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Sensors and Sensing Technologies in Remote Laboratories

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: 20 October 2024 | Viewed by 268

Special Issue Editors


E-Mail Website
Guest Editor
Faculty of Engineering, University of Deusto, Avenida de las Universidades 24, 48007 Bilbao, Spain
Interests: remote labs; online learning
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Faculty of Engineering, University of Deusto, Avenida de las Universidades 24, 48007 Bilbao, Spain
Interests: remote labs; online learning

E-Mail Website
Guest Editor
Superior Institute of Engineering of Porto (ISEP), Porto Polytechnic Institute (IPP), R. Dr. António Bernardino de Almeida 431, 4249-015 Porto, Portugal
Interests: remote labs; online learning
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Superior Institute of Engineering of Porto (ISEP), Porto Polytechnic Institute (IPP), R. Dr. António Bernardino de Almeida 431, 4249-015 Porto, Portugal
Interests: remote labs; online learning

Special Issue Information

Dear Colleagues,

This Special Issue of Sensors aims to serve the scientific community as a reference for all researchers and teachers in any field of engineering and experimental sciences who use sensors as a mediating technology between real experiments and remote experimenters. Remote laboratories have emerged as a technological paradigm that allows us to democratize access to real physical resources that can be located anywhere in the world to carry out practical experiments as if the students were physically in front of them.

In a remote laboratory, just as in a hands-on laboratory, the response of the experiment depends on the student's configuration of the control parameters and the uncertainty inherent in the measuring instruments. That is, the response is not pre-recorded or defined by an algorithm. Thus, for the student to have as much information as possible during the execution of the experiment, it is necessary to provide the remote experiment with a set of sensors to capture, process, and transmit this information.

In this Special Issue, we want to give special relevance to those remote laboratories, data acquisition systems, embedded systems, technologies, solutions, and applications designed to meet these requirements, allowing the remote student or engineer to have access to quality information that allows them to carry out and understand practical experiences mediated by the Internet.

Potential topics include, but are not limited to:

  • Remote sensing and control;
  • Remote laboratories;
  • Online engineering;
  • Industry 4.0 and education;
  • Digital twins;
  • Smart remote education;
  • Embedded system for remote sensing in education;
  • Smart sensors in educational scenarios.

Prof. Dr. Unai Hernandez
Prof. Dr. Javier Garcia-Zubia
Prof. Dr. Gustavo Alves
Dr. André Fidalgo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • remote sensing and control
  • remote laboratories
  • smart remote education

Published Papers

This special issue is now open for submission.
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