Back close

Soc & Embedded System Design Environment and its Applications to Wireless and Security

Project Incharge:Dr. Maneesha Vinodini Ramesh
Project Incharge:Dr. Masahiro Fujitha
Co-Project Incharge:Dr. Bibhudatta Sahoo
Funded by:DST
Soc & Embedded System Design Environment and its Applications to Wireless and Security
  • High level objective: Develop next generation VLSI/ SoCs and Testbeds
  • Leverage Amrita Vishwa Vidyapeetham’s expertise on Wireless Network, Cyber Security and Analog Design
  • Utilize University of Tokyo’s expertise on Algorithms and Programmable hardware
     

Objectives

  • Build a low cost, PC based, robust testbed to test embedded software running on Design Under Test (typically a micro-controller) using a hybrid approach, combining both event driven and Time triggering mechanisms to satisfy both timeliness and schedulability properties of a terstbed.
  • To use PMEs techniques (Patterns for Migration of Embedded Systems) to migrate the design of an Insulin Pump prototype from a complex, error prone, event driven architecture to simpler time triggered architure, that has been deterministic experience.
     

Team Members

Achievements:

IMG_2472
  • Joint Publication, “MAESTRO: A Time-Driven Embedded Testbed Architecture with Event-Driven 3 Synchronization” co-authored by Sriram Karunagaran (PhD Student, Amrita) and Dr. Fujita at RTAS (IEEE Real Time Technology and Applications Symposium premier conference in the area of Embedded Systems
  • FDP by Dr. Fujita to Engineering School Faculty, August 2014
  • Distinguished Lecture by Dr. Fujita to VLSI Students and Faculty, August 2014

Related Projects

Structural Modifications of Antimicrobial Chitosan
Structural Modifications of Antimicrobial Chitosan
Social Event Detection
Social Event Detection
Study of Socio-Economic Aspects of Sustainability and Influence of Human Behavior in Efficient Energy Usage Using Machine Learning
Study of Socio-Economic Aspects of Sustainability and Influence of Human Behavior in Efficient Energy Usage Using Machine Learning
Synthesis and Preliminary Evaluation of Ring
Synthesis and Preliminary Evaluation of Ring
Identification of New Autoantigens in Rheumatold Arthritis using an Unbiased Clinical Proteomics Approach
Identification of New Autoantigens in Rheumatold Arthritis using an Unbiased Clinical Proteomics Approach
Admissions Apply Now