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Articles 121 - 150 of 823
Full-Text Articles in Computer Sciences
Packet Inspection And Modification For Mobile Devices: Trustbase, Scott Heidbrink, Daniel Zappala
Packet Inspection And Modification For Mobile Devices: Trustbase, Scott Heidbrink, Daniel Zappala
Journal of Undergraduate Research
While there is a long tradition of providing protection against attackers for desktop and laptop devices, there has been less work in the mobile space. A common tool used by antivirus software is to inspect all packets entering or leaving a computer, to check for viruses or other malware. There are currently no generalpurpose tools for Android devices that provide for packet inspection and modification. There are a few tools that allow for packet capturing on mobile devices, but they can only function on “rooted” devices and do not allow modification. Since most users do not “root” their devices, these …
Messageguard: A Secure Webmail System Coupling Security With Usability, Joshua Lowe, Kent Seamons
Messageguard: A Secure Webmail System Coupling Security With Usability, Joshua Lowe, Kent Seamons
Journal of Undergraduate Research
While working on my undergraduate degree, I developed an interest for computer security and started working in the Internet Security Research Lab on campus. A PhD student who I had worked with before previously, had proposed a webmail system called MessageGuard as an ubiquitous web encryption extension. The idea behind the system is to be fully open sourced, very easy to use, and extremely secure. Not only was I able to help work on several aspects of this project with PHD, Master’s, and undergraduate students alike, but I was able to put in practice what I was learning in my …
Girl’S Cybersecurity Camp, Sarah Cunha, Dale Rowe
Girl’S Cybersecurity Camp, Sarah Cunha, Dale Rowe
Journal of Undergraduate Research
In 2015, the BYU Cybersecurity Research Lab (CSRL) held its first annual summer camp for Girls aged 14-18. A total of 38 girls attended the week’s activities and workshops. While over 75% of girls indicated they had taken a computing-related class, only 40% reported any significant interest in cybersecurity prior to the summercamp with 10% believing they had some experience in the field. At the conclusion of the camp, 80% of attendees reported a significant interest in the field with 100% of attendees interested in attending a similar event again.
Streamlining The 3d Animation Process, Dylan Hoffman, Kelly Loosli
Streamlining The 3d Animation Process, Dylan Hoffman, Kelly Loosli
Journal of Undergraduate Research
I knew from the beginning that this project – centered around improving the collaborative process of making a 3D animated film across several “stages” and made by several artists of different specialties, temperaments, and backgrounds – would be two-fold. The first phase was learning more about the process itself, and how each phase related to another. The second, zoning in on an area that has been a weakness for BYU Animated Films in the past – character effects and cloth simulation. The project evolved much over the course of the year, with far more time and value being placed in …
Facilitating Corpus Annotation By Improving Annotation Aggregation, Paul L. Felt
Facilitating Corpus Annotation By Improving Annotation Aggregation, Paul L. Felt
Theses and Dissertations
Annotated text corpora facilitate the linguistic investigation of language as well as the automation of natural language processing (NLP) tasks. NLP tasks include problems such as spam email detection, grammatical analysis, and identifying mentions of people, places, and events in text. However, constructing high quality annotated corpora can be expensive. Cost can be reduced by employing low-cost internet workers in a practice known as crowdsourcing, but the resulting annotations are often inaccurate, decreasing the usefulness of a corpus. This inaccuracy is typically mitigated by collecting multiple redundant judgments and aggregating them (e.g., via majority vote) to produce high quality consensus …
Interactive Machine Assistance: A Case Study In Linking Corpora And Dictionaries, Kevin P. Black
Interactive Machine Assistance: A Case Study In Linking Corpora And Dictionaries, Kevin P. Black
Theses and Dissertations
Machine learning can provide assistance to humans in making decisions, including linguistic decisions such as determining the part of speech of a word. Supervised machine learning methods derive patterns indicative of possible labels (decisions) from annotated example data. For many problems, including most language analysis problems, acquiring annotated data requires human annotators who are trained to understand the problem and to disambiguate among multiple possible labels. Hence, the availability of experts can limit the scope and quantity of annotated data. Machine-learned pre-annotation assistance, which suggests probable labels for unannotated items, can enable expert annotators to work more quickly and thus …
Building 3d-Printed Widgets To Incorporate Into Prototypes, David E. Brandt
Building 3d-Printed Widgets To Incorporate Into Prototypes, David E. Brandt
Theses and Dissertations
Creating interactive prototypes can be a long and difficult process. It requires expertise in various fields. Prior work in developing interactive prototypes minimize time required to make a prototype, but generally sacrifice fidelity for fluidity. Advances in 3D printing create new opportunities to prototype with greater fidelity and fluidity. We investigate the use of several kinds of sensors, including IR photo interrupters, IR photo reflectors, push button switches, and potentiometers, to create interactive prototypes. We first design a library of 3D printable interaction components, buttons, sliders, and knobs using those sensors then we develop software to transform interaction events into …
Cvic: Cluster Validation Using Instance-Based Confidences, Dean M. Lebaron
Cvic: Cluster Validation Using Instance-Based Confidences, Dean M. Lebaron
Theses and Dissertations
As unlabeled data becomes increasingly available, the need for robust data mining techniques increases as well. Clustering is a common data mining tool which seeks to find related, independent patterns in data called clusters. The cluster validation problem addresses the question of how well a given clustering fits the data set. We present CVIC (cluster validation using instance-based confidences) which assigns confidence scores to each individual instance, as opposed to more traditional methods which focus on the clusters themselves. CVIC trains supervised learners to recreate the clustering, and instances are scored based on output from the learners which corresponds to …
Data Selection Using Topic Adaptation For Statistical Machine Translation, Hitokazu Matsushita
Data Selection Using Topic Adaptation For Statistical Machine Translation, Hitokazu Matsushita
Theses and Dissertations
Statistical machine translation (SMT) requires large quantities of bitexts (i.e., bilingual parallel corpora) as training data to yield good quality translations. While obtaining a large amount of training data is critical, the similarity between training and test data also has a significant impact on SMT performance. Many SMT studies define data similarity in terms of domain-overlap, and domains are defined to be synonymous with data sources. Consequently, the SMT community has focused on domain adaptation techniques that augment small (in-domain) datasets with large datasets from other sources (hence, out-of-domain, per the definition). However, many training datasets consist of topically diverse …
Fast Inference For Interactive Models Of Text, Jeffrey A. Lund
Fast Inference For Interactive Models Of Text, Jeffrey A. Lund
Theses and Dissertations
Probabilistic models of text are a useful tool for enabling the analysis of large collections of digital text. For example, Latent Dirichlet Allocation can quickly produce topical summaries of large collections of text documents. Many important uses cases of such models include human interaction during the inference process for these models of text. For example, the Interactive Topic Model extends Latent Dirichlet Allocation to incorporate human expertiese during inference in order to produce topics which are better suited to individual user needs. However, interactive use cases of probabalistic models of text introduce new constraints on inference - the inference procedure …
An Improved Classifier Chain Ensemble For Multi-Dimensionalclassification With Conditional Dependence, Joseph Ethan Heydorn
An Improved Classifier Chain Ensemble For Multi-Dimensionalclassification With Conditional Dependence, Joseph Ethan Heydorn
Theses and Dissertations
We focus on multi-dimensional classification (MDC) problems with conditional dependence, which we call multiple output dependence (MOD) problems. MDC is the task of predicting a vector of categorical outputs for each input. Conditional dependence in MDC means that the choice for one output value affects the choice for others, so it is not desirable to predict outputs independently. We show that conditional dependence in MDC implies that a single input can map to multiple correct output vectors. This means it is desirable to find multiple correct output vectors per input. Current solutions for MOD problems are not sufficient because they …
Amiens Cathedral: City Of God, Dennis West, Dr. Seth Holladay
Amiens Cathedral: City Of God, Dennis West, Dr. Seth Holladay
Journal of Undergraduate Research
What was it like to visit a gothic cathedral in the thirteenth century? That is the question that is explored in Amiens Cathedral: City of God. The purpose of this project was to illustrate the experience a medieval citizen of Amiens would have had upon visiting the Cathedral of Amiens. This was accomplished through researching dimensions and original construction of the cathedral, and illustrating how the stained glass and other art accentuates the sermons presented.
Look Sharp! How Eye Tracking And Memory Explain Susceptibility To Phishing, Ian Jones, Anthony Vance
Look Sharp! How Eye Tracking And Memory Explain Susceptibility To Phishing, Ian Jones, Anthony Vance
Journal of Undergraduate Research
Warning messages are one of the last lines of defense in computer security and are fundamental to users’ security interactions with technology. Consequently, researchers have actively sought to understand how users interact with security warnings and why warnings are so pervasively ignored. A key contributor to the disregard of security warnings is habituation—i.e., the diminishing of attention because of frequent exposure to warning. Although habituation has been inferred as a factor in many security-warning studies, little research has examined habituation in the context of security directly because habituation as a mental state is difficult to observe using conventional methods. …
Exploring How Dual-Task Interference Influences End-User Secure Behavior, K Shane Reeves, Jeffrey Jenkins
Exploring How Dual-Task Interference Influences End-User Secure Behavior, K Shane Reeves, Jeffrey Jenkins
Journal of Undergraduate Research
Finding ways to help people behave securely is of great value and importance to companies worldwide. Policies are often created to help enforce secure behavior; however, policies are not always followed, even if they seem simple and clear.
Feature Identification And Reduction For Improved Generalization Accuracy In Secondary-Structure Prediction Using Temporal Context Inputs In Machine-Learning Models, Matthew Benjamin Seeley
Feature Identification And Reduction For Improved Generalization Accuracy In Secondary-Structure Prediction Using Temporal Context Inputs In Machine-Learning Models, Matthew Benjamin Seeley
Theses and Dissertations
A protein's properties are influenced by both its amino-acid sequence and its three-dimensional conformation. Ascertaining a protein's sequence is relatively easy using modern techniques, but determining its conformation requires much more expensive and time-consuming techniques. Consequently, it would be useful to identify a method that can accurately predict a protein's secondary-structure conformation using only the protein's sequence data. This problem is not trivial, however, because identical amino-acid subsequences in different contexts sometimes have disparate secondary structures, while highly dissimilar amino-acid subsequences sometimes have identical secondary structures. We propose (1) to develop a set of metrics that facilitates better comparisons between …
Gaseous Particulate Interaction In A 3-Phase Granular Simulation, Kevin W. Munns
Gaseous Particulate Interaction In A 3-Phase Granular Simulation, Kevin W. Munns
Theses and Dissertations
As computer generated special effects play an increasingly integral role in the development of films and other media, simulating granular material continues to be a challenging and resource intensive process. Solutions tend to be pieced together in order to address the complex and different behaviors of granular flow. As such, these solutions tend to be brittle, overly specific, and unnatural. With the introduction of a holistic 3-phase granular simulation, we can now create a reliable and adaptable granular simulation.Our solution improves upon this hybrid solution by addressing the issue of particle flow and correcting interpenetration amongst particles while maintaining the …
Validation Of Quantitative Regional Atrophy Dementia Classification In A Large Clinical Mri Sample, Samantha Sanders, Christophe Girdaud-Carrier
Validation Of Quantitative Regional Atrophy Dementia Classification In A Large Clinical Mri Sample, Samantha Sanders, Christophe Girdaud-Carrier
Journal of Undergraduate Research
Introduction Psychiatrists at the University of Utah developed a regional quantitative brain atrophy map that they hoped to be able to use to find biomarkers for diagnosis of probable Alzheimer’s disease (AD) versus frontotemporal dementia (FTD). This brain atrophy map divides the brain into 20 regions and when a brain scan is taken, they measure the brain density, or atrophy, of each of the 20 regions. We used machine learning techniques with a set of mapped fMRI brain scans to find biomarkers corresponding to the map as well as developing a predictive model for the diagnosis of AD and FTD.
Differences In Cognitive Processing Between Deaf And Hearing Individuals When Presented With Linguistic Stimuli, Aubrey Hatch, Michael Jones
Differences In Cognitive Processing Between Deaf And Hearing Individuals When Presented With Linguistic Stimuli, Aubrey Hatch, Michael Jones
Journal of Undergraduate Research
My project was designed to increase our understanding of the neurological processes of deaf individuals to shape future adaptive technologies to facilitate better education for the deaf community. More specifically, my goal was to focus on the cognitive differences between deaf and hearing individuals when presented with different types of linguistic stimuli such as: a spoken word, a written word, a signed video of a word, or a picture that represents a specific word. By increasing our understanding of these cognitive differences, I hoped to help increase the capabilities of future adaptive technological devices that would be beneficial for those …
An Extensible Technology Framework For Cyber Security Education, Frank Jordan Sheen
An Extensible Technology Framework For Cyber Security Education, Frank Jordan Sheen
Theses and Dissertations
Cyber security education has evolved over the last decade to include new methods of teaching and technology to prepare students. Instructors in this field of study often deal with a subject matter that has rigid principles, but changing ways of applying those principles. This makes maintaining courses difficult. This case study explored the kind of teaching methods, technology, and means used to explain these concepts. This study shows that generally, cyber security courses require more time to keep up to date. It also evaluates one effort, the NxSecLab, on how it attempted to relieve the administrative issues in teaching these …
Authentication Melee: A Usability Analysis Of Seven Web Authentication Systems, Scott Ruoti
Authentication Melee: A Usability Analysis Of Seven Web Authentication Systems, Scott Ruoti
Theses and Dissertations
Passwords continue to dominate the authentication landscape in spite of numerous proposals to replace them. Even though usability is a key factor in replacing passwords, very few alternatives have been subjected to formal usability studies and even fewer have been analyzed using a standard metric. We report the results of four within-subjects usability studies for seven web authentication systems. These systems span federated, smartphone, paper tokens, and email-based approaches. Our results indicate that participants prefer single sign-on systems. We utilize the Systems Usability Scale (SUS) as a standard metric for empirical analysis and find that it produces reliable, replicable results. …
Color Relationship Transfer For Digital Painting, Gregory Eric Philbrick
Color Relationship Transfer For Digital Painting, Gregory Eric Philbrick
Theses and Dissertations
A digital painter uses reference photography to add realism to a scene. This involves making n colors in a painting relate to each other more like n corresponding colors in a photograph, in terms of value and temperature. Doing this manually requires either experience or tedious experimentation. Color relationship transfer performs the task automatically, recoloring n regions of a painting so they relate in value and temperature more like n corresponding regions of a photograph. Relationship transfer also has applications in computational photography. In fact, it introduces a new paradigm for image editing in general, based on treating an image's …
Using Instance-Level Meta-Information To Facilitate A More Principled Approach To Machine Learning, Michael Reed Smith
Using Instance-Level Meta-Information To Facilitate A More Principled Approach To Machine Learning, Michael Reed Smith
Theses and Dissertations
As the capability for capturing and storing data increases and becomes more ubiquitous, an increasing number of organizations are looking to use machine learning techniques as a means of understanding and leveraging their data. However, the success of applying machine learning techniques depends on which learning algorithm is selected, the hyperparameters that are provided to the selected learning algorithm, and the data that is supplied to the learning algorithm. Even among machine learning experts, selecting an appropriate learning algorithm, setting its associated hyperparameters, and preprocessing the data can be a challenging task and is generally left to the expertise of …
Neurological Research To Supplement Hmd Technology Development For The Benefit Of Deaf And Hard-Of-Hearing Students, Tyler Foulger, Michael Jones
Neurological Research To Supplement Hmd Technology Development For The Benefit Of Deaf And Hard-Of-Hearing Students, Tyler Foulger, Michael Jones
Journal of Undergraduate Research
Introduction: The purpose of this MRI study was an attempt to discover and understand how communication is processed via the neural pathways of children ages 8-10. Analysis of the data we obtained would possibly help us in better adapting our head-mounted display (HMD) technology for deaf and hard-of-hearing children in educational settings where communication is common. Since HMDs utilize a sign language interpreter within a screen on the glasses, this technology would eliminate the need for deaf/hard-of-hearing users to constantly alternate their attention back and forth between a live interpreter in the room and the presentation by the teacher. Having …
Multilingual Extraction Ontologies, David W. Embley, Stephen W. Liddle, Deryle W. Lonsdale, Yuri Tijerino
Multilingual Extraction Ontologies, David W. Embley, Stephen W. Liddle, Deryle W. Lonsdale, Yuri Tijerino
Journal of Undergraduate Research
On December 29, 2009 we were informed that our application for a 2010 MEG grant was approved. This final report sketches the accomplishments attained during the project’s timeframe since then.
Psycholinguistic Study: Deaf Children Vs. Codas And Language Comprehension, Amber Smith, Michael Jones
Psycholinguistic Study: Deaf Children Vs. Codas And Language Comprehension, Amber Smith, Michael Jones
Journal of Undergraduate Research
This project will use an EEG to differentiate brain response to given stimuli between deaf and CODA (children of deaf adults) participants. This project is simple in nature, we will administer two tests: one in ASL and one in English, while the participant is wearing the EEG. We will then analyze and compare the data between the two groups.
Judicious Use Of Communication For Inherently Parallel Optimization, Andrew W. Mcnabb
Judicious Use Of Communication For Inherently Parallel Optimization, Andrew W. Mcnabb
Theses and Dissertations
Function optimization---finding the minimum or maximum of a given function---is an extremely challenging problem with applications in physics, economics, machine learning, engineering, and many other fields. While optimization is an active area of research, only a portion of this work acknowledges parallel computation, which is now widely available. Today, anyone with a modest budget can buy a cluster with hundreds of cores, pay for access to a supercomputer with thousands of processors, or at least purchase a laptop with 8 cores. Thus, an algorithm that works well in serial but cannot be parallelized is needlessly inefficient in real-life computationalenvironments.We address …
Frontier: A Framework For Extracting And Organizing Biographical Facts In Historical Documents, Joseph Park
Frontier: A Framework For Extracting And Organizing Biographical Facts In Historical Documents, Joseph Park
Theses and Dissertations
The tasks of entity recognition through ontological commitment, fact extraction and organization with respect to a target schema, and entity deduplication have all been examined in recent years, and systems exist that can perform each individual task. A framework combining all these tasks, however, is still needed to accomplish the goal of automatically extracting and organizing biographical facts about persons found in historical documents into disambiguated entity records. We introduce FROntIER (Fact Recognizer for Ontologies with Inference and Entity Resolution) as the framework to recognize and extract facts using an ontology and organize facts of interest through inferring implicit facts …
Replication And Knowledge Production In Empirical Software Engineering Research, Jonathan L. Krein
Replication And Knowledge Production In Empirical Software Engineering Research, Jonathan L. Krein
Theses and Dissertations
Although replication is considered an indispensable part of the scientific method in software engineering, few replication studies are published each year. The rate of replication, however, is not surprising given that replication theory in software engineering is immature. Not only are replication taxonomies varied and difficult to reconcile, but opinions on the role of replication contradict. In general, we have no clear sense of how to build knowledge via replication, particularly given the practical realities of our research field. Consequently, most replications in software engineering yield little useful information. In particular, the vast majority of external replications (i.e., replications performed …
Framework To Implement Authentication, Authorization And Secure Communications In A Multiuser Collaborative Cax Environment, Francis Mensah
Framework To Implement Authentication, Authorization And Secure Communications In A Multiuser Collaborative Cax Environment, Francis Mensah
Theses and Dissertations
Computer Aided Design (CAD) applications have historically been based on a single user per application architecture. Although this architecture is still popular to date, it does have several drawbacks. First of all the single user CAD architecture inhibits a concurrent engineering design process where several designers can work on the same model simultaneously. This limitation introduces time inefficiency especially when a project involves geographically dispersed designers. A solution to these drawbacks could be a transition from the traditional single user CAD architecture to a multiuser collaborative architecture. Advances in computer networking technologies, especially relating to the Internet, have provided the …
Classifying And Cataloging Cyber-Security Incidents Within Cyber-Physical Systems, William B. Miller
Classifying And Cataloging Cyber-Security Incidents Within Cyber-Physical Systems, William B. Miller
Theses and Dissertations
In the past, there were perceived delineations between the cyber world and the physical world. We are becoming increasingly aware of the overlap between these two worlds, and the overlap itself is increasing. The overlap between these two worlds is known as cyber-physical systems. There have been several incidents involving cyber-physical systems and the number of these incidents is increasing dramatically. In the past there has been no effort to identify methods for describing these incidents in the unique context of cyber-physical systems. This research provides a taxonomy for classifying these incidents that focuses on cross domain, impact oriented analysis. …