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

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High Order Statistics For Ventricular Ectopic Beats Detection 心室异位心跳检测的高阶统计量
Pub Date : 2018-11-01 DOI: 10.1109/ICASS.2018.8651975
Tarek Benarabi, M. Adnane, M. Mansour
Electrocardiogram (ECG) signals processing are vital tools to tracking the cardiac abnormalities, thus it is widely used in assessing and diagnosing the health of the heart. One of the most common cardiac arrhythmias which has been considered by clinicians is ventricular ectopic beats (VEBs), it include premature ventricular contraction (PVC) arrhythmia and others cases. The ECG analysis needs to continuous surveillance of the heartbeat record by cardiologist. To avoid this tedious task for clinicians, several automated diagnostic techniques have been developed in the last years. Most of them depend on the wavelet transform and/or Autoregressive model (AR model) and its various extractive features. In this paper, we are proposing a simple method for heartbeats classification, more precisely, for VEBs arrhythmia detection. It is based on two high order statistical measures (kurtosis, skewness), they are used to discriminate between normal beats (N) and abnormal beats (VEBs), and without the need of mathematical modeling (example: signal transformation such as wavelet, AR model). Obtained results are satisfactory and it proves the potential and efficiency to detect VEB arrhythmia using two high order statistical measures (HOS). Moreover, this method is a simple, fast and easy to implement in several platform for real time practice.
心电图信号处理是跟踪心脏异常的重要工具,在评估和诊断心脏健康方面有着广泛的应用。室性异位搏是临床上最常见的心律失常之一,它包括室性早搏(PVC)心律失常等。心电图分析需要心脏科医生对患者的心跳记录进行连续监测。为了避免临床医生进行这项繁琐的工作,近年来已经开发了几种自动诊断技术。它们大多依赖于小波变换和/或自回归模型(AR模型)及其各种提取特征。在本文中,我们提出了一种简单的心跳分类方法,更准确地说,用于veb心律失常检测。它基于两个高阶统计度量(峰度,偏度),它们用于区分正常节拍(N)和异常节拍(VEBs),并且不需要数学建模(例如:信号变换如小波,AR模型)。结果令人满意,证明了利用两种高阶统计测度(HOS)检测VEB型心律失常的潜力和有效性。该方法具有简单、快速、易于在多个平台上实时实现的特点。
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引用次数: 1
Security Improvement of the Enhanced 1-round Authentication Protocol for Wireless Body Area Networks 无线体域网络增强1轮认证协议的安全性改进
Pub Date : 2018-11-01 DOI: 10.1109/ICASS.2018.8652036
Sarah Izza, M. Benssalah, Rabah Ouchikh
Wireless Body Area Network (WBAN) has attracted a huge interest following the development of microelectronics, miniaturized sensors and the advancement of wireless communication. However, medical data are very sensitive and any modification or eavesdropping of the physiological data may affect the diagnosis or the privacy of the patient, so, the security in WBAN remains a big challenge. Therefore, it is important to ensure a secure mutual authentication between the network entities to protect the user’s information from being corrupted and to ensure the privacy of the patient. In this paper, first, we review the security of Li et al.’s authentication scheme which is the most recently proposed protocol in this field. Then, we propose an improved version to overcome flaws found in Li et al.’s scheme. The security and performance analysis show that the improved protocol presents better security features.
随着微电子技术的发展、传感器的小型化和无线通信技术的进步,无线体域网络(WBAN)引起了人们的极大兴趣。然而,由于医疗数据非常敏感,对生理数据的任何修改或窃听都可能影响患者的诊断或隐私,因此,无线宽带网络的安全性仍然是一个很大的挑战。因此,确保网络实体之间安全的相互认证,以保护用户信息不被破坏,并确保患者的隐私是非常重要的。本文首先对Li等人的认证方案的安全性进行了综述,Li等人的认证方案是该领域最新提出的协议。然后,我们提出了一个改进版本,以克服Li等人的方案中发现的缺陷。安全性和性能分析表明,改进后的协议具有更好的安全特性。
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引用次数: 6
A Fuzzy Logic MPPT Algorithm with a PI Controller for a Standalone PV System under Variable Weather and Load Conditions 一种带PI控制器的模糊逻辑MPPT算法用于变天气和负载条件下的独立光伏系统
Pub Date : 2018-11-01 DOI: 10.1109/ICASS.2018.8652047
Claude Bertin Nzoundja Fapi, P. Wira, M. Kamta
This article proposes a standalone application for operating a photovoltaic module at the Maximum Power Point (MPP) under variable weather conditions and using a Fuzzy Logic Control (FLC) Maximum Power Point Tracking (MPPT) algorithm to increase the efficiency and lower the costs. The DC-DC converter provides a constant output voltage whatever the weather conditions and variable load thanks to the PI controller by local compensation of the disturbances. This system has been analyzed and implemented under the Matlab/Simulink environment. Simulation results under different weather conditions were observed. The MPPT algorithm based on FLC gives a precision between 95.5% and 99.5%. The parameters of the PI controller are calculated by the Ziegler-Nichols method. From the simulation results, we can see that the control by the PI controller effectively solves the instability of the system voltage, keeping the DC-DC converter voltage steady despite the varying weather and load conditions.
本文提出了一个在可变天气条件下在最大功率点(MPP)运行光伏组件的独立应用,并使用模糊逻辑控制(FLC)最大功率点跟踪(MPPT)算法来提高效率和降低成本。该DC-DC变换器提供了一个恒定的输出电压,无论天气条件和可变负载多亏了PI控制器的局部补偿干扰。本系统在Matlab/Simulink环境下进行了分析和实现。观察了不同天气条件下的模拟结果。基于FLC的MPPT算法的精度在95.5% ~ 99.5%之间。采用齐格勒-尼科尔斯法计算PI控制器的参数。从仿真结果可以看出,PI控制器的控制有效地解决了系统电压的不稳定性,使DC-DC变换器电压在天气和负载条件变化的情况下保持稳定。
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引用次数: 15
Gas Turbine Monitoring using Fuzzy Control approaches: Comparison between Fuzzy Type 1 and 2 基于模糊控制的燃气轮机监测:模糊1型与模糊2型的比较
Pub Date : 2018-11-01 DOI: 10.1109/ICASS.2018.8652012
Hakim Bagua, Moulod Guemana, A. Hafaifa, A. Chaibet
In this paper a theoretical and practical comparative study is proposed, between types 1 and 2 fuzzy systems for the monitoring of a gas turbine process. Firstly, the type 1 and type 2 fuzzy sets are presented followed by the description of the two fuzzy systems, to understand the differences between there inference systems, then a theoretical comparative study is presented, and finally the contribution of this work in the practical part by the application of the two fuzzy control approaches type-1 and type-2 in a fuel valve positioning of a gas turbine process, the obtained results shows the advantage of the used time in fuzzy control type-2, which is a very important factor in industrial applications.
本文对一类和二类模糊系统在燃气轮机过程监测中的应用进行了理论和实践的比较研究。首先,提出了1型和2型模糊集两个模糊系统的描述,理解之间的差异有推理系统,然后提出了一种理论的比较研究,最后的贡献在实际工作应用程序的一部分的两种模糊控制方法1型和2型燃气轮机的燃料阀定位过程,结果显示了利用模糊控制2型的使用时间,这是工业应用中一个非常重要的因素。
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引用次数: 4
Evaluation of the self sufficiency of a home powered by a PV–Wind system 评估由光伏-风能系统供电的家庭的自给自足能力
Pub Date : 2018-11-01 DOI: 10.1109/ICASS.2018.8652064
Z. Smara, Ali Laldji, Ahmed Ferkous, M. Tali, A. Mahrane, R. Dizène
This article deals with the case of a house, located in the south Mediterranean coastal region powered by a hybrid photovoltaic wind power plant. The objective is to satisfy as much as possible the energy demand of this house by renewable electric energy. For the case considered adding to the on-grid 3.2kWp PV system with 12kWh backup a 1kW wind turbine improves the self-sufficiency rate of the house which reaches 81.83%, reduces the energy withdrawn from the grid by 40 %.
本文讨论了一个位于地中海南部沿海地区的住宅的案例,该住宅由混合光伏风力发电厂供电。我们的目标是通过可再生能源来尽可能地满足这座房子的能源需求。在考虑的案例中,在并网的3.2kWp光伏系统中增加一个12kWh备用的1kW风力涡轮机,提高了房屋的自给率,达到81.83%,减少了40%的从电网中撤回的能量。
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引用次数: 1
Virtual pheromone-based approach for objects searching in RFID-based cyber-physical robotic systems 基于虚拟信息素的rfid网络物理机器人系统目标搜索方法
Pub Date : 2018-11-01 DOI: 10.1109/ICASS.2018.8652034
A. Hentout, Allal Tiberkak, Abderraouf Maoudj, Lotfi Berkat, Abdelkrim Abeb
This paper describes the use of the Radio Frequency IDentification (RFID) technology to search for objects (products) by a set of Automated Guided Vehicles (AGV) evolving inside a 2D grid workspace cluttered with static obstacles (warehouse, etc For this aim, a number of RFID tags are deployed in order to be exploited by the robots carrying out their tasks. In addition, an interaction mechanism based on virtual pheromones to control the robots is described. Furthermore, a stigmergic search for objects of interest is presented; this indirect interaction mechanism is used to control the robots moving inside their workspace while spreading and reading pheromones. The simulation results show the effectiveness of the proposed approach and the minimization of the overall number of visited nodes.
本文描述了使用射频识别(RFID)技术,通过一组自动引导车辆(AGV)在一个二维网格工作空间中搜索物体(产品),该工作空间中堆满了静态障碍物(仓库等)。为此,部署了许多RFID标签,以便机器人利用它们执行任务。此外,还介绍了一种基于虚拟信息素的机器人控制交互机制。此外,对感兴趣的对象进行污名化搜索;这种间接交互机制用于控制机器人在其工作空间内移动,同时传播和读取信息素。仿真结果表明了所提方法的有效性和总体访问节点数量的最小化。
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引用次数: 2
Performance Evaluation of PMU using Modified Cooley-Tukey Algorithm Based on GDFT 基于GDFT的改进Cooley-Tukey算法PMU性能评价
Pub Date : 2018-11-01 DOI: 10.1109/ICASS.2018.8651967
M. Abbaci, M. O. Zmirli
In recent years, many blackouts around the world have had an effect on the reliability of voltage sources in power grids. This is due to two events, firstly the liberalization of electricity markets with an increase in cross-border flows, secondly, the increasing penetration rate of renewable sources such as wind turbines and photovoltaic cells. An important tool for improving the analysis and protection of the electricity grid is the technology of synchrophasor. The subject consists of improving the performance of synchrophasor for monitoring large electricity networks. In addition, it deals with the characteristics of a new phasor estimation algorithm. This paper presents a new phasor estimation method using the modified Cooley-Tukey Fast Fourier Transform (CTFFT) algorithm based on Generalized Discrete Fourier Transform (GDFT). To validate the proposed method, the obtained simulation results are compared with the Discrete Fourier Transform (DFT) estimation algorithm.
近年来,世界范围内的多次停电事故对电网电压源的可靠性产生了影响。这是由于两个事件,首先是电力市场的自由化,跨境流动增加,其次是风力涡轮机和光伏电池等可再生能源的渗透率增加。同步相量技术是提高电网分析和保护水平的重要工具。本课题包括改进同步相量的性能,用于监测大型电网。此外,还讨论了一种新的相量估计算法的特点。本文提出了一种基于广义离散傅里叶变换(GDFT)的改进Cooley-Tukey快速傅里叶变换(CTFFT)算法的相量估计新方法。为了验证所提出的方法,将仿真结果与离散傅立叶变换(DFT)估计算法进行了比较。
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引用次数: 0
Agent-based prognostic function for multicomponents system with stochastic dependence 随机依赖多组分系统的基于agent的预测函数
Pub Date : 2018-11-01 DOI: 10.1109/ICASS.2018.8652027
K. Benaggoune, H. Mouss, A. A. Abdessemed, M. Bensakhria
Prognostic and Health Management of multi-components systems is a challenging task, where different types of dependencies may exist. To tackle the complexity of such system, many distributed approaches are proposed. They deal with structural and functional dependencies and suppose that components are independent, which is not the case in reality. The transition of one component to more degraded states may affect other dependent components. In this paper we address the problem of prognosing components under stochastic dependence, we propose a prognostic based agent function in which a set of agents interact and coordinate to estimate the component remaining useful life with degradation interactions in a distributed manner. The simulation of an example taken from the literature is done on jade frame work, the results indicate that the precision of the component RUL is enhanced.
多组件系统的预后和健康管理是一项具有挑战性的任务,其中可能存在不同类型的依赖关系。为了解决这类系统的复杂性,提出了许多分布式方法。它们处理结构和功能依赖关系,并假设组件是独立的,但实际上并非如此。一个组件向降级状态的转换可能会影响其他依赖的组件。在本文中,我们解决了随机依赖下预测组件的问题,我们提出了一种基于预测的代理函数,其中一组代理相互作用并协调以分布式方式估计具有退化相互作用的组件的剩余使用寿命。以玉器框架为例进行了仿真,结果表明,构件规则推理的精度得到了提高。
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引用次数: 2
EPBT and CO2 emission from solar PV monocrystaline silicon EPBT与太阳能光伏单晶硅的CO2排放
Pub Date : 2018-11-01 DOI: 10.1109/ICASS.2018.8652055
M. Deriche, Ahmed Hafaifab, Kamel Mohammedia
Solar photovoltaic technology produced electricity by conversion of solar radiation, it is the raison why this technology is friendly to the environment, in the daytime solar PV technology does not consume fossil energy that produces CO2 emissions, but it consumes energy in the phase of extraction of the raw material, manufacturing, transportation and installation...etc. this paper aims to investigate the energy requirement (consumption) of PV modules and Balance of the systems (BOS) and calculated the energy pay-back time and CO2 emission profit of monocrystalline photovoltaic system.
太阳能光伏发电技术通过太阳辐射的转换来发电,这就是为什么这项技术对环境友好的原因,在白天太阳能光伏发电技术不消耗产生二氧化碳排放的化石能源,但它在原材料的提取,制造,运输和安装等阶段消耗能源。本文旨在研究光伏组件的能量需求(消耗)和系统的平衡(BOS),并计算单晶光伏系统的能量回收期和CO2排放利润。
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引用次数: 2
Tuning gain of PI controller based on Meta-heuristic techniques 基于元启发式技术的PI控制器增益整定
Pub Date : 2018-11-01 DOI: 10.1109/ICASS.2018.8651989
H. Fethia, Tlemçani Abdelhalim, Abbadi Amel, M. Ahmed, B. M. Seghir
The absence of a deterministic algorithm able to solve, in an optimal way and in a reasonable calculation time, combinatorial optimization problems, is the reason to move towards approximate algorithms of research called metaheuristics. This paper discusses the application of DTC on PM synchronous motor in closed loop and presents a comparative study between classical and meta-heuristic algorithms to tune the Proportional Integrator rotor speed gain, in order to resolve problems associated with conventional Proportional Integrator speed controller which is often characterized by an overshoot during start up. Complete simulation model for direct torque control of PMSMincorporating the proposed speed controller is developed in Matlab/Simulink software. Its simulated performances are then compared to those of a classical Proportional Integrator controller
由于缺乏一种确定性算法能够以最优的方式在合理的计算时间内解决组合优化问题,因此人们转向了被称为元启发式的近似算法研究。本文讨论了直接转矩控制在永磁同步电机闭环控制中的应用,并对比例积分器转子转速增益的经典算法和元启发式算法进行了比较研究,以解决传统比例积分器转速控制器在启动过程中经常出现超调的问题。在Matlab/Simulink软件中建立了包含该速度控制器的永磁同步电动机直接转矩控制的完整仿真模型。然后将其模拟性能与经典比例积分器控制器进行了比较
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引用次数: 1
期刊
2018 International Conference on Applied Smart Systems (ICASS)
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