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 Management of Software-Defined Networking Powered by Artificial Intelligence

2021 ◽  
Author(s):  
Jehad Ali ◽  
Byeong-hee Roh
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Internet Of Things ◽  
Heterogeneous Networks ◽  
Software Defined Networking ◽  
Machine Learning Algorithms ◽  
The Internet ◽  
Underlying Network ◽  
And Control ◽  
The Internet Of Things

Separating data and control planes by Software-Defined Networking (SDN) not only handles networks centrally and smartly. However, through implementing innovative protocols by centralized controllers, it also contributes flexibility to computer networks. The Internet-of-Things (IoT) and the implementation of 5G have increased the number of heterogeneous connected devices, creating a huge amount of data. Hence, the incorporation of Artificial Intelligence (AI) and Machine Learning is significant. Thanks to SDN controllers, which are programmable and versatile enough to incorporate machine learning algorithms to handle the underlying networks while keeping the network abstracted from controller applications. In this chapter, a software-defined networking management system powered by AI (SDNMS-PAI) is proposed for end-to-end (E2E) heterogeneous networks. By applying artificial intelligence to the controller, we will demonstrate this regarding E2E resource management. SDNMS-PAI provides an architecture with a global view of the underlying network and manages the E2E heterogeneous networks with AI learning.

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 '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.

scholarly journals Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China

2021 ◽  
Vol 13 (19) ◽  
pp. 10983
Author(s):  
Ke Wang ◽  
Yafei Zhao ◽  
Rajan Kumar Gangadhari ◽  
Zhixing Li
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Smart City ◽  
Water Distribution ◽  
Smart Cities ◽  
Vital Role ◽  
The Internet ◽  
Causal Relationships ◽  
City Development ◽  
The Internet Of Things

Smart cities play a vital role in the growth of a nation. In recent years, several countries have made huge investments in developing smart cities to offer sustainable living. However, there are some challenges to overcome in smart city development, such as traffic and transportation management, energy and water distribution and management, air quality and waste management monitoring, etc. The capabilities of the Internet of Things (IoT) and artificial intelligence (AI) can help to achieve some goals of smart cities, and there are proven examples from some cities like Singapore, Copenhagen, etc. However, the adoption of AI and the IoT in developing countries has some challenges. The analysis of challenges hindering the adoption of AI and the IoT are very limited. This study aims to fill this research gap by analyzing the causal relationships among the challenges in smart city development, and contains several parts that conclude the previous scholars’ work, as well as independent research and investigation, such as data collection and analysis based on DEMATEL. In this paper, we have reviewed the literature to extract key challenges for the adoption of AI and the IoT. These helped us to proceed with the investigation and analyze the adoption status. Therefore, using the PRISMA method, 10 challenges were identified from the literature review. Subsequently, determination of the causal inter-relationships among the key challenges based on expert opinions using DEMATEL is performed. This study explored the driving and dependent power of the challenges, and causal relationships between the barriers were established. The results of the study indicated that “lack of infrastructure (C1)”, ”insufficient funds (C2)”, “cybersecurity risks (C3)”, and “lack of trust in AI, IoT” are the causal factors that are slowing down the adoption of AI and IoT in smart city development. The inter-relationships between the various challenges are presented using a network relationship map, cause–effect diagram. The study’s findings can help regulatory bodies, policymakers, and researchers to make better decisions to overcome the challenges for developing sustainable smart cities.

scholarly journals Mapping the Role of Digital Health Technologies in Prevention and Control of COVID-19 Pandemic: Review of the Literature

2021 ◽  
Vol 30 (01) ◽  
pp. 026-037
Author(s):  
Binyam Tilahun ◽  
Kassahun Dessie Gashu ◽  
Zeleke Abebaw Mekonnen ◽  
Berhanu Fikadie Endehabtu ◽  
Dessie Abebaw Angaw
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Prevention And Control ◽  
Digital Health ◽  
The Internet ◽  
Health Technologies ◽  
And Control ◽  
The Internet Of Things

Summary Background: Coronavirus Disease (COVID-19) is currently spreading exponentially around the globe. Various digital health technologies are currently being used as weapons in the fight against the pandemic in different ways by countries. The main objective of this review is to explore the role of digital health technologies in the fight against the COVID-19 pandemic and address the gaps in the use of these technologies for tackling the pandemic. Methods: We conducted a scoping review guided by the Joanna Briggs Institute guidelines. The articles were searched using electronic databases including MEDLINE (PubMed), Cochrane Library, and Hinari. In addition, Google and Google scholar were searched. Studies that focused on the application of digital health technologies on COVID-19 prevention and control were included in the review. We characterized the distribution of technological applications based on geographical locations, approaches to apply digital health technologies and main findings. The study findings from the existing literature were presented using thematic content analysis. Results: A total of 2,601 potentially relevant studies were generated from the initial search and 22 studies were included in the final review. The review found that telemedicine was used most frequently, followed by electronic health records and other digital technologies such as artificial intelligence, big data, and the internet of things (IoT). Digital health technologies were used in multiple ways in response to the COVID-19 pandemic, including screening and management of patients, methods to minimize exposure, modelling of disease spread, and supporting overworked providers. Conclusion: Digital health technologies like telehealth, mHealth, electronic medical records, artificial intelligence, the internet of things, and big data/internet were used in different ways for the prevention and control of the COVID-19 pandemic in different settings using multiple approaches. For more effective deployment of digital health tools in times of pandemics, development of a guiding policy and standard on the development, deployment, and use of digital health tools in response to a pandemic is recommended.

scholarly journals Internet of Things at the Service of Bioconstruction

2021 ◽  
Vol 30 (55) ◽  
pp. e12266
Author(s):  
Fabián Ricardo Corredor-Sanchéz ◽  
Juan Sebastián González-Sanabria ◽  
Miguel Ángel Mendoza-Moreno
Keyword(s):  
Internet Of Things ◽  
Green Buildings ◽  
Research Process ◽  
Daily Basis ◽  
The Internet ◽  
Wide Field ◽  
Home Automation ◽  
Sustainable Environment ◽  
And Control ◽  
The Internet Of Things

The Internet of Things (Internet of Things - IoT) approach promotes the interconnection of objects that humans use on a daily basis so that they are administered, controlled and/or monitored through telematic technologies. This paradigm has a wide field of application to support several development schemes in a variety of areas. In the case of construction, there are home automation schemes, but regarding bio-constructions, the myth of incompatibility between digitized systems and “bio” schemes exists. However, bio-constructions require aesthetic, structural, environmental and technological considerations to integrate efficient and friendly systems, contributing to a sustainable environment, generating and regulating the resources of the environment in which they are implemented. In this way, a documentary research process has been developed to determine the degree of applicability of IoT for green buildings. As a result, a set of IoT technologies was identified, which can promote the administration and control of the normatively established agents involved in a bio-construction for living spaces.

The Internet of Things: Making Cities — AndThe Way They Use Technology — Smarter

2016 ◽  
Author(s):  
Wendy W. Fok ◽  
Keyword(s):  
New York ◽  
Internet Of Things ◽  
Energy Use ◽  
Smart Cities ◽  
Traffic Monitoring ◽  
Urban Life ◽  
The Internet ◽  
Time Data ◽  
Heating And Cooling ◽  
The Internet Of Things

Minerva Tantoco was named New York City’s first chief technology officer last year, charged with developing a coordinated citywide strategy on technology and innovation. We’re likely to see more of that as cities around the country, and around the world, consider how best to use innovation and technology to operate as “smart cities.”The work has major implications for energy use and sustainability, as cities take advantage of available, real-time data – from ‘smart’ phones, computers, traffic monitoring, and even weather patterns — to shift the way in which heating and cooling systems, landscaping, flow of people through cities, and other pieces of urban life are controlled. But harnessing Open Innovation and the Internet of Things can promote sustainability on a much broader and deeper scale. The question is, how do you use all the available data to create a more environmentally sound future? The term “Internet of Things” was coined in 1999 by Kevin Ashton, who at the time was a brand manager trying to find a better way to track inventory. His idea? Put a microchip on the packaging to let stores know what was on the shelves.

Development of algorithms for controlling and analyzing data of sugar beet storage processes based on the internet of things and artificial intelligence

2021 ◽  
Author(s):  
A.S. Travov ◽  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Sugar Beet ◽  
The Internet ◽  
Storage Process ◽  
The Internet Of Things ◽  
Storage Processes

This article provides an overview of the decision to improve the field storage of sugar beet. The purpose of development is to preserve the crop. Methods of monitoring volumes of piles and microclimate inside them are considered. The method for obtaining data on volumes of piles and the further use thereof for optimizing the storage process is described.

Sign in / Sign up

Export Citation Format

Share Document