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.
Results
Showing 1 to 20 of 23 for “"data density"”.
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Effects of Aerial LiDAR Data Density on the Accuracy of Building Reconstruction
… identified a positive relationship between the density of aerial LiDAR input for building reconstruction and the accuracy of the resulting reconstructed models. We hypothesize a point of diminished returns at which higher data density no longer contributes meaningfully to higher accuracy in the …
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Full-Surface Data Storage
… bit error rate (BER) performance under varying data density and noise levels. A multitrack Viterbi algorithm (MVA) performs well; however, the computational complexity limits the achievable data density. Equalization methods are introduced to increase achievable density. Iterative techniques …
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Using K-means Clustering and Similarity Measure to Deal with Missing Rating in Collaborative Filtering Recommendation Systems
… Filtering approach has its limitation of data sparsity and online scalability problems which result in low recommendation quality. In this thesis, a novel Collaborative Filtering approach is introduced using clustering and similarity technologies. The proposed method using K-means …
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Design of High-density Transformers for High-frequency High-power Converters
… the blossom of IC industries, so increasing the data density is clearly the ultimate goal of all technological development. If the power density of power electronics converters can be analogized to the data density of IC's, then power density is a critical indicator and inherent driving force to …
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Understanding longitudinal ADCP measurements to determine water velocities for open channel flow
… a more spatially diverse approach to data collection. The author explores the hypothesis that longitudinal measurements can predict velocities for a river reach scale more effectively than collecting stationary measurements or measurements along transects. More precise velocity mapping …
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Constraints on mantle convection from seismic tomography and flow modeling
… to constrain mantle convection. The bulk of the data used in the tomographic imaging are millions of P, pP and pwP travel time residuals, read from high frequency seismic records. The distribution of earthquakes and stations results in uneven data coverage and to improve the model I use core …
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Analysis of Japanese land prices using prefectural data
… in the Bubble Period using prefectural data. This paper provides a Land Price Table which makes possible an understanding of real movements from 1970 through 1999 in land prices in each prefecture and compares the differences among prefectures. The table indicates the two peaks where …
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Energetic electron dynamics in the outer Van Allen radiation belt during sheath regions driven by interplanetary coronal mass ejections
… hour due to the demanding level of the required data density. This thesis performs the first comprehensive and detailed statistical study on how turbulent sheath regions ahead of ICMEs affect plasma waves in the inner magnetosphere and outer radiation belt electrons. With high quality multi-point …
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Estimates of wasteful commuting in a sample of Canadian cities: a test of the monocentric model
… necessary to estimate employment and population density gradients for 23 Canadian cities using 1981 census data. Density gradients were estimated using a two-point estimation technique pioneered by Edwin Mills. The employment gradient estimates presented in Chapter 4 are the only existing …
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Neural techniques for modeling visually grounded speech
… representations for visual and audio data. In particular, I analyze and extend the model introduced by Harwath et al. (2016), a neural architecture which learns a non-linear similarity metric between images and audio captions using sampled margin rank loss. In Chapter 1, I provide a …
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Multi-sensor platforms for the geophysical evaluation of sensitive archaeological landscapes. Evaluation of and improvement of the MSP40 mobile sensor device for rapid multi-technique and low impact measurements on archaeological sites with vulnerable soil.
… development of mobile platforms has focused on data acquisition rates but has not considered the physical impact on the soil. The Geoscan Research Mobile Sensor Platform (MSP40) was intended to improve survey efficiency and remain a lightweight system. The platform can collect two earth …
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Radial-turbine mistuning
… the model suitability is tested against measured data. Density randomization is applied to model mistuning in the turbine wheels. Frequency mistuning and relative amplitude modelling for blade modes is found in good agreement with the data, however the mass-spring model over-predicts …
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Multivariate Analysis for Scanning (Transmission) Electron Diffraction
… aberration correction, signal collection, and data processing have all improved in recent years, leading to a move away from the acquisition single-variable images. Instead it is increasingly common, in the field of analytical S(T)EM, for whole energy spectra to be collected for post-facto …
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Design and Implementation of QCM Virtual Sensing Schemes for Analyses of Volatile Organic Compounds
… (V-MSAs). Such systems would exhibit greater data density than either the MSA or VSA, and are promising for samples that are particularly challenging to discriminate. Among the various systems utilized for VOC discrimination, sorption based systems hold considerable promise because they are …
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The Effects of Non-Magnetic and Magnetic Doping on the Skyrmion Hosting Material, Cu2OSeO3
… world, the need to store vast amounts of data is increasing at an incredible pace, and with the need forecasted to outgrow the maximum capacity of traditional Si-based electronics, alternative data storage devices are required. The field of spintronics is an emerging field for the next …
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Subsurface Digital Twin and Emergence
… practices, functional silos, limited data density, and technological constraints, impede business efficacy and sustainable development. As societies' expectations shift and industries evolve, a paradigm shift is required in the human-machine relationship and the way we organize work. …
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Evaluating the combined use of three-dimensional hydrodynamic modeling and polyethylene passive sampling in the Lower Duwamish Waterway
… Code [EFDC]), and availability of measured data. Density-driven circulation in the LDW drives saltwater upstream and freshwater downstream, influencing residence times, mixing times, and the resulting concentration distributions of potential sources. The dependence of simulated, unit …
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Forecasting groundwater contaminant plume development using statistical and machine learning methods
… equation. With the large groundwater quality datasets that have been collected for decades at legacy contaminated sites, there is an emerging potential to use data- driven machine learning algorithms to model contaminant plume development and improve site management. However, spatial and …
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Prozessorientierte Untersuchungen zur Schmierstoffsynthese basierend auf Ölsäuremethylester und Glycerintrioleat
… between 1 and 5% the method delivered a high data density at each point of reaction progress. As a lubricant specification and quality control typical oil-values as e. g. viscosity, neutralization-, saponification- and iodine numbers were determined. In lab scale different reaction setups …
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A high data capacity barcode for mobile phones
… describes the development and evaluation of a data storage colour 2D barcode known as the MMCC barcode. 1D barcodes are widely used to provide inexpensive and accurate data capture capability. However, due to their low data capacity, they can only function as indexes to back-end databases. The …
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