This research is focused on developing effective visualization tools for query construction and advanced exploration of temporal relational databases. Temporal databases enable the retrieval of each of the states obse...
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At present, although most of the literatures about Virtual Instruments (VI) are based on LabVIEW, it lacks of flexibility and expansibility as a graphical development environment. In order to program a short cycle, fr...
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ISBN:
(纸本)1424411351
At present, although most of the literatures about Virtual Instruments (VI) are based on LabVIEW, it lacks of flexibility and expansibility as a graphical development environment. In order to program a short cycle, friendly interface, easy-to-use and easy-to-repot application, the paper uses visual C++. Net and Measurement Studio instead of LabVIEW as the platform. Measurement Studio includes a visual C++ application wizard and a full set of C++ class libraries for creating measurement applications. Measurement Studio defines data types that simplify C++ programming for measurement applications and uses these data types across the various class libraries, from acquisition, to analysis, to visualization. Furthermore, the Measurement Studio class libraries work in combination with the proven Microsoft Foundation Class libraries so we can easily build standard Windows applications. In addition, the program adopts multithreading technique, ActiveX data Object (ADO) database access technique and visual C++ Extensions for ADO data binding technique to improve the speed of data acquisition and storage and reduce the complexity of data type convert.
data quality is an important topic for many fields because real-world data is rarely perfect. analysis conducted on data of variable quality can lead to inaccurate or incorrect results. To avoid this problem, research...
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ISBN:
(纸本)9780769529035
data quality is an important topic for many fields because real-world data is rarely perfect. analysis conducted on data of variable quality can lead to inaccurate or incorrect results. To avoid this problem, researchers have introduced visual elements and attributes into traditional visualization displays to represent data quality information in conjunction with the original data. However little work thus far has focused on creating an interactive interface to enable users to explicitly explore that data quality information. In this paper, we propose a framework for the linkage between data space and quality space for multivariate visualizations. Moreover, we introduce two novel techniques, quality brushing and quality-series animation, to help users with the exploration of this linkage. A visualization technique specifically designed for the quality space, called the quality map, is proposed as a means to help users create and manipulate quality brushes. We present some interesting case studies to show the effectiveness of our approaches.
This paper presents a technique that allows viewers to visually analyze, explore, and compare a storage controller's performance. We present an algorithm that visualizes storage controller's performance metric...
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ISBN:
(纸本)9780819466082
This paper presents a technique that allows viewers to visually analyze, explore, and compare a storage controller's performance. We present an algorithm that visualizes storage controller's performance metrics along a traditional 2D grid or a linear space-filling spiral. We use graphical "glyphs" (simple geometric objects) that vary in color, spatial placement and texture properties to represent the attribute values contained in a data element. When shown together, the glyphs form visual patterns that support exploration, facilitate discovery of data characteristics, relationships, and highlight trends and exceptions. We identified four important goals for our project: 1. Design a graphical glyph that supports flexibility in its placement, and in its ability to represent multidimensional data elements. 2. Build an effective visualization technique that uses glyphs to represent the results gathered from running different tests on the storage controllers by varying their performance parameters. 3. Build an effective representation to compare the performance of storage controller(s) during different time intervals. 4. Work with domain experts to select properties of storage controller performance data that are most useful to visualize.
On Line Analytical Processing (OLAP) is a technology basically created to provide users with tools in order to explore and navigate into data cubes. Unfortunately, in huge and sparse data, exploration becomes a tediou...
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A timing chain drive transfers motion from the engine's crankshaft to the camshaft that operates the valves. The design process of timing chain drives involves computer simulation of many design variants in order ...
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ISBN:
(纸本)9780769529035
A timing chain drive transfers motion from the engine's crankshaft to the camshaft that operates the valves. The design process of timing chain drives involves computer simulation of many design variants in order to find an optimum. Most of the simulation results can be represented as families of function graphs (data series). Previously, the analysis of those results was based on static 2D diagrams and animated 3D visualizations. They were suitable for the detailed analysis of a few simulation variants, but not for the comparison of many cases. In this paper we propose a new approach to the analysis based on coordinated linked views and advanced brushing features. Our proposed method supports the interactive analysis of many design variants. We introduce a novel view, called segmented curve view, which can display distributions in families of function graphs. The segmented curve view combines individual function graphs where for a fixed value of the independent variable, a bar extends from minimum to maximum values across the family of function graphs. Each bar is divided into segments (bins) with a color that represents the number of function graphs with the value in that segment. In the case study, we demonstrate that the new view combined with "traditional" views provides a strong support for the interactive visualexploration and analysis of a real world timing chain design problem.
Hyperspectral imagery is a new type of high-dimensional image data which is now used in many Earth-based and planetary exploration applications. Many efforts have been devoted to designing and developing compression a...
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ISBN:
(纸本)9783540744658
Hyperspectral imagery is a new type of high-dimensional image data which is now used in many Earth-based and planetary exploration applications. Many efforts have been devoted to designing and developing compression algorithms for hyperspectral imagery. Unfortunately, most available approaches have largely overlooked the impact of mixed pixels and subpixel targets, which can be accurately modeled and uncovered by resorting to the wealth of spectral information provided by hyperspectral image data. In this paper, we develop an FPGA-based data compression technique which relies on the concept of spectral unmixing, one of the most popular approaches to deal with mixed pixels and subpixel targets in hyperspectral analysis. The proposed method uses a two-stage approach in which the purest pixels in the image (endmembers) are first extracted and then used to express mixed pixels as linear combinations of end-members. The result is an intelligent, application-based compression technique which has been implemented and tested on a Xilinx Virtex-ii FPGA.
This paper presents new features recently added to a general-purpose surge simulation code based on the Finite Difference Time Domain (FDTD) method. The added features include various-shape conductor models, lumped-pa...
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This paper presents new features recently added to a general-purpose surge simulation code based on the Finite Difference Time Domain (FDTD) method. The added features include various-shape conductor models, lumped-parameter circuit-element models, a lightning-channel model, and an integrated analysis environment (IAE). For precisely modelling the shapes of various conductors, the following conductor models have been added: inclined thin wire;disc;square plate;cylinder;cone;and quadrangular pyramid. The lumped-parameter circuit-element models allow the user to represent the lumped impedance of an apparatus placed inside the analysis space. The lightning-channel model realizes a return-stroke development at a speed slower than the light speed. The IAE includes a Graphical User Interface (GUI), which allows the user to enter geometrical data in a visual way. It also provides a waveform plotting program for viewing voltage, current, electric-field, and magnetic-field waveforms and a movie program for displaying the animation of a transient electric/magnetic field intensity distribution. For an illustrative example, the lightning overvoltage calculation of a transmission tower is presented. (C) 2006 Elsevier B.V. All rights reserved.
A recent breakthrough in application of experimental methods to biomedicine not only has already resulted in accumulation of massive amounts of data, but also created new challenges in the field of data mining. This p...
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A recent breakthrough in application of experimental methods to biomedicine not only has already resulted in accumulation of massive amounts of data, but also created new challenges in the field of data mining. This paper addresses the issue by combining advanced data mining techniques with the novel application of systems biology t o study axonal regeneration and neurogenesis. To obtain the data for analysis, a series of biological experiments are conducted, in which the rat pheochromocytoma cell PC-12 was used as an appropriate model for neuronal differentiation. The resulting DNA microarray data set is studied using a combination of methods - a statistical procedure for feature selection together with a dimensionality reduction technique. First, we apply feature selection, which can be based either on the Wilcoxon rank-sum test, or on the two-sample t-test, depending on the statistical properties of the data. Next, we utilized an efficient dimensionality reduction procedure called correspondence analysis to obtain a two-dimensional projection of the data, which allows us to perform a visualexploration of the patterns as well as to select the features corresponding to the top down-regulated and up-regulated genes.
The paper reconsiders the role of money and banking in monetary policy analysis by including a banking sector and money in an optimizing model otherwise of a standard type. The model is implemented quantitatively, wit...
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The paper reconsiders the role of money and banking in monetary policy analysis by including a banking sector and money in an optimizing model otherwise of a standard type. The model is implemented quantitatively, with a calibration based on US data. It is reasonably successful in providing an endogenous explanation for substantial steady-state differentials between the interbank policy rate and (i) the collateralized loan rate, (ii) the uncollateralized loan rate, (iii) the T-bill rate, (iv) the net marginal product of capital, and (v) a pure intertemporal rate. We find a differential of over 3% p.a. between (iii) and (iv), thereby contributing to resolution of the equity premium puzzle. Dynamic impulse response functions imply pro- or counter-cyclical movements in an external finance premium that can be of quantitative significance. In addition, they suggest that a central bank that fails to recognize the distinction between interbank and other short rates could miss its appropriate settings by as much as 4% p.a. Also, shocks to banking productivity or collateral effectiveness call for large responses in the policy rate. (c) 2007 Elsevier B.V. All rights reserved.
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