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Full-Text Articles in Engineering
Grammatical Triples Extraction For The Distant Reading Of Textual Corpora, Stephanie Buongiorno, Stephanie Buongiorno
Grammatical Triples Extraction For The Distant Reading Of Textual Corpora, Stephanie Buongiorno, Stephanie Buongiorno
Multidisciplinary Studies Theses and Dissertations
Grammatical triples extraction has become increasingly important for the analysis of large, textual corpora. By providing insight into the sentence-level linguistic features of a corpus, extracted triples have supported interpretations of some of the most relevant problems of our time. The growing importance of triples extraction for analyzing large corpora has put the quality of extracted triples under new scrutiny, however. Triples outputs are known to have large amounts of erroneous triples. The extraction of erroneous triples poses a risk for understanding a textual corpus because erroneous triples can be nonfactual and even analogous to misinformation. Disciplines such as the …
Personal Library Organization And Tracking Application (Plot), Katie Honsinger
Personal Library Organization And Tracking Application (Plot), Katie Honsinger
Honors Projects
This project is inspired by my family's gloriously unmanageable book collection. Its primary goal is to provide a simple way to track your book collection, to avoid double-buying and help disorganized book-lovers everywhere stay sane! You can also track where a particular book is physically (or at least, where it should be!). There are a few features I'd still like to implement, but mainly I want this app to stay simple so it is easy to use and maintain.
Backlog Burner: An Adventure Into Automated Scheduling, Anjolaoluwa J. Olubusi
Backlog Burner: An Adventure Into Automated Scheduling, Anjolaoluwa J. Olubusi
Senior Independent Study Theses
The focus of this independent study is to explain the nurse scheduling problem (NSP) and use it as a basis to create an automated scheduling program. The nurse scheduling problem is an operational research problem that sets to find an optimal hospital schedule that fulfills the needs of the hospital and the personal requests of the nurses. The majority of solutions for the nurse scheduling problem are often designed within a hospital setting. The objective of this independent study is to use the solutions of the nurse scheduling problem to develop an automated scheduling program for the College of Wooster …
Enhanced Security Utilizing Side Channel Data Analysis, Michael Taylor
Enhanced Security Utilizing Side Channel Data Analysis, Michael Taylor
Computer Science and Engineering Theses and Dissertations
The physical state of a system is affected by the activities and processes in which it is tasked with carrying out. In the past there have been many instances where such physical changes have been exploited by bad actors in order to gain insight into the operational state and even the data being held on a system. This method of side channel exploitation is very often effective due to the relative difficulty of obfuscating activity on a physical level. However, in order to take advantage of side channel data streams one must have a detailed working knowledge of how a …
Exploring Neural Networks For Predicting Sentinel-C Backscatter Between Image Acquisitions, Zhongdi Wu
Exploring Neural Networks For Predicting Sentinel-C Backscatter Between Image Acquisitions, Zhongdi Wu
Computer Science and Engineering Theses and Dissertations
Measuring moisture dynamics in soil and overlying vegetation is key to understanding ecosystem and agricultural dynamics in many contexts. For many applications, moisture information is demanded at high temporal frequency over large areas. Sentinel-1 C-band radar backscatter satellite images provide a repeating sequence of fine-resolution (10-m) observations that can be used to infer soil and vegetation moisture, but the 12-day interval between satellite observations is infrequent relative to the sensed moisture dynamics. Machine learning approaches have been used to predict soil moisture at higher spatial resolutions than the original satellite images, but little effort has been made to increase the …
Machine Learning Applications In Power Systems, Xinan Wang
Machine Learning Applications In Power Systems, Xinan Wang
Electrical Engineering Theses and Dissertations
Machine learning (ML) applications have seen tremendous adoption in power system research and applications. For instance, supervised/unsupervised learning-based load forecasting and fault detection are classic ML topics that have been well studied. Recently, reinforcement learning-based voltage control, distribution analysis, etc., are also gaining popularity. Compared to conventional mathematical methods, ML methods have the following advantages: (i). better robustness against different system configurations due to its data-driven nature; (ii). better adaption to system uncertainties; (iii). less dependent on the modeling accuracy and validity of assumptions. However, due to the unique physics of the power grid, many problems cannot be directly solved …
Long Term Software Quality And Reliability Assurance In A Small Company, Eric Abuta
Long Term Software Quality And Reliability Assurance In A Small Company, Eric Abuta
Computer Science and Engineering Theses and Dissertations
Demonstrating software reliability across multiple software releases has become essential in making informed decisions of upgrading software releases without impacting significantly end users' characterized processes and software quality standards. Standard defect and workload data normally collected in a typical small software development organization can be used for this purpose. Objective of this study was to demonstrate how to measure software reliability in multiple releases and whether continuous defect fixes and code upgrades increased software reliability. This study looked at techniques such as trend test that evaluated software system's overall trend and stability, input domain reliability models (IDRM) that assessed system's …
A Grammar Based Approach To Distributed Systems Fault Diagnosis Using Log Files, Stephen Hanka
A Grammar Based Approach To Distributed Systems Fault Diagnosis Using Log Files, Stephen Hanka
Computer Science and Engineering Theses and Dissertations
Diagnosing and correcting failures in complex, distributed systems is difficult. In a network of perhaps dozens of nodes, each of which is executing dozens of interacting applications, sometimes from different suppliers or vendors, finding the source of a system failure is a confusing, tedious piece of detective work. The person assigned this task must trace the failing command, event, or operation through the network components and find a deviation from the correct, desired interaction sequence. After a deviation is identified, the failing applications must be found, and the fault or faults traced to the incorrect source code.
Often the primary …
Improving System-On-Chip Test Networks For: Bandwidth, Security, And Power, Saurabh Gupta
Improving System-On-Chip Test Networks For: Bandwidth, Security, And Power, Saurabh Gupta
Computer Science and Engineering Theses and Dissertations
Modern System-on-Chips (SoCs) provide benefits such as reduction in overall system cost, and size, increased performance, and lower power consumption. Increasing complexity of these Integrated Circuits (ICs) has resulted in a higher probability of manufacturing defects. Manufacturing defects can result in the faulty operation of a system. Thus, it is essential to test an IC after it is manufactured to detect any possible faults in it. These SoCs include on-chip embedded instruments that can be used for test, debug, diagnosis, validation, monitoring, characterization, configuration, or functional purposes. IEEE 1687 Std. (IJTAG) provides a standard interface for the reconfigurable access and …
Real-Time Assessment And Visual Feedback For Patient Rehabilitation Using Inertial Sensors, Deepa Adinarayanan
Real-Time Assessment And Visual Feedback For Patient Rehabilitation Using Inertial Sensors, Deepa Adinarayanan
ETD Archive
Rehabilitation exercises needs have been continuously increasing and have been projected to increase in future as well based on its demand for aging population, recovering from surgery, injury and illness and the living and working lifestyle of the people. This research aims to tackle one of the most critical issues faced by the exercise administers-Adherence or Non-Adherence to Home Exercise problems especially has been a significant issue resulting in extensive research on the psychological analysis of people involved. In this research, a solution is provided to increase the adherence of such programs through an automated real-time assessment with constant visual …
Continuous Human Activity Tracking Over A Large Area With Multiple Kinect Sensors, Akshat C. Hans
Continuous Human Activity Tracking Over A Large Area With Multiple Kinect Sensors, Akshat C. Hans
ETD Archive
In recent years, researchers had been inquisitive about the use of technology to enhance the healthcare and wellness of patients with dementia. Dementia symptoms are associated with the decline in thinking skills and memory severe enough to reduce a person’s ability to pay attention and perform daily activities. Progression of dementia can be assessed by monitoring the daily activities of the patients. This thesis encompasses continuous localization and behavioral analysis of patient’s motion pattern over a wide area indoor living space using multiple calibrated Kinect sensors connected over the network. The skeleton data from all the sensor is transferred to …
Who's In And Who's Out?: What's Important In The Cyber World?, Tony M. Kelly
Who's In And Who's Out?: What's Important In The Cyber World?, Tony M. Kelly
HON499 projects
The aim of this paper is to offer an introduction to the exploding field of cybersecurity by asking what are the most important concepts or topics that a new member of the field of cybersecurity should know. This paper explores this question from three perspectives: from the realm of business and how the cyber world is intertwined with modern commerce, including common weaknesses and recommendations, from the academic arena examining how cybersecurity is taught and how it should be taught in a classroom or laboratory environment, and lastly, from the author’s personal experience with the cyber world. Included information includes …
Tspoons: Tracking Salience Profiles Of Online News Stories, Kimberly Laurel Paterson
Tspoons: Tracking Salience Profiles Of Online News Stories, Kimberly Laurel Paterson
Master's Theses
News space is a relatively nebulous term that describes the general discourse concerning events that affect the populace. Past research has focused on qualitatively analyzing news space in an attempt to answer big questions about how the populace relates to the news and how they respond to it. We want to ask when do stories begin? What stories stand out among the noise? In order to answer the big questions about news space, we need to track the course of individual stories in the news. By analyzing the specific articles that comprise stories, we can synthesize the information gained from …
Forensic Analysis Of Whatsapp On Android Smartphones, Neha S. Thakur
Forensic Analysis Of Whatsapp On Android Smartphones, Neha S. Thakur
University of New Orleans Theses and Dissertations
Android forensics has evolved over time offering significant opportunities and exciting challenges. On one hand, being an open source platform Android is giving developers the freedom to contribute to the rapid growth of the Android market whereas on the other hand Android users may not be aware of the security and privacy implications of installing these applications on their phones. Users may assume that a password-locked device protects their personal information, but applications may retain private information on devices, in ways that users might not anticipate. In this thesis we will be concentrating on one such application called 'WhatsApp', a …