This paper presents a prototype system for pedestrian detection on-board a moving vehicle. The system uses a generic two-step approach for efficient object detection. In the first step, contour features are used in a hierarchical template matching approach to efficiently ”lock” onto candidate solutions. Shape matching is based on Distance Transforms. By capturing the objects shape variability b...

The quantum Fourier transform (QFT), a quantum analog of the classical Fourier transform, has been shown to be a powerful tool in developing quantum algorithms. However, in classical computing there is another class of unitary transforms, the wavelet transforms, which are every bit as useful as the Fourier transform. Wavelet transforms are used to expose the multi-scale structure of a signal an...

in this paper, we present an efficient method for determining the solution of the stochastic second kind volterra integral equations (svie) by using the taylor expansion method. this method transforms the svie to a linear stochastic ordinary differential equation which needs specified boundary conditions. for determining boundary conditions, we use the integration technique. this technique give...

In this paper, we introduce an efficient Legendre-Gauss collocation method for solving nonlinear delay differential equations with variable delay. We analyze the convergence of the single-step and multi-domain versions of the proposed method, and show that the scheme enjoys high order accuracy and can be implemented in a stable and efficient manner. We also make numerical comparison with other ...

This paper proposes an efficient method to learn from multi source data with an Inductive Logic Programming method. The method is based on two steps. The first one consists in learning rules independently from each source. In the second step the learned rules are used to bias a new learning process from the aggregated data. We validate this method on cardiac data obtained from electrocardiogram...

The fractional step method is a technique that results in a computationally-efficient implementation of Navier–Stokes solvers. In the finite element-based models, it is often applied in conjunction with implicit time integration schemes. On the other hand, in the framework of finite difference and finite volume methods, the fractional step method had been successfully applied to obtain predicto...

Series of measurements should be planned carefully in order to reduce the costs and to allow an efficient execution at measuring devices. For this planning process, we present a multi-step optimization method using genetic algorithms. As a concrete application, we arrange a set of Design of Experiment measuring points appearing during the calibration of combustion engines in an optimal way. Key...

background: fetal heart rate (fhr) extracted from abdominal electrocardiogram (ecg) is a powerful non-invasive method in appropriately assessing the fetus well-being during pregnancy. despite significant advances in the field of electrocardiography, the analysis of fetal ecg (fecg) signal is considered a challenging issue which is mainly due to low signal to noise ratio (snr) of fecg. objective...