PROJECT TITLE :

Correction of Single Event Latchup Rate Prediction Using Pulsed Laser Mapping Test

ABSTRACT:

Most classical approaches of single event impact rate prediction are primarily based on the oblong parallelepiped model of sensitive volume. However it's not clear concerning the number of sensitive volume within the device when predicting the in-flight single event latchup rate. As for memory device, there are two empirical practices to house the latchup sensitive volume range: one assumes that there's only one sensitive volume in the entire device; another assumes that there are as much sensitive volumes as the amount of memory cells. The latchup sensitive volume variety of a 4M-bits SRAM is determined as 63360 using pulsed laser mapping test in this work first. Based mostly on the 2 assumed and measured sensitive volume number, the one event latchup rates of the device are calculated and compared. The results show that pulsed laser may be a robust tool to get the important sensitive volume variety within the device, that is significant for single event latchup rate prediction. The latchup rate will be either overestimated or underestimated with the belief of the sensitive volume number collectively or as much as the quantity of memory cells.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Stat-DSM: Statistically Discriminative Sub-Trajectory Mining With Multiple Testing Correction ABSTRACT: We propose a novel statistical approach, which we call Statistically Discriminative Sub-trajectory Mining
PROJECT TITLE : IDGCP Image Dehazing Based on Gamma Correction Prior ABSTRACT: Our approach of image dehazing, referred to as IDGCP, is made possible by the use of an innovative and effective image prior, referred to as gamma
PROJECT TITLE : mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning- Based Classification ABSTRACT: To generate synthetic CT images
PROJECT TITLE : Power Factor Correction based Hybrid Resonance PWM fed BLDC Drive ABSTRACT: This study proposes, analyses, and tests a power factor correction (PFC) based Hybrid Resonance Pulse Width Modulation (HRPWM) fed
PROJECT TITLE :Reversion Correction and Regularized Random Walk Ranking for Saliency Detection - 2018ABSTRACT:In recent saliency detection research, several graph-based mostly algorithms have applied boundary priors as background

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry