this paper presents the numerical analysis of seismic soil-pile-superstructure interaction in soft clay using free-field soil analysis and beam on winkler foundation approach. this model is developed to compute the nonlinear response of single piles under seismic loads, based on one-dimensional finite element formulation. the parameters of the proposed model are calibrated by fitting the experi...

[1] The optimal parameters and uncertainty estimation of land surface models require that appropriate length of forcing and calibration data be selected for computing error functions. Most of the previous studies used less than two years of data to optimize land surface models. In this study, 18-year hydrometeorological data at Valdai, Russia, were used to run the Chameleon Surface Model (CHASM...

In this paper we develop a tractable structural model with analytical default probabilities depending on some dynamics parameters, and we show how to calibrate the model using a chosen number of Credit Default Swap (CDS) market quotes. We essentially show how to use structural models with a calibration capability that is typical of the much more tractable credit-spread based intensity models. W...

Peer-grading is widely believed to be an inexpensive and scalable way to assess students in large classroom settings. In this paper, we propose calibrated self-grading as a more efficient alternative to peer grading. For self-grading, students assign themselves a grade that they think they deserve via an incentive-compatible mechanism that elicits maximally truthful judgements of performance. W...

The performance of DF-based beamformers is seriously degraded in situations where the array is imprecisely calibrated, or when the spatial coherence of the signal wavefronts is perturbed. When the calibration errors or perturbation may be characterized by a set of parameters drawn from a known Gaussian distribution , a maximum a posteriori (MAP) estimator may be used to separately estimate the ...

This paper concerns with aggregate calibration of urban travel demand model parameters from traffic counts. A bilevel sequential Non-linear Generalised Least Square Estimator (NGLS) has been proposed to calibrate a travel demand model. The first aim was to find out the effects of the required input data accuracy assumptions on the model calibration. The second aim was to show the possibility to...

T h e performance of DF-based beamformers is seriously degmded in situations where the array is imprecisely calibrated, or when the spatial coherence of the signal wavefronts is perturbed. W h e n the calibration errors or perturbation m a y be characterized by a set of parameters drawn f rom a known Gaussian distribut ion, a max imum a posteriori ( M A P ) estimator m a y be used to separately...

A geographic information system model designed to identify regions at risk for West Nile virus (WNV) transmission was calibrated and tested with data collected in Santa Clara County, California. American Crows that died from WNV infection in 2005 provided spatial and temporal ground truth. When the model was run with parameters based on Culex tarsalis infected with the NY99 genotype of the viru...

This paper presents a probabilistic algorithm to collaborate distributed sensors for mobile robot localization. It uses a sample-based version of Markov localization—Monte Carlo Localization (MCL), capable of localizing mobile robots in an any-time fashion. During robot localization given a known environment model, MCL method is employed to update robot’s belief whichever information (positive ...

Acquiring the initial value of all profile of the object is essential for the integration of metrical data. It is described a new smart approach to acquire the initial value of all profile of the object in this paper, which is only to compute the calibration parameters of CCD camera and the projector in every angle, but not to do the complicated coordinate conversion. In the origin position the...