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Synthesis and characterization of nanostructures and their applications : from supercapacitors to fluorescent labels to proteins
(University of Missouri--Columbia, 2010)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Nanomaterials have gained importance in virtually all fields from industrial applications to pure science research since these were developed. However, ...
Clustering in relational data and ontologies
(University of Missouri--Columbia, 2010)
This dissertation studies the problem of clustering objects represented by relational data. This is a pertinent problem as many real-world data sets can only be represented by relational data for which object-based clustering ...
Tracing of internal layers in radar echograms from a Greenland study region
(University of Missouri--Columbia, 2006)
Signs of long-term glaciological processes and past ice sheet structure are preserved in the internal layer signatures of the Greenland ice sheet. Internal layer data have been collected over a considerable portion of the ...
The spatial cross-correlation coefficient as an ultrasonic detection statistic
(University of Missouri--Columbia, 2007)
In ultrasonics, image formation and detection are most commonly based on signal amplitude. Matched filtering is an amplitude independent approach, but requires accurate template estimation. In this work, we introduce the ...
Human behavior understanding and intention prediction
(University of Missouri--Columbia, 2020)
Human motion, behaviors, and intention are governed by human perception, reasoning, common-sense rules, social conventions, and interactions with others and the surrounding environment. Humans can effectively predict ...
Opto-electronic class AB microwave power amplifier using photoconductive switch technology
(University of Missouri--Columbia, 2006)
Next generation land-based, mobile, phased-array radar systems for battlefield applications must meet constraints on volume, weight, power consumption, and data processing capability that are currently not available. The ...
Investigation of the accuracy of Grover's method when solving for the mutual inductance of two single-layer coaxial coils
(University of Missouri--Columbia, 2005)
In 1933 Grover introduced a convenient method of calculating the mutual inductance between two single-layer coaxial coils that is still widely accepted as the standard today. He produced tables of numeric values from Clem's ...
Target detection with morphological shared-weight neural network : different update approaches
(University of Missouri--Columbia, 2018)
Neural networks are widely used for image processing. Of these, the convolutional neural network (CNN) is one of the most popular. However, the CNN needs a large amount of training data to improve its accuracy. If training ...
Explainable pattern modelling and summarization in sensor equipped smart homes of elderly
(University of Missouri--Columbia, 2020)
In the next several decades, the proportion of the elderly population is expected to increase significantly. This has led to various efforts to help live them independently for longer periods of time. Smart homes equipped ...
Control system design of tape winding machine
(University of Missouri--Columbia, 2018)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Tape winding creates a composite structure by the reinforcement of material, and it has been commonly used in industry. However, the operation of a ...
Analog to digital converter for UWB short range indoor radar system
(University of Missouri--Columbia, 2010)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] In this project the analog-to-digital converter is designed for an ultra-wideband short-range radar (UWBSRR) health-event monitoring system. The input ...
Explainable data fusion
(University of Missouri--Columbia, 2021)
The recent resurgence of Artificial Intelligence (AI), specifically in the context of applications like healthcare, security and defense, IoT, and other areas that have a big impact on human life, has led to a demand for ...
Sleep stage classification using hydraulic bed sensor
(University of Missouri--Columbia, 2018)
Sleep monitoring can help physicians diagnose and treat sleep disorders. Polysomnography(PSG) system is the most accurate and comprehensive method widely used in sleep labs to monitor sleep. However, it is expensive and ...
Vehicle license plate detection and recognition
(University of Missouri--Columbia, 2013)
In this work, we develop a license plate detection method using a SVM (Support Vector Machine) classifier with HOG (Histogram of Oriented Gradients) features. The system performs window searching at different scales and ...
Wearable lip-based electrotactile display : feasibility study, modeling, and system design
(University of Missouri--Columbia, 2007)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] For assisting visually impaired to effectively perceive critical spatial information through the sense of touch, we proposed a wearable lip-based ...
Deep learning based solutions to biomedical image analysis problems of the upper aerodigestive tract
(University of Missouri--Columbia, 2020)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI--COLUMBIA AT REQUEST OF AUTHOR.] Clinical and scientific studies produce an abundance of image and video data. Clinical practice often relies on subjective, qualitative ...
Characterization of thermally activated solid electrolyte lithium anode primary reserve batteries
(University of Missouri--Columbia, 2010)
The purpose of this research was to perform an initial characterization of the capabilities of thermal batteries. Thermal batteries have a very high theoretical specific energy. If they also have a suitably high specific ...
Multicriteria pathfinding in uncertain simulated environments
(University of Missouri--Columbia, 2018)
Multicriteria decision-making problems arise in all aspects of daily life and form the basis upon which high-level models of thought and behavior are built. These problems present various alternatives to a decision-maker, ...
Comparative study of brain waves classification using fast fourier transform and feed forward neural network
(University of Missouri--Columbia, 2018)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Brain is one of the complex network known. There are several techniques available to acquire signals originating inside brain. If we can classify those ...
Personalized functional health and fall risk prediction using electronic health records and in-home sensor data
(University of Missouri--Columbia, 2021)
Research has shown the importance of Electronic Health Records (EHR) and in-home sensor data for continuous health tracking and health risk predictions. With the increased computational capabilities and advances in machine ...