Thesis (M.Sc.)(Bioinformatics)--University of Pretoria, 2006. / Includes summary. Includes bibliographical references. Available on the Internet via the World Wide Web.

Thesis (M.B.A.)--Boston University

Thesis (M.Diploma in Technology)--Cape Technikon, Cape Town, 1993 / This thesis describes the design, development and implementation of an intelligent printer sharer, capable of servicing ten personal computers and two printers.

The traditional method of implementing SRAM in CMOS is via a six-transistor cell and five routing lines. If the number of transistors and the number of wires could be reduced, the packing density of the memory cells could be increased, and the area reduced. This document describes the design of an SRAM system based on a new four¬transistor SRAM cell. The primary design goal was to create a functional system, so that the relationship between reduced cell area and a potentially reduced system area could be investigated. A new write method and associated array structure has been used, and the design of the system parameters was accomplished using static noise margin theory. The power dissipation and percentage reduction in cell area have been improved over previous designs. The circuits to achieve the access to the cell have been designed and simulated. These include low-impedance driver circuits, that allow the power supply of the cell's devices to be individually modified to read and write the cell, and a current sense amplifier system to convert the output current to a digital voltage. These circuits allow complete and accurate control to be achieved, but a price is paid for the complexity in terms of layout area. The SRAM system emulates a standard SRAM, and could therefore be used to replace current SRAM implementations. The design was simulated on a system level, and found to operate correctly. Although it is outperformed by its six-transistor cell counterpart in terms of power dissipation, speed and layout area, the groundwork for defining further research and improving the characteristics of further designs has been laid. / Dissertation (MEng (Electronic Engineering))--University of Pretoria, 2002. / Electrical, Electronic and Computer Engineering / unrestricted

Data processing is generally defined as the collection and transformation of data to extract meaningful information. Data processing involves a multitude of processes such as validation, sorting summarization, aggregation to name a few. Many analytics engines exit today for largescale data processing, namely Apache Spark, Apache Flink and Apache Beam. Each one of these engines have their own advantages and drawbacks. In this thesis report, we used all three of these engines to process data from the Carbon Monoxide Daily Summary Dataset to determine the emission levels per area and unit of time. Then, we compared the performance of these 3 engines using different metrics. The results showed that Apache Beam, while offered greater convenience when writing programs, was slower than Apache Flink and Apache Spark. Spark Runner in Beam was the fastest runner and Apache Spark was the fastest data processing framework overall. / Databehandling definieras generellt som insamling och omvandling av data för att extrahera meningsfull information. Databehandling involverar en mängd processer som validering, sorteringssammanfattning, aggregering för att nämna några. Många analysmotorer lämnar idag för storskalig databehandling, nämligen Apache Spark, Apache Flink och Apache Beam. Var och en av dessa motorer har sina egna fördelar och nackdelar. I den här avhandlingsrapporten använde vi alla dessa tre motorer för att bearbeta data från kolmonoxidens dagliga sammanfattningsdataset för att bestämma utsläppsnivåerna per område och tidsenhet. Sedan jämförde vi prestandan hos dessa 3 motorer med olika mått. Resultaten visade att Apache Beam, även om det erbjuds större bekvämlighet när man skriver program, var långsammare än Apache Flink och Apache Spark. Spark Runner in Beam var den snabbaste löparen och Apache Spark var den snabbaste databehandlingsramen totalt.