2022 IEEE International Symposium on Smart Electronic Systems (iSES)最新文献_第2页

Secure Peer to Peer Learning Using Auto Encoders 安全点对点学习使用自动编码器

2022 IEEE International Symposium on Smart Electronic Systems (iSES) Pub Date : 2022-12-01 DOI: 10.1109/iSES54909.2022.00055

Anirudh Kasturi, A. Agrawal, C. Hota

{"title":"Secure Peer to Peer Learning Using Auto Encoders","authors":"Anirudh Kasturi, A. Agrawal, C. Hota","doi":"10.1109/iSES54909.2022.00055","DOIUrl":"https://doi.org/10.1109/iSES54909.2022.00055","url":null,"abstract":"We need machine learning algorithms that can use clients' data to create tailored models while adhering to tight privacy rules because people are concerned about privacy as more and more personal devices are being connected to the internet. Here, we present a robust method with a provable convergence rate to solve the issue, as mentioned earlier, in a distributed (peer-to-peer) asynchronous setting. This paper introduces a generic framework that trains an autoencoder on each client and then transmits the encoded data to the remaining clients. In a single round of communication, each client compiles data from several clients and trains a deep-learning model on the encoded data. In this work, we detail the architecture and implementation of the proposed approach and assess its efficacy in light of its comparison to the best-in-class central training and federated learning (FL) algorithms. Compared to FL and central training algorithms, our experiments on various datasets reveal that our proposed technique yields comparable accuracy. Compared to FL, our results demonstrate that the suggested approach reduces the quantity of data transfer by over 95 %, saving a significant amount of bandwidth.","PeriodicalId":438143,"journal":{"name":"2022 IEEE International Symposium on Smart Electronic Systems (iSES)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128097163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PUF Based Authentication System for IoT Nodes: A Comparative Study 基于PUF的物联网节点认证系统比较研究

2022 IEEE International Symposium on Smart Electronic Systems (iSES) Pub Date : 2022-12-01 DOI: 10.1109/iSES54909.2022.00085

Magna Mishra, K. SudeendraKumar, Ayass Kant Swain, K. Mahapatra

{"title":"PUF Based Authentication System for IoT Nodes: A Comparative Study","authors":"Magna Mishra, K. SudeendraKumar, Ayass Kant Swain, K. Mahapatra","doi":"10.1109/iSES54909.2022.00085","DOIUrl":"https://doi.org/10.1109/iSES54909.2022.00085","url":null,"abstract":"Physical Unclonable Function (PUF) is an established hardware security primitive which is useful in mitigating chip counterfeiting, IP protection and cryptographic key generation. In this paper, we propose a XOR based Arbiter PUF which is an improvement to conventional arbiter PUF. A network of XOR gates is placed between the arbiter stages in conventional arbiter PUF to construct the proposed PUF. The PUF can be configured for different size of challenge response pairs (CRPs) due to its modular design. It is scalable in terms of the stages of arbitration required as well as the width of the challenge bits given as input The designed PUF is implemented on Xilinx Artix-7 and Spartan-6 FPGAs and the standard PUF design metrices like uniqueness, reliability and uniformity are measured and comparative analysis is presented. The proposed PUF exhibits the better PUF metrics in comparison with conventional Arbiter PUF and other recently presented PUF topologies in the literature. Near field communication (NFC) based applications needs the sound authentication systems and PUF circuits are suitable for the purpose. The proof-of-concept prototype is developed for authentication in NFC systems using proposed XOR based PUF and effectiveness of proposed PUF is validated.","PeriodicalId":438143,"journal":{"name":"2022 IEEE International Symposium on Smart Electronic Systems (iSES)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125590634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

2022 IEEE International Symposium on Smart Electronic Systems 2022年IEEE智能电子系统国际研讨会

2022 IEEE International Symposium on Smart Electronic Systems (iSES) Pub Date : 2022-12-01 DOI: 10.1109/ises54909.2022.00001

引用次数: 0

Classification of UAVs using Time-Frequency Analysis of Remote Control Signals and CNN 基于遥控信号时频分析和CNN的无人机分类

2022 IEEE International Symposium on Smart Electronic Systems (iSES) Pub Date : 2022-12-01 DOI: 10.1109/iSES54909.2022.00014

Rakesh Reddy Yakkati, Anurag Gade, Balu Harshavardan Koduru, Bethi Pardhasaradhi, Linga Reddy Cenkeramaddi

{"title":"Classification of UAVs using Time-Frequency Analysis of Remote Control Signals and CNN","authors":"Rakesh Reddy Yakkati, Anurag Gade, Balu Harshavardan Koduru, Bethi Pardhasaradhi, Linga Reddy Cenkeramaddi","doi":"10.1109/iSES54909.2022.00014","DOIUrl":"https://doi.org/10.1109/iSES54909.2022.00014","url":null,"abstract":"Unmanned aerial vehicles (UAVs) have re-cently gained a significant interest in the research com-munity owing to their unrivaled commercial chances in wireless communications, search and rescue, surveillance, logistics, delivery, and intelligent agriculture. In safety-critical applications such as intrusions, identifying the type of drone enhances the countermeasures. This paper proposes classifying UAVs from radio frequency (RF) fingerprints using time-frequency transformation and con-volutional neural networks (CNN). The proposed method-ology involves RF fingerprints' wavelet synchrosqueezed transform (WSST) followed by a proposed lightweight CNN model. The methodology is verified on a data set containing fifteen different classes of drone's RF fingerprint. The proposed CNN model size, Raspberry Pi deployment feasibility, and accuracy are compared with the existing pre-trained state-of-art deep learning models. The proposed model achieves a testing accuracy of 99.09% at 387 kilobytes (KB) size and can run on Raspberry Pi in 25.54 milliseconds.","PeriodicalId":438143,"journal":{"name":"2022 IEEE International Symposium on Smart Electronic Systems (iSES)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131843906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sensitivity analysis of Non-uniform TFET with dual material source-based biosensor 基于双材料源生物传感器的非均匀TFET灵敏度分析

2022 IEEE International Symposium on Smart Electronic Systems (iSES) Pub Date : 2022-12-01 DOI: 10.1109/iSES54909.2022.00131

J. Talukdar, Malvika, B. Das, Kavicharan Mummaneni

引用次数: 0

Power Pattern Synthesis of Time Modulated Circular Array Antenna Employing Optimization Algorithm 基于优化算法的时调制圆形阵列天线功率方向图合成

2022 IEEE International Symposium on Smart Electronic Systems (iSES) Pub Date : 2022-12-01 DOI: 10.1109/iSES54909.2022.00027

Nageswar Rao Thadikamalla, A. P. Rao

{"title":"Power Pattern Synthesis of Time Modulated Circular Array Antenna Employing Optimization Algorithm","authors":"Nageswar Rao Thadikamalla, A. P. Rao","doi":"10.1109/iSES54909.2022.00027","DOIUrl":"https://doi.org/10.1109/iSES54909.2022.00027","url":null,"abstract":"In this Research paper demonstrates the synthesis of Time Modulated Circular Antenna Array (TMCAA) radiation beam characteristics employing an evolutionary optimization method called Particle Swarm Optimization (PSO). The antenna radiation beam pattern of Far-Field is enhanced by reducing the side lobe level (SLL), most common and important param-eter of radiation pattern of antenna. By suppressing side lobe level, undesired signals and interfered signals in the common frequency band which is frequency reuse are reduced. It shows the performance and flexibility of the proposed technique for different elements 10, and 18. A reduced side lobe level is needful to overcome some noise in the working in common frequency a decreasing First Null Beam Width (FNBW) it helps the desire antenna to acquire the maximum directivity. The operation of TMCAA depends on rise time-fall time the present paper the in addition of beam pattern of antenna at the operating frequency as well as leadoff two harmonic frequencies are chosen in this case of TMCAA design. Optimization variables are gotten better radiation beam characteristics of TMCAA. The attained simulation results are validated in practical case known as high frequency structure simulator (HFSS) software platform.","PeriodicalId":438143,"journal":{"name":"2022 IEEE International Symposium on Smart Electronic Systems (iSES)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124541651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Simulation of a Shape Memory Wire based device for Rehabilitation of the Lower limb 基于形状记忆丝的下肢康复装置的仿真研究

2022 IEEE International Symposium on Smart Electronic Systems (iSES) Pub Date : 2022-12-01 DOI: 10.1109/iSES54909.2022.00078

Raebel Christo, T. Ganapathy, Dhanalakshmi Kaliaperumal

引用次数: 0

CTU Partition for Intra-Mode HEVC using Convolutional Neural Network 基于卷积神经网络的模式内HEVC的CTU分区

2022 IEEE International Symposium on Smart Electronic Systems (iSES) Pub Date : 2022-12-01 DOI: 10.1109/iSES54909.2022.00120

Pattimi Hari, Vivek Jadhav, B. Srinivasarao

{"title":"CTU Partition for Intra-Mode HEVC using Convolutional Neural Network","authors":"Pattimi Hari, Vivek Jadhav, B. Srinivasarao","doi":"10.1109/iSES54909.2022.00120","DOIUrl":"https://doi.org/10.1109/iSES54909.2022.00120","url":null,"abstract":"High Efficiency Video Coding (HEVC / H.265) decreased bit rates by 50% compared to the Advanced Video Coding (AVC / H.264) standard. The HEVC Coding Tree Unit (CTU) partition uses a quadtree structure. This structure improves coding unit performance by letting each Coding Unit (CU) be divided into four smaller CUs. The use of brute force search for Rate Distortion Optimization (RDO) in CTU partition makes HEVC encoding very complicated. This paper proposes a Convolutional Neural Network (CNN) that predicts CTU partition instead of RDO for intra-mode HEVC, which makes HEVC encoding simpler. CNN gets 64×64 CTU as input, and the prediction of depth for each 64×64 coding unit is represented by a 16×16 matrix of each 4×4 block. If redundant information in a 16×16 matrix can be reduced to a 1×16 vector, then the output of a 64×64 matrix can also be represented as a 1×16 vector. CNN model is integrated with HM reference software and compared to original HM software in terms of encoding time, BD-BR, and BD-PSNR to find out how much the encoding process has become simpler. The proposed HMCNN framework reduces the computational complexity of intra mode HEVC by up to 70.39 percent at the cost of a 4.27% drop in bitrate.","PeriodicalId":438143,"journal":{"name":"2022 IEEE International Symposium on Smart Electronic Systems (iSES)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128429409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Compact Ultra-Wideband All Metal Vivaldi Antenna with an Exponential Tapered Slot for 5–20 GHZ Applications 紧凑型超宽带全金属维瓦尔第天线，具有指数锥形槽，适用于5-20 GHZ应用

2022 IEEE International Symposium on Smart Electronic Systems (iSES) Pub Date : 2022-12-01 DOI: 10.1109/iSES54909.2022.00113

M. B. Lakshmi, D. Vakula

引用次数: 0

SIW Slot Antenna Parametric Analysis for IoT Applications 物联网应用中的SIW槽天线参数分析

2022 IEEE International Symposium on Smart Electronic Systems (iSES) Pub Date : 2022-12-01 DOI: 10.1109/iSES54909.2022.00111

Elagandula Aparna, Gopi Ram Hardel, G. Kumar

引用次数: 0