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 17 of 17 for “"spatial and temporal data"”.
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Mining periodicity and object relationship in spatial and temporal data
… of positioning technologies, sensor networks, and online social media, spatiotemporal data is now widely collected from smartphones carried by people, sensor tags attached to animals, GPS tracking systems on cars and airplanes, RFID tags on merchandise, and location-based services offered by …
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Spatial Data Analysis
… of five chapters with a focus on modeling spatial and temporal data. In chapter 1, we explained different terminology and principles that appear frequently in the analysis of spatial and temporal data. These concepts were explained in detail to form a basis and motivation for the research …
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Visualization of spatio-temporal data in two dimensional space
Spatio-temporal data is becoming very popular in the recent times, as there are large number of datasets that collect both location and temporal information in the real time. The main challenge is that extracting useful insights from such large data set is extremely complex and laborious. In this …
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Science, Community, and Culture: A Holistic Approach to Ecological Research and Education
… complex human-induced environmental changes. Standardized surveys have historically been used to identify drivers of species declines, but such studies are often resource-intensive, resulting in significant spatial and temporal data gaps when researchers lack the resources necessary to maintain …
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Geochemical and Taphonomic Signatures of Freshwater Mussel Shells as Evidence of Mercury-Related Extirpations in the North Fork Holston River, Virginia
… shells (n=366) collected from 5 sites, upstream and downstream of Saltville (where mercury was used from 1950-1972) were analyzed to test if: (1) geochemical signatures of shells record variation in mercury levels relative to the contamination source; and (2) shell taphonomy could be used to …
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Growth, Structure and Prediction of the Thermal Internal Boundary Layer
… internal Boundary Layer (TIBL) is a dynamic and turbulent mesoscale feature of the coastal atmosphere that forms over the land during conditions of onshore flow. The TIBL develops as an adjustment of the atmospheric boundary layer to the discontinuities of temperature and roughness that occur …
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Modelling streamflow response under different climate change scenarios in Luvuvhu River Catchment, South Africa
… the design of effective strategies. The factors and repercussions of climate change are multifaceted, encompassing several ironic elements, particularly the reality that low-income nations are the most vulnerable to its impacts while contributing the least to the human activities that exacerbate …
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Evolving Video Analysis: From Object Perception to Holistic Understanding
… to the proliferation of digital video content and the evolving capabilities of computer vision technologies. Despite these advancements, significant challenges remain in both video object perception and holistic video understanding, which are crucial for applications ranging from autonomous …
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Data Analysis of an Unsteady Cavitating Flow on a Venturi-type Profile
The instability modes and non-linear behavior of a cavitating flow have been studied based on the experimental data obtained from planar Particle Image Velocimetry (PIV). Three data-driven techniques, Proper Orthogonal Decomposition (POD), Dynamic Mode Decomposition (DMD), and Clustered-based …
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Forecasting groundwater contaminant plume development using statistical and machine learning methods
A persistent challenge in predicting the fate and transport of groundwater contaminants is the inherent geologic heterogeneity of the subsurface. Contaminant movement has been primarily modeled by simplifying the geology and accepting assumptions to solve the advection- dispersion-reaction …
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Distributed Location Estimation of a Moving Target Characterized by a Spatial Poisson Field
… (WSNs) are traditionally employed to collect spatial and temporal data characterizing various events. These data are then used to solve inference problems such as object detection, counting, classification, estimation and tracking. Distributed solutions provided by WSNs are often cost …
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Learning from multi-modal spatiotemporal data: machine learning approaches to advance resilience in smart grids
The electric grid has been expanding both in size and the technologies used. As of the 2020s, the United States power grid consists of more than 9,200 electric generating units with more than 1 million megawatts of generating capacity connected to more than 300,000 miles of transmission lines. The …
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AOMDV-E: energy aware event-based routing protocol for environmental monitoring
… technology, it is now possible to monitor and track fine-grained changes in different environments. Wireless sensor networks (WSN) provide very high quality and accurate analysis for monitoring of both spatial and temporal data thus providing the opportunity to monitor harsh outdoor …
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Implications of small-scale run-of-river hydropower schemes on fish populations in Scottish streams
… UK government’s commitment to renewable energy and associated financial incentives. The majority of new schemes are run-of-river, which have no significant storage of water, the turbine only making use of the available flow at the site. Hydropower is often presented as a clean and renewable …
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Advanced experimental modelling of hydrodynamic and aerodynamic wakes in floating offshore wind turbines using particle image velocimetry
Accurate evaluation of power generation and aerodynamic performance is essential for optimising energy production in floating wind farms. Understanding the influence of floating substructure motions on turbine aerodynamics is crucial for achieving this, as the two-way coupling between the turbine …
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The integration of informal minibus-taxi transport services into formal public transport planning and operations - A data driven approach
… Taxi (MBT) mode is poorly understood by planning and operational authorities, yet plays a big role in the economies of developing countries transporting the workforce to and from their places of employment and offering employment to thousands in the operations of these services, as well as the …
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Integrated watershed modeling of mountainous landscapes : Assessing the environmental performance of an intensive farming system in South Korea
… secure food for overgrowing world's population and the reduction of associated detrimental effects on the environment are of global concern. Intensive farming systems coupled with a high amounts of fertilizer applied to secure an increasing crop yield have a negative effects on the global …