scholarly journals Cognitive IoT-Based e-Learning System: Enabling Context-Aware Remote Schooling during the Pandemic

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Atef Zaguia ◽  
Darine Ameyed ◽  
MohamedAmime Haddar ◽  
Omar Cheikhrouhou ◽  
Habib Hamam
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Driving Force ◽  
Learning Experience ◽  
Direct Result ◽  
The Internet ◽  
Context Aware ◽  
E Learning ◽  
The Internet Of Things ◽  
Remote Learning

The 2019–2020 coronavirus pandemic had far-reaching consequences beyond the spread of the disease and efforts to cure it. Today, it is obvious that the pandemic devastated key sectors ranging from health to economy, culture, and education. As far as education is concerned, one direct result of the spread of the pandemic was the resort to suspending traditional in-person classroom courses and relying on remote learning and homeschooling instead, by exploiting e-learning technologies, but many challenges are faced by these technologies. Most of these challenges are centered around the efficiency of these delivery methods, interactivity, and knowledge testing. These issues raise the need to develop an advanced smart educational system that assists home-schooled students, provides teachers with a range of smart new tools, and enable a dynamic and interactive e-learning experience. Technologies like the Internet of things (IoT) and artificial intelligence (AI), including cognitive models and context-awareness, can be a driving force in the future of e-learning, opening many opportunities to overcome the limitation of the existing remote learning systems and provide an efficient reliable augmented learning experience. Furthermore, virtual reality (VR) and augmented reality (AR), introduced in education as a way for asynchronous learning, can be a second driving force of future synchronous learning. The teacher and students can see each other in a virtual class even if they are geographically spread in a city, a country, or the globe. The main goal of this work is to design and provide a model supporting intelligent teaching assisting and engaging e-learning activity. This paper presents a new model, ViRICTA, an intelligent system, proposing an end-to-end solution with a stack technology integrating the Internet of things and artificial intelligence. The designed system aims to enable a valuable learning experience, providing an efficient, interactive, and proactive context-aware learning smart services.

scholarly journals E-Learning Development Based on Internet of Things and Blockchain Technology during COVID-19 Pandemic

Mathematics ◽  
2021 ◽  
Vol 9 (24) ◽  
pp. 3151
Author(s):  
Amir Masoud Rahmani ◽  
Rizwan Ali Naqvi ◽  
Mazhar Hussain Malik ◽  
Tauqeer Safdar Malik ◽  
Mahyar Sadrishojaei ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Online Education ◽  
New Technologies ◽  
Learning Experience ◽  
Skin Resistance ◽  
Smart Devices ◽  
The Internet ◽  
Digital World ◽  
E Learning ◽  
The Internet Of Things

The suspension of institutions around the world in early 2020 due to the COVID-19 virus did not stop the learning process. E-learning concepts and digital technologies enable students to learn from a safe distance while continuing their educational pursuits. Currently, the Internet of Things (IoT) is one of the most rapidly increasing technologies in today’s digital world; and e-learning is one of the most powerful learning methods available. In today’s world, smart devices and new technologies assist teachers in concentrating on new models of student learning while avoiding time wastage. By examining the characteristics of the Internet of Things and the challenges that exist in the field of e-learning, the potential functions, benefits, and advancements of utilizing the Internet of Things in online education are identified and discussed. This article examines the existing and future condition of the Internet of Things world as it pertains to the topic of education and sophisticated capabilities available through the Internet of Things that enable the application of e-learning after an architecture has been designed. Students’ pulse rates, brain waves, and skin resistance are measured in real time by a collection of IoT sensors, including cameras, microphones, and wearable gadgets. By utilizing the proposed architecture, universities can change their distance learning tactics to maximize resources and boost efficiency without changing their overall academic activities. According to the study’s findings, e-learning has a favorable and statistically significant impact on students’ flexibility, learning experience, educational productivity, and overall quality of education.

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.

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 Context-aware security in the internet of things: a survey

2021 ◽  
Vol 14 (3) ◽  
pp. 231
Author(s):  
Tidiane Sylla ◽  
Mohamed Aymen Chalouf ◽  
Francine Krief ◽  
Karim Samaké
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Context Aware ◽  
The Internet Of Things

Main Components of Cloud Computing

2015 ◽  
pp. 782-807
Author(s):  
Yushi Shen ◽  
Yale Li ◽  
Ling Wu ◽  
Shaofeng Liu ◽  
Qian Wen
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Developmental Stages ◽  
Direct Result ◽  
The Internet ◽  
Network Communications ◽  
Main Components ◽  
Cloud Network ◽  
The Internet Of Things

Cloud-era Information Technology (IT) contains three main themes: The information hub (cloud), network communications (pipes), and intelligent terminals. In this chapter, the developmental stages of these three main components of cloud computing are discussed, with emphasis on future development. The Internet of things is also examined, which is expected to thrive as a direct result of the development of cloud computing.

Big Data, Artificial Intelligence, and the Internet of Things in Cross-Border E-Commerce

2021 ◽  
pp. 257-272
Author(s):  
Aboobucker Ilmudeen
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Economic Globalization ◽  
The Internet ◽  
Technological Revolution ◽  
Cross Border ◽  
Wide Range ◽  
The Internet Of Things

Today, the terms big data, artificial intelligence, and internet of things (IoT) are many-fold as these are linked with various applications, technologies, eco-systems, and services in the business domain. The recent industrial and technological revolution have become popular ever before, and the cross-border e-commerce activities are emerging very rapidly. As a result, it supports to the growth of economic globalization that has strategic importance for the advancement of e-commerce activities across the globe. In the business industry, the wide range applications of technologies like big data, artificial intelligence, and internet of things in cross-border e-commerce have grown exponential. This chapter systematically reviews the role of big data, artificial intelligence, and IoT in cross-border e-commerce and proposes a conceptually-designed smart-integrated cross-border e-commerce platform.

Developing Trends in Power and Networking Technologies for Intelligent Cities

2021 ◽  
pp. 61-85
Author(s):  
Kadir Alpaslan Demir ◽  
Buğra Turan
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Ambient Intelligence ◽  
The Internet ◽  
Key Technologies ◽  
Intelligent Cities ◽  
Networking Technologies ◽  
The Internet Of Things

The introduction of Industry 4.0 has increased the focus on a number of technologies. These technologies also help realize the vision for intelligent cities. Furthermore, there are already discussions of Industry 5.0. One emerging aspect of Industry 5.0 is human-robot co-working. With the help of artificial intelligence, the internet of things paradigm, Industry 4.0, and Industry 5.0 visions, there will be two predominant types of systems interfacing with people in intelligent cities. These are robotic and ambient intelligence systems. The increasing deployment of these will help make cities even smarter. However, we need to see advancements in a number of relevant key technologies, including power and networking technologies. In this chapter, first, the authors briefly discuss Industry 4.0, Industry 5.0, and intelligent cities paradigm, as well as robotic and ambient intelligence systems. Then, they focus on developing trends in power and networking technologies.

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