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2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT)最新文献

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Fingerprint-Based Vote Marking System for Elector Identification 基于指纹的选民投票标记系统
G. John Baptist, K. Vishnu, S. Sneha, Kg Arya, L. R. Silpa Sangeeth
India being the largest democracy in the world, it is crucial to conduct a free, fair and secure election. This paper aims to develop a fingerprint-based vote marking system. The Fingerprint based vote marking system is a mobile application that helps the government to conduct polls smoothly. The objective is to develop a system that decreases fraud and safeguard voting through fingerprint verification. Voter information is saved in a database along with their fingerprints. The system retrieves the electoral information of the respective voter if the fingerprint matches. The officer verifies the elector ID and identifies the person as a valid voter. Thus, our system provides a reliable, secure, fast and cost-effective solution in the election process.
印度是世界上最大的民主国家,举行一场自由、公平和安全的选举至关重要。本文旨在开发一个基于指纹的投票标记系统。指纹投票标记系统是帮助政府顺利进行投票的移动应用程序。目标是开发一种通过指纹验证来减少欺诈和保护投票的系统。选民信息和指纹一起保存在数据库中。如果指纹匹配,系统检索相应选民的选举信息。工作人员核实选民身份证,并确认该人为有效选民。因此,我们的系统在选举过程中提供了一个可靠、安全、快速和经济的解决方案。
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引用次数: 0
Design and Implementation of ALU Using Ring Counters 基于环形计数器的ALU设计与实现
J.L.V Ramana Kumari, Y. Varshitha, Chebrolu Gopi, M. Rakesh
An arithmetic logic unit in computing is a combinational digital circuit that operates on integer, binary integers mathematically and bitwise. The aim of this paper is to design an ALU using 8-bit Programmable Ring counter, that is a combination of straight and twisted ring counters. It accepts two 4-bit binary numbers, perform ALU operations and results the output. And finally, compare the performance of ALU between Ring counters in terms of various aspects. An ALU performs several arithmetic and logical operations on two 4-bit values, that includes addition, subtraction, logical AND, OR, XNOR, LEFT SHIFT AND RIGHT SHIFT. Based on the values of the select lines received from the Ring Counters, multiple ALU outputs are possible. The processor’s ALU is implemented using Xilinx software, namely the integrated simulator in Xilinx ISE Design Suite 14.2.
计算中的算术逻辑单元是一种组合数字电路,它在数学上和位上对整数、二进制整数进行运算。本文的目的是设计一个使用8位可编程环计数器的ALU,即直环计数器和扭环计数器的组合。它接受两个4位二进制数,执行ALU操作并输出结果。最后,从各个方面比较了环计数器之间ALU的性能。ALU对两个4位值执行一些算术和逻辑运算,包括加、减、逻辑与、或、异或、左移和右移。根据从环形计数器接收到的选择线的值,可以有多个ALU输出。处理器的ALU是使用Xilinx软件实现的,即Xilinx ISE Design Suite 14.2中的集成模拟器。
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引用次数: 0
Design and analysis of PV-DVR For Interconnected Wind System Using Fuzzy Logic Controller 基于模糊控制器的互联风电系统PV-DVR设计与分析
Manne Praful Yadav, P. Sujatha, P. B. Kumar
This paper examines the advantage of PV-DVR system on wind farm system fed to infinite bus system to compensate for various voltage variation with different faults conditions and to improve Total Harmonic Distortion during the mitigation of unbalance in the system. A wind farm management system is connected to grid is consider and analyzed issue related to voltage sag/swell. Later on, application of dynamic voltage restorer tried to improves system voltage profile by regulation various controllers with different fault conditions. Compensation depends on PI and Fuzzy logic Controller (Mamdani) are evaluated. With broad investigation under various faults and load sided conditions are performed utilizing the shortcoming of generator. Examination of simulation results of DVR works better with Fuzzy logic controller then PI control. Representation of DVR at different load conditions and the importance of injection transformer are likewise discussed when Grid connected to wind farm management system with different wind conditions. The reproducibility of these controllers is thoroughly verified using MATLAB/Simulink and results demonstrated.
本文研究了PV-DVR系统在风电场无限母线供电系统中补偿不同故障条件下的各种电压变化和改善系统不平衡时总谐波畸变的优势。考虑并分析了风电场并网管理系统中电压跌落/膨胀的相关问题。随后,动态电压恢复器的应用试图通过调节不同故障条件下的各种控制器来改善系统电压分布。补偿依赖于PI和模糊逻辑控制器(Mamdani)。利用发电机的缺点,在各种故障和负载条件下进行了广泛的研究。仿真结果表明,模糊控制器比PI控制效果更好。讨论了电网接入不同风况风电场管理系统时,DVR在不同负荷工况下的表示及注入式变压器的重要性。使用MATLAB/Simulink对这些控制器的再现性进行了彻底验证,并对结果进行了演示。
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引用次数: 0
Performance Analysis of UFMC for 5G Technologies with Different Channel Coding Techniques 5G不同信道编码技术下UFMC性能分析
Gopal K Sharma, R.K. Arya, Vineeta Saxena Nigam
The main challenges facing Fifth Generation (5G) wireless networks include achieving higher spectral efficiency, enabling massive connectivity, and increasing throughput. One critical parameter in designing the physical layer of the 5G wireless system to overcome these challenges is selecting a suitable Multi-Carrier Waveform (MCW). Based on the literature, the Universal Filtered Multi-Carrier (UFMC) technique appears to be a more prominent MCW candidate due to its lower complexity and better utilization of the frequency spectrum. This paper presents simulations of UFMC system over the Rayleigh fading channel with the application of various error correcting codes for different Quadrature Amplitude Modulation (QAM) techniques. The performance of the UFMC system is analyzed for both Peak-to-Average Power Ratio (PAPR) and Bit Error Rate (BER).The results section demonstrates improvements in the performance of UFMC system with the application of convolution code and Reed-Solomon (RS) code.
第五代(5G)无线网络面临的主要挑战包括实现更高的频谱效率、实现大规模连接和提高吞吐量。设计5G无线系统物理层以克服这些挑战的一个关键参数是选择合适的多载波波形(MCW)。基于文献,通用滤波多载波(UFMC)技术由于其较低的复杂性和更好的频谱利用率而成为更突出的MCW候选技术。本文对瑞利衰落信道下的UFMC系统进行了仿真,并应用了不同正交调幅(QAM)技术下的各种纠错码。从峰值平均功率比(PAPR)和误码率(BER)两方面分析了UFMC系统的性能。结果部分演示了使用卷积码和Reed-Solomon (RS)码对UFMC系统性能的改进。
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引用次数: 1
Named Entity Recognition using Multiple Smaller LSTM in Parallel Recurrent Neural Networks 并行递归神经网络中基于多个小LSTM的命名实体识别
P. Suhas Reddy, Dheeraj Sai Madhalam, Pavan Kumar Kundeti
In recent years, End-to-End NER with Bidirectional Long-Short-Term Memory (BiLSTM) has attracted increasing attention. However, it remains a great challenge for BiLSTM to have parallel computing, extensive dependencies, and single-function spatial mapping. We propose a deep neural network model based on a parallel computing self-attention mechanism and parallel recurrent neural networks to address these problems. We only use a small amount of BiLSTM to capture the time series of texts and then we use the self-care mechanism, which allows parallel calculations to capture wide-range dependencies.
近年来,具有双向长短期记忆(BiLSTM)的端到端NER受到越来越多的关注。然而,并行计算、广泛的依赖关系和单一功能的空间映射仍然是BiLSTM面临的巨大挑战。我们提出了一种基于并行计算自注意机制和并行递归神经网络的深度神经网络模型来解决这些问题。我们只使用少量的BiLSTM来捕获文本的时间序列,然后我们使用自我照顾机制,它允许并行计算来捕获大范围的依赖关系。
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引用次数: 0
Design and Implementation of a Buck Converter Based Digitally Controlled Real Time PV Simulator 基于Buck变换器的数控实时光伏模拟器的设计与实现
V. Sukanya, P. V. Akhila, N. Ahammad Fahad, B. Bijukumar
Solar photovoltaic (PV) system is one of the best auspicious non-conventional energy sources. However, the major problems associated with a PV system are its poor efficiency, interaction With other parallel connected systems, high initial cost and reduction in the output power due to partial shading effect and difficulty in tracking the maximum power point (MPP). To solve these issues, a comprehensive investigative study is required to analyse the behaviour of the PV systems. Hence, it is important to implement a low-cost test bench set up in the laboratory to replicate the characteristics of the PV panel. This paper presents the design and development of a buck converter based photovoltaic simulator using a High-Speed Reconfigurable Power Electronic Controller (HSRPEC). The proposed technique employs a high-speed FPGA controller to achieve accurate and faster replication of the electrical characteristics of a PV panel. A lookup table approach is used to store the current and voltage values of a PV panel in the HSRPEC’s memory. The simulation and test results show that emulated characteristics are exactly similar to the real characteristics of a PV module.
太阳能光伏(PV)系统是最吉祥的非常规能源之一。然而,与光伏系统相关的主要问题是其效率低,与其他并联系统相互作用,初始成本高,由于部分遮阳效应导致输出功率降低以及难以跟踪最大功率点(MPP)。为了解决这些问题,需要进行全面的调查研究来分析光伏系统的行为。因此,在实验室建立一个低成本的试验台来复制光伏板的特性是很重要的。本文介绍了利用高速可重构电力电子控制器(HSRPEC)设计和开发的基于降压变换器的光伏模拟器。所提出的技术采用高速FPGA控制器来实现准确和更快地复制PV面板的电气特性。在HSRPEC的存储器中,使用查找表的方法来存储PV面板的电流和电压值。仿真和测试结果表明,仿真结果与光伏组件的实际特性非常接近。
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引用次数: 0
AlumNet: A Donation Platform for Alumni 校友网:校友捐款平台
Swati Jadhav, Maitri Vibhute, Sagar Mohite, Dakshata Wasnik, Pratik Yeole, Vineeth Naitam
Blockchain is a revolutionary technique that is becoming increasingly popular for addressing a wide range of security-related issues that are controlled by both the public and private sectors. Charitable organizations are showing an increasing interest in blockchain technology. People have lost faith in charities as a matter of fact of the transactions’ lack of clarity involving donations, which prevents donors from knowing whether their contributions are being used effectively. This paper suggests a decentralized blockchain-based Alumni Network Donation App: AlumNet that will deliver to the target group total transparency, integrity, and access directly. The alumni network is willing to support any purpose, including projects, conferences, etc., through this platform. It is focused upon the blockchain of Ethereum. The smart contract consists of token creation, issue and transfer functions and initially some tokens are provided by the smart contract. This is a totally decentralized system and the donations made are stored onto the blockchain.
区块链是一项革命性的技术,在解决由公共和私营部门控制的广泛安全相关问题方面越来越受欢迎。慈善组织对区块链技术的兴趣越来越大。事实上,人们对慈善机构失去了信心,因为交易中涉及捐款的内容缺乏透明度,这使得捐赠者无法知道他们的捐款是否得到了有效的利用。本文提出了一个去中心化的基于区块链的校友网络捐赠应用程序:AlumNet,它将向目标群体提供完全的透明度、完整性和直接访问。校友网络愿意通过这个平台支持任何目的,包括项目、会议等。它专注于以太坊的区块链。智能合约由令牌创建、发行和转移功能组成,最初一些令牌由智能合约提供。这是一个完全去中心化的系统,捐款被存储在区块链上。
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引用次数: 0
Detecting Deepfakes With ResNext and LSTM: An Enhanced Feature Extraction and Classification Framework 利用ResNext和LSTM检测深度伪造:一种增强的特征提取和分类框架
Rusheek Taviti, Satvik Taviti, Pagala Ajay Reddy, Nandivada Ravi Sankar, Thavisala Veneela, Panagatla Baltej Goud
With the growing availability of advanced editing tools and machine learning algorithms, it has become easier to create realistic and compelling deepfake videos, which are altered media content that is deliberately intended to deceive viewers. Deepfakes can have severe societal consequences, ranging from political propaganda to financial fraud, and they offer significant challenges for content authentication and fact-checking. This paper proposes an AI based technique which uses ResNext CNN and in combination with LSTM classifier to authenticate a video based on various visual features. The accuracy of this model is calculated at various sequence lengths for different datasets, and it is observed that the accuracy of this model rose with sequence length when testing it on various sequence lengths, and it almost begins to stabilize from the sequence length of 60.
随着先进编辑工具和机器学习算法的日益普及,制作逼真且引人注目的深度假视频变得更加容易。深度假视频是经过修改的媒体内容,故意欺骗观众。深度造假可能产生严重的社会后果,从政治宣传到金融欺诈,它们为内容认证和事实核查带来了重大挑战。本文提出了一种基于AI的技术,该技术使用ResNext CNN并结合LSTM分类器对基于各种视觉特征的视频进行认证。对不同的数据集在不同的序列长度下计算了该模型的精度,在不同的序列长度上进行测试,发现该模型的精度随着序列长度的增加而上升,从序列长度为60开始,该模型几乎开始趋于稳定。
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引用次数: 0
Hybrid-optimized PI Controller With SEPIC Converter in PV-Based Grid-Integrated Electric Vehicle 基于pv的并网电动车中带SEPIC变换器的混合优化PI控制器
Ananda Babu Kancherla, N.Bhanu Prasad, D. Kishore
Electric vehicles (EVs), which assist sustainable transportation while minimising carbon emissions, have recently attracted a lot of interest. Utilizing EVs powered by photovoltaics (PV) significantly minimises the amount of carbon dioxide emitted into the atmosphere. The DC-DC SEPIC converter receives the PV output first, and gives output as high dc output voltage with low switching loss, and a non-inverting output. A hybrid Grey wolf optimization-Particle Swarm Optimization (GWO-PSO) based Proportional Integral (PI) controller is used to manage the performance of the SEPIC converter in order to ensure a steady DC voltage for the three phase Voltage Source Inverter (3-Ø VSI).The EV’s run by BLDC motor is powered by the 3-Ø VSI output. During the day, the EV application may run on power from the PV however, at night, when the sun is not shining, the BLDC motor needs power from the grid. This system is linked to the grid via a 1-Ø VSI. The efficiency of the hybrid GWO-PSO algorithm PI Controller is 96% which is verified using MATLAB Simulation.
电动汽车(ev)有助于可持续交通,同时最大限度地减少碳排放,最近引起了很多人的兴趣。利用由光伏发电(PV)驱动的电动汽车可以显着减少排放到大气中的二氧化碳量。dc - dc SEPIC变换器首先接收PV输出,输出为高直流输出电压,低开关损耗,无反相输出。为了保证三相电压源逆变器(3-Ø VSI)的直流电压稳定,采用混合灰狼优化-粒子群优化(GWO-PSO)的比例积分(PI)控制器对SEPIC变换器的性能进行控制。电动汽车由无刷直流电机运行,由3-Ø VSI输出供电。在白天,电动汽车应用程序可以从光伏供电,但在晚上,当太阳没有照耀,无刷直流电机需要从电网供电。该系统通过1-Ø VSI连接到电网。混合GWO-PSO算法PI控制器的效率为96%,并通过MATLAB仿真进行了验证。
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引用次数: 0
Linearly Polarized Dual Band Smart Antenna for Wi-Fi and Wi-MAX Applications 用于Wi-Fi和Wi-MAX应用的线极化双频智能天线
M. Chandrasekhar, P. UdayKiranRay, J. Laxmi Lahari, A. Sahithi Priya, Ch. Jyoshna, M. Suneel Raja
The design of a dual band patch antenna is with an arced H shaped slot for wireless applications, like Wi-Fi and Wi-MAX is introduced. To Figure out how the performance of the antenna is controlled and operated, a systematic parametric analysis is done on the newly designed microstrip smart antenna. The design and simulations of this antenna are done using Ansys HFSS software. The designed antenna operates at 2.4GHz with a reflection coefficient of -23.34 dB and 5.29GHz with a reflection coefficient of-32.5dB for Wi-Fi and WiMAX applications respectively.
介绍了一种双频贴片天线的设计,该天线具有弧形的H型槽,适用于无线应用,如Wi-Fi和Wi-MAX。为了弄清天线的性能控制和操作方法,对新设计的微带智能天线进行了系统的参数分析。利用Ansys HFSS软件对该天线进行了设计和仿真。设计的天线工作在2.4GHz,反射系数为-23.34 dB; 5.29GHz,反射系数为-32.5dB,分别适用于Wi-Fi和WiMAX应用。
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引用次数: 0
期刊
2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT)
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