Approved for public release; distribution is unlimited / The time varying development and structure of Dean vortices were studies using flow visualization. Observations were made over a range of Dean numbers from 40 to 200 using a transparent channel with mild curvature, 40:1 aspect ratio, and an inner to outer radius ratio of 0.979. Seven flow visualization techniques were tried but only one, a wood burning smoke generator, produced usable results. Different vortex characteristics were observed and documented in sequences of photographs space one quarter of a second apart at locations ranging from 85 to 135 degrees from the start of curvature. Evidence is presented that supports the twisting/rocking nature of the flow. / http://archive.org/details/flowvisualizatio00bell / Lieutenant, United States Navy

Modern information technologies are unstoppably advancing and their development is inseparably linked with the development of the Internet. The amount of data and information published and available on the Internet is growing in units of Exabyte every year. Using so-called semantic tags added to documents, the Semantic Web movement aims to help machines, and eventually man, to benefit from the information contained in those (not only) on the Internet stored data. Elements marked with a semantic tag is given a machine- recognizable information. The importance of it lies in the positions and relationships of the tag to other tags within some set of (dictionary) of such tags. Ontologies are sets or dictionaries of such marks that capture specific knowledge of certain areas of life, technology or problems. The theoretical part of this work aims to explore the history and the development of knowledge representation, the development of ontologies and ontological engineering and semantic web technologies. In the practical part we analyze the SNOMED CT ontology, what is a large actually used ontology. We also design a tool that should help to enhance and simplify the development of ontologies. In the last, a plan is to implement a part of the designed tool.

Modern information technologies are unstoppably advancing and their development is inseparably linked with the development of the Internet. The amount of data and information published and available on the Internet is growing in units of Exabyte every year. Using so-called semantic tags added to documents, the Semantic Web movement aims to help machines, and eventually man, to benefit from the information contained in those (not only) on the Internet stored data. Elements marked with a semantic tag is given a machine- recognizable information. The importance of it lies in the positions and relationships of the tag to other tags within some set of (dictionary) of such tags. Ontologies are sets or dictionaries of such marks that capture specific knowledge of certain areas of life, technology or problems. The theoretical part of this work aims to explore the history and the development of knowledge representation, the development of ontologies and ontological engineering and semantic web technologies. In the practical part we analyze the SNOMED CT ontology, what is a large actually used ontology. We also design a tool that should help to enhance and simplify the development of ontologies. In the last, a plan is to implement a part of the designed tool.

The present work starts with study of past and current methods from the field of analysis and visualization of social networks. Selected methods are then described in detail. Following part is devoted to research of current software. Selected applications are tested and evaluated according to their capability of showing a development in dynamic social networks -- networks with temporal data. Based on these researches an application is designed and implemented. This application can be used for analysis and visualization of a development of dynamic networks in time. Finally, the application is tested on co-authorship social network by means of the bibliographic database of scientific papers DBLP. The work also presents the results of the experiments with implemented algorithms.

The thesis describes several means of processing statistical data in the ambience of Linked Data and is in particular focused on the utilization of Data Cube Vocabulary metaformat. Its content offers a description of tools related to analysis and visualization of RDF data not only from the statistical view. An indivisible part of this work is the depiction of the Payola tool on whose development is the author still working on. The outcome of this thesis is mainly proposal and consequential implementation of the system that enables a conversion of RDF data in compliance with the DCV vocabularies. The designed system was implemented and integrated to the Payola application. Several other extensions of the system were also implemented by the author. Within the scope of the implementation process there are mentioned also limitations arising from the integration with Payola. In the conclusion the writer describes a few experiments where some of the chosen datasets were applied to the implemented system. Powered by TCPDF (www.tcpdf.org)

This thesis aims at developing a data visualization tool to enhance database learning based on the Verification Driven Learning (VDL) model. The goal of the VDL model is to present abstract concepts in the contexts of real-world systems to students in the early stages of computer science program. In this project, a personnel/training management system has been turned into a learning platform by adding a number of features for visualization and quizzing. We have implemented various tactics to visualize the data manipulation and data retrieval operations in database, as well as the message contents in data messaging channels. The results of our development have been utilized in eight learning cases illustrating the applications of our visualization tool. Each of these learning cases were made by systematically implanting bugs in a functioning component; the students are assigned to identify the bugs and at the same time to learn the structure of the software system active

Neural oscillations are a ubiquitous form of neural activity seen across scales and modalities. These neural rhythms correlate with diverse cognitive functions and brain states. One mechanism for changing the oscillatory dynamics of large neuronal populations is through neuromodulator activity. An intriguing phenomenon explored here is when local neuromodulation of a distinct neuron type within a single brain nucleus exerts a powerful influence on global cortical rhythms. One approach to investigate the impact of local circuits on global rhythms is through optogenetic techniques. My first project involves the statistical analysis of electrophysiological recordings of an optogenetically-mediated Parkinsonian phenotype. Empirical studies demonstrate that Parkinsonian motor deficits correlate with the emergence of exaggerated beta frequency (15-30 Hz) oscillations throughout the cortico-basal ganglia-thalamic network. However, the mechanism of these aberrant oscillatory dynamics is not well understood. A previous modeling study predicted that cholinergic neuromodulation of medium spiny neurons in the striatum of the basal ganglia may mediate the pathologic beta rhythm. Here, this hypothesis was tested using selective optogenetic stimulation of striatal cholinergic interneurons in normal mice; stimulation robustly and reversibly amplified beta oscillations and Parkinsonian motor symptoms. The modulation of global rhythms by local networks was further studied using computational modeling in the context of intrathalamic neuromodulation. While intrathalamic vasoactive intestinal peptide (VIP) is known to cause long-lasting excitation in vitro, its in vivo dynamical effects have not been reported. Here, biophysical computational models were used to elucidate the impact of VIP on thalamocortical dynamics during sleep and propofol general anesthesia. The modeling results suggest that VIP can form robust sleep spindle oscillations and control aspects of sleep architecture through a novel homeostatic mechanism. This homeostatic mechanism would be inhibited by general anesthesia, representing a new mechanism contributing to anesthetic-induced loss of consciousness. While the previous two projects differed in their use of empirical versus theoretical methods, a challenge common to both domains is the difficulty in visualizing and analyzing large multi-dimensional datasets. A tool to mitigate these issues is introduced here: GIMBL-Vis is a Graphical Interactive Multi-dimensional extensiBLe Visualization toolbox for Matlab. This toolbox simplifies the process of exploring multi-dimensional data in Matlab by providing a graphical interface for visualization and analysis. Furthermore, it provides an extensible open platform for distributed development by the community.

A dissertation submitted to the Faculty of Arts, University of the Witwatersrand, Johannesburg, in partial fulfilment of the requirements for the degree, Master of Arts (Psycho!ogy)(By coursework and Research Report). / Despite the well documented advantageous functions of imagery rehearsal as it pertains to sporting performance, the relationship between relaxation, imagery rehearsal ability and brainwave activity has received relatively little attention from sport researchers. With this in mind, the primary purpose of the present study was to invest'gate the possibility of the existence (If such a triadic relationship and consider the implications that this relationship may have on the development of imagery intervention programmes in Sport Psychology. Two male and seven female undergraduate Physical Education students, aged between 18 and 28 years volunteered to participate in the study. The Vividness of Movement Imagery Questionnaire (VMIQ) was administered to all subjects in order to assess each subject's imagery ability. The subjects were then randomly assigned to either the control or to the experimental group. Two weeks after completing the VMIQ, the subjects completed the VMIQ for a second tim, During the second administration of the VMIQ all subjects were attached to an EEG ~ojectroencephalograph) machine. The strategically placed EEG electrodes were attached for the purpose of assessing whether or not significant changes in alpha brainwave patterns were evident during imagery rehearsal. The experimental group differed from the control group in that the experimental group took part in a relaxation exercise prior to completing the VMIQ for a second time, whilst the control group did not receive the relaxation intervention. The results of the study indicated that there was enhanced alpha brainwave activity in the right occipital lobe during the imagery conditions. Whilst it could be speculated from the research findings that imagery ability and. brainwave activity differed from individual to individual and from one imagery condition to another, these differences were not statistically significant. Although not statistically significant, the differences observed between the pre and post-test scores for the experimental group were however purported to be meaningful since three of'the four subjects from the experimental group showed an improvement on imagery ability following the relaxation intervention. This finding justifies the need for future research into the relationship between relaxation and imagery rehearsal. It was also concluded that whilst some subjects emitted the greatest alpha activity during the same imagery dimensions for which they reported the highest imagery abilitiy scores, other subjects emitted the greatest alpha activity during the same imagery dimensions for which they reported the lowest scores in imagery abilitiy. As such, it could not be concluded from the present research findings that a correlation between imagery ability and alpha brainwave activity actually exists.

Scientific data visualizations are the products, and increasingly a core practice, of modern computational science across all domains. With recent science education standards emphasizing student engagement in practices, these scientific visualizations will only increase in their availability and use for K-12 science instruction. But teacher practice is key to the successful learning outcomes for these, and any, educational technology. This study follows eleven science teachers from initial exposure in a PD program through classroom use of scientific data visualizations that address topics in Earth and Space science. The framework of technological pedagogical content knowledge (TPCK) is used to examine key dimensions of teacher knowledge that are activated as they seek to understand the data visualizations and the conceptual models that they represent, select and integrate them into their curriculum, and ultimately use them for instruction. Baseline measures of select dimensions of TPCK are measured for all teachers. Two representative case studies allow for a deep analysis of TPCK in action throughout their professional and instructional experience, and finally the impact on teachers’ knowledge from the experience is examined, with implications for educative curricular material and PD program design.

A study on using colors to represent the floating population of tourists and local residents on the map by each hour in each month. The resulting visualization can assist the decision-making in various areas by providing a vivid description of the movement of people in a day.