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2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)最新文献

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Energy management system for a Stand-alone Wind/ Diesel/ BESS/ Fuel-cell Using Dynamic Programming 基于动态规划的独立风/柴油/ BESS/燃料电池能源管理系统
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429362
Mohamed-hamza Laraki, B. Brahmi, C. El‐Bayeh, M. Rahman
This paper deals with the optimal energy management system (EMS) in wind-based stand-alone microgrid. A new day-ahead integrated control based on dynamic programming (DP) is proposed to optimize the power flow and enhance the battery's lifetime. Defined constraints help to set system limits for safe operation. Finally, the economic model allow us to define the parameters of the system to be optimized. Simulation results using MATLAB/SIMULINK show the effectiveness of the proposed EMS.
本文研究了风力单机微电网的最优能量管理系统。提出了一种基于动态规划(DP)的日前综合控制方法,以优化潮流,提高电池寿命。定义约束有助于为安全操作设置系统限制。最后,经济模型允许我们定义要优化的系统的参数。利用MATLAB/SIMULINK进行的仿真结果表明了该方法的有效性。
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引用次数: 2
Tonic-Myoclonic Epileptic Seizure Classification based on Surface Electromyography 基于体表肌电图的强直-肌阵挛性癫痫发作分类
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429401
Achraf Djemal, D. Bouchaala, A. Fakhfakh, O. Kanoun
Epilepsy diagnosis is one of the critical subjects of research in health fields in recent years. The aim of this paper is to detect and classify two types of seizures: Tonic and myoclonic based on surface electromyography signals. Based on data from eight sEMG electrodes on the biceps brachii, flexor carpi ulnaris, gastrocnemius and quadriceps muscle. Several time domain features were investigated, including waveform length, mean absolute value, variance, mobility, complexity, kurtosis, skewness, simple square integral, integrated EMG, root mean square, average amplitude change, standard deviation and entropy. These features are used as inputs to the Artificial Neural Network (ANN) classifier to determine if a data segment corresponds to a seizure or not. Following the development of the ANN model, an evaluation performance in terms of accuracy is presented to validate the results, which reached an accuracy of 93.33%. The overall performance of the presented machine learning algorithm is sufficient for clinical implementation.
癫痫诊断是近年来卫生领域的重要研究课题之一。本文的目的是检测和分类两种类型的癫痫发作:强直性和肌阵挛基于表面肌电信号。基于肱二头肌、尺腕屈肌、腓肠肌和股四头肌的8个表面肌电电极的数据。研究了波形长度、平均绝对值、方差、迁移率、复杂度、峰度、偏度、简单平方积分、综合肌电信号、均方根、平均振幅变化、标准差和熵等时域特征。这些特征被用作人工神经网络(ANN)分类器的输入,以确定数据段是否对应于癫痫发作。在开发了人工神经网络模型之后,给出了准确率的评价性能来验证结果,准确率达到了93.33%。所提出的机器学习算法的整体性能足以用于临床实施。
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引用次数: 5
The impact of electrodes on the reduction of anisotropy in biological tissue 电极对降低生物组织各向异性的影响
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429393
Chaima Dhifallah, N. Hamdaoui, S. Ameur, R. Ajjel
The aim of the research is to find the most suitable electrode that can be used to estimate the electrical behavior of cells and biological tissue by measuring the aging of the fish and obtaining results according to physical analysis. For this purpose, the measurements were performed in the frequency range of 1 Hz to 7 MHz, where two areas of dispersion are indicated, $alpha$ dispersion at low frequency and $beta$ dispersion at high frequency. The result shows that the cylindrical electrode is more suitable for measurement because it solves the problem of fiber anisotropy. In addition, the needle electrode has higher resistance values compared to the other electrode.
研究的目的是通过测量鱼的老化,并根据物理分析得出结果,寻找最合适的电极,用于估计细胞和生物组织的电学行为。为此,测量在1 Hz至7 MHz的频率范围内进行,其中表示两个色散区域,$alpha$低频色散和$beta$高频色散。结果表明,圆柱电极解决了光纤各向异性的问题,更适合于测量。此外,针电极比其他电极具有更高的电阻值。
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引用次数: 0
Enhanced piezoelectric performance of lead free BCZT based flexible nanogenerator 提高无铅BCZT基柔性纳米发电机的压电性能
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429322
Sarra Missaoui, A. Bouhamed, Mohamed Hassan Khedri, H. Khemakhem, O. Kanoun
Piezoelectric nanogenerator are attracting a lot of attention due to environmental constraints and the ecological considerations of energy collection. A piezoelectric nanocomposite based on Ba0.85Ca0.15Zr0.1Ti0.9O3 (BCZT) nanoparticles and PDMS polymer with excellent output properties for the application of nanogenerators has been developed. The piezoelectric nanogenerator is smart device that offers these required qualities and properties and converts mechanical energy. Here PENG can generate an open circuit voltage of 10 V respectively under the effect of light finger tapping. It reaches an output power of $mathrm{P}=2.218 mumathrm{W}$ for a resistance $mathrm{R}=370 mathrm{k}Omega$ under shaker vibration. This generator is known by its simple and ordinary design as well its high performance after polarization. However, the polarization is long and unsafe. To avoid this problem, a homogeneous distribution of carbon nanotubes (CNTs) on the BCZT/PDMS matrix is the best solution to have self-polarized generator. In this study, piezoelectric nanocomposites were prepared using solution mixing method. A comparative study was performed to investigate the impact of CNTs on the performance of nanogenrators under external mechanical load. The nanogenerator with 15 wt.% BCZT doped with CNTs offers an outstanding output performance with an open circuit voltage of 15 V and an output power $mathrm{P}=5.68029 mumathrm{W}$ at a resistance load $mathrm{R}=350 mathrm{k}Omega$ using the shaker device.
由于环境约束和能量收集的生态考虑,压电纳米发电机引起了人们的广泛关注。研制了一种以Ba0.85Ca0.15Zr0.1Ti0.9O3 (BCZT)纳米粒子和PDMS聚合物为基础的输出性能优异的纳米复合材料。压电纳米发电机是一种智能设备,它提供了这些所需的质量和性能,并转换机械能。在这里,PENG可以在轻敲手指的作用下分别产生10v的开路电压。在激振器振动下,电阻$mathrm{R}=370 mathrm{k}Omega$的输出功率为$mathrm{P}=2.218 mumathrm{W}$。该发生器设计简单、普通,极化后性能优异。然而,两极分化是漫长而不安全的。为了避免这一问题,在BCZT/PDMS基体上均匀分布碳纳米管(CNTs)是实现自极化发生器的最佳方案。本研究采用溶液混合法制备了压电纳米复合材料。我们进行了一项比较研究,以研究CNTs对外部机械负载下纳米发电机性能的影响。15wt的纳米发电机。% BCZT doped with CNTs offers an outstanding output performance with an open circuit voltage of 15 V and an output power $mathrm{P}=5.68029 mumathrm{W}$ at a resistance load $mathrm{R}=350 mathrm{k}Omega$ using the shaker device.
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引用次数: 3
Three-Level NPC Shunt Active Filter Powered by a Hybrid Fuel-Cell/Battery DC Bus Voltage 由混合燃料电池/电池直流母线电压供电的三电平NPC并联有源滤波器
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429308
B. Bourouis, H. Djeghloud, H. Benalla
This paper concerns the application of a NPC three-level shunt active power filter for damping harmonic disturbances from a three-phase feeder. The main contribution of the article is the elaboration of an algorithm dedicated to manage the energy in the hybrid fuel cell/battery DC bus feeding the SAPF. Design of active and passive components is presented. The control circuit is based on the SRF algorithm for detecting the reference harmonic currents and on the phase-shifted carrier-based PWM technique for gating signals generation. Moreover, dimensioning of the SAPF input DC bus voltage and AC output current PI regulators are provided. The study is validated through computer simulations using MATLAB/Simulink. The checked THDs of the feeder voltage and current, power factor and current unbalance rate, demonstrate a satisfying improvement in the power quality of the feeder.
本文研究了NPC三电平并联有源电力滤波器在三相馈线谐波抑制中的应用。本文的主要贡献是阐述了一种算法,该算法专门用于管理混合燃料电池/电池直流母线馈送SAPF的能量。介绍了有源元件和无源元件的设计。控制电路采用SRF算法检测基准谐波电流,采用基于相移载波的PWM技术产生门控信号。此外,还提供了SAPF输入直流母线电压和交流输出电流PI稳压器的尺寸。利用MATLAB/Simulink进行了仿真验证。对馈线电压和电流、功率因数和电流不平衡率的检测结果表明,馈线的电能质量得到了令人满意的改善。
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引用次数: 1
Design of an IoT-Enabled Microgrid Architecture for a Partial Grid-Connected Mode 部分并网模式下支持物联网的微电网架构设计
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429408
Mahmoud Shaban, I. Dhaou
This paper proposes an architecture for the control of the microgrid using IoT connectivity. The control aims at connecting or disconnecting the residential houses to the main-grid based on the power generated by the distributed energy resources. The architecture has been verified using Proteus software, modeled, and simulated using Matlab/Simulink package. The results show that the control algorithm connects the highest load to the grid in a switching time of less than one second.
本文提出了一种利用物联网连接控制微电网的体系结构。控制的目的是根据分布式能源产生的电力将住宅与主电网连接或断开。利用Proteus软件对该体系结构进行了验证,并利用Matlab/Simulink软件包对其进行了建模和仿真。结果表明,该控制算法在不到1秒的切换时间内将最高负荷接入电网。
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引用次数: 1
Design of a Wireless Sensor Node based on MSP430FR5969 for Environment Monitoring Applications 基于MSP430FR5969的环境监测无线传感器节点设计
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429293
Mohammad Hossein Tarokh, Dhouha El Houssaini, C. Viehweger, O. Kanoun
Environment monitoring using Wireless Sensor Networks (WSNs) is considered as a challenging and demanding field, which enables to collect and process large amount of data related to the deployment environment. Thus, the performance of the monitoring system is dependent strongly of the hardware capability of the deployed nodes, as well as of the communication protocols and data transmission strategies. In this work, a new wireless sensor node is introduced. The node uses MSP430FR5969 microcontroller, which offers a high processing capability with reduced energy consumption and has a maximum operating frequency of 16 MHz. The node is compact in size with a dimension of dimensions $53times 33 mm^{2}$. The node consumes an average of 27.35 mA during transmission. Current consumption during the sleep and idle modes are 0.33 mA and 31 mA, respectively. An outdoor application is presented, where the node is equipped with a solar panel for energy harvesting. The battery voltage variation and the Received Signal Strength (RSSI) were continuously measured and evaluated.
使用无线传感器网络(WSNs)进行环境监测被认为是一个具有挑战性和高要求的领域,它能够收集和处理与部署环境相关的大量数据。因此,监控系统的性能在很大程度上取决于所部署节点的硬件能力,以及通信协议和数据传输策略。本文提出了一种新的无线传感器节点。该节点采用MSP430FR5969微控制器,具有较高的处理能力和较低的能耗,最大工作频率为16 MHz。节点在尺寸上是紧凑的,维度为53乘以33 mm^{2}$。节点在传输过程中的平均功耗为27.35 mA。睡眠和空闲模式的电流消耗分别为0.33 mA和31 mA。提出了一种室外应用,其中节点配备了太阳能电池板用于能量收集。连续测量和评估电池电压变化和接收信号强度(RSSI)。
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引用次数: 2
Comparative Study of Digital Filters for a Smart Glove Functionalized with Nanocomposite Strain Sensor 纳米复合应变传感器功能化智能手套数字滤波器的比较研究
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429298
B. B. Atitallah, J. R. Bautista-Quijano, Haythem Ayari, Ahmed Yahia Kallel, D. Bouchaala, N. Derbel, O. Kanoun
Nowadays, the demand for flexible and wearable measurement systems is significantly increasing. Thereby, sensors based on carbon nanotubes (CNT) materials are gaining importance due to their high flexibility, sensitivity and medical compatibility. Nanocomposite based strain sensors present an interesting potential of movements detection that helps to build the basis for body attached sensor networks, which have the capability for tracking finger movements, gestures and grasping. However, the output of the sensor is noisy and having outliers due to the random deformation of the CNT conductive paths during applied strain, which needs to be filtered. This paper presents S-TPU/C-TPU strain sensors attached to a glove for hand gesture recognition. A filtering study has been conducted of four digital filters for real-time processing of the recorded data (Moving average, Moving median, Savitzky-Golay, and Gaussian), which is required to improve the quality of the data for better gesture identification and classification. The filters are evaluated based on their real-time response and smoothing performance. The Savitzky-Golay filter was found to be the most suitable filter to remove the inherent noises and smooth the baseline and curves of the signal with a fast real-time response equal to 0.072s.
如今,对灵活、可穿戴的测量系统的需求正在显著增加。因此,基于碳纳米管(CNT)材料的传感器由于其高灵活性、灵敏度和医学兼容性而变得越来越重要。基于纳米复合材料的应变传感器呈现出一种有趣的运动检测潜力,有助于为身体附着传感器网络建立基础,该网络具有跟踪手指运动,手势和抓取的能力。然而,传感器的输出是有噪声的,并且由于CNT导电路径在施加应变期间的随机变形而具有异常值,需要对其进行滤波。本文介绍了一种附着在手套上的S-TPU/C-TPU应变传感器。对记录数据进行实时处理的四种数字滤波器(移动平均、移动中值、Savitzky-Golay和高斯)进行了滤波研究,以提高数据质量,更好地进行手势识别和分类。根据滤波器的实时响应和平滑性能对其进行评价。Savitzky-Golay滤波器是去除固有噪声、平滑信号基线和曲线的最合适的滤波器,具有0.072s的快速实时响应。
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引用次数: 5
An approach for an efficient sharing of IP as a Service in cloud FPGA 云FPGA中IP即服务的有效共享方法
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429338
Rym Skhiri, V. Fresse, J. Malek, Benoît Suffran, Jean-Paul Jamont
Using FPGAs in the cloud has rapidly and significantly increased over the last few years. FPGA devices can be either integrated to support the cloud infrastructure or used as a computing resources. FPGA are available as a computing resources for enabling the designers to accelerate their applications. Putting FPGA environment in the cloud called FPGA as a service, have proposed different services. These existing services cannot solve all challenges. In this paper, we propose a new service called Intellectual Property (IP) as a Service trying to resolve the unsolved challenges. This service will allow easily and Quickly exploit and share IP in the cloud.
在过去几年中,在云中使用fpga的情况迅速而显著地增加。FPGA设备既可以集成以支持云基础设施,也可以用作计算资源。FPGA可作为一种计算资源,使设计人员能够加速其应用程序。将FPGA环境放在云端称为FPGA即服务,提出了不同的服务。这些现有的服务不能解决所有的挑战。在本文中,我们提出了一种名为“知识产权即服务”(IP as a service)的新服务,试图解决尚未解决的挑战。这项服务将允许轻松快速地利用和共享云中的IP。
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引用次数: 0
Stability study and robustness analysis of an exoskeleton-upper limb system 外骨骼-上肢系统的稳定性研究和鲁棒性分析
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429352
Sana Bembli, N. K. Haddad, S. Belghith
This paper deals with a stability study and a robustness analysis of an exoskeleton- upper limb system, used for rehabilitation. The considered system is a robot with two degrees of freedom controlled by a Model Free Terminal Sliding Mode algorithm. The objective is to control the flexion/extension movement of the shoulder and the elbow in presence of uncertainties and disturbances. The dynamic model of the system was presented. An Input-to-State Stability study is realized to demonstrate the stability of the system. A robustness analysis using Monte Carlo method is developed. Simulation results are provided to prove the performances and the effectiveness of the Model Free Terminal Sliding mode algorithm and the stability of the system face to disturbances and uncertainties.
本文讨论了用于康复的外骨骼-上肢系统的稳定性研究和鲁棒性分析。所考虑的系统是一个由无模型终端滑模算法控制的二自由度机器人。目的是在不确定和干扰的情况下控制肩膀和肘关节的屈伸运动。建立了系统的动力学模型。为了证明系统的稳定性,实现了输入状态稳定性研究。采用蒙特卡罗方法进行鲁棒性分析。仿真结果证明了无模型终端滑模算法的性能和有效性,以及系统在面对干扰和不确定性时的稳定性。
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引用次数: 0
期刊
2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)
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