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Proposed Document Frequency technique for minimizing dataset in Web crawler

Proposed Document Frequency technique for minimizing dataset...

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International Conference on computer Engineering and Systems

作者： Amany M. Sarhan Ghada M. Hamissa Heba E. Elbehiry Computer &Automatic Control Dept. Tanta University Egypt Electrical Engineering Dept. KFS University Egypt

The explosive growth of webpage number on the Web has brought up some problems in the search process. One of these problems is that the general purpose search engines often return too many irrelevant results when users are searching for specific information on a given topic. Another problem is the massive increase in the number of pages to be indexed by Web search systems. In this research, two steps for Web Crawling are used to decrease these difficulties. First step is the feature selection for the datasets used. A proposed algorithm of feature selection, which uses the Document Frequency technique for the term in the category, is presented. Second step is Web page classification. Two famous techniques of Web page classification are used: (i) Support Vector Machine and (ii) Naïve Bayes Classifier. It is concluded that the proposed algorithm, using Document Frequency technique, reduces the redundancy during feature selection and increases accuracy during Web page classification. Complete evaluation is performed, in JAVA, to indicate the effectiveness of our proposed algorithm.

关键词： Classification algorithms Web pages Support vector machines Training Standards Kernel Search problems

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Feature Selection algorithms based on HTML tags importance

Feature Selection algorithms based on HTML tags importance

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International Conference on computer Engineering and Systems

作者： Amany M. Sarhan Ghada M. Hamissa Heba E. Elbehiry Computer & Automatic Control Dept. Tanta University Egypt Electrical Engineering Dept. KFS University Egypt

Traditionally in Web crawling, the required features are extracted from the whole contents of HTML pages. However, the position which a word is located inside the HTML tags indicates its importance in the web page. This research proposes two ideas concerning the Feature Selection stage in HTML web pages. The first idea reduces the features by simply extracting them from the important tags in an HTML page in order to achieve faster classification. The second idea gives weights for each of the important tags. Two algorithms are presented in this paper based on these ideas: i) Important HTML tags only algorithm, ii) Weighted Important HTML tags only algorithm. The selected features are classified using two famous classifiers in the literature: Support Vector Machine (SVM) and Naïve Bayes classifier (NBC). The accuracy of each algorithm is computed. Comparison between the accuracies of traditional feature selection method, which uses the whole contents of HTML page, and the proposed algorithms is performed. Complete evaluation is performed which indicates the effectiveness of using our technique. The experimental results show improved precision and recall with the proposed algorithms with respect to keyword-based search. The algorithms are implemented in JAVA and its extended packages.

关键词： Web pages HTML Classification algorithms Support vector machines Feature extraction Search engines Crawlers

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Adaptive optimization for active queue management supporting TCP flows

Adaptive optimization for active queue management supporting...

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American control Conference

作者： Simone Baldi Elias B. Kosmatopoulos Andreas Pitsillides Marios Lestas Petros A. Ioannou Yiming Wan Delft Center of Systems and Control Netherlands Dept. of Electrical and Computer Engineering Democritus University of Thrace Xanthi Greece Computer Science Department University of Cyprus (UCY) Nicosia Cyprus Department of Electrical Engineering Frederick University Nicosia Cyprus Department of Electrical Engineering University of Southern California Los Angeles USA

ISBN: (纸本)9781467386838

An adaptive decentralized strategy for active queue management of TCP flows over communication networks is presented. The proposed strategy solves locally, at each link, an optimal control problem, minimizing a cost composed of residual capacity and buffer queue size. The solution of the optimal control problem exploits an adaptive optimization algorithm aiming at adaptively minimizing a suitable approximation of the Hamilton-Jacobi-Bellman equation associated with the optimal control problem. Simulations results, obtained by using a fluid flow based model of the communication network and a common network topology, show improvement with respect to the Random Early Detection strategy. Besides, it is shown that the performance of the proposed decentralized solution is comparable with the performance obtained with a centralized strategy, which solves the optimal control problem via a central unit that maintains the flow states of the entire network.

关键词： Protocols Communication networks Optimal control Mathematical model Delays Optimization networks(communications) Optimal control rotation management adaptive optimization protocols Mathematical Model Telecommunications Tritolyl Phosphates tactical command post Network topology delay Residual Volume fluid flow

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Online policy iterations for optimal control of input-saturated systems

Online policy iterations for optimal control of input-satura...

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American control Conference

作者： Simone Baldi Giorgio Valmorbida Antonis Papachristodoulou Elias B. Kosmatopoulos Delft Center for Systems and Control Delft University of Technology 2628CD The Netherlands Department of Engineering Science Control Group University of Oxford Parks Road OX1 3PJ U.K. Dept. of Electrical and Computer Engineering Democritus University of Thrace Xanthi 67100 Greece

ISBN: (纸本)9781467386838

This work proposes an online policy iteration procedure for the synthesis of sub-optimal control laws for uncertain Linear Time Invariant (LTI) Asymptotically Null-controllable with Bounded Inputs (ANCBI) systems. The proposed policy iteration method relies on: a policy evaluation step with a piecewise quadratic Lyapunov function in both the state and the deadzone functions of the input signals;a policy improvement step which guarantees at the same time close to optimality (exploitation) and persistence of excitation (exploration). The proposed approach guarantees convergence of the trajectory to a neighborhood around the origin. Besides, the trajectories can be made arbitrarily close to the optimal one provided that the rate at which the the value function and the control policy are updated is fast enough. The solution to the inequalities required to hold at each policy evaluation step can be efficiently implemented with semidefinite programming (SDP) solvers. A numerical example illustrates the results.

关键词： Optimal control Linear systems Convergence Asymptotic stability Lyapunov methods Estimation Trajectory trajectory Optimal control Lyapunov methods asymptotic stability region Linear system Converge iterative methods control strategy Policies

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Development of Firewall Optimization Model Using by Packet Filter

Development of Firewall Optimization Model Using by Packet F...

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International Conference on computer Modeling and Simulation, UKSIM

作者： Myo Thant Kyaw Zaw Ye Kyaw Myat Thu Si Thu Thant Sin Mandalay Division Defence Services Science and Technology Research Center PyiOoLwin Myanmar Department of Informatics and Computer Software System National Research University of Electronic Technology Zelenograd Moscow Russia Department of Automatic Control Systems Bauman Moscow State Technical University Moscow Russia Dept. of Comput. Sci. Nat. Res. Univ. of Electron. Technol. Zelenograd Russia

ISBN: (纸本)9781509008896

This paper studies one particular aspect of providing communication security: firewall technology. This article provides a security framework in the form of packet filtering model within the firewall technology system and its components can be designed and evaluated. This paper introduces a reference model based on packet filtering firewall technology. All components are governed by a centralized security policy and they can be deployed in a distributed fashion to achieve scaling. This packet filtering firewall design is proven technology that provides confidentiality, integrity and availability in own information and network resources. The required design implement to set-up packet filtering firewall for network to protect and unauthorized access to our network. We describe the filtering process design depends on its underlying network technologies. The resulting security mechanism can be used as a bastion-host in the construction of firewall system.

关键词： Computational modeling Filtering Transport protocols computers Informatics Software

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Diagnosis of wind turbine rotor system

Diagnosis of wind turbine rotor system

引用

American control Conference

作者： Henrik Niemann Mahmood Mirzaei Lars Christian Henriksen Niels Kjolstad Poulsen Dept. of Electrical Engineering Automation and Control Build. 326 Technical University of Denmark DK-2800 Kgs. Lyngby Denmark Dept. of wind energy Technical University of Denmark DK-2800 Kgs. Lyngby Denmark AF Consult Lyskaer 3F 2730 Herlev Denmark Dept. of Applied Mathematics and Computer Science Technical University of Denmark DK-2800 Kgs. Lyngby Denmark

ISBN: (纸本)9781467386838

This paper describes a model free method for monitoring and fault diagnosis of the elements in a rotor system for a wind turbine. The diagnosis as well as the monitoring is done without using any model of the wind turbine and the applied controller or a description of the wind profile. The method is based on available standard sensors on wind turbines. The method can be used both on-line as well as off-line. Faults or changes in the rotor system will result in asymmetries, which can be monitored and diagnosed. This can be done by using the multi-blade coordinate transformation. Changes in the rotor system that can be diagnosed and monitored are: actuator faults, sensor faults and internal blade changes as e.g. change in mass of a blade.

关键词： Wind turbines Monitoring Sensors Rotors Fault diagnosis Blades Aerodynamics

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Nonlinear soft tissue mechanics based on polytopic Tensor Product modeling 14

Nonlinear soft tissue mechanics based on polytopic Tensor Pr...

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IEEE 14th International Symposium on Applied Machine Intelligence and Informatics, SAMI 2016

作者： Takács, Árpád Haidegger, Tamás Galambos, Péter Kuti, József Rudas, Imre J. Antal Bejczy Center for Intelligent Robotics Óbuda University Bécsi út 96/b Budapest1034 Hungary Dept. of Telecommunication and Media Informatics Budapest University of Technology and Economics Magyar Tudósok Krt. 2. Budapest1117 Hungary Institute for Computer Science and Control Hungarian Academy of Sciences Kende u. 13-17 Budapest1111 Hungary Austrian Center for Medical Innovation and Technology Viktor-Kaplan-Strasse 2 Wiener Neustadt2700 Austria

ISBN: (纸本)9781467387408

Achieving reliable force control is one of the main design goals of robotic teleoperation. It is essential to grant safe and stable performance of these systems, regarding HMI control, even under major disturbing conditions such as time delay or model parameter uncertainties. This paper discusses the systematic derivation of polytopic qLPV model from the nonlinear dynamics of typical soft tissues of the human body based on recent experimental results. The derivation is based on the Tensor Product (TP) Model Transformation. The presented method is a crucial step in laying the foundations of adequate force control in telesurgery. The proposed approach could form the basis of LMI-based controller design. © 2016 IEEE.

关键词： Force control

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Is the identification of SNP-miRNA interactions supporting the prediction of human lymphocyte transcriptional radiation responses? 6

Is the identification of SNP-miRNA interactions supporting t...

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6th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2015

作者： Dolbniak, Marzena Zyla, Joanna Kabacik, Sylwia Manning, Grainne Badie, Christophe Alsbeih, Ghazi Polanska, Joanna Institute of Automatic Control Faculty of Automatic Control Electronic and Computer Science Silesian University of Technology Akademicka 16 Gliwice Poland Cancer Genetics and Cytogenetics Group Biological Effects Department Centre for Radiation Chemical and Environmental Hazards Public Health England DidcotOX11 ORQ United Kingdom Radiation Biology Section Biomedical Physics Dept. King Faisal Specialist Hospital and Research Centre Riyadh11211 Saudi Arabia

ISBN: (纸本)9789897580703

Genome-Wide Association Studies (GWAS) are of great importance in identifying the genetic variants associated with traits/diseases. Due to the high number of candidate SNPs some filtering techniques are necessary to be applied. The aim of the study was to develop the comprehensive approach allowing for detailed analysis of both SNP-gene and SNP-miRNA-gene relations. We elaborated and optimized the novel signal analysis pipeline improving significantly the results of the analysis on genotype-phenotype interplay. Direct links between genotype results and gene expression levels were enriched by detailed analysis of SNP-miRNA-gene interactions at both mature miRNA structure/seed region and target binding site level. The proposed technique was applied to the data on lymphocyte radiation response and increased by almost 100% number of potential functional SNPs.

关键词： Gene expression

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Nonlinear soft tissue mechanics based on polytopic Tensor Product modeling

Nonlinear soft tissue mechanics based on polytopic Tensor Pr...

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International Symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： Árpád Takács Tamás Haidegger Péter Galambos József Kuti Imre J. Rudas Antal Bejczy Center for Intelligent Robotics Óbuda University Budapest Hungary Austrian Center for Medical Innovation and Technology Wiener Neustadt Austria Institute for Computer Science and Control Hungarian Academy of Sciences Budapest Hungary Dept. of Telecommunication & Media Informatics Budapest University of Technology and Economics Budapest Hungary

关键词： Optimized production technology Mathematical model Biological systems Biological system modeling

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Optimizing collaborative learning path by ant's optimization technique in e-learning system

Optimizing collaborative learning path by ant's optimization...

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International Conference on Information Technology Based Higher Education and Training, ITHET

作者： Imane Kamsa Rachid Elouahbi Fatima El Khoukhi Touria Karite Hayat Zouiten Dept. Mathematics and Computer Science Faculty of Sciences Moulay Ismail University Meknes Morocco Team. Modelling Applied Informatics in Humanities Faculty of Humanities Moulay Ismail University Meknes Morocco Lab. Mathematics for Analysis and Control systems Faculty of Sciences Moulay Ismail University Meknes Morocco

ISBN: (纸本)9781509007790

The approach that we propose in this paper is part of the optimization of the collaborative learning in the e-learning environment. It is particularly interested in the automatic creation of groups called homogeneous teams, based on a set of criteria to highlight the similarity between the learners. This similarity is calculated using a similarity index that is the Euclidean distance. Then an optimal path guiding each community is built, through a dynamic adaptation of the optimization technique by ant colony. In this article, we have implemented the methodological framework and the algorithmic modeling of our approach, given that our future work will focus on the implementation and the empirical validation of our design.

关键词： Collaborative work Optimization Collaboration Electronic learning Euclidean distance Asynchronous communication

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