View All Items
(481 - 500 of 535)
Pages
- Title
- Pedestrian Safety Analysis through Effective Exposure Measures and Examination of Injury Severity.
- Creator
-
Shah, Md Imran, Abdel-Aty, Mohamed, Eluru, Naveen, Lee, JaeYoung, University of Central Florida
- Abstract / Description
-
Pedestrians are considered the most vulnerable road users who are directly exposed to traffic crashes. In 2014, there were 4,884 pedestrians killed and 65,000 injured in the United States. Pedestrian safety is a growing concern in the development of sustainable transportation system. But often it is found that safety analysis suffers from lack of accurate pedestrian trip information. In such cases, determining effective exposure measures is the most appropriate safety analysis approach. Also...
Show morePedestrians are considered the most vulnerable road users who are directly exposed to traffic crashes. In 2014, there were 4,884 pedestrians killed and 65,000 injured in the United States. Pedestrian safety is a growing concern in the development of sustainable transportation system. But often it is found that safety analysis suffers from lack of accurate pedestrian trip information. In such cases, determining effective exposure measures is the most appropriate safety analysis approach. Also it is very important to clearly understand the relationship between pedestrian injury severity and the factors contributing to higher injury severity. Accurate safety analysis can play a vital role in the development of appropriate safety countermeasures and policies for pedestrians.Since pedestrian volume data is the most important information in safety analysis but rarely available, the first part of the study aims at identifying surrogate measures for pedestrian exposure at intersections. A two-step process is implemented: the first step is the development of Tobit and Generalized Linear Models for predicting pedestrian trips (i.e., exposure models). In the second step, Negative Binomial and Zero Inflated Negative Binomial crash models were developed using the predicted pedestrian trips. The results indicate that among various exposure models the Tobit model performs the best in describing pedestrian exposure. The identified exposure relevant factors are the presence of schools, car-ownership, pavement condition, sidewalk width, bus ridership, intersection control type and presence of sidewalk barrier. The t-test and Wilcoxon signed-rank test results show that there is no significant difference between the observed and the predicted pedestrian trips. The process implemented can help in estimating reliable safety performance functions even when pedestrian trip data is unavailable.The second part of the study focuses on analyzing pedestrian injury severity for the nine counties in Central Florida. The study region covers the Orlando area which has the second-worst pedestrian death rate in the country. Since the dependent variable 'Injury' is ordinal, an 'Ordered Logit' model was developed to identify the factors of pedestrian injury severity. The explanatory variables can be classified as pedestrian/driver characteristics (e.g., age, gender, etc.), roadway traffic and geometric conditions (e.g.: shoulder presence, roadway speed etc.) and crash environment (e.g., light, road surface, work zone, etc.) characteristics. The results show that drug/alcohol involvement, pedestrians in a hurry, roadway speed limit 40 mph or more, dark condition (lighted and unlighted) and presence of elder pedestrians are the primary contributing factors of severe pedestrian crashes in Central Florida. Crashes within the presence of intersections and local roads result in lower injury severity. The area under the ROC (Receiver Operating Characteristic) curve has a value of 0.75 that indicates the model performs reasonably well. Finally the study validated the model using k-fold cross validation method. The results could be useful for transportation officials for further pedestrian safety analysis and taking the appropriate safety interventions.Walking is cost-effective, environmentally friendly and possesses significant health benefits. In order to get these benefits from walking, the most important task is to ensure safer roads for pedestrians.
Show less - Date Issued
- 2017
- Identifier
- CFE0006656, ucf:51224
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006656
- Title
- Exploration and development of crash modification factors and functions for single and multiple treatments.
- Creator
-
Park, Juneyoung, Abdel-Aty, Mohamed, Radwan, Essam, Eluru, Naveen, Wang, Chung-Ching, Lee, JaeYoung, University of Central Florida
- Abstract / Description
-
Traffic safety is a major concern for the public, and it is an important component of the roadway management strategy. In order to improve highway safety, extensive efforts have been made by researchers, transportation engineers, Federal, State, and local government officials. With these consistent efforts, both fatality and injury rates from road traffic crashes in the United States have been steadily declining over the last six years (2006~2011). However, according to the National Highway...
Show moreTraffic safety is a major concern for the public, and it is an important component of the roadway management strategy. In order to improve highway safety, extensive efforts have been made by researchers, transportation engineers, Federal, State, and local government officials. With these consistent efforts, both fatality and injury rates from road traffic crashes in the United States have been steadily declining over the last six years (2006~2011). However, according to the National Highway Traffic Safety Administration (NHTSA, 2013), 33,561 people died in motor vehicle traffic crashes in the United States in 2012, compared to 32,479 in 2011, and it is the first increase in fatalities since 2005. Moreover, in 2012, an estimated 2.36 million people were injured in motor vehicle traffic crashes, compared to 2.22 million in 2011. Due to the demand of highway safety improvements through systematic analysis of specific roadway cross-section elements and treatments, the Highway Safety Manual (HSM) (AASHTO, 2010) was developed by the Transportation Research Board (TRB) to introduce a science-based technical approach for safety analysis. One of the main parts in the HSM, Part D, contains crash modification factors (CMFs) for various treatments on roadway segments and at intersections. A CMF is a factor that can estimate potential changes in crash frequency as a result of implementing a specific treatment (or countermeasure). CMFs in Part D have been developed using high-quality observational before-after studies that account for the regression to the mean threat. Observational before-after studies are the most common methods for evaluating safety effectiveness and calculating CMFs of specific roadway treatments. Moreover, cross-sectional method has commonly been used to derive CMFs since it is easier to collect the data compared to before-after methods.Although various CMFs have been calculated and introduced in the HSM, still there are critical limitations that are required to be investigated. First, the HSM provides various CMFs for single treatments, but not CMFs for multiple treatments to roadway segments. The HSM suggests that CMFs are multiplied to estimate the combined safety effects of single treatments. However, the HSM cautions that the multiplication of the CMFs may over- or under-estimate combined effects of multiple treatments. In this dissertation, several methodologies are proposed to estimate more reliable combined safety effects in both observational before-after studies and the cross-sectional method. Averaging two best combining methods is suggested to use to account for the effects of over- or under- estimation. Moreover, it is recommended to develop adjustment factor and function (i.e. weighting factor and function) to apply to estimate more accurate safety performance in assessing safety effects of multiple treatments. The multivariate adaptive regression splines (MARS) modeling is proposed to avoid the over-estimation problem through consideration of interaction impacts between variables in this dissertation. Second, the variation of CMFs with different roadway characteristics among treated sites over time is ignored because the CMF is a fixed value that represents the overall safety effect of the treatment for all treated sites for specific time periods. Recently, few studies developed crash modification functions (CMFunctions) to overcome this limitation. However, although previous studies assessed the effect of a specific single variable such as AADT on the CMFs, there is a lack of prior studies on the variation in the safety effects of treated sites with different multiple roadway characteristics over time. In this study, adopting various multivariate linear and nonlinear modeling techniques is suggested to develop CMFunctions. Multiple linear regression modeling can be utilized to consider different multiple roadway characteristics. To reflect nonlinearity of predictors, a regression model with nonlinearizing link function needs to be developed. The Bayesian approach can also be adopted due to its strength to avoid the problem of over fitting that occurs when the number of observations is limited and the number of variables is large. Moreover, two data mining techniques (i.e. gradient boosting and MARS) are suggested to use 1) to achieve better performance of CMFunctions with consideration of variable importance, and 2) to reflect both nonlinear trend of predictors and interaction impacts between variables at the same time. Third, the nonlinearity of variables in the cross-sectional method is not discussed in the HSM. Generally, the cross-sectional method is also known as safety performance functions (SPFs) and generalized linear model (GLM) is applied to estimate SPFs. However, the estimated CMFs from GLM cannot account for the nonlinear effect of the treatment since the coefficients in the GLM are assumed to be fixed. In this dissertation, applications of using generalized nonlinear model (GNM) and MARS in the cross-sectional method are proposed. In GNMs, the nonlinear effects of independent variables to crash analysis can be captured by the development of nonlinearizing link function. Moreover, the MARS accommodate nonlinearity of independent variables and interaction effects for complex data structures. In this dissertation, the CMFs and CMFunctions are estimated for various single and combination of treatments for different roadway types (e.g. rural two-lane, rural multi-lane roadways, urban arterials, freeways, etc.) as below:1) Treatments for mainline of roadway: - adding a thru lane, conversion of 4-lane undivided roadways to 3-lane with two-way left turn lane (TWLTL)2) Treatments for roadway shoulder: - installing shoulder rumble strips, widening shoulder width, adding bike lanes, changing bike lane width, installing roadside barriers3) Treatments related to roadside features: - decrease density of driveways, decrease density of roadside poles, increase distance to roadside poles, increase distance to trees Expected contributions of this study are to 1) suggest approaches to estimate more reliable safety effects of multiple treatments, 2) propose methodologies to develop CMFunctions to assess the variation of CMFs with different characteristics among treated sites, and 3) recommend applications of using GNM and MARS to simultaneously consider the interaction impact of more than one variables and nonlinearity of predictors.Finally, potential relevant applications beyond the scope of this research but worth investigation in the future are discussed in this dissertation.
Show less - Date Issued
- 2015
- Identifier
- CFE0005861, ucf:50914
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005861
- Title
- Predictive Modeling of Functional Materials for Catalytic and Sensor Applications.
- Creator
-
Rawal, Takat, Rahman, Talat, Chang, Zenghu, Leuenberger, Michael, Zou, Shengli, University of Central Florida
- Abstract / Description
-
The research conducted in my dissertation focuses on theoretical and computational studies of the electronic and geometrical structures, and the catalytic and optical properties of functional materials in the form of nano-structures, extended surfaces, two-dimensional systems and hybrid structures. The fundamental aspect of my research is to predict nanomaterial properties through ab-initio calculations using methods such as quantum mechanical density functional theory (DFT) and kinetic Monte...
Show moreThe research conducted in my dissertation focuses on theoretical and computational studies of the electronic and geometrical structures, and the catalytic and optical properties of functional materials in the form of nano-structures, extended surfaces, two-dimensional systems and hybrid structures. The fundamental aspect of my research is to predict nanomaterial properties through ab-initio calculations using methods such as quantum mechanical density functional theory (DFT) and kinetic Monte Carlo simulation, which help rationalize experimental observations, and ultimately lead to the rational design of materials for the electronic and energy-related applications. Focusing on the popular single-layer MoS2, I first show how its hybrid structure with 29-atom transition metal nanoparticles (M29 where M=Cu, Ag, and Au) can lead to composite catalysts suitable for oxidation reactions. Interestingly, the effect is found to be most pronounced for Au29 when MoS2 is defect-laden (S vacancy row). Second, I show that defect-laden MoS2 can be functionalized either by deposited Au nanoparticles or when supported on Cu(111) to serve as a cost-effective catalyst for methanol synthesis via CO hydrogenation reactions. The charge transfer and electronic structural changes in these sub systems lead to the presence of 'frontier' states near the Fermi level, making the systems catalytically active. Next, in the emerging area of single metal atom catalysis, I provide rationale for the viability of single Pd sites stabilized on ZnO(101 ?0) as the active sites for methanol partial oxidation, an important reaction for the production of H2. We trace its excellent activity to the modified electronic structure of the single Pd site as well as neighboring Zn cationic sites. With the DFT-calculated activation energy barriers for a large set of reactions, we perform ab-initio kMC simulations to determine the selectivity of the products (CO2 and H2). These findings offer an opportunity for maximizing the efficiency of precious metal atoms, and optimizing their activity and selectivity (for desired products). In related work on extended surfaces while trying to explain the Scanning Tunneling Microscopy images observed by our experimental collaborators, I discovered a new mechanism involved in the process of Ag vacancy formation on Ag(110), in the presence of O atoms which leads to the reconstruction and eventually oxidation of the Ag surface. In a similar vein, I was able to propose a mechanism for the orange photoluminescence (PL), observed by our experimental collaborators, of a coupled system of benzylpiperazine (BZP) molecule and iodine on a copper surface. Our results show that the adsorbed BZP and iodine play complimentary roles in producing the PL in the visible range. Upon photo-excitation of the BZP-I/CuI(111) system, excited electrons are transferred into the conduction band (CB) of CuI, and holes are trapped by the adatoms. The relaxation of holes into BZP HOMO is facilitated by its realignment. Relaxed holes subsequently recombine with excited electrons in the CB of the CuI film, thus producing a luminescence peak at ~2.1 eV. These results can be useful for forensic applications in detecting illicit substances.
Show less - Date Issued
- 2017
- Identifier
- CFE0006783, ucf:51813
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006783
- Title
- Biophysical Sources of 1/f Noises in Neurological Systems.
- Creator
-
Paris, Alan, Vosoughi, Azadeh, Atia, George, Wiegand, Rudolf, Douglas, Pamela, Berman, Steven, University of Central Florida
- Abstract / Description
-
High levels of random noise are a defining characteristic of neurological signals at all levels, from individual neurons up to electroencephalograms (EEG). These random signals degrade the performance of many methods of neuroengineering and medical neuroscience. Understanding this noise also is essential for applications such as real-time brain-computer interfaces (BCIs), which must make accurate control decisions from very short data epochs. The major type of neurological noise is of the so...
Show moreHigh levels of random noise are a defining characteristic of neurological signals at all levels, from individual neurons up to electroencephalograms (EEG). These random signals degrade the performance of many methods of neuroengineering and medical neuroscience. Understanding this noise also is essential for applications such as real-time brain-computer interfaces (BCIs), which must make accurate control decisions from very short data epochs. The major type of neurological noise is of the so-called 1/f-type, whose origins and statistical nature has remained unexplained for decades. This research provides the first simple explanation of 1/f-type neurological noise based on biophysical fundamentals. In addition, noise models derived from this theory provide validated algorithm performance improvements over alternatives.Specifically, this research defines a new class of formal latent-variable stochastic processes called hidden quantum models (HQMs) which clarify the theoretical foundations of ion channel signal processing. HQMs are based on quantum state processes which formalize time-dependent observation. They allow the quantum-based calculation of channel conductance autocovariance functions, essential for frequency-domain signal processing. HQMs based on a particular type of observation protocol called independent activated measurements are shown to be distributionally equivalent to hidden Markov models yet without an underlying physical Markov process. Since the formal Markov processes are non-physical, the theory of activated measurement allows merging energy-based Eyring rate theories of ion channel behavior with the more common phenomenological Markov kinetic schemes to form energy-modulated quantum channels. These unique biophysical concepts developed to understand the mechanisms of ion channel kinetics have the potential of revolutionizing our understanding of neurological computation.To apply this theory, the simplest quantum channel model consistent with neuronal membrane voltage-clamp experiments is used to derive the activation eigenenergies for the Hodgkin-Huxley K+ and Na+ ion channels. It is shown that maximizing entropy under constrained activation energy yields noise spectral densities approximating S(f) = 1/f, thus offering a biophysical explanation for this ubiquitous noise component. These new channel-based noise processes are called generalized van der Ziel-McWhorter (GVZM) power spectral densities (PSDs). This is the only known EEG noise model that has a small, fixed number of parameters, matches recorded EEG PSD's with high accuracy from 0 Hz to over 30 Hz without infinities, and has approximately 1/f behavior in the mid-frequencies. In addition to the theoretical derivation of the noise statistics from ion channel stochastic processes, the GVZM model is validated in two ways. First, a class of mixed autoregressive models is presented which simulate brain background noise and whose periodograms are proven to be asymptotic to the GVZM PSD. Second, it is shown that pairwise comparisons of GVZM-based algorithms, using real EEG data from a publicly-available data set, exhibit statistically significant accuracy improvement over two well-known and widely-used steady-state visual evoked potential (SSVEP) estimators.
Show less - Date Issued
- 2016
- Identifier
- CFE0006485, ucf:51418
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006485
- Title
- An Investigation of Low Performing Central Florida Teacher Evaluation Feedback and Improvement Plans as Related to Value-Added Model Scores and Instructional Practice Scores.
- Creator
-
Butler, Tara, Murray, Barbara, Doherty, Walter, Murray, Kenneth, Baldwin, Lee, Hutchinson, Cynthia, University of Central Florida
- Abstract / Description
-
The purpose of this study was to determine if low performing Central Florida teachers, according to Florida VAM scores, had related instructional practice evaluations that were being used to determine placement on improvement plans in the 2013-14 school year. Additionally, the feedback held within the instructional practice evaluations was analyzed to discover the levels of feedback most frequently rendered by administrative evaluators to the lowest performing teachers. Deidentified data from...
Show moreThe purpose of this study was to determine if low performing Central Florida teachers, according to Florida VAM scores, had related instructional practice evaluations that were being used to determine placement on improvement plans in the 2013-14 school year. Additionally, the feedback held within the instructional practice evaluations was analyzed to discover the levels of feedback most frequently rendered by administrative evaluators to the lowest performing teachers. Deidentified data from a population of 528 Central Florida teacher evaluations and improvement plans within the lowest 10% of VAM scores for the 2013-14 school year were gathered from a Florida Department of Education database and public record requests. Data were analyzed to determine if any significant relationship existed between VAM scores and instructional practice scores. A very weak relationship existed between these two variables. Tenured teachers were rated significantly more favorably on summative instructional practice evaluations than nontenured teachers. Within the population, fewer than 1% of low-performing teachers (two total) were prescribed an improvement plan, regardless of tenure or nontenure status. Finally, evaluation feedback was largely low-level without reference to student growth or achievement. Evidence of administrative barriers within the three dimensions of individual conflict avoidance, bureaucratic procedural interferences, and administrative procedural faults were inferred from the literature and subsequent findings. To improve upon the current evaluation system, administrators must be aware of, and well-prepared for the demands of evaluating, remediating, and providing feedback to teaching professionals relative to student achievement and growth in a manner that is simultaneously respectful, candid, fair, timely, and actionable.
Show less - Date Issued
- 2017
- Identifier
- CFE0006937, ucf:51677
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006937
- Title
- Examining Multiple Approaches for the Transferability of Safety Performance Functions.
- Creator
-
Farid, Ahmed Tarek Ahmed, Abdel-Aty, Mohamed, Lee, JaeYoung, Eluru, Naveen, University of Central Florida
- Abstract / Description
-
Safety performance functions (SPFs) are essential in road safety since they are used to predict crash frequencies. They are commonly applied for detecting hot spots in network screening and assessing whether road safety countermeasures are effective. In the Highway Safety Manual (HSM), SPFs are provided for several crash classifications for several types of roadway facilities. The SPFs of the HSM are developed using data from multiple states. In regions where jurisdiction specific SPFs are...
Show moreSafety performance functions (SPFs) are essential in road safety since they are used to predict crash frequencies. They are commonly applied for detecting hot spots in network screening and assessing whether road safety countermeasures are effective. In the Highway Safety Manual (HSM), SPFs are provided for several crash classifications for several types of roadway facilities. The SPFs of the HSM are developed using data from multiple states. In regions where jurisdiction specific SPFs are not available, it is custom to adopt nationwide SPFs for crash predictions then apply a calibration factor. Yet, the research is limited regarding the application of national SPFs for local jurisdictions. In this study, the topic of transferability is explored by examining rural multilane highway SPFs from Florida, Ohio, and California. That is for both divided segments and intersections. Traffic, road geometrics and crash data from the three states are collected to develop one-state, two-state and three-state SPFs. The SPFs are negative binomial models taking the form of those of the HSM. Evaluation of the transferability of models is undertaken by calculating a measure known as the transfer index. It is used to explain which SPFs may be transferred tolerably to other jurisdictions. According to the results, the transferability of rural divided segments' SPFs of Florida to California and vice versa is superior to that of Ohio's SPFs. For four-leg signalized intersections, neither state's models are transferable to any state. Also, the transfer index indicates improved transferability when using pooled data from multiple states. Furthermore, a modified version of the Empirical Bayes method that is responsible for segment specific adjustment factors is proposed as an alternative to the HSM calibration method. It is used to adjust crash frequencies predicted by the SPFs being transferred to the jurisdiction of interest. The modified method, proposed, outperforms the HSM calibration method as per the analysis results.
Show less - Date Issued
- 2015
- Identifier
- CFE0006298, ucf:51604
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006298
- Title
- Investigating The Relationship Between Adverse Events and Infrastructure Development in an Active War Theater Using Soft Computing Techniques.
- Creator
-
Cakit, Erman, Karwowski, Waldemar, Lee, Gene, Thompson, William, Mikusinski, Piotr, University of Central Florida
- Abstract / Description
-
The military recently recognized the importance of taking sociocultural factors into consideration. Therefore, Human Social Culture Behavior (HSCB) modeling has been getting much attention in current and future operational requirements to successfully understand the effects of social and cultural factors on human behavior. There are different kinds of modeling approaches to the data that are being used in this field and so far none of them has been widely accepted. HSCB modeling needs the...
Show moreThe military recently recognized the importance of taking sociocultural factors into consideration. Therefore, Human Social Culture Behavior (HSCB) modeling has been getting much attention in current and future operational requirements to successfully understand the effects of social and cultural factors on human behavior. There are different kinds of modeling approaches to the data that are being used in this field and so far none of them has been widely accepted. HSCB modeling needs the capability to represent complex, ill-defined, and imprecise concepts, and soft computing modeling can deal with these concepts. There is currently no study on the use of any computational methodology for representing the relationship between adverse events and infrastructure development investments in an active war theater. This study investigates the relationship between adverse events and infrastructure development projects in an active war theater using soft computing techniques including fuzzy inference systems (FIS), artificial neural networks (ANNs), and adaptive neuro-fuzzy inference systems (ANFIS) that directly benefits from their accuracy in prediction applications. Fourteen developmental and economic improvement project types were selected based on allocated budget values and a number of projects at different time periods, urban and rural population density, and total adverse event numbers at previous month selected as independent variables. A total of four outputs reflecting the adverse events in terms of the number of people killed, wounded, hijacked, and total number of adverse events has been estimated. For each model, the data was grouped for training and testing as follows: years between 2004 and 2009 (for training purpose) and year 2010 (for testing). Ninety-six different models were developed and investigated for Afghanistan and the country was divided into seven regions for analysis purposes. Performance of each model was investigated and compared to all other models with the calculated mean absolute error (MAE) values and the prediction accuracy within (&)#177;1 error range (difference between actual and predicted value). Furthermore, sensitivity analysis was performed to determine the effects of input values on dependent variables and to rank the top ten input parameters in order of importance.According to the the results obtained, it was concluded that the ANNs, FIS, and ANFIS are useful modeling techniques for predicting the number of adverse events based on historical development or economic projects' data. When the model accuracy was calculated based on the MAE for each of the models, the ANN had better predictive accuracy than FIS and ANFIS models in general as demonstrated by experimental results. The percentages of prediction accuracy with values found within (&)#177;1 error range around 90%. The sensitivity analysis results show that the importance of economic development projects varies based on the regions, population density, and occurrence of adverse events in Afghanistan. For the purpose of allocating resources and development of regions, the results can be summarized by examining the relationship between adverse events and infrastructure development in an active war theater; emphasis was on predicting the occurrence of events and assessing the potential impact of regional infrastructure development efforts on reducing number of such events.
Show less - Date Issued
- 2013
- Identifier
- CFE0004826, ucf:49757
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0004826
- Title
- Effects of a Mathematics Graphic Organizer and Virtual Video Modeling on the Word Problem Solving Abilities of Students with Disabilities.
- Creator
-
Delisio, Lauren, Dieker, Lisa, Vasquez, Eleazar, Hines, Rebecca, Dixon, Juli, University of Central Florida
- Abstract / Description
-
Over the last decade, the inclusion of students with disabilities (SWD) in the general education classroom has increased. Currently, 60% of SWD spend 80% or more of their school day in the general education classroom (U.S. Department of Education, 2013). This includes students with autism spectrum disorders (ASD), a developmental disability characterized by impairments in behavior, language, and social skills (American Psychological Association, 2013). Many of these SWD struggle with...
Show moreOver the last decade, the inclusion of students with disabilities (SWD) in the general education classroom has increased. Currently, 60% of SWD spend 80% or more of their school day in the general education classroom (U.S. Department of Education, 2013). This includes students with autism spectrum disorders (ASD), a developmental disability characterized by impairments in behavior, language, and social skills (American Psychological Association, 2013). Many of these SWD struggle with mathematics in the elementary grades; fewer than 20% of SWD are proficient in mathematics when they begin middle school, compared to 45% of their peers without disabilities. Furthermore, 83% of SWD are performing at the basic or below basic level in mathematics in the fourth grade (U.S. Department of Education, 2013). As the rate of ASD continues to increase (Centers for Disease Control, 2013), the number of students with this disability who are included in the general education classroom also continues to rise. These SWD and students with ASD are expected to meet the same rigorous mathematics standards as their peers without disabilities. This study was an attempt to address the unique needs of SWD and students with ASD by combining practices rooted in the literature, strategy instruction and video modeling.The purpose of this study was to determine the effects of an intervention on the ability of students with and without disabilities in inclusive fourth and fifth grade classrooms to solve word problems in mathematics. The intervention package was comprised of a graphic organizer, the K-N-W-S, video models of the researcher teaching the strategy to a student avatar from a virtual simulated classroom, TeachLivE, and daily word problems for students to practice the strategy. The researcher used a quasi-experimental group design with a treatment and a control group to determine the impact of the intervention. Students were assessed on their performance via a pretest and posttest. Analyses of data were conducted on individual test items to assess patterns in performance by mathematical word problem type.The effects of the intervention on SWD, students with ASD, and students without disabilities varied widely between groups as well as amongst individual students, indicating a need for further studies on the effects of mathematics strategy instruction on students with varying needs and abilities.
Show less - Date Issued
- 2015
- Identifier
- CFE0005782, ucf:50065
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005782
- Title
- Modeling and Spray Pyrolysis Processing of Mixed Metal Oxide Nano-Composite Gas Sensor Films.
- Creator
-
Khatami, Seyed Mohammad Navid, Ilegbusi, Olusegun, Deng, Weiwei, Kassab, Alain, Coffey, Kevin, Divo, Eduardo, University of Central Florida
- Abstract / Description
-
The role of sensor technology is obvious in improvement and optimization of many industrial processes. The sensor films, which are considered the core of chemical sensors, have the capability to detect the presence and concentration of a specific chemical substance. Such sensor films achieve selectivity by detecting the interaction of the specific chemical substance with the sensor material through selective binding, adsorption and permeation of analyte. This research focuses on development...
Show moreThe role of sensor technology is obvious in improvement and optimization of many industrial processes. The sensor films, which are considered the core of chemical sensors, have the capability to detect the presence and concentration of a specific chemical substance. Such sensor films achieve selectivity by detecting the interaction of the specific chemical substance with the sensor material through selective binding, adsorption and permeation of analyte. This research focuses on development and verification of a comprehensive mathematical model of mixed metal oxide thin film growth using spray pyrolysis technique (SPT). An experimental setup is used to synthesize mixed metal oxide films on a heated substrate. The films are analyzed using a variety of characterization tools. The results are used to validate the mathematical model. There are three main stages to achieve this goal: 1) A Lagrangian-Eulerian method is applied to develop a CFD model of atomizing multi-component solution. The model predicts droplet characteristics in flight, such as spatial distribution of droplet size and concentration. 2) Upon reaching the droplets on the substrate, a mathematical model of multi-phase transport and chemical reaction phenomena in a single droplet is developed and used to predict the deposition of thin film. The various stages of droplet morphology associated with surface energy and evaporation are predicted. 3) The processed films are characterized for morphology and chemical composition (SEM, XPS) and the data are used to validate the models as well as investigate the influence of process parameters on the structural characteristics of mixed metal oxide films. The structural characteristics are investigated of nano structured thin films comprising of ZnO, SnO2, ZnO+In2O3 and SnO2+In2O3 composites. The model adequately predicts the size distribution and film thickness when the nanocrystals are well-structured at the controlled temperature and concentration.
Show less - Date Issued
- 2014
- Identifier
- CFE0005817, ucf:50048
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005817
- Title
- The development of an eco-gastronomic tourism (EGT) supply chain-Analyzing linkages between farmer, restaurants, and tourists in Aruba.
- Creator
-
Kock, Marcelino, Hara, Tadayuki, Dickson, Duncan, Murphy, Kevin, Beverly, Monifa, Muller, Christopher, University of Central Florida
- Abstract / Description
-
Purpose of this study is to holistically analyze existing linkages between Aruba's tourism industry, restaurants and local farmers, by examining strategies that constrain the development of linkages between these stakeholders. Previous research indicated that tourism development is often accompanied with increased demand for imported food, which results in foreign exchange leakages, inflation and competition with local production. This phenomenon is very common in the Caribbean, where Aruba,...
Show morePurpose of this study is to holistically analyze existing linkages between Aruba's tourism industry, restaurants and local farmers, by examining strategies that constrain the development of linkages between these stakeholders. Previous research indicated that tourism development is often accompanied with increased demand for imported food, which results in foreign exchange leakages, inflation and competition with local production. This phenomenon is very common in the Caribbean, where Aruba, with its heavy reliance on imported goods and services, is no exception to this occurrence. To comprehend potential problems associated with linking both sectors, these in-depth case study addresses three fundamental questions: a) what is the structure of supply and demand of food for the tourism industry of Aruba?, and b) what factors constrain the development of linkages between international tourism and Aruba's local agriculture? Using an exploratory and stochastic methodological approach, data will be obtained from structured surveys from three different stakeholders in the food supply chain of Aruba. Anticipated findings illustrate that the existing linkage between the tourism industry and agriculture in Aruba is still weak, yet the food consumption and preferences by tourists can contribute in enhancing an eco-gastronomic tourism supply chain.
Show less - Date Issued
- 2013
- Identifier
- CFE0005016, ucf:50015
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005016
- Title
- Applying Problem-of-Practice Methods from the Discipline of Higher Education within the Justice System: Turning the Concept of Therapy Dogs for Child Victims into a Statewide Initiative.
- Creator
-
Holton, Jessie, Hopp, Carolyn, Vitale, Thomas, Williams-Fjeldhe, Karri, Mustaine, Elizabeth, University of Central Florida
- Abstract / Description
-
This Dissertation-in-Practice introduces a law enforcement concept-to-practice model designed by combining tested methods of organizational analysis often utilized by those in the discipline of education. The model incorporates a two phase design with the first phase focusing on implementing and evaluating innovative changes within a medium size law enforcement agency for a micro-level analysis. A second phase examines the ability to replicate the concept program on a statewide, macro-level,...
Show moreThis Dissertation-in-Practice introduces a law enforcement concept-to-practice model designed by combining tested methods of organizational analysis often utilized by those in the discipline of education. The model incorporates a two phase design with the first phase focusing on implementing and evaluating innovative changes within a medium size law enforcement agency for a micro-level analysis. A second phase examines the ability to replicate the concept program on a statewide, macro-level, by incorporating a re-design method utilizing organizational resource and structure frames. The concept applied to this model was the introduction of a therapy dog interaction during investigations involving crimes against children to reduce anxiety and increase communication. The first phase concluded that the introduction of therapy dogs during law enforcement investigations had a statistical significance in the reduction of anxiety and increased disclosure rates with child victims, without interfering with judicial policies and procedures. The second phase produced a series of flexible options allowing law enforcement agencies of all types to replicate therapy dog programs that are consistent, cost effective, and sustainable. The overall results indicate the use of this concept-to-practice model was successful in examining and introducing an innovative concept that provided a significant impact in the complex organizations of the justice system.
Show less - Date Issued
- 2015
- Identifier
- CFE0005807, ucf:50029
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005807
- Title
- Design and Implementation Plan for the "I Am Potential" Financial Literacy Education Program.
- Creator
-
Louis, Tureka, Hopp, Carolyn, Robinson, Edward, Vitale, Thomas, Hayes, Burnice, University of Central Florida
- Abstract / Description
-
ABSTRACTThis Financial Literacy Program Model is a proposed solution to the problem of financial illiteracy among the working poor. Over 80 percent of adults in America are not financially literate, yet more than half believe themselves to be (OECD, 2005). No community is more adversely affected by this fallacy than the working poor. Earning income, yet living below the poverty line, this group is as deceived as any other by the misconception that increased income is their sole remedy rather...
Show moreABSTRACTThis Financial Literacy Program Model is a proposed solution to the problem of financial illiteracy among the working poor. Over 80 percent of adults in America are not financially literate, yet more than half believe themselves to be (OECD, 2005). No community is more adversely affected by this fallacy than the working poor. Earning income, yet living below the poverty line, this group is as deceived as any other by the misconception that increased income is their sole remedy rather than a small part of the complex equation greatly influenced by financial literacy. Drawing upon a review of related literature, observation of a successful program, and interviews, three barriers to financial literacy education are presented and addressed in this program's design. 1) Overblown financial self-efficacy spawns the popular belief held by most financially illiterate individuals that they are financially literate (OECD, 2005). 2) Lack of differentiation is prevalent. Existing programs cover basic financial topics with a one size fits all approach. 3) Although attrition rates are high, there are few motivational interventions in place within currently existing programs. These obstacles combined with the unique set of circumstances faced by the working poor exacerbate financial illiteracy and its related issues. This program was designed as part of the I Am Potential, Inc initiative (IAP) (-) an effort to assist individuals who desire to enhance their lives. In particular, IAP targets underserved communities. The (")I Am Potential(") Financial Literacy Program Model and Implementation Plan addresses these issues through instructional design with pre- and post-treatment financial self efficacy and motivation assessments along with differential instructional delivery methods, including a variety of modes and durations available for a distinctive learner population. Themodel accommodates the subsequent addition of coursework for enhancement in other life domains.
Show less - Date Issued
- 2014
- Identifier
- CFE0005203, ucf:50620
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005203
- Title
- Quantifying Trust and Reputation for Defense against Adversaries in Multi-Channel Dynamic Spectrum Access Networks.
- Creator
-
Bhattacharjee, Shameek, Chatterjee, Mainak, Guha, Ratan, Zou, Changchun, Turgut, Damla, Catbas, Necati, University of Central Florida
- Abstract / Description
-
Dynamic spectrum access enabled by cognitive radio networks are envisioned to drivethe next generation wireless networks that can increase spectrum utility by opportunisticallyaccessing unused spectrum. Due to the policy constraint that there could be no interferenceto the primary (licensed) users, secondary cognitive radios have to continuously sense forprimary transmissions. Typically, sensing reports from multiple cognitive radios are fusedas stand-alone observations are prone to errors...
Show moreDynamic spectrum access enabled by cognitive radio networks are envisioned to drivethe next generation wireless networks that can increase spectrum utility by opportunisticallyaccessing unused spectrum. Due to the policy constraint that there could be no interferenceto the primary (licensed) users, secondary cognitive radios have to continuously sense forprimary transmissions. Typically, sensing reports from multiple cognitive radios are fusedas stand-alone observations are prone to errors due to wireless channel characteristics. Suchdependence on cooperative spectrum sensing is vulnerable to attacks such as SecondarySpectrum Data Falsification (SSDF) attacks when multiple malicious or selfish radios falsifythe spectrum reports. Hence, there is a need to quantify the trustworthiness of radios thatshare spectrum sensing reports and devise malicious node identification and robust fusionschemes that would lead to correct inference about spectrum usage.In this work, we propose an anomaly monitoring technique that can effectively cap-ture anomalies in the spectrum sensing reports shared by individual cognitive radios duringcooperative spectrum sensing in a multi-channel distributed network. Such anomalies areused as evidence to compute the trustworthiness of a radio by its neighbours. The proposedanomaly monitoring technique works for any density of malicious nodes and for any physicalenvironment. We propose an optimistic trust heuristic for a system with a normal risk attitude and show that it can be approximated as a beta distribution. For a more conservativesystem, we propose a multinomial Dirichlet distribution based conservative trust framework,where Josang's Belief model is used to resolve any uncertainty in information that mightarise during anomaly monitoring. Using a machine learning approach, we identify maliciousnodes with a high degree of certainty regardless of their aggressiveness and variations intro-duced by the pathloss environment. We also propose extensions to the anomaly monitoringtechnique that facilitate learning about strategies employed by malicious nodes and alsoutilize the misleading information they provide. We also devise strategies to defend against a collaborative SSDF attack that islaunched by a coalition of selfish nodes. Since, defense against such collaborative attacks isdifficult with popularly used voting based inference models or node centric isolation techniques, we propose a channel centric Bayesian inference approach that indicates how much the collective decision on a channels occupancy inference can be trusted. Based on the measured observations over time, we estimate the parameters of the hypothesis of anomalous andnon-anomalous events using a multinomial Bayesian based inference. We quantitatively define the trustworthiness of a channel inference as the difference between the posterior beliefsassociated with anomalous and non-anomalous events. The posterior beliefs are updated based on a weighted average of the prior information on the belief itself and the recently observed data.Subsequently, we propose robust fusion models which utilize the trusts of the nodes to improve the accuracy of the cooperative spectrum sensing decisions. In particular, we propose three fusion models: (i) optimistic trust based fusion, (ii) conservative trust based fusion, and (iii) inversion based fusion. The former two approaches exclude untrustworthy sensing reports for fusion, while the last approach utilizes misleading information. Allschemes are analyzed under various attack strategies. We propose an asymmetric weightedmoving average based trust management scheme that quickly identifies on-off SSDF attacks and prevents quick trust redemption when such nodes revert back to temporal honest behavior. We also provide insights on what attack strategies are more effective from the adversaries' perspective.Through extensive simulation experiments we show that the trust models are effective in identifying malicious nodes with a high degree of certainty under variety of network and radio conditions. We show high true negative detection rates even when multiple malicious nodes launch collaborative attacks which is an improvement over existing voting based exclusion and entropy divergence techniques. We also show that we are able to improve the accuracy of fusion decisions compared to other popular fusion techniques. Trust based fusion schemes show worst case decision error rates of 5% while inversion based fusion show 4% as opposed majority voting schemes that have 18% error rate. We also show that the proposed channel centric Bayesian inference based trust model is able to distinguish between attacked and non-attacked channels for both static and dynamic collaborative attacks. We are also able to show that attacked channels have significantly lower trust values than channels that are not(-) a metric that can be used by nodes to rank the quality of inference on channels.
Show less - Date Issued
- 2015
- Identifier
- CFE0005764, ucf:50081
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005764
- Title
- Constructing and Validating an Integrative Economic Model of Health Care Systems and Health Care Markets: A Comparative Analysis of OECD Countries.
- Creator
-
Helligso, Jesse, Wan, Thomas, Liu, Albert Xinliang, King, Christian, Hamann, Kerstin, University of Central Florida
- Abstract / Description
-
This dissertation argues that there are three basic types of health care systems used in industrial nations: free market (private insurance and provision), universal (public insurance and private provision), and socialized (public insurance and provision). It examines the role of market forces (supply and demand) within the health care systems and their effects on health outcomes by constructing an integrative model of health care markets and policies that is lacking within the scientific and...
Show moreThis dissertation argues that there are three basic types of health care systems used in industrial nations: free market (private insurance and provision), universal (public insurance and private provision), and socialized (public insurance and provision). It examines the role of market forces (supply and demand) within the health care systems and their effects on health outcomes by constructing an integrative model of health care markets and policies that is lacking within the scientific and academic literature. The results show that, free market systems have decreased access to care, good quality of care, and are economically inefficient resulting in 2.7 years of life expectancy lost and wasted expenditures (expenditures that do not increase life expectancy) of $3474 per capita ($1.12 trillion per year in the U.S.). Socialized systems are the most economically efficient systems but have decreased access to care compared to universal systems, increased access to care compared to free market systems and have the lowest quality of care of all three systems resulting in 3 months of life expectancy lost per capita and a saving of $335 per capita. Universal systems perform better than either of the other 2 systems based on quality and access to care. The models show that health insurance is a Giffen Good; a good that defies the law of demand. This study is the first fully demonstrated case of a Giffen good. This investigation shows how the theoretically informed integrative model behaves as predicted and influences health outcomes contingent upon the system type. To test and substantiate this integrative model, regression analysis, Time-Series-Cross-Section analysis, and structural equation modeling were performed using longitudinal data provided and standardized by the Organization for Economic Cooperation and Development (OECD). The results demonstrate that universal health care systems are superior to the other two systems.
Show less - Date Issued
- 2018
- Identifier
- CFE0007335, ucf:52114
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0007335
- Title
- The Continuing Anglican Metamorphosis: Introducing the Adapted Integrated Model.
- Creator
-
L'Hommedieu, John, Gay, David, Grauerholz, Elizabeth, Carter, Shannon, University of Central Florida
- Abstract / Description
-
The purpose of this thesis is to develop and test the Advanced Integrated Model, a typological model in the tradition of Weber's interpretive sociology, as an asset in explaining recent transformations in American Episcopal-Anglican organizations. The study includes an assessment of the church-sect tradition in the sociology of religion and a summary overview of Weber's interpretive sociology with special emphasis on the nature and construction of ideal-types and their use in analysis. To...
Show moreThe purpose of this thesis is to develop and test the Advanced Integrated Model, a typological model in the tradition of Weber's interpretive sociology, as an asset in explaining recent transformations in American Episcopal-Anglican organizations. The study includes an assessment of the church-sect tradition in the sociology of religion and a summary overview of Weber's interpretive sociology with special emphasis on the nature and construction of ideal-types and their use in analysis. To illustrate the effectiveness of the model a number of institutional rivalries confronting contemporary Episcopal-Anglican organizations are identified and shown to be explainable only from a sociological perspective and not simply as (")in house(") institutional problems. The present work sheds light on parent-child conflicts in religious organizations and reopens discussion about the theoretical value of ideal-types in general, and church-sect typologies in particular, when utilized from a comparative-historical perspective.
Show less - Date Issued
- 2012
- Identifier
- CFE0004565, ucf:49209
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0004565
- Title
- An Integrated Hydrodynamic-Marsh Model with Applications in Fluvial, Marine, and Mixed Estuarine Systems.
- Creator
-
Alizad, Karim, Hagen, Scott, Medeiros, Stephen, Wang, Dingbao, Weishampel, John, University of Central Florida
- Abstract / Description
-
Coastal wetlands experience fluctuating productivity when subjected to various stressors. One of the most impactful stressors is sea level rise (SLR) associated with global warming. Research has shown that under SLR, salt marshes may not have time to establish an equilibrium with sea level and may migrate landward or become open water. Salt marsh systems play an important role in the coastal ecosystem by providing intertidal habitats and food for birds, fish, crabs, mussels, and other animals...
Show moreCoastal wetlands experience fluctuating productivity when subjected to various stressors. One of the most impactful stressors is sea level rise (SLR) associated with global warming. Research has shown that under SLR, salt marshes may not have time to establish an equilibrium with sea level and may migrate landward or become open water. Salt marsh systems play an important role in the coastal ecosystem by providing intertidal habitats and food for birds, fish, crabs, mussels, and other animals. They also protect shorelines by dissipating flow and damping wave energy through an increase in drag forces. Due to the serious consequences of losing coastal wetlands, evaluating the potential future changes in their structure and distribution is necessary in order for coastal resource managers to make informed decisions. The objective of this study was to develop a spatially-explicit model by connecting a hydrodynamic model and a parametric marsh model and using it to assess the dynamic effects of SLR on salt marsh systems within three National Estuarine Research Reserves (NERRs) in the Northern Gulf of Mexico. Coastal salt marsh systems are an excellent example of complex interrelations between physics and biology, and the resulting benefits to humanity. In order to investigate salt marsh productivity under projected SLR scenarios, a depth integrated hydrodynamic model was coupled to a parametric marsh model to capture the dynamic feedback loop between physics and biology. The hydrodynamic model calculates mean high water (MHW) and mean low water (MLW) within the river and tidal creeks by harmonic analysis of computed tidal constituents. The responses of MHW and MLW to SLR are nonlinear due to localized changes in the salt marsh platform elevation and biomass productivity (which influences bottom friction). Spatially-varying MHW and MLW are utilized in a two-dimensional application of the parametric Marsh Equilibrium Model to capture the effects of the hydrodynamics on biomass productivity and salt marsh accretion, where accretion rates are dependent on the spatial distribution of sediment deposition in the marsh. This model accounts both organic (decomposition of in-situ biomass) and inorganic (allochthonous) marsh platform accretion and the effects of spatial and temporal biomass density changes on tidal flows. The coupled hydro-marsh model, herein referred to as HYDRO-MEM, leverages an optimized coupling time step at which the two models exchange information and update the solution to capture the system's response to projected linear and non-linear SLR rates.Including accurate marsh table elevations into the model is crucial to obtain meaningful biomass productivity projections. A lidar-derived Digital Elevation Model (DEM) was corrected by incorporating Real Time Kinematic (RTK) surveying elevation data. Additionally, salt marshes continually adapt in an effort to reach an equilibrium within the ideal range of relative SLR and depth of inundation. The inputs to the model, specifically topography and bottom roughness coefficient, are updated using the biomass productivity results at each coupling time step to capture the interaction between the marsh and hydrodynamic models.The coupled model was tested and validated in the Timucuan marsh system, located in northeastern Florida by computing projected biomass productivity and marsh platform elevation under two SLR scenarios. The HYDRO-MEM model coupling protocol was assessed using a sensitivity study of the influence of coupling time step on the biomass productivity results with a comparison to results generated using the MEM approach only. Subsequently, the dynamic effects of SLR were investigated on salt marsh productivity within the three National Estuarine Research Reserves (NERRs) (Apalachicola, FL, Grand Bay, MS, and Weeks Bay, AL) in the Northern Gulf of Mexico (NGOM). These three NERRS are fluvial, marine and mixed estuarine systems, respectively. Each NERR has its own unique characteristics that influence the salt marsh ecosystems. The HYDRO-MEM model was used to assess the effects of four projections of low (0.2 m), intermediate-low (0.5 m), intermediate-high (1.2 m) and high (2.0 m) SLR on salt marsh productivity for the year 2100 for the fluvial dominated Apalachicola estuary, the marine dominated Grand Bay estuary, and the mixed Weeks Bay estuary. The results showed increased productivity under the low SLR scenario and decreased productivity under the intermediate-low, intermediate-high, and high SLR. In the intermediate-high and high SLR scenarios, most of the salt marshes drowned (converted to open water) or migrated to higher topography. These research presented herein advanced the spatial modeling and understanding of dynamic SLR effects on coastal wetland vulnerability. This tool can be used in any estuarine system to project salt marsh productivity and accretion under sea level change scenarios to better predict possible responses to projected SLR scenarios. The findings are not only beneficial to the scientific community, but also are useful to restoration, planning, and monitoring activities in the NERRs. Finally, the research outcomes can help policy makers and coastal managers to choose suitable approaches to meet the specific needs and address the vulnerabilities of these three estuaries, as well as other wetland systems in the NGOM and marsh systems anywhere in the world.
Show less - Date Issued
- 2016
- Identifier
- CFE0006523, ucf:51360
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006523
- Title
- A framework for interoperability on the United States electric grid infrastructure.
- Creator
-
Laval, Stuart, Rabelo, Luis, Zheng, Qipeng, Xanthopoulos, Petros, Ajayi, Richard, University of Central Florida
- Abstract / Description
-
Historically, the United States (US) electric grid has been a stable one-way power delivery infrastructure that supplies centrally-generated electricity to its predictably consuming demand. However, the US electric grid is now undergoing a huge transformation from a simple and static system to a complex and dynamic network, which is starting to interconnect intermittent distributed energy resources (DERs), portable electric vehicles (EVs), and load-altering home automation devices, that...
Show moreHistorically, the United States (US) electric grid has been a stable one-way power delivery infrastructure that supplies centrally-generated electricity to its predictably consuming demand. However, the US electric grid is now undergoing a huge transformation from a simple and static system to a complex and dynamic network, which is starting to interconnect intermittent distributed energy resources (DERs), portable electric vehicles (EVs), and load-altering home automation devices, that create bidirectional power flow or stochastic load behavior. In order for this grid of the future to effectively embrace the high penetration of these disruptive and fast-responding digital technologies without compromising its safety, reliability, and affordability, plug-and-play interoperability within the field area network must be enabled between operational technology (OT), information technology (IT), and telecommunication assets in order to seamlessly and securely integrate into the electric utility's operations and planning systems in a modular, flexible, and scalable fashion. This research proposes a potential approach to simplifying the translation and contextualization of operational data on the electric grid without being routed to the utility datacenter for a control decision. This methodology integrates modern software technology from other industries, along with utility industry-standard semantic models, to overcome information siloes and enable interoperability. By leveraging industrial engineering tools, a framework is also developed to help devise a reference architecture and use-case application process that is applied and validated at a US electric utility.
Show less - Date Issued
- 2015
- Identifier
- CFE0005647, ucf:50193
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005647
- Title
- "ANALYZING THE EFFECTS OF SINGLE-SOURCING METHODOLOGIES ON THE ROLE OF THE TECHNICAL COMMUNICATOR".
- Creator
-
Boehl, Jeremy, Applen, J.D., University of Central Florida
- Abstract / Description
-
This thesis discusses the specific effects of single sourcing methodologies on the role of the technical communicator, his or her job responsibilities, qualifications, collaboration with coworkers, employee and employer expectations, and the effects on career progression. The methodologies discussed included all types of single sourcing methods for technical documentation (such as XML-based), advanced and non-advanced Content Management Systems (CMS), and Digital Asset Management (DAM)...
Show moreThis thesis discusses the specific effects of single sourcing methodologies on the role of the technical communicator, his or her job responsibilities, qualifications, collaboration with coworkers, employee and employer expectations, and the effects on career progression. The methodologies discussed included all types of single sourcing methods for technical documentation (such as XML-based), advanced and non-advanced Content Management Systems (CMS), and Digital Asset Management (DAM) systems. Other topics explored are an overview of single sourcing for technical documentation, a comparison of the "craftsman model" to the current trend of single sourcing and structured content, specific effects on technical communicators such as role changes, the effects of incorporating XML into a technical communicator's daily work environment, and the effects of other emerging technologies such as advanced CMS and DAM systems on technical communicators. General findings include that the practice of single sourcing, whether a positive or negative development, has continued and likely will continue to increase in technical communication groups within organizations. Single sourcing, especially for dynamic, customized content is also increasing because of the current marketplace, but works best via the use of a CMS and other systems used by large organizations. Single sourcing is also best implemented after extensive strategic planning and training of employees. Many technical communicators will have to accept new roles and positions, the direction of which is greatly impacted by the extent of their skills. Recommendations are made for additional research on the effects of single sourcing implementation on the technical communicator, and how to adapt to changes. Additional research is also needed on XML, DITA (Darwinian Information Typing Architecture), and DAM systems, all related specifically to technical communication.
Show less - Date Issued
- 2006
- Identifier
- CFE0001302, ucf:47031
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0001302
- Title
- ADDRESSING NEED FOR RESEARCH-FOCUSED NURSES BY INCREASING INTEREST AND SOCIALIZATION AT THE UNDERGRADUATE LEVEL.
- Creator
-
Thomas, Sarah, Norris, Anne, University of Central Florida
- Abstract / Description
-
The U.S. shortage of qualified nursing teachers and researchers is affecting national health care outcomes. Methods such as fast-tracking Baccalaureate nurses into graduate programs and embedding leadership development early into nursing curricula have been proposed to address faculty and research shortages. Early interest in nursing research careers increases likelihood of enrollment in graduate education. One way undergraduate nursing students may develop an interest in research careers is...
Show moreThe U.S. shortage of qualified nursing teachers and researchers is affecting national health care outcomes. Methods such as fast-tracking Baccalaureate nurses into graduate programs and embedding leadership development early into nursing curricula have been proposed to address faculty and research shortages. Early interest in nursing research careers increases likelihood of enrollment in graduate education. One way undergraduate nursing students may develop an interest in research careers is through a mentored apprenticeship with research-active faculty. In this thesis, the author uses an autoethnography methodology to examine the benefits that a mentored research apprenticeship model brought to her undergraduate experience. Her experience incorporated a variety of roles in an adolescent intervention program with Dr. Anne Norris (PI) at the University of Central Florida College of Nursing. Several themes about the experience were defined in the results. Early research exposure that socializes a student to the nursing research world may provide a means for addressing the nursing faculty shortage. This socialization can generate interest in a research career and promote undergraduate students with the essential tools and insights needed to pursue this career pathway. However, findings from this study suggest a student-mentor relationship early in the undergraduate education experience is essential.
Show less - Date Issued
- 2014
- Identifier
- CFH0004594, ucf:45232
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFH0004594
- Title
- A Holistic Analysis of the Long-Term Challenges (&) Potential Benefits of the Green Roof, Solar PV Roofing, and GRIPV Roofing Markets in Orlando, Florida.
- Creator
-
Kelly, Carolina, Tatari, Omer, Oloufa, Amr, Mayo, Talea, Zheng, Qipeng, University of Central Florida
- Abstract / Description
-
Green roofs and roof-mounted solar PV arrays have a wide range of environmental and economic benefits, including significantly longer roof lifetimes, reductions in urban runoff, mitigation of the urban heat island (UHI) effect, reduced electricity demand and energy dependence, and/or reduced emissions of greenhouse gases (GHGs) and other harmful pollutants from the electricity generation sector. Consequently, green roofs and solar panels have both become increasingly popular worldwide, and...
Show moreGreen roofs and roof-mounted solar PV arrays have a wide range of environmental and economic benefits, including significantly longer roof lifetimes, reductions in urban runoff, mitigation of the urban heat island (UHI) effect, reduced electricity demand and energy dependence, and/or reduced emissions of greenhouse gases (GHGs) and other harmful pollutants from the electricity generation sector. Consequently, green roofs and solar panels have both become increasingly popular worldwide, and promising new research has emerged for their potential combination in Green Roof Integrated Photovoltaic (GRIPV) roofing applications. However, due to policy resistance, these alternatives still have marginal market shares in the U.S., while GRIPV research and development is still severely limited today. As a result, these options are not yet sufficiently widespread in the United States as to realize their full potential, particularly due to a variety of policy resistance effects with respect to each specific alternative. The steps in the System Dynamics (SD) methodology to be used in this study are summarized as follows. First, based on a comprehensive review of relevant literature, a causal loop diagram (CLD) will be drawn to provide a conceptual illustration of the modeled system. Second, based on the feedback relationships observed in this CLD, a stock-flow diagram (SFD) will be developed to form a quantitative model. Third, the modeled SFD will be tested thoroughly to ensure its structural and behavioral validity with respect to the modeled system in reality using whatever real world data is available. Fourth, different policy scenarios will be simulated within the model to evaluate their long-term effectiveness. Fifth, uncertainty analyses will be performed to evaluate the inherent uncertainties associated with the analyses in this study. Finally, the results observed for the analyses in this study and possible future research steps will be discussed and compared as appropriate.
Show less - Date Issued
- 2018
- Identifier
- CFE0007406, ucf:52741
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0007406
