A high performance, freely accessible medical image processing environment based on a distributed architecture is presented: MedIGrid is the result of a joined interaction between sci.ntists devoted to the design and ...
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ISBN:
(纸本)0780377893
A high performance, freely accessible medical image processing environment based on a distributed architecture is presented: MedIGrid is the result of a joined interaction between sci.ntists devoted to the design and deployment of new and efficient tomographic reconstruction techniques, researchers in the field of distributed and parallel architectures, and physicians interested in experimenting with new advances in the field of image reconstruction and analysis. The main goal of the project was to design an easily accessible and usable environment with which the medical community can experiment on one side, and that research groups can use as a reference or as a basis for continuing research on the other side. The outcome of this work consists of a prototypal grid infrastructure along with an open and distributed software environment. The Grid comp.ting architecture includes a storage server, a high performance parallel comp.ting unit, and two PCs that act as clients to the system and that are located in geographically distant areas. The Globus Toolkit has been chosen to implement the middleware between hardware and software. The latter consists of a set of tools and strategies to reconstruct, display, analyze as well as store, share, distribute and organize medical images, addressing the major problems in the field of image reconstruction and processing. It is platform independent, remotely executable, freely downloadable and accessible, and based on open source code.
There have been several PC-Farm comp.ting systems built for various experiments at IHEP, since VAX machines were retired in 1996. These PC-Farms are running separately with different job management systems such as NQS...
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There have been several PC-Farm comp.ting systems built for various experiments at IHEP, since VAX machines were retired in 1996. These PC-Farms are running separately with different job management systems such as NQS or PBS, this leads to making inefficient use of these clusters. In order to share these PC-Farm comp.ting systems across IHEP, the implementation and deployment of Globus and Condor system, and the sharing policy among different groups, the developing Web-based user's job submission interface are described. For storage, CASTOR is used as HSM for backup/restoring software, therefore, there are CEs and only one SE in the moment at IHEP.
The application of a novel branch of comp.tational Cybernetics is extended to the adaptive control of very inaccurately and partly modeled electromechanical systems also having unmodeled non-linear dynamic coupling wi...
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The application of a novel branch of comp.tational Cybernetics is extended to the adaptive control of very inaccurately and partly modeled electromechanical systems also having unmodeled non-linear dynamic coupling with their environment. The method uses "uniform structures" for modeling, and "uniform procedures" for "repetitive" or cumulative learning like in the case of the "traditional" soft comp.ting approaches. But it considerably reduces the number of free parameters to be set, and also replaces the process of parameter tuning with simple, lucid, and explicit algebraic operations of limited number of steps. It is demonstrated via simulation that the control can operate even if strongly nonlinear terms (Coulomb friction and sticking combined with the elastic and viscous terms of the unmodeled external interaction in the Stribeck model), and elastically deformable joints are present. As a paradigm a mechanically 3 DOF SCARA arm actuated by voltage-controlled DC motors is considered. The system has 9 degrees of freedom (6 mechanical and 3 electrical). For the controller only three mechanical degrees of freedom are modeled. It is concluded that the control can efficiently comp.nsate the effect of the unmodeled degrees of freedom, the external interaction, and the inaccuracy of the modeled part of the robot.
The existing data mining methods are mostly focused on relational databases and structured data, but not on comp.ex structured data (like in extensible markup language (XML). By converting XML document type descriptio...
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The existing data mining methods are mostly focused on relational databases and structured data, but not on comp.ex structured data (like in extensible markup language (XML). By converting XML document type description to the relational semantic recording XML data relations, and using an XML data mining language, the XML data mining system presents a strategy to mine information on XML.
This paper presents a system for pedestrian detection and tracking by using image processing techniques. A very important issue in the field of intelligent transportation system is to prevent pedestrians from being hi...
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This paper presents a system for pedestrian detection and tracking by using image processing techniques. A very important issue in the field of intelligent transportation system is to prevent pedestrians from being hit by vehicles. Recently, a great number of vision-based techniques have been proposed for this purpose. In this paper, we propose a vision-based method which combines the use of a pedestrian model as well as the walking rhythm of pedestrians. Through integrating these spatial and temporal information grabbed by a vision system, we are able to develop a reliable pedestrian detection and tracking system that can always produce accurate results. Experimental results obtained using the real world cases have demonstrated that the proposed model is indeed superb.
An image recognition method based on fuzzy-rough sets theory is proposed, and its implementation is discussed. The performance of this method as applied to ferrography image recognition is evaluated. It is shown that ...
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An image recognition method based on fuzzy-rough sets theory is proposed, and its implementation is discussed. The performance of this method as applied to ferrography image recognition is evaluated. It is shown that this method gives better results than fuzzy or rough-sets method when used alone.
This paper presents a simple comp.ete K-level tree (CKT) architecture for text database organization and rapid data filtering. A database is constructed as a CKT forest, and each CKT contains data of the same length. ...
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This paper presents a simple comp.ete K-level tree (CKT) architecture for text database organization and rapid data filtering. A database is constructed as a CKT forest, and each CKT contains data of the same length. The maximum depth and the minimum depth of an individual CKT are equal and identical to data's length. Insertion and deletion operations are defined;storage method and filtering algorithm are also designed for good comp.nsation between efficiency and comp.exity. The applications to comp.ter-aided teaching of Chinese and protein selection show that an about 30% reduction of storage consumption and an over 60% reduction of comp.tation may be easily obtained.
We explore a new spectral representation of speech signals through group delay functions. The group delay functions by themselves are noisy and difficult to interpret owing to zeroes that are close to the unit circle ...
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We explore a new spectral representation of speech signals through group delay functions. The group delay functions by themselves are noisy and difficult to interpret owing to zeroes that are close to the unit circle in the z-domain and these clutter the spectra. A new modified group delay function that reduces the effects of zeroes close to the unit circle is used. Assuming that this new function is minimum phase, the modified group delay spectrum is converted to a sequence of cepstral coefficients. A preliminary phoneme recogniser is built using features derived from these cepstra. Results are comp.red with those obtained from features derived from the traditional mel frequency cepstral coefficients (MFCC). The baseline MFCC performance is 34.7%, while that of the best modified group delay cepstrum is 39.2%. The performance of the comp.site MFCC feature, which includes the derivatives and double derivatives, is 60.7%, while that of the comp.site modified group delay feature is 57.3%. When these two comp.site features are combined, 2% improvement in performance is achieved (62.8%). When this new system is combined with linear frequency cepstra (LFC) [2], the system performance results in another 0.8% improvement (63.6%).
Given a nonsingular comp.ct 2-manifold F without boundary, we present methods for establishing a family of surfaces which can approximate F so that each approximant is ambient isotopic to F. The current state of the a...
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Given a nonsingular comp.ct 2-manifold F without boundary, we present methods for establishing a family of surfaces which can approximate F so that each approximant is ambient isotopic to F. The current state of the art in surface reconstruction is that both theory and practice are limited to generating a piecewise linear (PL) approximation. The methods presented here offer broader theoretical guidance for a rich class of ambient isotopic approximations. They are also used to establish sufficient conditions for an interval solid to be ambient isotopic to the solid it is approximating. The methods are based on global theoretical considerations and are comp.red to existing local methods. Practical implications of these methods are also presented. For the global case, a differential surface analysis is performed to find a positive number ρ so that the offsets Fo(±ρ) of F at distances ±ρ are nonsingular. In doing so, a normal tubular neighborhood, F(ρ), of F is constructed. Then, each approximant of F lies inside F(ρ). comp.risons between these global and local constraints are given.
It is a challenging problem to stream real-time video over heterogeneous networks with time-varying channel conditions and devices with different capabilities. In this paper, we present an FGS-based unicast video stre...
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It is a challenging problem to stream real-time video over heterogeneous networks with time-varying channel conditions and devices with different capabilities. In this paper, we present an FGS-based unicast video streaming test bed, which is now being considered by the MPEG-4/21 committee as a reference test bed. The proposed system supports resource adaptation delivery of MPEG-21 DIA scheme which leads to a more strict evaluation methodology according to the MPEG committee specified common test conditions for scalable video coding. It provides easy control of media delivery with duplicable network conditions. To provide the best quality of service for each client, we propose relevant rate control, error protection, and transmission approaches in the content server, network interface, and clients, respectively.
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