Engineering Commons^™

In Vitro Atherosclerosis Disease Model Via The Ring Stacking Method, Cameron Brandon Pinnock

Wayne State University Dissertations

Creation of an in vitro atherosclerotic disease model using the novel Ring Stacking Method. Singular self-assembling tissue rings made up smooth muscle cells and fibrin hydrogel are stacked on one another to create a tissue engineered vessel. These biologically engineered blood vessels are then seeded with endothelial cells via combined static rotational and dynamic bioreactor in order to create a functional intima layer. Early stage atherosclerosis was induced via the addition of oxidized low-density lipoproteins (ox-LDL) to the fibrin hydrogel that creates the media layer of the engineered vessel. After the creation of the intima layer the engineered vessel was …

Study Of Grain Growth In Single-Phase Polycrystals, Pawan Vedanti

Wayne State University Dissertations

Materials with random microstructure are characterized by additional thermodynamic parameters, entropy and temperature of microstructure. It has been argued that there is one more law of thermodynamics: entropy of microstructure decays in isolated systems. This assertion has been checked experimentally for the process of grain growth which showed that entropy of grain structure decays indeed as expected. The equation of state for microstructure entropy has also been studied. In general, entropy of grain microstructure is expected to be a function of grain structure energy and the average grain size. Our experiments suggest that in fact, the equation of state degenerates …

Error Correction For Automotive Telematics Systems, Samer Zakhem

Wayne State University Dissertations

One benefit of data communication over the voice channel of the cellular network is to reliably transmit real-time high priority data in case of life critical situations. An important implementation of this use-case is the pan-European eCall automotive standard, which has already been deployed since 2018. This is the first international standard for mobile emergency call that was adopted by multiple regions in Europe and the world. Other countries in the world are currently working on deploying a similar emergency communication system, such as in Russia and China. Moreover, many experiments and road tests are conducted yearly to validate and …

Development Of A Novel Cardiac Ischemia-Reperfusion Model In The Axolotl, Jeremy Tolentino Llaniguez

Wayne State University Dissertations

The Center for Disease Control’s National Center for Health Statistics data for mortality from diseases of the heart show the age-adjusted death rate has fallen from almost 600 deaths in the 1950s to just over 190 deaths per 100,000 U.S. residents today. With the recognized limitations of pharmacotherapy of myocardial infarction (MI), cell-based therapies have been undergoing rapid development and clinical testing. However, there is still no consensus about cell types, delivery routes, dosing and treatment schedules and pretreatment conditioning of cells prior to administration. Furthermore, a fundamental question remains unanswered about the reasons for the poor capacity for myocardial …

Parylene Based Flexible Multifunctional Biomedical Probes And Their Applications, Zhiguo Zhao

Wayne State University Dissertations

MEMS (Micro Electro Mechanical System) based flexible devices have been studied for decades, and they are rapidly being incorporated into modern society in various forms such as flexible electronics and wearable devices. Especially in neuroscience, flexible interfaces provide tremendous possibilities and opportunities to produce reliable, scalable and biocompatible instruments for better exploring neurotransmission and neurological disorders. Of all the types of biomedical instruments such as electroencephalography (EEG) and electrocorticography (ECoG), MEMS-based needle-shape probes have been actively studied in recent years due to their better spatial resolution, selectivity, and sensitivity in chronical invasive physiology monitoring. In order to address the inherent …

Incorporating Cardiac Substructures Into Radiation Therapy For Improved Cardiac Sparing, Eric Daniel Morris

Wayne State University Dissertations

Growing evidence suggests that radiation therapy (RT) doses to the heart and cardiac substructures (CS) are strongly linked to cardiac toxicities, though only the heart is considered clinically. This work aimed to utilize the superior soft-tissue contrast of magnetic resonance (MR) to segment CS, quantify uncertainties in their position, assess their effect on treatment planning and an MR-guided environment.

Automatic substructure segmentation of 12 CS was completed using a novel hybrid MR/computed tomography (CT) atlas method and was improved upon using a 3-dimensional neural network (U-Net) from deep learning. Intra-fraction motion due to respiration was then quantified. The inter-fraction setup …

Advanced Electrodes And Electrolytes For Long-Lived And High-Performance Lithium-Sulfur Batteries, Deepesh Gopalakrishnan

Wayne State University Dissertations

ABSTRACT

ADVANCED ELECTRODES AND ELECTROLYTES FOR LONG-LIVED AND HIGH-PERFORMANCE LITHIUM-SULFUR BATTERIES

by

DEEPESH GOPALAKRISHNAN

August 2020

Advisor: Dr. Leela Mohana Reddy Arava

Major: Mechanical Engineering

Degree: Doctor of Philosophy

Lithium – Sulfur (Li-S) batteries have received much attention and considered as a promising candidate for next generation energy storage devices because of their high theoretical energy density (≈2600 Wh kg‒1) and environmental friendliness. However, the uncontrollable growth of lithium dendrites in the lithium metal anode and the fatal effect of polysulfide shuttle hinder their practical applications. The formation of dendrites during repeated Li plating/stripping processes results in: reduced Li availability …

Stochastic Programming Models For Electric Vehicles’ Operation: Network Design And Routing Strategies, Seyed Sajjad Fazeli

Wayne State University Dissertations

Logistic and transportation (L&T) activities become a significant contributor to social and economic advances throughout the modern world Road L&T activities are responsible for a large percentage of CO2 emissions, with more than 24% of the total emission, which mostly caused by fossil fuel vehicles. Researchers, governments, and automotive companies put extensive effort to incorporate new solutions and innovations into the L&T system. As a result, Electric Vehicles (EVs) are introduced and universally accepted as one of the solutions to environmental issues. Subsequently, L&T companies are encouraged to adopt fleets of EVs. Integrating the EVs into the logistic and transportation …

Spatiotemporal Release Of Growth Factors In A Biomaterial-Focused Organotypic Spinal Cord Injury Model, Elizabeth Mays

Wayne State University Dissertations

Over 17,000 people per year in the United States sustain a spinal cord injury (SCI) for which there is no gold standard of care and life-long complications. SCI is a complex wound environment with various growth factors (GFs), cellular activity, and scar formation at various timepoints. For example, basic fibroblast growth factor (bFGF) is released immediately to protect local support cells, namely oligodendrocytes (OLs). Brain derived neurotrophic factor (BDNF) has peak expression at 2-3 days in mice and 5-7 days in humans, and aids axonal growth across the injury site. Incidentally this is around the same time as M1 macrophage …

Design Thinking & Strategic Product Planning For Highly Engineered Products, Shannon Dare Wayne

Wayne State University Dissertations

This paper offers an integrated framework to systematically address routine challenges plaguing early product development for highly engineered and complex products, such as automobiles. The framework includes up-front strategic product planning leveraging ‘design thinking’ and ‘design execution’ through a structured process to enable adaptation under uncertainties in the product development lifecycle for customer delight and program success. Included is product planning, from fuzzy front-end until product launch, and prioritizing aligned strategic initiatives while integrating design thinking throughout the process. We also discuss two real-world case studies to emphasize the efficacy of the framework and to demonstrate practical examples of how …

An Approach To Evaluate Disability Using Machine Learning And Sensor-Equipped Instruments Demonstrated On Hand Grip Force Data, Prem Kumar Sivakumar

Wayne State University Dissertations

The goal of this research is to improve the process of rehabilitation. Even though the current tools and technologies are meeting the requirements of clinical use, there is a lot of room for improvement. Improving the tools used in therapy can help reduce costs and save time for the patient and the therapist by giving a valuable insight into the progress of the therapeutic process. Combining therapeutic tools with cognitive tools such as machine learning can assist a therapist to determine and predict functional ability and help patients keep track of their progress.

The long-term goal for instrumented outcome measures …

Automatic Resource Management And Performance Optimization In Clusters, Yudi Wei

Wayne State University Dissertations

Virtual machine is a primary way to increase resource utilizations in data centers by encapsulating multi-resource demands for applications and providing performance isolation. Moreover, the resource configuration can change on the fly to satisfy performance target. Container is another popular way for fine-grained multi-resource allocation. In this disser- tation work, we aim to design and implement an automatic resource management system to improve application performance, optimize system efficiency and job completion times in virtual and physical clusters respectively.

For large-scale applications hosted in data center, automatic resource configuration is crucial to service availability and quality. The workload dynamics, cloud dynamics …

Design And Practical Implementation Of Harmonic-Transponder Sensors, Nasser Alkhaldi

Wayne State University Dissertations

Harmonic radar is a nonlinear detection technology that transmits and receives

radio-frequency (RF) signals at orthogonal frequencies, so as to suppress the undesired

clutters, echoes and electromagnetic interreferences due to multipath scattering.

Its implementation generally comprises a nonlinear tag (i.e, a harmonic transponder),

which picks the interrogation signal at specific fundamental frequency (f0) and converts

it into a high/sub-harmonic signal (nf0). Such a technology has been successfully

applied to tracking small insects and detection of electrically-small objects in

the rich-scattering environment. Similarly, a harmonic sensor is used to interrogate

electrically-small and passive sensors, of which the magnitude and peak frequency …

Learning Models For Corrupted Multi-Dimensional Data: Fundamental Limits And Algorithms, Ishan Jindal

Wayne State University Dissertations

Developing machine learning models for unstructured multi-dimensional datasets such as datasets with unreliable labels and noisy multi-dimensional signals with or without missing information have becoming a central necessity. We are not always fortunate enough to get noise-free datasets for developing classification and representation models. Though there is a number of techniques available to deal with noisy datasets, these methods do not exploit the multi-dimensional structures of the signals, which could be used to improve the overall classification and representation performance of the model.

In this thesis, we develop a Kronecker-structure (K-S) subspace model that exploits the multi-dimensional structure of the …

Analysis Of Factors Influencing Return On Investment (Roi) For Building Information Modeling (Bim) Implementation, Tugce Kulaksiz

Wayne State University Dissertations

A research study was conducted to investigate and understand factors influencing Return on Investment of Building Information Modeling (BIM).

Research data was collected from 182 industry professionals (design firms, contractors and owners) using a survey instrument. The research data were evaluated by examining frequency distributions and running statistical analyses including an analysis of variance with post hoc tests and a multiple linear regression analysis. Furthermore, a simulation study was conducted to infer conclusions about the larger population from which the repeated samples were taken. The research findings revealed that the factors contributing to Return on Investment of BIM implementation were: …

Utilizing Immunopet To Measure Tumor Response To Treatment In Breast Cancer, Brooke Mcknight

Wayne State University Dissertations

With a broad spectrum of therapies available for treating breast cancer, the need for personalized medicine tailoring the cure according to phenotype is evident. Such an approach may be fully realized with the development of quantitative imaging technologies for disease detection, staging and diagnosis, without increasing patient burden. Immuno-positron emission tomography (PET) combines the targeted specificity of antibodies with the sensitivity of PET for whole body imaging by targeting molecular features amplified in lesions. ImmunoPET probes targeting different antigens and their utility to measure response to treatment were explored. 89Zr-trastuzumab was employed as a surrogate readout of Src inhibition after …

Understanding The Impact Of Virtual-Mirroring Based Learning On Collaboration In A Data And Analytics Function: A Resilience Perspective, Nabil Raad

Wayne State University Dissertations

Large multinational organizations are struggling to adapt and innovate in the face of increasing turbulence, uncertainty, and complexity. The lack of adaptive capacity is one of the major risks facing such organizations as the rapid change in technology, urbanization, socio-economic trends, and regulations continues to accelerate and outpace their ability to adapt. This is a resilience problem that organizations are addressing by investing in Data and Analytics to improve their innovation and competitive capabilities. However, Data and Analytics projects are more likely to fail than to succeed. Competing on data and analytics is not only a technical challenge but also …

Data-Driven Intelligent Scheduling For Long Running Workloads In Large-Scale Datacenters, Guoyao Xu

Wayne State University Dissertations

Cloud computing is becoming a fundamental facility of society today. Large-scale public or private cloud datacenters spreading millions of servers, as a warehouse-scale computer, are supporting most business of Fortune-500 companies and serving billions of users around the world. Unfortunately, modern industry-wide average datacenter utilization is as low as 6% to 12%. Low utilization not only negatively impacts operational and capital components of cost efficiency, but also becomes the scaling bottleneck due to the limits of electricity delivered by nearby utility. It is critical and challenge to improve multi-resource efficiency for global datacenters.

Additionally, with the great commercial success of …

Analysis And Mitigation Of The Impacts Of Delays In Control Of Power Systems With Renewable Energy Sources, Chang Fu

Wayne State University Dissertations

ABSTRACT

Analysis and Mitigation of the Impacts of Delays in Control of Power Systems

with Renewable Energy Sources

by

Chang Fu

Apr. 2019

Advisor : Dr. Caisheng Wang

Major : Electrical and Computer Engineering

Degree : Doctor of Philosophy

With the integration of renewable resources, electric vehicles and other uncertain

resources into power grid, varieties of control topology and algorithms have been proposed to

increase the stability and reliability of the operation system. Load modeling is an critical part

in such analysis since it significantly impacts the accuracy of the simulation in power system,

as well as stability and reliability …

Optimal Assessment Of Weigh-In-Motion Data For Structural Reliability Based Rating Of Bridge Superstructures, Sasan Siavashi

Wayne State University Dissertations

The first objectives of this research are to propose a simplified procedure to reduce the vehicle dataset need to be considered for load rating of bridge superstructures. The second objective is to explore the effectiveness of Reliability Based Design Optimization (RBDO) to develop a State-specific rating load model for a set of bridge superstructures. Finally, an alternative novel approach to develop rating models as effective as an ideal RBDO solution is proposed. The proposed solutions can substantially reduce the computational effort while not compromising the level of accuracy.

Spectral Methods For Hamiltonian Systems And Their Applications, Lewei Zhao

Wayne State University Dissertations

Hamiltonian systems typically arise as models of conservative physical systems and have many applications. Our main emphasis is using spectral methods to preserve both symplectic structure and energy up to machine error in long time. An engery error estimation is given for a type of Hamiltonian systems with polynomial nonlinear part, which is numerical verified by solving a Henon-Heiles systems. Three interesting applications are presented : the first one is the N-body problems. The second one is approximation for Weyl's Law and the third one is simulating quantum cooling in an optomechanical system to study the dissipative dynamics. Moreover, nonsmooth …

3d Scanning And The Impact Of The Digital Thread On Manufacturing And Re-Manufacturing Applications, Mojahed Alkhateeb

Wayne State University Dissertations

3D laser line scanners are becoming a powerful technology for capturing point cloud datasets and collecting dimensional information for many objects. However, the use of point cloud is limited due to many factors. These include the lack of on deep understanding of the effect of point cloud parameters on scan quality. This knowledge is critical to gaining an understanding of the measurement in point cloud. Currently, there are no adequate measurement procedures for 3D scanners. There is a need for standardized measurement procedures to evaluate 3D scanner accuracy due to uncertainties in 3D scanning, such as surface quality, surface orientation …

Optimization Of Underbody Blast Energy-Attenuating Seat Mechanisms Using Modified Madymo Hybrid Iii And Human Body Models, Kelly Erin Bryan Bosch

Wayne State University Dissertations

Energy attenuating (EA) blast seats, although not new to the market, have not been fully characterized with respect to energy attenuation capability and the resulting effects on occupant protection. EA seats utilize stroking mechanisms to absorb energy and reduce the vertical forces imparted on the occupant’s pelvis and lower spine complex. Although a variety of EA seats are available on the market, the fundamental question behind how to optimize the force and deflection rates of the EA mechanisms to effectively reduce occupant injury has not yet been answered. Using modeling and simulation techniques, this research developed a tool to determine …

Gentamicin-Modified Nanocarriers For Placental Targeted Drug Delivery To Treat Pregnancy-Related Complications, Ali Alfaifi

Wayne State University Dissertations

Diseases of pregnancy are the leading cause of maternal and neonatal morbidity and mortality affecting more than 20% (26 million) of all pregnancies annually. Those diseases include preeclampsia, preterm labor, intrauterine growth restriction and gestational diabetes, many of which are caused by compromised functions of the placenta. Placenta is a specialized organ that is only present during pregnancy where it creates a maternal-fetal interface that is responsible for many functions that contribute to the development of the fetus. Unfortunately, there is currently no treatment for any of those diseases. Our work focuses on the development of a novel nanoplatform that …

Engineering Of Gold Nanoparticles For Drug Delivery, Fangchao Liu

Wayne State University Dissertations

Due to their ease of synthesis, versatile surface chemistry, ease of imaging, and biocompatibility, gold nanoparticles (AuNPs) are employed as drug delivery devices in the treatment of respiratory problems associated with spinal cord injury (SCI). We have developed a method for the synthesis of a tripartite nanoconjugate comprised of an AuNP drug carrier chemically conjugated to a transporter protein (wheat germ agglutinin coupled to horseradish peroxidase or WGA-HRP) and to potent SCI drugs. The therapeutic efficacy and biodistribution were studied in a validated animal model. Our results show that a single administration of the nanoconjugate improved diaphragmatic activity at a …

Rare-Earth-Activated Group Vi D0 Metal Oxides As Thermosensitive Phosphors, Samarage Sameera Perera

Wayne State University Dissertations

ABSTRACT

RARE-EARTH-ACTIVATED GROUP VI d0 METAL OXIDES AS

THERMOSENSITIVE PHOSPHORS

by

SAMARAGE SAMEERA PRASAD PERERA

AUGUST 2019

Advisor: Dr. Federico A. Rabuffetti

Major: Chemistry

Degree: Doctor of Philosophy

Thermosensitive phosphors are solid-state materials that demonstrate distinct dependence of luminescence emission on temperature. These materials enable optical temperature sensing in environments where conventional thermometry is not possible (e.g., gas turbines, combustion engines, surface temperature distributions). However, the design of thermosensitive phosphors that show adequate sensitivity and low thermal quenching in the intermediate temperature range (i.e., 500–1000 K) remains challenging. This challenge can be addressed by understanding how to rationally manipulate the …

Optical Nanostructures For Controllable And Tunable Optical Properties, Ashfaqul Anwar Anwar Siraji

Wayne State University Dissertations

Optical nanostructures are heterogeneous media containing subwavelength inclusions in periodic or aperiodic fashion. The optical properties of optical nanostructure can be controlled and tuned using their constituent material properties and spatial arrangement of the inclusions. While optical nanostructures have been widely studied, controllable and tunable nanostructures using low loss transparent materials has not been studied in detail in the literature. The objective of this research is to perform efficient design and analyses of controllable and tunable optical nanostructures using low loss transparent materials.

To that end, versatile and highly accurate numerical methods like finite different tie domain and plane wave …

Understanding The Relationship Of Innovation And Quality In A Fast-Changing Market: An Automotive Industry Perspective, Donna Leanne Bell

Wayne State University Dissertations

In a time when the consumer electronics industry is getting new products to market at a rapid rate, automotive original equipment manufacturers (OEM) must identify ways of getting new products and features to customers faster and with high quality to maintain or increase market share. This accelerated product development process requires a positive relationship between conceptual design and quality in order for a firm to have high performance in strategic areas innovation and quality. The purpose of this dissertation is to research the impact that quality practices have on the advanced product development process. Specifically, this research is focused on …

Self-Delivery Drug Amphiphilies In Chemotherapy And Immunotherapy, Jingchao Xi

Wayne State University Dissertations

Eliminating the need for external delivery systems, self-delivery drug amphiphiles represent a simple yet effective approach designed to overcome the various biological barriers for drug delivery. The ability to program the molecular structures and the physicochemical properties, which control the interactions between the drug amphiphiles and their biological surroundings has attracted significant research interests. In this work, we constructed several amphiphilic drugs including chemotherapeutic and immunotherapeutic agents. These amphiphiles exhibited interesting interactions with their biological surroundings. Amphiphiles self-assemble into spherical micelle structures in aqueous solution. However, in the presence of complexed biological fluids, they also possess a strong affinity toward …

Force Field Optimization, Advanced Sampling, And Free Energy Methods With Gpu-Optimized Monte Carlo (Gomc) Software, Mohammad Soroush Barhaghi

Wayne State University Dissertations

In this work, to address the sampling problem for systems at high densities and low temperatures, a generalized identity exchange algorithm is developed for grand canonical Monte Carlo simulations. The algorithm, referred to as Molecular Exchange Monte Carlo (MEMC), is implemented in the GPU-Optimized Monte Carlo (GOMC) software and may be applied to multicomponent systems of arbitrary molecular topology, and provides significant enhancements in the sampling of phase space over a wide range of compositions and temperatures. Three different approaches are presented for the insertion/deletion of the large molecules, and the pros and cons of each method are discussed. Next, …