Journal
Computers and Electrical Engineering (SCI)
Special Section on Edge Intelligence in Industrial Applications (VSI-eiia)
Overview
The development of cloud computing, big data, Internet of Things, high-performance computing, and other emerging technologies is dramatically influencing industrial applications. Specifically, the current scenario is usually an ecosystem made up of intelligent embedded systems and intelligent products. It combines lots of intelligent and autonomous devices, which can perform predictive analysis and human-machine collaboration, to improve the level of personalization, efficiency and reliability. With the expansion of the industrial system, the complexity of the system has also increased considerably. Centralized data centers cannot analyze such massive amounts of data in a timely fashion. Thus, the concept of edge computing is presented to solve the issue.
With edge computing and analytics, the data is processed near the source, in sensors, controllers, machines, and gateways. In addition to the basic requirements for network latency, industrial applications also place requirements on self-monitoring, self-diagnosis, self-reconfiguration, and self-adaptation. This requires the edge not only to perform simple data processing, but also integrate intelligence. Therefore, the future trend is to integrate new intelligence algorithms into the edge, but research on this is still limited. The purpose of this special section is to present the advances in the field of edge-based industrial applications, to promote the development of the theory and practice in this area.
Topics
This special section has a wide scope that includes the development of edge intelligence, current applications, analysis of key technologies, and methods to solve problems for future development of edge intelligence.
Topics include:
Multi-agent systems in industryControl with distributed edge intelligenceData interaction between edge and cloud platformSecurity and privacy in edge intelligenceHuman and machine intelligence fusion based on edge computingIntelligent decision-making systems for edge computingEdge intelligence for Industrial Internet of ThingsData mining and knowledge discovery based on big data analysis from the aspect of edge intelligenceBlockchain technology for edge intelligenceDigital twins and digital shadows from the aspect of edge intelligenceMixed production planning and scheduling based on edge intelligence
Submission Guidelines:
All submissions must not be currently under review for publication elsewhere. All articles will be peer-reviewed and accepted based on quality, originality, novelty, and relevance to the special section's theme. Authors are invited to submit their papers through the journal's web submission tool at https://www.evise.com/profile/#/COMPELECENG/login by selecting "SI-eiia" from the "Issues" pull-down menu during the submission process.
Before submission, authors should carefully read the journal's Author Guidelines available at http://www.elsevier.com/wps/find/journaldescription.cws_home/367/authorinstructions
Schedule:
Submission of manuscript: July 15, 2020
First notification: August 31, 2020
Submission of revised manuscript: September 30, 2020
Notification of the re-review: October 31, 2020
Final notification: November 15, 2020
Final paper due: December 15, 2020
Publication: March 2021
Guest Editors:
Main Guest Editor: Jiafu Wan, South China University of Technology, China, mejwan@scut.edu.cn
Guest Editor: Fangyang Shen, New York City College of Technology, USA, fshen@citytech.cuny.edu