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DC-Linked Feedback Compensated Shunt Active Harmonic Filter for Traction Power Supply Substation Medium Voltage Line 牵引供电变电站中压线路直流反馈补偿并联有源谐波滤波器
Pub Date : 2021-11-27 DOI: 10.1109/i-PACT52855.2021.9696563
Jian Teck Hau, R. Tan, Jing En Chin
A modern DC electric railway traction power supply system consists of a twelve-pulse rectifier which will cause 11th and 13th order harmonics to be injected into the power system. A shunt active harmonic filter (SAHF) is proposed to mitigate the harmonics at medium voltage (MV) line. SAHF control strategy usually consists of three core elements which include reference current generation, DC-link feedback control, and current control and gate signal generation. This paper proposed a distinct time domain-based control strategy with DC-linked feedback reference current compensation method which has a simple topology, low mathematical complexity, and fast response time. Detailed performance analysis of SAHF is carried out in the parameter selection process whereby the effects of each parameter are discussed. The implementation of SAHF in traction power supply substation (TPSS) is simulated using MATLAB/Simulink. The harmonic analysis result has shown the effectiveness of the proposed SAHF in reducing THDv, TDDi, 11th order IHDi, and 13th order IHDi of TPSS MV line to levels lower than 4.61%, 1.03%, 0.96%, and 0.67% respectively which are compliant with the limits recommended by IEEE std. 519–2014.
现代直流电气化铁路牵引供电系统由一个十二脉冲整流器组成,它将产生11次和13次谐波注入电力系统。提出了一种并联有源谐波滤波器(SAHF)来抑制中压(MV)线路的谐波。SAHF控制策略通常由参考电流产生、直流链路反馈控制、电流控制和栅极信号产生三个核心要素组成。本文提出了一种基于不同时域的控制策略,采用直流链接反馈参考电流补偿方法,具有拓扑简单、数学复杂度低、响应时间快等优点。在参数选择过程中,对SAHF进行了详细的性能分析,讨论了各参数的影响。利用MATLAB/Simulink对该系统在牵引供电变电所中的实现进行了仿真。谐波分析结果表明,该方法可有效降低TPSS中压线路的THDv、TDDi、11阶IHDi和13阶IHDi,分别低于4.61%、1.03%、0.96%和0.67%,符合IEEE std. 519-2014推荐限值。
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引用次数: 1
Reliability Assessment of Lightning Protection of Renaissance Architecture Based Heritage Church in India Using Electrogeometric Methods 基于电几何方法的印度文艺复兴建筑遗产教堂防雷可靠性评估
Pub Date : 2021-11-27 DOI: 10.1109/i-PACT52855.2021.9696880
Srisailam Sreedhar, V. Srinivasan, Arulmozhivarman P, T. Selvaraj
With growing concerns due to climate change, lightning has become a perceptible natural disaster that has triggered large-scale damages to tall structures, including heritage monuments. Several researchers have implemented and utilized various methods of Lightning Protection Systems (LPS) to safeguard the structures from direct lightning strokes. However, several occurrences of damages caused due to lightning strokes on heritage monuments and structures of significance continue to be reported worldwide. The main objectives of this research are to analyze the adequacy and reliability of the existing LPS installed in a famous ‘renaissance architecture’ heritage church i.e., Sé Cathedral, Goa and carry out detailed lightning protection studies for gable roofs using variants of electro-geometric methods. Further, recommendations are summarized wherein locations of critical points of strikes to the structure from direct lightning strikes are identified to avoid consequent damages.
随着人们对气候变化的担忧日益增加,闪电已经成为一种可感知的自然灾害,它已经引发了包括遗产纪念碑在内的高层建筑的大规模破坏。一些研究人员已经实施并利用了各种防雷系统(LPS)的方法来保护结构免受直接雷击。然而,在世界范围内,仍有几起因雷击而造成遗产纪念碑和重要建筑物损坏的报道。本研究的主要目的是分析安装在著名的“文艺复兴建筑”遗产教堂(即果阿的s大教堂)中的现有LPS的充分性和可靠性,并使用各种电几何方法对山墙屋顶进行详细的防雷研究。此外,总结了建议,其中确定了直接雷击对结构的关键点位置,以避免随之而来的损害。
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引用次数: 0
Fake Product Identification with the Help Of Block Chain Technology 借助区块链技术实现假冒产品识别
Pub Date : 2021-11-27 DOI: 10.1109/i-PACT52855.2021.9696859
S. Kalpana Devi, K. Samy Durai, Karthik M Shri Balaji, J. Ravi Kumar
Blockchain has gotten a lot of publicity recently, and there are a lot of applications that have come out of it. The cryptocurrency, Bitcoin is a well-known Blockchain technology which effectively solves the double-spending issue, can validate the validity of transactional history without depending on a centralised framework to do the same. As a result, the application which uses Blockchain technology as its foundation guarantees that the data is tamper-free. The paper employs a decentralised Blockchain based proposal to verify that customers do not solely depend on retailers to decide whether or not goods are original. We define a decentralised Blockchain framework without fake goods, so that producers can use it to produce legitimate products without directly handling stores, lowering product quality assurance costs significantly.
区块链最近得到了很多宣传,并且有很多应用程序都是从它出来的。加密货币比特币是一种著名的区块链技术,它有效地解决了双重支出问题,可以验证交易历史的有效性,而不依赖于集中的框架来做同样的事情。因此,以区块链技术为基础的应用程序可以保证数据不被篡改。该论文采用了一种去中心化的基于区块链的提议,以验证客户并不完全依赖零售商来决定商品是否是原创的。我们定义了一个没有假货的去中心化区块链框架,这样生产者就可以使用它来生产合法产品,而无需直接与商店打交道,大大降低了产品质量保证成本。
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引用次数: 1
A Study on Energy Efficiency of Agriculture Pumpsets in India 印度农业水泵机组能源效率研究
Pub Date : 2021-11-27 DOI: 10.1109/i-PACT52855.2021.9696470
S. Manoharan, V. Govindaraj, P. Palpandian, G. Sureshkumaar, B. Mahalakshmi
In India, there is an increasing demand for electrical energy to meet irrigation needs. Many states electrical utilities have been experiencing severe power outages, causing farmers to become dissatisfied. It has been observed that underground water levels have dropped dramatically over the last few decades, while cultivated land has increased due to forest clearing. As a result, demand for electrical energy for irrigation is increasing. Agriculture receives free electricity in many Indian states. So, despite the fact that there is a lot of savings potential in pump sets, the poor farmer has no interest in replacing inefficient pump sets, incorporating capacitors, or spending money on existing pump sets other than rewinding burnout motors, etc. Subsidized or free power greatly encourages this mindset to choose a slightly more expensive efficient pump set. This paper examines the various factors that can impact a pump set's efficiency, as well as initiatives undertaken by the Indian government to improve energy efficiency in the agricultural sector. The article also discusses obstacles/difficulties encountered while replacing inefficient pump sets with energy efficient pump sets, as well as policy recommendations for improving overall efficiency in this sector.
在印度,为了满足灌溉需求,对电能的需求不断增加。许多州的电力公司都经历了严重的停电,导致农民感到不满。据观察,在过去的几十年里,地下水位急剧下降,而由于森林砍伐,耕地增加了。因此,灌溉对电能的需求正在增加。在印度的许多邦,农业可以获得免费电力。因此,尽管泵组有很多节省的潜力,但贫穷的农民没有兴趣更换效率低下的泵组,合并电容器,或者在现有的泵组上花钱,而不是重新绕组耗尽的电动机等。补贴或免费电力极大地鼓励了这种心态,即选择稍微贵一点的高效泵组。本文考察了可能影响泵组效率的各种因素,以及印度政府为提高农业部门的能源效率而采取的举措。本文还讨论了用节能泵机组取代低效泵机组时遇到的障碍/困难,以及提高该部门整体效率的政策建议。
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引用次数: 1
Non-Invasive IoT-Based Anaesthesia Control System 无创物联网麻醉控制系统
Pub Date : 2021-11-27 DOI: 10.1109/i-PACT52855.2021.9696586
Raghav Khattar, S. Srinivas, A. Sharmila, S. Balaganapathy
In this paper, we present the design, implementation and the authentication of a novel Internet of Things (IoT) Anaesthesia drug control system for the online continuous and mutinous controlling of Anaesthesia drugs by detecting two vital body parameters, i.e., body temperature and pulse rate. The mentioned complete system comprises a NodeMCU based control system that drives and reads out the signal from the sensors. When the sensors sense readings of heart rate, body temperature and sweat from the patient's body, which are out of the normal range, the system is designed to drive the servomotor and hence control the Anaesthesia drugs injection in the body according to the patient's current state. The IoT network is upheld by a Cloud framework, which permits the specialist to monitor all the patient's information through Ubidots Cloud. The real time readings of the body parameters of the patient and the position of servo motor, hence the status of the Anaesthesia drug delivery is sent to the hospital cloud from where an anesthetist can observe the readings. If abnormal body temperature and heart rate is observed, the concerned personnel are alerted. Anaesthesia delivery is stopped until the state of the patient becomes normal. The approval closes with the check that this framework effectively works for the concurrent observing and controlling of sedation and the system is turned off manually with a switch. This work is focused on automating the process of Anaesthesia delivery and making the process more economical and efficient.
本文介绍了一种新型的物联网麻醉药物控制系统的设计、实现和认证,该系统通过检测体温和脉搏这两个重要的身体参数,实现对麻醉药物的在线连续和可变控制。上述完整的系统包括一个基于NodeMCU的控制系统,该系统驱动并读取来自传感器的信号。当传感器感知到患者身体的心率、体温和汗液等读数超出正常范围时,系统就会驱动伺服电机,从而根据患者的当前状态控制注射到体内的麻醉药物。物联网网络由云框架支撑,专家可以通过Ubidots Cloud监控患者的所有信息。病人身体参数的实时读数和伺服电机的位置,从而麻醉给药的状态被发送到医院云,麻醉师可以从那里观察读数。如果观察到异常的体温和心率,有关人员将得到警报。麻醉分娩停止,直到病人的状态恢复正常。通过检查该框架有效地用于镇静的并发观察和控制,并通过开关手动关闭系统,批准结束。这项工作的重点是麻醉交付过程的自动化,使过程更加经济和高效。
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引用次数: 0
Natural Scene Text to Voice Signal Conversion for Visually Impaired using Deep Neural Network 基于深度神经网络的视障自然场景文本到语音信号的转换
Pub Date : 2021-11-27 DOI: 10.1109/i-PACT52855.2021.9696523
R. Kapoor, M. Sushama, Bhavani Reddy Andem, Akhila Sri Phani Sai Sindhura S.
The deep neural network architectures can be utilized to detect and recognize the text in natural or camera images. If this text can be converted to voice signals it will be very helpful for persons with partial or no vision. Selective search-based segmentation along with VGG architecture of Deep neural networks is utilized in this work for text detection. The Py-Tesseract Optimal character recognizer is then utilized for recognizing the detected text, which is then converted to voice signals. The system can beneficial for recognizing road side or corridor boards, thus adding some independence to the life of people with special needs. The system can be modified with a search mode for a particular text in the nearby location.
深度神经网络架构可以用来检测和识别自然图像或相机图像中的文本。如果这段文字可以转换成语音信号,这将对有部分视力或没有视力的人非常有帮助。本文利用深度神经网络的VGG结构和选择性搜索分割来进行文本检测。然后利用Py-Tesseract最优字符识别器来识别检测到的文本,然后将其转换为语音信号。该系统有助于识别路边或走廊板,从而为有特殊需要的人的生活增加一些独立性。该系统可以修改为在附近位置的特定文本的搜索模式。
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引用次数: 0
Comparison of 32-bit ALU for Reversible Logic and Irreversible Logic 可逆逻辑与不可逆逻辑的32位ALU比较
Pub Date : 2021-11-27 DOI: 10.1109/i-PACT52855.2021.9696935
S. Nagaraj, B. Krishna, Botta Chakradhar, Debanjan Sarkar
Semiconductor devices has been undergoing large improvement in terms of performance, speed of the device because of large scaling of devices, simultaneously the power dissipation has been one of the major concern. As the scaling of device has been reached its limits the break through could be the emerging technology i.e., Reversible computing in VLSI industry. As this technology has zero power dissipation, this is a major advantage in the reversible logic circuits. The ALU is major component in the system and it is used in the applications such as computers, mobiles, and calculators. The 32 Bit arithmetic logic unit is designed using Verilog Hardware Description Language with operations such as AND logic, OR logic, FullAdder using One bit ALU. The reversible ALU can work fast as compared with irreversible ALU. Reversible logic gates decreases power dissipation, delay and area. So reversible gates are used in VLSI design techniques. This paper presents an ALU designed of reversible logic gates using Toffoli, Fredkin, and Peres Gate which replaces the AND and OR gate for each one bit ALU. All the logics are performed using the softwares Modelsim Altera 6.3g and the synthesis using Xilinx ISE 14.7. The designed ALU using reversible logic reduces the area about 34% and delay about 48.91%.
由于器件的规模化,半导体器件在性能、速度等方面都有了很大的提高,同时其功耗也一直是人们关注的主要问题之一。随着器件的规模已经达到极限,突破口可能是超大规模集成电路行业的新兴技术,即可逆计算。由于该技术具有零功耗,这是可逆逻辑电路的主要优势。ALU是系统的主要组成部分,主要用于计算机、手机、计算器等应用。采用Verilog硬件描述语言设计32位算术逻辑单元,采用1位ALU实现与逻辑、或逻辑、全阶梯等运算。与不可逆ALU相比,可逆ALU工作速度快。可逆逻辑门降低功耗,延迟和面积。因此,可逆门被用于超大规模集成电路的设计技术中。本文提出了一种采用Toffoli门、Fredkin门和Peres门设计的可逆逻辑门的ALU,它代替了每个位ALU的与或门。所有的逻辑都是使用Modelsim Altera 6.3g软件执行的,合成使用Xilinx ISE 14.7。采用可逆逻辑设计的ALU可减少约34%的面积和48.91%的延迟。
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引用次数: 1
Approximation of Time-Delay Systems Using Curve Fitting Technique 用曲线拟合技术逼近时滞系统
Pub Date : 2021-11-27 DOI: 10.1109/i-PACT52855.2021.9696965
Kishore Bingi, B. Prusty
This paper focuses on developing an analytical model for rational approximation of time-delay systems. The proposed model's attractiveness is in its simplicity and ease of implementation. The technique uses frequency response data of the pure time-delay model during the least square iteration while minimizing the Levy's cost function. The step-response characteristics of the proposed method have shown the best performance on various integer and fractional-order time-delay systems compared to the frequently used Padé approach. The numerical analysis in integral absolute error has further confirmed the best result of the proposed technique. This is true for all the considered integer and fractional-order time-delay systems.
本文主要研究时滞系统的合理逼近的解析模型。该模型的吸引力在于它的简单性和易于实现。该方法利用纯时滞模型的频响数据进行最小二乘迭代,同时使Levy代价函数最小化。与常用的pad方法相比,该方法的阶跃响应特性在各种整数阶和分数阶时滞系统上表现出最好的性能。在积分绝对误差下的数值分析进一步证实了该方法的最佳效果。这对所有考虑的整数阶和分数阶时滞系统都成立。
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引用次数: 0
Comparative Analysis of Various Classification Models on Disease Symptom Prediction Dataset 疾病症状预测数据集上各种分类模型的比较分析
Pub Date : 2021-11-27 DOI: 10.1109/i-PACT52855.2021.9696588
Shubhi Rawat, Damini Kashyap, Aman Kumar, Gopal Rawat
Data segregation is a vital task to label the class of data. Attributes are part of knowledge working in a math task. In this paper, we report the comparative study of various classifiers, i.e., K-Nearest Neighbor (K-NN), Decision Tree, Nave Bayes, Support Vector Machine (SVM) and Random Forest, analyze that which classifier works well beneath what conditions. For this purpose, medical datasets, i.e., UCI datasets have been selected. The performance of these classifiers have been evaluated in terms of Recall, Precision, Accuracy, and F1-Score. The accuracy for Decision Tree, K-NN, Nave Bayes, SVM and Random Forest, are observed to be 95.85%, 100%, 100%, 87.46% and 98.32%, respectively. The present study illustrates that the K-NN and Nave Bayes classifiers outperformed as compared to Decision Tree, SVM and Random Forest. Therefore, KNN and Nave Bayes classifiers can be used in automatic ailment and ascertaining diseases detection.
数据分离是标记数据类别的一项重要任务。属性是在数学任务中工作的知识的一部分。在本文中,我们报告了各种分类器的比较研究,即k -最近邻(K-NN),决策树,中贝叶斯,支持向量机(SVM)和随机森林,分析哪种分类器在什么条件下工作良好。为此,选择了医疗数据集,即UCI数据集。这些分类器的性能已经在召回率,精度,准确性和F1-Score方面进行了评估。决策树、K-NN、Nave Bayes、SVM和Random Forest的准确率分别为95.85%、100%、100%、87.46%和98.32%。目前的研究表明,与决策树、支持向量机和随机森林相比,K-NN和朴素贝叶斯分类器的表现更好。因此,KNN分类器和朴素贝叶斯分类器可以用于自动疾病检测和确定疾病。
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引用次数: 0
New Approach to Detect Replay Attack for Speaker Verification System Using High Frequency Features and ELM Based BiLSTM 利用高频特征和基于ELM的BiLSTM检测说话人验证系统重放攻击的新方法
Pub Date : 2021-11-27 DOI: 10.1109/i-PACT52855.2021.9696930
B. K. P., Derick Mathew, R. C, R. M.
Replay attack is vulnerable to automatic speaker verification system, where the frauds get the access by replaying the pre-recorded speech utterances of the genuine speakers. In this proposed work, we mainly concentrated on high frequency band and classification part. This paper shows the importance of higher frequency band (6 kHz to 8 kHz). The huge difference between genuine and spoofed speech spectrum is also explained which is caused due to imperfection occurred by using multiple anti-aliasing filters. Alongside, Constant-Q Cepstral Coefficients (CQCC) technique is used to extract magnitude discrimination power features set to detect the replayed spoof attack for speaker verification. Further the ELM based BiLSTM is proposed to improve the system performance. The proposed framework shows better results of Equal Error Rate (EER) to 05.26% for development set and 8.44% for evaluation set.
重播攻击容易受到自动说话者验证系统的攻击,骗子通过重播真实说话者预先录制的语音来获得访问权限。在本文提出的工作中,我们主要集中在高频段和分类部分。本文说明了高频段(6khz至8khz)的重要性。本文还解释了由于使用多个抗混叠滤波器而产生的不完美导致的真实语音频谱和欺骗语音频谱之间的巨大差异。此外,使用恒q倒谱系数(CQCC)技术提取幅度辨别功率特征集,以检测重放欺骗攻击,用于说话人验证。进一步提出了基于ELM的BiLSTM来提高系统性能。该框架的开发集和评价集的等错误率(EER)分别为05.26%和8.44%。
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引用次数: 1
期刊
2021 Innovations in Power and Advanced Computing Technologies (i-PACT)
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