Notification:
We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

An embryonic approach to reliable digital instrumentation based on evolvable hardware

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Sahni, V. ; Fac. of Eng., Deemed Univ., Dayalbagh, India ; Pyara, V.P.

Embryonics encompasses the capability of self-repair and self-replication in systems. This paper presents a technique based on reconfigurable hardware coupled with a novel backpropagation algorithm for reconfiguration, together referred to as evolvable hardware (EHW), for ensuring reliability in digital instrumentation. The backpropagation evolution is much faster than genetic learning techniques. It uses the dynamic restructuring capabilities of EHW to detect faults in digital systems and reconfigures the hardware to repair or adapt to the error in real-time. An example application is presented of a robust BCD to a seven-segment decoder driving a digital display. The results obtained are quite interesting and promise quick and low cost embryonic schemes for reliability in digital instrumentation.

Published in:

Instrumentation and Measurement, IEEE Transactions on  (Volume:52 ,  Issue: 6 )