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2018

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Articles 2251 - 2280 of 2925

Full-Text Articles in Computer Sciences

Machine Learning Methods For Flow Cytometry Analysis And Visualization, Emily Sassano Jan 2018

Machine Learning Methods For Flow Cytometry Analysis And Visualization, Emily Sassano

Electronic Theses and Dissertations

Flow cytometry is a popular analytical cell-biology instrument that uses specific wavelengths of light to profile heterogeneous populations of cells at the individual level. Current cytometers have the capability of analyzing up to 20 parameters on over a million cells, but despite the complexity of these datasets, a typical workflow relies on subjective labor-intensive manual sequential analysis. The research presented in this dissertation provides two machine learning methods to increase the objectivity, efficiency, and discovery in flow cytometry data analysis. The first, a supervised learning method, utilizes previously analyzed data to evaluate new flow cytometry files containing similar parameters. The …

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A Value Sensitive Design Approach To Adolescent Mobile Online Safety, Arup Kumar Ghosh Jan 2018

A Value Sensitive Design Approach To Adolescent Mobile Online Safety, Arup Kumar Ghosh

Electronic Theses and Dissertations

With the rise of adolescent smartphone use, concerns about teen online safety are also on the rise. A number of parental control apps are available for mobile devices, but adoption of these apps has been markedly low. To better understand these apps, their users, and design opportunities in the space of mobile online safety for adolescents, we have conducted four studies informed by the principles of Value Sensitive Design (VSD). In Study 1 (Chapter 2), we conducted a web-based survey of 215 parents and their teens (ages 13-17) using two separate logistic regression models (parent and teen) to examine the …

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Determining Vulnerability Using Attach Graphs: An Expansion Of The Current Fair Model, Beth M. Anderson Jan 2018

Determining Vulnerability Using Attach Graphs: An Expansion Of The Current Fair Model, Beth M. Anderson

EWU Masters Thesis Collection

Factor Analysis of Information Risk (FAIR) provides a framework for measuring and understanding factors that contribute to information risk. One such factor is FAIR Vulnerability; the probability that an event involving a threat will result in a loss. An asset is vulnerable if a threat actor’s Threat Capability is higher than the Resistance Strength of the asset. In FAIR scenarios, Resistance Strength is currently estimated for entire assets, oversimplifying assets containing individual systems and the surrounding environment. This research explores enhancing estimations of FAIR Vulnerability by modeling interactions between threat actors and assets through attack graphs. By breaking down the …

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Glyph Based Segmentation Of Chinese Calligraphy Characters In The "Collected Characters" Stele., David A. Mcinnis Jan 2018

Glyph Based Segmentation Of Chinese Calligraphy Characters In The "Collected Characters" Stele., David A. Mcinnis

EWU Masters Thesis Collection

Text character segmentation is the process of detecting the bounding box position of individual characters within a written text document image. The character segmentation problem remains extremely difficult for ancient Chinese calligraphy documents. This paper examines a glyph-based segmentation technique for segmenting Chinese Calligraphy characters in the "Collected Characters". The glyph-based character segmentation pipeline utilizes a combination of well-understood image processing techniques in a novel pipeline which is able to detect Chinese calligraphy characters from ink-blots with a good reliability.

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Ontologies And The Semantic Web For Digital Investigation Tool Selection, Hayden Wimmer, Lei Chen, Tom Narock Jan 2018

Ontologies And The Semantic Web For Digital Investigation Tool Selection, Hayden Wimmer, Lei Chen, Tom Narock

Information Technology: Faculty Publications

The nascent field of digital forensics is heavily influenced by practice. Much digital forensics research involves the use, evaluation, and categorization of the multitude of tools available to researchers and practitioners. As technology evolves at an increasingly rapid pace, the digital forensics field must constantly adapt by creating and evaluating new tools and techniques to perform forensic analysis on many disparate systems such as desktops, notebook computers, mobile devices, cloud, and personal wearable sensor devices, among many others. While researchers have attempted to use ontologies to classify the digital forensics domain on various dimensions, no ontology of digital forensic tools …

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Cluster-Based Network Proximities For Arbitrary Nodal Subsets, Kenneth S. Berenhaut, Peter S. Barr, Alyssa M. Kogel, Ryan L. Melvin Jan 2018

Cluster-Based Network Proximities For Arbitrary Nodal Subsets, Kenneth S. Berenhaut, Peter S. Barr, Alyssa M. Kogel, Ryan L. Melvin

Faculty & Staff Scholarship

The concept of a cluster or community in a network context has been of considerable interest in a variety of settings in recent years. In this paper, employing random walks and geodesic distance, we introduce a unified measure of cluster-based proximity between nodes, relative to a given subset of interest. The inherent simplicity and informativeness of the approach could make it of value to researchers in a variety of scientific fields. Applicability is demonstrated via application to clustering for a number of existent data sets (including multipartite networks). We view community detection (i.e. when the full set of network nodes …

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Cybersecurity And The New Era Of Space Activities, David P. Fidler Jan 2018

Cybersecurity And The New Era Of Space Activities, David P. Fidler

Articles by Maurer Faculty

No abstract provided.

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Sentiment Of The Union: Analyzing Tone In Presidential State Of The Union Addresses, Chase Rydeen Jan 2018

Sentiment Of The Union: Analyzing Tone In Presidential State Of The Union Addresses, Chase Rydeen

Honors Theses

As the machine learning and data science craze sweeps the nation, the implications and implementations are vast. This paper takes a look at both of them through the lens of a topic of national importance, at the very least for the United States. This topic is the words used by past Presidents of the United States, which are being pulled from their State of the Union Addresses. The focus of this research is on Natural Language Processing (NLP) and it's applied processes. Natural Language Processing allows for effective analysis of text-based data. Using NLP, a sentiment analysis was conducted on …

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Classifying #Metoo Hash-Tagged Tweets By Semantics To Understand The Extent Of Sexual Harassment, Claire Hubacek Jan 2018

Classifying #Metoo Hash-Tagged Tweets By Semantics To Understand The Extent Of Sexual Harassment, Claire Hubacek

Honors Theses

This thesis contains a program that will process tweets from Twitter that use the hashtag "#MeToo" and categorize them by their relevance to the movement, their stance on the movement, and the type of sexual harassment expressed (if applicable). Being able to work with a narrowed set of tweets belonging to a specific category creates the capacity to do more in-depth research and analysis, exploring Twitter as a special platform for discussing these sensitive topics and showing that this online space for expressing personal experiences has delivered unprecedented potential avenues of study. This thesis also contains research into additional solutions …

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A Quantitative Evaluation Of The Htc Vive For Virtual Reality Research, Ethan Luckett Jan 2018

A Quantitative Evaluation Of The Htc Vive For Virtual Reality Research, Ethan Luckett

Honors Theses

The equipment typically used in virtual reality (VR) research, including head-mounted displays (HMDs) and motion capture systems, has traditionally been prohibitively expensive. The recent increase in the availability of consumer-grade VR equipment has greatly lowered the barrier to entry for VR research. The equipment typically used for research can cost upwards of tens of thousands of dollars, but the consumer-grade HTC Vive system offers an HMD with room-scale tracking for less than $500. In order for scientific studies to be properly conducted using the Vive, its tracking must be well understood. This study measures the accuracy and drift in the …

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A Practical And Efficient Algorithm For The K-Mismatch Shortest Unique Substring Finding Problem, Daniel Robert Allen Jan 2018

A Practical And Efficient Algorithm For The K-Mismatch Shortest Unique Substring Finding Problem, Daniel Robert Allen

EWU Masters Thesis Collection

This thesis revisits the k-mismatch shortest unique substring (SUS) finding problem and demonstrates that a technique recently presented in the context of solving the k-mismatch average common substring problem can be adapted and combined with parts of the existing solution, resulting in a new algorithm which has expected time complexity of O(n logk n), while maintaining a practical space complexity at O(kn), where n is the string length. When k > 0, which is the hard case, the new proposal significantly improves the any-case O(n2) time complexity of the prior best method for k-mismatch SUS finding. Experimental study …

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Open Data Standards For Open Source Software Risk Management Routines: An Examination Of Spdx, Robin A. Gandhi, Matt Germonprez, Georg J.P. Link Jan 2018

Open Data Standards For Open Source Software Risk Management Routines: An Examination Of Spdx, Robin A. Gandhi, Matt Germonprez, Georg J.P. Link

Information Systems and Quantitative Analysis Faculty Publications

As the organizational use of open source software (OSS) increases, it requires the adjustment of organizational routines to manage new OSS risk. These routines may be influenced by community-developed open data standards to explicate, analyze, and report OSS risks. Open data standards are co-created in open communities for unifying the exchange of information. The SPDX® specification is such an open data standard to explicate and share OSS risk information. The development and subsequent adoption of SPDX raises the questions of how organizations make sense of SPDX when improving their own risk management routines, and of how a community benefits from …

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Regression Analysis Of Open Source Project Impact: Relationships With Activity And Rewards, Vinod Kumar Ahuja Jan 2018

Regression Analysis Of Open Source Project Impact: Relationships With Activity And Rewards, Vinod Kumar Ahuja

Information Systems and Quantitative Analysis Faculty Publications

Engagement with open source projects is becoming an increasingly important part of how people work. In this regard, there is a growing interest in how we can better understand the dynamics within an open source project related to project activity, project contributor rewards, and project impact. In this paper, we summarize our work of exploring the relationships between these items.

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Eight Observations And 24 Research Questions About Open Source Projects: Illuminating New Realities, Matt Germonprez, Georg J.P. Link, Kevin Lumbard, Sean Goggins Jan 2018

Eight Observations And 24 Research Questions About Open Source Projects: Illuminating New Realities, Matt Germonprez, Georg J.P. Link, Kevin Lumbard, Sean Goggins

Information Systems and Quantitative Analysis Faculty Publications

The rapid acceleration of corporate engagement with open source projects is drawing out new ways for CSCW researchers to consider the dynamics of these projects. Research must now consider the complex ecosystems within which open source projects are situated, including issues of for-profit motivations, brokering foundations, and corporate collaboration. Localized project considerations cannot reveal broader workings of an open source ecosystem, yet much empirical work is constrained to a local context. In response, we present eight observations from our eight-year engaged field study about the changing nature of open source projects. We ground these observations through 24 research questions that …

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Exploring The Impact Of Technology Capabilities On Trust In Virtual Teams, Deepak Khazanchi Jan 2018

Exploring The Impact Of Technology Capabilities On Trust In Virtual Teams, Deepak Khazanchi

Information Systems and Quantitative Analysis Faculty Publications

Purpose – In an environment of constant technological change, the use of virtual teams has become commonplace for many organizations. Virtual teams (VTs) bring together dispersed individuals with varying knowledge and skill sets to accomplish tasks. VTs rely heavily on information technology as the medium for communication and coordination of work. The issue of establishing and maintaining trust in VTs poses challenges for these dispersed workers. Previous research has established that higher trusting teams have better cooperation and experience improved outcomes. We hope to contribute to the literature on trust in VTs by exploring how technology can facilitate high trusting …

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Automated Tree-Level Forest Quantification Using Airborne Lidar, Hamid Hamraz Jan 2018

Automated Tree-Level Forest Quantification Using Airborne Lidar, Hamid Hamraz

Theses and Dissertations--Computer Science

Traditional forest management relies on a small field sample and interpretation of aerial photography that not only are costly to execute but also yield inaccurate estimates of the entire forest in question. Airborne light detection and ranging (LiDAR) is a remote sensing technology that records point clouds representing the 3D structure of a forest canopy and the terrain underneath. We present a method for segmenting individual trees from the LiDAR point clouds without making prior assumptions about tree crown shapes and sizes. We then present a method that vertically stratifies the point cloud to an overstory and multiple understory tree …

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Modeling And Mapping Location-Dependent Human Appearance, Zachary Bessinger Jan 2018

Modeling And Mapping Location-Dependent Human Appearance, Zachary Bessinger

Theses and Dissertations--Computer Science

Human appearance is highly variable and depends on individual preferences, such as fashion, facial expression, and makeup. These preferences depend on many factors including a person's sense of style, what they are doing, and the weather. These factors, in turn, are dependent upon geographic location and time. In our work, we build computational models to learn the relationship between human appearance, geographic location, and time. The primary contributions are a framework for collecting and processing geotagged imagery of people, a large dataset collected by our framework, and several generative and discriminative models that use our dataset to learn the relationship …

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Using The Qbest Equation To Evaluate Ellagic Acid Safety Data: Generating A Qnoael With Confidence Levels From Disparate Literature, Cynthia Rose Dickerson Jan 2018

Using The Qbest Equation To Evaluate Ellagic Acid Safety Data: Generating A Qnoael With Confidence Levels From Disparate Literature, Cynthia Rose Dickerson

Theses and Dissertations--Pharmacy

QBEST, a novel statistical method, can be applied to the problem of estimating the No Observed Adverse Effect Level (NOAEL or QNOAEL) of a New Molecular Entity (NME) in order to anticipate a safe starting dose for beginning clinical trials. The NOAEL from QBEST (called the QNOAEL) can be calculated using multiple disparate studies in the literature and/or from the lab. The QNOAEL is similar in some ways to the Benchmark Dose Method (BMD) used widely in toxicological research, but is superior to the BMD in some ways. The QNOAEL simulation generates an intuitive curve that is comparable to the …

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Algorithmic Issues In Some Disjoint Clustering Problems In Combinatorial Circuits, Zola Nailah Donovan Jan 2018

Algorithmic Issues In Some Disjoint Clustering Problems In Combinatorial Circuits, Zola Nailah Donovan

Graduate Theses, Dissertations, and Problem Reports (ETD)

As the modern integrated circuit continues to grow in complexity, the design of very large-scale integrated (VLSI) circuits involves massive teams employing state-of-the-art computer-aided design (CAD) tools. An old, yet significant CAD problem for VLSI circuits is physical design automation. In this problem, one needs to compute the best physical layout of millions to billions of circuit components on a tiny silicon surface. The process of mapping an electronic design to a chip involves several physical design stages, one of which is clustering. Even for combinatorial circuits, there exist several models for the clustering problem. In particular, we consider the …

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Sampling And Subspace Methods For Learning Sparse Group Structures In Computer Vision, Maryam Jaberi Jan 2018

Sampling And Subspace Methods For Learning Sparse Group Structures In Computer Vision, Maryam Jaberi

Electronic Theses and Dissertations

The unprecedented growth of data in volume and dimension has led to an increased number of computationally-demanding and data-driven decision-making methods in many disciplines, such as computer vision, genomics, finance, etc. Research on big data aims to understand and describe trends in massive volumes of high-dimensional data. High volume and dimension are the determining factors in both computational and time complexity of algorithms. The challenge grows when the data are formed of the union of group-structures of different dimensions embedded in a high-dimensional ambient space. To address the problem of high volume, we propose a sampling method referred to as …

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Compiler Design Of A Policy Specification Language For Conditional Gradual Release, Manasa Kashyap Harinath Jan 2018

Compiler Design Of A Policy Specification Language For Conditional Gradual Release, Manasa Kashyap Harinath

Electronic Theses and Dissertations

Securing the confidentiality and integrity of information manipulated by computer software is an old yet increasingly important problem. Current software permission systems present on Android or iOS provide inadequate support for developing applications with secure information flow policies. To be useful, information flow control policies need to specify declassifications and the conditions under which declassification must occur. Having these declassifications scattered all over the program makes policies hard to find, which makes auditing difficult. To overcome these challenges, a policy specification language, 'Evidently' is discussed that allows one to specify information flow control policies separately from the program and which …

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Practical Dynamic Transactional Data Structures, Pierre Laborde Jan 2018

Practical Dynamic Transactional Data Structures, Pierre Laborde

Electronic Theses and Dissertations

Multicore programming presents the challenge of synchronizing multiple threads. Traditionally, mutual exclusion locks are used to limit access to a shared resource to a single thread at a time. Whether this lock is applied to an entire data structure, or only a single element, the pitfalls of lock-based programming persist. Deadlock, livelock, starvation, and priority inversion are some of the hazards of lock-based programming that can be avoided by using non-blocking techniques. Non-blocking data structures allow scalable and thread-safe access to shared data by guaranteeing, at least, system-wide progress. In this work, we present the first wait-free hash map which …

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Learning Algorithms For Fat Quantification And Tumor Characterization, Sarfaraz Hussein Jan 2018

Learning Algorithms For Fat Quantification And Tumor Characterization, Sarfaraz Hussein

Electronic Theses and Dissertations

Obesity is one of the most prevalent health conditions. About 30% of the world's and over 70% of the United States' adult populations are either overweight or obese, causing an increased risk for cardiovascular diseases, diabetes, and certain types of cancer. Among all cancers, lung cancer is the leading cause of death, whereas pancreatic cancer has the poorest prognosis among all major cancers. Early diagnosis of these cancers can save lives. This dissertation contributes towards the development of computer-aided diagnosis tools in order to aid clinicians in establishing the quantitative relationship between obesity and cancers. With respect to obesity and …

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Relating First-Person And Third-Person Vision, Shervin Ardeshir Behrostaghi Jan 2018

Relating First-Person And Third-Person Vision, Shervin Ardeshir Behrostaghi

Electronic Theses and Dissertations

Thanks to the availability and increasing popularity of wearable devices such as GoPro cameras, smart phones and glasses, we have access to a plethora of videos captured from the first person (egocentric) perspective. Capturing the world from the perspective of one's self, egocentric videos bear characteristics distinct from the more traditional third-person (exocentric) videos. In many computer vision tasks (e.g. identification, action recognition, face recognition, pose estimation, etc.), the human actors are the main focus. Hence, detecting, localizing, and recognizing the human actor is often incorporated as a vital component. In an egocentric video however, the person behind the camera …

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A Decision Support Tool For Video Retinal Angiography, Sumit Laha Jan 2018

A Decision Support Tool For Video Retinal Angiography, Sumit Laha

Electronic Theses and Dissertations

Fluorescein angiogram (FA) is a medical procedure that helps the ophthalmologists to monitor the status of the retinal blood vessels and to diagnose proper treatment. This research is motivated by the necessity of blood vessel segmentation of the retina. Retinal vessel segmentation has been a major challenge and has long drawn the attention of researchers for decades due to the presence of complex blood vessels with varying size, shape, angles and branching pattern of vessels, and non-uniform illumination and huge anatomical variability between subjects. In this thesis, we introduce a new computational tool that combines deep learning based machine learning …

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Environmental Physical-Virtual Interaction To Improve Social Presence With A Virtual Human In Mixed Reality, Kangsoo Kim Jan 2018

Environmental Physical-Virtual Interaction To Improve Social Presence With A Virtual Human In Mixed Reality, Kangsoo Kim

Electronic Theses and Dissertations

Interactive Virtual Humans (VHs) are increasingly used to replace or assist real humans in various applications, e.g., military and medical training, education, or entertainment. In most VH research, the perceived social presence with a VH, which denotes the user's sense of being socially connected or co-located with the VH, is the decisive factor in evaluating the social influence of the VH—a phenomenon where human users' emotions, opinions, or behaviors are affected by the VH. The purpose of this dissertation is to develop new knowledge about how characteristics and behaviors of a VH in a Mixed Reality (MR) environment can affect …

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In-Memory Computing Using Formal Methods And Paths-Based Logic, Alvaro Velasquez Jan 2018

In-Memory Computing Using Formal Methods And Paths-Based Logic, Alvaro Velasquez

Electronic Theses and Dissertations

The continued scaling of the CMOS device has been largely responsible for the increase in computational power and consequent technological progress over the last few decades. However, the end of Dennard scaling has interrupted this era of sustained exponential growth in computing performance. Indeed, we are quickly reaching an impasse in the form of limitations in the lithographic processes used to fabricate CMOS processes and, even more dire, we are beginning to face fundamental physical phenomena, such as quantum tunneling, that are pervasive at the nanometer scale. Such phenomena manifests itself in prohibitively high leakage currents and process variations, leading …

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Analysis Of Large-Scale Population Genetic Data Using Efficient Algorithms And Data Structures, Ardalan Naseri Jan 2018

Analysis Of Large-Scale Population Genetic Data Using Efficient Algorithms And Data Structures, Ardalan Naseri

Electronic Theses and Dissertations

With the availability of genotyping data of very large samples, there is an increasing need for tools that can efficiently identify genetic relationships among all individuals in the sample. Modern biobanks cover genotypes up to 0.1%-1% of an entire large population. At this scale, genetic relatedness among samples is ubiquitous. However, current methods are not efficient for uncovering genetic relatedness at such a scale. We developed a new method, Random Projection for IBD Detection (RaPID), for detecting Identical-by-Descent (IBD) segments, a fundamental concept in genetics in large panels. RaPID detects all IBD segments over a certain length in time linear …

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Analysis Of Driver Behavior Modeling In Connected Vehicle Safety Systems Through High Fidelity Simulation, Ahura Jami Jan 2018

Analysis Of Driver Behavior Modeling In Connected Vehicle Safety Systems Through High Fidelity Simulation, Ahura Jami

Electronic Theses and Dissertations

A critical aspect of connected vehicle safety analysis is understanding the impact of human behavior on the overall performance of the safety system. Given the variation in human driving behavior and the expectancy for high levels of performance, it is crucial for these systems to be flexible to various driving characteristics. However, design, testing, and evaluation of these active safety systems remain a challenging task, exacerbated by the lack of behavioral data and practical test platforms. Additionally, the need for the operation of these systems in critical and dangerous situations makes the burden of their evaluation very costly and time-consuming. …

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Examining Users' Application Permissions On Android Mobile Devices, Muhammad Safi Jan 2018

Examining Users' Application Permissions On Android Mobile Devices, Muhammad Safi

Electronic Theses and Dissertations

Mobile devices have become one of the most important computing platforms. The platform's portability and highly customized nature raises several privacy concerns. Therefore, understanding and predicting user privacy behavior has become very important if one is to design software which respects the privacy concerns of users. Various studies have been carried out to quantify user perceptions and concerns [23,36] and user characteristics which may predict privacy behavior [21,22,25]. Even though significant research exists regarding factors which affect user privacy behavior, there is gap in the literature when it comes to correlating these factors to objectively collected data from user devices. …

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