This paper will introduce the Hilbert-Huang Transform for analysis of Universal blind steganalysis detection task. Firstly, This method use its efficient unsteady-state modeling ability to constucte features of stegan...
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ISBN:
(纸本)9780819488473
This paper will introduce the Hilbert-Huang Transform for analysis of Universal blind steganalysis detection task. Firstly, This method use its efficient unsteady-state modeling ability to constucte features of steganography object and adopt independent variable analysis method to extract and refine feature. In the classification stage, by constructing the compound ANOVN kernel function of the Steganalysis field to improve data processing capabilities of nonlinear.
A vast amount of human experience records is stored in many fields. For understanding and using such chronicles effectively, it is useful to find stories embedded in records. In this paper, we regard a story as a sequ...
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Accurately modeling many physical and biological systems requires simulating at multiple scales. This results in large heterogeneous data sets on vastly differing scales, both physical and temporal. To address the cha...
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dataanalysis has been widely used in the enterprises for its high efficiency and accuracy, especially in the field of telecommunication industry, such as User Behavior analysis, Customer Churn Prediction, etc. Howeve...
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Since a heterogeneous network in general is too complex to be visually analyzed as graphs, we propose the alternative method for visualizing a heterogeneous network as a non-graph visualization. In this paper, we stud...
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The IDX data format provides efficient, cache oblivious, and progressive access to large-scale scientific datasets by storing the data in a hierarchical Z (HZ) order. data stored in IDX format can be visualized in an ...
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ISBN:
(纸本)9780769545165
The IDX data format provides efficient, cache oblivious, and progressive access to large-scale scientific datasets by storing the data in a hierarchical Z (HZ) order. data stored in IDX format can be visualized in an interactive environment allowing for meaningful explorations with minimal resources. This technology enables real-time, interactive visualization and analysis of large datasets on a variety of systems ranging from desktops and laptop computers to portable devices such as iPhones/iPads and over the web. While the existing ViSUS API for writing IDX data is serial, there are obvious advantages of applying the IDX format to the output of large scale scientific simulations. We have therefore developed PIDX - a parallel API for writing data in an IDX format. With PIDX it is now possible to generate IDX datasets directly from large scale scientific simulations with the added advantage of real-time monitoring and visualization of the generated data. In this paper, we provide an overview of the IDX file format and how it is generated using PIDX. We then present a data model description and a novel aggregation strategy to enhance the scalability of the PIDX library. The S3D combustion application is used as an example to demonstrate the efficacy of PIDX for a real-world scientific simulation. S3D is used for fundamental studies of turbulent combustion requiring exceptionally high fidelity simulations. PIDX achieves up to 18 GiB/s I/O throughput at 8,192 processes for S3D to write data out in the IDX format. This allows for interactive analysis and visualization of S3D data, thus, enabling in situ analysis of S3D simulation.
Learning within a STEM classroom environment can be greatly enhanced by engaging the students in real-world datasets. This provides the opportunity to go beyond textbook examples that are often only marginally close t...
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Much of the work conducted in climate research involves large and heterogeneous datasets with spatial and temporal references. This makes climate research an interesting application area for visualization. However, th...
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ISBN:
(纸本)9780769544762
Much of the work conducted in climate research involves large and heterogeneous datasets with spatial and temporal references. This makes climate research an interesting application area for visualization. However, the application of interactive visual methods to assist in gaining insight into climate data is still hampered for climate research scientists, who are usually not visualization experts. In this paper, we report on a survey that we conducted to evaluate the application of interactive visualization methods and to identify the problems related to establishing such methods in scientific practice. The feedback from 76 participants shows clearly that state-of-the-art techniques are rarely applied and that integrating existing solutions smoothly into the scientists workflow is problematic. We have begun to change this and present first results that illustrate how interactive visualization tools can be successfully applied to accomplish climate research tasks. As a concrete example, we describe the visualization of climate networks and its benefits for climate impact research.
This paper discusses issues related to the visualization of building performance data and describes a novel visualization technique that supports effective analysis of this data. The technique illustrates a dataset ag...
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This paper discusses issues related to the visualization of building performance data and describes a novel visualization technique that supports effective analysis of this data. The technique illustrates a dataset against two binned variables by representing a statistical property of each bin (typically the mean) using a carpet-contour plot. Contour lines and values are also overlaid on the plot so that the analyst does not need to refer to a separate legend to identify the value at a given location. The paper presents examples from three case studies using data from: a) a whole building energy model;b) a project focusing on calibration of an energy simulation model of a large building to hourly measured data;c) a Monitoring and Targeting project for an automated lighting system.
The reconstruction of a continuous function from discrete data is a basic task in many applications such as the visualization of 3D volumetric data sets. We use a local approximation method for quadratic C-1 splines o...
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ISBN:
(纸本)9780819484055
The reconstruction of a continuous function from discrete data is a basic task in many applications such as the visualization of 3D volumetric data sets. We use a local approximation method for quadratic C-1 splines on uniform tetrahedral partitions to achieve a globally smooth function. The spline is based on a truncated octahedral partition of the volumetric domain, where each truncated octahedron is further split into a fixed number of disjunct tetrahedra. The Bernstein-Bezier coefficients of the piecewise polynomials are directly determined by appropriate combinations of the data values in a local neighborhood. As previously shown, the splines provide an approximation order two for smooth functions as well as their derivatives. We present the first visualizations using these splines and show that they are well-suited for GPU-based, interactive high-quality visualization of isosurfaces from discrete data.
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