Intolerance of uncertainty (IU) is increasingly conceptualized as a transdiagnostic factor underlying anxiety disorders and depression. Current understanding of the relationship between intolerance of uncertainty and specific obsessive compulsive symptom domains remains limited. The purpose of the present study was to explore the prevalence of obsessive compulsive beliefs and intolerance of unc...

In spite of advanced modelling capabilities, hydrologic and water quality data remain vital for scientific assessment, management, decision-making, and modelling. Although uncertainty in measured data affects all of these applications, measurement uncertainty is typically ignored in monitoring projects. To change this, we published an uncertainty estimation framework for measured discharge and ...

Estimation of uncertainty in odour measurement is essential to the interpretation of the measurement results. The fundamental procedure for the estimation of measurement uncertainty comprises the specification of the measurement process, expression of the measurement model and all influences, evaluation of the standard uncertainty of each component, calculation of the combined standard uncertai...

intolerance of uncertainty (iu) is increasingly conceptualized as a transdiagnostic factor underlying anxiety disorders and depression. current understanding of the relationship between intolerance of uncertainty and specific obsessive compulsive symptom domains remains limited. the purpose of the present study was to explore the prevalence of obsessive compulsive beliefs and intolerance of unc...

Accurate software cost and schedule estimation are essential for software project success. Often it referred to as the “black art” because of its complexity and uncertainty, software estimation is not as difficult or puzzling as people think. In fact, generating accurate estimates is straightforward—once you understand the intensity of uncertainty and framework for the modeling process. The mys...

This paper presents a discrete-time robust control for electrically driven robot manipulators in the task space. A novel discrete-time model-free control law is proposed by employing an adaptive fuzzy estimator for the compensation of the uncertainty including model uncertainty, external disturbances and discretization error. Parameters of the fuzzy estimator are adapted to minimize the estimat...

Attitude estimation is often a prerequisite for control of the attitude or orientation of mechanical systems. Current attitude estimation algorithms use coordinate representations for the group of rigid body orientations. All coordinate representations of the group of orientations have associated problems. While minimal coordinate representations exhibit kinematic singularities for large rotati...

An adaptive online flux-linkage estimation method for the sensorless control of switched reluctance motor (SRM) drive is presented in this paper. Sensorless operation is achieved through a binary observer based algorithm. In order to avoid using the look up tables of motor characteristics, which makes the system, depends on motor parameters, an adaptive identification algorithm is used to estim...