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2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)最新文献

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Optimized Incremental Cooperative Communication for Underwater Acoustic Sensor Networks 水声传感器网络的优化增量协同通信
Veerapu Goutham, V. P. Harigovindan
In this article, we present incremental cooperative communication (ICC) for underwater acoustic sensor networks (UANs). This method uses adjacent active sensor nodes during the retransmission of DPs. Subsequently, a mathematical model to calculate the energy efficiency (EE) for ICC in UANs by examining the influences of distance-dependent usable bandwidth, ambient noises, and acoustic spreading is presented. Numerical and simulation results show that ICC significantly improves EE compared to the existing techniques over considerable distances between transceiving nodes. We later frame an optimization problem to optimize transmission power and packet size to improve EE over transmission distance further. The results confirm that the optimized can further increase the EE of UANs.
在本文中,我们提出了用于水声传感器网络(UANs)的增量协同通信(ICC)。该方法在DPs重传过程中使用相邻的主动传感器节点。随后,通过研究距离相关可用带宽、环境噪声和声传播的影响,提出了一个计算UANs中ICC能量效率(EE)的数学模型。数值和仿真结果表明,在收发节点之间相当长的距离上,与现有技术相比,ICC显着提高了EE。我们随后构建了一个优化问题来优化传输功率和数据包大小,以进一步提高传输距离上的EE。结果表明,该优化方案可进一步提高无线局域网的EE。
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引用次数: 0
A Hybrid Voltage Regulation Strategy for an AC Microgrid Integrated to LV Distribution Network 交流微电网与低压配电网的混合调压策略
Souvik Das, Bhim Singh
In the current scenario of larger than ever penetration of renewable energy sources (RESs) in weak distribution networks, the individual power producers are required to participate in the grid voltage support functions. In this context, a hybrid voltage regulation strategy based on a normalized maximum Versoria criterion (NMVC) is developed in this paper. It involves coordinated control operation of the microgrid power sources using power converters. The microgrid consists of a doubly fed induction generator (DFIG) based wind power source, solar photovoltaic (SPV) source and battery energy storage (BES). The microgrid connected to low voltage (LV) weak distribution network with significant line resistances, results in abrupt rise in voltages during peak power production. This strategy utilizes BES for voltage support through its active power control (APC), primary operating mode. To protect BES from overcharging, a hybridization to primary operating mode is introduced, involving grid voltage support through reactive power control (RPC), secondary operating mode. The validation of the presented NMVC based voltage regulation strategy is performed through simulations.
当前,可再生能源在薄弱配电网中的渗透比以往任何时候都要大,个别电力生产商被要求参与电网电压支持功能。在此背景下,本文提出了一种基于归一化最大Versoria准则(NMVC)的混合电压调节策略。它涉及到利用电源变换器对微电网电源进行协调控制运行。微电网由双馈感应发电机(DFIG)风力电源、太阳能光伏(SPV)电源和电池储能(BES)组成。微电网与线路电阻较大的低压弱电配电网相连接,会导致峰值发电时电压突然上升。该策略利用BES通过其有功功率控制(APC)(主要工作模式)来支持电压。为了防止BES过度充电,引入了一次工作模式的混合,包括通过无功功率控制(RPC)和二次工作模式来支持电网电压。通过仿真验证了基于NMVC的电压调节策略的有效性。
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引用次数: 0
Object-Based Glacier Surface Change Detection using Multispectral Satellite Data 基于多光谱卫星数据的冰川表面变化检测
Shikha Sharda, Mohit Srivastava
Due to change in global temperature, glaciers all over the Himalayan region including the Karakoram range have been retreating and many small glaciers have already disappeared. Therefore, it is the prime most need to acquire precise information on glacier changes. This study presents an object-based approach that utilizes the Maps to detect the change detection in glacier ice/snow coverage from the temporal signatures of multispectral satellite imageries of Landsat 4–5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper (ETM+), and Landsat 8 Operational Land Image/ Thermal Infrared Sensor (OLI-TIRS) from year 1997 to 2018. It is observed that the glacier ice/snow cover area is increased by 25.17% during 20 years period. This research is the first attempt to study the glacier ice cover change in the Karakoram range using a semi-automatic object-based approach.
由于全球气温的变化,包括喀喇昆仑山脉在内的整个喜马拉雅地区的冰川都在退缩,许多小冰川已经消失。因此,获取精确的冰川变化信息是当务之急。本研究提出了一种基于对象的方法,利用1997 - 2018年Landsat 4-5专题成像仪(TM)、Landsat 7增强型专题成像仪(ETM+)和Landsat 8业务陆地图像/热红外传感器(OLI-TIRS)的多光谱卫星图像的时间特征,利用地图检测冰川冰雪覆盖的变化。结果表明,20 a期间冰川冰雪覆盖面积增加了25.17%。本研究是首次尝试使用基于半自动对象的方法研究喀喇昆仑山脉冰川覆盖变化。
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引用次数: 1
Design of Normal Mode Circularly Polarized Helical Antenna at 5.3 GHz 5.3 GHz正模圆极化螺旋天线设计
A. Pandey, S. K. Pathak
In this paper, a normal mode circularly polarized helical antenna is made of glass without using any type of external impedance matching circuit. The proposed helical antenna is realized by replacing the metallic wire of conventional helical antenna by glass with relative permittivity (εr = 6). The circular polarization is accomplished by optimizing the parameter of glass based helical antenna using CST Microwave Studio. The simulated result shows that the proposed antenna has an input impedance bandwidth (|S11|<-10 dB) from 4.78 GHz to 6.21 GHz which gives a fractional bandwidth of 26%. Also, the band of frequency in which axial ratio is below 3 dB ranges from 5.23 GHz to 5.64 GHz.
本文采用玻璃材料制作了一种法模圆极化螺旋天线,不使用任何类型的外部阻抗匹配电路。该螺旋天线采用相对介电常数εr = 6的玻璃代替传统螺旋天线的金属导线,利用CST Microwave Studio对玻璃基螺旋天线的参数进行优化,实现圆极化。仿真结果表明,该天线的输入阻抗带宽(|S11|<-10 dB)范围为4.78 GHz ~ 6.21 GHz,分数带宽为26%。轴比小于3db的频段范围为5.23 GHz ~ 5.64 GHz。
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引用次数: 0
Design of Miniaturized Wideband Microwave Front End Using Novel Implementation Techniques 基于新型实现技术的小型化宽带微波前端设计
Deepankar Roy, Jayeeta Sinha, A. R. Choudhury, R. R. Menon
The paper presents Microwave front end system architectural design and realization at C-band operating over a wide frequency range of 5.8 GHz to 7.0 GHz. The front end is an integral part of any receiving system. A modular based LNA design, compact planar filter with transmission zeros, wideband mixer with low power LO drive, simple sequential bias circuit with minimum variables to adjust bias, lumped filter for image rejection of 60 dB are the highlights of the front end. The paper focuses on the individual design aspects and features of the circuits, implementations with qualification processes to meet the space quality assurance. The end to end performance of the system at ambient and over temperature extremes is presented. This C-Band front end is assembled with the rest of the receiver to be used for different GEO missions for telecommand purpose.
本文介绍了c波段微波前端系统的结构设计与实现,工作频率范围为5.8 GHz ~ 7.0 GHz。前端是任何接收系统的一个组成部分。前端的亮点是基于模块化的LNA设计,具有传输零的紧凑平面滤波器,具有低功耗LO驱动的宽带混频器,具有最小变量调节偏置的简单顺序偏置电路,60 dB的图像抑制集总滤波器。本文重点介绍了电路的个别设计方面和特点,实现了满足空间质量保证的认证过程。给出了系统在极端环境和极端温度下的端到端性能。这个c波段前端与接收机的其余部分组装在一起,用于不同的地球同步轨道任务,用于远程指挥目的。
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引用次数: 0
Control of Battery Supported Pico Hydro-PV Based Distributed Generation for Rural Electrification 农村电气化电池支持的微型水电光伏分布式发电控制
V. Chandran, Bhim Singh
The operation and control of a battery energy storage (BES) supported pico-hydro-solar photovoltaic (PV) array based isolated renewable energy system (RES) feeding 3-phase 4-wire loads is dealt in this work. For the voltage regulation, maintaining frequency, and power quality improvement in this system, a 4-leg VSC is used. The BES is connected to the DC-link of voltage source converter (VSC) through a bidirectional converter (BDC), which regulates the DC-link voltage and controls the charging and discharging current of the battery. An advanced analytical perturb and observe (AP&O) based maximum power point tracking (MPPT) control technique with drift free operation and capability to operate in de-rated mode, is adapted in this work. The VSC connected to PCC, injects or absorbs power from this system based on the difference of energy between generation and the load. The modified complex co-efficient filter (MCCF) based control technique, takes care of the power quality of this RES system and a 4-leg VSC provides source neutral current compensation. This control algorithm extracts the fundamental load current amplitude with an improved dynamic response, high DC offset elimination and higher order harmonics removal capability. The capability of this system using presented control strategy for power quality improvement, power management, load balancing and neutral current compensation is reported in this work.
本文研究了基于电池储能(BES)支持的微型水能-太阳能光伏(PV)阵列的隔离可再生能源系统(RES)的运行和控制,该系统为三相4线负载供电。为了实现系统的电压调节、频率保持和电能质量改善,采用了四支路VSC。BES通过双向变换器(BDC)与电压源变换器(VSC)的直流链路相连,通过BDC调节直流链路电压,控制电池的充放电电流。本文采用了一种先进的基于分析摄动和观测(AP&O)的最大功率点跟踪(MPPT)控制技术,该技术具有无漂移运行和降级模式运行的能力。VSC连接到PCC,根据发电和负载之间的能量差从该系统注入或吸收电力。基于改进的复杂协效滤波器(MCCF)控制技术,照顾到该RES系统的电能质量和一个4腿VSC提供源中性点电流补偿。该控制算法提取基本负载电流幅值,具有改进的动态响应、高直流偏置消除和高次谐波去除能力。本文介绍了该系统在电能质量改善、电能管理、负载平衡和中性电流补偿等方面的性能。
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引用次数: 1
Clock Gating Analysis of TG Based D Flip-Flop for Different Technology Nodes 基于TG的D型触发器不同技术节点的时钟门控分析
Sunita Panda, Samiksha Sharma, Abhijit R. Asati
Dynamic power dissipation depends on the switching activity of the circuit. In this paper we analyzed power consumption of TG based D flip-flop at different technology nodes and power saving obtained by applying dynamic XOR based clock gating technique to this flip-flop. This work deals with implementation of a transmission gate based D flip-flop in 3 different technology nodes namely 32 nm, 22 nm and 16 nm. The circuit level simulation result of D flip-flop shows power consumption with and without clock gating at the several frequencies of operation and several data activity factors at these technology nodes. Although the power dissipation decreases with the lower technology node, the additional power saving may be obtained using the dynamic XOR based clock gating approach at higher frequency of operation and low data activity, which has been investigated in this research work.
动态功耗取决于电路的开关活动。本文分析了基于TG的D触发器在不同技术节点上的功耗,以及在该触发器上应用动态异或时钟门控技术所获得的功耗节省。本文研究了在32nm、22nm和16nm三种不同技术节点上基于传输门的D触发器的实现。D触发器的电路级仿真结果显示了在几个工作频率下带时钟门控和不带时钟门控的功耗以及这些技术节点上的几个数据活动因子。虽然功耗随技术节点的降低而降低,但在较高的工作频率和较低的数据活动下,采用基于动态异或的时钟门控方法可以获得额外的功耗节约,本研究已对此进行了研究。
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引用次数: 2
CKDAC: Cluster-Key Distribution and Access Control for Secure Communication in IoT CKDAC:物联网中安全通信的集群密钥分配和访问控制
P. G, R. K., Arunalatha J S, V. R.
The Internet of Things (IoT) is a system of interconnected Smart Devices, Digital Machines, and Things that exchange data through Machine-to-Machine communication with minimal human mediation. The scalability of the IoT devices increases the degree of connectivity to share the Data and causes unidentified trap doors for any intruder to exploit. In the proposed system, Cluster-Key Distribution and Access Control (CKDAC) for secure communication in IoT uses Publication-Subscription architecture with the dynamic Cluster Head election to enhance the security and availability of the communicating IoT Devices. The proposed CKDAC reduces Time of Computation by decreasing the processing time of the re-keying operations when the IoT node enters or exits the Cluster using the Cryptographic algorithm in the Publication-Subscription model. CKDAC extends the availability by electing the Cluster Head with the highest resources from the set of IoT Devices. The proposed scheme provides improved performance compared to Distributed Group Key Management,
物联网(IoT)是一个由相互连接的智能设备、数字机器和事物组成的系统,通过机器对机器的通信交换数据,而人工干预最少。物联网设备的可扩展性提高了共享数据的连接程度,并为任何入侵者提供了无法识别的陷阱门。在该系统中,用于物联网安全通信的集群密钥分发和访问控制(CKDAC)采用发布-订阅架构和动态簇头选举,以提高物联网设备通信的安全性和可用性。所提出的CKDAC通过使用发布-订阅模型中的加密算法减少物联网节点进入或退出集群时重新密钥操作的处理时间,从而减少了计算时间。CKDAC通过从一组物联网设备中选择具有最高资源的簇头来扩展可用性。与分布式组密钥管理相比,该方案具有更高的性能。
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引用次数: 2
Optimal Sizing of ESS in a Hybrid Wind-Diesel Power System Using NAR and NARX Model 基于NAR和NARX模型的风力-柴油混合动力系统ESS优化
Parvez Ahmad, Nitin Singh
To solve the problem of ever increasing power crisis and to employ renewable sources of power generation into the existing grid, the focus has shifted to Energy Storage System (ESS) which not only improves the voltage profile but also reduce the power system cost. However, the use of insufficient size of ESS can lead to extreme cases of power system voltage stability and may lead to voltage outages in the grid. Whereas overrated Energy Storage System may lead to poor efficiency as well as low economy. In this paper, a novel method of calculating the size of ESS and its placement on sensitive buses has been proposed based on the data of Alberta province (Canada). To solve the problem, Power-Voltage curves have been plotted to identify the sensitive buses and the size of the ESS has been calculated using NAR and NARX model. All the results have been obtained using MATLAB Simulink and IEEE 14 bus model.
为了解决日益严重的电力危机问题,并将可再生能源发电纳入现有电网,储能系统(ESS)已成为人们关注的焦点,它不仅可以改善电压分布,还可以降低电力系统成本。然而,使用尺寸不足的ESS会导致电力系统电压不稳定的极端情况,并可能导致电网电压中断。而对储能系统的评价过高,可能导致储能系统的效率不高,经济性低。本文基于加拿大阿尔伯塔省的数据,提出了一种计算ESS尺寸及其在敏感客车上放置的新方法。为了解决这一问题,绘制了功率-电压曲线来识别敏感母线,并利用NAR和NARX模型计算了ESS的尺寸。利用MATLAB Simulink和ieee14总线模型得到了所有结果。
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引用次数: 0
ECG Heartbeat Classification Using CNN 使用CNN进行心电心跳分类
Mayank Chourasia, Anurag Thakur, Shresth Gupta, Anurag Singh
Electrocardiogram(ECG) is a valuable clinical signal, which is widely used to identify the cardiovascular diseases. However, it remains a cumbersome process to manually evaluate the ECG signals because of smaller variations in its physiological features in normal and abnormal cases that too when there are a huge number of cardiac patients to examine. In such a scenario, automatic classification of ECG signals can provide an ease to the doctors to make a correct diagnosis of a particular disease. This work proposes a classification model to classify the ECG in five different classes based on their morphological features. Instead of using manually designed features as most of the existing ECG classification works do, we have extracted data-driven non-linear features using convolutional neural network. The 1D-CNN model architecture is based on three convolutional, max pooling and dense layers which automatically extracts distinguishable nonlinear features from the ECG signals and automatically classify them into five different classes: Non-ectopic beats (Normal Beat), Supraventricular ectopic beats, Ventricular ectopic beats, Fusion Beats and Unknown Beats. The proposed algorithm was assessed using open-source database of MIT-BIH, which is based on 47 subjects. After 5-fold cross-validation, the presented algorithm achieves an accuracy of 97.36% and f1 score of 99.83%. It is a simple yet fast performing model that is implementable on e-healthcare-based devices for remote heart diagnosis of patients.
心电图(Electrocardiogram, ECG)是一种有价值的临床信号,被广泛用于心血管疾病的诊断。然而,由于正常和异常病例的心电信号的生理特征变化较小,因此人工评估心电信号仍然是一个繁琐的过程,当有大量的心脏患者需要检查时也是如此。在这种情况下,心电信号的自动分类可以方便医生对特定疾病做出正确的诊断。本文提出了一种基于心电图形态特征的分类模型,将心电图分为五类。与大多数现有ECG分类工作使用人工设计的特征不同,我们使用卷积神经网络提取数据驱动的非线性特征。1D-CNN模型架构基于三个卷积层、最大池化层和密集层,自动从心电信号中提取可识别的非线性特征,并自动将其分为五类:非异位拍(正常拍)、室上异位拍、室异位拍、融合拍和未知拍。采用基于47名受试者的MIT-BIH开源数据库对算法进行评估。经过5次交叉验证,该算法的准确率为97.36%,f1得分为99.83%。它是一个简单而快速执行的模型,可在基于电子医疗保健的设备上实现,用于对患者进行远程心脏诊断。
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引用次数: 3
期刊
2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
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