Much research has been spent in the last three decades in developing more effective and efficient automatic calibration procedures and in demonstrating their applicability to hydrological problems. Several problems have emerged when applying these procedures to calibration of conceptual rainfall–runoff and groundwater (GW) models, such as computational time, large number of calibration paramete...

Camera calibration is a crucial prerequisite for the retrieval of metric information from images. The problem of camera calibration is the computation of camera intrinsic parameters (i.e., coefficients of geometric distortions, principle distance and principle point) and extrinsic parameters (i.e., 3D spatial orientations: ω, ϕ, κ, and 3D spatial translations: t(x), t(y), t(z)). The intrinsic c...

There is a growing recognition that discrete choice models are capable of providing a more realistic picture of route choice behavior. In particular, influential factors other than travel time that are found to affect the choice of route trigger the application of random utility models in the route choice literature. This paper focuses on path-based, logit-type stochastic route choice models, i...

In the application of microscopic simulation models, the importance of model calibration and validation cannot be overemphasized. A recent study proposed a systematic approach of conducting simulation model calibration and validation procedure on the basis of experimental design and optimization, and applied it to an isolated intersection using a VISSIM simulation model. This study further eval...

An accurate calibration of inertial measurement unit errors is increasingly important as the inertial navigation system requirements become more stringent. Developing calibration methods that use as less as possible of IMU signals has 6-DOF gimballed IMU in space-stabilized mode is presented. It is considered as held stationary in the test location incorporating 15 di...

Metrical calibration is very critical for the accuracy of a 3d sensor. Measuring uncertainty of about 1:3000 of the z-range requires a calibration accuracy of about 1:10. Several model-based approaches for this problem exist. In this article the calibration task for a phase measuring triangulation sensor is described. After a short description of the geometrical distortions that are compensated...

a mathematical model was developed to predict the effects of wind speed, light, ph, temperature, dissolved carbon dioxide and chemical oxygen demand (cod) on dissolved oxygen (do) in fish ponds. the effects of organic feeds, aeration and fish activity were added to the model developed by kayombo et al. for waste stabilization ponds (ecological modeling 127(2000): 21-31) to reflect the situat...

This thesis mainly deals with large scale objects of height around 1.5 meters. It uses a dynamic stereo model or a binocular stereo model to calibrate and reconstruct a 3D large scale object. This thesis briefly introduces two basic calibration techniques, i.e. DLT calibration technique and Tsai’s calibration technique. It then discusses and evaluates the impact of different factors on the cali...

Bayesian Model Calibration is used to revisit the problem of scaling factor calibration for semi-empirical correction of ab initio calculations. A particular attention is devoted to uncertainty evaluation for scaling factors, and to their effect on prediction of observables involving scaled properties. We argue that linear models used for calibration of scaling factors are generally not statist...

introduction: to date, many prognostic models have been proposed to predict the outcome of patients with traumatic brain injuries. external validation of these models in different populations is of great importance for their generalization. the present study was designed, aiming to determine the value of crash prognostic model in prediction of 14-day mortality (14-dm) and 6-month unfavorable ou...