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Title: Simulation, control and optimization of underwater vehicle performance.
Creator: Zipf, David Glenn., Florida Atlantic University, Dunn, Stanley E., College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
Abstract/Description: This project addresses the simulation, control and optimization of underwater vehicle performance. An analytical model of underwater vehicle motion has been developed. This model is based on a set of six degree of freedom nonlinear differential equations of motion. These equations incorporate inertial, hydrodynamic, hydrostatic, gravity and thruster forces to define the vehicle's motion. The forces are calculated and the equations of motion solved using a finite difference method of...
Show moreThis project addresses the simulation, control and optimization of underwater vehicle performance. An analytical model of underwater vehicle motion has been developed. This model is based on a set of six degree of freedom nonlinear differential equations of motion. These equations incorporate inertial, hydrodynamic, hydrostatic, gravity and thruster forces to define the vehicle's motion. The forces are calculated and the equations of motion solved using a finite difference method of integration. An automatic closed loop control strategy has been developed and integrated into the motion model. The controller determines control plane deflection and thruster output based on sensor provided input, maneuver request and control gain constants. The motion model simulates the effects of these controller requests on the vehicle motion. The controller effects are analyzed and an optimal set of control gains is determined. These optimal gains are determined based on a quantitative comparison of a pre-defined Performance Index (PI) function. The PI is a function of critical performance values, i.e., energy consumption, and user defined weighted constants. By employing an iteration technique the PI is minimized to provide an optimal set of control gains.
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Date Issued: 1989
PURL: http://purl.flvc.org/fcla/dt/14534
Subject Headings: Oceanographic submersibles--Automatic control, Oceanographic submersibles--Simulation methods, Vehicles, Remotely piloted
Format: Document (PDF)

Title: Simulation of autonomous knowledge-based navigation in unknown two-dimensional environment with polygonal obstacles.
Creator: McKendrick, John DeMilly., Florida Atlantic University, Cheng, Linfu, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: The problem of finding optimal paths for a robot navigating in an environment where the position of each obstacle is precisely known has received much attention in the literature, however, the majority of applications problems for a robot would require it to navigate in a completely unknown. This paper focuses on an approach to solving the problem of robot navigation in an unknown, unstructured, two-dimensional environment where the positions of the polygonal obstacles were fixed in time. Few...
Show moreThe problem of finding optimal paths for a robot navigating in an environment where the position of each obstacle is precisely known has received much attention in the literature, however, the majority of applications problems for a robot would require it to navigate in a completely unknown. This paper focuses on an approach to solving the problem of robot navigation in an unknown, unstructured, two-dimensional environment where the positions of the polygonal obstacles were fixed in time. Few studies have reported on the utilization of an expert system to govern robot motion. This study relied on a knowledge-based expert system that interacted with lower-level procedures to carry out path finding and exploration functions. The expert-system shell used was OPS5 which ran on top of Lisp.
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Date Issued: 1988
PURL: http://purl.flvc.org/fcla/dt/14496
Subject Headings: Robots--Motion, Expert systems (Computer science), Robots--Motion--Computer simulation
Format: Document (PDF)

Title: Simulation modeling for hospital emergency department resource analysis.
Creator: Amodie, Jeffrey Scott., Florida Atlantic University, Han, Chingping (Jim)
Abstract/Description: Hospital Emergency Departments are forced to operate under many unknown conditions. Therefore, determining the appropriate staffing requirements of an emergency department can be a difficult task. The objective herein is to develop a procedure for assembling a simulation model, to be used as a tool for determining adequate resource requirements for various situations encountered in an emergency department of a hospital. The model will consider variables such as patient arrival rates, types of...
Show moreHospital Emergency Departments are forced to operate under many unknown conditions. Therefore, determining the appropriate staffing requirements of an emergency department can be a difficult task. The objective herein is to develop a procedure for assembling a simulation model, to be used as a tool for determining adequate resource requirements for various situations encountered in an emergency department of a hospital. The model will consider variables such as patient arrival rates, types of injuries, duration of treatment for each specific injury, available resources, etc. It is expected that the use of such a model will help emergency department managers plan for adequate resources to meet the needs of the community being served.
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Date Issued: 1995
PURL: http://purl.flvc.org/fcla/dt/15216
Subject Headings: Hospitals--Emergency service, Hospitals--Emergency service--Utilization--Simulation methods, Hospitals--Staff
Format: Document (PDF)

Title: Simulation analysis of cluster-based multiprocessor systems.
Creator: De Armas, Mario Ernesto., Florida Atlantic University, Mahgoub, Imad
Abstract/Description: Multiprocessor systems have demonstrated great potential for meeting the ever increasing demand for higher performance. In this thesis, we develop simulation models with fewer and more realistic assumptions to evaluate the performance of the circuit-switched cluster-based multiprocessor system. We then introduce a packet-switched variation of the cluster-based architecture and develop simulation models to evaluate its performance. The analysis of the cluster-based systems is performed for...
Show moreMultiprocessor systems have demonstrated great potential for meeting the ever increasing demand for higher performance. In this thesis, we develop simulation models with fewer and more realistic assumptions to evaluate the performance of the circuit-switched cluster-based multiprocessor system. We then introduce a packet-switched variation of the cluster-based architecture and develop simulation models to evaluate its performance. The analysis of the cluster-based systems is performed for both uniform and non-uniform memory reference models. We conducted similar analysis for the crossbar and multiple-bus systems. Finally, the results of the cluster-based systems are compared to those obtained for the crossbar and the multiple-bus systems.
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Date Issued: 1993
PURL: http://purl.flvc.org/fcla/dt/14969
Subject Headings: Multiprocessors, Cluster analysis, Packet switching (Data transmission), Computer architecture, Computer simulation
Format: Document (PDF)

Title: Statistical modeling of the container inventory control in a distribution network.
Creator: Feng, Weiming., Florida Atlantic University, Han, Chingping (Jim), College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
Abstract/Description: The study of the reusable container inventory control in a distribution network is crucial to the efficiency and cost effectiveness of the transportation systems. In order to minimize the total operation cost of such a transportation network system, all subsystems of the distribution network have to be optimized together as a whole system. In this study, we extended the inventory control concept and developed a multiple-inventory control model for the transportation network. We presented a...
Show moreThe study of the reusable container inventory control in a distribution network is crucial to the efficiency and cost effectiveness of the transportation systems. In order to minimize the total operation cost of such a transportation network system, all subsystems of the distribution network have to be optimized together as a whole system. In this study, we extended the inventory control concept and developed a multiple-inventory control model for the transportation network. We presented a systematic approach to address all those subsystems as interrelated systems. Mathematical models were developed for the transportation and container inventory control problems first. Then, the statistical modeling method was used to analyze the effects of the container inventory management policies on the performance of the transportation system. Based on the optimization theory, simulation executions were such arranged to lead to the globe optimality. This makes it possible to optimize the variables of inventory control under different control policies without solving mathematical models. A Simulation Code Generator (SCG) was also developed for a general container inventory control system.
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Date Issued: 1997
PURL: http://purl.flvc.org/fcla/dt/12525
Subject Headings: Inventory control--Mathematical models, Containerization, Transportation--Mathematical models, Inventory control--Simulation methods
Format: Document (PDF)

Title: FINANCIAL TIME-SERIES ANALYSIS WITH DEEP NEURAL NETWORKS.
Creator: Rimal, Binod, Hahn, William Edward, Florida Atlantic University, Department of Mathematical Sciences, Charles E. Schmidt College of Science
Abstract/Description: Financial time-series data are noisy, volatile, and nonlinear. The classic statistical linear models may not capture those underlying structures of the data. The rapid advancement in artificial intelligence and machine learning techniques, availability of large-scale data, and increased computational capabilities of a machine opens the door to developing sophisticated deep learning models to capture the nonlinearity and hidden information in the data. Creating a robust model by unlocking the...
Show moreFinancial time-series data are noisy, volatile, and nonlinear. The classic statistical linear models may not capture those underlying structures of the data. The rapid advancement in artificial intelligence and machine learning techniques, availability of large-scale data, and increased computational capabilities of a machine opens the door to developing sophisticated deep learning models to capture the nonlinearity and hidden information in the data. Creating a robust model by unlocking the power of a deep neural network and using real-time data is essential in this tech era. This study constructs a new computational framework to uncover the information in the financial time-series data and better inform the related parties. It carries out the comparative analysis of the performance of the deep learning models on stock price prediction with a well-balanced set of factors from fundamental data, macroeconomic data, and technical indicators responsible for stock price movement. We further build a novel computational framework through a merger of recurrent neural networks and random compression for the time-series analysis. The performance of the model is tested on a benchmark anomaly time-series dataset. This new computational framework in a compressed paradigm leads to improved computational efficiency and data privacy. Finally, this study develops a custom trading simulator and an agent-based hybrid model by combining gradient and gradient-free optimization methods. In particular, we explore the use of simulated annealing with stochastic gradient descent. The model trains a population of agents to predict appropriate trading behaviors such as buy, hold, or sell by optimizing the portfolio returns. Experimental results on S&P 500 index show that the proposed model outperforms the baseline models.
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Date Issued: 2022
PURL: http://purl.flvc.org/fau/fd/FA00014009
Subject Headings: Neural networks (Computer science), Deep learning (Machine learning), Time-series analysis, Stocks, Simulated annealing (Mathematics)
Format: Document (PDF)

Title: Numerical Simulation and Performance Characterization of Two Wave Energy Converters.
Creator: DePietro, Abigail R., VanZwieten, James, Florida Atlantic University, Department of Ocean and Mechanical Engineering, College of Engineering and Computer Science
Abstract/Description: This research consists of the numerical model development and simulation of two prototype Wave Energy Convertor designs (WECs) across three simulation types. The first design is an oscillating body WEC called the Platypus designed to capture wave energy as three paddle arms actuate over the surface of the waves. The second design is an overtopping type WEC called the ROOWaC which captures and drains entrained water to generate power. Modeling of these systems was conducted using two...
Show moreThis research consists of the numerical model development and simulation of two prototype Wave Energy Convertor designs (WECs) across three simulation types. The first design is an oscillating body WEC called the Platypus designed to capture wave energy as three paddle arms actuate over the surface of the waves. The second design is an overtopping type WEC called the ROOWaC which captures and drains entrained water to generate power. Modeling of these systems was conducted using two techniques: the Morison load approach implemented using hydrodynamic response coefficients used to model the Platypus and a boundary element method (BEM) frequency-domain approach to model both WEC designs in the time domain. The BEM models included the development of hydrodynamic response coefficients using a discretized panel mesh of the system for calculation of added mass, excitation, and radiation forces. These three model families provided both performance predictions and power output information to WEC developers that supply important data for future full-scale designs. These models were used to predict power generation estimates for both WECs as follows: the Platypus WEC was predicted to have a maximum efficiency range between 14.5-35% and the ROOWaC WEC was predicted to generate a maximum peak average power of 19 W upon preliminary results.
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Date Issued: 2022
PURL: http://purl.flvc.org/fau/fd/FA00013956
Subject Headings: Ocean energy resources--Research, Ocean wave power, Simulations, Mathematical methods and modelling
Format: Document (PDF)

Title: A Hybrid System for Simulation of Athletic Activities Related to Lower Extremity Biomechanics.
Creator: Trepeck, Cameron, Hashemi, Javad, Florida Atlantic University, College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
Abstract/Description: In this dissertation, the design and development of a hybrid robotic system that simulates dynamic biomechanical tasks of the lower extremity with emphasis on knee and hip joints are presented. The hybrid system utilizes a mechanical hip and a cadaveric knee/ankle component and can accelerate the whole complex towards the ground. This system is used to simulate complex athletic movements such as landing from a jump at various anatomical orientations of the lower extremity with muscle action....
Show moreIn this dissertation, the design and development of a hybrid robotic system that simulates dynamic biomechanical tasks of the lower extremity with emphasis on knee and hip joints are presented. The hybrid system utilizes a mechanical hip and a cadaveric knee/ankle component and can accelerate the whole complex towards the ground. This system is used to simulate complex athletic movements such as landing from a jump at various anatomical orientations of the lower extremity with muscle action. The dynamic response of the lower extremity is monitored and analyzed during impulsive contact between the ground and the cadaveric leg. The cadaveric knee is instrumented to measure strain of the Anterior Cruciate Ligament (ACL) during simulated high impact sports activities. The mechanical hip allows various kinematics of the hip including flexion as well as abduction. In addition to the flexion and abduction of the mechanical hip, the controlled flexion and extension of the cadaveric knee allows for simulation of complex tasks such as landing from a jump. A large number of tests were performed at various anatomical positions utilizing this device to simulate landing from a jump. ACL strain was measured during these tasks using a Differential Variance Resistance Transducer (DVRT). Ground Reaction Force and muscle forces were measured and monitored using AmCell load cells recorded using the LabView software. one-inch and 6-inch jump landing heights were used for all the simulations. The tests were performed at differing angles of hip flexion (0°, 30°, 45°, 60°) and at two different ankle positions. Plantar flexion and flat-footed landing conditions were simulated and compared in all degrees of hip flexion. These tests were repeated with and without hip abduction in order to study the effects of these landing positions on ACL strain. Hip flexion was found to effect ACL strain: as angle of hip flexion increases, ACL strain decreases. This occurred in both abducted and non-abducted hip positions. Ankle landing position had an effect only in small drop heights, while hip abduction had an effect in large drops. Future tests must be completed to further study these effects. These studies showed that the robotic system can simulate dynamic tasks, apply muscle forces, and move the cadaveric tissue in three dimensional biomechanical positions.
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Date Issued: 2017
PURL: http://purl.flvc.org/fau/fd/FA00004898, http://purl.flvc.org/fau/fd/FA00004898
Subject Headings: Musculoskeletal system--Wounds and injuries., Musculoskeletal system--Mechanical properties., Biomechanics--Computer simulation., Human mechanics., Artificial joints.
Format: Document (PDF)

Title: Exploring appropriate offset values for pencil beam and Monte Carlo dose optimization in lung stereotactic body radiotherapy encompassing the effects of respiration and tumor location.
Creator: Evans, Grant, Shang, Charles, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Physics
Abstract/Description: Evaluation of dose optimization using the Pencil Beam (PB) and Monte Carlo (MC) algorithms may allow physicists to apply dosimetric offsets to account for inaccuracies of the PB algorithm for lung cancer treatment with Stereotactic Body Radiotherapy (SBRT). 20 cases of Non-Small Cell Lung Cancer (NSCLC) were selected. Treatment plans were created with Brainlab iPlanDose® 4.1.2. The D97 of the Planning Target Volume (PTV) was normalized to 50 Gy on the Average Intensity Projection (AIP) using...
Show moreEvaluation of dose optimization using the Pencil Beam (PB) and Monte Carlo (MC) algorithms may allow physicists to apply dosimetric offsets to account for inaccuracies of the PB algorithm for lung cancer treatment with Stereotactic Body Radiotherapy (SBRT). 20 cases of Non-Small Cell Lung Cancer (NSCLC) were selected. Treatment plans were created with Brainlab iPlanDose® 4.1.2. The D97 of the Planning Target Volume (PTV) was normalized to 50 Gy on the Average Intensity Projection (AIP) using the fast PB and compared with MC. This exact plan with the same beam Monitor Units (MUs) was recalculated over each respiratory phase. The results show that the PB algorithm has a 2.3-2.4% less overestimation at the maximum exhalation phase than the maximum inhalation phase when compared to MC. Significantly smaller dose difference between PB and MC is also shown in plans for peripheral lesions (7.7 ± 0.7%) versus central lesions (12.7±0.8%)(p< 0.01).
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Date Issued: 2014
PURL: http://purl.flvc.org/fau/fd/FA00004105, http://purl.flvc.org/fau/fd/FA00004105
Subject Headings: Drug development -- Computer simulation, Image guided radiation therapy, Lung cancer -- Treatment, Monte Carlo method, Proton beams, Transport theory
Format: Document (PDF)

Title: The Effect of Stereoscopic Cues on Multiple Object Tracking in a 3D Virtual Environment.
Creator: Oliveira, Steven Milanez, Barenholtz, Elan, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Psychology
Abstract/Description: Research on Multiple Object Tracking (MOT) has typically involved 2D displays where stimuli move in a single depth plane. However, under natural conditions, objects move in 3D which adds complexity to tracking. According to the spatial interference model, tracked objects have an inhibitory surround that when crossed causes tracking errors. How do these inhibitory fields translate to 3D space? Does multiple object tracking operate on a 2D planar projection, or is it in fact 3D? To investigate...
Show moreResearch on Multiple Object Tracking (MOT) has typically involved 2D displays where stimuli move in a single depth plane. However, under natural conditions, objects move in 3D which adds complexity to tracking. According to the spatial interference model, tracked objects have an inhibitory surround that when crossed causes tracking errors. How do these inhibitory fields translate to 3D space? Does multiple object tracking operate on a 2D planar projection, or is it in fact 3D? To investigate this, we used a fully immersive virtual-reality environment where participants were required to track 1 to 4 moving objects. We compared performance to a condition where participants viewed the same stimuli on a computer screen with monocular depth cues. Results suggest that participants were more accurate in the VR condition than the computer screen condition. This demonstrates interference is negligent when the objects are spatially distant, yet proximate within the 2D projection.
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Date Issued: 2017
PURL: http://purl.flvc.org/fau/fd/FA00004943, http://purl.flvc.org/fau/fd/FA00004943
Subject Headings: Pattern perception., Virtual reality., Interactive multimedia., Computer simulation., Computer vision--Mathematical models., Automatic tracking--Mathematical models.
Format: Document (PDF)

Title: MODELING GROUND ELEVATION OF LOUISIANA COASTAL WETLANDS AND ANALYZING RELATIVE SEA LEVEL RISE INUNDATION USING RSET-MH AND LIDAR MEASUREMENTS.
Creator: Liu, Jing, Zhang, Caiyun, Florida Atlantic University, Department of Geosciences, Charles E. Schmidt College of Science
Abstract/Description: The Louisiana coastal ecosystem is experiencing increasing threats from human flood control construction, sea-level rise (SLR), and subsidence. Louisiana lost about 4,833 km2 of coastal wetlands from 1932 to 2016, and concern exists whether remaining wetlands will persist while facing the highest rate of relative sea-level rise (RSLR) in the world. Restoration aimed at rehabilitating the ongoing and future disturbances is currently underway through the implementation of the Coastal Wetlands...
Show moreThe Louisiana coastal ecosystem is experiencing increasing threats from human flood control construction, sea-level rise (SLR), and subsidence. Louisiana lost about 4,833 km2 of coastal wetlands from 1932 to 2016, and concern exists whether remaining wetlands will persist while facing the highest rate of relative sea-level rise (RSLR) in the world. Restoration aimed at rehabilitating the ongoing and future disturbances is currently underway through the implementation of the Coastal Wetlands Planning Protection and Restoration Act of 1990 (CWPPRA). To effectively monitor the progress of projects in CWPPRA, the Coastwide Reference Monitoring System (CRMS) was established in 2006. To date, more than a decade of valuable coastal, environmental, and ground elevation data have been collected and archived. This dataset offers a unique opportunity to evaluate the wetland ground elevation dynamics by linking the Rod Surface Elevation Table (RSET) measurements with environmental variables like water salinity and biophysical variables like canopy coverage. This dissertation research examined the effects of the environmental and biophysical variables on wetland terrain elevation by developing innovative machine learning based models to quantify the contribution of each factor using the CRMS collected dataset. Three modern machine learning algorithms, including Random Forest (RF), Support Vector Machine (SVM), and Artificial Neural Network (ANN), were assessed and cross-compared with the commonly used Multiple Linear Regression (MLR). The results showed that RF had the best performance in modeling ground elevation with Root Mean Square Error (RMSE) of 10.8 cm and coefficient of coefficient (r) = 0.74. The top four factors contributing to ground elevation are the distance from monitoring station to closest water source, water salinity, water elevation, and dominant vegetation height.
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Date Issued: 2020
PURL: http://purl.flvc.org/fau/fd/FA00013568
Subject Headings: Coastal zone management--Louisiana, Sea level rise, Inundations, Wetland restoration--Louisiana, Machine learning, Computer simulation, Algorithms.
Format: Document (PDF)

Title: An empirical study of combining techniques in software quality classification.
Creator: Eroglu, Cemal., Florida Atlantic University, Khoshgoftaar, Taghi M.
Abstract/Description: In the literature, there has been limited research that systematically investigates the possibility of exercising a hybrid approach by simply learning from the output of numerous base-level learners. We analyze a hybrid learning approach upon the systems that had previously been worked with twenty-four different classifiers. Instead of relying on only one classifier's judgment, it is expected that taking into account the opinions of several learners is a wise decision. Moreover, by using...
Show moreIn the literature, there has been limited research that systematically investigates the possibility of exercising a hybrid approach by simply learning from the output of numerous base-level learners. We analyze a hybrid learning approach upon the systems that had previously been worked with twenty-four different classifiers. Instead of relying on only one classifier's judgment, it is expected that taking into account the opinions of several learners is a wise decision. Moreover, by using clustering techniques some base-level classifiers were eliminated from the hybrid learner input. We had three different experiments each with a different number of base-level classifiers. We empirically show that the hybrid learning approach generally yields better performance than the best selected base-level learners and majority voting under some conditions.
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Date Issued: 2004
PURL: http://purl.flvc.org/fcla/dt/13162
Subject Headings: Computer software--Testing, Computer software--Quality control, Computational learning theory, Machine learning, Digital computer simulation
Format: Document (PDF)

Title: A study on the electromagnetic performance of body-worn radio units in the presence of scatterers in the proximity.
Creator: Peterson, Vance Howard, Florida Atlantic University, Ungvichian, Vichate, Neelakanta, Perambur S., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: The research addressed refers to a study on the electromagnetic performance aspects of body-worn radio units operating in the presence of scatterers in close proximity, using analytical, numerical, and experimental methods. The application potentials of such methods include evaluating the integrity of radio units such as cell phones. Consistent with the scope of the study above, considered in this research are specific details on analytical and numerical modeling of the effects of a nearby...
Show moreThe research addressed refers to a study on the electromagnetic performance aspects of body-worn radio units operating in the presence of scatterers in close proximity, using analytical, numerical, and experimental methods. The application potentials of such methods include evaluating the integrity of radio units such as cell phones. Consistent with the scope of the study above, considered in this research are specific details on analytical and numerical modeling of the effects of a nearby conducting cylindrical object on the electromagnetic field near a human-model phantom. Calculations are performed using the Finite Difference Time Domain (FDTD) method. Considered are various separations of the body wearing the test radio unit from the proximal object and polarization of the incident wave. An anechoic chamber and the test setup used for the measurement of EM field amplitudes near a saline-water phantom are described. Within the anechoic chamber, a small shielded loop is used as a field measurement probe and is positioned near the test phantom. The field probe orientation was in the vertical plane for characterizing the prevailing electromagnetic field intensity. This study indicates that variations in the field amplitude near the phantom occur, which are responsive to phantom rotation and measurement distance from the phantom. The electromagnetic field amplitude decreases rapidly with increasing distance between the probe and the surface of the phantom. The analysis is also extended to examine the electromagnetic field distribution in the gap between a human body phantom model and a nearby conducting cylinder. An appropriate three-dimensional FDTD method is presented and applied to a near-field problem of analyzing the influence of proximal conductive objects on fields near a phantom wearing an RF unit.
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Date Issued: 2004
PURL: http://purl.flvc.org/fau/fd/FADT12085
Subject Headings: Scattering (Mathematics), Sound-waves (Scattering), Electromagnetic waves--Scattering, Electromagnetism--Computer simulation, Finite differences, Time-domain analysis
Format: Document (PDF)

Title: Groundwater solute transport models for simulating the effects of a wellfield protection zone on contaminant transport.
Creator: Rueckert, William A., Florida Atlantic University, Restrepo, Jorge I.
Abstract/Description: The objective is to develop a groundwater flow model of the Surficial Aquifer System in the area of Plantation, Broward County, Florida, using the U.S. Geological Survey MODFLOW code and to make a comparison between the use of two supplementary contaminant transport models: MODPATH code and the MT3D code. The advantages and limitations of the two solute transport models are described and an evaluation is made of their accuracy with respect to delineation of traveltime related to capture zones...
Show moreThe objective is to develop a groundwater flow model of the Surficial Aquifer System in the area of Plantation, Broward County, Florida, using the U.S. Geological Survey MODFLOW code and to make a comparison between the use of two supplementary contaminant transport models: MODPATH code and the MT3D code. The advantages and limitations of the two solute transport models are described and an evaluation is made of their accuracy with respect to delineation of traveltime related to capture zones of wells. Final results of the computer simulations indicate that this study area is sensitive to river bed hydraulic conductivity and the stress of the continuous pumping at a nearby wellfield. Therefore, a critical factor in selecting an appropriate flow model for delineating the traveltime-related capture zone of a well is a model which simplifies the flow system while still preserving hydrogeologic characteristics of the flow system.
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Date Issued: 1994
PURL: http://purl.flvc.org/fcla/dt/15073
Subject Headings: Pollutants, Groundwater flow--Computer simulation, Groundwater--Pollution, Aquifers--Florida--Broward County, Groundwater flow--Florida--Broward County
Format: Document (PDF)

Title: A dosimetric study of a heterogeneous phantom for lung stereotactic body radiation therapy comparing Monte Carlo and pencil beam calculations to dose distributions measured with a 2-d diode array.
Creator: Curley, Casey Michael, Ouhib, Zoubir, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Physics
Abstract/Description: Monte Carlo (MC) and Pencil Beam (PB) calculations are compared to their measured planar dose distributions using a 2-D diode array for lung Stereotactic Body Radiation Therapy (SBRT). The planar dose distributions were studied for two different phantom types: an in-house heterogeneous phantom and a homogeneous phantom. The motivation is to mimic the human anatomy during a lung SBRT treatment and incorporate heterogeneities into the pre-treatment Quality Assurance process, where measured and...
Show moreMonte Carlo (MC) and Pencil Beam (PB) calculations are compared to their measured planar dose distributions using a 2-D diode array for lung Stereotactic Body Radiation Therapy (SBRT). The planar dose distributions were studied for two different phantom types: an in-house heterogeneous phantom and a homogeneous phantom. The motivation is to mimic the human anatomy during a lung SBRT treatment and incorporate heterogeneities into the pre-treatment Quality Assurance process, where measured and calculated planar dose distributions are compared before the radiation treatment. Individual and combined field dosimetry has been performed for both fixed gantry angle (anterior to posterior) and planned gantry angle delivery. A gamma analysis has been performed for all beam arrangements. The measurements were obtained using the 2-D diode array MapCHECK 2™.
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Date Issued: 2015
PURL: http://purl.flvc.org/fau/fd/FA00004360
Subject Headings: Cancer -- Radiotherapy, Drug development -- Computer simulation, Image guided radiation therapy, Ion bombardment, Lung cancer -- Treatment, Medical physics, Monte Carlo method, Proton beams
Format: Document (PDF)

Title: Innovative web applications for analyzing traffic operations.
Creator: Petrovska, Natasha, Furht, Borko, Stevanovic, Aleksandar, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: The road traffic along with other key infrastructure sectors such as telecommunication, power, etc. has an important role in economic and technological growth of one country. Traffic engineers and analysts are responsible for solving a diversity of traffic problems, such as traffic data acquisition and evaluation. In response to the need to improve traffic operation, researchers implement advanced technologies and integration of systems and data, and develop state-of-the-art applications....
Show moreThe road traffic along with other key infrastructure sectors such as telecommunication, power, etc. has an important role in economic and technological growth of one country. Traffic engineers and analysts are responsible for solving a diversity of traffic problems, such as traffic data acquisition and evaluation. In response to the need to improve traffic operation, researchers implement advanced technologies and integration of systems and data, and develop state-of-the-art applications. This thesis introduces three novel web applications with an aim to offer traffic operators, managers, and analysts’ possibility to monitor the congestion, and analyze incidents and signal performance measures. They offer more detailed analysis providing users with insights from different levels and perspectives. The benefit of providing these visualization tools is more efficient estimation of the performance of local networks, thus facilitating the decision making process in case of emergency events.
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Date Issued: 2015
PURL: http://purl.flvc.org/fau/fd/FA00004459, http://purl.flvc.org/fau/fd/FA00004459
Subject Headings: Application program interfaces (Computer software), Internet -- Mathematical models, Traffic congestion -- Management, Traffic estimation -- Computer simulation, Transportation demand -- Forecasting
Format: Document (PDF)

Title: Design of experiment of LCD watch using computer simulation.
Creator: Michalik, Marian., Florida Atlantic University, Mazuoz, Abdel Kader, College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
Abstract/Description: Computer modeling has become indispensable to the engineering process, from initially refining an idea with computer-aided tools to implementing the final steps in manufacturing a product. This thesis addresses the issue of design of a housing of LCD watch. An approach is developed to determine an optimal LCD watch design. An analysis and development of a design of experiment is performed to identify the major controllable variables to performed a statistical significance analysis on...
Show moreComputer modeling has become indispensable to the engineering process, from initially refining an idea with computer-aided tools to implementing the final steps in manufacturing a product. This thesis addresses the issue of design of a housing of LCD watch. An approach is developed to determine an optimal LCD watch design. An analysis and development of a design of experiment is performed to identify the major controllable variables to performed a statistical significance analysis on different shapes for LCD glass. A housing of LCD watch is modeled using Pro/Engineer (a parametric-based solid modeling system), and different shapes of LCD glass are tested using P3/Patran. A non-destructive static experiment is performed on the LCD. This experiment consisted of measuring the maximum displacement and equivalent stress. Taguchi method was used to analyze this experiment.
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Date Issued: 1995
PURL: http://purl.flvc.org/fcla/dt/15149
Subject Headings: Computer simulation, Taguchi methods (Quality control), Engineering design, Liquid crystal displays--Design and construction--Quality control, Liquid crystal devices--Design and construction--Quality control
Format: Document (PDF)

Title: Modeling and Control of Proton Exchange Membrane (PEM) Fuel Cell System.
Creator: Saengrung, Anucha, Zilouchian, Ali, Abtahi, Amir, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: This dissertation presents the design, implementation and application of soft computing methodologies to Proton Exchange Membrane (PEM) Fuel Cell systems. In the first part of the research work, two distinct approaches for the modeling and prediction of a commercial PEM fuel cell system are presented. Several Simulink models are constructed from the electrochemical models of the PEM fuel cells. The models have been simulated in three dimension (3-D) space to provide the visual understanding...
Show moreThis dissertation presents the design, implementation and application of soft computing methodologies to Proton Exchange Membrane (PEM) Fuel Cell systems. In the first part of the research work, two distinct approaches for the modeling and prediction of a commercial PEM fuel cell system are presented. Several Simulink models are constructed from the electrochemical models of the PEM fuel cells. The models have been simulated in three dimension (3-D) space to provide the visual understanding of fuel cell behaviors. In addition, two optimal predictive models, based on back-propagation (BP) and radial basis function (RBF) neural networks are developed. Experimental data as well as pre-processing data are utilized to determine the accuracy and speed of the proposed prediction algorithms. Extensive simulation results are presented to demonstrate the effectiveness of the proposed method on prediction of nonlinear input-output linear input-output mapping. In the second part of the study, the design and implementation of several fuzzy logic controllers (FLCs) as well as classical controllers are carried out. The proposed real-time controller design is based on the integration of sensory information, Labview programming, mathematical calculation, and expert knowledge of the process to yield optimum output power performance under variable load condition. The implementations of the proposed controllers are carried out for a commercial PEM fuel system at FA U Fuel Cell Laboratory. The performance of the proposed controllers pertaining to the oxygen (02) flow rate optimization as well as the actual fuel cell output power under a variable load bank are compared and investigated. It was found the Fuzzy Logic Controller design provide a simple and effective approach for the implementation of the fuel cell systems.
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Date Issued: 2008
PURL: http://purl.flvc.org/fau/fd/FA00012577
Subject Headings: Proton exchange membrane fuel cells--Design and construction, Proton exchange membrane fuel cells--Computer simulation, Fuel cells--Design and construction
Format: Document (PDF)

Title: Configuration and assessment of hardware-in-the-loop-simulation with high resolution data to coordinate traffic signals.
Creator: Klanac, Ivica, Stevanovic, Aleksandar, Florida Atlantic University, College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
Abstract/Description: Today, the information (signal timings, detector extension, phase sequence, etc.) to install traffic lights on the street are obtained from traffic software simulations platforms, meaning that information from simulation is not tested on the field (intersection where it will be installed) before the installation. Many installed controllers on the street use time of day (TOD) patterns due to cheaper cost than adaptive traffic control systems, but that is not the best solution for traffic...
Show moreToday, the information (signal timings, detector extension, phase sequence, etc.) to install traffic lights on the street are obtained from traffic software simulations platforms, meaning that information from simulation is not tested on the field (intersection where it will be installed) before the installation. Many installed controllers on the street use time of day (TOD) patterns due to cheaper cost than adaptive traffic control systems, but that is not the best solution for traffic volume changes that can occur during the day or even a month. To improve traffic signal operation most of the traffic signal controllers in the same corridor or zone operate in coordination mode. Furthermore, phases need to be in coordination to achieve “green wave”. Green wave is term used when in corridor traffic lights allow continues flow of traffic through intersections that are coordinated.
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Date Issued: 2016
PURL: http://purl.flvc.org/fau/fd/FA00004709, http://purl.flvc.org/fau/fd/FA00004709
Subject Headings: Digital control systems, Digital integrated circuits -- Design and construction, Hardware in the loop simulation, Highway engineering -- Safety measures, Traffic engineering -- Technological innovations, Traffic flow -- Management, Traffic signs and signals -- Control systems -- Methodology
Format: Document (PDF)

Title: Geochemical conditions and groundwater-surface interactions within a municipal well field in Miami-Dade County, Florida.
Creator: Antolino, Dominick J., Charles E. Schmidt College of Science, Department of Geosciences
Abstract/Description: This thesis presents a preliminary study on geochemical conditions within the Snapper Creek well field in Miami-Dade County, Florida. The study investigates the background groundwater chemistry within the Biscayne aquifer in order to provide information on the geochemical processes and water-rock interactions within the study site. In conjunction with hydraulic gradient information, major ion chemistry and deuterium and oxygen-18 data were used as environmental tracers to help describe the...
Show moreThis thesis presents a preliminary study on geochemical conditions within the Snapper Creek well field in Miami-Dade County, Florida. The study investigates the background groundwater chemistry within the Biscayne aquifer in order to provide information on the geochemical processes and water-rock interactions within the study site. In conjunction with hydraulic gradient information, major ion chemistry and deuterium and oxygen-18 data were used as environmental tracers to help describe the groundwater-surface water interactions between the well field and the Snapper Creek canal. Hydrologic data show there is potential for natural groundwater recharge from the canal within the shallow flow zone of the Biscayne aquifer and chemical data show evidence of canal-groundwater mixing within this zone. The limitations for the v environmental tracers employed within the study are addressed, as well as recommendations for further research involving natural geochemical tracers and groundwater-surface water interactions near municipal well fields. This study was part of a larger effort being conducted by the U.S. Geological Survey in order to assess municipal well field pumping effects on the Snapper Creek (C-2) canal.
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Date Issued: 2011
PURL: http://purl.flvc.org/FAU/3329830
Subject Headings: Groundwater flow, Simulations, Groundwater flow, Hydrogeology, Aquifiers
Format: Document (PDF)

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