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  1. Belief Consensus and Distributed Hypothesis Testing in Sensor Networks

    In this paper, we address distributed hypothesis testing (DHT) in sensor networks and Bayesian networks using the average-consensus algorithm of...
    Reza Olfati-Saber, Elisa Franco, ... Je. S. Shamma in Networked Embedded Sensing and Control
    Chapter

  2. Plenary Talk Network-Embedded Sensing and Control: Applications and Application Requirements

    The first part of my talk will cover some recent commercially successful applications of networked and embedded sensing and control solutions. These...
    Tariq Samad in Networked Embedded Sensing and Control
    Chapter

  3. Plenary Talk: Delays in Control over Communication Networks: Characterization, Impact, and Reduction Strategies

    The most notable trend in manufacturing over the past five years is probably the move towards networks at all levels of industrial systems. At lower...
    Dawn Tilbury in Networked Embedded Sensing and Control
    Chapter

  4. Disturbance Attenuation Bounds in the Presence of a Remote Preview

    We study the fundamental limits of disturbance attenuation of a networked control scheme, where a remote preview of the disturbance is available. The...
    Nuno C. Martins, Munther A. Dahleh, John C. Doyle in Networked Embedded Sensing and Control
    Chapter

  5. Robust Controller Design for AQM and $\mathcal{H}^{\infty}$ -Performance Analysis

    Active Queue Management (AQM) has recently been proposed in [1] to support the end-to-end congestion control for TCP traffic regulation on the...
    Peng Yan, Hitay Özbay in Advances in Communication Control Networks
    Chapter

  6. Control of Communication Networks Using Infinitesimal Perturbation Analysis of Stochastic Fluid Models

    Managing and operating large scale communication networks is a challenging task and it is only expected to get worse as networks grow larger. The...
    Christos Panayiotou, Christos G. Cassandras, ... Yorai Wardi in Advances in Communication Control Networks
    Chapter

  7. State-Space Models for Control and Identification

    In the last two decades, design and performance evaluation of efficient congestion control methods for packet-switching computer communication...
    Henri-François Raynaud, Caroline Kulcsár, Rim Hammi in Advances in Communication Control Networks
    Chapter

  8. Position and Force Tracking in Bilateral Teleoperation

    A teleoperator is a dual robot system in which a remote slave robot tracks the motion of a master robot, which is, in turn, commanded by a human...
    Nikhil Chopra, Mark W. Spong, ... Nikita E. Barabanov in Advances in Communication Control Networks
    Chapter

  9. On the Optimization of Load Balancing in Distributed Networks in the Presence of Delay

    Distributing the total computational load across available processors is referred to as load balancing in the literature. A typical distributed...
    Sagar Dhakal, Majeed M. Hayat, ... J. Douglas Birdwell in Advances in Communication Control Networks
    Chapter

  10. An Introduction to Nonlinear Fault Diagnosis with an Application to a Congested Internet Router

    We aim at extending a recent linear theory on fault diagnosis [8, 9] to nonlinear systems by utilising, like Staroswiecki et al. [39], and Diop et...
    Michel Fliess, Cédric Join, Hugues Mounier in Advances in Communication Control Networks
    Chapter

  11. Simulated Annealing Approach for the Multi-objective Facility Layout Problem

    In general, facility layout problems are occurred if there are changes in requirements of space, people and equipments. When the changes of...
    Umut R. Tuzkaya, Tijen Ertay, Da Ruan in Intelligent Data Mining
    Chapter

  12. Penalty-Reward Analysis with Uninorms: A Study of Customer (Dis)Satisfaction

    In customer (dis)satisfaction research, analytic methods are needed to capture the complex relationship between overall (dis)satisfaction with a...
    Koen Vanhoof, Pieter Pauwels, ... Geert Wets in Intelligent Data Mining
    Chapter

  13. Association Rule Based Specialization in ER Models

    Association rules (ARs) emerged in the domain of market basket analysis and provide a convenient and effective way to identify and represent certain...
    Martine De Cock, Chris Cornelis, ... Etienne E. Kerre in Intelligent Data Mining
    Chapter

  14. Mining Association Rules with Rough Sets

    We say that there is an association between two sets of items when the sets are likely to occur together in transactions. In information retrieval,...
    D.A. Bell, J.W. Guan, D.Y. Liu in Intelligent Data Mining
    Chapter

  15. Accelerating the New Product Introduction with Intelligent Data Mining

    New product development (NPD) is a vital activity for companies. It is also a very risky process since every development stage involves a high degree...
    Gülçin Büyüközkan, Orhan Feyzioğlu in Intelligent Data Mining
    Chapter

  16. A User Centred Approach to Management Decision Making

    The management decision making process is becoming increasingly complicated as more detailed and extensive data is available in this information age....
    L.P. Maguire, T.A. McCloskey, ... R. McIvor in Intelligent Data Mining
    Chapter

  17. Techniques to Improve Multi-Agent Systems for Searching and Mining the Web

    Nowadays, an abundant amount of information is created and delivered over electronic media. The information gathering in the Internet is a complex...
    E. Herrera-Viedma, C. Porcel, ... A.G. Lopez-Herrera in Intelligent Data Mining
    Chapter

  18. Gene Regulating Network Discovery

    Gene regulation has been an important research topic for the past 30 years and data processing models based on different assumptions have been...
    Yingjun Cao, Paul P. Wang, Alade Tokuta in Intelligent Data Mining
    Chapter

  19. Semantic Relations and Information Discovery

    The treatment of semantic relations between terms is essential in information retrieval (IR). Each term in a thesaurus might have classes of...
    D. Cai, C.J. van Rijsbergen in Intelligent Data Mining
    Chapter

  20. A Feature/Attribute Theory for Association Mining and Constructing the Complete Feature Set

    A correct selection of features (attributes) is vital in data mining. For this aim, the complete set of features is constructed. Here are some...
    T.Y. Lin in Foundations and Advances in Data Mining
    Chapter
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