Embedded multi/manycore processors for ml/dl in medical cyber physical systems

in Special Issue   Posted on August 16, 2020 

Information for the Special Issue

Submission Deadline: Fri 30 Apr 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/embedded-multimanycore-processors-for-mldl
Journal & Submission Website: https://www.journals.elsevier.com/microprocessors-and-microsystems

Special Issue Call for Papers:

An embedded system is a cyber system being an inseparable part of a certain larger system. It serves a specific aim in this larger system through executing specific computation and communication processes required by its application. It is application-specific. It has to be especially designed or adopted to adequately serve the execution of these specific computation processes, and satisfy the application’s requirements related to such attributes as functional behavior, reaction speed or throughput, energy consumption, geometrical dimensions, price, reliability, safety, security, etc. Typically, embedded systems are real-time systems, include sensing, interfacing, processing and/or actuating sub-systems, and involve by implementing various mixtures of digital and analogue hardware, and embedded software. In brief, embedded systems are cyber systems that are tightly coupled with the systems that they control, supervise, monitor or diagnose. Multi/Many-core processors achieve optimal energy efficiency and performance scalability by increasing or decreasing the number of cores in use according to processing requirements. Multi/Many-core processors are ideal for advanced embedded systems requiring precise control with minimal power consumption, such as image recognition, cyber-physical security, devices and medical applications.

However, there is a need to efficiently implement ML/DL in edge computing with electronic systems to learn autonomously from existing data and to use this acquired knowledge to independently make assessments, predictions and decisions. These kinds of applications are highly compute-intensive, so they are traditionally executed on PCs and cloud servers.

Cyber systems are the information for collecting, processing, and communicating systems with embedded multi/manycore processors for real time application. They actually control its multicore systems with other cyber, physical, biological or social systems. Cyber Physical systems are systems in which matter or energy acquisition, processing and communication take place in emerging medical field applications. Certainly, Now Modern Medical cyber-physical systems (CPS) are smart compound systems engineered through seamless integration of cyber and physical sub-systems or components and/or pre-existing component cyber-physical systems, so that they appear and operate as a coherent single unit in relation to the other systems to operate more accurate and speed within a second in healthcare devices. The sub-system integration involves both an optimized spatial arrangement of the sub-systems, as well as, a seamless interconnection, and guaranteed real-time, safe, and secure communication and collaboration of the subsystems with embedded emerging new field medical application devices. As medical cyber-physical systems may involve other cyber-physical systems as their sub-systems, the above definition also covers systems involving biological sub-systems, including human beings, or even social systems. Various medical CPS systems and a health-care system can serve here as a good examples.

Medical cyber physical systems integrates its work with healthcare devices as a public ledger and also it assists the specialists of medical devices to overcome the crucial issues related to medical devices and hence it faces its numerus challenges incorporating the software tools with high security, privacy and high assurance to efficiently monitor with embedded multi/many core network.

Potential topics included, but not limited

  • ML/DL in embedded computing for sensing psychological parameters and emotion care
  • ML/DL in design and implementation of embedded processor for smart medical systems
  • Embedded system with key algorithm for medical CPS
  • Embedded computing of brain computer interface configuration in FPGA
  • Cyber physical system in wearable and implantable medical device security
  • Embedded and flexible sensor circuits integration for medical CPS

Important Dates:

Submission of manuscript: April 30, 2021

First notification: June 30, 2021

Submission of revised manuscript: August 15, 2021

Notification of the re-review: September 30 , 2021

Final notification: November 30, 2021

Guest Editor:

Prof. Dr. Sundhararajan (Managing Guest Editor)

Bharath University, India
Email: [email protected]
Webpage: https://www.bharathuniv.ac.in/colleges1/downloads/faculty_bio_data/ece_faculty/Dr.M.Sundararajan.pdf

Dr.Imed Ben Dhaou
Adjunct Professor, Embedded Electronics
University of Turku, Finland
E-mail: [email protected], [email protected]
Website: https://www.utu.fi/en/people/imed-ben-dhaou

Dr.Tomasz RAK, PhD. Eng.,
Department of Computer and Control Engineering
Rzeszow University of Technology
Powstancow Warszawy 12
35-959 Rzeszow, POLAND
Email : [email protected]
Webpage : https://trak.kia.prz.edu.pl/

Prof. Leporati Francesco,
Department of Electrical Computer and Biomedical Engineering
University of Pavia, Pavia, Italy
Email : [email protected]
Webpage : http://mclab.unipv.it/index.php/staff/2-non-categorizzato/17-leporati-eng



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