results. The presented research investigates the requirements and applicability of a data-driven modeling framework capable of collecting and analyzing real time field data from construction equipment. In the developed data collection scheme, a stream of real time data is continuously transferred to a data analysis module to calculate the input parameters required to create dynamic 3D visualizations of ongoing engineering activities, and update the contents of a discrete event simulation (DES) model representing the real engineering process. The generated data-driven simulation model is an effective tool for projecting future progress based on existing performance. Ultimately, the developed framework can be used by project decision-makers for short-term project planning and control since the resulting simulation and visualization are completely based on the latest status of project entities.ID: 031001404; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Title from PDF title page (viewed June 10, 2013).; Thesis (M.S.C.E.)--University of Central Florida, 2012.; Includes bibliographical references (p. 98-105).
M.S.C.E
Masters
Civil, Environmental, and Construction Engineering
Engineering and Computer Science
Civil Engineering
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Altarawy, Doaa Abdelsalam Ahmed Mohamed. "DeTangle: A Framework for Interactive Prediction and Visualization of Gene Regulatory Networks." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/85504.
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With the abundance of biological data, computational prediction of gene regulatory networks (GRNs) from gene expression data has become more feasible. Although incorporating other
prior knowledge (PK), along with gene expression, greatly improves prediction accuracy, the accuracy remains low. PK in GRN inference can be categorized into noisy and curated.
Several algorithms were proposed to incorporate noisy PK, but none address curated PK. Another challenge is that much of the PK is not stored in databases or not in a unified structured format to be accessible by inference algorithms. Moreover, no GRN inference method exists that supports post-prediction PK.
This thesis addresses those limitations with three solutions: PEAK algorithm for integrating both curated and noisy PK, Online-PEAK for post-prediction interactive feedback, and DeTangle for visualization and navigation of GRNs. PEAK integrates both curated as well as noisy PK in GRN inference. We introduce a novel method for GRN inference, CurInf, to effectively integrate curated PK, and we use the previous method, Modified Elastic Net, for noisy PK, and we call it NoisInf. Using 100% curated PK, CurInf improves the AUPR accuracy score over NoisInf by 27.3% in synthetic data, 86.5% in E. coli data, and 31.1% in S. cerevisiae data. Moreover, we developed an online algorithm, online-PEAK, that enables the biologist to interact with the inference algorithm, PEAK, through a visual interface to add their domain experience about the structure of the GRN as a feedback to the system. We experimentally verified the ability of online-PEAK to achieve incremental accuracy when PK is added by the user, including true and false PK. Even when the noise in PK is 10 times more than true PK, online-PEAK performs better than inference without any PK.
Finally, we present DeTangle, a Web server for interactive GRN prediction and visualization. DeTangle provides a seamless analysis of GRN starting from uploading gene expression, GRN inference, post-prediction feedback using online-PEAK, and visualization and navigation of the predicted GRN. More accurate prediction of GRN can facilitate studying complex molecular interactions, understanding diseases, and aiding drug design.Ph. D.
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Mehta, Sameep. "Realizing a feature-based framework for scientific data mining." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1155650127.
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Kemec, Serkan. "A Conceptual Framework For 3d Urban Disaster Risk Visualization In Geo-spatial Environment." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613832/index.pdf.
Full textAbstract:
Visualization could be defined as the graphical presentation of information, in which the main aim is to improve the user&rsquos perception. In all phases of the disaster management, decision makers come across huge data sets with spatio-temporal content. It is hard to deal with these sets in order to find answers to the main question of &ldquo
How can we decrease the losses due to disasters?&rdquo
, which is at the core of the disaster management concept. To furnish this aim, disaster risk information has to be transparent and clearly stated to the public, decision makers and disaster managers. This might be more sophisticated than the calculation of the risk. Taking precautions before a disaster to reduce the causalities and lossess engendered by natural disasters is relatively cheaper, and more importantly, better than cure. To achieve enhanced preparations for all kinds of disasters, visualization is quite an important tool for decision support and risk communication. The basic aim of this research is to propose a conceptual framework, with the consideration of all stakeholders related to the disaster management issue to have a better risk communication, and to guide the design, implementation and integration of the 3D urban modeling tools into disaster risk visualization. Moreover, an empirical methodology is also developed for the generation of visualization solutions through the design, and employment of the tool for disaster management framework. The proposed framework has three main phases .These are the definition of visualization components, object representation, and needs assessment. A new LoD hierarchy with indoor is proposed to visualize all the possible 3D urban disaster situations in the first phase. Then, a decision rule with eight attributes is proposed in the second phase to establish a link between the hazard type and the LoD needed in a 3D urban model for visualization. This decision rule is applied in a proposed three-level hierarchycal structure. The assessed objects of these three levels are urban, sub-urban zone and building. Moreover, a method to define the needed sub-urban zone is proposed. Finally, different 3D urban modelling methods are analyzed to define the data and process needs of possible 3D urban disaster visualization situations. Two natural hazard cases are studied within the scope of this dissertation to assess the operability of the proposed framework. These implementations involve one earthquake and one tsunami case. Special attention is paid to finding one specific sample for two modelling viewpoints, namely static and dynamic. The first applications of the proposed framework with all the related features prove quite promising.
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Kraemer, Eileen T. "A framework, tools, and methodology for the visualization of parallel and distributed systems." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/9214.
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Indukuri, Kiran Kumar. "Fusion: a Visualization Framework for Interactive Ilp Rule Mining With Applications to Bioinformatics." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/36326.
Full textAbstract:
Microarrays provide biologists an opportunity to find the expression profiles of thousands of genes simultaneously. Biologists try to understand the mechanisms underlying the life processes by finding out relationships between gene-expression and their functional categories. Fusion is a software system that aids the biologists in performing microarray data analysis by providing them with both visual data exploration and data mining capabilities. Its multiple view visual framework allows the user to choose different views for different types of data. Fusion uses Proteus, an Inductive Logic Programming (ILP) rule finding algorithm to mine relationships in the microarray data. Fusion allows the user to explore the data interactively, choose biases, run the data mining algorithms and visualize the discovered rules. Fusion has the capability to smoothly switch across interactive data exploration and batch data mining modes. This optimizes the knowledge discovery process by facilitating a synergy between the interactivity and usability of visualization process with the pattern-finding abilities of ILP rule mining algorithms. Fusion was successful in helping biologists better understand the mechanisms underlying the acclimatization of certain varieties of Arabidopsis to ozone exposure.Master of Science
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Catanzaro, Christopher David. "Vizability: Visualizing Usability Evaluation Data Based on the User Action Framework." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/32575.
Full textAbstract:
Organizations have recognized usability engineering as a needed step in the development process to ensure the success of any product. As is the case in all competitive settings areas for improvement are scouted and always welcomed. In the case of usability engineering a lot of time, money, equipment, and other resources are spent to gather usability data to identify and resolve usability problems in order to improve their product. The usability data gained from the expenditure of resources is often only applied to the development effort at hand and not reused across projects and across different development groups within the organization. More over, the usability data are often used at a level that forces the organization to only apply the data to that specific development effort. However, if usability data can be abstracted from the specific development effort and analyzed in relation to the process that created and identified the data; the data can then be used and applied over multiple development efforts. The User Action Framework (UAF) is a hierarchical framework of usability concepts that ensures consistency through completeness and precision. The UAF by its nature classifies usability problems at a high level. This high level classification affords usability engineers to not only apply the knowledge gained to the current development effort but to apply the knowledge across multiple development efforts. This author presents a mechanism and a process to allow usability engineers to find insights in their usability data to identify both strengths and weaknesses in their process. In return usability practitioners and companies can increase their return on investment by extending the usefulness of usability data over multiple development efforts.Master of Science
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Mehta, Nishant K. "A Hierarchy Navigation Framework: Supporting Scalable Interactive Exploration over Large Databases." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0827104-114148/.
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Dang, Luan Quang. "A functional framework for evaluating visualization applications, with a focus on financial analysis problems." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/42313.
Full textAbstract:
The aim of this project is to bridge the gap between Visual Analytics (VA) research and application development and deployment in imperfect conditions, and to address some of the multi-layered and often vaguely-defined problems in industry. The first goal of this project is to create a functional framework to evaluate the suitability of VA applications for various investment analysis problems. This framework can guide the development process of such applications and address several secondary challenges to deploying VA solutions in financial organizations, such as problems in file formats and information management. These secondary challenges are relevant not only to VA, but also to the deployment of other computer-aided analytic processes. The construction of the framework began with an extensive literature survey on common investment analysis problems, VA techniques, sense making and intelligence analysis theories, and previous attempts by other VA researchers in creating classifications of VA techniques. It was then developed to evaluate the suitability of several mature VA products with regard to common investment analysis problems.
This evaluation framework was next applied in a case study in a Fixed-income investment company, with the supervision of Dr. Victoria Lemieux and domain-expertise advise from two Masters of Finance students. This study involved systematically investigating the analytic process of the firm and isolating areas that could be improved with VA. These detailed problem definitions were then mapped to VA techniques to find the optimal visualizations and interactions for the problem. The case study also involved implementing a solution for the company by building upon an open-source toolkit that was evaluated with the framework. Preliminary results suggested that the prototype “significantly improves the speed with which we (analysts) see the impact of movements of the yield curve on client’s surpluses/deficits…” The field-testing analyst also did not find any aspect of the interface to be difficult to learn or unpleasant to use.
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Jentsch, Marc [Verfasser], Matthias [Akademischer Betreuer] Jarke, and Alberto [Akademischer Betreuer] Giretti. "Ubiquitous Annotation Visualization - Concept and Rapid Prototyping Framework / Marc Jentsch ; Matthias Jarke, Alberto Giretti." Aachen : Universitätsbibliothek der RWTH Aachen, 2015. http://d-nb.info/1130326241/34.
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Penick, Michael Alan. "VFIRE virtual fire in realistic environments : a framework for wildfire visualization in immersive environments /." abstract and full text PDF (free order & download UNR users only), 2007. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1442845.
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Acevedo, Feliz Daniel. "A framework for the perceptual optimization of multivalued multilayered two-dimensional scientific visualization methods." View abstract/electronic edition; access limited to Brown University users, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3318287.
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Seo, Jinwook. "Information visualization design for multidimensional data integrating the rank-by-feature framework with hierarchical clustering /." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/2438.
Full textAbstract:
Thesis (Ph. D.) -- University of Maryland, College Park, 2005.Thesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Buschmann, Stefan [Verfasser], and Jürgen [Akademischer Betreuer] Döllner. "A software framework for GPU-based geo-temporal visualization techniques / Stefan Buschmann ; Betreuer: Jürgen Döllner." Potsdam : Universität Potsdam, 2018. http://d-nb.info/1219515310/34.
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Maloo, Akshay. "Dynamic Behavior Visualizer: A Dynamic Visual Analytics Framework for Understanding Complex Networked Models." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/25296.
Full textAbstract:
Dynamic Behavior Visualizer (DBV) is a visual analytics environment to visualize the spatial and temporal movements and behavioral changes of an individual or a group, e.g. family within a realistic urban environment. DBV is specifically designed to visualize the adaptive behavioral changes, as they pertain to the interactions with multiple inter-dependent infrastructures, in the aftermath of a large crisis, e.g. hurricane or the detonation of an improvised nuclear device. DBV is web-enabled and thus is easily accessible to any user with access to a web browser. A novel aspect of the system is its scale and fidelity. The goal of DBV is to synthesize information and derive insight from it; detect the expected and discover the unexpected; provide timely and easily understandable assessment and the ability to piece together all this information.Master of Science
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de, Ruiter Niels Johannes Antonius. "GPU Accelerated Intermixing as a Framework for Interactively Visualizing Spectral CT Data." Thesis, University of Canterbury. Centre of Bioengineering, 2011. http://hdl.handle.net/10092/5328.
Full textAbstract:
Computed Tomography (CT) is a medical imaging modality which acquires anatomical data via the unique x-ray attenuation of materials. Yet, some clinically important materials remain difficult to distinguish with current CT technology. Spectral CT is an emerging technology which acquires multiple CT datasets for specific x-ray spectra. These spectra provide a fingerprint that allow materials to be distinguished that would otherwise look the same on conventional CT.
The unique characteristics of spectral CT data motivates research into novel visualization techniques. In this thesis, we aim to provide the foundation for visualizing spectral CT data. Our initial investigation of similar
multi-variate data types identified intermixing as a promising visualization technique.
This promoted the development of a generic, modular and extensible intermixing framework. Therefore, the contribution of our work is a framework supporting the construction, analysis and storage of algorithms for visualizing spectral CT studies.
To allow evaluation, we implemented the intermixing framework in an application called MARSCTExplorer along with a standard set of volume visualization tools. These tools provide user-interaction as well as supporting traditional visualization techniques for comparison.
We evaluated our work with four spectral CT studies containing materials indistinguishable by conventional CT. Our results confirm that spectral CT can distinguish these materials, and reveal how these materials might be visualized with our intermixing framework.
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Techaplahetvanich, Kesaraporn. "A visualization framework for exploring correlations among atributes of a large dataset and its applications in data mining." University of Western Australia. School of Computer Science and Software Engineering, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0216.
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[Truncated abstract] Many databases in scientific and business applications have grown exponentially in size in recent years. Accessing and using databases is no longer a specialized activity as more and more ordinary users without any specialized knowledge are trying to gain information from databases. Both expert and ordinary users face significant challenges in understanding the information stored in databases. The databases are so large in most cases that it is impossible to gain useful information by inspecting data tables, which are the most common form of storing data in relational databases. Visualization has emerged as one of the most important techniques for exploring data stored in large databases. Appropriate visualization techniques can reveal trends, correlations and associations in data that are very difficult to understand from a textual representation of the data. This thesis presents several new frameworks for data visualization and visual data mining. The first technique, VisEx, is useful for visual exploration of large multi-attribute datasets and especially for exploring the correlations among the attributes in such datasets. Most previous visualization techniques can display correlations among two or three attributes at a time without excessive screen clutter. ... Although many algorithms for mining association rules have been researched extensively, they do not incorporate users in the process and most of them generate a large number of association rules. It is quite often difficult for the user to analyze a large number of rules to identify a small subset of rules that is of importance to the user. In this thesis I present a framework for the user to interactively mine association rules visually. Another challenging task in data mining is to understand the correlations among the mined association rules. It is often difficult to identify a relevant subset of association rules from a large number of mined rules. A further contribution of this thesis is a simple framework in the VisAR system that allows the user to explore a large number of association rules visually. A variety of businesses have adopted new technologies for storing large amounts of data. Analysis of historical data quite often offers new insights into business processes that may increase productivity and profit. On-line analytical processing (OLAP) has become a powerful tool for business analysts to explore historical data. Effective visualization techniques are very important for supporting OLAP technology. A new technique for the visual exploration of OLAP data cubes is also presented in this thesis.
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Palomeque, Carlos. "Real-Time Visualization of Construction Equipment Performance." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-110903.
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This thesis is a proof-of-concept project that aims at modify and reuse existing communication protocols of wireless vehicle to vehicle communication in order to build a prototype of a real time graphical application that runs in an embedded environment. The application is a 2D visualization of the flow of material at a quarry and is built on top of existing communication protocols that enable wireless vehicle to vehicle communication according to the 802.11p standard for intelligent transport solutions. These communication protocols have already been used within the Volvo group in other research rojects, but not in a context of a real-time graphical 2D visualization. The application runs on an ALIX embedded motherboard and combined with the necessary hardware represent one node that makes the communication network. The visualization monitors the position of every active node in the network and the flow of material between material locations and crusher that process the material at the quarry. The visualization is implemented in C/C++ using Qt 4.6.2 Graphics View framework.
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Peterson, Todd Alan. "AQM Shell Development - Creating a Framework for Airspace and Airfield Operations and Air Quality Visualization Software." Thesis, Virginia Tech, 1997. http://hdl.handle.net/10919/37026.
Full textAbstract:
It is believed that the analysis of air traffic impacts on air quality will benefit from attention to the three-dimensional nature of the air traffic network as well as the actions of individual aircraft during the study period. With the existence of air traffic simulation models, the actions of individual aircraft may already be defined in a simulated environment. SIMMOD, the Federal Aviation Administration's airport and airspace modeling software, performs such models of scheduled air traffic. The results of such models may be used to determine the impacts of scheduled air traffic on air quality as well as other parameters. This report addresses the interpretation of output from SIMMOD models for use in air quality analysis and visualization of the air traffic network, and the application of these techniques in a stand-alone computer program. This program, named AQM for its purpose in assisting development of Air Quality Models, provides a working framework for future development of software for detailed air quality analysis and visualization.Master of Science
48
Techaplahetvanich, Kesaraporn. "A visualization framework for exploring correlations among attributes of a large dataset and its applications in data mining /." Connect to this title, 2005. http://theses.library.uwa.edu.au/adt-WU2007.0216.
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Dale, Anthony James Eric. "A Framework for Linking Projects and Project Management Methods." Thesis, University of Canterbury. Computer Science and Software Engineering, 2006. http://hdl.handle.net/10092/1182.
Full textAbstract:
Software development processes such as the Waterfall process and Extreme Programming are Project Management Methods (PMMs) which are well known and widely used. However, conventional Project Management (PM) lacks the process concepts expressed in PMMs, and the connection between PMMs and PM is not much explored in the literature. Our research problem is to make this connection. We present data models for PM and PMM, in a framework that can articulate the PM-to-PMM relationship, illustrating with simple examples. Tools and visualizations created in terms of our framework can make use of the familiarity, history and context of project management tools, and the prescriptiveness and reactivity of PMMs, and we believe these may assist the management of complicated projects, such as IT projects. Project Mentor, a prototype Java/XML implementation of the framework semantics, can create and then revise a PMM-aware project, conforming to a specified PMM. The PM-to-PMM connection is persistent in project data, and we describe a visualization of the footsteps of a PMM in project data that does not rely on the state of a PMM process. The visualization can also be used by Project Mentor, to indicate the state of a PMM. We test for possible applications of our framework with a case study and survey of some existing project data, and conclude with a description of further work.
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Heibi, Ivan. "A Visual Framework for Graph and Text Analytics in Email Investigation." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13818/.
Full textAbstract:
The aim of this work is to build a framework which can benefit from data analysis techniques to explore and mine important information stored in an email collection archive. The analysis of email data could be accomplished from different perspectives, we mainly focused our approach on two different aspects: social behaviors and the textual content of the emails body. We will present a review on the past techniques and features adopted to handle this type of analysis, and evaluate them in real tools. This background will motivate our choices and proposed approach, and help us build a final visual framework which can analyze and show social graph networks along with other data visualization elements that assist users in understanding and dynamically elaborating the email data uploaded. We will present the architecture and logical structure of the framework, and show the flexibility nature of the system for future integrations and improvements. The functional aspects of our approach will be tested using the ‘enron dataset’, and by applying real key actors involved in the ‘enron case’ scandal.