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Title: COMPETITIVE ACTIONS OF NEW TECHNOLOGY FIRMS: THE RED QUEEN EFFECT AND NEW FIRM PERFORMANCE.
Creator: Porter, Robert, Ford, Cameron, University of Central Florida
Abstract / Description: The competitive strategy used by a new firm may be the most important strategy it ever employs (Covin & Slevin, 1989; Ferrier, 2001). A well-chosen and executed firm strategy is essential for a firm to realize its potential competitive advantage (Porter, 1981). A firmÃ‚Â's strategic intent and resulting competitive actions are especially important when firms are new and vulnerable as they strive to learn which strategic actions help them adapt to their rivals actions and...
Show moreThe competitive strategy used by a new firm may be the most important strategy it ever employs (Covin & Slevin, 1989; Ferrier, 2001). A well-chosen and executed firm strategy is essential for a firm to realize its potential competitive advantage (Porter, 1981). A firmÃ‚Â's strategic intent and resulting competitive actions are especially important when firms are new and vulnerable as they strive to learn which strategic actions help them adapt to their rivals actions and to their environment (Stinchcombe, 1965). Further, the competitive actions that new firms choose to take with rival firms affects the overall competitive dynamics of their industry (Smith, Ferrier, and Ndofor, 2001). One way to explore how the competitive actions of new firms affect their future is to capture and examine their individual competitive moves and countermoves over time (Smith, Grimm, Gannon, & Chen, 1991). Red Queen competition is a particular form of competitive dynamics that is well-suited to explore these issues of new rival firms (Barnett, 2008). Barnett and Sorenson (2002) suggested that competition and learning reinforce one another as organizations develop, and this is what van Valen (1973) referred to as the Ã‚Â'Red Queen.Ã‚Â' This definition of the Red Queen led to the development of the concept of Red Queen competition and the Red Queen effect. The competitive strategies these new firms use to obtain resources as they adapt, in particular how these firms compete and or cooperate, are key competitive strategies that remain understudied to-date (Amit, Glosten, and Muller, 1990). I explore Red Queen competition, and the ensuing Red Queen Effect, in a complex environmental setting that represents a high technology ecosystem (Arned, 1996, 2010; Iansiti & Levien, 2004a, 2004b; Moore, 1993; Pierce, 2009). New firms in such an ecosystem represent a particularly salient combination of type of firm, firm lifecycle period, and firm environment to examine strategic actions since these firms comprise a significant portion of the high-growth and future of our global economy (Stangler, 2010). Further, due to their need to rapidly adapt in a complex ecosystem, these firms rely heavily on short-lived information resources for competitive advantage (Barney, 1991; Nelson and Winter, 1982; Omerzel, 2008). To place this research in context, I consider the moderating effects of key environmental ecosystem resource conditions (Dess & Beard, 1984; Miller & Friesen, 1983; Sharfman & Dean, 1991). Empirical studies to-date have yielded mixed results and left unanswered questions about the basic components and the effects of Red Queen competition. To address these issues I explore this literature in chapter one of the dissertation, and in chapter two I develop a theoretical model of Red Queen competition that draws on the available empirical and theoretical literature to-date. Due to the mixed finding from the empirical results, I develop a precise agent-based simulation model of Red Queen competition in chapter three to facilitate data collection. Using this data I test a series of hypotheses designed to explore the fundamentals of Red Queen competition, specifically how escalating competitive activity for resources among new firms impacts their survival and performance. In addition, the moderating effect of environmental changes on Red Queen competition is also tested to explore the affect of context on Red Queen competition. Chapter four explains the findings from these hypotheses, future research directions, implications and limitations from the research, and my concluding thoughts.
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Date Issued: 2010
Identifier: CFE0003452, ucf:48389
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0003452

Title: THE CALIBRATION, VALIDATION, AND COMPARISON OF VISSIM SIMULATIONS USING THE TWO-FLUID MODEL.
Creator: Crowe, Jeremy, Radwan, Essam, University of Central Florida
Abstract / Description: The microscopic traffic simulation program VISSIM is a powerful tool that has been used by transportation engineers and urban planners around the world. A VISSIM simulation is meant to depict the performance of the physical road network through the use of modeling tools and behavioral parameters. The process which gets the model to the point of matching real world conditions is called calibration and requires a means of relating the real world to the simulated world. The topic of this thesis...
Show moreThe microscopic traffic simulation program VISSIM is a powerful tool that has been used by transportation engineers and urban planners around the world. A VISSIM simulation is meant to depict the performance of the physical road network through the use of modeling tools and behavioral parameters. The process which gets the model to the point of matching real world conditions is called calibration and requires a means of relating the real world to the simulated world. The topic of this thesis discusses a new means of calibration using the two-fluid model. The two-fluid model is a macroscopic modeling technique which provides quantitative characteristics of the performance of traffic flow on an urban road network. The model does this by generating a relationship between the travel time, stopped time, and running time per mile. The two-fluid model has been used to evaluate the performance of road networks for decades but now it is possible to use it to calibrate a VISSIM model. For this thesis, the two-fluid model to be used for calibration was generated from data collected on the Orlando, Florida, downtown network in February, 2008, during three traffic peaks for three typical weekdays. The network was then modeled in VISSIM which required a large amount of data regarding network geometry, signal timings, signal coordination schemes, and turning movement volumes. A similar data collection exercise was conducted during November, 2008, to capture the effects of changes that took place in the network during the ten month period. Another VISSIM network was also made to match the conditions of the November network. The February field data was used to successfully calibrate the VISSIM model and the November data was used to validate the calibrated network. The validation proved that the two-fluid models from the November field data and VISSIM data are statistically similar. With the network calibrated and validated, it could be used to perform scenario tests to see how the network performance would be affected by changes to the network. The two-fluid model has often been used to compare two different physical networks or explore how the performance of a single physical network has changed over time. A similar comparison can be done with the two-fluid models from a calibrated, simulated network. By using the original calibrated models as base cases, scenarios ranging from lane closures due to traffic incidents to the addition of a whole new signalized corridor on the network can be modeled in VISSIM and compared with the corresponding base case. This would allow a governing agency to preview the effects of proposed changes.
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Date Issued: 2009
Identifier: CFE0002729, ucf:48152
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0002729

Title: DESIGN AND SIMULATION FOR ENCODED PN-OFC SAW SENSOR SYSTEMS.
Creator: Pavlina, John, Malocha, Donald, University of Central Florida
Abstract / Description: Surface acoustic wave (SAW) sensors provide versatility in that they can offer wireless, passive operation in numerous environments. Various SAW device embodiments may also be employed for retrieval of the sensed data. Single sensor systems typically use a single carrier frequency and a simple device embodiment since tagging is not required. However, it is necessary in a multi-sensor environment to both identify the sensor and retrieve the information. Overlapping sensor data signals in time...
Show moreSurface acoustic wave (SAW) sensors provide versatility in that they can offer wireless, passive operation in numerous environments. Various SAW device embodiments may also be employed for retrieval of the sensed data. Single sensor systems typically use a single carrier frequency and a simple device embodiment since tagging is not required. However, it is necessary in a multi-sensor environment to both identify the sensor and retrieve the information. Overlapping sensor data signals in time and frequency present problems when attempting to collect the sensed data at the receiver. This dissertation defines a system simulation environment exclusive to SAW sensors. The major parameters associated with a multi-device system include the transmitter, the channel, and the receiver characteristics. These characteristics are studied for implementation into the simulation environment. A coupling of modes (COM) model for SAW devices is utilized as an accurate software representation of the various SAW devices. Measured device results are presented and compared with COM model predictions to verify performance of devices and system. Several coding techniques to alleviate code collisions and detection errors were investigated and evaluated. These specialized techniques apply the use of time, frequency, and spatial diversity to the devices. Utilizing these multiple-access techniques a multi-device system is realized. An optimal system based on coding technique, frequency of operation, range, and related parameters is presented. Funding for much of this work was provided through STTR contracts from NASA Kennedy Space Center.
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Date Issued: 2010
Identifier: CFE0003124, ucf:48630
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0003124

Title: A NOVEL EXPERIMENTAL APPROACH USING A RECONFIGURABLE TEST SETUP FOR COMPLEX NONLINEAR DYNAMIC SYSTEMS.
Creator: Rank, Aaron, Yun, Hae-Bum, University of Central Florida
Abstract / Description: Experimental nonlinear dynamics is an important area of study in the modern engineering field, with engineering applications in structural dynamics, structural control, and structural health monitoring. As a result, the discipline has experienced a great influx of research efforts to develop a versatile and reliable experimental methodology. A technical challenge in many experimental studies is the procurement of a device that exhibits the desired nonlinear behavior. As a result, many...
Show moreExperimental nonlinear dynamics is an important area of study in the modern engineering field, with engineering applications in structural dynamics, structural control, and structural health monitoring. As a result, the discipline has experienced a great influx of research efforts to develop a versatile and reliable experimental methodology. A technical challenge in many experimental studies is the procurement of a device that exhibits the desired nonlinear behavior. As a result, many researchers have longed for a versatile, but accurate, testing methodology that has complete freedom to simulate a wide range of nonlinearities and stochastic behaviors. The objective of this study is to develop a reconfigurable test setup as a tool to be used in a wide range of nonlinear dynamic studies. The main components include a moving mass whose restoring force can accurately be controlled and reprogrammed (with software) based upon measured displacement and velocity readings at each time step. The device offers control over nonlinear characteristics and the equation of dynamic motion. The advantage of having such an experimental setup is the ability to simulate various types of nonlinearities with the same test setup. As a result, the data collected can be used to help validate nonlinear modeling, system identification, and stochastic analysis studies. A physical test apparatus was developed, and various mechanical, electrical, and programming calibrations were performed for reliable experimental studies. To display potential uses for the reconfigurable approach, examples are presented where the device has been used to create physical data for use in change detection and deterioration studies. In addition, a demonstration is presented of the device's ability to physically simulate a large-scale orifice viscous damper, devices commonly used for vibration mitigation in bridges and buildings. For a large-scale viscous damper, physical testing is required to ensure structural design properties. However, due to the large scale of the dampers, expensive dynamic loading tests can be carried out at a very limited number of facilities. Using the reconfigurable test setup, the dynamic signature of the large-scale viscous damper can accurately be simulated with pre-collected data. The development of a system capable of emulating the restoring force of a nonlinear device with software is a novel approach and requires further calibration for increased reliability and accuracy. A discussion regarding the challenges faced when developing the methodology is presented and possible solutions are recommended. The methodology introduced by this apparatus is very promising. The device is a valuable experimental tool for researchers and designers, allowing for physical data collection, modeling, analysis, and validation of a wide class of nonlinear phenomena that commonly occur in a wide variety of engineering applications.
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Date Issued: 2011
Identifier: CFE0003982, ucf:48654
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0003982

Title: DATA-TRUE CHARACTERIZATION OF NEURONAL MODELS.
Creator: Suarez, Jose, Behal, Aman, University of Central Florida
Abstract / Description: In this thesis, a weighted least squares approach is initially presented to estimate the parameters of an adaptive quadratic neuronal model. By casting the discontinuities in the state variables at the spiking instants as an impulse train driving the system dynamics, the neuronal output is represented as a linearly parameterized model that depends on ltered versions of the input current and the output voltage at the cell membrane. A prediction errorbased weighted least squares method is...
Show moreIn this thesis, a weighted least squares approach is initially presented to estimate the parameters of an adaptive quadratic neuronal model. By casting the discontinuities in the state variables at the spiking instants as an impulse train driving the system dynamics, the neuronal output is represented as a linearly parameterized model that depends on ltered versions of the input current and the output voltage at the cell membrane. A prediction errorbased weighted least squares method is formulated for the model. This method allows for rapid estimation of model parameters under a persistently exciting input current injection. Simulation results show the feasibility of this approach to predict multiple neuronal ring patterns. Results of the method using data from a detailed ion-channel based model showed issues that served as the basis for the more robust resonate-and- re model presented. A second method is proposed to overcome some of the issues found in the adaptive quadratic model presented. The original quadratic model is replaced by a linear resonateand- re model -with stochastic threshold- that is both computational efficient and suitable for larger network simulations. The parameter estimation method presented here consists of different stages where the set of parameters is divided in to two. The rst set of parameters is assumed to represent the subthreshold dynamics of the model, and it is estimated using a nonlinear least squares algorithm, while the second set is associated with the threshold and reset parameters as its estimated using maximum likelihood formulations. The validity of the estimation method is then tested using detailed Hodgkin-Huxley model data as well as experimental voltage recordings from rat motoneurons.
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Date Issued: 2011
Identifier: CFE0003917, ucf:48724
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0003917

Title: Combustion kinetics of advanced biofuels.
Creator: Barari, Ghazal, Vasu Sumathi, Subith, Kapat, Jayanta, Kassab, Alain, Masunov, Artem, University of Central Florida
Abstract / Description: Use of biofuels, especially in automotive applications, is a growing trend due to their potential to lower greenhouse gas emissions from combustion. Ketones are a class of biofuel candidates which are produced from cellulose. However, ketones received rather scarce attention from the combustion community compared to other classes such as, alcohols, esters, and ethers. There is little knowledge on their combustion performance and pollutant generation. Hence their combustion chemistry needs to...
Show moreUse of biofuels, especially in automotive applications, is a growing trend due to their potential to lower greenhouse gas emissions from combustion. Ketones are a class of biofuel candidates which are produced from cellulose. However, ketones received rather scarce attention from the combustion community compared to other classes such as, alcohols, esters, and ethers. There is little knowledge on their combustion performance and pollutant generation. Hence their combustion chemistry needs to be investigated in detail. Diisopropyl ketone (DIPK) is a promising biofuel candidate, which is produced using endophytic fungal conversion. A detailed understanding of the combustion kinetics of the oxidation of DIPK in advanced engines such as, the homogeneous charge compression ignition (HCCI) engine is warranted. This dissertation concentrates on the combustion kinetics of DIPK over a wide range of temperature and pressure with a focus on HCCI engine application.An existing DIPK kinetic mechanism has been reviewed and a single zone HCCI engine model has been modeled and validated against recent experimental data from Sandia National Lab. Therefore different HCCI modeling assumptions were tested and the DIPK reaction mechanism was modified with missing reactions and the required thermochemical data. As a result, the HCCI pressure trace, heat release rate and reactivity have been improved. In order to improve the ignition delay time simulation results, the low temperature oxidation of DIPK was studied as the fuel chemistry effects on the autoignition behavior becomes important in low temperature. Therefore DIPK low temperature oxidation experimental data was obtained from the synchrotron photoionization experiments conducted at the Advanced Light Source (ALS) so that the primary products as well as the dominant oxidation pathways are identified. Furthermore, the aldehydes oxidation, as a result of partial or incomplete combustion and as the primary stable intermediate products in oxidation and pyrolysis of biofuel were studied at low temperature in ALS. A high temperature reaction mechanism was created using the reaction class approach. The reaction mechanism for DIPK was improved using the experimental data along with quantum chemical calculation of activation energies and barriers as well as vibrational modes for the important reactions identified in ALS experiment. The rate constants for important reactions were calculated based on modified Arrhenius equation. DIPK oxidation and pyrolysis were studied at high temperature and pressure using UCF shock tube. The ignition delay times as well as the product (methane) time histories were investigated and used as validation targets for the new model.
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Date Issued: 2015
Identifier: CFE0005921, ucf:50847
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005921

Title: Parallel Distributed Discrete Event Simulation Optimization Using Complexity and Deep Learning.
Creator: Cortes, Edwin, Rabelo, Luis, Lee, Gene, Kincaid, John, Elshennawy, Ahmad, University of Central Florida
Abstract / Description: Parallel distributed discrete event simulation (PDDES) is the execution of a discrete event simulation on a tightly or loosely coupled computer system with multiple processors. The discrete-event simulation model is decomposed into several logical processors (LPs) or simulation objects that can be executed concurrently using partitioning types such as spatial and temporal. PDDES is exceedingly important for the reduction of the simulation time, increase of model size, intellectual property...
Show moreParallel distributed discrete event simulation (PDDES) is the execution of a discrete event simulation on a tightly or loosely coupled computer system with multiple processors. The discrete-event simulation model is decomposed into several logical processors (LPs) or simulation objects that can be executed concurrently using partitioning types such as spatial and temporal. PDDES is exceedingly important for the reduction of the simulation time, increase of model size, intellectual property issue mitigation in multi-enterprise simulations, and the sharing of resources.One of the problems with PDDES is the time management to provide flow control over event processing, the process flow, and the coordination of different logical processors to take advantage of parallelism. Time Warp (TW), Breathing Time Buckets (BTB), and Breathing Time Warp (BTW) are three time management schemes studied by this research. For a particular PDDES problem, unfortunately, there is no clear methodology to decide a priori a time management scheme to achieve higher system and simulation performance.This dissertation shows a new approach for selecting the optimal time synchronization technique class that corresponds to a particular parallel distributed anddiscrete simulation with different levels of simulation logic complexity. Simulation complexities such as branching, parallelism, function calls, concurrency, iterations, mathematical computations, messaging frequency, event processing, and number of simulation objects interactions were given a weighted parameter value based on the cognitive weight approach. Deep belief neural networks were then used to perform deep learning from the simulation complexity parameters and their corresponding optimal time synchronization scheme value as measured by speedup performance.
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Date Issued: 2015
Identifier: CFE0006211, ucf:51114
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006211

Title: Mixed Reality Experiences in the M.Ed. Educational Leadership Program: Student Perceptions.
Creator: Buckridge, Hilary, Taylor, Rosemarye, Doherty, Walter, Baldwin, Lee, Olan, Elsie, Mitchell, Paul, University of Central Florida
Abstract / Description: The purpose of the study was to ascertain the perception of students in the M.Ed. in Educational Leadership program of mixed reality experiences using TeachLivE(TM) in preparation for the challenges of school leadership. Specifically, the study analyzed the use of mixed reality virtual practice with immediate coaching and feedback in the preparation of educational leadership masters' level students before they engaged in real time communications with parents and teachers. The study...
Show moreThe purpose of the study was to ascertain the perception of students in the M.Ed. in Educational Leadership program of mixed reality experiences using TeachLivE(TM) in preparation for the challenges of school leadership. Specifically, the study analyzed the use of mixed reality virtual practice with immediate coaching and feedback in the preparation of educational leadership masters' level students before they engaged in real time communications with parents and teachers. The study encapsulates the perceptions of the master's degree in educational leadership students through the following research questions: (a) To what extent, if any, do Educational Leadership M.Ed. students believe the TeachLivE(TM) parent conference and teacher post observation conference simulation experiences to be helpful in developing their communications skills with parents and teachers? (b) To what extent, if at all, do Educational Leadership M.Ed. students believe the TeachLivE(TM) coaching feedback was helpful in developing their communications skills with parents and teachers? (c) To what extent do student reflections of the TeachLivE(TM) experience indicate it is beneficial in increasing skill in communicating with parents and teachers immediately following the mixed reality simulation? (d) To what extent do Educational Leadership M.Ed. students perceive the TeachLivE(TM) experience to be beneficial in influencing leadership behaviors as they relate to communication with parents and teachers at the end of the second semester administrative internship?Students from the college of education in a large university participated in the study (N = 141). Results show a high-perceived value of the simulation experience and the coaching and feedback in the development of administrative conferencing and communication skills. Descriptive statistics used to answer the research questions show the highest mean for the perceived value of the coaching and feedback, close to (")strongly agree("), from parent conference participants (M = 4.86), followed by teacher conference participants (M = 4.76).Responses for the simulation being beneficial from parent conference participants were also high (M = 4.71), close to (")strongly agree(") and from the teacher conference participants between agree and (")strongly agree(") (4.59). The perceptions of the simulation being realistic practice were between (")agree(") and (")strongly agree(") with parent conference were (M = 4.63) and teacher conferences (M = 4.46).The participant perceptions for the simulation being helpful in building confidence in communication skills was between (")agree(") and (")strongly agree(") for the parent conference (M = 4.41) and close to (")agree(") for the teacher conference (M = 4.14).Participant responses at the conclusion of the internship in practice indicated high value of the mixed reality simulation with mean scores between (")agree(") and (")strongly agree("), in relation to the experience was beneficial to the development of speaking confidence when conferencing with parents (M = 3.57), and the coaching feedback was helpful (M = 3.56). Responses were consistent in rating between (")agree(") and (")strongly agree(") for program continuance immediately following the simulation (M = 4.62), and after the internship (M = 3.67).Recommendations of the study were to ensure that all students have access to the authentic practice model provided by the TeachLivETM mixed reality simulation lab through identified target courses. In addition, it was recommended that more practice opportunities are integrated into the program. These additional experience should include multiple opportunities within the same target courses, as well as investigate additional course work within the Educational Leadership M.Ed. program to integrated the mixed reality simulation to practice specific leadership skills. A final recommendation of this study was to provide opportunities for students to schedule additional practice time in the lab to improve personal professional practice. These recommendations will support the continued development of administrative communication skills of Educational Leadership M.Ed. students, through accurate, realistic and complex situational practice.
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Date Issued: 2016
Identifier: CFE0006081, ucf:50950
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006081

Title: The Effect of Virtual Simulation on the Development of Basic Counseling Skills, Self-Reported Immersion Experience, Self-Reported Counselor Self-Efficacy, and Self-Reported Anxiety of Counselors-in-Training.
Creator: Uwamahoro, Olivia, Hagedorn, W. Bryce, Young, Mark, Taylor, Dalena, Boote, David, Lenz, A. Stephen, University of Central Florida
Abstract / Description: There is a high need for competent professional counselors because of the increasing number of children and adults presenting mental health concerns each year in the United States (National Institute of Mental Health, 2012). Counselor educators are tasked with the duty of preparing counselors-in-training (CITs) to be competent clinicians. In order for counseling professionals to be considered competent clinicians, they must demonstrate competence in three domains: (a) knowledge, (b) skills,...
Show moreThere is a high need for competent professional counselors because of the increasing number of children and adults presenting mental health concerns each year in the United States (National Institute of Mental Health, 2012). Counselor educators are tasked with the duty of preparing counselors-in-training (CITs) to be competent clinicians. In order for counseling professionals to be considered competent clinicians, they must demonstrate competence in three domains: (a) knowledge, (b) skills, and (c) behavior (ACA, 2014; CACREP, 2009).The goal of this study was to contribute to further understanding the most effective instructional approach to facilitating role play while instructing pre-practicum counseling students. The purpose of this study was to examine the effect of virtual simulation training on the development of basic counseling skills, the immersion experience, levels of anxiety, and levels of counselor self-efficacy (CSE) among CITs using student-to-avatar and student-to-student role play. A quasi-experimental research design was used to investigate the effect of the treatment on the constructs.The results of this study found that there was no statistically significant difference between the two groups across all four constructs. A spilt-plot analysis of variance, trend analysis, and repeated measures between factor multivariate analysis of variance were used to analyze the data. The results of this study indicated that exposure to virtual simulation training did not affect the development of basic counseling skills, immersion experience, counselor self-efficacy, and anxiety. The results also showed that virtual simulation did not hinder the development of basic counseling skills, or negatively influence immersion experience, counselor self-efficacy or anxiety.
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Date Issued: 2015
Identifier: CFE0005895, ucf:50875
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005895

Title: Gauging Training Effectiveness of Virtual Environment Simulation Based Applications for an Infantry Soldier Training Task.
Creator: Maxwell, Douglas, Kincaid, John, Shumaker, Randall, Barber, Daniel, Sottilare, Robert, University of Central Florida
Abstract / Description: The U.S. Army Training and Doctrine Command's Army Learning Concept 2015 and Army Training Concept 2025 are documents that discuss the need for an adaptive soldier learning model with a flexible training delivery methodology. The U.S. Army has been investing in serious gaming technology for the past two decades as a cost effective means to teach tactics and strategy. Today, the U.S. Army is seeking to expand its application of virtual environment training to areas such as cultural awareness...
Show moreThe U.S. Army Training and Doctrine Command's Army Learning Concept 2015 and Army Training Concept 2025 are documents that discuss the need for an adaptive soldier learning model with a flexible training delivery methodology. The U.S. Army has been investing in serious gaming technology for the past two decades as a cost effective means to teach tactics and strategy. Today, the U.S. Army is seeking to expand its application of virtual environment training to areas such as cultural awareness and human network analysis for the infantry soldier. These new expanded applications will require a higher level of non-determinant behavior inside the virtual environment. To meet more of the training needs of the war fighter, the U.S. Army is looking beyond first person perspective games to the cooperative and social gaming experience offered by the MMOG (Massively Multiplayer Online Game) and the VWT (Virtual World Technology). Altogether, these classes of games have the potential to teach leadership skills, social acclimation skills, cultural awareness and practice skills, and critical thinking skills for problem solving in a cost effective manner. Unfortunately, even today there is a paucity of scientific research to support whether this potential may be realized or not. A literature review was performed which covers current concepts in the usage of virtual environments for military individual and team training in the U.S. Army infantry soldier domains. There are many variables involved with the lifecycle of the virtual training activity including the acquisition, information assurance and cyber security, deployment, proper employment, content development and maintenance, and retirement. This discussion goes beyond the traditional topics of graphics and game engine technology and delves deeper into concepts of the importance of proper usage of the environments by the trainees. This dissertation is composed of three studies with two subject pools: experienced soldiers and novice soldiers. The participants in the studies were randomly assigned to one of two training conditions. The training conditions were either a traditional slide-show in a classroom or a virtual environment based training system. The participants were then provided with training for a room clearing tasks in each of the conditions. The independent variables are training condition and soldier condition. The dependent variables are individual performance, team performance, stress questionnaire scores, and workload questionnaire scores. A number of relationships are explored in this dissertation. The first objective of these studies is to attempt to identify any effect the training conditions have on either individual performance or team performance. Lastly, these studies attempt to identify if there is any difference the training conditions have on novice versus experienced subjects' performance during a live assessment.
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Date Issued: 2015
Identifier: CFE0005840, ucf:50924
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005840

Title: The Relationship Between DNA's Physical Properties and the DNA Molecule's Harmonic Signature, and Related Motion in Water--A Computational Investigation.
Creator: Boyer, Victor, Proctor, Michael, Thompson, William, Karwowski, Waldemar, Calloway, Richard, University of Central Florida
Abstract / Description: This research investigates through computational methods whether the physical properties of DNA contribute to its harmonic signature, the uniqueness of that signature if present, and motion of the DNA molecule in water. When DNA is solvated in water at normal 'room temperature', it experiences a natural vibration due to the Brownian motion of the particles in the water colliding with the DNA. The null hypothesis is that there is no evidence to suggest a relationship between DNA's motion and...
Show moreThis research investigates through computational methods whether the physical properties of DNA contribute to its harmonic signature, the uniqueness of that signature if present, and motion of the DNA molecule in water. When DNA is solvated in water at normal 'room temperature', it experiences a natural vibration due to the Brownian motion of the particles in the water colliding with the DNA. The null hypothesis is that there is no evidence to suggest a relationship between DNA's motion and strand length, while the alternative hypothesis is that there is evidence to suggest a relationship between DNA's vibrational motion and strand length. In a similar vein to the first hypothesis, a second hypothesis posits that DNA's vibrational motion may be dependent on strand content. The nature of this relationship, whether linear, exponential, logarithmic or non-continuous is not hypothesized by this research but will be discovered by testing if there is evidence to suggest a relationship between DNA's motion and strand length. The research also aims to discover whether the motion of DNA, when it varies by strand length and/or content, is sufficiently unique to allow that DNA to be identified in the absence of foreknowledge of the type of DNA that is present in a manner similar to a signature. If there is evidence to suggest that there is a uniqueness in DNA's vibrational motion under varying DNA strand content or length, then additional experimentation will be needed to determine whether these variances are unique across small changes as well as large changes, or large changes only. Finally, the question of whether it might be possible to identify a strand of unique DNA by base pair configuration solely from its vibrational signature, or if not, whether it might be possible to identify changes existing inside of a known DNA strand (such as a corruption, transposition or mutational error) is explored. Given the computational approach to this research, the NAMD simulation package (released by the Theoretical and Computational Biophysics Group at the University of Illinois at Urbana-Champaign) with the CHARMM force field would be the most appropriate set of tools for this investigation (Phillips et al., 2005), and will therefore be the toolset used in this research. For visualization and manipulation of model data, the VMD (Visual Molecular Dynamics) package will be employed. Further, these tools may be optimized and/or be aware of nucleic acid structures, and are free. These tools appear to be sufficient for this task, with validated fidelity of the simulation to provide vibrational and pressure profile data that could be analyzed; sufficient capabilities to do what is being asked of it; speed, so that runs can be done in a reasonable period of time (weeks versus months); and parallelizability, so that the tool could be run over a clustered network of computers dedicated to the task to increase the speed and capacity of the simulations. The computer cluster enabled analysis of 30,000 to 40,000 atom systems spending more than 410,000 CPU computational hours of hundreds of nano second duration, experimental runs each sampled 500,000 times with two-femtosecond (")frames.(")Using Fourier transforms of run pressure readings into frequencies, the simulation investigation could not reject the null hypotheses that the frequencies observed in the system runs are independent on the DNA strand length or content being studied. To be clear, frequency variations were present in the in silicon replications of the DNA in ionized solutions, but we were unable to conclude that those variations were not due to other system factors. There were several tests employed to determine alternative factors that caused these variations. Chief among the factors is the possibility that the water box itself is the source of a large amount of vibrational noise that makes it difficult or impossible with the tools that we had at our disposal to isolate any signals emitted by the DNA strands. Assuming the water-box itself was a source of large amounts of vibrational noise, an emergent hypothesis was generated and additional post-hoc testing was undertaken to attempt to isolate and then filter the water box noise from the rest of the system frequencies. With conclusive results we found that the water box is responsible for the majority of the signals being recorded, resulting in very low signal amplitudes from the DNA molecules themselves. Using these low signal amplitudes being emitted by the DNA, we could not be conclusively uniquely associate either DNA length or content with the remaining observed frequencies. A brief look at a future possible isolation technique, wavelet analysis, was conducted. Finally, because these results are dependent on the tools at our disposal and hence by no means conclusive, suggestions for future research to expand on and further test these hypothesis are made in the final chapter.
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Date Issued: 2015
Identifier: CFE0005930, ucf:50835
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005930

Title: Design and Optimization of Superjunction Vertical DMOS Power Transistors using Sentaurus Device Simulation.
Creator: Mendoza Macias, Raul, Yuan, Jiann-Shiun, Sundaram, Kalpathy, Fan, Deliang, University of Central Florida
Abstract / Description: Vertical double-diffused metal oxide semiconductor (VDMOS) power transistor has been studied. The use of superjunction (SJ) in the drift region of VDMOS has been evaluated using three-dimensional device simulation. All relevant physical models in Sentaurus are turned on. The VDMOS device doping profile is obtained from process simulation. The superjunction VDMOS performance in off-state breakdown voltage and specific on-resistance is compared with that in conventional VDMOS structure. In...
Show moreVertical double-diffused metal oxide semiconductor (VDMOS) power transistor has been studied. The use of superjunction (SJ) in the drift region of VDMOS has been evaluated using three-dimensional device simulation. All relevant physical models in Sentaurus are turned on. The VDMOS device doping profile is obtained from process simulation. The superjunction VDMOS performance in off-state breakdown voltage and specific on-resistance is compared with that in conventional VDMOS structure. In addition, electrical parameters such as threshold voltage and charge balance are also examined. Increasing the superjunction doping in the drift region of VDMOS reduces the on-resistance by 26%, while maintaining the same breakdown voltage and threshold voltage compared to that of the conventional VDMOS power transistor with similar device design without using a superjunction.
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Date Issued: 2016
Identifier: CFE0006354, ucf:51525
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006354

Title: Cognitive Flexibility: Using Mental Simulation to Improve Script Adaptation.
Creator: Rivera, Javier, Jentsch, Florian, Shumaker, Randall, Lackey, Stephanie, Sims, Valerie, University of Central Florida
Abstract / Description: Human behavior and decision-making depend largely on past experiences that generate specific action patterns (i.e., scripts, Gioia (&) Manz, 1985) for specific situations. In an ideal world, in which changes in the environment do not conflict with these action patterns, humans would be able to operate consistently, efficiently, and automatically. However, real-world environments are dynamic and fluid, thus altering behavior and forcing changes in scripts. Research suggests that to implement...
Show moreHuman behavior and decision-making depend largely on past experiences that generate specific action patterns (i.e., scripts, Gioia (&) Manz, 1985) for specific situations. In an ideal world, in which changes in the environment do not conflict with these action patterns, humans would be able to operate consistently, efficiently, and automatically. However, real-world environments are dynamic and fluid, thus altering behavior and forcing changes in scripts. Research suggests that to implement alternate solutions to changing situations, humans select from a (")library(") of learned scripts. Since humans tend to implement scripts to the degree that these are successful over a period of time, implementing alternate scripts can be difficult. That is, unless one has the cognitive flexibility to adapt scripts, implementing a new solution to a problem can be difficult and/or unsuccessful. Cognitive flexibility allows one to restructure knowledge to form an adaptive response to changes set forth by the environment. At issue is the difference between possessing a repertoire of scripts that can be selected and implemented to solve a problem, and having the cognitive flexibility to effectively switch between scripts when a change in context occurs. The purpose of this dissertation is to: (a) evaluate the effectiveness of possessing alternate scripts to respond to situations, and (b) assess the effectiveness of cognitive flexibility training on the ability to switch between scripts. The ultimate goal is to improve mental flexibility in situations where a specific approach should be revised and adjusted to conform to changes in context. A total of 48 participants were randomly assigned to one of four conditions in a 2 (number of scripts) x 2 (training present or absent) design: (a) single script, (b) single script and cognitive flexibility training, (c) two scripts, and (d) two scripts and cognitive flexibility training. Participants either learned one script or two scripts on how to respond to a car engine overheat. In addition, depending on the study condition, participants completed a cognitive flexibility training that used a mental simulation approach. The cognitive flexibility training was intended to allow participants to imagine a number of different scenarios that may impact that task, evaluate assumptions, check assumptions against the situation, imagine a response to such scenarios, and review the effectiveness of the developed solutions. The results of this research suggested that for situations requiring a change or an adaptation to an alternate script, possessing two scripts facilitated correct decision-making, whereas cognitive flexibility training may have hindered decision-making. In addition, for situations requiring a standard script, possessing two scripts was detrimental to decision-making performance, regardless of cognitive flexibility training. Theoretical implications in terms of script-processing and cognitive flexibility, as well as practical implications for training design are provided.
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Date Issued: 2016
Identifier: CFE0006381, ucf:51528
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006381

Title: Analysis of pedestrian safety using micro-simulation and driving simulator.
Creator: Wu, Jiawei, Radwan, Essam, Abdel-Aty, Mohamed, Abou-Senna, Hatem, University of Central Florida
Abstract / Description: In recent years, traffic agencies have begun to place emphasis on the importance of pedestrian safety. In the United States, nearly 70,000 pedestrians were reported injured in 2015. Although the number only account for 3% of all the people injured in traffic crashes, the number of pedestrian fatalities is still around 15% of total traffic fatalities. Furthermore, the state of Florida has consistently ranked as one of the worst states in terms of pedestrian crashes, injuries and fatalities....
Show moreIn recent years, traffic agencies have begun to place emphasis on the importance of pedestrian safety. In the United States, nearly 70,000 pedestrians were reported injured in 2015. Although the number only account for 3% of all the people injured in traffic crashes, the number of pedestrian fatalities is still around 15% of total traffic fatalities. Furthermore, the state of Florida has consistently ranked as one of the worst states in terms of pedestrian crashes, injuries and fatalities. Therefore, it is befitting to focus on the pedestrian safety. This dissertation mainly focused on pedestrian safety at both midblock crossings and intersections by using micro-simulation and driving simulator. First, this study examined if the micro-simulation models (VISSIM and SSAM) could estimate pedestrian-vehicle conflicts at signalized intersections. A total of 42 video-hours were recorded at seven signalized intersections for field data collection. The observed conflicts from the field were used to calibrate VISSIM and replicate the conflicts. The calibrated and validated VISSIM model generated the pedestrian-vehicle conflicts from SSAM software using the vehicle trajectory data in VISSIM. The mean absolute percent error (MAPE) was used to determine the optimum TTC and PET thresholds for pedestrian-vehicle conflicts and linear regression analysis was used to study the correlation between the observed and simulated conflicts at the established thresholds. The results indicated the highest correlation between the simulated and observed conflicts when the TTC parameter was set at 2.7 and the PET was set at 8. Second, the driving simulator experiment was designed to assess pedestrian safety under different potential risk factors at both midblock crossings and intersections. Four potential risk factors were selected and 67 subjects participated in this experiment. In order to analyze pedestrian safety, the surrogate safety measures were examined to evaluate these pedestrian-vehicle conflicts. Third, by using the driving simulator data from the midblock crossing scenario, typical examples of drivers' deceleration rate and the distance to crosswalk were summarized, which exhibited a clear drivers' avoidance pattern during the vehicle pedestrian conflicts. This pattern was summarized into four stages, including the brake response stage, the deceleration adjustment stage, the maximum deceleration stage, and the brake release stage. In addition, the pedestrian-vehicle conflict prediction model was built to predict the minimum distance between vehicle and pedestrian.Finally, this study summarized the three different kinds of data that were to evaluate the pedestrian safety, including field data, simulation data, and driving simulator data. The process of combining of field data, simulation data, and simulator data was proposed. The process would show how the researches could evaluate the pedestrian safety by using the field observations, micro-simulation, and driving simulator.
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Date Issued: 2017
Identifier: CFE0006822, ucf:51770
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006822

Title: Modeling of flow generated sound in a constricted duct at low Mach number.
Creator: Thibbotuwawa Gamage, Peshala, Mansy, Hansen, Kassab, Alain, Bhattacharya, Samik, University of Central Florida
Abstract / Description: Modelling flow and acoustics in a constricted duct at low Mach numbers is important for investigating many physiological phenomena such as phonation, generation of arterial murmurs, and pulmonary conditions involving airway obstruction. The objective of this study is to validate computational fluid dynamics (CFD) and computational aero-acoustics (CAA) simulations in a constricted tube at low Mach numbers. Different turbulence models were employed to simulate the flow field. Models included...
Show moreModelling flow and acoustics in a constricted duct at low Mach numbers is important for investigating many physiological phenomena such as phonation, generation of arterial murmurs, and pulmonary conditions involving airway obstruction. The objective of this study is to validate computational fluid dynamics (CFD) and computational aero-acoustics (CAA) simulations in a constricted tube at low Mach numbers. Different turbulence models were employed to simulate the flow field. Models included Reynolds Average Navier-Stokes (RANS), Detached eddy simulation (DES) and Large eddy simulation (LES). The models were validated by comparing study results with laser doppler anemometry (LDA) velocity measurements. The comparison showed that experimental data agreed best with the LES model results. Although RANS Reynolds stress transport (RST) model showed good agreement with mean velocity measurements, it was unable to capture velocity fluctuations. RANS shear stress transport (SST) k-? model and DES models were unable to predict the location of high fluctuating flow region accurately.CAA simulation was performed in parallel with LES using Acoustic Perturbation Equation (APE) based hybrid CAA method. CAA simulation results agreed well with measured wall sound pressure spectra. The APE acoustic sources were found in jet core breakdown region downstream of the constriction, which was also characterized by high flow fluctuations. Proper Orthogonal Decomposition (POD) is used to study the coherent flow structures at the different frequencies corresponding to the peaks of the measured sound pressure spectra. The study results will help enhance our understanding of sound generation mechanisms in constricted tubes including biomedical applications.
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Date Issued: 2017
Identifier: CFE0006920, ucf:51696
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006920

Title: Effects of Mixed-reality Peer Interactions on Workplace Problem-solving of Individuals with Intellectual Disabilities.
Creator: Bukaty, Caitlyn, Dieker, Lisa, Marino, Matthew, Hines, Rebecca, Kohler, Paula, University of Central Florida
Abstract / Description: Individuals with intellectual disabilities (ID) are known to have deficits in problem-solving skills within the realm of social communication, which may pose a barrier to employment (Livermore (&) Goodman, 2009). The ability to provide appropriate verbal responses is critical to success in an inclusive workplace for people with ID (Alber, Heward, (&) Hippler, 1999). Foley and colleagues (2013) found individuals with ID with strong communication skills were more likely to be engaged in...
Show moreIndividuals with intellectual disabilities (ID) are known to have deficits in problem-solving skills within the realm of social communication, which may pose a barrier to employment (Livermore (&) Goodman, 2009). The ability to provide appropriate verbal responses is critical to success in an inclusive workplace for people with ID (Alber, Heward, (&) Hippler, 1999). Foley and colleagues (2013) found individuals with ID with strong communication skills were more likely to be engaged in independent employment than peers with weak communication skills. Furthermore, the Workforce Innovation and Opportunity Act (WIOA; 2014) mandated improved access to inclusive employment opportunities for people with disabilities. However, social communication for the workplace is a seldom addressed skill (Langford, 2013; Matsumoto (&) Hwang, 2013b).In an attempt to contribute to the research base surrounding workplace communication skills for individuals with ID the researcher conducted an experimental group design study to examine the effects of mixed-reality virtual peer interactions on workplace problem-solving. The Innovative Facilitation of Requisite Communication Skills for Employment (In-FORCE) intervention consisted of four 5-minute interactions with a virtual avatar playing the role of a peer in the TLE TeachLivE(TM) (TLE) virtual environment. Each participant in the treatment group completed the intervention. During interactions participants discussed workplace problem scenarios with the peer avatar, and received coaching and feedback from the avatar. Scenarios were based on a soft skills curriculum from the U.S. DOL (n.d.) and were validated by experts in the field of entry level employment. Problem-solving achievement was measured using a checklist. Checklist data were analyzed between pretest and posttest based on group assignment using a repeated measures analysis of variance (ANOVA) with one factor between.The results of the analysis indicated positive change between pretest and posttest for individual members of the treatment group, but the results were not statistically significant. A possible reason for this lack of significance is the minimal amount of time participants spent engaged in the intervention. The 20 minutes total intervention time was advantageous as it (1) required participants to spend minimal time away from regular daily activities; (2) controlled the emotional impact of the interactions, as 5 minutes in a simulator has been found to have to the emotional equivalence of 30 minutes of human interaction (Dieker, Hynes, Hughes, (&) Smith, 2008); and (3) it allowed the intervention to be delivered at the cost of $40 per participant. Despite controlling for time in this study, more time engaged in the intervention may have led to more noticeable results. Building upon potential changes and future implications the researcher discusses the findings, implications for problem-solving and employment skills training, and the reconceptualization of research practices for individuals with ID.
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Date Issued: 2016
Identifier: CFE0006272, ucf:51050
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006272

Title: Large Eddy Simulations with a Tabulated Conditional Moment Closure Moment Closure Model for Turbulent Premixed Combustion with Heat Loss.
Creator: Velez, Carlos, Vasu Sumathi, Subith, Martin, Scott, Kassab, Alain, Das, Tuhin, University of Central Florida
Abstract / Description: The Tabulated Premixed Conditional Moment Closure (T-PCMC) method has been shown to provide the capability to predict turbulent, premixed methane flames with detailed chemistry and reasonable run times in a RANS/URANS adiabatic environment. Here the premixed T-PCMC method is extended in a Large Eddy Simulation (LES) framework for non-adiabatic premixed flames, allowing heat loss to occur in the mixture before, during and after combustion. It is proposed that the LES framework is a more...
Show moreThe Tabulated Premixed Conditional Moment Closure (T-PCMC) method has been shown to provide the capability to predict turbulent, premixed methane flames with detailed chemistry and reasonable run times in a RANS/URANS adiabatic environment. Here the premixed T-PCMC method is extended in a Large Eddy Simulation (LES) framework for non-adiabatic premixed flames, allowing heat loss to occur in the mixture before, during and after combustion. It is proposed that the LES framework is a more suitable representation for both chemical and turbulent scales in premixed combustion. By resolving the high energy turbulent scales and modeling the small scale turbulence, it is expected that the resolution of the turbulence and transient effects are better captured in a LES framework leading to better predictions of the mixing rate and consequently the reaction rate, which is the main focus and source of error in combustion modeling. The LES T-PCMC model is implemented using the open source CFD software OpenFOAM for its open access to C++ source code and large library of turbulence and thermo-physical models. The proposed model validated with PIV and Raman measurements of a turbulent, enclosed reacting flame of a single jet and backward facing step geometry. The DLR data sets provide both unity (E.g.Methane) and non-unity (E.g. Hydrogen) Lewis number fuels, allowing for the proposed numerical model to be validated against both unity and non-unity Lewis # flames. Velocity, temperature and major/minor species are compared to the experimental data. Once validated, this model is intended to be useful for designing lean premixed combustors for gas turbines which operate primarily in the corrugated premixed combustion regime, where chemical and turbulent time scales are of the same order requiring adequate models for their interaction.LES results match the experimental data better than the Reynolds Averaged Navier-Stokes (RANS/URANS) solution and is able to better resolve the transient features of the flame with an increase in run time of only 50 %, when compared to URANS.
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Date Issued: 2015
Identifier: CFE0006234, ucf:51058
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006234

Title: Investigating Simulation-Based Pattern Recognition Training For Behavior Cue Detection.
Creator: Maraj, Crystal, Lackey, Stephanie, Kincaid, John, Shumaker, Randall, Keebler, Joseph, University of Central Florida
Abstract / Description: The U.S. military uses pattern recognition training to observe anomalies in human behavior. An examination of the pattern recognition training literature for Warfighters reveals a gap in training to discern patterns of human behavior in live environments. Additionally, the current state of warfare is evolving and requires operations to change. As a result, pattern recognition training must accommodate new practices to improve performance. A technique used to improve memory for identifying...
Show moreThe U.S. military uses pattern recognition training to observe anomalies in human behavior. An examination of the pattern recognition training literature for Warfighters reveals a gap in training to discern patterns of human behavior in live environments. Additionally, the current state of warfare is evolving and requires operations to change. As a result, pattern recognition training must accommodate new practices to improve performance. A technique used to improve memory for identifying patterns in the environment is Kim's game. Kim's game establishes patterns to identify inanimate objects, of which information retains in memory for later recall. The paper discusses the fundamental principles of Kim's game applied to virtual Simulation-Based Training. The virtual version of Kim's game contains customized scenarios for training behavior cue analysis. Virtual agents display kinesic cues that exhibit aggressive (i.e., slap hands and clench fist) and nervous behaviors including wring hands and check six. This research takes a novel approach by animating the kinesics cues in the virtual version of Kim's game for pattern recognition training. Detection accuracy, response time, and false positive detection serve as the performance data for analysis. Additional survey data collected include engagement, flow, and simulator sickness. All collected data was compared to a control condition to examine its effectiveness of behavior cue detection. A series of one-way between subjects design ANOVA's were conducted to examine the differences between Kim's game and control on post-test performance. Although, the results from this experiment showed no significance in post-test performance, the percent change in post-test performance provide further insight into the results of the Kim's game and control strategies. Specifically, participants in the control condition performed better than the Kim's game group on detection accuracy and response time. However, the Kim's game group outperformed the control group on false positive detection. Further, this experiment explored the differences in Engagement, Flow, and Simulator Sickness after the practice scenario between Kim's game group and the control group. The results found no significant difference in Engagement, partial significance for Flow, and significant difference for Simulator Sickness between the Kim's game and control group after the practice scenario. Next, a series of Spearman's rank correlations were conducted to assess the relationships between Engagement, Flow, Simulator Sickness, and post-test performance, as well as examine the relationship between working memory and training performance; resulting in meaningful correlations to explain the relationships and identifying new concepts to explain unrelated variables. Finally, the role of Engagement, Flow, and Simulator Sickness as a predictor of post-test performance was examined using a series of multiple linear regressions. The results highlighted Simulator Sickness as a significant predictor of post-test performance. Overall, the results from this experiment proposes to expand the body of pattern recognition training literature by identifying strategies that enhance behavior cue detection training. Furthermore, it provides recommendations to training and education communities for improving behavior cue analysis. ?
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Date Issued: 2015
Identifier: CFE0005659, ucf:50166
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005659

Title: Neurophenomenological Methods: Experiences of Earth and Space in Simulation.
Creator: Morrow, Patricia, Reinerman, Lauren, Cash, Mason, Janz, Bruce, Gallagher, Shaun, University of Central Florida
Abstract / Description: The present study explores the nature and structure of spiritual and aesthetic experiences through the interdisciplinary application of neurophenomenology (NP). This approach merges aspects of psychology, neurophysiology, and phenomenology into a unified methodology. The study is nested within a larger project, Space, Science, and Spirituality, and as such, it carries a common goal to use simulation to evoke spiritual and aesthetic responses similar to those expressed by astronauts and...
Show moreThe present study explores the nature and structure of spiritual and aesthetic experiences through the interdisciplinary application of neurophenomenology (NP). This approach merges aspects of psychology, neurophysiology, and phenomenology into a unified methodology. The study is nested within a larger project, Space, Science, and Spirituality, and as such, it carries a common goal to use simulation to evoke spiritual and aesthetic responses similar to those expressed by astronauts and cosmonauts. Careful analysis of previous work in NP provided methodological (")lessons learned("), which guided the experimental design, execution, and analysis of the present study. The data collected provides support for experience as a phenomenon that can be studied through empirical means. Further, the articulation of spiritual and aesthetic experiences akin to astronaut experiences corresponds to specific neurological and psychological indicators. Among those indicators are differences in EEG measures during simulation time relative to expressions of spiritual experience following the simulation and changes in visual processing across theta, alpha, and beta signals as correlated with self-identification. These findings support an embodied theory of experience that incorporates memory, executive function, perception, and consciousness. In addition to its academic contribution, this research holds implications for commercial space flight, long-term space missions, post-traumatic stress disorder therapies, and the entertainment industry.
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Date Issued: 2013
Identifier: CFE0005035, ucf:50018
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005035

Title: Examining Preservice Teachers' Performances and Pedagogies of Practice in an Urban Classroom Through the Use of a Simulated Learning Environment.
Creator: Jennings, Kelly, Szente, Judit, Hopp, Carolyn, Englehart, Deirdre, Dieker, Lisa, Hartle, Lynn, University of Central Florida
Abstract / Description: The failure to staff the nation's classrooms with highly qualified teachers, especially those in disadvantaged schools, is a problem in American education. Novice teachers who begin teaching in urban, low-income, diverse schools leave the field of education at alarmingly high rates. Schools are not being provided with the teachers they deserve; new teachers are especially ill-prepared to meet the needs of students in high-need urban settings. In return, these low-income schools are not...
Show moreThe failure to staff the nation's classrooms with highly qualified teachers, especially those in disadvantaged schools, is a problem in American education. Novice teachers who begin teaching in urban, low-income, diverse schools leave the field of education at alarmingly high rates. Schools are not being provided with the teachers they deserve; new teachers are especially ill-prepared to meet the needs of students in high-need urban settings. In return, these low-income schools are not retaining sufficient numbers of the teachers they do recruit. A teacher's performance has a tremendous impact on a child's learning and academic journey. Teacher preparation programs need to increase effectiveness by preparing teachers who perform at a proficient level or higher from the first day they step foot in the classroom. Preservice teachers must have an understanding of how to teach effectively through the use of pedagogical knowledge and culture. Universities can assist prospective teachers to simultaneously learn content and pedagogy through training. The revolving door of teachers leaving impoverished communities must stop. Students are not in warrant of substitute teachers, unqualified or uncertified novice teachers year after year. Teacher preparation programs have a vital role in shaping initial levels of teacher commitment. One way to build this bridge between preparation of teachers for urban or diverse settings is to consider new options for teacher preparation. While teacher preparation programs can offer theories and pedagogies of practice, the use of a virtual reality (VR) environment permits teacher preparation to provide preservice teachers with varied experiences in order to prepare them for a high-need urban setting. This fully immersive environment could allow preservice teachers to create an environment that best supports the needs of their learners, strengthening knowledge gained in coursework to examination in the field. A traditional teacher preparation program cannot offer this understanding of pedagogy in a consistent and constant format. It is the obligation of schools and colleges of education to improve teacher education programs. Universities need to prepare culturally responsive educators who can effectively perform in the urban classroom. The purpose of this study was to examine the impact a simulated learning environment had on preservice teachers' classroom performances as measured by onsite and virtual observations. Pedagogies of practice are described through categories of personal connections, life experiences, engagement and assessment of prior knowledge as demonstrated in reflective writing of preservice teachers who participated in a simulated learning environment versus those who did not. The researcher proposed the use of a VR to provide an expanded view to preservice teacher preparation within a simulated classroom. It was hypothesized this scaffolding of learning beyond typical textbook learning would deepen the knowledge of the preservice teacher, leading to effective performance within a high-need urban setting. A mixed-methods approach of the embedded experimental design was used for collection of both qualitative and quantitative data. The Chi-square Test of Independence, supported by Fisher's Exact Test and Cramer's V used to analyze data measured on a nominal scale for the experimental group and control groups. Data analysis showed a significant difference in teacher indicators in three of the four observations. Specifically the preservice teachers (experimental group) who participated in the simulated learning environment related and integrated the subject matter with other disciplines and life experiences and reviewed previous class material before instruction more often than the control group. Key words in context (KWIC), word count and content analysis were used to identify themes through language as demonstrated in the reflective writing. Underlying patterns were used to form relationships between performance in the urban classroom after participation in a simulated learning environment, followed by reflective writing in the categories of personal connections, life experiences, engagement and assessment of prior knowledge. The preservice teachers in both the experimental and control groups exhibited many of the teacher behaviors needed in a high-need urban setting through their reflective writing. However, the intervention of TeachLivE(TM) continued to be an outlier, which not only strengthened the preservice teachers' reflections but performance in the classroom. The simulated learning environment offered the preservice teachers in the experimental group a medium to learn through doing. Exposure to the tools and methods in TeachLivE(TM), followed by reflective writing, provided opportunities to improve pedagogies of practice, impacting preservice teacher's performances in the urban setting. Future research recommendations based on continued observations to gather further data of the study, improvement of performance over time, and an expanded observational group are presented. Academic achievement of the students in the participant's classrooms who took part in TeachLivE(TM) in order to analyze whether the variable of TeachLivE(TM) impacted preservice teacher performance in the urban classroom could be measured. Finally, faculty mentors at the university could design professional development opportunities for novice teachers in TeachLivE(TM), assisting in coaching and self-reflection of lessons taught, working towards understanding of content and pedagogy. Reflection afterward would be collaborative between novice teachers and faculty mentors based on observations. Scaffolding novice teachers learning while in a simulated environment can be motivating and effective in learning gains.
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Date Issued: 2014
Identifier: CFE0005187, ucf:50617
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005187

simulation (47)	+ -
Simulation (43)	+ -
modeling (10)	+ -
System Dynamics (8)	+ -
Driving Simulator (7)	+ -

VISSIM (7)	+ -
training (7)	+ -
Modeling (6)	+ -
virtual reality (5)	+ -
Heat Transfer (4)	+ -
Modeling and Simulation (4)	+ -
Numerical Simulation (4)	+ -
Training (4)	+ -
driving simulator (4)	+ -
modeling and simulation (4)	+ -
simulations (4)	+ -
Discrete Event Simulation (3)	+ -
Performance (3)	+ -
Presence (3)	+ -
Simulator (3)	+ -
Traffic Safety (3)	+ -
Traffic Simulation (3)	+ -
Virtual Environment (3)	+ -
discrete event simulation (3)	+ -
interoperability (3)	+ -
learning (3)	+ -
traffic safety (3)	+ -
video games (3)	+ -
workload (3)	+ -
Agent Based Simulation (2)	+ -

ETD Collection (268)	+ -
Honors Collection (11)	+ -

English (278)	+ -
Engilsh (1)	+ -

University of Central Florida (273)	+ -
Kincaid, John (30)	+ -
Proctor, Michael (20)	+ -
Rabelo, Luis (18)	+ -
Radwan, Essam (16)	+ -

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