Applied Mechanics and Materials Vols. 411-414

Paper Title Page

Abstract: In this paper the collaborative filtering recommendation and association rules are introduced firstly. Aiming at the shortcomings of basic collaborative filtering recommendation, this paper proposes an improved collaborative filtering recommendation algorithm based on weighted association rules (CFRA-WAR). Finally the simulation experiments are carried out to verify the validity of the improved recommendation algorithm. The results of simulation experiments show that the recommendation accuracy of CFRA-WAR is superior to basic collaborative filtering recommendation algorithm, although the algorithm time of CFRA-WAR is a little longer.
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Abstract: In this paper the web service recommendation is introduced firstly. Then an improved personalized web service recommendation algorithm based on user interest is proposed. Furthermore, the computing methods of user evaluation similarity and reliability degree of web service recommendation are described too. Finally, The results of simulation experiments show that the improved personalized web service recommendation algorithm based on user interest has much higher capacity of recommendation than the recommendation based on user content and is suitable for web service recommendation.
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Abstract: The report presents information with dynamic data and various formats. It is the foundation of the basic business requirements of enterprise and the implementation BI strategy. A good report can reflect enterprise's current operation status and give support to strategic decisions for the future. This paper gives the definition of multidimensional dynamic reports. The method of configuring report information by using XML and realizing the statistics of multidimensional dynamic reports by high-level programming language are also in this paper.
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Abstract: Vertical Search Engine provides a professional search compared with the traditional search engine. All of the data searched by vertical search engine is relative with some one theme, which is decided by users. Usually Vector Space Model is used for judging the relativity between data in the web and the decided theme. But when elements of the theme appear repeatedly, their order is not considered by Vector Space Model. Adding a new element, the Evolved Vector Space Model is provided. The experiments show that the new model has fixed the problem and have a better performance in judging relativity.
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Abstract: Traditional forms of health information dissemination have previously involved a few key organizations originating health-related information and disseminating this to clinicians and the community. This information was typically disseminated via private, formalized and non-digital interactions between health information sources (HIS) and clinicians and consumers. With the introduction of the Internet, Web-based health information dissemination led to some changes with greater availability of online health information. However the recent adoption and uptake of social media has led to many more parties, both organizations of varying types, and individuals, participating in public health information dissemination; and this has also led to new forms of sharing health-related information, particularly involving a greater role for individuals. In this paper we introduce empirical findings in relation to how organizations and individuals are now using social media for sharing health information, and from this suggest themes to describe the changes from traditional to contemporary health information dissemination, as well as the new emerging roles and forms of interaction for health information dissemination.
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Abstract: While much research work has been carried out in relation to the expertise of individuals in the domains of Q&A portals, special interest group portals, Wikipedia, blogs, and conference reviews, very little research has been done in relation to expertise measurement, based upon online professional social networks such as LinkedIn. Existing approaches have been based on evidence-based analysis from textual sources and communications. In this paper, we propose an expertise model based on expertise vectors composed of attributes and values derived by integrating information obtained in the two following ways: semi-automatic calculation utilizing online professional profile information collected from diverse online sources such as professional social network sites and some level of manual expertise identification by individuals. Unlike past approaches focusing on expertise measurement based on analysis of secondary evidence such as textual communications and/or social network activities, this is a novel approach to identifying expertise based on real-world work experience, qualifications and other skills indicated via information found in online professional profiles, often from professional social network sites. Given contemporary professional social network sites can have 100s of millions of participants such automated expertise measurement approaches are a step towards fine-grained, up-to-date and population-wide expertise capture and quantification.
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Abstract: SM4 is a 128-bit block cipher used in SOC and smart cards to ensure the safety of data transmission. In order to realize a low power implementation of the SM4 cipher block, some S-boxes were evaluated firstly and we proposed a new architecture of SM4 S-box called MUX S-box with a power consumption of 13.92W@10Mhz on SMIC 0.18m technology, Meanwhile, the implementation of SM4 cipher round based on the SM4 MUX S-box was completed and a low power consumption of 0.33mW @ 10 MHz on 0.18 m CMOS technology is achieved.
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Abstract: The user experience iterative process in interface design cannot meet the needs of point to point cases information delivery. In this paper, the process which combined with modern semiotics design methods was re-designed. With the process, design elements were refined in semiotics and the workflows and frames were recreated. And the point to point iterative interaction design process based on user experience were proposed through the interaction design of Kashgar self-service tourism website and developed the prototype system, which verified the practical application of the availability and effectiveness of the new design process.
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Abstract: In this paper, we proposed an authenticated key agreement scheme, TinyIBAK, based on the identity-based cryptography, for wireless sensor networks. The TinyIBAK scheme provides implicit identity authentication and key confirmation, which effectively prevents unauthenticated access to the sensor network and resists impersonation attacks. We implemented our proposal for TinyOS-2.1 based on the MICAz motes, analyzed the memory occupation, and evaluated the time and energy performance with the Avrora toolkit. Experimental results indicate that our proposal consumes an acceptable amount of resources, and is feasible for infrequent key distribution and rekeying in wireless sensor networks.
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Abstract: The Internet of things is widespread concerned by the whole society now. As an important component of the Internet of things, wireless sensor network has wide application prospect in various fields such as medical and health, military defense. The traditional data privacy protection technology of PKI system used in the WSN networks has its own weakness. This paper presents the secret key sharing mechanism to protect data privacy. The secret key, remote node and base station used to communicate, was divided into multiple secrets. The multiple secrets were distributed in the nodes which connect directly to the base station node. Only through collect more than threshold number of multi-secret that can decrypt the communication data between the base station and the remote node. To be safer, we used digital watermarking technology to protect the data transmission between the base station and the aggregate node. These techniques combined with the data slice, homomorphism encryption technology to protect data privacy, construct a safe and efficient wireless sensor networks.
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