Browsing Theses and Dissertations (MU) by Thesis Department "Computer engineering (MU)"
Now showing items 21-40 of 58
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Dynamic construction of trie-based automata for approximate K-mer matching on heterogeneous CPU-GPU systems
(University of Missouri--Columbia, 2016)In recent decades, mapping of a variety of species' genomes has taken place. With the proliferation of advanced and specialized hardware architectures such as GPUs, the process has been greatly accelerated. GPUs may ... -
An evolutionary framework for matching geospatial object configurations
(University of Missouri--Columbia, 2012)This thesis presents a framework for modeling and comparing the spatial configuration of sets containing two-dimensional geospatial objects. This situation can arise in the conflation of a hand or machine drafted map to a ... -
Experimental study of random projections below the JL limit
(University of Missouri--Columbia, 2015)Random projection is a method used to reduce dimensionality of desired objects with pair-wise distances preserved at a relatively high probability. The mathematical theory behind this is called the Johnson-Lindenstrauss ... -
Fall detection system using low cost computing and online communication
(University of Missouri--Columbia, 2012)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Falls are prevalent among elderly and sometime may result in fatal injuries, which impacts their ability of independent living. Thus, a reliable as ... -
The family of sequential possibilistic one-mean clustering algorithms
(University of Missouri--Columbia, 2018)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] The possibilistic c-means (PCM) was developed as an extension of the fuzzy c-means (FCM) clustering algorithm by abandoning the membership sum-to-one ... -
A fast and accurate robotic grasp method using deep learning
(University of Missouri--Columbia, 2016)I have developed a system that is capable of quick and accurate detection of target objects using the deep learning method. Adding orientation with depth sensing then allows a robot to grasp the objects. The existing ... -
Fractal Analysis of Seafloor Textures for Target Detection in Synthetic Aperture Sonar Imagery
(University of Missouri--Columbia, 2018)Fractal analysis of an image is a mathematical approach to generate surface related features from an image or image tile that can be applied to image segmentation and to object recognition. In undersea target countermeasures, ... -
Frequency-minimal utility-maximizing cloud resources allocation for moving target defense
(University of Missouri--Columbia, 2016)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] With the increase of cyber-attacks such as DDoS, intelligent resource-allocation based migration schemes are being devised as counter-strategies to ... -
GUI for debugging and development of reconfigurable, evolving systems enabled by embedded hardware blocks
(University of Missouri--Columbia, 2010)A flexible hardware testbed for Evolutionary Computation is developed in our research. The purpose is to realize a system with an ability to implement a wide variety of Evolutionary Computation applications. In this ... -
Human-assisted self-supervised labeling of large data sets
(University of Missouri--Columbia, 2022)There is a severe demand for, and shortage of, large accurately labeled datasets to train supervised computational intelligence (CI) algorithms in domains like unmanned aerial systems (UAS) and autonomous vehicles. This ... -
Improved data processing for personnel activity detection system
(University of Missouri--Columbia, 2016)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Our laboratory has implemented a personnel detection system, Smart Carpet, which can detect the walking activities. The existing system uses a SheevaPlug ... -
Improved geo-referencing and prescreening for detection of buried explosive hazards in forward-looking infrared imagery
(University of Missouri--Columbia, 2014) -
Indoor human activites recognition using audio signals based on support vector machines and convolutional neural networks
(University of Missouri--Columbia, 2018)Indoor human activities recognition can be of great importance in our daily life, especially for surveillance and security purposes, such as informing elderly people affected in hearing capabilities about environmental ... -
Investigation of the relative amplitude method in detecting early illness
(University of Missouri--Columbia, 2013)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] In this study, we examine the relative amplitude - a circadian rhythm measure, as a potential feature for early illness detection. We used data collected ... -
Map-guided hyperspectral image superpixel segmentation using semi-supervised partial membership latent Dirichlet allocation
(University of Missouri--Columbia, 2016)Many superpixel segmentation algorithms which are suitable for the regular color images like images with three channels: red, green and blue (RGB images) have been developed in the literature. However, because of the high ... -
Multi-camera high-throughput plant root phenotyping system
(University of Missouri--Columbia, 2016)Plant root phenotyping is a key component in plant breeding and selection for desireable root properties. Preferable root traits can not only help a plant to grow faster but also allow for more dense and deep root system ... -
A novel method of face verification based on EM algorithm
(University of Missouri--Columbia, 2014)In this paper, we implement a novel joint Bayesian method based on the classical Bayesian face recognition method by Baback Moghaddam et al and a creative paper "Bayesian Face Revisited: A Joint Formulation". One face is ... -
Object detection and classification using shape feature
(University of Missouri--Columbia, 2014)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] We develop a set of methods to represent and detect shapes in images. We first develop new shape descriptors that are robust to deformation while being ... -
Pattern recognition through source signal separation /
(University of Missouri--Columbia, 2016)In typical problems involving pattern recognition, the challenge lies in selecting a good set of features and in devising a reliable algorithm to identify the class of learned patterns that most resembles the observed ... -
PCI bus connects MizzouRISC to PC
(University of Missouri--Columbia, 2011)This paper covers the design of a PCI transmission controller to make a 32-bit microprocessor MizzouRISC be a co-processor for a PC. The co-processor communicates with the PC through the PCI bus, and works as a target ...