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Symmetry
Special Issues
Advances in Electrical Engineering, Computing, and Symmetry
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Advances in Electrical Engineering, Computing, and Symmetry

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Engineering and Materials".

Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 4388

Special Issue Editors

Dr. Yang (Cindy) Yi

E-Mail Website
Guest Editor
Multifunctional Integrated Circuits & Systems Center (MICS), Bradley Department of Electrical and Computer Engineering, College of Engineering, Virginia Tech, Blacksburg, VA 24061, USA
Interests: very large scale integrated (VLSI) circuits and systems; high-performance computing; computer-aided design (CAD); artificial intelligence; emerging nanodevices
Dr. Zhen Zhou

E-Mail Website
Co-Guest Editor
Intel, Santa Clara, CA 95054, USA
Interests: microwave engineering; signal integrity; package and interconnect; antenna; optical
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Symmetry creates balance, and harmony results in design. It plays a key role in electrical engineering and computing. Types of symmetries include reflection symmetry, translation symmetry, rotational symmetry, and glide reflection symmetry. This Special Issue will cover the state of the art of advances in electrical engineering, computing, and symmetry and invites researchers to submit original research papers and review articles related to any electrical engineering and computer engineering discipline in which theoretical or practical issues of symmetry are considered. The topics of interest include (but are not limited to):

  • Symmetry in electrical engineering (electronics, nanotechnology, communications, circuits, architectures, electromagnetics, etc.);
  • Symmetry in computing (computer systems, computing architecture, programing language, machine learning, neural networks, artificial intelligence, cybersecurity, etc.);
  • Symmetry in other interdisciplinary engineering disciplines (mechanical, agricultural, biomedical, graphical modelling, industrial, information, materials, space engineering, control, automation, robotics, etc.);
  • Symmetry, design, and optimization in engineering applications.

Dr. Yang (Cindy) Yi
Dr. Zhen Zhou
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. Symmetry is an international peer-reviewed open access monthly 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

  • symmetry
  • electrical engineering
  • computing engineering
  • computer science

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

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Research

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18 pages, 435 KiB  
Article
An Investigation of the Transient Response of an RC Circuit with an Unknown Capacitance Value Using Probability Theory
by Muhammad Farooq-i-Azam, Zeashan Hameed Khan, Arfan Ghani and Asif Siddiq
Symmetry 2023, 15(7), 1378; https://doi.org/10.3390/sym15071378 - 6 Jul 2023
Viewed by 2593
Abstract
In this research, we investigate a resistor capacitor electric circuit that exhibits an exponentially decaying transient response. Due to uncertainty in the precise capacitance value, we treat the capacitance as a continuous uniformly distributed random variable. Using this approach, we derive the desired [...] Read more.
In this research, we investigate a resistor capacitor electric circuit that exhibits an exponentially decaying transient response. Due to uncertainty in the precise capacitance value, we treat the capacitance as a continuous uniformly distributed random variable. Using this approach, we derive the desired transient current response of the circuit as a function of the capacitance. Subsequently, we develop a probability model for the response current, expressed in terms of probability density function and cumulative distribution function. The model’s validity and correctness are verified, and it is further utilized for probabilistic analysis of the transient current. We demonstrate the application of the model for determining the probability of the transient current response reaching a specific value. By following the same procedure used to derive the probability model of the transient current, probability distributions for other circuit parameters, such as voltages and currents, can also be obtained. Furthermore, for parameters that are functions of the transient current, the probability model can also be obtained from the already derived probability model. To illustrate this, we derive the probability models of three other parameters in the circuit from the already obtained models. We also present examples to demonstrate the usage of the developed probability models. Full article
(This article belongs to the Special Issue Advances in Electrical Engineering, Computing, and Symmetry)
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Review

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58 pages, 2239 KiB  
Review
Dynamic Load Balancing Techniques in the IoT: A Review
by Dimitris Kanellopoulos and Varun Kumar Sharma
Symmetry 2022, 14(12), 2554; https://doi.org/10.3390/sym14122554 - 2 Dec 2022
Cited by 28 | Viewed by 7769
Abstract
The Internet of things (IoT) extends the Internet space by allowing smart things to sense and/or interact with the physical environment and communicate with other physical objects (or things) around us. In IoT, sensors, actuators, smart devices, cameras, protocols, and cloud services are [...] Read more.
The Internet of things (IoT) extends the Internet space by allowing smart things to sense and/or interact with the physical environment and communicate with other physical objects (or things) around us. In IoT, sensors, actuators, smart devices, cameras, protocols, and cloud services are used to support many intelligent applications such as environmental monitoring, traffic monitoring, remote monitoring of patients, security surveillance, and smart home automation. To optimize the usage of an IoT network, certain challenges must be addressed such as energy constraints, scalability, reliability, heterogeneity, security, privacy, routing, quality of service (QoS), and congestion. To avoid congestion in IoT, efficient load balancing (LB) is needed for distributing traffic loads among different routes. To this end, this survey presents the IoT architectures and the networking paradigms (i.e., edge–fog–cloud paradigms) adopted in these architectures. Then, it analyzes and compares previous related surveys on LB in the IoT. It reviews and classifies dynamic LB techniques in the IoT for cloud and edge/fog networks. Lastly, it presents some lessons learned and open research issues. Full article
(This article belongs to the Special Issue Advances in Electrical Engineering, Computing, and Symmetry)
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