This paper pertains to the reduction of measurement errors due to drift in rate gyros used for tracking the position of moving vehicles. In these applications, gyros and odometry are often used to augment GPS when GPS reception is unavailable. Drift in gyros causes the unbounded growth of errors in the estimation of heading, rendering low-cost gyros almost entirely useless in applications that ...

This paper pertains to the reduction of measurement errors due to drift in rate gyros used for tracking the position of moving vehicles. In these applications, gyros and odometry are often used to augment GPS when GPS reception is unavailable. Drift in gyros causes the unbounded growth of errors in the estimation of heading, rendering lowcost gyros almost entirely useless in applications that r...

Detecting concept drift in data streams has been widely studied in the data mining community. Conventional drift detection methods use classifiers’ outputs (e.g., classification accuracy, error rate) as indicators to signal concept changes. As a result, their performance greatly depends on the chosen classifiers. However, there is little work on addressing concept drift in graph-structured data...

We propose an optimal convergence function for achieving fault-tolerant, internal clock synchroniza, tion in the presence of arbitrary process and clock failures. The diflerential fault-tolerant midpoint convergence function guarantees an optimal maximum correction, an optimal maximum drift rate, and an optimal maximum deviation. The proposed convergence function is simple and easy to compute. ...

This paper describes alternative approaches to estimate the Value at Risk (VaR) of a position. Four methods are compared: the unconditional case, the model with time varying drift (modeled as an AR(l) process), the model with time varying drift and time varying volatility (modeled as a GARCH(I,l) process) with error terms that are normally distributed, and the model with time varying drift and ...

The global estimation problem of the drift function is considered for a large class of ergodic diffusion processes. The unknown drift S(·) is supposed to belong to a nonparametric class of smooth functions of order k ≥ 1, but the value of k is not known to the statistician. A fully data-driven procedure of estimating the drift function is proposed, using the estimated risk minimization method. ...

A previously published magnetohydrodynamical MHD model of error-field penetration in tokamak plasmas is extended to take drift-MHD physics into account. In particular, diamagnetic and semicollisional effects are both fully incorporated into the analysis. The new model is used to examine the scaling of the penetration threshold in ohmic tokamak plasmas. © 2006 American Institute of Physics. DOI:...

introduction: wind erosion is one of the most important factors in desert environments. prevailing winds can shift sand dunes and affect their accumulation and morphology. also, wind regime determines the direction of sand dune mobility in different ways. therefore, the wind regime, frequency, direction and velocity are supposed to be the most important factors to form the morphology of sand du...

The authors have recently developed a number of instruments for measuring harmonic composition of power grid signals. These instruments have a simple, predominantly digital architecture and they are based on an assumption that the frequency of the measured signals equals its nominal value (50 Hz, 60 Hz or 400 Hz). This approach has enabled the measurement of a high number of harmonics within a ...