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Future Internet
Special Issues
Cognitive Infocommunications–Theory and Applications
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Cognitive Infocommunications–Theory and Applications

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: closed (29 February 2020) | Viewed by 11355

Special Issue Editor

Dr. Peter Baranyi

E-Mail Website
Guest Editor
Széchényi István Egyetem, Gyor, Hungary
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue aims to present a collection of exciting papers, reporting the most recent advances on the field of Cognitive infocommunications (CogInfoCom).

CogInfoCom investigates the link between the research areas of infocommunications and cognitive sciences, as well as the various engineering applications which have emerged as the synergic combination of these sciences. The primary goal of CogInfoCom is to provide a systematic view of how cognitive processes can co-evolve with infocommunications devices so that the capabilities of the human brain may not only be extended through these devices, irrespective of geographical distance, but may also be blended with the capabilities of any artificially cognitive system. This merging and extension of cognitive capabilities are targeted towards engineering applications in which artificial and/or natural cognitive systems are enabled to work together more effectively. 

Topics of interest are (but not limited) to:

  • Artificial cognitive capabilities;
  • Artificial Intelligence;
  • Machine and deep learning;
  • Human-AI, HCI, HMI, HRI, human cognitive interfaces;
  • Industry 4.0;
  • Human in Virtual and Augmented Reality;
  • Future Internet;
  • Cognitive sciences in the digital world;
  • Embodied and enactive cognitive systems;
  • Cognitive networks and their intelligent capabilities;
  • Virtual and real avatars;
  • Face and gesture recognition;
  • Human–computer and bio-interfaces;
  • Intelligent vehicle and transportation systems;
  • Smart city;
  • Digital education, digital transformation environment for education, CogInfoCom-based learnability;
  • Intelligent vehicle and transportation systems;
  • Advanced driver assistance systems;
  • Cognitive data visualization;
  • Mathability;
  • Ergonomics-based aspects of CogInfoCom;
  • Sociocognitive ICT;
  • Ergonomics-based aspects of CogInfoCom;
  • Affective computing

Dr. Peter Baranyi
Guest Editor

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. Future Internet is an international peer-reviewed open access monthly 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 1600 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.

Published Papers (2 papers)

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Research

12 pages, 3983 KiB  
Article
Immersive Safe Oceans Technology: Developing Virtual Onboard Training Episodes for Maritime Safety
by Evangelos Markopoulos and Mika Luimula
Future Internet 2020, 12(5), 80; https://doi.org/10.3390/fi12050080 - 28 Apr 2020
Cited by 20 | Viewed by 5625
Abstract
This paper introduces four safety training episodes and virtual training technology called Immersive Safe Oceans which can be used in further education of professionals in immersive training scenarios. These episodes were developed for maritime safety and are under testing. Immersive Safe Oceans Technology [...] Read more.
This paper introduces four safety training episodes and virtual training technology called Immersive Safe Oceans which can be used in further education of professionals in immersive training scenarios. These episodes were developed for maritime safety and are under testing. Immersive Safe Oceans Technology is a cost-effective, portable technology that can be used on board just in time or in maritime training centers. Four introduced episodes, namely, (1) command bridge, (2) machine room, (3) crane, and (4) fire safety, illustrate how Immersive Safe Oceans technology can be used in various professional training scenarios. These episodes also emphasize the growing need for virtual reality training in the shipping industry. As a result, next generation learning will happen onboard in sophisticated virtual training centers. Full article
(This article belongs to the Special Issue Cognitive Infocommunications–Theory and Applications)
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14 pages, 1553 KiB  
Article
Language Cognition and Pronunciation Training Using Applications
by Ming Sung Kan and Atsushi Ito
Future Internet 2020, 12(3), 42; https://doi.org/10.3390/fi12030042 - 25 Feb 2020
Cited by 2 | Viewed by 5224
Abstract
In language learning, adults seem to be superior in their ability to memorize knowledge of new languages and have better learning strategies, experiences, and intelligence to be able to integrate new knowledge. However, unless one learns pronunciation in childhood, it is almost impossible [...] Read more.
In language learning, adults seem to be superior in their ability to memorize knowledge of new languages and have better learning strategies, experiences, and intelligence to be able to integrate new knowledge. However, unless one learns pronunciation in childhood, it is almost impossible to reach a native-level accent. In this research, we take the difficulties of learning tonal pronunciation in Mandarin as an example and analyze the difficulties of tone learning and the deficiencies of general learning methods using the cognitive load theory. With the tasks designed commensurate with the learner’s perception ability based on perception experiments and small-step learning, the perception training app is more effective for improving the tone pronunciation ability compared to existing apps with voice analysis function. Furthermore, the learning effect was greatly improved by optimizing the app interface and operation procedures. However, as a result of the combination of pronunciation practice and perception training, pronunciation practice with insufficient feedback could lead to pronunciation errors. Therefore, we also studied pronunciation practice using machine learning and aimed to train the model for the pronunciation task design instead of classification. We used voices designed as training data and trained a model for pronunciation training, and demonstrated that supporting pronunciation practice with machine learning is practicable. Full article
(This article belongs to the Special Issue Cognitive Infocommunications–Theory and Applications)
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