Internet of Things and Artificial Intelligence-Enabled Secure Autonomous Vehicles for Smart Cities

2021 ◽  
pp. 201-218
Author(s):  
D. A. Janeera ◽  
S. Sheeba Rani Gnanamalar ◽  
K. C. Ramya ◽  
A. G. Aneesh Kumar
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Autonomous Vehicles ◽  
Smart Cities

When Wearable Computing Meets Smart Cities

2019 ◽  
pp. 1356-1376 ◽  
Author(s):  
João Soares de Oliveira Neto ◽  
André Luis Meneses Silva ◽  
Fábio Nakano ◽  
José J. Pérez-Álcazar ◽  
Sergio T. Kofuji
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Urban Space ◽  
Universal Design ◽  
Smart Cities ◽  
Wearable Computing ◽  
Future Research ◽  
Successful Implementation ◽  
Persons With Disabilities

In this chapter, wearables are presented as assistive technology to support persons with disabilities (PwD) to face the urban space in an autonomous and independently way. In the Inclusive Smart City (ISC), everyone has to be able to access visual and audible information that so far are available just for people that can perfectly see and listen. Several concepts and technologies – such as Accessibility and Universal Design, Pervasive Computing, Wearable Computing, Internet of Things, Artificial Intelligence, and Cloud Computing – are associated to achieve this aim. Also, this chapter discusses some examples of use of wearables in the context of Smart Cities, states the importance of these devices to the successful implementation of Inclusive Smart Cities, as well as presenting challenges and future research opportunities in the field of wearables in ISC.

Artificial Intelligence powered Internet of Things and smart public service

2019 ◽  
Vol 38 (1) ◽  
pp. 165-179 ◽  
Author(s):  
Ying Ma ◽  
Kang Ping ◽  
Chen Wu ◽  
Long Chen ◽  
Hui Shi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Public Service ◽  
Smart Cities ◽  
Machine Learning Algorithms ◽  
The Internet ◽  
Content Type ◽  
Academic Fields ◽  
The Internet Of Things

Purpose The Internet of Things (IoT) has attracted a lot of attention in both industrial and academic fields for recent years. Artificial intelligence (AI) has developed rapidly in recent years as well. AI naturally combines with the Internet of Things in various ways, enabling big data applications, machine learning algorithms, deep learning, knowledge discovery, neural networks and other technologies. The purpose of this paper is to provide state of the art in AI powered IoT and study smart public services in China. Design/methodology/approach This paper reviewed the articles published on AI powered IoT from 2009 to 2018. Case study as a research method has been chosen. Findings The AI powered IoT has been found in the areas of smart cities, healthcare, intelligent manufacturing and so on. First, this study summarizes recent research on AI powered IoT systematically; and second, this study identifies key research topics related to the field and real-world applications. Originality/value This research is of importance and significance to both industrial and academic fields researchers who need to understand the current and future development of intelligence in IoT. To the best of authors’ knowledge, this is the first study to review the literature on AI powered IoT from 2009 to 2018. This is also the first literature review on AI powered IoT with a case study of smart public service in China.

scholarly journals A Survey on the AI and Spectrum Management for Cache-Enabled Internet of Things in Smart Cities

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Liming Chen ◽  
Xiaoyun Kuang ◽  
Fusheng Zhu ◽  
Lijia Lai ◽  
David Fan
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Smart Cities ◽  
Spectrum Management ◽  
Wireless Transmission ◽  
Real Time Processing ◽  
Comprehensive Survey ◽  
Feasible Solutions ◽  
Limited Spectrum ◽  
New Applications

In this paper, we provide a comprehensive survey for the artificial intelligence and spectrum management, which are used for cache-enabled Internet of Things (IoT) in smart cities. In smart cities, there emerge a lot of new applications such as data collection and communication, environment monitoring, and real-time processing, which cannot be supported by the conventional wireless transmission techniques. Hence, some new wireless transmission techniques should be developed to support the emerging applications in smart cities. In this survey, we focus on the artificial intelligence, spectrum management, and caching techniques, where the interference arises due to the limited spectrum resources. In particular, we first review the current research status of these new techniques and, then, give some challenges on the system design. We further provide several feasible solutions on these challenges, in order to implement the IoT networks in smart cities. Finally, we conclude the work in the part of conclusions and give some discussions on the future works.

scholarly journals 'How will the 'internet of things' impact delivery and training of surgery? Are we heading for a global surgical reticulum?’

Res Medica ◽  
2017 ◽  
Vol 24 (1) ◽  
pp. 103-105
Author(s):  
Halimat Afolabi
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Smart Cities ◽  
The Internet ◽  
Self Driving Cars ◽  
The Internet Of Things ◽  
And Training

From self-driving cars to smart cities, the internet of things (IOT) promises to revolutionise every aspect of our lives. IOT refers to any device that is able to collect and transmit data via the internet. The excitement surrounding the field is spurred by the marriage of IOT and artificial intelligence (AI), which will lead to ‘smarter’ and more personalised devices. IOT technology has already begun to infiltrate several industries and healthcare is no exception. In this essay I will outline existing and potential impacts of IOT technology in the delivery and training of surgery.

BIM Bin

2021 ◽  
pp. 265-294
Author(s):  
Ricardo Codinhoto ◽  
Olivia Becher ◽  
Jonathan Neil Heron ◽  
Vincenzo Donato
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Large Scale ◽  
Smart Cities ◽  
Facilities Management ◽  
Information Modelling ◽  
Smart Systems ◽  
Digital Twins ◽  
Management Processes ◽  
Big Picture

A groundswell of opinion exist about the present and future use of smart cities and digital twin technologies and processes and, despite increasing use of information modelling, artificial intelligence, and internet of things, many challenges remain in designing and implement integrated smart systems in large scale contexts. Often, the big picture is shadowed by fragmented processes, and there is a disconnect between the problem and the solution. This chapter aims to address this inverted approach, based on a solution looking for a problem by focusing on the problems of developing integrated solutions for smart cities based on digital twins. The narrative in this chapter is informed by a research project exploring the digitalisation of facilities management processes in Bath, UK. The conclusion is that the development of digital twins goes far beyond linking digital models to sensors.

Internet of Things based Automation using Artificial Intelligence

2018 ◽  
Vol 6 (7) ◽  
pp. 142
Author(s):  
Chandra Sekar B ◽  
Nikhil K S ◽  
Raju K N ◽  
Sanjay M ◽  
Chandrappa D N
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Smart Cities ◽  
The Internet ◽  
Home Automation ◽  
Web Page ◽  
Ip Address ◽  
And Control ◽  
The Internet Of Things ◽  
Exchange Data

The  Internet of Things(IoT)  has become a hot topic in the present tech-driven world. Internet of Things is one of the promising technology used to control objects connected to Internet through IP address, which enables objects to collect and exchange data. Internet of Things is expanding itself into different areas. Home Automation is one of the trend in application of IoT for realizing smart cities. In the paper, we are developing a system which will control through MQTT protocol. MQTT has been utilized as a platform to provide IoT services which will monitor the applications and generate alerts or take intelligent decisions using concept of IoT. Nodemcu was used as aIoT end device connecting relays to the platform via wifi channel. Home scenario is created and designed IoT messages satisfying the scenario requirement. We also implemented Automation through HTML web page. A main contribution of this paper is that it summarizes uses of Intenet of Things in Home Automation with Artificial Intelligence to monitor and control the appliances.

scholarly journals Redefining smartness in township with Internet of Things & Artificial Intelligence: Dholera city

2020 ◽  
Vol 170 ◽  
pp. 06001
Author(s):  
Raghav Bang ◽  
Manish Patel ◽  
Vasu Garg ◽  
Vishal Kasa ◽  
Jyoti Malhotra ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Water Management ◽  
Internet Of Things ◽  
Waste Management ◽  
Smart City ◽  
Smart Grids ◽  
Carbon Dioxide Emissions ◽  
Smart Cities ◽  
Urban City ◽  
The City

Internet of Things (IoT) with Artificial Intelligence (AI) has the virtue to address the key challenges encountered by the excessive Urban population; contributing to water management, waste management, energy crisis, and many such affairs. The urban city has reached the level of water scarcity with no adequate water supply. The lack of interconnectivity within the city also leads to severe consequences, such as delayed responses to emergency situations along with irregular traffic and infrastructure management. “Dholera” the futuristic city attempt to solve these issues. Dholera is the biggest and India’s first upcoming greenfield smart city solution developed under the Delhi Mumbai Industrial Corridor (DMIC) project in Gujarat, India. We have analyzed a few domains from this township project, to mention a few - Water Management, Waste Management, City Integrated Operation Centre (CIOC) and City portal. This paper spotlights on the novel ideas enhancing the smart city features and the working. Automating the city resources using futuristic technologies like big data analytics, Artificial Intelligence (AI) and the Internet of Things (IoT) would make the city well-functioning. In Dholera city, various sensors are mounted and interconnected to collect the data, monitor it, and communicate the values for dynamic action(s). Dholera has AI-based urban transportation, smart grids, renewable energy, solar power, waste and water management, along with urban farming, contributing to a reduction in carbon dioxide emissions and improving energy, water and managing traffic issues effectively. Smart cities are well classified as the growth bar contributing to the universal economy. This paper presents various models making the Dholera city a Fast Responsive, Sustainable, Intelligent and well-connected township.

Sign in / Sign up

Export Citation Format

Share Document