Fast development of smart grid has made it essential to promote the intelligent level of electrical equipment. As circuit breakers is an important kind of control and protection equipment in power system, its on-line ...
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Fast development of smart grid has made it essential to promote the intelligent level of electrical equipment. As circuit breakers is an important kind of control and protection equipment in power system, its on-line monitoring and fault diagnosis are significant parts of electrical equipment intelligence. Traditional Petri net is used to establish graph-based models to detect faults while the application of fuzzy Petri net makes decision of complex faults more *** this paper, fuzzy Petri net is combined with rough set theory which is utilized to simplify the diagnosis rules. the combination of the two algorithms can not only improve diagnosis efficiency quickly but also meet the demands of on-line fault diagnosis much better. the effectiveness of theproposed method is proved by satisfactory results of field experiments.
Trust relationship plays an important role in helping customers arrive at a trade decision in e-commerce. Numerous models and prediction algorithms have been proposed to calculate trust value. However, these models an...
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Trust relationship plays an important role in helping customers arrive at a trade decision in e-commerce. Numerous models and prediction algorithms have been proposed to calculate trust value. However, these models and algorithms are impractical in e-commerce transaction. In this paper, customer-to-customer and customer-to-commodity trust relationship sub-networks are proposed to get clear trust network which can be maintained easily. Trust relationships are divided into three types which are functional trust, referral trust and latent trust. We propose a trust algorithm to compute the trust value of customer-to-commodity trust which can help customers to make final purchase decisions directly. Our algorithm is based on more comprehensive trust features such as the referral trust, latent trust, domain similarity of Web commodities that users are interested in, and the influence of different reputations of users within two sub-networks. Experiment results with data sets from *** illustrate more accurate trust prediction compared withthose existed algorithms.
Wireless sensor networks have attracted great interest in the last decade, and have provided solutions in a growing number of applications. the location of sensors is a major issue in these networks. Many localization...
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Acquisition, tracking and pointing(ATP)system is the core of high speed and large capacity of laser communication in atmosphere, spot jitter generated by the disturbances among long distance laser communication has se...
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Acquisition, tracking and pointing(ATP)system is the core of high speed and large capacity of laser communication in atmosphere, spot jitter generated by the disturbances among long distance laser communication has seriously affected the precise alignment between laser communication terminals, and greatly reduces the stability of the communication link and quality. In order to suppress the facula dithering, improve the accuracy of target tracking, this paper proposes an improved fast steering mirror control method. Analyzes the features of self-adaptive control and conventional PID control, and discusses the advantage of composite control withthe two algorithms, proposes model reference self-adaptive control algorithm of PID, according to the Lyapunov theory, and makes algorithm simulation analysis withthe conventional PID and model reference self-adaptive and PID compound control and do closed-loop tracking experiment of actual facula dithering. the experimental results show that, the adaptive PID controller obtains the overshoot is 2%,rising time is 3ms,trackingaccuracy better than 2 microradian, overall better than the conventional PID control algorithm. Compared withthe traditional PID control, control algorithm which is proposed in this paper has better inhibition of spot jitter.
In this paper the new iterative learning control algorithm is proposed and its properties are derived. An important characteristic of the algorithm is that they use the polynomial representations of the inverse plant ...
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ISBN:
(纸本)9781479944415
In this paper the new iterative learning control algorithm is proposed and its properties are derived. An important characteristic of the algorithm is that they use the polynomial representations of the inverse plant G to construct the new control law. the approach is based on the parameter optimization through a quadratic performance index which its solution will convert in norm to zero. It is capable to produce an improvement to the convergence rate. As the number of polynomial term increases, faster convergence rate is accomplished and the ideal plant inverse algorithm is approached. A comparison between the proposed algorithm and the inverse type parameter optimal ILC is also presented based significantly on the convergence rate.
the proceedings contain 37 papers. the topics discussed include: a qualitative framework for analyzing homeostasis in gene networks;knowledge-based subtractive integration of mRNA and miRNA expression profiles to diff...
ISBN:
(纸本)9789897580123
the proceedings contain 37 papers. the topics discussed include: a qualitative framework for analyzing homeostasis in gene networks;knowledge-based subtractive integration of mRNA and miRNA expression profiles to differentiate myelodysplastic syndrome;empirical study of domain adaptation with na?ve bayes on the task of splice site prediction;a novel feature generation method for sequence classification - mutated subsequence generation;uneven distribution of potential triplex sequences in the human genome - in silico study using the R/bioconductor package triplex;Bayesian prognostic model for genomic discovery in bipolar disorder;search of possible insertions in bacterial genes;towards a large integrated model of signal transduction and gene regulation events in mammalian cells;and impact of single amino acid substitution upon protein structure.
Use of high-level scripting languages to solve big data problems has become a mainstream approach for sophisticated machine learning data analysis. Often data must be used in several steps of a computation to complete...
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ISBN:
(纸本)9781479970346
Use of high-level scripting languages to solve big data problems has become a mainstream approach for sophisticated machine learning data analysis. Often data must be used in several steps of a computation to complete a full task. Composing default data transformation operators withthe standard Hadoop MapReduce runtime is very convenient. However, the current strategy of using high-level languages to support iterative applications with Hadoop MapReduce relies on an external wrapper script in other languages such as Python and Groovy, which causes significant performance loss when restarting mappers and reducers between jobs. In this paper, we reduce the extra job startup overheads by integrating Apache Pig withthe high-performance Hadoop plug-in Harp developed at Indiana University. this provides fast data caching and customized communication patterns among iterations for data analysis. the results show performance improvements of factors from 2 to 5.
the proceedings contain 57 papers. the topics discussed include: children's uses of Facebook in crisis and peace: a comparative study;digital inclusion to promote social inclusion;sentiment analysis in social netw...
ISBN:
(纸本)9781941763001
the proceedings contain 57 papers. the topics discussed include: children's uses of Facebook in crisis and peace: a comparative study;digital inclusion to promote social inclusion;sentiment analysis in social networks;some ideas concerning the need for networking of open access repositories of digital university libraries: a case study of the EU VisegraÁd group;trends in the study of cloud computing: observations and research gaps;dynamic fair division of duties for sensor management;program modeling of the cryptography algorithms on basis of polynomial modular arithmetic;comparative student success analysis of distance education and traditional education in associate degree programs;distance education activities in Sakarya university for associate, undergraduate and post-graduate degrees;secondary schools students' language literacy skills aided by the use of computer tools;women teachers empowered through trade union activism in England;back to the future of it resource performance modeling and capacity planning;to elluminate or not to elluminate? that is the question;bring your own technology (BYOT) to education;mathematics teaching practice assessment using student-teacher portfolios;which virtual classroom tools are used in the distance education?;pedagogical model for online learning: the case of system engineering subjects at national university of southern Patagonia;optimizing voice processing resources of the trunk gateways in NGN networks;and comparing a real-life WSN platform small network and its OPNET modeler model using hypothesis testing.
the proceedings contain 100 papers. the topics discussed include: a multi-agent vehicle routing system for garbage collection;novel hybrid PSO algorithms with search optimization strategies for a university course tim...
ISBN:
(纸本)9781479934478
the proceedings contain 100 papers. the topics discussed include: a multi-agent vehicle routing system for garbage collection;novel hybrid PSO algorithms with search optimization strategies for a university course timetabling problem;a study of graph simulation methodologies for synthetic covert social network;a noval algorithm for distributed data mining in HDFS;efficient priority queue algorithm and strainer mode technique for identification and eradication of duplications in XML records;a modest analysis of energy aware routing mechanisms for wireless sensor networks;energy efficient hybrid MCDS algorithm for MANETS;SOA based open data model for information integration in smart grid;computer forensics in IT audit and credit card fraud investigation;and autonomous system based traceback mechanism for DDoS attack.
the proceedings contain 124 papers. the topics discussed include: identifying and managing risks in the development of online educational software;a content based approach for recommending personnel for job positions;...
ISBN:
(纸本)9781479961719
the proceedings contain 124 papers. the topics discussed include: identifying and managing risks in the development of online educational software;a content based approach for recommending personnel for job positions;genetic-airs: a hybrid classification method based on genetic algorithms and artificial immune systems;an event-based framework for supply chain management;3DSYSTEK web-based point cloud viewer;requirements gathering as an essential process in customizing health information systems for small scale health care facilities;overhead and performance of low latency live streaming using mpeg-dash;automatic information extraction from heatmaps;and organization development model building a positive attitude towards information technology (IT) integrated in teaching and learning for an educational institution.
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