2,765 research outputs found

    Machine learning techniques for fault isolation and sensor placement

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    Fault isolation and sensor placement are vital for monitoring and diagnosis. A sensor conveys information about a system's state that guides troubleshooting if problems arise. We are using machine learning methods to uncover behavioral patterns over snapshots of system simulations that will aid fault isolation and sensor placement, with an eye towards minimality, fault coverage, and noise tolerance

    Qualitative models for planning: A gentle introduction

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    Qualitative modeling is the study of how the physical world behaves. These physical models accept partial descriptions of the world and output the possible changes. Current systems assume that the model is static and that physical entities do not effect change into the world. An approach to planning in physical domains and a working implementation which integrates qualitative models with a temporal interval-based planner are described. The planner constructs plans involving physical qualities and their behavioral descriptions

    Intelligent monitoring and diagnosis systems for the Space Station Freedom ECLSS

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    Specific activities in NASA's environmental control and life support system (ECLSS) advanced automation project that is designed to minimize the crew and ground manpower needed for operations are discussed. Various analyses and the development of intelligent software for the initial and evolutionary Space Station Freedom (SSF) ECLSS are described. The following are also discussed: (1) intelligent monitoring and diagnostics applications under development for the ECLSS domain; (2) integration into the MSFC ECLSS hardware testbed; and (3) an evolutionary path from the baseline ECLSS automation to the more advanced ECLSS automation processes

    Critical Indigenous pedagogy meets transformative education in a third space learning experience

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    This paper explores the philosophical and theoretical foundations of a first year unit in Aboriginal Studies offered at the University of Notre Dame in Fremantle. It explains how the current approach is inclusive of transformative and critical Indigenous pedagogies and taught from an evolving ‘third space’. Each philosophical underpinning is considered briefly, with reference to informal feedback received from students in 2014. What is suggested is that AB100 is indeed transformational for students in ways that are potentially ongoing in both professional and personallives. Given the focus of the University of Notre Dame on training students for the professions this has implications for potential ways of teaching and learning that may require uncapping the usual teaching and learning frameworks to actively incorporate transformative and Indigenous pedagogies. Recommended is the need for further investigation and research into the impact of this approach to learning via an evaluation framework based upon the authors PhD outcome

    Foundation: Transforming data bases into knowledge bases

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    One approach to transforming information stored in relational data bases into knowledge based representations and back again is described. This system, called Foundation, allows knowledge bases to take advantage of vast amounts of pre-existing data. A benefit of this approach is inspection, and even population, of data bases through an intelligent knowledge-based front-end

    Stories from high school and prisons rattle institutional cages

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    This paper is based on two research projects. One considered ‘unsettling’ Aboriginal prisoner education and the other ‘troubling’ education in high school. Juxtaposed are two critical research methodologies; critical ethnography and a relational critical allied methodology. Whilst these may at first appear very similar, on closer scrutiny it becomes clearer that independently, the place of the researcher becomes situated in a somewhat different relationship with participants. In working through these layers of difference, what emerges are the entwined voices of participants who are clearly telling us what ‘bars hold them in their cages’ and what spaces between could be transformational

    Design Knowledge Capture: Preserving Engineering Knowledge For Future Applications

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    A new problem beginning to challenge the artificial intelligence community is design knowledge capture. There has been an increased desire to construct systems with inherent built-in evolvability toward more advanced technologies and machine intelligence. Success in this evolution process depends on being able to capture as-built design knowledge from the outset. Requirements and objectives for such systems are reviewed and an application to capture design knowledge within a combined data and knowledge environment is presented. Design knowledge and rationale are implemented as design objects. Knowledge represented within an object can be physical, conceptual, functional, or structural. Storage and retrieval of rationale is achieved through a network of design objects and a model of the design process. The context, as well as the content, of captured knowledge is described within the process network of requirements, trades, and analyses. Design knowledge applications include, for example, traceability to requirements, standards, and specifications. It can be used to describe attributes of a part, or for input to further analyses, and trade studies. Other uses include verification, simulation, and maintenance activities

    Does Paying Politicians More Promote Economic Diversity in Legislatures?

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    If politicians in the United States were paid better, would more middle- and working-class people become politicians? Reformers often argue that the low salaries paid in state and local governments make holding office economically infeasible for lower-income citizens and contribute to the enduring numerical under-representation of the working class in our political institutions. Of course, raising politicians’ salaries could also make political office more attractive to affluent professionals, increasing competition for office and ultimately discouraging lower-income citizens from running and winning. In this article, we test these hypotheses using data on the salaries and economic backgrounds of state legislators. Contrary to the notion that paying politicians more promotes economic diversity, we find that the descriptive representation of the working class is the same or worse in states that pay legislators higher salaries. These findings have important implications for research on descriptive representation, political compensation, and political inequality
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