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Design of an Efficient Parallel Comparator Architecture for Low Power Delay Product 一种用于低功耗延迟产品的高效并行比较器结构设计
IF 0.6 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2021-06-30 DOI: 10.15598/AEEE.V19I2.4101
M. Gupta, R. Chauhan
A binary comparator architecture is proposed in this work for static logic to achieve both low-power and high-performance operations. It also presents a detailed timing performance and power analysis of various state-of-the-art comparator designs. The main advantages of this design are its high speed and power efficiency maintained over a wide range of operands size, which is useful at low-input data activity environments. The proposed circuit design uses minimum fan-in and fan-out logic gates for achieving high speed and low power dissipation. Utilizing a 2-bit binary comparator circuit with minimum fan-in and fan-out of logic gates (NAND-NOR), the architecture of a parallel binary comparator is proposed for higher input operands by using a low radix multiplexer and priority encoder. Further, to decrease the size of the multiplexer and priority encoder by two times, a general architecture is also proposed by using a 4-bit binary comparator to reduce its complexity. The proposed circuits are optimized in terms of the power consumption and delay, which are due to low load capacitance, low leakages, and reduced dynamic power dissipation. Each of the proposed circuits has its own merits in terms of speed, power consumption, Power-Delay Product (PDP). Its synthesis is done on 180 nm as well as 90 nm CMOS technology using the Cadence tool. The physical layout of the proposed architecture using a 90 nm CMOS process (GPDK process) is also obtained.
本文提出了一种用于静态逻辑的二进制比较器架构,以实现低功耗和高性能操作。它还介绍了各种最先进的比较器设计的详细时序性能和功率分析。这种设计的主要优点是其在宽操作数大小范围内保持的高速度和功率效率,这在低输入数据活动环境下是有用的。所提出的电路设计使用最小扇入和扇出逻辑门来实现高速和低功耗。利用具有最小扇入和扇出逻辑门(NAND-NOR)的2位二进制比较器电路,通过使用低基数多路复用器和优先级编码器,提出了用于较高输入操作数的并行二进制比较器的结构。此外,为了将多路复用器和优先级编码器的大小减小两倍,还提出了一种使用4位二进制比较器来降低其复杂性的通用架构。所提出的电路在功耗和延迟方面进行了优化,这是由于低负载电容、低泄漏和降低了动态功耗。所提出的每个电路在速度、功耗、功率延迟乘积(PDP)方面都有自己的优点。它的合成是在180纳米和90纳米CMOS技术上使用Cadence工具完成的。还获得了使用90nm CMOS工艺(GPDK工艺)的所提出的架构的物理布局。
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引用次数: 0
Reliability Based Power Distribution Network Planning Using Fuzzy Logic 基于可靠性的模糊配电网规划
IF 0.6 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2021-06-30 DOI: 10.15598/aeee.v19i2.4011
Haris Ahmetović, M. Saric, J. Hivziefendic
This paper presents a fuzzy system for reliability-based power distribution network planning. The proposed Mamdani type fuzzy inference system with subsequent application of the Bellman-Zadeh decision-making method is used to evaluate the reliability of the power line feeders as criteria for power system planning. Unplanned outages of system components, the Energy Not Supplied (ENS) and age of the power lines are used as input variables of the system and are fuzzified using triangular fuzzy functions. The proposed model was tested on a model of a realistic distribution network in order to prove its relevance and applicability. Results demonstrated that this model could make a contribution in this field as it can be used in practical planning situations for project priority ranking.
提出了一种基于可靠性的配电网规划模糊系统。提出了Mamdani型模糊推理系统,并应用Bellman-Zadeh决策方法对馈线可靠性进行评价,作为电力系统规划的准则。采用三角模糊函数对系统部件的计划外停机、电力线路的不供能(ENS)和使用年限作为系统的输入变量进行模糊化。在实际配电网模型上验证了该模型的适用性和实用性。结果表明,该模型可用于实际规划情况下的项目优先级排序,在该领域具有一定的应用价值。
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引用次数: 1
Dynamic Power Consumption and Delay Analysis for Ultra-Low Power 2 to 1 Multiplexer Designs 超低功耗2比1复用器设计的动态功耗和延迟分析
IF 0.6 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2021-06-30 DOI: 10.15598/AEEE.V19I2.3821
Nishant Kumar, P. Mittal, B. Rawat, Mudit Mittal
This paper highlights a comparative analysis of eight diverse techniques for 2 to 1 multiplexer implementation. The functionality is identical but significant differences in dynamic power consumption and propagation delay are observed. This paper aims to enable the designer to pick out the best fit structure for a specific application in keeping with their design requirement. The multiplexers are designed at 90 nm technology node and simulated at a supply voltage of 1V.
本文重点对2到1多路复用器实现的八种不同技术进行了比较分析。功能是相同的,但在动态功耗和传播延迟方面观察到显著差异。本文旨在使设计者能够根据他们的设计要求,为特定应用选择最合适的结构。多路复用器是在90nm技术节点上设计的,并在1V的电源电压下进行模拟。
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引用次数: 3
Design and Hardware Implementation of Modified Incremental Conductance Algorithm for Photovoltaic System 光伏系统增量电导修正算法的设计与硬件实现
IF 0.6 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2021-06-30 DOI: 10.15598/AEEE.V19I2.3881
D. Ounnas, Dhaouadi Guiza, Y. Soufi, Mahmoud Maamri
This paper deals with the design, simulation and real-time implementation of Maximum Power Point Tracking (MPPT) technique for a Photovoltaic (PV) system. A new modified Incremental Conductance (INC) algorithm is proposed to extract maximum power from PV panels at different levels of temperature and solar irradiation. The considered PV system consists of a PV panel, a DC-DC boost converter controlled by MPPT algorithm and a resistive load. First, the simulation tests of the proposed algorithm using Matlab/Simulink environment are presented, and then, followed by a real-time implementation using Arduino Mega board and a specific package known as ``Simulink support package for arduino hardware'' to validate experimentally the~simulation tests. Simulation and experimental results show that the proposed modified INC algorithm offers much less oscillation around the Maximum Power Point (MPP), fast dynamic response and better performances compared to the conventional INC algorithm.
本文研究了光伏系统最大功率点跟踪(MPPT)技术的设计、仿真和实时实现。提出了一种新的改进的增量电导(INC)算法,以提取不同温度和太阳辐射水平下光伏电池板的最大功率。所考虑的光伏系统由光伏面板、由MPPT算法控制的DC-DC升压转换器和电阻负载组成。首先,使用Matlab/Simulink环境对所提出的算法进行了仿真测试,然后,使用Arduino超级板和一个名为“用于Arduino硬件的Simulink支持包”的特定软件包进行了实时实现,以对仿真测试进行实验验证。仿真和实验结果表明,与传统的INC算法相比,该算法在最大功率点附近的振荡小得多,动态响应快,性能更好。
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引用次数: 5
BEMD Based Ultrasound Image Speckle Reduction Technique Using Pixel-Wise Wiener Filtering 基于bmd的逐像素维纳滤波超声图像散斑去除技术
IF 0.6 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2021-06-30 DOI: 10.15598/AEEE.V19I2.4100
Bhawna Gupta, V. Khandelwal
In this paper, an improved Bidimensional Empirical Mode Decomposition (BEMD) based speckle reduction technique for ultrasound images has been proposed. The noisy image has been decomposed into its Intrinsic Mode Functions (IMFs) and a~residue. The noise component of the low order IMFs is removed with the pixel-wise Wiener filtering. The image is reconstructed with these filtered low order IMFs, high order IMFs and the residue. The performance of the proposed method has been tested on synthetic as well as real ultrasound images having noise components of different variance. The experimental results show that the proposed algorithm performs better than other existing methods for synthetic images as well as real ultrasound images in terms of various image quality matrices.
本文提出了一种改进的基于二维经验模态分解(BEMD)的超声图像散斑去除技术。将噪声图像分解为其固有模态函数(IMFs)和残差。通过逐像素维纳滤波去除低阶imf的噪声分量。利用滤波后的低阶imf、高阶imf和残差对图像进行重构。在具有不同方差噪声分量的合成超声图像和真实超声图像上测试了该方法的性能。实验结果表明,该算法在各种图像质量矩阵方面都优于现有的合成图像和真实超声图像方法。
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引用次数: 0
Implementation and Performance Analysis of Cognitive Radio with Frequency Updating Algorithm on Software-defined Radio Platform 基于频率更新算法的认知无线电在软件定义无线电平台上的实现与性能分析
IF 0.6 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2021-04-16 DOI: 10.2174/2352096514999201224124958
J. Phull, N. S. Grewal, S. Singh, A. Rani
Wireless communication is being used in all communication standards. However, witheach passing day, the bandwidth scarcity has become a significant concern for the upcoming wirelesstechnologies. In order to address this concern, various techniques based on artificial intelligencehave been designed. The basic intelligent radio called cognitive radio has been devised. Itworks on the basic principle of spectrum sensing and detecting the free frequency for transmissionof the secondary user, who is an unlicensed user. This work proposes an efficient technique thathas been developed to design cognitive radio based on SDR platform. The frequency updating algorithmhas been added for the performance assessment of the proposed technique. The analysisposits that for every 10dB rise in Gaussian Noise, the bit error rate of secondary transmitter andspectrum sensor, cause an increment of 19.59% and 29.39%, respectively. It has been found thatspectrum sensor is more prone to noise and that the Gaussian noise degrades the performance ofthe system. Therefore, it is pertinent that the spectrum sensor should be programmed carefully.This analysis shows that the best range of spectrum sensor under Gaussian noise is 0 to 0.1dB andthe bit error rate is within this specified range.
无线通信正在所有通信标准中使用。然而,随着时间的推移,带宽稀缺已经成为即将到来的无线技术的一个重要问题。为了解决这一问题,已经设计了各种基于人工智能的技术。被称为认知无线电的基本智能无线电已经被设计出来。它基于频谱感测的基本原理,并检测第二用户(未经许可的用户)的传输自由频率。这项工作提出了一种基于SDR平台的认知无线电设计的有效技术。频率更新算法已被添加用于所提出的技术的性能评估。分析认为,高斯噪声每增加10dB,二次发射机和频谱传感器的误码率分别会增加19.59%和29.39%。研究发现,光谱传感器更容易受到噪声的影响,高斯噪声会降低系统的性能。因此,应该仔细地对光谱传感器进行编程。分析表明,频谱传感器在高斯噪声下的最佳工作范围为0~0.1dB,误码率在该范围内。
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引用次数: 2
Research on Fog Resource Scheduling based on Cloud-fog Collaboration Technology in the Electric Internet of Things 基于云-雾协同技术的电气物联网雾资源调度研究
IF 0.6 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2021-04-16 DOI: 10.2174/2352096514999210104144312
Youchan Zhu, Yingzi Wang, W. Liang
With the further development of the electric Internet of Things (eIoT), IoTdevices in the distributed network generate data with different frequencies and types.Fog platform is located between the smart collected terminal and cloud platform, and theresources of fog computing are limited, which affects the delay of service processing time and responsetime.In this paper, an algorithm of fog resource scheduling and load balancing is proposed.First, the fog devices divide the tasks into high or low priority. Then, the fog management nodescluster the fog nodes through the K-mean+ algorithm and implement the earliest deadline firstdynamic (EDFD) task scheduling algorithm and De-REF neural network load balancing algorithm.We use tools to simulate the environment, and the results show that this method has strongadvantages in -30% response time, -50% scheduling time, delay, -50% load balancing rate, and energyconsumption, which provides a better guarantee for eIoT.Resource scheduling is an important factor affecting system performance. This articlemainly addresses the needs of eIoT in terminal network communication delay, connection failure,and resource shortage. A new method of resource scheduling and load balancing is proposed. Theevaluation was performed, and it proved that our proposed algorithm has better performance thanthe previous method, which brings new opportunities for the realization of eIoT.
随着电力物联网(eIoT)的进一步发展,分布式网络中的物联网设备产生不同频率和类型的数据。雾平台位于智能采集终端和云平台之间,雾计算资源有限,影响了业务处理时间和响应时间的延迟。本文提出了一种雾资源调度和负载均衡算法。首先,雾装置将任务划分为高优先级或低优先级。然后,雾管理节点通过K-mean+算法对雾节点进行聚类,实现最早截止日期第一动态(EDFD)任务调度算法和De-REF神经网络负载均衡算法。利用工具对环境进行仿真,结果表明,该方法在-30%响应时间、-50%调度时间、延迟、-50%负载均衡率、能耗等方面具有较强的优势,为eIoT提供了较好的保障。资源调度是影响系统性能的重要因素。本文主要解决了eIoT在终端网络通信延迟、连接失败、资源短缺等方面的需求。提出了一种新的资源调度和负载均衡方法。结果表明,本文提出的算法具有更好的性能,为实现eIoT带来了新的机遇。
{"title":"Research on Fog Resource Scheduling based on Cloud-fog Collaboration Technology in the Electric Internet of Things","authors":"Youchan Zhu, Yingzi Wang, W. Liang","doi":"10.2174/2352096514999210104144312","DOIUrl":"https://doi.org/10.2174/2352096514999210104144312","url":null,"abstract":"\u0000\u0000With the further development of the electric Internet of Things (eIoT), IoT\u0000devices in the distributed network generate data with different frequencies and types.\u0000\u0000\u0000\u0000Fog platform is located between the smart collected terminal and cloud platform, and the\u0000resources of fog computing are limited, which affects the delay of service processing time and response\u0000time.\u0000\u0000\u0000\u0000In this paper, an algorithm of fog resource scheduling and load balancing is proposed.\u0000First, the fog devices divide the tasks into high or low priority. Then, the fog management nodes\u0000cluster the fog nodes through the K-mean+ algorithm and implement the earliest deadline first\u0000dynamic (EDFD) task scheduling algorithm and De-REF neural network load balancing algorithm.\u0000\u0000\u0000\u0000We use tools to simulate the environment, and the results show that this method has strong\u0000advantages in -30% response time, -50% scheduling time, delay, -50% load balancing rate, and energy\u0000consumption, which provides a better guarantee for eIoT.\u0000\u0000\u0000\u0000Resource scheduling is an important factor affecting system performance. This article\u0000mainly addresses the needs of eIoT in terminal network communication delay, connection failure,\u0000and resource shortage. A new method of resource scheduling and load balancing is proposed. The\u0000evaluation was performed, and it proved that our proposed algorithm has better performance than\u0000the previous method, which brings new opportunities for the realization of eIoT.\u0000","PeriodicalId":7268,"journal":{"name":"Advances in Electrical and Electronic Engineering","volume":"14 1","pages":"347-359"},"PeriodicalIF":0.6,"publicationDate":"2021-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44760820","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: 2
Elicitation of Scattering Parameters of Dual-halo Dual-dielectric Triple-material Surrounding Gate (DH-DD-TM-SG) MOSFET for Microwave Frequency Applications 微波用双晕双介质三材料环栅MOSFET散射参数的激发
IF 0.6 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2021-03-31 DOI: 10.15598/AEEE.V19I1.3788
N. Gupta, Prashanth Kumar
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引用次数: 5
Comparative Analysis of Lattice-based All-Pass Filter and Second Order Generalized Integrator as Orthogonal System Generator of a PLL 基于格点的全通滤波器和二阶广义积分器作为PLL正交系统发生器的比较分析
IF 0.6 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2021-03-31 DOI: 10.15598/AEEE.V19I1.4002
Luciano Emilio Belandria, Nancy Alejandra Agudelo, J. Bergas-Jané
This paper presents a steady-state comparison of two methods that generate an orthogonal voltage system for a single-phase Phase-Locked Loop (PLL) structure: a widely accepted one based on a Second Order Generalized Integrator (SOGI) and a new one based on a All-Pass Filter (APF) with Lattice structure. Both methods are very attractive because of their simple digital implementation, low computational load and good performance under harmonically distorted grid conditions and variable frequency, so they are a good alternative to other known methods. The paper derives and analyzes the full state space models of the two methods. It is shown that these two methods are equivalent in the most common operation conditions of distributed energy resources, although the APF structure is clearly better than the SOGI one because it maintains its orthogonal generation ability for any higher notch frequencies and any lower sampling frequencies. The comparative analysis were validated by simulation using MATLAB/Simulink and experimental results using a fixed-point DSP.
本文对产生单相锁相环(PLL)结构正交电压系统的两种方法进行了稳态比较:一种是广泛接受的基于二阶广义积分器(SOGI)的方法,另一种是基于格点结构全通滤波器(APF)的新方法。这两种方法都非常有吸引力,因为它们的数字实现简单,计算量低,在谐波失真的网格条件和可变频率下具有良好的性能,因此它们是其他已知方法的良好替代方案。本文推导并分析了这两种方法的全状态空间模型。结果表明,这两种方法在分布式能源最常见的运行条件下是等效的,尽管APF结构明显优于SOGI结构,因为它对任何较高的陷波频率和任何较低的采样频率都保持了正交生成能力。通过MATLAB/Simulink的仿真和定点DSP的实验结果验证了对比分析的有效性。
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引用次数: 0
New Control Approaches for Trajectory Tracking and Motion Planning of Unmanned Tracked Robot 无人履带机器人轨迹跟踪与运动规划的新控制方法
IF 0.6 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2021-03-31 DOI: 10.15598/AEEE.V19I1.4006
S. Banihani, M. Hayajneh, A. Al-Jarrah, S. Mutawe
This work proposes new control approaches for tracking and motion planning of Unmanned Ground Vehicles (UGVs) that utilize skid steering system. This work proposes an energy based Variable Structure Control (VSC) scheme, in which two independent Sliding Control Surfaces (SCS)s are designed based on the system states. Particularly, the controller is designed based on the assessment and the minimization of the systems total energy by finding an explicit relation between the controller gains and the slope of the sliding surface. The work also discusses a new fuzzy potential approach for motion planning of UGV. The Fuzzy system generates an attractive force that pulls the UGV effectively toward a moving or stationary target, and a repulsive force, which is required to avoid any stationary or moving obstacles. Both, the VSC and the motion planning were validated by a nonlinear model of an Unmanned Tracked Robot (UTR) on different trajectories, and was compared with different control schemes. Simulation results show superiority of the proposed VSC over other methods with less control effort. Furthermore, the new motion planning controller proved its high capacity in producing a smooth and dynamic trajectory to allow an UGV to track a target and to avoid obstacles.
这项工作提出了利用滑移转向系统的无人地面车辆(UGV)跟踪和运动规划的新控制方法。本文提出了一种基于能量的变结构控制(VSC)方案,其中基于系统状态设计了两个独立的滑动控制面(SCS)。特别地,控制器是基于系统总能量的评估和最小化来设计的,通过找到控制器增益和滑动面的斜率之间的显式关系。本文还讨论了一种新的UGV运动规划的模糊势方法。模糊系统产生一个吸引力,将UGV有效地拉向移动或静止的目标,以及一个排斥力,这是避免任何静止或移动障碍物所必需的。通过无人履带机器人(UTR)在不同轨迹上的非线性模型验证了VSC和运动规划,并与不同的控制方案进行了比较。仿真结果表明,与其他控制方法相比,所提出的VSC具有较少的控制工作量。此外,新的运动规划控制器证明了其在产生平滑和动态轨迹方面的高能力,以允许UGV跟踪目标并避开障碍物。
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引用次数: 4
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