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Articles 3691 - 3720 of 10505
Full-Text Articles in Engineering
Physics-Based Signal Processing Methods For Terahertz Non-Destructive Evaluation Of Layered Media, Scott G. Schecklman
Physics-Based Signal Processing Methods For Terahertz Non-Destructive Evaluation Of Layered Media, Scott G. Schecklman
Dissertations and Theses
In recent years Terahertz (THz) time domain spectroscopy has emerged as a promising new technology with potential applications in a variety of fields, including industrial manufacturing, security screening and medical imaging. Pulsed THz systems are uniquely suited for non-destructive evaluation (NDE) of the sub-surface layers of dielectric packaging and coating materials, because they provide high dynamic range over a wide bandwidth in the far infrared portion of the electromagnetic spectrum. Often the dielectric materials of the packaging and/or surface coating layers exhibit relatively low loss and abrupt changes in the refractive index at the layer boundaries can be observed as …
Machine Learning With Multi-Class Regression And Neural Networks: Analysis And Visualization Of Crime Data In Seattle, Erkin David George
Machine Learning With Multi-Class Regression And Neural Networks: Analysis And Visualization Of Crime Data In Seattle, Erkin David George
Honors Projects
This article examines the implications of machine learning algorithms and models, and the significance of their construction when investigating criminal data. It uses machine learning models and tools to store, clean and analyze data that is fed into a machine learning model. This model is then compared to another model to test for accuracy, biases and patterns that are detected in between the experiments. The data was collected from data.seattle.gov and was published by the City of Seattle Data Portal and was accessed on September 17, 2018. This research will be looking into how machine learning models can be used …
A Spatially Enhanced Data‐Driven Multimodel To Improve Semiseasonal Groundwater Forecasts In The High Plains Aquifer, Usa, A. Amaranto, Francisco Munoz-Arriola, D. P. Solomatine, G. Corzo
A Spatially Enhanced Data‐Driven Multimodel To Improve Semiseasonal Groundwater Forecasts In The High Plains Aquifer, Usa, A. Amaranto, Francisco Munoz-Arriola, D. P. Solomatine, G. Corzo
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The aim of this paper is to improve semiseasonal forecast of groundwater availability in response to climate variables, surface water availability, groundwater level variations, and human water management using a two‐step data‐driven modeling approach. First, we implement an ensemble of artificial neural networks (ANNs) for the 300 wells across the High Plains aquifer (USA). The modeling framework includes a method to choose the most relevant input variables and time lags; an assessment of the effect of exogenous variables on the predictive capabilities of models; and the estimation of the forecast skill based on the Nash‐Sutcliffe efficiency (NSE) index, the normalized …
Smart Management Strategies Of Utility-Scale Energy Storage Systems In Power Networks, Choton Kanti Das
Smart Management Strategies Of Utility-Scale Energy Storage Systems In Power Networks, Choton Kanti Das
Theses: Doctorates and Masters
Power systems are presently experiencing a period of rapid change driven by various interrelated issues, e.g., integration of renewables, demand management, power congestion, power quality requirements, and frequency regulation. Although the deployment of Energy Storage Systems (ESSs) has been shown to provide effective solutions to many of these issues, misplacement or non-optimal sizing of these systems can adversely affect network performance. This present research has revealed some novel working strategies for optimal allocation and sizing of utility-scale ESSs to address some important issues of power networks at both distribution and transmission levels. The optimization strategies employed for ESS placement and …
Qualitative And Quantitative Flow Visualization Studies On A Distorted Hydraulic Physical Model, Patrick Scott
Qualitative And Quantitative Flow Visualization Studies On A Distorted Hydraulic Physical Model, Patrick Scott
LSU Master's Theses
The submergence of coastal wetlands in south Louisiana leaves communities, commerce, industry, and ecosystems vulnerable to extreme weather events and human and natural disasters. The state of Louisiana has developed a plan to mitigate coastal land loss and with the help of Louisiana State University and the Lower Mississippi River Physical Model, projects like large scale sediment diversions will be extensively tested and researched to ensure proper implementation and operation. Due to scaling and distortion of the physical model, complete similitude with its prototype is not expected and scale effects are anticipated to affect the hydrodynamics and, as a result, …
Atmospheric Deposition Of Nitrogen And Sulfur In China: Current Status And Future Changes, Cheng Shi
Atmospheric Deposition Of Nitrogen And Sulfur In China: Current Status And Future Changes, Cheng Shi
LSU Master's Theses
Dry and wet deposition of nitrogen (N) and sulfur (S) has detrimental impacts on the health of both human and ecosystems. Intensive human activities are responsible for elevating emissions and deposition of N and S species. Large population and fast industrial development led China to one of the countries with highest acid deposition. The large fluxes of N and S deposition have caused acidification of surface water and soil, which damages plant growth and biodiversity in China. N and S deposition has been investigated using ground-based monitoring networks and satellite-based sensors. The limitation of location of monitoring sites and performance …
Performance Based Design For Bridge Piers Impacted By Heavy Trucks, Anil K. Agrawal
Performance Based Design For Bridge Piers Impacted By Heavy Trucks, Anil K. Agrawal
INSPIRE Archived Webinars
Based on bridge failure data compiled by New York State Department of Transportation, collision, both caused by vessel and vehicles, is the second leading cause of bridge failures after hydraulic. Current AASHTO-LRFD (2012) recommends designing a bridge pier vulnerable to vehicular impacts for an equivalent static force of 600 kips (2,670 kN) applied in a horizontal plane at a distance of 5.0 feet above the ground level. This research presents a performance-based approach for designing a bridge pier subject to impacts by tractor-semi-trailer weighing up to 80,000 lb based on an extensive investigation using finite element model of a tractor-semitrailer …
Agora Teaching App, Sam Burns, Daisuke Kurita, Casey Xuereb
Agora Teaching App, Sam Burns, Daisuke Kurita, Casey Xuereb
Computer Science and Engineering Senior Theses
Professional development of teachers normally ends after formal collegiate education. Agora desires to help educators continually train, to learn the skills of good teaching in classrooms by using various, non-traditional methodologies. By translating Agoras current platform to an app, Agora can widen their scope and serve Latin American countries outside of Peru, where they are currently based. We will simply take their current business and course platform and provide a mobile user interface for it. By expanding the reach of Agora, Latin American teachers will be well equipped to teach their classes with innovation and effectiveness.
A Physical And Computational Reverse-Engineering Approach To Determine Dimensional Change And Its Relationship To Oxidation In Retrieved Orthopedic Implants, Josephine Kalshoven
A Physical And Computational Reverse-Engineering Approach To Determine Dimensional Change And Its Relationship To Oxidation In Retrieved Orthopedic Implants, Josephine Kalshoven
ENGS 88 Honors Thesis (AB Students)
Oxidation of the Ultra-High Molecular Weight Polyethylene (UHMWPE) tibial inserts of total knee arthroplasty devices is a major factor underlying multiple modes of failure for these devices, including delamination, wear, and fracture. Previous research has demonstrated that oxidation of UHMWPE is driven by a high concentration of free radicals in the polyethylene. However, even new devices created with undetectable amounts of free radicals are oxidizing in vivo. One theory is that, in the absence of residual free radicals, oxidation is facilitated by absorbed species (e.g. lipids, ROS) delivered or exacerbated by contact stress. However, no method exists to comprehensively …
Exploration Vs. Data Refinement Via Multiple Mobile Sensors, Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Exploration Vs. Data Refinement Via Multiple Mobile Sensors, Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Electrical and Computer Engineering Faculty Publications
We examine the deployment of multiple mobile sensors to explore an unknown region to map regions containing concentration of a physical quantity such as heat, electron density, and so on. The exploration trades off between two desiderata: to continue taking data in a region known to contain the quantity of interest with the intent of refining the measurements vs. taking data in unobserved areas to attempt to discover new regions where the quantity may exist. Making reasonable and practical decisions to simultaneously fulfill both goals of exploration and data refinement seem to be hard and contradictory. For this purpose, we …
Spiking Networks For Improved Cognitive Abilities Of Edge Computing Devices, Anton Akusok, Yoan Miche, Kaj Mikael Björk, Renjie Hu, Leonardo Espinosa Leal, Amaury Lendasse
Spiking Networks For Improved Cognitive Abilities Of Edge Computing Devices, Anton Akusok, Yoan Miche, Kaj Mikael Björk, Renjie Hu, Leonardo Espinosa Leal, Amaury Lendasse
Engineering Management and Systems Engineering Faculty Research & Creative Works
This Concept Paper Highlights a Recently Opened Opportunity for Large Scale Analytical Algorithms to Be Trained Directly on Edge Devices. Such Approach is a Response to the Arising Need of Processing Data Generated by Natural Person (A Human Being), Also Known as Personal Data. Spiking Neural Networks Are the Core Method Behind It: Suitable for a Low Latency Energy-Constrained Hardware, Enabling Local Training or Re-Training, While Not Taking Advantage of Scalability Available in the Cloud.
Strength Tuned Steel Eccentric Braced Frames, Hosam Abdullah Al-Azzawi
Strength Tuned Steel Eccentric Braced Frames, Hosam Abdullah Al-Azzawi
Dissertations and Theses
The primary component in eccentrically braced frames (EBF) is the link as its plastic strength controls the design of the frame as well as the entire building within which it is installed. EBFs are the first part of building design and every other component is sized based on the forces developed in the link. Oversized link elements lead to the use of unnecessary materials and can increase construction costs. Additionally, the advantages of using a continuous member of the same depth for both the link and the controller beam (in terms of the cost and the time) motivates researchers to …
Uhf And Microwave Phase-Modulated Scattering Array, Nasr Nomas Hussein Alkhafaji
Uhf And Microwave Phase-Modulated Scattering Array, Nasr Nomas Hussein Alkhafaji
Dissertations and Theses
This dissertation investigates the use an array of active nonlinear elements, with particular emphasis on controlling distortion products generated by nonlinear elements in space rather than using conventional ways such as transmission lines, waveguides, and power dividers and combiners. The nonlinear elements are made of assemblies of antennas and electronic switches, called modulated scatterers (MSs). These so-called MSs elements are utilized in a wide variety of applications such as radio frequency identification (RFID) systems, microwave imaging, Internet-of-Things sensors, etc. However, no research work has been reported in the literature regarding exploiting and controlling several distortion products generated by MSs at …
Analytical And Numerical Modeling Of Long Term Changes To Tides, Storm Surge, And Total Water Level Due To Bathymetric Changes And Surge Characteristics, Ramin Familkhalili
Analytical And Numerical Modeling Of Long Term Changes To Tides, Storm Surge, And Total Water Level Due To Bathymetric Changes And Surge Characteristics, Ramin Familkhalili
Dissertations and Theses
Natural and local anthropogenic changes in estuaries (e.g., sea-level rise, navigation channel construction and loss of wetlands) interact with each other and produce non-linear effects. There is also a growing recognition that tides in estuaries are not stationary. These factors together are changing the estuarine water level regime, however the implications for extreme water levels remain largely unknown. Changes over the past century in many estuaries, such as channel deepening and streamlining for navigation have significantly altered the hydrodynamics of long waves, often resulting in amplified tides (a ~85% increase in Wilmington, NC since 1900) and storm surge in estuaries. …
Road Scholar Core Course #1 - Asset Management, Pat Conner P.E.
Road Scholar Core Course #1 - Asset Management, Pat Conner P.E.
Indiana Local Technical Assistance Program (LTAP) Conference Proceedings
This course provides a detailed overview of the concepts of asset management and how to apply these concepts to the planning and operations of a local public agency. This course will also provide detailed information on the LTAP Data Management System (DMS) and the tools and resources available to assist in your Pavement Asset Management Plan (PAMP) preparation.
While several components can make up a transportation asset management plan, this course will focus on pavement management and how to identify the condition of existing road networks. Attendees will also be presented effective methods for establishing priorities and developing policies and …
Material Parameter Estimation Of Thin Wafers With Terahertz Time-Domain Spectroscopy, Kirk R. Jungles
Material Parameter Estimation Of Thin Wafers With Terahertz Time-Domain Spectroscopy, Kirk R. Jungles
Maseeh Summer Undergraduate Research Experience
Terahertz Time Domain Spectroscopy(THz TDS) is a spectroscopic technique that can be implemented to perform non destructive material parameter extraction on a variety of materials. Accuracy of these material parameters is often limited by statistical variation between measurements and insufficient knowledge of the thickness of the slabs being measured.
The goal of this project was to develop an in house procedure that would allow us to perform THz TDS on thin wafers using an up to date signal processing algorithm that would provide accurate predictions for the thickness of the wafers, reliable estimations of the wafer’s material parameters, and demonstration …
Omni-Gravity Hydroponics System For Spacecraft, Tara M. Prevo
Omni-Gravity Hydroponics System For Spacecraft, Tara M. Prevo
Maseeh Summer Undergraduate Research Experience
Effective omni-gravity hydroponics will allow astronauts to supplement nutrition and further close the life cycle of water in orbit, lunar, and Martian conditions. This project determines the operational limits of the test cells for the Plant Water Management Hydroponics mission. A scaled 1-g channel was designed by Rihana Mungin to mimic full-scale performance in microgravity that could be tested terrestrially. This project sought to find the limits of operation of the 1-g test cells and identify failure modes that could pose a safety risk in space. The cells were filled at increments of 20% and cycled from 0.184 to 8.33 …
System Identification Based On Errors-In-Variables System Models, Hyundeok Kang
System Identification Based On Errors-In-Variables System Models, Hyundeok Kang
LSU Doctoral Dissertations
We study the identification problem for errors-in-variables (EIV) systems. Such an EIV model assumes that the measurement data at both input and output of the system involve corrupting noises. The least square (LS) algorithm has been widely used in this area. However, it results in biased estimates for the EIV-based system identification. In contrast, the total least squares (TLS) algorithm is unbiased, which is now well-known, and has been effective for estimating the system parameters in the EIV system identification.
In this dissertation, we first show that the TLS algorithm computes the approximate maximum likelihood estimate (MLE) of the system …
Application Of Pressure And Rate Transient Analyses To Stress-Sensitive Multi-Fractured Composite Systems And Compartmentalized Reservoirs, Oscar Mauricio Molina
Application Of Pressure And Rate Transient Analyses To Stress-Sensitive Multi-Fractured Composite Systems And Compartmentalized Reservoirs, Oscar Mauricio Molina
LSU Doctoral Dissertations
Pressure transient analysis (PTA) is one of the most robust and commonly interpretation tools available for reservoir characterization. Common applications of PTA include estimation of near-wellbore and reservoir properties, detection of reservoir limits and identification of depletion mechanisms. In addition, PTA allows the identification of sealing and leaky faults and the characterization of its properties, such as permeability and transmissibility hence direction of leakage within the fault.
The purpose of this dissertation is to introduce the analytical solution for pressure-transient behavior for three novel reservoir models. First, we develop the analytical model of a multi-fracture horizontal well (MFHW) with pressure-dependent …
Promarc: An Online Skills And Projects Marketplace, Connor Carraher, Victor Yu
Promarc: An Online Skills And Projects Marketplace, Connor Carraher, Victor Yu
Computer Science and Engineering Senior Theses
Technical projects can vary greatly in terms of cost, complexity, and time. Project leads spend a lot of valuable time and energy making sure that their teams are organized and on-task. A major part of their responsibilities includes putting together a team with the right skills in order to maximize efficiency. Having a platform where project leads can quickly find team members with the right skills would save them a lot of stress and trouble. The goal of this project is to deliver such a platform, where users can make posts about their projects and the technical skills that they …
A Flexible Bch Decoder For Flash Memory Systems Using Cascaded Bch Codes, Arul K. Subbiah
A Flexible Bch Decoder For Flash Memory Systems Using Cascaded Bch Codes, Arul K. Subbiah
Engineering Ph.D. Theses
NAND ash memories are widely used in consumer electronics, such as tablets, personal computers, smartphones, and gaming systems. However, unlike other standard storage devices, these ash memories suffer from various random errors. In order to address these reliability issues, various error correction codes (ECC) are employed. Bose-Chaudhuri Hocquenghem (BCH) code is the most common ECC used to address the errors in modern ash memories. Because of the limitation of the realization of the BCH codes for more extensive error correction, the modern ash memory devices use Low-density parity-check (LDPC) codes for error correction scheme. The realization of the LDPC decoders …
Evaluating The Potential For Renewable Energy Technology At Us Ski Resorts, Tyler Farrell
Evaluating The Potential For Renewable Energy Technology At Us Ski Resorts, Tyler Farrell
ENGS 86 Independent Projects (AB Students)
The ski industry is one of the most at-risk industries as a result of climate change. Warming temperatures and decreasing snowfall are contributing to a decline in skier visitations, shorter seasons, and higher energy costs. Currently, only 3 of 478 ski resorts in the United States rely on 100% renewable energy sources. The intent of this paper is to understand what the issues and barriers are to renewable energy development at ski resorts, and what technologies are feasible and appropriate for this industry to develop. While the renewable energy industry faces many issues and barriers, the ski industry faces its …
Equivalent Standard Fire Duration To Evaluate Internal Temperatures In Natural Fire Exposed Rc Beams, Robert T. Kuehnen, Maged A. Youssef
Equivalent Standard Fire Duration To Evaluate Internal Temperatures In Natural Fire Exposed Rc Beams, Robert T. Kuehnen, Maged A. Youssef
Civil and Environmental Engineering Publications
With the recent shift towards performance-based fire design, practical methods to account for natural fire loading when designing concrete structures are needed. Available design methods and analysis approaches are based on standard fire curves. To apply these methods, a natural fire event can be converted to a standard fire with a specific duration (time equivalent). However, existing time equivalents often ignore the influence of internal temperature gradients on the section behaviour, which is unacceptable for concrete structures.
This paper introduces a time equivalent method suitable for reinforced concrete (RC) beams exposed to natural fire. The method is based on the …
Synthesis Of Metal Oxide Surfaces And Interfaces With Crystallographic Control Using Solid-Liquid-Vapor Etching And Vapor-Liquid-Solid Growth, Beth S. Guiton, Lei Yu
Synthesis Of Metal Oxide Surfaces And Interfaces With Crystallographic Control Using Solid-Liquid-Vapor Etching And Vapor-Liquid-Solid Growth, Beth S. Guiton, Lei Yu
Chemistry Faculty Patents
The present invention provides integrated nanostructures comprising a single-crystalline matrix of a material A containing aligned, single-crystalline nanowires of a material B, with well-defined crystallographic interfaces are disclosed. The nanocomposite is fabricated by utilizing metal nanodroplets in two subsequent catalytic steps: solid-liquid-vapor etching, followed by vapor-liquid-solid growth. The first etching step produces pores, or “negative nanowires” within a single-crystalline matrix, which share a unique crystallographic direction, and are therefore aligned with respect to one another. Further, since they are contained within a single, crystalline, matrix, their size and spacing can be controlled by their interacting strain fields, and the array …
Using Big Data Analytics To Improve Hiv Medical Care Utilisation In South Carolina: A Study Protocol, Bankole Olatosi, Jiajia Zhang, Sharon Weissman, Jianjun Hu, Mohammad Rifat Haider, Xiaoming Li
Using Big Data Analytics To Improve Hiv Medical Care Utilisation In South Carolina: A Study Protocol, Bankole Olatosi, Jiajia Zhang, Sharon Weissman, Jianjun Hu, Mohammad Rifat Haider, Xiaoming Li
Faculty Publications
Introduction Linkage and retention in HIV medical care remains problematic in the USA. Extensive health utilisation data collection through electronic health records (EHR) and claims data represent new opportunities for scientific discovery. Big data science (BDS) is a powerful tool for investigating HIV care utilisation patterns. The South Carolina (SC) office of Revenue and Fiscal Affairs (RFA) data warehouse captures individual-level longitudinal health utilisation data for persons living with HIV (PLWH). The data warehouse includes EHR, claims and data from private institutions, housing, prisons, mental health, Medicare, Medicaid, State Health Plan and the department of health and human services. The …
Methods For Using Manpower To Assess Usaf Strategic Risk, Calvin J. Bradshaw Iii
Methods For Using Manpower To Assess Usaf Strategic Risk, Calvin J. Bradshaw Iii
Theses and Dissertations
With limited personnel resource funding availability, senior US Air Force (USAF) decision makers struggle to base enterprise resource allocation from rigorous analytical traceability. There are over 240 career fields in the USAF spanning 12 enterprises. Each enterprise develops annual risk assessments by distinctive core capabilities. A core capability (e.g. Research and Development) is an enabling function necessary for the USAF to perform its mission as part of the Department of Defense (DOD). Assessing risk at the core capability is a good start to assessing risk, but is still not comprehensiveness enough. One of the twelve enterprises has linked its task …
Mapping Modeled Exposure Of Wildland Fire Smoke For Human Health Studies In California, Patricia Koman, Michael Billmire, Kirk Baker, Ricardo De Majo, Frank Anderson, Sumi Hoshiko, Brian Thelen, Nancy H. F. French
Mapping Modeled Exposure Of Wildland Fire Smoke For Human Health Studies In California, Patricia Koman, Michael Billmire, Kirk Baker, Ricardo De Majo, Frank Anderson, Sumi Hoshiko, Brian Thelen, Nancy H. F. French
Michigan Tech Publications, Part 1
Wildland fire smoke exposure affects a broad proportion of the U.S. population and is increasing due to climate change, settlement patterns and fire seclusion. Significant public health questions surrounding its effects remain, including the impact on cardiovascular disease and maternal health. Using atmospheric chemical transport modeling, we examined general air quality with and without wildland fire smoke PM2.5. The 24-h average concentration of PM2.5 from all sources in 12-km gridded output from all sources in California (2007–2013) was 4.91 μg/m3. The average concentration of fire-PM2.5 in California by year was 1.22 μg/m3 (~25% …
Seismic Performance Of Substandard Reinforced Concrete Bridge Columns Under Subduction-Zone Ground Motions, Alvaro Francisco Lopez Ibaceta
Seismic Performance Of Substandard Reinforced Concrete Bridge Columns Under Subduction-Zone Ground Motions, Alvaro Francisco Lopez Ibaceta
Dissertations and Theses
A large magnitude, long duration subduction earthquake is impending in the Pacific Northwest, which lies near the Cascadia Subduction Zone (CSZ). Great subduction zone earthquakes are the largest earthquakes in the world and are the sole source zones that can produce earthquakes greater than M8.5. Additionally, the increased duration of a CSZ earthquake may result in more structural damage than expected. Given such seismic hazard, the assessment of reinforced concrete substructures has become crucial in order to prioritize the bridges that may need to be retrofitted and to maintain the highway network operable after a major seismic event. Recent long …
Living Shorelines As Alternative Methods Of Shoreline Protection, Hunter Shows
Living Shorelines As Alternative Methods Of Shoreline Protection, Hunter Shows
LSU Master's Theses
Louisiana’s marshes and coastal estuaries are losing habitat at an alarming rate. High rates of sea level rise coupled with coastal subsidence are turning once thriving marsh land into open water. The sediment starved Mississippi River Delta is drowning, making families homes, property, and livelihoods increasingly vulnerable every year. Significant funding is being allocated for projects to offset the increasing erosion including but not limited to diversions, marsh creation, ridge restoration, and shoreline protection projects.
Living shorelines, for the sake of this study, can be defined as a form of shoreline protection which helps shoreline stabilization and erosion reduction while …
A Decision-Making Tool For Incorporating Cradle-To-Gate Sustainability Into Pavement Design, Sujata Subedi
A Decision-Making Tool For Incorporating Cradle-To-Gate Sustainability Into Pavement Design, Sujata Subedi
LSU Master's Theses
The need to continually maintain an aged and crumbling national roadway network, together with a growing demand for upgrading has resulted in major environmental and economic impacts around the nation. This has led to an interest in developing a structured framework to quantify the sustainability performance of pavements by balancing economic and environmental performance against engineering criteria. This study developed an Environment Product Declaration (EPD) based, decision-making framework to quantify the sustainability of pavement design alternatives. In this study, the sustainability of pavement is described in tandem with Environmental and Economic performance criteria. First, the Environmental analysis was inclusive of …