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Full-Text Articles in Engineering

Context-Sensitive Auto-Sanitization For Php, Jared M. Smith, Richard J. Connor, David P. Cunningham, Kyle G. Bashour, Walter T. Work Dec 2016

Context-Sensitive Auto-Sanitization For Php, Jared M. Smith, Richard J. Connor, David P. Cunningham, Kyle G. Bashour, Walter T. Work

Chancellor’s Honors Program Projects

No abstract provided.


Who's In And Who's Out?: What's Important In The Cyber World?, Tony M. Kelly Nov 2016

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 …


Robot Detection Using Gradient And Color Signatures, Megan Marie Maher May 2016

Robot Detection Using Gradient And Color Signatures, Megan Marie Maher

Honors Projects

Tasks which are simple for a human can be some of the most challenging for a robot. Finding and classifying objects in an image is a complex computer vision problem that computer scientists are constantly working to solve. In the context of the RoboCup Standard Platform League (SPL) Competition, in which humanoid robots are programmed to autonomously play soccer, identifying other robots on the field is an example of this difficult computer vision problem. Without obstacle detection in RoboCup, the robotic soccer players are unable to smoothly move around the field and can be penalized for walking into another robot. …


Intelligent Voice Activated Home Automation (Iva), Mrunal Dipakkumar Bhatt Jan 2016

Intelligent Voice Activated Home Automation (Iva), Mrunal Dipakkumar Bhatt

ETD Archive

This thesis presents the design of an original Intelligent Home Automation Architecture. My work was divided in two phases. The first portion was dedicated to acquiring a thorough understanding of the most successful and diffused Home-Automation commercial architectures. During this phase, I intended to gain a deep appreciation for the variety of organizations, capabilities, limitations, and potential areas of growth of the existing Home-Automation leading systems. In order to acquire this knowledge, I had to use a reverse engineering approach. The reason for using this methodology arises from the fact that all the products considered in this study are commercially …


Educational Methods For Inverted-Lecture Computer Science And Engineering Classrooms To Overcome Common Barriers To Stem Student Success, Kathleen Timmerman Jan 2016

Educational Methods For Inverted-Lecture Computer Science And Engineering Classrooms To Overcome Common Barriers To Stem Student Success, Kathleen Timmerman

Browse all Theses and Dissertations

New educational pedagogies are emerging in an effort to increase the number of new engineers available to enter the workforce in the coming years. One of the re-occurring themes in these pedagogies is variations of the flipped classroom. Often the additional classroom time gained from flipping is used to reinforce learning objectives. It is hypothesized that it might be more beneficial to students if a portion of that time is used to address common non-cognitive barriers that prevent students from succeeding in the major. In a freshman Introductory Computer Science course, three different pedagogies are compared: a hybrid lecture-active learning …


A Stochastic Petri Net Based Nlu Scheme For Technical Documents Understanding, Adamantia Psarologou Jan 2016

A Stochastic Petri Net Based Nlu Scheme For Technical Documents Understanding, Adamantia Psarologou

Browse all Theses and Dissertations

Natural Language Understanding (NLU) is a very old research field, which deals with machine reading comprehension. Despite the many years of work and the numerous accomplishments by several researchers in the field, there is still place for significant improvements. Here, our goal is to develop a novel NLU methodology for detecting and extracting event/action associations in technical documents. In order to achieve this goal we present a synergy of methods (Kernel extraction, Formal Language Modeling, Stochastic Petri-nets (SPN) mapping and Event Representation via SPN graph synthesis). In particular, the basic meaning of a natural language sentence is given by its …