In Search of the Future Technologies: Fusion of Machine Learning, Fog and Edge Computing in the Internet of Things

2019 ◽  
pp. 278-285 ◽  
Author(s):  
Soumyalatha Naveen ◽  
Manjunath R. Kounte
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Edge Computing ◽  
The Internet ◽  
The Future ◽  
Future Technologies ◽  
The Internet Of Things

Detecting Abnormal Behavior of an IoT Device in the Network Based on a Traffic Model

Telecom IT ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 50-55
Author(s):  
D. Saharov ◽  
D. Kozlov
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Mobile Networks ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Abnormal Behavior ◽  
Traffic Model ◽  
The Internet ◽  
Wide Spread ◽  
The Internet Of Things

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.

scholarly journals IMPROVING INTERNET OF THINGS PARKING SYSTEMS

2021 ◽  
Vol 19 (3) ◽  
pp. 163
Author(s):  
Dušan Bogićević
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Information Needs ◽  
Vehicle Classification ◽  
The Internet ◽  
Parking Space ◽  
Automated Systems ◽  
The Internet Of Things

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.

scholarly journals Narratives about the internet of things: an exploratory study of the articles published in Folha online between 2011 and 2016

Intexto ◽  
2019 ◽  
pp. 139-165
Author(s):  
André Luiz Martins Lemos ◽  
Daniel Góis Rabêlo Marques ◽  
Elias Cunha Bitencourt
Keyword(s):  
Internet Of Things ◽  
Exploratory Study ◽  
Sao Paulo ◽  
The Internet ◽  
São Paulo ◽  
Economic Issues ◽  
The Future ◽  
Privacy Issues ◽  
The Internet Of Things

The article describes how the Brazilian media shows the Internet of Things. The corpus is composed of 165 texts of Folha de São Paulo published online between 2011 and 2016. A data scraping tool was developed to extract the texts, which were analyzed using Atlas.ti. As criterion of analysis, we sought to identify the most cited objects, the qualities attributed to them, as well as the most recurrent IoT definitions. We also observed the main themes found in the texts and the judgment implied by the articles. We conclude that IoT is defined by the connectivity between intelligent objects, linked to technical and economic issues and to the imaginary of the future. These objects work mostly in the residential, health and transportation areas. Privacy issues still do not dominate the discussions.

scholarly journals The 'Future Internet' and crime: Towards a criminology of the Internet of Things

Crimen ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 255-271
Author(s):  
Sanja Milivojević ◽  
Elizabeth Radulski
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Future Internet ◽  
Natural World ◽  
The Internet ◽  
Starting Point ◽  
The Future ◽  
Emerging Issues ◽  
Smart Things ◽  
The Internet Of Things

The Internet of Things (IoT) is poised to revolutionise the way we live and communicate, and the manner in which we engage with our social and natural world. In the IoT, objects such as household items, vending machines and cars have the ability to sense and share data with other things, via wireless, Bluetooth, or Radio Frequency IDentification (RFID) technology. "Smart things" have the capability to control their performance, as well as our experiences and decisions. In this exploratory paper, we overview recent developments in the IoT technology, and their relevance for criminology. Our aim is to partially fill the gap in the literature, by flagging emerging issues criminologists and social scientists ought to engage with in the future. The focus is exclusively on the IoT while other advances, such as facial recognition technology, are only lightly touched upon. This paper, thus, serves as a starting point in the conversation, as we invite scholars to join us in forecasting-if not preventing-the unwanted consequences of the "future Internet".

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