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Feature Papers Collection in the Section ‘Electrical, Electronics and Communications Engineering’, Second Edition

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: 20 September 2026 | Viewed by 1038

Special Issue Editors


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Guest Editor
Institute of Metrology, Electronics and Computer Science, University of Zielona Gora, 65-417 Zielona Gora, Poland
Interests: logic synthesis; FSM design; FPGA; ASIC; telecommunications; antenna arrays; hardware-software co-design; CAD of VLSI-based digital systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Technology, The Jacob of Paradies University, ul. Fryderyka Chopina 52/b.7, 66-400 Gorzow Wielkopolski, Poland
Interests: distributed embedded systems; embedded system design; IoT; hardware synthesis; process control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As you know, virtually every aspect of human functioning depends on the widespread use of and advances in electrical, electronic, and telecommunications engineering. Over the past decade, “Electrical, Electronics and Communications Engineering”, a Section of Applied Sciences, has published many papers dedicated to the fundamental and applied aspects of these three important disciplines.

This Special Issue, “Feature Paper Collection in the Section ‘Electrical, Electronics and Communications Engineering’, Second Edition”, to be published in 2024–2025, will present a collection of feature papers on recent developments in these areas of science.

We are seeking papers related (but not limited) to the following:

  1. Fundamental problems in modern electrical engineering.
  2. Fundamental problems in modern electronic engineering.
  3. Fundamental problems in telecommunication systems.
  4. Development and use of mathematical models to simulate components and their interaction within electrical circuits and systems.
  5. Development of new tools for circuit analysis.
  6. Prevention of interference between different electrical components or systems.
  7. Automatization of component selection.
  8. Development of tools for preventing voltage drop.
  9. Reducing circuit noise.
  10. Improving the power quality of circuits and systems.
  11. Development of tools for protection from overvoltage.
  12. Development of tools for lightning protection.
  13. Improving heat managing in circuits and systems.
  14. Using troubleshooting techniques in design.
  15. Improving signal processing.
  16. Signal processing and communication techniques in modern electrical engineering.
  17. Emerging trends in electrical engineering.
  18. Development methods aimed at Smart Grids.
  19. Development of telecommunication tools aimed in 5G Networks.
  20. Development of telecommunication tools providing secure and reliable services.
  21. Development and use of artificial intelligence (AI) tools in telecommunication systems.
  22. Using machine learning applications in telecommunication systems.
  23. Development of telecommunication tools oriented on Internet of Things.
  24. Development of Machine to Machine (M2M) devices.
  25. Using cloud computing in telecommunications.
  26. Decentralized telecom networks.
  27. Virtualized network services in telecommunications.
  28. Using new wireless technologies in telecommunications.
  29. Development of tools for defence from cyberattacks.
  30. Using green technologies in telecommunication systems.

For this Special Issue, we seek papers that feature original research, as well as review articles. The journal offers high-quality peer review and a rapid publication process. Submission to this Special Issue is now open and will be open until 31 March 2025. Invited papers may be considered for a full or partial waiver of the publication cost. If you would like to be invited to contribute to this Special Issue, please send the (tentative) title and abstract of your potential paper/review to one of the two Co-Guest Editors listed below.

We look forward to receiving your insightful contribution.

Prof. Dr. Alexander Barkalov
Prof. Dr. Larysa Titarenko
Dr. Kazimierz Krzywicki
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 250 words) can be sent to the Editorial Office for assessment.

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

  • electrical engineering
  • electronics
  • telecommunications
  • analysis
  • improvement

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Published Papers (2 papers)

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Research

29 pages, 4468 KB  
Article
Reducing LUT Counts in Moore FSMs with Twofold State Assignment
by Alexander Barkalov, Larysa Titarenko and Kazimierz Krzywicki
Appl. Sci. 2026, 16(7), 3540; https://doi.org/10.3390/app16073540 - 4 Apr 2026
Viewed by 299
Abstract
In this paper, we propose a new synthesis method for LUT-based Moore finite state machines (FSMs) with twofold state assignment (TSA). The method introduces an additional core of partial input memory functions (IMFs), resulting in an architecture with two IMF cores. The first [...] Read more.
In this paper, we propose a new synthesis method for LUT-based Moore finite state machines (FSMs) with twofold state assignment (TSA). The method introduces an additional core of partial input memory functions (IMFs), resulting in an architecture with two IMF cores. The first core is based on structural decomposition using additional partial state variables, whereas the second uses maximum binary state codes. Both cores are implemented as single-level circuits. We formulate the conditions under which the proposed method can be applied and show that it improves both the area and timing characteristics of the resulting FSM circuits. The method exploits pseudoequivalent state classes to reduce the number of literals in sum-of-products describing partial IMFs. The developed FSM architecture is organized into three logic stages. At the first stage, two dedicated blocks generate partial IMFs. At the next stage, these intermediate functions are merged and used to form the maximum binary state code. The final stage produces both the output signals and the partial state encoding. The proposed method is illustrated by a synthesis example and validated using standard benchmark FSMs. The obtained results indicate that the method is particularly suitable for larger and more complex Moore FSM implementations. Full article
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24 pages, 518 KB  
Article
A Secure Authentication Scheme for Hierarchical Federated Learning with Anomaly Detection in IoT-Based Smart Agriculture
by Jihye Choi and Youngho Park
Appl. Sci. 2026, 16(7), 3211; https://doi.org/10.3390/app16073211 - 26 Mar 2026
Viewed by 404
Abstract
Unmanned Aerial Vehicle (UAV)-assisted hierarchical federated learning (HFL) has emerged as a promising architecture for Internet of Things (IoT)-based smart agriculture, which enables scalable model training over large and sparse farmlands. In this setting, UAVs act as mobile edge servers, aggregating local updates [...] Read more.
Unmanned Aerial Vehicle (UAV)-assisted hierarchical federated learning (HFL) has emerged as a promising architecture for Internet of Things (IoT)-based smart agriculture, which enables scalable model training over large and sparse farmlands. In this setting, UAVs act as mobile edge servers, aggregating local updates from distributed agricultural IoT devices and relaying them to the cloud server. While HFL improves scalability and reduces communication overhead, it still faces critical security threats due to its reliance on public wireless channels and the vulnerability of model aggregation to malicious updates. In this paper, we propose a secure authentication scheme that integrates anomaly detection with elliptic curve cryptography (ECC)-based mutual authentication to protect both the communication and training phases. In the proposed scheme, UAVs authenticate participating clients before receiving their local models, then perform anomaly detection to identify and exclude malicious participants. If a client is found to be malicious, its identity credentials are revoked and broadcast by the cloud server to prevent future participation. The security of the proposed scheme is formally verified using Burrows–Abadi–Needham (BAN) logic, the Real-or-Random (RoR) model, and the Automated Validation of Internet Security Protocols and Applications (AVISPA) tool, along with informal security analysis. The performance evaluation includes comparisons of security features, computation cost, and communication cost with other related schemes, and an experimental assessment of anomaly detection performance. The results demonstrate that our scheme provides strong security guarantees, low overhead, and effective malicious client detection, making it well suited for UAV-assisted HFL in smart agriculture. Full article
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