5 results match your criteria: "Veer Surendra Sai University of Technology (VSSUT)[Affiliation]"

Article Synopsis
  • The paper introduces a new hybrid feature detection method aimed at improving Feature-Based Image Registration (FBIR).
  • It evaluates this method against popular detectors like BRISK, FAST, ORB, and others, showing better accuracy and efficiency in detecting keypoints.
  • The hybrid approach has proven effective in matching points and rates across various remote-sensing images, especially in challenging conditions typical of satellite and aerial imagery.
View Article and Find Full Text PDF

Noisy iris smoothing and segmentation scheme based on improved Wildes method.

Multidimens Syst Signal Process

September 2022

Department of Computer Application, Veer Surendra Sai University of Technology (VSSUT), Burla, Sambalpur, Odisha 768018 India.

In an automated iris recognition system, in order to get higher accuracy, we should have an efficient iris segmentation process. The reliability of accurate "iris recognition" system largely depends on the accuracy of segmentation process. Traditional "iris segmentation" methods are unable to detect the exact boundaries of iris and pupil, which is time consuming and also highly sensitive to noise.

View Article and Find Full Text PDF

The surge of the novel COVID-19 caused a tremendous effect on the health and life of the people resulting in more than 4.4 million confirmed cases in 213 countries of the world as of May 14, 2020. In India, the number of cases is constantly increasing since the first case reported on January 30, 2020, resulting in a total of 81,997 cases including 2649 deaths as of May 14, 2020.

View Article and Find Full Text PDF

The World Health Organization (WHO) declared novel coronavirus 2019 (COVID-19), an infectious epidemic caused by SARS-CoV-2, as Pandemic in March 2020. It has affected more than 40 million people in 216 countries. Almost in all the affected countries, the number of infected and deceased patients has been enhancing at a distressing rate.

View Article and Find Full Text PDF

In this paper, a novel Tilt Integral Derivative controller with Filter (TIDF) is proposed for Load Frequency Control (LFC) of multi-area power systems. Initially, a two-area power system is considered and the parameters of the TIDF controller are optimized using Differential Evolution (DE) algorithm employing an Integral of Time multiplied Absolute Error (ITAE) criterion. The superiority of the proposed approach is demonstrated by comparing the results with some recently published heuristic approaches such as Firefly Algorithm (FA), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) optimized PID controllers for the same interconnected power system.

View Article and Find Full Text PDF