Situations like war, terrorist attacks, fire accidents, floods, storms, etc., which threaten human life and property, demand immediate action to decrease the damage caused by them. A system is needed that predicts the future events based on what has happened and notifies the concerned personnel. The situation could be better understood in less time if the data is represented as colored, shaded and moving images rather than as numbers. Such a system requires a real-time Web-based visualization system with easy and secure access to grid resources, presenting easy-to-read graphics through a simple interface provided by a Web browser, and responding to user actions immediately. The Web and grid environments impose severe performance constraints such as communication time, latency of the network, etc., making it highly difficult to have a highly responsive real-time visualization. This work aims in finding an appropriate design that satisfies the above requirements. It also aims in understanding the limitations of a distributed environment for real-time applications and finding ways to overcome those limitations. A three-tier architecture is proposed, implemented, and tested to find the bottlenecks of the distributed environment. Relevant design principles are applied to a case study eliminating or minimizing the bottlenecks until the case study system satisfies all the requirements. The case study is the Fire-Smoke system, simulating the propagation of fire in the ex-USS Shadwell test area emulating a submarine. This system is re-implemented from a stand-alone system in OpenGL to a real-time Web-based visualization system using Java3D and J2EE technologies.

Numeric hydrologic models can aid in water resource management by providing predictive simulations of water behavior. As computers become more advanced, the models developed also become more complex using more data to represent larger areas for forecasting hydrologic behavior. Unfortunately, as the simulations use more data, the output often becomes difficult to manage and share without investing time and effort into setting up server environments or decreasing the quality of the output to compensate for an efficient and effective user experience. A proposed solution to facilitate the accessibility of massive hydrologic model output is through the web-based visualization tool developed at Carnegie Mellon University called Time Machine. For a more efficient and automated workflow, a Python tool named TMAPS was developed from this research for rendering hydrologic model results, geoprocessing the rendered output, and generating Time Machines seamlessly. The tool can be installed from the CI-WATER GitHub repository and allows the user to 1) select the output parameters and visualization settings desired to be rendered, 2) run the code on a local or HPC setup, and 3) use a web browser interface to view the tiled transient results seamlessly while maintaining high quality. Currently, the only hydrologic model supported is ADHydro - a large-scale high-resolution multi-physics watershed simulation. In an effort to facilitate organizing the library of Time Machine products, an app was created through Tethys - a server-based Django application designed to aid in the development and sharing of water resource engineering apps.

mLearn4web is a web-based framework aiming to support the creation of mobile applications within the field of mobile learning. The framework consists of three main parts; an authoring tool, automatically deployed mobile applications and a visualization tool. The visualization tool was implemented as part of this thesis’ work. The focus of this thesis was to identify visual representations for data collected in mLearn4web activities and to implement these representations in a new visualization tool. The work has had a design-based research approach and was conducted together with teachers as a part of an iterative design process. The work was initiated by a literature review and a study of previous mLearn4web use. A questionnaire was then sent to teachers, where they were asked to rate different visual representations. This was the basis for the development of the visualization tool. Three workshops involving teachers were conducted throughout the process, finally resulting in a functional visualization tool and a set of visual representations that were found appropriate by teachers. Evaluations with experienced teachers show that the visual representations proposed and implemented can be appropriate in an educational setting. To further validate them the tool and its visual representations need to be tested in real-life settings, and should ideally also include students. / mLearn4web

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Tato práce popisuje přehled standardních a pokročilých metod používaných k diagnose glaukomu v ranném stádiu. Na základě teoretických poznatků je implementován internetově orientovaný informační systém pro oční lékaře, který má tři hlavní cíle. Prvním cílem je možnost sdílení osobních dat konkrétního pacienta bez nutnosti posílat tato data internetem. Druhým cílem je vytvořit účet pacienta založený na kompletním očním vyšetření. Posledním cílem je aplikovat algoritmus pro registraci intenzitního a barevného fundus obrazu a na jeho základě vytvořit internetově orientovanou tři-dimenzionální vizualizaci optického disku. Tato práce je součásti DAAD spolupráce mezi Ústavem Biomedicínského Inženýrství, Vysokého Učení Technického v Brně, Oční klinikou v Erlangenu a Ústavem Informačních Technologií, Friedrich-Alexander University, Erlangen-Nurnberg.