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Title: Kindergarten is Not Child's Play: An Exploration of Pedagogical Approaches Related to Learning in a Play-Based and a Contemporary Classroom at a Title I Elementary School.
Creator: Allee-Herndon, Karyn, Roberts, Sherron, Lue, Martha, Clark, M. H., Garcia, Jeanette, Hu, Bi Ying, University of Central Florida
Abstract / Description: This dissertation is divided into three separate, related, naturalistic, quasi-experimental research studies, all using data from two kindergarten classes at Gator Elementary, a public Title I elementary school in Sunshine District in Central Florida. Each of these studies tested hypotheses that kindergarten children, especially those from low socioeconomic backgrounds, will show greater gains in receptive vocabulary, executive function, and academic achievement when purposeful play is used...
Show moreThis dissertation is divided into three separate, related, naturalistic, quasi-experimental research studies, all using data from two kindergarten classes at Gator Elementary, a public Title I elementary school in Sunshine District in Central Florida. Each of these studies tested hypotheses that kindergarten children, especially those from low socioeconomic backgrounds, will show greater gains in receptive vocabulary, executive function, and academic achievement when purposeful play is used as a pedagogical approach than similar children in typical, contemporary kindergarten classrooms. The first study explored the effects of play-based and contemporary pedagogical approaches on students' receptive vocabulary using the PPVT-4, the second explored students' executive functions using the BRIEF2, and the third explored students' movements using Actigraph GT9X Link accelerometers. All three studies analyzed these data in relation to students' academic achievement as measured by i-Ready Diagnostic assessments. Statistically significant differences were detected in students' receptive vocabulary and reading growth as well as statistically significant differences in students' executive function health as reported by teachers and reading and math academic growth by classroom conditions. A strong association between receptive vocabulary and reading performances was revealed alongside strong negative correlations between levels of executive function concern and reading performance. No statistical differences in math growth between classrooms were found, although there was a moderate effect size, and less of an association between math performance and executive function presented. While strong correlations between academic achievement and total movement by day or movement types were revealed, these associations were inconsistent. Nor were there significant differences in movement by classroom conditions, although there was a moderate effect size suggesting some differences in movement by condition. The findings from this dissertation, while limited, point to a bourgeoning area of research connecting neuroscientific findings with developmentally appropriate practices to explore effective interventions to increase educational equity for vulnerable students.
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Date Issued: 2019
Identifier: CFE0007596, ucf:52556
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007596

Title: Growing Health: Community Gardens and their Effects on Diet, Physical and Mental Health and Community.
Creator: Hanson, Brittany, Wright, James, Gay, David, Jasinski, Jana, University of Central Florida
Abstract / Description: Recently, research on community gardens and their benefits to health and community has become very popular. However, this influx of research has failed to investigate challenges to successful community gardening. Some articles examine issues between community gardeners and the land owners, but other than these conflicts community garden challenges, like lack of participation and quality leadership, have not been discussed in the literature (Draper and Freedman, 2010). To allow future gardens...
Show moreRecently, research on community gardens and their benefits to health and community has become very popular. However, this influx of research has failed to investigate challenges to successful community gardening. Some articles examine issues between community gardeners and the land owners, but other than these conflicts community garden challenges, like lack of participation and quality leadership, have not been discussed in the literature (Draper and Freedman, 2010). To allow future gardens to be as successful as possible it is important to identify potential obstacles. Additionally, it is just as important to continue to examine possible benefits, for example, physical activity and health benefits of community gardening and the breadth of community issues possibly addressed by community gardeners. Continuing to research on community will allow for more successful gardens and encourage funding for these programs. This study examines how food insecurity, health and community cohesion issues can be affected by community gardens in Central Florida. It also investigates challenges community gardens often face. To do this I conducted structured interviews with community gardeners and semi-structured interviews with community garden leaders at several gardens throughout Orange County, Florida. The results show that community gardens have several benefits including increased consumption of fresh produce, improved physical activity, mental health and community cohesion. However, gardens are not without difficulties. About a third of the gardeners and the majority of the leaders said that lack of participation was a challenge they faced.
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Date Issued: 2012
Identifier: CFE0004382, ucf:49405
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0004382

Title: Data-Driven Simulation Modeling of Construction and Infrastructure Operations Using Process Knowledge Discovery.
Creator: Akhavian, Reza, Behzadan, Amir, Oloufa, Amr, Yun, Hae-Bum, Sukthankar, Gita, Zheng, Qipeng, University of Central Florida
Abstract / Description: Within the architecture, engineering, and construction (AEC) domain, simulation modeling is mainly used to facilitate decision-making by enabling the assessment of different operational plans and resource arrangements, that are otherwise difficult (if not impossible), expensive, or time consuming to be evaluated in real world settings. The accuracy of such models directly affects their reliability to serve as a basis for important decisions such as project completion time estimation and...
Show moreWithin the architecture, engineering, and construction (AEC) domain, simulation modeling is mainly used to facilitate decision-making by enabling the assessment of different operational plans and resource arrangements, that are otherwise difficult (if not impossible), expensive, or time consuming to be evaluated in real world settings. The accuracy of such models directly affects their reliability to serve as a basis for important decisions such as project completion time estimation and resource allocation. Compared to other industries, this is particularly important in construction and infrastructure projects due to the high resource costs and the societal impacts of these projects. Discrete event simulation (DES) is a decision making tool that can benefit the process of design, control, and management of construction operations. Despite recent advancements, most DES models used in construction are created during the early planning and design stage when the lack of factual information from the project prohibits the use of realistic data in simulation modeling. The resulting models, therefore, are often built using rigid (subjective) assumptions and design parameters (e.g. precedence logic, activity durations). In all such cases and in the absence of an inclusive methodology to incorporate real field data as the project evolves, modelers rely on information from previous projects (a.k.a. secondary data), expert judgments, and subjective assumptions to generate simulations to predict future performance. These and similar shortcomings have to a large extent limited the use of traditional DES tools to preliminary studies and long-term planning of construction projects.In the realm of the business process management, process mining as a relatively new research domain seeks to automatically discover a process model by observing activity records and extracting information about processes. The research presented in this Ph.D. Dissertation was in part inspired by the prospect of construction process mining using sensory data collected from field agents. This enabled the extraction of operational knowledge necessary to generate and maintain the fidelity of simulation models. A preliminary study was conducted to demonstrate the feasibility and applicability of data-driven knowledge-based simulation modeling with focus on data collection using wireless sensor network (WSN) and rule-based taxonomy of activities. The resulting knowledge-based simulation models performed very well in properly predicting key performance measures of real construction systems. Next, a pervasive mobile data collection and mining technique was adopted and an activity recognition framework for construction equipment and worker tasks was developed. Data was collected using smartphone accelerometers and gyroscopes from construction entities to generate significant statistical time- and frequency-domain features. The extracted features served as the input of different types of machine learning algorithms that were applied to various construction activities. The trained predictive algorithms were then used to extract activity durations and calculate probability distributions to be fused into corresponding DES models. Results indicated that the generated data-driven knowledge-based simulation models outperform static models created based upon engineering assumptions and estimations with regard to compatibility of performance measure outputs to reality.
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Date Issued: 2015
Identifier: CFE0006023, ucf:51014
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006023

Title: Assessment, Optimization, and Enhancement of Ultrafiltration (UF) Membrane Processes in Potable Water Treatment.
Creator: Boyd, Christopher, Duranceau, Steven, Cooper, Charles, Randall, Andrew, University of Central Florida
Abstract / Description: This dissertation reports on research related to ultrafiltration (UF) membranes in drinking water applications. A pilot-scale investigation identified seasonal surface water quality impacts on UF performance and resulted in the development of a dynamic chemically enhanced backwash protocol for fouling management. Subsequent analysis of UF process data revealed limitations with the use of specific flux, transmembrane pressure (TMP), and other normalization techniques for assessing UF process...
Show moreThis dissertation reports on research related to ultrafiltration (UF) membranes in drinking water applications. A pilot-scale investigation identified seasonal surface water quality impacts on UF performance and resulted in the development of a dynamic chemically enhanced backwash protocol for fouling management. Subsequent analysis of UF process data revealed limitations with the use of specific flux, transmembrane pressure (TMP), and other normalization techniques for assessing UF process fouling. A new TMP balance approach is presented that identifies the pressure contribution of membrane fouling and structural changes, enables direct process performance comparisons at different operating fluxes, and distinguishes between physically and chemically unresolved fouling. In addition to the TMP balance, a five component optimization approach is presented for the systematic improvement of UF processes on the basis of TMP variations. Terms are defined for assessing process event performance, a new process utilization term is presented to benchmark UF productivity, and new measures for evaluating maintenance procedures are discussed. Using these tools, a correlation between process utilization and operating pressures was established and a sustainable process utilization of 93.5% was achieved. UF process capabilities may be further enhanced by pre-coating media onto the membrane surface. Silicon dioxide (SiO2) and powdered activated carbon (PAC) are evaluated as pre-coating materials, and the applicability of the TMP balance for assessing pre-coated membrane performance is demonstrated. The first use of SiO2 as a support layer for PAC in a membrane pre-coating application is presented at the laboratory-scale. SiO2-PAC pre-coatings successfully reduced physically unresolved fouling and enhanced UF membrane organics removal capabilities.
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Date Issued: 2013
Identifier: CFE0005088, ucf:50758
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005088

Title: Spatial and Temporal Modeling for Human Activity Recognition from Multimodal Sequential Data.
Creator: Ye, Jun, Hua, Kien, Foroosh, Hassan, Zou, Changchun, Karwowski, Waldemar, University of Central Florida
Abstract / Description: Human Activity Recognition (HAR) has been an intense research area for more than a decade. Different sensors, ranging from 2D and 3D cameras to accelerometers, gyroscopes, and magnetometers, have been employed to generate multimodal signals to detect various human activities. With the advancement of sensing technology and the popularity of mobile devices, depth cameras and wearable devices, such as Microsoft Kinect and smart wristbands, open a unprecedented opportunity to solve the...
Show moreHuman Activity Recognition (HAR) has been an intense research area for more than a decade. Different sensors, ranging from 2D and 3D cameras to accelerometers, gyroscopes, and magnetometers, have been employed to generate multimodal signals to detect various human activities. With the advancement of sensing technology and the popularity of mobile devices, depth cameras and wearable devices, such as Microsoft Kinect and smart wristbands, open a unprecedented opportunity to solve the challenging HAR problem by learning expressive representations from the multimodal signals recording huge amounts of daily activities which comprise a rich set of categories.Although competitive performance has been reported, existing methods focus on the statistical or spatial representation of the human activity sequence;while the internal temporal dynamics of the human activity sequence arenot sufficiently exploited. As a result, they often face the challenge of recognizing visually similar activities composed of dynamic patterns in different temporal order. In addition, many model-driven methods based on sophisticated features and carefully-designed classifiers are computationally demanding and unable to scale to a large dataset. In this dissertation, we propose to address these challenges from three different perspectives; namely, 3D spatial relationship modeling, dynamic temporal quantization, and temporal order encoding.We propose a novel octree-based algorithm for computing the 3D spatial relationships between objects from a 3D point cloud captured by a Kinect sensor. A set of 26 3D spatial directions are defined to describe the spatial relationship of an object with respect to a reference object. These 3D directions are implemented as a set of spatial operators, such as "AboveSouthEast" and "BelowNorthWest," of an event query language to query human activities in an indoor environment; for example, "A person walks in the hallway from north to south." The performance is quantitatively evaluated in a public RGBD object dataset and qualitatively investigated in a live video computing platform.In order to address the challenge of temporal modeling in human action recognition, we introduce the dynamic temporal quantization, a clustering-like algorithm to quantize human action sequences of varied lengths into fixed-size quantized vectors. A two-step optimization algorithm is proposed to jointly optimize the quantization of the original sequence. In the aggregation step, frames falling into the sample segment are aggregated by max-polling and produce the quantized representation of the segment. During the assignment step, frame-segment assignment is updated according to dynamic time warping, while the temporal order of the entire sequence is preserved. The proposed technique is evaluated on three public 3D human action datasets and achieves state-of-the-art performance.Finally, we propose a novel temporal order encoding approach that models the temporal dynamics of the sequential data for human activity recognition. The algorithm encodes the temporal order of the latent patterns extracted by the subspace projection and generates a highly compact First-Take-All (FTA) feature vector representing the entire sequential data. An optimization algorithm is further introduced to learn the optimized projections in order to increase the discriminative power of the FTA feature. The compactness of the FTA feature makes it extremely efficient for human activity recognition with nearest neighbor search based on Hamming distance. Experimental results on two public human activity datasets demonstrate the advantages of the FTA feature over state-of-the-art methods in both accuracy and efficiency.
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Date Issued: 2016
Identifier: CFE0006516, ucf:51367
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006516

Title: The time of the toad.
Creator: Trumbo, Dalton
Identifier: 359815, CFDT359815, ucf:5211
Format: Document (PDF)
PURL: http://purl.flvc.org/FCLA/DT/359815

Title: RELATIONSHIP BETWEEN ADOLESCENT BEHAVIOR AND CIVIC ENGAGEMENT.
Creator: Ernst, Michael, Murray, Barbara, University of Central Florida
Abstract / Description: Citizenship – commitment to and participation in a political community - is the heart of constitutional democracy and a free society. Knowledge of the rights, responsibilities, and privileges are the electrical impulses that keep a steady beat. Without the participation of educated citizens, a democratic republic can not and does not function. This study analyzed the relationship between adolescent behavior and civic engagement. This task was accomplished by examining the amount of civic...
Show moreCitizenship – commitment to and participation in a political community - is the heart of constitutional democracy and a free society. Knowledge of the rights, responsibilities, and privileges are the electrical impulses that keep a steady beat. Without the participation of educated citizens, a democratic republic can not and does not function. This study analyzed the relationship between adolescent behavior and civic engagement. This task was accomplished by examining the amount of civic knowledge possessed by two groups within a population. The population examined, a high school in Flagler County, was composed of "at risk" students (those who had an Individualized Education Plan) and "regular" students (those that did not). The study uncovered the message that the amount of civic knowledge possessed by American youth was not as important as it was for them to be engaged in extracurricular activities. During the course of time, educators appear to have restricted their own ability to plan for and provide learning experiences that take in to consideration the physical characteristics; physical needs; patterns of growth and maturation; physiological changes; intellectual development; intellectual characteristics; learning preferences and styles; emotional development; personality development; and social development of each and every young adolescent attending school. When interesting, affordable activities are not made available, students become bored and get in to trouble during after school hours. Adolescent behaviors such as moral judgment and risk taking (or lack thereof) affect their decision to become civically involved.
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Date Issued: 2005
Identifier: CFE0000764, ucf:46585
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0000764

Title: A SYSTEMATIC REVIEW TO ASSESS THE METHODOLOGICAL QUALITY OF INTERVENTION RESEARCH DESIGNED TO INCREASE PHYSICAL ACTIVITY IN CHILDREN WITH AUTISM SPECTRUM DISORDERS.
Creator: Winn, Jolene, Tucker, Jennifer, University of Central Florida
Abstract / Description: In comparison to normally developing children, many children with Autism Spectrum Disorders (ASD) do not possess the same opportunities to be physically active due to the impairments exhibited by their disorder. A systematic review using the Downs and Black checklist and the PEDro scale was conducted to assess the methodological quality of the literature on promoting physical activity in children with ASD. The following inclusion criteria had to be met: (1) subjects must include children with...
Show moreIn comparison to normally developing children, many children with Autism Spectrum Disorders (ASD) do not possess the same opportunities to be physically active due to the impairments exhibited by their disorder. A systematic review using the Downs and Black checklist and the PEDro scale was conducted to assess the methodological quality of the literature on promoting physical activity in children with ASD. The following inclusion criteria had to be met: (1) subjects must include children with a clinical ASD diagnosis (2) the children have to be under the age of thirteen years old (3) the interventions must target physical activity; lastly, (4) they must be a relevant peer-reviewed English language study. The search was conducted using four electronic databases: MEDLINE, ERIC, PsycInfo, and CINHL with no restriction on the publication year. The following keywords were utilized: "Autism", "ASD/ Autism Spectrum Disorder", "Asperger", "Pervasive Developmental Disorder" Those terms were paired with "physical activity", "physical exercise", "exercise", "fitness", "aerobic", "swim", "aquatic", "jog", "walk", "recreational activity" Which were also paired with the terms "school age", "child", "toddler", "preadolescent". This multi-step search procedure occurred during February 2013. The methodological quality of six studies was evaluated in February 2013. Overall, the conclusive scores determined by the Downs and and Black checklist and the PEDro scale varied greatly. The scores reported by the Downs and Black checklist ranged from 19 to 21 on a 27-point scale. PEDro scale yielded scores ranging between two and six on a 10-point scale. A vote count revealed that the exercise interventions increased the physical fitness, aquatic skills, social behaviors, and sensory integration children with ASD. In summary, the variation within the scores and the quality of the studies leads to a demand for future research. In order to adequately determine what exercise interventions effectively increase physical activity in children with ASD, future researchers should conduct randomized controlled trials in order to produce the highest quality of evidence.
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Date Issued: 2013
Identifier: CFH0004404, ucf:45092
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH0004404

Title: STORY LINES: MOVING THROUGH THE MULTIPLE IMAGINED COMMUNITIES OF AN ASIAN-/AMERICAN-/FEMINIST BODY.
Creator: Choudhury, Athia, Park, Shelley, University of Central Florida
Abstract / Description: We all have stories to share, to build, to pass around, to inherit, and to create. This story - the one I piece together now - is about a Thai-/Bengali-/Muslim-/American-/Feminist looking for home, looking to manage the tension and conflict of wanting to belong to her family and to her feminist community. This thesis focuses on the seemingly conflicting obligations to kinship on the one hand and to feminist practice on the other, a conflict where being a good scholar or activist is directly...
Show moreWe all have stories to share, to build, to pass around, to inherit, and to create. This story - the one I piece together now - is about a Thai-/Bengali-/Muslim-/American-/Feminist looking for home, looking to manage the tension and conflict of wanting to belong to her family and to her feminist community. This thesis focuses on the seemingly conflicting obligations to kinship on the one hand and to feminist practice on the other, a conflict where being a good scholar or activist is directly in opposition to being a good Asian daughter. In order to understand how and why these communities appear at odds with one another, I examine how the material spaces and psychological realities inhabited by specific hyphenated, fragmented subjects are represented (and misrepresented) in both popular culture and practical politics, arguing against images of the hybrid body that bracket its lived tensions. I argue that fantasies of home as an unconditional site of belonging and comfort distract us from the multiple communities to which hyphenated subjects must move between. Hyphenated Asian-/American bodies often find ourselves torn between nativism and assimilationism - having to neutralize, forsake, or discard parts of our identities. Thus, I reduce complicated, difficult ideas of being to the size of a thimble, to a question of loyalty between my Asian-/American history and my American-/feminist future, between my familial background and the issues that have become foregrounded for me during college, between the home from which I originate and the new home to which I wish to belong. To move with fluidity, I must - in collaboration with others - invent new stories of identity and belonging.
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Date Issued: 2012
Identifier: CFH0004200, ucf:44974
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH0004200

Title: Evolution and distribution of phenotypic diversity in the venom of Mojave Rattlesnakes (Crotalus scutulatus).
Creator: Strickland, Jason, Savage, Anna, Parkinson, Christopher, Hoffman, Eric, Rokyta, Darin, University of Central Florida
Abstract / Description: Intraspecific phenotype diversity allows for local adaption and the ability for species to respond to changing environmental conditions, enhancing survivability. Phenotypic variation could be stochastic, genetically based, and/or the result of different environmental conditions. Mojave Rattlesnakes, Crotalus scutulatus, are known to have high intraspecific venom variation, but the geographic extent of the variation and factors influencing venom evolution are poorly understood. Three primary...
Show moreIntraspecific phenotype diversity allows for local adaption and the ability for species to respond to changing environmental conditions, enhancing survivability. Phenotypic variation could be stochastic, genetically based, and/or the result of different environmental conditions. Mojave Rattlesnakes, Crotalus scutulatus, are known to have high intraspecific venom variation, but the geographic extent of the variation and factors influencing venom evolution are poorly understood. Three primary venom types have been described in this species based on the presence (Type A) or absence (Type B) of a neurotoxic phospholipase A2 called Mojave toxin and an inverse relationship with the presence of snake venom metalloproteinases (SVMPs). Individuals that contain both Mojave toxin and SVMPs, although rare, are the third, and designated Type A + B. I sought to describe the proteomic and transcriptomic venom diversity of C. scutulatus across its range and test whether diversity was correlated with genetic or environmental differences. This study includes the highest geographic sampling of Mojave Rattlesnakes and includes the most venom-gland transcriptomes known for one species. Of the four mitochondrial lineages known, only one was monophyletic for venom type. Environmental variables poorly correlated with the phenotypes. Variability in toxin and toxin family composition of venom transcriptomes was largely due to differences in transcript expression. Four of 19 toxin families identified in C. scutulatus account for the majority of differences in toxin number and expression variation. I was able to determine that the toxins primarily responsible for venom types are inherited in a Mendelian fashion and that toxin expression is additive when comparing heterozygotes and homozygotes. Using the genetics to define venom type is more informative and the Type A + B phenotype is not unique, but rather heterozygous for the PLA2 and/or SVMP alleles. Intraspecific venom variation in C. scutulatus highlights the need for fine scale ecological and natural history information to understand how phenotypic diversity is generated and maintained geographically through time.
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Date Issued: 2018
Identifier: CFE0007252, ucf:52198
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007252

Title: Integrating Spray Aeration and Granular Activated Carbon for Disinfection By-Product Control in a Potable Water System.
Creator: Rodriguez, Angela, Duranceau, Steven, Lee, Woo Hyoung, Sadmani, A H M Anwar, University of Central Florida
Abstract / Description: Public water systems add disinfectants in water treatment to inactivate microbial pathogens. Chlorine, when used as a disinfectant, reacts with natural organic matter in the water to form trihalomethane (THM) and haloacetic acid (HAA5) disinfection by-products (DBPs), which are suspected carcinogens. The Safe Drinking Water Act's Disinfectant and Disinfection By-Product (D/DBP) Rules were promulgated by the U.S. Environmental Protection Agency to regulate the amount of DBPs in water systems....
Show morePublic water systems add disinfectants in water treatment to inactivate microbial pathogens. Chlorine, when used as a disinfectant, reacts with natural organic matter in the water to form trihalomethane (THM) and haloacetic acid (HAA5) disinfection by-products (DBPs), which are suspected carcinogens. The Safe Drinking Water Act's Disinfectant and Disinfection By-Product (D/DBP) Rules were promulgated by the U.S. Environmental Protection Agency to regulate the amount of DBPs in water systems. Regulatory compliance is based on maximum contaminant levels (MCL), measured as a locational running annual average (LRAA), for total THM (TTHM) and HAA5 of 80 (&)#181;g/L and 60 (&)#181;g/L, respectively. Regulated DBPs, if consumed in excess of EPA's MCL standard over many years, may increase chronic health risks. In order to comply with the D/DBP Rules, the County of Maui Department of Water Supply (DWS) adopted two DBP control technologies. A GridBee(&)#174; spray-aeration process was place into DWS's Lower Kula water system's Brooks ground storage tank in February of 2013. In March of 2015 the second DBP control technology, granular activated carbon (GAC), was integrated into DWS's Pi'iholo surface water treatment plant. To investigate the integration effectiveness of GAC and spray-aeration into a water system for DBP control, DBP data was gathered from the system between August of 2011 and August 2016, and analyzed relative to cost and performance.Prior to the spray aeration and GAC integration, it was found that TTHM levels at the LRAA compliance site ranged between 58.5 (&)#181;g/L and 125 (&)#181;g/L (at times exceeding the MCL). Additionally, HAA5 levels at the LRAA compliance site ranged between 21.2 and 52.0 (&)#181;g/L. The concerted efforts of the GAC and GridBee(&)#174; system was found to reduce LRAA TTHM and HAA5 concentrations to 38.5 (&)#181;g/L and 20.5 (&)#181;g/L, respectively, in the Lower Kula system. Hypothesis testing utilizing t-Tests confirmed that TTHMs levels were controlled by the spray aeration system and the GAC was responsible for controlling HAA5 formation. Although TTHM levels were reduced by 58 percent, and HAA5 levels by 48 percent, the estimated cumulative annual operation and maintenance (O(&)M) cost of the two systems was $1,036,000. In light of the cost analysis, total organic carbon (TOC)-based models for predicting LRAA TTHM and HAA5 levels were developed as equation (i) and (ii), respectively:(i) TTHM (&)#181;g/L = (32.5 x (TOC ppm)) + 5.59, (ii) HAA5 (&)#181;g/L = (8.37 x (TOC ppm)) + 12.4.The TTHM model yielded an R2 of 0.93, and the HAA5 model had an R2 of 0.52. F-Tests comparing predicted LRAA TTHM and HAA5 levels to actual LRAA TTHM and HAA5 levels determined no statistically-significant difference. With the knowledge of how the GAC and spray aerator controlled DBPs in the water system, a cost-effective and practical treatment operating parameter was developed. The parameter, Pi'iholo water plant filter effluent TOC content, can serve as an indicator that operators would use to alter DBP treatment process flow set points to achieve cost-effective treatment. Furthermore, the significant annual cost contribution by the GAC, coupled with HAA5 levels below DWS's MCLG, led to the recommendation of variable frequency drive (VFD) pumps for the GAC system. The addition of VFD pumps should reduce the frequency of carbon change outs while preserving adequate HAA5 control in the system.
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Date Issued: 2016
Identifier: CFE0006841, ucf:52881
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006841

Title: Multi-Level Safety Performance Functions for High Speed Facilities.
Creator: Ahmed, Mohamed, Abdel-Aty, Mohamed, Radwan, Ahmed, Al-Deek, Haitham, Mackie, Kevin, Pande, Anurag, Uddin, Nizam, University of Central Florida
Abstract / Description: High speed facilities are considered the backbone of any successful transportation system; Interstates, freeways, and expressways carry the majority of daily trips on the transportation network. Although these types of roads are relatively considered the safest among other types of roads, they still experience many crashes, many of which are severe, which not only affect human lives but also can have tremendous economical and social impacts. These facts signify the necessity of enhancing the...
Show moreHigh speed facilities are considered the backbone of any successful transportation system; Interstates, freeways, and expressways carry the majority of daily trips on the transportation network. Although these types of roads are relatively considered the safest among other types of roads, they still experience many crashes, many of which are severe, which not only affect human lives but also can have tremendous economical and social impacts. These facts signify the necessity of enhancing the safety of these high speed facilities to ensure better and efficient operation. Safety problems could be assessed through several approaches that can help in mitigating the crash risk on long and short term basis. Therefore, the main focus of the research in this dissertation is to provide a framework of risk assessment to promote safety and enhance mobility on freeways and expressways. Multi-level Safety Performance Functions (SPFs) were developed at the aggregate level using historical crash data and the corresponding exposure and risk factors to identify and rank sites with promise (hot-spots). Additionally, SPFs were developed at the disaggregate level utilizing real-time weather data collected from meteorological stations located at the freeway section as well as traffic flow parameters collected from different detection systems such as Automatic Vehicle Identification (AVI) and Remote Traffic Microwave Sensors (RTMS). These disaggregate SPFs can identify real-time risks due to turbulent traffic conditions and their interactions with other risk factors.In this study, two main datasets were obtained from two different regions. Those datasets comprise historical crash data, roadway geometrical characteristics, aggregate weather and traffic parameters as well as real-time weather and traffic data.At the aggregate level, Bayesian hierarchical models with spatial and random effects were compared to Poisson models to examine the safety effects of roadway geometrics on crash occurrence along freeway sections that feature mountainous terrain and adverse weather. At the disaggregate level; a main framework of a proactive safety management system using traffic data collected from AVI and RTMS, real-time weather and geometrical characteristics was provided. Different statistical techniques were implemented. These techniques ranged from classical frequentist classification approaches to explain the relationship between an event (crash) occurring at a given time and a set of risk factors in real time to other more advanced models. Bayesian statistics with updating approach to update beliefs about the behavior of the parameter with prior knowledge in order to achieve more reliable estimation was implemented. Also a relatively recent and promising Machine Learning technique (Stochastic Gradient Boosting) was utilized to calibrate several models utilizing different datasets collected from mixed detection systems as well as real-time meteorological stations. The results from this study suggest that both levels of analyses are important, the aggregate level helps in providing good understanding of different safety problems, and developing policies and countermeasures to reduce the number of crashes in total. At the disaggregate level, real-time safety functions help toward more proactive traffic management system that will not only enhance the performance of the high speed facilities and the whole traffic network but also provide safer mobility for people and goods. In general, the proposed multi-level analyses are useful in providing roadway authorities with detailed information on where countermeasures must be implemented and when resources should be devoted. The study also proves that traffic data collected from different detection systems could be a useful asset that should be utilized appropriately not only to alleviate traffic congestion but also to mitigate increased safety risks. The overall proposed framework can maximize the benefit of the existing archived data for freeway authorities as well as for road users.
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Date Issued: 2012
Identifier: CFE0004508, ucf:49274
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0004508

Title: Youth Labor Market Conditions and the NEET Population in the EU: Do Poor Labor Market Opportunities Discourage Youth?.
Creator: Hudson, Jennifer, Hamann, Kerstin, Kinsey, Barbara, Powell, Jonathan, University of Central Florida
Abstract / Description: This study examines how poor labor market opportunities discourage youth between the ages of 15 and 24 and 15 to 29 from participating in the labor market in the European Union between 2005 and 2013. A critical portion of inactive NEETs (youth not in employment, education, or training) reports to be discouraged due to a recognized (")lack of opportunities in the labor market.(") Despite indications from descriptive analyses that the conditions that drive the distinct subsets of the NEET...
Show moreThis study examines how poor labor market opportunities discourage youth between the ages of 15 and 24 and 15 to 29 from participating in the labor market in the European Union between 2005 and 2013. A critical portion of inactive NEETs (youth not in employment, education, or training) reports to be discouraged due to a recognized (")lack of opportunities in the labor market.(") Despite indications from descriptive analyses that the conditions that drive the distinct subsets of the NEET population vary, empirical examinations of the effects of these conditions on the rates of different NEET groups across countries and over time are lacking. The policies prescribed for the NEET group as a whole tend to ignore the special needs of discouraged, inactive NEETs. Beyond the fundamental problem of engaging these individuals in the labor market, neglecting this group has a variety of implications, ranging from social exclusion, to poverty, and even radicalism. A central goal of this project is to determine what a recognized (")lack of opportunities(") means. What is known concretely is that fellow youth are increasingly vulnerable to a range of labor market outcomes and conditions beyond unemployment, including difficulty transitioning into the labor market (school-to-work transitions), in-work poverty risk, non-standard employment opportunities (involuntary and voluntary), limited ability to transition into secure employment (i.e. upward mobility), lower wage levels, atypical employment, limited job security and support, and long-term unemployment. Utilizing aggregated survey data from the EU Labor Force Survey and EU Survey on Income and Living Conditions, I examine how a range of labor market outcomes and conditions for youth, representative of the poor labor market opportunities, affect the frequency of discouraged NEETs across 24 EU countries between 2005 and 2013. Findings suggest that the incidence of involuntary non-standard work, in-work poverty risk, and atypical employment among fellow youth and the incidence of decreased work security among the adult working age population are associated with an increase in discouraged, inactive NEETs. This suggests that engaging this hard to reach subgroup of the NEET population requires a greater emphasis on creating improved labor market opportunities.
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Date Issued: 2017
Identifier: CFE0006605, ucf:51292
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006605

Title: Robust Subspace Estimation Using Low-Rank Optimization. Theory and Applications in Scene Reconstruction, Video Denoising, and Activity Recognition.
Creator: Oreifej, Omar, Shah, Mubarak, Da Vitoria Lobo, Niels, Stanley, Kenneth, Lin, Mingjie, Li, Xin, University of Central Florida
Abstract / Description: In this dissertation, we discuss the problem of robust linear subspace estimation using low-rank optimization and propose three formulations of it. We demonstrate how these formulations can be used to solve fundamental computer vision problems, and provide superior performance in terms of accuracy and running time.Consider a set of observations extracted from images (such as pixel gray values, local features, trajectories...etc). If the assumption that these observations are drawn from a...
Show moreIn this dissertation, we discuss the problem of robust linear subspace estimation using low-rank optimization and propose three formulations of it. We demonstrate how these formulations can be used to solve fundamental computer vision problems, and provide superior performance in terms of accuracy and running time.Consider a set of observations extracted from images (such as pixel gray values, local features, trajectories...etc). If the assumption that these observations are drawn from a liner subspace (or can be linearly approximated) is valid, then the goal is to represent each observation as a linear combination of a compact basis, while maintaining a minimal reconstruction error. One of the earliest, yet most popular, approaches to achieve that is Principal Component Analysis (PCA). However, PCA can only handle Gaussian noise, and thus suffers when the observations are contaminated with gross and sparse outliers. To this end, in this dissertation, we focus on estimating the subspace robustly using low-rank optimization, where the sparse outliers are detected and separated through the `1 norm. The robust estimation has a two-fold advantage: First, the obtained basis better represents the actual subspace because it does not include contributions from the outliers. Second, the detected outliers are often of a specific interest in many applications, as we will show throughout this thesis. We demonstrate four different formulations and applications for low-rank optimization. First, we consider the problem of reconstructing an underwater sequence by removing the turbulence caused by the water waves. The main drawback of most previous attempts to tackle this problem is that they heavily depend on modelling the waves, which in fact is ill-posed since the actual behavior of the waves along with the imaging process are complicated and include several noise components; therefore, their results are not satisfactory. In contrast, we propose a novel approach which outperforms the state-of-the-art. The intuition behind our method is that in a sequence where the water is static, the frames would be linearly correlated. Therefore, in the presence of water waves, we may consider the frames as noisy observations drawn from a the subspace of linearly correlated frames. However, the noise introduced by the water waves is not sparse, and thus cannot directly be detected using low-rank optimization. Therefore, we propose a data-driven two-stage approach, where the first stage (")sparsifies(") the noise, and the second stage detects it. The first stage leverages the temporal mean of the sequence to overcome the structured turbulence of the waves through an iterative registration algorithm. The result of the first stage is a high quality mean and a better structured sequence; however, the sequence still contains unstructured sparse noise. Thus, we employ a second stage at which we extract the sparse errors from the sequence through rank minimization. Our method converges faster, and drastically outperforms state of the art on all testing sequences. Secondly, we consider a closely related situation where an independently moving object is also present in the turbulent video. More precisely, we consider video sequences acquired in a desert battlefields, where atmospheric turbulence is typically present, in addition to independently moving targets. Typical approaches for turbulence mitigation follow averaging or de-warping techniques. Although these methods can reduce the turbulence, they distort the independently moving objects which can often be of great interest. Therefore, we address the problem of simultaneous turbulence mitigation and moving object detection. We propose a novel three-term low-rank matrix decomposition approach in which we decompose the turbulence sequence into three components: the background, the turbulence, and the object. We simplify this extremely difficult problem into a minimization of nuclear norm, Frobenius norm, and L1 norm. Our method is based on two observations: First, the turbulence causes dense and Gaussian noise, and therefore can be captured by Frobenius norm, while the moving objects are sparse and thus can be captured by L1 norm. Second, since the object's motion is linear and intrinsically different than the Gaussian-like turbulence, a Gaussian-based turbulence model can be employed to enforce an additional constraint on the search space of the minimization. We demonstrate the robustness of our approach on challenging sequences which are significantly distorted with atmospheric turbulence and include extremely tiny moving objects. In addition to robustly detecting the subspace of the frames of a sequence, we consider using trajectories as observations in the low-rank optimization framework. In particular, in videos acquired by moving cameras, we track all the pixels in the video and use that to estimate the camera motion subspace. This is particularly useful in activity recognition, which typically requires standard preprocessing steps such as motion compensation, moving object detection, and object tracking. The errors from the motion compensation step propagate to the object detection stage, resulting in miss-detections, which further complicates the tracking stage, resulting in cluttered and incorrect tracks. In contrast, we propose a novel approach which does not follow the standard steps, and accordingly avoids the aforementioned difficulties. Our approach is based on Lagrangian particle trajectories which are a set of dense trajectories obtained by advecting optical flow over time, thus capturing the ensemble motions of a scene. This is done in frames of unaligned video, and no object detection is required. In order to handle the moving camera, we decompose the trajectories into their camera-induced and object-induced components. Having obtained the relevant object motion trajectories, we compute a compact set of chaotic invariant features, which captures the characteristics of the trajectories. Consequently, a SVM is employed to learn and recognize the human actions using the computed motion features. We performed intensive experiments on multiple benchmark datasets, and obtained promising results.Finally, we consider a more challenging problem referred to as complex event recognition, where the activities of interest are complex and unconstrained. This problem typically pose significant challenges because it involves videos of highly variable content, noise, length, frame size ... etc. In this extremely challenging task, high-level features have recently shown a promising direction as in [53, 129], where core low-level events referred to as concepts are annotated and modeled using a portion of the training data, then each event is described using its content of these concepts. However, because of the complex nature of the videos, both the concept models and the corresponding high-level features are significantly noisy. In order to address this problem, we propose a novel low-rank formulation, which combines the precisely annotated videos used to train the concepts, with the rich high-level features. Our approach finds a new representation for each event, which is not only low-rank, but also constrained to adhere to the concept annotation, thus suppressing the noise, and maintaining a consistent occurrence of the concepts in each event. Extensive experiments on large scale real world dataset TRECVID Multimedia Event Detection 2011 and 2012 demonstrate that our approach consistently improves the discriminativity of the high-level features by a significant margin.
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Date Issued: 2013
Identifier: CFE0004732, ucf:49835
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0004732

Title: An Assessment of Biosorption Activated Media for the Removal of Pollutants in Up-Flow Stormwater Treatment Systems.
Creator: Hood, Andrew, Randall, Andrew, Wanielista, Martin, Chopra, Manoj, O'Reilly, Andrew, Moore, Sean, University of Central Florida
Abstract / Description: Nitrogen and phosphorus are often the limiting nutrients for marine and freshwater systems respectively. Additionally, stormwater often contains elevated levels of pathogens which can pollute the receiving water body and impact reuse applications [1-4]. The reduction of limiting nutrients and pathogens is a common primary target for stormwater best management practices (BMPs) [5]. Traditional BMPs, such as retention/detention treatment ponds require large footprints and may not be practical...
Show moreNitrogen and phosphorus are often the limiting nutrients for marine and freshwater systems respectively. Additionally, stormwater often contains elevated levels of pathogens which can pollute the receiving water body and impact reuse applications [1-4]. The reduction of limiting nutrients and pathogens is a common primary target for stormwater best management practices (BMPs) [5]. Traditional BMPs, such as retention/detention treatment ponds require large footprints and may not be practical in ultra-urban environments where above ground space is limited. Upflow filters utilizing biosorption activated media (BAM) that can be placed underground offer a small footprint alternative. Additionally, BAM upflow filters can be installed at the discharge point of traditional stormwater ponds to provide further treatment. This research simulated stormwater that had already been treated for solids removal; thus, most of the nutrients and solids in the influent were assumed to be as non-settable suspended solids or dissolved solids. Three different BAM mixtures in an upflow filter configuration were compared for the parameters of nitrogen, phosphorus, total coliform, E. coli, and heterotrophic plate count (HPC). Additionally, genetic testing was conducted using Polymerase Chain Reaction (PCR), in conjunction with a nitrogen mass balance, to determine if Anammox was a significant player in the nitrogen removal. The columns were run at both 22-minute and 220-minute Empty Bed Contact Times (EBCTs). All the BAM mixtures analyzed were shown to be capable at the removal of nitrogen, phosphorus, and total coliform during both the 22-minute and 220-minute EBCTs, with BAM #1 having the highest removal performance for all three parameters during both EBCTs. All BAM mixtures experienced an increase in HPC. Additionally, PCR analysis confirmed the presence of Anammox in the biofilm and via mass balance it was determined that the biological nitrogen removal was due to Anammox and endogenous denitrification with Anammox being a significant mechanism.
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Date Issued: 2019
Identifier: CFE0007817, ucf:52875
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007817

Title: INDIA AND CHINA SPACE PROGRAMS: FROM GENESIS OF SPACE TECHNOLOGIES TO MAJOR SPACE PROGRAMS AND WHAT THAT MEANS FOR THE INTERNATIONAL COMMUNITY.
Creator: BHOLA, GAURAV, HANDBERG, ROGER, University of Central Florida
Abstract / Description: The Indian and Chinese space programs have evolved into technologically advanced vehicles of national prestige and international competition for developed nations. The programs continue to evolve with impetus that India and China will have the same space capabilities as the United States with in the coming years. This will present new challenges to the international community in spheres civilian, to space and military applications and their residual benefits.
Date Issued: 2009
Identifier: CFE0002745, ucf:48156
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0002745

Title: BRAVE NEW WORLD RELOADED: ADVOCATING FOR BASIC CONSTITUTIONAL SEARCH PROTECTIONS TO APPLY TO CELL PHONES FROM EAVESDROPPING AND TRACKING BY THE GOVERNMENT AND CORPORATE ENTITIES.
Creator: Berrios-Ayala, Mark, Milon, Abby, University of Central Florida
Abstract / Description: Imagine a world where someone's personal information is constantly compromised, where federal government entities AKA Big Brother always knows what anyone is Googling, who an individual is texting, and their emoticons on Twitter. Government entities have been doing this for years; they never cared if they were breaking the law or their moral compass of human dignity. Every day the Federal government blatantly siphons data with programs from the original ECHELON to the new series like PRISM...
Show moreImagine a world where someone's personal information is constantly compromised, where federal government entities AKA Big Brother always knows what anyone is Googling, who an individual is texting, and their emoticons on Twitter. Government entities have been doing this for years; they never cared if they were breaking the law or their moral compass of human dignity. Every day the Federal government blatantly siphons data with programs from the original ECHELON to the new series like PRISM and Xkeyscore so they can keep their tabs on issues that are none of their business; namely, the personal lives of millions. Our allies are taking note; some are learning our bad habits, from Government Communications Headquarters' (GCHQ) mass shadowing sharing plan to America's Russian inspiration, SORM. Some countries are following the United States' poster child pose of a Brave New World like order of global events. Others like Germany are showing their resolve in their disdain for the rise of tyranny. Soon, these new found surveillance troubles will test the resolve of the American Constitution and its nation's strong love and tradition of liberty. Courts are currently at work to resolve how current concepts of liberty and privacy apply to the current conditions facing the privacy of society. It remains to be determined how liberty will be affected as well; liberty for the United States of America, for the European Union, the Russian Federation and for the people of the World in regards to the extent of privacy in today's blurred privacy expectations.
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Date Issued: 2014
Identifier: CFH0004537, ucf:45187
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH0004537

physical activity (9)	+ -
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