With the development of the 3G technology, M-learning enters a period of rapid development. But meanwhile 3G also restrains the development of M-Iearning due to several drawbacks in its early days. According to the ap...
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License plate detection plays an important role in vehicle license plate recognition for intelligent transport systems. This paper presents a robust method for license plate detection. As we observed, license plate ar...
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The propagation and attack of malicious codes in Peer-to-Peer networks (P2P) is getting more and more serious. The propagation of malicious code was divide into two types, passive and active propagations, and then a n...
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The propagation and attack of malicious codes in Peer-to-Peer networks (P2P) is getting more and more serious. The propagation of malicious code was divide into two types, passive and active propagations, and then a novel four-state passive propagation (4SPP) model of malicious code in P2P networks proposed. The model divides peers into four types, including susceptible peers, exposed peers, infected peers and healed peers, based on situation of peers infected by malicious codes. The differential equations showing how the numbers of peers in the various states migrating over time were also provided. The experiment results about the parameters of the model and two initial values of the number of infected peer and the number of exposed peer in different situations were presented, and the basic passive propagation law of malicious code in P2P network was obtained.
To overcome the drawback that switched Ethernet can not meet the real-time requirements in industrial communications, an improved message transmission model in which switch and the end-nodes control the real-time traf...
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This paper proposes a new scheme to determine the tree span structure for tree kernel-based anaphoricity determination in coreference resolution. Given a sentence and current mention, it gets all the dependencies, enc...
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Constructing identity-based signature(IBS) secure in the standard model is one of the active topics of current cryptography. We present a new efficient IBS scheme without random oracles and prove that it achieves adap...
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In this article, a low power consumption wireless sensor for binary gas mixtures real-time quantitative analysis is presented. This small size wireless gas sensor, which is developed based on an improved time-of-fligh...
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The demand for statistical machine translation on mobile terminals is increasing rapidly, but translation speed is restricted by the embedded processors without a floating-point unit. This paper proposes an approach t...
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Side chain packing is a crucial step for protein structure prediction. And the quality of rotamer library has important implications in side chain packing. This paper assess dunbrack rotamer libraries and simple sampl...
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Semantic role labeling (SRL) and word sense disambiguation (WSD) are two fundamental tasks in natural language processing to find a sentence-level semantic representation. To date, they have mostly been modeled in iso...
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Semantic role labeling (SRL) and word sense disambiguation (WSD) are two fundamental tasks in natural language processing to find a sentence-level semantic representation. To date, they have mostly been modeled in isolation. However, this approach neglects logical constraints between them. We therefore exploit some pipeline systems which verify the automatic all word sense disambiguation could help the semantic role labeling and vice versa. We further propose a Markov logic model that jointly labels semantic roles and disambiguates all word senses. By evaluating our model on the OntoNotes 3.0 data, we show that this joint approach leads to a higher performance for word sense disambiguation and semantic role labeling than those pipeline approaches.
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