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LE/FT Lab research mentioned in The Atlantic

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Submitted by winstead on Wed, 09/10/2014 - 14:08

One of our research projects in vehicular communication has been noticed by The Atlantic magazine. LE/FT Lab researchers have teamed with Prof. Ryan Gerdes to study security and reliability in automated vehicles.  The project also involves Prof. Rajnikant Sharma of the USU RISC Lab (they do research on coordinated control systems),  Prof. Ming Li of the USU WiSeR Lab (in the Computer Science Department), and Prof. Kevin Heaslip (now with the Transportation Infrastructure group at Virginia Tech).

Here's a quote from the article:

Imagine this future scenario: Self-driving cars form an orderly procession down a highway, traveling at precisely the right following distance and speed. All the on-board computers cooperate and all the vehicles travel reach their destinations safely. 

But what if one person jailbreaks her car, and tells her AI driver to go just a little faster than the other cars? As the aggressive car moves up on the other vehicles, their safety mechanisms kick in and they change lanes to get out of the way. It might make the overall efficiency of the transportation lower, but this one person would get ahead. 

This is but one of many scenarios that Ryan Gerdes of Utah State University is exploring with a $1.2 million grant from the National Science Foundation to look at the security of the autonomous vehicle future. 


Our article on Restorative Feedback in M-ary Logic Circuits

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Submitted by winstead on Tue, 04/29/2014 - 15:33

Our article on the Restorative Feedback method (RFB) for fault-tolerant registers is now published as an OpenAccess article by the Journal of Multiple Valued Logic and Soft Computing. You can read our previous blog entry, "Making a Better TMR", which gives a tutorial introduction to the RFB method, or you can access the full article here.

Full citation: 

  • Chris Winstead, Yi Luo, Eduardo Monzon and Abiezer Tejeda, "Error Correction via Restorative Feedback in M-ary Logic Circuits," Journal of Multiple Valued Logic and Soft Computing, vol. 23, no. 3-4, pp. 337-363, 2014.


LE/FT research presented at Bretagne Telecom, Brest, France, April 22.

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Submitted by winstead on Wed, 04/23/2014 - 04:00

Dr. Winstead delivered a presentation at Bretagne Telecom, titled "Recent results on bit-flipping LDPC decoders." The slides and associated article links are available at the bottom of this announcement. This presentation offered a summary of our work on the Noisy Gradient Descent Bit Flipping (NGDBF) algorithm, which was invented by PhD student Gopal Sundar.

LE/FT Research presented at the "Designing With Uncertainty" workshop, York, UK

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Submitted by winstead on Mon, 03/24/2014 - 09:29

Prof. Winstead attended a workshop at the University of York, titled Designing with Uncertainty: Opportunities and Challenges. We presented some recent results from our research on noise-assisted algorithms. Specifically, we presented some results from an error-correction algorithm proposed by PhD student Gopal Sundar: a simple and well-known "bit-flipping" technique is significantly improved by adding random noise into its calculations.

Gopal Sundar to present at MWSCAS 2013

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Submitted by winstead on Fri, 06/14/2013 - 02:17
LE/FT Lab member Gopalakrishnan Sundararajan's article has been accepted for presentation at the 2013 Midwest Symposium on Circuits and Systems in Columbus, Ohio this August. Now in its 56th year, MWSCAS is one of IEEE's longest running conferences. In spite of its name, the "Midwest Symposium" is actually an international conference often hosted outside the United States.

David Toribio to present at EMBC 2013

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Submitted by winstead on Wed, 06/12/2013 - 07:23
A recent LE/FT Lab graduate, David Toribio, will present results from his MS thesis at the 2013 Engineering in Medicine and Biology Conference (EMBC) in Osaka, Japan. David investigated multi-band inductive links for wireless data communication in bio-implanted devices. His EMBC presentation focuses specifically on high-speed modulation techniques and signal processing for cortical implants. His results can be applied for brain-machine interfaces and neural prosthetics -- devices which replace or assist damaged functions in the central nervous system.
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