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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...
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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...
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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...
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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...
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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...
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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...
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Sequential Pattern Mining*
Sequential pattern discovery has emerged as an important research topic in knowledge discovery and data mining with broad applications. Previous...
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Discovering the Factors Affecting the Location Selection of FDI in China*
Since the late 1970s, Foreign Direct Investment (FDI) has played an important role in the economic development of China. However, the growth of FDI...
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A New Theoretical Framework for K-Means-Type Clustering
One of the fundamental clustering problems is to assign n points into k clusters based on the minimal sum-of-squares(MSSC), which is known to be...
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Intelligent Agents to Improve Adaptivity in A Web-Based Learning Environment
This chapter focuses on the use of intelligent agents in on-line learning environments in which educational organizations can equip students with...
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Intelligent Agents that Learn to Deliver Online Materials to Students Better: Agent Design, Simulation and Assumptions
In this chapter, we discuss an integrated framework of case-based learning (CBL) in an agent that intelligently delivers learning materials to...
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Granular Nested Causal Complexes
Causal reasoning occupies a central position in human reasoning. In many ways, causality is granular. This is true for: perception, commonsense...
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The Evolution of the Concept of Fuzzy Measure
Most information discovery processes need to understand the reasons of the success of the inference methods or the usability of the new information,...
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Uncertain Knowledge Association Through Information Gain
The problem of entity association is at the core of information mining techniques. In this work we propose an approach that links the similarity of...
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Integrated Clustering Modeling with Backpropagation Neural Network for Effcient Customer Relationship Management
The rapid progress in digital data acquisition and storage technology has lead to the fast growing tremendous and amount of data stored in databases,...
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The Mathematics of Learning: Dealing with Data *
Learning is key to develo** systems tailored to a broad range of data analysis and information extraction tasks. We outline the mathematical...
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Web Page Classification*
This chapter describes systems that automatically classify web pages into meaningful categories. It first defines two types of web page...
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Using an Adapted Classification Based on Associations Algorithm in an Activity-Based Transportation System
A lot of research has been carried out in the past by using association rules to build more accurate classifiers. The idea behind these integrated...
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Clustering Via Decision Tree Construction
Clustering is an exploratory data analysis task. It aims to find the intrinsic structure of data by organizing data objects into similarity groups or...
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Sequential Pattern Mining by Pattern-Growth: Principles and Extensions*
Sequential pattern mining is an important data mining problem with broad applications. However, it is also a challenging problem since the mining may...