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A posture monitoring system using accelerometers

A posture monitoring system using accelerometers

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Canadian conference on Electrical and Computer Engineering (CCECE)

作者： R.J. Nevins N.G. Durdle V.J. Raso Dept of Electrical & Computer Engineering University of Alberta Canada Glenrose Rehabilitation Site Captial Health Authority Rehabiliation Technology Canada

A new method of monitoring spinal posture in the sagittal plane is presented. Posture is measured during activities of daily living utilizing accelerometer inclinations of six points along a subject's spine. The over sampled, low frequency filtered data can be monitored and collected over extended periods (up to four weeks) utilizing the inexpensive, low-power, portable data logger developed in the course of this research. The data logger utilizes 7 processors to collect and store data onto an MS-DOS formatted CompactFlash card for later analysis. Two trials were done: regimented postures across a one hour period and unregimented activities during a five hour period. data was then visualized graphically and compared to noted postures and activities. The system was designed to be accurate to within /spl plusmn/0.5/spl deg/. Measured precision was found to be within /spl plusmn/0.39/spl deg/. This system will be useful for monitoring changes in back curvature resulting from surgery or treatment.

关键词： Accelerometers Sensor phenomena and characterization Computerized monitoring Gravity Mechanical sensors Back Stress Satellites Assembly data visualization

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Software quality analysis with the use of computational intelligence

Software quality analysis with the use of computational inte...

引用

IEEE International conference on Fuzzy Systems (FUZZ-IEEE)

作者： M. Reformat W. Pedrycz N.J. Pizzi University of Alberta Edmonton AB Canada National Research Council Winnipeg MAN Canada

Effectiveness and clarity of software objects, their adherence to coding standards and programming habits of programmers are important features of overall quality of software systems. This paper proposes an approach towards a quantitative software quality assessment with respect to extensibility, reusability, clarity and efficiency. It exploits techniques of Computational Intelligence (CI) that are treated as a consortium of granular computing, neural networks and evolutionary techniques. In particular, we take advantage of self-organizing maps to gain a better insight into the data, and study genetic decision trees-a novel algorithmic framework to carry out classification of software objects with respect to their quality. Genetic classifiers serve as a "quality filter" for software objects. Using these classifiers, a system manager can predict quality of software objects and identify low quality objects for review and possible revision. The approach is applied to an object-oriented visualization-based software system for biomedical data analysis.

关键词： Software quality Software systems Genetics Software standards Programming profession Computational intelligence Computer networks Neural networks Self organizing feature maps Decision trees

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Real-time reconstruction of wavelet encoded meshes for view-dependent transmission and visualization

Real-time reconstruction of wavelet encoded meshes for view-...

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IEEE International conference on Image Processing

作者： P. Gioia O. Aubault C. Bouville France Telecom R & D France

Wavelet methods for geometry encoding is a recently emerged superset of multiresolution analysis which has proven to be very efficient in term of compression and adaptive transmission of 3D content. The decorrelating power and space/scale localization of wavelets enable efficient compression of arbitrary meshes as well as progressive and local reconstruction. Recent techniques based on zerotree compression have shown to be among the best lossy mesh compression methods, while remaining compatible with selective transmission of geometric data at various level of detail. While some progressive reconstruction schemes have been proposed in the past, we show in this paper that this representation, recently proposed in the MPEG4 standard, can be efficiently used to perform real-time, view-dependent reconstruction of large meshes. The proposed system combines algorithms for local updates, cache management and server/client dialog. The local details management is an improvement of progressive reconstructions built on top of hierarchical structures. It enables fast, homogeneous accommodation and suppression of wavelet coefficients at any level of subdivision, with time complexity independent of the size of the reconstructed mesh. The cache structure wisely exploits the hierarchical character of the received data, in order to avoid redundant information transmission. The whole system enables the client to have total control on the quality of navigation according to its storage and processing capabilities, whatever the size of the mesh.

关键词： visualization Wavelet analysis Geometry Encoding Multiresolution analysis Decorrelation Propagation losses MPEG 4 Standard Wavelet coefficients Size control

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Face recognition using extended isomap

Face recognition using extended isomap

引用

IEEE International conference on Image Processing

作者： Ming-Hsuan Yang Honda Fundamental Research Laboratories Mountain View CA USA

The isomap method has demonstrated promising results in finding low dimensional manifolds from samples in high dimensional input space. While conventional subspace methods compute L/sub 1/ or L/sub 2/ metrics to represent distances between samples and apply principal component analysis or similar to induce linear manifolds, the isomap method estimates the geodesic distance between samples and then uses multidimensional scaling to induce a low dimensional manifold. Since the isomap method is based on the reconstruction principle, it may not be optimal from the classification viewpoint. We present an extended isomap method that utilizes the Fisher linear discriminant for pattern classification. Numerous experiments on image data sets show that our extension is more effective than the original isomap method for pattern classification. Furthermore, the extended isomap method shows promising results compared with the best classification methods in the literature.

关键词： Face recognition Principal component analysis Multidimensional systems Pattern classification Geophysics computing Geometry Image reconstruction data visualization Pattern recognition Euclidean distance

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Numerical image enhancement for THz time-domain spectroscopy

Numerical image enhancement for THz time-domain spectroscopy

引用

International conference on Terahertz Electronics

作者： C. Schildknecht T. Kleine-Ostmann P. Knobloch E. Rehberg M. Koch Institut for Hochfrequenztechnik Technische Universitäat Braunschweig Brunswick Germany Hals-Nasen-Ohrenklinik der Justus-Leibig Universität Gieβen Gieben Germany

Applies numerical image enhancement methods to THz time-domain spectroscopy images in order to improve the quality of experimental data suffering from low resolution and finite focus diameter aperture effects. As an e... 详细信息

关键词： Image enhancement Time domain analysis Spectroscopy Spatial resolution Apertures Image resolution Biomedical imaging visualization High-resolution imaging Focusing

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data mining information visualisation - beyond charts and graphs

Data mining information visualisation - beyond charts and gr...

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International conference on Information Visualisation (IV)

作者： N. Robinson M. Shapcott Faculty of Informatics University of Ulster Jordanstown UK

data mining has become a major academic research area over the last ten years. However, in the transition from academic prototypes to commercial products there have been few successes with commercial data mining applications failing to make any significant impact in the marketplace. In this paper it is argued that most data mining applications concentrate on the model-building phase of the data mining process and rarely engage the user in other stages. The paper reviews the challenges of producing successful data mining applications and in particular the role of information visualisation. Visualisation in data mining tends to be used to present final results, rather than playing an important part throughout the entire process. We argue that an immersive environment may provide the user with a more suitable interface than is commonly offered. We present a virtual data mining environment which attempts to integrate a data mining application interface and information visualisation in a seamless manner, using the concept of 'liquid data'.

关键词： data mining data visualization Business Informatics Application software Information technology Prototypes Virtual environment Visual databases Pattern analysis

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Multiresolution tetrahedral meshes: an analysis and a comparison

Multiresolution tetrahedral meshes: an analysis and a compar...

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International conference on Shape Modeling and Applications

作者： E. Danovaro L. De Floriani M. Lee H. Samet Dipartimento di Informatica e Scienze dellInformazione Università di Genova Genoa Italy Computer Science Department Center for Automation Research Institute for Advanced Computer Studies University of Maryland College Park MD USA

ISBN: (纸本)0769515460

We deal with the problem of analyzing and visualizing large-size volume data sets. To this aim, we consider multiresolution representations based on a decomposition of the field domain into tetrahedral cells. We compare two types of multiresolution representations that differ on the rule applied to refine an initial coarse mesh: one is based on tetrahedron bisection, and one based on vertex split. The two representations can be viewed as instances of a common multiresolution model, that we call a multiresolution mesh. Encoding data structures for the two representations are briefly described. An experimental comparison on structured volume data sets is presented.

关键词： Spatial resolution Finite element methods data mining data visualization data structures Shape Computer science Automation Educational institutions Encoding

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The Large Scale Digital Cell analysis System and its use in the quantitative analysis of cell populations

The Large Scale Digital Cell Analysis System and its use in ...

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International conference on Microtechnologies in Medicine and Biology

作者： F. Ianzini L. Bresnahan L. Wang K. Anderson M.A. Mackey Department of Biomedical Engineering University of Iowa Iowa City IA USA

The Large Scale Digital Cell analysis System (LSDCAS) was designed to analyze large numbers of cells under a variety of experimental conditions. LSDCAS is an automated microscope system capable of monitoring of the order of 1000 microscope fields over time intervals of up to one month. Although LSDCAS was originally designed to study stress-induced mitotic catastrophe, current efforts aim to provide imaging and data modeling/visualization technologies that will be useful in many areas of biological research. Several collaborative projects with University of Iowa researchers are underway involving the study of alterations in cell motility associated with metastasis; determination of the fate of cells which overproduce pro-oxidants, as well as the development of software to automatically determine the mode of cell death following exposure to cytotoxic agents. Ongoing extension of the capabilities of LSDCAS using image segmentation techniques based upon active appearance models will allow for the measurement of a variety of cellular endpoints. This report details our ongoing studies using LSDCAS; in particular its use in the quantitation of cell motility is described. Following these preliminary analyses, the report ends with a discussion of current development of LSDCAS to provide real-time fluorescence-based analysis of pro-oxidant production in cultured cells.

关键词： Large-scale systems Microscopy Collaborative software Computerized monitoring Biological system modeling data visualization Metastasis Image segmentation Fluorescence Production

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Tetrahedron mapping of points from n-space to three-space

Tetrahedron mapping of points from n-space to three-space

引用

International conference on Pattern Recognition

作者： Li Yang Department of Computer Science Western Michigan University Kalamazoo MI USA

ISBN: (纸本)076951695X

We extend the triangulation method of Lee et al. (1977) and present a tetrahedron method for the sequential mapping of points in high-dimensional space into three-space. The three-space preserves distances among nodes of a tetrahedron. Whenever a new point is mapped, its distances to three points previously mapped are exactly preserved. Among these three points, one can be chosen as the point connected through a minimal spanning tree. Other two points can be chosen as the nearest neighbors among points previously mapped, or some fixed reference points. This method works well to display a moderate number of points where distances among points have to be maintained. It is also useful to display data clusters, and can be combined with linear mapping methods for visualizing large datasets. Various applications in pattern analysis are discussed.

关键词： Displays data visualization Computer science Nearest neighbor searches Pattern analysis data analysis Interpolation

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Combining static and dynamic views for architecture reconstruction

Combining static and dynamic views for architecture reconstr...

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(CSMR) European conference on Software Maintenance and Reengineering

作者： C. Riva J.V. Rodriguez Software Architecture Group Nokia Group Nokia Research Center Finland

ISBN: (纸本)0769514383

Static analysis aims at recovering the structure of a software system, while dynamic analysis focuses on its run time behaviour. We propose a technique for combining the analysis of static and dynamic architectural information to support the task of architecture reconstruction. The approach emphasises the correct choice of architecturally significant concepts for the reconstruction process and relies on abstraction techniques for their manipulation. The technique allows the software architect to create a set of architectural views valuable for the architecture description of the system. To support our technique, we outline an environment that relies on hierarchical typed directed graphs to show the system's structure and message sequence charts for its behaviour. The main features of the environment are: visualisation of static and dynamic views, synchronisation of abstractions performed on the views, scripting support and management of the use cases. The approach and the environment are demonstrated with an example.

关键词： Computer architecture Software architecture Software systems Reverse engineering data mining Information analysis visualization Environmental management Runtime Maintenance engineering

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