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An SoS Conceptual Model, LVC Simulation Framework, and a Prototypical Implementation of Unmanned System Interventions for Nuclear Power Plant Disaster Preparedness, Response, and Mitigation
Title
An SoS Conceptual Model, LVC Simulation Framework, and a Prototypical Implementation of Unmanned System Interventions for Nuclear Power Plant Disaster Preparedness, Response, and Mitigation.
Creator
Davis, Matthew, Proctor, Michael, O'Neal, Thomas, Reilly, Charles, Sulfredge, C., Smith, Roger, University of Central Florida
Abstract / Description
Nuclear power plant disasters can have severe and far-reaching consequences, thus emergency managers and first responders from utility owners to the DoD must be prepared to respond to and mitigate effects protecting the public and environment from further damage. Rapidly emerging unmanned systems promise significant improvement in response and mitigation of nuclear disasters. Models and simulations (M(&)S) may play a significant role in improving readiness and reducing risks through its use...
Show moreNuclear power plant disasters can have severe and far-reaching consequences, thus emergency managers and first responders from utility owners to the DoD must be prepared to respond to and mitigate effects protecting the public and environment from further damage. Rapidly emerging unmanned systems promise significant improvement in response and mitigation of nuclear disasters. Models and simulations (M(&)S) may play a significant role in improving readiness and reducing risks through its use in planning, analysis, preparation training, and mitigation rehearsal for a wide spectrum of derivate scenarios. Legacy nuclear reactor M(&)S lack interoperability between themselves and avatar or agent-based simulations of emergent unmanned systems. Bridging the gap between past and the evolving future, we propose a conceptual model (CM) using a System of System (SoS) approach, a simulation federation framework capable of supporting concurrent and interoperating live, virtual and constructive simulation (LVC), and demonstrate a prototypical implementation of an unmanned system intervention for nuclear power plant disaster using the constructive simulation component. The SoS CM, LVC simulation framework, and prototypical implementation are generalizable to other preparedness, response, and mitigation scenarios. The SoS CM broadens the current stovepipe reactor-based simulations to a system-of-system perspective. The framework enables distributed interoperating simulations with a network of legacy and emergent avatar and agent simulations. The unmanned system implementation demonstrates feasibility of the SoS CM and LVC framework through replication of selective Fukushima events. Further, the system-of-systems approach advances life cycle stages including concept exploration, system design, engineering, training, and mission rehearsal. Live, virtual, and constructive component subsystems of the CM are described along with an explanation of input/output requirements. Finally, applications to analysis and training, an evaluation of the SoS CM based on recently proposed criteria found in the literature, and suggestions for future research are discussed.
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Date Issued
2017
Identifier
CFE0006732, ucf:51879
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0006732
Assessing the Impact of Multi-variate Steering-rate Vehicle Control on Driver Performance in a Simulation Framework
Title
Assessing the Impact of Multi-variate Steering-rate Vehicle Control on Driver Performance in a Simulation Framework.
Creator
Xynidis, Michael, Morrow, Patricia Bockelman, Karwowski, Waldemar, Martin, Glenn, O'Neal, Thomas, Xanthopoulos, Petros, Mouloua, Mustapha, University of Central Florida
Abstract / Description
When a driver turns a steering-wheel, he or she normally expects the vehicle's steering system to communicate an equivalent amount of signal to the road-wheels. This relationship is linear and occurs regardless of the steering-wheel's position within its rotational travel. The linear steering paradigm in passenger vehicles has gone largely unchanged since mass production of passenger vehicles began in 1901. However, as more electronically-controlled steering systems appear in conjunction with...
Show moreWhen a driver turns a steering-wheel, he or she normally expects the vehicle's steering system to communicate an equivalent amount of signal to the road-wheels. This relationship is linear and occurs regardless of the steering-wheel's position within its rotational travel. The linear steering paradigm in passenger vehicles has gone largely unchanged since mass production of passenger vehicles began in 1901. However, as more electronically-controlled steering systems appear in conjunction with development of autonomous steering functions in vehicles, an opportunity to advance the existing steering paradigms arises. The following framework takes a human-factors approach toward examining and evaluating alternative steering systems by using Modeling and Simulation methods to track and score human performance.Present conventional steering systems apply a linear relationship between the steering-wheel and the road wheels of a vehicle. The rotational travel of the steering-wheel is 900(&)deg; and requires two-and-a-half revolutions to travel from end-stop to opposite end-stop. The experimental steering system modeled and employed in this study applies a dynamic curve response to the steering input within a shorter, 225(&)deg; rotational travel. Accommodation variances, based on vehicle speed and steering-wheel rotational position and acceleration, moderate the apparent steering input to augment a more-practical, effective steering rate. This novel model follows a paradigm supporting the full range of steering-wheel actuation without necessitating hand repositioning or the removal of the driver's hands from the steering-wheel during steering maneuvers.In order to study human performance disparities between novel and conventional steering models, a custom simulator was constructed and programmed to render representative models in a test scenario. Twenty-seven males and twenty-seven females, ranging from the ages of eighteen to sixty-five were tested and scored using the driving simulator that presented two successive driving test vignettes: One vignette using conventional 900(&)deg; steering with linear response and the other employing the augmented 225(&)deg; multivariate, non-linear steering.The results from simulator testing suggest that both males and females perform better with the novel system, supporting the hypothesis that drivers of either gender perform better with a system augmented with 225(&)deg; multivariate, non-linear steering than with a conventional steering system. Further analysis of the simulated-driving scores indicates performance parity between male and female participants, supporting the hypothesis positing no significant difference in driver performance between male and female drivers using the augmented steering system. Finally, composite data from written questionnaires support the hypothesis that drivers will prefer driving the augmented system over conventional steering.These collective findings support justification for testing and refining novel steering systems using Modeling and Simulation methods. As a product of this particular study, a tested and open-sourced simulation framework now exists such that researchers and automotive designers can develop, as well as evaluate their own steering-oriented products within a valid human-factors construct. The open-source nature of this framework implies a commonality by which otherwise disparate research and development work can be associated.Extending this framework beyond basic investigation to reach applications requiring more-specialized parameters may even impact drivers having special needs. For example, steering-system functional characteristics could be comparatively optimized to accommodate individuals afflicted with upper-body deficits or limited use of either or both arms. Moreover, the combined human-factors and open-source approaches distinguish the products of this research as a common and extensible platform by which purposeful automotive-industry improvements can be realized(-)contrasted with arbitrary improvements that might be brought about predominantly to showcase technological advancements.
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Date Issued
2018
Identifier
CFE0007420, ucf:52706
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0007420
An Examination of the Impact of Student Characteristics and Teacher Experience and Preparation Program Attended on Student Achievement in a Small School District
Title
An Examination of the Impact of Student Characteristics and Teacher Experience and Preparation Program Attended on Student Achievement in a Small School District.
Creator
Oneal, Michael, Hines, Rebecca, Hahs-Vaughn, Debbie, Cross, Lee, Reyes-Macpherson, Maria, Hahs-Vaughn, Debbie, University of Central Florida
Abstract / Description
Demonstrating a direct link between teacher education programs and student growth is, to say the least, complex. Yet, using value-added systems as a means of holding teacher preparation programs accountable for the effectiveness of their graduates is a growing trend. However, few quantitative studies linking TPPs with the effectiveness of their graduates exist. The availability of student test scores linked to specific teachers in administrative databases makes it possible to use value-added...
Show moreDemonstrating a direct link between teacher education programs and student growth is, to say the least, complex. Yet, using value-added systems as a means of holding teacher preparation programs accountable for the effectiveness of their graduates is a growing trend. However, few quantitative studies linking TPPs with the effectiveness of their graduates exist. The availability of student test scores linked to specific teachers in administrative databases makes it possible to use value-added modeling to obtain estimates of teacher effects. Only recently have researchers tapped into this expanding volume of data in an attempt to examine Teacher Preparation Programs as variables of student achievement. This study uses methodologies developed in the early stages of the Value-Added Teacher Preparation Program Assessment Model developed in Louisiana in 2006 as a guide. Using the HLM 7.0 software package, a statistical model was developed to determine if it were feasible to conduct an analysis using data from a single small school district and whether the results of such an analysis showed an impact of student characteristics and teacher experience and preparation program on student outcomes in mathematics.
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Date Issued
2013
Identifier
CFE0004904, ucf:49678
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0004904