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 19 of 19 for “"flow networks"”.
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Geometric methods for optimizing ramified flow networks
… approaches, optimal characteristics of nonlinear flow networks were examined. The first model studied was that of a fractal-like desalination plant. Solving the equations of diffusion by analogy to electrostatics, desalination graphs superimposed on the diffusion gradients were optimized to …
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Resilient agri-food flow networks across spatial scales
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms
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Understanding and modeling food flow networks across spatial scales
… from one location to another as ‘food flows’, reserving the term ‘food trade’ for the international exchange of food commodities between countries. Food flows underpin the complex food supply chains that are prevalent in our increasingly globalized world. Recently, much effort has been …
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Mathematical modelling of gas flow networks in pellet induratlon systems
… tool, GASFLO, which should evaluate pressure, flow and temperature distributions of process gas in pellet induration system networks. Pellet induration systems are complex industrial systems composed of heterogenous components. The magnitude of gas through leaks i.e. the air entering or leaving …
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Machine learning methods for detecting structure in metabolic flow networks
Metabolic flow networks are large scale, mechanistic biological models with good predictive power. However, even when they provide good predictions, interpreting the meaning of their structure can be very difficult, especially for large networks which model entire organisms. This is an …
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Application of Morphometric Relationships to Active Flow Networks Within the Mammoth Cave Watershed
… to describe the nature of surface-drainage networks. These parameters have been used in various studies of geomorphology and surface-water hydrology, such as flood characteristics, sediment yield, and evolution of basin morphology. Little progress has been made in applying these quantitative …
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Patterns of water table dynamics and runoff generation in a watershed with preferential flow networks
Our understanding of subsurface flow depends on assumptions of how event characteristics and spatial scale affect the relationships between subsurface water velocity, discharge, water table dynamics, and runoff response. In this thesis, three chapters explore some of these patterns for a hillslope …
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Comparison of Two Algorithms for Removing Depressions and Delineating Flow Networks From Grid Digital Elevation Models
… (DEMs) and their derivatives such as slope, flow direction and flow accumulation maps, are used frequently as inputs to hydrologic and nonpoint source modeling. The depressions which are frequently present in DEMs may represent the actual topography, but are often the result of errors. …
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Illinois Learning Standards Implementation and a Systems Perspective on Four High-Implementation Elementary Schools: A Multiple-Case Study
… and discussed. The study includes event-flow networks for each school and a discussion of Composition Systems Theory, a synthesis of systems theories.
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Active flows and networks
… physical, biological, or information transport networks are driven by small-scale local energy input. In the first part of this thesis, we introduce and explore two analytically tractable nonlinear models for such active flow networks, drawing motivation from recent microfluidic experiments on …
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Interactions between hydrology and biogeochemistry within riparian wetlands
… micro-topography (hummocks and hollows). Surface flow is episodically generated by a highly dynamical, threshold-controlled process where extended surface flow networks drain large fractions of the wetland's area. During intensive rainstorm events these surface flow networks, which contribute to …
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Modeling Time-Varying Networks with Applications to Neural Flow and Genetic Regulation
… biological processes are effectively modeled as networks, but a frequent assumption is that these networks do not change during data collection. However, that assumption does not hold for many phenomena, such as neural growth during learning or changes in genetic regulation during cell …
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Network security and min-cost max-flow problem
… operations research problems such as the maximum flow problem, the shortest path problem, and the network interdiction problem. However, in environments where network components are subject to adversarial failures, the network operator needs to strategically allocate at least some of her resources …
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Fluid flow through connected sub-seismic features in mudstone
… was studied to investigate the controls on fluid flow through low permeability clastic rock. Turbidite flows are present within the shale as very thin (1-5mm) fine grained sandstone beds, channels and lenses which would not be picked up by wireline logging. The shale is cut by a series of …
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Guiding Deep Probabilistic Models
Deep probabilistic models utilize deep neural networks to learn probability distributions in high-dimensional data spaces. Learning and inference in these models are complicated due to the difficulty of direct evaluation of the differences between the model distribution and the target. This thesis …
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A size-based model of carbon and nitrogen flows in plankton communities
… investigate the dynamics of carbon and nitrogen flows in plankton communities. All parameters in the model are determined by body size using empirically-determined relationships calculated from published data. The model is robust with respect to most parameters and assumptions. Because the model …
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Conic optimization of electric power systems
… description of alternating current power flow: it is nonconvex, and thus excludes power systems from many frameworks benefiting from theoretically and practically efficient algorithms. However, advances over the past twenty years in optimization have led to broader classes possessing such …
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Collaborative rescheduling of flights in a single mega-hub network
… arrival departure waves at multiple hubs these networks achieve efficient passenger flows. Recently, there has been much growth in the development of global single mega-hub (SMH) flight networks that have a significantly different operating cost structure and schedule design. These are located …
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Using Accumulation Based Network Identification Methods to Identify Hill Slope Scale Drainage Networks in a Raster GIS
… ANIMs for deriving properties such as overland flow length for nonpoint source pollution models, without calibrating the accumulation threshold value. However, the basic assumption that underlies ANIMs is that convergent topography will yield a more rapid accumulation of cells, and thus, more …