Abstract Wireless sensor network is a new information acquisition and processing technology. A large number of sensor nodes form a network through self-organization including each node integrates sensing unit, processing unit, communication unit and energy supply. The protocol multicast technology of wireless sensor network routing is a means of group communication, which requires information from the source node at the same... Wireless sensor network is a new information acquisition and processing technology. A large number of sensor nodes form a network through self-organization including each node integrates sensing unit, processing unit, communication unit and energy supply. The protocol multicast technology of wireless sensor network routing is a means of group communication, which requires information from the source node at the same time sent to multiple destination nodes, routing as the core technology of multimedia networks, its scope of study is extensive, including routing protocols, routing strategy and routing algorithms. In this paper, we mainly study the multicast routing algorithm which is based on Quality of Service (QoS), and introduce the search strategy which is based on the shortest path of pheromone in the process of ant colony feeding. MATLAB ant colony algorithm is also used in the WSN routing protocol multicast problem in the application of the problem solving for local optimization. The result of computer simulation shows that the ant colony algorithm has a better effect on solving the multicast protocol of WSN, and the algorithm can realize the fast positioning and query of wireless sensor network routing nodes. Read More Read Less

Abstract According to the flexible customization requirements of Intelligent Traffic Cloud Platform business function, this paper proposed the flexible customized solutions of Intelligent Traffic Cloud Platform based on the business function framework of the existing Intelligent Traffic Cloud Platform. The plan regards the platform business function design and implementation of flexible customization model as the core. The storage of business function... According to the flexible customization requirements of Intelligent Traffic Cloud Platform business function, this paper proposed the flexible customized solutions of Intelligent Traffic Cloud Platform based on the business function framework of the existing Intelligent Traffic Cloud Platform. The plan regards the platform business function design and implementation of flexible customization model as the core. The storage of business function customization model is realized based on XML technology. It designs the driving strategy of flexible customization model and realizes the flexible customization of platform business functions. Finally, the feasibility and effectiveness of the proposed scheme is verified by a specific service function on the Intelligent Traffic Cloud Platform. Read More Read Less

Abstract By means of advanced mobile internet technology and combining with practical problem in use of suitcase, the smart suitcase is researched and developed to meet users demands for safety, carrying and entertainment, so as to provide users trip with intelligent solution. Meanwhile, the innovation of core functional units of smart suitcase is proposed to implement intelligent design of traditional suitcase, research... By means of advanced mobile internet technology and combining with practical problem in use of suitcase, the smart suitcase is researched and developed to meet users demands for safety, carrying and entertainment, so as to provide users trip with intelligent solution. Meanwhile, the innovation of core functional units of smart suitcase is proposed to implement intelligent design of traditional suitcase, research suitcase relevant elements repeatedly, improve function, shape, structure, material, technology as well as color, and enhance product quality via design. On the one hand, the topic research refreshes traditional trip mode so that people can experience the convenience of smart trip; on the other hand, it provides people with faster use mode and meets users demands for personalized as well as high-tech products. Nowadays, the design of smart products under the era of internet of things has become a new trend, which meets users demand for suitcase, enables users to control smart suitcase easily with enjoying the comfort brought by the product, and keeps creating benefits for users and society. Read More Read Less

Abstract This paper proposes a fast plagiarism detection algorithm in large-scale data. Plagiarisms of superficial descriptions, such as "copy and paste", can be detected using a simple document similarity based on string matching. The algorithm reduces the effort for computing the document similarity by approximating the similarity. The effects of the approximation on the processing time and accuracy are evaluated by conducting... This paper proposes a fast plagiarism detection algorithm in large-scale data. Plagiarisms of superficial descriptions, such as "copy and paste", can be detected using a simple document similarity based on string matching. The algorithm reduces the effort for computing the document similarity by approximating the similarity. The effects of the approximation on the processing time and accuracy are evaluated by conducting experiments with a data set generated from practical scholarly documents. The experimental results show that the algorithm based on the approximated similarity can reduce the processing time of the straightforward algorithm based on the exact similarity to less than one-third in exchange for a slight decrease of the accuracy. Read More Read Less

Abstract Modeling the user profile can be the first step towards personalization of information search. The user profile refers to his/her interests built across his/her interactions with the information retrieval system. It could be inferred from the recent search history limited to a single search session, during a short period of time to model short term user interests. On the other hand, from the... Modeling the user profile can be the first step towards personalization of information search. The user profile refers to his/her interests built across his/her interactions with the information retrieval system. It could be inferred from the recent search history limited to a single search session, during a short period of time to model short term user interests. On the other hand, from the whole search history, to model long term ones stable for a long time. In this paper, we present a personalized information retrieval approach for building and updating the user profile, based on Temporal Bayesian network. The theoretical framework provided by these networks allows better capturing and exploiting the change of user interests over time. Experiments carried out on TREC-1 ad hoc and TREC 2011 session Track collections show that our approach achieves significant improvements over a personalized search approach described in the state of the art and also to a baseline search information process that do not consider the user profile. Read More Read Less

Abstract Text on the internet is written in different languages and scripts, and a language identification system is used to analyze and identify them. To improve the performance of text language identification, this paper proposes a three-stage short text language identification algorithm. The script of a given text is identified in the first stage of the algorithm. The language group to... Text on the internet is written in different languages and scripts, and a language identification system is used to analyze and identify them. To improve the performance of text language identification, this paper proposes a three-stage short text language identification algorithm. The script of a given text is identified in the first stage of the algorithm. The language group to which it belongs, consisting of languages written in the same script, is identified in the second stage. In the third stage, the specific language of the given text is recognized from within the language group. Experimental results showed that our proposed method improves the accuracy of text language identification systems stage by stage, reduces the time and the size of the feature set needed to make a prediction, and achieves optimal accuracy. Read More Read Less