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In this study, the author evaluates four visualization methods (FlexViz, the Jambalaya applet, Experimental jOWL TouchGraph, and Plone ontology) from the pool of currently available web based visualization methods.
Further, this study attempts to answer of the following research questions: 1. What are the requirements for ontology visualization? 2. How is comparative analysis and evaluation carried out? 3. How can a chosen method be tested? Based on the results of the evaluation, the visualization method FlexViz was found to be the most suitable for the given scenario. The deployment of FlexViz was carried out and integrated within Plone CMS and logical parts of the VCD ontology are tested. Finally, FlexViz was analyzed from different stakeholder- perspectives. Results showed that FleViz is a reliable tool for visualizing, understanding and analyzing a developed ontology because of its user-friendly and interactive interface, but performs poorly in regards to the editing, extension and development process.
In the "Institut MTI Mittelrhein" the impact of training and experience on motion and motion planning in sports is examined. As a part of these investigations, the motion behaviour of a sports climber is analyzed on a sports climbing wall. The aim of this thesis is the segmentation and marker-based detection of the movement of a climber in video recordings. The segmented markers from each image are tracked by a tracking procedure over time. The motion tracks will be exported to the motion analysis software Simi Motion in a format suitable for further analysis.
The RoboCup Rescue League was founded with the intention to serve as an international communication platform for development of rescue robots. In regions hit by catastrophes, those robots are meant to find buried people, detect their physical condition and send the proper information to rescue teams.
At the university of Koblenz the rescue robot "Robbie" has been in development for years. Robbie accumulates information about his environment by targeted control of sensors and can act autonomous in unknown regions with help of the previous collected data. He creates an internal 2D map of his environment. This map provides enough information to navigate through space and to localize himself. Unfortunately, 2D maps have a huge drawback. When confronted with uneven terrain or even multilayered disaster areas, this technique will meet its limitations. Considered that most afflicted areas will probably have a bumpy ground, it is important to improve this technique.
That is why 3D-mapping is being required. With the help of RoboCup Rescue Scenario this Bachelor Thesis is going to implement a 3D-mapping algorithm and evaluate the flaws of 2D- and 3D-mapping problems thoroughly.
This paper describes results of the simulation of social objects, the dependence of schoolchildren's professional abilities on their personal characteristics. The simulation tool is the artificial neural network (ANN) technology. Results of a comparison of the time expense for training the ANN and for calculating the weight coefficients with serial and parallel algorithms, respectively, are presented.
This thesis deals with the distribution of large virtual networks to multiple physical hosts using the virtualization tools VNUML and EDIV. While VNUML is responsible for simulating the network, EDIV has its focus primarily on the distributiion. After a short explanation of basic terms and concepts from the field of network simulation, the two previously mentioned virtualization tools are described in detail. This starts in both cases with a detailed description regarding the proper installation and configuration, followed by a demonstration of the most important functions, such as starting or stopping a simulation. The creation of a suitable network scenario and the information scripts provided by EDIV are two further points described in this context. To use the presented possibilities of those tools in practice, an own network scenario is designed and distributed to several hosts, so that the different functions of EDIV can be shown and described accurately.
We present a non-linear camera pose estimator, which is able to handle a combined input of point and line feature correspondences. For three or more correspondences, the estimator works on any arbitrary number and choice of the feature type, which provides an estimation of the pose on a preferably small and flexible amount of 2D-3D correspondences. We also give an analysis of different minimization techniques, parametrizations of the pose data, and of error measurements between 2D and 3D data. These will be tested for the usage of point features, lines and the combination case. The result shows the most stable and fast working non-linear parameter set for pose estimation in model-based tracking.
The paper is devoted to solving a problem of the development of the website of Russian municipal policlinics and provides a selection of a set of elements which should be posted on a website. Such elements are necessary to provide citizens with correct and ergonomic e-services. The insufficient development of an infrastructure of institutions of public and municipal administration (particularly, healthcare institutions) in Russia made it necessary to analyze webresources used in different countries at different levels of providing medical services. The information resources of medical treatment facilities of the United Kingdom, of the United Statesrnof America and of the Federal Republic of Germany were researched separately for three existing economic models of healthcare. A set of criteria for the assessment of medical webresources was developed.