This paper presents a new edge-counting based method using Word Net to compute the similarity. The method achieves a similarity that perfectly fits with human rating and effectively simulate the human tHought process ...
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This paper presents a new edge-counting based method using Word Net to compute the similarity. The method achieves a similarity that perfectly fits with human rating and effectively simulate the human tHought process that is people prefer to consider more differences when the semantic distance between two word is closer, and vice versa. At last, we weigh up our model against a benchmark set by human similarity judgment, and obtain a much improved result compared with other methods.
Community structure is one of non-trivial topological properties ubiquitously demonstrated in real-world complex networks. Related theories and approaches are of fundamental importance for understanding the functions ...
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Community structure is one of non-trivial topological properties ubiquitously demonstrated in real-world complex networks. Related theories and approaches are of fundamental importance for understanding the functions of networks. Previously, we have proposed a probabilistic algorithm called the NCMA to efficiently as well as effectively mine communities from real-world networks. Here, we show that the NCMA can be readily extended and applied to address a wide range of network oriented applications beyond community detection including ranking, characterizing and searching real world networks.
Nowadays, e-mail is one of the most inexpensive and expeditious means of communication. However, a principal problem of any internet user is the increasing number of spam, and therefore an efficient spam filtering met...
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Nowadays, e-mail is one of the most inexpensive and expeditious means of communication. However, a principal problem of any internet user is the increasing number of spam, and therefore an efficient spam filtering method is imperative. Feature selection is one of the most important factors, which can influence the classification accuracy rate. To improve the performance of spam prediction, this paper proposes a new fuzzy adaptive multi-population parallel genetic algorithm (FAMGA) for feature selection. To maintain the diversity of population, a few studies of multi-swarm strategy are reported, whereas the dynamic parameter setting has not been considered further. The proposed method is based on multiple subpopulations and each subpopulation runs in independent memory space. For the purpose of controlling the subpopulations adaptively, we put forward two regulation strategies, namely population adjustment and subpopulation adjustment. In subpopulation adjustment, a controller is designed to adjust the crossover rate for each subpopulation, and in population adjustment, a controller is designed to adjust the size of each subpopulation. Three publicly available benchmark corpora for spam filtering, the PU1, Ling-Spam and Spam Assassin, are used in our experiments. The results of experiments show that the proposed method improves the performance of spam filtering, and is significantly better than other feature selection methods. Thus, it is proved that the multi-population regulation strategy can find the optimal feature subset, and prevent premature convergence of the population.
A novel constant tamper-proofing software watermark technique based on H encryption function is presented. First we split the watermark into smaller pieces before encoding them using CLOC scheme. With the watermark pi...
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Among those researches in Deep Web, compared to research of data extraction which is more mature, the research of data annotation is still at its preliminary stage. Currently, although the approach of applying ontolog...
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Automatic image annotation is a promising solution to narrow the semantic gap between low-level content and high-level semantic concept, which has been an active research area in the fields of image retrieval, pattern...
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作者：
Wei DuZhongbo CaoYan WangEnrico BlanzieriChen ZhangYanchun LiangCollege of Mathematics
Jilin University Changchun 130012 China Department of Information and Communication Technology University of Trento Povo 38050 Italy College of Computer Science and Technology
Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University Changchun 130012 China College of Computer Science and Technology Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University Changchun 130012 China
Analyzing two improved YCH schemes and a multi-secret sharing scheme based on homogeneous linear recursion, we propose and implement a new verifiable multi-secret sharing model based on Shamir secret sharing. The time...
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Analyzing two improved YCH schemes and a multi-secret sharing scheme based on homogeneous linear recursion, we propose and implement a new verifiable multi-secret sharing model based on Shamir secret sharing. The time complexity of this model in the phase of secrets recovery is O(k×t2), which is superior to other two improved YCH models (O(t3) (t>k) O(k3) (t≤k), O(k×(n+k)2)), and the time of secrets synthesis in the actual simulation is less than that of the other three models. Further, we compare the advantages and disadvantages of the four models on the time complexity, verifiability and open values. When n>k, the open values the new model needs are fewer than those of the other two improved YCH models. The experimental results show that the new model is better than the other three models on the time of secrets recovery.
A trusted cryptography module (TCM) is introduced into vehicular electronic systems to solve security issues of a mobile terminal in the Internet of vehicles, such as authentication, integrity assessment and so on. TC...
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A trusted cryptography module (TCM) is introduced into vehicular electronic systems to solve security issues of a mobile terminal in the Internet of vehicles, such as authentication, integrity assessment and so on. TCM has many security features, including integrity measure, integrity report and trusted storage, which can make a vehicular electronic system achieve a trusted boot process and encrypt data and information for storage protection, thereby improving the privacy and security of vehicular platform information. Referring to the TNC(trusted network connect)architecture, we design a kind of vehicular terminal access model compatible with the TNC to authenticate and authorize the trusted vehicular platform with TCM to access Internet of vehicles. The vehicular terminal access model proposed will improve the credibility and security of the Internet of vehicles.
Deep web could automatically produce web pages according to the query criteria of users. The report found most query result page store data information using table form. knowledge management, information retrieval, We...
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Deep web could automatically produce web pages according to the query criteria of users. The report found most query result page store data information using table form. knowledge management, information retrieval, Web mining, abstract extraction and so on were benefited from automatically understanding of table forms. The study web forms on the web information extraction and integration have important significance. This paper proposed a domain-specific ontology based strategy for integration tables, and this method could independent the structure of table. Experimental results confirm that this method could effectively improve the accuracy of integration.
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