Special Issue "Wireless Sensor Networks on Internet of Things and Intelligent System"

A special issue of Applied System Innovation (ISSN 2571-5577).

Deadline for manuscript submissions: 31 October 2018

Special Issue Editors

Guest Editor
Prof. Dr. Subhas Chandra Mukhopadhyay

Professor of Mechanical/Electronic Engineering, School of Engineering, MQ Centre for Smart Green Cities, Macquarie University, NSW 2109, Australia
Website | E-Mail
Phone: +61-2-9850-6510
Fax: +61-2-9850-9128
Interests: WSN; IoT; Body Area Networks; Sensor Applications; Sensor Fabrication; Mechanical Sensors; Chemical/Gas/Biological/Solid State Sensors
Guest Editor
Prof. Dr. Jih-Fu Tu

Department of Electronic Engineering, St. John's University, No. 499, Sec. 4, Tam King Road, Tamsui District, New Taipei City 25135, Taiwan
E-Mail
Interests: Discrete event systems; Internet of Things (IoT) application design; Smart Motion system design; programmable system control

Special Issue Information

Dear Colleagues,

In the coming years, the “Industry 4.0” is an important hub for mechanical, electrical and other “hidden champion” industries. No matter how, the government, companies, academies have devoted many resource and much effort to raising the industrial. The Internet of Thing (IoT) and Intelligence System are based on Wireless Sensor Networks (WSN) to attach and had become one of the well-known scientific events worldwide in industry. We invite the submission of papers related to various aspects of Wireless Sensor Networks to apply in Intelligence Design and System of industries.

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

  • Theories or application of Wireless Sensor Networks (WSN)
  • Theories or application of Internet-of-Things (IoT)
  • Intelligence Electronic Circuits and Systems Design
  • Design, Simulation, and Applications of Intelligence Electronic Circuits
  • Saving Energy and Electrical Engineering Methods
  • Intelligence Theories, System, and Circuits Design
  • Intelligence Circuit and System Design Tools
  • Big Data Communication and Databased Applied on IoT
  • Others related to Wireless Sensor Networks or Intelligence Design and System

Prof. Dr. Subhas Chandra Mukhopadhyay
Prof. Dr. Jih-Fu Tu
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. Applied System Innovation is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) is waived for well-prepared manuscripts submitted to this issue. 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.

Published Papers (1 paper)

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Research

Open AccessArticle Developing a Decision Support System (DSS) for a Dental Manufacturing Production Line Based on Data Mining
Appl. Syst. Innov. 2018, 1(2), 17; https://doi.org/10.3390/asi1020017
Received: 7 April 2018 / Revised: 27 May 2018 / Accepted: 27 May 2018 / Published: 30 May 2018
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Abstract
In this study, an Industry 4.0 framework-based decision support system (DSS) was developed using a combination of wireless network and RFID identification technology to manage a production line in a traditional dental manufacturing lab. The motivation was to prevent mistakes from manual recording,
[...] Read more.
In this study, an Industry 4.0 framework-based decision support system (DSS) was developed using a combination of wireless network and RFID identification technology to manage a production line in a traditional dental manufacturing lab. The motivation was to prevent mistakes from manual recording, to remotely monitor the working hours of employees in manufacturing processes via internet, and to evaluate the rationality of the employee’s working hours. In the DSS, four network nodes were established to track four important manufacturing processes of digital dentistry. In each of these processes, the time spent by the dental technician was recorded by scanning their ID cards. All information was simultaneously uploaded to a databank in the cloud and analyzed by the computer software MATLAB. These programs evaluated the rationality of employees’ working hours in each of the monitored processes, which can help managers to follow up or improve the process efficiency. Full article
(This article belongs to the Special Issue Wireless Sensor Networks on Internet of Things and Intelligent System)
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