An unified approach for convolution-based image filtering on reconfigurable systems

2011 ◽  
Author(s):  
Jones Y. Mori ◽  
Camilo Sanchez-Ferreira ◽  
Daniel M. Munoz ◽  
Carlos H. Llanos ◽  
Pedro Berger
Keyword(s):  
Image Filtering ◽  
Reconfigurable Systems ◽  
Unified Approach

A Unified Approach to Digital Photoelasticity Incorporating Image Filtering and Inverse Methods

2003 ◽  
Vol 440-441 ◽  
pp. 93-102 ◽  
Author(s):  
I.A. Jones ◽  
P. Wang ◽  
A.A. Becker ◽  
Thomas H. Hyde ◽  
T.P. Pridmore ◽  
...  
Keyword(s):  
Image Filtering ◽  
Inverse Methods ◽  
Unified Approach ◽  
Digital Photoelasticity

A Unified Approach to Study the Thermal Dynamics in Multilongitudinal Mode Semiconductor Lasers

2001 ◽  
Vol 20 (2) ◽  
pp. 159-169 ◽  
Author(s):  
M. Ganesh Madhan ◽  
P. R. Vaya ◽  
N. Gunasekaran
Keyword(s):  
Semiconductor Lasers ◽  
Unified Approach ◽  
Thermal Dynamics

Formal Verification of Control System Software

2019 ◽  
Author(s):  
Pierre-Loïc Garoche
Keyword(s):  
Control System ◽  
Formal Verification ◽  
Formal Analysis ◽  
Critical Systems ◽  
System Software ◽  
Unified Approach ◽  
Verification Methods ◽  
Autonomous Cars ◽  
Computer Scientists ◽  
Verification Techniques

The verification of control system software is critical to a host of technologies and industries, from aeronautics and medical technology to the cars we drive. The failure of controller software can cost people their lives. This book provides control engineers and computer scientists with an introduction to the formal techniques for analyzing and verifying this important class of software. Too often, control engineers are unaware of the issues surrounding the verification of software, while computer scientists tend to be unfamiliar with the specificities of controller software. The book provides a unified approach that is geared to graduate students in both fields, covering formal verification methods as well as the design and verification of controllers. It presents a wealth of new verification techniques for performing exhaustive analysis of controller software. These include new means to compute nonlinear invariants, the use of convex optimization tools, and methods for dealing with numerical imprecisions such as floating point computations occurring in the analyzed software. As the autonomy of critical systems continues to increase—as evidenced by autonomous cars, drones, and satellites and landers—the numerical functions in these systems are growing ever more advanced. The techniques presented here are essential to support the formal analysis of the controller software being used in these new and emerging technologies.

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