2023 International Conference on Networking and Communications (ICNWC)最新文献_第4页

Emotion Recognition in Speech Signals using MFCC and Mel-Spectrogram Analysis 基于MFCC和mel谱图分析的语音信号情感识别

2023 International Conference on Networking and Communications (ICNWC) Pub Date : 2023-04-05 DOI: 10.1109/ICNWC57852.2023.10127355

P. Muthuvel, T. Jaswanth, S. Firoz, S. Sri, N. Mukhesh

{"title":"Emotion Recognition in Speech Signals using MFCC and Mel-Spectrogram Analysis","authors":"P. Muthuvel, T. Jaswanth, S. Firoz, S. Sri, N. Mukhesh","doi":"10.1109/ICNWC57852.2023.10127355","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127355","url":null,"abstract":"In the domain of artificial intelligence, it’s becoming more crucial than ever to classify emotions from both text and speech (AI). In order to promote and enhance human-ma-chine interaction, it is essential to establish a broader frame-work for speech emotion recognition. Machines are currently unable to reliably classify human emotions, hence machine learning development models were created for this purpose. Many academics worldwide are attempting to improve the ac-curacy of emotion categorization systems. The two steps of this study’s creation of a speech emotion detection model are (I) tasked with managing and (ii) classification. The most pertinent feature subset was discovered using feature selection (FS). A wide variety of different vision -based paradigms were employed to address the growing demand for accurate emotion categorization all across the domain of ai technology, taking into account how crucial feature selection is. This study strategy for both the emotion categorization problem and the establishment of ml algorithms and deep learning methods. This same aforementioned work focuses on speech expression analysis & proposes a paradigm for bettering human-computer interaction through into the construction on prototype cognitive computing that categorizes feelings. The investigation aims to boost this same precision for eg in voice by applying methods for selecting features and now a spectrum different deep learning methodology, notably TensorFlow. A research also high-lights the contribution on component choice mostly in creation of powerful machine-learning algorithms towards feelings categorization.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127785640","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

Pilot Compression Analysis for Feedback Based Channel Estimation Model in FDD Massive MIMO FDD大规模MIMO中基于反馈信道估计模型的导频压缩分析

2023 International Conference on Networking and Communications (ICNWC) Pub Date : 2023-04-05 DOI: 10.1109/ICNWC57852.2023.10127323

Madhumitha Jayaram, Bhagyaveni Marcharla Anjaneyulu

引用次数: 0

Voice Automation Mail System for Visually Impaired 视障人士语音自动邮件系统

2023 International Conference on Networking and Communications (ICNWC) Pub Date : 2023-04-05 DOI: 10.1109/ICNWC57852.2023.10127558

D. Malathi, S. Gopika, Devina Awasthi, Dorathi Jayaseeli

引用次数: 0

An Early Prediction Model for Chronic Kidney Disease Using Machine Learning 使用机器学习的慢性肾脏疾病早期预测模型

2023 International Conference on Networking and Communications (ICNWC) Pub Date : 2023-04-05 DOI: 10.1109/ICNWC57852.2023.10127500

R. Deepa, R. Priscilla, A. Pandi, B. Renukadevi

引用次数: 0

Compression And Decompression Of Files Without Loss Of Quality 压缩和解压的文件没有损失的质量

2023 International Conference on Networking and Communications (ICNWC) Pub Date : 2023-04-05 DOI: 10.1109/ICNWC57852.2023.10127236

K. Anand, M. Priyadharshini, K. Priyadharshini

引用次数: 0

A Polynomial Curve Mapping Technique for Random Data 随机数据的多项式曲线映射技术

2023 International Conference on Networking and Communications (ICNWC) Pub Date : 2023-04-05 DOI: 10.1109/ICNWC57852.2023.10127363

Munnaza Ramzan, G. M. Rather

引用次数: 0

Biometric Recognition Using EEG Signals And Controlling The Electrical Devices 利用脑电图信号进行生物特征识别及控制电子设备

2023 International Conference on Networking and Communications (ICNWC) Pub Date : 2023-04-05 DOI: 10.1109/ICNWC57852.2023.10127259

Ms.S.Anitha Jebamani, M. Ragavi, K. Nivetha.

引用次数: 0

Service Level Agreement Violation Detection in Multi-cloud Environment using Ethereum Blockchain 基于以太坊区块链的多云环境下服务水平协议违规检测

2023 International Conference on Networking and Communications (ICNWC) Pub Date : 2023-04-05 DOI: 10.1109/ICNWC57852.2023.10127520

N. Neeraj, Aditya Nellikeri, P. Varun, Santosh Reddy, Mangesh Shanbhag, Dg Narayan, Altaf Husain

{"title":"Service Level Agreement Violation Detection in Multi-cloud Environment using Ethereum Blockchain","authors":"N. Neeraj, Aditya Nellikeri, P. Varun, Santosh Reddy, Mangesh Shanbhag, Dg Narayan, Altaf Husain","doi":"10.1109/ICNWC57852.2023.10127520","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127520","url":null,"abstract":"With the advancement of cloud computing technologies, it is necessary to maintain quality of service, for which service level agreements (SLAs) are one of the ways to improve this. A significant part of revenue will be contributed by the use of on demand resources (compute, network or storage) provided by this cloud service providers (CSP). Service level agreement (SLA) plays a key role in maintaining quality of services (QoS) of these on demand resources. The CSP enforces the SLA, by utilizing machine-generated logs to monitor machine performance. Additionally, some consumers may monitor resource performance themselves to ensure it meets their standards. This approach not only leads to traction between both CSP and cloud service consumers (CSC), but also leads to a duplication of the effort. The aim of this work is to create a system that is distributed in nature and could be trusted by both CSP and the consumer. The paper provides solution using a public blockchain and log based algorithm that evaluates resource performance based on several SLA criteria accepted by the CSP and consumers. If the system’s performance falls below a certain level, the CSC will be intimated through logs. This motivates the consumer to spend more money on the resources and compels the CSP to keep the number of SLA violations to a minimal. A web application with a blockchain as the back-end is used to monitor SLA violations and the compensation procedure. Finally, a multi-node ethereum blockchain network is used to conduct a performance analysis of the suggested solution.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122906766","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

Improving Reliability of Embedded RISC-V SoC for Low-cost Space Applications 提高低成本空间应用嵌入式 RISC-V SoC 的可靠性

2023 International Conference on Networking and Communications (ICNWC) Pub Date : 2023-04-05 DOI: 10.1109/ICNWC57852.2023.10127244

Ambika S Rao, R. Anilkumar, K. Padmapriya, K. Sudeendra Kumar

引用次数: 0

A Blockchain-Enabled Decentralized Gossip Federated Learning Framework 一个区块链支持的分散八卦联邦学习框架

2023 International Conference on Networking and Communications (ICNWC) Pub Date : 2023-04-05 DOI: 10.1109/ICNWC57852.2023.10127450

Arshdeep Janjua, S. Dhalla, Savita Gupta, Sukhwinder Singh

{"title":"A Blockchain-Enabled Decentralized Gossip Federated Learning Framework","authors":"Arshdeep Janjua, S. Dhalla, Savita Gupta, Sukhwinder Singh","doi":"10.1109/ICNWC57852.2023.10127450","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127450","url":null,"abstract":"Federated learning (FL) has undergone substantial research and has been used in numerous real-world solutions over the past few years. It shows promising results in addressing the data security and privacy issues present in the traditional centralized machine learning approach. Even though federated learning makes certain of data privacy for each contributing user, the global model and the data are still vulnerable to attacks by compromised clients and servers. Additionally, in the settings for non-independent identical data (Non-IID), federated learning performs significantly less compared to the standard centralized learning mode. To address both the security and performance issues, this paper proposes a blockchain-enabled gossip federated learning framework (BGFL). BGFL replaces the central server with a blockchain-enabled system for global model storage and exchange. Also, to achieve faster training convergence, clients communicate with each other based on a gossip training approach. Then, to evaluate the performance we perform experiments using MNIST and CIFAR datasets in Non-IID settings. The performance and effectiveness of the BGFL framework is demonstrated by the experimental results.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130563111","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