Digital Commons Network^™

Bibliometrics For Collection Development? A Study Of The Publishing Habits Of Math Faculty At Three Research Institutions, Nastasha E. Johnson

Libraries Faculty and Staff Presentations

No abstract provided.

Board 51: An Initial Step Towards Measuring First-Generation College Students’ Personal Agency: A Scale Validation, Dina Verdín, Allison Godwin

School of Engineering Education Graduate Student Series

This research paper describes the development of a scale to measure how first-generation college students use engineering as a tool for making a difference in their community and world or personal agency. Personal agency is a capability that every individual holds; it is described by Bandura as an individual’s beliefs about their capabilities to exercise control over events that affect their lives through purposeful and reflective actions. Agentic actions allow students to explore, maneuver and impact their environment for the achievement of a goal or set of goals. This study identifies how cognitive processes of forethought, intention, reactivity, and reflection …

Eager: Broadening Participation Of First-Generation College Student, Jessica M. Smith, Dina Verdín, Juan C. Lucena

School of Engineering Education Graduate Student Series

No abstract provided.

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 …

Toward Energy Efficient Systems Design For Data Centers, Bing Luo

Wayne State University Dissertations

Surge growth of numerous cloud services, Internet of Things, and edge computing promotes continuous increasing demand for data centers worldwide. Significant electricity consumption of data centers has tremendous implications on both operating and capital expense. The power infrastructure, along with the cooling system cost a multi-million or even billion dollar project to add new data center capacities. Given the high cost of large-scale data centers, it is important to fully utilize the capacity of data centers to reduce the Total Cost of Ownership. The data center is designed with a space budget and power budget. With the adoption of high-density …

Stereotype Threat And Its Effect On Christian Women In Secular Higher Education Administration, Kimberly Morgan

Wayne State University Dissertations

Stereotype threat is a highly supported phenomenon in social psychology. It is the fear, whether consciously or subconsciously, that one will confirm within oneself a negative stereotype about one’s social or identity group, through poor performance or self-evaluation. This study attempts to determine if stereotype threat could be a contributor to the underrepresentation of women, and therefore Christian women, in higher education leadership. To investigate possible causes of this a set of surveys was completed. The first included questions regarding employment, race, religion, education, and politics. It was used to determine stratified samples for the second survey. The second survey’s …

Bundle: Taming The Cache And Improving Schedulability Of Multi-Threaded Hard Real-Time Systems, Corey Tessler

Wayne State University Dissertations

For hard real-time systems, schedulability of a task set is paramount. If a task set is not deemed schedulable under all conditions, the system may fail during operation and cannot be deployed in a high risk environment. Schedulability testing has typically been separated from worst-case execution time (WCET) analysis. Each task’s WCET value is calculated independently and provided as input to a schedulability test. However, a task’s WCET value is influenced by scheduling decisions and the impact of cache memory. Thus, schedulability tests have been augmented to include cache-related preemption delay (CRPD). From this classical perspective, the effect of cache …

Attention-Based Models For Deep Reinforcement Learning, Elaheh Barati

Wayne State University Dissertations

Attention mechanism has shown promising results in many fields of machine learning such as image captioning and machine translation. In this work, we focus on attention-based models for deep reinforcement learning. We concentrate on developing deep neural networks

that are fed with a sequence of high-dimensional raw pixels. Particularly, we design attention-based models for challenging tasks including navigation, autonomous driving, and video captioning. In these tasks, deep reinforcement learning algorithms facilitate training of their sophisticated models, and the attention mechanism serves different purposes. In the navigation and autonomous driving tasks, through the attention mechanism, our model attends over different views …

A Comparative Study Of Kendall-Theil Sen, Siegel Vs Quantile Regression With Outliers, Ahmad Farooqi

Wayne State University Dissertations

Researchers in social and behavioral sciences usually interested in study the relationship between a response variable Y_i and one or more independent predictors〖 X〗_i either for the purpose of explanation or prediction. Ordinary Least Square Regression is a parametric approach used to study this kind of relationship. One of the disadvantages of Ordinary Least Square is it does not fit well in the presence of outliers in the response variable Y_i or both in the response variable Y_i and the predictor variable〖 X〗_i, also if the data were sampled from a non-normal distribution. Quantile Regression, Theil-Sen regression, and the modified …

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 …

Utilizing Knowledge Bases In Information Retrieval For Clinical Decision Support And Precision Medicine, Saeid Balaneshinkordan

Wayne State University Dissertations

Accurately answering queries that describe a clinical case and aim at finding articles in a collection of medical literature requires utilizing knowledge bases in capturing many explicit and latent aspects of such queries. Proper representation of these aspects needs knowledge-based query understanding methods that identify the most important query concepts as well as knowledge-based query reformulation methods that add new concepts to a query. In the tasks of Clinical Decision Support (CDS) and Precision Medicine (PM), the query and collection documents may have a complex structure with different components, such as disease and genetic variants that should be transformed to …

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 …

The Use Of Cultural Algorithms To Learn The Impact Of Climate On Local Fishing Behavior In Cerro Azul, Peru, Khalid Kattan

Wayne State University Dissertations

Recently it has been found that the earth’s oceans are warming at a pace that is 40% faster than predicted by a United Nations panel a few years ago. As a result, 2019 has become the warmest year on record for the earth’s oceans. That is because the oceans have acted as a buffer by absorbing 93% of the heat produced by the greenhouse gases [40].

The impact of the oceanic warming has already been felt in terms of the periodic warming of the Pacific Ocean as an effect of the ENSO process. The ENSO process is a cycle of …

The Center Of All Beauty: Radical Democracy, Materiality, And The Poetic Subject In Twentieth-Century American Poetry, Marcus Merritt

Wayne State University Dissertations

In The Center of All Beauty, I trace a strain of poetics in twentieth-century American poetry from William Carlos Williams through Frank O’Hara, Alice Notley, and Amiri Baraka. This poetics is founded in a radically democratic conception of the poetic subject and in the use of poetry as a tool for developing critical knowledge about the material conditions within which the poetic subject is constituted. In Spring and All and The Embodiment of Knowledge, Williams articulates a poetics that denies the authority of any grounds upon which any poetic subject would be considered inadequate to poetic speech and outlines a …

Student Use Of Technology For Collaboration, Krystal Gordon

Wayne State University Dissertations

According to the U.S. Department of Education, students need to be prepared for higher education and remain competitive in a globally changing society schools should intertwine 21st century skills including collaboration in the classroom. The purpose of the study is to examine the current use of online tools for group collaboration among high school students. Social constructivists assume learning is collaborative and meaning comes from multiple perspectives. In a social constructivist environment, the goal is for student learning to be maximized. Many states have set guideline and standards that require schools to incorporate collaboration across the curriculum. A nonexperimental, correlational …

Learning From Heterogeneous Data, Lu Wang

Wayne State University Dissertations

Data with both heterogeneity and homogeneity is now ubiquitous due to the development of multitudinous data collection techniques. To encode the data heterogeneity and homogeneity, we focus on unsupervised and supervised learning approaches. In unsupervised learning, to consider both data heterogeneity and homogeneity, we develop three clustering frameworks to maximize the heterogeneity among data sub-groups and homogeneity within each data sub-group for over-dispersed data in three different data types, i.e., alphabetic, network and mixed feature types data. In supervised learning, the traditional approaches, however, either build a global model for a whole group including all sub-groups, which fail to consider …

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 …

3d Surface Registration Using Geometric Spectrum Of Shapes, Hajar Hamidian

Wayne State University Dissertations

Morphometric analysis of 3D surface objects are very important in many biomedical applications and clinical diagnoses. Its critical step lies in shape comparison and registration. Considering that the deformations of most organs such as heart or brain structures are non-isometric, it is very difficult to find the correspondence between the shapes before and after deformation, and therefore, very challenging for diagnosis purposes.

To solve these challenges, we propose two spectral based methods. The first method employs the variation of the eigenvalues of the Laplace-Beltrami operator of the shape and optimize a quadratic equation in order to minimize the distance between …

Reporting Number Needed To Treat In Clinical Trials Published In Physical Therapy Specific Literature 1989 - 2018, Susan Ann Talley

Wayne State University Dissertations

Evidence-based practice requires physical therapists to make clinical decisions about the best intervention to use when providing services to patients/clients. Although null hypothesis significance testing (NHST) is frequently used to interpret the outcome of a clinical trial investigating the comparative effectiveness of an intervention, statistical significance does not directly translate into clinical importance. Number needed to treat (NNT) is a measure of effect size (ES) that may be particularly useful when translating the results from clinical trials to PT clinical practice. The purpose of this study was to conduct a bibliometric content analysis of the methods of reporting research results …

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 …

Capso: A Multi-Objective Cultural Algorithm System To Predict Locations Of Ancient Sites, Samuel Dustin Stanley

Wayne State University Dissertations

ABSTRACT

CAPSO: A MULTI-OBJECTIVE CULTURAL ALGORITHM SYSTEM TO PREDICT LOCATIONS OF ANCIENT SITES

by

SAMUEL DUSTIN STANLEY

August 2019

Advisor: Dr. Robert Reynolds

Major: Computer Science

Degree: Doctor of Philosophy

The recent archaeological discovery by Dr. John O’Shea at University of Michigan of prehistoric caribou remains and Paleo-Indian structures underneath the Great Lakes has opened up an opportunity for Computer Scientists to develop dynamic systems modelling these ancient caribou routes and hunter-gatherer settlement systems as well as the prehistoric environments that they existed in. The Wayne State University Cultural Algorithm team has been interested assisting Dr. O’Shea’s archaeological team by …

Unmasking The Noise Within: An Exploration Of The Integration Of Music And Mental Processing And Its Effect On Enhanced Learning, De Vida Gill

Theses and Dissertations

Many research studies have focused on aspects of music, mental processing, and education, but few have integrated music with mental health practices and theory in order to understand the potential effects of enhanced learning. This research applied a biopsychosocial (biological, psychological, and social) approach to provide a holistic view of the relationship between music and mental processing. In particular, this phenomenological study of non-musicians and professional musicians demonstrated the significance of music as a universal language. Additionally, the intrinsic and extrinsic effects of music are shown to enhance learning for the artist and listeners. The findings suggest that music can …

Exploring The Lived Experiences Of Foster Youth Who Obtained Graduate Level Degrees: Self-Efficacy, Resilience, And The Impact On Identity Development, Cristina Miranda

Theses and Dissertations

The purpose of this phenomenological study was to explore the lived experiences of former foster youth who have completed graduate level academic programs in order to discover and describe the elements that these individuals believe led to their academic success. The primary research question for this study was: what do former foster youth who completed graduate level programs report as elements that contributed to their academic success? The researcher utilized a qualitative approach and portraiture methodology. In depth, interviews were conducted with six individuals, three women and three men, who spent time in foster care and later went on to …

The Nature Of E-Rate Policy And Change, Application Process, And Funding: Influence On E-Rate Usage And Technology Over Two Decades, Brett Allen Stoneberger

Theses and Dissertations

The purpose of this case study was to develop a comprehensive understanding of the real-world issues encountered by applicants attempting to realize opportunities available through the E-rate program. With multiple changes in the E-rate program spanning nearly two decades, it is necessary to understand what E-rate applicants have experienced, and what the impacts of those experiences are (past, present, and future). This study explored a micro version of the E-rate program as experienced by two small and remote Bureau of Indian Education (BIE) funded K-8 schools on the Pine Ridge Indian Reservation in South Dakota since 1998.

Efficient Intensity Measures Of Slide-Rocking Structures For Precariously Balanced Rocks, Taylor J. Knickerbocker, Christine E. Wittich

Department of Civil and Environmental Engineering: Faculty Publications

Precariously balanced rocks (PBRs) and other fragile geologic features are important in both the engineering and seismological communities since they are indicative of the maximum ground motion at a site over the rock’s lifetime. Precariously balanced rocks are individual or stacks of freestanding rocks that tend to respond in rigid body modes when subject to seismic excitation – namely, rocking, sliding, slide-rocking, and free-flight, which can lead to overturning. The seismic response of freestanding structures, such as PBRs, is known to be extremely sensitive to small changes in geometry, position, and earthquake excitation. As such, deterministic methods are limited in …

Geographic Variations Of Sound Channel Axis In The Global Ocean, Mukunda Kumar Acharya

Electronic Theses and Dissertations

Sound signals are used for imaging and communication in the ocean. Underwater sound speed has a minimum at a certain depth that forms a sound channel for long-range underwater sound propagation. The geographic variation of sound channel is crucial in uses of underwater sound in various environments including ocean acoustic tomography and monitoring of global warming. In this work, sound speed and depth of the channel axis in the global ocean are characterized for their variation with the latitude, longitude, and depth.

Daily Metacognitive Questioning Sheets: Implementing Metacognitive Strategies In The Secondary Classroom, Shawna Sue Hill-Robinson

Electronic Theses and Dissertations

This study investigated the possible impact that incorporating daily metacognitive questioning in a mathematics classroom could have on student achievement. The study integrated metacognition into the classroom through the daily use of metacognitive questioning sheets that were answered by students who participated in the research study. The study also explored patterns that emerged from the students’ individual responses on the metacognitive sheets using qualitative coding and analyses. Two classes of heterogeneously grouped high school dual-credit college algebra students were taught the same curriculum by the same teacher and given the same summative assessments during the study. One class received the …

Leading Learners To Level Up In A High School Mathematics Classroom, Jennifer Carnes Wilson

Electronic Theses and Dissertations

How often are teachers surprised to find out at the end of a learning episode that students have not actually learned? The first Mathematics Teaching Practice from NCTM’s Principles to Actions asserts that “effective teaching of mathematics establishes clear goals for the mathematics that students are learning, situates goals within learning progressions, and uses the goals to guide instructional decisions” (NCTM, 2014, p. 10). Unfortunately, many teachers struggle to establish clear goals to focus learning, and many students struggle to meet those goals. This research study considered how well students predict success on learning targets for an upcoming test when …

X-Ray Crystal Structure Of Au36(Sph-Pch3)24 Nanomolecules, Vigneshraja Ganeshraj

Electronic Theses and Dissertations

Au36(SR)24 is one of the most comNanomolecules (NM) in gold NM field and crystal structures of Au36(SR)24 with different thiolate protecting ligand such as tert-butylbenzene thiol, thiophenol and cyclopentane thiol have been reported. It has been predicted that aromatic thiol protected Au36(SR)24 NM have same core structures like the other reported Au36(SR)24 NMs. Due to the steric and electronic conjugation effects the staples on the gold core exhibit minor changes in the bond length without affecting the gold core. By varying the Gold:Thiol ratio the NM size can be controlled. Herein, we report the synthesis, isolation and characterization of two …

Care In The Workplace:The Employer’S Role In The Alleviation Of The Eldercare Problem, Joseph Michael Duda

Electronic Theses and Dissertations

The Center for Disease Control has referred to the group of people, aged 18-35, who have an elderly dependent they care for (by which I mean physical, emotional, or mental assistance necessary for the elderly dependent’s continued living) and are entering the workforce as the “sandwich” generation. These people are at the age where they may be simultaneously raising a child and taking care of an elderly family member. It has been estimated that, as of 2006, 17% of the U.S. workforce belong to the sandwich generation. In addition to the sandwich generation, there are 44 million people in the …