Acceleration of acoustic emission signal processing algorithms using CUDA standard

Study of the Frictional Surface Damage Using Acoustic Emission Method

In this study, the change at rubbing surfaces has been investigated experimentally using an acoustic emission signal monitoring system. A steel ring is slipped on the surface of  a metallic sheet to simulate frictional conditions. The mechanical disturbances caused by the movement of the ring produce stress waves propagating along the sheet surface. The out of plane displacement of the sheet su...

GPU acceleration of object classification algorithms using NVIDIA CUDA

Numerical Simulation of a Lead-Acid Battery Discharge Process using a Developed Framework on Graphic Processing Units

In the present work, a framework is developed for implementation of finite difference schemes on Graphic Processing Units (GPU). The framework is developed using the CUDA language and C++ template meta-programming techniques. The framework is also applicable for other numerical methods which can be represented similar to finite difference schemes such as finite volume methods on structured grid...

Vibrotactile Identification of Signal-Processed Sounds from Environmental Events Presented by a Portable Vibrator: A Laboratory Study

Objectives: To evaluate different signal-processing algorithms for tactile identification of environmental sounds in a monitoring aid for the deafblind. Two men and three women, sensorineurally deaf or profoundly hearing impaired with experience of vibratory experiments, age 22-36 years. Methods: A closed set of 45 representative environmental sounds were processed using two transposing (TRH...

GPU-Accelerated Computation for Robust Motion Tracking Using the CUDA Framework

In this paper, we discuss our implementation of a graphics hardware acceleration of the Vector Coherence Mapping vision processing algorithm. Using this algorithm as our test case, we discuss our optimization strategy for various vision processing operations using NVIDIA’s new CUDA programming framework. We also demonstrate how flexibly and readily vision processing algorithms can be mapped ont...