energies-logo

Journal Browser

Journal Browser

Intelligent Methods and Applications in Electronics

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: closed (23 November 2022) | Viewed by 3340

Special Issue Editors


E-Mail Website
Guest Editor
Institute of Information Technology, Warsaw University of Life Sciences—SGGW, ul. Nowoursynowska 159, 02-776 Warsaw, Poland
Interests: intelligent methods; edge and cloud computing; quantum artificial intelligence; applied physics; electronics; information and communication technology; applied informatics and mathematics

E-Mail Website
Guest Editor
Institute of Information Technology, Warsaw University of Life Sciences—SGGW, ul. Nowoursynowska 159, 02-776 Warsaw, Poland
Interests: applied physics; electronics; optoelectronics; lasers; optimisation; information and communication technology; applied informatics and mathematics

E-Mail Website
Guest Editor
Institute of Information Technology, Warsaw University of Life Sciences –- SGGW, ul. Nowoursynowska 159, 02-776 Warsaw, Poland
Interests: electronics; petri networks; network performance; quality of service; computer networks

Special Issue Information

Dear Colleagues,

Intelligent methods associated with computational intelligence, such as artificial neural networks, fuzzy and rough sets and evolutionary computation, are nowadays used widely in different industrial environments. They allow us to gain a competitive advantage and enable sustainable and uninterrupted growth. Despite the advantages intelligent methods offer over the statistical methods used traditionally, such as an ability to learn from experience, self-organise or adapt in response to dynamically changing conditions, they still have not been utilised by the electronics industry on a large scale. This Special Issue therefore aims to provide a comprehensive overview of the current state of the art, analytical models, case studies, software and hardware solutions, data analytics through design methodologies and technical solutions or practical applications.

The topics of interest include, but are not limited to:

  • Intelligent design of microelectronic and optoelectronic devices;
  • Intelligent quality assurance of electronic devices;
  • Intelligent software-defined networks;
  • Intelligent network performance analysis;
  • Intelligent network routing and capacity planning;
  • Intelligent fulfilment of QoS requirements;
  • Intelligent smart IoT applications;
  • Intelligent cloud, edge and fog infrastructure;
  • Intelligent electronics for quantum computing;
  • Intelligent electronics for scientific experiments;
  • Intelligent pattern recognition in audio and video.

Dr. Marian Rusek
Dr. Michał Szymański
Dr. Dariusz Strzęciwilk
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. Energies 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.

Keywords

  • big data
  • cloud computing
  • computational intelligence
  • dependability assessment
  • edge and fog computing
  • electronic communication systems
  • electronic devices
  • intelligent methods
  • internet of things
  • machine learning
  • network performance
  • pattern recognition
  • quality of service
  • quantum artificial intelligence
  • queueing systems
  • sensor arrays

Published Papers (3 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

29 pages, 3911 KiB  
Article
Timed Petri Nets for Modeling and Performance Evaluation of a Priority Queueing System
by Dariusz Strzęciwilk
Energies 2023, 16(23), 7690; https://0-doi-org.brum.beds.ac.uk/10.3390/en16237690 - 21 Nov 2023
Viewed by 611
Abstract
The application of queueing theory is very broad. Examples include electronic communication systems and devices. New technologies, electronic communication systems, and devices are used by many modern organizations. However, this implies certain requirements and risks. The requirements are, first and foremost, reliability, which [...] Read more.
The application of queueing theory is very broad. Examples include electronic communication systems and devices. New technologies, electronic communication systems, and devices are used by many modern organizations. However, this implies certain requirements and risks. The requirements are, first and foremost, reliability, which accounts for the complexity and interdependence of the system. On the other hand, the stochastic characteristics and complexity of these systems introduce risks related to the demands of reliability control, transmission quality, availability, and security. The research conducted so far is concerned with relatively simple queueing models that require certain assumptions to be made about the stochastic nature of the event stream. This is because complex queueing systems are very difficult to analyze using analytical methods. Hence, this paper attempts to use timed Petri nets in the modeling and performance evaluation of queueing systems belonging to the PQS (Priority Queueing System) group. IntServ and DiffServ architectures are discussed, as well as queueing systems used in quality-of-service assurance. A weighted PQS that eliminates the possibility of blocking lower-priority traffic is investigated. Based on a Petri model, the performance characteristics of the studied system are obtained. The impact of data generation on the system performance was analyzed, showing that temporal Petri nets can be effectively used in the modeling and performance evaluation of PQS systems. Full article
(This article belongs to the Special Issue Intelligent Methods and Applications in Electronics)
Show Figures

Figure 1

15 pages, 598 KiB  
Article
Analysis of Non-Steady Queue-Length Distribution in a Finite-Buffer Model with Group Arrivals and Power Saving Mechanism with Setups
by Wojciech M. Kempa and Dariusz Kurzyk
Energies 2022, 15(22), 8471; https://0-doi-org.brum.beds.ac.uk/10.3390/en15228471 - 13 Nov 2022
Cited by 1 | Viewed by 863
Abstract
In the manuscript, a probability distribution of the queue length is studied in a model with group Markov arrivals, arbitrarily distributed service times and finite waiting room. After the period of suspension of service due to lack of packets, each new busy period [...] Read more.
In the manuscript, a probability distribution of the queue length is studied in a model with group Markov arrivals, arbitrarily distributed service times and finite waiting room. After the period of suspension of service due to lack of packets, each new busy period is preceded by a random setup time. Integral equations for time-dependent queue-length distribution are derived by identifying renewal moments in the operation of the system and by applying total probability law. The representation for the solution of the system is found in terms of Laplace transforms. Computational examples illustrating the impact of system parameters on the queue-length distribution are included. Full article
(This article belongs to the Special Issue Intelligent Methods and Applications in Electronics)
Show Figures

Figure 1

18 pages, 1571 KiB  
Article
Propagation Model for Ground-to-Aircraft Communications in the Terahertz Band with Cloud Impairments
by Vladimir Doborshchuk, Vyacheslav Begishev and Konstantin Samouylov
Energies 2022, 15(21), 8022; https://0-doi-org.brum.beds.ac.uk/10.3390/en15218022 - 28 Oct 2022
Cited by 3 | Viewed by 1306
Abstract
By operating over a large bandwidth, the terahertz (THz) frequency band (0.3–3 THz) promises to deliver extremely high data rates. While the use of this band in cellular communications systems is not expected to happen within the next decade, various other use-cases such [...] Read more.
By operating over a large bandwidth, the terahertz (THz) frequency band (0.3–3 THz) promises to deliver extremely high data rates. While the use of this band in cellular communications systems is not expected to happen within the next decade, various other use-cases such as wireless backhauling and point-to-point wireless access are on the immediate horizon. In this study, we develop an analytical propagation model for the case of ground-to-aircraft communications by explicitly accounting for THz-specific propagation phenomena including path loss, attenuation by different types of clouds, and atmospheric absorption at different altitudes. To this aim, we first exhaustively characterize the geometric, molecular, and structural properties of clouds for different weather conditions and Earth regions. Then, by applying the tools of stochastic geometry, we present the closed-form expression for received power at the aircraft. Our numerical results show that the type of weather forming different compositions of clouds provides a major impact on the overall path losses and thus the attained data rates. Specifically, the difference between sunny and rainy conditions may reach 30–50 dB. The overall path loss also heavily depends on the region time and the difference may reach 10–30 dB. The worst conditions are logically provided by rain, where the additional attenuation on top of sunny conditions reaches 50 dB over the whole THz band. The Middle Earth zone is also the worst out of the considered regions with additional attenuation reaching 30 dB. The developed model can be used as a first-order approximation for ground-to-aircraft THz channel modeling. Full article
(This article belongs to the Special Issue Intelligent Methods and Applications in Electronics)
Show Figures

Figure 1

Back to TopTop