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2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)最新文献

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Real Estate Management System based on Blockchain 基于区块链的房地产管理系统
Ankit Mittal, Bhavyansh Sharma, Pinku Ranjan
Real Estate management in India as well as in many parts of the world is a very inefficient process. Developing a secure central system that not only accelerates the process of land registration but also makes it efficient will be effective. This paper presents a blockchain-powered real estate management system that will provide a transparent, secure, and efficient system for real estate management. This system will include all the departments related to real estate management. It will store all the transactions on a distributed permissioned blockchain which will be very secure and will not be prone to hacking and this can be automated to a great extent. The system will be centralized connecting all the departments and will be decentralized for data storage. It is a practical solution to the real estate management problem.
房地产管理在印度以及世界上许多地方是一个非常低效的过程。建立一个安全的中央系统,不仅加快土地登记的进程,而且使其效率更高,将是有效的。本文提出了一个区块链驱动的房地产管理系统,它将为房地产管理提供一个透明、安全、高效的系统。该系统将包括所有与房地产管理相关的部门。它将所有的交易存储在一个分布式许可的区块链上,这将是非常安全的,不会容易被黑客攻击,这可以在很大程度上自动化。该系统将集中连接所有部门,分散存储数据。这是解决房地产管理问题的一个切实可行的方法。
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引用次数: 2
Attention-Guided Context-aware Emotional State Recognition 注意引导的情境感知情绪状态识别
S. Jaiswal, Sandeep Misra, G. Nandi
For effective communication between two humans, one needs to understand the emotional state of its fellow beings. Predicting human emotion involves several factors, which include, but not limited to, facial expression. Many researches in this direction are based on features extracted from facial expressions. In this paper we are proposing a model, which can predict human emotion by considering facial as well as context information. Our model not only extracts features from facial expressions but also is aware of the background context in the image dataset. We have shown the relevance of contextual information with facial expression and its impact on the predicted results. Our model captures facial expressions and contextual information with the most relevant part boosted up to capture feature and utilize it to predict human expressions. We are using Attention model in our architecture to boost relevant part, and learn what to boost to make relevant prediction. We have performed several experiments and compare the relevance of facial expressions with context and context free environments. Our proposed model is robust, capable of predicting emotions in real time with improved accuracy of 8% over state of the art accuracy to the best of our knowledge. In addition, it is implemented over dataset, which contains mostly spontaneous images and not posed one, leading to improved results.
为了两个人之间的有效沟通,一个人需要了解他的同伴的情绪状态。预测人类情绪涉及几个因素,包括但不限于面部表情。这方面的许多研究都是基于从面部表情中提取的特征。在本文中,我们提出了一个模型,该模型可以通过考虑面部和上下文信息来预测人类的情绪。我们的模型不仅可以从面部表情中提取特征,还可以感知图像数据集中的背景环境。我们已经展示了上下文信息与面部表情的相关性及其对预测结果的影响。我们的模型捕获面部表情和上下文信息,其中最相关的部分被增强以捕获特征并利用它来预测人类的表情。我们在我们的架构中使用注意力模型来提升相关部分,并学习提升哪些部分来做出相关预测。我们进行了几个实验,比较了面部表情与语境和无语境环境的相关性。我们提出的模型是稳健的,能够实时预测情绪,据我们所知,其准确率比目前最先进的准确率提高了8%。此外,它是在数据集上实现的,这些数据集主要包含自发图像而不是构成图像,从而提高了结果。
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引用次数: 2
A microcontroller interfaced smartphone application to perform and analyze a laboratory experiment in real time
Abhijit Poddar, Monali Poddar
A smartphone application has been developed from scratch to perform an actual lab experiment in basic electronics in real time. The experimental circuit is interfaced with the smartphone with the help of the Arduino microcontroller board. Serial communication is established between the smartphone application and the Arduino through a USB On-The-Go or OTG cable. The smartphone application can then be used to plot the resulting data on an e-graph-paper mimicking an actual graph paper. Intelligent methods of curve-fitting may be employed and experimental results obtained automatically, all in real time and without the need to touch the experimental set-up.
一款智能手机应用程序已经被开发出来,可以实时进行基础电子学的实际实验室实验。实验电路借助Arduino微控制器板与智能手机连接。通过USB on - on - go或OTG电缆在智能手机应用程序和Arduino之间建立串行通信。然后可以使用智能手机应用程序在模拟实际方格纸的电子方格纸上绘制结果数据。可以采用智能的曲线拟合方法,自动获得实验结果,所有这些都是实时的,无需触摸实验装置。
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引用次数: 1
Pendulum Shaped Planar Antenna for Defense and Satellite Communication 用于国防和卫星通信的摆形平面天线
M. V. Yadav, S. Baudha, S. Sharma
A pendulum-like shape with a variable slot ground plane is presented for defense and satellite communication. The substrate used is FR-4 with the overall dimensions of 13*13*1.5 cubic millimeters. This structure design is fed by a 50Ω line. This antenna has a low reflection coefficient starting from 4.1 to 12 GHz. The fractional bandwidth of the antenna is 97.02 % with stable radiations. The antenna's maximum gain stands at 2.2 dB and the antenna's efficiency stands at 77% respectively. The suggested structure is size efficient, lightweight. Hence, it can be used for satellite communication (4.16-6 GHz and 8–12 GHz) with defense communication.
提出了一种具有可变槽接平面的钟摆形状,用于国防和卫星通信。所用基材为FR-4,整体尺寸为13*13*1.5立方毫米。该结构设计由50Ω线馈送。该天线具有4.1 ~ 12ghz的低反射系数。该天线的分数带宽为97.02%,辐射稳定。天线的最大增益为2.2 dB,效率为77%。建议的结构是尺寸有效,重量轻。因此,它可以用于卫星通信(4.16-6 GHz和8-12 GHz)与国防通信。
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引用次数: 0
Monocular Depth Estimation Using Encoder-Decoder Architecture and Transfer Learning from Single RGB Image 基于编码器-解码器结构和RGB单幅图像迁移学习的单目深度估计
Hritam Basak, Sagnik Ghosal, Mainak Sarkar, Mayukhmali Das, Soham Chattopadhyay
Depth estimation from a single RGB image has been one of the most important research topics in recent days as it has several important applications in self-supervised driving in autonomous cars, image reconstruction, and scene segmentation. Depth estimation from a single monocular image has been challenging as compared to stereo images due to the lack of spatio-temporal features per frame that makes 3D depth perception easier. Existing models and solutions in monocular depth estimation often resulted in low resolution and blurry depth maps and often fail to identify small object boundaries. In this paper, we propose a simple encoder-decoder based network that can predict high-quality depth images from single RGB images using transfer learning. We have utilized important features extracted from pre-trained networks, and after initializing the encoder with fine-tuning and important augmentation strategies, the network decoder part computes the high-end depth maps. The network has fewer trainable parameters and small iterations, though it outperforms the existing state-of-the-art methods and captures accurate boundaries when evaluated on two standard datasets, KITTI, and NYU Depth V2.
单幅RGB图像的深度估计是近年来最重要的研究课题之一,因为它在自动驾驶汽车的自监督驾驶、图像重建和场景分割中有几个重要的应用。与立体图像相比,单眼图像的深度估计具有挑战性,因为缺乏每帧的时空特征,这使得3D深度感知更容易。现有的单目深度估计模型和解决方案往往导致深度图分辨率低、模糊,难以识别小目标边界。在本文中,我们提出了一个简单的基于编码器-解码器的网络,该网络可以使用迁移学习从单个RGB图像中预测高质量的深度图像。我们利用了从预训练网络中提取的重要特征,并在使用微调和重要增强策略初始化编码器后,网络解码器部分计算高端深度图。该网络具有更少的可训练参数和较小的迭代,尽管它优于现有的最先进的方法,并在两个标准数据集KITTI和NYU Depth V2上进行评估时捕获准确的边界。
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引用次数: 6
Modeling and Simulation of Novel Quasi-Six Phase DFIG in Multiple Reference Frames 多参考系下新型准六相DFIG建模与仿真
N. Mishra, Z. Husain, Gourav Mishra
This paper is inspired by the question “how novel quasi six-phase doubly-fed induction generator (QSPDFIG) will behave if it is modelled into multiple reference frames?”. Due to the attractive success of the multiphase system into power transmission, generation and drives, the interest of research fraternity is also shifting toward the wind energy conversion system (WECS) based QSPDFIG. Hence, this paper introduces the concept of novel QSPDFIG through modeling and simulation. To strengthen the concept of QSPDFIG the proposed machine is modelled into multiple reference frames (the rotating reference frame (RRF), stationary reference frame (SRF), synchronous reference frame (SyRF)). Moreover, the performance of this novel machine is verified through simulation results into RRF, SRF, SyRF. In addition to modeling and simulation, this paper also illustrates the advantages, utility, and future scope, for the research fraternity.
本文的灵感来自于“新型准六相双馈感应发电机(QSPDFIG)如果被建模成多个参照系将如何工作?”这个问题。由于多相系统在电力传输、发电和驱动方面的成功应用,研究领域的兴趣也转向了基于QSPDFIG的风能转换系统(WECS)。因此,本文通过建模和仿真介绍了新型QSPDFIG的概念。为了加强QSPDFIG的概念,所提出的机器被建模成多个参考框架(旋转参考框架(RRF),静止参考框架(SRF),同步参考框架(SyRF))。并通过RRF、SRF、SyRF的仿真结果验证了该机器的性能。除了建模和仿真之外,本文还说明了该方法的优点、实用性和未来的研究范围。
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引用次数: 1
Reliability Enhancement of a Distribution System Using Genetic Algorithm 用遗传算法提高配电系统可靠性
Amal Srivastava, A. Alam, Mohd. Albash, Aman Gupta, Vishal Kumar, Mohammad Zaid
Electric supply utilities invest a lot of money every year to improve the quality of power supplied to their customers. With the increase in demand day by day, an oligopoly has been created in the market to maintain a certain level of reliability to attract the customers such that they show the willingness to pay more for a more reliable system. For enhancing the customer contentment and comfort, according to their insistence, improvement of service reliability and simultaneously minimizing the capital costs is an extensive issue for the optimization of the distribution system. The reliability of the distribution system may be improved by the optimal placement of protective devices and switches but the determination of the optimal location and number of switches is a major concern from the reliability and economic outlook. In this paper, manual as well as optimal placement of reclosers have been done in a 13-bus radial distribution system to maximize the net profit to the utility by improving the system reliability. For optimal placement of reclosers, genetic algorithm (GA) technique has been utilized. Reliability indices such as- SAIFI, SAIDI, CAIDI, ASAI, ASUI & AENS before and after the placement of reclosers have been compared. The results thus obtained show that maximum profit to the utility with minimum capital and outage costs can be obtained by the optimal placement of reclosers in a radial distribution system.
电力供应公司每年投入大量资金来改善向客户供应的电力质量。随着需求的日益增加,市场上形成了寡头垄断,以保持一定程度的可靠性,以吸引客户,使他们愿意为更可靠的系统支付更多的钱。为了提高客户的满意度和舒适度,根据客户的坚持,在提高服务可靠性的同时,最大限度地降低资金成本,是配电系统优化的一个广泛问题。保护装置和开关的最佳布置可以提高配电系统的可靠性,但从可靠性和经济角度来看,确定最佳位置和开关数量是一个主要问题。本文对一个13母线径向配电系统进行了手动和重合闸的优化布置,以提高系统可靠性,使电力公司的净利润最大化。采用遗传算法(genetic algorithm, GA)技术实现了关闭器的优化配置。比较了重开关放置前后- SAIFI、SAIDI、CAIDI、ASAI、ASUI、AENS等可靠性指标。结果表明,通过在径向配电系统中优化配置重合闸,可以使电力公司以最小的资金和停电成本获得最大的利润。
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引用次数: 2
Parity Generator & Parity Checker Using Sub-threshold Adiabatic Logic 使用亚阈值绝热逻辑的奇偶校验生成器和奇偶校验器
Prashant Gaurav, Prashant, Sangeeta Singh, Saurabh Kumar Pandey
Power dissipation becomes an essential criterion in VLSI system in the current ultra-low power applications scenario. Sub-threshold adiabatic logic designing has shown its potential as more efficient logic for ultra low energy-consuming circuits. Parity generator and parity checker are important combination circuit for error-free transmission of data. Both of these circuits are widely used for communication to encode the data. These circuits are realized using sub-threshold adiabatic logic (SAL) by deploying CADENCE 45nm technology. Extensive simulation study has been carried out to validate the mathematical expressions. Our study validates the enhanced circuit performance using sub-threshold adiabatic logic. The present work will facilitate researchers for circuit realization for energy applications.
在当前的超低功耗应用场景下,功耗成为VLSI系统的重要指标。亚阈值绝热逻辑设计已经显示出其作为超低能耗电路中更有效的逻辑的潜力。奇偶产生器和奇偶校验器是实现数据无差错传输的重要组合电路。这两种电路都广泛用于通信以编码数据。这些电路采用亚阈值绝热逻辑(SAL)实现,采用CADENCE 45nm技术。为了验证数学表达式的正确性,进行了大量的仿真研究。我们的研究验证了使用亚阈值绝热逻辑增强的电路性能。本工作将有助于研究人员实现能源应用的电路。
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引用次数: 1
Lossy Medical Image Compression using Residual Learning-based Dual Autoencoder Model 基于残差学习的双自编码器模型的有损医学图像压缩
Dipti Mishra, S. Singh, R. Singh
In this work, we propose a two-stage autoencoder based compressor-decompressor framework for compressing malaria RBC cell image patches. We know that the medical images used for disease diagnosis are around multiple gigabytes size, which is quite huge. The proposed residual-based dual autoencoder network is trained to extract the unique features which are then used to reconstruct the original image through the decompressor module. The two latent space representations (first for the original image and second for the residual image) are used to rebuild the final original image. Color-SSIM has been exclusively used to check the quality of the chrominance part of the cell images after decompression. The empirical results indicate that the proposed work outperformed other neural network related compression technique for medical images by approximately 35%, 10% and 5% in PSNR, Color SSIM and MS-SSIM respectively. The algorithm exhibits a significant improvement in bit savings of 76%, 78%, 75% & 74% over JPEG-LS, JP2K-LM, CALIC and recent neural network approach respectively, making it a good compression-decompression technique.
在这项工作中,我们提出了一个基于两阶段自编码器的压缩-解压缩框架,用于压缩疟疾红细胞图像补丁。我们知道,用于疾病诊断的医学图像大约有几千兆字节大小,这是相当巨大的。提出的基于残差的双自编码器网络进行训练,提取图像的独特特征,然后通过解压缩模块重建原始图像。两个潜在空间表示(第一个用于原始图像,第二个用于残差图像)用于重建最终的原始图像。Color-SSIM专门用于检查解压后细胞图像的色度部分的质量。实验结果表明,该方法在PSNR、Color SSIM和MS-SSIM方面分别优于其他神经网络相关的医学图像压缩技术约35%、10%和5%。该算法比JPEG-LS、JP2K-LM、CALIC和最近的神经网络方法分别节省了76%、78%、75%和74%的比特,是一种很好的压缩-解压缩技术。
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引用次数: 5
An Integrated High Impedance Fault Detection Approach for Renewable Penetrated Distribution Network 一种集成的高阻抗配电网络故障检测方法
Y. Paras, M. Prabal Reddy, E. Shyamnath, M. Biswal
The conventional overcurrent relay used in the microgrid system is unable to detect high impedance fault. The magnitude of fault current is very less or same as the normal load current during high impedance fault and thus relay finds difficulty in detecting the fault. In the proposed method, the wavelet decomposition approach is applied to extract the order of higher frequency component present in the instantaneous current signal. The db4 mother wavelet is used to decompose the current signal and the third decomposed level is used to estimate the Teager Kaiser Energy Operator. The energy operator is consistently zero for no-fault and normal power system operating conditions, but rise significantly with the initiation of high impedance fault. The proposed is tested for different values of fault resistance, capacitor charging and nonlinear load switching conditions. The modified IEEE 13 bus distribution system integrated with hybrid distributed generators is considered for simulation analysis. The performance of the proposed HIF detection technique is compared with other existing techniques. The results prove the efficacy of the proposed integrated approach.
传统的过流继电器在微电网系统中无法检测出高阻抗故障。在高阻故障中,故障电流的大小与正常负载电流的大小相差甚小或相当,因此继电器很难检测到故障。该方法采用小波分解方法提取瞬时电流信号中高频分量的阶数。利用db4母小波对电流信号进行分解,利用第三个分解电平估计Teager Kaiser能量算子。在电力系统无故障和正常运行状态下,能量算子始终为零,但在高阻抗故障发生时,能量算子显著上升。在不同的故障电阻值、电容充电和非线性负载切换条件下对该方法进行了测试。考虑了集成混合分布式发电机的改进ieee13总线配电系统进行仿真分析。将所提出的HIF检测技术的性能与其他现有技术进行了比较。实验结果证明了该方法的有效性。
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引用次数: 0
期刊
2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
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