Special Issue "Electronic Devices on Intelligent IoT Applications"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editors

Prof. Dr. Teen­-Hang Meen
E-Mail Website
Guest Editor
Department of Electronic Engineering National Formosa University, Yunlin 632, Taiwan
Interests: IOT devices; photovoltaic devices; STEM education
Special Issues and Collections in MDPI journals
Prof. Dr. Charles Tijus
E-Mail Website
Guest Editor
Director of the Cognitions Humaine et Artificielle Laboratory, Professeur de Psychologie Cognitive – Université, Paris 8, France
Interests: internet of objects; data mining; brain–computer interaction
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

In a modern technological society, electronic engineering and design innovations are both academic and practical engineering fields that involve systematic technological materialization through scientific principles and engineering designs. Engineers and designers must work together with a variety of other professionals in their quest to find system solutions to complex problems. Rapid advances in science and technology have broadened the horizons of engineering whilst simultaneously creating a multitude of challenges in every aspect of modern life. Current research is interdisciplinary in nature, reflecting a combination of concepts and methods that often span several areas of mechanics, mathematics, electrical engineering, control engineering, and other scientific disciplines. 

In addition, manufacturing is the economic lifeline of a country and has been regarded as a labor-intensive industry. Therefore, to cut production costs, devices for the internet of things (IoT) are widely developed. The IoT is composed of the most integrated end devices and facilities, such as intelligent sensors for internal control, industrial systems, mobile terminal systems, floor control systems, and intelligent home facilities. Smart devices and external control information are utilized with the hope of attracting companies that manufacture high-value-added aerospace, automotive, IT mold, textile, optoelectronic, watch, medical, defense-related, automation, energy, and semiconductor-related parts and components to drive the country’s economy. The main goal of this Special Issue, “Electronic Devices in Intelligent IoT Applications”, is to discover new scientific knowledge relevant to the following topics:

  • Electrical circuits and devices in intelligent IoT applications;
  • Microelectronics and computer technology in intelligent IoT applications;
  • Electrical engineering communications in intelligent IoT applications;
  • Microwave and electronic system engineering in intelligent IoT applications;
  • Microelectronics and optoelectronics in intelligent IoT applications;
  • Signal processing in intelligent IoT applications;
  • System and control engineering in intelligent IoT applications;
  • Computer science and engineering in intelligent IoT applications;
  • Cognitive technologies and interaction design;
  • Communication and information processing in intelligent IoT applications.

Prof. Dr. Teen­-Hang Meen
Prof. Dr. Charles Tijus
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 papers will be 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. Electronics 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 1800 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

  • intelligent IoT applications
  • electrical circuits and devices
  • electrical engineering
  • communications
  • microelectronics

Published Papers (2 papers)

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Research

Article
An Adaptive Heart Rate Monitoring Algorithm for Wearable Healthcare Devices
Electronics 2021, 10(17), 2092; https://doi.org/10.3390/electronics10172092 - 29 Aug 2021
Viewed by 187
Abstract
This paper focuses on developing an adaptive heart rate monitoring algorithm for wrist-based rehabilitation systems. Due to the characteristics of the wrist, the heartbeat measurements are unstable. To improve the preprocessing efficiency and perform measurement calibration, a novel joint algorithm incorporating automatic multiscale-based [...] Read more.
This paper focuses on developing an adaptive heart rate monitoring algorithm for wrist-based rehabilitation systems. Due to the characteristics of the wrist, the heartbeat measurements are unstable. To improve the preprocessing efficiency and perform measurement calibration, a novel joint algorithm incorporating automatic multiscale-based peak detection and fuzzy logic control (AMPD-Fuzzy) is proposed. The monitoring approach consists of two phases: (1) Preprocessing and (2) Detection and Calibration. Phase 1 explores the parameter settings, threshold, and decision rules. Phase 2 applies fuzzy logic control and the Laplacian model to provide signal reshaping. Experimental results show that the proposed algorithm can effectively achieve heart rate monitoring for wearable healthcare devices. Full article
(This article belongs to the Special Issue Electronic Devices on Intelligent IoT Applications)
Article
Slip Estimation and Compensation Control of Omnidirectional Wheeled Automated Guided Vehicle
Electronics 2021, 10(7), 840; https://doi.org/10.3390/electronics10070840 - 01 Apr 2021
Cited by 1 | Viewed by 458
Abstract
To achieve Industry 4.0 solutions for the networking of mechatronic components in production plants, the use of Internet of Things (IoT) technology is the optimal way for goods transportation in the cyber-physical system (CPS). As a result, automated guided vehicles (AGVs) are networked [...] Read more.
To achieve Industry 4.0 solutions for the networking of mechatronic components in production plants, the use of Internet of Things (IoT) technology is the optimal way for goods transportation in the cyber-physical system (CPS). As a result, automated guided vehicles (AGVs) are networked to all other participants in the production system to accept and execute transport jobs. Accurately tracking the planned paths of AGVs is therefore essential. The omnidirectional mobile vehicle has shown its excellent characteristics in crowded environments and narrow aisle spaces. However, the slip problem of the omnidirectional mobile vehicle is more serious than that of the general wheeled mobile vehicle. This paper proposes a slip estimation and compensation control method for an omnidirectional Mecanum-wheeled automated guided vehicle (OMWAGV) and implements a control system. Based on the slip estimation and compensation control of the general wheeled mobile platform, a Microchip dsPIC30F6010A microcontroller-based system uses an MPU-9250 multi-axis accelerometer sensor to derive the longitudinal speed, transverse speed, and steering angle of the omnidirectional wheel platform. These data are then compared with those from the motor encoders. A linear regression with a recursive least squares (RLS) method is utilized to estimate real-time slip ratio variations of four driving wheels and conduct the corresponding compensation and control. As a result, the driving speeds of the four omnidirectional wheels are dynamically adjusted so that the OMWAGV can accurately follow the predetermined motion trajectory. The experimental results of diagonally moving and cross-walking motions without and with slip estimation and compensation control showed that, without calculating the errors occurred during travel, the distances between the original starting position to the stopping position are dramatically reduced from 1.52 m to 0.03 m and from 1.56 m to 0.03 m, respectively. The higher tracking accuracy of the proposed method verifies its effectiveness and validness. Full article
(This article belongs to the Special Issue Electronic Devices on Intelligent IoT Applications)
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