Acceleration of the Smith-Waterman algorithm for DNA sequence alignment using an FPGA platform

With the sequencing of DNA becoming cheaper and the resulting stack of data growing bigger, there is a big challenge for both engineer and biologist. Researchers are limited by their computational power. In this thesis, first an overview of sequence alignment algorithms will be given. Then a method to store the values of the similarity score...

Continuous Impedance, Force, and Acceleration Monitoring for Motion Artefact Reduction in EEG

Electroencephalograph (EEG) is used in various applications such as diagnosing patients suffering from epilepsy or seizures. Motion artefact is the noise recorded together with the desired biopotential signals. It is mainly introduced by the relative motion between the measurement electrode and the human scalp. Dry electrodes are preferred in...

Longitudinal Driving Behavior under Adverse Conditions: A Close Look at Psycho-spacing Models

Adverse weather conditions have been shown to have a substantial impact on traffic flow operations following substantial adaptation effects in driving behavior. In quantifying these effects psycho-spacing models may be used. In this contribution it was examined to what extend adverse weather conditions influence the position of action points in...

Traffic Accelerator

Model that generates an optimized urban infratructure and morphology to accomodate accelerating traffic

Using a drinking water treatment simulator for operator training: Accelerating the simulated process leads to an increase in learning

The drinking water treatment industry is becoming increasingly centralized and automated. This requires a different operator training approach then the traditional on the job training. To address this requirement a drinking water treatment plant simulator was developed. A major advantage of such a simulator might be that the normally very slow...

Convergence Acceleration for the Three Dimensional Compressible Navier-Stokes Equations

We consider a multistage algorithm to advance in pseudo-time to find a steady state solution for the compressible Navier-Stokes equations. The rate of convergence to the steady state is improved by using an implicit preconditioner to approximate the numerical scheme. This properly addresses the stiffness in the discrete equations associated with...

Random Taylor hypothesis and the behavior of local and convective accelerations in isotropic turbulence

The properties of acceleration fluctuations in isotropic turbulence are studied in direct numerical simulations (DNS) by decomposing the acceleration as the sum of local and convective contributions (aL = ?u/?t and aC = u??u), or alternatively as the sum of irrotational and solenoidal contributions [aI = ??(p/?) and aS = ??2u]. The main emphasis...