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Articles 1381 - 1410 of 1688
Full-Text Articles in Computer Engineering
Project Llama: Making A Cappella Arranging Easier, Jason Lu
Project Llama: Making A Cappella Arranging Easier, Jason Lu
Liberal Arts and Engineering Studies
This project was intended to improve the current state of a cappella arranging. It explains the problems with current tools and explores other options.
Image Segmentation Using Fuzzy-Spatial Taxon Cut, Lauren Barghout
Image Segmentation Using Fuzzy-Spatial Taxon Cut, Lauren Barghout
MODVIS Workshop
Images convey multiple meanings that depend on the context in which the viewer perceptually organizes the scene. This presents a problem for automated image segmentation, because it adds uncertainty to the process of selecting which objects to include or not include within a segment. I’ll discuss the implementation of a fuzzy-logic-natural-vision-processing engine that solves this problem by assuming the scene architecture prior to processing. The scene architecture, a standardized natural-scene-perception-taxonomy comprised of a hierarchy of nested spatial-taxons. Spatial-taxons are regions (pixel-sets) that are figure-like, in that they are perceived as having a contour, are either `thing-like', or a `group of …
A Balanced Secondary Structure Predictor, Md Nasrul Islam
A Balanced Secondary Structure Predictor, Md Nasrul Islam
LSU New Orleans Theses and Dissertations
Secondary structure (SS) refers to the local spatial organization of the polypeptide backbone atoms of a protein. Accurate prediction of SS is a vital clue to resolve the 3D structure of protein. SS has three different components- helix (H), beta (E) and coil (C). Most SS predictors are imbalanced as their accuracy in predicting helix and coil are high, however significantly low in the beta. The objective of this thesis is to develop a balanced SS predictor which achieves good accuracies in all three SS components. We proposed a novel approach to solve this problem by combining a genetic algorithm …
Two Correspondence Problems Easier Than One, Aaron Michaux, Zygmunt Pizlo
Two Correspondence Problems Easier Than One, Aaron Michaux, Zygmunt Pizlo
MODVIS Workshop
Computer vision research rarely makes use of symmetry in stereo reconstruction despite its established importance in perceptual psychology. Such stereo reconstructions produce visually satisfying figures with precisely located points and lines, even when input images have low or moderate resolution. However, because few invariants exist, there are no known general approaches to solving symmetry correspondence on real images. The problem is significantly easier when combined with the binocular correspondence problem, because each correspondence problem provides strong non-overlapping constraints on the solution space. We demonstrate a system that leverages these constraints to produce accurate stereo models from pairs of binocular images …
Novel Bioinformatic Approaches For Analyzing Next-Generation Sequencing Data, Yan Peng
Novel Bioinformatic Approaches For Analyzing Next-Generation Sequencing Data, Yan Peng
Dissertations
In general, DNA reconstruction is deemed as the key of molecular biology since it makes people realize how genotype affects phenotypes. The DNA sequencing technology emerged exactly towards this and has greatly promoted molecular biology’s development. The traditional method, "Sanger," is effective but extremely expensive on a cost-per-base basis. This shortcoming of Sanger method leads to the rapid development of next-generation sequencing technologies. The NGS technologies are widely used by virtue of their low-cost, high-throughput, and fast nature. However, they still face major drawbacks such as huge amounts of data as well as relatively short read length compared with traditional …
Experimental Boss Design And Testing, Joseph P. Mistretta
Experimental Boss Design And Testing, Joseph P. Mistretta
Undergraduate Honors Theses
Over the years, gaming has developed rapidly from simple pixel-based experiences to fully blown three-dimensional worlds. As developing technologies improve, so does the complexity and flexibility of what can be created. Encounters, along with all aspects of any gaming experience, have evolved along with the technologies that create them. These intense combat instances, often times referred to as “bosses”, represent a chance for the developer to challenge player skill, cooperation, and coordination. In addition to being major challenges, encounters also allow players to feel a sense of progression as they learn and adapt to mechanics incorporated within an encounter’s design. …
Robust And Real-Time Stereo Matching On Parallel Graphics Hardware Using Gradient-Based Disparity Refinement, Jedrzej Kowalczuk
Robust And Real-Time Stereo Matching On Parallel Graphics Hardware Using Gradient-Based Disparity Refinement, Jedrzej Kowalczuk
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
Computer vision attempts to provide camera-equipped machines with visual perception, i.e., the capability to comprehend their surroundings through the analysis and understanding of images. The ability to perceive depth is a vital component of visual perception that enables machines to interpret the three-dimensional structure of their surroundings and allows them to navigate through the environment. In computer vision, depth perception is achieved via stereo matching, a process that identifies correspondences between pixels in images acquired using a pair of horizontally offset cameras. It is possible to calculate depths from correspondences or, more specifically, the positional offsets (disparities) between pixels in …
Authentication Protocols Based On Advanced Encryption Standard (Aes), Michael Smith, Brandon Barker, Liljana Babinkostova
Authentication Protocols Based On Advanced Encryption Standard (Aes), Michael Smith, Brandon Barker, Liljana Babinkostova
College of Arts and Sciences Presentations
For the last three decades, hash functions have been an essential element of the cryptography used for securing computers and electronic communications. The SmartDongle is a flash drive produced by MicroWorks and is meant to secure data and assure authorized use of software. In this project, we investigate the security of certain cryptographic techniques used in the current implementation of the SmartDongle’s authentication protocol. In particular, we analyze how the use of Merkle-Damgard hash functions based on a simplified version of the Advanced Encryption Standard (AES) can affect the SmartDongle's security. Our study involves extensive computational experimentation and analysis that …
A Study Of Microwave Curing Of Underfill Using Open And Closed Microwave Ovens, Aditya Thakare
A Study Of Microwave Curing Of Underfill Using Open And Closed Microwave Ovens, Aditya Thakare
Dissertations and Theses
As the demand for microprocessors is increasing with more and more consumers using integrated circuits in their daily life, the demand on the industry is increasing to ramp up production.
In order to speed up the manufacturing processes, new and novel approaches are trying to change certain aspects of it. Microwaves have been tried as an alternative to conventional ovens in the curing of the polymers used as underfills and encapsulants in integrated circuits packages. Microwaves however being electromagnetic waves have non uniform energy distribution in different settings, causing burning or incomplete cure of polymers.
In this study, we compare …
Cloud Enabled Attack Vectors, Ryan Jasper
Cloud Enabled Attack Vectors, Ryan Jasper
Purdue Polytechnic Directed Projects
The purpose of this directed project and related research was to demonstrate and catalog a new attack vector that utilizes cloud managed infrastructure. Cloud computing is a recent trend that is creating significant hype in the IT sector. Being that cloud computing is a new theme in the computing world, there are many security concerns that remain unknown and unexplored. The product of this directed project provides a documented taxonomy of the new attack vector and how to mitigate risk from this kind of attack.
The new attack vector creates efficiencies throughout the lifecycle of an attack and greatly reduces …
Disc Golf Locator, Christian Wallenfelsz, Shane Gamble, Noah Sanor, Brandon Linhart
Disc Golf Locator, Christian Wallenfelsz, Shane Gamble, Noah Sanor, Brandon Linhart
Electrical and Computer Engineering Faculty Research
Disc golf is a game similar to traditional golf where players throw small plastic discs into chain-link nets. Disc golf courses cover several acres containing lakes, small wooded areas, large bushes, and grassy fields. It is not uncommon to accidentally throw a golf disc into the woods or bushes, so it is the goal of this project to create a device to locate the disc and make suggestions for the player to improve performance. A small device will be attached the disc which will track its location and flight characteristics. The device will contain a GPS receiver, an inertial measurement …
Smart Solar Oven, Aaron Gragg
Smart Solar Oven, Aaron Gragg
Computer Engineering
Though solar oven technology provides a green and cost effective means of cooking, it is often not adopted because it fails to meet the demands of speed and reliability that are commonplace in our society. This project explores the modification of a traditional box solar to meet these demands by allowing the oven to report temperature to a user’s phone as well as orient itself towards the sun throughout the day.
Music Dynamic Animations, Thuy-Vy Do
Music Dynamic Animations, Thuy-Vy Do
Computer Engineering
Audio visualization gives a graphical representation to beats, intensity, and the fluctuating sounds heard in music. Music dynamic animation, deriving from this concept of audio visualizers, implements a hard coded range styled beat detection. This algorithm prioritizes graphical representations of classical and instrumental music. These graphical representations are intended to provide a sense of imagery.
Density Based Data Clustering, Rayan Albarakati
Density Based Data Clustering, Rayan Albarakati
Electronic Theses, Projects, and Dissertations
Data clustering is a data analysis technique that groups data based on a measure of similarity. When data is well clustered the similarities between the objects in the same group are high, while the similarities between objects in different groups are low. The data clustering technique is widely applied in a variety of areas such as bioinformatics, image segmentation and market research.
This project conducted an in-depth study on data clustering with focus on density-based clustering methods. The latest density-based (CFSFDP) algorithm is based on the idea that cluster centers are characterized by a higher density than their neighbors and …
Impact Of Detector-Element Active-Area Shape And Fill Factor On Image Sampling, Restoration, And Super-Resolution, Russell C. Hardie, Douglas R. Droege, Alexander J. Dapore, Mark E. Greiner
Impact Of Detector-Element Active-Area Shape And Fill Factor On Image Sampling, Restoration, And Super-Resolution, Russell C. Hardie, Douglas R. Droege, Alexander J. Dapore, Mark E. Greiner
Electrical and Computer Engineering Faculty Publications
In many undersampled imaging systems, spatial integration from the individual detector elements is the dominant component of the system point spread function (PSF). Conventional focal plane arrays (FPAs) utilize square detector elements with a nearly 100% fill factor, where fill factor is defined as the fraction of the detector element area that is active in light detection. A large fill factor is generally considered to be desirable because more photons are collected for a given pitch, and this leads to a higher signal-to-noise-ratio (SNR). However, the large active area works against super-resolution (SR) image restoration by acting as an additional …
Application Of Random Indexing To Multi Label Classification Problems: A Case Study With Mesh Term Assignment And Diagnosis Code Extraction, Yuan Lu
Theses and Dissertations--Computer Science
Many manual biomedical annotation tasks can be categorized as instances of the typical multi-label classification problem where several categories or labels from a fixed set need to assigned to an input instance. MeSH term assignment to biomedical articles and diagnosis code extraction from medical records are two such tasks. To address this problem automatically, in this thesis, we present a way to utilize latent associations between labels based on output label sets. We used random indexing as a method to determine latent associations and use the associations as a novel feature in a learning-to-rank algorithm that reranks candidate labels selected …
Approximation Of Nested Fixpoints, Alexander Kurz
Approximation Of Nested Fixpoints, Alexander Kurz
Engineering Faculty Articles and Research
The question addressed in this paper is how to correctly approximate infinite data given by systems of simultaneous corecursive definitions. We devise a categorical framework for reasoning about regular datatypes, that is, datatypes closed under products, coproducts and fixpoints. We argue that the right methodology is on one hand coalgebraic (to deal with possible nontermination and infinite data) and on the other hand 2-categorical (to deal with parameters in a disciplined manner). We prove a coalgebraic version of Bekic lemma that allows us to reduce simultaneous fixpoints to a single fix point. Thus a possibly infinite object of interest is …
Presenting Distributive Laws, Marcello M. Bonsangue, Helle H. Hansen, Alexander Kurz, Jurriaan Rot
Presenting Distributive Laws, Marcello M. Bonsangue, Helle H. Hansen, Alexander Kurz, Jurriaan Rot
Engineering Faculty Articles and Research
Distributive laws of a monad T over a functor F are categorical tools for specifying algebra-coalgebra interaction. They proved to be important for solving systems of corecursive equations, for the specification of well-behaved structural operational semantics and, more recently, also for enhancements of the bisimulation proof method. If T is a free monad, then such distributive laws correspond to simple natural transformations. However, when T is not free it can be rather difficult to prove the defining axioms of a distributive law. In this paper we describe how to obtain a distributive law for a monad with an equational presentation …
Hybrid Single And Dual Pattern Structured Light Illumination, Minghao Wang
Hybrid Single And Dual Pattern Structured Light Illumination, Minghao Wang
Theses and Dissertations--Electrical and Computer Engineering
Structured Light Illumination is a widely used 3D shape measurement technique in non-contact surface scanning. Multi-pattern based Structured Light Illumination methods reconstruct 3-D surface with high accuracy, but are sensitive to object motion during the pattern projection and the speed of scanning process is relatively long. To reduce this sensitivity, single pattern techniques are developed to achieve a high speed scanning process, such as Composite Pattern (CP) and Modified Composite Pattern (MCP) technique. However, most of single patter techniques have a significant banding artifact and sacrifice the accuracy. We focus on developing SLI techniques can achieve both high speed, high …
Multilevel Ant Colony Optimization To Solve Constrained Forest Transportation Planning Problems, Pengpeng Lin
Multilevel Ant Colony Optimization To Solve Constrained Forest Transportation Planning Problems, Pengpeng Lin
Theses and Dissertations--Computer Science
In this dissertation, we focus on solving forest transportation planning related problems, including constraints that consider negative environmental impacts and multi-objective optimizations that provide forest managers and road planers alternatives for making informed decisions. Along this line of study, several multilevel techniques and mataheuristic algorithms have been developed and investigated. The forest transportation planning problem is a fixed-charge problem and known to be NP-hard. The general idea of utilizing multilevel approach is to solve the original problem of which the computational cost maybe prohibitive by using a set of increasingly smaller problems of which the computational cost is cheaper.
The …
Coalgebraic Semantics Of Reflexive Economics (Dagstuhl Seminar 15042), Samson Abramsky, Alexander Kurz, Pierre Lescanne, Viktor Winschel
Coalgebraic Semantics Of Reflexive Economics (Dagstuhl Seminar 15042), Samson Abramsky, Alexander Kurz, Pierre Lescanne, Viktor Winschel
Engineering Faculty Articles and Research
This report documents the program and the outcomes of Dagstuhl Seminar 15042 “Coalgebraic Semantics of Reflexive Economics”.
Sheep Updates 2015 - Ravensthorpe, Bruce Mullan, Kate Pritchett, Kimbal Curtis, Chris Wilcox, Mike Hyder, Leigh Sonnerman, Lynne Bradshaw, Geoff Lindon, Katherine Davies, Joe Young, Stephen Lee, Ian Robertson, Lucy Anderton, Hayley Norman, Ed Barrett-Lenard, Jackie Jarvis, Ben Patrick
Sheep Updates 2015 - Ravensthorpe, Bruce Mullan, Kate Pritchett, Kimbal Curtis, Chris Wilcox, Mike Hyder, Leigh Sonnerman, Lynne Bradshaw, Geoff Lindon, Katherine Davies, Joe Young, Stephen Lee, Ian Robertson, Lucy Anderton, Hayley Norman, Ed Barrett-Lenard, Jackie Jarvis, Ben Patrick
Sheep Updates
This session covers fourteen papers from different authors:
1. The Sheep Industry Business Innovation project, Bruce Mullan, Sheep Industry Development Director, Department of Agriculture and Food, Western Australia
2. Western Australian sheep stocktake, Kate Pritchett and Kimbal Curtis, Research Officers, Department of Agriculture and Food, Western Australia
3. Wool demand and supply - short term volatility, long term opportunities, Chris Wilcox, Principal of Poimena Analysis
4. Lifetime management for maternal ewes, Mike Hyder, Research Officer, Department of Agriculture and Food, Western Australia
5. National Livestock Identification System (NLIS) for sheep and goats - what is the NLIS database? Leigh Sonnermann, …
Unknown Exception Handling Tool Using Humans As Agents, Mwaka Mahanga
Unknown Exception Handling Tool Using Humans As Agents, Mwaka Mahanga
UNF Graduate Theses and Dissertations
In a typical workflow process, exceptions are the norm. Exceptions are defined as deviations from the normal sequence of activities and events. Exceptions can be divided into two broad categories: known exceptions (i.e., expected and predefined deviations) and unknown exceptions (i.e., unexpected and undefined deviations). Business Process Execution Language (BPEL) has become the de facto standard for executing business workflows with the use of web services. BPEL includes exception handling methods that are sufficient for known exception scenarios. Depending on the exception and the specifics of the exception handling tools, processes may either halt or move to completion. Instances of …
Comparing The Efficiency Of Heterogeneous And Homogeneous Data Center Workloads, Brandon Kimmons
Comparing The Efficiency Of Heterogeneous And Homogeneous Data Center Workloads, Brandon Kimmons
College of Graduate Studies: Theses & Dissertations
Abstract
Information Technology, as an industry, is growing very quickly to keep pace with increased data storage and computing needs. Data growth, if not planned or managed correctly, can have larger efficiency implications on your data center as a whole. The long term reduction in efficiency will increase costs over time and increase operational overhead. Similarly, increases in processor efficiency have led to increased system density in data centers. This can increase cost and operational overhead in your data center infrastructure.
This paper proposes the idea that balanced data center workloads are more efficient in comparison to similar levels of …
Positive Fragments Of Coalgebraic Logics, Adriana Balan, Alexander Kurz, Jirí Velebil
Positive Fragments Of Coalgebraic Logics, Adriana Balan, Alexander Kurz, Jirí Velebil
Engineering Faculty Articles and Research
Positive modal logic was introduced in an influential 1995 paper of Dunn as the positive fragment of standard modal logic. His completeness result consists of an axiomatization that derives all modal formulas that are valid on all Kripke frames and are built only from atomic propositions, conjunction, disjunction, box and diamond. In this paper, we provide a coalgebraic analysis of this theorem, which not only gives a conceptual proof based on duality theory, but also generalizes Dunn's result from Kripke frames to coalgebras for weak-pullback preserving functors. To facilitate this analysis we prove a number of category theoretic results on …
Extensions Of Functors From Set To V-Cat, Adriana Balan, Alexander Kurz, Jirí Velebil
Extensions Of Functors From Set To V-Cat, Adriana Balan, Alexander Kurz, Jirí Velebil
Engineering Faculty Articles and Research
We show that for a commutative quantale V every functor Set --> V-cat has an enriched left- Kan extension. As a consequence, coalgebras over Set are subsumed by coalgebras over V-cat. Moreover, one can build functors on V-cat by equipping Set-functors with a metric.
Automated Beverage Dispenser, Sonya Istocka
Automated Beverage Dispenser, Sonya Istocka
Williams Honors College, Honors Research Projects
The intention of this project is to define a new way of distributing liquor. The project will consist of a device which will measure and track liquor being poured and associate it with a person, either a bartender or a bar patron. The challenges will be controlling the flow of liquor and recording it in an extremely accurate manner as well as processing data quickly so that a pour can be initiated very soon after a person is identified. The liquor dispenser will open up the possibility of a person being able to dispense their own liquor in a controlled …
Mobile Apps In Collection Development: Supporting A Mobile Learning Environment, Stefanie Havelka, Rebecca Arzola
Mobile Apps In Collection Development: Supporting A Mobile Learning Environment, Stefanie Havelka, Rebecca Arzola
Publications and Research
We will discuss our rationale and thoughts on why we believe mobile apps should be part of a library’s collection development policy. An updated policy with apps encourages a mobile learning environment that is technologically diverse while being holistically supportive of its users and research.
Hadoop Based Data Intensive Computation On Iaas Cloud Platforms, Sruthi Vijayakumar
Hadoop Based Data Intensive Computation On Iaas Cloud Platforms, Sruthi Vijayakumar
UNF Graduate Theses and Dissertations
Cloud computing is a relatively new form of computing which uses virtualized resources. It is dynamically scalable and is often provided as pay for use service over the Internet or Intranet or both. With increasing demand for data storage in the cloud, the study of data-intensive applications is becoming a primary focus. Data intensive applications are those which involve high CPU usage, processing large volumes of data typically in size of hundreds of gigabytes, terabytes or petabytes. The research in this thesis is focused on the Amazon’s Elastic Cloud Compute (EC2) and Amazon Elastic Map Reduce (EMR) using HiBench Hadoop …
An Empirical Performance Analysis Of Iaas Clouds With Cloudstone Web 2.0 Benchmarking Tool, Neha Soni
An Empirical Performance Analysis Of Iaas Clouds With Cloudstone Web 2.0 Benchmarking Tool, Neha Soni
UNF Graduate Theses and Dissertations
Web 2.0 applications have become ubiquitous over the past few years because they provide useful features such as a rich, responsive graphical user interface that supports interactive and dynamic content. Social networking websites, blogs, auctions, online banking, online shopping and video sharing websites are noteworthy examples of Web 2.0 applications. The market for public cloud service providers is growing rapidly, and cloud providers offer an ever-growing list of services. As a result, developers and researchers find it challenging when deciding which public cloud service to use for deploying, experimenting or testing Web 2.0 applications. This study compares the scalability and …