V. V. S. Vijaya Krishna^1,*, N. Pappa¹, S. P. Joy Vasantharani²

Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 781-794, 2022, DOI:10.32604/iasc.2022.022181

Abstract Industries use soft sensors for estimating output parameters that are difficult to measure on-line. These parameters can be determined by laboratory analysis which is an offline task. Now a days designing Soft sensors for complex nonlinear systems using deep learning training techniques has become popular, because of accuracy and robustness. There is a need to find pertinent hardware for realizing soft sensors to make it portable and can be used in the place of general purpose PC. This paper aims to propose a new strategy for realizing a soft sensor using deep neural networks (DNN) on appropriate hardware which can… More >

Praveenkumar Babu, Eswaran Parthasarathy^*

Intelligent Automation & Soft Computing, Vol.30, No.3, pp. 1063-1071, 2021, DOI:10.32604/iasc.2021.018903

Abstract Advancements in image and video processing are growing over the years for industrial robots, autonomous vehicles, indexing databases, surveillance, medical imaging and computer-human interaction applications. One of the major challenges in real-time image and video processing is the execution of complex functions and high computational tasks. In this paper, the hardware acceleration of different filter algorithms for both image and video processing is implemented on Xilinx Zynq^®-7000 System on-Chip (SoC) device. It consists of Dual-core Cortex^™-A9 processors which provide computing ability to perform I/O and processing functions and software libraries using Vivado^® High-Level Synthesis (HLS). In the proposed work, Sobel-Feldman… More >