5 resultados para Complex Adaptive Systems

em Bucknell University Digital Commons - Pensilvania - USA


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Model based calibration has gained popularity in recent years as a method to optimize increasingly complex engine systems. However virtually all model based techniques are applied to steady state calibration. Transient calibration is by and large an emerging technology. An important piece of any transient calibration process is the ability to constrain the optimizer to treat the problem as a dynamic one and not as a quasi-static process. The optimized air-handling parameters corresponding to any instant of time must be achievable in a transient sense; this in turn depends on the trajectory of the same parameters over previous time instances. In this work dynamic constraint models have been proposed to translate commanded to actually achieved air-handling parameters. These models enable the optimization to be realistic in a transient sense. The air handling system has been treated as a linear second order system with PD control. Parameters for this second order system have been extracted from real transient data. The model has been shown to be the best choice relative to a list of appropriate candidates such as neural networks and first order models. The selected second order model was used in conjunction with transient emission models to predict emissions over the FTP cycle. It has been shown that emission predictions based on air-handing parameters predicted by the dynamic constraint model do not differ significantly from corresponding emissions based on measured air-handling parameters.

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In an effort to understand some of the ways that accountability-based reform efforts have influenced teacher education, this article details the politics of accountability in Pennsylvania that motivated sweeping changes in the policies governing teacher preparation in 2006. This case study provides a poignant example of the kind of complex accountability systems now being constructed across the United States in an effort to change teacher preparation. By analyzing primary documents including the legal statutes governing teacher preparation in Pennsylvania, correspondence from the Pennsylvania Department of Education, related newsletters, memos, reports, transcripts of meetings, and testimony before the Pennsylvania House of Representatives, the complex nature of the conflicts underlying the development and implementation of teacher education reform is brought into focus. The study's findings suggest that a deep and uncritical acceptance of accountability-based teacher education reform on the part of educational policy makers is likely to do more harm than good. The article concludes by outlining a framework for developing more intelligent measures of accountability that might preserve professional autonomy and judgment.

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In an effort to understand some of the ways that accountability-based reform efforts have influenced teacher education, this article details the politics of accountability in Pennsylvania that motivated sweeping changes in the policies governing teacher preparation in 2006. This case study provides a poignant example of the kind of complex accountability systems now being constructed across the United States in an effort to change teacher preparation. By analyzing primary documents including the legal statutes governing teacher preparation in Pennsylvania, correspondence from the Pennsylvania Department of Education, related newsletters, memos, reports, transcripts of meetings, and testimony before the Pennsylvania House of Representatives, the complex nature of the conflicts underlying the development and implementation of teacher education reform is brought into focus. The study's findings suggest that a deep and uncritical acceptance of accountability-based teacher education reform on the part of educational policy makers is likely to do more harm than good. The article concludes by outlining a framework for developing more intelligent measures of accountability that might preserve professional autonomy and judgment.

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Transportation has contributed to climate change and will most likely be impacted by changes in sea level, temperature, precipitation, and wind, for example. As the risk of climate change impacts become more imminent, pressure for adaptation within transportation agencies to address these impacts continues to rise. The most logical strategy is to integrate consideration of adaptation projects into the long-range transportation planning (LRTP) process. To do this, tools and experience are needed to assist transportation agencies. The Climate Change Adaptation Tool for Transportation (CCATT) is a step-by-step method to evaluate climate change scenarios and impacts, inventory at-risk existing and proposed infrastructure, and assess mitigation practices to identify supporting adaptation efforts. This paper focuses on the application of CCATT to the Mid-Atlantic region using a case study on the Wilmington Area Planning Council (WILMAPCO), the Metropolitan Planning Organization for northern Delaware. The results of the application and case study demonstrate the importance of climate change adaptation practices in long-range transportation planning. DOI: 10.1061/(ASCE)TE.1943-5436.0000515. (C) 2013 American Society of Civil Engineers.

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Most primates live in highly complex social systems, and therefore have evolved similarly complex methods of communicating with each other. One type of communication is the use of manual gestures, which are only found in primates. No substantial evidence exists indicating that monkeys use communicative gestures in the wild. However, monkeys may demonstrate the ability to learn and/or use gestures in certain experimental paradigms since they¿ve been shown to use other visual cues such as gaze. The purpose of this study was to investigate if ten brown capuchin monkeys (Cebus apella) were able to use gestural cues from monkeys and a pointing cue from a human to obtain a hidden reward. They were then tested to determine if they could transfer this skill from monkeys to humans and from humans to monkeys. One group of monkeys was trained and tested using a conspecific as the cue giver, and was then tested with a human cue-giver. The second group of monkeys began training and testing with a human cue giver, and was then tested with a monkey cue giver. I found that two monkeys were able to use gestural cues from conspecifics (e.g., reaching) to obtain a hidden reward and then transfer this ability to a pointing cue from a human. Four monkeys learned to use the human pointing cue first, and then transferred this ability to use the gestural cues from conspecifics to obtain a hidden reward. However, the number of trials it took for each monkey to transfer the ability varied considerably. Some subjects spontaneously transferred in the minimum number of trials needed to reach my criteria for successfully obtaining hidden rewards (N = 40 trials), while others needed a large number of trials to do so (e.g. N = 190 trials). Two subjects did not perform successfully in any of the conditions in which they were tested. One subject successfully used the human pointing cue and a human pointing plus vocalization cue, but did not learn the conspecific cue. One subject learned to use the conspecific cue but not the human pointing cue. This was the first study to test if brown capuchin monkeys could use gestural cues from conspecifics to solve an object choice task. The study was also the first to test if capuchins could transfer this skill from monkeys to humans and from humans to monkeys. Results showed that capuchin monkeys were able to flexibly use communicative gestures when they were both unintentionally given by a conspecific and intentionally given by a human to indicate a source of food.