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The Augmented Functionality of the Physical Models of Objects of Study for Remote Laboratories

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Online Engineering & Internet of Things

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 22))

Abstract

Remote laboratory is an important and rapidly growing component of distance learning systems for engineering specialty. The labs allow for remote users to enter the data of technical experiment that is transmitted to the server where it is converted into control signals of physical and (or) virtual model of the object of the experiment. The level of remote laboratories in engineering education largely depends on the level of models of objects of study that they use. The use of physical models in remote laboratories has identified a number of issues for the creators and operators: they have a limited range of experiments with the physical model, the complexity of modernization and the high cost of new models, and others. The aim of the present work: to improve, to extend the scope of existing physical models. The goal is to be achieved through increase/add functionality of the physical models through the use of augmented reality, augmented virtuality and augmented behavior of the object of study. The work describes the variety and the advantages of hybrid models and interfaces to enhance the functionality, lists examples of added functionality.

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Acknowledgment

This work was partially carried out within the European Community Project “Tempus” ICo-op: Industrial Cooperation and Creative Engineering Education based on Remote Engineering and Virtual Instrumentation 530278-TEMPUS-1-2012- 1-DE-TEMPUS-JPHES. The authors are grateful to Ilmenau University of Technology (Germany) and the Zaporizhzhya National Technical University (Ukraine) for the opportunity to work with remote laboratory GOLDi.

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Correspondence to Mykhailo Poliakov .

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Poliakov, M., Henke, K., Wuttke, HD. (2018). The Augmented Functionality of the Physical Models of Objects of Study for Remote Laboratories. In: Auer, M., Zutin, D. (eds) Online Engineering & Internet of Things. Lecture Notes in Networks and Systems, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-64352-6_15

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  • DOI: https://doi.org/10.1007/978-3-319-64352-6_15

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  • Online ISBN: 978-3-319-64352-6

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