Characterization of the spatial distribution, shape properties and preferred orientation of structural elements at a wide range of scales is at the heart of tectonic analysis. This study attempts to explore a virtual ...
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ISBN:
(纸本)0973422017
Characterization of the spatial distribution, shape properties and preferred orientation of structural elements at a wide range of scales is at the heart of tectonic analysis. This study attempts to explore a virtual 3-D reconstruction of mylonite microfabric in order to determine what new analysis opportunities are available and what, if any, problems are encountered in this kind of study. From the primary data of scanned and digitized serial sections of a mylonitic sample, a dense 3-D voxel-based model was constructed. We present various visualizations of the model and highlight issues relating to data density, porphyroclast classification by intensity thresholding, interpolation and representation. The goal of providing a geologist with a better environment to characterize the cumulative strain fabric from hand sample-sized objects was kept in mind. At the same time, an opportunity to develop better approaches to characterizing natural vector fields at all scales may emerge from this study.
We investigate accuracy, neural network complexity and sample size problem in multilayer perceptron (MLP) based (neuro-linear) feature extraction. For feature extraction we use weighted sums calculated in hidden units...
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ISBN:
(纸本)3540288694
We investigate accuracy, neural network complexity and sample size problem in multilayer perceptron (MLP) based (neuro-linear) feature extraction. For feature extraction we use weighted sums calculated in hidden units of the MLP based classifier. Extracted features are utilized for data visualisation in 2D and 3D spaces and interactive formation of the pattern classes. We show analytically how complexity of feature extraction algorithm depends on the number of hidden units. Sample size-complexity relations investigated in this paper showed that reliability of the neuro-linear feature extraction could become extremely low if number of new features is too high. Visual interactive inspection of data projection may help an investigator to look differently at the forecasting problem of the financial time series.
Managing the operation of large, networked systems is becoming increasingly complex. Often, critical information about the system is getting lost in a tidal wave of data. A particularly germane example is the electric...
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ISBN:
(纸本)0769522688
Managing the operation of large, networked systems is becoming increasingly complex. Often, critical information about the system is getting lost in a tidal wave of data. A particularly germane example is the electric power grid, as evidenced by the problems experienced in the August 14th 2003 blackout. One of the key causes of the blackout was the people operating the system in various regions through the eastern part of North America did not have access to the "big picture." The focus of this mini-track is on the management, analysis, and visualization of systems characterized by extremely large sets of data that cover spatial, temporal and contingent dimensions. The mini-track contains four papers.
Tomogram of eyeground images by Optical Coherence Tomography(OCT) are a set of the echo information on a minute portion by the scanning beam. These images contain many random noises and gap between images. Images of O...
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ISBN:
(纸本)0769522815
Tomogram of eyeground images by Optical Coherence Tomography(OCT) are a set of the echo information on a minute portion by the scanning beam. These images contain many random noises and gap between images. Images of OCT are strongly influenced of the motion-induced artifacts during the image acquisition, pulsation by the living body organization. Therefore, it is difficult to form 3D volume images. In this research, a noise removal of 2D images and position alignment processing were performed as a pretreatment of 3D visualization. 3D images contribute to medical treatment Of eyeground disease and informed consent. We utilized a texture-based volume rendering technique, and evaluated the usefulness of the 3D eyeground model in the medical treatment of eyeground disease.
The analysis of the distribution of pharmaceutical materials in tablet formulations, such as drugs and matrix elements, is critical to product performance and is used in such areas as quality control, impurity testing...
The analysis of the distribution of pharmaceutical materials in tablet formulations, such as drugs and matrix elements, is critical to product performance and is used in such areas as quality control, impurity testing, and process monitoring. Recently imaging techniques, such as Raman, near-IR, and fluorescence imaging, have become popular for "visualization" of pharmaceutical formulations, allowing for spatial and chemical composition information to be obtained simultaneously. These methods have been primarily focused on molecular imaging, or spatial analysis of the molecular characteristics of the tablet formulation. However, elemental species are also an important part of pharmaceuticals. Micro X-ray fluorescence (MXRF) elemental imaging offers complementary information to molecular imaging techniques. In this study, MXRF was used for the elemental imaging of various commercial pharmaceutical drug and vitamin supplements. Specifically, elemental composition and heterogeneity were monitored for each different tablet. (c) 2005 International Centre for Diffraction data.
The proceedings contain 70 papers. The topics discussed include: suppressive method of narrow band interference in upstream channel of HFC;comparative performance of TCP variants on self-similar traffic;tomographic im...
ISBN:
(纸本)1424400112
The proceedings contain 70 papers. The topics discussed include: suppressive method of narrow band interference in upstream channel of HFC;comparative performance of TCP variants on self-similar traffic;tomographic imaging : multiple fan beam projection technique using optical fibre sensors;two-channel data acquisition unit for heart sound analysis;microwave radiation safety assessment near cellular base stations;data acquisition process in optical tomography : signal sample and hold circuit;stereo image to stereo sound methods for vision based ETA;adaptive system identification paradigims and air duct system identification;derivation of path reduction factor from the Malaysian meteorological radar data;photoplethysmograph sensor based on light-to-frequency converter;angular features analysis for gait recognition;development of a control system for laser Doppler imaging scanning technique using Labview;and non-invasive ultrasonic tomography: liquid/gas flow visualization.
We present in this paper our recent developments dealing with computer-assisted music analysis. Our focus is in a new syntax that extends the patternmatching part of our constraint-based system called PWConstraints. P...
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We present in this paper our recent developments dealing with computer-assisted music analysis. Our focus is in a new syntax that extends the patternmatching part of our constraint-based system called PWConstraints. PWConstraints can be used both to generate musical material or to analyze existing scores. The syntax allows to refer to more high-level entities in a score than before, resulting in compact analysis rules that use only a minimal set of primitives. Rules can return expression objects which can be used to visualize analytical information directly in a score. The compiler can be extended to support new score accessor keywords by special compiler methods. The new syntax and visualization of analysisdata is explained and demonstrated with the help of several analysis examples.
In the design of vehicles of public transport as much as private, it is important to know the real load properties which are put under the vehicle. Although typical load histories are available, these files were obtai...
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ISBN:
(纸本)0769522831
In the design of vehicles of public transport as much as private, it is important to know the real load properties which are put under the vehicle. Although typical load histories are available, these files were obtained in other countries where the conditions of the ways and the operation of the vehicles are very different. In order to be able to obtain histories of loads in the conditions of our country, a system based on a wireless sensing modules network has been developed to measure deformations, temperature and accelerations in multiple points of the vehicle in real time. The obtained data of each sensor is prepared, processed, stored and transmitted in time intervals towards a receiver, which is in charge to send them to a Internet server for its storage, visualization and analysis for any user connected to the network who have accessibility to the collected information and can make the pertinent procedures and actions. In this work the design of the instrumentation system is based on a wireless sensing modules network and its uses the GPRS protocol which is based on GSM cellular technology, it permit send all the data received from each wireless module to the server host.
We propose a methodology to monitor the quality of the meta-data used to describe content in web portals. It is based on the analysis of the meta-data using statistics, visualization and data mining tools. The methodo...
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Probabilistic Latent Semantic analysis (pLSA) is a powerful statistical technique to analyze relation between factors in dyadic data Although various pLSA-based applications, ranging from information retrieval, inform...
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ISBN:
(纸本)076952432X
Probabilistic Latent Semantic analysis (pLSA) is a powerful statistical technique to analyze relation between factors in dyadic data Although various pLSA-based applications, ranging from information retrieval, information filtering, to text-mining and visualization, have been successfully conducted, they can not afford dynamic revising of model when one of the factors changes constantly. In this paper, we take the advantage of decoupling ability of pLSA thoroughly, and propose a more elegant approach based on maximum likelihood estimation to gain an incremental learning with the drift of a factor. We demonstrate our method in the context Of collaborative filtering where single user interests change fast, but the community interests remain almost constant. Experiments against the MovieLens and EachMovie data sets reveal that the proposed method improves the recommending accuracy 10% further beyond the original pLSA at a less computation cost.
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