AUTOMATION & INTELLIGENCE WITH EMBEDDED SYSTEMS FOR CYBER PHYSICAL SYSTEMS

  in Special Issue   Posted on June 25, 2020

Information for the Special Issue

Submission Deadline: Sun 15 Aug 2021
Journal Impact Factor : 1.161
Journal Name : Microprocessors and Microsystems
Journal Publisher:
Website for the Special Issue: https://www.journals.elsevier.com/microprocessors-and-microsystems/call-for-papers/automation-intelligence-with-embedded-systems
Journal & Submission Website: https://www.journals.elsevier.com/microprocessors-and-microsystems

Special Issue Call for Papers:

In today’s scenario of the technical world, every industry requires some automation and intelligence that is combined in the form of embedded systems. Embedded systems are generally hardware components, which are fused with additional capabilities using customized software. In general, embedded systems are programmed with microprocessors or microcontrollers that are used predominantly to accomplish any particular task. Thus, the size of the embedded systems varies with different applications. Embedded systems comprise three components namely the physical hardware, application-specific software and Real-Time Operating System (RTOS). Most of the embedded systems are task-oriented focus on particular system functionalities. It possesses significant advantages such as low cost, low power, small-sized and high-performance systems that work predominantly with the dynamic real-time environment. However, as an individual technical entity, embedded systems fail to cope with emerging disruptive technical requirements. This is due to the reason that there exists a crucial gap between the physical and the information world in embedded applications. In contrast, convergence with present-day advanced techniques can bridge the gap and result in significant technological advancements. For instance, the pacemaker is a well-known embedded application; integrating the Internet of Things (IoT) technologies with it could assist in effective real-time health data analysis and emergency assistance.

In the contemporary age of sophisticated technology, internet and Cyber-Physical Systems (CPS) forms an obvious part of the day to day life. Cyber-Physical Systems (CPS) is an integration of physical and logical systems to comprise interaction between digital, analog, and human components. These systems act as an establishment factor for various applications such as the Internet of Things (IoT), Industrial Internet of Things (IIoT), smart cities, industrial internet, smart grid, and several other smart systems (e.g., cars, building, parking, home, etc.). In general, CPS enables composite interaction between various heterogeneous cyber and physical components. The complex nature of Cyber-Physical Systems (CPS) leads to various purposeful and accidental disturbances across the network making the behavior prediction (normal or faulty system behavior) a difficult process. As an active measure, the convergence of the Cyber-Physical System (CPS) with embedded systems can significantly enhance both the sectors and offer numerous benefits. Further, it automates various systems processes with advanced intelligence measures.

This special issue offers an excellent platform for the researchers to present their novel views and solutions on embedded systems and Cyber-Physical System (CPS) for automation and intelligence measures.

The following topics are welcome but not restricted to:

  • Innovation and automation in smart cities with embedded systems and cyber-physical systems (CPS)
  • Frontiers in next generation high performance computing with embedded systems and cyber-physical systems (CPS)
  • Automation intelligence in robotics with embedded systems and cyber-physical systems (CPS)
  • Role of cyber-physical systems (CPS) and embedded systems in Internet of Things (IoT) smart cities (smart healthcare, smart transportation, smart buildings, etc.)
  • Ubiquitous and persuasive computing with Internet of Things (IoT), embedded systems and cyber-physical systems (CPS)
  • Artificial intelligence for Embedded and cyber-physical system (CPS) applications
  • Concerted effort of Internet of Things (IoT), blockchain, cyber-physical system (CPS), Artificial Intelligence (AI) and embedded systems in neural and mental healthcare
  • Design methodologies and architectural framework for sustainable cyber-physical system (CPS) with embedded systems
  • Cloud-fog-edge computing for sustainable Internet of Things (IoT) and Cyber-Physical Systems (CPS)
  • A new era of embedded computing with advanced technologies in embedded systems and cyber-physical systems (CPS)
  • Combined effect of cyber-physical systems (CPS) and embedded systems for advancement insmart autonomous unmanned vehicle systems (UVS)
  • Embedded system for intelligent mobile cyber-physical systems (CPS)
  • Energy-efficient low power architectures for cyber-physical systems (CPS) using embedded systems
  • Intelligent embedded systems architectures for cyber-physical systems (CPS) with federated learning (FL) and artificial intelligence (AI) techniques
  • Design for resilience in cyber-physical systems (CPS) with embedded computing.

Important Dates:

Author invitation : July 02, 2020

First Paper Expected : October 06, 2020

Submission Deadline : August 15, 2021

Final Acceptance : October 20, 2021

Guest Editors:

Dr. Carlos Enrique Montenegro Marin

Professor,

District University Francisco José de Caldas,

Bogotá, Colombia

Official Email ID: cemontenegrom@udistrital.edu.co

Google Scholar: https://scholar.google.com/citations?user=ejJHY40AAAAJ&hl=es

Research Gate: https://www.researchgate.net/profile/Carlos_Marin4

Dr. Carlos Enrique Montenegro Marin received the Diploma of Advanced Studies degree from the Pontifical University of Salamanca, in 2008, the M.Sc. degree in Information and Communication Systems from the Universidad Distrital Francisco José de Caldas, and the Ph.D. degree in Systems and Computer Services for the Internet from the University of Oviedo, Asturias, Spain, in 2012. He was classified with the highest recognition of research by Colciencias in 2017 (Senior Researcher). He is the director of the GIIRA research group of the University District, a group that also received the highest recognition by Colciencias. He is currently a Systems Engineer. His skills and expertise are in the areas of Java Programming, Cloud Computing, Web Development, Object-Oriented Programming, Grid Computing, LMS, Virtualization, Software Engineering, and Linux Administration.

Dr. Paulo Alonso Gaona Garcia

Professor,

District University Francisco José de Caldas,

Bogotá, Colombia

Official Email ID: pagaonag@udistrital.edu.co

Google Scholar Link: https://scholar.google.es/citations?user=xMe8_CMAAAAJ&hl=es

Research Gate Link: https://www.researchgate.net/profile/Paulo_Gaona-Garcia

Dr. Paulo Alonso Gaona Garcia received his Ph.D in Information and Knowledge Engineering in Computer Science from University of Alcalá in 2014 and Masters in Information and Information Sciences Communications, Teleinformatics from Francisco José de Caldas District University in 2007. He was working as Professor and Project Advisor in National Pedagogical University. He is currently working as Director of Engineering Research in Francisco José de Caldas District University. His research and publication topics are in the areas of Internet of Things, ad hoc Networks, Error Statistics, Power Consumption, Quality of Service, Telecommunication Power Management, and Wireless Sensor Networks.

Dr. Edward Rolando Nuñez Valdez

Professor,

University of Oviedo,

Oviedo, Spain

Official Email ID: nunezedward@uniovi.es

Google Scholar Link: https://scholar.google.es/citations?hl=es&user=pNT4A7wAAAAJ

Research Gate Link: https://www.researchgate.net/profile/Edward_Nunez_Valdez

Dr. Edward Rolando Nuñez Valdez is working as a Professor at the University of Oviedo in Spain. He completed his Ph.D. from the University of Oviedo in Computer Engineering, Master Degree in Software Engineering from the Pontifical University of Salamanca and B.S. in Computer Science from Autonomous University of Santo Domingo. He has participated in several research projects; He has taught computer science at various schools and universities and has worked in software development companies and IT consulting for many years. He has published several articles in international journals and conferences. His research interests include Web Engineering, Artificial Intelligence, Cloud Computing, Recommendation Systems, Modeling Software with DSL and MDE. 

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