Many research studies have recently proposed the use of Impulse Radio based ultra-wideband technology for passive and active radio frequency identification systems as well as for wireless sensor networks because of it...
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Many research studies have recently proposed the use of Impulse Radio based ultra-wideband technology for passive and active radio frequency identification systems as well as for wireless sensor networks because of its numerous advantages. To harness these advantages at the physical-layer level of design, cross-layer architecture can be used to integrate different wireless short-range requirements into a smart wireless-tagged architecture. Adaptive transmission algorithm has been studied to show the trade-off flexibility between different specific quality of service requirements and transmission rate parameters at the physical-layer level in varied distance scenarios. This type of dynamic optimization and reconfiguration leads to the cross-layer design proposal introduced in this paper. The results of the theoretical and simulated analyses as well as the dedicated experimental design and implementations prove the validity of the proposed architecture. (C) 2012 Elsevier Ltd. All rights reserved.
The choice of the path computation algorithm is a key factor to design efficient traffic engineering strategies in multi-protocol label switching networks and different approaches have been proposed in the literature....
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The choice of the path computation algorithm is a key factor to design efficient traffic engineering strategies in multi-protocol label switching networks and different approaches have been proposed in the literature. The effectiveness of a path computation algorithm should be evaluated against its ability to optimise the utilisation of network resources as well as to satisfy both current and future label switched paths allocation requests. Although powerful and flexible simulation tools might be useful to assist a network manager in the selection of proper algorithms, state-of-the-art simulators and network planning tools do not currently offer a suitable support. This study deals with the design and performance evaluation of multi-constraints path computation algorithms. To this aim, ad hoc software modules have been developed and integrated within the MTENS simulator. New single-path and multi-path computation algorithms have been proposed and compared in terms of number of accepted requests, success probability, network resources utilisation and execution time. Finally, some guidelines and recommendations for the selection of path computation algorithms have also been provided.
An introduction is presented in which the editor discusses various articles within the issue on topics including the conceptual modeling of meme complexes, evaluating a quantum memetic algorithm (QMA), and determining...
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An introduction is presented in which the editor discusses various articles within the issue on topics including the conceptual modeling of meme complexes, evaluating a quantum memetic algorithm (QMA), and determining the motion of humanoid robots by using multivalued decision diagrams (MDDs).
The estimation accuracy of specular multipath components in radio channels that include dense multipath is investigated. Classical multipath estimation algorithms such as ESPRIT and SAGE do not include dense multipath...
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The estimation accuracy of specular multipath components in radio channels that include dense multipath is investigated. Classical multipath estimation algorithms such as ESPRIT and SAGE do not include dense multipath in their signal model whereas recent ones, such as RiMAX, do. These estimation algorithms are applied to a priori known synthetic channels which include both specular components (SCs) and dense multipath components (DMCs). The estimation errors of the SCs are computed as a function of the DMC power to evaluate the estimator's robustness. The results of this work clearly indicate large estimation errors for the SC parameters when the estimator does not include DMCs in its data model.
Proposesd is a controllability condition of a siphon that is composed of two elementary siphons in a class of Petri nets, Systems of Simple Sequential Processes with Resources ((SPR)-P-3). It is shown that, under the ...
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Proposesd is a controllability condition of a siphon that is composed of two elementary siphons in a class of Petri nets, Systems of Simple Sequential Processes with Resources ((SPR)-P-3). It is shown that, under the condition, an (SPR)-P-3 admits a maximally permissive liveness-enforcing supervisor that is expressed by a set of monitors if every dependent siphon is 2-composed, which can be decided by an algorithm with polynomial complexity.
In this study, an improved observer-based stabilising controller has been designed for networked systems involving both random measurement and actuation delays and subject to non-stationary packet dropouts. The develo...
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In this study, an improved observer-based stabilising controller has been designed for networked systems involving both random measurement and actuation delays and subject to non-stationary packet dropouts. The developed control algorithm is suitable for networked systems with any type of delays. By the simultaneous presence of binary random delays and making full use of the delay information in the measurement model and controller design, new and less conservative stabilisation conditions for networked control systems are derived. The criterion is formulated in terms of linear matrix inequalities. Detailed simulation studies on representative systems are provided to show the applicability of the developed design technique.
A fast and efficient colour stereo matching algorithm is presented with intended application to intelligent vehicles. The algorithm is initialised by selecting an appropriate colour space giving the smallest disparity...
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A fast and efficient colour stereo matching algorithm is presented with intended application to intelligent vehicles. The algorithm is initialised by selecting an appropriate colour space giving the smallest disparity error on a training set. A dynamic cross-based aggregation region is then applied. To be fast and robust to noise and illumination variations, a new technique is proposed for census transform in combination with a sparse mask. The algorithm is accelerated with GPU implementation. The performance of the proposed algorithm has been tested on the reference Middlebury dataset, as well as on simulated road traffic scenes of the TNO MARS/Prescan database.
A patch-based super-resolution algorithm is proposed to enlarge a face image from a single low resolution input. Inspired by the property of highly structured faces, the training patches are selected and weighted base...
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A patch-based super-resolution algorithm is proposed to enlarge a face image from a single low resolution input. Inspired by the property of highly structured faces, the training patches are selected and weighted based on both patch appearance and patch position. The selected patches with certain weights are called bilateral patches, which are incorporated into data consistency to reconstruct the high resolution face image in a patch-wise fashion. Experimental results demonstrate the superiority of the proposed method to some state-of-the-art methods in both visual and quantitative comparisons.
In this study, we propose a knowledge-based approach for detection and isolation of predefined and nonpredefined sensor faults in fault tolerant control (FTC) of a three tank system. Farthest first traversal algorithm...
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In this study, we propose a knowledge-based approach for detection and isolation of predefined and nonpredefined sensor faults in fault tolerant control (FTC) of a three tank system. Farthest first traversal algorithm (FFTA) of data mining is used for the first time for the classification of faults in a FTC system. Predefining here means that features of a fault and its effects are known before the fault is seen on the system. Therefore, if a predefined fault is detected on the system, it is isolated into a known fault cluster and predefined action for that cluster can be taken to tolerate the fault. However, in a working system, there may be some other faults, which are not predefined. Those may be inaccurately isolated into available known clusters, since the clusters are determined according to predefined faults instead of non predefined ones. In our work, we also propose a method for isolating the non predefined faults that rearranges the clusters of predefined faults, online. In order to show the efficiency of proposed method, seven predefined and thirteen non predefined fault scenarios are applied to a closed loop FTC system. While three of the non-predefined faults are not accurately isolated without the proposed method, all of the faults are isolated correctly with the proposed method.
In the SVC extension of H. 264, motion compensation of the enhancement layer is performed in both the same resolution layer and the corresponding lower layer, which results in greatly increased computational complexit...
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In the SVC extension of H. 264, motion compensation of the enhancement layer is performed in both the same resolution layer and the corresponding lower layer, which results in greatly increased computational complexity. A fast inter-frame and inter-layer mode selection algorithm utilising the motion activity in the key frames of the video sequence is proposed. Statistics obtained empirically reveal that a macroblock with slow movement is more likely to be best matched by one in the same resolution layer. However, for a macroblock with fast movement, motion estimation between layers is required. This a priori knowledge forms the basis for the mode selection method proposed. Simulation results show that the algorithm can reduce the encoding time by up to 40%, with negligible degradation in rate distortion.
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