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2019 International Conference on Power Electronics, Control and Automation (ICPECA)最新文献

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Implementation of an Efficient N× N Multiplier Based on Vedic Mathematics and Booth-Wallace Tree Multiplier 基于Vedic数学和Booth-Wallace树乘法器的高效nxn乘法器的实现
Pub Date : 2019-11-01 DOI: 10.1109/ICPECA47973.2019.8975673
A. Jain, Somya Bansal, Shaheen Khan, S. Akhter, Saurabh Chaturvedi
The paper presents the HDL implementation of a novel multiplier algorithm based on the combination of Vedic mathematics and Booth-Wallace tree multiplier. An $8 times 8$ multiplier is implemented in VHDL. The HDL code is simulated and synthesized using ModelSim and Xilinx ISE 14.1, respectively. The performance parameters of 8-bit multipliers implemented using various algorithms are compared in this paper. The comparison results exhibit that the proposed algorithm is faster than other multiplier algorithms.
本文提出了一种基于吠陀数学和布斯-华莱士树乘法器相结合的新型乘法器算法的HDL实现。一个$8 乘以8$乘法器在VHDL中实现。HDL代码分别使用ModelSim和Xilinx ISE 14.1进行模拟和合成。本文比较了不同算法实现的8位乘法器的性能参数。对比结果表明,该算法比其他乘法器算法速度更快。
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引用次数: 7
Mechanism and Optimization of Acoustic Power Transfer Systems 声能量传递系统的机理与优化
Pub Date : 2019-11-01 DOI: 10.1109/ICPECA47973.2019.8975391
Ariba Siddiqui, Amber Khan
The need for bio-implantable devices is increasing day by day, however the charging of these devices is a major issue. As a result, wireless techniques of power transfer are developed recently to power these implants wirelessly and to eliminate the need of charging the batteries. In this paper, various techniques of power transfer viz., inductive-power transfer, RF power-transfer and acoustic power-transfer are compared first. The main focus in this paper is done on the acoustic power transfer methodology due to its advantages over inductive and RF power transfer. The mechanism and design challenges of the acoustic power transfer techniques are discussed. The acoustic pressure is calculated at different frequencies. Based on the various factors like transducer size, tissue-attenuation and Rayleigh-distance which are affected by the frequency; a best optimum frequency is chosen to compress the size of the device and augment the amplitude of the pressure wave. The simulations were done in MATLAB and COMSOL softwares. PZT-5H transducer is selected due to its high quality factor and high electromechanical coupling.
对生物植入设备的需求日益增加,然而这些设备的充电是一个主要问题。因此,最近开发了无线电力传输技术,以无线方式为这些植入物供电,并消除了对电池充电的需要。本文首先比较了各种功率传输技术,即感应功率传输、射频功率传输和声学功率传输。由于声功率传输方法优于感应功率传输和射频功率传输,因此本文主要关注声功率传输方法。讨论了声功率传输技术的原理和设计挑战。计算了不同频率下的声压。基于频率对换能器尺寸、组织衰减和瑞利距离等因素的影响;选择一个最佳频率来压缩装置的尺寸和增大压力波的振幅。在MATLAB和COMSOL软件中进行了仿真。选用PZT-5H换能器,质量因数高,机电耦合高。
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引用次数: 2
A Review of Omega Based Portfolio Optimization 基于Omega的投资组合优化研究综述
Pub Date : 2019-11-01 DOI: 10.1109/ICPECA47973.2019.8975632
Niharika Tewari, Md. Imran Hossain Showrov, V. Dubey
Portfolio optimization aims to pick risky assets to meet the goal of maximizing the return and minimizing the risk. One should model the best combination of assets by striving the optimal relationship between risk and return for an appropriate investor even when the constraints are present. This paper aims to study the risk measure Conditional Value At Risk with constraints, that are added in a portfolio and are analyzed in the optimization problem. It also focuses on how will the portfolio work when a threshold value $L(alpha)$:- CVaR is fixed. The dataset was taken from YAHOO Finance consisting of weekly historical prices were implemented.
投资组合优化的目的是选择风险资产,以达到收益最大化和风险最小化的目标。即使在存在约束条件的情况下,我们也应该通过为合适的投资者争取风险与回报之间的最佳关系,为资产的最佳组合建模。本文研究了在投资组合中添加约束的风险度量条件风险值,并对其优化问题进行了分析。它还侧重于当阈值$L(alpha)$:- CVaR固定时,投资组合将如何工作。数据集取自雅虎财经,由每周历史价格组成。
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引用次数: 0
Categorical vehicle classification using Deep Neural Networks 基于深度神经网络的车辆分类
Pub Date : 2019-11-01 DOI: 10.1109/ICPECA47973.2019.8975613
Deependra Sharma, Z. Jaffery, N. Ahmad
Categorical vehicle classification on sequence of image data being a task of great importance and challenging as well for automated traffic surveillance and for the autonomous vehicles building up nowadays. For an autonomous vehicle, it demands for an approach that can precisely detect and classify the vehicle or object around it while moving to avoid any accident. Deep neural networks approach for object detection and classification overpowers other machine learning algorithms that lags in accuracy and computational complexity. In this paper we have classified different categories of vehicles as HMV, LMV and Two-wheelers using deep neural networks. The implementation utilizes nine-layer network to faithfully detect and classify the vehicle category. The results showcase that we can rely on the deep neural networks approach for the vehicle category detection and classification for the urban traffic surveillance and for the autonomous vehicles.
基于图像数据序列的车辆分类是当前自动交通监控和自动驾驶汽车建设中的一项重要而具有挑战性的任务。对于自动驾驶汽车来说,它需要一种能够在行驶过程中精确检测和分类周围车辆或物体的方法,以避免发生事故。用于对象检测和分类的深度神经网络方法胜过其他在准确性和计算复杂性方面落后的机器学习算法。本文利用深度神经网络将不同类别的车辆分为HMV、LMV和Two-wheelers。该实现利用九层网络忠实地检测和分类车辆类别。结果表明,我们可以依靠深度神经网络方法进行城市交通监控和自动驾驶车辆的类别检测和分类。
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引用次数: 1
Design of Python Based Lost and Found Website for College Campus 基于Python的高校校园失物招领网站设计
Pub Date : 2019-11-01 DOI: 10.1109/ICPECA47973.2019.8975541
Usha Tiwari, S. Mehfuz, S. Sharma, Vinayak Triguna Pandey
Technology, developed over the years, has reduced human efforts significantly. We have used this technology to build a website called “LOSTANDFOUND.COM’'. This website is python based. This website will help people to get their lost things. A person using this website has to just put his/her lost thing on the website and the website will find it as soon as possible. HTML, CSS, JAVASCRIPT, BOOTSTRAP, JQUERY, PYTHON, DJANGO and SQLITE are the technologies which we have used in making this website. We have used Django as a framework for Python in this website because it is fast, secure and scalable. The reason we are using Python for this website is because it is simple, powerful and has many libraries. This website also helps people to connect with each other. This website is extremely beneficial for private organizations where employees usually misplace their smartphones, laptop charger, smartphone charger, purse etc.
多年来发展起来的技术大大减少了人类的劳动。我们利用这项技术建立了一个名为“LOSTANDFOUND.COM”的网站。这个网站是基于python的。这个网站将帮助人们找回他们丢失的东西。使用这个网站的人只要把丢失的东西放在网站上,网站就会尽快找到它。HTML, CSS, JAVASCRIPT, BOOTSTRAP, JQUERY, PYTHON, DJANGO和SQLITE是我们在制作这个网站时使用的技术。在这个网站中,我们使用Django作为Python的框架,因为它快速、安全、可扩展。我们在这个网站上使用Python的原因是因为它简单,功能强大,并且有很多库。这个网站还帮助人们相互联系。这个网站对私人机构来说是非常有益的,因为员工经常把他们的智能手机、笔记本电脑充电器、智能手机充电器、钱包等放错地方。
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引用次数: 1
Analysis of NB-IoT Deployment, Obstacles and Opportunities for Indian Telecommunication Operators 印度电信运营商NB-IoT部署、障碍和机遇分析
Pub Date : 2019-11-01 DOI: 10.1109/ICPECA47973.2019.8975404
Aarush Ahuja, U. Upadhyay, H. Manocha, Bhanupratap Singh
IoT constitutes the emerging market of smart devices, with the potential deployment of 3.5 billion devices until the year 2023. The coalescence of a large number of devices is imperative for a smart city, and existing techniques are relatively expensive for this purpose, which might be provided with neither data output and needing longer ranges to aid the requirements of IoT. Albeit cell innovations and Wi-Fi have demonstrated massive achievement in associating billions of clients to the Internet, they aren’t optimal to bridge objects with restricted throughput necessities, restricted processing power, and low power expenditure demands. From the wide assortment of utilization instances of IoT gadgets stem the need for new communication models and standards, ready to work productively with the low power, low execution gadgets on a large user base. We comprehensively review one of the most modern and fastest growing M2M radio technologies, NB-IoT. We pay particular attention to advantages and obstructions in the deployment of NB-IoT by Telecommunication Service Providers in developing countries like India, with a targeted focus towards Smart City applications. NB-IoT and LoRa are Low Power Wireless Area Network technologies enabling deployment of long-range and broad.
物联网构成了智能设备的新兴市场,到2023年可能部署35亿台设备。对于一个智慧城市来说,大量设备的融合是必不可少的,而现有的技术为此目的相对昂贵,可能既没有数据输出,也需要更长的范围来满足物联网的要求。尽管蜂窝创新和Wi-Fi在将数十亿客户端连接到互联网方面取得了巨大成就,但对于吞吐量受限、处理能力受限、功耗低的对象来说,它们并不是最理想的桥接方式。从物联网设备的广泛使用实例中,需要新的通信模型和标准,以便在大量用户群中使用低功耗,低执行的设备进行高效工作。我们全面回顾了最现代和发展最快的M2M无线电技术之一,NB-IoT。我们特别关注电信服务提供商在印度等发展中国家部署NB-IoT的优势和障碍,并有针对性地关注智慧城市应用。NB-IoT和LoRa是低功耗无线区域网络技术,可实现远程和广泛的部署。
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引用次数: 1
Lossless Compression Algorithm for Energy Efficient Wireless Sensor Network 节能无线传感器网络的无损压缩算法
Pub Date : 2019-11-01 DOI: 10.1109/ICPECA47973.2019.8975686
Md Sajjad Ahmad, Sonam Lata, S. Mehfuz, A. Ahmad
Energy efficiency is a key parameter in the design of wireless sensor networks (WSNs). Sensor nodes are generally operated by using batteries of limited capacity. To achieve energy efficiency, a reduction in radio communication is necessary. The communication unit consumes the major power in a wireless sensor node. Reduction in power consumption to make reliable wireless sensor networks, due to the exchange of data between sensor nodes can be attained with the help of data compression approach. A lossless data compression (LDC) approach is proposed to attain reliability in wireless sensor networks. Compression schemes have advantages that they can allow dynamical adjustment for the change in source data statistics for performance maximization. The proposed algorithm requires less computational power and its effectiveness has been computed by compression of temperature and relative humidity data sets gathered by real WSNs. The compression ratio has been obtained up to 73.54% and 61.82% for temperature and relative humidity data sets.
能源效率是无线传感器网络设计中的一个关键参数。传感器节点通常使用容量有限的电池进行操作。为了实现能源效率,减少无线电通信是必要的。通信单元消耗无线传感器节点的主要功率。降低无线传感器网络的功耗,由于传感器节点之间的数据交换可以借助数据压缩方法来实现。为了提高无线传感器网络的可靠性,提出了一种无损数据压缩(LDC)方法。压缩方案的优点在于,它们允许对源数据统计的变化进行动态调整,以实现性能最大化。该算法的计算量较小,并通过对实际无线传感器网络采集的温度和相对湿度数据集的压缩来计算其有效性。温度和相对湿度数据集的压缩比分别达到73.54%和61.82%。
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引用次数: 0
Study On Future of Solar Thermal Storage System Using Concentrated Solar Power 聚光太阳能蓄热系统的未来研究
Pub Date : 2019-11-01 DOI: 10.1109/ICPECA47973.2019.8975636
P. Singh, Anil Kumar, Prashant Mishra, V. K. Sethi
The increase in demand for electric power all around the world due to proliferation in population has crucial impact on environment. This concern leads to question to human knowledge. The pioneered engineering delivered for a new concept of worlds electric demand with higher potential with the existing power plant. One of the new ways is Solar photovoltaic (PV). But Solar PV has limitations of sun and available area, which is a major concern. Such undistinguished concerns related with Solar PV can be resolved using solar concentrated power. The other way is to use solar thermal storage system, which solves the issue of problem of power supply, when sun is not available. The objective of this paper is to give an overview of solar thermal storage system using concentrated solar power.
由于人口的激增,世界各地对电力需求的增加对环境产生了至关重要的影响。这种关注导致了对人类知识的质疑。这项开创性的工程为现有发电厂提供了一个新的世界电力需求概念,具有更高的潜力。其中一种新方法是太阳能光伏发电(PV)。但太阳能光伏有太阳和可用面积的限制,这是一个主要问题。这些与太阳能光伏相关的不起眼的问题可以通过太阳能集中发电来解决。另一种方法是利用太阳能蓄热系统,解决了在没有太阳的情况下,电力供应的问题。本文对聚光太阳能蓄热系统进行了综述。
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引用次数: 3
Bid Responsive Generation Rescheduling for Congestion Management in Deregulated Electricity Market 解除管制下电力市场拥塞管理的竞价响应式发电计划调整
Pub Date : 2019-11-01 DOI: 10.1109/ICPECA47973.2019.8975440
M. Sarwar, A. Siddiqui, Farheen
This paper proposes a bid responsive generation rescheduling method of congestion management. The selection of participating generators is done using sensitivity of generators to the flow of power in transmission line. The amount of generation rescheduling required for alleviation of congestion is made to respond to the bids submitted by generators for rescheduling their output along with generator sensitivity values. In this paper, the effect of change of bids of generator on amount of generation rescheduling is also analysed. The proposed method is implemented on IEEE 14-bus system.
提出了一种基于竞价响应的拥塞管理重调度方法。参与发电机的选择是根据发电机对输电线路中潮流的灵敏度来确定的。缓解拥塞所需的发电重新调度量是根据发电机提交的重新调度其输出的投标以及发电机灵敏度值作出的。本文还分析了发电机组报价变化对发电机组重调度量的影响。该方法在IEEE 14总线系统上实现。
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引用次数: 0
Hybrid algorithm for reactive power control in grid integrated Photovoltaic inverters 并网光伏逆变器无功控制的混合算法
Pub Date : 2019-11-01 DOI: 10.1109/ICPECA47973.2019.8975627
A. Fatama, Mohammed Ali Khan, V. S. Kurukuru, A. Haque
This paper develops a coordinated reactive power control system for grid integrated solar photovoltaic (PV) inverters. The proposed algorithm combines the reactive power control capabilities of PV inverter with flexible AC transmission devices for stabilizing the PV system during grid faults. The proposed control method works as per a predefined hierarchical structure by prioritizing the reactive power control with PV inverters. The complete methodology is realized by testing them with a two-stage single-phase grid-connected PV system simulated in MATLAB/Simulink software. The simulation results verify the accuracy of the classification algorithm and depict the effectiveness of the proposed controller in both the under and overvoltage situations.
本文开发了一种并网太阳能光伏逆变器无功协调控制系统。该算法将光伏逆变器的无功功率控制能力与柔性交流输电装置相结合,实现了电网故障时光伏系统的稳定。该控制方法通过对光伏逆变器的无功功率进行优先级控制,按照预定义的分层结构进行控制。通过MATLAB/Simulink软件对两级单相并网光伏系统进行仿真测试,实现了完整的方法。仿真结果验证了分类算法的准确性,并描述了该控制器在欠压和过压情况下的有效性。
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引用次数: 2
期刊
2019 International Conference on Power Electronics, Control and Automation (ICPECA)
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