Application development for the Internet of Things: A context-aware mixed criticality systems development platform

2017 ◽  
Vol 104 ◽  
pp. 1-16 ◽  
Author(s):  
Carlos Kamienski ◽  
Marc Jentsch ◽  
Markus Eisenhauer ◽  
Jussi Kiljander ◽  
Enrico Ferrera ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Systems Development ◽  
The Internet ◽  
Context Aware ◽  
Application Development ◽  
Development Platform ◽  
The Internet Of Things ◽  
Mixed Criticality

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

Exploiting Context-Aware Capabilities over the Internet of Things for Industry 4.0 Applications

IEEE Network ◽  
2018 ◽  
Vol 32 (3) ◽  
pp. 101-107 ◽  
Author(s):  
Igor Bisio ◽  
Chiara Garibotto ◽  
Aldo Grattarola ◽  
Fabio Lavagetto ◽  
Andrea Sciarrone
Keyword(s):  
Internet Of Things ◽  
Industry 4.0 ◽  
The Internet ◽  
Context Aware ◽  
The Internet Of Things

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 Compreendendo o Desempenho de Gerenciadores de Contexto para Internet das Coisas

2017 ◽  
Author(s):  
Ivan Zyrianoff ◽  
Fabrizio Borelli ◽  
Alexandre Heideker ◽  
Gabriela Biondi ◽  
Carlos Kamienski
Keyword(s):  
Decision Making ◽  
Performance Analysis ◽  
Internet Of Things ◽  
Synthetic Data ◽  
Management Systems ◽  
The Internet ◽  
Context Aware ◽  
Analysis Study ◽  
Results Reporting ◽  
The Internet Of Things

Context-Aware Management Systems have been proposed in the last years to perform automatic decision making for the Internet of Things. Although scalability is an indispensable feature for those systems, there are no comprehensive results reporting their performance. This paper shows results of a performance analysis study of different context-aware architectures and introduces the SenSE platform for generating sensor synthetic data. Results show that different architectural choices impact system scalability and that automatic real time decision-making is feasible in an environment composed of dozens of thousands of sensors that continuously transmit data.

scholarly journals Context-Aware Security in the Internet of Things: A survey

2021 ◽  
Vol 14 (3) ◽  
pp. 1 ◽  
Author(s):  
Karim Samake ◽  
Mohamed Aymeb Chalouf ◽  
Tidiane SYLLA ◽  
Krief Francine
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Context Aware ◽  
The Internet Of Things
Sign in / Sign up

Export Citation Format

Share Document