Powerful Internet of Things Connectivity Enabled Intelligent Building Using Machine Learning

2020 ◽  
Vol 17 (8) ◽  
pp. 3621-3626
Author(s):  
Rishi Agarwal ◽  
Rahul Iyer ◽  
A. Vinnarasi ◽  
Hari Chandan Gooda ◽  
Vibhor Aggarwal

In the ever-so-growing technological world, the Internet of things is one of the most prevalent technologies that is being utilized in offices, hospitals, and even at homes. However, IoT, when integrated with other technologies, becomes more powerful and user interactive. Our system utilizes microcontroller (NodeMCU) as a Wifi based gateway which would connect different sensors with cloud-based servers and unlike conventional automation, face recognition would be introduced in IoT frameworks for room personalization, along with communication among the appliances, which will be beyond the interaction with the internet. The focus is to minimize human intervention and personalize it as accurately as possible. People accessing a room will have different settings for an archetype. For each person, the settings of the room will be altered using facial recognition. The machine learning would consist of two classes, i.e., known and unknown. For an unknown person approaching a room, a notification will be sent to the administrator. The collective data received from sensors (temperature, pressure, gas, humidity, current, and potentiometer) will be monitored and controlled using relays connected with Arduino which transfers data to the cloud through NodeMCU.

Telecom IT ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 50-55
Author(s):  
D. Saharov ◽  
D. Kozlov

The article deals with the СoAP Protocol that regulates the transmission and reception of information traf-fic by terminal devices in IoT networks. The article describes a model for detecting abnormal traffic in 5G/IoT networks using machine learning algorithms, as well as the main methods for solving this prob-lem. The relevance of the article is due to the wide spread of the Internet of things and the upcoming update of mobile networks to the 5g generation.


2021 ◽  
Vol 19 (3) ◽  
pp. 163
Author(s):  
Dušan Bogićević

Edge data processing represents the new evolution of the Internet and Cloud computing. Its application to the Internet of Things (IoT) is a step towards faster processing of information from sensors for better performance. In automated systems, we have a large number of sensors, whose information needs to be processed in the shortest possible time and acted upon. The paper describes the possibility of applying Artificial Intelligence on Edge devices using the example of finding a parking space for a vehicle, and directing it based on the segment the vehicle belongs to. Algorithm of Machine Learning is used for vehicle classification, which is based on vehicle dimensions.


Author(s):  
S. Kavitha ◽  
J. V. Anchitaalagammai ◽  
S. Nirmala ◽  
S. Murali

The chapter summarizes the concepts and challenges of DevOps in IoT, DevSecOps in IoT, integrating security into IoT, machine learning and AI in IoT of software engineering practices. DevOps is a software engineering culture and practice that aims at unifying software development (Dev) and software operation (Ops). The main characteristic of DevOps is the automation and monitoring at all steps of software construction, from integration, testing, releasing to deployment and infrastructure management. DevSecOps is a practice of integrating security into every aspect of an application lifecycle from design to development.


Author(s):  
Fausto E. Jacome

Emerging technologies such as machine learning, the cloud, the internet of things (IoT), social web, mobility, robotics, and blockchain, among others, are powering a technological revolution in such a way that are transforming all human activities. These new technologies have generated creative ways of offering goods and services. Today's consumers demand in addition to quality, innovation, a real-time and ubiquitous service. In this context, what is the challenge that academy faces? What is the effect of these new technologies on the universities mission? What are people's expectations about academy in this new era? This chapter tries to get answers to these questions and explain how these emerging technologies are converting universities to lead society transformation to the digital age. Under this new paradigm, there are only two roads: innovate or perish. As might be expected universities are embracing these technologies for innovating themselves.


2021 ◽  
pp. 307-327
Author(s):  
Mohammed H. Alsharif ◽  
Anabi Hilary Kelechi ◽  
Imran Khan ◽  
Mahmoud A. Albreem ◽  
Abu Jahid ◽  
...  

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