Recent Advances and Emerging Applications of Internet of Things

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 4308

Special Issue Editors


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Guest Editor
Faculty of Electronics, Telecommunications and Teleinformatics Department, Wroclaw University of Science and Technology, Wroclaw, Poland
Interests: sensor network; internet of things; cellular; electromagnetic compatibility (EMC); radiowave propagation
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Department of Computer Science and Information Engineering, National University of Kaohsiung, Nanzih District, Kaohsiung 811, Taiwan
Interests: artificial intelligence; data mining; audio signal processing; internet technologies; internet and supply chain management; parallel processing
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School of Computer and Information Sciences, Auckland University of Technology, Auckland 1010, New Zealand
Interests: adaptive machine learning and intelligent information processing; including the theories of evolving connectionist systems; neuro-fuzzy systems; brain-inspired spiking neural networks
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Applied Computer Science Group - Department of Information Systems, Wrocław University of Science and Technology, 50-370 Wrocław, Poland
Interests: knowledge engineering; multi-agent systems; data quality; smart manufacturing; predictive maintenance
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Computer and Information Technology Department, Faculty of Automatics, Computers and Electronics, University of Craiova, Bvd.Decebal, Nr.107, Craiova, RO-200440, Romania
Interests: artificial intelligence; multi-agent systems; software engineering; distributed systems; formal methods
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Special Issue Information

Dear Colleagues,

At the brink of its first decade of existence, the Internet of Things has penetrated virtually all sectors of our lives and revealed itself as much more than merely technologies. Its ubiquitous presence therefore requires equally broad analyses that span from vertical domains affecting our daily lives, such as smart cities or homes, to technological aspects related to multiple IoT systems and networks— in all of these being also mindful of the threats it brings along and cybersecurity measures to counteract them. The topics of interest in this Special Issue include but are not limited to:

  1. IoT devices and applications;
  2. From Smart Cities to Smart Future with IoT systems;
  3. The role of IoT in promoting a Green World;
  4. Security and privacy protection in IoT networks and systems;
  5. Traffic modeling in the IoT;
  6. IoT networks and systems auditing;
  7. Electromagnetic compatibility issues with IoT systems;
  8. Advances in medium access control techniques for IoT systems;
  9. Advances in routing techniques for IoT systems;
  10. IoT in terms of capability, adaptability, and usability.

Prof. Dr. Kamil Staniec
Prof. Dr. Tzung-Pei Hong
Prof. Dr. Nikola K. Kasabov
Prof. Dr. Dariusz Król
Prof. Dr. Costin Badica
Guest Editors

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Keywords

  • IoT devices and applications
  • From Smart Cities to Smart Future with IoT systems
  • The role of IoT in promoting a Green World
  • Security and privacy protection in IoT networks and systems
  • Traffic modeling in the IoT
  • IoT networks and systems auditing
  • Electromagnetic compatibility issues with IoT systems
  • Advances in medium access control techniques for IoT systems
  • Advances in routing techniques for IoT systems
  • IoT in terms of capability, adaptability, and usability

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Published Papers (1 paper)

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Research

21 pages, 12690 KiB  
Article
A Multi-Scale Convolutional Neural Network for Rotation-Invariant Recognition
by Tzung-Pei Hong, Ming-Jhe Hu, Tang-Kai Yin and Shyue-Liang Wang
Electronics 2022, 11(4), 661; https://doi.org/10.3390/electronics11040661 - 21 Feb 2022
Cited by 4 | Viewed by 3430
Abstract
The Internet of things (IoT) enables mobile devices to connect and exchange information with others over the Internet with a lot of applications in consumer, commercial, and industrial products. With the rapid development of machine learning, IoT with image recognition capability is a [...] Read more.
The Internet of things (IoT) enables mobile devices to connect and exchange information with others over the Internet with a lot of applications in consumer, commercial, and industrial products. With the rapid development of machine learning, IoT with image recognition capability is a new research area to assist mobile devices with processing image information. In this research, we propose the rotation-invariant multi-scale convolutional neural network (RIMS-CNN) to recognize rotated objects, which are commonly seen in real situations. Based on the dihedral group D4 transformations, the RIMS-CNN equips a CNN with multiple rotated tensors and its processing network. Furthermore, multi-scale features and shared weights are employed in the RIMS-CNN to increase performance. Compared with the data augmentation approach of using rotated images at random angles for training, our proposed method can learn inherent convolution kernels for rotational features. Experiments were conducted on the benchmark datasets: MNIST, FASHION-MNIST, CIFAR-10, and CIFAR-100. Significant improvements over the other models were achieved to show that rotational invariance could be learned. Full article
(This article belongs to the Special Issue Recent Advances and Emerging Applications of Internet of Things)
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