2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET)最新文献_第5页

HHARNet: Taking inspiration from Inception and Dense Networks for Human Activity Recognition using Inertial Sensors HHARNet:从盗梦空间和密集网络中获得灵感，使用惯性传感器进行人类活动识别

2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2020-12-14 DOI: 10.1109/HONET50430.2020.9322655

H. Imran, Usama Latif

引用次数: 6

MTopsOREDC: M Tops KNN for Online Reinforced Electric Device Classification MTopsOREDC: MTops KNN用于增强电气设备在线分类

2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2020-12-14 DOI: 10.1109/HONET50430.2020.9322840

A. Mughal, Azhar Tahir, F. Javed

引用次数: 0

Internet of Things (IoT) and Machine Learning (ML) enabled Livestock Monitoring 物联网(IoT)和机器学习(ML)支持牲畜监测

2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2020-12-14 DOI: 10.1109/HONET50430.2020.9322666

Abdul Aziz Chaudhry, R. Mumtaz, S. M. Hassan Zaidi, M. Tahir, Syed Hassan Muzammil School

{"title":"Internet of Things (IoT) and Machine Learning (ML) enabled Livestock Monitoring","authors":"Abdul Aziz Chaudhry, R. Mumtaz, S. M. Hassan Zaidi, M. Tahir, Syed Hassan Muzammil School","doi":"10.1109/HONET50430.2020.9322666","DOIUrl":"https://doi.org/10.1109/HONET50430.2020.9322666","url":null,"abstract":"Livestock monitoring is one of the growing concerns in the present era mainly owing to the ever- increasing population and the ascending demand for dairy products. Further, to prolong the lifecycle and sustain the quality of livestock, the regular monitoring of cattle health is essential. Several diseases are transmitted from animals to humans, therefore, an early prognosis regarding the cattle health and disease is required. This paper reviews the existing technology-based solutions and related equipment and provides a comparison of the features offered by these systems and their limitations. In addition, we have proposed an Internet of Things (IoT) based real-time system for livestock health monitoring. The proposed system will consist of a custom-designed multi-sensor board to record several physiological parameters including skin temperature, heart rate, and rumination w.r.t surrounding temperature, humidity, and a camera for image analysis to identify different behavioral patterns. The measured data will be sent to the server using Wi-Fi/GSM technology, where data analytics will be performed using machine learning (ML) models to detect sick animals and predict cattle health overtime for providing early and timely medical care. For data visualization, a web portal and a mobile app will be developed, providing a dashboard of services to analyze and display the sensed data.","PeriodicalId":245321,"journal":{"name":"2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127139156","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: 19

Elder Care System using IoT and Machine Learning in AWS Cloud 在AWS云中使用物联网和机器学习的老年护理系统

2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2020-12-14 DOI: 10.1109/HONET50430.2020.9322834

A. Srinivasan, N. Natarajan, Raj Vignesh Karunakaran, R. Elangovan, Abirami Shankar, Padmanaaban M Sabharish, B. S. Sreeja, S. Radha

{"title":"Elder Care System using IoT and Machine Learning in AWS Cloud","authors":"A. Srinivasan, N. Natarajan, Raj Vignesh Karunakaran, R. Elangovan, Abirami Shankar, Padmanaaban M Sabharish, B. S. Sreeja, S. Radha","doi":"10.1109/HONET50430.2020.9322834","DOIUrl":"https://doi.org/10.1109/HONET50430.2020.9322834","url":null,"abstract":"Elder neglect is one of the most prevalent yet underestimated types of elder abuse. It can be associated with adverse health outcomes for the elders. IoT -based elder care systems have been widely used in today's scenario; however, the existing systems require a manual operation by the elders, which is not practical during emergency situations. The presented work is an entirely autonomous alerting system which does not require manual operation by the elder. It has a wearable module consisting of sensors connected to an ESP32 and a home module consisting of an IoT Camera connected to a Raspberry-Pi. Body vitals collected through the sensors are processed using machine learning in the Amazon Web Services cloud. If an abnormality is detected, alerts are sent to the caregivers. Other key functionalities such as vital monitoring, fall detection, and location tracking are also implemented. Computer Vision has been employed to address everyday challenges such as irregular medicine intake.","PeriodicalId":245321,"journal":{"name":"2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127341849","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: 5

5G NR MIMO Enabled MultiBand Fiber Wireless System using Analog Optical Front Haul 5G NR MIMO多频带光纤无线系统使用模拟光前传输

2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2020-12-14 DOI: 10.1109/HONET50430.2020.9322818

M. Hadi, Salman Ghaffar, G. Murtaza

引用次数: 3

[Copyright notice] (版权)

2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2020-11-09 DOI: 10.1109/honet50430.2020.9322838

引用次数: 0