Institutionalizing Undergraduate Research - 2012 Progress Report

The goal of the Undergraduate Research Initiative is to make undergraduate research a priority at Georgia College and a key element of its culture. This 2012 report was crafted by the Undergraduate Research Initiative (URI) Committee. The URI committee was charged in 2010 to study, investigate, and implement practices and policies that lead to institutionalized best practices in faculty-student collaborations through undergraduate research and creative activity. The successes, challenges, opportunities and recommendations highlighted herein are faculty-driven and faculty-led. They respond to the critical need to bring attention to undergraduate research as a high impact pedagogy that has the potential to transform the intellectual climate of Georgia College

Iowa Department of Public Defense Performance Plan FY2017, December 15, 2017

Agency Performance Plan for the Iowa Department of Public Defense

Management: A bibliography for NASA Managers

This bibliography lists 707 reports, articles and other documents introduced into the NASA scientific and technology information system in 1985. Items are selected and grouped according to their usefulness to the manager as manager. Citations are grouped into ten subject categories: human factors and personnel issues; management theory and techniques; industrial management and manufacturing; robotics and expert systems; computers and information management; research and development; economics, costs, and markets; logistics and operations management; reliability and quality control; and legality, legislation, and policy

Proceedings of the Second International Mobile Satellite Conference (IMSC 1990)

Presented here are the proceedings of the Second International Mobile Satellite Conference (IMSC), held June 17-20, 1990 in Ottawa, Canada. Topics covered include future mobile satellite communications concepts, aeronautical applications, modulation and coding, propagation and experimental systems, mobile terminal equipment, network architecture and control, regulatory and policy considerations, vehicle antennas, and speech compression

Multi-agent Collision Avoidance Using Interval Analysis and Symbolic Modelling with its Application to the Novel Polycopter

Coordination is fundamental component of autonomy when a system is defined by multiple mobile agents. For unmanned aerial systems (UAS), challenges originate from their low-level systems, such as their flight dynamics, which are often complex. The thesis begins by examining these low-level dynamics in an analysis of several well known UAS using a novel symbolic component-based framework. It is shown how this approach is used effectively to define key model and performance properties necessary of UAS trajectory control. This is demonstrated initially under the context of linear quadratic regulation (LQR) and model predictive control (MPC) of a quadcopter. The symbolic framework is later extended in the proposal of a novel UAS platform, referred to as the ``Polycopter" for its morphing nature. This dual-tilt axis system has unique authority over is thrust vector, in addition to an ability to actively augment its stability and aerodynamic characteristics. This presents several opportunities in exploitative control design. With an approach to low-level UAS modelling and control proposed, the focus of the thesis shifts to investigate the challenges associated with local trajectory generation for the purpose of multi-agent collision avoidance. This begins with a novel survey of the state-of-the-art geometric approaches with respect to performance, scalability and tolerance to uncertainty. From this survey, the interval avoidance (IA) method is proposed, to incorporate trajectory uncertainty in the geometric derivation of escape trajectories. The method is shown to be more effective in ensuring safe separation in several of the presented conditions, however performance is shown to deteriorate in denser conflicts. Finally, it is shown how by re-framing the IA problem, three dimensional (3D) collision avoidance is achieved. The novel 3D IA method is shown to out perform the original method in three conflict cases by maintaining separation under the effects of uncertainty and in scenarios with multiple obstacles. The performance, scalability and uncertainty tolerance of each presented method is then examined in a set of scenarios resembling typical coordinated UAS operations in an exhaustive Monte-Carlo analysis

Linking the knowledge economy, urban intensity and transport in post-industrial cities with a case study of Perth, Western Australia

Cities in post-industrial economies are characterised by a multi-layered intensification of knowledge. This intensification occurs through: • agglomeration of knowledge economic activity; • human capital knowledge; and • the means of knowledge exchange i.e. ICT and transport. This thesis proposes an intensification of key walkable urban centres, particularly universities. Knowledge urban intensification is heavily reliant on rail and walking transport intensification