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Includes bibliographical references. / The mining and beneficiation of coal and hard rock ores generates large volumes of sulphidic waste that may oxidise in the presence of oxygen and result in the generation of acid rock drainage (ARD). In order to effectively manage the long term effects of ARD, there is a need to reliably quantify the associated impacts and how these impacts evolve with time. Traditional laboratory-scale tests only provide a partial picture of ARD generation, and their extrapolation to full-scale deposits is highly uncertain and controversial. This has prompted the development of mathematical models which take into account the governing chemical reaction and physical transport mechanisms. Whilst the accurate and reliable quantification of the time-related ARD profiles requires rigorous mechanistic modeling of both the (bio) chemical reaction and physical transport mechanisms under non-ideal flow conditions, advanced models are complex and only suitable for site-specific studies and operational decision-making contexts. However, in the early stage screening of waste for potential environmental impacts, simple geochemical mass transport models such as PHREEQC can be used. PHREEQC V.2 has capabilities to simulate a wide range of processes that include equilibrium controlled reactions, kinetically controlled reactions and 1-D advective-dispersion transport, and has been used in a wide range of geochemical applications. However, despite its capabilities, little has been published on its applications to ARD prediction. This study focused on the development and application of a PHREEQC based predictive modeling tool, suitable for the early or screening evaluation of the potential long-term ARD risks associated with sulphidic waste deposits.

This paper analyzes and enumerates the major problems concerning traffic congestion and parking in Tallahassee, and considers the changes to be put into effect that would eliminate these problems. / Typescript. / "July 17, 1951." / "Submitted to the Graduate Council of Florida State University in partial fulfillment of the requirements for the degree of Master of Science." / Advisor: James A. Norton, Professor Directing Paper. / Includes bibliographical references (leaf 32).

Photocopy of typescript. / Digitized by Kansas Correctional Industries

Thesis (Ph. D.)--UCLA, 2007. / Vita. Includes bibliographical references (leaves 287-298).

D.Phil. / South Africa’s SMMEs are characterised by, among other challenges, poor management, poor entrepreneurial performance and low global competitiveness. The Global Entrepreneurial Monitor (GEM) reported that South Africa ranks low in terms of global competitiveness. This study evaluated the management performance of small, micro- and medium-sized enterprises (SMMEs) in the South African building construction industry, the third largest employer in South Africa. The main research aim was to find the reasons for the poor management performance of the building construction industry SMMEs and to make recommendations to improve the management performance of these SMMEs. International management performance models were analysed to select an appropriate model to evaluate the respondents’ management performance. The South African Excellence Model (SAEM) was deemed the most appropriate and was selected and used as research instrument. The researcher selected an evaluative, comparative design for the study. A two-part questionnaire was used for data collection. “Part 1” questionnaire profiled the sampled SMMEs to identify independent variables that influenced their management performance. The self-assessment performance measurement questionnaire (“Part 2” questionnaire) evaluated their management performance. The results of the study were twofold. Firstly, the mean-ranking results that ranked the eleven management performance criteria were tested for equality. Management performance criteria that showed low mean ranks were reasons for the respondents’ poor management performance. Secondly, independence tests identified the factors that influenced the SMMEs’ management performance. The greatest deficiency in terms of management performance was lack of social responsibility amongst SMMEs. The second largest deficiency occurred at business processes, followed by the planning and strategy, people management, and people satisfaction criteria. The most sufficient criterion was customer satisfaction, followed by leadership, customer and market focus, resources and information management and lastly supplier and partnership performance criteria. Hypothesised reasons for the respondents’ poor management performance were tested statistically. Of the five independent variables tested to determine whether they significantly improved the respondents’ management performance, education and technical skills training significantly improved the management performance. Age, gender and race of owner-managers, however, did not. The study recommends strengthening the SACEM by introducing financial management criteria and benchmarking SMMEs’ management performance with industry and world-class best practice. The study found that management performance criteria that showed low scores (social responsibility, business processes, and planning and strategy) require urgent intervention.

The line-of-sight angle (LOSA) was investigated for a simple tracking task. The distance from the eyes of the subject to the image was varied through the use of optical lenses. The subject was seated in a chair with 5 different back angles: 90 degrees, 111.6 degrees, 125 degrees, 158.5 degrees, and 177.1 degrees. No significant difference in the selection of LOSA was found between image distances of .5 meters, 1 meter, 2 meters, and infinity. The subjects' selection of LOSA was affected by the change in seat inclination angles. / Master of Science

A dissertation submitted to the Faculty of Engineering, University of the Witwatersrand, Johannesburg, in fulfillment of the requirements for the degree of Master of Science in Engineering. / This dissertation shows that the engineering information system (EIS) is the primary integration mechanism in computer integrated manufacturing. The EIS has been defined by creating a functional as well as an information model. These models are the initial steps in the process of implementing an EIS by means of a database management system. The modelling of the EIS is defined within a work brealcdown structure for CIM acquisition which is applicable to any CIM project. The impact of the scope CIM of and the changes this requires are also defined. It is also shown that for an enterprise involved in the manufacture of complex systems it is more beneficial to introduce CIM in those areas outside the area of factory automation, The complexity of the EIS information model is such that it has not been possible to construct it manually. Automated tools should be used to create the EIS information model. / Andrew Chakane 2018