The navigation of pedestrians based on inertial sensors, i.e., accelerometers and gyroscopes, has experienced a great growth over the last years. However, the noise of medium- and low-cost sensors causes a high error in the orientation estimation, particularly in the yaw angle. This error, called drift, is due to the bias of the z-axis gyroscope and other slow changing errors, such as temperatu...

In this paper, we propose a time-of-arrival (TOA) estimation scheme using impulse-radio ultra-wideband (IR-UWB). This scheme is featured by a low sampling rate and is robust against clock drift. Low-rate stroboscopic sampling, which can achieve an equivalent sampling rate as high as the Nyquist sampling rate, is adopted to achieve a high resolution TOA estimate by IR-UWB. Since a long preamble ...

There is a considerable interest in using response-adaptive randomisation in clinical trials. Several reasons motivate this. First, they improve individual patient response in clinical trials by increasing the allocation to a best performing treatment (if it exists). Skewing its allocation probability as data accumulates. Second, in multi-armed trials, by protecting the allocation to the contro...

Precast prestreesed concrete braces are a new method for seismic strength of Concrete Structures which has the following benefits: a) no wet concrete work in construction site b) No bolt or anchorage to the existing frame c) easy to apply d) short construction period e) low construction cost, to evaluate seismic performance of strengthened structure a model consist of existing frame and concret...

We study the weak approximation error of a skew diffusion with bounded measurable drift and Hölder diffusion coefficient by an Euler-type scheme, which consists of iteratively simulating skew Brownian motions with constant drift. We first establish two sided Gaussian bounds for the density of this approximation scheme. Then, a bound for the difference between the densities of the skew diffusion...

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...

Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem of learning when the class-probability distribution that generate the examples changes over time. We present a method for detection of changes in the probability distribution of examples. A central idea is the concept of conte...

For quantitative study of the sort of random drift due to inbreeding it is de sirable to experiment with segregating genotypes that can be classified without risk of error and with populations that are all of a very small definitely known size. With respect to the first condition, it is much the most satisfactory if all segregat ing genotypes can be distinguished ac curately. This, however, lim...