The volume of published scientific literature available on Internet has been increasing exponentially. Some of them reflect the latest achievement of the specific research domain. In recent years, many projects have b...
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For people improving the energy-saving performances of buildings, the applications of information communication, computernetwork, automation control and etc. are the current building energy-saving technologies. They ...
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For people improving the energy-saving performances of buildings, the applications of information communication, computernetwork, automation control and etc. are the current building energy-saving technologies. They form with a serial of technique measures for buildings with energy management systems running implementation and intelligent monitoring. This paper introduces and analyzes the information technology in building energy-saving. For building energy-saving on the demand for intelligent building energy monitoring, this paper proposed a system framework of Building Energy Monitoring and Analysis System based on the Internet of things, which has some enlightening in Building energy consumption further to achieve real-time monitoring and control, and improve the energy-saving of intelligent building.
Pairings is used to construct many cryptographic systems for which no other efficient implementation is known, such as identity based encryption. Especially, the ηT-paring on supersingular curves over a finite field ...
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Pairings is used to construct many cryptographic systems for which no other efficient implementation is known, such as identity based encryption. Especially, the ηT-paring on supersingular curves over a finite field GF(3n) is efficiently implementable. The security of cryptosystems using such ηT-parings is based on the difficulty to solve Discrete Logarithm Problem (DLP) in GF(3n). Therefore, in the collaborative research of National institute of Information and Communications Technology (NICT) and Future University-Hakodate, we successfully set a new record for solving the DLP in GF(36.71) of 676-bit size. In this paper, we remark about the collaborative research.
With the development of Internet, Email has become an important interaction manner. At the same time, spam becomes a boring thing in our life, and people pay more and more attention to spam filter. In this paper, we p...
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With the development of Internet, Email has become an important interaction manner. At the same time, spam becomes a boring thing in our life, and people pay more and more attention to spam filter. In this paper, we p...
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With the development of Internet, Email has become an important interaction manner. At the same time, spam becomes a boring thing in our life, and people pay more and more attention to spam filter. In this paper, we propose a method that uses N-Gram to calculate characters and uses X statistical method to extract characters, and then uses incremental Native Bayes arithmetic to hold up spam. In order to arise accuracy we use the filter method over and over again. The experiments show that our method is very effective, which greatly raises the accurarcy while keeping a minor error ratio.
In this paper, we present a detailed evaluation of a set of well-known Machine Learning classifiers in front of dynamic and non-deterministic software anomalies. The system state prediction is based on monitoring syst...
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In this paper, we present a detailed evaluation of a set of well-known Machine Learning classifiers in front of dynamic and non-deterministic software anomalies. The system state prediction is based on monitoring system metrics. This allows software proactive rejuvenation to be triggered automatically. Random Forest approach achieves validation errors less than 1% in comparison to the well-known ML algorithms under a valuation. In order to reduce automatically the number of monitored parameters, needed to predict software anomalies, we analyze Lasso Regularization technique jointly with the Machine Learning classifiers to evaluate how the prediction accuracy could be guaranteed within an acceptable threshold. This allows to reduce drastically (around 60% in the best case) the number of monitoring parameters. The framework, based on ML and Lasso regularization techniques, has been validated using an ecommerce environment with Apache Tomcat server, and MySql database server.
In order to improve independence and autonomy capability in Web services deployment and publishment, and enhance understanding or updating capability of service knowledge between service agents in service discovery an...
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Matchmaking is the basis of service discovery and composition. Using ontology semantically express the capabilities of services, accurately match, discovery and composition service. Domain ontologies and Formal Concep...
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Digital campus is one important part to the digital earth and Internet of Things. Based on the analysis of the LBS performance, structure, function and the present research status of digital campus we propose a digita...
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Digital campus is one important part to the digital earth and Internet of Things. Based on the analysis of the LBS performance, structure, function and the present research status of digital campus we propose a digita...
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Digital campus is one important part to the digital earth and Internet of Things. Based on the analysis of the LBS performance, structure, function and the present research status of digital campus we propose a digital campus design project based on LBS and we discuss the architecture. We take a campus as a simulation implement. Map engine is the tool of implementation of the LBS platform. GIS is used here to give the navigation and the platform is combined and advanced with virtual reality technology such as VRML. Though the platform we achieve a terminal location, map query, three-dimensional browsing, navigation and guides tracking and monitoring, and other functions. The LBS platform improves the work and study efficiency of teachers and students, accelerates the construction and application of digital campus, and provides a new idea for the future development of digital campus system.
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