Current Issue : July - September Volume : 2016 Issue Number : 3 Articles : 4 Articles
Main challenges for image enlargement methods in embedded systems come from the requirements of good performance, low\ncomputational cost, and low memory usage. This paper proposes an efficient image enlargement method which can meet these\nrequirements in embedded system. Firstly, to improve the performance of enlargement methods, this method extracts different\nkind of features for differentmorphologies with different approaches. Then, various dictionaries based on different kind of features\nare learned, which represent the image in a more efficient manner. Secondly, to accelerate the enlargement speed and reduce\nthe memory usage, this method divides the atoms of each dictionary into several clusters. For each cluster, separate projection\nmatrix is calculated. This method reformulates the problem as a least squares regression. The high-resolution (HR) images can\nbe reconstructed based on a few projection matrixes. Numerous experiment results show that this method has advantages such\nas being efficient and real-time and having less memory cost. These advantages make this method easy to implement in mobile\nembedded system....
An innovative paradigm namedCooperativeCognitiveMaritimeCyber Physical Systems (CCMCPSs) is developed to achieve highspeed\nand low-cost communication services. The analysis of the available white space at sea, as well as the framework, is presented.\nSpecifically, a bilevel game with two stages of PUs-to-SUs (primary users to secondary users) and SUs-to-SUs is proposed, to address\nthe resource allocation issue of Decode-and-Forward (DF) relay mode with maximal-ratio combining (MRC) receiving mode in\ndestination. Stackelberg game with priority is employed between PU and SUs, while a symmetrical system model is considered\namong SUs-to-SUs.The game theoretic procedure that converges to Nash equilibrium based on the utility and payoff function is\nillustrated. Simulation results demonstrate that our proposed strategy could effectively increase the throughput ascwell as the payoffs\nof the system....
We propose a novel scheme to improve compressed sensing (CS)-based radio frequency identification (RFID) by\nexploiting multiple measurement vectors. Multiple measurement vectors are obtained by employing multiple receive\nantennas at the reader or by separation into real and imaginary parts. Our problem formulation renders the\ncorresponding signal vectors jointly sparse, which in turn enables the utilization of CS. Moreover, the joint sparsity is\nexploited by an appropriate algorithm.\nWe formulate the multiple measurement vector problem in CS-based RFID and demonstrate how a joint recovery of\nthe signal vectors strongly improves the identification speed and noise robustness. The key insight is as follows:\nMultiple measurement vectors allow to shorten the CS measurement phase, which translates to shortened tag\nresponses in RFID. Furthermore, the new approach enables robust signal support estimation and no longer requires\nprior knowledge of the number of activated tags....
The opportunistic cooperative platform and adaptive cooperative control scheme were proposed based on the\nredundancy degree and priority of cooperative data packet, as well as selective characteristics of time domain and\nfrequency domain. First, opportunistic cooperative platform was defined according to the cooperative data stream\nscale, mapping algorithm, and priority and redundancy of cooperative data packets. Second, under the single or\nmultiple relay network environment and mobility of sensors, the selective characteristics of time and frequency\ndomain were studied. The active domain and negative domain were proposed for adjusting and improving the\nopportunistic cooperative platform. Third, the opportunistic cooperative control mechanism based on selectivity of\ntime domain and frequency domain (OCC-TFD) was proposed for improving the performance of wireless sensor\nnetworks. Finally, the mathematical results demonstrated that the proposed platform and scheme can provide\nreliable, robust, and efficient data communication services of wireless sensor networks....
Loading....