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Applied Sciences
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Methods and Applications for Industry IoT Using Sensors-Based Artificial Intelligence
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Methods and Applications for Industry IoT Using Sensors-Based Artificial Intelligence

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 3689

Special Issue Editor

Dr. Achyut Shankar

E-Mail Website
Guest Editor
Department of Cyber Security, University of Warwick, Coventry CV4 7AL, UK
Interests: IOT; AI; ML; network security
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Industrial Internet of Things (IIoT)-aware apps like E-Industry, E-Agriculture, E-Healthcare, and E-Transport are used by many organisations to quickly extend their operations. Artificial intelligence-based sensors are primarily responsible for defining these applications (AIS). The Internet of Things is made feasible by sensors because they collect data that may be utilised to improve decisions. Additionally, persons who engage with sensors need to feel confident, secure, and private using them. Excellent opportunities for detecting, identifying, and preventing performance degradation, as well as finding new patterns and knowledge from complicated sensor datasets, emerge with advanced artificial intelligence (AI) technologies. All of these things can support product innovation, boost operational efficiency, and expand novel business models. The right data is delivered by cutting-edge interconnected networks of intelligent sensors and customised cloud services.

Dr. Achyut Shankar
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. Applied Sciences 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 2400 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

  • artificail intelligence
  • IOT
  • security
  • privacy
  • sensors
  • edge computing

Published Papers (2 papers)

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Research

13 pages, 2191 KiB  
Article
System Evaluation of Artificial Intelligence and Virtual Reality Technology in the Interactive Design of Interior Decoration
by Shuang Wu and Sangyun Han
Appl. Sci. 2023, 13(10), 6272; https://doi.org/10.3390/app13106272 - 20 May 2023
Cited by 3 | Viewed by 2083
Abstract
Applying artificial intelligence (AI) and virtual reality (VR) technology to interior decoration design can effectively shorten the time of communication between customers and the designers, the design time, and the distance between designers, customers, and the space to be designed, which meet contemporary [...] Read more.
Applying artificial intelligence (AI) and virtual reality (VR) technology to interior decoration design can effectively shorten the time of communication between customers and the designers, the design time, and the distance between designers, customers, and the space to be designed, which meet contemporary needs. This paper aimed to study how to analyze and design an interactive interior decoration design system based on AI and VR technology. This paper also used the fuzzy comprehensive evaluation (FCE) method to comprehensively verify and evaluate the designed system. According to the system verification experiment in this paper, the sensitivities of the left, right, front, and rear operating handles for 50 times were 99.38%, 99.36%, 99.49%, and 99.21%, respectively. In addition, when the number of users simultaneously using the system was 60, the system’s stability, security, response time, and stuck time were 98.72%, 98.40%, 0.834 s, and 0.322 s, respectively. Based on a series of evaluative tests, the interactive design system for interior decoration presented in this paper is feasible and worthy of further promotion and application. The system designed in this article has reference value for the academic community and boasts certain innovative aspects. Full article
(This article belongs to the Special Issue Methods and Applications for Industry IoT Using Sensors-Based Artificial Intelligence)
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18 pages, 2367 KiB  
Article
Communication Analysis and Privacy in CAI Based on Data Mining and Federated Learning
by Qian Hu, Jiatao Jiang and Weiping Lin
Appl. Sci. 2023, 13(9), 5624; https://doi.org/10.3390/app13095624 - 03 May 2023
Cited by 1 | Viewed by 1110
Abstract
Due to the fact that client data do not need to leave the local area, a distributed machine learning framework can aggregate training from several clients while preserving data privacy. In this essay, the development of CAI both domestically and internationally is reviewed [...] Read more.
Due to the fact that client data do not need to leave the local area, a distributed machine learning framework can aggregate training from several clients while preserving data privacy. In this essay, the development of CAI both domestically and internationally is reviewed and summarized, and the current state of CAI is examined. Communication analysis has so far been a key academic and theoretical area in federated learning, and some theoretical contributions have become the crucial theoretical foundations for understanding, defending, and guiding various human social behaviors. The major objective of knowledge distillation based on model responses is to provide students the ability to rapidly replicate the teacher’s model’s output. The experimental results demonstrate that the optimized Smith Regan model adopts the “Smith Logan” teaching design model, selects the courseware structure and record preservation as the teaching content in the fundamental CAI courseware design, and optimizes the teaching design from the perspectives of learning environment analysis, learner characteristics analysis, etc. Based on this, the model’s accuracy and robustness are increased by 7.34%. Full article
(This article belongs to the Special Issue Methods and Applications for Industry IoT Using Sensors-Based Artificial Intelligence)
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