Physical Sciences and Mathematics Commons^™

Parameter Assignment And Schedulability Analysis For Real-Time Multiframe Task Systems, Bo Peng

Wayne State University Dissertations

Schedulability analysis has been considered as one of the most important subjects in real-time systems. Schedulability analysis decides whether all tasks work correctly and safely in a system. For example, the schedulability analysis of an Air Traffic Control (ATC) system should ensure that all airplanes do not have conflicts on departure lanes and are scheduled on time. In a modern car system, it has been shown that there are more than one hundred engine control units (ECUs), and more than twenty million lines of code in a typical modern car [19]. The scheduling of such complex systems is required to …

Diffusion Of Gold Nanoparticles Within Polymer Solutions And Gels, Kavindya Kumari Senanayake R W H

Wayne State University Dissertations

Soft matter is a subfield of condensed matter physics including systems, such as polymers, colloidal dispersions, liquid crystals, surfactants. Understanding their interaction and dynamics is essential for many interdisciplinary fields of study as well as important for technological advancements. We used gold nanoparticles (AuNPs) to investigate the length-scale dependent dynamics in dilute, semidilute, entangled polymer solutions and gels. Two-photon fluctuation correlation spectroscopy (FCS) technique was used to investigate the translation diffusion coefficient of AuNPs. For polymer solutions, we found that existing hydrodynamic and obstruction models are inadequate to describe the size dependence of the particle diffusion coefficient. Within entangled Poly …

Colloidal Dynamics Within Polymer Solutions And Complex Fluids, Namita Shokeen

Wayne State University Dissertations

Soft matter is a subfield of condensed matter physics that includes the study of colloidal dynamics. This is important in multidisciplinary fields for technological and medical advancements. My research focused on quantifying the dynamics of nano and micron-sized particles within various media using two-photon fluorescence correlation spectroscopy (FCS) and differential dynamic microscopy (DDM). FCS is a single photon sensitive technique that detects spontaneous fluctuations in fluorescence during dynamical processes over time while DDM used optical microscopy to analyze the colloidal motion in Fourier space. The diffusion coefficient (D) of 25 nm radii particles within aqueous entangled solutions of polyethylene oxide …

Nonadiabatic Dynamics: A Semiclassical Approach, Ruixi Wang

Wayne State University Dissertations

Nonadiabatic dynamics has been an essential part of quantum chemistry since the 1930’s. Nonadiabatic effects play a crucial role in photo-physical and photo-chemical reactions for both small and large molecules in both gas and condensed phases. Modeling dynamics of photoinduced reactions has been a new frontier of chemistry. Many dynamical phenomena, such as intersystem crossing, non-radiative relaxation, and charge energy transfer, require a nonadiabatic description which incorporates transitions between electronic states.

In Chapter 2, the property of scattering region in the semiclassical limit is investigated. We suggest that a nuclear wavepacket close enough to the conical intersection will propagate ballistically …

Data Driven Approach To Characterize And Forecast The Impact Of Freeway Work Zones On Mobility Using Probe Vehicle Data, Mohsen Kamyab

Wayne State University Dissertations

The presence of work zones on freeways causes traffic congestion and creates hazardous conditions for commuters and construction workers. Traffic congestion resulting from work zones causes negative impacts on traffic mobility (delay), the environment (vehicle emissions), and safety when stopped or slowed vehicles become vulnerable to rear-end collisions. Addressing these concerns, a data-driven approach was utilized to develop methodologies to measure, predict, and characterize the impact work zones have on Michigan interstates. This study used probe vehicle data, collected from GPS devices in vehicles, as the primary source for mobility data. This data was used to fulfill three objectives: develop …

Jet Geometry Engineering Via Di-Jet Imbalance Measurements At Rhic In Star, Nicholas Elsey

Wayne State University Dissertations

Ultra-relativistic heavy ion collisions produced at the Relativistic Heavy Ion Collider (RHIC) and the Large Hadron Collider (LHC) produce a new state of matter of deconfined quarks and gluons (partons) called the quark-gluon plasma (QGP). This plasma of deconfined but strongly coupled partons is believed to have been the primary state of matter in the universe up to a few milliseconds after the Big Bang. High energy partons produced in hard scatterings early in the collision can be used to probe the entire lifetime of the QGP. These partons propagate through and interact with the QGP before fragmenting into collimated …

Integrating Heuristics To Support Impact Analysis In Software Evolution, Yibin Wang

Wayne State University Dissertations

Iterative impact analysis (IIA) is a process that allows developers to estimate the impacted units of a software change. Starting from a single impacted unit, the developers inspect its interacting units via program dependencies to identify the ones that are also impacted, and this process continues iteratively. Experience has shown that developers often miss impacted units and inspect many irrelevant units.

In order to enhance IIA, first we put forward a new program representation that provides more precise dependencies for software change propagation. Our study showed that the precision of IIA was indeed improved using such a program representation while …

Balance Functions Of Charged Hadron Pairs $(\Pi,K,P)\Otimes (\Pi,K,P)$ In Pb--Pb Collisions At $\Sqrt{S_{_{\Rm Nn}}} =$2.76 Tev, Jinjin Pan

Wayne State University Dissertations

We present the first balance function (BF) measurement of charged hadron pairs $(\pi,K,p)\otimes (\pi,K,p)$ in Pb--Pb collisions at $\sqrt{s_{_{\rm NN}}} =$2.76 TeV.

The BF measurements are carried out as two-dimensional (2D) differential correlators vs. the relative rapidity ($\Delta y$) and azimuthal angle ($\Delta\varphi$) of hadron pairs, and studied as a function of collision centrality. While the BF azimuthal widths of all pairs substantially decrease from peripheral to central collisions, the longitudinal widths exhibit mixed behaviors: BF of $\pi\pi$ and cross-species pairs narrow in more central collisions whereas those of $KK$ and $pp$ are found invariant with collision centrality. This dichotomy …

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 …

Second-Order Generalized Differentiation Of Piecewise Linear-Quadratic Functions And Its Applications, Hong Do

Wayne State University Dissertations

The area of second-order variational analysis has been rapidly developing during the recent years with many important applications in optimization. This dissertation is devoted to the study and applications of the second-order generalized differentiation of a remarkable

class of convex extended-real-valued functions that is highly important in many aspects of nonlinear and variational analysis, specifically those related to optimization and stability.

The first goal of this dissertation is to compute the second-order subdifferential of the functions described above, which will be applied in the study of the stability of composite optimization problems associated with piecewise linear-quadratic functions, known as extended …

Atomic Layer Deposition (Ald) And Atomic Layer Etching (Ale) Of Thin Films: Synthesis And Characterization Of A New Class Of Ald Precursors, Ald Of Pralo3 Thin Films, And Thermal Ale Of Cobalt Metal Films, Wathsala Lakmali Iwadunna Waduge

Wayne State University Dissertations

ABSTRACT

ATOMIC LAYER DEPOSITION (ALD) AND ATOMIC LAYER ETCHING (ALE) OF THIN FILMS: SYNTHESIS AND CHARACTERIZATION OF A NEW CLASS OF ALD PRECURSORS, ALD OF PrAlO3 THIN FILMS, AND THERMAL ALE OF COBALT METAL FILMS

by

WATHSALA LAKMALI IWADUNNA WADUGE

February 2019

Advisor: Professor Charles H. Winter

Major: Chemistry (Inorganic)

Degree: Doctor of Philosophy

ALD is an attractive thin film deposition technique due to its unique self-limiting growth behavior and the ability to achieve Angstrom level thickness control. Alternative thin film deposition techniques such as CVD and PVD are unable to attain the conformal and Angstrom level film growth which …

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 …

Switching Diffusions: Applications To Ecological Models, And Numerical Methods For Games In Insurance, Trang Thi-Huyen Bui

Wayne State University Dissertations

Recently, a class of dynamic systems called ``hybrid systems" containing both continuous dynamics and discrete events has been adapted to treat a wide variety of situations arising in many real-world situations. Motivated by such development, this dissertation is devoted to the study of dynamical systems involving a Markov chain as the randomly switching process. The systems studied include hybrid competitive Lotka-Volterra ecosystems and non-zero-sum stochastic differential games between two insurance companies with regime-switching.

The first part is concerned with competitive Lotka-Volterra model with Markov switching. A novelty of the contribution is that the Markov chain has a countable state space. …

Modification Of Bruker Amazon Etd And Solarix Mass Spectrometers Towards Infrared Multiple Photon Dissociation: Structural Characterization Of Modified Nucleosides, Lucas Ash Hamlow

Wayne State University Dissertations

Infrared ion spectroscopy has become an increasingly powerful tool for examining

the intrinsic structures of gas-phase ions. Infrared multiple photon dissociation (IRMPD)

action spectroscopy has been particularly successful. Several free electron laser (FEL)

facilities across the world have helped facilitate the growth of the IRMPD technique and

increasing interest has driven the development of more accessible IRMPD

instrumentation. The development of one such IRMPD instrumentation system is

described in this work, based around commercially available 3D quadrupole ion trap mass

spectrometers and Fourier-transform ion cyclotron resonance mass spectrometers.

The intrinsic gas-phase structures of nucleic acid monomers have been

extensively studied …

Deep Learning Beyond Traditional Supervision, Shixing Chen

Wayne State University Dissertations

With the rapid development of innovative models and huge success on various applications, the field of deep learning has attracted enormous attention in computer vision, machine learning, and artificial intelligence. Countless researches have validated the superior performance and unprecedented extensiveness of deep learning models, especially with the advantages of high performance computing by GPUs and parallel computation. Nonetheless, drawbacks including strong dependency on supervision (sufficient labeled data) and monotonous usage of categorized labels are negatively interfering the advancement of deep learning.

In this dissertation, we plan to expose and exploit some possibilities of deep learning without using data and labels …

Synthesis, Structure, And Luminescence Properties Of Rare-Earth-Doped Alkaline-Earth Fluorohalide Upconverting Nanocrystals, Kumuduni Tauni Dissanayake

Wayne State University Dissertations

The major scientific problems that associated with the state-of-the-art upconverting nanocrystal system (rare-earth-doped β-NaYF4) are lower quantum efficiency, lack of full-spectrum color tunability, and difficulty in achieving single-band red emission. The major scientific strategies that employed to address these scientific problems are based on nanostructuring, tuning rare-earth concentration, and tuning host chemical composition. The reported articles during the past few decades clearly illustrated that nanostructuring and tuning rare-earth concentration hadn’t bought considerable contribution to synthesize efficient and color-tunable upconverting nanocrystal systems. However, the ability to tune the chemical composition of the host to design efficient and color-tunable upconverting nanocrystal system …

Improving Energy Consumption Of Java Programs, Mohit Kumar

Wayne State University Dissertations

Information and Communications Technologies (ICT) amounts for 10% of the world energy which will keep on growing in the future and 3% of the overall carbon footprint which is now more than the level of CO2 emission as that of the aviation industry. For many past years, the focus was on hardware to optimize the energy consumption of ICT systems. This includes dynamic adaptation of hardware techniques such as fine-grain clock gating, power gating, and dynamic voltage/frequency scaling. However, recent demands of exascale computation, as well as the increasing carbon footprint, require new breakthroughs to make ICT systems more energy-efficient. …

Numerical Approaches To A Thermoelastic Kirchhoff-Love Plate System, Zeyu Zhou

Wayne State University Dissertations

In this work, theory background of the sobolev spaces and finite element spaces are

reviewed first. Then the details of how the thermoelastic Kirchhoff-Love(KL) plates numerically established are presented. Later we approaches to the thermoelastic KL system numerically with mixed element method, H^1−Galerkin method and interior penalty discontinuous galerkin method(IP-DG).

What is more, the SIP-DG also applied to solve this KL system numerically. The well-posedness, existence, uniqueness and convergence properties are theoretical analyzed. The gain of the convergence rate is also O(h^k), that is 1 less than the observed convergence rate.

When discussing the H1-Galerkin method, the main advantages over …

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 …

Effective And Efficient Preemption Placement For Cache Overhead Minimization In Hard Real-Time Systems, John Cavicchio

Wayne State University Dissertations

Schedulability analysis for real-time systems has been the subject of prominent research over the past several decades. One of the key foundations of schedulability analysis is an accurate worst case execution time (WCET) for each task. In preemption based real-time systems, the CRPD can represent a significant component (up to 44% as documented in research literature) of variability to overall task WCET. Several methods have been employed to calculate CRPD with significant levels of pessimism that may result in a task set erroneously declared as non-schedulable. Furthermore, they do not take into account that CRPD cost is inherently a function …

An Empirical Study On Deterministic Collusive Attack Using Inter Component Communication In Android Applications, Tanzeer Hossain

Wayne State University Theses

Security threats using intent based inter component communication (ICC) channels in Android are under constant scrutiny of software engineering researchers. Though prior research provides empirical evidence on the existence of collusive communication channels in popular android apps, little is known about developers’willful involvement and motivation to exploit these channels.To shed light on this matter, in this paper we devised a novel methodology to deterministically identify developers’ involvement in establishing collusive inter app communication channels. We incorporate static analysis and relational database technology to discover sensitive collusive channels and domain knowledge of the Android SDK to build a model to identify …

Fundamental Insights On The Electrolysis Of Co2 Using Solid Oxide Electrolysis Cells, Juliana Silva Alves Carneiro

Wayne State University Dissertations

The work reported in this thesis focused on providing a fundamental understanding, at the molecular level, required to guide the effective design of electrocatalysts towards a superior reaction kinetics on the electrode of solid oxide electrolysis cells SOECs devices (SOECs) during the CO2 electrolysis. High temperature SOECs are electrochemical energy conversion technologies, that have emerged as promising alternatives to mitigate environmental issues associated with combustion-based technologies, such as the rising atmospheric CO2 levels. The conversion of excess CO2 into high-energy molecules, such as CO can be efficiently achieved through the use of SOEC – which facilitates the electrochemical reduction of …

Understanding Diabetes Through Pathway Analysis Evaluation, London Cavaletto

Research Opportunities for Engineering Undergraduates (ROEU) Program 2018-19

Metabolic disorders affect many people and identifying significantly perturbed biological processes in a metabolic disease can provide valuable insight into the disease’s mechanisms. Evaluating the proposed Metabolic Pathway Analysis Method (RAMP) will enable us to reliably use it to identify significantly perturbed metabolic pathways that could help identify disease mechanisms and potential therapy targets or disease bio-markers of a metabolic disorder.

Methods For Classification Of Consumer Review Into The Ones Written Before Or After The Product Purchase, Md Mehedi Hasan

Wayne State University Theses

Online consumer reviews provide a wealth of information about products and services that, if properly identified and extracted, could be of immense value to businesses. While classification of reviews according to sentiment polarity has been extensively studied in previous work, many more focused types of review analysis remain open problems. In this work, we introduce a novel text classification problem of separating post-purchase from pre-purchase consumer review fragments that can facilitate identification of immediate actionable insights based on the feedback from the customers, who actually purchased and own a product. To address this problem, we propose the features, which are …

Teachers' Reflection On Their Beliefs And Question-Asking Practices During Mathematics Instruction, Kaili Takiyah Hardamon

Wayne State University Dissertations

Teachers’ daily instructional practices are a critical component in creating a rich and meaningful educational experience for students. Thus, factors that inform instructional practices are of particular importance and interest to education researchers and other stakeholders. Beliefs about teaching and learning are a known factor influencing teachers’ instructional practices (Ernest, 1989). This study focused on a specific instructional practice, question-asking, which has a profound impact on students’ experience with mathematics (Weiland, Hudson, and Amador (2014). Understanding the relationship between teachers’ beliefs and practice helps to make sense of teachers’ decision-making processes, particularly as they choose questions to ask students during …

High Frequency Percussive Ventilation For Tumor Motion Immobilization, Ina Marina Sala

Wayne State University Dissertations

This work investigates the use of High Frequency Percussive Ventilation as a technique for respiratory motion mitigation in radiotherapy. This technique was extensively investigated in several prospective and retrospective studies.

In an initial prospective study, we evaluated the feasibility of HFPV and chest-wall motion reduction, by recruiting 15 healthy volunteers to undergo HFPV with three commercially available interfaces. For direct tumor motion immobilization, a second prospective study was performed in which with ten lung cancer patients underwent HFPV while imaged with high frame rate fluoroscopy. Diaphragm motion and image artifacts were quantified in a prospective study of a healthy volunteer …

Utilizing Log Files For Treatment Planning And Delivery Qa In Radiotherapy, Carl W. Stanhope

Wayne State University Theses

Purpose: Monte Carlo-based log file quality assurance (LF-MC QA) is investigated as an alternative method to phantom-based patient-specific quality assurance in radiotherapy (e.g. ArcCHECK QA (AC QA)).

Methods: First, the shortcomings of AC QA were investigated. The sensitivity dependence of ArcCHECK diodes on dose rate (in-field) and energy (primarily out-of-field) was quantified. LF-MC QA was then analyzed on the phantom geometry. Planned (‘Plan’) and LF-reconstructed CS and MC doses were compared with each other and AC measurement via statistical (mean ± StdDev(σ)) and gamma analyses to isolate dosimetric uncertainties and quantify the relative accuracies of AC QA and LF-MC QA. …

Programming Of Collaborative Robot (Cobot) To Selectively Disassemble Products To Obtain Critical Materials, Brittany Felder

Research Opportunities for Engineering Undergraduates (ROEU) Program 2018-19

End-of-life products that contain critical materials, such as rare earth magnets, are often discarded even though there is remaining value that can be fed back into a remanufacturing process. This research aims to develop high throughput and economic value recovery from electric machines using collaborative robotics.

Molecular Exchange Monte Carlo. A Generalized Method For Identity Exchanges In Grand Canonical Monte Carlo Simulations, Mohammad Soroush Barhaghi

Wayne State University Theses

A generalized identity exchange algorithm is presented for Monte Carlo simulations in the grand canonical ensemble. The algorithm, referred to as Molecular Exchange Monte Carlo (MEMC), 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 of large molecules, and the pros and cons of each method are discussed. The performance of the algorithms is highlighted through grand canonical Monte Carlo histogram-reweighting simulations performed on several systems, including 2,2,4-trimethylpentane+neopentane, butane+perfluorobutane, methane+n-alkanes, and water+impurity. Relative …

Web Service Composition Optimization, Hussain Aljafer

Wayne State University Dissertations

In recent years, users and organizations started switching from workstation- based applications to Web services also known as cloud services. Web services offer many advantages such as cost of use and maintenance. Web services follow the pay- per-use pricing model so the users pay for their usage only. Due to the huge number of services, a composition optimization mechanism is needed to help the users find the best service/set of services for their application/s. On the other hand, service providers look for generating the highest profit possible from the offered services. In this dissertation, we address the problem from both …