Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 69 for “"Binning"”.
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Binning for efficient stochastic particle simulations
Restriction data tranferred 2014-07-01T11:11:50-05:00 Original Data Group with Access UIUC Users [automated] Release Date: 2015-02-03 13:18:53 UTC Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system
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Information theoretic limits of metagenomic binning
… shotgun sequencing. In the metagenomic binning problem, we observe random substrings (called contigs) from a mixture of genomes and want to cluster them according to their genome of origin. Based on the empirical observation that genomes of different bacterial species can be …
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Deep learning approach to metagenomic binning
… network (CNN) based approach to metagenomic binning that embeds reads into a low-dimensional vector space based on taxonomic classification. We show that our method can get the speed and sensitivity necessary taxonomic classification. Our method was able to achieve 13% accuracy on identifying …
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Compact binning for parallel processing of limited-range functions
… set is unstructured, which without the use of binning, would result in every output element in the output-driven approach reading all of the input elements to determine which ones fall within its cutoff. Binning is a preconditioning step that sorts the input elements into predetermined bins …
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Motion binning in cone-beam CT without a prior Model
… thesis is whether motion can be identified in a binning process without prior knowledge or models of the motion. Nomenclature describing motion classes and a specific type of artefact are introduced. The distinctiveness of this artefact class is demonstrated and methods to mitigate it are …
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Understanding pro-environmental binning behaviour of National Park visitors: A cross-cultural study
… of litter management in national parks is binning i.e. putting litter in a bin. As such, it is essential to identify what leads visitors to bin their litter. Binning is defined in this thesis as a type of private low-cost PEBs where a visitor puts his or her own litter in a bin if provided, …
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Differential power processing for increased solar array energy harvest
… analysis is performed on the effects of factory binning. Factory binning is assumed to be a static source of mismatch which will persist and worsen over the life of the array. Variations in panels are modeled using a bi-variate Gaussian distribution. A Monte Carlo simulation is used to quantify …
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Evaluation of clustering techniques for generating household energy consumption patterns in a developing country
… Different algorithms, normalisation and pre-binning techniques are evaluated to determine the best clustering structure. The study shows that normalisation is essential for producing good clusters. Specifically, unit norm produces more usable and more expressive clusters than the zero-one …
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Improving gene trees without more data
… signal. To tackle this problem the Statistical Binning and Weighted Statistical Binning pipelines were designed to improve gene tree estimation, which in turn can improve species tree estimation. Experimental studies of these pipelines revealed that they helped in improving gene tree and species …
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Assessment of the use of prompt gamma emission for proton therapy range verification
… with the depth dose profile. Arbitrary energy binning of 4-5 MeV and 4-8 MeV was performed on the Monte Carlo data; this binned data yielded a distinct emission peak 1cm proximal to the Bragg peak. In all cases in the Lucite phantom the position of the Bragg peak's 80% distal falloff …
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Using positron emission particle tracking (PEPT) to investigate the motion of granular media in a laboratory-scale tumbling mill
… locations fall into it- a process called simple binning. A major outcome of my work has been to develop an alternative probability density based on the cumulative time spent by the tracer particle in a given voxel. This method is called residence time binning, and the resultant probability …
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Detection- and Information -Theoretic Analysis of Steganography and Fingerprinting
… For both games, a randomized stacked-binning scheme and a matched maximum penalized mutual information decoder are used to achieve capacity and to realize a random-coding error exponent that is strictly positive at all rates below capacity.
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The evaluation and the application of array detectors for analytical luminescence spectroscopy.
… this research termed charge dependent variable binning (CDVB), simultaneous variable binning (SVB), and continuous high speed spectral framing (CHSF) are described and applied. The CDVB and SVB techniques allow very sensitive quantitation of spectrally resolved and unresolved signals with very …
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System characterisation of a full body slit scanning radiography machine : theory and experiment
… such as coupling efficiency, CCD noise and pixel binning was quantified. Also detector performance for varous thicknesses of Gd2O2S:Tb screens were analysed.
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On the use of utility billing information for predicting homelessness
… homelessness or, using a different prediction binning threshold, a maximum f-1 Score of 8% with a precision of 5% and a recall of 8%. Model evaluation varies depending on outcome binning threshold, which can be adjusted to suit different types of homelessness prediction programs. This …
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Metagenomic approaches for examining the diversity of large DNA viruses in the biosphere
… of metagenomic tools (contigs assembler and binning tool) in recovering viral genomes using annotated dataset. We used a metagenome simulator (CAMISIM) to generate simulated short reads with known composition to assess these processes. Moreover, I emphasized the importance of binning contigs …
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Practical methods for data mining with massive data sets
… pursuit will be explored. Mean-centered binning will be introduced as an improved method for binned density estimation. The density grand tour will be demonstrated as a means of exploring massive high-dimensional data sets. Projection pursuit by clustering components will be described as …
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Analysing and Enhancing the Coarse Registration Pipeline
… is unknown. Examining three schemes for binning normals found that equiangular binning, when appropriately normalised, only had a marginal decrease in accuracy with respect to the icosahedron and the introduced Fibonacci schemes. Overall, equiangular binning was the most appropriate due …
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GROK-FPGA: Generating Real on-Chip Knowledge for FPGA Fine-Grain Delays Using Timing Extraction
… Current techniques such as margining and grade binning are used to deal with this problem. However, they tend to be conservative, offering limited solutions that will not scale as variation increases. Conventional circuits use limited tests and statistical models to determine the margining and …
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