Computer Sciences Commons^™

Prepositional Phrase Attachment Problem Revisited: How Verbnet Can Help, Dan Bailey, Yuliya Lierler, Benjamin Susman

Computer Science Faculty Proceedings & Presentations

Resolving attachment ambiguities is a pervasive problem in syntactic analysis. We propose and investigate an approach to resolving prepositional phrase attachment that centers around the ways of incorporating semantic knowledge derived from the lexico-semantic ontologies such as VERBNET and WORDNET.

Global Pattern Search At Scale, R. Jordan Crouser, Matthew C. Schmidt, Stephen Kelley, Benjamin Miller, Daniel Hook, Lauren Edwards, Maja Milosavljevic, Elizabeth Michel, Elizabeth Ferme, Robert Carrington, Albert I. Reuther

Computer Science: Faculty Publications

In recent years, data collection has far outpaced the tools for data analysis in the area of non-traditional GEOINT analysis. Traditional tools are designed to analyze small-scale numerical data, but there are few good interactive tools for processing large amounts of unstructured data such as raw text. In addition to the complexities of data processing, presenting the data in a way that is meaningful to the end user poses another challenge. In our work, we focused on analyzing a corpus of 35,000 news articles and creating an interactive geovisualization tool to reveal patterns to human analysts. Our comprehensive tool, Global …

Cyber Security & Cyber Crimes/Threats, Chad A. Wood

Senior Seminars

No abstract provided.

The Effects Of Technology On Today’S Education, Jelani Saunders

Senior Seminars

No abstract provided.

The Integration Of Technology: Changing The World Of Education And Learning, Emily Reitz

Senior Seminars

No abstract provided.

Technology And Gambling: How It Has Changed The Game, Nicholas Hensley

Senior Seminars

No abstract provided.

Handling Human Hacking: Creating A Comprehensive Defensive Strategy Against Modern Social Engineering, Charles Snyder

Senior Honors Theses

Social engineering is one of the most devastating threats to any company or business. Rather than relying upon technical flaws in order to break into computer networks, social engineers utilize a suave personality in order to deceive individuals through clever conversation. These devious conversations frequently provide the attacker with sufficient information to compromise the company’s computer network. Unlike common technical attacks, social engineering attacks cannot be prevented by security tools and software. Instead of attacking a network directly, a social engineer exploits human psychology in order to coerce the victim to inadvertently divulge sensitive information. Further complicating the issue, the …

Data Mining Temporal Work Patterns Of Programming Student Populations, Dale E. Parson, Lori Bogumil, Allison Seidel

Computer Science and Information Technology Faculty

This paper reports the second stage of a study of the correlations between the temporal work patterns of computer programming students and their success or failure as measured by programming project assignment grades and related metrics. The first stage confirmed the importance for most students of getting an early start on a programming project, and it also uncovered the fact that some student groups perform well with late starts, suggesting the likelihood that they engage in the productive practice of active procrastination. The second most important factor for success is the average length of assignment work sessions. Session lengths from …

Towards Practical Graph-Based Verification For An Object-Oriented Concurrency Model, Alexander Heußner, Christopher M. Poskitt, Claudio Corrodi, Benjamin Morandi

Research Collection School Of Computing and Information Systems

To harness the power of multi-core and distributed platforms, and to make the development of concurrent software more accessible to software engineers, different object-oriented concurrency models such as SCOOP have been proposed. Despite the practical importance of analysing SCOOP programs, there are currently no general verification approaches that operate directly on program code without additional annotations. One reason for this is the multitude of partially conflicting semantic formalisations for SCOOP (either in theory or by-implementation). Here, we propose a simple graph transformation system (GTS) based run-time semantics for SCOOP that grasps the most common features of all known semantics of …

How The University Of California Runs One Repository For Ten Campuses, Katie Fortney

Inaugural CSU IR Conference, 2015

Katie Fortney, JD, MLIS, Copyright Policy & Education Officer, Office of Scholarly Communication, University of California http://osc.universityofcalifornia.edu/

Implementing Metaarchive And Lockss At Digital Commons @Cal Poly, Michele Wyngard

Inaugural CSU IR Conference, 2015

Michele Wyngard, Digital Repository Coordinator, CSU Cal Poly

Using Google Tag Manager And Google Analytics, (Code{4}Lib Journal), Suzanna Conrad

Inaugural CSU IR Conference, 2015

Suzanna Conrad, Digital Initiatives Librarian, Cal Poly Pomona

What’S New Since The April 2013 Stim Ir Subcommittee Report To Cold: Hydra, Islandora And Dspace, Aaron Collier, Suzanna Conrad, Carmen Mitchell, Joan Parker, Andrew Weiss, Jeremy C. Shellhase

Inaugural CSU IR Conference, 2015

Aaron Collier, Digital Repository Services Manager, Chancellor’s Office
Suzanna Conrad, Digital Initiatives Librarian, Cal Poly Pomona
Carmen Mitchell, Institutional Repository Librarian, CSU San Marcos
Joan Parker, Librarian, Moss Landing Marine Laboratories
Andrew Weiss, Digital Services Librarian, CSU Northridge

Jeremy Shellhase, Head of Information Services & Systems Department, Humboldt State University

The State Of Scholarworks, Aaron Collier

Inaugural CSU IR Conference, 2015

Aaron Collier, Digital Repository Services Manager, Chancellor’s Office

Where Do We Develop? Discovering Regions For Urban Investment In Senegal, Derek Doran, Andrew Fox, Veena Mendiratta

Computer Science and Engineering Faculty Publications

The rate of urbanization in developing countries, defined as the speed with which a population shifts from rural to urban areas, is among the highest in the world. The disproportionate number of citizens that live in a small numbers of cities places incredible pressure on the largest cities in these countries, which may already be faced with limited resources, weak industrialization, and underdeveloped infrastructures. Urban planning researchers as well as policy makers have suggested that governments in developing countries make capital investments within and surrounding smaller cities to attract citizens away from large urban centers, thereby lowering the pressure placed …

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.

Tlv: Abstraction Through Testing, Learning, And Validation, Jun Sun, Hao Xiao, Yang Liu, Shang-Wei Lin, Shengchao Qin

Research Collection School Of Computing and Information Systems

A (Java) class provides a service to its clients (i.e., programs which use the class). The service must satisfy certain specifications. Different specifications might be expected at different levels of abstraction depending on the client's objective. In order to effectively contrast the class against its specifications, whether manually or automatically, one essential step is to automatically construct an abstraction of the given class at a proper level of abstraction. The abstraction should be correct (i.e., over-approximating) and accurate (i.e., with few spurious traces). We present an automatic approach, which combines testing, learning, and validation, to constructing an abstraction. Our approach …

Feature Aligned 3d Mesh Morphing, Sabin Timalsena

Research Horizons Day Posters

No abstract provided.

Retrospective Case Study And Potential Solutions In Regard To The Object Oriented Design Of Charger Through Various Modeling And Analyses, Jesse Moore

Research Horizons Day Posters

No abstract provided.

Check Exception Automation (Cea) System, Aashima Arora

Masters Theses & Doctoral Dissertations

Check Exception Automation (CEA) System is a web application which provides the facility to create and resolve the check exception that occurs after the check is successfully deposited to the American Bank. Checks can be deposited via different channels such as ATM, Cash Vault (which is a kind of check dropping box) and via mobile. There are a number of exceptions that may occur after depositing the check such as missing signature, wrong amount, altered check, duplicate check and missing amount. The older check exception resolution process was manual process. The goal of this project is to automate the check …

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 …

Analysis Of Random Metric Spaces Explains Emergence Phenomenon And Suggests Discreteness Of Physical Space, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

In many practical situations, systems follow the pattern set by the second law of thermodynamics: they evolve from an organized inhomogeneous state into a homogeneous structure-free state. In many other practical situations, however, we observe the opposite emergence phenomenon: in an originally homogeneous structure-free state, an inhomogeneous structure spontaneously appears. In this paper, we show that the analysis of random metric spaces provides a possible explanation for this phenomenon. We also show that a similar analysis supports space-time models in which proper space is discrete.

Gaussian Weighted Neighborhood Connectivity Of Nonlinear Line Attractor For Learning Complex Manifolds, Theus H. Aspiras, Vijayan K. Asari, Wesam Sakla

Electrical and Computer Engineering Faculty Publications

The human brain has the capability to process high quantities of data quickly for detection and recognition tasks. These tasks are made simpler by the understanding of data, which intentionally removes redundancies found in higher dimensional data and maps the data onto a lower dimensional space. The brain then encodes manifolds created in these spaces, which reveal a specific state of the system. We propose to use a recurrent neural network, the nonlinear line attractor (NLA) network, for the encoding of these manifolds as specific states, which will draw untrained data towards one of the specific states that the NLA …

Saberlytics Software Suite, Dylan Hallagan, Cody Thomas

Computer Science Undergraduate

No abstract provided.

Superhero Camp, Ben Fennell, Matthew Czajka

Computer Science Undergraduate

No abstract provided.

Developing Beginner-Friendly Programming Error Messages, Aaron D. Lemmon, Emma Sax, Paul A. Schliep

Undergraduate Research Symposium 2015

The motivation for our work is to introduce a recently developed programming language, Clojure, in a beginner computer science (CSci) class at the University of Minnesota, Morris. Clojure is an industryaccepted programming language that provides significant benefits for beginner programmers, such as focus on a functional approach to programming which, in UMM experience, provides a good foundation for subsequent CSci curriculum. Learning Clojure in an introductory class opens opportunities for students to collaborate on numerous worldwide projects, as well as take advantage of improvements in modern computing hardware. However, Clojure is challenging to use because of its complicated handling of …

Topological Manifolds, Grant Wilson

Thinking Matters Symposium Archive

Topological Manifolds are abstract spaces that locally resemble Euclidean space. For example, consider a round globe and a flat map. The map is a 2-dimensional representation of a 3-dimensional space. Given any point on the globe we can find a corresponding position on the map, and vice versa. This correspondence is called a chart. With a sufficient number of charts, we can describe the whole space. Such a collection of charts is called an Atlas. It is possible to construct different Atlases for the same space, allowing us to move from one chart, to the space, to another chart. This …

Accuracy Of Optical Character Recognition Software Google Tesseract, Joshua A. Suitter

Thinking Matters Symposium Archive

Tesseract is an open-source OCR (Optical Character Recognition) softwareengine originally developed by HP between 1985 and 1995, it is now sponsored by Google Projects (Google Tesseract). While Tesseract is known as one of the most accurate free OCR enginesavailable today, it has numerous limitations that dramatically affect its performance; its ability to correctly recognize characters in a scan or image. During my research I have found that certain fonts are accepted more than others, and font size, spacing, and image quality all play a role in how Tesseract performs. In this project, I will also be looking into Wolfram’s Mathematica …

The Truman Show: Scalable Generation Of Artificial Network Traffic For Cyber Security Research, Adam Wirth

Thinking Matters Symposium Archive

Network traffic generation is a key component of the creation of a network simulation environment. In order to create a realistic simulation of a large scale network in action, it is necessary to have a large volume of user traffic. Past methods for providing user traffic, such as hiring users to manually generate traffic, or recording existing traffic of an active network, provide limited control. Managing and directing users is time consuming, and using existing traffic is restricted by recorded conditions. The Truman Show project provides an infinitely adjustable alternative by utilizing agent based modeling of individual users. An agent …

Privacy-Preserving Social Network Analysis, Christine Marie Task

Open Access Dissertations

Data privacy in social networks is a growing concern that threatens to limit access to important information contained in these data structures. Analysis of the graph structure of social networks can provide valuable information for revenue generation and social science research, but unfortunately, ensuring this analysis does not violate individual privacy is difficult. Simply removing obvious identifiers from graphs or even releasing only aggregate results of analysis may not provide sufficient protection. Differential privacy is an alternative privacy model, popular in data-mining over tabular data, that uses noise to obscure individuals' contributions to aggregate results and offers a strong mathematical …