Jones [1] recently presented a novel calibration procedure that uses a linearized model of the projection of the height of a person to recover the image-plane to local-ground-plane transformation with minimum expert intervention. In this paper we present an addition to the work of Jones [1], by further reducing the measurements needed to be made manually to define the image-plane to ground-plan...

We present a new method of rapidly determining the local critical current density (Jc) in large superconducting pellets without destroying the sample. We show that magnetoscan data averaged over a certain small sample area can be mapped directly onto absolute values of Jc. This conclusion and the corresponding calibration curve are based on results from magnetoscan and from SQUID measurements o...

We regard the simple linear calibration problem where only the response y of the regression line y = 0 + 1 t is observed with errors. The experimental conditions t are observed without error. For the errors of the observations y we assume that there may be some gross errors providing outlying observations. This situation can be modeled by a conditionally contaminated regression model. In this m...

UNLABELLED This study investigated the feasibility of quantitative accuracy and harmonized image quality in (89)Zr-PET/CT multicenter studies. METHODS Five PET/CT scanners from 3 vendors were included. (89)Zr activity was measured in a central dose calibrator before delivery. Local activity assays were based on volume as well as on the local dose calibrator. Accuracy and image noise were dete...

Local volatilities in multi-asset models typically have no cross-asset dependency. In this talk, we propose a general framework for pricing and hedging derivatives in cross-dependent volatility (CDV) models, i.e., multi-asset models in which the volatility of each asset is a function of not only its current or past levels, but also those of the other assets. For instance, CDV models can capture...

Several U.S. Nuclear Power Plants are attempting to move from a periodic sensor calibration schedule to a condition-based schedule using on-line calibration monitoring systems. This move requires a license amendment that must address the requirements set forth in a recently released Nuclear Regulatory Commission Safety Evaluation Report (SER). The major issue addressed in the SER is that of a c...

Implied volatility expansions allow calibration of sophisticated volatility models. They provide an accurate fit and parametrization of implied volatility surfaces that is consistent with empirical observations. Fine-grained higher order expansions offer a better fit but pose the challenge of finding a robust, stable and computationally tractable calibration procedure due to a large number of m...

Imaging fiber bundles can map the curved image surface formed by some high-performance lenses onto flat focal plane detectors. The relative alignment between the focal plane array pixels and the quasi-periodic fiber-bundle cores can impose an undesirable space variant moiré pattern, but this effect may be greatly reduced by flat-field calibration, provided that the local responsivity is known. ...

In this thesis, I propose a robust and easy to implement method to calibrate an IMU without any external equipment. The procedure is based on a multi-position scheme, providing scale and misalignments factors for both the accelerometers and gyroscopes triads, while estimating the sensor biases. The method only requires the sensor to be moved by hand and placed in a set of different, static posi...

Traffic models require calibration to provide an adequate representation of the actual field conditions. This study presents the adaptation of a memetic algorithm (MA-SW-Chains) based on Solis and Wets local search chains, for the calibration of microscopic traffic flow simulation models. The effectiveness of the proposed MA-SW-Chains approach was tested using two vehicular traffic flow models ...