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In this paper, event-driven is used in a networked control system (NCS) which is subjected to the effect of quantization and packet losses. A discrete event-detector is used to monitor specific events in the NCS. Both an arbitrary region quantizer and Markov jump packet losses are also considered for the NCS. Based on zoom strategy and Lyapunov theory, a complete proof is given to guarantee mean square...
In this paper, a new classifier under Bayesian framework is proposed to explore homogeneous region based low rank representation in hidden field for classification of hyperspectral imagery (HSI). This classifier integrates low rank representation and superpixel segmentation simultaneously, in which the HSI data is assumed to be lying in a low rank subspace within each homogeneous region of an estimated...
Smart homes present complex domains that suit ontological modelling. To be efficient, smart home systems must incorporate domain uncertainty into decision making. But ontologies presently cannot represent and reason under uncertainty. It is thus challenging, developing ontology-based decision-making models that can integrate domain uncertainty. In this paper, we seek a decision network approach as...
With the expansion of decentralized multi-robot system's applications, limited communication resources has become a critical factor toward the efficiency of multi-robot coordination when both system sizes scale up and their tasks become more complex. In current researches, it is only possible for every robot in a decentralized setting either to choose a part of communication channels to communicate...
Since the seminal work of Grossglauser and Tse [1], the two-hop relay algorithm and its variants have been attractive for mobile ad hoc networks (MANETs) due to their simplicity and efficiency. However, most literature assumed an infinite buffer size for each node, which is obviously not applicable to a realistic MANET. In this paper, we focus on the exact throughput capacity study of two-hop relay...
In this paper, we propose an optimized inpainting-based macroblock (MB) prediction mode (IP-mode) in the state-of-the-art H.264/AVC video compression engine, and investigate a natural extension of structured sparsity over the ordered Belief Propagation (BP) inference in inpainting-based prediction. The IP-mode is regularized by a global spatio-temporal consistency between the predicted content and...
In this paper, we propose an optimized inpainting-based macroblock prediction mode in the state-of-the-art H.264/AVC video engine. Parallel with the existing intra- and inter- modes, it is regularized by the global tempo-spatial consistency between the current MB and the co-located decoded region. The target is formulated as a local optimization problem by minimizing the energy of Markov Random Field...
Switch-Memory-Switch (SMS) architecture exhibits an excellent performance due to its emulating the Output Queueing structure. However, in order to achieve the maximal matching, the first stage scheduling operates at a huge computational complexity, which blocks the SMS from practical implementation. In order to put SMS into more effective industrial applications, especially in super-large size switches/routers...
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