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Distributed Control over Failing Channels
We give sufficient convex conditions for the existence of a distributed controller, with the same interconnection structure as the plant, when the...
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Modeling and Designing the Internet Congestion Control
The Internet is a set of interconnected packet switching networks each of them having its own protocol. It was soon recognized the importance of...
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Closed Loop Control of a Load Balancing Network with Time Delays and Processor Resource Constraints
The objective of parallel processing is to reduce wall-clock time and increase the size of solvable problems by dividing the code into multiple...
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Communication Requirements for Networked Control
There is an increasing interest in studying control systems employing multiple sensors and actuators that are geographically distributed....
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Suboptimal Control Techniques for Networked Hybrid Systems
Over the past decade, major advancements in the areas of communications and computer networks [20] have made it possible for control engineers to...
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A Sliding Mode Approach to Traffic Engineering in Computer Networks
In this chapter, we address the problem of optimal Traffic Engineering (TE) in computer networks; i.e., determining an optimal traffic allocation in...
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Delay Effects on the Asymptotic Stability of Various Fluid Models in High-Performance Networks
Roughly speaking, a communication network consists of a collection of (network users/sources) elements interconnected to transfer information or data...
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References
Abstract not available
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Procedure-Aware Action Quality Assessment: Datasets and Performance Evaluation
In this paper, we investigate the problem of procedure-aware action quality assessment, which analyzes the action quality by delving into the...
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Self-Tuning Fuzzy Rule Bases with Belief Structure
A fuzzy rule-based evidential reasoning (FURBER) approach has been proposed recently, where a fuzzy rule-base designed on the basis of a belief...
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Logical Regression Analysis: From Mathematical Formulas to Linguistic Rules
Data mining means the discovery of knowledge from (a large amount of)data, and so data mining should provide not only predictions but also knowledge...
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Just-in-Time Approach to Learning: Arguing the Case for Cost-Effective Knowledge Dissemination
This chapter focuses on e-learning and its relationship with organizational knowledge dissemination. We argue this requires a holistic approach that...
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Intelligent Virtual Teaching
There are two major groups of existed adaptive education systems: Adaptive Hypermedia (AH) and Intelligent Tutoring Systems (ITS). While the atention...
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Personalized Multi-Stage Decision Support in Reverse Logistics Management
Reverse logistics has gained increasing importance as a profitable and sustainable business strategy. As a reverse logistics chain has strong...
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Advanced Simulator Data Mining for Operators’ Performance Assessment
This chapter covers the use of data mining operations associated with power plant simulations for training and other purposes, such as risk...
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Data Mining for Maximal Frequent Patterns in Sequence Groups
In this paper, we give a general treatment for mining some kinds of sequences such as customer sequences, document sequences, and DNA sequences....
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Privacy-Preserving Data Mining
The growth of data mining has raised concerns among privacy advocates. Some of this is based on a misunderstanding of what data mining does. The...
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Sensory Quality Management and Assessment: from Manufacturers to Consumers
This paper presents an intelligent technique based method for analyzing and interpreting sensory data provided by multiple panels for the evaluation...