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 37 for “"data resolution"”.
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Effects of Stream Order and Data Resolution on Sinuosity Using GIS
… order 3 in Virginia were considered. Several GIS datasets from various sources, including the Virginia Base Mapping Program (VBMP) and United States Geological Survey (USGS), were used to generate stream networks using GIS. Sinuosity was computed using GIS based on a technique comparable to the …
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Machine Learning for Improvement of Ocean Data Resolution for Weather Forecasting and Climatological Research
… models have improved predictions, lack of high-resolution initial conditions still limits forecast accuracy. The Atlantic's "Hurricane Alley" region sees most storms arise, thus needing robust in-situ ocean data plus atmospheric profiles to enable precise hurricane tracking and intensity …
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Carbon isotope stratigraphy of the interglacial Umberatana Group, Adelaide, Fold Belt, South Australia / by Jamie M. Burgess.
… based on C-isotope geochemistry. High data resolution is desirable and correlation should take into account lithostratigraphy and sequence stratigraphy rather than soley relying on data trends or absolute [delta]13C values.
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Detecting Breaking Waves and Measuring Bore Speeds in Optical Surf Zone Imagery using Machine Learning
… detect breaking waves in optical remote sensing data collected under visually diverse conditions along a kilometer-scale beach in Duck, NC. Bore speeds are estimated from the breaking-wave detections and are compared with theoretical models using surveyed bathymetry. Bathymetry inversion from the …
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Data Reduction in Smart Grid
… electric grid has led to tremendous growth in data generated from the installed sensors. With this huge amount of data, the electric grid faces a big data problem. Therefore, it is necessary to implement a data reduction technique that would not only curtail the exponential data growth, but …
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From states to objects and events through stratification: A formal account and an application to data analytics
… perspective, states may be seen as "time stamped data" or "basic observations". Perception and cognition organize sensory outputs by grouping them in units that allow us to interact with the world in a quick and fruitful way. Similarly, states can be organized by synchronically grouping them into …
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Skin strain analysis software for the study of human skin deformation
… investigations have been labor intensive and the data resolution was extremely limited such that their results were largely qualitative. There is a need for a better system to collect, compute, and output strain measurements of the skin in vivo for the purpose of designing better mechanical …
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Use of the fractal dimension in characterization of terrestrial surfaces
… to area and volume. Changes in scale and grid data resolution were simulated by decreasing the grid sampling interval of the DEMs in a systematic manner. The three DEMs examined were of a homogeneous character and were sampled on a 3 arc second latitude and longitude grid interval. The DEMs …
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Short-term wind power forecasting using artificial neural networks-based ensemble model
… the availability of large amounts of historical data and strong computational power. Although ANNs usually perform well for short-term wind power forecasting, further improvement can be obtained by selecting suitable input features, model parameters, and using forecasting techniques like spatial …
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Development of a landslide hazard map for the island of Puerto Rico
… slope angle and land use. This study employed data for a total of 2,966 landslides. The elevation and land use analysis was conducted on the entire landslide dataset, while the slope aspect and slope angle analysis was conducted on a smaller subset (366 landslides). This work builds on previous …
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A Collaborative Web Application Framework for Least Cost Caloric Paths with Constraints on High Resolution Data
… and implementation for a web application spatial data visualization tool, built in conjunction with expert input from an anthropologist, that strives to serve as an interactive tool for analyzing human travel across terrain. In addition to using least cost caloric paths across high resolution …
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Modeling transcriptomic dynamics and epigenomic conservation
… underlying mechanism. With the improvement of data resolution and the appearance of single-cell time-course expression data, we further make our clustering model time-variant to better analyze these datasets in developmental process. The time-variant model has dynamic cluster structure in the …
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Computational Methods for Improved Interpretation of High-Density Diffuse Optical Tomography Data
… However, analysis methods applied to this data are not yet standardised, and often do not take advantage of the higher data resolution achievable with HD-DOT. Additionally, machine learning models, which are regularly applied to other neuroimaging modalities, have only been applied to …
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The value of accurate automated data collection to manufacturing
… of implementing a novel, accurate automated data collection system and to describe a practical method for doing so. This thesis addresses the value of accurate automated data collection to manufacturing, focusing on a combined passive power monitoring and auto RFID data collection system …
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An inverse approach to understanding benthic oxygen isotope records from the last deglaciation
… The solution reflects the resolving power of the data, which is highest at model surface locations associated with large rates of volume flux into the deep ocean. The limited data resolution is quantified and rationalized through analyses of simple models. The destruction of information contained …
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Using high-resolution topography for advancing the understanding of mass and energy transfer across landscapes
… and energy transfer across the landscape. High resolution topographic imagery derived from lidar scans, provides new opportunities in the observation and analysis of these processes, especially as the resolution of these data is proportionate to channel and hillslope process scales. Channel …
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THE INFLUENCE OF ENVIRONMENTAL VARIABLES ON PREDICTING RARE-PLANT HABITAT IN THE NEZ PERCE NATIONAL FOREST
… habitat. Additionally, how background extent, data resolution, sample size, and various ranking criteria effect environmental variable selection were considered. For this case study, Broad-fruit Mariposa (Calochortus nitidus Dougl.) a rare-plant species found within the 2.2 million acre Nez …
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THE INFLUENCE OF ENVIRONMENTAL VARIABLES ON PREDICTING RARE-PLANT HABITAT IN THE NEZ PERCE NATIONAL FOREST
… habitat. Additionally, how background extent, data resolution, sample size, and various ranking criteria effect environmental variable selection were considered. For this case study, Broad-fruit Mariposa (Calochortus nitidus Dougl.) a rare-plant species found within the 2.2 million acre Nez …
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An inverse approach to understanding benthic oxygen isotope records from the last deglaciation
… The solution reflects the resolving power of the data, which is highest at model surface locations associated with large rates of volume flux into the deep ocean. The limited data resolution is quantified and rationalized through analyses of simple models. The destruction of information contained …
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An Investigation into Contrail Observability from Different Satellite Platforms
… face trade-offs between spatial and temporal resolution. Many recent publications have relied on data from geostationary satellites accepting lower input data resolution in exchange for higher temporal resolution and greater spatial coverage. Limitations of the observability of contrails in …
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