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Articles 3751 - 3780 of 8951
Full-Text Articles in Engineering
Characterization Of Arterial Flow For Junctional Bleeding Control, Nick Bosio
Characterization Of Arterial Flow For Junctional Bleeding Control, Nick Bosio
Master's Theses
This study investigated reducing volumetric flowrate under steady flow conditions by varying lengths of compression with constant cross-sectional area and varying cross-sectional area reduction with constant length in order to better understand how to control junctional hemorrhaging. The hypotheses of this study were that length reduction will have little effect on volumetric flowrate and that cross-sectional area reduction would need to be approximately 80 percent in order to obtain bleeding control. The study found that length reduction has little effect on changing the flowrate. However, in order to obtain at least 80 percent reduction in flow, the area needs to …
Thermal Modelling And Validation Of Heat Profiles In An Rf Plasma Micro-Thruster, Alec Sean Henken
Thermal Modelling And Validation Of Heat Profiles In An Rf Plasma Micro-Thruster, Alec Sean Henken
Master's Theses
The need and demand for propulsion devices on nanosatellites has grown over the last decade due to interest in expanding nanosatellite mission abilities, such as attitude control, station-keeping, and collision avoidance. One potential micro-propulsion device suitable for nanosatellites is an electrothermal plasma thruster called Pocket Rocket. Pocket Rocket is a low-power, low-cost propulsion platform specifically designed for use in nanosatellites such as CubeSats. Due to difficulties associated with integrating propulsion devices onto spacecraft such as volume constraints and heat dissipation limitations, a characterization of the heat generation and heat transfer properties of Pocket Rocket is necessary. Several heat-transfer models of …
Validation Of A 1d Algorithm That Measures Pulse Wave Velocity To Estimate Compliance In Blood Vessels, James Leung
Validation Of A 1d Algorithm That Measures Pulse Wave Velocity To Estimate Compliance In Blood Vessels, James Leung
Master's Theses
The purpose of this research is to determine if it is possible to validate the new 1D method for measuring pulse wave velocity in the aorta in vivo and estimate compliance. Arterial pressure and blood flow characterize the traveling of blood from the heart to the arterial system and have played a significant role in the evaluation of cardiovascular diseases. Blood vessel distensibility can give some information on the evolution of cardiovascular disease. A patient’s aorta cannot be explanted to measure compliance; therefore we are using a flow phantom model to validate the 1D pulse wave velocity technique to estimate …
Neural Network On Virtualization System, As A Way To Manage Failure Events Occurrence On Cloud Computing, Khoi Minh Pham
Neural Network On Virtualization System, As A Way To Manage Failure Events Occurrence On Cloud Computing, Khoi Minh Pham
Electronic Theses, Projects, and Dissertations
Cloud computing is one important direction of current advanced technology trends, which is dominating the industry in many aspects. These days Cloud computing has become an intense battlefield of many big technology companies, whoever can win this war can have a very high potential to rule the next generation of technologies. From a technical point of view, Cloud computing is classified into three different categories, each can provide different crucial services to users: Infrastructure (Hardware) as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS). Normally, the standard measurements for cloud computing reliability level is …
Epicconfigurator Computer Configurator And Cms Platform, Ivo A. Tantamango
Epicconfigurator Computer Configurator And Cms Platform, Ivo A. Tantamango
Electronic Theses, Projects, and Dissertations
Very often when we are looking to buy new IT equipment in an online store, we face the problem that certain parts of our order are not compatible with others or sometimes one part needs additional components. From another point of view in this process, when an online store owner wants to manage the products available in stock, assign prices, set conditions to make an order, or manage customer information, he or she must often rely on information from different systems, physical files, or other sources.
EpicConfigurator simplifies and solves the issues mentioned above. EpicConfigurator makes it easy for User …
Automatic Segmentation Of Trees In Dynamic Outdoor Environments, Amy Tabb, Henry P. Medeiros
Automatic Segmentation Of Trees In Dynamic Outdoor Environments, Amy Tabb, Henry P. Medeiros
Electrical and Computer Engineering Faculty Research and Publications
Segmentation in dynamic outdoor environments can be difficult when the illumination levels and other aspects of the scene cannot be controlled. Specifically in orchard and vineyard automation contexts, a background material is often used to shield a camera's field of view from other rows of crops. In this paper, we describe a method that uses superpixels to determine low texture regions of the image that correspond to the background material, and then show how this information can be integrated with the color distribution of the image to compute optimal segmentation parameters to segment objects of interest. Quantitative and qualitative experiments …
Automated Pruning Of Greenhouse Indeterminate Tomato Plants, Joey M. Angeja
Automated Pruning Of Greenhouse Indeterminate Tomato Plants, Joey M. Angeja
Master's Theses
Pruning of indeterminate tomato plants is vital for a profitable yield and it still remains a manual process. There has been research in automated pruning of grapevines, trees, and other plants, but tomato plants have yet to be explored. Wage increases are contributing to the depleting profits of greenhouse tomato farmers. Rises in population are the driving force behind the need for efficient growing techniques. The major contribution of this thesis is a computer vision algorithm for detecting greenhouse tomato pruning points without the use of depth sensors. Given an up-close 2-D image of a tomato stem with the background …
Comparative Analysis Of Physiological Measurements And Environmental Metrics On Predicting Heat Stress Related Events, Mckenzie Lee Barlow
Comparative Analysis Of Physiological Measurements And Environmental Metrics On Predicting Heat Stress Related Events, Mckenzie Lee Barlow
Master's Theses
Exposure to high heat and humidity can lead to serious health risks, including heat exhaustion and heat stroke. Wet Bulb Globe Temperature (WBGT) and heat index have historically been used to predict heat stress events, but individualized factors are not included in the measurement. It has been shown that there is a relationship between cardiovascular measurements and heat stress, which could be used to measure heat stress risk on an individual level. Research has been done to find relationships between cardiovascular metrics in a workplace environment, however the study did not include the use of a controlled environment as a …
A Protocol-Based Blended Model For Fluid Mechanics Instruction, John Solomon, Eric Hamilton, Vimal Viswanathan, Chitra Nayak, Firas Akasheh
A Protocol-Based Blended Model For Fluid Mechanics Instruction, John Solomon, Eric Hamilton, Vimal Viswanathan, Chitra Nayak, Firas Akasheh
Faculty Publications, Mechanical Engineering
A personalized and media-rich learning framework called “Knowledge and Curriculum Integration Ecosystem” (KACIE) has been developed and implemented in a junior level fluid mechanics course in Fall 2016 and Spring 2017. This model shares characteristics of blended instruction as well as a flipped classroom, with an overall structure that includes the application of established principles emerging from the learning sciences and from cognitive neuroscience. These principles have taken form in the KACIE model as classroom protocols or written instructions to scaffold and guide teaching and learning by faculty and students respectively. In KACIE, the course has been presented as a …
Application Of Brain-Based Learning Principles To Engineering Mechanics Education: Implementation And Preliminary Analysis Of Connections Between Employed Strategies And Improved Student Engagement, Firas Akasheh, John Solomon, Eric Hamilton, Chitra Nayak, Vimal Viswanathan
Application Of Brain-Based Learning Principles To Engineering Mechanics Education: Implementation And Preliminary Analysis Of Connections Between Employed Strategies And Improved Student Engagement, Firas Akasheh, John Solomon, Eric Hamilton, Chitra Nayak, Vimal Viswanathan
Faculty Publications, Mechanical Engineering
In a pilot study supported by NSF, an instructional model that uses brain based learning principles as instructional protocols has been developed and successfully implemented in the course Introduction to Fluid Mechanics at a HBCU. Motivated by that success, we extended a similar intervention to another course, Dynamics, in the same school. In this paper, we report preliminary data from this intervention. The main strategies implemented in this intervention include: organization of the course into specific concepts and sub-concepts, which are concisely presented by short (limited to 2-6 minutes) content-rich lectures (diagrams, animations, narrations), active learning through in-class worksheets, and …
A Study On The Student Success In A Blended-Model Engineering Classroom, Vimal Viswanathan, John Solomon
A Study On The Student Success In A Blended-Model Engineering Classroom, Vimal Viswanathan, John Solomon
Faculty Publications, Mechanical Engineering
One of the primary concern that many engineering educators face is the lack of engagement of students in their classroom. While literature suggests a variety of factors that might negatively influence student engagement, the theory of “Tailored Instructions and Engineered Delivery Using Protocols” (TIED UP) specifically addresses the lack of engagement arising from a weak pre-requisite base. TIED UP is a blended teaching model where the content delivery follows a set of protocols inspired by the brain-based learning approach. In a typical TIED UP classroom, content delivery is performed using short, animated and scripted concept videos that are generated before …
Camera View Planning For Structure From Motion: Achieving Targeted Inspection Through More Intelligent View Planning Methods, Trent James Okeson
Camera View Planning For Structure From Motion: Achieving Targeted Inspection Through More Intelligent View Planning Methods, Trent James Okeson
Theses and Dissertations
Remote sensors and unmanned aerial vehicles (UAVs) have the potential to dramatically improve infrastructure health monitoring in terms of accuracy of the information and frequency of data collection. UAV automation has made significant progress but that automation is also creating vast amounts of data that needs to be processed into actionable information. A key aspect of this work is the optimization (not just automation) of data collection from UAVs for targeted planning of mission objectives. This work investigates the use of camera planning for Structure from Motion for 3D modeling of infrastructure. Included in this thesis is a novel multi-scale …
Design And Implementation Of Fuzzy Controller For Non-Linear Thermally Insulated Mimo Greenhouse Building Utilizing Weather Conditions And Ground Temperature, Raghed Abdul Menam Al Housari
Design And Implementation Of Fuzzy Controller For Non-Linear Thermally Insulated Mimo Greenhouse Building Utilizing Weather Conditions And Ground Temperature, Raghed Abdul Menam Al Housari
Electrical Engineering Theses
The increased demand of electricity and water consumption for cooling and heating processes together with the continuous increase in earth temperature due to greenhouse gases emission urged the utilization of sustainable, affordable and clean energy resources. Globally, the biggest amount of water is consumed for agricultural purposes. Domestically, in Abu Dhabi Emirate, the agriculture sector consumes over 50% of the supplied water. Part of this consumption is due to the evaporative cooling approach that is typically used in cooling greenhouses. This approach utilizes a large amount of water and energy to maintain the greenhouse temperature within the desired range. Ground …
Using Switchable Solvents For Simultaneous Microalgae Lipids’ Extraction And Biodiesel Production, Mariam Sultan Saeed Alamer
Using Switchable Solvents For Simultaneous Microalgae Lipids’ Extraction And Biodiesel Production, Mariam Sultan Saeed Alamer
Chemical and Petroleum Engineering Theses
Biodiesel produced from microalgae biomass has been pursued as a possible replacement to petroleum diesel. Among the main steps in microalgae biodiesel production are the drying and cell walls disruption, which are energy intensive and/or time consuming, and oil extraction, which is conventionally done using toxic organic solvents that contaminate the left over biomass and require additional solvent recovery. Therefore, these steps are considered the major obstacles facing the commercialization of microalgae biodiesel.
In this work, switchable solvents (SSs), which can reversibly alter their hydrophobicities, have been tested for oil extraction and biodiesel production. Three switchable solvents, namely N, N-dimethylcyclohexylamine …
Integration Of Remote Sensing And Proximal Sensing For Improvement Of Field Scale Water Management, Foad Foolad
Integration Of Remote Sensing And Proximal Sensing For Improvement Of Field Scale Water Management, Foad Foolad
Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research
Water is one of the most precious natural resources, and sustainable water resources development is a significant challenge facing water managers over the coming decades. Accurate estimation of the different components of the hydrologic cycle is key for water managers and planners in order to achieve sustainable water resources development. The primary goal of this dissertation was to investigate techniques to combine datasets acquired by remote and proximal sensing and in-situ sensors for the improvement of monitoring near surface water fluxes. This dissertation is separated into three site-specific case studies. First study, investigated the feasibility of using inverse vadose zone …
Baroclinic Tidal Sea Level From Exact-Repeat Mission Altimetry, Edward Zaron
Baroclinic Tidal Sea Level From Exact-Repeat Mission Altimetry, Edward Zaron
Portland Institute for Computational Science Publications
A near-global model for the sea-surface expression of the baroclinic tide has been developed using exact-repeat mission altimetry. The methodology used differs in detail from other altimetry-based estimates of the open ocean baroclinic tide, but it leads to estimates which are broadly similar to previous results. It may be used for prediction of the baroclinic sea level anomaly at the frequencies of the main diurnal and semidiurnal tides, K1, O1, M2, S2, as well as the annual modulates of M2, denoted MA2 and MB2. Based on a …
Augmented Design Capabilities For Origami Tessellations, Janette Darlene Herron
Augmented Design Capabilities For Origami Tessellations, Janette Darlene Herron
Theses and Dissertations
Applying engineering principles to tessellation origami-based designs enables the control of certain design properties, such as flexibility, bending stiffness, mechanical advantage, shape conformance, and deployment motion. The ability to control these and other properties will enable augmented design capabilities in environments which currently limit the design to specific materials, including space, medicine, harsh environments, and scaled environments (such as MEMS applications). Other applications will be able to achieve more complex motions or better satisfy design and performance requirements.This research demonstrates augmented design capabilities of origami tessellations in engineering design in rigid-foldable and non-rigid-foldable applications. First, a method to determine Poisson's …
Suitability Of The Kalina Cycle For Power Conversion From Pressurized Water Reactors, Jack Ryan Webster
Suitability Of The Kalina Cycle For Power Conversion From Pressurized Water Reactors, Jack Ryan Webster
Theses and Dissertations
The primary objective of this work is to determine the Kalina cycle's suitability for thermal power conversion from a pressurized water reactor. Several previous papers have examined this application, but these either lack proof of concept or make unfeasible assumptions. This work expands current knowledge by simulating the Kalina cycle and comparing it to current pressurized water reactor Rankine cycles in order to identify which is more efficient. Prerequisite to the modeling is a simulation tool capable of modeling the thermodynamics of ammonia/water mixtures. Instead of using an existing program, a new one called Clearwater is used. This tool is …
A Systematic Process For Implementing Mass Customization In Residential Preconstruction, Spencer J. Blaylock
A Systematic Process For Implementing Mass Customization In Residential Preconstruction, Spencer J. Blaylock
Theses and Dissertations
According to production process theory, customization is directly related to cost and inversely related to volume, efficiency, and productivity. However, customers generally desire products that are individually tailored to their wants and needs. For this reason, as residential contractors grow, they struggle to meet customers' demands for flexibility. This struggle to increase customization is not unique to the construction industry and many other industries have studied this problem in depth. While the inverse relationship between customization and cost is generally true, mass customization can enable increased customization with limited or no increased cost. The residential construction process employs many mass …
Real-Time Feedback For In-Class Introductory Computer Programming Exercises, Ariana Dawn Sellers
Real-Time Feedback For In-Class Introductory Computer Programming Exercises, Ariana Dawn Sellers
Theses and Dissertations
Computer programming is a difficult subject to master. Introductory programming courses often have low retention and high failure rates. Part of the problem is identifying if students understand the lecture material. In a traditional classroom, a professor can gauge a class's understanding on questions asked during lecture. However, many struggling students are unlikely to speak up in class. To address this problem, recent research has focused on gathering compiler data from programming exercises to identify at-risk students in these courses. These data allow professors to intervene with individual students who are at risk and, after analyzing the data for a …
Multi-Task Learning Framework For Mining Crowd Intelligence Towards Clinical Treatment, Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya, Amit Sheth
Multi-Task Learning Framework For Mining Crowd Intelligence Towards Clinical Treatment, Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya, Amit Sheth
Publications
In recent past, social media has emerged as an active platform in the context of healthcare and medicine. In this paper, we present a study where medical user’s opinions on health-related issues are analyzed to capture the medical sentiment at a blog level. The medical sentiments can be studied in various facets such as medical condition, treatment, and medication that characterize the overall health status of the user. Considering these facets, we treat analysis of this information as a multi-task classification problem. In this paper, we adopt a novel adversarial learning approach for our multi-task learning framework to learn the …
Development Of A Vortex Particle Code For The Modeling Of Wake Interaction In Distributed Propulsion, Eduardo Alvarez, Andrew Ning
Development Of A Vortex Particle Code For The Modeling Of Wake Interaction In Distributed Propulsion, Eduardo Alvarez, Andrew Ning
Faculty Publications
Recent developments in electric aircraft technology have enabled the use of distributed propulsion for the next generation of vertical lift vehicles. However, the ability to rapidly assess the performance of these design concepts, with sufficient fidelity, is a current weakness of this nascent industry. This paper explores the capacity of the viscous Vortex Particle Method (VPM) to model wake interactions found in distributed propulsion. The elements of the vortex particle method are summarized, and a new approach for the calculation of vortex stretching through the complex-step derivative approximation is presented. Preliminary validation is performed on vortex ring cases resembling the …
A 3d Simulation Of Leukocyte Adhesion In Blood Flow, Tai-Hsien Wu
A 3d Simulation Of Leukocyte Adhesion In Blood Flow, Tai-Hsien Wu
Dissertations
It has been widely acknowledged that further understanding about the dynamics between blood cells and blood flow can help us gain more knowledge about the causes of diseases and discover more effective treatments. Examples of such dynamics include red blood cell (RBC, or erythrocyte) aggregation, white blood cell (WBC, or leukocyte) margination, and WBC extravasation. WBC extravasation is an important multiple-step process in the inflammatory response and therefore has drawn considerable attention over the past two decades. In this multiple-step process, a WBC undergoes at least four steps, including capture, rolling, firm adhesion, and transmigration, and each step is influenced …
Bubble Nucleation In Superhydrophobic Microchannels Due To Subcritical Heating, Adam Cowley, Daniel Maynes, Julie Crockett, Brian D. Iverson
Bubble Nucleation In Superhydrophobic Microchannels Due To Subcritical Heating, Adam Cowley, Daniel Maynes, Julie Crockett, Brian D. Iverson
Faculty Publications
This work experimentally studies the effects of single wall heating on laminar flow in a high-aspect ratio superhydrophobic microchannel. When water that is saturated with air is used as the working liquid, the non-wetted cavities on the superhydrophobic surfaces act as nucleation sites and allow air to effervesce out of the water and onto the surface when heated. Previous works in the literature have only considered the opposite case where the water is undersaturated and absorbs air out the cavities for a microchannel setting. The microchannel considered in this work consists of a rib/cavity structured superhydrophobic surface and a glass …
Universal Airfoil Parametrization Using B-Splines, Dev Rajnarayan, Andrew Ning, Judd Mehr
Universal Airfoil Parametrization Using B-Splines, Dev Rajnarayan, Andrew Ning, Judd Mehr
Faculty Publications
In this paper, we apply well-known techniques for parametric curves to the definition and deformation of airfoil sections. While it has already been shown that many versions of Kulfan’s Class Shape Transformation (CST) are exactly equivalent to Bézier curves, we show here that all NACA 4-digit thickness distributions and the PARSEC parametrization of Sobiezcky are also higher-order Bézier curves. As with CST, Béziers and B-Splines provide direct control over aerodynamically meaningful features such as nose radius and boat-tail angle, but also provide more a intuitive parametrization of the rest of the airfoil surface. We show the efficacy of B-Spline-based parametrizations …
Assessing The Accuracy Of Four Popular Face Recognition Tools For Inferring Gender, Age, And Race, Soon-Gyu Jung, Jisun An, Haewoon Kwak, Joni Salminen, Bernard J. Jansen
Assessing The Accuracy Of Four Popular Face Recognition Tools For Inferring Gender, Age, And Race, Soon-Gyu Jung, Jisun An, Haewoon Kwak, Joni Salminen, Bernard J. Jansen
Research Collection School Of Computing and Information Systems
In this research, we evaluate four widely used face detection tools, which are Face++, IBM Bluemix Visual Recognition, AWS Rekognition, and Microsoft Azure Face API, using multiple datasets to determine their accuracy in inferring user attributes, including gender, race, and age. Results show that the tools are generally proficient at determining gender, with accuracy rates greater than 90%, except for IBM Bluemix. Concerning race, only one of the four tools provides this capability, Face++, with an accuracy rate of greater than 90%, although the evaluation was performed on a high-quality dataset. Inferring age appears to be a challenging problem, as …
Deterioration Prediction Modeling For The Condition Assessment Of Concrete Bridge Decks, Aqeed Moshin Chyad
Deterioration Prediction Modeling For The Condition Assessment Of Concrete Bridge Decks, Aqeed Moshin Chyad
Dissertations
Bridges are key elements in the US transportation system. There are more than six hundred thousand bridges on the highway system in the United States. Approximately one third of these bridges are in need of maintenance and will cost more than $120 billion to rehabilitate or repair. Several factors affect the performance of bridges over their life spans. Identifying these factors and accurately assessing the condition of bridges are critical in the development of an effective maintenance program. While there are several methods available for condition assessment, selecting the best technique remains a challenge. Therefore, developing an accurate and reliable …
Optimized Insulation And Filter Design Of Rotating Machines Fed By Fast Front Pulses, Mohammed Khalil Hussain
Optimized Insulation And Filter Design Of Rotating Machines Fed By Fast Front Pulses, Mohammed Khalil Hussain
Dissertations
AC rotating machines are exposed to fast front pulses when fed from inverters. This type of excitation produces dielectric stress in the machine’s insulation system that can result in premature deterioration or even failure.
In this dissertation, a non-uniform transmission line model to predict the transient voltage distribution in a machine coil under steep-fronted surge conditions is described and implemented. This model is a function not only of frequency but also of space to represent the variation of electrical parameters in the overhang and slot regions of the coil. These parameters are computed using the finite element method. In order …
Measurements Of Fluid Structures And Mass Transport In Channel With Fabric Base, Karl David Mcallister
Measurements Of Fluid Structures And Mass Transport In Channel With Fabric Base, Karl David Mcallister
Dissertations
This thesis studies the relationships between flow structures and mass transport (dye concentration) within a Poiseuelle water flow glass chamber using optical flow experimental techniques in turbulent conditions. Through optical flow methods, velocity, vorticity, kinetic energy, Reynolds stress and turbulent production metrics where determined by laser illuminated glass beads and Rhodamine 6G dye removing from three different fabric substrates for multiple horizontal planes and one vertical plane. From the dye intensity, mass concentration metrics were determined providing visualization of velocity and mass transport simultaneously along with kinetic energy, mass flux, and concentration fluctuations.
Mgsnn2: A New Eco-Friendly Wide Band Gap Semiconductor, Krystal R. York
Mgsnn2: A New Eco-Friendly Wide Band Gap Semiconductor, Krystal R. York
Masters Theses
Materials having a wide band gap (above 2 eV) can provide new alternatives for existing light-emitting diodes (LEDs) and other opto-electronic devices. Currently, many such devices are comprised of low-earth-abundant elements, such as gallium and indium, which are harmful to the environment to extract and difficult to recycle. Alternatively, MgSnN2 is an unexplored material comprised of earth abundant elements which benefit from a mature recycling infrastructure. This material has a predicted band gap of 3.43 eV, indicating that it could be a viable substitute for GaN (band gap of 3.4 eV), which is commonly used in LEDs and other device …