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2020

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Full-Text Articles in Engineering

Modeling Distributed Source Control Infrastructure At Neighborhood Scale For Mitigating Flood Risk In Amite River Watershed, Ahmad Amin Shefai Nov 2020

Modeling Distributed Source Control Infrastructure At Neighborhood Scale For Mitigating Flood Risk In Amite River Watershed, Ahmad Amin Shefai

LSU Master's Theses

Flooding has always been a major threat to mankind. This is particularly true in urban areas due to urbanization-induced increasing impervious areas and subsequent increasing urban surface runoff, causing an increasing flooding risk to urban areas in spite of the fact that extensive flood control infrastructure has been constructed. The overall goal of this thesis is to present a distributed source control infrastructure-based approach for mitigating the flood risk. The new flood mitigation approach is demonstrated through the model implementation of a series of distributed source control infrastructure systems in the city of Denham Springs at a neighborhood scale. The …


Sports Analytics: Putting The Fun Back Into Analytics, Walt Degrange Nov 2020

Sports Analytics: Putting The Fun Back Into Analytics, Walt Degrange

Operations Management Presentations

With the recent success of sports teams heavily using analytics (Dodgers, Patriots, Capitals, Warriors, Leicester City F.C.), does this mean that analytics has gained a foothold in the sports world? I use a k-means clustering model to determine if performance since 2015 in the four major US sports can support this question. And is there a career path that a high school student can use to become a sports analytics professional? This presentation attempts to answer that question by exploring all the areas of the application of analytics in sports. The final point the brief makes is that by using …


Incentivization In Mobile Edge Computing Using A Full Bayesian Approach, Sean Lebien Nov 2020

Incentivization In Mobile Edge Computing Using A Full Bayesian Approach, Sean Lebien

Electrical and Computer Engineering ETDs

The advances of multi-access edge computing (MEC) have paved the way for the integration of the MEC servers, as intelligent entities into the Internet of Things (IoT) environment as well as into the 5G radio access networks. In this thesis, a novel artificial intelligence-based MEC servers’ activation mechanism is proposed, by adopting the principles of Reinforcement Learning (RL) and Bayesian Reasoning. The considered problem enables the MEC servers’ activation decision-making, aiming at enhancing the reputation of the overall MEC system, as well as considering the total computing costs to serve efficiently the users’ computing demands, guaranteeing at the same time …


Rapid: Monitoring And Modeling Watershed-Scale Post-Wildfire Streamflow Response Through Space And Time, Belize A. Lane Nov 2020

Rapid: Monitoring And Modeling Watershed-Scale Post-Wildfire Streamflow Response Through Space And Time, Belize A. Lane

Funded Research Records

No abstract provided.


Fifth Generation Antennas: A Bibliometric Survey And Future Research Directions, Amruta S. Dixit, Laxmikant K. Shevada, Hema D. Raut, Rajeshwari R. Malekar, Sumit Kumar Nov 2020

Fifth Generation Antennas: A Bibliometric Survey And Future Research Directions, Amruta S. Dixit, Laxmikant K. Shevada, Hema D. Raut, Rajeshwari R. Malekar, Sumit Kumar

Library Philosophy and Practice (e-journal)

As the 5G technology is going to be deployed soon, so the research on the 5G antennas as a part of communication devices becomes an important aspect. One of the important components of the 5G communication system is an antenna that is essential for the transmission and reception of the 5G signals. The international telecommunication union (ITU) has provided different specifications for the 5G communication system. The 5G antenna should operate at frequency range 1 and 2 (FR1 and FR2) specified by the ITU. The proliferation of various 5G antenna designs is surveyed in this bibliometric paper. The bibliometric survey …


Cost Minimization Of Battery-Supercapacitor Hybrid Energy Storage For Hourly Dispatching Wind-Solar Hybrid Power System, Pranoy Roy, Jiangbiao He, Yuan Liao Nov 2020

Cost Minimization Of Battery-Supercapacitor Hybrid Energy Storage For Hourly Dispatching Wind-Solar Hybrid Power System, Pranoy Roy, Jiangbiao He, Yuan Liao

Electrical and Computer Engineering Faculty Publications

This study demonstrates a dispatching scheme of wind-solar hybrid power system (WSHPS) for a one-hour dispatching period for an entire day utilizing battery and supercapacitor hybrid energy storage subsystem (HESS). A frequency management approach is deployed to extend the longevity of the batteries through extensively utilizing the high energy density property of batteries and the high power density property of supercapacitors in the HESS framework. A low-pass filter (LPF) is employed to decouple the power between a battery and a supercapacitor (SC). The cost optimization of the HESS is computed based on the time constant of the LPF through extensive …


Effective Hair Styling Compositions And Processes, Yiqi Yang, Helan Xu, Kaili Song Nov 2020

Effective Hair Styling Compositions And Processes, Yiqi Yang, Helan Xu, Kaili Song

Department of Textiles, Merchandising and Fashion Design: Faculty Publications

This disclosure relates to hair styling compositions and processes , and more particularly to compositions for disentangling or crosslinking hair that are useful in hair styling processes.


Artificial Intelligence Enabled Distributed Edge Computing For Internet Of Things Applications, Georgios Fragkos Nov 2020

Artificial Intelligence Enabled Distributed Edge Computing For Internet Of Things Applications, Georgios Fragkos

Electrical and Computer Engineering ETDs

Artificial Intelligence (AI) based techniques are typically used to model decision-making in terms of strategies and mechanisms that can conclude to optimal payoffs for a number of interacting entities, often presenting competitive behaviors. In this thesis, an AI-enabled multi-access edge computing (MEC) framework is proposed, supported by computing-equipped Unmanned Aerial Vehicles (UAVs) to facilitate Internet of Things (IoT) applications. Initially, the problem of determining the IoT nodes optimal data offloading strategies to the UAV-mounted MEC servers, while accounting for the IoT nodes’ communication and computation overhead, is formulated based on a game-theoretic model. The existence of at least one Pure …


Formal Concept Analysis Applications In Bioinformatics, Sarah Roscoe Nov 2020

Formal Concept Analysis Applications In Bioinformatics, Sarah Roscoe

School of Computing: Dissertations, Theses, and Student Research

Bioinformatics is an important field that seeks to solve biological problems with the help of computation. One specific field in bioinformatics is that of genomics, the study of genes and their functions. Genomics can provide valuable analysis as to the interaction between how genes interact with their environment. One such way to measure the interaction is through gene expression data, which determines whether (and how much) a certain gene activates in a situation. Analyzing this data can be critical for predicting diseases or other biological reactions. One method used for analysis is Formal Concept Analysis (FCA), a computing technique based …


Hybrid Rf Acoustic Resonators And Arrays With Integrated Capacitive And Piezoelectric Transducers, Adnan Zaman Nov 2020

Hybrid Rf Acoustic Resonators And Arrays With Integrated Capacitive And Piezoelectric Transducers, Adnan Zaman

USF Tampa Graduate Theses and Dissertations

Over the past few decades, the usage of mobile communication devices such as smartphones, laptop computers, tablets has grown significantly. Clearly, smartphones and other mobile gadgets have been leading the current and emerging market thanks to the fast growing of wireless communications. Therefore, the wireless communications market is constantly looking for new ways to miniaturize the RF front-ends, while reducing the size, cost, and power consumption. Radio frequency microelectromechanical systems (RF MEMS) is widely viewed as a potential enabling technology for the multi-standard monolithic transceivers on a single chip with high reliability, high performance, and very low DC power consumption. …


A Bibliometric Survey Of Smart Wearable In The Health Insurance Industry, Apeksha Shah, Swati Ahirrao, Shraddha Phansalkar, Ketan Kotecha Nov 2020

A Bibliometric Survey Of Smart Wearable In The Health Insurance Industry, Apeksha Shah, Swati Ahirrao, Shraddha Phansalkar, Ketan Kotecha

Library Philosophy and Practice (e-journal)

Smart wearables help real-time and remote monitoring of health data for effective diagnostic and preventive health care services. Wearable devices have the ability to track and monitor healthcare vitals such as heart rate, physical activities, BMI (Body Mass Index), blood pressure, and keeps an individual notified about the health status. Artificial Intelligence-enabled wearables show an ability to transform the health insurance sector. This would not only enable self-management of individual health but also help them focus from treatments to the preventions of health hazards. With this customer-centric approach to health care, it will enable the insurance companies to track the …


Fuzzy Logic Based Control For Membrane Oxygenator In Blood Purification Process, Hany Hazfiza Manap Nov 2020

Fuzzy Logic Based Control For Membrane Oxygenator In Blood Purification Process, Hany Hazfiza Manap

Student Works (2020-2029)

Membrane oxygenator in Extracorporeal Life Support (ECLS) is commonly used as a main component in Cardiopulmonary Bypass (CPB), Extracorporeal Membrane Oxygenator (ECMO) and Extracorporeal Carbon Dioxide Removal (ECCO2R). In this study, the focus is on Carbon Dioxide (CO2) gas exchange process in membrane oxygenator, which the CO2 is automatically controlled by adjusting sweep gas flow rate that entering the membrane oxygenator in achieving the desired pCO2 required by the particular patients. This automatic control action is controlled by the implementation of three controllers, Proportional-IntegralDerivative (PID) that is tuned by Ziegler-Nichols continuous cycling method, Fuzzy Logic Controller (FLC) and Fuzzy-PID controllers. …


Opto-Fluidic Manipulation Of Microparticles And Related Applications, Hao Wang Nov 2020

Opto-Fluidic Manipulation Of Microparticles And Related Applications, Hao Wang

USF Tampa Graduate Theses and Dissertations

Contemporary biomedical technologies introduce many new instruments that are important for diagnosis and treatment of the patients. Instrument that can do rapid detection of bacterial infections, and further direct medical practitioner to prescribe optimal antibiotics is highly desirable. But unfortunately, this instrument is not available yet. Ideally, this instrument has to be portable to be used at point-of-care. This means it has to be small and inexpensive, but still highly accurate. Another critical requirement for the instrument is that the test results have to be available promptly. Because in case of such complications of bacterial infections as sepsis, each additional …


Design And Implementation Of Intuitive Human-Robot Teleoperation Interfaces, Lei Wu Nov 2020

Design And Implementation Of Intuitive Human-Robot Teleoperation Interfaces, Lei Wu

USF Tampa Graduate Theses and Dissertations

We have designed and implemented a novel human-robot teleoperation interface based on an intuitive reference frame and hybrid inverse kinematics to perform activities of daily living(ADL) using multiple input devices.

Persons with disabilities often rely on caregivers or family members to assist in their daily living activities. Providing robotic assistants with easy and intuitive user interfaces to assist with ADL can improve their quality of life and lift some of the burdens on caregivers and family members. Current human-robot interface solutions, such as joysticks, Kinect based gesture recognition, and touchscreen-based solutions, including smartphones, are still far from being able to …


Coral Reef Restoration In The Tropical West Atlantic Amid The Covid-19 Pandemic, Linden Cheek Nov 2020

Coral Reef Restoration In The Tropical West Atlantic Amid The Covid-19 Pandemic, Linden Cheek

USF Tampa Graduate Theses and Dissertations

Climate change is increasing threats to coasts, both from storm surge and sea level rise. Healthy coral reefs provide reduction in storm surges, wave energy, coastal flooding and everyday erosion, and are found across a variety of spatial scales. Given the state of coral reefs worldwide, active Coral Reef Restoration (CRR) in emerging as a necessary component of coastal protection. CRR can be classified as a nature-based solutions (NbS) for coastal protection that also provides a multitude of ecosystem-based services to both humans and other life. Nearly all literature on coral restoration efforts assume a steady-state of human-ecological interactions, but …


A Framework For Assessing The Reliability, Availability, Maintainability, And Safety (Rams) Of Decentralized Sanitation, Adefunké Adeosun Nov 2020

A Framework For Assessing The Reliability, Availability, Maintainability, And Safety (Rams) Of Decentralized Sanitation, Adefunké Adeosun

USF Tampa Graduate Theses and Dissertations

In established industry sectors, Reliability, Availability, Maintainability, and Safety (RAMS) risk assessments are normally used to compare the risks associated with different technologies on process units. Sanitation solutions are split into traditional wastewater treatment which is centralized treatment and can be classified as an established industry, and decentralized treatment such as pit latrines and septic tank systems which are on much smaller scales. Also they can be classified as non-conventional methods such as reinvented advanced decentralized non-sewered sanitation solution techniques exist mainly in two forms as “Single-User Reinvented Toilet (SURT)” systems or “Multiple-User Reinvented Toilet (MURT)” systems. Advanced decentralized non-sewered …


Urine Volume Reduction During Long-Duration Cave Exploration By A Light-Weight And Portable Forward Osmosis System, Sebastian Engelhardt, Katey E. Bender, Jörg Vogel, Stephen E. Duirk, Francisco B. Moore, Hazel A. Barton Nov 2020

Urine Volume Reduction During Long-Duration Cave Exploration By A Light-Weight And Portable Forward Osmosis System, Sebastian Engelhardt, Katey E. Bender, Jörg Vogel, Stephen E. Duirk, Francisco B. Moore, Hazel A. Barton

International Journal of Speleology

The preservation of caves is a challenge during long-duration cave expeditions where human waste can add significant nitrogen to the cave ecosystem. Since the removal of urine that accumulates during a multi-day caving trip is not always feasible due to weight and volume constraints, a light-weight and portable filtration system that is capable of reducing urine volume would be desirable. In this study we tested the Aquaporin Inside hollow fiber membrane in a forward osmosis (FO) setup to evaluate its capability to reduce urine volume while rejecting nitrogenous compounds using different draw solution chemistries and water recovery rates. As a …


An Approach To Counting Vehicles From Pre-Recorded Video Using Computer Algorithms, Mishuk Majumder Nov 2020

An Approach To Counting Vehicles From Pre-Recorded Video Using Computer Algorithms, Mishuk Majumder

LSU Master's Theses

One of the fundamental sources of data for traffic analysis is vehicle counts, which can be conducted either by the traditional manual method or by automated means. Different agencies have guidelines for manual counting, but they are typically prepared for particular conditions. In the case of automated counting, different methods have been applied, but You Only Look Once (YOLO), a recently developed object detection model, presents new potential in automated vehicle counting. The first objective of this study was to formulate general guidelines for manual counting based on experience gained in the field. Another goal of this study was to …


Engineering Characteristics Of Nest Building Geomaterials Used By Mud Dauber Species, Noura Saleh Nov 2020

Engineering Characteristics Of Nest Building Geomaterials Used By Mud Dauber Species, Noura Saleh

LSU Master's Theses

Mud dauber wasps construct their nests using soil from adjacent areas. Mud dauber nests have been studied from an entomological perspective. However; the properties of the nest material remain unexplored from a soil engineering perspective. This study investigated the physical and mechanical properties of the nest soil for use in future bio-inspired design to improve soil behavior as a construction material. To achieve this goal, nests from three mud dauber species (black and yellow, organ pipe, and steel blue) were collected from locations near Baton Rouge, Louisiana. The shape, weight, moisture content, organic content, and specific gravity of the nests …


Water-Energy Nexus: Studies On Salinity Gradient Energy Harvest And Desalination, Guangcai Tan Nov 2020

Water-Energy Nexus: Studies On Salinity Gradient Energy Harvest And Desalination, Guangcai Tan

LSU Doctoral Dissertations

Water and energy are fundamentally linked, and both are important for the development of human society. The demand for renewable energy and freshwater are two global challenges in the 21st century. Herein, a novel chloride-ion (Cl−) concentration flow cell (CFC) based on two symmetrical electrodes (BiCl3, CoCl2, VCl3, or BiOCl) separately by a cation-exchange membrane was used as an efficient method to recover salinity gradient (SG) energy. The CFC with metal chloride electrodes (BiCl3, CoCl2, and VCl3) was based on Cl− extraction/insertion, and that …


Adsorption And Reconfiguration Of Amphiphiles At Silica-Water Interfaces: Role Of Electrostatic Interactions, Van Der Waals Forces And Hydrogen Bonds, Yao Wu Nov 2020

Adsorption And Reconfiguration Of Amphiphiles At Silica-Water Interfaces: Role Of Electrostatic Interactions, Van Der Waals Forces And Hydrogen Bonds, Yao Wu

LSU Doctoral Dissertations

The ability to explore and predict metastable structures of hybrid self-assemblies is of central importance for the next generation of advanced materials with novel properties. As compared to their thermodynamically stable forms, the kinetically stabilized materials show improved functionality potentially over their stable counterparts. The self-assembly processes usually originate from weak intermolecular interactions, involving a dynamic competition between attractive and repulsive interactions. These weak forces, including van der Waals (vdW), electrostatic interaction and the hydrogen bonding (H-bonding), can be tuned by external stimuli, e.g., confinement, temperature and ionization, and consequently driving hybrid materials into different configurations. It is challenging to …


Improvement Of The Effectiveness Of Greywacke Crushing Process By Applying An Impact Crusher In Quarry For The Production Of Railway Ballast, Krzysztof Kurus, Karolina Jąderko-Skubis Nov 2020

Improvement Of The Effectiveness Of Greywacke Crushing Process By Applying An Impact Crusher In Quarry For The Production Of Railway Ballast, Krzysztof Kurus, Karolina Jąderko-Skubis

Journal of Sustainable Mining

The production of aggregates in rock mining requires an optimal system of crushers, separators and conveyors. Proper machine selection allows to obtain aggregates with appropriate technical parameters and increase the output of required fractions with a given unit cost. The usage of rock raw materials for the production of railway ballast used in the railway track superstructure is connected with the necessity to meet strictly defined quality requirements.

This paper presents an example of the use of an impact crusher in a selected quarry for the purpose of obtaining the correct parameters of railway ballast and a suitable grain curve. …


Investigation Of Bolted Connections In Cold-Formed Steel Members Using Sae J429 Bolts, Babak Yeganeh, Cheng Yu Nov 2020

Investigation Of Bolted Connections In Cold-Formed Steel Members Using Sae J429 Bolts, Babak Yeganeh, Cheng Yu

American Iron and Steel Institute (AISI) Specifications, Standards, Manuals and Research Reports (1946 - present)

The report presents a research project aimed at comparing ASTM and SAE J429 bolts. The research includes comparison of those two bolt standards in terms of tensile strength, chemical and mechanical properties, shanks length, head size, thread profile and bolt styles. The research shows that the overall dimension, tensile strength, head and shank size for both standards are the same and no considerable difference is observed.


Be Students Engage With Industry Leaders At Virtual Conference, Usu College Of Engineering Nov 2020

Be Students Engage With Industry Leaders At Virtual Conference, Usu College Of Engineering

College of Engineering News

Nov. 9, 2020 — The Biological Engineering Department hosted its third annual Intermountain Biological Conference on Oct. 30 and 31. This year’s theme was Biological Engineering’s Impact on Public Health. Featured speakers came from industry partners and government agencies. The event was held virtually due to COVID-19 restrictions. For the poster session, students were required to submit a video explaining their research along with a digital poster.


Ensemble Labeling Towards Scientific Information Extraction (Elsie), Erin Murphy Nov 2020

Ensemble Labeling Towards Scientific Information Extraction (Elsie), Erin Murphy

College of Computing and Digital Media Dissertations

Extracting scientific facts from unstructured text is difficult due to challenges specific to the ambiguity of the language, the complexity of the scientific named entities and relations to be extracted. This problem is well illustrated through the extraction of polymer names and their properties. Even in the cases where the property is a temperature, identifying the polymer name associated with the temperature may require expertise due to the use of acronyms, synonyms, complicated naming conventions and by the fact that new polymer names are being “introduced” to the vernacular as polymer science advances. While there exist domain-specific machine learning toolkits …


Recent Advances In Reducing Food Losses In The Supply Chain Of Fresh Agricultural Produce, Daniel I. Onwude, Guangnan Chen, Nnanna Eke-Emezie, Abraham Kabutey, Al Fadhl Yahya Al Khaled, Barbara Sturm Nov 2020

Recent Advances In Reducing Food Losses In The Supply Chain Of Fresh Agricultural Produce, Daniel I. Onwude, Guangnan Chen, Nnanna Eke-Emezie, Abraham Kabutey, Al Fadhl Yahya Al Khaled, Barbara Sturm

Biosystems and Agricultural Engineering Faculty Publications

Fruits and vegetables are highly nutritious agricultural produce with tremendous human health benefits. They are also highly perishable and as such are easily susceptible to spoilage, leading to a reduction in quality attributes and induced food loss. Cold chain technologies have over the years been employed to reduce the quality loss of fruits and vegetables from farm to fork. However, a high amount of losses (≈50%) still occur during the packaging, transportation, and storage of these fresh agricultural produce. This study highlights the current state-of-the-art of various advanced tools employed to reducing the quality loss of fruits and vegetables during …


Adaptive Water Infrastructure Planning For A Changing World, Sarah Fletcher Nov 2020

Adaptive Water Infrastructure Planning For A Changing World, Sarah Fletcher

All ECSTATIC Materials

Water planners face the challenge of ensuring reliable water supply for people and the environment. Long-term changes and short-term variability in both the natural and social environments create large uncertainty in future water supply and demand. This makes it difficult to know when and how to adapt water systems through operational changes, policy, and infrastructure development. Adaptive planning approaches, in which planners defer action and respond as the system changes over time, have the potential to enable robustness to an uncertain future without unnecessary infrastructure development or policy changes. However, adaptive approaches may prevent planners from leveraging economies of scale, …


Atmospheric Measurements With Unmanned Aerial Systems (Uas), Marcelo I. Guzman Nov 2020

Atmospheric Measurements With Unmanned Aerial Systems (Uas), Marcelo I. Guzman

Chemistry Faculty Publications

This Special Issue provides the first literature collection focused on the development and implementation of unmanned aircraft systems (UAS) and their integration with sensors for atmospheric measurements on Earth. The research covered in the Special Issue combines chemical, physical, and meteorological measurements performed in field campaigns as well as conceptual and laboratory work. Useful examples for the development of platforms and autonomous systems for environmental studies are provided, which demonstrate how careful the operation of sensors aboard UAS must be to gather information for remote sensing in the atmosphere. The work serves as a key collection of articles to introduce …


Predicting Quality Of Delivery Metrics For Adaptive Video Codec Sessions, Obinna Izima, Ruairí De Fréin, Mark Davis Nov 2020

Predicting Quality Of Delivery Metrics For Adaptive Video Codec Sessions, Obinna Izima, Ruairí De Fréin, Mark Davis

Conference papers

Predicting video quality will continue to be an active area of research given the dominance of video traffic for years to come. Network service practitioners that are poised to handle the strain on the existing limited bandwidth constraints are better placed to be SLA-compliant. The dynamic and time-varying nature of cloud-hosted services require improved techniques to realize accurate models of the systems. To address this challenge: (1) we propose Codec-aware Network Adaptation Agent (cNAA), an online light-weight data learning engine that achieves accurate and correct predictions of quality of delivery (QoD) metrics, namely jitter for video services. cNAA achieves this …


Efficient Neural Architecture Search With Multiobjective Evolutionary Optimization, Maria Gabriela Baldeón Calisto Nov 2020

Efficient Neural Architecture Search With Multiobjective Evolutionary Optimization, Maria Gabriela Baldeón Calisto

USF Tampa Graduate Theses and Dissertations

Deep neural networks have become very successful at solving many complex tasks such as image classification, image segmentation, and speech recognition. These models are composed of multiple layers that have the capacity to learn increasingly higher-level features, without prior handcrafted specifications. However, the success of a deep neural network relies on finding the proper configuration for the task in hand. Given the vast number of hyperparameters and the massive search space, manually designing or fine-tuning deep learning architectures requires extensive knowledge, time, and computational resources.

There is a growing interest in developing methods that automatically design a neural network´s architecture, …