2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)最新文献_第4页

PAPR reduction of GFDM system using Parallel concatenation of LDPC codes 利用LDPC码并联降低GFDM系统的PAPR

2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC) Pub Date : 2022-01-10 DOI: 10.1109/ICAECC54045.2022.9716598

N. Telagam, S. Lakshmi, K. Nehru

引用次数: 2

Importance of Kaizen and Its Implementation in Design and Manufacturing System 设计与制造系统改善的重要性及其实施

2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC) Pub Date : 2022-01-10 DOI: 10.1109/ICAECC54045.2022.9716625

K. Krupa, Sukumar Patil, Bhoopendra Singh

引用次数: 0

Analyzing different high speed adder architecture for Neural Networks 神经网络中不同高速加法器结构分析

2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC) Pub Date : 2022-01-10 DOI: 10.1109/ICAECC54045.2022.9716643

Deekshith Krishnegowda

{"title":"Analyzing different high speed adder architecture for Neural Networks","authors":"Deekshith Krishnegowda","doi":"10.1109/ICAECC54045.2022.9716643","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716643","url":null,"abstract":"The first neural network model which was developed for image recognition application consisted of simple perceptrons. It had input, processing unit, and a single output. Neural networks which are used in today’s world consist of many complex MAC (Multiply and Accumulate) units. Be it the simple pattern recognition neural network model or complex models used for autonomous driving applications; adders are used for computing the activation point of neurons. Some adders offer better performance at the cost of area and power while some offer better power at the cost of performance. So, choosing the right type of adder architecture based upon the application becomes a very important criterion when we are trying to develop an inference engine for the neural network in hardware. To determine weight or activation point of a neuron, typically, float32 or float64 number representation is used. Float64 offers better accuracy than float32 but the drawback of using float64 is that it requires huge computation power. So, in this manuscript we compare different high-speed adder topologies, then discuss the implementation of an optimized 64-bit conditional sum and carry select adder that can be used to implement Deep Neural Network with float64 number representation. Analysis between different adder architecture is performed using Synopsys Design Compiler with 45nm Toshiba library for three different metrics: Timing, Area, and Power.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127425203","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: 3

A Proposed Algorithm to Perform Few Shot Learning with different sampling sizes 一种不同采样大小的少镜头学习算法

2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC) Pub Date : 2022-01-10 DOI: 10.1109/ICAECC54045.2022.9716609

Kashvi Dedhia, Mallika Konkar, Dhruvil Shah, Prachi Tawde

引用次数: 0

A Cryptography based Face Authentication System for Secured Communication 一种基于密码学的安全通信人脸认证系统

2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC) Pub Date : 2022-01-10 DOI: 10.1109/ICAECC54045.2022.9716676

Ba Ajeethra, Sv Gautham Prasath, R. Arun Balaji, K. A. Kumar

{"title":"A Cryptography based Face Authentication System for Secured Communication","authors":"Ba Ajeethra, Sv Gautham Prasath, R. Arun Balaji, K. A. Kumar","doi":"10.1109/ICAECC54045.2022.9716676","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716676","url":null,"abstract":"Digital communication and networking had become an integral part of our everyday life. Technological advancements in Digital networking must also include security and confidentiality paradigms. Several previous works on communication systems comprised the problem of storage, sharing, and complexity of keys. On considering the mentioned problems of existing works, this paper proposes secure communication using cryptography and face recognition techniques with cloud computing. The proposed system pertains to a protected communication process, where messages are entitled only after the verification of the authorized sender and receiver using Linear Binary Pattern Histogram (LBPH) face recognition, and Rivest, Shamir, Adleman (RSA) cryptographic technique with the cloud management system. The system generates RSA key pair, which is exported as a Privacy- Enhanced Mail (PEM) file and stored in a remote server through a Secure Shell (SSH) tunnel.The proposed system has found that using 50 samples for face authentication is most efficient and accurate with limited time. Existing works have focused to increase security by adding layers of encryption which in turn increased the complexity to handle keys and decryption processes. This proposed methodology on following a biometric authentication system, stretches itself with an extra efficient layer of security without increasing the complexity of the system.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129182098","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

Hardware and Software method to Reduce Power Consumption in Battery Operated IoT Devices 降低电池供电物联网设备功耗的硬件和软件方法

2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC) Pub Date : 2022-01-10 DOI: 10.1109/ICAECC54045.2022.9716644

K. Sudharshan, A. R. Bhavya

引用次数: 2

OpenGL Based Simulation Test Bed for Aircraft Ground Telemetry System using Antenna Beam Forming 基于OpenGL的天线波束成形飞机地面遥测系统仿真试验台

2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC) Pub Date : 2022-01-10 DOI: 10.1109/ICAECC54045.2022.9716602

Mangu Aman Surya, P. H. Lakshmi, Kuruganti Madhu Sri, Amancherla Shanmukha Sai Saketh, Devendra J Patra Kailash, P. Tarun Sai, Parul Mathur, Vineetha Jain, Dhanesh G-Kurup

引用次数: 0

Face Recognition Using Machine Learning Models - Comparative Analysis and impact of dimensionality reduction 使用机器学习模型的人脸识别-降维的比较分析和影响

2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC) Pub Date : 2022-01-10 DOI: 10.1109/ICAECC54045.2022.9716590

P. Yaswanthram, B. A. Sabarish

{"title":"Face Recognition Using Machine Learning Models - Comparative Analysis and impact of dimensionality reduction","authors":"P. Yaswanthram, B. A. Sabarish","doi":"10.1109/ICAECC54045.2022.9716590","DOIUrl":"https://doi.org/10.1109/ICAECC54045.2022.9716590","url":null,"abstract":"Face Recognition is considered a biometric technique where it is capable of uniquely identifying and verifying a person just by analysing and comparing the facial patterns on the facial contours. Face Recognition has gained significant importance in security aspects and it has been widely used and accepted biometric. It has given greater importance during pandemic situations in terms of cheapest and widely accepted touchless biometrics. This paper studies the impact of dimensionality reduction on the efficiency or accuracy of machine learning algorithms in face recognition. The analysis is carried out over various algorithms include Random Forests, Support Vector Machine, Linear Regression, Logistic Regression, K-Nearest Neighbor. Based on the analysis, Logistic Regression gives better performance in terms of accuracy and time with an accuracy score of 0.97 within a time of 5.74 sec when implemented without principal component analysis whereas with principal component analysis, Logistic Regression achieved an accuracy score of 0.93 within a time of 0. 15sec. There is a huge difference in computation time approximately 20 times, the difference in accuracy is minimal.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115937496","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

Defects Determination and Diagnosis in Bare Dice for High Reliable Hybrid Microcircuits 高可靠性混合微电路裸片缺陷的检测与诊断

2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC) Pub Date : 2022-01-10 DOI: 10.1109/ICAECC54045.2022.9716627

Suma S. Lonkadi, V. Varalakshmi, S. Raviprakash, Kamaljeet Singh, A. V. Nirmal

引用次数: 0

LSTM based Deep Learning Technique to Forecast Internet of Things Attacks in MQTT Protocol 基于LSTM的深度学习技术预测MQTT协议中的物联网攻击

2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC) Pub Date : 2022-01-10 DOI: 10.1109/ICAECC54045.2022.9716585

S. Thavamani, U. Sinthuja

引用次数: 1