Open Access. Powered by Scholars. Published by Universities.®

Computer Sciences Commons™

Open Access. Powered by Scholars. Published by Universities.®

2020

Discipline
Institution
Keyword
Publication
Publication Type
File Type

Articles 4021 - 4050 of 4524

Full-Text Articles in Computer Sciences

Strategies Used In Ehealth Systems Adoption, Joshua Adams Jan 2020

Strategies Used In Ehealth Systems Adoption, Joshua Adams

Walden Dissertations and Doctoral Studies

Failure to adopt an interoperable eHealth system limits the accurate communication exchange of pertinent health-care-related data for diagnosis and treatment. Patient data are located in disparate health information systems, and the adoption of an interoperable eHealth system is complex and requires strategic planning by senior health care IT leaders. Grounded in DeLone and McLean’s information system success model, the purpose of this qualitative case study was to explore strategies used by some senior information technology (IT) health care leaders in the successful adoption of an eHealth system. The participants were 8 senior health care IT leaders in the eastern United …

Go to article

Aligning Workforce Training Center Curricula With Local Business Needs, Elizabeth P. Burns Jan 2020

Aligning Workforce Training Center Curricula With Local Business Needs, Elizabeth P. Burns

Walden Dissertations and Doctoral Studies

Many cities in the United States have experienced job loss due to a shift from industrial-based to information and service economies, as well as the outsourcing of labor jobs to overseas locations. In the absence of industrial jobs once occupied by low-skilled workers, the problem that compelled this study was a perceived gap between the skills required by the employers who now hire such workers and the actual skills those workers have. The purpose of this qualitative case study was to explore the espoused skills required by employers in a rural region of the southeastern United States to inform the …

Go to article

Strategies For Managing Offshore Outsourcing For Business Sustainability, Idrissa Maiga Hamidou Issa Jan 2020

Strategies For Managing Offshore Outsourcing For Business Sustainability, Idrissa Maiga Hamidou Issa

Walden Dissertations and Doctoral Studies

Ineffective offshore outsourcing strategies can contribute to unexpected and significant costs for businesses. Strategies to improve outsourcing outcomes are critical to business managers because often third parties contracted to implement offshore outsourcing fail to fulfil business managers’ expectations who can benefit from understanding how to manage outsourced operations and anticipate potential problems. Grounded in transaction cost theory, cultural and customs theory, and the resource-based view theory, the purpose of this qualitative single case study was to explore strategies and processes business managers use to maintain their organization after the implementation of offshore outsourcing. The participants consisted of 3 managers who …

Go to article

Innovation And Market Leadership In A Technology Industry, Wilson Zehr Jan 2020

Innovation And Market Leadership In A Technology Industry, Wilson Zehr

Walden Dissertations and Doctoral Studies

According to the Abernathy-Utterback (A-U) model, firms focus on technological product innovation early in the product lifecycle and then shift to process innovation as markets mature. However, there is no consensus on the forms that non-technological innovation can take. In addition, the A-U model, which guides innovators, does not include forms of non-technological innovation that are generally accepted by experts. In this study, a hybrid e-Delphi technique with an AHP decision model was used to evaluate the forms of innovation used to establish market leadership over the historical lifecycle of the personal computer industry in the United States. In Phase …

Go to article

Cloud Adoption Decision-Making Processes By Small Businesses: A Multiple Case Study, Francis Blay Jan 2020

Cloud Adoption Decision-Making Processes By Small Businesses: A Multiple Case Study, Francis Blay

Walden Dissertations and Doctoral Studies

Cloud services have emerged as a compelling technology with immense benefits, but many companies still have concerns about cloud services adoption because of several failures that have occurred, including mistakes by service providers, exploitation of security flaws by hackers, and immature policies and procedures. The specific problem is how small businesses often lack the understanding of the ramifications of their respective decision-making processes to adopt cloud services. There is little understanding of the decision-making processes managers use in cloud services adoption. The purpose of this qualitative multiple case study was to explore the decision-making processes of 3 small businesses in …

Go to article

Exploring Cybersecurity Awareness And Training Strategies To Protect Information Systems And Data, Michael Hanna Jan 2020

Exploring Cybersecurity Awareness And Training Strategies To Protect Information Systems And Data, Michael Hanna

Walden Dissertations and Doctoral Studies

Ineffective security education, training, and awareness (SETA) programs contribute to compromises of organizational information systems and data. Inappropriate actions from users due to ineffective SETA programs may result in legal consequences, fines, reputational damage, adverse impacts on national security, and criminal acts. Grounded in social cognitive theory, the purpose of this qualitative multiple case study was to explore strategies hospitality organizational information technology (IT) leaders utilized to implement SETA successfully. The participants were organizational IT leaders from four organizations in Hampton Roads, Virginia. Data collection was performed using telephone and video teleconference interviews with organizational IT leaders (n = 6) …

Go to article

Factors Influencing Cloud Computing Adoption By Small Firms In The Payment Card Industry, Marie Njanje Tambe Jan 2020

Factors Influencing Cloud Computing Adoption By Small Firms In The Payment Card Industry, Marie Njanje Tambe

Walden Dissertations and Doctoral Studies

Technology acceptance is increasingly gaining attention in research considering the continuous exploits of innovation and various derived advantages. Cloud computing (CC) has shown to be the ideal solution for aligning information technology with business strategies. However, small to medium-sized enterprises (SMEs) in the payment card industry are reluctantly adopting this technology despite the benefits. This correlational study aims at investigating whether security, cost effectiveness, or regulatory compliance influence CC adoption by U.S. SMEs in the payment card sector. The study builds on the technology-organization-environment (TOE) framework and uses a previously validated instrument to assess CC adoption by decision-makers in U.S. …

Go to article

Search Results: Predicting Ranking Algorithms With User Ratings And User-Driven Data, Gary Michael Taylor Jan 2020

Search Results: Predicting Ranking Algorithms With User Ratings And User-Driven Data, Gary Michael Taylor

Walden Dissertations and Doctoral Studies

The purpose of this correlational quantitative study was to examine the possible relationship between user-driven parameters, user ratings, and ranking algorithms. The study’s population consisted of students and faculty in the information technology (IT) field at a university in Huntington, WV. Arrow’s impossibility theorem was used as the theoretical framework for this study. Complete survey data were collected from 47 students and faculty members in the IT field, and a multiple regression analysis was used to measure the correlations between the variables. The model was able to explain 85% of the total variability in the ranking algorithm. The overall model …

Go to article

Potential Impacts Of Artificial Intelligence On Spine Imaging Interpretation And Diagnosis, David Howard Durrant Jan 2020

Potential Impacts Of Artificial Intelligence On Spine Imaging Interpretation And Diagnosis, David Howard Durrant

Walden Dissertations and Doctoral Studies

Spine and related disorders represent one of the most common causes of pain and disability in the United States. Imaging represents an important diagnostic procedure in spine care. Imaging studies contain actionable data and insights undetectable through routine visual analysis. Convergent advances in imaging, artificial intelligence (AI), and radiomic methods has revealed the potential of multiscale in vivo interrogation to improve the assessment and monitoring of pathology. AI offers various types of decision support through the analysis of structured and unstructured data. The primary purpose of this qualitative exploratory case study was to identify the potential impacts of AI solutions …

Go to article

Exploring The Relationship Between Iot Security And Standardization, James Jenness Clapp Jan 2020

Exploring The Relationship Between Iot Security And Standardization, James Jenness Clapp

Walden Dissertations and Doctoral Studies

The adoption of the Internet of Things (IoT) technology across society presents new and unique challenges for security experts in maintaining uninterrupted services across the technology spectrum. A botnet implemented over 490,000 IoT connected devices to cripple the Internet services for major companies in one recent IoT attack. Grounded in Roger’s diffusion of innovations theory, the purpose of this qualitative exploratory multiple-case study was to explore implementation strategies used by some local campus IT managers in educational institutions in the United States to secure the IoT environment. The participants were 10 IT local campus IT managers within educational institutions across …

Go to article

Denial Of Service Attacks: Difference In Rates, Duration, And Financial Damages And The Relationship Between Company Assets And Revenues, Abebe Gebreyes Jan 2020

Denial Of Service Attacks: Difference In Rates, Duration, And Financial Damages And The Relationship Between Company Assets And Revenues, Abebe Gebreyes

Walden Dissertations and Doctoral Studies

AbstractDenial-of-service/distributed denial-of-service (DoS) attacks on network connectivity are a threat to businesses that academics and professionals have attempted to address through cyber-security practices. However, currently there are no metrics to determine how attackers target certain businesses. The purpose of this quantitative study was to address this problem by, first, determining differences among business sectors in rates and duration of attacks and financial damages from attacks and, second, examining relationship among assets and/or revenues and duration of attacks and financial damages. Cohen and Felson's routine activity theory and Cornish and Clarke's rational choice theory served as frameworks as they address the …

Go to article

Strategies Universities’ And Colleges’ It Leaders Use To Prevent Malware Attacks, Felix Agyei Jan 2020

Strategies Universities’ And Colleges’ It Leaders Use To Prevent Malware Attacks, Felix Agyei

Walden Dissertations and Doctoral Studies

Information systems at universities and colleges are not exempt from the threat of malware. Preventing and mitigating malware attacks is important to universities’ and colleges’ IT leaders to protect sensitive data confidentiality. Grounded in general system theory, the purpose of this exploratory multiple case study was to explore strategies universities’ and colleges’ information technology (IT) leaders use to prevent and mitigate malware attacks. Participants consisted of 6 IT leaders from 3 universities and colleges in Southern California responsible for preventing and mitigating malware attacks. Data were collected through semistructured video teleconferences and 7 organizational documents. Three significant themes emerged through …

Go to article

Customer And Employee Social Media Comments/Feedback And Stock Purchasing Decisions Enhanced By Sentiment Analysis, Drew Mikel Hall Jan 2020

Customer And Employee Social Media Comments/Feedback And Stock Purchasing Decisions Enhanced By Sentiment Analysis, Drew Mikel Hall

Walden Dissertations and Doctoral Studies

The U.S. Securities and Exchange Commission (SEC) warns professional investors that sentiment analysis tools may lead to impulsive investment decision-making. This warning comes despite evidence showing that aided social sentiment investment decision tools can increase accurate investment decision-making by 18%. Using Fama's theory of efficient market hypothesis, the purpose of this quantitative correlational study was to examine whether customer Twitter comments and employee Glassdoor feedback sentiment predicted successful investing decisions measured by business stock prices. Two thousand records from 3 archival U.S. public NASDAQ 100 datasets from March 28, 2016, to June 15, 2016 (79 days) of 53 companies with …

Go to article

Strategies In Software Development Effort Estimation, Kevin R. Roark Jan 2020

Strategies In Software Development Effort Estimation, Kevin R. Roark

Walden Dissertations and Doctoral Studies

Software development effort estimating has notoriously been the Achilles heel of the software planning process. Accurately evaluating the effort required to accomplish a software change continues to be problematic, especially in Agile software development. IT organizations and project managers depend on estimation accuracy for planning software deliveries and cost determination. The purpose of this multiple case qualitative study was to identify strategies used by software development professionals in providing accurate effort estimations to stakeholders. The planning fallacy served as the study’s conceptual framework. The participants were 10 software development professionals who were actively engaged in delivering estimates of effort on …

Go to article

The Impact Of Technological Advances On Older Workers, Toni Mcintosh Jan 2020

The Impact Of Technological Advances On Older Workers, Toni Mcintosh

Walden Dissertations and Doctoral Studies

The general problem addressed in this study was the treatment of older workers in the information technology industry that contributes to age discrimination in the workplace. Age discrimination is against the law irrespective of whether it is aimed at older workers in the workforce or becoming job candidates at an advanced age. Although previous research has shown that age discrimination is prevalent in work environments, little has been suggested to eradicate the issue in the workplace. The purpose of this qualitative case study was to investigate the issue of age discrimination as it relates to workers over the age of …

Go to article

Exploring Strategies For Capturing Requirements For Developing Ict4d Applications, Jonathan Makanjera Jan 2020

Exploring Strategies For Capturing Requirements For Developing Ict4d Applications, Jonathan Makanjera

Walden Dissertations and Doctoral Studies

Some software engineers make decisions using applications designed from poorly captured user requirements. The quality of user requirements is crucial in the requirements engineering process, costing 50 times more to remedy the defects of using poorly captured user requirements. Grounded in the socialization, externalization, combination and internalization model of Nonaka theoretical framework, the purpose of this qualitative multiple case study was to explore strategies software engineers in Southern African software houses and IT departments use for capturing information and communication technology for development (ICT4D) requirements. The participants consisted of software 12 engineers who were working in Southern Africa, capturing ICT4D …

Go to article

Exploring Strategies For Enforcing Cybersecurity Policies, Bayo Olushola Omoyiola Jan 2020

Exploring Strategies For Enforcing Cybersecurity Policies, Bayo Olushola Omoyiola

Walden Dissertations and Doctoral Studies

Some cybersecurity leaders have not enforced cybersecurity policies in their organizations. The lack of employee cybersecurity policy compliance is a significant threat in organizations because it leads to security risks and breaches. Grounded in the theory of planned behavior, the purpose of this qualitative case study was to explore the strategies cybersecurity leaders utilize to enforce cybersecurity policies. The participants were cybersecurity leaders from 3 large organizations in southwest and northcentral Nigeria responsible for enforcing cybersecurity policies. The data collection included semi-structured interviews of participating cybersecurity leaders (n = 12) and analysis of cybersecurity policy documents (n = 20). Thematic …

Go to article

Ethics Of Collection And Use Of Consumer Information On The Internet, Thanh M. Pham Jan 2020

Ethics Of Collection And Use Of Consumer Information On The Internet, Thanh M. Pham

Walden Dissertations and Doctoral Studies

Consumer online activities can generate massive volumes of data that private companies may collect and use for business purposes. Consumer personal data need to be protected from unauthorized access and misuse. The specific problem is that consumers have little control regarding their data being collected and used by private companies. The purpose of this qualitative archival research was to explore business practices involving collection and use of consumer data without an individual’s consent. This study used the big data ethical conceptual framework to focus on various privacy issues, including those related to ownership, transparency, ethics, and consumer privacy laws. Archival …

Go to article

Open-Ended Search Through Minimal Criterion Coevolution, Jonathan Brant Jan 2020

Open-Ended Search Through Minimal Criterion Coevolution, Jonathan Brant

Electronic Theses and Dissertations, 2020-2023

Search processes guided by objectives are ubiquitous in machine learning. They iteratively reward artifacts based on their proximity to an optimization target, and terminate upon solution space convergence. Some recent studies take a different approach, capitalizing on the disconnect between mainstream methods in artificial intelligence and the field's biological inspirations. Natural evolution has an unparalleled propensity for generating well-adapted artifacts, but these artifacts are decidedly non-convergent. This new class of non-objective algorithms induce a divergent search by rewarding solutions according to their novelty with respect to prior discoveries. While the diversity of resulting innovations exhibit marked parallels to natural evolution, …

Go to article

Computational Methods For Discovery And Analysis Of Rna Structural Motifs, Shahidul Islam Jan 2020

Computational Methods For Discovery And Analysis Of Rna Structural Motifs, Shahidul Islam

Electronic Theses and Dissertations, 2020-2023

Understanding the 3D structural properties of RNAs will play a critical role in identifying their functional characteristics and designing new RNAs for RNA-based therapeutics and nanotechnology. In an attempt to achieve a better insight into RNAs, biochemical experiments have been conducted to produce data with positional details of atoms in RNA structures. This data has created opportunities for applying computational analysis to solve various biological problems. In this dissertation, we have addressed annotation issues of base-pairing interactions in the low-resolution structure data and presented new methods to analyze RNA structural motifs. Annotating base-pairing interactions is one of the critical steps …

Go to article

The Effects Of Gesture Presentation In Video Games, Jack Oakley Jan 2020

The Effects Of Gesture Presentation In Video Games, Jack Oakley

Electronic Theses and Dissertations, 2020-2023

As everyday and commonplace technology continues to move toward touch devices and virtual reality devices, more and more video games are using gestures as forms of gameplay. While there is much research focused on gestures as user interface navigation methods, we wanted to look into how gestures affect gameplay when used as a gameplay mechanic. In particular, we set out to determine how different ways of presenting gestures might affect the game's difficulty and flow. We designed two versions of a zombie game where the zombies are killed by drawing gestures. The first version of the game is a touchscreen-based …

Go to article

Analyzing User Behavior In Collaborative Environments, Samaneh Saadat Jan 2020

Analyzing User Behavior In Collaborative Environments, Samaneh Saadat

Electronic Theses and Dissertations, 2020-2023

Discrete sequences are the building blocks for many real-world problems in domains including genomics, e-commerce, and social sciences. While there are machine learning methods to classify and cluster sequences, they fail to explain what makes groups of sequences distinguishable. Although in some cases having a black box model is sufficient, there is a need for increased explainability in research areas focused on human behaviors. For example, psychologists are less interested in having a model that predicts human behavior with high accuracy and more concerned with identifying differences between actions that lead to divergent human behavior. This dissertation presents techniques for …

Go to article

Action Recognition In Still Images: Confluence Of Multilinear Methods And Deep Learning, Marjaneh Safaei Jan 2020

Action Recognition In Still Images: Confluence Of Multilinear Methods And Deep Learning, Marjaneh Safaei

Electronic Theses and Dissertations, 2020-2023

Motion is a missing information in an image, however, it is a valuable cue for action recognition. Thus, lack of motion information in a single image makes action recognition for still images inherently a very challenging problem in computer vision. In this dissertation, we show that both spatial and temporal patterns provide crucial information for recognizing human actions. Therefore, action recognition depends not only on the spatially-salient pixels, but also on the temporal patterns of those pixels. To address the challenge caused by the absence of temporal information in a single image, we introduce five effective action classification methodologies along …

Go to article

Cnn-Based Speed Detection Algorithm For Walking And Running Using Wrist-Worn Wearable Sensors, Venkata Devesh Reddy Seethi Jan 2020

Cnn-Based Speed Detection Algorithm For Walking And Running Using Wrist-Worn Wearable Sensors, Venkata Devesh Reddy Seethi

Graduate Research Theses & Dissertations

In recent years, there have been a surge in ubiquitous technologies such as smartwatches and fitness trackers that can track human physical activities effortlessly. These devices have enabled common citizens to track their physical fitness and encourage them to lead a healthy lifestyle. Among various exercises, walking and running are the most common activities people do in everyday life, either through commute, exercise, or by doing household chores. While performing these activities, the speed at which a person walks and runs is an essential factor to determine the intensity of activity. Therefore, it is important to measure walking/running speed to …

Go to article

A Design Of Mac Model Based On The Separation Of Duties And Data Coloring: Dsdc-Mac, Soon-Book Lee, Yoo-Hwan Kim, Jin-Woo Kim, Chee-Yang Song Jan 2020

A Design Of Mac Model Based On The Separation Of Duties And Data Coloring: Dsdc-Mac, Soon-Book Lee, Yoo-Hwan Kim, Jin-Woo Kim, Chee-Yang Song

Computer Science Faculty Research

Among the access control methods for database security, there is Mandatory Access Control (MAC) model in which the security level is set to both the subject and the object to enhance the security control. Legacy MAC models have focused only on one thing, either confidentiality or integrity. Thus, it can cause collisions between security policies in supporting confidentiality and integrity simultaneously. In addition, they do not provide a granular security class policy of subjects and objects in terms of subjects' roles or tasks. In this paper, we present the security policy of Bell_LaPadula Model (BLP) model and Biba model as …

Go to article

Page-Net: Interpretable And Integrative Deep Learning For Survival Analysis Using Histopathological Images And Genomic Data, Jie Hao, Sai Chandra Kosaraju, Nelson Zange Tsaku, Dae Hyun Song, Mingon Kang Jan 2020

Page-Net: Interpretable And Integrative Deep Learning For Survival Analysis Using Histopathological Images And Genomic Data, Jie Hao, Sai Chandra Kosaraju, Nelson Zange Tsaku, Dae Hyun Song, Mingon Kang

Computer Science Faculty Research

The integration of multi-modal data, such as histopathological images and genomic data, is essential for understanding cancer heterogeneity and complexity for personalized treatments, as well as for enhancing survival predictions in cancer study. Histopathology, as a clinical gold-standard tool for diagnosis and prognosis in cancers, allows clinicians to make precise decisions on therapies, whereas high-throughput genomic data have been investigated to dissect the genetic mechanisms of cancers. We propose a biologically interpretable deep learning model (PAGE-Net) that integrates histopathological images and genomic data, not only to improve survival prediction, but also to identify genetic and histopathological patterns that cause different …

Go to article

Wind Power Forecasting Methods Based On Deep Learning: A Survey, Xing Deng, Haijian Shao, Chunlong Hu, Dengbiao Jiang, Yingtao Jiang Jan 2020

Wind Power Forecasting Methods Based On Deep Learning: A Survey, Xing Deng, Haijian Shao, Chunlong Hu, Dengbiao Jiang, Yingtao Jiang

Electrical & Computer Engineering Faculty Research

Accurate wind power forecasting in wind farm can effectively reduce the enormous impact on grid operation safety when high permeability intermittent power supply is connected to the power grid. Aiming to provide reference strategies for relevant researchers as well as practical applications, this paper attempts to provide the literature investigation and methods analysis of deep learning, enforcement learning and transfer learning in wind speed and wind power forecasting modeling. Usually, wind speed and wind power forecasting around a wind farm requires the calculation of the next moment of the definite state, which is usually achieved based on the state of …

Go to article

A Probabilistic Machine Learning Framework For Cloud Resource Selection On The Cloud, Syeduzzaman Khan Jan 2020

A Probabilistic Machine Learning Framework For Cloud Resource Selection On The Cloud, Syeduzzaman Khan

University of the Pacific Theses and Dissertations

The execution of the scientific applications on the Cloud comes with great flexibility, scalability, cost-effectiveness, and substantial computing power. Market-leading Cloud service providers such as Amazon Web service (AWS), Azure, Google Cloud Platform (GCP) offer various general purposes, memory-intensive, and compute-intensive Cloud instances for the execution of scientific applications. The scientific community, especially small research institutions and undergraduate universities, face many hurdles while conducting high-performance computing research in the absence of large dedicated clusters. The Cloud provides a lucrative alternative to dedicated clusters, however a wide range of Cloud computing choices makes the instance selection for the end-users. This thesis …

Go to article

Automated And Standardized Tools For Realistic, Generic Musculoskeletal Model Development, Trevor Rees Moon Jan 2020

Automated And Standardized Tools For Realistic, Generic Musculoskeletal Model Development, Trevor Rees Moon

Graduate Theses, Dissertations, and Problem Reports (ETD)

Human movement is an instinctive yet challenging task that involves complex interactions between the neuromusculoskeletal system and its interaction with the surrounding environment. One key obstacle in the understanding of human locomotion is the availability and validity of experimental data or computational models. Corresponding measurements describing the relationships of the nervous and musculoskeletal systems and their dynamics are highly variable. Likewise, computational models and musculoskeletal models in particular are vitally dependent on these measurements to define model behavior and mechanics. These measurements are often sparse and disparate due to unsystematic data collection containing variable methodologies and reporting conventions. To date, …

Go to article

Searching For Needles In The Cosmic Haystack, Thomas Ryan Devine Jan 2020

Searching For Needles In The Cosmic Haystack, Thomas Ryan Devine

Graduate Theses, Dissertations, and Problem Reports (ETD)

Searching for pulsar signals in radio astronomy data sets is a difficult task. The data sets are extremely large, approaching the petabyte scale, and are growing larger as instruments become more advanced. Big Data brings with it big challenges. Processing the data to identify candidate pulsar signals is computationally expensive and must utilize parallelism to be scalable. Labeling benchmarks for supervised classification is costly. To compound the problem, pulsar signals are very rare, e.g., only 0.05% of the instances in one data set represent pulsars. Furthermore, there are many different approaches to candidate classification with no consensus on a best …

Go to article

First Prev Next Last