Computer Sciences Commons^™

Evaluating Intention To Use Remote Robotics Experimentation In Programming Courses, Pericles Leng Cheng

Walden Dissertations and Doctoral Studies

The Digital Agenda for Europe (2015) states that there will be 825,000 unfilled vacancies for Information and Communications Technology by 2020. This lack of IT professionals stems from the small number of students graduating in computer science. To retain more students in the field, teachers can use remote robotic experiments to explain difficult concepts. This correlational study used the unified theory of acceptance and use of technology (UTAUT) to examine if performance expectancy, effort expectancy, social influence, and facilitating conditions can predict the intention of high school computer science teachers in Cyprus, to use remote robotic experiments in their classes. …

Faculty Perceptions Of Instructional Strategies That Foster Student Engagement In Online Courses, Sharon M. Hope

Walden Dissertations and Doctoral Studies

Developing online instructional strategies for increasing student engagement and success is significant locally and nationally due to growth in the online field, advances in technology, and the need for colleges to maximize student success. This study stemmed from the desire of administrators at an upstate New York private college to discover additional ways to design and deliver effective online instruction. The purpose of this qualitative instrumental case study was to discover faculty perceptions of and experiences with instructional strategies that they used to foster student engagement in online learning. Kearsley and Shneiderman's engagement theory formed the study's conceptual framework. Ten …

Return On Investment Of The Cftp Framework With And Without Risk Assessment, Anne Lim Lee

Walden Dissertations and Doctoral Studies

In recent years, numerous high tech companies have developed and used technology roadmaps when making their investment decisions. Jay Paap has proposed the Customer Focused Technology Planning (CFTP) framework to draw future technology roadmaps. However, the CFTP framework does not include risk assessment as a critical factor in decision making. The problem addressed in this quantitative study was that high tech companies are either losing money or getting a much smaller than expected return on investment when making technology investment decisions. The purpose of this research was to determine the relationship between returns on investment before and after adding risk …

Educating Nurses On Workflow Changes From Electronic Health Record Adoption, Rhoda Lynn Atienza San Jose

Walden Dissertations and Doctoral Studies

Workflow issues related to adoption of the electronic health record (EHR) has led to unsafe workarounds, decreased productivity, inefficient clinical documentation and slow rates of EHR adoption. The problem addressed in this quality improvement project was nurses' lack of knowledge about workflow changes due to EHR adoption. The purpose of this project was to identify changes in workflow and to develop an educational module to communicate the changes. This project was guided by both the ADDIE model (analysis, design, development, implementation, and evaluation) and the diffusion of innovations theory. Five stages were involved: process mapping, cognitive walkthrough, eLearning module development, …

Foreword: Special Issue On Coalgebraic Logic, Alexander Kurz

Engineering Faculty Articles and Research

The second Dagstuhl seminar on coalgebraic logics took place from October 7-12, 2012, in the Leibniz Forschungszentrum Schloss Dagstuhl, following a successful earlier one in December 2009. From the 44 researchers who attended and the 30 talks presented, this collection highlights some of the progress that has been made in the field. We are grateful to Giuseppe Longo and his interest in a special issue in Mathematical Structures in Computer Science.

Quasivarieties And Varieties Of Ordered Algebras: Regularity And Exactness, Alexander Kurz

Engineering Faculty Articles and Research

We characterise quasivarieties and varieties of ordered algebras categorically in terms of regularity, exactness and the existence of a suitable generator. The notions of regularity and exactness need to be understood in the sense of category theory enriched over posets.

We also prove that finitary varieties of ordered algebras are cocompletions of their theories under sifted colimits (again, in the enriched sense).

Exploring Strategies For Successful Implementation Of Electronic Health Records, Richard Alton Warren

Walden Dissertations and Doctoral Studies

Adoption of electronic health records (EHR) systems in nonfederal acute care hospitals has increased, with adoption rates across the United States reaching as high as 94%. Of the 330 plus acute care hospital EHR implementations in Texas, only 31% have completed attestation to Stage 2 of the meaningful use (MU) criteria. The purpose of this multiple case study was to explore strategies that hospital chief information officers (CIOs) used for the successful implementation of EHR. The target population consists of 3 hospitals CIOs from a multi-county region in North Central Texas who successfully implemented EHRs meeting Stage 2 MU criteria. …

Strategic Cyber-Risk Implications Of Cloud Technology Adoption In The U.S. Financial Services Sector, Olatunji Mujib Arowolo

Walden Dissertations and Doctoral Studies

According to research, the risks of adopting new technology and the technological and organizational factors that influence adopting it are not clear. Thus, many financial institutions have hesitated to adopt cloud-computing. The purpose of this quantitative, cross-sectional study was to evaluate the cyber-risk implications of cloud-computing adoption in the U.S. financial services sector. The study examined 6 technological and organizational factors: organization size, relative advantage, compliance, security, compatibility, and complexity within the context of cyber-risk. Using a combination of diffusion of innovation theory and technology-organization-environment framework as the foundation, a predictive cybersecurity model was developed to determine the factors that …

Strategies To Support Survivors Of Corporate Downsizing, Joseph Linton

Walden Dissertations and Doctoral Studies

Between 2003 and 2011, 1.2 million U.S. workers were laid off every year. Some organizational leaders of information technology/telecommunications organizations lack strategies to improve affective commitment to the organization after downsizing events. The strains of overwork, organizational changes, anxiety over job insecurity, and lack of choice often result in physical illness, emotional trauma, and extreme disengagement termed survivor syndrome. The purpose of this single case study was to explore strategies organizational leaders in the Midwest United States in information technology/telecommunications organizations used to improve affective commitment to the organization after downsizing. The conceptual framework was Herzberg's 2-factor theory. Data were …

Cyber-Security Policy Decisions In Small Businesses, Joanna Patterson

Walden Dissertations and Doctoral Studies

Cyber-attacks against small businesses are on the rise yet small business owners often lack effective strategies to avoid these attacks. The purpose of this qualitative multiple case study was to explore the strategies small business owners use to make cyber-security decisions. Bertalanffy's general systems theory provided the conceptual framework for this study. A purposive sample of 10 small business owners participated in the interview process and shared their decision-making methodologies and influencers. The small business owners were vetted to ensure their strategies were effective through a series of qualification questions. The intent of the research question and corresponding interview questions …

Anomaly Detection In Rfid Networks, Alaa Alkadi

UNF Graduate Theses and Dissertations

Available security standards for RFID networks (e.g. ISO/IEC 29167) are designed to secure individual tag-reader sessions and do not protect against active attacks that could also compromise the system as a whole (e.g. tag cloning or replay attacks). Proper traffic characterization models of the communication within an RFID network can lead to better understanding of operation under “normal” system state conditions and can consequently help identify security breaches not addressed by current standards. This study of RFID traffic characterization considers two piecewise-constant data smoothing techniques, namely Bayesian blocks and Knuth’s algorithms, over time-tagged events and compares them in the context …

The Positivication Of Coalgebraic Logics, Fredrik Dahlqvist, Alexander Kurz

Engineering Faculty Articles and Research

We present positive coalgebraic logic in full generality, and show how to obtain a positive coalgebraic logic from a boolean one. On the model side this involves canonically computing a endofunctor T': Pos->Pos from an endofunctor T: Set->Set, in a procedure previously defined by the second author et alii called posetification. On the syntax side, it involves canonically computing a syntax-building functor L': DL->DL from a syntax-building functor L: BA->BA, in a dual procedure which we call positivication. These operations are interesting in their own right and we explicitly compute posetifications and positivications in the case …

Examining And Exposing The Darknet, Ton H. Don

College of Graduate Studies: Theses & Dissertations

This thesis consists of two studies; the first study is “Diving into the Darknet” and the second is “Exposing the Darknet on Mobile Devices”. The Darknet is a network of hidden sites and services which are built based on anonymity. In “Diving into the Darknet”, we applied different data science methods to establish the relationships between the data in the data set. This data set has information related to seller, drug types, and transactions. Additionally, we used Tableau to visualize the data set. For the second study, we took a digital forensics perspective of the Darknet. Orfox and Orbot, a …

Fusion Of Non-Visual And Visual Sensors For Human Tracking, Wenchao Jiang

Doctoral Dissertations

"Human tracking is an extensively researched yet still challenging area in the Computer Vision field, with a wide range of applications such as surveillance and healthcare. People may not be successfully tracked with merely the visual information in challenging cases such as long-term occlusion. Thus, we propose to combine information from other sensors with the surveillance cameras to persistently localize and track humans, which is becoming more promising with the pervasiveness of mobile devices such as cellphones, smart watches and smart glasses embedded with all kinds of sensors including accelerometers, gyroscopes, magnetometers, GPS, WiFi modules and so on. In this …

Cognition-Based Approaches For High-Precision Text Mining, George John Shannon

Doctoral Dissertations

"This research improves the precision of information extraction from free-form text via the use of cognitive-based approaches to natural language processing (NLP). Cognitive-based approaches are an important, and relatively new, area of research in NLP and search, as well as linguistics. Cognitive approaches enable significant improvements in both the breadth and depth of knowledge extracted from text. This research has made contributions in the areas of a cognitive approach to automated concept recognition in.

Cognitive approaches to search, also called concept-based search, have been shown to improve search precision. Given the tremendous amount of electronic text generated in our digital …

Data Analytics Methods For Attack Detection And Localization In Wireless Networks, Yi Ling

Doctoral Dissertations

"Wireless ad hoc network operates without any fixed infrastructure and centralized administration. It is a group of wirelessly connected nodes having the capability to work as host and router. Due to its features of open communication medium, dynamic changing topology, and cooperative algorithm, security is the primary concern when designing wireless networks. Compared to the traditional wired network, a clean division of layers may be sacrificed for performance in wireless ad hoc networks. As a result, they are vulnerable to various types of attacks at different layers of the protocol stack. In this paper, I present real-time series data analysis …

Discrete Ordinates Ct Organ Dose Simulator (Doctors), Edward T. Norris

Doctoral Dissertations

"Computed tomography (CT) has become pervasive in medical diagnostics as improved imaging techniques and processing algorithms provide higher quality information to doctors. However, the exponentially increasing usage of CT has raised concerns regarding long term low-dose radiological risks.

Currently, the dose to patients is computed using Monte Carlo methods and experimental tests. In other areas of radiation transport, deterministic codes have been shown to be much faster than Monte Carlo codes.

Currently, no deterministic methodology exists to automatically generate a spatially distributed dose profile from a CT voxel phantom. This work proposes a new code, Discrete Ordinate CT Organ Dose …

Empirically Tuning Hpc Kernels With Ifko, Md Majedul Haque Sujon

LSU Doctoral Dissertations

iFKO (iterative Floating point Kernel Optimizer) is an open-source iterative empirical compilation framework which can be used to tune high performance computing (HPC) kernels. The goal of our research is to advance iterative empirical compilation to the degree that the performance it can achieve is comparable to that delivered by painstaking hand tuning in assembly. This will allow many HPC researchers to spend precious development time on higher level aspects of tuning such as parallelization, as well as enabling computational scientists to develop new algorithms that demand new high performance kernels. At present, algorithms that cannot use hand-tuned performance libraries …

A Graph-Based Taxonomic Intelligent Tutoring System Utilizingbloom’S Taxonomy And Item-Response Theoretic Assessment, Dennis Gordon Castleberry Ii

LSU Doctoral Dissertations

This dissertation details an intelligent tutoring system which aims to raise student trait abilities across concepts and levels of Blooms taxonomy within an educational program. The system utilizes Item Response Theory, a probabilistic theory of assessment which accounts for item discrimination, difficulty, and probability of guessing in its assessment of student trait ability. A modification to Item Response Theory which accounts for question dependencies is used to assess the probability that a student will answer a given question correctly given prior responses on the dependency questions. It also draws from theories of memory and forgetting present in the ACT-R model …

Pattern Matching Of Signature-Based Ids Using Myers Algorithm Under Mapreduce Framework, Monther Aldwairi, Ansam M. Abu-Dalo, Moath Jarrah

All Works

© The Author(s). 2017. The rapid increase in wired Internet speed and the constant growth in the number of attacks make network protection a challenge. Intrusion detection systems (IDSs) play a crucial role in discovering suspicious activities and also in preventing their harmful impact. Existing signature-based IDSs have significant overheads in terms of execution time and memory usage mainly due to the pattern matching operation. Therefore, there is a need to design an efficient system to reduce overhead. This research intends to accelerate the pattern matching operation through parallelizing a matching algorithm on a multi-core CPU. In this paper, we …

Identifying Major Tasks From On-Line Reviews, Feras Al-Obeidat, Bruce Spencer

All Works

© 2017 The Authors. Published by Elsevier B.V. Many e-commerce websites allow customers to provide reviews that reflect their experiences and opinions about the business's products or services. Such published reviews potentially benefit the business's reputation, improve both current and future customers' trust in the business, and accordingly improve the business. Negative reviews can inform the merchant of issues that, when addressed, also improve the business. However, when reviews reflect negative experiences and the merchant fails to respond, the business faces potential loss of reputation, trust, and damage. We present the Sentiminder system that identifies reviews with negative sentiment, organizes …

Nursing Approaches For Use And Sustainability Of Barcode Medication Administration Technology, Jackson Ngigi Njeru

Walden Dissertations and Doctoral Studies

Approximately 43.4% of medication errors occur at the time of administration despite the use of bar code medication administration (BCMA) System. This trend has prompted a national effort to mitigate this problem in the United States. Implementing BCMA in health care settings is one of those efforts. Studies focusing on the approaches employed by nurses when using this system are scant. The purpose of this qualitative case study was to investigate strategies nurses and their leaders use to ensure BCMA is implemented, maximized, and sustained. The technology acceptance model was used to guide the study. The 2 research questions addressed …

Exploring Strategies For Early Identification Of Risks In Information Technology Projects, Nina Michele Mack-Cain

Walden Dissertations and Doctoral Studies

Project managers must ensure risk management and business justification for their projects. Approximately, 53% of IT projects failed due to project managers not identifying risks early in the projects' lifecycle. The purpose of this single case study was to explore strategies IT project managers utilize to identify risks early in the project's lifecycle. The study population consisted of 5 lead IT project managers from a telecom company located in the Midwest region of the United States who had managed IT projects. The conceptual framework that grounded this study was the general systems theory. The data collection process involved semistructured interviews, …

The Ping-Pong Project, Adhithya Ravishankar

Honors Theses

Table Tennis, more commonly referred to as ping pong, has been a sport of the elite for over two centuries since its inception in the late 1800s. However, coaching for this sport is not usually taught in most places, and many do not know how to play this sport. To democratize the sport, and make it more accessible to everyone, this program was designed to analyze a player's game and to give suggestions and recommendations to improve it. Using hard coded rules and tests, this program is designed to coach someone by detecting and measuring the speed and the spin …

Robust And Agile System Against Fault And Anomaly Traffic In Software Defined Networks, Mihui Kim, Younghee Park, Rohit Kotalwar

Faculty Publications

The main advantage of software defined networking (SDN) is that it allows intelligent control and management of networking though programmability in real time. It enables efficient utilization of network resources through traffic engineering, and offers potential attack defense methods when abnormalities arise. However, previous studies have only identified individual solutions for respective problems, instead of finding a more global solution in real time that is capable of addressing multiple situations in network status. To cover diverse network conditions, this paper presents a comprehensive reactive system for simultaneously monitoring failures, anomalies, and attacks for high availability and reliability. We design three …

Blind Change Point Detection And Regime Segmentation Using Gaussian Process Regression, Sourav Das

Theses and Dissertations

Time-series analysis is used heavily in modeling and forecasting weather, economics, medical data as well as in various other fields. Change point detection (CPD) means finding abrupt changes in the time-series when the statistical property of a certain part of it starts to differ. CPD has attracted a lot of attention in the artificial intelligence, machine learning and data mining communities. In this thesis, a novel CPD algorithm is introduced for segmenting multivariate time-series data. The proposed algorithm is a general pipeline to process any high dimensional multivariate time-series data using nonlinear non-parametric dynamic system. It consists of manifold learning …

Mobile Application For Shipping Goods For Individuals And Truckers In India, Sendurr Selvaraj

Theses and Dissertations

India is a vast country with majority of its cities and towns connected through roads. Road transportation contributes to 86% share of the freight transport of the country with trucking companies dominating the entire space. With growing economy and demands raising, the quality of service of the trucking company remains poor. The major reasons are unorganized practice and lack of transparency. Moreover, limited access for customers to reach out to truckers to transport their goods.

This thesis aims to create a platform for customers and truckers to realize their needs with a help of a mobile application. Customers can search …

Queryable Compression For Massively Streaming Social Networks, Chandra N. Sekharan, Sridhar Radhakrishnan, Ben Nelson, Amlan Chatterjee

Computer Science: Faculty Publications and Other Works

The social networks of today are a set of massive, dynamically changing graph structures. Each of these graphs contain a set of nodes (individuals) and a set of edges among the nodes (relationships). The choice of representation of a graph determines what information is easy to obtain from it. However, many social network graphs are so large that even their basic representations (e.g. adjacency lists) do not fit in main memory. Hence an ongoing field of study has focused on designing compressed representations of graphs that facilitate certain query functions.This work is based on representing dynamic social networks that we …

A Neural Network Approach To Visibility Range Estimation Under Foggy Weather Conditions, Hazar Chaabani, Faouzi Kamoun, Hichem Bargaoui, Fatma Outay, Ansar Ul Haque Yasar

All Works

© 2017 The Authors. Published by Elsevier B.V. The degradation of visibility due to foggy weather conditions is a common trigger for road accidents and, as a result, there has been a growing interest to develop intelligent fog detection and visibility range estimation systems. In this contribution, we provide a brief overview of the state-of-the-art contributions in relation to estimating visibility distance under foggy weather conditions. We then present a neural network approach for estimating visibility distances using a camera that can be fixed to a roadside unit (RSU) or mounted onboard a moving vehicle. We evaluate the proposed solution …

Enterprise Systems: The Quality Of System Outputs And Their Perceived Business Value, Ahed Abugabah

All Works

Copyright © 2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved. Organizations are exploring the opportunities offered by information technology to reduce cost and improve overall performance and gain more efficiency. Enterprise Resource Planning Systems are viewed as powerful solutions that help improve productivity, performance and overall quality. However, effective use and beneficial outcomes from such systems are nether guaranteed nor recognized. This study aimed at evaluating the business value of ERP systems and perceived benefits at the user level. This short paper briefly presenting some empirical results related enterprise system impacts and benefits. The reported results …