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Now showing items 21-40 of 42
Fast and adaptive H.264/AVC video coding for network based applications
(University of Missouri--Columbia, 2009)
As the state of the art video coding standard, H.264/AVC achieves significant coding performance gain comparing to its predecessors. Nevertheless, the advance comes at huge complexity increase of the encoder, which may ...
Statistical inference in wireless sensor and mobile networks
(University of Missouri--Columbia, 2010)
In recent years, wireless sensor networks have emerged as a cost effective alternative to traditional wired sensor systems. In the meantime, mobile networks have also gained many momentums. The two emerging networks share ...
Transcoding transport stream mpeg2
(University of Missouri--Columbia, 2007)
Video conferencing provides students with the opportunity to remotely attend classes and participate in a 2-way communication with the teacher. Nuclear Science and Engineering Institute at the University of Missouri - ...
Domain-concept mining : an efficient on-demand data mining approach
(University of Missouri--Columbia, 2008)
Traditional brute-force association mining approaches, when applied to large datasets, are thorough but inefficient due to computational complexity. A low global minimum probability threshold can worsen this complexity by ...
Experimental study of localization in sensor networks and design of adaptive localization algorithms
(University of Missouri--Columbia, 2005)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] We design an experimental framework to evaluate localization methods for sensor networks. We use this framework to evaluate three existing localization ...
Estimation and tracking of elder activity levels for health event prediction
(University of Missouri--Columbia, 2009)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Significant declines in quality of life for elders in assisted living communities are typically triggered by health events. Given the necessary ...
Deepnet : an extensible data acquisition and curation framework supporting computer vision deep learning research
(University of Missouri--Columbia, 2018)
We present a system, DeepNet, for ingestion, curation, and management of geospatial data images to facilitate a range of geospatial research. The system allows for the semi-autonomous ingestion of geospatial data from a ...
Genome scale meta analysis of microarrays for biological inferences
(University of Missouri--Columbia, 2009)
In this present era of high-throughput technologies, meta-analysis is being widely used to integrate multiple similar high throughput studies. Here we propose a novel framework for applying meta-analysis techniques on ...
AMD, analysis of mood dysregulation : a machine learning approach
(University of Missouri--Columbia, 2016)
There is a popular saying, "Stress kills." This statement can be true with repeated exposures to psychological mood dysregulation, which can lead to or worsen stress related conditions such as heart disease and cancer. ...
Knowledge-driven multidimensional indexing for content-based information retrieval
(University of Missouri--Columbia, 2008)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Media data are being generated at rates unimaginable only years ago. We face challenges in providing efficient and accurate access to media content, ...
DiffServ overlay multicast for videoconferencing
(University of Missouri--Columbia, 2005)
In this dissertation a framework for implementing videoconference in a DiffServ network (DiffServ Overlay Multicast) is proposed. DiffServ Overlay Multicast uses an overlay multicast algorithm for calculating the multicast ...
KOLAM : human computer interfaces fro visual analytics in big data imagery
(University of Missouri--Columbia, 2018)
In the present day, we are faced with a deluge of disparate and dynamic information from multiple heterogeneous sources. Among these are the big data imagery datasets that are rapidly being generated via mature acquisition ...
Building hybrid multicast by combining IP and application layers
(University of Missouri--Columbia, 2007)
This work presents new multicasting algorithm called Hybrid Multicast (HM). HM is a software solution that implements the integration between ALM and IP Multicast. The proposed solution always tries to use IP Multicast ...
Efficient protein tertiary structure retrievals and classifications using content based comparison algorithms
(University of Missouri--Columbia, 2007)
Functionally important sites of proteins are potentially conserved to specific three-dimensional structural folds. To understand the structure-to-function relationship, life sciences researchers and biologists have a great ...
Image matching and image super-resolution via deep learning
(University of Missouri--Columbia, 2018)
The advancement of 3D depth sensors, such as LIDAR (Light Detection And Ranging) scanners, has provided an effective alternative to traditional CAD-based and image-based approaches for 3D modeling. The output of the 3D ...
Significance linked connected component analysis plus
(University of Missouri--Columbia, 2018)
An image coding algorithm, SLCCA Plus, is introduced in this dissertation. SLCCA Plus is a wavelet-based subband coding method. In wavelet-based subband coding, the input images will go through a wavelet transform and be ...
Sylview: a visualization system for forest management
(University of Missouri--Columbia, 2006)
In the field of forestry, the output of forest growth models provide a wealth of detailed information that can often be difficult to analyze and perceive due to presentation either as plain text summary tables or static ...
Content extraction, analysis, and retrieval for plant visual traits studies
(University of Missouri--Columbia, 2008)
In recent years, automatic content extraction, analysis and retrieval for plant visual trait studies play a more important role than ever before, because traditional manual processing suffers two major issues: excessive ...
PRIMEGENSv2 : a service based platform using object oriented model view controller design pattern
(University of Missouri--Columbia, 2009)
There are a number of tools and software packages dealing with the problem of efficient primer and probe design. In an era of fast paced research it is rather difficult for any researcher to change their favorite tool. So ...
Statistical optimization of acoustic models for large vocabulary speech recognition
(University of Missouri--Columbia, 2006)
This dissertation investigates optimization of acoustic models in speech recognition. Two new optimization methods are proposed for phonetic decision tree (PDT) search and Hidden Markov modeling (HMM)-- the knowledge-based ...