In embedded system, a real-time operating system (RTOs) is often used to structure the application code and ensure that the deadlines are met by reacting on events in the environment by executing the functions within precise ...

Floating-point arithmetic has various applications in the field of Science and Engineering. Specially, need of high precision floating-point multipliers is observed in Digital Signal Processing- like in filtering and ...

A complete Full Search Motion Estimation Video system that can be adopted and integrated into H.264/AVC and H.265/HEVC standards. The proposed system reduces the computational complexity as well as hardware complexity. The ...

In this paper, we present the design and implementation of two hardware architectures, namely MHL-ANN and SHL-ANN, for the realization of artificial neural networks on reconfigurable computing platforms like FPGA. We use ...

Image quality and size have been growing very fast over the last decades requiring large storage space and high transmission rate. Image compression is an efficient method used to reduce the size of the image. JPEG algorithm ...

Convolutional neural network is now widely used in computer vision and deep learning applications. The most compute-intensive layer in convolutional neural networks is the convolutional layer, which should be accelerated ...

This special issue of International Journal of Computing and Digital Systems (IJCDS) focuses on Design and Performance of Networks on Chip, and publishes selected papers from the 2nd International Workshop on Design and ...

The modular exponentiation operation used in popular public key encryption schemes, such as RSA, has been the focus of many side channel analysis (SCA) attacks in recent years. Current SCA attack countermeasures are static, ...