Analog VLSI circuit models for smart flexible structures

1995 ◽  
Author(s):  
Aneil Shah ◽  
Layne Lenning ◽  
Umit Ozguner ◽  
Steven B. Bibyk
Keyword(s):  
Flexible Structures ◽  
Analog Vlsi ◽  
Vlsi Circuit

scholarly journals Fault modeling and parametric fault detection in analog VLSI circuits using discretization

2019 ◽  
Vol 9 (3) ◽  
pp. 1598
Author(s):  
Baldev Raj ◽  
G. M. Bhat ◽  
Sandeep Thakur
Keyword(s):  
Detailed Analysis ◽  
Mathematical Analysis ◽  
Tolerance Analysis ◽  
Analog Vlsi ◽  
Vlsi Circuits ◽  
Vlsi Circuit ◽  
Strong Base ◽  
Parametric Fault ◽  
Analog Vlsi Circuits

<p>In this article we describe new model for determination of fault in circuit and also we provide detailed analysis of tolerance of circuit, which is considered one of the important parameter while designing the circuit. We have done mathematical analysis to provide strong base for our model and also done simulation for the same. This article describes detailed analysis of parametric fault in analog VLSI circuit. The model is tested for different frequencies for compactness and its flexibility. The tolerance analysis is also done for this purpose. All the simulation are done in MATLAB software.</p>

A two-dimensional analog VLSI circuit for detecting discontinuities in early vision

Science ◽  
1990 ◽  
Vol 248 (4960) ◽  
pp. 1209-1211 ◽  
Author(s):  
J. Harris ◽  
C Koch ◽  
J Luo
Keyword(s):  
Analog Vlsi ◽  
Vlsi Circuit ◽  
Two Dimensional ◽  
Early Vision

Analog VLSI Circuit Implementation of an Adaptive Neuromorphic Olfaction Chip

2007 ◽  
Vol 54 (1) ◽  
pp. 60-73 ◽  
Author(s):  
Thomas Jacob Koickal ◽  
Alister Hamilton ◽  
Su Lim Tan ◽  
James A. Covington ◽  
Julian W. Gardner ◽  
...  
Keyword(s):  
Analog Vlsi ◽  
Vlsi Circuit ◽  
Circuit Implementation

Progress in high-resolution CRYO-SEM imaging of viral particles

1996 ◽  
Vol 54 ◽  
pp. 818-819
Author(s):  
Ya Chen ◽  
Geoffrey Letchworth ◽  
John White
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
High Resolution ◽  
Structural Information ◽  
Signal To Noise Ratio ◽  
Flexible Structures ◽  
Simian Virus ◽  
Topographic Features ◽  
Viral Particles ◽  
Scanning Electron

Low-temperature high-resolution scanning electron microscopy (cryo-HRSEM) has been successfully utilized to image biological macromolecular complexes at nanometer resolution. Recently, imaging of individual viral particles such as reovirus using cryo-HRSEM or simian virus (SIV) using HRSEM, HV-STEM and AFM have been reported. Although conventional electron microscopy (e.g., negative staining, replica, embedding and section), or cryo-TEM technique are widely used in studying of the architectures of viral particles, scanning electron microscopy presents two major advantages. First, secondary electron signal of SEM represents mostly surface topographic features. The topographic details of a biological assembly can be viewed directly and will not be obscured by signals from the opposite surface or from internal structures. Second, SEM may produce high contrast and signal-to-noise ratio images. As a result of this important feature, it is capable of visualizing not only individual virus particles, but also asymmetric or flexible structures. The 2-3 nm resolution obtained using high resolution cryo-SEM made it possible to provide useful surface structural information of macromolecule complexes within cells and tissues. In this study, cryo-HRSEM is utilized to visualize the distribution of glycoproteins of a herpesvirus.

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