Now showing items 1-6 of 6
Accelerating IP routing algorithm using graphics processing unit for high speed multimedia communication
(© 2016 Springer New York LLC, 2016)
This paper presents a Graphics Processing Unit (GPU)-based implementation of a Bellman-Ford (BF) routing algorithm using NVIDIA’s Compute Unified Device Architecture (CUDA). In the proposed GPU-based approach, multiple ...
Accelerating 2d fault diagnosis of an induction motor using a graphics processing unit
(© 2015 Science and Engineering Research Support Society, 2015)
This paper presents a computationally efficient graphics processing unit (GPU) implementation of a reliable fault diagnosis method using two-dimensional (2D) representation of vibration signals. The fault diagnosis method ...
A two-dimensional fault diagnosis model of induction motors using a gabor filter on segmented images
(© 2016 Science and Engineering Research Support Society, 2016)
Image segmentation has received extensive attention due to the use of high-level descriptions of image content. This paper proposes a fault diagnosis model using a Gabor filter on segmented two-dimensional (2D) gray-level ...
Tuning the TCP congestion control parameters to optimize client-server systems
(© 2012 International Journal of Multimedia and Ubiquitous Engineering, 2012)
The demand of high volume data communication over the internet is mounting day by day. In general, the performance of a communication system depends on the loss of data packets. It happens as there are multiple paths exist ...
High performance computing for large graphs of internet applications using GPU
(© 2014 Science and Engineering Research Support Society, 2014)
The high speed CPU based routers currently in use could not handle the massive data required for real-time multimedia communication. Graphics processing units (GPUs) offer an appreciable alternative due to high computation ...
Reliable fault classification of induction motors using texture feature extraction and a multiclass support vector machine
(© 2014 Hindawi Publishing Corporation, 2014)
This paper proposes a method for the reliable fault detection and classification of induction motors using two-dimensional (2D) texture features and a multiclass support vector machine (MCSVM). The proposed model first ...