2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)最新文献_第7页

Permissioned Blockchain-based Security for IIoT 基于区块链的工业物联网许可安全性

2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2020-09-01 DOI: 10.1109/IEMTRONICS51293.2020.9216343

Samira Yeasmin, A. Baig

{"title":"Permissioned Blockchain-based Security for IIoT","authors":"Samira Yeasmin, A. Baig","doi":"10.1109/IEMTRONICS51293.2020.9216343","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216343","url":null,"abstract":"Industrial Internet of Things (IIoT) is one of the most trending topics in the present world. It has numerous benefits and its potentiality is unfolding gradually. The implementation of IIoT in mission and safety-critical systems has shown its significance. Since it deals with important and sensitive information, an extensive study is required to address the susceptibility of it towards security issues. Therefore, there have been many proposals to use certificateless signature scheme, machine learning approaches, public key encryption as well as blockchain to improve the security of IIoT. It is important to note that blockchain is playing a significant role in the IIoT technology where the important characteristics of blockchain, immutability, decentralization, tamper-proof, have made a profound impact on the security vulnerabilities of IIoT. Taking this into account, this paper proposes a permissioned blockchain for IIoT that addresses and guarantees to ensure and improve the security vulnerabilities and susceptibility of IIoT towards cyber threats. The permissioned blockchain enabled IIoT ensures a secure medium for device communication, data sharing, and access control. This paper also discusses the security issues of IIoT and presents a comprehensive analysis of some of the proposed blockchain based solutions to improve IIoT security challenges. It addresses the benefits of a permissioned blockchain enabled IIoT over a public blockchain as well as presents a future direction for the upcoming integration of blockchain with IIoT and other industries.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124610187","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: 8

A Study on The Financial and Entrepreneurial Risks of Small Business Owners Amidst COVID-19 新冠肺炎背景下小企业主财务风险与创业风险研究

2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2020-09-01 DOI: 10.1109/IEMTRONICS51293.2020.9216384

A. Kyung, S. Whitney

{"title":"A Study on The Financial and Entrepreneurial Risks of Small Business Owners Amidst COVID-19","authors":"A. Kyung, S. Whitney","doi":"10.1109/IEMTRONICS51293.2020.9216384","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216384","url":null,"abstract":"The economy suffered a major loss when COVID-19 hit due to business shutdowns. Repercussions from economic downfall due to closed businesses from social distance policies has made many small businesses lose operation mechanisms and see a decrease in profit and sales. Many people lost their jobs due to businesses losses a record 22 million employees have filed for unemployment. In this paper, how the COVID-19 epidemic has changed people’s behaviors and changed the way people shop. As more people are shopping online to avoid at risk situations at busy stores, small businesses are seeing losses in sales and customers. Also we studied when they rely on small profits margins, how the small businesses have suffered the worst losses, seeing a decrease in business sales and a lower revenue margin. This research shows how social distance policy has especially affected businesses vulnerable to COVID-19 risks. This often includes businesses that have large groups of people in close quarters or highly susceptible relationships that increase the risks of spreading the illness, such as restaurants or retail stores. Government help has been recommended especially for small businesses and workers who are most vulnerable to economic losses.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115530614","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: 6

Neural Network Based Corn Field Furrow Detection for Autonomous Navigation in Agriculture Vehicles 基于神经网络的农用车辆自主导航玉米地沟检测

2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2020-09-01 DOI: 10.1109/IEMTRONICS51293.2020.9216347

Niko Anthony Simon, Cheol-Hong Min

{"title":"Neural Network Based Corn Field Furrow Detection for Autonomous Navigation in Agriculture Vehicles","authors":"Niko Anthony Simon, Cheol-Hong Min","doi":"10.1109/IEMTRONICS51293.2020.9216347","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216347","url":null,"abstract":"Row detection in agricultural applications has commonly used Hough transform techniques and traditional signal processing based approaches relating to machine vision. There are various learning based methods available that are capable of producing similar results in terms of detection. In this paper, a neural network based algorithm is developed, and we compare the Hough transform and a machine learning implementation with the proposed approach to determine which would be the most appropriate in a real-time application given a variety of factors including computational performance, accuracy, and environmental variability. Compared to the learning based approaches which rely on training data, Hough transform based detection relies on a variety of processes, including binarization and denoising, which are not required to be explicitly implemented in the machine learning or neural network models. Additionally, to add another layer of diversity to the three possible solutions examined is the consideration for color input data. The Hough transform method and the neural network model implemented both require color input data while the machine learning model relies on texture features instead of color to make its classification predictions. Compared to the traditional image understanding techniques, autonomous vehicles face challenges due to similarities in color and texture between the crops and their surroundings. Therefore, the algorithm is developed to overcome such challenges. Preliminary results show that the neural network model developed was found to offer the most versatility compared to traditional methods and the highest accuracy on the order of 97% for this application across several different input conditions.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124931967","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

Multiple Objects Tracking using Radar for Autonomous Driving 基于雷达的自动驾驶多目标跟踪

2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2020-09-01 DOI: 10.1109/IEMTRONICS51293.2020.9216363

Muhamamd Ishfaq Hussain, Shoaib Azam, Farzeen Munir, Zafran Khan, M. Jeon

引用次数: 10

Design of a ‘U’ Slot Substrate-Integrated Waveguide Cavity-Backed Self-Diplexing Antenna “U”槽基板集成波导腔背自双工天线的设计

2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2020-09-01 DOI: 10.1109/IEMTRONICS51293.2020.9216367

R. Gayen, Payel Midya, Sutanu Ghosh, K. Patra, M. Gangopadhyay

引用次数: 1

An Efficient Approach for Task Assignment in Spatial Crowdsourcing 空间众包中的一种高效任务分配方法

2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2020-09-01 DOI: 10.1109/IEMTRONICS51293.2020.9216447

E. Aloufi, Raed Alharthi, M. Zohdy, Dareen Alsulami, Ibrahim Alrashdi, Richard Olawoyin

引用次数: 0

TiO2-GO Field Effect Transistors for Amplified Ethanol Sensing 用于放大乙醇传感的TiO2-GO场效应晶体管

2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2020-09-01 DOI: 10.1109/IEMTRONICS51293.2020.9216457

Teena Gakhar, A. Hazra

引用次数: 0

An Automated System to Limit COVID-19 Using Facial Mask Detection in Smart City Network 智慧城市网络中基于口罩检测的新型冠状病毒自动控制系统

2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2020-09-01 DOI: 10.1109/IEMTRONICS51293.2020.9216386

Mohammad Marufur Rahman, Md. Motaleb Hossen Manik, Md. Milon Islam, Saifuddin Mahmud, Jong-Hoon Kim

{"title":"An Automated System to Limit COVID-19 Using Facial Mask Detection in Smart City Network","authors":"Mohammad Marufur Rahman, Md. Motaleb Hossen Manik, Md. Milon Islam, Saifuddin Mahmud, Jong-Hoon Kim","doi":"10.1109/IEMTRONICS51293.2020.9216386","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216386","url":null,"abstract":"COVID-19 pandemic caused by novel coronavirus is continuously spreading until now all over the world. The impact of COVID-19 has been fallen on almost all sectors of development. The healthcare system is going through a crisis. Many precautionary measures have been taken to reduce the spread of this disease where wearing a mask is one of them. In this paper, we propose a system that restrict the growth of COVID-19 by finding out people who are not wearing any facial mask in a smart city network where all the public places are monitored with Closed-Circuit Television (CCTV) cameras. While a person without a mask is detected, the corresponding authority is informed through the city network. A deep learning architecture is trained on a dataset that consists of images of people with and without masks collected from various sources. The trained architecture achieved 98.7% accuracy on distinguishing people with and without a facial mask for previously unseen test data. It is hoped that our study would be a useful tool to reduce the spread of this communicable disease for many countries in the world.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"2020 35","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132678560","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: 111

An Application of IoT for Conduct of Laboratory Experiment from Home 物联网在家庭实验室实验中的应用

2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2020-09-01 DOI: 10.1109/IEMTRONICS51293.2020.9216375

Tri Vien Tran, H. Takahashi, T. Narabayashi, H. Kikura

引用次数: 4

Implementation of an Informative Website – "Covid19 Predictor", Highlighting COVID-19 Pandemic Situation in India 实施信息网站-“COVID-19预测器”，重点介绍印度的COVID-19大流行情况

2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) Pub Date : 2020-09-01 DOI: 10.1109/IEMTRONICS51293.2020.9216352

Shuvankar Roy, M. Pal, Sonali Bhattacharyya, Srirup Lahiri

引用次数: 2