Thesis (Ph. D.)--University of Wisconsin--Madison, 1981. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

Thesis (Ph. D.)--University of Texas at Austin, 2005. / Supervisor: S. Joe Qin. Vita. Includes bibliographical references.

Thesis (Ph.D.) - University of Queensland, 2006. / Includes bibliography.

Thesis (Ph. D.)--Lehigh University, 2006. / Includes vita. Includes bibliographical references (leaves 163-173).

Thesis (Ph. D.)--University of Washington, 1986. / Vita. Bibliography: leaves [164]-168.

Thesis (D.Eng.)--Cleveland State University, 2009. / Abstract. Title from PDF t.p. (viewed on Oct. 26, 2009). Includes bibliographical references (p. 78-89). Available online via the OhioLINK ETD Center and also available in print.

Thesis (Ph. D.)--Virginia Polytechnic Institute and State University, 1994. / Vita. Abstract. Includes bibliographical references. Also available via the Internet.

This thesis aims to establish methods for identifying and training the knowledge and skills of operating a novel automated system still undergoing final design and construction. The absence of operating experience requires the characteristics of the system to be examined so that the future tasks of supervisors can be anticipated in order to address human factors design. This work is carried out in the context of an 'Integrated Mail Processor' (IMP)—a highly automated letter sorting machine being developed by Royal Mail.

To date there has been significant research on the topic of financial distress prediction, due to its relevance to various stakeholders. Beaver (1966), Altman (1968) and Ohlson (1980) are generally regarded as the pioneers in this field of study, despite heavy criticism their models are widely accepted and used. Studies by Grice & Ingram (2001); Grice & Dugan (2001) and Sudarsanam & Taffler (1995) have shown that these models require to be updated regularly with new variables and coefficients due to various factors. This study proposes to add to the body of knowledge by developing a distress prediction model using a classic statistical method and financial ratios, calculated on published company data of organisations listed on the Johannesburg Stock Exchange. / Dissertation (MBA)--University of Pretoria, 2013. / zkgibs2014 / Gordon Institute of Business Science (GIBS) / MBA / Unrestricted

The aim of this project is to design and build an industrialized microprocessor system capable of testing the limits and capabilities of microprocessors in the industrial process control world. The system must be capable of operating in a data logging or control or supervisory capacity. The system consists of a ruggerdized, electrically isolated unit, designed on a "black box" principle, with minimum operator controls. It is housed in a sealed crate with internal access via rows of input and output plugs and connecters. The system has been designed on a modular basis in order to simplify expansion. It can be operated as a small dedicated controller or expanded by the addition of memory and/or industrial I/O modules to its full capacity. The system is based on an INTEL 8080 microprocessor. The industrial interface consists of electrically isolated analog and digital input and output modules which can be selected under program control. There are also up to 64 asynchronous priority encoded alarm channels that can interrupt the control sequence at any time should an alarm condition arise. For debugging hardware and software a plug-on front panel unit is provided.