Search results for "reliability"

Translating, Reliability Testing, and Validating a Norwegian Questionnaire to Assess Adolescents’ Intentions to be Physically Active After High Schoo…

2015

This is a scholarly, peer-reviewed article originally published in Sage Open under the terms of the Creative Commons Attribution 3.0 License (CC BY 3.0). You can access the article by following this link: http://dx.doi.org/10.1177/2158244015580374 Dette er en vitenskapelig, fagfellevurdert artikkel som opprinnelig ble publisert i Sage Open under betingelsene til lisensen Creative Commons Attribution 3.0 (CC BY 3.0). Du får tilgang til artikkelen via Sage Open ved å følge denne lenken: http://dx.doi.org/10.1177/2158244015580374 This study aimed to test the reliability and validity of a Norwegian measure of adolescents’ intentions to be physically active after graduation (the Intention to be …

Spanning Trees and bootstrap reliability estimation in correlation based networks

2007

We introduce a new technique to associate a spanning tree to the average linkage cluster analysis. We term this tree as the Average Linkage Minimum Spanning Tree. We also introduce a technique to associate a value of reliability to links of correlation based graphs by using bootstrap replicas of data. Both techniques are applied to the portfolio of the 300 most capitalized stocks traded at New York Stock Exchange during the time period 2001-2003. We show that the Average Linkage Minimum Spanning Tree recognizes economic sectors and sub-sectors as communities in the network slightly better than the Minimum Spanning Tree does. We also show that the average reliability of links in the Minimum …

Fingerprint classification based on deep learning approaches: Experimental findings and comparisons

2021

Biometric classification plays a key role in fingerprint characterization, especially in the identification process. In fact, reducing the number of comparisons in biometric recognition systems is essential when dealing with large-scale databases. The classification of fingerprints aims to achieve this target by splitting fingerprints into different categories. The general approach of fingerprint classification requires pre-processing techniques that are usually computationally expensive. Deep Learning is emerging as the leading field that has been successfully applied to many areas, such as image processing. This work shows the performance of pre-trained Convolutional Neural Networks (CNNs…

Neutron-induced soft errors in advanced Flash memories

2008

Atmospheric neutrons are a known source of Soft Errors (SE), in static and dynamic CMOS memories. This paper shows for the first time that atmospheric neutrons are able to induce SE in Flash memories as well. Detailed experimental results provide an explanation linking the Floating Gate (FG) cell SE rate to the physics of the neutron-matter interaction. The neutron sensitivity is expected to increase with the number of bits per cell and the reduction of the feature size, but the SE issue is within the limit of current ECC capabilities and will remain so in the foreseeable future.

Measuring charge based quantum bits by a superconducting single-electron transistor

2002

Single-electron transistors have been proposed to be used as a read-out device for Cooper pair charge qubits. Here we show that a coupled superconducting transistor at a threshold voltage is much more effective in measuring the state of a qubit than a normal-metal transistor at the same voltage range. The effect of the superconducting gap is to completely block the current through the transistor when the qubit is in the logical state 1, compared to the mere diminishment of the current in the normal-metal case. The time evolution of the system is solved when the measuring device is driven out of equilibrium and the setting is analysed numerically for parameters accessible by lithographic alu…

Taming conformational heterogeneity in and with vibrational circular dichroism spectroscopy

2019

Chemical science 10, 7680 -7689 (2019). doi:10.1039/C9SC02866H

Arrays of Josephson junctions in an environment with vanishing impedance

1999

The Hamiltonian operator for an unbiased array of Josephson junctions with gate voltages is constructed when only Cooper pair tunnelling and charging effects are taken into account. The supercurrent through the system and the pumped current induced by changing the gate voltages periodically are discussed with an emphasis on the inaccuracies in the Cooper pair pumping. Renormalisation of the Hamiltonian operator is used in order to reliably parametrise the effects due to inhomogeneity in the array and non-ideal gating sequences. The relatively simple model yields an explicit, testable prediction based on three experimentally motivated and determinable parameters.

Geometric quantum computation with Josephson qubits

2001

The quest for large scale integrability and flexibility has stimulated an increasing interest in designing quantum computing devices. A proposal based on small-capacitance Josephson junctions in the charge regime in which quantum gates are implemented by means of adiabatic geometric phases was discussed. The proposed works, are in the charge regime where the qubit is realized by two nearly degenerate charge states of a single electron box.

Special Section on Fractional Operators in the Analysis of Mechanical Systems Under Stochastic Agencies

2017

Approximate analytical mean-square response of an impacting stochastic system oscillator with fractional damping

2017

The paper deals with the stochastic dynamics of a vibroimpact single-degree-of-freedom system under a Gaussian white noise. The system is assumed to have a hard type impact against a one-sided motionless barrier, located at the system's equilibrium. The system is endowed with a fractional derivative element. An analytical expression for the system's mean squared response amplitude is presented and compared with the results of numerical simulations.