DTNs overcome the problems associated with intermittent connectivity, long or variable delay, asymmetric data rates, and high error rates by using store-carry-forward message switching. In DTNs, a node is an entity wi...
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ISBN:
(纸本)9781509034857
DTNs overcome the problems associated with intermittent connectivity, long or variable delay, asymmetric data rates, and high error rates by using store-carry-forward message switching. In DTNs, a node is an entity with a bundle layer. A node may be a host, router, or gateway (or some combination) acting as a source, destination, or forwarder of bundles. In addition, the performance of node shows great differences. However, the previous DTN routings show blindly and randomly, which do not measure the performance of node when they forward messages. To deal with this issue, we present the concept of Node Connection Intensity (NCI) and Node Connection Stability (NCS), then propose a routing scheme based on Spray-and-Wait and Connecting-Capability of Node (SW-CCN), which evaluate relay node's forward capability synthetically according to the NCI and the NCS. The SW-CCN routing can allocate message replications dynamically and solve the problem of selecting the relay node blindly. Compared with the classical routing protocols, the simulation results show that the proposed algorithm can significantly enhance delivery rate and improve network performance.
In this letter, we present a three-dimensional (3-D) artificial anisotropy weakly conditional stability finite-difference time-domain (WCS-FDTD) method to achieve better dispersion performance. This artificial anisotr...
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ISBN:
(纸本)9781509047444
In this letter, we present a three-dimensional (3-D) artificial anisotropy weakly conditional stability finite-difference time-domain (WCS-FDTD) method to achieve better dispersion performance. This artificial anisotropy WCS-FDTD algorithm can minimize the dispersion error for arbitrary incident angles and different time-step sizes. Stability analysis presents that this algorithm is weakly conditionally stable if proper artificial anisotropy parameter values are chosen. Dispersion analysis illustrates the error of the numerical phase velocity can be controlled.
According to granular computing, Pawlak s rough set theory is based on a single granulation; however, multi-granulation rough set theory is applied to describe an uncertain concept by multiple binary relations. In thi...
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According to granular computing, Pawlak s rough set theory is based on a single granulation; however, multi-granulation rough set theory is applied to describe an uncertain concept by multiple binary relations. In this paper, the multi-granulation rough set approach with maximal consistent block technique has been introduced into the incomplete information system. Based on this maximal consistent block technique, a new pessimistic multi-granulation rough set in the incomplete information system is proposed. The lower and upper approximations of an uncertain set are defined based on this new model, and some properties are proposed for this new model.
The community detection was performed from the perspective of links, and we proposed an inhibition method against social network worms. Firstly, a community detection algorithm was proposed, which based on link cluste...
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The community detection was performed from the perspective of links, and we proposed an inhibition method against social network worms. Firstly, a community detection algorithm was proposed, which based on link clustering, and we got related link incremental information through the network structure information at various time points. In order to obtain the link communities, we adopted an improved link partition density function to dispose the link incremental information. Next, we gave three selection strategies of key nodes in community and proposed corresponding worm inhibition method. Finally, on the basis of real web data sets, we applied community detection and worm inhibition experiments to prove validity of algorithm in this paper.
Four circulant codes form a special class of 2-generator, index 4, quasi-cyclic codes. Under some conditions on their generator matrices they can be shown to be self-dual. Artin primitive root conjecture shows the exi...
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Quasi-twisted codes of fixed index > 1 have been shown recently to be asymptotically good (A. Alahmadi, C. Güneri, H. Shoaib, P. Solé, 2017). We use this result to construct asymptotically good additive c...
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We construct trace codes over Z4 by using Boolean functions and skew sets, respectively. Their Lee weight distribution is studied by using a Galois ring version of the Walsh-Hadamard transform and exponential sums. We...
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In this Letter, we propose a color holographic zoom system based on a liquid lens. We use the spatial multiplexing method to realize color reconstruction. By controlling the focal lengths of the liquid lens and the en...
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In this Letter, we propose a color holographic zoom system based on a liquid lens. We use the spatial multiplexing method to realize color reconstruction. By controlling the focal lengths of the liquid lens and the encoded digital lens on the spatial light modulator panel, we can change the magnification of the reconstructed image very quickly, without mechanical parts and keeping the output plane stationary.
Traditional methods on video summarization are designed to generate summaries for single-view video records, and thus they cannot fully exploit the mutual information in multi-view video records. In this paper, we pre...
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Traditional methods on video summarization are designed to generate summaries for single-view video records, and thus they cannot fully exploit the mutual information in multi-view video records. In this paper, we present a multiview metric learning framework for multi-view video summarization. It combines the advantages of maximum margin clustering with the disagreement minimization criterion. The learning framework thus has the ability to find a metric that best separates the input data, and meanwhile to force the learned metric to maintain underlying intrinsic structure of data points, for example geometric information. Facilitated by such a framework, a systematic solution to the multi-view video summarization problem is developed from the viewpoint of metric learning. The effectiveness of the proposed method is demonstrated by experiments.
Non-small cell lung cancer (NSCLC) is a malignant tumor, and contains three major subtypes which are difficult to be distinguished at early stages of NSCLC. Many pathways work together to perform certain functions in ...
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ISBN:
(纸本)9781509016129
Non-small cell lung cancer (NSCLC) is a malignant tumor, and contains three major subtypes which are difficult to be distinguished at early stages of NSCLC. Many pathways work together to perform certain functions in cells. One might expect the high level of co-appearance or repression of pathways to distinguish different subtypes of NSCLC. However, it is difficult to detect coordinated regulations of pathways by existing methods. In our work, the coordinated regulations of pathways are detected using modified higher logic analysis of gene expression data. Specifically, we identify the genes whose regulation obeys a logic function by the modified higher logic analysis, which focuses on the relationships among the gene triplets that are not evident when genes are examined in a pairwise fashion. Then, the relationships among genes are mapped to pathways to predict the coordinated regulated relationships among pathways. By comparing coordinated regulations of pathways, we find that the regulation patterns of pathways which are associated with cell death are different in three subtypes of NSCLC. This method allows us to uncover co-appearance or repression of pathways in high level, and it has a potential to distinguish the subtypes for complex diseases.
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