scholarly journals Introducing Augmented Reality in Next Generation Industrial Learning Tools: A Case Study on Electric and Hybrid Vehicles

2015 ◽  
Vol 132 ◽  
pp. 251-258 ◽  
Author(s):  
A. Perdikakis ◽  
A. Araya ◽  
D. Kiritsis
2019 ◽  
Vol 13 (2) ◽  
pp. 113
Author(s):  
Pham Thi Thu Hien

Twitter and Microblogging are two separate entities but completes each other. Both of them can be used as language learning tools and their potential has been proved by several scholars. This study tries to examine students’ experiences in integrating microblogging with twitter. It is also study about the beneficial roles of microblogging with Twitter in language learning, its relation to writing, and its appropriateness in language learning. This study employs a qualitative research methodology, and case study as its research design. Semi-structured interviews and questionnaires were employed in this study to find out about participants' views about microblogging and Twitter. From this study, it can be concluded that the participants of the study underwent various experiences during the implementation of microblogging with Twitter. They also felt that microblogging with Twitter at some point advantages them to systematically arrange their ideas, and allows them to choose appropriate diction of their ideas. They also stated that Twitter can be an appropriate means in language learning, especially in English writing<em>.</em>


i-com ◽  
2021 ◽  
Vol 20 (1) ◽  
pp. 19-32
Author(s):  
Daniel Buschek ◽  
Charlotte Anlauff ◽  
Florian Lachner

Abstract This paper reflects on a case study of a user-centred concept development process for a Machine Learning (ML) based design tool, conducted at an industry partner. The resulting concept uses ML to match graphical user interface elements in sketches on paper to their digital counterparts to create consistent wireframes. A user study (N=20) with a working prototype shows that this concept is preferred by designers, compared to the previous manual procedure. Reflecting on our process and findings we discuss lessons learned for developing ML tools that respect practitioners’ needs and practices.


Coatings ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 207
Author(s):  
Pavel Koštial ◽  
Zora Koštialová Jančíková ◽  
Robert Frischer

These days there are undeniably unique materials that, however, must also meet demanding safety requirements. In the case of vehicles, these are undoubtedly excellent fire protection characteristics. The aim of the work is to experimentally verify the proposed material compositions for long-term heat loads and the effect of thickness, the number of laminating layers (prepregs) as well as structures with different types of cores (primarily honeycomb made of Nomex paper type T722 of different densities, aluminum honeycomb and PET foam) and composite coating based on a glass-reinforced phenolic matrix. The selected materials are suitable candidates for intelligent sandwich structures, usable especially for interior cladding applications in the industry for the production of means of public transport (e.g., train units, trams, buses, hybrid vehicles).


2021 ◽  
pp. 2009602 ◽  
Author(s):  
Jae Joon Kim ◽  
Yan Wang ◽  
Haoyang Wang ◽  
Sunghoon Lee ◽  
Tomoyuki Yokota ◽  
...  

2015 ◽  
Vol 58 (3) ◽  
pp. 208-213 ◽  
Author(s):  
Maria-Blanca Ibanez ◽  
Angela Di-Serio ◽  
Diego Villaran-Molina ◽  
Carlos Delgado-Kloos

PLoS ONE ◽  
2018 ◽  
Vol 13 (3) ◽  
pp. e0194096 ◽  
Author(s):  
Alfredo Corell ◽  
Luisa M. Regueras ◽  
Elena Verdú ◽  
María J. Verdú ◽  
Juan P. de Castro

2021 ◽  
Author(s):  
Patrick Dallasega ◽  
Felix Schulze ◽  
Andrea Revolti ◽  
Martin Martinelli

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