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2022

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Full-Text Articles in Computer Sciences

Using Agile Strategies To Improve Project Success Rates, Tim Kirkland Jan 2022

Using Agile Strategies To Improve Project Success Rates, Tim Kirkland

Walden Dissertations and Doctoral Studies

Project failures can be costly to businesses, but on average, program managers’ (PMs’) success rates for managing information technology (IT) projects is less than 35%. Organizational cultures struggle to adapt to agile project management (APM) that provides stakeholder flexibility for dynamic environments. Grounded by project management theory, the purpose of this qualitative multiple case study was to explore strategies project managers use to reduce IT project failures. The participants consisted of nine project managers in the northeastern United States with APM experience managing successful IT projects. Data were collected from virtual semi-structured interviews and journal notes. Ten open-ended interview questions …

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Equipment Rental Companies Leaders’ Customer Retention Strategies, Katrell Shalaine Mcneil Jan 2022

Equipment Rental Companies Leaders’ Customer Retention Strategies, Katrell Shalaine Mcneil

Walden Dissertations and Doctoral Studies

Equipment rental business leaders that employ inadequate customer retention strategies negatively impact organizations’ performance and profitability. Improved customer retention strategies might improve key customer retention and increase market share. Grounded in the customer retention management theory, the purpose of this qualitative multiple case study was to explore strategies rental leaders use to retain customers. Participants were 10 equipment rental leaders from the Southwest Region of the United States that successfully retained their key customers through effective customer retention strategies. Data were collected using semistructured interviews and a review of materials from organizational websites regarding customer order fulfillment and technology. Through …

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Optimal Domotic Systems Based On Archival Data Trend Analysis, Bettina Yvette Moore Jan 2022

Optimal Domotic Systems Based On Archival Data Trend Analysis, Bettina Yvette Moore

Walden Dissertations and Doctoral Studies

Domotics is the integration of technology into building systems. Due to the rapid growth in the use of domotic systems in recent years, the industry is struggling to establish consistency and standardization. The purpose of this archival-based qualitative case study was to identify current trends and patterns in scholarly domotic research to create an instrument to evaluate domotic systems and domotic interrelationships using bibliometric searches. The facilities management and modeling system provided the framework for the study. Archival research data were examined to identify trends and patterns in domotic research and provide visualization of domotic relationships through technology trajectory mapping …

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Strategies For Information Technology Small Business Owners To Sustain Beyond The First 5 Years, Edward Alan Rodarte Jan 2022

Strategies For Information Technology Small Business Owners To Sustain Beyond The First 5 Years, Edward Alan Rodarte

Walden Dissertations and Doctoral Studies

Small businesses are the foundation of an economy and spawn innovation, but small business owners fail at an alarming rate because they lack strategies to sustain business operations. Since 50% of small businesses fail within the first 5 years, small business sustainability research is critical to support small business owners. Grounded in entrepreneurial theory, the purpose of this multiple case study was to identify strategies information technology (IT) small business owners use to sustain operation beyond the first 5 years. The participants included four IT small business owners in the Southwestern United States who sustained operations beyond the first 5 …

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Exploration Of Cybersecurity Managers’ Experiences Protecting Users’ Privacy, Emmanuel Abayomi Segun Jan 2022

Exploration Of Cybersecurity Managers’ Experiences Protecting Users’ Privacy, Emmanuel Abayomi Segun

Walden Dissertations and Doctoral Studies

The protection of individual privacy and personal data in cyberspace continues to be a problem. The research problem was that cybersecurity managers must constantly navigate between the adoption of new security laws, new applications, and the internet of things (IoT) to protect the privacy of individual users. The purpose of this descriptive phenomenological study was to explore the lived experiences of cybersecurity managers who have adopted new security laws, new applications, and the IoT to protect users’ privacy. The conceptual framework that grounded this study was protection motivation theory and cybersecurity awareness. Data were collected through telephone and web-based interviews …

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Strategies For Adoption Of Innovative Information Technology For Business Performance Improvement, James Melvin Smith Jan 2022

Strategies For Adoption Of Innovative Information Technology For Business Performance Improvement, James Melvin Smith

Walden Dissertations and Doctoral Studies

Business leaders do not often consider investing in informational technology (IT) to increase performance. These business leaders lack knowledge of innovative IT adoption strategies to expand their revenue and reduce costs to sustain a competitive advantage. Grounded in the technology-organization-environment (TOE) theory, the purpose of this qualitative multiple case study was to explore IT innovation adoption strategies business leaders use to increase performance. The participants were four successful business leaders selected from finalists for international entrepreneurial awards presented annually in the Mid-Atlantic region of the United States. The data were collected using semistructured telephone interviews, media releases, and online publications. …

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Factors Influencing The Effectiveness Of Managing Human–Robot Teams, Theodore B. Terry Jan 2022

Factors Influencing The Effectiveness Of Managing Human–Robot Teams, Theodore B. Terry

Walden Dissertations and Doctoral Studies

Certain factors can influence the capabilities of a robot–human team by affecting their social and behavioral dynamics in a work environment. But these factors were not known due to the progressive nature of human–robot partnerships and a lack of peer-reviewed literature on the topic. This e-Delphi study aimed to identify and understand these unknown influential factors based on the participants’ insights. The overarching research question asked about the need to determine factors that might influence the effectiveness of managing human-robot teams. The basis for the conceptual framework for this study was the theory of communication used in organizational management. Twelve …

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Strategies For Implementing Critical Success Factors For Improving Information Technology Information Systems’ Performance In Financial Organizations, Sherri L. Williams Jan 2022

Strategies For Implementing Critical Success Factors For Improving Information Technology Information Systems’ Performance In Financial Organizations, Sherri L. Williams

Walden Dissertations and Doctoral Studies

Information technology infrastructure library (ITIL) business leaders lack strategies for implementing critical success factors (CSFs) to promote organizational effectiveness and project success. As a result, ITIL leaders may experience less project success if CSF strategies are not effectively implemented. Grounded in the balanced scorecard (BSC) theory, this qualitative multiple case study aimed to explore strategies ITIL business leaders use to implement CSFs successfully to improve organizational efficiency for project success. The participants comprised five ITIL business leaders in the financial industry located in the southwestern region of the United States who successfully implemented strategies to implement CSFs to improve organizational …

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Strategies For Catalyzing Supply Chain Innovation In Midsized Manufacturing Firms, Matthew J. Szukalowski Iii Jan 2022

Strategies For Catalyzing Supply Chain Innovation In Midsized Manufacturing Firms, Matthew J. Szukalowski Iii

Walden Dissertations and Doctoral Studies

Supply chain inflexibility results in reduced efficiency and profitability. Without supply chain flexibility, supply chain managers in manufacturing firms risk the loss of competitive advantage due to reduced efficiency and profitability. Grounded in business process engineering conceptual framework, the purpose of this qualitative multiple case study was to explore strategies supply chain leaders in manufacturing organizations use to achieve supply chain flexibility. The participants were five supply chain leaders in the manufacturing industry in the midwestern United States and successfully implemented innovative solutions to achieve supply chain flexibility. Data were collected using semistructured interviews and a review of company documents …

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Forward-Looking Strategies For Safely Adopting Digital Transformation In Aviation, Melissa King Jan 2022

Forward-Looking Strategies For Safely Adopting Digital Transformation In Aviation, Melissa King

Walden Dissertations and Doctoral Studies

Aviation leaders in the U.S. federal government face challenges in adopting technical evolution and advancing modernization while adhering to the rigor of a deeply entrenched safety culture. The purpose of this qualitative modified Delphi study was to determine how a panel of 21 aerospace experts based in Washington, DC viewed strategies for adopting to new technologies while ensuring safety. The management concepts that framed the study were safety culture and digital transformation. The study addressed the research question of how a panel of aviation experts viewed the desirability, feasibility, and importance of forward-looking strategies for adopting digital transformation while adhering …

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Exploring The Integration Of Corporate Sustainability Into Small-Scale Business Activities, Olushola O. Odutola Jan 2022

Exploring The Integration Of Corporate Sustainability Into Small-Scale Business Activities, Olushola O. Odutola

Walden Dissertations and Doctoral Studies

Small and medium-scale enterprises contribute 49% of the gross domestic product in Nigeria. The lack of research studies on how small and medium-scale enterprises integrate corporate sustainability into their business operations might present challenges for policymakers in achieving Nigeria’s sustainable development goals (SDG). The purpose of this descriptive phenomenological study was to explore how managers of small and medium-scale enterprises integrate the corporate sustainability dimensions into their business operations based on the concepts of the corporate entity, corporate nature, and corporate obligations. The central research question of this study was how managers of small and medium-scale enterprises integrate the economic, …

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Successful Strategies For Adopting Electronic Medical Records Systems At Hospitals, Vazi Okhandiar Jan 2022

Successful Strategies For Adopting Electronic Medical Records Systems At Hospitals, Vazi Okhandiar

Walden Dissertations and Doctoral Studies

Some healthcare leaders lack strategies to successfully implement electronic medical record (EMR) systems to improve patient care efficiency and effectiveness. Grounded in the technology acceptance model, the purpose of this qualitative multiple case study was to explore strategies healthcare leaders use to implement EMR systems. The participants comprised five healthcare leaders who implemented EMRs in U.S. hospitals. Data were collected using semistructured interviews, government websites, and relevant documents and analyzed using Yin’s five-step data analysis method. Three themes emerged: (a) adequate training, (b) workflow analysis, and (c) technical support. A key recommendation is for management to provide customized training to …

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Relationship Between Information System Success Model Dimensions And Electronic Health Records Use, Gloria Oshegbo Jan 2022

Relationship Between Information System Success Model Dimensions And Electronic Health Records Use, Gloria Oshegbo

Walden Dissertations and Doctoral Studies

The rise in the use of electronic health records (EHRs) in health care facilities necessitates a standardized tool for evaluating their effectiveness. Delone and McLean’s information system success model (ISSM) was the theoretical foundation, which consists of seven dimensions namely system, information, service qualities, user satisfaction, use, system usefulness, and net benefits. The purpose of this study was to examine EHRs’ efficiency and identify ISSM dimensions that influenced net benefits, the dependent variable. The research questions examined the relationship between dimensions of ISSM and the dimensions that affect net benefits. Participants were recruited using purposeful sampling via social media and …

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Social Media Analytics Use Among Small Business Owners, Melody White Jan 2022

Social Media Analytics Use Among Small Business Owners, Melody White

Walden Dissertations and Doctoral Studies

As of January 2018, small businesses created 47.5% of private jobs in the United States, but little is known about whether and why small business owners use social media analytics. This topic is important because social media analytics assist businesses in identifying social media effectiveness, gaining new customers, and staying connected with current customers. The purpose of this generic qualitative research study was to explore the use of social media analytics by small business owners, which can increase customer interaction and help monitor company perception and effectiveness. The conceptual foundation used in this study was the technology acceptance model. The …

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Strategies For Small-And Medium-Sized Business Growth And Survival, Abiodun Nestamanuel Ogunmuyiwa Jan 2022

Strategies For Small-And Medium-Sized Business Growth And Survival, Abiodun Nestamanuel Ogunmuyiwa

Walden Dissertations and Doctoral Studies

In the United States, approximately 50% of small businesses fail within the first five years (Small Business Administration, 2018b). Small and medium sized enterprises (SMEs) owners and managers would benefit from strategies to identify and mitigate constraints to sustain their business beyond the first five years of business operation. Grounded in the system theory framework, the purpose of this qualitative multiple case study was to explore strategies leaders of small and medium sized enterprises (SMEs) in Austin, Texas, used to grow and sustain their business’s operations beyond five years. The participants were five small and medium sized businesses owners in …

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Strategies Business Leaders Use To Mitigate Online Credit Card Fraud, Clarissa Rosario-Tavarez Jan 2022

Strategies Business Leaders Use To Mitigate Online Credit Card Fraud, Clarissa Rosario-Tavarez

Walden Dissertations and Doctoral Studies

Online credit card fraud targeting banks, customers, and businesses costs millions of U.S. dollars annually. Online business leaders face challenges securing and regulating the online payment processing environment. Grounded in the situational crime prevention theory, the purpose of this qualitative multiple case study was to explore strategies online business leaders use to mitigate the loss of revenue caused by online credit card fraud. The participants comprised five online business leaders of an organization in the Southwest of the United States, who implemented strategies that successfully mitigated revenue losses due to online credit card fraud. The data were collected from semistructured …

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Strategies That Improve Ux (User Experience) Design Through Product Innovation, Jibing Zhao Jan 2022

Strategies That Improve Ux (User Experience) Design Through Product Innovation, Jibing Zhao

Walden Dissertations and Doctoral Studies

User Experience (UX) design improvement can alter business results. Information technology (IT) company leaders are concerned with UX design improvement, as it is the number one indication of product innovation success and user satisfaction. Grounded in Christensen’s disruptive innovation theory, the purpose of the qualitative single case study was to explore strategies IT company leaders and UX designers used to identify critical UX design elements that lead to improved product innovations. The participants were five IT company leaders and a focus group of four UX designers employed by a sizeable telecom organization in Beijing, China. The data were collected from …

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Utilization Of Virtual Reality For General Education Purposes, Amit Lal Jan 2022

Utilization Of Virtual Reality For General Education Purposes, Amit Lal

University of the Pacific Theses and Dissertations

The use of Virtual Reality (VR) in a variety of professional, military, governmental, and educational fields has continued to expand over the past several decades, and the recent Covid-19 pandemic has brought attention to this field. This study surveys 154 college students over 23 questions that include various demographics that can be used to look for discriminators, multiple-choice VR-related questions, as well as a few free-form questions about use of VR in learning environments. The students’ experience with, interest in, and thoughts on how to best use VR vary considerably. The Covid-19 pandemic is found to have limited impact thus …

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An Analysis On Adversarial Machine Learning: Methods And Applications, Ali Dabouei Jan 2022

An Analysis On Adversarial Machine Learning: Methods And Applications, Ali Dabouei

Graduate Theses, Dissertations, and Problem Reports (ETD)

Deep learning has witnessed astonishing advancement in the last decade and revolutionized many fields ranging from computer vision to natural language processing. A prominent field of research that enabled such achievements is adversarial learning, investigating the behavior and functionality of a learning model in presence of an adversary. Adversarial learning consists of two major trends. The first trend analyzes the susceptibility of machine learning models to manipulation in the decision-making process and aims to improve the robustness to such manipulations. The second trend exploits adversarial games between components of the model to enhance the learning process. This dissertation aims to …

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Learning Representations For Human Identification, Sinan Sabri Jan 2022

Learning Representations For Human Identification, Sinan Sabri

Graduate Theses, Dissertations, and Problem Reports (ETD)

Long-duration visual tracking of people requires the ability to link track snippets (a.k.a. tracklets) based on the identity of people. In lack of the availability of motion priors or hard biometrics (e.g., face, fingerprint, or iris), the common practice is to leverage soft biometrics for matching tracklets corresponding to the same person in different sightings. A common choice is to use the whole-body visual appearance of the person, as determined by the clothing, which is assumed to not change during tracking. The problem is challenging because distinct images of the same person may look very different, since no restrictions are …

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A Domain Adaptation Approach For Segmenting Cell Instances In Microscopy Data, Matthew R. Keaton Jan 2022

A Domain Adaptation Approach For Segmenting Cell Instances In Microscopy Data, Matthew R. Keaton

Graduate Theses, Dissertations, and Problem Reports (ETD)

Automated cellular instance segmentation is a process that has been utilized for accelerating biological research since before the deep learning era, and recent advancements have produced higher quality results with less effort from the biologist. Most current endeavors focus on completely cutting the researcher out of the picture by generating highly generalized models. However, these models invariably fail when faced with novel data and effectively opt to miss out on the full capabilities of deep learning in pursuit of this goal. In our work, we demonstrate how, with even a minimal amount of annotated data, dominant approaches in this space …

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Classifying Blood Glucose Levels Through Noninvasive Features, Rishi Reddy Jan 2022

Classifying Blood Glucose Levels Through Noninvasive Features, Rishi Reddy

Graduate Theses, Dissertations, and Problem Reports (ETD)

Blood glucose monitoring is a key process in the prevention and management of certain chronic diseases, such as diabetes. Currently, glucose monitoring for those interested in their blood glucose levels are confronted with options that are primarily invasive and relatively costly. A growing topic of note is the development of non-invasive monitoring methods for blood glucose. This development holds a significant promise for improvement to the quality of life of a significant portion of the population and is overall met with great enthusiasm from the scientific community as well as commercial interest. This work aims to develop a potential pipeline …

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Representation Learning On Heterogeneous Spatiotemporal Networks, Dakshak Keerthi Chandra Jan 2022

Representation Learning On Heterogeneous Spatiotemporal Networks, Dakshak Keerthi Chandra

Doctoral Dissertations

“The problem of learning latent representations of heterogeneous networks with spatial and temporal attributes has been gaining traction in recent years, given its myriad of real-world applications. Most systems with applications in the field of transportation, urban economics, medical information, online e-commerce, etc., handle big data that can be structured into Spatiotemporal Heterogeneous Networks (SHNs), thereby making efficient analysis of these networks extremely vital. In recent years, representation learning models have proven to be quite efficient in capturing effective lower-dimensional representations of data. But, capturing efficient representations of SHNs continues to pose a challenge for the following reasons: (i) Spatiotemporal …

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Advances And Applications In High-Dimensional Heuristic Optimization, Samuel Alexander Vanfossan Jan 2022

Advances And Applications In High-Dimensional Heuristic Optimization, Samuel Alexander Vanfossan

Doctoral Dissertations

“Applicable to most real-world decision scenarios, multiobjective optimization is an area of multicriteria decision-making that seeks to simultaneously optimize two or more conflicting objectives. In contrast to single-objective scenarios, nontrivial multiobjective optimization problems are characterized by a set of Pareto optimal solutions wherein no solution unanimously optimizes all objectives. Evolutionary algorithms have emerged as a standard approach to determine a set of these Pareto optimal solutions, from which a decision-maker can select a vetted alternative. While easy to implement and having demonstrated great efficacy, these evolutionary approaches have been criticized for their runtime complexity when dealing with many alternatives or …

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Persistent Stealthy Attacks And Their Detection In Large Distributed Cyber-Physical Systems, Simon Bech Thougaard Jan 2022

Persistent Stealthy Attacks And Their Detection In Large Distributed Cyber-Physical Systems, Simon Bech Thougaard

Doctoral Dissertations

"Cyber-Physical Systems (CPS) are increasingly targeted by attackers using a wide and evolving array of methods. When these systems are distributed, every node represents a potential vulnerability, and secure system design must take this into account. Distributed CPSs also have the potential to better detect and handle attacks, by leveraging redundancies of physical measurements between adjacent nodes. The main purpose of this research is to determine the conditions that render a distributed CPS more resistant to attacks, and the conditions that render it more vulnerable. The work is centered around two separate applications: The Smart Grid and Autonomous Drone Swarms. …

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Secure And Efficient Information Management In Delay(Disruption) Tolerant Network, Shudip Datta Jan 2022

Secure And Efficient Information Management In Delay(Disruption) Tolerant Network, Shudip Datta

Doctoral Dissertations

"In environments like international military coalitions on the battlefield or multi-party relief work in a disaster zone, multiple teams are deployed to serve different mission goals by the command-and-control center (CC). They may need to survey damages and send information to the CC for situational awareness and also transfer messages to each other for mission purposes. However, due to the damaged network infrastructure in the emergency, nodes need to relay messages using the store and forward paradigm, also called Delay-tolerant Networks (DTNs). In DTN, the limited bandwidth, energy, and contacts among the nodes, and their interdependency impose several challenges such …

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Deep Learning-Based Surrogate Models For Post-Earthquake Damage Assessment, Xinzhe Yuan Jan 2022

Deep Learning-Based Surrogate Models For Post-Earthquake Damage Assessment, Xinzhe Yuan

Doctoral Dissertations

"Seismic damage assessment is a critical step to enhance community resilience in the wake of an earthquake. This study aims to develop deep learning-based surrogate models for widely used fragility curves to achieve more accurate and rapid assessment in practice. These surrogate models are based on artificial neural networks trained from the labelled ground motions whose resulting damage classes on targeted structures are determined by nonlinear time history analyses. The development of various surrogate models is progressed in four phases. In Phase I, the multilayer perceptron (MLP) is used to develop multivariate seismic classifiers with up to 50 hand-crafted intensity …

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Coupled Dynamics Of Spin Qubits In Optical Dipole Microtraps: Application To The Error Analysis Of A Rydberg-Blockade Gate, L. V. Gerasimov, R. R. Yusupov, A. D. Moiseevsky, I. Vybornyi, K. S. Tikhonov, S. P. Kulik, S. S. Straupe, Charles I. Sukenik, D. V. Kupriyanov Jan 2022

Coupled Dynamics Of Spin Qubits In Optical Dipole Microtraps: Application To The Error Analysis Of A Rydberg-Blockade Gate, L. V. Gerasimov, R. R. Yusupov, A. D. Moiseevsky, I. Vybornyi, K. S. Tikhonov, S. P. Kulik, S. S. Straupe, Charles I. Sukenik, D. V. Kupriyanov

Physics Faculty Publications

Single atoms in dipole microtraps or optical tweezers have recently become a promising platform for quantum computing and simulation. Here we report a detailed theoretical analysis of the physics underlying an implementation of a Rydberg two-qubit gate in such a system—a cornerstone protocol in quantum computing with single atoms. We focus on a blockade-type entangling gate and consider various decoherence processes limiting its performance in a real system. We provide numerical estimates for the limits on fidelity of the maximally entangled states and predict the full process matrix corresponding to the noisy two-qubit gate. We consider different excitation geometries and …

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Using Ai-Enabled Gaze Tracking System To Understand Comprehension Patterns Of Computer Science Students, Bradley Boswell Jan 2022

Using Ai-Enabled Gaze Tracking System To Understand Comprehension Patterns Of Computer Science Students, Bradley Boswell

College of Graduate Studies: Theses & Dissertations

Academic institutions and instructors lack the ability to accurately assess the moment-to-moment attentiveness of students in classrooms where students’ faces are obscured by computer monitors. This can cause the lectures of Computer Science, Information Technology, or other lab-based courses to be incorrectly-paced, which can lead to students having an overall poorer grasp of the subject material. We propose a system for real-time accurate detection of classroom attentiveness using monitor-mounted webcams and eye trackers, along with a Convolutional Neural Network machine learning model (NiCATS). Through the use of a neural network, we produce an initial attentiveness score based on student webcam …

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The Application Of Deep Learning And Cloud Technologies To Data Science, Ian A. Trawinski Jan 2022

The Application Of Deep Learning And Cloud Technologies To Data Science, Ian A. Trawinski

College of Graduate Studies: Theses & Dissertations

Machine Learning and Cloud Computing have become a staple to businesses and educational institutions over the recent years. The two forefronts of big data solutions have garnered technology giants to race for the superior implementation of both Machine Learning and Cloud Computing. The objective of this thesis is to test and utilize AWS SageMaker in three different applications: time-series forecasting with sentiment analysis, automated Machine Learning (AutoML), and finally anomaly detection. The first study covered is a sentiment-based LSTM for stock price prediction. The LSTM was created with two methods, the first being SQL Server Data Tools, and the second …

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