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Sensor System and Signal Analysis in Automatic and Intelligent Manufacturing under Industry 4.0

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 617

Special Issue Editors


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Guest Editor
School of Information Science and Engineering, Shandong University, Qingdao 266237, China
Interests: signal processing; computer vision; deep learning; neural network; image classification
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Software, Xinjiang University, Urumqi 830091, China
Interests: intelligent Internet of Things; data analysis and application; pervasive computing

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Guest Editor
College of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan 411228, China
Interests: intelligent control; information processing; wind power generation control technology
School of Information Engineering, Nanchang University, Nanchang 330031, China
Interests: intelligent communication; blockchain; data mining; machine learning

Special Issue Information

Dear Colleagues,

Industry 4.0 is the fourth industrial revolution, dominated by automatic and intelligent manufacturing that improves the operation efficiency of society through various technologies, such as automatic production, intelligent control, and intelligent monitoring. Intelligent sensor techniques, especially signal analysis in sensor networks, have made breakthrough progress in many industrial production fields. Intelligent sensors contain a microprocessor, which has the ability to collect, process and exchange information. It is the product of the combination of sensor integration and the microprocessor. The breakthrough of wireless communications, machine learning and other theories has promoted the research and application of intelligent sensors. In fact, an intelligent system integrating sensors can be applied in many manufacturing fields. Machine vision modules collect data through sensors, and data-driven machine learning methods gain the ability of machine vision, forming a closed-loop system for wide application in various industries.

So far, sensor techniques have been deeply studied in theory by researchers around the world, and intelligent edge computing based on sensor systems has been widely used and developed in the industry. The purpose of this Special Issue is to gather a collection of articles on the latest research and developments in this field.

Dr. Qinghe Zheng
Dr. Yajun Zhang
Prof. Dr. Hui Hu
Dr. Lisu Yu
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. Sensors 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 2600 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

  • sensors
  • physical sensors
  • intelligent sensors
  • sensor network
  • quality monitoring
  • product inspection
  • automatic production
  • IoT applications
  • pattern classification

Published Papers

There is no accepted submissions to this special issue at this moment.
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