The Source : Micky Allan, Jonas Balsaitis, Peter Ellis, Keith Looby, Jan Murray, Geoff Parr, Stieg Persson, Robert Rooney, Vicki Varvaressos

The Source Catalogue of exhibitions held at the Centre for the Arts Gallery, Hunter street, Hobart 11 July - 3 August 1986 Curated by Elizabeth Gower Micky Allan, Jonas Balsaitis, Peter Ellis, Keith Looby, Jan Murray, Geoff Parr, Stieg Persson, Robert Rooney, Vicki Varvaressos Artists' preparatory studies, Australi

Elizabeth Gower (Art Forum)

Elizabeth Gower discusses her work, focussing on the gleaning process and the significance of location

Skilling Up: Providing Educational Opportunities for Aboriginal Education Workers through Technology-based Pedagogy

Over the past decade Aboriginal and Torres Strait Islander studies and perspectives have been mandated across the Australian national curriculum and all teachers are now required to demonstrate strategies for teaching Aboriginal and Torres Strait Islander students and have a broad knowledge of Aboriginal histories, cultures and languages. This paper describes a project focused on enabling Aboriginal Education Workers (AEWs) to play a critical role in transforming these initiatives into real and sustainable change through authentic, technology-based pedagogy. Indigenous research methodologies and design-based research (DBR) were used to investigate the potential educational roles for AEWs enabled by e-learning and new technologies. The project, called Skilling Up: Improving educational opportunities for AEWs through technology based pedagogy was funded by the Office of Learning and Teaching. This paper reports on the findings of the study conducted in Western Australia, including pre-study survey results, together with a description of a unit of study to provide opportunities for AEWs to use technologies in their work, and to create authentic digital stories for use in teacher education. The development of design principles for the design of such environments is also discussed

Skilling Up: Providing Educational Opportunities for Aboriginal Education Workers through Technology-based Pedagogy

Over the past decade Aboriginal and Torres Strait Islander studies and perspectives have been mandated across the Australian national curriculum and all teachers are now required to demonstrate strategies for teaching Aboriginal and Torres Strait Islander students and have a broad knowledge of Aboriginal histories, cultures and languages. This paper describes a project focused on enabling Aboriginal Education Workers (AEWs) to play a critical role in transforming these initiatives into real and sustainable change through authentic, technology-based pedagogy. Indigenous research methodologies and design-based research (DBR) were used to investigate the potential educational roles for AEWs enabled by e-learning and new technologies. The project, called Skilling Up: Improving educational opportunities for AEWs through technology based pedagogy was funded by the Office of Learning and Teaching. This paper reports on the findings of the study conducted in Western Australia, including pre-study survey results, together with a description of a unit of study to provide opportunities for AEWs to use technologies in their work, and to create authentic digital stories for use in teacher education. The development of design principles for the design of such environments is also discussed

Integrated model-based run-to-run uniformity control for epitaxial silicon deposition.

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.Also available online at the MIT Theses Online homepage Includes bibliographical references (p. 241-247).This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Semiconductor fabrication facilities require an increasingly expensive and integrated set of processes. The bounds on efficiency and repeatability for each process step continue to tighten under the pressure of economic forces and product performance requirements. This thesis addresses these issues and describes the concept of an "Equipment Cell," which integrates sensors and data processing software around an individual piece of semiconductor equipment. Distributed object technology based on open standards is specified and utilized for software modules that analyze and improve semiconductor equipment processing capabilities. A testbed system for integrated, model-based, run-to-run control of epitaxial silicon (epi) film deposition is developed, incorporating a cluster tool with a single-wafer epi deposition chamber, an in-line epi film thickness measurement tool, and off-line thickness and resistivity measurement systems. Automated single-input-single-output, run-to-run control of epi thickness is first demonstrated. An advanced, multi-objective controller is then developed (using distributed object technology) to provide simultaneous epi thickness control on a run-to-run basis using the in-line sensor, as well as combined thickness and resistivity uniformity control on a lot-to-lot basis using off-line thickness and resistivity sensors.(cont.) Control strategies are introduced for performing combined run-to-run and lot-to-lot control, based on the availability of measurements. Also discussed are issues involved with using multiple site measurements of multiple film characteristics, as well as the use of time-based inputs and rate-based models. Such techniques are widely applicable for many semiconductor processing steps.by Aaron Elwood Gower-Hall.Ph.D

Multi-Objective Counterfactual Explanations

Counterfactual explanations are one of the most popular methods to make predictions of black box machine learning models interpretable by providing explanations in the form of `what-if scenarios'. Most current approaches optimize a collapsed, weighted sum of multiple objectives, which are naturally difficult to balance a-priori. We propose the Multi-Objective Counterfactuals (MOC) method, which translates the counterfactual search into a multi-objective optimization problem. Our approach not only returns a diverse set of counterfactuals with different trade-offs between the proposed objectives, but also maintains diversity in feature space. This enables a more detailed post-hoc analysis to facilitate better understanding and also more options for actionable user responses to change the predicted outcome. Our approach is also model-agnostic and works for numerical and categorical input features. We show the usefulness of MOC in concrete cases and compare our approach with state-of-the-art methods for counterfactual explanations