In the last two decades, Chaos theory has received a great deal of attention from the cryptographic community. This paper presents two ideas. First idea is using chaotic functions to overcome the weaknesses of the cla...
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Simulation of quantum computers using classical computers is a hard problem with high memory and computational requirements. Parallelization can alleviate this problem, allowing the simulation of more qubits at the sa...
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Simulation of quantum computers using classical computers is a hard problem with high memory and computational requirements. Parallelization can alleviate this problem, allowing the simulation of more qubits at the same time or the same number of qubits to be simulated in less time. A promising approach is to exploit the high performance computing capabilities provided by the latest graphical processing units. In this paper we present a parallel implementation of the QC-lib quantum computer simulator on the GPU using the CUDA programming model. The proposed scheme for partitioning the terms that describe the state of a quantum register takes advantage of the specific characteristics of the CUDA memory spaces and allows for an efficient parallelization of the general singe qubit operator. Experimental results indicate that very good speed-ups can be obtained in contrast with the sequential implementation.
In proteomics 2-dimensional SDS-polyacrylamide gel electrophoresis (2D-PAGE) is the most widely used method for analyzing protein mixtures qualitatively. There are, however, a lot of noise and measurement biases which...
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ISBN:
(纸本)9789604742813
In proteomics 2-dimensional SDS-polyacrylamide gel electrophoresis (2D-PAGE) is the most widely used method for analyzing protein mixtures qualitatively. There are, however, a lot of noise and measurement biases which needs to be accounted for both in the localization of spots as well as in the quantitative measurement of protein expression. Previous techniques for denoising 2D gels are based on thresholding, smoothing and spot recognition. Wavelet transformations have also been applied to denoise 2D gels, however these techniques are typically in the frequency domain and they tend to shift spots slightly. In this paper, we improve the protein spot detection process by wavelet de-noising based on genetic algorithm.
Based on all realistic static two-cell coupling faults presented by Hamdioui, van de Goor, and Rodgers in [1], we have defined a complex model of neighborhood pattern sensitive faults (NPSFs) in N × 1 random-acce...
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Based on all realistic static two-cell coupling faults presented by Hamdioui, van de Goor, and Rodgers in [1], we have defined a complex model of neighborhood pattern sensitive faults (NPSFs) in N × 1 random-access memories [2]. Thus, the large model of NPSFs we have considered (called all static NPSFs) includes state coupling faults, transition coupling faults, write disturb coupling faults, read destructive coupling faults, deceptive read destructive coupling faults, and incorrect read coupling faults. A new multibackground march test able to cover this large model of NPSFs is presented in this paper.
An algorithmic framework is developed for automatic deployment of car-like robots based on Linear Temporal Logic (LTL) formulae over a set of regions of interest in the environment. The environment and the regions of ...
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An algorithmic framework is developed for automatic deployment of car-like robots based on Linear Temporal Logic (LTL) formulae over a set of regions of interest in the environment. The environment and the regions of interest are a priori known, and the robot has non-negligible size and restricted steering capabilities. The approach relies on constructing a probabilistic finite-state abstraction of the car-like robot and on finding a trajectory (run) in this abstraction such that the probability of satisfying the LTL formula is maximized. The feasibility of our approach is supported by simulations under Matlab environment.
The main objective of this work is the design and implementation of a hierarchical control solution for chemical and petrochemical processes, namely the control and optimization of the ethylene pyrolysis reactor, the ...
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The main objective of this work is the design and implementation of a hierarchical control solution for chemical and petrochemical processes, namely the control and optimization of the ethylene pyrolysis reactor, the key-installation in the petrochemical industry. The hierarchical control structures are organized on two levels of automation: the execution level, which has to fulfill two important tasks: the data acquisition from the physical plant and the regulation of the major parameters of the process and the supervisory level, referred to the optimization of the production.
In order to improve the lifetime and performance of a hybrid electric vehicle, one of the most challenging tasks is to improve the performance of the electrical energy storage, regarding the electrical power and energ...
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In order to improve the lifetime and performance of a hybrid electric vehicle, one of the most challenging tasks is to improve the performance of the electrical energy storage, regarding the electrical power and energy capacity. By introducing a supercapacitor as auxiliary source to increase the system power and to take over the battery stresses, the performance of the combined energy storage unit is improved. This paper introduces a completed model of energy storage system, including a pack of batteries, a pack of supercapacitors and a control strategy. The aim is to discharge the capacitors when the required power from energy storage is above a threshold meaning that the driver needs a boost of power for a period of time. Because of their high density of power supercapacitors have more efficiency in delivering it for short time. This has a positive impact on the fuel consumption and the state of charge at the end of the drive cycle.
A feedback controller is proposed for cancellation of magnetic resonance imaging (MRI) noise. The design of the controller takes into account specific features of the MRI noise signal. Simulation results show that a c...
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ISBN:
(纸本)9781618392800
A feedback controller is proposed for cancellation of magnetic resonance imaging (MRI) noise. The design of the controller takes into account specific features of the MRI noise signal. Simulation results show that a considerable rejection rate of the MRI noise can be obtained.
The constant and rapid growth of the Web complexity and the Web size generates new challenges regarding the approaches in efficient processing of Web searched results. Due to the dynamic Web content and the huge amoun...
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The constant and rapid growth of the Web complexity and the Web size generates new challenges regarding the approaches in efficient processing of Web searched results. Due to the dynamic Web content and the huge amount of information returned by search engines, it is necessary to find new methods and ways for better organizing and modelling the information spread on the Web. In this paper, we propose the structuring of the Web content as a hierarchical environment, taking into account the site content and structure, the HTML document structure and the term importance. Furthermore, we propose an effective partitional clustering algorithm for a Web site. The preliminary results prove the effectiveness of the new Web content representation and the accuracy of the Web clustering algorithm.
Heterogeneous computing systems require an efficient way of distributing tasks across processing nodes. The tasks have to be mapped to the processors which execute them in the shortest time possible, while keeping the...
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Heterogeneous computing systems require an efficient way of distributing tasks across processing nodes. The tasks have to be mapped to the processors which execute them in the shortest time possible, while keeping the processors at a similar load. Tests have shown that, in most cases, the genetic algorithm produces the best solution among all the mapping heuristics. This paper presents a Genetic Algorithm with a 3-Step Mutation which significantly increases the solution's convergence rate by using a combination of methods to mutate a chromosome. Beside the standard random approach, we implemented a targeted mutation operator which lightens the load of the most occupied processors. We also focused on different fitness functions in order to improve both the makespan and the load balance. The mutation combinations and the fitness functions are then tested to see which ones perform better and in what cases.
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