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2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)最新文献

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Wavelet transformation method to allocate the OFDM signals peaks 用小波变换的方法分配OFDM信号的峰值
Pub Date : 2016-03-21 DOI: 10.1109/SSD.2016.7473667
O. Daoud, Q. Hamarsheh, A. Damati
This work makes use of the entropy in order to propose a wavelet transformation algorithm to detect the odd peaks. Furthermore, this algorithm has been used to enhance the Orthogonal Frequency Division Multiplexing (OFDM) system performance based on combatting the peak-to-average power ratio (PAPR) problem. Three main stages are used to fulfill the process requirements; OFDM signal transformation based on the wavelet structure, thresholding process based on a predetermined criterion, and the filtration stage based on the moving filter. The proposed algorithm performance has been checked and validated not just numerically but also by a MATLAB conducted simulation. Furthermore, to check the simulation results, a comparison has been made to the literature; and shows promising results under the same bandwidth occupancy and systems limitations.
本文利用熵的概念,提出了一种检测奇峰的小波变换算法。此外,该算法还用于克服峰值平均功率比(PAPR)问题,提高正交频分复用(OFDM)系统的性能。实现工艺要求主要分为三个阶段;OFDM信号的变换基于小波结构,阈值处理基于预定准则,滤波阶段基于移动滤波器。该算法的性能不仅在数值上得到了验证,而且通过MATLAB进行了仿真。此外,为了验证模拟结果,与文献进行了比较;在相同的带宽占用和系统限制下,显示出令人满意的结果。
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引用次数: 9
WO3 sensors array coupled with pattern recognition method for gases identification WO3传感器阵列与模式识别相结合的气体识别方法
Pub Date : 2016-03-21 DOI: 10.1109/SSD.2016.7473744
Rabeb Faleh, M. Othman, S. Gomri, K. Aguir, A. Kachouri
This paper presents the performance of gas sensors as electronic nose coupled with pattern recognition method for gases identification. In fact, the implementation of the electronic nose in a characterization process is based on two fundamental phases: a learning phase and a phase of identification. That is why we need an accurate extraction method in order to obtain performant classification. In this study, we propose to extract transient parameters in a dynamic mode: derivate and integral. The performance of these features is validated by the analysis method: principal component analysis (PCA) and K nearest neighbors (KNN), which present 98, 74% rate classification.
本文介绍了电子鼻与模式识别相结合的气体传感器的气体识别性能。事实上,电子鼻在表征过程中的实现基于两个基本阶段:学习阶段和识别阶段。这就是为什么我们需要一种准确的提取方法来获得高性能的分类。在这项研究中,我们提出了一种动态模式提取瞬态参数:导数和积分。通过主成分分析(PCA)和K近邻分析(KNN)验证了这些特征的性能,它们的分类率为98.74%。
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引用次数: 1
Virtual channel router architecture for Network on Chip with adaptive inter-port buffers sharing 具有自适应端口间缓冲区共享的片上网络虚拟通道路由器结构
Pub Date : 2016-03-21 DOI: 10.1109/SSD.2016.7473771
Manel Langar, R. Bourguiba, Jaouhar Mouine
Network on chip (NoC) is the new efficient interconnection structure of nowadays complex system on chips. The performance of NoC in terms of latency, throughput and power consumption should be optimized. Since buffers consume around 60% area and 30% power of the whole router, the relationship between network performance and memory resources has to be considered. In this paper, we propose a new router architecture enabling an adaptive virtual channels sharing among different input ports. This router solves the problem of virtual channels underutilization; it improves the area and power consumption performance without affecting the latency.
片上网络(NoC)是当今复杂片上系统的新型高效互连结构。应该优化NoC在延迟、吞吐量和功耗方面的性能。由于缓冲区占用整个路由器大约60%的面积和30%的功率,因此必须考虑网络性能和内存资源之间的关系。在本文中,我们提出了一种新的路由器架构,可以在不同的输入端口之间实现自适应的虚拟通道共享。该路由器解决了虚拟信道利用率不足的问题;在不影响延迟的情况下,提高了面积和功耗性能。
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引用次数: 3
Modular platforms for E-mobility charging stations 电动汽车充电站的模块化平台
Pub Date : 2016-03-21 DOI: 10.1109/SSD.2016.7473758
Sebastian Neujahr, Moritz Thummler, A. Pretschner
The growing number of electric vehicles in urban areas needs an appropriate electrical charging infrastructure. The paper describes a strictly hard- and software modularized charging station, their design principles and methodological approach. Within in the scope of this project several master theses were written.
城市地区越来越多的电动汽车需要适当的充电基础设施。本文介绍了一种严格软硬件模块化的充电站,以及它们的设计原理和方法方法。在这个项目的范围内,写了几篇硕士论文。
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引用次数: 1
An intelligent behavior-based fish feeding system 一种基于智能行为的鱼类喂养系统
Pub Date : 2016-03-21 DOI: 10.1109/SSD.2016.7473754
Hamzah S. AlZu'bi, W. Al-Nuaimy, Jonathan Buckley, Iain S. Young
Aquaculture is a growing multi-billion pound industry facing many challenges. Traditional fish feeding mechanism in today's aquaculture farms stands behind a variety of challenges, including fish welfare, fish growth distribution, environmental effect especially in open ocean cage fish farms, and production cost efficiency. Adaptive smart fish feeder based on fish behaviours is proposed in this paper in order to minimize the effect of the traditional feeding mechanisms. The proposed feeding mechanism interacts, recognizes and responses to fish activities. The proposed smart fish feeder feeds fish based on their request regardless the time of the day. The smart fish feeding aims to minimize food waste and maximize the food conversion ratio (FCR). The proposed system is expected to cause uniform fish growth among individuals within the tank as the feeding depends on fish requests. Fish welfare is expected to be enhanced since there is no food competition and food waste is expected to be less making water good quality last for longer. This paper proposes hardware design of the smart feeder and smart software algorithm. Preliminary results will be discussed in this paper.
水产养殖是一个不断增长的数十亿英镑的产业,面临着许多挑战。在当今的水产养殖场中,传统的鱼类饲养机制面临着各种挑战,包括鱼类福利、鱼类生长分布、环境影响(特别是开放海洋网箱养鱼场)和生产成本效率。为了最大限度地减少传统喂鱼机制的影响,本文提出了一种基于鱼类行为的自适应智能喂鱼器。提出的摄食机制相互作用,识别和响应鱼类的活动。这款智能喂鱼器可以根据鱼的需求,在一天中的任何时候给鱼喂食。智能养鱼旨在减少食物浪费,最大限度地提高食物转化率(FCR)。由于喂饲取决于鱼的需求,因此拟议的系统预计将使鱼缸内个体之间的鱼生长均匀。由于没有食物竞争,预计鱼类福利将得到提高,食物浪费预计将减少,从而使优质水持续更长时间。提出了智能馈线的硬件设计和智能软件算法。初步结果将在本文中讨论。
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引用次数: 24
Lyapunov stability bounds mapping for descriptor and switching systems 广义系统和切换系统的Lyapunov稳定性界映射
Pub Date : 2016-03-21 DOI: 10.1109/SSD.2016.7473726
Rick Vosswinkel, Frank Schrödel, Nils Denker, K. Röbenack, D. Abel, Hendrik Richter
Calculating the stabilising parameter space of descriptor and switching systems is non-trivial. In this paper a new approach for the stability region calculation for descriptor and switching systems is presented by using a Lyapunov stability mapping method. This method has several advantages over the existing parameter space approaches. Currently, the calculation of the complex root boundaries relies on frequency sweeping or decoupling at singular frequencies. The new proposed method avoids this while reducing the computational complexity and increasing the practicality of the method at the same time.
广义系统和切换系统的稳定参数空间的计算是非平凡的。本文利用李雅普诺夫稳定性映射法,提出了一种计算广义切换系统稳定域的新方法。与现有的参数空间方法相比,该方法具有许多优点。目前,复数根边界的计算依赖于频率扫描或奇异频率解耦。新方法避免了这一问题,同时降低了计算复杂度,提高了方法的实用性。
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引用次数: 6
On the stabilization of a certain class of Takagi-Sugeno fuzzy systems 一类Takagi-Sugeno模糊系统的镇定问题
Pub Date : 2016-03-21 DOI: 10.1109/SSD.2016.7473686
M. Ksantini, M. Hammami, F. Delmotte
This paper deals with the problem of stabilization based feedback controller for a class of Takagi-Sugeno fuzzy nonlinear systems. Some sufficient conditions are given for the global stability of the closed-loop fuzzy control systems. An example is given to illustrate the applicability of the main result.
研究了一类Takagi-Sugeno模糊非线性系统的基于镇定的反馈控制器问题。给出了闭环模糊控制系统全局稳定的几个充分条件。最后通过算例说明了主要结果的适用性。
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引用次数: 0
Noise reduction using multi-channel FIR warped Wiener filter 采用多通道FIR扭曲维纳滤波器进行降噪
Pub Date : 2016-03-21 DOI: 10.1109/SSD.2016.7473687
A. Shamsa, S. Ghorshi, M. Joorabchi
Enhancing the speech quality is the aim of noise reduction techniques. In order to have a desirable speech signal, it is necessary to eliminate the hearing fatigue and enhance the quality and intelligibility of speech signal. The present of additive noise causes the signal to degrade where the noise reduction techniques intend to remove the effect of noise on speech signals. However, removing the noise should not harm the speech signal when the signal is going to be heard. In this regard, Wiener filter can be used to promote the quality and intelligibility of the noisy signals. This paper explores the performance of multi-channel Wiener filter accompanied by Warped FIR filter.
提高语音质量是降噪技术的目的。为了获得理想的语音信号,必须消除听觉疲劳,提高语音信号的质量和可理解性。加性噪声的存在导致信号退化,而降噪技术的目的是消除噪声对语音信号的影响。然而,当语音信号即将被听到时,去除噪声不应损害语音信号。在这方面,可以使用维纳滤波器来提高噪声信号的质量和可理解性。本文研究了带有弯曲FIR滤波器的多通道维纳滤波器的性能。
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引用次数: 6
Exoskeleton robots for upper-limb rehabilitation 上肢康复外骨骼机器人
Pub Date : 2016-03-21 DOI: 10.1109/SSD.2016.7473769
Y. Bouteraa, Ismail Ben Abdallah
In this paper, the design of a new upper limb rehabilitation system is presented. The developed system is an exoskeleton with two degrees of freedom that can be used for diagnosis, physical therapy, and outcome evaluation. The system is dedicated to the patients with paraplegia of their upper extremities due to stroke or any disorders of the central or peripheral nervous system. The designed robot-aided therapy actuates both movements: flexion/extension for the elbow and pronation/supination for the forearm. The robotic system used Kinects skeletal tracking for an upper limb rehabilitation. Position control is communicated via a wireless network. Indeed a ZigBee protocol using xbee communication modules has been installed to ensure remote control of rehabilitation exercise. A kinematic model has been developed based on Denavit-Hartenberg approach to make first tests. A sliding mode robust law control has been implemented. The Lyapunov-based approach has been used to establish the system asymptotic stability. Experimental results are provided to demonstrate performances of the developed robot of upper limb remote rehabilitation.
本文介绍了一种新型上肢康复系统的设计。开发的系统是一个具有两个自由度的外骨骼,可用于诊断,物理治疗和结果评估。该系统专门用于因中风或任何中枢或周围神经系统疾病而导致上肢截瘫的患者。设计的机器人辅助疗法驱动两个运动:肘关节的屈曲/伸展和前臂的旋前/旋后。机器人系统使用Kinects骨骼跟踪进行上肢康复。位置控制通过无线网络进行通信。实际上,已经安装了使用xbee通信模块的ZigBee协议,以确保康复训练的远程控制。基于Denavit-Hartenberg方法建立了运动学模型,进行了首次试验。实现了滑模鲁棒律控制。利用基于lyapunov的方法建立了系统的渐近稳定性。实验结果验证了所研制的上肢远程康复机器人的性能。
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引用次数: 23
An automatic pattern detection method for behavioral analysis of zebrafish larvae 一种用于斑马鱼幼虫行为分析的自动模式检测方法
Pub Date : 2016-03-21 DOI: 10.1109/SSD.2016.7473748
Q. Al-Jubouri, W. Al-Nuaimy, M. Al-Taee, J. L. Luna, L. Sneddon
Zebrafish has becomes a popular biological model for studies in pain, stress and welfare. However, automated assessment of nociceptive thresholds in larval zebrafish remains a challenge for biomedical researchers. This paper presents a new automatic pattern detection method for behavioral analysis of zebrafish larvae. The proposed method divides each arena in the test-bed mesh into an inner and outer zone with the aim of detecting patterns of fish behavior in the outer zones (also called thigmotaxis or wall hugging) that is considered one of the most common behavioral patterns studied in anxiety models. Three distinct groups of fish larvae are used as test subjects in this study. These groups are exposed to electric stimulation using different voltage levels. Poststimulation behaviors of the subjects under test are recorded using an infrared sensitive camera and analyzed. The obtained results demonstrated a noticeable change in the larval behavior in terms of the number of detected patterns in the outer zones of the arena cells. These findings confirm the validity of the proposed pattern detection method as a new metric to assess nociceptive thresholds for behavioral analysis of larvae.
斑马鱼已经成为研究疼痛、压力和福利的一种流行的生物模型。然而,自动评估幼体斑马鱼的伤害阈值仍然是生物医学研究人员面临的一个挑战。提出了一种新的斑马鱼幼虫行为自动模式检测方法。提出的方法将试验台网格中的每个区域划分为内部和外部区域,目的是检测外部区域(也称为thigmotaxis或wall hug)的鱼类行为模式,这被认为是焦虑模型中最常见的行为模式之一。在这项研究中,三组不同的鱼苗被用作测试对象。这些组暴露在不同电压水平的电刺激下。用红外敏感摄像机记录被试的刺激后行为并进行分析。所获得的结果表明,幼虫的行为在竞技场细胞的外区检测模式的数量方面有明显的变化。这些发现证实了模式检测方法作为评估幼虫行为分析伤害阈值的新指标的有效性。
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引用次数: 8
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2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)
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