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Advancing Sensing Intelligence for Internet of Everything

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

Deadline for manuscript submissions: closed (25 May 2024) | Viewed by 1604

Special Issue Editors

School of Computing, Newcastle University, Newcastle upon Tyne NE4 5TG, UK
Interests: AIoT (AI + IoT); IoT security; wireless sensing; mobile robotics
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Computer Science and Engineering, Northeastem University, Shenyang 110167, China
Interests: future network technology; network intelligent operation and maintenance; network security

Special Issue Information

Dear Colleagues,

The Internet of Everything (IoE) aims to build a network of devices (such as mobile devices, Internet of Things (IoT) devices, wearables, networked devices, servers, etc.), things (such as vehicles and electrical charging stations) and people, etc. Within the past decade, developments have meant that the IoE is not only responsible for monitoring purposes using integrated sensors, but it also helps users analyse the observations and make decisions. Many techniques have been used to improve the intelligence of the IoT to analyse the data captured by sensors, such as artificial intelligence (AI), machine learning (ML), signal processing, optimisation, modelling, etc. The use of these techniques has advanced many areas, such as agriculture, transportation, and supply chains as well as computer science, by using data sensed by and collected from sensors.

This Special Issue will focus on a broad range of topics regarding the IoE, including the IoT, AI, and optimisation.

Potential topics include, but are not limited to:   

  • Internet of Things applications based on ML or AI;
  • Natural language processing;
  • Transportation, such as autonomous vehicles and networked electric vehicles;
  • Edge computing;
  • Wireless communication;
  • Cyber physical systems;
  • Supply chains;
  • Smart agriculture using the IoE;
  • Other emerging applications.

Dr. Bo Wei
Dr. Fuliang Li
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.

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Published Papers (1 paper)

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Research

20 pages, 394 KiB  
Article
Emotion-Aware Scene Adaptation: A Bandwidth-Efficient Approach for Generating Animated Shorts
by Yi Yang, Hao Feng, Yiming Cheng and Zhu Han
Sensors 2024, 24(5), 1660; https://doi.org/10.3390/s24051660 - 4 Mar 2024
Viewed by 1099
Abstract
Semantic communication technology in the 6G wireless system focuses on semantic extraction in communication, that is, only the inherent meaning of the intention in the information. Existing technologies still have challenges in extracting emotional perception in the information, high compression rates, and privacy [...] Read more.
Semantic communication technology in the 6G wireless system focuses on semantic extraction in communication, that is, only the inherent meaning of the intention in the information. Existing technologies still have challenges in extracting emotional perception in the information, high compression rates, and privacy leakage due to knowledge sharing in communication. Large-scale generative-model technology could rapidly generate multimodal information according to user requirements. This paper proposes an approach that leverages large-scale generative models to create animated short films that are semantically and emotionally similar to real scenes and characters. The visual content of the data source is converted into text expression through semantic understanding technology; emotional clues from the data source media are added to the text form through reinforcement learning technology; and finally, a large-scale generative model is used to generate visual media, which is consistent with the semantics of the data source. This paper develops a semantic communication process with distinct modules and assesses the enhancements garnered from incorporating an emotion enhancement module. This approach facilitates the expedited generation of broad media forms and volumes according to the user’s intention, thereby enabling the creation of generated multimodal media within applications in the metaverse and in intelligent driving systems. Full article
(This article belongs to the Special Issue Advancing Sensing Intelligence for Internet of Everything)
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