The method was proposed for detecting the direction of flow lines in coastal zone aerial photographs. Line integration was used to determine the local direction of the pattern. It was, however, very time consuming to ...
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The method was proposed for detecting the direction of flow lines in coastal zone aerial photographs. Line integration was used to determine the local direction of the pattern. It was, however, very time consuming to get line integration over the image. The projection theorem was used to solve this problem. The method was successfully applied to an actual aerial photograph.
Intrusion and anomaly detection involves various techniques for rule-based as well as soft-computing systems. What is introduced here is a novel approach to network security whereby problematic behavior detection is t...
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Intrusion and anomaly detection involves various techniques for rule-based as well as soft-computing systems. What is introduced here is a novel approach to network security whereby problematic behavior detection is treated as a high to very-high-order polynomial factorization problem. Network security characteristics are drawn from the factorization results and test cases are introduced. The actual details are in the context of the "forward" use case where polynomials are mapped from rule sets. "Reverse" use is also described.
At the University of Virginia, the School of Engineering and Applied Science established a formal distance-learning program in 1983. Both of us have been teaching in this program for nearly 20 years. Between us we hav...
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At the University of Virginia, the School of Engineering and Applied Science established a formal distance-learning program in 1983. Both of us have been teaching in this program for nearly 20 years. Between us we have taught five distinct types of courses, most through multiple iterations. In this paper, we describe our uses of information technology to enhance the learning environment for our students including solids modeling, finite element analysis, computational fluid dynamics, and statistics and datavisualization. We then reflect on the distance learning experience from both the professor's and student perspectives.
To investigate the program-execution data efficiently, we must be able to view the data at different levels of detail. In our visualization approach, we represent software systems at three different levels: statement ...
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ISBN:
(纸本)9780769521633
To investigate the program-execution data efficiently, we must be able to view the data at different levels of detail. In our visualization approach, we represent software systems at three different levels: statement level, file level, and system level. At the statement level, we represent the actual code. The representation at the file level provides a miniaturized view of the source code similar to the one used in the SeeSoft system (Eick et al., 1992). The system level uses treemaps (Shneiderman, 1992 and Bruls et al., 2000) to represent the software and is the most abstracted level in our visualization. At each level, coloring is used to represent one- or two-dimensional information about the code, using the colors' hue and brightness components. The coloring technique that we apply is a generalization of the coloring technique defined for fault-localization by Jones and colleagues (2001). GAMMATELLA is a toolset that implements our visualization approach and provides capabilities for instrumenting the code, collecting program-execution data from the field, and storing and retrieving the data locally. GAMMATELLA is written in Java, supports the monitoring of Java programs, and consists of three main components: an instrumentation, execution, and coverage tool, a data collection daemon, and a program visualizer.
It is speculated that the processing of different types of information (e.g., quantitative, ordinal, or nominal data) will be affected by what type of visual display is used to present that information (e.g.. line gra...
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It is speculated that the processing of different types of information (e.g., quantitative, ordinal, or nominal data) will be affected by what type of visual display is used to present that information (e.g.. line graphs, shapes with varying levels of gray saturation, or shapes of different colors). People are expected to be able to more efficiently and accurately process and answer questions about the visual displays if the type of display (i.e., the representing dimension) provides neither too much nor too little information and matches the type of information (i.e., the represented dimension) being processed. In the present study we found that in general task performance was best when the represented and representing dimensions match. An exception to this is discussed.
This paper describes the core theories and enabling technologies developed for molecular imaging at the BMIT Group and the CMSP Center over the last 10 years, in the areas of dynamic image data acquisition, compressio...
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ISBN:
(纸本)1920682112
This paper describes the core theories and enabling technologies developed for molecular imaging at the BMIT Group and the CMSP Center over the last 10 years, in the areas of dynamic image data acquisition, compression, storage, management, modeling, simulation, analysis, processing, registration, and visualization.
An interactive tool has been developed for visualizing and creating scaled battlefield based scenarios for use in a simulation testbed to develop and test distributed data fusion and ad-hoc networking algorithms. This...
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ISBN:
(纸本)9780780387867
An interactive tool has been developed for visualizing and creating scaled battlefield based scenarios for use in a simulation testbed to develop and test distributed data fusion and ad-hoc networking algorithms. This paper discus the design requirements and implementation issues for developing such a tool. Two main design goals were to enable design of complex scenarios in an intuitive and easy fashion, and provide a complete set of decision support utilities. The tool, called SceneGen, supports 3D visualization for creating scenarios and overcoming challenges including geospatial (GIS and Terrain) data management, entity information management and waypoint/path specification. The scenario generator includes a number of sensor and target models and provides database support to manage different fusion and network algorithms. This tool was implemented and tested successfully with several sample scenarios.
Dealing with visualizations containing large data set is a challenging issue and, in the field of information visualization, almost every visual technique reveals its drawback when visualizing large number of items. T...
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Dealing with visualizations containing large data set is a challenging issue and, in the field of information visualization, almost every visual technique reveals its drawback when visualizing large number of items. To deal with this problem we introduce a formal environment, modeling in a virtual space the image features we are interested in (e.g, absolute and relative density, clusters, etc.) and we define some metrics able to characterize the image decay. Such metrics drive our automatic techniques (i.e., not uniform sampling) rescuing the image features and making them visible to the user. In This work we focus on 2D scatter-plots, devising a novel non uniform data sampling strategy able to preserve in an effective way relative densities.
Functional magnetic resonance imaging (fMRI) is a complex imaging modality that provides high resolution, non-invasive maps of neural activity in brain tissue. Neuroscientists use fMRI to probe brain function using co...
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Functional magnetic resonance imaging (fMRI) is a complex imaging modality that provides high resolution, non-invasive maps of neural activity in brain tissue. Neuroscientists use fMRI to probe brain function using complex cognitive and linguistic experiments. An important aspect of these experiments is the visualization of neural activations over a period of time as manifested by voxel intensity of two (or three) dimensional images across the temporal analysis dimension. Scopira is a modular algorithm development framework that consists of a user-friendly visual layout environment with a comprehensive set of scientific algorithms for biomedical dataanalysis. However, presently it lacks the facility for volumetric display, which is especially important to map neural activations from functional (low resolution) to anatomical (high resolution) images. In this paper, we present a volumetric display and analysis system for fMRI data using Scopira and the OpenGL library. Results have been presented to demonstrate the new software.
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