1 error accumulation 2 3 Running head: A passive mechanism for movement drift 4 5 Authors: Brendan D. Cameron, Cristina de la Malla, and Joan López6 Moliner 7 8 Affiliations: 9 a. Vision and Control of Action Group, Departament de Psicologia Bàsica, 10 Universitat de Barcelona, Passeig de la Vall d’Hebron, 171, 08035, Barcelona, 11 Catalonia, Spain 12 13 b. Institute for Brain, Cognition, and B...

We process a bathymetry survey from the Sea of Galilee. This data set is contaminated with non-Gaussian noise in the form of spikes inside the lake and at the track ends. There is drift on the depth measurements leading to vessel tracks in the preliminary depth images. The drift comes from different seasonal and human conditions during data acquisition, e.g., wind and water levels. We derive an...

For many tasks where data is collected over an extended period of time, its underlying distribution is likely to change. A typical example is information filtering, i.e. the adaptive classification of documents with respect to a particular user interest. The interest of the user may change over time. Machine learning approaches handling concept drift have been shown to outperform more static ap...

The incident angle of ground motion is one of the sources of uncertainty in the seismic response of buildings. Moreover, understanding the structural response to the impose ground motion may cause significant changes in the maximum response of buildings. In order to investigate the effect of the spatial distribution of orthogonal components of earthquake strong motion on the structural response...

Concept drift, change in the underlying distribution that data points come from, is an inevitable phenomenon in data streams. Due to increase in the number of data streams’ applications such as network intrusion detection, weather forecasting, and detection of unconventional behavior in financial transactions; numerous researches have recently been conducted in the area of concept drift detecti...

An error model for a solid-state gyroscope developed in previous work is included in a Kalman filter for improving the orientation estimate of a mobile robot. Orientation measurement with the error model is compared to the performance when no error model is incorporated in the system. The results demonstrate that without error compensation, the error in localization is between 5-15"/min but can...

This paper introduces a new approach for complete drift modeling and compensation for Scanning Probe Microscopes (SPMs) as conventional nanorobots. Although, before this, drift was described as remained error after hysteresis and creep compensation, it can seriously a ect SPM performance. Since experimental work accentuated that thermal strain has a dominant contribution, the present model incl...

Abstract. This paper focuses on two variants of the Milstein scheme, namely the split-step backward Milstein method and a newly proposed projected Milstein scheme, applied to stochastic differential equations which satisfy a global monotonicity condition. In particular, our assumptions include equations with super-linearly growing drift and diffusion coefficient functions and we show that both ...