INVERSE FILTERING FOR FREQUENCY IDENTIFICATION OF BRIDGES USING SMARTPHONES IN PASSING VEHICLES: FUNDAMENTAL DEVELOPMENTS AND LABORATORY VERIFICATIONS

Inverse Filtering for Frequency Identification of Bridges Using Smartphones in Passing Vehicles: Fundamental Developments and Laboratory Verifications

This paper puts forward a novel methodology of employing inverse filtering technique to extract bridge features from acceleration signals recorded on passing vehicles using smartphones.Since the vibration of a vehicle moving on a bridge will be affected by various features related ultrastar dc hc550 to the vehicle, such as suspension and speed, thi

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CNEr: A toolkit for exploring extreme noncoding conservation.

Conserved Noncoding Elements (CNEs) are elements exhibiting extreme noncoding conservation in Metazoan genomes.They cluster around developmental genes and act as long-range enhancers, yet nothing that we know about their function explains the observed conservation levels.Clusters of CNEs coincide with topologically hubbell 5362w associating domains

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Bayesian neural networks for fast SUSY predictions

One of the goals of current particle physics research is to obtain evidence for new physics, that is, physics beyond the Standard Model (BSM), at accelerators such as the Large Hadron Collider (LHC) at CERN.The searches for new physics are often guided by BSM theories that depend on many unknown parameters, which, in some cases, makes testing their

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