De-interleaving of Radar Pulses for EW Receivers with an ELINT Application by Aldossary, Mohammad

“…Before proposing the solution, on-line de-interleaving algorithms were surveyed. Density-based spatial clustering of applications with noise (DBSCAN) is a clustering algorithm that has not been used before in de-interleaving; in this dissertation, it has proved to be effective. …”
Get full text

An attitude control system for the deployment and stabilisation of a tethered dual CubeSat mission by Kearney, Mike-Alec

Get full text

Investigating the use of ray tracing for signal-level radar simulation in space monitoring applications: a comparison of radio propagation models by Martin, Mogamat Yaaseen

“…As such, this thesis proposes an open-source, ray-traced radar simulator that models the interactions between spaceborne targets and terrestrial radar systems. This utilises a ray-tracing algorithm to simulate the effects of debris size, shape, orientation, and material properties when computing radar signals in a typical simulation. …”
Get full text

An automated computer-assisted approximation of the nose in South Africans from CBCT (Cone Beam Computed Tomography) scans

Get full text

Analysis of RED packet loss performance in a simulated IP WAN

Get full text

Path planning for an unmanned terrestrial vehicle in an obstacle ridden environment by Ferreira, Thomas Ignatius

Get full text

Valuing American-style derivatives by simulation : alternative regression-based methods

Get full text

Detection and tracking of Mmoving objects using stereo vision cameras by Roelofse, Christiaan E.

Get full text

Transformerless series dip/sag compensation with a multilevel cascaded inverter by Visser, Abraham Johannes

Get full text

Parametric freeform-based construction site layout optimization by Abotaleb, Ibrahim

“…The developed model is capable of modeling any rectilinear and non-rectilinear site shapes, especially splines, since it utilizes a parametric modeling software. The model also has the ability to mimic the “dynamic” behavior of the objects’ shapes through the introduction and development of three different algorithms for dynamic shapes; where the geometrical shapes representing site facilities automatically modify their geometrical forms to fit in strict areas on site. …”
Get full text
Get full text

SdrLift: A Domain-Specific Intermediate Hardware Synthesis Framework for Prototyping Software-Defined Radios by Tsoeunyane, Lekhobola Joachim

“…In order to alleviate these problems, Domain-Specific Languages (DSL) have been introduced to capture algorithms at a high level of abstraction with more expressive power and providing domain-specific optimizations that factor in new transformations and the trade-off between resource utilization and system performance. …”
Get full text

Fast, realistic terrain synthesis by Crause, Justin

Get full text

Ant Colony Optimization approaches for the Sequential Ordering Problem by Ezzar, Ahmed Mohamed Alaa El-din

“…The second is also an extension of EACS, based on Jayadeva et al.'s (2013) EigenAnt algorithm. EigenAnt aims to avoid the problem of stagnation found in ACO algorithms by, among other unique properties, utilizing a selective rather than global pheromone evaporation model, and by discarding heuristics in the solution construction phase. …”
Get full text
Get full text

An initial solution heuristic for the vehicle routing and scheduling problem.

Get full text
Get full text

QoS-based power management techniques for uplink W-CDMA cellular systems

Get full text
Get full text

Malicious user attacks in decentralised cognitive radio networks

Get full text

Fault detection for the Benfield process using a closed-loop subspace re-identification approach

Get full text
Get full text

The analysis of distributed resources on a load sharing reticulation network

Get full text

Robust portfolio construction: using resampled efficiency in combination with covariance shrinkage by Combrink, James

“…The output is a set of 'optimal' investment weights, one per each share who's returns were fed into the algorithm. This thesis looks at identifying and removing avoidable risk through a statistical robustification of the algorithms and attempting to improve upon the 'optimal' weights provided by the algorithms. …”
Get full text

Design and optimization of an embedded machine learning image processing system with a Linux SOC for large-scale livestock tallying by Le Roux, Morne

Get full text