Evaluation of health impacts arising from inhalation of pollutant particles <10 microm (PM(10)) is an active research area. However, lack of exposure data at high spatial resolution impedes identification of causal associations between exposure and illness. Biomagnetic monitoring of PM(10) deposited on tree leaves may provide a means of obtaining exposure data at high spatial resolution. To cal...

Augmented reality (AR) is a technology in which a user’s view of the real world is enhanced or augmented with additional information generated from a computer model. To have a working AR system, the see-through display system must be calibrated so that the graphics are properly rendered. The optical see-through systems present an additional challenge because, unlike the video see-through system...

High-field (≥ 3T) MRI provides a means to increase the signal-to-noise ratio, due to its higher tissue magnetization compared with 1.5T. However, both the static magnetic field (B(0)) and the transmit radio-frequency (RF) field (B 1+) inhomogeneities are comparatively higher at higher field strengths than those at 1.5T. These challenging factors at high-field strengths make it more difficult to...

Calibration of model is critical for hydrologic modeling of large watersheds in a mountain watershed. In this study Soil and Water Assessment Tool (SWAT) used to comparison a single-site calibration procedure that employed streamflow measurement at outlet of watershed to a multi-site calibration method that used streamflow measurements at three stations (Galinak, Joestan and Dehdar). Results sh...

Herein, the development and calibration of a macroscopic model for magneto-active elastomers based on data generated from computational homogenizations is presented. The advantage this strategy possibility to adjust independent any sample geometry. Using calibrated model, magnetostrictive magnetorheological effect samples are simulated within wide range magnetic fields.

A fast method to simultaneously calibrate multiple MEMS Magnetic Inertial Measurement Units (MIMUs) accurately in the field is needed many application areas. The MIMUs require calibration of systematic errors bias, sensitivity, non-orthogonality and misalignment, which vary with temperature use. Even after calibration, sensors undergo stochastic static dynamic conditions thus uncertainty output...