MOCAST 2020

A special issue of Technologies (ISSN 2227-7080).

Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 8562

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Guest Editor
Laboratory of Nonlinear Systems, Circuits & Coplexity (LaNSCom), Department of Physics, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece
Interests: electrical and electronics engineering; mathematical modeling; control theory; engineering, applied and computational mathematics; numerical analysis; mathematical analysis; numerical modeling; modeling and simulation; robotics
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Special Issue Information

Dear Colleagues,

The 9th International Conference on Modern Circuit and System Technologies on Electronics and Communications (MOCAST 2020) will take place in Bremen, Germany from 7 to 9 September, 2020. The MOCAST technical program includes all aspects of circuit and system technologies from modeling, design, verification, implementation, and application. This Special Issue aims at publishing extended versions of top-ranked papers in the conference. The topics of MOCAST include:

  • Analog/RF and mixed signal circuits;
  • Digital circuits and systems design;
  • Nonlinear circuits and systems;
  • Device and circuit modeling;
  • Systems and applications;
  • Communication systems;
  • Network systems;
  • Power management;
  • Imagers, MEMS, medical, and displays;
  • Radiation front ends (nuclear and space application);
  • Education in circuits, systems, and communications.

Prof. Dr. Spiros Nikolaidis
Associate Prof. Dr. Christos Volos
Guest Editors

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Related Special Issues

Published Papers (3 papers)

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Research

10 pages, 1593 KiB  
Article
Comparison of System-Level Design Approaches on Different Types of Digitally-Controlled Ring-Oscillator
by Santthosh Selvaraj, Erkan Bayram and Renato Nega
Technologies 2021, 9(2), 38; https://doi.org/10.3390/technologies9020038 - 19 May 2021
Viewed by 2563
Abstract
This paper presents a comparative study between two different implementations of digitally-controlled-oscillators (DCOs), whcih is the DAC-based and the digital controller-based DCO in TSMC 65 nm CMOS technology. This paper focuses on ring-oscillator architectures due to their high stability against PVT. The DAC-based [...] Read more.
This paper presents a comparative study between two different implementations of digitally-controlled-oscillators (DCOs), whcih is the DAC-based and the digital controller-based DCO in TSMC 65 nm CMOS technology. This paper focuses on ring-oscillator architectures due to their high stability against PVT. The DAC-based oscillator implements a differential architecture, and the digital controller-based architecture operates in a single-ended signal. The SFDR of the DAC-based DCO is 77.2 dBc and controller-based DCO is 56.8 dBc at 125 MHz offset. The Monte-Carlo simulation gives a deviation of 7.4% and 8.5% for the DAC-based and controller-based DCO, respectively. The phase noise performance of the DAC-based DCO and controller-based DCO is −78.9 dBc/Hz and −81.3 dBc/Hz at 1 MHz offset, respectively. The implementations are given and compared according to their performance based on post-layout simulation results. Full article
(This article belongs to the Special Issue MOCAST 2020)
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9 pages, 2142 KiB  
Communication
Multiobjective Ant Lion Approaches Applied to Electromagnetic Device Optimization
by Juliano Pierezan, Leandro dos S. Coelho, Viviana C. Mariani, Sotirios K. Goudos, Achilles D. Boursianis, Nikolaos V. Kantartzis, Christos. S. Antonopoulos and Spiridon Nikolaidis
Technologies 2021, 9(2), 35; https://doi.org/10.3390/technologies9020035 - 11 May 2021
Cited by 9 | Viewed by 2418
Abstract
Nature-inspired metaheuristics of the swarm intelligence field are a powerful approach to solve electromagnetic optimization problems. Ant lion optimizer (ALO) is a nature-inspired stochastic metaheuristic that mimics the hunting behavior of ant lions using steps of random walk of ants, building traps, entrapment [...] Read more.
Nature-inspired metaheuristics of the swarm intelligence field are a powerful approach to solve electromagnetic optimization problems. Ant lion optimizer (ALO) is a nature-inspired stochastic metaheuristic that mimics the hunting behavior of ant lions using steps of random walk of ants, building traps, entrapment of ants in traps, catching preys, and re-building traps. To extend the classical single-objective ALO, this paper proposes four multiobjective ALO (MOALO) approaches using crowding distance, dominance concept for selecting the elite, and tournament selection mechanism with different schemes to select the leader. Numerical results from a multiobjective constrained brushless direct current (DC) motor design problem show that some MOALO approaches present promising performance in terms of Pareto-optimal solutions. Full article
(This article belongs to the Special Issue MOCAST 2020)
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16 pages, 39889 KiB  
Article
Circuit Implementation of a Modified Chaotic System with Hyperbolic Sine Nonlinearities Using Bi-Color LED
by Christos K. Volos, Lazaros Moysis, George D. Roumelas, Aggelos Giakoumis, Hector E. Nistazakis and George S. Tombras
Technologies 2021, 9(1), 15; https://doi.org/10.3390/technologies9010015 - 24 Feb 2021
Cited by 5 | Viewed by 2425
Abstract
In this paper, a chaotic three dimansional dynamical system is proposed, that is a modification of the system in Volos et al. (2017). The new system has two hyperbolic sine nonlinear terms, as opposed to the original system that only included one, in [...] Read more.
In this paper, a chaotic three dimansional dynamical system is proposed, that is a modification of the system in Volos et al. (2017). The new system has two hyperbolic sine nonlinear terms, as opposed to the original system that only included one, in order to optimize system’s chaotic behavior, which is confirmed by the calculation of the maximal Lyapunov exponents and Kaplan-Yorke dimension. The system is experimentally realized, using Bi-color LEDs to emulate the hyperbolic sine functions. An extended dynamical analysis is then performed, by computing numerically the system’s bifurcation and continuation diagrams, Lyapunov exponents and phase portraits, and comparing the numerical simulations with the circuit simulations. A series of interesting phenomena are unmasked, like period doubling route to chaos, coexisting attractors and antimonotonicity, which are all verified from the circuit realization of the system. Hence, the circuit setup accurately emulates the chaotic dynamics of the proposed system. Full article
(This article belongs to the Special Issue MOCAST 2020)
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