To reveal local self-relevance in spatial datasets, using spatialdomain processing is the better approach. However, in spatial-domain processing, each processing algorithm has to be implemented and complied as a separ...
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the Laser Vibrometer constitutes a potentially powerful vibration transducer for measurements directly from rotating components. Radial, axial, pitch/yaw and torsional vibrations can all be measured using either singl...
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ISBN:
(纸本)1860584470
the Laser Vibrometer constitutes a potentially powerful vibration transducer for measurements directly from rotating components. Radial, axial, pitch/yaw and torsional vibrations can all be measured using either single beam or parallel beam Laser Vibrometers. Successful application, however, requires a clear appreciation of the effects of laser speckle and of how radial and pitch/yaw vibration measurements from rotors contain significant cross-sensitivities to motion perpendicular to the intended measurement. Making use of two orthogonal vibration measurements and an independent speed measurement it is possible to eliminate cross-sensitivity from measured data at all non-synchronous frequencies but a convenient, practical means to undertake the necessary data processing has not been available until now. A LabVIEW based real-time version of this essential resolution technique will be presented for the first time in this paper. this paper describes a number of example measurements. Radial and pitch/yaw vibration measurements will demonstrate the use of the resolution technique to show effects such as the excitation of the first bending mode of the crankshaft. A torsional vibration measurement on a crankshaft pulley will show the influence of speckle noise and alignment issues will be discussed to limit the pitch/yaw vibration sensitivity. Differential torsional measurements on rotating components can be used to examine, for example, the twisting across a flexible coupling and the stretching of a drive belt;speckle effects are again important.
In several digital signal processingalgorithms, the computation is performed in consecutive stages consisting of parallel computational nodes. the stages are decoupled by data permutations where stride permutations a...
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In several digital signal processingalgorithms, the computation is performed in consecutive stages consisting of parallel computational nodes. the stages are decoupled by data permutations where stride permutations are common because of their regularity. parallel computation of such algorithms with reduced number of processing elements implies that several computational nodes are assigned to each element. As a drawback, permutations become more complex and require data storage. In this paper, register-based stride permutation networks are proposed for array processors where the storage requirement of the networks is relatively small, and thus, memory-based structures would be an expensive solution. the proposed networks are regular and scalable and they support any stride of power-of-two. In addition, the networks reach the lower bound in the number of registers indicating area-efficiency. Furthermore, the networks are generated without heuristics, which makes them attractive for automated design procedures.
We present a significant extension of the quantified equation based algorithm class of piecewise regular algorithms. the main contributions of the following paper are: the class of piecewise regular algorithms are ext...
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We present a significant extension of the quantified equation based algorithm class of piecewise regular algorithms. the main contributions of the following paper are: the class of piecewise regular algorithms are extended by allowing run-time dependent conditionals; a mixed integer linear program is given to derive optimal schedules of the novel class we call dynamic piecewise regular algorithms; and in order to achieve highest performance, we present a speculative scheduling approach. the results are applied to an illustrative example.
Multimedia authoring is still subject to computer experts with programming knowledge. Most multimedia systems provide fixed concepts for the specification of the temporal and spatial layout of multimedia documents. St...
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ISBN:
(纸本)3540210709
Multimedia authoring is still subject to computer experts with programming knowledge. Most multimedia systems provide fixed concepts for the specification of the temporal and spatial layout of multimedia documents. Starting with interaction some approaches require script programming by authors. Special effects like animations, complex interactions or alternative concepts have to be programmed in almost every multimedia system. If a multimedia system does not provide a scripting language the realization is impossible. As different application areas for multimedia documents are considered (e.g. computer based training) authors need authoring languages with a high abstraction level that support the specification of documents in these areas. Because application areas that have to be used for authoring cannot be predicted in advance an extensible document language is required. For the presentation and authoring of multimedia documents this means that an extensible multimedia presentation system and an extensible document editor are required. the paper presents research results achieved in a project that aims at the simplification of authoring and dissemination of multimedia documents. the approach is based on an extensible document language. Separation between authoring and development of language extensions requires only scanty programming knowledge by authors. Extensions have to be developed by programmers and will be disseminated together with documents. With a growing number of available extensions a decrease of programming effort can be expected because of reuse of extensions.
Hybrid peer-to-peer architectures use special nodes to provide directory services for regions of the network ("regional directory services"). they are a potentially powerful model for developing large-scale ...
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ISBN:
(纸本)3540294007
Hybrid peer-to-peer architectures use special nodes to provide directory services for regions of the network ("regional directory services"). they are a potentially powerful model for developing large-scale networks of complex digital libraries. this paper presents our recent research work on the new content-based text Filtering and collaborative filtering based on hybrid P2P (Peer-to-Peer) networks. From various perspectives, our work focuses on how to share the text content and recommend information based on hybrid P2P networks. Several models are proposed to implement the content-based text retrieval and collaborative filtering effectively. these models are then evaluated and validated through implementations and analyses. the results show some advantages of the proposed approach for the content-based filtering algorithm based on lexical chain and collaborative filtering algorithm in hybrid P2P network and potential applications in complex digital libraries and distributed information sharing.
Inducing of classification rules is a research areaof machine learning and data mining that has receiveda lot of attention in recentyears. the ID3 and C4.5 arethe well-known algorithms for mining classificationrules. ...
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ISBN:
(纸本)0780379411
Inducing of classification rules is a research areaof machine learning and data mining that has receiveda lot of attention in recentyears. the ID3 and C4.5 arethe well-known algorithms for mining classificationrules. However, the rules induced by ID3 are notoptimal. thus, Hu X.G propose a novel approach thatinducing classification rules in Extended ConceptLattice (ECL) which improve Concept Lattice byintroducing the equivalent intent. the approach issuperior to ID3 and C4.5. But the new features ofdatabase such as the high-dimensionality andheterogeneity make the parallel/distributed data mininga hot research domain. Under this circumstance, wepropose the parallel ECL for data mining from largescale database. In this paper, inducing classificationrules in parallel ECL is investigated boththeoreticallyand experimentally.
We present a method for co-partitioning affine indexed algorithms resulting in a processor array with an optimized data-reuse. through this method, a memory hierarchy with an optimized data transfer is derived which a...
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We present a method for co-partitioning affine indexed algorithms resulting in a processor array with an optimized data-reuse. through this method, a memory hierarchy with an optimized data transfer is derived which allows a significant reduction of the power consumption caused by memory accesses. Apart from former design flows which begin with a space-time transformation, we start withthe co-partitioning of the iteration space. this allows an adaption of the resulting processor array towards the constraints of the target architecture at the beginning of the design. We illustrate our method for the full search motion estimation algorithm which bears a high potential of data-reuse.
this paper proposes a parallel architecture for estimation of the motion of an underwater robot. It is well known that image processing requires a huge amount of computation, mainly at low-level processing where the a...
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this paper proposes a parallel architecture for estimation of the motion of an underwater robot. It is well known that image processing requires a huge amount of computation, mainly at low-level processing where the algorithms are dealing with a great number of data. In a motion estimation algorithm, correspondences between two images have to be solved at the low level. In the underwater imaging, normalised correlation can be a solution in the presence of non-uniform illumination. Due to its regular processing scheme, parallel implementation of the correspondence problem can be an adequate approach to reduce the computation time. Taking into consideration the complexity of the normalised correlation criteria, a new approach using parallel organisation of every processor from the architecture is proposed.
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