Context-aware system for information services provision in the Internet of Things

Author(s):  
Everton de Matos ◽  
Leonardo A. Amaral ◽  
Ramao Tiburski ◽  
Willian Lunardi ◽  
Fabiano Hessel ◽  
...  
Author(s):  
Tidiane Sylla ◽  
Mohamed Aymen Chalouf ◽  
Francine Krief ◽  
Karim Samaké

Author(s):  
William J. Gibbs

In this chapter, I examine trends in today's news-orientated interfaces and the impact of digital interfaces on news consumption. Digital interfaces will be differentiated from traditional informational sources such as newspapers and television news. Additionally, I will explore several major characteristics or trends germane to today's news interfaces and their implications for how people consume news and, more generally, for how they transform information services: a) rapid innovation, b) interactivity, c) social, d) standardization, e) scale, f) media convergence and, g) the Internet of Things and Big Data.


IEEE Network ◽  
2018 ◽  
Vol 32 (3) ◽  
pp. 101-107 ◽  
Author(s):  
Igor Bisio ◽  
Chiara Garibotto ◽  
Aldo Grattarola ◽  
Fabio Lavagetto ◽  
Andrea Sciarrone

2014 ◽  
Vol 687-691 ◽  
pp. 1966-1969 ◽  
Author(s):  
Qiu Dong Yu ◽  
Yun Chen Tian ◽  
Xu Feng Hua

With the advent of the third information revolution, the internet of things (IOT) and cloud computing, as the representative of the emerging field of information technology, began in force. As an important part of the information, agricultural information has opportunities and challenges. The current agricultural information service information integration is low, real-time information is not enough, personalized service issues is incomplete. This paper proposes an integrated agricultural information service model IOT building programs and cloud computing. The program implements networking technology and cloud computing technology docked in the field of agricultural information service, a better solution to the shortage of agricultural information service in the presence of current, reducing the threshold for the use of agricultural information services, improving the efficiency of agricultural information services.


Author(s):  
Tuan Dinh Le ◽  
Seong Hoon Kim ◽  
Minh Hoang Nguyen ◽  
Daeyoung Kim ◽  
Seung Young Shin ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Atef Zaguia ◽  
Darine Ameyed ◽  
MohamedAmime Haddar ◽  
Omar Cheikhrouhou ◽  
Habib Hamam

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.


2017 ◽  
Author(s):  
Ivan Zyrianoff ◽  
Fabrizio Borelli ◽  
Alexandre Heideker ◽  
Gabriela Biondi ◽  
Carlos Kamienski

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.


Author(s):  
Karim Samake ◽  
Mohamed Aymeb Chalouf ◽  
Tidiane SYLLA ◽  
Krief Francine

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