Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.5
3.6
Journals
Technologies
Special Issues
Modern Circuits and Systems Technologies on Electronics
share announcement

Modern Circuits and Systems Technologies on Electronics

A special issue of Technologies (ISSN 2227-7080). This special issue belongs to the section "Information and Communication Technologies".

Deadline for manuscript submissions: closed (1 November 2018) | Viewed by 40594

Special Issue Editors

Prof. Dr. Spyridon Nikolaidis

E-Mail Website
Guest Editor
Physics Department, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
Interests: analysis and design of digital circuits and systems; power consumption modeling; timing analytical models for digital circuits; leakage detection and localization in metallic pipelines
Special Issues, Collections and Topics in MDPI journals
Dr. Alkiviadis Hatzopoulos

E-Mail Website
Guest Editor
School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
Interests: analog and mixed signal design and testing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The 7th International Conference on Modern Circuit and System Technologies on Electronics and Communications (MOCAST 2018) will take place in Thessaloniki, Greece, 7–9 May, 2018. The MOCAST technical program includes all aspects of circuit and system technologies, including modeling, design, verification, implementation and application. This Special Issue aims at publishing extended versions of top-ranked papers at the conference. This year, MOCAST is technically sponsored by IEEE. The topics of MOCAST include:

  • analog/RF and mixed signal circuits
  • digital circuits and systems design
  • nonlinear circuits and systems
  • device and circuit modeling
  • high performance embedded systems
  • systems and applications
  • power management
  • imagers, mems, medical and displays
  • radiation front ends (nuclear and space application)
  • education in circuits, systems and communications

Prof. Dr. Spiros Nikolaidis
Dr. Alkiviadis Hatzopoulos
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. Technologies 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 1600 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

  • electronic circuit technologies
  • electronic system technologies
  • modeling, design and implementation of circuits and systems
  • systems and applications

Related Special Issues

Published Papers (7 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

16 pages, 3439 KiB  
Article
A Telemedicine Service System Exploiting BT/BLE Wireless Sensors for Remote Management of Chronic Patients
by Massimiliano Donati, Alessio Celli, Alessio Ruiu, Sergio Saponara and Luca Fanucci
Technologies 2019, 7(1), 13; https://doi.org/10.3390/technologies7010013 - 18 Jan 2019
Cited by 26 | Viewed by 7748
Abstract
The management of the increasing number of patients affected by cardiovascular, pulmonary, and metabolic chronic diseases represents a major challenge for the National Health System (NHS) in any developed country. Chronic diseases are indeed the main cause of hospitalization, especially for elderly people, [...] Read more.
The management of the increasing number of patients affected by cardiovascular, pulmonary, and metabolic chronic diseases represents a major challenge for the National Health System (NHS) in any developed country. Chronic diseases are indeed the main cause of hospitalization, especially for elderly people, leading to sustainability problems due to the huge amount of resources required. In the last years, the adoption of the chronic care model (CCM) as assistive model improved the management of these patients and reduced the related healthcare costs. The diffusion of wireless sensors, portable devices and connectivity enables to implement new information and communication technology (ICT)-based innovative applications to further improve the outcomes of the CCM. This paper presents a telemedicine platform for data acquisition, distribution, processing, presentation, and storage, aimed to remotely monitor the clinical status of chronic patients. The proposed solution is based on monitoring kits, with wireless Bluetooth (BT)/ Bluetooth low energy (BLE) sensors and a gateway (i.e., smartphone or tablet) connected to a web-based cloud application that collects and makes available the clinical information to the medical staff. The platform allows clinicians and practitioners to monitor at distance their patients, according to personalized treatment plans, and to act promptly in case of aggravations, reducing hospitalizations and improving patients’ quality of life. Full article
(This article belongs to the Special Issue Modern Circuits and Systems Technologies on Electronics)
►▼ Show Figures

Figure 1

13 pages, 1852 KiB  
Article
A High-Level Synthesis Implementation and Evaluation of an Image Processing Accelerator
by Dimitris Tsiktsiris, Dimitris Ziouzios and Minas Dasygenis
Technologies 2019, 7(1), 4; https://doi.org/10.3390/technologies7010004 - 23 Dec 2018
Cited by 8 | Viewed by 6829
Abstract
Most frequently, an FPGA is used as an implementation platform in applications of graphics processing, as its structure can effectively exploit both spatial and temporal parallelism. Such parallelization techniques involve fundamental restrictions, namely being their dependence on both the processing model and the [...] Read more.
Most frequently, an FPGA is used as an implementation platform in applications of graphics processing, as its structure can effectively exploit both spatial and temporal parallelism. Such parallelization techniques involve fundamental restrictions, namely being their dependence on both the processing model and the system’s hardware constraints, that can force the designer to restructure the architecture and the implementation. Predesigned accelerators can significantly assist the designer to solve this problem and meet his deadlines. In this paper, we present our accelerators for Grayscale and Sobel Edge Detection, two of the most fundamental algorithms used in digital image processing projects. We have implemented those algorithms with a “bare-metal” VHDL design, written purely by hand, as a portable USB accelerator device, as well as an HLS-based overlay of a similar implementation designed to be used by a Python interface. The comparisons of the two architectures showcase that the HLS generated design can perform equally to or even better than the handwritten HDL equivalent, especially when the correct compiler directives are provided. Full article
(This article belongs to the Special Issue Modern Circuits and Systems Technologies on Electronics)
►▼ Show Figures

Figure 1

13 pages, 3043 KiB  
Article
Improved Parallel Legalization Schemes for Standard Cell Placement with Obstacles
by Panagiotis Oikonomou, Antonios N. Dadaliaris, Kostas Kolomvatsos, Thanasis Loukopoulos, Athanasios Kakarountas and Georgios I. Stamoulis
Technologies 2019, 7(1), 3; https://doi.org/10.3390/technologies7010003 - 22 Dec 2018
Viewed by 5100
Abstract
In standard cell placement, a circuit is given consisting of cells with a standard height, (different widths) and the problem is to place the cells in the standard rows of a chip area so that no overlaps occur and some target function is [...] Read more.
In standard cell placement, a circuit is given consisting of cells with a standard height, (different widths) and the problem is to place the cells in the standard rows of a chip area so that no overlaps occur and some target function is optimized. The process is usually split into at least two phases. In a first pass, a global placement algorithm distributes the cells across the circuit area, while in the second step, a legalization algorithm aligns the cells to the standard rows of the power grid and alleviates any overlaps. While a few legalization schemes have been proposed in the past for the basic problem formulation, few obstacle-aware extensions exist. Furthermore, they usually provide extreme trade-offs between time performance and optimization efficiency. In this paper, we focus on the legalization step, in the presence of pre-allocated modules acting as obstacles. We extend two known algorithmic approaches, namely Tetris and Abacus, so that they become obstacle-aware. Furthermore, we propose a parallelization scheme to tackle the computational complexity. The experiments illustrate that the proposed parallelization method achieves a good scalability, while it also efficiently prunes the search space resulting in a superlinear speedup. Furthermore, this time performance comes at only a small cost (sometimes even improvement) concerning the typical optimization metrics. Full article
(This article belongs to the Special Issue Modern Circuits and Systems Technologies on Electronics)
►▼ Show Figures

Figure 1

15 pages, 687 KiB  
Article
A Preconditioned Iterative Approach for Efficient Full Chip Thermal Analysis on Massively Parallel Platforms
by George Floros, Konstantis Daloukas, Nestor Evmorfopoulos and George Stamoulis
Technologies 2019, 7(1), 1; https://doi.org/10.3390/technologies7010001 - 20 Dec 2018
Cited by 1 | Viewed by 5090
Abstract
Efficient full-chip thermal simulation is among the most challenging problems facing the EDA industry today, especially for modern 3D integrated circuits, due to the huge linear systems resulting from thermal modeling approaches that require unreasonably long computational times. While the formulation problem, by [...] Read more.
Efficient full-chip thermal simulation is among the most challenging problems facing the EDA industry today, especially for modern 3D integrated circuits, due to the huge linear systems resulting from thermal modeling approaches that require unreasonably long computational times. While the formulation problem, by applying a thermal equivalent circuit, is prevalent and can be easily constructed, the corresponding 3D equations network has an undesirable time-consuming numerical simulation. Direct linear solvers are not capable of handling such huge problems, and iterative methods are the only feasible approach. In this paper, we propose a computationally-efficient iterative method with a parallel preconditioned technique that exploits the resources of massively-parallel architectures such as Graphic Processor Units (GPUs). Experimental results demonstrate that the proposed method achieves a speedup of 2.2× in CPU execution and a 26.93× speedup in GPU execution over the state-of-the-art iterative method. Full article
(This article belongs to the Special Issue Modern Circuits and Systems Technologies on Electronics)
►▼ Show Figures

Figure 1

9 pages, 1875 KiB  
Article
Development of a Transmission Line Model for the Thickness Prediction of Thin Films via the Infrared Interference Method
by Christos Mpilitos, Stamatios Amanatiadis, Georgios Apostolidis, Theodoros Zygiridis, Nikolaos Kantartzis and Georgios Karagiannis
Technologies 2018, 6(4), 122; https://doi.org/10.3390/technologies6040122 - 19 Dec 2018
Cited by 4 | Viewed by 5576
Abstract
An efficient transmission line model in the micrometric order is presented in this paper, to determine the thickness of thin dielectric films deposited on highly-doped substrates. In particular, the estimation of the thickness is based on multiple reflections of an incident infrared electromagnetic [...] Read more.
An efficient transmission line model in the micrometric order is presented in this paper, to determine the thickness of thin dielectric films deposited on highly-doped substrates. In particular, the estimation of the thickness is based on multiple reflections of an incident infrared electromagnetic wave generating interference on the sensor. To this objective, the periodicity of the local maxima and minima, including the phase shift and wavelength dependence of the reflection at the layer-substrate interface, leads in the extraction of the required thickness. Moreover, a theoretical transmission line circuit is designed, in order to model the multiple interferences scenario, and an iterative method is developed to converge towards the correct coating thickness. The featured theoretical transmission line model is validated, via a direct comparison with Certified Reference Materials, to indicate its overall accuracy and reliability level. Finally, the proposed method is utilized to calculate the thickness of coated metallic samples. Full article
(This article belongs to the Special Issue Modern Circuits and Systems Technologies on Electronics)
►▼ Show Figures

Figure 1

13 pages, 7291 KiB  
Article
Energy-Harvesting Powered Variable Storage Topology for Battery-Free Wireless Sensors
by Firdaous El Mahboubi, Marise Bafleur, Vincent Boitier and Jean-Marie Dilhac
Technologies 2018, 6(4), 106; https://doi.org/10.3390/technologies6040106 - 16 Nov 2018
Cited by 5 | Viewed by 4446
Abstract
The energy autonomy of wireless sensors is one of the main roadblocks to their wide deployment. The purpose of this study is to propose simple adaptive storage architecture, which combined with energy harvesting, could replace a battery. The main concept is based on [...] Read more.
The energy autonomy of wireless sensors is one of the main roadblocks to their wide deployment. The purpose of this study is to propose simple adaptive storage architecture, which combined with energy harvesting, could replace a battery. The main concept is based on using several ultracapacitors (at least two) that are reconfigured in a series or in parallel according to its state of charge/discharge, either to speed up the startup of the powered system or to provide energy autonomy. The proposed structure is based on two ultra-capacitors, one of small capacitance value and one of big value. Powered by an energy-harvesting source, the devised control circuitry allows cold start up with empty ultra-capacitors, pre-regulated output voltage, and energy usage efficiency close to 94.7%. Full article
(This article belongs to the Special Issue Modern Circuits and Systems Technologies on Electronics)
►▼ Show Figures

Figure 1

12 pages, 1248 KiB  
Article
FPGA-Based Implementation of a Multilayer Perceptron Suitable for Chaotic Time Series Prediction
by Ana Dalia Pano-Azucena, Esteban Tlelo-Cuautle, Sheldon X. -D. Tan, Brisbane Ovilla-Martinez and Luis Gerardo De la Fraga
Technologies 2018, 6(4), 90; https://doi.org/10.3390/technologies6040090 - 01 Oct 2018
Cited by 26 | Viewed by 5178
Abstract
Many biological systems and natural phenomena exhibit chaotic behaviors that are saved in time series data. This article uses time series that are generated by chaotic oscillators with different values of the maximum Lyapunov exponent (MLE) to predict their future behavior. Three prediction [...] Read more.
Many biological systems and natural phenomena exhibit chaotic behaviors that are saved in time series data. This article uses time series that are generated by chaotic oscillators with different values of the maximum Lyapunov exponent (MLE) to predict their future behavior. Three prediction techniques are compared, namely: artificial neural networks (ANNs), the adaptive neuro-fuzzy inference system (ANFIS) and least-squares support vector machines (SVM). The experimental results show that ANNs provide the lowest root mean squared error. That way, we introduce a multilayer perceptron that is implemented using a field-programmable gate array (FPGA) to predict experimental chaotic time series. Full article
(This article belongs to the Special Issue Modern Circuits and Systems Technologies on Electronics)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-7
Back to TopTop