2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)最新文献_第6页

Future Driver Assistant with Reconfigurable On-Board Diagnostics system 具有可重构车载诊断系统的未来驾驶助理

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640737

V. A, S. Vanaja, B. Sathyasri, R. S., Ramyaa D, Prem S

{"title":"Future Driver Assistant with Reconfigurable On-Board Diagnostics system","authors":"V. A, S. Vanaja, B. Sathyasri, R. S., Ramyaa D, Prem S","doi":"10.1109/I-SMAC52330.2021.9640737","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640737","url":null,"abstract":"Nowadays, automation is the most efficient resource mechanism which is available in day today life in an economical way. In daily circumstances, life is not possible without automotive mechanism. The automotive method adopted in this system would be by displaying the various parameters through an informative system. So, our aim is to develop an informative system to indicate multiple parameters of the automobile resources like fuel, engine temperature, AC voltage in engine, air, battery voltage, wear out temperature, hydrocarbons quantity and machine speed. The proposed system is useful for any users for recognizing the various parameters in a single and compact Liquid Crystal Display. A voice recorder Integrated Circuit has been used in this project to produce warning voice signals during abnormal conditions of resources. This project involves the usage of the latest embedded microcontroller. In case of any abnormal situations some points are set to stir the end user for the itemize specifications as well as for each and every action is -taking place is stipulated with the help of voice output.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126060181","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

Application of Software Simulation in Guiding Reform of Engineering Project with VR Tools 软件仿真在VR工具指导工程项目改革中的应用

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640666

Jianhua Li

引用次数: 0

IoT based Advance Pill Reminder System for Distinct Patients 基于物联网的不同患者提前提醒系统

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640866

Abhishek A. Madankar, Akhilesh Agrawal, Vedant Yede

引用次数: 2

A detailed study on sentimental analysis using Twitter data with an Improved deep learning model 使用改进的深度学习模型对Twitter数据进行情感分析的详细研究

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640850

Bhavani M, Shrijeeth S, Rohit M, Sanjeev Krishnan R, Sharveshwaran R

{"title":"A detailed study on sentimental analysis using Twitter data with an Improved deep learning model","authors":"Bhavani M, Shrijeeth S, Rohit M, Sanjeev Krishnan R, Sharveshwaran R","doi":"10.1109/I-SMAC52330.2021.9640850","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640850","url":null,"abstract":"Under the present developments and current situation, the entire globe is changing fast. With the Internet being utilized in every sector, the internet has become a necessary requirement for everyone. With the quick expansion in informal community applications, individuals are utilizing these stages to voice their sentiments as to everyday issues. Assembling and investigating people's reactions toward purchasing an item, public administrations are essential. Sentiment analysis is a common dialogue preparing task that aims to discover the sentiments behind opinions in texts on varying subjects [1]. As of late, analysts in the field of estimation examination have been worried about dissecting suppositions on various subjects, for example, films, business items, and day by day cultural issues. Twitter is a gigantically mainstream microblog on which customers may voice their assessments. Assessment examination of Twitter information is a field that has been given a lot of consideration in the course of the most recent decade and includes taking apart \"tweets\" and the substance of these articulations. In this paper, a deep learning model has been made with Embedding, CNN and LSTM layers. Then tweets from the web are collected for a particular topic using the Web Scraping technique by Twitter API and the overall sentiment is analyzed and a detailed sentiment report is made for that particular topic.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127815370","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 Survey of different video steganography approaches against man-in-the middle attacks 针对中间人攻击的不同视频隐写方法综述

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640974

V. Annapurna, S. Nagaraja Rao, M. N. Giriprasad

引用次数: 0

Embedded Network Database Encryption System Optimization Considering the B/S Structure and Software Optimization 考虑B/S结构和软件优化的嵌入式网络数据库加密系统优化

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640735

Qinmin Ma

引用次数: 0

Speech Enhancement based on Deep Convolutional Neural Network 基于深度卷积神经网络的语音增强

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640736

Ramesh Nuthakki, Payel Masanta, Yukta T N

{"title":"Speech Enhancement based on Deep Convolutional Neural Network","authors":"Ramesh Nuthakki, Payel Masanta, Yukta T N","doi":"10.1109/I-SMAC52330.2021.9640736","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640736","url":null,"abstract":"Speech enhancement is the process of treating noisy speech signals so as to improve human perception as well as improve system understanding of the signal. For speech signals with medium or high signal to noise ratio (SNR), the aim is to produce subjectively pragmatic signal, and for signals having low SNR the aim is to reduce the noise while still maintaining the intelligibility. Many noise reduction algorithms improve overall speech quality but little progress has been made to improve the overall speech intelligibility. This paper proposes a deep convolutional neural network (DCNN) speech enhancement method by enhancing loss function such as extended short time objective ineligibility (ESTOI) and mean square error (MSE). These loss functions are improved using Harris Hawks Optimization (HHO). The enhanced speech signal is acquired by separating the clean speech signal from the noisy speech signal. By using various predictive measure of objective speech intelligibility like short time objective intelligibility, source to artefact ratio (SAR), coherence speech intelligibility index (CSII) and source to distortion ratio (SDR), the efficacy of speech enhancement is calculated. The quality of the enhanced speech signal is assessed using the quality measure such as speech distortion (SD) and perceptual evaluation of speech quality (PESQ).","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134252869","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

Network Intrusion Detection using Machine Learning Approaches 使用机器学习方法的网络入侵检测

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640949

Zakir Hossain, Md. Mahmudur Rahman Sourov, Musharrat Khan, Parves Rahman

引用次数: 1

Analysis of Power Load Forecasting Model Based on Intelligent Optimization Algorithm 基于智能优化算法的电力负荷预测模型分析

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640687

Jianli Jiao

引用次数: 1

Enterprise Artificial Intelligence New Infrastructure Standardization and Intelligent Framework Design 企业人工智能新基础设施标准化与智能框架设计

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640877

Shengfeng Jiang, Lei Jiang

引用次数: 0