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

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Modeling of a Metamaterial Biosensor Based on Split Ring Resonators for Cancer Cells Detection 基于分裂环谐振器的超材料生物传感器的癌细胞检测建模
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429326
A. Oueslati, Aymen Hlali, H. Zairi
In this paper, a novel design of a biosensor based on Split-Ring Resonator (SRR) is developed for cancer cells detection in the L/C frequency bands (1–8 GHz). A comparative investigation of classic and proposed structures has been developed to demonstrate the effectiveness of the proposed structure. The simulation results show that the proposed structure achieves narrow resonance with low insertion loss, while the Q-factor increases from 1.96 to 2.47.
本文设计了一种基于分裂环谐振器(SRR)的生物传感器,用于L/C频段(1-8 GHz)的癌细胞检测。对经典结构和建议结构进行了比较研究,以证明建议结构的有效性。仿真结果表明,该结构实现了窄共振,插入损耗低,q因子由1.96提高到2.47。
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引用次数: 2
Trapping/detrapping induced negative differential resistance in Cu/Ni:ZnO/InGa Schottky diode Cu/Ni:ZnO/InGa肖特基二极管的捕获/去捕获诱导负差分电阻
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429423
N. Hamdaoui, F. B. Amor, A. Mezni, R. Ajjel
A Schottky diode based Cu/Ni:ZnO/InGa structure has been fabricated. The electrical characterization have highlighted the presence of negative differential resistance (NDR) effect and negative photoconductivity (NPC) in one device and at room temperature. The NDR effect can be explained in terms of trappings and detrapping of the mobile charges at the interface Cu/ Ni:ZnO. The main cause of the NPC effect is a combination between carriers injection by the external field and photocarriers due to UV illumination. As a result, these two features (NDR and NPC) lead to the optical switching effect in our device.
制备了一种基于Cu/Ni:ZnO/InGa结构的肖特基二极管。电学表征强调了负差分电阻(NDR)效应和负光电导率(NPC)在一个器件和室温下的存在。NDR效应可以用Cu/ Ni:ZnO界面上移动电荷的诱捕和脱陷来解释。NPC效应的主要原因是外场注入的载流子与紫外光照射下的光载流子的结合。因此,这两个特性(NDR和NPC)导致了我们器件中的光交换效应。
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引用次数: 0
Hybrid Energy Storage Review for Renewable Energy System Technologies and Applications 可再生能源系统混合储能技术与应用综述
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429424
Ahmed Samawi Alkafaji, Ali Abed aljabar Al-Samawi, H. Trabelsi
To illustrate the importance of renewable energy generation around the world. Renewable technology contributes to a remarkable amount of electricity to the grid. Renewable energy sources are the prime-movers of the microgrid. A microgrid is a small, parallel network of distributed generation (DG) power systems. In this paper, the hybrid energy sources resulting from nature and how to obtain the electrical energy from them, directly or indirectly, will be described, and the challenges facing hybrid power systems, in addition, the most important of which are to build appropriate control systems for each application. Fast response and support it by two or more sustainable energy sources increase the reliability of power production combined with (HRES). This study comprehensively reviews ESS technologies types, ESS structures, classifications, and ESS merits and demerits in MG applications.
为了说明可再生能源发电在世界各地的重要性。可再生能源技术为电网提供了大量的电力。可再生能源是微电网的原动力。微电网是由分布式发电(DG)电力系统组成的小型并联网络。本文将介绍自然界产生的混合能源以及如何直接或间接地从中获取电能,以及混合电力系统面临的挑战,其中最重要的是为每种应用建立合适的控制系统。快速响应和两种或两种以上可持续能源的支持提高了电力生产与(HRES)相结合的可靠性。本文综合评述了ESS技术类型、结构、分类以及ESS在MG应用中的优缺点。
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引用次数: 4
Output voltage control of synchronous generator using Nelder –Mead algorithm based PI controller 基于Nelder -Mead算法的PI控制器对同步发电机输出电压进行控制
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429387
Fatiha Habbi, Nour El Houda Gabour, M. Bounekhla, E. Boudissa
In this paper, Nelder-Mead simplex algorithm (NMA) is proposed to tune the optimal parameters of a proportional integral (PI) controller for the output voltage regulation of synchronous generator through different loading conditions. The model of the SG is related to diverse loads in two ways. Firstly, each load is related separately and secondly the SG loads change through the operation in order to guarantee the robustness of controller for large load deviations. In addition, parameters of the PI controller are obtained by minimization of the quadratic output error between the reference voltage and the terminal voltage of the generator calculated from the adopted model at the same time. Simulation results obtained by MATLAB and Simulink are investigated for output voltage regulation of SG without any controller at first, then with PI controller. In order to evaluate the performance of the NMA-PI controller, the results are compared with the Hooke and Jeeves (H&J) method. The comparison shows that the NMA tuned PI controller has better control performances versus the (H&J) method.
本文采用Nelder-Mead单纯形算法(NMA)对比例积分(PI)控制器在不同负载条件下的最优参数进行整定,实现同步发电机输出电压的调节。SG的模型与不同荷载有两种关系。首先,每个负载是单独关联的,其次,SG负载随着运行而变化,以保证控制器对大负载偏差的鲁棒性。此外,PI控制器的参数是通过最小化参考电压与发电机终端电压之间的二次输出误差来获得的。首先利用MATLAB和Simulink对无控制器的SG输出电压调节进行了仿真研究,然后采用PI控制器对SG输出电压进行了调节。为了评价NMA-PI控制器的性能,将结果与Hooke and Jeeves (H&J)方法进行了比较。比较表明,NMA调谐PI控制器比(H&J)方法具有更好的控制性能。
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引用次数: 1
On Modeling Greenhouse Air-Temperature: an Experimental Validation 温室气温模型的实验验证
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429311
Imen Haj Hamad, A. Chouchaine, H. Bouzaouache
This work presents an improved procedure for directly predicting air temperature in agricultural greenhouses to provide a quantitative assessment of high or low temperatures. The used dynamic model deals with the heat transfer during four days inside a greenhouse in Tunisia focusing on the season, the location, the structure of the greenhouse and obviously the weather conditions: wind speed, outside temperature, solar radiation, relative humidity…The results are obtained by experimental validation. The used greenhouse model shows the effectiveness of the procedure which has been successfully implemented using the MATLAB /Simulink environment.
这项工作提出了一种改进的程序,用于直接预测农业温室的气温,以提供高温或低温的定量评估。利用动态模型对突尼斯某温室内4天的传热进行了分析,重点考虑了季节、位置、温室结构以及风速、室外温度、太阳辐射、相对湿度等气候条件。所使用的温室模型表明了该方法的有效性,并在MATLAB /Simulink环境下成功实现。
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引用次数: 1
Control of the Compass-Gait Walker Using an Enhanced Poincaré Map and via LMI-Based Optimization 基于增强poincarcarcars图和lmi优化的圆规步行器控制
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429439
Wafa Znegui, H. Gritli, S. Belghith
In this paper, we introduce a control approach using a quadratic polynomial expression of the controlled Poincaré Map to actively stabilize the passive walking motion of the two-degree-of-freedom compass-gait biped walker. The passive gait cycle of the bipedal walker is depicted for a given fixed point. The control of the passive gaits involves firstly the reconstruction of the nonlinear complex dynamics describing the passive bipedal walking into an amendable linear system around the period-1 limit cycle. It involves secondly the determination of the quadratic polynomial expression of the nonlinear controlled Poincaré Map, and finally the identification of its period-1 fixed point. Successively, to stabilize such fixed point, we develop the linearized Poincaré Map, which will be explored to design the feedback gain of the control law. The control problem is cast then into a convex optimization involving a linear matrix inequality (LMI) by maximizing the bound on the nonlinear term in the Poincaré map. Simulation outputs illustrate the efficiency of the adopted LMI-based optimization method in the control of the passive motion of the compass-gait walker.
本文介绍了一种利用被控poincar映射的二次多项式表达式来主动稳定二自由度罗盘步态双足步行器的被动行走运动的控制方法。描述了给定固定点下双足步行器的被动步态周期。被动步态的控制首先涉及到将描述被动双足行走的非线性复杂动力学重构成一个绕周期-1极限环的可修正线性系统。其次确定非线性控制庞卡罗映射的二次多项式表达式,最后确定其周期为1的不动点。接着,为了稳定该不动点,我们建立了线性化的poincar映射,并探讨了控制律反馈增益的设计。然后将控制问题转化为涉及线性矩阵不等式(LMI)的凸优化问题,通过最大化庞卡罗映射中非线性项的界。仿真结果表明,所采用的基于lmi的优化方法在罗盘步态步行器被动运动控制中的有效性。
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引用次数: 0
The Challenges in a Case of Protecting a Series Compensated Transmission Line 串联补偿输电线路保护案例中的挑战
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429356
Abosalah ElMehdi, Ali Ben-Ashour
The more common and economic way for increasing the power transfer capability of a transmission line is by installing capacitor banks that are connected in series with those lines. In such case, the transmission line is called a series compensated line. In general, all of electric components in AC power networks should have their own protection schemes, for instance the transmission lines are protected using the line current differential scheme or the communication aided distance scheme as a primary protection scheme, and in addition a conventional distance scheme (Modified impedance or Quadrilateral protective element) is used as a backup protection. So, installing capacitor banks in series with such lines will raise new challenges to the existent protection scheme of that line. This paper addresses these challenges when a series compensated transmission system needs to be protected from the AC faults or severed disturbances. Where, the most common challenges in series compensated transmission systems are: voltage inversion, current inversion, and sub-harmonic frequency oscillations. A chosen series compensated transmission system will be used as a model for performing this research study, and simulated results will be shown for this work. Finally, based on protection engineer point view the recommendations of the relay settings will be discussed to overcome most of these raised challenges in protecting the series compensated transmission system.
增加输电线路的电力传输能力的更常见和更经济的方法是安装与这些线路串联的电容器组。在这种情况下,传输线称为串联补偿线。一般情况下,交流电网中所有的电气元件都应该有自己的保护方案,例如对传输线采用线路电流差动方案或通信辅助距离方案作为主保护方案,并采用常规距离方案(修正阻抗或四边形保护元件)作为备用保护。因此,在该类线路上串联安装电容器组将对现有的该类线路的保护方案提出新的挑战。本文解决了串联补偿输电系统在交流故障或切断干扰时需要保护的问题。其中,串联补偿传输系统中最常见的挑战是:电压反转、电流反转和次谐波频率振荡。一个选定的串联补偿传输系统将被用作进行这项研究的模型,并将显示这项工作的模拟结果。最后,根据保护工程师的观点,讨论了继电器设置的建议,以克服在保护串联补偿传输系统中提出的大多数挑战。
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引用次数: 0
Hand Gesture Recognition Based on Force Myography Measurements using KNN Classifier 基于力肌图测量的KNN分类器手势识别
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429514
Malak Fora, B. B. Atitallah, K. Lweesy, O. Kanoun
Hand gesture recognition presents one of the most important aspects for human machine interface (HMI) development, and it has a wide spectrum of applications including sign language recognition for deaf and dumb people. Herein, force myography signals (FMG) are extracted using eight nanocomposite CNT/PDMS pressure sensors simultaneously. Data are collected from eight healthy volunteers for American sign language digits 0–9. Two sets of features are extracted, the first one is composed of mean, standard deviation and rms values for the raw FMG data for all 8 sensors individually. The second set is composed of the 2-norm of the raw FMG signal and three proportional features, where the FMG signals are studied with respect to the reference rest signal. Classification is performed using each of the seven individual features as well as the combination of features in each set. The combination of features in the second set gives better testing accuracy of 95%, 91.9% for $mathrm{k}=2, mathrm{k}=3$ using KNN classifier, respectively.
手势识别是人机界面(HMI)发展的一个重要方面,它具有广泛的应用范围,包括聋哑人的手语识别。本文采用8个纳米复合CNT/PDMS压力传感器同时提取力肌图信号。数据收集自8名健康志愿者的美国手语数字0-9。提取两组特征,第一组特征分别由所有8个传感器的原始FMG数据的平均值、标准差和均方根值组成。第二组由原始FMG信号的2范数和三个比例特征组成,其中FMG信号相对于参考rest信号进行研究。分类是使用七个单独的特征以及每个集合中的特征组合来执行的。使用KNN分类器,在$ mathm {k}=2、 mathm {k}=3$的情况下,第二组特征的组合得到了更好的测试准确率,分别为95%、91.9%。
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引用次数: 4
Comparative evaluation of the performance of a capacitive and a non-capacitive microbial fuel cell 电容性和非电容性微生物燃料电池性能的比较评价
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429481
Imologie Meshack Simeon, A. Imoize, R. Freitag
Electrode materials play a critical role in the performance of microbial fuel cells. This study investigates the contribution of capacitive bio-electrodes to sustainable power production in a single-chamber microbial fuel cell (MFC). The capacitive electrodes consisted of a stainless-steel wire mesh with an activated carbon layer, while the non-capacitive control electrodes were made of graphite felt with a wound current collector. The MFCs were constructed using a glass vessel with the anode completely buried in biologically active soil and the cathode placed above the soil to form a single chamber configuration. The performance of the MFCs was investigated using linear sweep voltammetry (LSV) and electrochemical impedance spectroscopy (EIS). The results showed that the performance of the capacitive MFC was three times better than that of the non-capacitive MFC. While there was no significant difference in the Ohmic resistances of the MFCs, there was a significant difference in charge transfer resistance and capacitance of the MFCs. The capacitive MFC had a double layer capacitance of $8.282 mu mathrm{F}$ in addition to the diffuse layer capacitance at the layer/metal interface of 2.012 F, while the non-capacitive MFC had a double layer capacitance of $5.034 mu mathrm{F}$ with no diffuse layer capacitance. The results show that the capacitive characteristics of both cathode and anode improve the performance of a single-chamber MFC.
电极材料对微生物燃料电池的性能起着至关重要的作用。本研究探讨了电容性生物电极对单室微生物燃料电池(MFC)可持续发电的贡献。电容电极由带有活性炭层的不锈钢丝网组成,而非电容控制电极由带有线圈集流器的石墨毡制成。mfc是用玻璃容器构建的,阳极完全埋在生物活性土壤中,阴极置于土壤上方,形成一个单一的腔室结构。采用线性扫描伏安法(LSV)和电化学阻抗谱法(EIS)研究了mfc的性能。结果表明,电容式MFC的性能是非电容式MFC的3倍。虽然mfc的欧姆电阻没有显著差异,但mfc的电荷转移电阻和电容有显著差异。电容式MFC的双层电容为$8.282 mu mathrm{F}$,层/金属界面处弥漫层电容为2.012 F;非电容式MFC的双层电容为$5.034 mu mathrm{F}$,无弥漫层电容。结果表明,阴极和阳极的电容特性提高了单室MFC的性能。
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引用次数: 2
MIC: Multi-view Image Classifier using Generative Adversarial Networks for Missing Data Imputation MIC:基于生成对抗网络的多视图图像分类器缺失数据输入
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429478
G. Aversano, M. Jarraya, Maher Marwani, I. Lahouli, S. Skhiri
In this paper, we propose a framework for image classification tasks, named MIC, that takes as input multi-view images, such as RGB-T images for surveillance purposes. We combine auto-encoder and generative adversarial network architectures to ensure the multi-view embedding in a common latent space. Then, the resulting features are fed to the classification stage. The proposed framework is able to, all at once, train the multi-view embedding model to find a shared latent representation for the different views, perform data imputation (generate the missing views) and ensure the classification task by predicting the labels. Experiments on the MNIST dataset with a panoply of classifiers and several missingness ratios show the effectiveness of our solution.
在本文中,我们提出了一个图像分类任务的框架,称为MIC,它以多视图图像作为输入,例如用于监视目的的RGB-T图像。我们将自编码器和生成对抗网络结构相结合,以确保在公共潜在空间中嵌入多视图。然后,将得到的特征输入到分类阶段。该框架能够同时训练多视图嵌入模型,为不同视图寻找共享的潜在表示,执行数据输入(生成缺失视图),并通过预测标签来确保分类任务。在MNIST数据集上的一系列分类器和几个缺失率的实验表明了我们的解决方案的有效性。
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引用次数: 2
期刊
2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)
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