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  1. 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
  2. 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
  3. 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, CĂ©dric Join, Hugues Mounier in Advances in Communication Control Networks
    Chapter
  4. 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
  5. 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
  6. 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 Kulcsår, Rim Hammi in Advances in Communication Control Networks
    Chapter
  7. Optimization of Image Compression Method Based on Fuzzy Relational Equations by Overlap Level of Fuzzy Sets

    A design method of coders on YUV color space is proposed based on an overlap level of fuzzy sets, in order to optimize the image...
    Hajime Nobuhara, Eduardo Masato Iyoda, ... Witold Pedrycz in Computational Intelligence for Modelling and Prediction
    Chapter
  8. Multi-layer Image Transmission with Inverse Pyramidal Decomposition

    This paper presents a new image compression method based on the Inverse Difference Pyramid (IDP) decomposition, and one specific application of this...
    Roumen Kountchev, Mariofanna Milanova, ... Roumiana Kountcheva in Computational Intelligence for Modelling and Prediction
    Chapter
  9. A Fuzzy Rule-Based Trading Agent: Analysis and Knowledge Extraction

    In this paper, we show how a fuzzy rule-based system is developed for trading in a futures market. By our fuzzy rule-based system, an agent...
    Tomoharu Nakashima, Takanobu Ariyama, ... Hisao Ishibuchi in Computational Intelligence for Modelling and Prediction
    Chapter
  10. Non-Iterative ICA for Detecting Motion in Image Sequences

    The ICA (Independent Component Analysis) technique can be used to detect difference in a sequence of images. However, most implementations of this...
    Chapter
  11. Fuzzy Congestion Control In Packet Networks

    In this paper an adaptive fuzzy congestion control solution for active queue management in packet switched networks which use TCP to solve end-to-end...
    Chapter
  12. Mining Technical Patterns in The U. S. Stock Market through Soft Computing

    Technical analysis has been a part of financial practice for many decades. One of the most challenging areas in technical analysis is the automatic...
    Chapter
  13. Multiple Feature Relevance Feedback in Content- Based Image Retrieval using Probabilistic Inference Networks

    The BIR content based image retrieval system uses a Bayesian belief network architecture to match query by example images to images in a database....
    Campbell Wilson, Bala Srinivasan in Computational Intelligence for Modelling and Prediction
    Chapter
  14. Measuring User Satisfaction in Web Searching

    Search engines are among the most popular as well as useful services on the web. But the problem we face is due to the large number of search engines...
    Chapter
  15. Distances Between Intuitionistic Fuzzy Sets and their Applications in Reasoning

    In this article we propose the use of intuitionistic fuzzy sets (Atanassov [2]) as a tool for reasoning under imperfect facts and imprecise...
    Eulalia Szmidt, Janusz Kacprzyk in Computational Intelligence for Modelling and Prediction
    Chapter
  16. On The Generalization of Fuzzy Rough Approximation Based on Asymmetric Relation

    An asymmetric relation, called a weak similarity relation, is introduced as a more realistic relation in representing the relationship between two...
    Chapter
  17. A Fuzzy Method for Learning Simple Boolean Formulas from Examples

    We discuss a method for inferring Boolean functions from examples. The method is inherently fuzzy in two respects: i) we work with a pair of formulas...
    Bruno Apolloni, Andrea Brega, ... Anna Maria Zanaboni in Computational Intelligence for Modelling and Prediction
    Chapter
  18. Connectionist Fuzzy Relational Systems

    There have been an enormous number of fuzzy systems developed so far. For excellent surveys the reader is referred to [1][3][5][7][9][10][18][19]....
    RafaƂ Scherer, Leszek Rutkowski in Computational Intelligence for Modelling and Prediction
    Chapter
  19. Fuzzy Logic Control in Hybrid Power Systems

    In this chapter the dynamic analysis of a hybrid power system, employing diesel and locally available wind and solar energies, is discussed and...
    Josiah Munda, Sadao Asato, Hayao Miyagi in Computational Intelligence for Modelling and Prediction
    Chapter
  20. Data Mining and User Profiling for an E-Commerce System

    Many companies are now develo** an online internet presence to sell or promote their products and services. The data generated by e-commerce sites...
    Ken McGarry, Andrew Martin, Dale Addison in Classification and Clustering for Knowledge Discovery
    Chapter
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