Search published articles


Showing 2 results for Dynamic Threshold

M. Ashraf,
Volume 14, Issue 2 (6-2018)
Abstract

This work studies the effects of dynamic threshold design techniques on the speed and power of digital circuits. A new dynamic threshold transistor structure has been proposed to improve performances of digital circuits. The proposed switched-capacitor dynamic threshold PMOS (SC-DTPMOS) scheme employs a capacitor along with an NMOS switch in order to effectively reduce the threshold voltage of a PMOS transistor. The proposed structure improves the propagation delay of a circuit and is much suitable for those circuits with high switching factor. Post layout simulation results using TSMC 180 nm CMOS technology at 0.2V supply voltage shows 45% improvement in delay as well as 25% less power consumption at the cost of only 53% more occupied area.

Ch Suryababu, B Vijaya, Phd Arempula Sreenivasa Rao, G Sattibabu, R Rambabu, K Ravi Kumar,
Volume 22, Issue 0 (3-2026)
Abstract

Diagnostic image fusion across multiple modalities integrates diverse images, making it a crucial tool for improved diagnosis. To achieve the best fusion outcomes between MRI and PET brain images, the study presents an enhanced image fusion strategy that combines Spiking Neural P Systems with Non-subsampled Shearlet Transform (NSST). The proposed system first decomposes images into low-frequency and high-frequency regions by applying NSST and employs dynamic threshold neural P (DTNP) systems for high-frequency fusion and Coupled Neural P (CNP) systems for low-frequency fusion. Through practical testing of 48 pairs of PET and MRI related to various disorders of the brain, it is demonstrated that the suggested strategy outperforms seven popular fusion techniques, such as neuro-fuzzy and CNN-based models. It provides an Improvement in Structural Similarity Index (SSIM) and entropy by 23.8%, 17.6% respectively, compared to existing methods. Our approach helps medical practitioners make better decisions by producing precise observations about brain tumors, neurodegenerative disorders, and Alzheimer's disease. This contemporary fusion technique enhances the clinical interpretation and noticeable quality of fused images, leading to improved medical imaging capabilities.

Page 1 from 1     

Creative Commons License
© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.