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This paper proposes SENR, a scalable and efficient named-based routing protocol for the internet of things (IoT). SENR explores semantic notification and opportunistic caching strategy to enhance the data retrieval efficiency for ...
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This paper proposes SENR, a scalable and efficient named-based routing protocol for the internet of things (IoT). SENR explores semantic notification and opportunistic caching strategy to enhance the data retrieval efficiency for smart systems. First, SENR performs data aggregation according to the hierarchy of namespace, and stores data over in-network storage node. It also marks each route notification at the edge nodes, and allows the interest with the same name prefix to choose the same edge routing node towards to the storage node. Second, SENR adopts link-state routing protocols to collect network topology and compute the shortest path to the content source nodes, moreover, it uses distance-vector routing protocols to select multiple alternative paths to cope with node failures. Third, SENR employs partial routing update to explicit support of dynamic paths and caching capabilities. Simulation results demonstrate that SENR can significantly reduce the content retrieval delay and routing overheads.
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In recent years, online sentiment texts are generated by users in various domains and in different languages. Binary polarity classification (positive or negative) on business sentiment texts can help both companies and customers ...
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In recent years, online sentiment texts are generated by users in various domains and in different languages. Binary polarity classification (positive or negative) on business sentiment texts can help both companies and customers to evaluate products or services. Sometimes, the polarity of sentiment texts can be modified, making the polarity classification difficult. In sentiment analysis, such modification of polarity is termed as polarity shifting, which shifts the polarity of a sentiment clue (emotion, evaluation, etc.). It is well known that detection of polarity shifting can help improve sentiment analysis in texts. However, to detect polarity shifting in corpora is challenging: (1) polarity shifting is normally sparse in texts. making human annotation difficult; (2) corpora with dense polarity shifting are few; we may need polarity shifting patterns from various corpora.In this article, an approach is presented to extract polarity shifting patterns from any text corpus. For the first time, we proposed to select texts rich in polarity shifting by the idea of natural annotation, which is used to replace human annotation. With a sequence mining algorithm, the selected texts are used to generate polarity shifting pattern candidates, and then we rank them by C-value before human annotation. The approach is tested on different corpora and different languages. The results show that our approach can capture various types of polarity shifting patterns, and some patterns are unique to specific corpora. Therefore, for better performance, it is reasonable to construct polarity shifting patterns directly from the given corpus.
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Establishing reliable correspondences by a deep neural network is an important task in computer vision, and it generally requires permutation-equivariant architecture and rich contextual information. In this paper, we design a Per...
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Establishing reliable correspondences by a deep neural network is an important task in computer vision, and it generally requires permutation-equivariant architecture and rich contextual information. In this paper, we design a Permutation-Equivariant Split Attention Network (called PESA-Net), to gather rich contextual information for the feature matching task. Specifically, we propose a novel "Split-Squeeze-Excitation-Union"(SSEU) module. The SSEU module not only generates multiple paths to exploit the geometrical context of putative correspondences from different aspects, but also adaptively captures channel-wise global information by explicitly modeling the interdependencies between the channels of features. In addition, we further construct a block by fusing the SSEU module, Multi-Layer Perceptron and some normalizations. The proposed PESA-Net is able to effectively infer the probabilities of correspondences being inliers or outliers and simultaneously recover the relative pose by essential matrix. Experimental results demonstrate that the proposed PESA-Net relative surpasses state-of-the-art approaches for pose estimation and outlier rejection on both outdoor scenes and indoor scenes (i.e., YFCC100M and SUN3D). Source codes: https://github.com/x-gb/PESA-Net.
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Energy consumption is one of the most important considerations when designing routing and transmission protocols of sensing networks in internet of things. In order to achieve low and balanced power consumption, an effective metho...
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Energy consumption is one of the most important considerations when designing routing and transmission protocols of sensing networks in internet of things. In order to achieve low and balanced power consumption, an effective method is to refer to the residual energy of nodes. Some existing energy-efficiency routing algorithms are designed according to the residual energy of nodes, but they do not give the way of residual energy collection. In this paper, we design a strategy for releasing and collecting residual energy for one-dimensional linear topology networks. By listening to the broadcast messages and evaluating residual energy of forward nodes, nodes can dynamically update the residual energy information of all potential forwarders. The collection error is also analysed theoretically. This method can be applied to opportunistic routing and relay node selection algorithms. The simulation results show that our proposed method has very low collection error, and the error will not accumulate with the operation of the network.
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Witnessing broad energy-critical applications of barrier coverage in mobile and wireless sensor networks, emerging practical applications have recently brought a new barrier coverage model which uses sink-based mobile sensors for ...
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Witnessing broad energy-critical applications of barrier coverage in mobile and wireless sensor networks, emerging practical applications have recently brought a new barrier coverage model which uses sink-based mobile sensors for covering a given barrier with the aim of prolonging the lifespan of the coverage. In the model, a set of sink stations were distributed on the plane in which each sink can emit mobile sensors with an identical radius. The task is to cover a given line barrier with the emitted mobile sensors, aiming to minimize the maximum movement of the sensors so as to prolong the shortest lifespan among the sensors in coverage. In this paper, we first devise an algorithm for optimally solving the problem based on the properties of the structures called movement parity and tangent equilibrium points between the sinks. Then based on a more sophisticated geometric property of optimum solutions, we improve the runtime to a linear runtime O(k) which attains the possibly optimum runtime of the problem for k being the number of sinks. At last, numerical experiments are carried out to demonstrate the practical performance gain of our algorithms against baselines in literature.
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Using density functional theory calculations, we investigated the structural stability, electronic and optical properties of Zn-doped MAPbI(3). The results indicate that Zn-doped hybrid perovskites are unstable compared with MAPbI...
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Using density functional theory calculations, we investigated the structural stability, electronic and optical properties of Zn-doped MAPbI(3). The results indicate that Zn-doped hybrid perovskites are unstable compared with MAPbI(3). The instability and band gap of Zn-doped MAPbI(3) gradually increase when the proportion of Zn increases. Interestingly, the results show that the optical absorption of MAPb(0.96875)Zn(0.03125)I(3) is stronger than that of MAPbI(3). Moreover, MAPb(0)(.)(96875)Zn(0.03125)I(3) possesses small formation energy and a suitable band gap, which is predicted to possess better photovoltaic performance. This work provides a feasible way to reduce the amount of Pb and improve photovoltaic performance of perovskite solar cells. (C) 2019 The Japan Society of Applied Physics
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Two novel drug-drug (1:1) cocrystals of berberine chloride (BER) with myricetin (MYR) and dihydromyricetin (DMY), BER-MYR(1), and BER-DMY(2) have been prepared and investigated systematically. The O-H center dot center dot center ...
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Two novel drug-drug (1:1) cocrystals of berberine chloride (BER) with myricetin (MYR) and dihydromyricetin (DMY), BER-MYR(1), and BER-DMY(2) have been prepared and investigated systematically. The O-H center dot center dot center dot Cl- intermolecular interactions formed by hydroxyl groups of MYR and DMY with chloride anion dominated the formation of cocrystals 1 and 2. The values of energy gap (Delta E) and electrophilicity index (omega) computed by density functional theory calculations confirmed the chemical stability of molecules. Both cocrystals revealed low moisture adsorption up to 95% of relative humidity. The myricetin in cocrystal 1 revealed enhanced solubility in water. The two drugs in BER-MYR and BER-DMY cocrystals show synergistic anticancer effect in vitro.
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