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Smart learning environment for the development of Smart City applications

Authors: Manuella Kadar;

Smart learning environment for the development of Smart City applications

Abstract

The paper presents the results of the “Smart People for Smart Cities!” project funded by European Structural Funds Human Resources. “1 Decembrie 1918” University of Alba Iulia, Romania in partnership with UTI SA Romania, UNINOVA Portugal and INFOR ELEA Italy have collaborated to bridge and enhance people's skills and competences for the development of smart city applications within the university curricula of Applied Electronics, Computer Science and Environmental Engineering specialties. The primary goal was to create an enhanced learning and teaching environment, goal that was achieved through specific objectives: (i.) to set up a research - testing laboratory where real conditions of a smart city is simulated; (ii.) to develop and implement a software instrument for students' evaluation; (iii.) to develop and implement a software solution for processing data provided by various types of sensors used in the smart city environment. The project successfully complemented the academic curricula with a module of practical applications, which simulate existing automation projects on the market, integrates data obtained from sensors and provides statistical models. Smart City Lab (SCL) computing system covers all stages of data processing in automated systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Average
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