988 resultados para Dietrick Lee


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The carousel wind tunnel (CWT) can be a significant tool for the determination of the nature and magnitude of interparticlar forces at threshold of motion. By altering particle and drum surface electrical properties and/or by applying electric potential difference across the inner and outer drums, it should be possible to separate electrostatic effects from other forces of cohesion. Besides particle trajectory and bedform analyses, suggestions for research include particle aggregation in zero and sub-gravity environments, effect of suspension-saltation ratio on soil abrasion, and the effects of shear and shear free turbulence on particle aggregation as applied to evolution of solar nebula.

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The fiction of football, or soccer as it is commonly known in both the US and Australia, has a long and deep history. Despite this, there is still academic uncertainty as to whether it qualifies description as a distinct fictive genre. This paper seeks to address this question. It brings a genre analysis approach to the football fiction canon. Starting with definitions of what constitutes football fiction and genre, the paper goes on to distinguish and aggregate common trends, tensions and divergences and identify emerging and popular movements within football fiction. The paper will then assess football fiction’s status as a discrete genre.

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This paper presents an adaptive metering algorithm for enhancing the electronic screening (e-screening) operation at truck weight stations. This algorithm uses a feedback control mechanism to control the level of truck vehicles entering the weight station. The basic operation of the algorithm allows more trucks to be inspected when the weight station is underutilized by adjusting the weight threshold lower. Alternatively, the algorithm restricts the number of trucks to inspect when the station is overutilized to prevent queue spillover. The proposed control concept is demonstrated and evaluated in a simulation environment. The simulation results demonstrate the considerable benefits of the proposed algorithm in improving overweight enforcement with minimal negative impacts on nonoverweighed trucks. The test results also reveal that the effectiveness of the algorithm improves with higher truck participation rates in the e-screening program.

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Long traffic queues on off-ramps significantly compromise the safety and throughput of motorways. Obtaining accurate queue information is crucial for countermeasure strategies. However, it is challenging to estimate traffic queues with locally installed inductive loop detectors. This paper deals with the problem of queue estimation with the interpretation of queuing dynamics and the corresponding time-occupancy distribution over motorway off-ramps. A novel algorithm for real-time queue estimation with two detectors is presented and discussed. Results derived from microscopic traffic simulation validated the effectiveness of the algorithm and revealed some of its useful features: (a) long and intermediate traffic queues could be accurately measured, (b) relatively simple detector input (i.e., time occupancy) was required, and (c) the estimation philosophy was independent with signal timing changes and provided the potential to cooperate with advanced strategies for signal control. Some issues concerning field implementation are also discussed.

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The primary objective of this study is to develop a robust queue estimation algorithm for motorway on-ramps. Real-time queue information is a vital input for dynamic queue management on metered on-ramps. Accurate and reliable queue information enables the management of on-ramp queue in an adaptive manner to the actual traffic queue size and thus minimises the adverse impacts of queue flush while increasing the benefit of ramp metering. The proposed algorithm is developed based on the Kalman filter framework. The fundamental conservation model is used to estimate the system state (queue size) with the flow-in and flow-out measurements. This projection results are updated with the measurement equation using the time occupancies from mid-link and link-entrance loop detectors. This study also proposes a novel single point correction method. This method resets the estimated system state to eliminate the counting errors that accumulate over time. In the performance evaluation, the proposed algorithm demonstrated accurate and reliable performances and consistently outperformed the benchmarked Single Occupancy Kalman filter (SOKF) method. The improvements over SOKF are 62% and 63% in average in terms of the estimation accuracy (MAE) and reliability (RMSE), respectively. The benefit of the innovative concepts of the algorithm is well justified by the improved estimation performance in congested ramp traffic conditions where long queues may significantly compromise the benchmark algorithm’s performance.

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This paper proposes a unique and innovative approach to integrate transit signal priority control into a traffic adaptive signal control strategy. The proposed strategy was named OSTRAC (Optimized Strategy for integrated TRAffic and TRAnsit signal Control). The cornerstones of OSTRAC include an online microscopic traffic f low prediction model and a Genetic Algorithm (GA) based traffic signal timing module. A sensitivity analysis was conducted to determine the critical GA parameters. The developed traffic f low model demonstrated reliable prediction results through a test. OSTRAC was evaluated by comparing its performance to three other signal control strategies. The evaluation results revealed that OSTRAC efficiently and effectively reduced delay time of general traffic and also transit vehicles.

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The primary objective of this study is to develop a robust queue estimation algorithm for motorway on-ramps. Real-time queue information is the most vital input for a dynamic queue management that can treat long queues on metered on-ramps more sophistically. The proposed algorithm is developed based on the Kalman filter framework. The fundamental conservation model is used to estimate the system state (queue size) with the flow-in and flow-out measurements. This projection results are updated with the measurement equation using the time occupancies from mid-link and link-entrance loop detectors. This study also proposes a novel single point correction method. This method resets the estimated system state to eliminate the counting errors that accumulate over time. In the performance evaluation, the proposed algorithm demonstrated accurate and reliable performances and consistently outperformed the benchmarked Single Occupancy Kalman filter (SOKF) method. The improvements over SOKF are 62% and 63% in average in terms of the estimation accuracy (MAE) and reliability (RMSE), respectively. The benefit of the innovative concepts of the algorithm is well justified by the improved estimation performance in the congested ramp traffic conditions where long queues may significantly compromise the benchmark algorithm’s performance.

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Motorway off-ramps are a significant source of traffic congestion and collisions. Heavy diverging traffic to off-ramps slows down the mainline traffic speed. When the off-ramp queue spillbacks onto the mainline, it leads to a major breakdown of the motorway capacity and a significant threat to the traffic safety. This paper proposes using Variable Speed Limits (VSL) for protection of the motorway off-ramp queue and thus to promote safety in congested diverging areas. To support timely activation of VSL in advance of queue spillover, a proactive control strategy is proposed based on a real-time off-ramp queue estimation and prediction. This process determines the estimated queue size in the near-term future, on which the decision to change speed limits is made. VSL can effectively slow down traffic as it is mandatory that drivers follow the changed speed limits. A collateral benefit of VSL is its potential effect on drivers making them more attentive to the surrounding traffic conditions, and prepared for a sudden braking of the leading car. This paper analyses and quantifies these impacts and potential benefits of VSL on traffic safety and efficiency using the microsimulation approach.

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Service research in information systems (IS) has received attention over many years (e.g. Kettinger and Lee, 1994), but more recently has increased substantially in both diversity and volume (Rai and Sambamurthy, 2006). A service-oriented view of information technology (IT) is gradually taking hold in both academia and industry. This is concomitant with the growth of service-related phenomena and concepts (Lusch and Vargo, 2006), stimulating a global discourse about 'service science' as a new, cross-disciplinary field of research (Chesbrough and Spohrer, 2006).

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This note examines the productive efficiency of 62 starting guards during the 2011/12 National Basketball Association (NBA) season. This period coincides with the phenomenal and largely unanticipated performance of New York Knicks’ starting point guard Jeremy Lin and the attendant public and media hype known as Linsanity. We employ a data envelopment analysis (DEA) approach that includes allowance for an undesirable output, here turnovers per game, with the desirable outputs of points, rebounds, assists, steals and blocks per game and an input of minutes per game. The results indicate that depending upon the specification, between 29% and 42% of NBA guards are fully efficient, including Jeremy Lin, with a mean inefficiency of 3.7% and 19.2%. However, while Jeremy Lin is technically efficient, he seldom serves as a benchmark for inefficient players, at least when compared with established players such as Chris Paul and Dwayne Wade. This suggests the uniqueness of Jeremy Lin's productive solution and may explain why his unique style of play, encompassing individual brilliance, unselfish play and team leadership, is of such broad public appeal.

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This practice-led research contextualises and advances the novel as a form within the fiction of football (commonly referred to as soccer in Australia). This is a field which has undergone very little academic scrutiny. Through adapting and developing a distant reading model of abstraction and using it in conjunction with closer textual analyses, this research develops the first historiography of football fiction. The model is used to realise a set of broad conventions, map relationships across the body of work and identify growth areas. The thesis argues that football fiction exhibits qualities which warrant the works being described collectively as a genre. A comparison of young adult and adult football fictions will highlight the similarities and differences that occur in literary technique in texts aimed at these readerships, as they appear to be distinct to football fiction. The generic conventions and identified divergences are used to inform and are reflected in an original novel-length work of young adult fantasy football fiction, entitled Blaming David Beckham. The objectives of this novel, as an extension to the research, are to explore and demonstrate the findings and advance the understanding of the generic elements of football fiction.

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Short Story About football Rugby League and City Country Clashes. Written to explore, examine and attempt to subvert generic conventions identified in PhD research. Good football fiction exists and it is plentiful.

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This piece emerged during the development of my PhD research. I started looking at the differences between young adult and adult fiction. I found strangebOUnce.com to be kindred spirits looking at football, the beautiful game, through creators eyes. I hope to publish more work with them

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Total Dik! is a collaborative project between the Queensland University of Technology (QUT) and Queensland Theatre Company (QTC). Total Dik! explores transmedia storytelling in live performance from concept development to delivery and builds on works, By the Way, Meet Vera Stark, (Forrester2012), Hotel Modern’s Kamp (2005) and God’s Beard (2012) that use visual art, puppetry, music and film. The project’s first iteration enabled an interrogation of the integration of media-rich elements with live performers in a theatrical environment. Performative transmedia storytelling draws on the tenets of convergent media theory developed by Jenkins (2007, 2012), Dena (2010) and Philips (2012). This exploratory work, juxtaposing transmedia storytelling techniques with live performance, draws on Samuel Becket’s challenges to theatre orthodoxy, and touches on Brechtian notions of alienation through ‘sleight-of-hand’ or processual unpacking and deconstruction during performance. Total Dik! blends a convergence of technologies, models, green screen capture, and live dimensions of performance in one narrative allowing the work’s creators to test new combinations of transmedia storytelling techniques on a traditional performance platform.

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This Australian case study of futures methodologies in local government explores the development and implementation of the Logan 2026 City Directions project. As an innovative approach to strategic planning, and forming the city visioning umbrella for the Strategic Planning and Performance Management Framework of Council, Logan 2026 City Directions has facilitated greater engagement with the community and represents an opportunity for Council to explore and build on the organisation's foresight capacity and to enhance internal communications within the organisation. One significant by-product has been ongoing dialogue and actions of the workshop groups in Council seeking to address such issues as climate change.