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

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Depth Camera and Laser Sensors Plausibility Evaluation for Small Size Obstacle Detection 深度相机和激光传感器在小尺寸障碍物检测中的可行性评估
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429373
Mohammed S. Khesbak
Detecting small-size obstacle objects in an autonomous vehicle or robot driving is considered an important issue in collision avoidance especially in applications such as robot navigation or vehicle parking. In this paper, an effort is made to evaluate the distance detection fusion of a target away from two uncorrelated, different technology sensors. The Robot Operating System framework is used to manage data collection between the two sensors and the python software engine. The negative behavior of the single-pixel distance detection of the depth camera was concluded according to the measurement tests creating a plausibility problem for the obstacle detection process as a fused sensor. A solution is also proposed in this paper to overcome this problem using center pixel averaging. The plausibility check algorithm was successfully proposed and tested practically detecting the implausible distance measurements.
在自动驾驶汽车或机器人驾驶中检测小型障碍物被认为是避免碰撞的重要问题,特别是在机器人导航或车辆停车等应用中。本文对两个不相关的、不同技术的传感器对目标的距离检测融合进行了研究。机器人操作系统框架用于管理两个传感器之间的数据收集和python软件引擎。根据测量试验得出了深度相机单像素距离检测的负面行为,这给作为融合传感器的障碍物检测过程带来了可信性问题。本文还提出了一种利用中心像素平均的方法来克服这一问题。成功地提出了可信性检验算法,并进行了实际检验。
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引用次数: 3
Sliding Mode Control of an Inductive Power Transmission System with Maximum Efficiency 最大效率感应电力传输系统的滑模控制
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429436
Abdallah Adawy, Ghada Bouattour, M. Ibbini, N. Derbel, O. Kanoun
Sliding mode control (SMC) is used to regulate the output power of an inductive power transfer (IPT) system with maximum efficiency tracking. Load variations and misalignment are the main factors that affect the output power and efficiency of the system. For that, SMC is used on the transmitter side to track the minimum input current in order to realize the maximum efficiency by regulating the duty cycle of the DC-DC boost converter connected to the power supply. However, SMC is used to access the desired output voltage by controlling the DC-DC boost converter connected to the load on the receiving side. Different control techniques that the SMC proposes are exploited on the sending and receiving side to achieve the desired output. SMC is also compared with the PI control technique. It introduces more efficiency and output power with variable load and coupling factor. Simulation results illustrate that the desired output voltage is achieved with different loads and different input voltages with 76% system efficiency. Moreover, the maximum efficiency has been achieved when the coupling factor is 0.7, while the maximum input power is achieved when the coupling factor is 0.1.
滑模控制(SMC)用于调节感应功率传输(IPT)系统的输出功率,以实现最大效率跟踪。负载的变化和不对中是影响系统输出功率和效率的主要因素。为此,发射机侧采用SMC跟踪最小输入电流,通过调节与电源相连的DC-DC升压变换器的占空比来实现最大效率。然而,SMC通过控制连接到接收端负载的DC-DC升压转换器来获得所需的输出电压。在发送端和接收端利用SMC提出的不同控制技术来实现期望的输出。并与PI控制技术进行了比较。可变负载和耦合系数提高了效率和输出功率。仿真结果表明,在不同负载和不同输入电压条件下均能获得理想的输出电压,系统效率达到76%。耦合系数为0.7时效率最大,耦合系数为0.1时输入功率最大。
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引用次数: 6
A Comprehensive Analysis of Energy Dissipation in LEACH Protocol for Wireless Sensor Networks 无线传感器网络LEACH协议能量损耗的综合分析
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429527
Hajer Faris Fadhel, M. K. Mahmood, Osama Al-Omari
Wireless Sensor Networks (WSNs) are deployed over a specific area to monitor a range of environmental and physical phenomena. WSNs are known by their limitation in term of energy, memory, and computing capability. Therefore, these sensors need effective wireless communication protocols in terms of energy efficiency, ease of deployment, and low latency. LEACH is the principle routing algorithm adopted today for WSN data transmission. It is the origin of a variety of self-organizing clustering-based routing protocol. Data communication is the main source of energy losses beside but to a lesser extent data processing. The actual research is a step by step follow of LEACH focusing into the energy dissipation in various stages. The simulation of the protocol is accomplished through a MATLAB implementation to clarify the dissipation process. Nodes die after the residual energy has reached a minimum allowed threshold necessary for sensor functionality as part of the WSN. LEACH shows good performances but requires improvement in the cluster head selection stage by the use optimization techniques.
无线传感器网络(wsn)部署在特定区域以监测一系列环境和物理现象。无线传感器网络在能量、内存和计算能力方面的局限性是众所周知的。因此,这些传感器在能效、易于部署和低延迟方面需要有效的无线通信协议。LEACH是目前无线传感器网络数据传输采用的主要路由算法。它是各种基于自组织集群的路由协议的起源。数据通信是能量损耗的主要来源,其次是数据处理。实际的研究是逐级跟踪LEACH,关注各个阶段的能量耗散。通过MATLAB实现对协议进行了仿真,阐明了协议的耗散过程。在剩余能量达到作为WSN一部分的传感器功能所需的最小允许阈值后,节点死亡。LEACH具有良好的性能,但在簇头选择阶段需要使用优化技术进行改进。
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引用次数: 3
CNN model applied on SNP protein sequences for intestinal cancer early detection 应用CNN模型对SNP蛋白序列进行肠癌早期检测
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429415
Saifeddine Ben Nasr, Imen Messaoudi, A. Oueslati, Z. Lachiri
One of the sharply increasing incidence rate diseases, is the intestinal cancer. Detecting and identifying this disease is very difficult since it is a type of internal cancer that may not cause symptoms. Early detection of bowel cancer saves effort, minimizes diagnostic time, and helps target the best treatment to increase the cure rate. Many deep learning systems are being produced to help physicians diagnose bowel cancer early. These systems use several types of data such as histopathological images. In this article, we propose a new method of classifying intestinal cancer readings and non-pathological lesions. This method is based on the use of a deep learning network CNN (convolutional neural network). As training data, we use the SNP protein sequences of APC gene which is located at q22.2 on the human chromosome 5. SNP sequences are transformed from textual form to scalogram images then presented on different color spaces to create three databases. In order to evaluate this technique, we use quantitative measures such as: accuracy, sensitivity, specificity and precision. The obtained values are respectively 96.19%, 97.42%, 85.46% and 98.32%. These results show the performance of the proposed method and confirm the relationship between small protein changes at the SNP level of APC gene and intestinal cancer.
发病率急剧上升的疾病之一是肠癌。由于这种疾病是一种可能没有症状的内部癌症,因此检测和诊断非常困难。肠癌的早期发现节省了工作量,最大限度地减少了诊断时间,并有助于确定最佳治疗方案以提高治愈率。许多深度学习系统正在开发中,以帮助医生早期诊断肠癌。这些系统使用几种类型的数据,如组织病理学图像。在本文中,我们提出了一种新的方法来分类肠癌读数和非病理性病变。这种方法是基于使用一个深度学习网络CNN(卷积神经网络)。我们使用位于人类5号染色体q22.2的APC基因的SNP蛋白序列作为训练数据。将SNP序列从文本形式转换为尺度图图像,然后在不同的颜色空间中呈现以创建三个数据库。为了评价该技术,我们采用了定量指标,如:准确性、敏感性、特异性和精密度。分别为96.19%、97.42%、85.46%和98.32%。这些结果表明了所提方法的有效性,也证实了APC基因SNP水平小蛋白变化与肠癌之间的关系。
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引用次数: 3
A generic model for the simulation of the thermal and energetic behaviour of technical systems 用于模拟技术系统的热和能量行为的通用模型
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429492
Sophie Gedicke, O. Welz, J. Hofbauer, Mathias Rudolph
Establishing and controlling of smart decentralized grids represents a challenging task for future modern energy networks. Therefore, it is necessary to examine fundamental system behavior. One promising way to address this topic is to model technical systems consisting of energy producer, -storage and – consumer in a decentralized network. The following approach presents a generic model for the computer-aided simulation of thermal and energetic behavior of technical systems.
分布式智能电网的建立和控制是未来现代能源网络的一项具有挑战性的任务。因此,有必要研究系统的基本行为。解决这个问题的一个有希望的方法是在一个分散的网络中对由能源生产者、储存者和消费者组成的技术系统进行建模。下面的方法提出了一个通用模型,用于计算机辅助模拟技术系统的热行为和能量行为。
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引用次数: 0
Speech encryption based on synchronisation of chaotic Takagi-Sugeno systems using PI observer 基于PI观测器的混沌Takagi-Sugeno系统同步语音加密
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429324
Ahcene Hamoudi, N. Djeghali, M. Bettayeb
This paper presents a synchronisation method of nonlinear chaotic systems using Takagi-Sugeno representation with unmeasurable premise variables. An extended PI observer with unknown input is designed to achieve the synchronisation objective. The proposed PI observer estimates both the states and the unknown input. The convergence of the PI observer is established in an LMI formulation framework. An application to speech encryption and decryption is performed to illustrate the efficiency of the proposed approach.
提出了一种基于前提变量不可测的Takagi-Sugeno表示的非线性混沌系统同步方法。设计了一个具有未知输入的扩展PI观测器来实现同步目标。所提出的PI观测器估计状态和未知输入。在LMI公式框架中建立了PI观测器的收敛性。通过对语音加密和解密的应用,验证了该方法的有效性。
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引用次数: 1
Hysteresis Current Control & MPPT Approach Applied to a Grid — Connected Solar PV System 并网太阳能光伏系统的磁滞电流控制及MPPT方法
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429337
Faouzi Tlili, F. Bacha
This paper discusses two control strategies applied to a grid-connected solar PV system. Taking into account that the proposed conversion chain consists of a photovoltaic generator, an adaptation stage composed of a boost dc/dc converter associated in series with a three phase dc/ac converter and the grid. In particular, the maximum power point tracking (MPPT) approach based on P&O is devoted to the boost converter. However, the hysteresis current control is dedicated to the three phase dc/ac converter. Consequently, so as to achieve a feasibility of these two techniques, the author resorted to the Matlab/Simulink environment to carried out the necessary simulations. In other hand, the experimental results have been carried out with help a Dspace card accompanied with the conversion chain, PV module and the grid.
本文讨论了太阳能光伏并网系统的两种控制策略。考虑到所提出的转换链由光伏发电机、升压dc/dc变换器与三相dc/ac变换器串联组成的适应阶段和电网组成。特别针对升压变换器,提出了基于P&O的最大功率点跟踪(MPPT)方法。然而,滞后电流控制是专用于三相dc/ac变换器的。因此,为了实现这两种技术的可行性,笔者借助Matlab/Simulink环境进行了必要的仿真。另一方面,借助带有转换链、光伏组件和电网的Dspace卡进行了实验结果。
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引用次数: 0
An efficient Real Time Implementation of Motion Estimation in Video Sequences on SOC 基于SOC的视频序列运动估计的高效实时实现
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429329
A. Ammar, Hana Ben Fredj, C. Souani
Motion estimation is considered among the most famous and important applications in the field of computer vision. Indeed, in the last decade, the optical flow has become an alternative technique to estimate motion on successive frames. However, dense and precise estimates of the optical flow are usually costly in computing time. In this context, our approach is focused upon calculating the moving object's optical flow through the use of the Lucas-Kanade algorithm in real time which is implemented into Raspberry Pi 4. The efficiency of our real time implementation is demonstrated by the experimental results, hence showing better performances in comparison with the conventional calculation.
运动估计被认为是计算机视觉领域最著名和最重要的应用之一。事实上,在过去的十年中,光流已经成为一种估计连续帧上运动的替代技术。然而,密集和精确的估计光流通常是昂贵的计算时间。在这种情况下,我们的方法侧重于通过使用Lucas-Kanade算法实时计算移动物体的光流,该算法已在树莓派4中实现。实验结果证明了我们实时实现的有效性,与传统计算相比,显示出更好的性能。
{"title":"An efficient Real Time Implementation of Motion Estimation in Video Sequences on SOC","authors":"A. Ammar, Hana Ben Fredj, C. Souani","doi":"10.1109/SSD52085.2021.9429329","DOIUrl":"https://doi.org/10.1109/SSD52085.2021.9429329","url":null,"abstract":"Motion estimation is considered among the most famous and important applications in the field of computer vision. Indeed, in the last decade, the optical flow has become an alternative technique to estimate motion on successive frames. However, dense and precise estimates of the optical flow are usually costly in computing time. In this context, our approach is focused upon calculating the moving object's optical flow through the use of the Lucas-Kanade algorithm in real time which is implemented into Raspberry Pi 4. The efficiency of our real time implementation is demonstrated by the experimental results, hence showing better performances in comparison with the conventional calculation.","PeriodicalId":6799,"journal":{"name":"2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"21 1","pages":"1032-1037"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88349445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Robust Polynomial Observers For Positive Polynomial Fuzzy Systems 正多项式模糊系统的鲁棒多项式观测器
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429314
Imen Iben Ammar, H. Gassara, A. Hajjaji, M. Chaabane
A novel approach is proposed to design a robust observer for a class of positive polynomial fuzzy models. To study the considered analysis and design problems, a line-integral polynomial fuzzy Lyapunov function with polynomial terms depending of the estimated states is proposed. The proposed design conditions of the positive polynomial fuzzy controllers guaranteeing both the stability and the non negativeness of the estimated states, are solved using Sum of Squares(SOS) approach. Finally, simulations examples are given to show the effectiveness of the proposed approach.
针对一类正多项式模糊模型,提出了一种设计鲁棒观测器的新方法。为了研究所考虑的分析和设计问题,提出了一种多项式项依赖于估计状态的线积分多项式模糊李雅普诺夫函数。利用平方和(SOS)方法求解了保证系统稳定性和估计状态非负性的正多项式模糊控制器的设计条件。最后,通过仿真实例验证了该方法的有效性。
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引用次数: 1
Further Analysis of the Passive Walking Gaits of the Compass Biped Robot: Bifurcations and Chaos 罗盘双足机器人被动行走步态的进一步分析:分岔与混沌
Pub Date : 2021-03-22 DOI: 10.1109/SSD52085.2021.9429490
Essia Added, H. Gritli, S. Belghith
In this paper, we are interested in the analysis of the passive walking gaits of the compass-type bipedal robot while descending sloped surfaces. This type of biped robot is a two-degree-freedom mechanical system characterized by an impulsive hybrid dynamics that brings out attractive nonlinear phenomena like chaos and different types of bifurcations. In this work, we investigate by means of bifurcation diagrams, the influence of certain parameters on the passive motion of bipedal robot. As a result, we show the exhibition of new complex walking behaviors emerged from different types of bifurcations such as the period-doubling bifurcation and the Neimark-Sacker bifurcation, and also emerged via the period-remerging scenario. These results further confirm the complexity of the biped/human walk.
本文对罗盘型双足机器人下坡时的被动行走步态进行了研究。这类双足机器人是一种以脉冲混合动力学为特征的两自由度机械系统,产生了混沌和不同类型的分岔等非线性现象。本文利用分岔图的方法研究了某些参数对双足机器人被动运动的影响。结果表明,在不同类型的分岔中出现了新的复杂行走行为,如周期加倍分岔和neimmark - sacker分岔,也出现在周期重新出现的场景中。这些结果进一步证实了两足/人类行走的复杂性。
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引用次数: 4
期刊
2021 18th International Multi-Conference on Systems, Signals & Devices (SSD)
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