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IoT-Enabled Wireless Mobile Ad-Hoc Networks 支持物联网的无线移动自组网
Internet of things (Amsterdam, Netherlands)
Pub Date : 2022-01-10 DOI: 10.1201/9781003181613-10
Manwinder Singh, Navdeep Kaur Jhajj, Anudeep Goraya
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引用次数: 1
E-learning with Internet of Things 物联网的电子学习
Internet of things (Amsterdam, Netherlands)
Pub Date : 2022-01-10 DOI: 10.1201/9781003181613-14
Arun K. Kumar, Shivani Sharma, Sachin Dhawan, Nitin Goyal, S. Tripathi, S. Kajal
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引用次数: 1
Advanced Technologies in IoT for Development of Smart Cities 发展智慧城市的先进物联网技术
Internet of things (Amsterdam, Netherlands)
Pub Date : 2022-01-10 DOI: 10.1201/9781003181613-17
R. G. Deshmukh
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引用次数: 0
Artificial Intelligence Advanced Technology IoT, 5G Robots, and Drones to Combat COVID-19 人工智能先进技术物联网、5G机器人和无人机抗击新冠肺炎
Internet of things (Amsterdam, Netherlands)
Pub Date : 2022-01-10 DOI: 10.1201/9781003181613-13
K. R. Padmaand, K. R. Don
Advancements in machine learning (ML) and deep learning in sectors of science and technology related to data science contribute toward battling COVID-19. The present aim of artificial intelligence (AI) technology to practice warfare against COVID-19 upheaval in various aspects of handling the disease includes utilizing a disease-tracking system, sample collection, and providing required needs to infected persons. This chapter portrays different Internet of Things (IoT), 5G robotics, as well as prompt health-related tracking drones. The drones were helpful in saving several human lives. In addition, we offer a transitory examination of the different AI technology, such as IoT, 5G robots, smartphones, and deep learning, in tackling the COVID-19 pandemic and further recommend approaching research directions. Although the ongoing progress globally to combat the COVID-19 pandemic continues, several complementary efforts have been initiated with advanced AI technologies. The modern technology progression is a boon in improving people's lives. Until a permanent cure for such a pandemic disease, AI technology is the apt software to detect an infected persons at a robust rate. Thus, AI at present is the most significant technique in combating/identifying/preventing the disease. © 2022 selection and editorial matter, Arun Kumar Rana, Nitin Goyal, Sharad Sharma, Suman Lata Tripathi.
与数据科学相关的科学技术领域的机器学习（ML）和深度学习的进步有助于抗击新冠肺炎。人工智能（AI）技术在处理疾病的各个方面实践对抗新冠肺炎动荡的当前目标包括利用疾病追踪系统、样本收集和为感染者提供所需的需求。本章介绍了不同的物联网（IoT）、5G机器人以及与健康相关的即时跟踪无人机。这些无人机帮助挽救了几个人的生命。此外，我们对不同的人工智能技术，如物联网、5G机器人、智能手机和深度学习，在应对新冠肺炎大流行方面进行了短暂的研究，并进一步建议研究方向。尽管全球抗击新冠肺炎疫情的持续进展仍在继续，但先进的人工智能技术已经启动了几项补充工作。现代技术的进步对改善人们的生活大有裨益。在永久治愈这种流行病之前，人工智能技术是以强大的速度检测感染者的合适软件。因此，人工智能是目前对抗/识别/预防该疾病最重要的技术。©2022年评选和编辑，Arun Kumar Rana、Nitin Goyal、Sharad Sharma、Suman Lata Tripathi。
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引用次数: 0
Smart Cities and the Use of Internet of Drone Things (IoDT) 智能城市与无人机物联网（IoDT）的使用
Internet of things (Amsterdam, Netherlands)
Pub Date : 2022-01-10 DOI: 10.1201/9781003181613-3
Yashonidhi Srivastava, Sahil Virk, Souvik Ganguli, S. Tripathi
The chapter addresses a comprehensive review of the Internet of Drone Technology (IoDT) and its advancements in different spheres of our daily life with special focus on smart cities. To be more specific, this chapter explores Internet usage in drone technology corresponding to the scenario of intelligent cities. There has also been discussion about the use of IoDT in unmanned vehicles. The chapter also addresses IoDT concerns related to security and communication. Additional IoDT implementations have been addressed in various agricultural usages. It also discusses the usage of IoT-based drone technology to fight against flood and fire outbreaks, and highlights some future changes that can be explored in this field. Some of the new fields that can be enhanced by IoT-backed drone technology are unique applications like traffic management, control of unmanned vehicles, assistance in emergency corridors, intelligent production as well as agricultural development, disaster management, and, last but not least, the management of COVID outbreak. © 2022 selection and editorial matter, Arun Kumar Rana, Nitin Goyal, Sharad Sharma, Suman Lata Tripathi.
本章全面回顾了无人机技术互联网(IoDT)及其在我们日常生活的不同领域的进步，特别关注智慧城市。更具体地说，本章探讨了与智能城市场景相对应的无人机技术中的互联网使用。也有关于在无人驾驶车辆中使用碘的讨论。本章还讨论了与安全和通信有关的IoDT问题。在各种农业用途中已经讨论了其他碘替代实施。它还讨论了使用基于物联网的无人机技术来对抗洪水和火灾的爆发，并强调了该领域可以探索的一些未来变化。物联网支持的无人机技术可以增强的一些新领域是独特的应用，如交通管理、无人驾驶车辆控制、应急走廊援助、智能生产和农业发展、灾害管理，以及最后但并非最不重要的，COVID疫情的管理。©2022选择和编辑事项，Arun Kumar Rana, Nitin Goyal, Sharad Sharma, Suman Lata Tripathi。
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引用次数: 0
GaAs Nanostructure-Based Solar Cells with Enhanced Light-Harvesting Efficiency 基于砷化镓纳米结构的光收集效率提高的太阳能电池
Internet of things (Amsterdam, Netherlands)
Pub Date : 2022-01-10 DOI: 10.1201/9781003181613-16
D. Prashant, D. P. Samajdar
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引用次数: 0
Affective Computing for eHealth Using Low-Cost Remote Internet of Things-Based EMG Platform 基于低成本远程物联网EMG平台的电子健康情感计算
Internet of things (Amsterdam, Netherlands)
Pub Date : 2022-01-01 DOI: 10.1007/978-3-030-81473-1_3
Žygintas Tamulis, M. Vasiljevas, R. Damaševičius, R. Maskeliūnas, Sanjay Misra
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引用次数: 8
Integrating IoT and AI for Indoor Air Quality Assessment 结合物联网和人工智能进行室内空气质量评估
Internet of things (Amsterdam, Netherlands)
Pub Date : 2022-01-01 DOI: 10.1007/978-3-030-96486-3
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引用次数: 7
A Fog-Based Intelligent Secured IoMT Framework for Early Diabetes Prediction 基于雾的早期糖尿病预测智能安全IoMT框架
Internet of things (Amsterdam, Netherlands)
Pub Date : 2022-01-01 DOI: 10.1007/978-3-030-81473-1_10
Dukka Karun Kumar Reddy, H. Behera, Janmenjoy Nayak, A. Routray, P. S. Kumar, Uttam Ghosh
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引用次数: 4
QoS and Energy Efficiency Using Green Cloud Computing 使用绿色云计算的QoS和能效
Internet of things (Amsterdam, Netherlands)
Pub Date : 2022-01-01 DOI: 10.1007/978-3-030-81473-1_14
Riman Mandal, Sourav Banerjee, Md Bagbul Islam, Pushpita Chatterjee, U. Biswas
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引用次数: 2
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