2023 International Conference on Emerging Smart Computing and Informatics (ESCI)最新文献_第9页

Detecting Malicious Nodes in IoT Networks Using Machine Learning and Artificial Neural Networks 利用机器学习和人工神经网络检测物联网网络中的恶意节点

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10099544

Kazi Kutubuddin Sayyad Liyakat

{"title":"Detecting Malicious Nodes in IoT Networks Using Machine Learning and Artificial Neural Networks","authors":"Kazi Kutubuddin Sayyad Liyakat","doi":"10.1109/ESCI56872.2023.10099544","DOIUrl":"https://doi.org/10.1109/ESCI56872.2023.10099544","url":null,"abstract":"Thanks to a relatively new technology known as the Internet of Things, devices can now easily and wirelessly share data with one another over the internet or other networked systems (IoT). Despite these benefits, IoT systems are now more vulnerable to hacker attacks, which could have neg-ative consequences. This is due to the ongoing expansion of the IoT ecosystem. These incursions have the potential to cause fi-nancial and physical harm. The IoT is a network that config-ures itself automatically. This network is susceptible to a varie-ty of attacks, all of which can be started by rogue nodes. For instance, during a denial of service attack, a malicious node bombards a targeted node with a large number of packets. For the purpose of locating these malicious nodes in a network, a threshold-based procedure utilising cutting-edge machine learning techniques is launched. By checking the path latency and alerting on it if it exceeds a set threshold value, the sug-gested method can help identify an attacker node. The NS2 programme will be used to mimic the suggested method. We evaluate the suggested methodology and demonstrate that our system performs well in terms of a number of measures, such as throughput, latency, and packet loss.","PeriodicalId":441215,"journal":{"name":"2023 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128243023","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: 1

Sentiment Analysis of Restaurant Reviews from Bangladeshi Food Delivery Apps 孟加拉外卖app对餐厅评论的情感分析

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10100214

Ehsanur Rahman Rhythm, Rajvir Ahmed Shuvo, Md Sabbir Hossain, Md. Farhadul Islam, Annajiat Alim Rasel

{"title":"Sentiment Analysis of Restaurant Reviews from Bangladeshi Food Delivery Apps","authors":"Ehsanur Rahman Rhythm, Rajvir Ahmed Shuvo, Md Sabbir Hossain, Md. Farhadul Islam, Annajiat Alim Rasel","doi":"10.1109/ESCI56872.2023.10100214","DOIUrl":"https://doi.org/10.1109/ESCI56872.2023.10100214","url":null,"abstract":"In this study, we conducted sentiment analysis on restaurant reviews from Bangladeshi food delivery apps using natural language processing techniques. Food delivery apps have become increasingly popular in Bangladesh, and understanding the sentiment of customer reviews can provide valuable insights for restaurant owners and food delivery app companies. In this research, we have created a dataset named “Bangladeshi Restaurant Reviews” by gathering customer reviews of restau-rants available on Foodpanda and Hungrynaki, which are two popular food delivery apps in Bangladesh. We used Robustly Optimized BERT Pretraining Approach (RoBERTa), AFINN, and DistilBERT, a distilled version of Bidirectional Encoder Repre-sentations from Transformers (BERT) to perform the sentiment analysis. Overall, this research paper highlights the importance of sentiment analysis in the food delivery industry and demonstrates the effectiveness of different models in performing this task. It also provides insights for businesses looking to use sentiment analysis to improve their services and products. The accuracy of the models evaluated, RoBERTa, AFINN, and DistilBERT, were 74%, 73 %, and 77 % respectively.","PeriodicalId":441215,"journal":{"name":"2023 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134559939","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

Evaluation of Induction Motor Drives Efficiency using ARM-7 based VSI 基于ARM-7的VSI评估感应电机驱动效率

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10099485

Y. Kirange, Vijay S Patil, Krunalkumar Gandhi, N. S. Mahajan, D. S. Patil, Rupesh S. Patil

{"title":"Evaluation of Induction Motor Drives Efficiency using ARM-7 based VSI","authors":"Y. Kirange, Vijay S Patil, Krunalkumar Gandhi, N. S. Mahajan, D. S. Patil, Rupesh S. Patil","doi":"10.1109/ESCI56872.2023.10099485","DOIUrl":"https://doi.org/10.1109/ESCI56872.2023.10099485","url":null,"abstract":"The industries that are dependent on three-phase power never sustain the single or two phase failure because three-phase power provides greater reliability than that from a single or two-phase power source in today's competitive environment. When any one of the phases in an electrical circuit fails, the equipment it powers is more likely to function improperly, and it could even stop working altogether. There is a discussion in this paper of the development of a ‘Voltage Source Inverter’ for a ‘Three Phase Induction Motor’ that includes a Three Phase Preventer. This inverter has the potential to be applied to a wide variety of industrial applications that demand a continuous three-phase power supply. The goal of this study is to figure out how to build a system that uses a 3 ph. power source to supplement a single-phase one. An Arm-7 controller is programmed for gate pulse of pulse generator, which will allow the desired result to be attained. There is optoisolator and gate driver circuitry attached to this controller, and a MOSFET is used to link it to a power inverter. The foremost goal of this study is to implement a 3 ph. 6 trigger, isolated pulse using an ARM-7 controller. When one of the phases is missing from a three-phase supply in the RYB sequence, this ‘automatic phase selection circuit’ chooses the current phase to consider as a single phase with neutral, protecting a 3 Ph. preventer fortified induction motor from single-phasing damage. The induction motor is powered by 350 volts of three-phase alternating current (AC) that is generated by an inverter circuit. The power circuit transforms 230 V of 1 Ph. AC to DC 350 V. In order to deliver the three-phase variable frequency supply that is essential for adjusting the speed of induction motors in a diversity of manufacturing applications, the circuit has been built.","PeriodicalId":441215,"journal":{"name":"2023 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"520 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134435658","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

Greetings from Hon'ble Minister 来自部长阁下的问候

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/esci56872.2023.10100325

引用次数: 0

Smart Task Board: Complete web accessible solution to modern task management 智能任务板:完整的web访问解决方案，以现代任务管理

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10100154

Shantanu Joshi, P. P. Joshi

引用次数: 0

Transformer-based Arabic Offensive Speech Detection 基于变换的阿拉伯语攻击性语音检测

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10100134

Saja Al-Dabet, A. Elmassry, Ban AlOmar, Abdullah Alshamsi

引用次数: 1

Design of Smart Pet Food Dispenser using Embedded System 基于嵌入式系统的智能宠物食品分配器设计

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10100166

Ekta Jain, Sakshi Badwaik, Sampada Khirwadkar, Shruti Thakare, Mayur Uike, P. Chandankhede

引用次数: 2

An Approach for Copy-Move and Image Splicing Forgery Detection using Automated Deep Learning 基于自动深度学习的复制移动和图像拼接伪造检测方法

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10100202

Krishna H. Hingrajiya, Chintan Patel

引用次数: 0

Integrated Environmental Monitoring and Disease Detection Using Internet of Things 基于物联网的综合环境监测与疾病检测

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10099740

H. R, Diana D C, V. B

引用次数: 0

Real Time Face Recognition Based Attendance System using Multi Task Cascaded Convolutional Neural Network 基于多任务级联卷积神经网络的实时人脸识别考勤系统

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10099879

Vrushaket Chaudhari, Shantanu Jain, Rushikesh R. Chaudhari, Tanvesh Chavan, Priyanka Shahane

引用次数: 1