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Image Segmentation Using Fuzzy-Spatial Taxon Cut, Lauren Barghout 2015 U.C. Berkeley

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 2015 University of New Orleans

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 2015 Purdue University

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 2015 University of Southern Mississippi

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 2015 East Tennessee State University

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 2015 University of Nebraska-Lincoln

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 2015 Boise State University

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 2015 Portland State University

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 2015 Computer Information Technology

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 2015 University of Akron Main Campus

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 2015 California Polytechnic State University - San Luis Obispo

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 2015 California Polytechnic State University - San Luis Obispo

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 2015 California State University - San Bernardino

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 2015 University of Dayton

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 2015 University of Kentucky

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 2015 Chapman University

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 2015 Leiden University

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 2015 University of Kentucky

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 2015 University of Kentucky

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 2015 University of Oxford

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”.


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