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OTA Based Mem-capacitor Validation and Implementation Using Commercially Available IC 基于OTA的Mem电容器验证和使用商用IC的实现
IF 0.7 Q4 TELECOMMUNICATIONS Pub Date : 2023-09-01 DOI: 10.24425/ijet.2023.146511
Chandra Shankar, Anuj Nagar, Ashutosh Singh, Ankleshwar Kumar
— This paper discusses a mem-capacitor circuit which is based on two MO-OTA along with a multiplier and 4 passive elements. This circuit is a charge-controlled memcapacitor emulator which is independent of any memristor also it consists the feature of electronic tunability. Additionally, this circuit is simpler and uses less hardware because it lacks a mutator and uses fewer active-passive components. The circuit behaviour is justified through various simulations in cadence Orcad tool with 180nm CMOS TSMC parameters. Additionally, conclusions from simulations and theory are validated experimentally through commercially available IC.
--本文讨论了一种基于两个MO-OTA、一个乘法器和四个无源元件的mem电容器电路。该电路是一个独立于任何忆阻器的电荷控制忆电容器模拟器,它还具有电子可调谐性的特点。此外,这种电路更简单,使用更少的硬件,因为它没有突变器,使用更少有源-无源元件。电路行为是通过在具有180nm CMOS TSMC参数的cadence Orcad工具中的各种模拟来证明的。此外,仿真和理论的结论也通过商用IC进行了实验验证。
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引用次数: 0
Combination of Advanced Reservation and Resource Periodic Arrangement for RMSA in EON with Deep Reinforcement Learning 基于深度强化学习的EON中RMSA的提前预约和资源周期安排
IF 0.7 Q4 TELECOMMUNICATIONS Pub Date : 2023-09-01 DOI: 10.24425/ijet.2023.146500
R. J. Silaban, M. Alaydrus, U. Umaisaroh
—The Elastic Optical Networks (EON) provide a solution to the massive demand for connections and extremely high data traffic with the Routing Modulation and Spectrum Assignment (RMSA) as a challenge. In previous RMSA research, there was a high blocking probability because the route to be passed by the K-SP method with a deep neural network approach used the First Fit policy, and the modulation problem was solved with Modulation Format Identification (MFI) or BPSK using Deep Reinforcement Learning. The issue might be apparent in spectrum assignment because of the influence of Advanced Reservation (AR) and Resource Periodic Arrangement (RPA), which is a decision block on a connection request path with both idle and active data traffic. The study’s limitation begins with determining the modulation of m = 1 and m = 4, followed by the placement of frequencies, namely 13 with a combination of standard block frequencies 41224–24412, so that the simulation results are less than 0.0199, due to the combination of block frequency slices with spectrum allocation rule techniques.
弹性光网络(EON)提供了一个解决方案,以满足大量的连接需求和极高的数据流量,路由调制和频谱分配(RMSA)是一个挑战。在以往的RMSA研究中,由于采用深度神经网络方法的K-SP方法所要通过的路由采用First Fit策略,而采用深度强化学习的调制格式识别(modulation Format Identification, MFI)或BPSK来解决调制问题,因此存在较高的阻塞概率。由于高级预留(AR)和资源周期安排(RPA)的影响,这个问题在频谱分配中可能会很明显,RPA是一个具有空闲和活动数据流量的连接请求路径上的决策块。本研究的局限性首先是确定m = 1和m = 4的调制,其次是频率的放置,即13与标准块频率41224-24412的组合,使得仿真结果小于0.0199,这是由于块频率切片与频谱分配规则技术的结合。
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引用次数: 0
Token Bucket Algorithm with Modernization Techniques to avoid Congestion in DEC Protocol of WSN 基于现代化技术的令牌桶算法在WSN DEC协议中避免拥塞
IF 0.7 Q4 TELECOMMUNICATIONS Pub Date : 2023-09-01 DOI: 10.24425/ijet.2023.146499
Habibulla Mohammad, K. P. R. Krishna, C. Gangadhar, Riazuddin Mohammed
— A wireless sensor system is an essential aspect in many fields. It consists of a great deal of sensor nodes. These sensor networks carry out a number of tasks, including interaction, distribution, recognition, and power supply. Data is transmitted from source to destination and plays an important role. Congestion may occur during data transmission from one node to another and also at cluster head locations. Congestion will arise as a result of either traffic division or resource allocation. Energy will be wasted due to traffic division congestion, which causes packet loss and retransmission of removed packets. As a result, it must be simplified; hence there are a few Wireless sensor networks with various protocols that will handle Congestion Control. The Deterministic Energy Efficient Clustering (DEC) protocol, which is fully based on residual energy and the token bucket method, is being investigated as a way to increase the energy efficiency. In the event of congestion, our proposal provides a way to cope with it and solves it using this method to improve lifespan of the sensor networks. Experiments in simulation show that the proposed strategy can significantly enhance lifetime, energy, throughput, and packet loss.
--无线传感器系统是许多领域中的一个重要方面。它由大量的传感器节点组成。这些传感器网络执行许多任务,包括交互、分配、识别和供电。数据从源传输到目的地,并发挥着重要作用。拥塞可能发生在从一个节点到另一个节点的数据传输期间,也可能发生在簇头位置。拥堵将由于交通划分或资源分配而出现。由于业务划分拥塞,能量将被浪费,从而导致数据包丢失和删除的数据包的重新传输。因此,它必须简化;因此,存在一些具有各种协议的无线传感器网络来处理拥塞控制。确定性能量有效聚类(DEC)协议完全基于剩余能量和令牌桶方法,作为提高能量效率的一种方法,正在被研究。在发生拥塞的情况下,我们的提案提供了一种应对拥塞的方法,并使用这种方法来解决拥塞,以提高传感器网络的寿命。仿真实验表明,该策略可以显著提高系统的使用寿命、能耗、吞吐量和丢包率。
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引用次数: 0
A CNN Approach to Central Retinal Vein Occlusion Detection 视网膜中央静脉闭塞检测的CNN方法
IF 0.7 Q4 TELECOMMUNICATIONS Pub Date : 2023-09-01 DOI: 10.24425/ijet.2023.146508
Jayanthi Rajee Bala, Mohamed Mansoor Roomi Sindha, Jency Sahayam, Praveena Govindharaj, Karthika Priya Rakesh
— In the field of medicine there is a need for the automatic detection of retinal disorders. Blindness in older persons is primarily caused by Central Retinal Vein Occlusion (CRVO). It results in rapid, irreversible eyesight loss, therefore, it is essential to identify and address CRVO as soon as feasible. Hemorrhages, which can differ in size, pigment, and shape from dot-shaped to flame hemorrhages, are one of the earliest symptoms of CRVO. The early signs of CRVO are, hemorrhages, however, so mild that ophthalmologists must dynamically observe such indicators in the retina image known as the fundus image, which is a challenging and time-consuming task. It is also difficult to segment hemorrhages since the blood vessels and hemorrhages (HE) have the same color properties also there is no particular shape for hemorrhages and it scatters all over the fundus image. A challenging study is needed to extract the characteristics of vein deformability and dilatation. Furthermore, the quality of the captured image affects the efficacy of feature Identification analysis. In this paper, a deep learning approach for CRVO extraction is proposed .
--在医学领域中,需要对视网膜疾病进行自动检测。老年人的失明主要是由视网膜中央静脉阻塞(CRVO)引起的。它会导致快速、不可逆转的视力下降,因此,尽快识别和解决CRVO至关重要。出血是CRVO最早的症状之一,出血的大小、色素和形状可能不同,从点状出血到火焰状出血。然而,CRVO的早期迹象是出血,出血非常轻微,眼科医生必须在视网膜图像(即眼底图像)中动态观察这些指标,这是一项具有挑战性且耗时的任务。也很难分割出血,因为血管和出血(HE)具有相同的颜色特性,而且出血没有特定的形状,并且它散布在眼底图像上。需要进行一项具有挑战性的研究来提取静脉可变形性和扩张性的特征。此外,捕获图像的质量影响特征识别分析的效果。本文提出了一种用于CRVO提取的深度学习方法。
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引用次数: 0
Detecting and Locating Signal Leakages from Cable TV Networks – A Case Study 有线电视网络信号泄漏的检测与定位——一个案例研究
IF 0.7 Q4 TELECOMMUNICATIONS Pub Date : 2023-09-01 DOI: 10.24425/ijet.2023.146502
Péter Vári
— Since the digitalization of terrestrial television, many countries have discontinued television broadcasting in the UHF band. The freed-up frequencies are now available as digital dividends for mobile and fixed wireless access communication networks (MFCN), particularly for 4G/5G and public safety services in broadband called BBPPDR. Since cable TV still uses the UHF band, leakage from cable TV networks is the most common cause of interference in MFCN networks. Insufficient containment of the radio frequency signals transmitted through a cable system results in cable signal leakage. This article investigates the significance of controlling electromagnetic signal leaks from cable TV networks and how they impact authorized and standardized MFCN networks in the digital dividend bands. The periodic drive-test approach to detect and measure electromagnetic leakage from a cable TV system in the 700 MHz band at a site is detailed. The causes of the detected leaks and offered the appropriate procedure to repair them are also discussed. Additionally, the current measures taken in Hungary to address cable television signal leakage in the digital dividend bands are also discussed and alternative strategies for the adopted test drive approach are proposed.
--自从地面电视数字化以来,许多国家已经停止了超高频波段的电视广播。腾出的频率现在可以作为移动和固定无线接入通信网络(MFCN)的数字红利,特别是4G/5G和名为BBPPDR的宽带公共安全服务。由于有线电视仍然使用UHF波段,有线电视网络的泄漏是MFCN网络中最常见的干扰原因。通过电缆系统传输的射频信号的容纳不足会导致电缆信号泄漏。本文研究了控制有线电视网络电磁信号泄漏的重要性,以及它们如何影响数字红利频带中授权和标准化的MFCN网络。详细介绍了在现场检测和测量700MHz频段有线电视系统电磁泄漏的周期性驱动测试方法。还讨论了检测到的泄漏的原因,并提供了适当的维修程序。此外,还讨论了匈牙利目前为解决数字红利频带中的有线电视信号泄漏问题而采取的措施,并提出了所采用的测试驱动方法的替代策略。
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引用次数: 0
A Novel Intelligent Neural Network Techniques of UPQC with Integrated Solar PV System for Power Quality Enhancement 一种用于提高电能质量的UPQC与集成太阳能光伏系统的新型智能神经网络技术
IF 0.7 Q4 TELECOMMUNICATIONS Pub Date : 2023-09-01 DOI: 10.24425/ijet.2023.146514
Ramesh Rudraram, Sasi Chinnathambi
— A Novel Intelligent control of a Unified Power Quality Conditioner (UPQC) coupled with Photovoltaic (PV) system is proposed in this work. The utilization of a Re-lift Luo converter in conjunction with a Cascaded Artificial Neural Network (ANN) Maximum Power Point Tracking (MPPT) method facilitates the optimization of power extraction from PV sources. UPQC is made up of a series and shunt Active Power Filter (APF), where the former compensates source side voltage quality issues and the latter compensates the load side current quality issues. The PV along with a series and shunt APFs of the UPQC are linked to a common dc-bus and for regulating a dc-bus voltage a fuzzy tuned Adaptive PI controller is employed. Moreover, a harmonics free reference current is generated with the aid of CNN assisted dq theory in case of the shunt APF. The results obtained from MATLAB simulation.
--本文提出了一种新型的智能控制与光伏系统耦合的统一电能质量调节器。Re-lift Luo转换器与级联人工神经网络(ANN)最大功率点跟踪(MPPT)方法的结合使用有助于优化光伏电源的功率提取。UPQC由串联和并联有源电力滤波器(APF)组成,前者补偿源侧电压质量问题,后者补偿负载侧电流质量问题。PV以及UPQC的串联和并联APF连接到公共直流母线,并且为了调节直流母线电压,采用了模糊调谐自适应PI控制器。此外,在并联型有源电力滤波器的情况下,借助CNN辅助的dq理论产生了无谐波参考电流。通过MATLAB仿真得到的结果。
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引用次数: 0
Per Sub-band Tone Reservation Scheme for Universal Filtered Multi-Carrier Signal 通用滤波多载波信号的每子带音调预留方案
IF 0.7 Q4 TELECOMMUNICATIONS Pub Date : 2023-09-01 DOI: 10.24425/ijet.2023.146505
Laabidi Mounira, B. Ridha
—Fifth generation (5G) applications like Internet of Things (IoT), Enhanced Mobile Broadband (eMBB), Cognitive Radios (CR), Vehicle to Vehicle (V2V) and Machine to Machine (M2M) communication put new demands on the network in terms of low latency, ultra-reliable communication and efficiency when transmitting very small bursts. One new contender that makes its appearance recently is the Universal Filtered Multi-Carrier (UFMC). UFMC is a potential candidate to meet the requirements of 5G upcoming applications. This related wave-form encounters the peak-to-average power ratio (PAPR) issue arising from the usage of multi-carrier transmission. In this investigation, two PAPR reduction techniques, called Per Sub-band Tone Reservation (PSTR) scheme to alleviate PAPR in UFMC systems are suggested. The first one is a pre-filtering PSTR scheme that uses the least squares approximation (LSA) algorithm to calculate the optimization factor(µ) and the second one is a post-filtering method. The concept of this proposal lies on the use of peaks reductions Tone to carry the correctional signal that reduces the high peaks of each sub-band individually. To shed light on UFMC as a potential waveform for 5G upcoming application, a comparison with OFDM modulation is done.
-物联网(IoT)、增强型移动宽带(eMBB)、认知无线电(CR)、车对车(V2V)和机器对机器(M2M)通信等第五代(5G)应用对网络在低延迟、超可靠通信和传输非常小突发时的效率方面提出了新的要求。最近出现的一个新的竞争者是通用滤波多载波(UFMC)。UFMC是满足5G即将到来的应用需求的潜在候选者。这种相关的波形遇到了由于使用多载波传输而产生的峰均功率比(PAPR)问题。在本研究中,提出了两种降低超频比的技术,称为每子带音调保留(PSTR)方案,以减轻超频比在UFMC系统中的影响。第一种是使用最小二乘近似(LSA)算法计算优化因子(µ)的预滤波PSTR方案,第二种是后滤波方法。该建议的概念在于使用降峰Tone来携带校正信号,该信号分别降低每个子带的峰值。为了阐明UFMC作为5G即将到来的应用的潜在波形,与OFDM调制进行了比较。
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引用次数: 0
FPGA Implementation of Neural Nets 神经网络的FPGA实现
IF 0.7 Q4 TELECOMMUNICATIONS Pub Date : 2023-09-01 DOI: 10.24425/ijet.2023.146513
Sujatha Kumari, Sudarshan Patil Kulkarni, C. G. Sinchana
— The field programmable gate array (FPGA) is used to build an artificial neural network in hardware. Architecture for a digital system is devised to execute a feed-forward multilayer neural network. ANN and CNN are very commonly used architectures. Verilog is utilized to describe the designed architecture. For the computation of certain tasks, a neural network’s distribut ed architecture structure makes it potentially efficient. The same features make neural nets suitable for application in VLSI technology. For the hardware of a neural network, a single neuron must be effectively implemented (NN). Reprogrammable computer systems based on FPGAs are useful for hardware implementations of neural networks.
—硬件采用现场可编程门阵列(FPGA)构建人工神经网络。设计了一个数字系统的结构来执行前馈多层神经网络。ANN和CNN是非常常用的架构。Verilog被用来描述设计的架构。对于某些任务的计算,神经网络的分布式架构结构使其具有潜在的效率。同样的特点使得神经网络适合应用于超大规模集成电路技术。对于神经网络的硬件来说,单个神经元必须被有效地实现。基于fpga的可编程计算机系统对于神经网络的硬件实现非常有用。
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引用次数: 0
Downtime Measurements of Generator-Powered Microgrid During Planned and Unplanned Transfer to Island Mode 发电机微电网在计划和非计划岛式转移过程中的停机时间测量
IF 0.7 Q4 TELECOMMUNICATIONS Pub Date : 2023-09-01 DOI: 10.24425/ijet.2023.146497
Kamil Prokop, Andrzej Bie´n, Szymon Barczentewicz
—Growing popularity of distributed generation is drawing special attention to communication technologies in smart power grids. This paper provides a detailed overview of the communication protocols utilized in the modern distributed grid laboratory. It describes both wired and wireless technologies used in Smart Grid and presents the remote operation of switching the subsystem from grid mode to island mode operating under nominal conditions. It shows the duration of power outages during a transfer to island mode with diesel generator running on idle - which simulates planned islanding and diesel generator stationary, which simulates unplanned islanding. Latency be-tween registration of disturbance and executing control command is measured. The results obtained are compared with current legislation. The consequences to the power system that are possible in both scenarios are highlighted. Obtained results and description of the communication technologies can be useful for the design of distributed power grids, island-mode power grids, and Smart Grids, as well as for further research in the area of using combustion fuel generators as a primary power supply in the microgrid.
--分布式发电的日益普及引起了智能电网中通信技术的特别关注。本文详细介绍了现代分布式网格实验室中使用的通信协议。它描述了智能电网中使用的有线和无线技术,并介绍了在标称条件下将子系统从电网模式切换到孤岛模式的远程操作。它显示了在柴油发电机怠速运行的情况下转换到孤岛模式期间的停电持续时间,模拟了计划孤岛,柴油发电机静止,模拟了非计划孤岛。测量干扰登记和执行控制命令之间的延迟。所得结果与现行立法进行了比较。强调了在这两种情况下可能对电力系统造成的后果。所获得的结果和通信技术的描述可用于分布式电网、岛式电网和智能电网的设计,以及在使用燃烧燃料发电机作为微电网主电源领域的进一步研究。
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引用次数: 0
Zipf Distribution Power AllocationAapproach for NOMA Systems NOMA系统的Zipf配电分配方法
IF 0.7 Q4 TELECOMMUNICATIONS Pub Date : 2023-09-01 DOI: 10.24425/ijet.2023.146507
Hanane Himeur, S. Meriah, Fouad Derraz
—Non-orthogonal multiple access (NOMA) has received tremendous attention for the development of 5G and beyond wireless networks. Power-domain NOMA works on the concept of assigning varying power levels to users within the same frequency and time block. In this paper we propose a novel power allocation approach that uses the Zipf distribution law that satisfies the basic condition of a NOMA system. The Zipf PA is characterized by the simplicity and ease of implementation that allows to extend the capacity of the system to support a large number of users. The numerical results show that the system achieves high throughput and energy efficiency without any parameter optimization constraints as well as improved capacity by increasing the number of users compared to the NOMA system with existing power allocation techniques.
--非正交多址(NOMA)在5G及其他无线网络的发展中受到了极大的关注。功率域NOMA的工作原理是在相同的频率和时间块内为用户分配不同的功率电平。在本文中,我们提出了一种新的功率分配方法,该方法使用满足NOMA系统基本条件的Zipf分布律。Zipf PA的特点是实现简单易用,可以扩展系统的容量以支持大量用户。数值结果表明,与采用现有功率分配技术的NOMA系统相比,该系统在没有任何参数优化约束的情况下实现了高吞吐量和能效,并通过增加用户数量来提高容量。
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引用次数: 0
期刊
International Journal of Electronics and Telecommunications
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