2018 4th International Conference on Cloud Computing Technologies and Applications (Cloudtech) 2018
DOI: 10.1109/cloudtech.2018.8713337
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Internet of Things: learning and practices. Application to Smart City

Abstract: Internet of Things is becoming widely present in our daily life. In fact, more and more devices able to interact together have been recently designed and launched in the market. Learning Internet of Things technologies is becoming unavoidable in education. In this paper, we propose a practical approach allowing to progressively learn, by practice the essential concepts of Internet of Things applied to Smart Cities. From basic knowledge of python language and the use of microcontrollers Pycom such as LoPy, stud… Show more

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Cited by 15 publications
(9 citation statements)
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References 13 publications
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“…We illustrate in this paper a practical case of Internet of Things dedicated to home automation. This paper completes the previous version of smart home [7] and smart city [8] practical works for student of engineering. The Smart Home demonstrator presented in this paper is developed for common IoT technologies with a large audience.…”
Section: Introductionsupporting
confidence: 58%
“…We illustrate in this paper a practical case of Internet of Things dedicated to home automation. This paper completes the previous version of smart home [7] and smart city [8] practical works for student of engineering. The Smart Home demonstrator presented in this paper is developed for common IoT technologies with a large audience.…”
Section: Introductionsupporting
confidence: 58%
“…e most important difference between the mobile platform and the traditional teaching method is that each student is the main body of the classroom, and students can seize the initiative of the classroom by sending barrage, comments, and praise. In addition, the interaction between teachers and students is conducive grasping the rhythm of the classroom for teachers because teachers can appropriately add the beginning and ending, which makes the teaching process more complete [20].…”
Section: Strengthening the Integration Of Cloud Teaching And The Iap Education Classroommentioning
confidence: 99%
“…The authors in [12] used Pycom/Pytrack to collect data and send them to the cloud for big data analysis. Again, the authors in [13] have Pycom LoPy module to collect data from multiple sensors and send data to The Things Network (TTN), which are retrieved by Node-Red to display the data in a dashboard.…”
Section: Related Workmentioning
confidence: 99%