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RSS FeedsSensors, Vol. 19, Pages 1349: The Campus as a Smart City: University of Málaga Environmental, Learning, and Research Approaches (Sensors)

 
 

18 march 2019 15:04:10

 
Sensors, Vol. 19, Pages 1349: The Campus as a Smart City: University of Málaga Environmental, Learning, and Research Approaches (Sensors)
 


For the past few years, the concept of the Internet of Things (IoT) has been a recurrent view of the technological environment where nearly every object is expected to be connected to the network. This infrastructure will progressively allow one to monitor and efficiently manage the environment. Until recent years, the IoT applications have been constrained by the limited computational capacity and especially by efficient communications, but the emergence of new communication technologies allows us to overcome most of these issues. This situation paves the way for the fulfillment of the Smart-City concept, where the cities become a fully efficient, monitored, and managed environment able to sustain the increasing needs of its citizens and achieve environmental goals and challenges. However, many Smart-City approaches still require testing and study for their full development and adoption. To facilitate this, the university of Málaga made the commitment to investigate and innovate the concept of Smart-Campus. The goal is to transform university campuses into “small” smart cities able to support efficient management of their area as well as innovative educational and research activities, which would be key factors to the proper development of the smart-cities of the future. This paper presents the University of Málaga long-term commitment to the development of its Smart-Campus in the fields of its infrastructure, management, research support, and learning activities. In this way, the adopted IoT and telecommunication architecture is presented, detailing the schemes and initiatives defined for its use in learning activities. This approach is then assessed, establishing the principles for its general application.


 
84 viewsCategory: Chemistry, Physics
 
Sensors, Vol. 19, Pages 1352: A Novel and Practical Scheme for Resolving the Quality of Samples in Background Modeling (Sensors)
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