Engineering Commons^™

An Evaluation Of Proposed And Current Cardiovascular Stent Design Approaches To Aortoiliac Occlusive Disease, Alexander Wirtz

McKelvey School of Engineering Graduate Student Theses & Dissertations

Aortoiliac occlusive disease is a subsequent disease of atherosclerosis involving the accumulation of plaque on the lining of the artery wall causing the artery lumen to narrow at the site of the aortic bifurcation. To prevent foreseeable embolization threats or ischemia, revascularization of the aortic bifurcation is commonly treated by arterial stenting. The most common practice of arterial stenting of aortoiliac occlusive disease is using balloon expandable stents. Traditionally, in order to prevent encroachment and/or occlusion of one iliac system by the stenting of the other, two balloon expandable stents are placed in the aortic bifurcation adjacently (kissing) at the …

Completing Cooperative Task By Utilizing Eeg-Based Brain Computer Interface, Jongwoon Kim

McKelvey School of Engineering Graduate Student Theses & Dissertations

We sought to design a cooperative brain computer interface (BCI), wherein multiple users contribute brain activities that are decoded towards a common goal. We used a base design involving collection of electroencephalographic (EEG) brain activity from a low-cost consumer system (the Muse Headband), then classified the ensuing signals into different mental states as either relaxed or focused. The goal of the cooperative BCI was to have two subjects drive a cursor on the screen to some acceptance range given a prescribed path. Each subject was responsible for controlling either the direction or the displacement of the ball. EEG patterns for …

Exploiting Click-Chemistry And Microfluidics To Map The Neuronal Itinerary Of App Processing And Amyloid-Beta Generation, Namratha Srinivas

McKelvey School of Engineering Graduate Student Theses & Dissertations

Alzheimer’s disease (AD) is a chronic neurodegenerative disease and is the sixth leading cause of death in the United States with approximately 5.5 million Americans diagnosed with it. The neuropathological hallmark includes extracellular senile plaques and intraneuronal neurofibrillary tangles. Recent GWAS studies have identified genes associated with AD, and have revealed several classes of genes implicated in disease pathogenesis. In particular, three general pathways associated with an increased risk of AD included: 1) cholesterol metabolism, innate immune system, and the membrane trafficking. Our lab has focused on intracellular trafficking as it relates to the processing of amyloid precursor protein (APP), …

Optimization Of Gpu-Accelerated Iterative Ct Reconstruction Algorithm For Clinical Use, Tao Ge

McKelvey School of Engineering Graduate Student Theses & Dissertations

In order to transition the GPU-accelerated CT reconstruction algorithm to a more clinical environment, a graphical user interface is implemented. Some optimization methods on the implementation are presented. We describe the alternating minimization (AM) algorithm as the updating algorithm, and the branchless distance-driven method for the system forward operator. We introduce a version of the Feldkamp-Davis-Kress algorithm to generate the initial image for our alternating minimization algorithm and compare it to a choice of a constant initial image. For the sake of better rate of convergence, we introduce the ordered-subsets method, find the optimal number of ordered subsets, and discuss …

Modeling Of Swimming Cells From Nano-Scale To Micro-Scale, Yicheng Zhao

McKelvey School of Engineering Graduate Student Theses & Dissertations

Certain human genetic diseases -- primary ciliary dyskinesia, infertility, and hydrocephalus -- are characterized by changes in beat frequency and waveform of cilia and flagella. Chlamydomonas reinhardtii, which is a single-cell green alga about ten micrometers in diameter that swims with two flagella, serves as an excellent biological model because its flagella share the same structure and genetic background as mammalian cilia and flagella. This study uses the finite element method to investigate the behavior of C. reinhardtii swimming from nano-scale to micro-scale. At the device-level, micro-scale modeling indicates that well-designed acoustic microfluidic devices can be used to trap groups …

Precognition: Automated Digital Forensic Readiness System For Mobile Computing Devices In Enterprises, Jayaprakash Govindaraj, Robin Verma, Gaurav Gupta

Annual ADFSL Conference on Digital Forensics, Security and Law

Enterprises are facing an unprecedented risk of security incidents due to the influx of emerging technologies, like smartphones and wearables. Most of the current Mobile security systems are not maturing in pace with technological advances. They lack the ability to learn and adapt from the past knowledge base. In the case of a security incident, enterprises find themselves underprepared for the lack of evidence and data. The systems are not designed to be forensic ready. There is a need for automated security analysis and forensically ready solution, which can learn and continuously adapt to new challenges, improve efficiency and productivity …

The Road Towards Image-Computable Models Of Human Visual Grasp Planning, Guido Maiello, Lina K. Klein, Vivian C. Paulun, Katherine R. Storrs, Roland W. Fleming

MODVIS Workshop

No abstract provided.

Unmanned Aerial Vehicle Forensic Investigation Process: Dji Phantom 3 Drone As A Case Study, Alan Roder, Kim-Kwang Raymond Choo, Nhien-A Le-Khac

Annual ADFSL Conference on Digital Forensics, Security and Law

Drones (also known as Unmanned Aerial Vehicles – UAVs) are a potential source of evidence in a digital investigation, partly due to their increasing popularity in our society. However, existing UAV/drone forensics generally rely on conventional digital forensic investigation guidelines such as those of ACPO and NIST, which may not be entirely fit-for-purpose. In this paper, we identify the challenges associated with UAV/drone forensics. We then explore and evaluate existing forensic guidelines, in terms of their effectiveness for UAV/drone forensic investigations. Next, we present our set of guidelines for UAV/drone investigations. Finally, we demonstrate how the proposed guidelines can be …

A Feature-Based Model Of Visually Perceiving Deformable Objects, Vivian C. Paulun, Filipp Schmidt, Roland W. Fleming

MODVIS Workshop

No abstract provided.

The Santa Clara, 2018-05-17, Santa Clara University

The Santa Clara

No abstract provided.

Nanostructure-Enabled And Macromolecule-Grafted Surfaces For Biomedical Applications, Madeline Small, Addison Faglie, Alexandra J. Craig, Martha Pieper, Vivian E. Fernand Narcisse, Pierre F. Neuenschwander, Shih-Feng Chou

Mechanical Engineering Faculty Publications and Presentations

Advances in nanotechnology and nanomaterials have enabled the development of functional biomaterials with surface properties that reduce the rate of the device rejection in injectable and implantable biomaterials. In addition, the surface of biomaterials can be functionalized with macromolecules for stimuli-responsive purposes to improve the efficacy and effectiveness in drug release applications. Furthermore, macromolecule-grafted surfaces exhibit a hierarchical nanostructure that mimics nanotextured surfaces for the promotion of cellular responses in tissue engineering. Owing to these unique properties, this review focuses on the grafting of macromolecules on the surfaces of various biomaterials (e.g., films, fibers, hydrogels, and etc.) to create nanostructure-enabled …

Foil-Based Additive Manufacturing System And Method, Hai-Lung Tsai, Yiyu Shen, Yingqi Li, Chen Chen

Mechanical and Aerospace Engineering Faculty Research & Creative Works

An additive manufacturing system, method of manufacturing, and fabricated part. The system uses a material joining laser system to join together foil sheets to form a metal part. The material joining laser system can be configured to join adjacent foil sheets together in a substantially uniform manner. The manufacturing system also includes a material removal system that removes material from selected locations of the foil sheets to shape the foil sheets to correspond with selective slices of the part. The material removal system can be a laser system, such as a laser system configured to remove material from a foil …

Sdnet2018: A Concrete Crack Image Dataset For Machine Learning Applications, Marc Maguire, Sattar Dorafshan, Robert J. Thomas

Browse all Datasets

SDNET2018 is an annotated image dataset for training, validation, and benchmarking of artificial intelligence based crack detection algorithms for concrete. SDNET2018 contains over 56,000 images of cracked and non-cracked concrete bridge decks, walls, and pavements. The dataset includes cracks as narrow as 0.06 mm and as wide as 25 mm. The dataset also includes images with a variety of obstructions, including shadows, surface roughness, scaling, edges, holes, and background debris. SDNET2018 will be useful for the continued development of concrete crack detection algorithms based on deep learning convolutional neural networks, which are a subject of continued research in the field …

Chronic Nerve Interfacing Utilizing Graft-Embedded Regenerative Macro-Sieve Electrodes, Amrita Nishtala

McKelvey School of Engineering Graduate Student Theses & Dissertations

Custom-designed macro-sieve electrodes represent a novel means of facilitating chronic high specificity nerve stimulation needed to control distal nerve musculature and restore sensorimotor function. Implantation of these electrodes requires the transection of the nerve, which has shown to disrupt muscle fiber distribution. This present study assesses the feasibility of implementing these electrodes in an end-to-side nerve graft. The macro-sieve electrodes were fabricated and micro-surgically implanted into 3.2 cm nerve autografts harvested from the sciatic nerve of 12 male Lewis rats. Electrode-enabled nerve grafts were micro-surgically implanted in an end-to-side manner into donor rat sciatic nerves without the need for a …

Fiber Optic Sensor And Methods For Highly-Sensitive Detection Of Strain In Large Frequency Range, Ming Han

Department of Electrical and Computer Engineering: Faculty Publications

An in-line fiber-optic sensing element, a system, and methods for detecting strain using a fiber optic sensor are described that include using at least two chirped grating structures. In an implementation, an in-line fiber-optic sensing element that employs example techniques in accordance with the present disclosure in includes an optically transmissive fiber including a core and an outer layer; a Fabry-Perot cavity defined by a portion of the optically transmissive fiber and two chirped fiber-Bragg grating structures, where the two chirped grating structures are separated and are configured to reflect light.

Why Latent Representations In Convolutional Neural Networks Fall Outside Visual Space, Katerina Malakhova

MODVIS Workshop

It is common to compare properties of visual information processing by artificial neural networks and the primate visual system.

Some remarkable similarities were observed in the responses of neurons in IT cortex and units in higher layers of CNNs. Here I show that latent representations formed by weights in convolutional layers do not necessarily reflect visual domain. Instead they are strongly dependent on a choice of training set and cost function.

The most striking example is when an individual unit, which is highly selective to some members of a category is, nevertheless, inhibited by visually similar objects of the same …

An Active Efficient Coding Model Of The Development Of Amblyopia, Samuel Eckmann, Lukas Klimmasch, Bertram Shi, Jochen Triesch

MODVIS Workshop

No abstract provided.

Decco: Deep-Learning Enabled Coverage And Capacity Optimization For Massive Mimo Systems, Yang Yang, Yang Li, Kai Li, Shuang Zhao, Rui Chen, Jun Wang, Song Ci

Department of Electrical and Computer Engineering: Faculty Publications

System capacity and service coverage are the most critical performance metrics in cellular wireless communication networks. Usually, system capacity enhancements are at the expense of service coverage degradations, and vice versa. This capacity-coverage tradeoff and the associated joint optimization problem becomes very challenging in massive multiple-input multiple-output (MIMO) wireless systems, due to a large amount of antenna tilt values to be configured and very sophisticated inter-cell interference conditions, under massive antenna scenarios. This paper proposes a novel approach, namely group alignment of user signal strength (GAUSS), to efficiently support the user scheduling for the massive MIMO system, and thus serve …

Design Of A Distributed Real-Time E-Health Cyber Ecosystem With Collective Actions: Diagnosis, Dynamic Queueing, And Decision Making, Yanlin Zhou

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

In this thesis, we develop a framework for E-health Cyber Ecosystems, and look into different involved actors. The three interested parties in the ecosystem including patients, doctors, and healthcare providers are discussed in 3 different phases. In Phase 1, machine-learning based modeling and simulation analysis is performed to remotely predict a patient's risk level of having heart diseases in real time. In Phase 2, an online dynamic queueing model is devised to pair doctors with patients having high risk levels (diagnosed in Phase 1) to confirm the risk, and provide help. In Phase 3, a decision making paradigm is proposed …

Voltage-Controlled Deposition Of Nanoparticles For Next Generation Electronic Materials, Subhodip Maulik

LSU Doctoral Dissertations

This work presents both a feasibility study and an investigation into the voltage-controlled spray deposition of different nanoparticles, namely, carbon nanotubes (CNTs), as well as molybdenum disulfide (MoS₂) and tungsten disulfide (WS₂) from the transition metal dichalcogenides (TMDCs) family of materials. The study considers five different types of substrates as per their potential application to next-generation device electronics. The substrates selected for this research were: 1) aluminum as a conducting substrate, 2) silicon as a semiconducting substrate, 3) glass, silicon dioxide (SiO₂), and syndiotactic poly methyl methacrylate (syndiotactic PMMA) as insulating substrates.

Since the …

Hypothesis Testing And Model Estimation With Dependent Observations In Heterogeneous Sensor Networks, Sima Sobhiyeh

LSU Doctoral Dissertations

Advances in microelectronics, communication and signal processing have enabled the development of inexpensive sensors that can be networked to collect vital information from their environment to be used in decision-making and inference. The sensors transmit their data to a central processor which integrates the information from the sensors using a so-called fusion algorithm. Many applications of sensor networks (SNs) involve hypothesis testing or the detection of a phenomenon. Many approaches to data fusion for hypothesis testing assume that, given each hypothesis, the sensors' measurements are conditionally independent. However, since the sensors are densely deployed in practice, their field of views …

Four-Wavelength Lidar For In-Situ Speciation Of Aerosols, Michael Wojcik, Alan Bird, Jason Wooden, Jim Peterson, Morgan Davidson, Monte Frandsen

Space Dynamics Laboratory Publications

The system and mechanical design of a four-wavelength lidar system is described. The system is designed to be maximally adaptive to deployment scenario in terms of both size/weight/power and detection application. The wavelengths included in the system are 266 nm, 355 nm, 1064 nm, and 1574 nm – all generated from Nd:YAG based pump laser sources. The system is designed to have a useful range from 400 meters to 5,000 meters, depending on the wavelength and atmospheric conditions.

Planning Of Fast-Charging Stations For A Battery Electric Bus System Under Energy Consumption Uncertainty, Richard T. Lyons, Ziqi Song, Yi He

Civil and Environmental Engineering Faculty Publications

Battery-powered electric buses are gaining popularity as an energy-efficient and emission-free alternative for bus fleets. However, battery electric buses continue to struggle with concerns related to their limited driving range and time-consuming recharging processes. Fast-charging technology, which utilizes dwelling time at bus stops or terminals to recharge buses in operation employing high power, can raise battery electric buses to the same level of capability as their diesel counterparts in terms of driving range and operating time. To develop an economical and effective battery electric bus system using fastcharging technology, fast-charging stations must be strategically deployed. Moreover, due to the instability …

Analysis Of Differences Between 2018 Iecc R406 Code Compliance And Ansi/Resnet/Icc Standard 301, Florida Solar Energy Center, Philip W. Fairey

FSEC Energy Research Center®

EnergyGauge USA is used to study outdoor air ventilation rates in energy-efficient, one-story 2000 ft², 3 bedroom, single-family homes in sixteen representative U.S. cities. Each of the 16 home archetypes is configured to be minimally compliant with the score requirements of Table R406.4 of the 2018 IECC as determined in accordance with ANSI/RESNET/ICC 301-2014. Each home is also configured to comply using two different compliance methods: the first with only high-efficiency options and the second utilizing on-site photovoltaic power generation. Each home configuration is evaluated using the ANSI/RESNET/ICC 301 Reference Home ventilation specification and again using the 2018 …

Providing Professional Development To Educational Professionals For Unmanned Aerial Vehicles (Uavs) In Agriculture., Ashley Cromer, Tyson Sorensen, Kelsey Hall

Applied Sciences, Technology, and Education Student Research

Unmanned aerial vehicles (UAVs), also called drones, have been used commercially since the early 1980s. Today however, practical application for UAVs are expanding faster than ever in a variety of industries. UAV technology has given the agriculture industry the possibility of a technological makeover. Specifically, UAVs give the opportunity for improved crop supervision, soil and field analyses, and the ability to more closely and timely monitor crops (Mazur & Wisniewski, 2016). In order to keep up with increasing demands, agriculture has to utilize every technology available to the industry. Based on a global report published by PricewaterhouseCoopers (PWC), the market …

Utah Agriculture Teachers’ Perceptions Of Teaching Urban And Non-Traditional Agriculture Content, Ashlee Cromer, Kelsey Hall, Tyson Sorensen, David Francis, Joshua Dallin

Applied Sciences, Technology, and Education Student Research

While agriculture teachers may focus on guiding students into agricultural and natural resource career pathways, many have expressed the need to prepare existing and upcoming agricultural educators with a more extensive set of skills and knowledge to better prepare students for a broader scope of career opportunities in agriculture. Agricultural education programs are expanding across the country, including more programs in urban areas, but agricultural education teachers often have little exposure or experiences related to less traditional agricultural careers that might be found in urban areas. Furthermore, agriculture teachers are often prepared to teach agricultural content through coursework that is …

Photoacoustic Elastography And Next-Generation Photoacoustic Tomography Techniques Towards Clinical Translation, Pengfei Hai

McKelvey School of Engineering Graduate Student Theses & Dissertations

Ultrasonically probing optical absorption, photoacoustic tomography (PAT) combines rich optical contrast with high ultrasonic resolution at depths beyond the optical diffusion limit. With consistent optical absorption contrast at different scales and highly scalable spatial resolution and penetration depth, PAT holds great promise as an important tool for both fundamental research and clinical application. Despite tremendous progress, PAT still encounters certain limitations that prevent it from becoming readily adopted in the clinical settings. This dissertation aims to advance both the technical development and application of PAT towards its clinical translation.

The first part of this dissertation describes the development of photoacoustic …

Application Of Metabolic Modeling And Machine Learning For Investigating Microbial Systems, Ni Wan

McKelvey School of Engineering Graduate Student Theses & Dissertations

Metabolic modeling is an important tool to interpret the comprehensive cell metabolism and dynamic relationship between substrates and biomass/bioproducts. Genome-scale flux balance model and 13C-metabolic flux analysis are metabolic models which can reveal the theoretical yield and central carbon metabolism under various environmental conditions. Kinetic model is able to capture the complex principles between the change of biomass growth and bioproducts accumulation with the time series. Machine learning model is a data driven approach to reveal fermentation behavior and further predict cell performance under complex circumstances. In my PhD study, modeling analysis and machine learning method have been used to …

Coupling Of Geochemical Reactions And Geophysical Properties Of Clay Minerals In Energy-Related Subsurface Engineered Systems, Lijie Zhang

McKelvey School of Engineering Graduate Student Theses & Dissertations

Engineered subsurface operations, such as geologic CO2 sequestration (GCS) and CO2-enhanced unconventional oil/gas recovery, are promising strategies to mitigate global warming and meet energy demands. At subsurface sites, CO2-saturated brine–mineral interactions can be affected by aqueous species, either naturally existing or injected, and the interactions may further affect the geophysical properties of rocks and minerals, such as their porosity, permeability, and wettability. Such geophysical properties can control the sealing integrity of the caprock layer, which is essential to safe and efficient long-term CO2 storage. Moreover, the flow and transport of fluids at subsurface sites are also influenced by the geophysical …

Static And Dynamic Quantitative Microbial Risk Assessment Of Potable Reuse Paradigms, Erfaneh Amoueyan

UNLV Theses, Dissertations, Professional Papers, and Capstones

In recent years, potable reuse applications have become more common due to population growth and increased water demand, especially in communities with limited or variable water resources. However, there are concerns about potential exposure to pathogens and chemical compounds in treated wastewater. Therefore, advanced wastewater treatment processes are of paramount importance in any potable reuse system. The overall aim of this study was to develop and implement static and dynamic QMRAs to compare public health risk in various potable reuse scenarios. Cryptosporidium, norovirus, adenovirus, and Salmonella were chosen as the target pathogens. The research evaluated the performance of full advanced …