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A Genetic Algorithm for mapping tasks in heterogeneous computing systems

A Genetic Algorithm for mapping tasks in heterogeneous compu...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Adrian Alexandrescu Ioan Agavriloaei Mitică Craus Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iasi Romania

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.

关键词： Program processors Biological cells Genetic algorithms Heuristic algorithms Clustering algorithms computers Educational institutions

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A Review of Evolutionary Optimization Methods for Information Visualization and Feature Space Exploration

A Review of Evolutionary Optimization Methods for Informatio...

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IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA)

作者： Marius Gavrilescu Florin Leon Lavinia-Eugenia Ferariu Cristian-Nicolae Buțincu Faculty of Automatic Control and Computer Engineering “Gheorghe Asachi” Technical University of Iasi Romania

ISBN: (数字)9798350368130

ISBN: (纸本)9798350368147

Evolutionary optimization plays an important role in the representation of information from data sets originating from various technical fields and natural sciences, as it helps to explore parameter spaces for meaningful representations. Quality-Diversity (QD) methods, notably MAP-Elites variants, prove effective in diverse fields, emphasizing their ability to provide sets of high-performing solutions. This review discusses challenges in single- and multi-objective optimization, with applications in multiple directions such as image processing, visualization, and medical imaging. It also reviews QD algorithms and highlights advancements in algorithmic adaptations, user-driven optimization and the potential to explore complex feature spaces. The presented works contribute to understanding and applying evolutionary optimization for solving visualization and feature space exploration problems in various domains.

关键词： Visualization Technological innovation Uncertainty Costs Reviews Image processing Optimization methods

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Representation of Coherent Structures from Volume Data Using Quality-oriented Features and Genetic optimization

Representation of Coherent Structures from Volume Data Using...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Marius Gavrilescu Florin Leon Sabina-Adriana Floria Faculty of Automatic Control and Computer Engineering “Gheorghe Asachi” Technical University of Iasi Romania

Representing relevant information from volume data sets is a problem often faced in visualization. Generating meaningful images from highly-complex volume data sets is a challenging, tedious task requiring specialized knowledge of the distribution and properties of the data. Traditionally, this task has been carried out manually via specialized user interfaces. We propose a volume visualization pipeline which facilitates the automatic generation of high-quality images from volume data sets. Our method involves a direct volume renderer which generates images from volume data based on visual mappings provided by a transfer function. Central to our approach is a quality-focused descriptor which exploits the properties of the distribution of gradient orientations of an alpha-bounded surface within the volume. This feature is useful for determining transfer functions that result in the rendering of corresponding images depicting various details from the volume. We show that by using this feature as an optimization objective, the generation of high quality images can be automated. Using simple genetic algorithms, we can automatically generate sets of images illustrating coherent, easily-distinguishable and high-quality surfaces of relevant structures from volume data.

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The new numerical integration routine applied in sensorless drives

The new numerical integration routine applied in sensorless ...

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International (EPE-PEMC) Power Electronics and Motion control Conference

作者： Arkadiusz Gardecki Krystyna Macek-Kaminska Faculty of Electrical Engineering Automatic Control and Computer Science University of Technology Opole Poland

The paper presents a new numerical integration routine BGKODE_DSP. This routine is based on BGKODE routine, which forms a practical application of the Kroghpsilas algorithm. BGKODE_DSP routine realizes the predictor-corrector method and has been simplified to ensure its applicability in real time systems. The results of the comparison between the selected common numerical integration methods and the new routine is presented. The scope of this research also involves the range of accuracy of the solution resulting from the shorter computation time. Experiments have been carried out on experimental drive system with induction motor with the use of DTC method.

关键词： Differential equations Observers Artificial neural networks Accuracy Real time systems Mathematical model Torque

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Using spin images for hand gesture recognition in 3D point clouds

Using spin images for hand gesture recognition in 3D point c...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Bogdan Apostol Constantina Raluca Mihalache Vasile Manta Faculty of Automatic Control and Computer Engineering Technical University “Gheorghe Asachi” Iasi Romania

Depth information from a captured scene can provide a more complete description of objects which can be exploited for recognition purposes. In this paper we propose a new approach to static hand gesture recognition that explores only depth information acquired with a Microsoft Kinect camera. Firstly, the regions of interest are extracted from depth data and a 3D point cloud is created taking into consideration the capture device settings. Then, for each 3D point in the simplified point cloud the local spin image descriptor is computed. The performance of hand pose detection greatly depends on the 3D shape descriptor used. KPCA is used for dimensionality reduction and for noise elimination from obtained spin image histograms. The most relevant features in terms of principal components are served as input for a SVM classifier. Experimental results show a high level of accuracy in recognizing static hand gestures using spin images in 3D point clouds.

关键词： Three-dimensional displays Support vector machines Kernel Feature extraction Histograms Training Vectors

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A CSMA protocol under a priority time constraint for real-time communication

A CSMA protocol under a priority time constraint for real-ti...

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IEEE Workshop on Future Trends of Distributed Computing Systems

作者： M.N. El-Derini M.R. El-Sakka Department of Computer Sciences & Automatic Control Faculty of Engineering Alexandria University Alexandria Egypt

A novel protocol under a priority time constraint for real-time communication systems is proposed. This protocol can maintain two priority classes. The characteristics of the proposed protocol and its features are presented, and a simulator is built to examine its performance. The performance of the protocol is compared with that of the virtual-time carrier sense multiple-access (VT-CSMA) protocol. The results show that, although the proposed protocol has less throughput than the VT-CSMA protocol, its behavior is better than that of VT-CSMA with respect to high-priority packets. This behavior is the main goal of the protocol, which reduces high-priority-packet loss.< >

关键词： Multiaccess communication Protocols Time factors Clocks Delay Broadcasting Local area networks computer networks automatic control Data engineering

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Study of the long-term effect of STDP in areas of spiking neurons

Study of the long-term effect of STDP in areas of spiking ne...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Mircea Hulea Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iasi Romania

The spike-timing-dependent-plasticity (STDP) is a mechanism for adjusting the efficacies of biological synapses that was observed and studied in vitro. However, the STDP effect for natural neurons in vivo is subject of debate because in several experiments when the neurons are stimulated indirectly by natural paths the STDP effect was insignificant. Starting from these aspects this work studies by simulation the STDP long-term effect on synaptic plasticity in order to determine whether the long-term potentiation (LTP) and the long-term depression (LTD) could compensate each other during long-term activity of the neural network. The results show that for some synapses the weights start to oscillate in small intervals around long term stable values that are different from the limits of the weights variation interval. This behavior is caused by the fact that, indeed, the effects of LTP and LTD compensate each other at certain weight values when the same pattern of the input stimuli is presented repeatedly to the network input. The LTP and LTD compensation that determines long term weights stability to other values than the weight variation limits could improve the sensitivity of the learning process in the biological networks because no neuron specific limitation is introduced.

关键词： Neurons Biological system modeling Biological neural networks Computational modeling Brain modeling Biomembranes

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Introducing aceMote: An energy efficient 32 bit mote

Introducing aceMote: An energy efficient 32 bit mote

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International Conference on Development and Application Systems

作者： Andrei Stan Nicolae Botezatu Faculty of Automatic Control and Computer Engineering Technical University “Gheorghe Asachi” Iasi Romania

Wireless sensors networks is an active research topic. The sensor nodes (i.e. motes) are the main building blocks of these networks. There is a permanent concern for building more and more efficient motes in order to satisfy the demanding specifications of a sensor network. This paper introduces a new mote device: aceMOTE which is based on a 32 bit microcontroller. The hardware structure of the mote is presented and a comparison is made with similar popular devices. An experimental analysis is made regarding the energy consumption and the results prove that a 32 bit microcontroller is a viable choice for usage in mote design compared with the more frequently used 8 bit and 16 bit microcontrollers.

关键词： Microcontrollers Wireless sensor networks computer architecture Power demand Optimized production technology Hardware Energy consumption

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Secure transmission of sensitive data using multiple channels

Secure transmission of sensitive data using multiple channel...

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ACS/IEEE International Conference on computer Systems and Applications

作者： A.S. Abdelhamid A.A. Belal Department of Computer Science and automatic control Faculty of Engineering Alexandria University Alexandria Egypt

Summary form only given. A new scheme for transmitting sensitive data is proposed, the proposed scheme depends on partitioning the output of a block encryption module using the Chinese Remainder Theorem among a set of channels. The purpose of using the Chinese Remainder Theorem is to hide the cipher text in order to increase the difficulty of attacking the cipher. The proposed scheme assumes the existence of a set of transmission channels between the sender and the receiver parties from which S channels are chosen using some selection criteria. The message is divided into as set of blocks of a size that is a multiple of the size of the underlying block cipher block size. The resulting N bit encrypted block is used as an N-bits integer. This integer remainders with respect to S selected relatively prime numbers are sent over the S selected channels. On the receiver side the inverse Chinese remainder is applied to get the encrypted blocks followed by a decryption operation to construct the original message. The theory, implementation and the security of this scheme are described in the paper.

关键词： Cryptography Cathode ray tubes computer science automatic control Protection Data engineering Data security Error correction codes Niobium

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Image vectorization on modern architectures

Image vectorization on modern architectures

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IEEE International Conference on Intelligent computer Communication and Processing

作者： Emil Slusanschi Grigore Lupescu Computer Science and Engineering Departament Faculty of Automatic Control and Computers University "Politehnica" of Bucharest

ISBN: (纸本)9781479914920

This work presents an image vectorization application aimed to exploit features found in most of today's modern architectures. Design decisions supported by performance results are presented along with use cases for the proposed solution. We will present the algorithm, the target architectures and threading models, as well as a number of optimization techniques. Finally results of both low power SoC and high performance multicore processors are discussed.

关键词： Vectorization Heterogeneous Manycore Imaging Parallelism Multicore

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