An adaptive target queue length (ATQL) adjustment algorithm proposed in this paper cooperates with certain Active Queue Management (AQM) controllers to achieve more efficient buffer management for Internet congestion ...
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ISBN:
(纸本)0977520005
An adaptive target queue length (ATQL) adjustment algorithm proposed in this paper cooperates with certain Active Queue Management (AQM) controllers to achieve more efficient buffer management for Internet congestion control. ATQL algorithm which estimates the average traffic load and dynamically adjusts the target queue length in dynamic traffic environment can be easily embedded into a series of AQM controllers. By engaging ATQL, AQM controllers are more suited to random and unpredictable traffic scenarios. Simulations are applied to validate ATQL's ability in assisting AQM controllers in sustaining stable drop probability, minimizing unnecessary packet loss, guaranteeing the link utility and maximizing the exploitation of buffer spaces.
A physiological model integrating a pulsatile cardiovascular system model with a model of the pulmonary capillary fluid exchange based on the Starling's equations is proposed in order to analyse the micro-circulat...
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Flow-level traffic measurement is important for network management. The widely used centralized per-flow measurement faces a great challenge due to the demanding requirement on both memory bandwidth and memory size wi...
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A comparative analysis on vector-controlled induction motor drive with efficiency optimization using a neural-network-based and a model-losses-based approaches as flux estimator is presented in this paper. On-line est...
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Simulation has a significant role in controlengineering. It provides the best solution for educating new engineers without expensive experimentation on real systems. This paper presents a guide for constructing simul...
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Simulation has a significant role in controlengineering. It provides the best solution for educating new engineers without expensive experimentation on real systems. This paper presents a guide for constructing simulation models based on a recently presented hyper-class of hybrid automata. New type's definition is given jointly with some examples of guide's use. Guide is applicable in various programming environments and is oriented for undergraduate teaching purposes.
This paper focuses on the interaction of manual and automaticcontrol in a demanding task where the process is unstable and has actuator limitation. The problem is inspired by control of high performance aircrafts but...
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This paper deals with problems related to designing fault detection systems for linear uncertain systems, where model uncertainties are characterised by stochastic changes in the model parameters. First, statistical f...
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Artificial music composition is one of the ever rising problems of computer science. Genetic Algorithm has been one of the most useful means in our hands to solve optimization problems. By use of precise assumptions a...
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Artificial music composition is one of the ever rising problems of computer science. Genetic Algorithm has been one of the most useful means in our hands to solve optimization problems. By use of precise assumptions and adequate fitness function it is possible to change the music composing into an optimization problem. This paper proposes a new genetic algorithm for composing music. Considering entropy of the notes distribution as a factor of fitness function and developing mutation and crossover functions based on harmonic rules and trying to keep the melodies intact during these processes would result in a musical piece pleasant to human ears and interesting for human mind. This algorithm does not have the constraints of the previous algorithms. Restraining mutation and crossover functions with a goal of producing melodies based on acceptable melodies composed by humans, this algorithm is not bound to any genre, instrument or melody. The experimental results of this approach show that it is near to the human composing and the results produced from it are more acceptable than the ones produced by its predecessors.
The modeling of domains is today a technique with growing acceptance into the software community. Domain models allow the information to be represented in the computer at higher abstraction levels than in the usual ap...
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