Due to the road-constrained data delivery and highly dynamic topology of vehicle nodes in a Vehicular Ad Hoc Network (VANET), it is better to construct routing based on the road-to-road pattern than the traditional no...
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Due to the road-constrained data delivery and highly dynamic topology of vehicle nodes in a Vehicular Ad Hoc Network (VANET), it is better to construct routing based on the road-to-road pattern than the traditional node-to-node routing pattern in MANETs. However, the challenging issue is the opportunistic forwarding at intersections. Therefore, we propose a novel routing scheme, called Buffer and Switch (BAS). In BAS, each road buffers the data packets with multiple duplicates propagation in order to provide more opportunities for packet switching at intersections. Different from conventional protocols in VANETs, the propagation of duplicates in BAS is bidirectional along the routing path. Moreover, BAS's cost is much lower than other flooding-based protocols due to its spatio-temporally controlled duplicates propagation. Different from recent researches, BAS can deliver packets not only to a stationary node, but also to the stationary or mobile nodes in a specified area. We conduct the extensive simulations to evaluate the performance of BAS based on the road map of a real city collected from Google Earth. The simulation results show that BAS can outperform the existing protocols, especially when the network resources are limited.
This study proposed two algorithms, an adaptive motion estimation algorithm based on Bayesian decision and an improved Motion Vector FieId Adaptive Search Technique (MVFAST) algorithm. The first algorithm proposed in ...
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Lesion segmentation plays an important role in medical image processing and analysis. There exist several successful dynamic programming (DP) based segmentation methods for general images. In those methods, the gradie...
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To alleviate communication pressure of Internet given by P2P streaming systems, this paper implemented a collaborative caching mechanism in P2P streaming networks. Firstly, some measurement experiments were designed f...
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To alleviate communication pressure of Internet given by P2P streaming systems, this paper implemented a collaborative caching mechanism in P2P streaming networks. Firstly, some measurement experiments were designed for the existing large-scale P2P streaming systems. It was found that the existing applications improved overall system performance through the deployment of dedicated servers, and the collaboration between peers was relatively poor. Then, a chunk's request frequency was used to calculate its values, and obtain the chunk's requesting distribution factor according to its transmission delay. Finally, the peer replaces its cached chunks based on the chunk value and requesting distribution factor. Our goal is to keep those chunks with high requesting frequency and farther away from the current peer in order to achieve a balanced distribution of cached data to improve collaboration between peers. The simulation results show that proposed method has better performance at cache hits, system load and peer collaboration.
Based on mechanical analysis and numerical simulation, the water inrush of minor faults concealed in coal seam floor is *** sliding condition of minor fault is obtained with elasticity model which is caused by the dis...
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Based on mechanical analysis and numerical simulation, the water inrush of minor faults concealed in coal seam floor is *** sliding condition of minor fault is obtained with elasticity model which is caused by the disturbance *** the water inrush models of minor faults are established with RFTA-FLOW2D *** shows that there are three stages in the process of minor fault’s water inrush, including the active stage, expanding stage and fissure transfixion *** the understanding of stress, damage and seepage flow evolution, the transformation of floor rock mass from water-resisting strata to inrush pathways is clearly illuminated and the groundwater inrush pathways are ***, the influence of the density of faults on the damage evolution of groundwater inrush is *** some significantly meaningful guides are provided for the investigation on the mechanism and prevention of minor fault’s water inrush in practice.
We propose a scheme of utilizing multilevel space-time signal-based turbo code (MST-SB-TC) for wireless communication systems with multiple antennas over very rapidly Rayleigh block fading channels where the fading co...
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We propose a scheme of utilizing multilevel space-time signal-based turbo code (MST-SB-TC) for wireless communication systems with multiple antennas over very rapidly Rayleigh block fading channels where the fading coefficients changes independently for every transmitted signal. No channel state information (CSI) is available and even unitary space-time signals fail to operate. We give an effective method which applies MST-SB-TC as an alternative to the original multilevel space-time modulation and present an effective multilevel space-time (UST) signal-based BCJR-like maximum a posteriori (MAP) decoding algorithm, which makes full use of the channel characteristics when calculating the branch metrics. With iterative decoding and/or multiple receive antennas, it can further improve the system performance, which helps to give an acceptable bit error rate.
In order to solve the computational complexity problem brought by high-order local features, the representation of high-order local features based on kernel function is proposed. At First, the feature space is mapped ...
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In order to use large numbers of unlabeled images effectively, this paper proposes an image classification method based on semi-supervised learning. The proposed method bridges a large amount of unlabeled images and l...
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In order to use large numbers of unlabeled images effectively, this paper proposes an image classification method based on semi-supervised learning. The proposed method bridges a large amount of unlabeled images and limited numbers of labeled images by exploiting the common topics. The classification accuracy is improved by using the must-link constraint and cannot-link constraint of labeled images. The experimental results on Caltech-101 demonstrate the feasibility and stability of proposed method. Furthermore, due to the present semi-supervised image classification methods lacking of incremental learning ability, we propose an incremental implementation of our method. Comparing with non-incremental learning model in literature, the incremental learning method can improve the computation efficiency of nearly 90%.
This paper presents an efficient heuristic algorithm to minimize the overhead on the reconfiguration for two-dimensional VLSI/WSI arrays in the presence of faulty processing elements (PEs). According to the locations ...
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In many network applications, Bloom filters are used to support exact-matching membership query for their randomized space-efficient data structure with a small probability of false answers. In this paper, we extend t...
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In many network applications, Bloom filters are used to support exact-matching membership query for their randomized space-efficient data structure with a small probability of false answers. In this paper, we extend the standard Bloom filter to Locality-Sensitive Bloom Filter (LSBF) to provide Approximate Membership Query (AMQ) service. We achieve this by replacing uniform and independent hash functions with locality-sensitive hash functions. Such replacement makes the storage in LSBF to be locality sensitive. Meanwhile, LSBF is space efficient and query responsive by employing the Bloom filter design. In the design of the LSBF structure, we propose a bit vector to reduce False Positives (FP). The bit vector can verify multiple attributes belonging to one member. We also use an active overflowed scheme to significantly decrease False Negatives (FN). Rigorous theoretical analysis (e.g., on FP, FN, and space overhead) shows that the design of LSBF is space compact and can provide accurate response to approximate membership queries. We have implemented LSBF in a real distributed system to perform extensive experiments using real-world traces. Experimental results show that LSBF, compared with a baseline approach and other state-of-the-art work in the literature (SmartStore and LSB-tree), takes less time to respond AMQ and consumes much less storage space.
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