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Modeling of the acoustic signal of an electric guitar amplifier using recurrent neural networks
(University of Missouri--Columbia, 2021)
Neural networks have topped performance measures across a wide variety of computational tasks. These performances are prevalent within the domain of human perception type tasks such as classification or generation of images, audio, or text...
Data-driven 3D shape modeling
(University of Missouri--Columbia, 2010)
3D shape modeling is essential for computer to understand our real world. So far, 3D shaping modeling is still an open issue. There are too much raw data around, but there is no uniform or standard way to translate them for computers. My work...
Next-generation DevOps for network and compute-intensive applications
(University of Missouri--Columbia, 2023)
-generation applications demand more scale and distributed management of computing/networking resources, traditional DevOps practices must be enhanced with advanced tools/methods involving emerging technologies. This thesis proposes a novel approach to a next...
Dynamically-scalable distributed cluster and cloud computing framework for IoT media data
(University of Missouri--Columbia, 2018)
the challenges is that this data is very heterogeneous, including device or human activity trace data, structured data, sensor information, and media data. The computing needs for the IoT continue to rise in terms of scalable compute power, storage, and complex...
Trusted resource allocation in volunteer edge-cloud computing for scientific applications
(University of Missouri--Columbia, 2022)
these workflows often require deployment and dynamic scaling of multi-cloud resources in an efficient and high-performance manner (e.g., quick setup, reduced computation time, and increased application throughput). At the same time, users seek to minimize...
A compact representation for 3D animation using octrees and affine transformation
(University of Missouri--Columbia, 2009)
of points), where the correspondence is unknown. We applied Iterative Closest Points (ICP) algorithm for computing a pseudo correspondence, combined with an Octree structure to deal with the non-rigidity that ICP can not capture. About the motion vectors, we...
Custom templates based heterogeneous resource allocation for data-intensive applications
(University of Missouri--Columbia, 2020)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI-COLUMBIA AT REQUEST OF AUTHOR.] The increase of data-intensive applications in science and engineering fields (i.e., bioinformatics, cybermanufacturing) demand the use of high-performance computing...
Multi-stage cloud framework based on agents for dynamic, scalable, and secure distributed computing
(University of Missouri--Columbia, 2020)
sources of data and the litany of potential analytical use-cases. Herein lies another challenge, namely accommodating the ever-increasing need for flexible and scalable computing capacity that can operate within or across different computing localities...
Architecting the spatial enablement of a film location database for enhanced geographic analysis and query
(University of Missouri--Columbia, 2009)
with addresses being an example. This web-based film location search engine provides a system that allows users to perform geospatial queries against the data sets, and represent them visually in a format that is easily understood and recognizable. Over the past...
Real-time speaker-independent large vocabulary continuous speech recoginition
(University of Missouri--Columbia, 2005)
In this dissertation, a real-time decoding engine for speaker-independent large vocabulary continuous speech recognition (LVCSR) is presented. Three indispensable and correlated performance measurements -- accuracy, speed, and memory cost...
Fuzzy-based conversational recommender for data-intensive science gateway applications
(University of Missouri--Columbia, 2018)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Neuro-scientists are increasingly relying on parallel and distributed computing resources for analysis and visualization of their neuron simulations. Although science gateways...
Fuzzy-based conversational recommender for data-intensive science gateway applications
(University of Missouri--Columbia, 2018)
Neuro-scientists are increasingly relying on parallel and distributed computing resources for analysis and visualization of their neuron simulations. Although science gateways (SG) have democratized relevant high performance/throughput resources...
Reliable service chain orchestration for scalable data-intensive computing at infrastructure edges
(University of Missouri--Columbia, 2019)
'collection' from Internet-of-Things (IoT) and their seamless 'computation/consumption' within a geo-distributed (edge/core) cloud infrastructure in order to cater to user Quality of Experience (QoE) expectations. Thus, the edge computing needs to be designed...
Bioinformatics methods for protein identification using peptide mass fingerprinting data
(University of Missouri--Columbia, 2009)
development: we implemented our computational methods in an open source package "ProteinDecision" which is freely available upon request. ....
Multi-dimensional scaling and MODELLER based evolutionary algorithms for protein model refinement
(University of Missouri--Columbia, 2013)
To computationally obtain an accurate prediction of the three-dimensional structure of a protein from its primary sequence is one of the most important problems in bioinformatics and has been actively researched for many years. Although a number...
Development of web services in academic environment
(University of Missouri--Columbia, 2019)
and manage projects. The methodology we chose should be efficient and effective within certain development environments. This thesis provides practical experience on web service development in an academic environment using the College of Engineering (COE...
Application of deep reinforcement learning for battery design
(University of Missouri--Columbia, 2020)
of material design and the magnitude of experimental and computational work, the discovery of materials with conventional methods usually takes very long development cycles (10-20 years) with enormous labor and costs. To address this challenge, we proposed a...
Ensemble methods in large vocabulary continuous speech recognition
(University of Missouri--Columbia, 2008)
Combining a group of classifiers and therefore improving the overall classification performance is a young and promising direction in Large Vocabulary Continuous Speech Recognition (LVCSR). Previous works on acoustic ...
A system for large-scale image and video retrieval on everyday scenes
(University of Missouri--Columbia, 2022)
it into the corresponding tree structure. Then an optimized tree-pattern query is constructed and executed on the database to retrieve a set of candidate images. The candidate images fetched are ranked using the tree-edit distance metric computed on the tree structures...
Intelligent orchestration of computation and networking for drone swarm applications
(University of Missouri--Columbia, 2023)
to edge computation and networking resources to provide environmental situational awareness in the applications. Orchestration of the computation and networking resources in practice are performed in isolation, and do not sufficiently account for factors...