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2018 International Conference on Applied Smart Systems (ICASS)最新文献

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Chaos secure communication’ implementation in FPGA 混沌安全通信在FPGA中的实现
Pub Date : 2018-11-01 DOI: 10.1109/ICASS.2018.8652046
T. Tami, T. Messaoudene, A. Ferdjouni, Prof.O. Benzineb
This paper presents a digital implementation of 4-D autonomous hyperchaotic system on a Field Programmable Gate Array (FPGA) technology. In the design, the system parameters are selected according to the requirements for obtaining a hyperchaotic behavior. The hyperchaotic nature is theoretically verified by using bifurcation analysis and Lyapunov exponents’ calculus; and experimentally assessed by the FPGA implementation. A master-slave scheme for secure data transmission is used. Active control is applied to carry out the synchronization between the master and the slave. FPGA technology is applied in order to be implemented in digital form the 4-D continuous system using a XILINX VERTEX5 chip. The digital sequence generated from the FPGA device is observed in our experimental setup. The implementation with 32 bits fixed point is chosen; highlighting the role of synchronization mechanisms of chaotic systems in the success of these transmissions.
本文提出了一种基于现场可编程门阵列(FPGA)技术的四维自治超混沌系统的数字实现方法。在设计中,根据获得超混沌行为的要求选择系统参数。利用分岔分析和李雅普诺夫指数演算,从理论上验证了超混沌的性质;并通过FPGA实现进行了实验评估。采用主从方案进行安全数据传输。采用主动控制实现主从同步。采用FPGA技术,采用XILINX VERTEX5芯片实现数字形式的四维连续系统。在我们的实验装置中观察了FPGA器件产生的数字序列。选择32位定点实现;强调了混沌系统的同步机制在这些传输成功中的作用。
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引用次数: 4
Adaptive Non-linear Diffusion Based Local Binary Pattern for Image Denoising 基于自适应非线性扩散的局部二值模式图像去噪
Pub Date : 2018-11-01 DOI: 10.1109/ICASS.2018.8652010
Azizi Abdallah, Azizi Zineb
Non-linear diffusion approaches are an effective way to reduce noise and preserve the edge information. In this paper, the work is extended to integrate the non-linear diffusion and local binary pattern (LBP) textons, where the diffusivity function is adapted to pixels type after LBP classification. This allows smoothing on homogenous and noisy regions but not on edges. The proposed method preserves edges better because the diffusion is controlled taking into account the difference of diagonal neighbors in addition to four nearest neighbors. Experimental results on synthetic and real images illustrate the effective performance of the proposed method.
非线性扩散方法是一种有效的去噪和保留边缘信息的方法。本文将工作扩展到整合非线性扩散和局部二值模式(LBP)文本,其中扩散函数适用于LBP分类后的像素类型。这允许平滑均匀和有噪声的区域,但不允许平滑边缘。该方法除了考虑4个最近邻外,还考虑了对角近邻的差异来控制扩散,从而更好地保留了边缘。在合成图像和真实图像上的实验结果表明了该方法的有效性。
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引用次数: 1
Direct vector command based on three-level NSVM of a doubly fed induction generator for wind energy conversion 基于三能级非源虚拟机的双馈风力发电机组直接矢量控制
Pub Date : 2018-11-01 DOI: 10.1109/ICASS.2018.8651957
H. Benbouhenni, Z. Boudjema, A. Belaidi
This research work presents a new three-level space vector modulation (SVM) based on artificial neural networks (ANNs) of a doubly fed induction generator (DFIG) integrated into a wind energy conversion system (WECS) is presented. The traditional direct vector control (DVC) using PI controller presents considerable stator reactive and active ripples. In order to ensure a robust DVC technique for the DFIG-rotor side converter and reduces electromagnetic torque, current, reactive and active ripples, a DVC based on NSVM inverter is used in this work. Simulation results show the efficiency of the proposed technique of control especially on the quality of the provided power comparatively to a DVC with pulse width modulation inverter.
提出了一种基于人工神经网络的三能级空间矢量调制(SVM)方法,用于集成在风能转换系统(WECS)中的双馈感应发电机(DFIG)。采用PI控制器的传统直接矢量控制(DVC)会产生相当大的定子无功波纹和有功波纹。为了保证dfg -转子侧变换器的鲁棒性,降低电磁转矩、电流、无功纹波和有功纹波,本文采用了一种基于NSVM逆变器的DVC技术。仿真结果表明,与带脉宽调制的DVC逆变器相比,所提出的控制方法具有较好的控制效果,特别是在输出功率质量方面。
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引用次数: 10
Reorganization of Clusters of Similar Operations 相似操作集群的重组
Pub Date : 2018-11-01 DOI: 10.1109/ICASS.2018.8651960
Rekkal Sara, Amrane Bakhta, Loukil Lakhdar
In order to ensure the high availability of web services operations; recently we have opted for a communities-based approach. This approach consists in grouping in a single cluster all operations offering the same functionality (the same outputs). The client (for a substitution requirement e.g.) can select, in this set, the operation (s) according to their non-functional criteria but also according to their inputs parameters. The customer is satisfied, on the one hand, he has all similar operations as the failed one, but, on the other hand, he feels lost: what are the operations taking this or that inputs, as the failed one? In this context, and in order to guide and help users in their choices, we have considered the reorganization of the clusters by specifying the relations linking the inputs of the operations of the same cluster.
以保证web服务运行的高可用性;最近,我们选择了以社区为基础的方法。这种方法包括将提供相同功能(相同输出)的所有操作分组到单个集群中。客户(例如,对于替换需求)可以根据其非功能性标准,也可以根据其输入参数,在此集合中选择操作。客户很满意,一方面,他拥有与失败的操作相同的所有操作,但另一方面,他感到失落:作为失败的操作,哪些操作使用了这个或那个输入?在这种情况下,为了指导和帮助用户做出选择,我们通过指定连接同一集群操作输入的关系来考虑集群的重组。
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引用次数: 0
Adaptive Complex Flower Pollination Algorithm for Interferometric Coherence optimisation. 干涉相干性优化的自适应复杂花授粉算法。
Pub Date : 2018-11-01 DOI: 10.1109/ICASS.2018.8651981
S. Tahraoui, M. Ouarzeddine
This paper presents a new interferometric coherence optimisation approach, based on complex Flower Pollination Algorithm (FPA). FPA is a new recently developed algorithm based on pollination process of plants, that is used to solve constrained and/or multi-objective optimization problems. The proposed approach gives an additional option by enabling the optimization of a specific scattering, for example surface scattering, passing by double bounce scattering, or dipole scattering $cdots$ etc. by defining the scattering vector format. Moreover, a modified version of FPA is proposed, which make it faster, and give better outcome in term of interferometric coherence mean. A comparison of the proposed algorithm with previous optimization methods will be made showing its efficiency and its good outcome in term of phase quality, and residues percentage. The obtained results are interesting and promising.
提出了一种基于复杂花授粉算法(FPA)的干涉相干优化方法。FPA算法是近年来发展起来的一种基于植物授粉过程的算法,用于解决约束和/或多目标优化问题。该方法通过定义散射矢量格式,提供了一种额外的选择,可以优化特定的散射,例如表面散射,通过双反弹散射或偶极子散射等。在此基础上,提出了一种改进的FPA算法,提高了算法的速度,提高了干涉相干平均精度。将该算法与以往的优化方法进行比较,结果表明该算法在相位质量和残留率方面具有较好的效率和效果。得到的结果是有趣的和有希望的。
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引用次数: 3
Effect of temperature on the Electromagnetic Characteristic Behavior of Copper 温度对铜电磁特性行为的影响
Pub Date : 2018-11-01 DOI: 10.1109/ICASS.2018.8652063
Tahar Merizgui, A. Hadjadj, B. Gaoui, M. Kious
In order to solve the influence of electromagnetic interference on the electronic devices which may have tremendous effects on its proper functions if the shielding protection is not appropriately implemented. The metals are increasingly used in the most shielding applications, but the main problem is this metals have a good shielding efficiency and works at high temperature. In the present paper, we study the effect of temperature in the frequency range 0 Hz-108 Hz on the physical proprieties of metals especially on the conductivity taking the example of copper sheets.
为了解决电磁干扰对电子设备的影响,如果不适当地实施屏蔽保护,可能会对电子设备的正常功能产生巨大影响。金属在大多数屏蔽应用中得到越来越多的应用,但主要问题是这种金属具有良好的屏蔽效率和工作在高温下。本文以铜片为例,研究了0 Hz-108 Hz频率范围内温度对金属物理性质特别是电导率的影响。
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引用次数: 5
An optimal velocity robust car-following model with consideration of control uncertainty 考虑控制不确定性的最优速度鲁棒汽车跟随模型
Pub Date : 2018-11-01 DOI: 10.1109/ICASS.2018.8652077
Oussama Messaoudi
The real world is an uncertain environment in which vehicles’ actions can be stochastic and, as a result, drivers become uncertain of the exact outcome of their decisions. A correct and accurate modelling of the driving task while taking uncertainty into consideration is crucial to reproduce a reliable and realistic driving behaviour. Hence, the simulation of such behaviour will be useful for understanding the dynamics of the urban traffic and, most importantly, for the development of new intelligent transportation systems. In this paper, we propose an optimal velocity robust car-following model (OV-RCFM) to describe and simulate the longitudinal control task with consideration of control uncertainty. The main aim of this model is to produce a reliable and collision-free velocity control under different configurations of an uncertain simulation environment.
现实世界是一个不确定的环境,在这个环境中,车辆的行为可能是随机的,因此,驾驶员对他们的决定的确切结果变得不确定。在考虑不确定性的同时,对驾驶任务进行正确准确的建模对于再现可靠和真实的驾驶行为至关重要。因此,这种行为的模拟将有助于理解城市交通的动态,最重要的是,对于开发新的智能交通系统。本文提出了一种考虑控制不确定性的最优速度鲁棒跟车模型(OV-RCFM)来描述和模拟纵向控制任务。该模型的主要目的是在不确定仿真环境的不同配置下产生可靠的无碰撞速度控制。
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引用次数: 0
Compressive Strength Modelling of Cellulosic Fibers Mortar Composites Using Full Factorial and Artificial Neural Network 基于全因子和人工神经网络的纤维素纤维砂浆复合材料抗压强度建模
Pub Date : 2018-11-01 DOI: 10.1109/ICASS.2018.8651959
Amina Lachenani, Oussama Megateli, M. Bentchikou, Mounir Mekki, S. Hanini
A methodology to study the compressive strength of hard cement mortar with recycled cellulosic fibers under different conditions based on the full factorial experimental design and artificial neural network is presented in this research work. An experimental procedure to show the parameters that affect the compressive strength as percentage of fibers, age, and compaction pressure is conducted. The effect of these parameters and their interaction effects for compressive strength response are determined using full factorial design. Statistical analysis shows that the percentage of fibers has a major effect on the compressive strength. The use of the artificial neural network approach in the prediction of compressive strength indicates a considerable correlation between the model obtained from this approach and the experimental results.
本文提出了一种基于全因子试验设计和人工神经网络的再生纤维素纤维硬水泥砂浆在不同条件下抗压强度研究方法。实验程序显示了影响抗压强度的参数,如纤维的百分比,年龄和压实压力。使用全因子设计确定了这些参数及其相互作用对抗压强度响应的影响。统计分析表明,纤维的掺量对纤维的抗压强度有重要影响。人工神经网络方法在抗压强度预测中的应用表明,该方法得到的模型与实验结果有相当大的相关性。
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引用次数: 0
Ultra Wide Band Planar Antenna Using Stepped Patch and Defected Ground Plane 阶梯式贴片和缺陷接地面的超宽带平面天线
Pub Date : 2018-11-01 DOI: 10.1109/ICASS.2018.8652004
T. Messaoudene, T. Tami, Farid Bouttout, O. Benzineb
This paper deals with the development of a novel Ultra Wide Band (UWB) microstrip antenna, using the Ansys HFSS 18.0.0 simulation tool and Anritsu MS4644A Vector Network Analyzer (VNA). The developed antenna consists of a patch of non-regular shape etched on an FR4 dielectric substrate, excited with a 50 Ohm microstripline, having a defected ground plane. In order to improve the bandwidth, the design of the antenna is based on staircase patch shapes, curved shapes, together with the presence of a slot and a notch of a defected ground plane. The obtained bandwidth of the antenna is 2.42–11.87 Ghz. Data concerning the radiation pattern of the antenna are shown in conjunction with a parametric study of the effect of antenna dimensions on its characteristics. The obtained results in the experimental validation step using the VNA, are quite conclusive, showing the performance of the antenna realized in terms of bandwidth and matching and also fulfilling the conditions required by the US FCC standard 3.1–10.6 Ghz bandwidth, which incorporates all the UWB standards of the world.
本文利用Ansys HFSS 18.0.0仿真工具和安立公司MS4644A矢量网络分析仪(VNA)开发了一种新型超宽带(UWB)微带天线。所开发的天线包括在FR4介质衬底上蚀刻的不规则形状的贴片,用50欧姆的微带线激发,具有缺陷的接平面。为了提高带宽,天线的设计基于阶梯贴片形状、弯曲形状以及存在缺陷接平面的插槽和缺口。得到的天线带宽为2.42 ~ 11.87 Ghz。有关天线辐射方向图的数据与天线尺寸对其特性影响的参数化研究一起显示。在VNA的实验验证步骤中得到的结果是相当确凿的,表明所实现的天线在带宽和匹配方面的性能,也满足了美国FCC标准3.1-10.6 Ghz带宽的要求,该标准包含了世界上所有的超宽带标准。
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引用次数: 2
The CMAC Neurocontroller for efficient learning in visual servoing 用于视觉伺服高效学习的CMAC神经控制器
Pub Date : 2018-11-01 DOI: 10.1109/ICASS.2018.8651971
K. Reda, Moualdia Abdelhafidh, Bouhedda Mounir
The use of vision has increased the capabilities of manipulator robots, making the problem of control more complex. Aimaing to pathway a target with a robot arm in Cartesien space involves to use precise commands. We propose a neural controller based on CMAC (Cerebellar Model Articulation Controller) networks in a visual servoing. This new structure splits the robot’s workspace and assigns different CMAC controllers imposing thus specialized region CMAC. Then, the neurocontroller’s sensitivity and precision is increased compared to a single CMAC with the same number of weights. Consequently, Robot positioning and target tracking with visual feedback can be done with a better precision.
视觉的应用提高了机械手的能力,使控制问题变得更加复杂。用机械臂在笛卡尔空间中瞄准目标需要精确的指令。提出了一种基于CMAC(小脑模型关节控制器)网络的视觉伺服神经控制器。这种新结构划分了机器人的工作空间,并分配了不同的CMAC控制器,从而实现了专门的区域CMAC。然后,与具有相同权重数的单个CMAC相比,神经控制器的灵敏度和精度得到了提高。因此,基于视觉反馈的机器人定位和目标跟踪可以得到更好的精度。
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引用次数: 1
期刊
2018 International Conference on Applied Smart Systems (ICASS)
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