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A Novel High Computing Power Efficient VLSI Architectures of Three Operand Binary Adders 一种新型的三操作数二进制加法器VLSI结构
Pub Date : 2023-06-30 DOI: 10.35940/ijeat.e4188.0612523
Chintam KavithaShravan, Sai Krishna Marri, Rapolu Saidulu, Panchareddy Tejasvey, Sai Radha Krishan G
Directly or indirectly adders are the basic elements in almost all digital circuits, three operand adders are the basic building blocks in LCG (Linear congruential generator) based pseudo-random bit generators. Elementary adders are fast, area and power efficient for small bit sizes. Carry save adder computes the addition in O(n) time complexity, due to its ripple carry stage. Parallel prefix adders such as Han-Carlson compute the addition in O(log(n)) time complexity but at the cost of additional circuitry. Hence new high-speed power-efficient adder architecture is proposed which uses four stages to compute the addition, which consumes less power, and the adder delay decreases to O(n/2). Even though it is not much faster than the High-speed Area efficient VLSI architecture of three operand adders (HSAT3), it computes the addition by utilizing less power. The proposed architecture is implemented using Verilog HDL in Xilinx 14.7 design environment and it is evident that this adder architecture is 2 times faster than the carry save adder and 1, 1.5, 1.75 times faster than the hybrid adder structure for 32, 64, 128 bits respectively. Also, power utilization is 1.95 times lesser than HSAT3, 1.94 times lesser than the Han-Carlson adder, and achieves the lowest PDP than the existing three operand techniques.
直接或间接加法器是几乎所有数字电路的基本元件,三个操作数加法器是基于线性同余发生器的伪随机位发生器的基本组成部分。初级加法器是快速,面积和功率效率小的位尺寸。进位保存加法器由于其纹波进位阶段,计算加法的时间复杂度为O(n)。并行前缀加法器(如Han-Carlson)在O(log(n))时间复杂度内计算加法,但代价是额外的电路。在此基础上,提出了一种新型的高速高能效加法器结构,该结构采用四阶计算加法器,降低了加法器的功耗,使加法器延迟降至0 (n/2)。尽管它并不比高速区域高效VLSI架构的三个操作数加法器(HSAT3)快多少,但它通过使用更少的功率来计算加法。在Xilinx 14.7设计环境下使用Verilog HDL实现了该结构,结果表明,该加法器结构分别比进位加法器快2倍,比混合加法器结构快1倍、1.5倍、1.75倍,分别为32、64、128位。功耗比HSAT3低1.95倍,比Han-Carlson加法器低1.94倍,并且实现了比现有三种操作数技术最低的PDP。
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引用次数: 0
Selection of Alternative Working Methods using the Crashing and Microsoft Project Methods 选择使用崩溃和微软项目方法的替代工作方法
Pub Date : 2023-06-30 DOI: 10.35940/ijeat.e4130.0612523
Muhammad Djuneydi, Yudi Setio Prabowo, M. O. Mahendra
In carrying out the PPLP Banten Building construction project, it experienced delays. The causes of delays are the addition of time, changes in shop drawings and material delays. Then the solution in theMicrosoft project is an alternative crashing method of 4 hours of overtime and work shifts. The research results obtained 18 jobs that are on the critical path of 43 jobs. The normal total duration is 942 days and the normal fee is Rp. 569.100.000 using AHSP. The results obtained are the total duration of the alternative crashing 4 hours of overtime work is 678 days, while the work shift is 530 days, the AHSP Project produces an alternative total cost of 4 hours overtime of Rp. 3.066.675.000 and work shifts with accident costs of Rp. 1.223.565.000. The alternative cost of 4 hours of overtime using the AHSP project is Rp. 193.067.245,23 and work shifts using the AHSP project of Rp. 33.638.199,58 then the work shift alternative is more economical and was chosen to be applied to the project. The results of the comparison of direct and indirect costs for the 4-hour overtime alternative are direct costs Rp. 9.672.161.032,2 indirect costs Rp. 1.322.728.805,77 and direct costs for work shift alternatives Rp.9.512.731.986,58 costs Rp. 1.273.456.116,78 then the work shift alternative is more economical and is chosen to be applied to the project.
在执行PPLP万腾大厦建设项目时,它经历了延误。延误的原因是时间的增加,车间图纸的变化和材料的延误。那么,微软项目的解决方案是另一种崩溃方法,即4小时的加班和轮班。研究结果显示,在43个工作岗位的关键路径上有18个工作岗位。使用AHSP的正常总持续时间为942天,正常费用为569.10万卢比。结果表明:替代加班4小时总持续时间为678天,班次为530天,AHSP项目产生替代加班4小时总成本为3.066.675.000 Rp,班次事故成本为1.223.565.000 Rp。采用AHSP方案加班4小时的替代成本为Rp. 193.067.245,23,而采用Rp. 33.638.199,58的AHSP方案的替代成本更经济,因此选择该方案应用于该项目。4小时加班替代方案的直接成本和间接成本比较结果为直接成本Rp. 9.672.161.032,间接成本Rp. 1.322.728.805,77,倒班替代方案的直接成本Rp.9.512.731.986,58成本Rp. 1.273.456.116,78,因此倒班替代方案更经济,并被选择应用于该项目。
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引用次数: 0
Development of Power Conditioning Unit for KY Converter in Fuel Cell Power System 燃料电池动力系统中KY变换器功率调节装置的研制
Pub Date : 2023-06-30 DOI: 10.35940/ijeat.e4199.0612523
K. C. Bhuyan, Pushpak Jain, Srutisagar Pattanaik
The world's growing economy and demographic advancement are driving an increase in global energy demand. As worries about carbon emissions grow and the demand for electrical energy production continues to rise, it is necessary to develop new methods of electricity production. Fuel cell energy system is one of the promising factors for addressing this problem due to its low emissions, easy accessibility, and fuel flexibility. In this paper, a mathematical model of Solid Oxide Fuel Cell (SOFC) is designed and used as an input for the KY converter. As the output voltage of the fuel cell is low, a KY Converter is desired to raise the output voltage for required applications. To regulate the electrical output voltage of the KY Converter, PID, Fuzzy Logic Controller (FLC), hybrid fuzzy PID, and an ANFIS feedback control mechanism have been simulated and investigated. The function of a fuel cell with a KY Converter, as well as state-space modelling, is developed. The Ziegler-Nichols technique is used to determine the gain parameters of a PID controller, which are Kp, Ki, and Kd. The fuel cell with a Closed-loop system of KY converter is developed using MATLAB/Simulink software. Thus, the fuel cell power system can be used for a variety of applications, including rural and military.
世界经济的增长和人口结构的进步推动了全球能源需求的增长。随着对碳排放的担忧不断增加,对电力生产的需求不断上升,有必要开发新的电力生产方法。燃料电池能源系统由于其低排放、易获取和燃料灵活性等优点,是解决这一问题的一个有希望的因素。本文设计了固体氧化物燃料电池(SOFC)的数学模型,并将其作为KY变换器的输入。由于燃料电池的输出电压较低,需要KY变换器来提高输出电压以满足所需的应用。为了调节KY变换器的输出电压,对PID、模糊逻辑控制器(FLC)、混合模糊PID和ANFIS反馈控制机制进行了仿真和研究。建立了KY变换器燃料电池的功能和状态空间模型。Ziegler-Nichols技术用于确定PID控制器的增益参数,即Kp, Ki和Kd。利用MATLAB/Simulink软件开发了燃料电池KY变换器闭环系统。因此,燃料电池动力系统可以用于各种应用,包括农村和军事。
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引用次数: 0
Implementation Challenges and Opportunities in the Outcome-Based Education (OBE) for Teaching Engineering Courses: A Case Study 成果导向型教育在工程课程教学中的实施挑战与机遇:个案研究
Pub Date : 2023-06-30 DOI: 10.35940/ijeat.e4133.0612523
Dr. K. Kavitha, K. Karthika
Outcome-based education is a closed-loop control system accepted globally for enhancing the teaching-learning processes. However, the success of the system is not prominently visible in fresh graduates. Hence detailed research and optimal process to implement OBE is necessary. This paper aims to investigate the challenges in implementing Outcome-based education and explores opportunities for improvement. Further, pedagogic planning for the analytical subjects has been proposed and the performance of the proposed method is analyzed using a case study. Performance improvement in Course Outcome attainments of the course Antennas and Wave Propagation, offered for undergraduate engineering (ECE) students have been investigated and evaluated in this paper. The investigation shows that dynamically adapting the teaching-learning and assessment methods during the course based on the assessments of the student’s capabilities results in improved performance. The following changes in the system have been suggested for the optimal implementation of OBE. The CO targets for the current semester course should be fixed based on the CO attainment of the previous semester courses of the same batch instead of the traditional way of fixing CO attainment targets. The microanalysis of the end-semester marks and students’ feedback at the ratio of 5:1 may be considered for overall CO attainment computation at the end of the course.
结果导向教育是一种全球公认的闭环控制系统,用于提高教与学的过程。然而,该系统的成功在应届毕业生中并不明显。因此,有必要进行详细的研究和优化实现OBE的流程。本文旨在探讨实施结果型教育的挑战,并探讨改进的机会。此外,还提出了分析科目的教学计划,并通过案例研究分析了所提出方法的效果。本文对工科本科学生开设的《天线与波传播》课程成果的改进进行了调查和评估。调查表明,在对学生能力进行评估的基础上,在课程中动态调整教学方法和评估方法,可以提高学生的学习成绩。为了实现OBE的最佳实现,建议对系统进行以下更改。本学期课程的CO目标应根据同批次前一学期课程的CO达成情况来确定,而不是传统的设定CO达成目标的方式。期末成绩的微观分析与学生反馈的比例为5:1,可以考虑在课程结束时进行总体CO成绩计算。
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引用次数: 0
Quantum Computers and Algorithms: A Threat to Classical Cryptographic Systems 量子计算机和算法:对经典密码系统的威胁
Pub Date : 2023-06-30 DOI: 10.35940/ijeat.e4153.0612523
Dr. Joshua J. Tom, Dr. Nlerum P. Anebo, Dr. Bukola A. Onyekwelu, Adigwe Wilfred, Richard E. Eyo
Contemporary cryptographic algorithms are resistant to the strongest threats to cybersecurity and high-profile cyber-attacks. In recent times, information security scientists and researchers had developed various cryptographic schemes that defeated attacks using the most sophisticated (in terms of processor speed) classical computer. However, this resistance will soon erode with the arrival of quantum computers. In this paper, we profiled quantum computers and quantum algorithms based on their widely believed threat against currently secure cryptographic primitives. We found that Grover’s and Shor’s quantum-based algorithms actually pose a threat to the continued security of symmetric cryptosystems (e.g. 128-bit AES) and asymmetric (public key) cryptosystems (e.g. RSA, Elgamal, elliptic curve Diffie Hellman (ECDH), etc.) respectively.We discovered that the source of the algorithms’ cryptanalytic power against the current systems, stems from the fact that they (Grover and Shor) both equipped their respective algorithms with a quantum circuit component that can execute the oracle in parallel by applying a single circuit to all possible states of an n-qubit input. With this exponential level of processing characteristic of quantum computers and quantum-based algorithms, it is easy for the current cryptosystems to be broken since the algorithms can existentially solve the underlying mathematical problems such as integer factorization, discrete logarithm problem and elliptic curve problem, which formed the basis of the security of the affected cryptosystems. Based on this realization and as part of our readiness for a post quantum era, we explored other mathematical structures (lattices, hashes, codes, isogenies, high entropy-based symmetric key resistance, and multivariate quadratic problems) whose hardness could surpass the cryptanalytic nightmare posed by quantum computers and quantum-based algorithms. Our contribution is that, based on the findings of this research work, we can confidently assert that all hope is not lost for organizations heavily relying on protocols and applications like HTTPS, TLS, PGP, Bitcoin, etc., which derived their security from the endangered cryptosystems.
当代加密算法能够抵御最强大的网络安全威胁和高调的网络攻击。最近,信息安全科学家和研究人员开发了各种加密方案,使用最复杂(就处理器速度而言)的经典计算机来击败攻击。然而,随着量子计算机的到来,这种阻力很快就会消失。在本文中,我们基于量子计算机和量子算法对当前安全密码原语的普遍威胁进行了分析。我们发现Grover 's和Shor 's基于量子的算法实际上分别对对称密码系统(例如128位AES)和非对称(公钥)密码系统(例如RSA, Elgamal,椭圆曲线Diffie Hellman (ECDH)等)的持续安全性构成威胁。我们发现,算法对当前系统的密码分析能力的来源,源于他们(Grover和Shor)都为各自的算法配备了量子电路组件,该组件可以通过将单个电路应用于n-量子位输入的所有可能状态来并行执行预言。由于量子计算机和基于量子算法的这种指数级处理特性,现有的密码系统很容易被破解,因为这些算法可以存在地解决整数分解、离散对数问题和椭圆曲线问题等潜在的数学问题,这些问题构成了受影响密码系统安全性的基础。基于这一认识,作为我们为后量子时代做好准备的一部分,我们探索了其他数学结构(格、哈希、代码、等基因、基于高熵的对称密钥阻力和多元二次问题),其硬度可能超过量子计算机和基于量子的算法所带来的密码分析噩梦。我们的贡献是,基于这项研究工作的发现,我们可以自信地断言,对于严重依赖HTTPS、TLS、PGP、比特币等协议和应用程序的组织来说,所有的希望都不会消失,这些协议和应用程序的安全性来自于濒危的密码系统。
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引用次数: 0
Data-Based Estimation of the Dynamic Reliability and Performance Indicator of an Industrial Manufacturing System 基于数据的工业制造系统动态可靠性和性能指标估计
Pub Date : 2023-04-30 DOI: 10.35940/ijeat.d4053.0412423
Ondo Boniface, Nasso Toumba Richard, Ombété Tsimi Giscard, Kombé Timothée, Elé Pierre
The aim is to develop a more simple and effective method's performance and dynamic reliability assessment for complex industrial systems. By using the operating data of the industrial system characterized by a strong desynchronization and applying to it prediction algorithms of artificial intelligence applied to the time series, the model will have learned from the behavior of the complex manufacturing system allowing the operator or decision-maker to better orientate the maintenance, production, and quality policies. Furthermore, we propose this approach to avoid tedious mathematical methods related to dynamic reliability calculations and performance evaluation to make forecasts of the company's operation over a long period by identifying future bottlenecks in the system's behavior. The low-performance indicators and irrelevant reliability presented by many third-generation industries are due to the lack of efficient and simple tools for reliability assessment taking into account the dynamic aspect of the different elements of the production chain, maintenance department, production department, and quality department. We propose to develop a model that will abstract from conventional, complex, and inefficient mathematical methods for systems subject to combinatorial explosion problems in the manufacturing industry.
目的是为复杂工业系统的性能和动态可靠性评估提供一种更简单有效的方法。通过使用工业系统的运行数据,并将其应用于时间序列的人工智能预测算法,该模型将从复杂制造系统的行为中学习,使操作员或决策者能够更好地定位维护、生产和质量政策。此外,我们提出这种方法是为了避免与动态可靠性计算和性能评估相关的繁琐的数学方法,通过识别系统行为中的未来瓶颈来预测公司的长期运营。许多第三代产业表现出低绩效指标和不相关的可靠性,这是由于缺乏有效和简单的可靠性评估工具,考虑到生产链、维修部门、生产部门和质量部门的不同要素的动态方面。我们建议开发一个模型,该模型将从传统的、复杂的、低效的数学方法中抽象出来,用于制造工业中受组合爆炸问题影响的系统。
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引用次数: 0
Hybrid Approach to Detect Prolonged Speech Segments 语音长段检测的混合方法
Pub Date : 2023-04-30 DOI: 10.35940/ijeat.d4106.0412423
In the last 10 decades various methods have been introduced to detect prolonged speech segments automatically for stuttered speech signals. However less attention has been paid by researches in the detection of prolongation disorder at the parametric level. The aim of this study is to propose a hybrid approach to detect the prolonged speech segments by combining various spectral parameters with their recognition accuracies for the reconstructed speech signal. The paper presents prolonged segments detection by considering the parameters individually, combining various spectral parameters, validation of prolongation detection system, MFCC feature extraction process, basic model accuracies for the reconstructed signals. The proposed methods are simulated and experimented on UCLASS derived dataset. Obtained results are compared with the existing works of prolongation detection at parametric and word level. It is observed that hybrid parameters yield 92% of recognition rate for larger frame sizes of 200ms when modeled with SVM. The results are also tabulated and discussed for various metrics like sensitivity, specificity and accuracy metrics in detecting the prolonged segments. The study also focuses on the prolongation characteristics of vocalized and non-vocalized sounds at phoneme level. The detection accuracy of 71% is observed for Vocalized prolonged vowel phonemes over non-vocalized prolonged signal. Objectives: The objective of this work is to propose a hybrid algorithm to detect prolonged segments automatically for speech signal with prolongation disorder. The other objective is to evaluate the obtained spectral parameters performances by applying to various evaluation metrics and models to compute the recognition accuracy of a reconstructed signal. The objective is further extended to bring out the importance of variable frame size concept and to analyze the variations in vocalized and non-vocalized sounds. Methods: The methods adopted to detect prolonged speech segments are discussed at two levels namely at the preprocessing and modeling levels. The Preprocessing level is discussed by applying various parameters at an individual level, hybrid level by combing the Centroid, Entropy, Energy, ZCR parameters and MFCC feature extraction method. A new method has been applied using Specificity, Sensitivity and accuracy metrics to validate the prolongation detection model performance. In modeling level, the above parameters are discussed by applying evaluation metrics for the clustering and classification models like K-means, FCM and SVM. The performance of these methods is considered for evaluating and estimating the prolonged segment detection accuracy of the reconstructed speech signals of vocalized and non-vocalized sounds. All these methods are discussed in detail in the following sections. Findings: Hybridizing the spectral parameters to detect the prolonged speech segment automatically is a major finding of this work. It is also found that Sp
在过去的十年里,人们提出了各种方法来自动检测口吃语音信号的延长语音片段。然而,在参数水平上对延长障碍的检测研究却很少受到重视。本研究的目的是结合各种频谱参数及其对重构语音信号的识别精度,提出一种混合检测延长语音片段的方法。本文介绍了分别考虑各参数、结合各频谱参数的延长段检测、延长段检测系统的验证、MFCC特征提取过程、重构信号的基本模型精度。在UCLASS衍生数据集上对所提出的方法进行了仿真和实验。将所得结果与已有的参数级和词级延长检测工作进行了比较。观察到,当使用SVM建模时,混合参数对200ms大帧的识别率达到92%。结果也被制成表格,并讨论了各种指标,如灵敏度,特异性和准确性指标在检测延长段。在音素水平上研究了发声和非发声语音的延长特征。对发声延长元音音素的检测准确率为71%,高于非发声延长音素。目的:本研究的目的是提出一种混合算法来自动检测具有延长障碍的语音信号的延长段。另一个目标是通过应用各种评估指标和模型来评估获得的频谱参数性能,以计算重构信号的识别精度。目的进一步扩展到提出可变帧大小概念的重要性,并分析发声和非发声声音的变化。方法:从预处理和建模两个层面讨论了延长语音片段检测的方法。通过在个体层面应用各种参数,结合质心、熵、能量、ZCR参数和MFCC特征提取方法,讨论了预处理层面。采用特异性、灵敏度和准确性指标对延长检测模型的性能进行了验证。在建模层面,通过K-means、FCM、SVM等聚类和分类模型的评价指标对上述参数进行讨论。考虑了这些方法的性能,评估和估计重构语音信号的发声和非发声的延长段检测精度。下面几节将详细讨论所有这些方法。研究结果:对谱参数进行杂交以自动检测延长的语音片段是本工作的主要发现。我们还发现特异性、敏感性和准确性指标在延长检测模型的设计和验证中起着重要作用。从进一步的实验中发现,当考虑较大的帧长度时,混合和验证度量更适合于发声和非发声声音。我们发现SVM在考虑以上所有因素时表现更好。新颖性:根据文献调查,我们观察到使用个体和少数参数来检测延长。但是,如何应用或组合两个以上的参数来检测延长的语音片段,目前还没有研究。本工作的新颖之处在于在预处理阶段对光谱参数进行选择和组合,以检测延长紊乱。谱质心和熵与ZCR和能量参数是合适的参数。因此,将这些参数混合在一起,提出了一种新颖的自动延长检测系统。应用特异性、灵敏度和准确性指标构建和评价发声和非发声延长音检测系统,带来新颖性。
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引用次数: 1
Credit Card Fraud Detection using Machine Learning 使用机器学习的信用卡欺诈检测
Pub Date : 2023-04-30 DOI: 10.35940/ijeat.d4048.0412423
Sagar Yeruva, Machavolu Sri Harshitha, Miriyala Kavya, Murakonda Sai Deepa Sree, Tumpudi Sri Sahithi
Evolving technologies make human life easier with increasing challenges. Online payments have become an integral part of our lives in the era of digitalization. The credit card payment system has made transactions hassle-free. This led to E-Commerce appraisal. Digitalization of transactions has given rise to new forms of fraud and cyberattacks that can affect individuals and organizations. This had set hackers at a great deal to steal the cardholder details using different schemes. Credit card companies must recognize these fraudulent transactions at the earliest to retain credibility among the stakeholders. Traditional methods of fraud detection have proven ineffective in identifying and preventing these fraudulent activities and cyberattacks in real time. This paper discusses various Machine Learning algorithms that predict fraudulent transactions in real-time. Fraudulent activities are solved using data science and machine learning techniques with substantial processing power and the capacity to manage massive datasets. The model is trained on large volumes of the dataset. This paper emphasizes comparison of various machine learning algorithms' performance over the input. The accuracy and efficiency of several machine learning algorithms are measured and analyzed through tabulation and comparison. The trained model is integrated with a website to categorize financial transactions as either legitimate or fraudulent. On utilizing advanced machine learning algorithms, credit card fraud detection systems have become more refined and accurate in recent years. As a result, financial organizations and customers are protected against such fraudulent activities, leading to increased trust and confidence in utilization credit card payments.
不断发展的技术使人类的生活更容易,挑战也越来越多。在数字化时代,网上支付已经成为我们生活中不可或缺的一部分。信用卡支付系统使交易变得无麻烦。这导致了电子商务评估。交易的数字化导致了新的欺诈和网络攻击形式,可能影响个人和组织。这使得黑客可以使用不同的方案来窃取持卡人的详细信息。信用卡公司必须尽早识别这些欺诈性交易,以在利益相关者中保持信誉。事实证明,传统的欺诈检测方法在实时识别和防止这些欺诈活动和网络攻击方面是无效的。本文讨论了实时预测欺诈交易的各种机器学习算法。利用数据科学和机器学习技术解决欺诈活动,这些技术具有强大的处理能力和管理大量数据集的能力。该模型是在大量数据集上训练的。本文强调了各种机器学习算法在输入上的性能比较。通过制表和比较,对几种机器学习算法的精度和效率进行了测量和分析。经过训练的模型与一个网站相结合,可以将金融交易分类为合法交易或欺诈交易。近年来,利用先进的机器学习算法,信用卡欺诈检测系统变得更加精细和准确。因此,金融机构和客户受到保护,免受此类欺诈活动的侵害,从而增加了对使用信用卡支付的信任和信心。
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引用次数: 0
Performance Analysis of MPPT Algorithms Designed for Photovoltaic System 光伏系统MPPT算法性能分析
Pub Date : 2023-04-30 DOI: 10.35940/ijeat.d4084.0412423
Shobha K P, U. A, Dr. Prasanna Kumar H
The capacity to reap the highest output power in various environmental conditions is one of the most critical tasks in the application of photovoltaic (PV) systems. Although many cutting-edge methods have been developed to accomplish this, the majority of methods have significant drawbacks, for instance, poor tracking capabilities and heavy computational load. Therefore, the aim of this work is to present a control algorithm that takes into account the connection between the solar array output power and the controller's PWM duty cycle of the MPPT boost converter. The proposed customized CNN is implemented in MATLAB/SIMULINK and compared with well known for its performance. The findings demonstrate an increase in the PV system's ability to generate power in any weather, as well as a reduction in the effects of rapid changes in solar irradiation on output power.
在各种环境条件下获得最高输出功率的能力是光伏系统应用中最关键的任务之一。尽管已经开发了许多尖端方法来实现这一目标,但大多数方法都有明显的缺点,例如跟踪能力差和计算负荷大。因此,本工作的目的是提出一种控制算法,该算法考虑了太阳能阵列输出功率与MPPT升压转换器控制器的PWM占空比之间的联系。本文提出的自定义CNN在MATLAB/SIMULINK中实现,并与已有的CNN进行了性能比较。研究结果表明,光伏系统在任何天气下发电的能力都有所提高,同时也减少了太阳辐射快速变化对输出功率的影响。
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引用次数: 0
Mechanical Investigation of S-Glass/Carbon Fibers Reinforced Epoxy Polymer Matrix Composites s -玻璃/碳纤维增强环氧聚合物基复合材料力学性能研究
Pub Date : 2023-04-30 DOI: 10.35940/ijeat.d4051.0412423
S. B, D. Keerthiprasad, D. Divakar, Dr. Savitha M, Allwin Yesuvadian R
Fiber-based hybrid composite materials are used for variety of industrial purposes going on from automotive to many engineering fields such as structural, aerospace because of unique properties compared over conventional materials. Fiber based hybrid composites have greatly long-drawn-out o varying applications in today's automotive industry reason behind is due their light weight, high strength, stiffness and ease of repair. This work aims to create a novel type of hybrid composite made by reinforcing S-glass (satin type) & carbon (twill form) in an epoxy matrix. Pure and hybrid composites are made by manual laying with 0° orientation of each fiber layer and the action has been tested with different combinations of each layer of S-glass and carbon and finally with a hybrid subjected to different mechanical stresses. The fiber matrix for the hybrid is created in a 50:50 ratio. Pure samples of fiberglass and carbon fiber-epoxy composites were compared to hybrid samples. The results showed that the hybrid samples outperformed the pure forms of the composite in mechanical tests, due to the presence of carbon fiber on the end faces of the sample, which offers the hybrid form's superior mechanical properties.
纤维基混合复合材料由于其与传统材料相比的独特性能,被用于从汽车到许多工程领域(如结构、航空航天)的各种工业用途。纤维基混合复合材料在当今汽车工业中有着广泛的应用,其背后的原因是其重量轻,强度高,刚度高,易于维修。这项工作旨在创造一种新型的混合复合材料,由增强s型玻璃(缎面型)和碳(斜纹型)在环氧基体中制成。纯复合材料和杂化复合材料是通过手工铺设,每层纤维0°取向,并通过s -玻璃和碳的每层不同组合,最后与混合材料经受不同的机械应力的作用进行了测试。混合纤维基质以50:50的比例创建。将玻璃纤维和碳纤维环氧复合材料的纯样品与混杂样品进行了比较。结果表明,由于样品端面上存在碳纤维,杂化样品的力学性能优于纯复合材料,这使得杂化样品具有优越的力学性能。
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引用次数: 0
期刊
International Journal of Engineering and Advanced Technology
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