No description available.

International Telemetering Conference Proceedings / October 26-29, 1992 / Town and Country Hotel and Convention Center, San Diego, California / The Institute for Flight Mechanics operates the flying simulators ATTAS (a wing aircraft) and ATTHeS (a helicopter), their respective ground based simulators and uses realtime and offline simulations for system identification and other purposes. Based on a parallel transputer architecture, a 3D-graphics tool for visualization and view simulation to be used with the simulations has been developed. The tool uses data received by telemetry, realtime data from a simulation, or recorded data to show the movement and orientation of an aircraft in realtime 3D-graphics. The aircraft or scene may be observed from any point of view. Placing the camera in the cockpit of the aircraft and showing the environment results in a view simulation. The use of a parallel transputer architecture allows a modular and scalable structure, i.e. the system may be adapted to the needs of the application. By adding software modules and transputers we may include 24 bit colour, shadowing, a higher resolution, a better shading algorithm or other things which are required by an application. On the other hand we may remove transputers to get a small and cheap system if the requirements are low. A small system may consist of only 8 transputers, whereas a big system may include 50 or 60 transputers.

The digitalisation of information now affects most fields of human activity. From the social sciences to biology to physics, the volume, velocity, and variety of data exhibit exponential growth trends. With such rates of expansion, efforts to understand and make sense of datasets of such scale, how- ever driven and directed, progress only at an incremental pace. The challenges are significant. For instance, the ability to display an ever growing amount of data is physically and naturally bound by the dimensions of the average sized display. A synergistic interplay between statistical analysis and visualisation approaches outlines a path for significant advances in the field of data exploration. We can turn to statistics to provide principled guidance for prioritisation of information to display. Using statistical results, and combining knowledge from the cognitive sciences, visual techniques can be used to highlight salient data attributes. The purpose of this thesis is to explore the link between computer science, statistics, visualization, and the cognitive sciences, to define and develop more systematic approaches towards the design of glyphs. Glyphs represent the variables of multivariate data records by mapping those variables to one or more visual channels (e.g., colour, shape, and texture). They offer a unique, compact solution to the presentation of a large amount of multivariate information. However, composing a meaningful, interpretable, and learnable glyph can pose a number of problems. The first of these problems exist in the subjectivity involved in the process of data to visual channel mapping, and in the organisation of those visual channels to form the overall glyph. Our first contribution outlines a computational technique to help systematise many of these otherwise subjective elements of the glyph design process. For visual information compression, common patterns (motifs) in time series or graph data for example, may be replaced with more compact, visual representations. Glyph-based techniques can provide such representations that can help users find common patterns more quickly, and at the same time, bring attention to anomalous areas of the data. However, replacing any data with a glyph is not going to make tasks such as visual search easier. A key problem is the selection of semantically meaningful motifs with the potential to compress large amounts of information. A second contribution of this thesis is a computational process for systematic design of such glyph libraries and their subsequent glyphs. A further problem in the glyph design process is in their evaluation. Evaluation is typically a time-consuming, highly subjective process. Moreover, domain experts are not always plentiful, therefore obtaining statistically significant evaluation results is often difficult. A final contribution of this work is to investigate if there are areas of evaluation that can be performed computationally.

The wide spread of GPS devices capable of recording motion tracks has provided a huge amount of GPS track data with lots of information that can be used in various ways. Typical use of the data is to visualize the trajectory, but this is certainly only elementary use of the data. Additional processing, filtering and altering of data can significantly improve their information value. For example identification of popular places or routes, detection and removal of inaccurate parts of tracks, accenting speed or elevation progress on track, etc. The aim of the thesis is to identify and describe best solutions to process and visualize GPS track datasets. That means analysis of a standalone track, mutual comparison of several tracks or identification of characteristics of a large tracks set. The thesis will include a prototype implementation of selected described methods.

Multi-resolution visualization (MRV) systems are widely used for handling large amounts of information. These systems look different but they share many common features. The visualization research community lacks a general framework that summarizes the common features among the wide variety of MRV systems in order to help in MRV system design, analysis, and enhancement. This dissertation proposes such a general framework. This framework is based on the definition that a MRV system is a visualization system that visually represents perceptions in different levels of detail and allows users to interactively navigate among the representations. The visual representations of a perception are called a view. The framework is composed of two essential components: view simulation and interactive visualization. View simulation means that an MRV system simulates views of non-existing perceptions through simplification on the data structure or the graphics generation process. This is needed when the perceptions provided to the MRV system are not at the user's desired level of detail. The framework identifies classes of view simulation approaches and describes them in terms of simplification operators and operands (spaces). The simplification operators are further divided into four categories, namely sampling operators, aggregation operators, approximation operators, and generalization operators. Techniques in these categories are listed and illustrated via examples. The simplification operands (spaces) are also further divided into categories, namely data space and visualization space. How different simplification operators are applied to these spaces is also illustrated using examples. Interactive visualization means that an MRV system visually presents the views to users and allows users to interactively navigate among different views or within one view. Three types of MRV interface, namely the zoomable interface, the overview + context interface, and the focus + detail interface, are presented with examples. Common interaction tools used in MRV systems, such as zooming and panning, selection, distortion, overlap reduction, previewing, and dynamic simplification are also presented. A large amount of existing MRV systems are used as examples in this dissertation, including several MRV systems developed by the author based on the general framework. In addition, a case study that analyzes and suggests possible improvements for an existing MRV system is described. These examples and the case study reveal that the framework covers the common features of a wide variety of existing MRV systems, and helps users analyze and improve existing MRV systems as well as design new MRV systems.

No description available.

Three prominent jazz trumpeters, who cite visual experiences of colors, shapes, contours, or transcription – elements not directly related to the aural information typically described in the improvisational process – were selected and interviewed for this study. Each subject was asked to describe their conscious processes and visual experiences while improvising, with emphasis on personal development, content and musical intent. Additionally, each subject selected a recorded improvised solo to be analyzed and discussed, comparing traditional musical analytical techniques to their corresponding visual experiences. Pedagogical elements related to jazz education and personal practice were also included.

Thesis (M. S.)--Texas A&M University, 2006. / "Major Subject: Visualization Sciences" Title from author supplied metadata (automated record created on Feb. 23, 2007.) Vita. Abstract. Includes bibliographical references.

Thesis (M. S.)--Texas A&M University, 2006. / "Major Subject: Visualization Sciences" Title from author supplied metadata (automated record created on Feb. 23, 2007.) Vita. Abstract. Includes bibliographical references.

Thesis (M. S.)--Texas A&M University, 2006. / "Major Subject: Visualization Sciences" Title from author supplied metadata (automated record created on Feb. 23, 2007.) Vita. Abstract. Includes bibliographical references.